INFO 14-Mar 09:09:28 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 14-Mar 09:09:28 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 14-Mar 09:09:28 config PORT Loading config: /data/home/gramener/active-learning/gramex.yaml DEBUG 14-Mar 09:09:28 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: version DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: mime DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: threadpool DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: cache DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: handlers DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: log DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: eventlog DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: app DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: schedule INFO 14-Mar 09:09:37 __init__ PORT Initialising schedule:gramex_update DEBUG 14-Mar 09:09:37 scheduler PORT Scheduling gramex_update after 53422s DEBUG 14-Mar 09:09:37 __init__ PORT Loading service: url DEBUG 14-Mar 09:09:37 __init__ PORT url: apps/ui/bootstrap4-KXOFy (FunctionHandler) DEBUG 14-Mar 09:09:37 __init__ PORT Gramex update ran recently. Deferring check. DEBUG 14-Mar 09:09:47 __init__ PORT url: apps/ui/static-HjRbF (FileHandler) DEBUG 14-Mar 09:09:47 __init__ PORT url: cal_upload (UploadHandler) DEBUG 14-Mar 09:09:47 __init__ PORT url: cal_build_model (FunctionHandler) /data/anaconda/envs/py35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Using TensorFlow backend. 2019-03-14 09:10:13.395389: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-03-14 09:10:15.117967: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: Tesla M60 major: 5 minor: 2 memoryClockRate(GHz): 1.1775 pciBusID: 8c26:00:00.0 totalMemory: 7.94GiB freeMemory: 7.86GiB 2019-03-14 09:10:15.118021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-03-14 09:10:34.585112: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-03-14 09:10:34.585173: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-03-14 09:10:34.585186: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-03-14 09:10:34.585405: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7581 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 8c26:00:00.0, compute capability: 5.2) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_run_model (FunctionHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_eval_model (FunctionHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_active_learn (FunctionHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_train (FunctionHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_del_pname (FunctionHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_activity_log (FunctionHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_write_file (FormHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_job_result (FunctionHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_jobs_status (FormHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_jobs_db (FunctionHandler) DEBUG 14-Mar 09:10:43 __init__ PORT url: cal_home (Filehandler) ERROR 14-Mar 09:10:43 __init__ PORT url: cal_home: ignoring missing handler Filehandler DEBUG 14-Mar 09:10:43 __init__ PORT url: favicon (FileHandler) -90 DEBUG 14-Mar 09:10:43 __init__ PORT url: default (FileHandler) -100 DEBUG 14-Mar 09:10:43 __init__ PORT Running callback: app INFO 14-Mar 09:10:43 __init__ PORT Listening on port 8080 INFO 14-Mar 09:10:43 __init__ 8080 opens the browser. starts the debugger. 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(103.41.99.58) 1.80ms default INFO 14-Mar 09:27:00 __init__ 8080 304 GET /ui/bootstraptheme.css (103.41.99.58) 1.21ms apps/ui/bootstrap4-KXOFy INFO 14-Mar 09:27:00 __init__ 8080 304 GET /get_project (103.41.99.58) 2.35ms cal_write_file INFO 14-Mar 09:27:00 __init__ 8080 200 POST /activity_log (103.41.99.58) 0.68ms cal_activity_log DEBUG 14-Mar 09:27:02 cache 8080 Flushing /home/gramener/.config/gramexdata/session.json WARNING 14-Mar 09:28:01 __init__ 8080 404 GET /active-learning (103.41.99.58) 189.56ms default DEBUG 14-Mar 09:28:02 cache 8080 Flushing /home/gramener/.config/gramexdata/session.json INFO 14-Mar 09:28:42 __init__ 8080 200 GET / (103.41.99.58) 1.30ms default DEBUG 14-Mar 09:28:47 cache 8080 Flushing /home/gramener/.config/gramexdata/session.json INFO 14-Mar 09:28:55 __init__ 8080 304 GET / (103.41.99.58) 1.00ms default DEBUG 14-Mar 09:28:57 cache 8080 Flushing /home/gramener/.config/gramexdata/session.json INFO 14-Mar 09:28:59 __init__ 8080 304 GET / (103.41.99.58) 1.00ms default DEBUG 14-Mar 09:29:02 cache 8080 Flushing /home/gramener/.config/gramexdata/session.json INFO 14-Mar 09:29:02 __init__ 8080 304 GET / (103.41.99.58) 1.01ms default DEBUG 14-Mar 09:29:07 cache 8080 Flushing /home/gramener/.config/gramexdata/session.json WARNING 14-Mar 09:30:33 __init__ 8080 404 GET /* (103.41.99.58) 1.37ms default DEBUG 14-Mar 09:30:37 cache 8080 Flushing /home/gramener/.config/gramexdata/session.json INFO 14-Mar 09:31:57 __init__ 8080 200 GET / (103.41.99.58) 1.49ms default INFO 14-Mar 09:31:57 __init__ 8080 200 GET /ui/bootstraptheme.css (103.41.99.58) 5.23ms apps/ui/bootstrap4-KXOFy INFO 14-Mar 09:31:57 __init__ 8080 200 GET /css/common.css (103.41.99.58) 0.81ms default INFO 14-Mar 09:31:57 __init__ 8080 200 GET /js/main.js (103.41.99.58) 1.02ms default INFO 14-Mar 09:31:58 __init__ 8080 304 GET /get_project (103.41.99.58) 1.82ms cal_write_file INFO 14-Mar 09:31:58 __init__ 8080 200 POST /activity_log (103.41.99.58) 0.67ms cal_activity_log DEBUG 14-Mar 09:32:02 cache 8080 Flushing /home/gramener/.config/gramexdata/session.json WARNING 14-Mar 09:37:45 __init__ 8080 404 GET /active-learning/ (103.41.99.58) 1.39ms default DEBUG 14-Mar 09:37:47 cache 8080 Flushing /home/gramener/.config/gramexdata/session.json INFO 28-May 12:24:30 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 28-May 12:24:30 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 28-May 12:24:31 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 28-May 12:24:31 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 28-May 12:24:31 __init__ PORT Loading service: version DEBUG 28-May 12:24:31 __init__ PORT Loading service: mime DEBUG 28-May 12:24:31 __init__ PORT Loading service: threadpool DEBUG 28-May 12:24:31 __init__ PORT Loading service: cache DEBUG 28-May 12:24:31 __init__ PORT Loading service: handlers DEBUG 28-May 12:24:31 __init__ PORT Loading service: log DEBUG 28-May 12:24:31 __init__ PORT Loading service: eventlog DEBUG 28-May 12:24:31 __init__ PORT Loading service: app DEBUG 28-May 12:24:31 __init__ PORT Loading service: schedule INFO 28-May 12:24:31 __init__ PORT Initialising schedule:gramex_update DEBUG 28-May 12:24:31 scheduler PORT Scheduling gramex_update after 41729s DEBUG 28-May 12:24:31 __init__ PORT Loading service: url DEBUG 28-May 12:24:31 __init__ PORT url: apps/ui/bootstrap4-bgoWs (FunctionHandler) DEBUG 28-May 12:24:31 __init__ PORT Gramex update ran recently. Deferring check. DEBUG 28-May 12:24:31 __init__ PORT url: apps/ui/static-3etC7 (FileHandler) DEBUG 28-May 12:24:31 __init__ PORT url: cal_upload (UploadHandler) DEBUG 28-May 12:24:31 __init__ PORT url: cal_build_model (FunctionHandler) /data/anaconda/envs/py35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Using TensorFlow backend. 2019-05-28 12:24:32.824348: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-28 12:24:33.912611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: Tesla M60 major: 5 minor: 2 memoryClockRate(GHz): 1.1775 pciBusID: 3a15:00:00.0 totalMemory: 7.94GiB freeMemory: 7.86GiB 2019-05-28 12:24:33.912679: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-28 12:24:34.247807: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-28 12:24:34.247890: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-28 12:24:34.247903: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-28 12:24:34.248122: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7581 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 28-May 12:24:35 __init__ PORT url: cal_run_model (FunctionHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_eval_model (FunctionHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_active_learn (FunctionHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_train (FunctionHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_del_pname (FunctionHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_activity_log (FunctionHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_write_file (FormHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_job_result (FunctionHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_jobs_status (FormHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_jobs_db (FunctionHandler) DEBUG 28-May 12:24:35 __init__ PORT url: cal_home (Filehandler) ERROR 28-May 12:24:35 __init__ PORT url: cal_home: ignoring missing handler Filehandler DEBUG 28-May 12:24:35 __init__ PORT url: favicon (FileHandler) -90 DEBUG 28-May 12:24:35 __init__ PORT url: default (FileHandler) -100 DEBUG 28-May 12:24:35 __init__ PORT Running callback: app INFO 28-May 12:24:35 __init__ PORT Listening on port 8002 INFO 28-May 12:24:35 __init__ 8002 opens the browser. starts the debugger. INFO 28-May 12:25:04 __init__ 8002 200 GET / (61.12.75.180) 2.79ms default INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/bootstraptheme.css (61.12.75.180) 10.80ms apps/ui/bootstrap4-bgoWs INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (61.12.75.180) 1.89ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /css/common.css (61.12.75.180) 0.89ms default INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (61.12.75.180) 1.10ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (61.12.75.180) 1.16ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (61.12.75.180) 1.10ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (61.12.75.180) 4.53ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /img/gramener.png (61.12.75.180) 0.90ms default INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (61.12.75.180) 1.64ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (61.12.75.180) 2.58ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (61.12.75.180) 2.15ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/lodash/lodash.min.js (61.12.75.180) 4.22ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (61.12.75.180) 2.23ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (61.12.75.180) 3.31ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (61.12.75.180) 2.24ms apps/ui/static-3etC7 INFO 28-May 12:25:04 __init__ 8002 200 GET /js/main.js (61.12.75.180) 1.25ms default INFO 28-May 12:25:05 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (61.12.75.180) 3.37ms apps/ui/static-3etC7 DEBUG 28-May 12:25:06 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 28-May 12:25:07 __init__ 8002 200 GET /get_project (61.12.75.180) 9.18ms cal_write_file INFO 28-May 12:25:07 __init__ 8002 200 POST /activity_log (61.12.75.180) 1.06ms cal_activity_log DEBUG 28-May 12:25:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 28-May 12:25:43 __init__ 8002 304 GET /ui/bootstraptheme.css (61.12.75.180) 2.00ms apps/ui/bootstrap4-bgoWs INFO 28-May 12:25:44 __init__ 8002 304 GET /get_project (61.12.75.180) 2.27ms cal_write_file INFO 28-May 12:25:44 __init__ 8002 200 POST /activity_log (61.12.75.180) 0.97ms cal_activity_log DEBUG 28-May 12:25:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 28-May 12:33:15 __init__ 8002 200 GET / (106.207.200.73) 1.43ms default INFO 28-May 12:33:15 __init__ 8002 200 GET 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(106.207.200.73) 1.50ms default INFO 28-May 12:33:17 __init__ 8002 200 GET /img/gramener.png (106.207.200.73) 0.87ms default INFO 28-May 12:33:17 __init__ 8002 200 GET /get_project (106.207.200.73) 2.13ms cal_write_file INFO 28-May 12:33:18 __init__ 8002 200 POST /activity_log (106.207.200.73) 0.95ms cal_activity_log DEBUG 28-May 12:33:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 28-May 13:17:13 __init__ 8002 200 GET / (49.37.202.45) 1.42ms default INFO 28-May 13:17:13 __init__ 8002 200 GET /ui/bootstraptheme.css (49.37.202.45) 6.01ms apps/ui/bootstrap4-bgoWs INFO 28-May 13:17:13 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (49.37.202.45) 1.70ms apps/ui/static-3etC7 INFO 28-May 13:17:13 __init__ 8002 200 GET /css/common.css (49.37.202.45) 0.86ms default INFO 28-May 13:17:14 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (49.37.202.45) 1.36ms apps/ui/static-3etC7 INFO 28-May 13:17:14 __init__ 8002 200 GET 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__init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 29-May 06:23:37 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 29-May 06:23:37 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 29-May 06:23:37 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 29-May 06:23:37 __init__ PORT Loading service: version DEBUG 29-May 06:23:37 __init__ PORT Loading service: mime DEBUG 29-May 06:23:37 __init__ PORT Loading service: threadpool DEBUG 29-May 06:23:37 __init__ PORT Loading service: cache DEBUG 29-May 06:23:37 __init__ PORT Loading service: handlers DEBUG 29-May 06:23:37 __init__ PORT Loading service: log DEBUG 29-May 06:23:37 __init__ PORT Loading service: eventlog DEBUG 29-May 06:23:37 __init__ PORT Loading service: app DEBUG 29-May 06:23:37 __init__ PORT Loading service: schedule INFO 29-May 06:23:37 __init__ PORT Initialising schedule:gramex_update DEBUG 29-May 06:23:37 scheduler PORT Scheduling gramex_update after 63382s DEBUG 29-May 06:23:37 __init__ PORT Loading service: url DEBUG 29-May 06:23:37 __init__ PORT url: apps/ui/bootstrap4-gKWPZ (FunctionHandler) DEBUG 29-May 06:23:37 __init__ PORT Gramex update ran recently. Deferring check. DEBUG 29-May 06:23:38 __init__ PORT url: apps/ui/static-AKuqz (FileHandler) DEBUG 29-May 06:23:38 __init__ PORT url: cal_upload (UploadHandler) DEBUG 29-May 06:23:38 __init__ PORT url: cal_build_model (FunctionHandler) /data/anaconda/envs/py35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Using TensorFlow backend. 2019-05-29 06:23:39.264574: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-29 06:23:40.333194: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: Tesla M60 major: 5 minor: 2 memoryClockRate(GHz): 1.1775 pciBusID: 3a15:00:00.0 totalMemory: 7.94GiB freeMemory: 7.86GiB 2019-05-29 06:23:40.333262: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 06:23:40.666859: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 06:23:40.666940: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 06:23:40.666954: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 06:23:40.667170: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7581 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 29-May 06:23:41 __init__ PORT url: cal_run_model (FunctionHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_eval_model (FunctionHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_active_learn (FunctionHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_train (FunctionHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_del_pname (FunctionHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_activity_log (FunctionHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_write_file (FormHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_job_result (FunctionHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_jobs_status (FormHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_jobs_db (FunctionHandler) DEBUG 29-May 06:23:41 __init__ PORT url: cal_home (Filehandler) ERROR 29-May 06:23:41 __init__ PORT url: cal_home: ignoring missing handler Filehandler DEBUG 29-May 06:23:41 __init__ PORT url: favicon (FileHandler) -90 DEBUG 29-May 06:23:41 __init__ PORT url: default (FileHandler) -100 DEBUG 29-May 06:23:41 __init__ PORT Running callback: app INFO 29-May 06:23:41 __init__ PORT Listening on port 8002 INFO 29-May 06:23:41 __init__ 8002 opens the browser. starts the debugger. INFO 29-May 06:23:48 __init__ 8002 200 GET /get_project (192.140.153.209) 10.54ms cal_write_file INFO 29-May 06:23:49 __init__ 8002 200 POST /activity_log (192.140.153.209) 1.25ms cal_activity_log INFO 29-May 06:31:37 __init__ 8002 304 GET / (192.140.153.209) 2.08ms default INFO 29-May 06:31:38 __init__ 8002 304 GET /ui/bootstraptheme.css (192.140.153.209) 6.35ms apps/ui/bootstrap4-gKWPZ INFO 29-May 06:31:38 __init__ 8002 304 GET /css/common.css (192.140.153.209) 1.45ms default INFO 29-May 06:31:38 __init__ 8002 304 GET /img/gramener.png (192.140.153.209) 0.92ms default INFO 29-May 06:31:38 __init__ 8002 304 GET /js/main.js (192.140.153.209) 1.08ms default INFO 29-May 06:31:39 __init__ 8002 304 GET /get_project (192.140.153.209) 2.21ms cal_write_file INFO 29-May 06:31:39 __init__ 8002 200 POST /activity_log (192.140.153.209) 0.87ms cal_activity_log INFO 29-May 06:32:32 __init__ 8002 200 GET / (27.34.250.34) 1.47ms default INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/bootstraptheme.css (27.34.250.34) 5.55ms apps/ui/bootstrap4-gKWPZ INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (27.34.250.34) 1.78ms apps/ui/static-AKuqz INFO 29-May 06:32:32 __init__ 8002 200 GET /css/common.css (27.34.250.34) 1.05ms default INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (27.34.250.34) 1.09ms apps/ui/static-AKuqz INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (27.34.250.34) 1.14ms apps/ui/static-AKuqz INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (27.34.250.34) 1.27ms apps/ui/static-AKuqz INFO 29-May 06:32:32 __init__ 8002 200 GET /img/gramener.png (27.34.250.34) 0.88ms default INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (27.34.250.34) 4.77ms apps/ui/static-AKuqz INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (27.34.250.34) 1.51ms apps/ui/static-AKuqz INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (27.34.250.34) 2.63ms apps/ui/static-AKuqz INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (27.34.250.34) 2.11ms apps/ui/static-AKuqz INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/lodash/lodash.min.js (27.34.250.34) 3.87ms apps/ui/static-AKuqz INFO 29-May 06:32:32 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (27.34.250.34) 2.17ms apps/ui/static-AKuqz INFO 29-May 06:32:33 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (27.34.250.34) 4.32ms apps/ui/static-AKuqz INFO 29-May 06:32:33 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (27.34.250.34) 2.23ms apps/ui/static-AKuqz INFO 29-May 06:32:33 __init__ 8002 200 GET /js/main.js (27.34.250.34) 1.28ms default DEBUG 29-May 06:32:33 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 06:32:35 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (27.34.250.34) 3.37ms apps/ui/static-AKuqz DEBUG 29-May 06:32:38 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 06:32:56 __init__ 8002 200 GET /get_project (27.34.250.34) 1.83ms cal_write_file INFO 29-May 06:32:57 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.94ms cal_activity_log DEBUG 29-May 06:32:58 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 06:55:33 __init__ 8002 304 GET / (27.34.250.34) 1.12ms default INFO 29-May 06:55:33 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 1.07ms apps/ui/bootstrap4-gKWPZ INFO 29-May 06:55:33 __init__ 8002 304 GET /css/common.css (27.34.250.34) 0.95ms default INFO 29-May 06:55:33 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.85ms default INFO 29-May 06:55:33 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.85ms default INFO 29-May 06:55:34 __init__ 8002 304 GET /get_project (27.34.250.34) 2.33ms cal_write_file INFO 29-May 06:55:34 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.93ms cal_activity_log DEBUG 29-May 06:55:38 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 06:55:47 __init__ 8002 200 POST /upload (27.34.250.34) 129.19ms cal_upload DEBUG 29-May 06:55:48 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 06:59:19 __init__ 8002 200 POST /get_project (27.34.250.34) 165.80ms cal_write_file INFO 29-May 06:59:22 __init__ 8002 200 POST /build_initial_model (27.34.250.34) 2942.66ms cal_build_model INFO 29-May 06:59:22 __init__ 8002 200 POST /activity_log (27.34.250.34) 19.52ms cal_activity_log INFO 29-May 06:59:22 __init__ 8002 200 POST /jobs_db (27.34.250.34) 14.36ms cal_jobs_db 2019-05-29 06:59:24.218151: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. Epoch 1/10 2019-05-29 06:59:27.422186: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 06:59:27.422262: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 06:59:27.422276: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 06:59:27.422285: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 06:59:27.422388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7581 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 06:59:28 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 06:59:33 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.94ms cal_jobs_db INFO 29-May 06:59:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 32/15968 [..............................] - ETA: 2:11:52 - loss: 2.1312 - top_k_categorical_accuracy: 0.0625 64/15968 [..............................] - ETA: 1:07:34 - loss: 1.9557 - top_k_categorical_accuracy: 0.1562 96/15968 [..............................] - ETA: 46:03 - loss: 1.8026 - top_k_categorical_accuracy: 0.1562 128/15968 [..............................] - ETA: 35:16 - loss: 1.6484 - top_k_categorical_accuracy: 0.1484 160/15968 [..............................] - ETA: 28:46 - loss: 1.5188 - top_k_categorical_accuracy: 0.1562INFO 29-May 06:59:45 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 192/15968 [..............................] - ETA: 24:27 - loss: 1.3840 - top_k_categorical_accuracy: 0.1615 224/15968 [..............................] - ETA: 21:21 - loss: 1.2671 - top_k_categorical_accuracy: 0.1875 256/15968 [..............................] - ETA: 19:02 - loss: 1.1629 - top_k_categorical_accuracy: 0.2070 288/15968 [..............................] - ETA: 17:13 - loss: 1.0788 - top_k_categorical_accuracy: 0.2431 320/15968 [..............................] - ETA: 15:47 - loss: 1.0088 - top_k_categorical_accuracy: 0.2531 352/15968 [..............................] - ETA: 14:35 - loss: 0.9560 - top_k_categorical_accuracy: 0.2528 384/15968 [..............................] - ETA: 13:36 - loss: 0.9075 - top_k_categorical_accuracy: 0.2682 416/15968 [..............................] - ETA: 12:46 - loss: 0.8700 - top_k_categorical_accuracy: 0.2692 448/15968 [..............................] - ETA: 12:03 - loss: 0.8346 - top_k_categorical_accuracy: 0.2924 480/15968 [..............................] - ETA: 11:26 - loss: 0.8019 - top_k_categorical_accuracy: 0.2958 512/15968 [..............................] - ETA: 10:53 - loss: 0.7698 - top_k_categorical_accuracy: 0.3125 544/15968 [>.............................] - ETA: 10:24 - loss: 0.7444 - top_k_categorical_accuracy: 0.3254 576/15968 [>.............................] - ETA: 9:58 - loss: 0.7257 - top_k_categorical_accuracy: 0.3281 608/15968 [>.............................] - ETA: 9:35 - loss: 0.7102 - top_k_categorical_accuracy: 0.3306INFO 29-May 06:59:50 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.91ms cal_jobs_db 640/15968 [>.............................] - ETA: 9:14 - loss: 0.6932 - top_k_categorical_accuracy: 0.3422 672/15968 [>.............................] - ETA: 8:56 - loss: 0.6800 - top_k_categorical_accuracy: 0.3542 704/15968 [>.............................] - ETA: 8:39 - loss: 0.6684 - top_k_categorical_accuracy: 0.3594 736/15968 [>.............................] - ETA: 8:23 - loss: 0.6535 - top_k_categorical_accuracy: 0.3682 768/15968 [>.............................] - ETA: 8:08 - loss: 0.6400 - top_k_categorical_accuracy: 0.3776 800/15968 [>.............................] - ETA: 7:55 - loss: 0.6322 - top_k_categorical_accuracy: 0.3812 832/15968 [>.............................] - ETA: 7:43 - loss: 0.6209 - top_k_categorical_accuracy: 0.3894 864/15968 [>.............................] - ETA: 7:31 - loss: 0.6100 - top_k_categorical_accuracy: 0.3958 896/15968 [>.............................] - ETA: 7:21 - loss: 0.6021 - top_k_categorical_accuracy: 0.4007 928/15968 [>.............................] - ETA: 7:11 - loss: 0.5969 - top_k_categorical_accuracy: 0.4009 960/15968 [>.............................] - ETA: 7:01 - loss: 0.5900 - top_k_categorical_accuracy: 0.4042 992/15968 [>.............................] - ETA: 6:53 - loss: 0.5815 - top_k_categorical_accuracy: 0.4093 1024/15968 [>.............................] - ETA: 6:45 - loss: 0.5747 - top_k_categorical_accuracy: 0.4131 1056/15968 [>.............................] - ETA: 6:37 - loss: 0.5685 - top_k_categorical_accuracy: 0.4138INFO 29-May 06:59:55 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.98ms cal_jobs_db 1088/15968 [=>............................] - ETA: 6:30 - loss: 0.5600 - top_k_categorical_accuracy: 0.4191 1120/15968 [=>............................] - ETA: 6:23 - loss: 0.5539 - top_k_categorical_accuracy: 0.4232 1152/15968 [=>............................] - ETA: 6:16 - loss: 0.5466 - top_k_categorical_accuracy: 0.4253 1184/15968 [=>............................] - ETA: 6:10 - loss: 0.5420 - top_k_categorical_accuracy: 0.4307 1216/15968 [=>............................] - ETA: 6:04 - loss: 0.5346 - top_k_categorical_accuracy: 0.4350 1248/15968 [=>............................] - ETA: 5:58 - loss: 0.5299 - top_k_categorical_accuracy: 0.4343 1280/15968 [=>............................] - ETA: 5:53 - loss: 0.5248 - top_k_categorical_accuracy: 0.4367 1312/15968 [=>............................] - ETA: 5:48 - loss: 0.5220 - top_k_categorical_accuracy: 0.4390 1344/15968 [=>............................] - ETA: 5:43 - loss: 0.5187 - top_k_categorical_accuracy: 0.4390 1376/15968 [=>............................] - ETA: 5:38 - loss: 0.5149 - top_k_categorical_accuracy: 0.4419 1408/15968 [=>............................] - ETA: 5:34 - loss: 0.5090 - top_k_categorical_accuracy: 0.4460 1440/15968 [=>............................] - ETA: 5:30 - loss: 0.5050 - top_k_categorical_accuracy: 0.4451 1472/15968 [=>............................] - ETA: 5:25 - loss: 0.5010 - top_k_categorical_accuracy: 0.4463 1504/15968 [=>............................] - ETA: 5:21 - loss: 0.4968 - top_k_categorical_accuracy: 0.4468INFO 29-May 07:00:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 1536/15968 [=>............................] - ETA: 5:18 - loss: 0.4920 - top_k_categorical_accuracy: 0.4531 1568/15968 [=>............................] - ETA: 5:14 - loss: 0.4883 - top_k_categorical_accuracy: 0.4541 1600/15968 [==>...........................] - ETA: 5:10 - loss: 0.4851 - top_k_categorical_accuracy: 0.4569 1632/15968 [==>...........................] - ETA: 5:07 - loss: 0.4820 - top_k_categorical_accuracy: 0.4571 1664/15968 [==>...........................] - ETA: 5:04 - loss: 0.4777 - top_k_categorical_accuracy: 0.4573 1696/15968 [==>...........................] - ETA: 5:01 - loss: 0.4746 - top_k_categorical_accuracy: 0.4587 1728/15968 [==>...........................] - ETA: 4:58 - loss: 0.4707 - top_k_categorical_accuracy: 0.4589 1760/15968 [==>...........................] - ETA: 4:55 - loss: 0.4670 - top_k_categorical_accuracy: 0.4619 1792/15968 [==>...........................] - ETA: 4:52 - loss: 0.4645 - top_k_categorical_accuracy: 0.4621 1824/15968 [==>...........................] - ETA: 4:49 - loss: 0.4625 - top_k_categorical_accuracy: 0.4660 1856/15968 [==>...........................] - ETA: 4:46 - loss: 0.4602 - top_k_categorical_accuracy: 0.4650INFO 29-May 07:00:05 __init__ 8002 200 GET /?p_name=Dell_mot&jobid=1&activity=build (27.34.250.34) 1.56ms default 1888/15968 [==>...........................] - ETA: 4:43 - loss: 0.4565 - top_k_categorical_accuracy: 0.4661 1920/15968 [==>...........................] - ETA: 4:41 - loss: 0.4539 - top_k_categorical_accuracy: 0.4682INFO 29-May 07:00:05 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 1.16ms apps/ui/bootstrap4-gKWPZ INFO 29-May 07:00:05 __init__ 8002 304 GET /css/common.css (27.34.250.34) 1.61ms default INFO 29-May 07:00:05 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 1.07ms default INFO 29-May 07:00:05 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.90ms default 1952/15968 [==>...........................] - ETA: 4:38 - loss: 0.4515 - top_k_categorical_accuracy: 0.4682INFO 29-May 07:00:06 __init__ 8002 200 GET /get_project (27.34.250.34) 5.53ms cal_write_file 1984/15968 [==>...........................] - ETA: 4:36 - loss: 0.4483 - top_k_categorical_accuracy: 0.4693INFO 29-May 07:00:06 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.98ms cal_activity_log INFO 29-May 07:00:06 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.74ms cal_activity_log 2016/15968 [==>...........................] - ETA: 4:34 - loss: 0.4468 - top_k_categorical_accuracy: 0.4688 2048/15968 [==>...........................] - ETA: 4:31 - loss: 0.4445 - top_k_categorical_accuracy: 0.4688 2080/15968 [==>...........................] - ETA: 4:29 - loss: 0.4423 - top_k_categorical_accuracy: 0.4692 2112/15968 [==>...........................] - ETA: 4:27 - loss: 0.4400 - top_k_categorical_accuracy: 0.4702 2144/15968 [===>..........................] - ETA: 4:25 - loss: 0.4383 - top_k_categorical_accuracy: 0.4701 2176/15968 [===>..........................] - ETA: 4:23 - loss: 0.4368 - top_k_categorical_accuracy: 0.4697 2208/15968 [===>..........................] - ETA: 4:21 - loss: 0.4343 - top_k_categorical_accuracy: 0.4706 2240/15968 [===>..........................] - 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ETA: 4:01 - loss: 0.4124 - top_k_categorical_accuracy: 0.4871 2592/15968 [===>..........................] - ETA: 4:00 - loss: 0.4111 - top_k_categorical_accuracy: 0.4888INFO 29-May 07:00:13 __init__ 8002 200 POST /delete_pname (27.34.250.34) 6.21ms cal_del_pname INFO 29-May 07:00:14 __init__ 8002 304 GET /get_project (27.34.250.34) 5.97ms cal_write_file 2624/15968 [===>..........................] - ETA: 3:58 - loss: 0.4096 - top_k_categorical_accuracy: 0.4878error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 29-May 07:00:14 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 29-May 07:00:14 __init__ 8002 200 POST /activity_log (27.34.250.34) 2.26ms cal_activity_log error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 29-May 07:00:14 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 29-May 07:00:14 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.95ms cal_activity_log 2656/15968 [===>..........................] - ETA: 3:56 - loss: 0.4070 - top_k_categorical_accuracy: 0.4891 2688/15968 [====>.........................] - ETA: 3:55 - loss: 0.4048 - top_k_categorical_accuracy: 0.4896 2720/15968 [====>.........................] - ETA: 3:53 - loss: 0.4031 - top_k_categorical_accuracy: 0.4915 2752/15968 [====>.........................] - ETA: 3:52 - loss: 0.4007 - top_k_categorical_accuracy: 0.4927 2784/15968 [====>.........................] - ETA: 3:51 - loss: 0.3997 - top_k_categorical_accuracy: 0.4928 2816/15968 [====>.........................] - ETA: 3:49 - loss: 0.3981 - top_k_categorical_accuracy: 0.4947 2848/15968 [====>.........................] - ETA: 3:48 - loss: 0.3963 - top_k_categorical_accuracy: 0.4968 2880/15968 [====>.........................] - ETA: 3:46 - loss: 0.3947 - top_k_categorical_accuracy: 0.4972 2912/15968 [====>.........................] - ETA: 3:45 - loss: 0.3938 - top_k_categorical_accuracy: 0.4966 2944/15968 [====>.........................] - ETA: 3:44 - loss: 0.3928 - top_k_categorical_accuracy: 0.4963 2976/15968 [====>.........................] - 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ETA: 2:40 - loss: 0.3249 - top_k_categorical_accuracy: 0.5428 5248/15968 [========>.....................] - ETA: 2:39 - loss: 0.3244 - top_k_categorical_accuracy: 0.5429 5280/15968 [========>.....................] - ETA: 2:38 - loss: 0.3237 - top_k_categorical_accuracy: 0.5428 5312/15968 [========>.....................] - ETA: 2:38 - loss: 0.3230 - top_k_categorical_accuracy: 0.5441 5344/15968 [=========>....................] - ETA: 2:37 - loss: 0.3221 - top_k_categorical_accuracy: 0.5443 5376/15968 [=========>....................] - ETA: 2:36 - loss: 0.3214 - top_k_categorical_accuracy: 0.5456 5408/15968 [=========>....................] - ETA: 2:36 - loss: 0.3210 - top_k_categorical_accuracy: 0.5468 5440/15968 [=========>....................] - ETA: 2:35 - loss: 0.3201 - top_k_categorical_accuracy: 0.5478 5472/15968 [=========>....................] - ETA: 2:35 - loss: 0.3195 - top_k_categorical_accuracy: 0.5481 5504/15968 [=========>....................] - ETA: 2:34 - loss: 0.3187 - top_k_categorical_accuracy: 0.5487 5536/15968 [=========>....................] - ETA: 2:33 - loss: 0.3183 - top_k_categorical_accuracy: 0.5479 5568/15968 [=========>....................] - ETA: 2:33 - loss: 0.3176 - top_k_categorical_accuracy: 0.5483 5600/15968 [=========>....................] - ETA: 2:32 - loss: 0.3170 - top_k_categorical_accuracy: 0.5487 5632/15968 [=========>....................] - ETA: 2:31 - loss: 0.3163 - top_k_categorical_accuracy: 0.5492 5664/15968 [=========>....................] - ETA: 2:31 - loss: 0.3158 - top_k_categorical_accuracy: 0.5493INFO 29-May 07:00:50 __init__ 8002 200 POST /upload (27.34.250.34) 7.01ms cal_upload 5696/15968 [=========>....................] - ETA: 2:30 - loss: 0.3152 - top_k_categorical_accuracy: 0.5495 5728/15968 [=========>....................] - ETA: 2:29 - loss: 0.3146 - top_k_categorical_accuracy: 0.5491 5760/15968 [=========>....................] - ETA: 2:29 - loss: 0.3139 - top_k_categorical_accuracy: 0.5497 5792/15968 [=========>....................] - ETA: 2:28 - loss: 0.3134 - top_k_categorical_accuracy: 0.5496 5824/15968 [=========>....................] - ETA: 2:28 - loss: 0.3129 - top_k_categorical_accuracy: 0.5505 5856/15968 [==========>...................] - ETA: 2:27 - loss: 0.3123 - top_k_categorical_accuracy: 0.5511 5888/15968 [==========>...................] - ETA: 2:26 - loss: 0.3116 - top_k_categorical_accuracy: 0.5515 5920/15968 [==========>...................] - ETA: 2:26 - loss: 0.3109 - top_k_categorical_accuracy: 0.5525 5952/15968 [==========>...................] - ETA: 2:25 - loss: 0.3104 - top_k_categorical_accuracy: 0.5529 5984/15968 [==========>...................] - ETA: 2:25 - loss: 0.3097 - top_k_categorical_accuracy: 0.5535 6016/15968 [==========>...................] - ETA: 2:24 - loss: 0.3093 - top_k_categorical_accuracy: 0.5544 6048/15968 [==========>...................] - ETA: 2:23 - loss: 0.3087 - top_k_categorical_accuracy: 0.5549 6080/15968 [==========>...................] - ETA: 2:23 - loss: 0.3082 - top_k_categorical_accuracy: 0.5548 6112/15968 [==========>...................] - ETA: 2:22 - loss: 0.3078 - top_k_categorical_accuracy: 0.5550 6144/15968 [==========>...................] - ETA: 2:22 - loss: 0.3073 - top_k_categorical_accuracy: 0.5553 6176/15968 [==========>...................] - ETA: 2:21 - loss: 0.3070 - top_k_categorical_accuracy: 0.5557 6208/15968 [==========>...................] - ETA: 2:20 - loss: 0.3064 - top_k_categorical_accuracy: 0.5567 6240/15968 [==========>...................] - ETA: 2:20 - loss: 0.3060 - top_k_categorical_accuracy: 0.5577 6272/15968 [==========>...................] - ETA: 2:19 - loss: 0.3055 - top_k_categorical_accuracy: 0.5584 6304/15968 [==========>...................] - ETA: 2:19 - loss: 0.3051 - top_k_categorical_accuracy: 0.5582INFO 29-May 07:00:58 __init__ 8002 200 POST /get_project (27.34.250.34) 4.89ms cal_write_file 6336/15968 [==========>...................] - ETA: 2:18 - loss: 0.3046 - top_k_categorical_accuracy: 0.5586 6368/15968 [==========>...................] - ETA: 2:18 - loss: 0.3042 - top_k_categorical_accuracy: 0.5589 6400/15968 [===========>..................] - ETA: 2:17 - loss: 0.3037 - top_k_categorical_accuracy: 0.5595 6432/15968 [===========>..................] - ETA: 2:16 - loss: 0.3032 - top_k_categorical_accuracy: 0.5600 6464/15968 [===========>..................] - ETA: 2:16 - loss: 0.3026 - top_k_categorical_accuracy: 0.5600INFO 29-May 07:01:00 __init__ 8002 200 POST /build_initial_model (27.34.250.34) 2206.17ms cal_build_model 6496/15968 [===========>..................] - ETA: 2:16 - loss: 0.3020 - top_k_categorical_accuracy: 0.56082019-05-29 07:01:00.771144: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 07:01:00.771215: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 07:01:00.771229: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 07:01:00.771239: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 07:01:00.771355: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7581 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 29-May 07:01:01 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 29-May 07:01:01 __init__ 8002 200 POST /activity_log (27.34.250.34) 104.98ms cal_activity_log INFO 29-May 07:01:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 4.88ms cal_jobs_db 2019-05-29 07:01:01.971835: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. Error while reading resource variable module/aggregation/weights from Container: localhost. This could mean that the variable was uninitialized. Not found: Container localhost does not exist. (Could not find resource: localhost/module/aggregation/weights) [[{{node lambda_1/module_apply_tokens/aggregation/ReadVariableOp}} = ReadVariableOp[dtype=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](module/aggregation/weights)]] [[{{node lambda_1/module_apply_tokens/aggregation/ReadVariableOp_1/_267}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_1392_lambda_1/module_apply_tokens/aggregation/ReadVariableOp_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]] Epoch 1/10 Attempting to use uninitialized value training/Adam/Variable_11 [[{{node training/Adam/Variable_11/read}} = Identity[T=DT_FLOAT, _class=["loc:@training/Adam/Assign_10"], _device="/job:localhost/replica:0/task:0/device:GPU:0"](training/Adam/Variable_11)]] INFO 29-May 07:01:07 __init__ 8002 200 POST /jobs_db 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INFO 29-May 07:18:16 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 07:18:22 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 07:18:30 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 07:18:37 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 07:18:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 07:18:48 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 07:18:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 07:19:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.29ms cal_jobs_db INFO 29-May 07:19:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 07:19:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 07:19:19 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 07:19:25 __init__ 8002 200 POST 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INFO 29-May 07:20:36 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.10ms cal_jobs_db INFO 29-May 07:20:42 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.25ms cal_jobs_db INFO 29-May 07:20:48 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 07:20:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 07:21:00 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 29-May 07:21:06 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 07:21:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 07:21:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 07:21:43 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 29-May 07:21:43 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 29-May 07:21:43 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 29-May 07:21:43 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 29-May 07:21:43 __init__ PORT Loading service: version DEBUG 29-May 07:21:43 __init__ PORT Loading service: mime DEBUG 29-May 07:21:43 __init__ PORT Loading service: threadpool DEBUG 29-May 07:21:43 __init__ PORT Loading service: cache DEBUG 29-May 07:21:43 __init__ PORT Loading service: handlers DEBUG 29-May 07:21:43 __init__ PORT Loading service: log DEBUG 29-May 07:21:43 __init__ PORT Loading service: eventlog DEBUG 29-May 07:21:43 __init__ PORT Loading service: app DEBUG 29-May 07:21:43 __init__ PORT Loading service: schedule INFO 29-May 07:21:43 __init__ PORT Initialising schedule:gramex_update DEBUG 29-May 07:21:43 scheduler PORT Scheduling gramex_update after 59897s DEBUG 29-May 07:21:43 __init__ PORT Loading service: url DEBUG 29-May 07:21:43 __init__ PORT url: apps/ui/bootstrap4-cZEg2 (FunctionHandler) DEBUG 29-May 07:21:43 __init__ PORT Gramex update ran recently. Deferring check. DEBUG 29-May 07:21:43 __init__ PORT url: apps/ui/static-RaH39 (FileHandler) DEBUG 29-May 07:21:43 __init__ PORT url: cal_upload (UploadHandler) DEBUG 29-May 07:21:43 __init__ PORT url: cal_build_model (FunctionHandler) /data/anaconda/envs/py35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Using TensorFlow backend. 2019-05-29 07:21:44.956292: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-29 07:21:46.051621: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: Tesla M60 major: 5 minor: 2 memoryClockRate(GHz): 1.1775 pciBusID: 3a15:00:00.0 totalMemory: 7.94GiB freeMemory: 7.86GiB 2019-05-29 07:21:46.051688: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 07:21:46.384781: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 07:21:46.384859: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 07:21:46.384872: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 07:21:46.385089: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7581 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 29-May 07:21:47 __init__ PORT url: cal_run_model (FunctionHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_eval_model (FunctionHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_active_learn (FunctionHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_train (FunctionHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_del_pname (FunctionHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_activity_log (FunctionHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_write_file (FormHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_job_result (FunctionHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_jobs_status (FormHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_jobs_db (FunctionHandler) DEBUG 29-May 07:21:47 __init__ PORT url: cal_home (Filehandler) ERROR 29-May 07:21:47 __init__ PORT url: cal_home: ignoring missing handler Filehandler DEBUG 29-May 07:21:47 __init__ PORT url: favicon (FileHandler) -90 DEBUG 29-May 07:21:47 __init__ PORT url: default (FileHandler) -100 DEBUG 29-May 07:21:47 __init__ PORT Running callback: app INFO 29-May 07:21:47 __init__ PORT Listening on port 8002 INFO 29-May 07:21:47 __init__ 8002 opens the browser. starts the debugger. INFO 29-May 07:22:32 __init__ 8002 200 GET /?p_name=MOT&jobid=2&activity=build (27.34.250.34) 3.11ms default INFO 29-May 07:22:33 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 6.40ms apps/ui/bootstrap4-cZEg2 INFO 29-May 07:22:33 __init__ 8002 304 GET /css/common.css (27.34.250.34) 1.00ms default INFO 29-May 07:22:33 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.88ms default INFO 29-May 07:22:33 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.88ms default INFO 29-May 07:22:33 __init__ 8002 200 GET /get_project (27.34.250.34) 9.48ms cal_write_file INFO 29-May 07:22:34 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.09ms cal_activity_log INFO 29-May 07:22:34 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.72ms cal_activity_log INFO 29-May 07:23:10 __init__ 8002 200 POST /eval_model (27.34.250.34) 3.00ms cal_eval_model model.py 151 Unable to open file (unable to open file: name = '/data/home/gramener/active-learning/active-learning/data/mot/model.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0) INFO 29-May 07:23:11 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.98ms cal_activity_log INFO 29-May 07:23:11 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.65ms cal_jobs_db INFO 29-May 07:23:16 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.99ms cal_jobs_db INFO 29-May 07:23:21 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 07:23:27 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 07:23:32 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 07:23:38 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 07:23:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 07:23:49 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.91ms cal_jobs_db INFO 29-May 07:23:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 07:24:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 07:24:06 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 07:24:11 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 07:24:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.09ms cal_jobs_db INFO 29-May 07:24:24 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 07:24:30 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 07:24:37 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 29-May 07:24:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 07:24:48 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 07:24:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 07:25:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 07:25:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 07:25:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 07:25:19 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.93ms cal_jobs_db INFO 29-May 07:25:25 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 07:25:31 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 07:25:38 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 07:25:44 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 07:25:50 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.20ms cal_jobs_db INFO 29-May 07:25:56 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 07:26:46 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 29-May 07:26:46 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 29-May 07:26:46 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 29-May 07:26:46 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 29-May 07:26:46 __init__ PORT Loading service: version DEBUG 29-May 07:26:46 __init__ PORT Loading service: mime DEBUG 29-May 07:26:46 __init__ PORT Loading service: threadpool DEBUG 29-May 07:26:46 __init__ PORT Loading service: cache DEBUG 29-May 07:26:46 __init__ PORT Loading service: handlers DEBUG 29-May 07:26:46 __init__ PORT Loading service: log DEBUG 29-May 07:26:46 __init__ PORT Loading service: eventlog DEBUG 29-May 07:26:46 __init__ PORT Loading service: app DEBUG 29-May 07:26:46 __init__ PORT Loading service: schedule INFO 29-May 07:26:46 __init__ PORT Initialising schedule:gramex_update DEBUG 29-May 07:26:46 scheduler PORT Scheduling gramex_update after 59594s DEBUG 29-May 07:26:46 __init__ PORT Loading service: url DEBUG 29-May 07:26:46 __init__ PORT url: apps/ui/bootstrap4-0rtIN (FunctionHandler) DEBUG 29-May 07:26:46 __init__ PORT Gramex update ran recently. Deferring check. DEBUG 29-May 07:26:46 __init__ PORT url: apps/ui/static-9vbYU (FileHandler) DEBUG 29-May 07:26:46 __init__ PORT url: cal_upload (UploadHandler) DEBUG 29-May 07:26:46 __init__ PORT url: cal_build_model (FunctionHandler) /data/anaconda/envs/py35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Using TensorFlow backend. 2019-05-29 07:26:47.919470: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-29 07:26:48.957722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: Tesla M60 major: 5 minor: 2 memoryClockRate(GHz): 1.1775 pciBusID: 3a15:00:00.0 totalMemory: 7.94GiB freeMemory: 7.86GiB 2019-05-29 07:26:48.957786: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 07:26:49.288870: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 07:26:49.288951: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 07:26:49.288966: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 07:26:49.289182: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 29-May 07:26:50 __init__ PORT url: cal_run_model (FunctionHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_eval_model (FunctionHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_active_learn (FunctionHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_train (FunctionHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_del_pname (FunctionHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_activity_log (FunctionHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_write_file (FormHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_job_result (FunctionHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_jobs_status (FormHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_jobs_db (FunctionHandler) DEBUG 29-May 07:26:50 __init__ PORT url: cal_home (Filehandler) ERROR 29-May 07:26:50 __init__ PORT url: cal_home: ignoring missing handler Filehandler DEBUG 29-May 07:26:50 __init__ PORT url: favicon (FileHandler) -90 DEBUG 29-May 07:26:50 __init__ PORT url: default (FileHandler) -100 DEBUG 29-May 07:26:50 __init__ PORT Running callback: app INFO 29-May 07:26:50 __init__ PORT Listening on port 8002 INFO 29-May 07:26:50 __init__ 8002 opens the browser. starts the debugger. INFO 29-May 07:26:54 __init__ 8002 200 GET /?p_name=MOT&jobid=1&activity=eval (27.34.250.34) 2.85ms default INFO 29-May 07:26:55 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 6.62ms apps/ui/bootstrap4-0rtIN INFO 29-May 07:26:55 __init__ 8002 304 GET /css/common.css (27.34.250.34) 3.17ms default INFO 29-May 07:26:55 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.98ms default INFO 29-May 07:26:55 __init__ 8002 304 GET /js/main.js (27.34.250.34) 1.04ms default INFO 29-May 07:26:55 __init__ 8002 304 GET /get_project (27.34.250.34) 9.51ms cal_write_file INFO 29-May 07:26:56 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.02ms cal_activity_log INFO 29-May 07:26:56 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.71ms cal_activity_log error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 29-May 07:27:07 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 29-May 07:27:07 __init__ 8002 200 POST /activity_log (27.34.250.34) 2.21ms cal_activity_log INFO 29-May 07:27:11 __init__ 8002 200 POST /delete_pname (27.34.250.34) 4.70ms cal_del_pname INFO 29-May 07:27:11 __init__ 8002 304 GET /get_project (27.34.250.34) 5.64ms cal_write_file error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 29-May 07:27:12 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 29-May 07:27:12 __init__ 8002 200 POST /activity_log (27.34.250.34) 2.46ms cal_activity_log error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 29-May 07:27:12 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 29-May 07:27:12 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.86ms cal_activity_log INFO 29-May 07:27:39 __init__ 8002 200 POST /upload (27.34.250.34) 7.10ms cal_upload INFO 29-May 07:27:48 __init__ 8002 200 POST /get_project (27.34.250.34) 5.19ms cal_write_file INFO 29-May 07:27:51 __init__ 8002 200 POST /build_initial_model (27.34.250.34) 2303.22ms cal_build_model error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 29-May 07:27:51 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 29-May 07:27:51 __init__ 8002 200 POST /activity_log (27.34.250.34) 40.44ms cal_activity_log INFO 29-May 07:27:51 __init__ 8002 200 POST /jobs_db (27.34.250.34) 10.71ms cal_jobs_db 2019-05-29 07:27:52.524993: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. Epoch 1/10 2019-05-29 07:27:55.368959: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 07:27:55.369030: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 07:27:55.369045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 07:27:55.369054: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 07:27:55.369164: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 07:27:57 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db 32/15968 [..............................] - ETA: 29:11 - loss: 1.5530 - top_k_categorical_accuracy: 0.1875 64/15968 [..............................] - ETA: 16:14 - loss: 1.4138 - top_k_categorical_accuracy: 0.1562 96/15968 [..............................] - ETA: 11:58 - loss: 1.2498 - top_k_categorical_accuracy: 0.1875 128/15968 [..............................] - ETA: 9:44 - loss: 1.1315 - top_k_categorical_accuracy: 0.2031 160/15968 [..............................] - ETA: 8:24 - loss: 1.0343 - top_k_categorical_accuracy: 0.2125 192/15968 [..............................] - ETA: 7:30 - loss: 0.9481 - top_k_categorical_accuracy: 0.2344 224/15968 [..............................] - ETA: 6:52 - loss: 0.8702 - top_k_categorical_accuracy: 0.2366 256/15968 [..............................] - ETA: 6:23 - loss: 0.8067 - top_k_categorical_accuracy: 0.2617 288/15968 [..............................] - ETA: 6:01 - loss: 0.7529 - top_k_categorical_accuracy: 0.2882 320/15968 [..............................] - ETA: 5:43 - loss: 0.7111 - top_k_categorical_accuracy: 0.2938 352/15968 [..............................] - ETA: 5:28 - loss: 0.6765 - top_k_categorical_accuracy: 0.3068INFO 29-May 07:28:03 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 384/15968 [..............................] - ETA: 5:15 - loss: 0.6512 - top_k_categorical_accuracy: 0.3203 416/15968 [..............................] - ETA: 5:05 - loss: 0.6289 - top_k_categorical_accuracy: 0.3101 448/15968 [..............................] - ETA: 4:56 - loss: 0.6086 - top_k_categorical_accuracy: 0.3147 480/15968 [..............................] - ETA: 4:48 - loss: 0.5906 - top_k_categorical_accuracy: 0.3229 512/15968 [..............................] - ETA: 4:41 - loss: 0.5774 - top_k_categorical_accuracy: 0.3203 544/15968 [>.............................] - ETA: 4:34 - loss: 0.5652 - top_k_categorical_accuracy: 0.3309 576/15968 [>.............................] - ETA: 4:29 - loss: 0.5539 - top_k_categorical_accuracy: 0.3316 608/15968 [>.............................] - ETA: 4:24 - loss: 0.5451 - top_k_categorical_accuracy: 0.3405 640/15968 [>.............................] - ETA: 4:19 - loss: 0.5365 - top_k_categorical_accuracy: 0.3453 672/15968 [>.............................] - ETA: 4:15 - loss: 0.5292 - top_k_categorical_accuracy: 0.3497 704/15968 [>.............................] - ETA: 4:11 - loss: 0.5250 - top_k_categorical_accuracy: 0.3509 736/15968 [>.............................] - ETA: 4:08 - loss: 0.5178 - top_k_categorical_accuracy: 0.3601 768/15968 [>.............................] - ETA: 4:04 - loss: 0.5132 - top_k_categorical_accuracy: 0.3711 800/15968 [>.............................] - ETA: 4:01 - loss: 0.5108 - top_k_categorical_accuracy: 0.3738INFO 29-May 07:28:08 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 832/15968 [>.............................] - ETA: 3:59 - loss: 0.5060 - top_k_categorical_accuracy: 0.3858 864/15968 [>.............................] - ETA: 3:56 - loss: 0.5008 - top_k_categorical_accuracy: 0.3947 896/15968 [>.............................] - ETA: 3:54 - loss: 0.4933 - top_k_categorical_accuracy: 0.4051 928/15968 [>.............................] - ETA: 3:52 - loss: 0.4909 - top_k_categorical_accuracy: 0.4073 960/15968 [>.............................] - ETA: 3:50 - loss: 0.4855 - top_k_categorical_accuracy: 0.4177 992/15968 [>.............................] - ETA: 3:47 - loss: 0.4810 - top_k_categorical_accuracy: 0.4204 1024/15968 [>.............................] - ETA: 3:45 - loss: 0.4752 - top_k_categorical_accuracy: 0.4258 1056/15968 [>.............................] - ETA: 3:44 - loss: 0.4696 - top_k_categorical_accuracy: 0.4318 1088/15968 [=>............................] - ETA: 3:42 - loss: 0.4651 - top_k_categorical_accuracy: 0.4375 1120/15968 [=>............................] - ETA: 3:40 - loss: 0.4611 - top_k_categorical_accuracy: 0.4420 1152/15968 [=>............................] - ETA: 3:39 - loss: 0.4584 - top_k_categorical_accuracy: 0.4410 1184/15968 [=>............................] - ETA: 3:37 - loss: 0.4552 - top_k_categorical_accuracy: 0.4426 1216/15968 [=>............................] - ETA: 3:36 - loss: 0.4523 - top_k_categorical_accuracy: 0.4433 1248/15968 [=>............................] - ETA: 3:34 - loss: 0.4493 - top_k_categorical_accuracy: 0.4471INFO 29-May 07:28:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 1280/15968 [=>............................] - ETA: 3:33 - loss: 0.4457 - top_k_categorical_accuracy: 0.4484 1312/15968 [=>............................] - ETA: 3:31 - loss: 0.4437 - top_k_categorical_accuracy: 0.4482 1344/15968 [=>............................] - ETA: 3:30 - loss: 0.4410 - top_k_categorical_accuracy: 0.4501 1376/15968 [=>............................] - ETA: 3:29 - loss: 0.4389 - top_k_categorical_accuracy: 0.4499 1408/15968 [=>............................] - ETA: 3:27 - loss: 0.4347 - top_k_categorical_accuracy: 0.4545 1440/15968 [=>............................] - ETA: 3:26 - loss: 0.4333 - top_k_categorical_accuracy: 0.4569 1472/15968 [=>............................] - ETA: 3:25 - loss: 0.4296 - top_k_categorical_accuracy: 0.4586 1504/15968 [=>............................] - ETA: 3:24 - loss: 0.4278 - top_k_categorical_accuracy: 0.4548 1536/15968 [=>............................] - ETA: 3:23 - loss: 0.4272 - top_k_categorical_accuracy: 0.4577 1568/15968 [=>............................] - ETA: 3:22 - loss: 0.4269 - top_k_categorical_accuracy: 0.4579 1600/15968 [==>...........................] - ETA: 3:21 - loss: 0.4248 - top_k_categorical_accuracy: 0.4625 1632/15968 [==>...........................] - ETA: 3:20 - loss: 0.4218 - top_k_categorical_accuracy: 0.4657 1664/15968 [==>...........................] - ETA: 3:19 - loss: 0.4212 - top_k_categorical_accuracy: 0.4609INFO 29-May 07:28:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 1696/15968 [==>...........................] - ETA: 3:18 - loss: 0.4194 - top_k_categorical_accuracy: 0.4623 1728/15968 [==>...........................] - ETA: 3:17 - loss: 0.4172 - top_k_categorical_accuracy: 0.4635 1760/15968 [==>...........................] - ETA: 3:16 - loss: 0.4146 - top_k_categorical_accuracy: 0.4636 1792/15968 [==>...........................] - ETA: 3:15 - loss: 0.4122 - top_k_categorical_accuracy: 0.4648 1824/15968 [==>...........................] - ETA: 3:14 - loss: 0.4111 - top_k_categorical_accuracy: 0.4633 1856/15968 [==>...........................] - ETA: 3:13 - loss: 0.4097 - top_k_categorical_accuracy: 0.4639 1888/15968 [==>...........................] - ETA: 3:12 - loss: 0.4086 - top_k_categorical_accuracy: 0.4650 1920/15968 [==>...........................] - ETA: 3:12 - loss: 0.4062 - top_k_categorical_accuracy: 0.4667 1952/15968 [==>...........................] - ETA: 3:11 - loss: 0.4044 - top_k_categorical_accuracy: 0.4682 1984/15968 [==>...........................] - ETA: 3:10 - loss: 0.4025 - top_k_categorical_accuracy: 0.4672 2016/15968 [==>...........................] - ETA: 3:09 - loss: 0.4005 - top_k_categorical_accuracy: 0.4678 2048/15968 [==>...........................] - ETA: 3:08 - loss: 0.3982 - top_k_categorical_accuracy: 0.4697 2080/15968 [==>...........................] - ETA: 3:07 - loss: 0.3970 - top_k_categorical_accuracy: 0.4702 2112/15968 [==>...........................] - ETA: 3:07 - loss: 0.3942 - top_k_categorical_accuracy: 0.4744INFO 29-May 07:28:24 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db 2144/15968 [===>..........................] - ETA: 3:06 - loss: 0.3928 - top_k_categorical_accuracy: 0.4767 2176/15968 [===>..........................] - ETA: 3:05 - loss: 0.3912 - top_k_categorical_accuracy: 0.4761 2208/15968 [===>..........................] - ETA: 3:04 - loss: 0.3893 - top_k_categorical_accuracy: 0.4769 2240/15968 [===>..........................] - ETA: 3:04 - loss: 0.3883 - top_k_categorical_accuracy: 0.4772 2272/15968 [===>..........................] - ETA: 3:03 - loss: 0.3869 - top_k_categorical_accuracy: 0.4789 2304/15968 [===>..........................] - ETA: 3:02 - loss: 0.3855 - top_k_categorical_accuracy: 0.4805 2336/15968 [===>..........................] - ETA: 3:02 - loss: 0.3839 - top_k_categorical_accuracy: 0.4824 2368/15968 [===>..........................] - ETA: 3:01 - loss: 0.3837 - top_k_categorical_accuracy: 0.4848 2400/15968 [===>..........................] - ETA: 3:00 - loss: 0.3825 - top_k_categorical_accuracy: 0.4850 2432/15968 [===>..........................] - ETA: 3:00 - loss: 0.3812 - top_k_categorical_accuracy: 0.4852 2464/15968 [===>..........................] - ETA: 2:59 - loss: 0.3800 - top_k_categorical_accuracy: 0.4858 2496/15968 [===>..........................] - ETA: 2:58 - loss: 0.3778 - top_k_categorical_accuracy: 0.4880 2528/15968 [===>..........................] - ETA: 2:58 - loss: 0.3761 - top_k_categorical_accuracy: 0.4897 2560/15968 [===>..........................] - ETA: 2:57 - loss: 0.3750 - top_k_categorical_accuracy: 0.4891INFO 29-May 07:28:29 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 2592/15968 [===>..........................] - ETA: 2:56 - loss: 0.3746 - top_k_categorical_accuracy: 0.4900 2624/15968 [===>..........................] - ETA: 2:56 - loss: 0.3735 - top_k_categorical_accuracy: 0.4905 2656/15968 [===>..........................] - ETA: 2:55 - loss: 0.3722 - top_k_categorical_accuracy: 0.4913 2688/15968 [====>.........................] - ETA: 2:55 - loss: 0.3706 - top_k_categorical_accuracy: 0.4918 2720/15968 [====>.........................] - ETA: 2:54 - loss: 0.3692 - top_k_categorical_accuracy: 0.4941 2752/15968 [====>.........................] - ETA: 2:53 - loss: 0.3679 - top_k_categorical_accuracy: 0.4964 2784/15968 [====>.........................] - ETA: 2:53 - loss: 0.3665 - top_k_categorical_accuracy: 0.4993 2816/15968 [====>.........................] - ETA: 2:52 - loss: 0.3657 - top_k_categorical_accuracy: 0.5011 2848/15968 [====>.........................] - ETA: 2:51 - loss: 0.3661 - top_k_categorical_accuracy: 0.5004 2880/15968 [====>.........................] - ETA: 2:51 - loss: 0.3650 - top_k_categorical_accuracy: 0.5000 2912/15968 [====>.........................] - ETA: 2:50 - loss: 0.3635 - top_k_categorical_accuracy: 0.4993 2944/15968 [====>.........................] - ETA: 2:50 - loss: 0.3618 - top_k_categorical_accuracy: 0.5007 2976/15968 [====>.........................] - ETA: 2:49 - loss: 0.3613 - top_k_categorical_accuracy: 0.5010 3008/15968 [====>.........................] - ETA: 2:49 - loss: 0.3604 - top_k_categorical_accuracy: 0.5013 3040/15968 [====>.........................] - ETA: 2:48 - loss: 0.3595 - top_k_categorical_accuracy: 0.5020 3072/15968 [====>.........................] - ETA: 2:47 - loss: 0.3585 - top_k_categorical_accuracy: 0.5033INFO 29-May 07:28:35 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 3104/15968 [====>.........................] - ETA: 2:47 - loss: 0.3573 - top_k_categorical_accuracy: 0.5048 3136/15968 [====>.........................] - ETA: 2:46 - loss: 0.3557 - top_k_categorical_accuracy: 0.5054 3168/15968 [====>.........................] - ETA: 2:46 - loss: 0.3542 - top_k_categorical_accuracy: 0.5073 3200/15968 [=====>........................] - ETA: 2:45 - loss: 0.3528 - top_k_categorical_accuracy: 0.5081 3232/15968 [=====>........................] - ETA: 2:45 - loss: 0.3519 - top_k_categorical_accuracy: 0.5080 3264/15968 [=====>........................] - ETA: 2:44 - loss: 0.3509 - top_k_categorical_accuracy: 0.5089 3296/15968 [=====>........................] - ETA: 2:44 - loss: 0.3500 - top_k_categorical_accuracy: 0.5091 3328/15968 [=====>........................] - ETA: 2:43 - loss: 0.3490 - top_k_categorical_accuracy: 0.5111 3360/15968 [=====>........................] - ETA: 2:43 - loss: 0.3482 - top_k_categorical_accuracy: 0.5119 3392/15968 [=====>........................] - ETA: 2:42 - loss: 0.3477 - top_k_categorical_accuracy: 0.5121 3424/15968 [=====>........................] - ETA: 2:41 - loss: 0.3466 - top_k_categorical_accuracy: 0.5140 3456/15968 [=====>........................] - ETA: 2:41 - loss: 0.3455 - top_k_categorical_accuracy: 0.5142 3488/15968 [=====>........................] - ETA: 2:40 - loss: 0.3448 - top_k_categorical_accuracy: 0.5146 3520/15968 [=====>........................] - ETA: 2:40 - loss: 0.3439 - top_k_categorical_accuracy: 0.5145INFO 29-May 07:28:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 3552/15968 [=====>........................] - ETA: 2:39 - loss: 0.3424 - top_k_categorical_accuracy: 0.5158 3584/15968 [=====>........................] - ETA: 2:39 - loss: 0.3413 - top_k_categorical_accuracy: 0.5181 3616/15968 [=====>........................] - ETA: 2:38 - loss: 0.3407 - top_k_categorical_accuracy: 0.5185 3648/15968 [=====>........................] - ETA: 2:38 - loss: 0.3398 - top_k_categorical_accuracy: 0.5184 3680/15968 [=====>........................] - ETA: 2:37 - loss: 0.3389 - top_k_categorical_accuracy: 0.5193 3712/15968 [=====>........................] - ETA: 2:37 - loss: 0.3381 - top_k_categorical_accuracy: 0.5205 3744/15968 [======>.......................] - ETA: 2:36 - loss: 0.3378 - top_k_categorical_accuracy: 0.5208 3776/15968 [======>.......................] - ETA: 2:36 - loss: 0.3370 - top_k_categorical_accuracy: 0.5204 3808/15968 [======>.......................] - ETA: 2:35 - loss: 0.3363 - top_k_categorical_accuracy: 0.5205 3840/15968 [======>.......................] - ETA: 2:35 - loss: 0.3356 - top_k_categorical_accuracy: 0.5208 3872/15968 [======>.......................] - ETA: 2:34 - loss: 0.3348 - top_k_categorical_accuracy: 0.5217 3904/15968 [======>.......................] - ETA: 2:34 - loss: 0.3343 - top_k_categorical_accuracy: 0.5213 3936/15968 [======>.......................] - ETA: 2:33 - loss: 0.3335 - top_k_categorical_accuracy: 0.5221 3968/15968 [======>.......................] - ETA: 2:33 - loss: 0.3327 - top_k_categorical_accuracy: 0.5229INFO 29-May 07:28:46 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 4000/15968 [======>.......................] - ETA: 2:32 - loss: 0.3317 - top_k_categorical_accuracy: 0.5238 4032/15968 [======>.......................] - ETA: 2:32 - loss: 0.3305 - top_k_categorical_accuracy: 0.5250 4064/15968 [======>.......................] - ETA: 2:31 - loss: 0.3297 - top_k_categorical_accuracy: 0.5263 4096/15968 [======>.......................] - ETA: 2:31 - loss: 0.3286 - top_k_categorical_accuracy: 0.5276 4128/15968 [======>.......................] - ETA: 2:30 - loss: 0.3285 - top_k_categorical_accuracy: 0.5286 4160/15968 [======>.......................] - ETA: 2:30 - loss: 0.3279 - top_k_categorical_accuracy: 0.5281 4192/15968 [======>.......................] - ETA: 2:29 - loss: 0.3273 - top_k_categorical_accuracy: 0.5289 4224/15968 [======>.......................] - ETA: 2:29 - loss: 0.3265 - top_k_categorical_accuracy: 0.5296 4256/15968 [======>.......................] - ETA: 2:28 - loss: 0.3256 - top_k_categorical_accuracy: 0.5305 4288/15968 [=======>......................] - ETA: 2:28 - loss: 0.3252 - top_k_categorical_accuracy: 0.5310 4320/15968 [=======>......................] - ETA: 2:27 - loss: 0.3244 - top_k_categorical_accuracy: 0.5317 4352/15968 [=======>......................] - ETA: 2:27 - loss: 0.3239 - top_k_categorical_accuracy: 0.5324 4384/15968 [=======>......................] - ETA: 2:26 - loss: 0.3234 - top_k_categorical_accuracy: 0.5319 4416/15968 [=======>......................] - ETA: 2:26 - loss: 0.3226 - top_k_categorical_accuracy: 0.5322 4448/15968 [=======>......................] - ETA: 2:26 - loss: 0.3220 - top_k_categorical_accuracy: 0.5326INFO 29-May 07:28:51 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 4480/15968 [=======>......................] - ETA: 2:25 - loss: 0.3216 - top_k_categorical_accuracy: 0.5335 4512/15968 [=======>......................] - ETA: 2:25 - loss: 0.3210 - top_k_categorical_accuracy: 0.5332 4544/15968 [=======>......................] - ETA: 2:24 - loss: 0.3200 - top_k_categorical_accuracy: 0.5341 4576/15968 [=======>......................] - ETA: 2:24 - loss: 0.3191 - top_k_categorical_accuracy: 0.5354 4608/15968 [=======>......................] - ETA: 2:23 - loss: 0.3182 - top_k_categorical_accuracy: 0.5365 4640/15968 [=======>......................] - ETA: 2:23 - loss: 0.3174 - top_k_categorical_accuracy: 0.5369 4672/15968 [=======>......................] - ETA: 2:22 - loss: 0.3169 - top_k_categorical_accuracy: 0.5381 4704/15968 [=======>......................] - ETA: 2:22 - loss: 0.3161 - top_k_categorical_accuracy: 0.5393 4736/15968 [=======>......................] - ETA: 2:21 - loss: 0.3152 - top_k_categorical_accuracy: 0.5401 4768/15968 [=======>......................] - ETA: 2:21 - loss: 0.3147 - top_k_categorical_accuracy: 0.5398 4800/15968 [========>.....................] - ETA: 2:20 - loss: 0.3142 - top_k_categorical_accuracy: 0.5404 4832/15968 [========>.....................] - ETA: 2:20 - loss: 0.3135 - top_k_categorical_accuracy: 0.5418 4864/15968 [========>.....................] - ETA: 2:20 - loss: 0.3126 - top_k_categorical_accuracy: 0.5426INFO 29-May 07:28:57 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 4896/15968 [========>.....................] - ETA: 2:19 - loss: 0.3122 - top_k_categorical_accuracy: 0.5433 4928/15968 [========>.....................] - ETA: 2:19 - loss: 0.3118 - top_k_categorical_accuracy: 0.5438 4960/15968 [========>.....................] - ETA: 2:18 - loss: 0.3109 - top_k_categorical_accuracy: 0.5448 4992/15968 [========>.....................] - ETA: 2:18 - loss: 0.3104 - top_k_categorical_accuracy: 0.5457 5024/15968 [========>.....................] - ETA: 2:17 - loss: 0.3098 - top_k_categorical_accuracy: 0.5466 5056/15968 [========>.....................] - ETA: 2:17 - loss: 0.3090 - top_k_categorical_accuracy: 0.5471 5088/15968 [========>.....................] - ETA: 2:16 - loss: 0.3090 - top_k_categorical_accuracy: 0.5474 5120/15968 [========>.....................] - ETA: 2:16 - loss: 0.3083 - top_k_categorical_accuracy: 0.5475 5152/15968 [========>.....................] - ETA: 2:16 - loss: 0.3079 - top_k_categorical_accuracy: 0.5474 5184/15968 [========>.....................] - ETA: 2:15 - loss: 0.3076 - top_k_categorical_accuracy: 0.5486 5216/15968 [========>.....................] - ETA: 2:15 - loss: 0.3069 - top_k_categorical_accuracy: 0.5491 5248/15968 [========>.....................] - ETA: 2:14 - loss: 0.3066 - top_k_categorical_accuracy: 0.5494 5280/15968 [========>.....................] - ETA: 2:14 - loss: 0.3064 - top_k_categorical_accuracy: 0.5487 5312/15968 [========>.....................] - ETA: 2:13 - loss: 0.3059 - top_k_categorical_accuracy: 0.5478INFO 29-May 07:29:02 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.11ms cal_jobs_db 5344/15968 [=========>....................] - ETA: 2:13 - loss: 0.3049 - top_k_categorical_accuracy: 0.5496 5376/15968 [=========>....................] - ETA: 2:12 - loss: 0.3042 - top_k_categorical_accuracy: 0.5506 5408/15968 [=========>....................] - ETA: 2:12 - loss: 0.3040 - top_k_categorical_accuracy: 0.5510 5440/15968 [=========>....................] - ETA: 2:12 - loss: 0.3033 - top_k_categorical_accuracy: 0.5513 5472/15968 [=========>....................] - ETA: 2:11 - loss: 0.3030 - top_k_categorical_accuracy: 0.5515 5504/15968 [=========>....................] - ETA: 2:11 - loss: 0.3023 - top_k_categorical_accuracy: 0.5518 5536/15968 [=========>....................] - ETA: 2:10 - loss: 0.3021 - top_k_categorical_accuracy: 0.5515 5568/15968 [=========>....................] - ETA: 2:10 - loss: 0.3017 - top_k_categorical_accuracy: 0.5512 5600/15968 [=========>....................] - ETA: 2:09 - loss: 0.3014 - top_k_categorical_accuracy: 0.5513 5632/15968 [=========>....................] - ETA: 2:09 - loss: 0.3008 - top_k_categorical_accuracy: 0.5510 5664/15968 [=========>....................] - ETA: 2:08 - loss: 0.3005 - top_k_categorical_accuracy: 0.5508 5696/15968 [=========>....................] - ETA: 2:08 - loss: 0.2999 - top_k_categorical_accuracy: 0.5513 5728/15968 [=========>....................] - ETA: 2:08 - loss: 0.2996 - top_k_categorical_accuracy: 0.5512 5760/15968 [=========>....................] - ETA: 2:07 - loss: 0.2992 - top_k_categorical_accuracy: 0.5516INFO 29-May 07:29:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db 5792/15968 [=========>....................] - ETA: 2:07 - loss: 0.2988 - top_k_categorical_accuracy: 0.5521 5824/15968 [=========>....................] - ETA: 2:06 - loss: 0.2981 - top_k_categorical_accuracy: 0.5527 5856/15968 [==========>...................] - ETA: 2:06 - loss: 0.2975 - top_k_categorical_accuracy: 0.5541 5888/15968 [==========>...................] - ETA: 2:05 - loss: 0.2968 - top_k_categorical_accuracy: 0.5559 5920/15968 [==========>...................] - ETA: 2:05 - loss: 0.2963 - top_k_categorical_accuracy: 0.5557 5952/15968 [==========>...................] - ETA: 2:05 - loss: 0.2957 - top_k_categorical_accuracy: 0.5568 5984/15968 [==========>...................] - ETA: 2:04 - loss: 0.2950 - top_k_categorical_accuracy: 0.5575 6016/15968 [==========>...................] - ETA: 2:04 - loss: 0.2945 - top_k_categorical_accuracy: 0.5578 6048/15968 [==========>...................] - ETA: 2:03 - loss: 0.2945 - top_k_categorical_accuracy: 0.5582 6080/15968 [==========>...................] - ETA: 2:03 - loss: 0.2942 - top_k_categorical_accuracy: 0.5581 6112/15968 [==========>...................] - ETA: 2:02 - loss: 0.2934 - top_k_categorical_accuracy: 0.5594 6144/15968 [==========>...................] - ETA: 2:02 - loss: 0.2930 - top_k_categorical_accuracy: 0.5602 6176/15968 [==========>...................] - ETA: 2:02 - loss: 0.2924 - top_k_categorical_accuracy: 0.5614 6208/15968 [==========>...................] - ETA: 2:01 - loss: 0.2918 - top_k_categorical_accuracy: 0.5622 6240/15968 [==========>...................] - ETA: 2:01 - loss: 0.2914 - top_k_categorical_accuracy: 0.5625 6272/15968 [==========>...................] - ETA: 2:00 - loss: 0.2908 - top_k_categorical_accuracy: 0.5633 6304/15968 [==========>...................] - ETA: 2:00 - loss: 0.2901 - top_k_categorical_accuracy: 0.5642 6336/15968 [==========>...................] - ETA: 1:59 - loss: 0.2897 - top_k_categorical_accuracy: 0.5647 6368/15968 [==========>...................] - ETA: 1:59 - loss: 0.2894 - top_k_categorical_accuracy: 0.5647INFO 29-May 07:29:15 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 6400/15968 [===========>..................] - ETA: 1:59 - loss: 0.2890 - top_k_categorical_accuracy: 0.5648 6432/15968 [===========>..................] - ETA: 1:58 - loss: 0.2887 - top_k_categorical_accuracy: 0.5655 6464/15968 [===========>..................] - ETA: 1:58 - loss: 0.2882 - top_k_categorical_accuracy: 0.5657 6496/15968 [===========>..................] - ETA: 1:57 - loss: 0.2877 - top_k_categorical_accuracy: 0.5667 6528/15968 [===========>..................] - ETA: 1:57 - loss: 0.2875 - top_k_categorical_accuracy: 0.5668 6560/15968 [===========>..................] - ETA: 1:56 - loss: 0.2870 - top_k_categorical_accuracy: 0.5669 6592/15968 [===========>..................] - ETA: 1:56 - loss: 0.2867 - top_k_categorical_accuracy: 0.5675 6624/15968 [===========>..................] - ETA: 1:56 - loss: 0.2863 - top_k_categorical_accuracy: 0.5681 6656/15968 [===========>..................] - ETA: 1:55 - loss: 0.2858 - top_k_categorical_accuracy: 0.5690 6688/15968 [===========>..................] - ETA: 1:55 - loss: 0.2852 - top_k_categorical_accuracy: 0.5706 6720/15968 [===========>..................] - ETA: 1:54 - loss: 0.2848 - top_k_categorical_accuracy: 0.5716 6752/15968 [===========>..................] - ETA: 1:54 - loss: 0.2844 - top_k_categorical_accuracy: 0.5723 6784/15968 [===========>..................] - ETA: 1:54 - loss: 0.2843 - top_k_categorical_accuracy: 0.5725 6816/15968 [===========>..................] - ETA: 1:53 - loss: 0.2838 - top_k_categorical_accuracy: 0.5731 6848/15968 [===========>..................] - ETA: 1:53 - loss: 0.2837 - top_k_categorical_accuracy: 0.5735 6880/15968 [===========>..................] - ETA: 1:52 - loss: 0.2832 - top_k_categorical_accuracy: 0.5743INFO 29-May 07:29:21 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 6912/15968 [===========>..................] - ETA: 1:52 - loss: 0.2829 - top_k_categorical_accuracy: 0.5744 6944/15968 [============>.................] - ETA: 1:51 - loss: 0.2825 - top_k_categorical_accuracy: 0.5747 6976/15968 [============>.................] - ETA: 1:51 - loss: 0.2820 - top_k_categorical_accuracy: 0.5755 7008/15968 [============>.................] - ETA: 1:51 - loss: 0.2816 - top_k_categorical_accuracy: 0.5761 7040/15968 [============>.................] - ETA: 1:50 - loss: 0.2812 - top_k_categorical_accuracy: 0.5766 7072/15968 [============>.................] - ETA: 1:50 - loss: 0.2808 - top_k_categorical_accuracy: 0.5771 7104/15968 [============>.................] - ETA: 1:49 - loss: 0.2805 - top_k_categorical_accuracy: 0.5771 7136/15968 [============>.................] - ETA: 1:49 - loss: 0.2801 - top_k_categorical_accuracy: 0.5775 7168/15968 [============>.................] - ETA: 1:49 - loss: 0.2796 - top_k_categorical_accuracy: 0.5784 7200/15968 [============>.................] - ETA: 1:48 - loss: 0.2795 - top_k_categorical_accuracy: 0.5790 7232/15968 [============>.................] - ETA: 1:48 - loss: 0.2789 - top_k_categorical_accuracy: 0.5795 7264/15968 [============>.................] - ETA: 1:47 - loss: 0.2784 - top_k_categorical_accuracy: 0.5804 7296/15968 [============>.................] - ETA: 1:47 - loss: 0.2781 - top_k_categorical_accuracy: 0.5807 7328/15968 [============>.................] - ETA: 1:46 - loss: 0.2777 - top_k_categorical_accuracy: 0.5812 7360/15968 [============>.................] - ETA: 1:46 - loss: 0.2772 - top_k_categorical_accuracy: 0.5817 7392/15968 [============>.................] - ETA: 1:46 - loss: 0.2769 - top_k_categorical_accuracy: 0.5823INFO 29-May 07:29:27 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 7424/15968 [============>.................] - ETA: 1:45 - loss: 0.2766 - top_k_categorical_accuracy: 0.5826 7456/15968 [=============>................] - ETA: 1:45 - loss: 0.2762 - top_k_categorical_accuracy: 0.5826 7488/15968 [=============>................] - ETA: 1:44 - loss: 0.2758 - top_k_categorical_accuracy: 0.5832 7520/15968 [=============>................] - ETA: 1:44 - loss: 0.2755 - top_k_categorical_accuracy: 0.5840 7552/15968 [=============>................] - ETA: 1:44 - loss: 0.2750 - top_k_categorical_accuracy: 0.5845 7584/15968 [=============>................] - ETA: 1:43 - loss: 0.2747 - top_k_categorical_accuracy: 0.5848 7616/15968 [=============>................] - ETA: 1:43 - loss: 0.2745 - top_k_categorical_accuracy: 0.5847 7648/15968 [=============>................] - ETA: 1:42 - loss: 0.2740 - top_k_categorical_accuracy: 0.5856 7680/15968 [=============>................] - ETA: 1:42 - loss: 0.2737 - top_k_categorical_accuracy: 0.5861 7712/15968 [=============>................] - ETA: 1:42 - loss: 0.2734 - top_k_categorical_accuracy: 0.5862 7744/15968 [=============>................] - ETA: 1:41 - loss: 0.2731 - top_k_categorical_accuracy: 0.5865 7776/15968 [=============>................] - ETA: 1:41 - loss: 0.2728 - top_k_categorical_accuracy: 0.5871 7808/15968 [=============>................] - ETA: 1:40 - loss: 0.2726 - top_k_categorical_accuracy: 0.5866 7840/15968 [=============>................] - ETA: 1:40 - loss: 0.2723 - top_k_categorical_accuracy: 0.5866 7872/15968 [=============>................] - ETA: 1:40 - loss: 0.2719 - top_k_categorical_accuracy: 0.5868INFO 29-May 07:29:33 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.90ms cal_jobs_db 7904/15968 [=============>................] - ETA: 1:39 - loss: 0.2717 - top_k_categorical_accuracy: 0.5873 7936/15968 [=============>................] - ETA: 1:39 - loss: 0.2714 - top_k_categorical_accuracy: 0.5882 7968/15968 [=============>................] - ETA: 1:38 - loss: 0.2711 - top_k_categorical_accuracy: 0.5889 8000/15968 [==============>...............] - ETA: 1:38 - loss: 0.2708 - top_k_categorical_accuracy: 0.5891 8032/15968 [==============>...............] - ETA: 1:38 - loss: 0.2704 - top_k_categorical_accuracy: 0.5890 8064/15968 [==============>...............] - ETA: 1:37 - loss: 0.2701 - top_k_categorical_accuracy: 0.5895 8096/15968 [==============>...............] - ETA: 1:37 - loss: 0.2697 - top_k_categorical_accuracy: 0.5896 8128/15968 [==============>...............] - ETA: 1:36 - loss: 0.2694 - top_k_categorical_accuracy: 0.5901 8160/15968 [==============>...............] - ETA: 1:36 - loss: 0.2689 - top_k_categorical_accuracy: 0.5907 8192/15968 [==============>...............] - ETA: 1:35 - loss: 0.2686 - top_k_categorical_accuracy: 0.5912 8224/15968 [==============>...............] - ETA: 1:35 - loss: 0.2685 - top_k_categorical_accuracy: 0.5918 8256/15968 [==============>...............] - ETA: 1:35 - loss: 0.2681 - top_k_categorical_accuracy: 0.5918 8288/15968 [==============>...............] - ETA: 1:34 - loss: 0.2676 - top_k_categorical_accuracy: 0.5929 8320/15968 [==============>...............] - ETA: 1:34 - loss: 0.2672 - top_k_categorical_accuracy: 0.5938 8352/15968 [==============>...............] - ETA: 1:33 - loss: 0.2671 - top_k_categorical_accuracy: 0.5941 8384/15968 [==============>...............] - ETA: 1:33 - loss: 0.2668 - top_k_categorical_accuracy: 0.5941INFO 29-May 07:29:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 8416/15968 [==============>...............] - ETA: 1:33 - loss: 0.2666 - top_k_categorical_accuracy: 0.5943 8448/15968 [==============>...............] - ETA: 1:32 - loss: 0.2664 - top_k_categorical_accuracy: 0.5946 8480/15968 [==============>...............] - ETA: 1:32 - loss: 0.2660 - top_k_categorical_accuracy: 0.5954 8512/15968 [==============>...............] - ETA: 1:31 - loss: 0.2656 - top_k_categorical_accuracy: 0.5957 8544/15968 [===============>..............] - ETA: 1:31 - loss: 0.2653 - top_k_categorical_accuracy: 0.5960 8576/15968 [===============>..............] - ETA: 1:31 - loss: 0.2649 - top_k_categorical_accuracy: 0.5964 8608/15968 [===============>..............] - ETA: 1:30 - loss: 0.2645 - top_k_categorical_accuracy: 0.5969 8640/15968 [===============>..............] - ETA: 1:30 - loss: 0.2643 - top_k_categorical_accuracy: 0.5973 8672/15968 [===============>..............] - ETA: 1:29 - loss: 0.2639 - top_k_categorical_accuracy: 0.5977 8704/15968 [===============>..............] - ETA: 1:29 - loss: 0.2637 - top_k_categorical_accuracy: 0.5979 8736/15968 [===============>..............] - ETA: 1:29 - loss: 0.2633 - top_k_categorical_accuracy: 0.5981 8768/15968 [===============>..............] - ETA: 1:28 - loss: 0.2629 - top_k_categorical_accuracy: 0.5987 8800/15968 [===============>..............] - ETA: 1:28 - loss: 0.2627 - top_k_categorical_accuracy: 0.5988 8832/15968 [===============>..............] - ETA: 1:27 - loss: 0.2623 - top_k_categorical_accuracy: 0.5991 8864/15968 [===============>..............] - ETA: 1:27 - loss: 0.2619 - top_k_categorical_accuracy: 0.5993 8896/15968 [===============>..............] - ETA: 1:27 - loss: 0.2617 - top_k_categorical_accuracy: 0.5990INFO 29-May 07:29:45 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 8928/15968 [===============>..............] - ETA: 1:26 - loss: 0.2616 - top_k_categorical_accuracy: 0.5988 8960/15968 [===============>..............] - ETA: 1:26 - loss: 0.2613 - top_k_categorical_accuracy: 0.5992 8992/15968 [===============>..............] - ETA: 1:25 - loss: 0.2609 - top_k_categorical_accuracy: 0.6001 9024/15968 [===============>..............] - ETA: 1:25 - loss: 0.2605 - top_k_categorical_accuracy: 0.6011 9056/15968 [================>.............] - ETA: 1:25 - loss: 0.2604 - top_k_categorical_accuracy: 0.6008 9088/15968 [================>.............] - ETA: 1:24 - loss: 0.2599 - top_k_categorical_accuracy: 0.6016 9120/15968 [================>.............] - ETA: 1:24 - loss: 0.2597 - top_k_categorical_accuracy: 0.6016 9152/15968 [================>.............] - ETA: 1:23 - loss: 0.2594 - top_k_categorical_accuracy: 0.6021 9184/15968 [================>.............] - ETA: 1:23 - loss: 0.2591 - top_k_categorical_accuracy: 0.6017 9216/15968 [================>.............] - ETA: 1:23 - loss: 0.2587 - top_k_categorical_accuracy: 0.6020 9248/15968 [================>.............] - ETA: 1:22 - loss: 0.2584 - top_k_categorical_accuracy: 0.6024 9280/15968 [================>.............] - ETA: 1:22 - loss: 0.2581 - top_k_categorical_accuracy: 0.6033 9312/15968 [================>.............] - ETA: 1:21 - loss: 0.2578 - top_k_categorical_accuracy: 0.6037 9344/15968 [================>.............] - ETA: 1:21 - loss: 0.2573 - top_k_categorical_accuracy: 0.6045 9376/15968 [================>.............] - ETA: 1:21 - loss: 0.2570 - top_k_categorical_accuracy: 0.6049INFO 29-May 07:29:51 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.90ms cal_jobs_db 9408/15968 [================>.............] - ETA: 1:20 - loss: 0.2566 - top_k_categorical_accuracy: 0.6058 9440/15968 [================>.............] - ETA: 1:20 - loss: 0.2562 - top_k_categorical_accuracy: 0.6065 9472/15968 [================>.............] - ETA: 1:19 - loss: 0.2559 - top_k_categorical_accuracy: 0.6068 9504/15968 [================>.............] - ETA: 1:19 - loss: 0.2556 - top_k_categorical_accuracy: 0.6076 9536/15968 [================>.............] - ETA: 1:19 - loss: 0.2553 - top_k_categorical_accuracy: 0.6082 9568/15968 [================>.............] - ETA: 1:18 - loss: 0.2550 - top_k_categorical_accuracy: 0.6085 9600/15968 [=================>............] - ETA: 1:18 - loss: 0.2547 - top_k_categorical_accuracy: 0.6086 9632/15968 [=================>............] - ETA: 1:17 - loss: 0.2544 - top_k_categorical_accuracy: 0.6088 9664/15968 [=================>............] - ETA: 1:17 - loss: 0.2543 - top_k_categorical_accuracy: 0.6087 9696/15968 [=================>............] - ETA: 1:17 - loss: 0.2541 - top_k_categorical_accuracy: 0.6090 9728/15968 [=================>............] - ETA: 1:16 - loss: 0.2540 - top_k_categorical_accuracy: 0.6092 9760/15968 [=================>............] - ETA: 1:16 - loss: 0.2538 - top_k_categorical_accuracy: 0.6091 9792/15968 [=================>............] - ETA: 1:15 - loss: 0.2538 - top_k_categorical_accuracy: 0.6089 9824/15968 [=================>............] - ETA: 1:15 - loss: 0.2537 - top_k_categorical_accuracy: 0.6088 9856/15968 [=================>............] - ETA: 1:15 - loss: 0.2533 - top_k_categorical_accuracy: 0.6092 9888/15968 [=================>............] - ETA: 1:14 - loss: 0.2530 - top_k_categorical_accuracy: 0.6095INFO 29-May 07:29:57 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db 9920/15968 [=================>............] - ETA: 1:14 - loss: 0.2529 - top_k_categorical_accuracy: 0.6097 9952/15968 [=================>............] - ETA: 1:13 - loss: 0.2527 - top_k_categorical_accuracy: 0.6097 9984/15968 [=================>............] - ETA: 1:13 - loss: 0.2525 - top_k_categorical_accuracy: 0.6103 10016/15968 [=================>............] - ETA: 1:13 - loss: 0.2523 - top_k_categorical_accuracy: 0.6104 10048/15968 [=================>............] - ETA: 1:12 - loss: 0.2521 - top_k_categorical_accuracy: 0.6105 10080/15968 [=================>............] - ETA: 1:12 - loss: 0.2520 - top_k_categorical_accuracy: 0.6106 10112/15968 [=================>............] - ETA: 1:11 - loss: 0.2519 - top_k_categorical_accuracy: 0.6110 10144/15968 [==================>...........] - ETA: 1:11 - loss: 0.2516 - top_k_categorical_accuracy: 0.6112 10176/15968 [==================>...........] - ETA: 1:11 - loss: 0.2515 - top_k_categorical_accuracy: 0.6111 10208/15968 [==================>...........] - ETA: 1:10 - loss: 0.2512 - top_k_categorical_accuracy: 0.6115 10240/15968 [==================>...........] - ETA: 1:10 - loss: 0.2509 - top_k_categorical_accuracy: 0.6117 10272/15968 [==================>...........] - ETA: 1:09 - loss: 0.2507 - top_k_categorical_accuracy: 0.6119 10304/15968 [==================>...........] - ETA: 1:09 - loss: 0.2505 - top_k_categorical_accuracy: 0.6118 10336/15968 [==================>...........] - ETA: 1:09 - loss: 0.2503 - top_k_categorical_accuracy: 0.6119 10368/15968 [==================>...........] - ETA: 1:08 - loss: 0.2502 - top_k_categorical_accuracy: 0.6121 10400/15968 [==================>...........] - ETA: 1:08 - loss: 0.2499 - top_k_categorical_accuracy: 0.6128INFO 29-May 07:30:03 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 10432/15968 [==================>...........] - ETA: 1:07 - loss: 0.2496 - top_k_categorical_accuracy: 0.6134 10464/15968 [==================>...........] - ETA: 1:07 - loss: 0.2495 - top_k_categorical_accuracy: 0.6134 10496/15968 [==================>...........] - ETA: 1:07 - loss: 0.2492 - top_k_categorical_accuracy: 0.6138 10528/15968 [==================>...........] - ETA: 1:06 - loss: 0.2490 - top_k_categorical_accuracy: 0.6141 10560/15968 [==================>...........] - ETA: 1:06 - loss: 0.2488 - top_k_categorical_accuracy: 0.6140 10592/15968 [==================>...........] - ETA: 1:05 - loss: 0.2484 - top_k_categorical_accuracy: 0.6142 10624/15968 [==================>...........] - ETA: 1:05 - loss: 0.2482 - top_k_categorical_accuracy: 0.6147 10656/15968 [===================>..........] - ETA: 1:05 - loss: 0.2479 - top_k_categorical_accuracy: 0.6151 10688/15968 [===================>..........] - ETA: 1:04 - loss: 0.2476 - top_k_categorical_accuracy: 0.6154 10720/15968 [===================>..........] - ETA: 1:04 - loss: 0.2473 - top_k_categorical_accuracy: 0.6157 10752/15968 [===================>..........] - ETA: 1:03 - loss: 0.2471 - top_k_categorical_accuracy: 0.6157 10784/15968 [===================>..........] - ETA: 1:03 - loss: 0.2468 - top_k_categorical_accuracy: 0.6162 10816/15968 [===================>..........] - ETA: 1:03 - loss: 0.2467 - top_k_categorical_accuracy: 0.6166 10848/15968 [===================>..........] - ETA: 1:02 - loss: 0.2464 - top_k_categorical_accuracy: 0.6167 10880/15968 [===================>..........] - ETA: 1:02 - loss: 0.2463 - top_k_categorical_accuracy: 0.6169INFO 29-May 07:30:09 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 10912/15968 [===================>..........] - ETA: 1:01 - loss: 0.2461 - top_k_categorical_accuracy: 0.6171 10944/15968 [===================>..........] - ETA: 1:01 - loss: 0.2458 - top_k_categorical_accuracy: 0.6177 10976/15968 [===================>..........] - ETA: 1:01 - loss: 0.2456 - top_k_categorical_accuracy: 0.6178 11008/15968 [===================>..........] - ETA: 1:00 - loss: 0.2453 - top_k_categorical_accuracy: 0.6186 11040/15968 [===================>..........] - ETA: 1:00 - loss: 0.2451 - top_k_categorical_accuracy: 0.6185 11072/15968 [===================>..........] - ETA: 59s - loss: 0.2448 - top_k_categorical_accuracy: 0.6186 11104/15968 [===================>..........] - ETA: 59s - loss: 0.2445 - top_k_categorical_accuracy: 0.6191 11136/15968 [===================>..........] - ETA: 59s - loss: 0.2444 - top_k_categorical_accuracy: 0.6195 11168/15968 [===================>..........] - 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194s 12ms/step - loss: 0.2182 - top_k_categorical_accuracy: 0.6604 Epoch 2/10 32/15968 [..............................] - ETA: 3:09 - loss: 0.1626 - top_k_categorical_accuracy: 0.7500 64/15968 [..............................] - ETA: 3:09 - loss: 0.1367 - top_k_categorical_accuracy: 0.8281 96/15968 [..............................] - ETA: 3:09 - loss: 0.1386 - top_k_categorical_accuracy: 0.8229 128/15968 [..............................] - ETA: 3:08 - loss: 0.1434 - top_k_categorical_accuracy: 0.7812 160/15968 [..............................] - ETA: 3:07 - loss: 0.1419 - top_k_categorical_accuracy: 0.7750 192/15968 [..............................] - ETA: 3:08 - loss: 0.1384 - top_k_categorical_accuracy: 0.7865INFO 29-May 07:31:12 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 224/15968 [..............................] - ETA: 3:07 - loss: 0.1402 - top_k_categorical_accuracy: 0.7902 256/15968 [..............................] - ETA: 3:07 - loss: 0.1467 - top_k_categorical_accuracy: 0.7930 288/15968 [..............................] - ETA: 3:07 - loss: 0.1435 - top_k_categorical_accuracy: 0.7986 320/15968 [..............................] - ETA: 3:06 - loss: 0.1432 - top_k_categorical_accuracy: 0.8000 352/15968 [..............................] - ETA: 3:06 - loss: 0.1416 - top_k_categorical_accuracy: 0.8040 384/15968 [..............................] - ETA: 3:06 - loss: 0.1401 - top_k_categorical_accuracy: 0.8047 416/15968 [..............................] - ETA: 3:05 - loss: 0.1403 - top_k_categorical_accuracy: 0.8005 448/15968 [..............................] - ETA: 3:05 - loss: 0.1420 - top_k_categorical_accuracy: 0.7991 480/15968 [..............................] - ETA: 3:04 - loss: 0.1429 - top_k_categorical_accuracy: 0.8000 512/15968 [..............................] - ETA: 3:04 - loss: 0.1430 - top_k_categorical_accuracy: 0.8008 544/15968 [>.............................] - ETA: 3:03 - loss: 0.1483 - top_k_categorical_accuracy: 0.7996 576/15968 [>.............................] - ETA: 3:03 - loss: 0.1510 - top_k_categorical_accuracy: 0.7934 608/15968 [>.............................] - ETA: 3:03 - loss: 0.1492 - top_k_categorical_accuracy: 0.8010 640/15968 [>.............................] - ETA: 3:02 - loss: 0.1486 - top_k_categorical_accuracy: 0.7969 672/15968 [>.............................] - ETA: 3:02 - loss: 0.1488 - top_k_categorical_accuracy: 0.7902 704/15968 [>.............................] - ETA: 3:01 - loss: 0.1494 - top_k_categorical_accuracy: 0.7926 736/15968 [>.............................] - ETA: 3:01 - loss: 0.1486 - top_k_categorical_accuracy: 0.7908INFO 29-May 07:31:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 768/15968 [>.............................] - ETA: 3:00 - loss: 0.1473 - top_k_categorical_accuracy: 0.7956 800/15968 [>.............................] - ETA: 3:00 - loss: 0.1469 - top_k_categorical_accuracy: 0.7975 832/15968 [>.............................] - ETA: 3:00 - loss: 0.1458 - top_k_categorical_accuracy: 0.8005 864/15968 [>.............................] - ETA: 2:59 - loss: 0.1456 - top_k_categorical_accuracy: 0.7998 896/15968 [>.............................] - ETA: 2:59 - loss: 0.1448 - top_k_categorical_accuracy: 0.8013 928/15968 [>.............................] - ETA: 2:59 - loss: 0.1455 - top_k_categorical_accuracy: 0.8017 960/15968 [>.............................] - ETA: 2:59 - loss: 0.1455 - top_k_categorical_accuracy: 0.8010 992/15968 [>.............................] - ETA: 2:58 - loss: 0.1441 - top_k_categorical_accuracy: 0.8054 1024/15968 [>.............................] - ETA: 2:58 - loss: 0.1443 - top_k_categorical_accuracy: 0.8047 1056/15968 [>.............................] - ETA: 2:57 - loss: 0.1451 - top_k_categorical_accuracy: 0.8030 1088/15968 [=>............................] - ETA: 2:57 - loss: 0.1445 - top_k_categorical_accuracy: 0.8042 1120/15968 [=>............................] - ETA: 2:57 - loss: 0.1453 - top_k_categorical_accuracy: 0.8036 1152/15968 [=>............................] - ETA: 2:56 - loss: 0.1448 - top_k_categorical_accuracy: 0.8056 1184/15968 [=>............................] - ETA: 2:56 - loss: 0.1443 - top_k_categorical_accuracy: 0.8083 1216/15968 [=>............................] - ETA: 2:56 - loss: 0.1447 - top_k_categorical_accuracy: 0.8067INFO 29-May 07:31:24 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 1248/15968 [=>............................] - ETA: 2:55 - loss: 0.1448 - top_k_categorical_accuracy: 0.8045 1280/15968 [=>............................] - ETA: 2:55 - loss: 0.1453 - top_k_categorical_accuracy: 0.8016 1312/15968 [=>............................] - ETA: 2:55 - loss: 0.1461 - top_k_categorical_accuracy: 0.8003 1344/15968 [=>............................] - ETA: 2:54 - loss: 0.1460 - top_k_categorical_accuracy: 0.8036 1376/15968 [=>............................] - ETA: 2:54 - loss: 0.1460 - top_k_categorical_accuracy: 0.8031 1408/15968 [=>............................] - ETA: 2:54 - loss: 0.1450 - top_k_categorical_accuracy: 0.8047 1440/15968 [=>............................] - ETA: 2:53 - loss: 0.1451 - top_k_categorical_accuracy: 0.8028 1472/15968 [=>............................] - ETA: 2:53 - loss: 0.1455 - top_k_categorical_accuracy: 0.8030 1504/15968 [=>............................] - ETA: 2:52 - loss: 0.1451 - top_k_categorical_accuracy: 0.8032 1536/15968 [=>............................] - ETA: 2:52 - loss: 0.1449 - top_k_categorical_accuracy: 0.8040 1568/15968 [=>............................] - ETA: 2:52 - loss: 0.1445 - top_k_categorical_accuracy: 0.8036 1600/15968 [==>...........................] - ETA: 2:51 - loss: 0.1439 - top_k_categorical_accuracy: 0.8056 1632/15968 [==>...........................] - ETA: 2:51 - loss: 0.1435 - top_k_categorical_accuracy: 0.8076INFO 29-May 07:31:29 __init__ 1664/15968 [==>...........................] 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db - ETA: 2:51 - loss: 0.1433 - top_k_categorical_accuracy: 0.8095 1696/15968 [==>...........................] - ETA: 2:50 - loss: 0.1431 - top_k_categorical_accuracy: 0.8090 1728/15968 [==>...........................] - ETA: 2:50 - loss: 0.1426 - top_k_categorical_accuracy: 0.8090 1760/15968 [==>...........................] - ETA: 2:49 - loss: 0.1422 - top_k_categorical_accuracy: 0.8108 1792/15968 [==>...........................] - ETA: 2:49 - loss: 0.1414 - top_k_categorical_accuracy: 0.8108 1824/15968 [==>...........................] - ETA: 2:49 - loss: 0.1419 - top_k_categorical_accuracy: 0.8092 1856/15968 [==>...........................] - ETA: 2:48 - loss: 0.1418 - top_k_categorical_accuracy: 0.8098 1888/15968 [==>...........................] - ETA: 2:48 - loss: 0.1423 - top_k_categorical_accuracy: 0.8109 1920/15968 [==>...........................] - ETA: 2:48 - loss: 0.1423 - top_k_categorical_accuracy: 0.8094 1952/15968 [==>...........................] - ETA: 2:47 - loss: 0.1424 - top_k_categorical_accuracy: 0.8069 1984/15968 [==>...........................] - ETA: 2:47 - loss: 0.1423 - top_k_categorical_accuracy: 0.8059 2016/15968 [==>...........................] - ETA: 2:46 - loss: 0.1421 - top_k_categorical_accuracy: 0.8065 2048/15968 [==>...........................] - ETA: 2:46 - loss: 0.1425 - top_k_categorical_accuracy: 0.8062 2080/15968 [==>...........................] - ETA: 2:46 - loss: 0.1423 - top_k_categorical_accuracy: 0.8063 2112/15968 [==>...........................] - ETA: 2:45 - loss: 0.1425 - top_k_categorical_accuracy: 0.8073INFO 29-May 07:31:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 2144/15968 [===>..........................] - ETA: 2:45 - loss: 0.1427 - top_k_categorical_accuracy: 0.8078 2176/15968 [===>..........................] - ETA: 2:45 - loss: 0.1430 - top_k_categorical_accuracy: 0.8097 2208/15968 [===>..........................] - ETA: 2:44 - loss: 0.1429 - top_k_categorical_accuracy: 0.8080 2240/15968 [===>..........................] - ETA: 2:44 - loss: 0.1427 - top_k_categorical_accuracy: 0.8076 2272/15968 [===>..........................] - ETA: 2:43 - loss: 0.1423 - top_k_categorical_accuracy: 0.8090 2304/15968 [===>..........................] - ETA: 2:43 - loss: 0.1423 - top_k_categorical_accuracy: 0.8095 2336/15968 [===>..........................] - ETA: 2:43 - loss: 0.1423 - top_k_categorical_accuracy: 0.8086 2368/15968 [===>..........................] - ETA: 2:42 - loss: 0.1423 - top_k_categorical_accuracy: 0.8087 2400/15968 [===>..........................] - ETA: 2:42 - loss: 0.1419 - top_k_categorical_accuracy: 0.8100 2432/15968 [===>..........................] - ETA: 2:41 - loss: 0.1419 - top_k_categorical_accuracy: 0.8080 2464/15968 [===>..........................] - ETA: 2:41 - loss: 0.1415 - top_k_categorical_accuracy: 0.8088 2496/15968 [===>..........................] - ETA: 2:41 - loss: 0.1415 - top_k_categorical_accuracy: 0.8093 2528/15968 [===>..........................] - ETA: 2:40 - loss: 0.1411 - top_k_categorical_accuracy: 0.8113 2560/15968 [===>..........................] - ETA: 2:40 - loss: 0.1417 - top_k_categorical_accuracy: 0.8098INFO 29-May 07:31:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db 2592/15968 [===>..........................] - ETA: 2:39 - loss: 0.1419 - top_k_categorical_accuracy: 0.8098 2624/15968 [===>..........................] - ETA: 2:39 - loss: 0.1421 - top_k_categorical_accuracy: 0.8102 2656/15968 [===>..........................] - ETA: 2:39 - loss: 0.1428 - top_k_categorical_accuracy: 0.8087 2688/15968 [====>.........................] - ETA: 2:38 - loss: 0.1422 - top_k_categorical_accuracy: 0.8095 2720/15968 [====>.........................] - ETA: 2:38 - loss: 0.1419 - top_k_categorical_accuracy: 0.8096 2752/15968 [====>.........................] - ETA: 2:38 - loss: 0.1414 - top_k_categorical_accuracy: 0.8110 2784/15968 [====>.........................] - ETA: 2:37 - loss: 0.1414 - top_k_categorical_accuracy: 0.8111 2816/15968 [====>.........................] - ETA: 2:37 - loss: 0.1415 - top_k_categorical_accuracy: 0.8104 2848/15968 [====>.........................] - ETA: 2:36 - loss: 0.1416 - top_k_categorical_accuracy: 0.8097 2880/15968 [====>.........................] - ETA: 2:36 - loss: 0.1416 - top_k_categorical_accuracy: 0.8094 2912/15968 [====>.........................] - ETA: 2:36 - loss: 0.1418 - top_k_categorical_accuracy: 0.8080 2944/15968 [====>.........................] - ETA: 2:35 - loss: 0.1415 - top_k_categorical_accuracy: 0.8084 2976/15968 [====>.........................] - ETA: 2:35 - loss: 0.1414 - top_k_categorical_accuracy: 0.8085INFO 29-May 07:31:45 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 3008/15968 [====>.........................] - ETA: 2:35 - loss: 0.1411 - top_k_categorical_accuracy: 0.8095 3040/15968 [====>.........................] - ETA: 2:34 - loss: 0.1410 - top_k_categorical_accuracy: 0.8092 3072/15968 [====>.........................] - ETA: 2:34 - loss: 0.1409 - top_k_categorical_accuracy: 0.8092 3104/15968 [====>.........................] - ETA: 2:34 - loss: 0.1406 - top_k_categorical_accuracy: 0.8090 3136/15968 [====>.........................] - ETA: 2:33 - loss: 0.1408 - top_k_categorical_accuracy: 0.8084 3168/15968 [====>.........................] - ETA: 2:33 - loss: 0.1407 - top_k_categorical_accuracy: 0.8087 3200/15968 [=====>........................] - ETA: 2:32 - loss: 0.1407 - top_k_categorical_accuracy: 0.8094 3232/15968 [=====>........................] - ETA: 2:32 - loss: 0.1407 - top_k_categorical_accuracy: 0.8097 3264/15968 [=====>........................] - ETA: 2:32 - loss: 0.1407 - top_k_categorical_accuracy: 0.8088 3296/15968 [=====>........................] - ETA: 2:31 - loss: 0.1407 - top_k_categorical_accuracy: 0.8083 3328/15968 [=====>........................] - ETA: 2:31 - loss: 0.1403 - top_k_categorical_accuracy: 0.8089 3360/15968 [=====>........................] - ETA: 2:30 - loss: 0.1401 - top_k_categorical_accuracy: 0.8098 3392/15968 [=====>........................] - ETA: 2:30 - loss: 0.1404 - top_k_categorical_accuracy: 0.8096 3424/15968 [=====>........................] - ETA: 2:30 - loss: 0.1405 - top_k_categorical_accuracy: 0.8096 3456/15968 [=====>........................] - ETA: 2:29 - loss: 0.1405 - top_k_categorical_accuracy: 0.8099INFO 29-May 07:31:51 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 3488/15968 [=====>........................] - ETA: 2:29 - loss: 0.1404 - top_k_categorical_accuracy: 0.8105 3520/15968 [=====>........................] - ETA: 2:28 - loss: 0.1403 - top_k_categorical_accuracy: 0.8102 3552/15968 [=====>........................] - ETA: 2:28 - loss: 0.1399 - top_k_categorical_accuracy: 0.8108 3584/15968 [=====>........................] - ETA: 2:28 - loss: 0.1398 - top_k_categorical_accuracy: 0.8097 3616/15968 [=====>........................] - ETA: 2:27 - loss: 0.1398 - top_k_categorical_accuracy: 0.8095 3648/15968 [=====>........................] - ETA: 2:27 - loss: 0.1400 - top_k_categorical_accuracy: 0.8087 3680/15968 [=====>........................] - ETA: 2:27 - loss: 0.1397 - top_k_categorical_accuracy: 0.8087 3712/15968 [=====>........................] - ETA: 2:26 - loss: 0.1399 - top_k_categorical_accuracy: 0.8082 3744/15968 [======>.......................] - ETA: 2:26 - loss: 0.1402 - top_k_categorical_accuracy: 0.8074 3776/15968 [======>.......................] - ETA: 2:25 - loss: 0.1402 - top_k_categorical_accuracy: 0.8069 3808/15968 [======>.......................] - ETA: 2:25 - loss: 0.1402 - top_k_categorical_accuracy: 0.8075 3840/15968 [======>.......................] - ETA: 2:25 - loss: 0.1400 - top_k_categorical_accuracy: 0.8083 3872/15968 [======>.......................] - ETA: 2:24 - loss: 0.1398 - top_k_categorical_accuracy: 0.8084 3904/15968 [======>.......................] - ETA: 2:24 - loss: 0.1399 - top_k_categorical_accuracy: 0.8079INFO 29-May 07:31:56 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 3936/15968 [======>.......................] - ETA: 2:24 - loss: 0.1397 - top_k_categorical_accuracy: 0.8087 3968/15968 [======>.......................] - ETA: 2:23 - loss: 0.1396 - top_k_categorical_accuracy: 0.8087 4000/15968 [======>.......................] - ETA: 2:23 - loss: 0.1396 - top_k_categorical_accuracy: 0.8093 4032/15968 [======>.......................] - ETA: 2:22 - loss: 0.1395 - top_k_categorical_accuracy: 0.8095 4064/15968 [======>.......................] - ETA: 2:22 - loss: 0.1398 - top_k_categorical_accuracy: 0.8078 4096/15968 [======>.......................] - ETA: 2:22 - loss: 0.1397 - top_k_categorical_accuracy: 0.8081 4128/15968 [======>.......................] - ETA: 2:21 - loss: 0.1397 - top_k_categorical_accuracy: 0.8077 4160/15968 [======>.......................] - ETA: 2:21 - loss: 0.1397 - top_k_categorical_accuracy: 0.8070 4192/15968 [======>.......................] - ETA: 2:20 - loss: 0.1398 - top_k_categorical_accuracy: 0.8061 4224/15968 [======>.......................] - ETA: 2:20 - loss: 0.1396 - top_k_categorical_accuracy: 0.8066 4256/15968 [======>.......................] - ETA: 2:20 - loss: 0.1396 - top_k_categorical_accuracy: 0.8064 4288/15968 [=======>......................] - ETA: 2:19 - loss: 0.1397 - top_k_categorical_accuracy: 0.8069 4320/15968 [=======>......................] - ETA: 2:19 - loss: 0.1398 - top_k_categorical_accuracy: 0.8072 4352/15968 [=======>......................] - ETA: 2:19 - loss: 0.1398 - top_k_categorical_accuracy: 0.8072INFO 29-May 07:32:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 4384/15968 [=======>......................] - ETA: 2:18 - loss: 0.1396 - top_k_categorical_accuracy: 0.8070 4416/15968 [=======>......................] - ETA: 2:18 - loss: 0.1395 - top_k_categorical_accuracy: 0.8082 4448/15968 [=======>......................] - ETA: 2:17 - loss: 0.1394 - top_k_categorical_accuracy: 0.8085 4480/15968 [=======>......................] - ETA: 2:17 - loss: 0.1394 - top_k_categorical_accuracy: 0.8083 4512/15968 [=======>......................] - ETA: 2:17 - loss: 0.1393 - top_k_categorical_accuracy: 0.8085 4544/15968 [=======>......................] - ETA: 2:16 - loss: 0.1395 - top_k_categorical_accuracy: 0.8090 4576/15968 [=======>......................] - ETA: 2:16 - loss: 0.1392 - top_k_categorical_accuracy: 0.8090 4608/15968 [=======>......................] - ETA: 2:16 - loss: 0.1392 - top_k_categorical_accuracy: 0.8090 4640/15968 [=======>......................] - ETA: 2:15 - loss: 0.1393 - top_k_categorical_accuracy: 0.8084 4672/15968 [=======>......................] - ETA: 2:15 - loss: 0.1391 - top_k_categorical_accuracy: 0.8086 4704/15968 [=======>......................] - ETA: 2:14 - loss: 0.1392 - top_k_categorical_accuracy: 0.8085 4736/15968 [=======>......................] - ETA: 2:14 - loss: 0.1389 - top_k_categorical_accuracy: 0.8089 4768/15968 [=======>......................] - ETA: 2:14 - loss: 0.1388 - top_k_categorical_accuracy: 0.8087INFO 29-May 07:32:06 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.99ms cal_jobs_db 4800/15968 [========>.....................] - ETA: 2:13 - loss: 0.1392 - top_k_categorical_accuracy: 0.8081 4832/15968 [========>.....................] - ETA: 2:13 - loss: 0.1390 - top_k_categorical_accuracy: 0.8077 4864/15968 [========>.....................] - ETA: 2:12 - loss: 0.1393 - top_k_categorical_accuracy: 0.8072 4896/15968 [========>.....................] - ETA: 2:12 - loss: 0.1396 - top_k_categorical_accuracy: 0.8066 4928/15968 [========>.....................] - ETA: 2:12 - loss: 0.1395 - top_k_categorical_accuracy: 0.8064 4960/15968 [========>.....................] - ETA: 2:11 - loss: 0.1397 - top_k_categorical_accuracy: 0.8065 4992/15968 [========>.....................] - ETA: 2:11 - loss: 0.1399 - top_k_categorical_accuracy: 0.8063 5024/15968 [========>.....................] - ETA: 2:11 - loss: 0.1395 - top_k_categorical_accuracy: 0.8069 5056/15968 [========>.....................] - ETA: 2:10 - loss: 0.1396 - top_k_categorical_accuracy: 0.8070 5088/15968 [========>.....................] - ETA: 2:10 - loss: 0.1396 - top_k_categorical_accuracy: 0.8074 5120/15968 [========>.....................] - ETA: 2:09 - loss: 0.1395 - top_k_categorical_accuracy: 0.8078 5152/15968 [========>.....................] - ETA: 2:09 - loss: 0.1393 - top_k_categorical_accuracy: 0.8076 5184/15968 [========>.....................] - ETA: 2:09 - loss: 0.1395 - top_k_categorical_accuracy: 0.8077 5216/15968 [========>.....................] - ETA: 2:08 - loss: 0.1395 - top_k_categorical_accuracy: 0.8077INFO 29-May 07:32:12 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.25ms cal_jobs_db 5248/15968 [========>.....................] - ETA: 2:08 - loss: 0.1394 - top_k_categorical_accuracy: 0.8077 5280/15968 [========>.....................] - ETA: 2:07 - loss: 0.1394 - top_k_categorical_accuracy: 0.8076 5312/15968 [========>.....................] - ETA: 2:07 - loss: 0.1393 - top_k_categorical_accuracy: 0.8069 5344/15968 [=========>....................] - ETA: 2:07 - loss: 0.1393 - top_k_categorical_accuracy: 0.8073 5376/15968 [=========>....................] - ETA: 2:06 - loss: 0.1393 - top_k_categorical_accuracy: 0.8064 5408/15968 [=========>....................] - ETA: 2:06 - loss: 0.1394 - top_k_categorical_accuracy: 0.8058 5440/15968 [=========>....................] - ETA: 2:06 - loss: 0.1395 - top_k_categorical_accuracy: 0.8059 5472/15968 [=========>....................] - ETA: 2:05 - loss: 0.1394 - top_k_categorical_accuracy: 0.8059 5504/15968 [=========>....................] - ETA: 2:05 - loss: 0.1394 - top_k_categorical_accuracy: 0.8061 5536/15968 [=========>....................] - ETA: 2:04 - loss: 0.1396 - top_k_categorical_accuracy: 0.8055 5568/15968 [=========>....................] - ETA: 2:04 - loss: 0.1396 - top_k_categorical_accuracy: 0.8050 5600/15968 [=========>....................] - ETA: 2:04 - loss: 0.1394 - top_k_categorical_accuracy: 0.8050 5632/15968 [=========>....................] - ETA: 2:03 - loss: 0.1393 - top_k_categorical_accuracy: 0.8058 5664/15968 [=========>....................] - ETA: 2:03 - loss: 0.1392 - top_k_categorical_accuracy: 0.8051 5696/15968 [=========>....................] - ETA: 2:02 - loss: 0.1391 - top_k_categorical_accuracy: 0.8051 5728/15968 [=========>....................] - ETA: 2:02 - loss: 0.1390 - top_k_categorical_accuracy: 0.8050INFO 29-May 07:32:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 5760/15968 [=========>....................] - ETA: 2:02 - loss: 0.1390 - top_k_categorical_accuracy: 0.8050 5792/15968 [=========>....................] - ETA: 2:01 - loss: 0.1388 - top_k_categorical_accuracy: 0.8051 5824/15968 [=========>....................] - ETA: 2:01 - loss: 0.1387 - top_k_categorical_accuracy: 0.8051 5856/15968 [==========>...................] - ETA: 2:01 - loss: 0.1386 - top_k_categorical_accuracy: 0.8053 5888/15968 [==========>...................] - ETA: 2:00 - loss: 0.1386 - top_k_categorical_accuracy: 0.8052 5920/15968 [==========>...................] - ETA: 2:00 - loss: 0.1385 - top_k_categorical_accuracy: 0.8056 5952/15968 [==========>...................] - ETA: 1:59 - loss: 0.1386 - top_k_categorical_accuracy: 0.8056 5984/15968 [==========>...................] - ETA: 1:59 - loss: 0.1385 - top_k_categorical_accuracy: 0.8050 6016/15968 [==========>...................] - ETA: 1:59 - loss: 0.1386 - top_k_categorical_accuracy: 0.8047 6048/15968 [==========>...................] - ETA: 1:58 - loss: 0.1383 - top_k_categorical_accuracy: 0.8052 6080/15968 [==========>...................] - ETA: 1:58 - loss: 0.1383 - top_k_categorical_accuracy: 0.8058 6112/15968 [==========>...................] - ETA: 1:57 - loss: 0.1382 - top_k_categorical_accuracy: 0.8056 6144/15968 [==========>...................] - ETA: 1:57 - loss: 0.1382 - top_k_categorical_accuracy: 0.8060INFO 29-May 07:32:23 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 6176/15968 [==========>...................] - ETA: 1:57 - loss: 0.1384 - top_k_categorical_accuracy: 0.8060 6208/15968 [==========>...................] - ETA: 1:56 - loss: 0.1386 - top_k_categorical_accuracy: 0.8057 6240/15968 [==========>...................] - ETA: 1:56 - loss: 0.1384 - top_k_categorical_accuracy: 0.8061 6272/15968 [==========>...................] - ETA: 1:56 - loss: 0.1385 - top_k_categorical_accuracy: 0.8061 6304/15968 [==========>...................] - ETA: 1:55 - loss: 0.1383 - top_k_categorical_accuracy: 0.8062 6336/15968 [==========>...................] - ETA: 1:55 - loss: 0.1382 - top_k_categorical_accuracy: 0.8062 6368/15968 [==========>...................] - ETA: 1:54 - loss: 0.1382 - top_k_categorical_accuracy: 0.8061 6400/15968 [===========>..................] - ETA: 1:54 - loss: 0.1383 - top_k_categorical_accuracy: 0.8058 6432/15968 [===========>..................] - ETA: 1:54 - loss: 0.1381 - top_k_categorical_accuracy: 0.8061 6464/15968 [===========>..................] - ETA: 1:53 - loss: 0.1380 - top_k_categorical_accuracy: 0.8058 6496/15968 [===========>..................] - ETA: 1:53 - loss: 0.1378 - top_k_categorical_accuracy: 0.8062 6528/15968 [===========>..................] - ETA: 1:52 - loss: 0.1380 - top_k_categorical_accuracy: 0.8056 6560/15968 [===========>..................] - ETA: 1:52 - loss: 0.1379 - top_k_categorical_accuracy: 0.8056 6592/15968 [===========>..................] - ETA: 1:52 - loss: 0.1378 - top_k_categorical_accuracy: 0.8061INFO 29-May 07:32:28 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 6624/15968 [===========>..................] - ETA: 1:51 - loss: 0.1376 - top_k_categorical_accuracy: 0.8062 6656/15968 [===========>..................] - ETA: 1:51 - loss: 0.1377 - top_k_categorical_accuracy: 0.8056 6688/15968 [===========>..................] - ETA: 1:51 - loss: 0.1376 - top_k_categorical_accuracy: 0.8058 6720/15968 [===========>..................] - ETA: 1:50 - loss: 0.1376 - top_k_categorical_accuracy: 0.8058 6752/15968 [===========>..................] - ETA: 1:50 - loss: 0.1377 - top_k_categorical_accuracy: 0.8061 6784/15968 [===========>..................] - ETA: 1:49 - loss: 0.1375 - top_k_categorical_accuracy: 0.8069 6816/15968 [===========>..................] - ETA: 1:49 - loss: 0.1374 - top_k_categorical_accuracy: 0.8065 6848/15968 [===========>..................] - ETA: 1:49 - loss: 0.1373 - top_k_categorical_accuracy: 0.8068 6880/15968 [===========>..................] - ETA: 1:48 - loss: 0.1373 - top_k_categorical_accuracy: 0.8073 6912/15968 [===========>..................] - ETA: 1:48 - loss: 0.1373 - top_k_categorical_accuracy: 0.8069 6944/15968 [============>.................] - ETA: 1:48 - loss: 0.1373 - top_k_categorical_accuracy: 0.8070 6976/15968 [============>.................] - ETA: 1:47 - loss: 0.1373 - top_k_categorical_accuracy: 0.8071 7008/15968 [============>.................] - ETA: 1:47 - loss: 0.1372 - top_k_categorical_accuracy: 0.8072 7040/15968 [============>.................] - ETA: 1:46 - loss: 0.1372 - top_k_categorical_accuracy: 0.8070INFO 29-May 07:32:33 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 7072/15968 [============>.................] - ETA: 1:46 - loss: 0.1372 - top_k_categorical_accuracy: 0.8071 7104/15968 [============>.................] - ETA: 1:46 - loss: 0.1372 - top_k_categorical_accuracy: 0.8073 7136/15968 [============>.................] - ETA: 1:45 - loss: 0.1371 - top_k_categorical_accuracy: 0.8076 7168/15968 [============>.................] - ETA: 1:45 - loss: 0.1372 - top_k_categorical_accuracy: 0.8072 7200/15968 [============>.................] - ETA: 1:44 - loss: 0.1370 - top_k_categorical_accuracy: 0.8075 7232/15968 [============>.................] - ETA: 1:44 - loss: 0.1369 - top_k_categorical_accuracy: 0.8077 7264/15968 [============>.................] - ETA: 1:44 - loss: 0.1368 - top_k_categorical_accuracy: 0.8078 7296/15968 [============>.................] - ETA: 1:43 - loss: 0.1368 - top_k_categorical_accuracy: 0.8077 7328/15968 [============>.................] - ETA: 1:43 - loss: 0.1368 - top_k_categorical_accuracy: 0.8081 7360/15968 [============>.................] - ETA: 1:43 - loss: 0.1369 - top_k_categorical_accuracy: 0.8079 7392/15968 [============>.................] - ETA: 1:42 - loss: 0.1368 - top_k_categorical_accuracy: 0.8076 7424/15968 [============>.................] - ETA: 1:42 - loss: 0.1368 - top_k_categorical_accuracy: 0.8078 7456/15968 [=============>................] - ETA: 1:41 - loss: 0.1369 - top_k_categorical_accuracy: 0.8074 7488/15968 [=============>................] - ETA: 1:41 - loss: 0.1369 - top_k_categorical_accuracy: 0.8076 7520/15968 [=============>................] - ETA: 1:41 - loss: 0.1368 - top_k_categorical_accuracy: 0.8078 7552/15968 [=============>................] - ETA: 1:40 - loss: 0.1369 - top_k_categorical_accuracy: 0.8081 7584/15968 [=============>................] - ETA: 1:40 - loss: 0.1369 - top_k_categorical_accuracy: 0.8079 7616/15968 [=============>................] - ETA: 1:39 - loss: 0.1370 - top_k_categorical_accuracy: 0.8074INFO 29-May 07:32:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 7648/15968 [=============>................] - ETA: 1:39 - loss: 0.1370 - top_k_categorical_accuracy: 0.8075 7680/15968 [=============>................] - ETA: 1:39 - loss: 0.1370 - top_k_categorical_accuracy: 0.8079 7712/15968 [=============>................] - ETA: 1:38 - loss: 0.1369 - top_k_categorical_accuracy: 0.8081 7744/15968 [=============>................] - ETA: 1:38 - loss: 0.1368 - top_k_categorical_accuracy: 0.8085 7776/15968 [=============>................] - ETA: 1:38 - loss: 0.1367 - top_k_categorical_accuracy: 0.8089 7808/15968 [=============>................] - ETA: 1:37 - loss: 0.1368 - top_k_categorical_accuracy: 0.8083 7840/15968 [=============>................] - ETA: 1:37 - loss: 0.1367 - top_k_categorical_accuracy: 0.8085 7872/15968 [=============>................] - ETA: 1:36 - loss: 0.1367 - top_k_categorical_accuracy: 0.8079 7904/15968 [=============>................] - ETA: 1:36 - loss: 0.1368 - top_k_categorical_accuracy: 0.8074 7936/15968 [=============>................] - ETA: 1:36 - loss: 0.1368 - top_k_categorical_accuracy: 0.8072 7968/15968 [=============>................] - ETA: 1:35 - loss: 0.1368 - top_k_categorical_accuracy: 0.8075 8000/15968 [==============>...............] - ETA: 1:35 - loss: 0.1368 - top_k_categorical_accuracy: 0.8076 8032/15968 [==============>...............] - ETA: 1:34 - loss: 0.1366 - top_k_categorical_accuracy: 0.8079 8064/15968 [==============>...............] - ETA: 1:34 - loss: 0.1366 - top_k_categorical_accuracy: 0.8077 8096/15968 [==============>...............] - ETA: 1:34 - loss: 0.1366 - top_k_categorical_accuracy: 0.8077 8128/15968 [==============>...............] - ETA: 1:33 - loss: 0.1365 - top_k_categorical_accuracy: 0.8082INFO 29-May 07:32:46 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 8160/15968 [==============>...............] - ETA: 1:33 - loss: 0.1367 - top_k_categorical_accuracy: 0.8081 8192/15968 [==============>...............] - ETA: 1:33 - loss: 0.1366 - top_k_categorical_accuracy: 0.8081 8224/15968 [==============>...............] - ETA: 1:32 - loss: 0.1365 - top_k_categorical_accuracy: 0.8080 8256/15968 [==============>...............] - ETA: 1:32 - loss: 0.1365 - top_k_categorical_accuracy: 0.8079 8288/15968 [==============>...............] - ETA: 1:31 - loss: 0.1367 - top_k_categorical_accuracy: 0.8073 8320/15968 [==============>...............] - ETA: 1:31 - loss: 0.1369 - top_k_categorical_accuracy: 0.8069 8352/15968 [==============>...............] - ETA: 1:31 - loss: 0.1370 - top_k_categorical_accuracy: 0.8068 8384/15968 [==============>...............] - ETA: 1:30 - loss: 0.1369 - top_k_categorical_accuracy: 0.8069 8416/15968 [==============>...............] - ETA: 1:30 - loss: 0.1370 - top_k_categorical_accuracy: 0.8066 8448/15968 [==============>...............] - ETA: 1:29 - loss: 0.1371 - top_k_categorical_accuracy: 0.8062 8480/15968 [==============>...............] - ETA: 1:29 - loss: 0.1371 - top_k_categorical_accuracy: 0.8066 8512/15968 [==============>...............] - ETA: 1:29 - loss: 0.1370 - top_k_categorical_accuracy: 0.8066 8544/15968 [===============>..............] - ETA: 1:28 - loss: 0.1370 - top_k_categorical_accuracy: 0.8066INFO 29-May 07:32:52 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db 8576/15968 [===============>..............] - ETA: 1:28 - loss: 0.1369 - top_k_categorical_accuracy: 0.8069 8608/15968 [===============>..............] - ETA: 1:28 - loss: 0.1369 - top_k_categorical_accuracy: 0.8076 8640/15968 [===============>..............] - ETA: 1:27 - loss: 0.1369 - top_k_categorical_accuracy: 0.8078 8672/15968 [===============>..............] - ETA: 1:27 - loss: 0.1369 - top_k_categorical_accuracy: 0.8075 8704/15968 [===============>..............] - ETA: 1:26 - loss: 0.1368 - top_k_categorical_accuracy: 0.8074 8736/15968 [===============>..............] - ETA: 1:26 - loss: 0.1369 - top_k_categorical_accuracy: 0.8075 8768/15968 [===============>..............] - ETA: 1:26 - loss: 0.1367 - top_k_categorical_accuracy: 0.8078 8800/15968 [===============>..............] - ETA: 1:25 - loss: 0.1368 - top_k_categorical_accuracy: 0.8078 8832/15968 [===============>..............] - ETA: 1:25 - loss: 0.1367 - top_k_categorical_accuracy: 0.8080 8864/15968 [===============>..............] - ETA: 1:24 - loss: 0.1366 - top_k_categorical_accuracy: 0.8082 8896/15968 [===============>..............] - ETA: 1:24 - loss: 0.1366 - top_k_categorical_accuracy: 0.8081 8928/15968 [===============>..............] - ETA: 1:24 - loss: 0.1366 - top_k_categorical_accuracy: 0.8081 8960/15968 [===============>..............] - ETA: 1:23 - loss: 0.1366 - top_k_categorical_accuracy: 0.8081 8992/15968 [===============>..............] - ETA: 1:23 - loss: 0.1365 - top_k_categorical_accuracy: 0.8084 9024/15968 [===============>..............] - ETA: 1:23 - loss: 0.1364 - top_k_categorical_accuracy: 0.8084INFO 29-May 07:32:57 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 9056/15968 [================>.............] - ETA: 1:22 - loss: 0.1365 - top_k_categorical_accuracy: 0.8081 9088/15968 [================>.............] - ETA: 1:22 - loss: 0.1365 - top_k_categorical_accuracy: 0.8080 9120/15968 [================>.............] - ETA: 1:21 - loss: 0.1365 - top_k_categorical_accuracy: 0.8082 9152/15968 [================>.............] - ETA: 1:21 - loss: 0.1364 - top_k_categorical_accuracy: 0.8082 9184/15968 [================>.............] - ETA: 1:21 - loss: 0.1364 - top_k_categorical_accuracy: 0.8085 9216/15968 [================>.............] - ETA: 1:20 - loss: 0.1363 - top_k_categorical_accuracy: 0.8085 9248/15968 [================>.............] - ETA: 1:20 - loss: 0.1364 - top_k_categorical_accuracy: 0.8086 9280/15968 [================>.............] - ETA: 1:19 - loss: 0.1364 - top_k_categorical_accuracy: 0.8087 9312/15968 [================>.............] - ETA: 1:19 - loss: 0.1366 - top_k_categorical_accuracy: 0.8090 9344/15968 [================>.............] - ETA: 1:19 - loss: 0.1365 - top_k_categorical_accuracy: 0.8091 9376/15968 [================>.............] - ETA: 1:18 - loss: 0.1365 - top_k_categorical_accuracy: 0.8095 9408/15968 [================>.............] - ETA: 1:18 - loss: 0.1364 - top_k_categorical_accuracy: 0.8096 9440/15968 [================>.............] - ETA: 1:18 - loss: 0.1363 - top_k_categorical_accuracy: 0.8097 9472/15968 [================>.............] - ETA: 1:17 - loss: 0.1363 - top_k_categorical_accuracy: 0.8100INFO 29-May 07:33:02 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 9504/15968 [================>.............] - ETA: 1:17 - loss: 0.1363 - top_k_categorical_accuracy: 0.8101 9536/15968 [================>.............] - ETA: 1:16 - loss: 0.1363 - top_k_categorical_accuracy: 0.8103 9568/15968 [================>.............] - ETA: 1:16 - loss: 0.1363 - top_k_categorical_accuracy: 0.8104 9600/15968 [=================>............] - ETA: 1:16 - loss: 0.1362 - top_k_categorical_accuracy: 0.8105 9632/15968 [=================>............] - ETA: 1:15 - loss: 0.1361 - top_k_categorical_accuracy: 0.8107 9664/15968 [=================>............] - ETA: 1:15 - loss: 0.1361 - top_k_categorical_accuracy: 0.8107 9696/15968 [=================>............] - ETA: 1:15 - loss: 0.1361 - top_k_categorical_accuracy: 0.8106 9728/15968 [=================>............] - ETA: 1:14 - loss: 0.1361 - top_k_categorical_accuracy: 0.8106 9760/15968 [=================>............] - ETA: 1:14 - loss: 0.1361 - top_k_categorical_accuracy: 0.8106 9792/15968 [=================>............] - ETA: 1:13 - loss: 0.1360 - top_k_categorical_accuracy: 0.8110 9824/15968 [=================>............] - ETA: 1:13 - loss: 0.1360 - top_k_categorical_accuracy: 0.8109 9856/15968 [=================>............] - ETA: 1:13 - loss: 0.1360 - top_k_categorical_accuracy: 0.8111 9888/15968 [=================>............] - ETA: 1:12 - loss: 0.1360 - top_k_categorical_accuracy: 0.8112 9920/15968 [=================>............] - ETA: 1:12 - loss: 0.1359 - top_k_categorical_accuracy: 0.8114 9952/15968 [=================>............] - ETA: 1:11 - loss: 0.1359 - top_k_categorical_accuracy: 0.8117 9984/15968 [=================>............] - ETA: 1:11 - loss: 0.1359 - top_k_categorical_accuracy: 0.8118INFO 29-May 07:33:09 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 10016/15968 [=================>............] - ETA: 1:11 - loss: 0.1359 - top_k_categorical_accuracy: 0.8117 10048/15968 [=================>............] - ETA: 1:10 - loss: 0.1359 - top_k_categorical_accuracy: 0.8117 10080/15968 [=================>............] - ETA: 1:10 - loss: 0.1358 - top_k_categorical_accuracy: 0.8120 10112/15968 [=================>............] - ETA: 1:10 - loss: 0.1357 - top_k_categorical_accuracy: 0.8121 10144/15968 [==================>...........] - ETA: 1:09 - loss: 0.1356 - top_k_categorical_accuracy: 0.8121 10176/15968 [==================>...........] - ETA: 1:09 - loss: 0.1356 - top_k_categorical_accuracy: 0.8118 10208/15968 [==================>...........] - ETA: 1:08 - loss: 0.1356 - top_k_categorical_accuracy: 0.8119 10240/15968 [==================>...........] - ETA: 1:08 - loss: 0.1356 - top_k_categorical_accuracy: 0.8120 10272/15968 [==================>...........] - ETA: 1:08 - loss: 0.1357 - top_k_categorical_accuracy: 0.8120 10304/15968 [==================>...........] - ETA: 1:07 - loss: 0.1357 - top_k_categorical_accuracy: 0.8115 10336/15968 [==================>...........] - ETA: 1:07 - loss: 0.1356 - top_k_categorical_accuracy: 0.8117 10368/15968 [==================>...........] - ETA: 1:06 - loss: 0.1356 - top_k_categorical_accuracy: 0.8116 10400/15968 [==================>...........] - ETA: 1:06 - loss: 0.1356 - top_k_categorical_accuracy: 0.8114 10432/15968 [==================>...........] - ETA: 1:06 - loss: 0.1356 - top_k_categorical_accuracy: 0.8113 10464/15968 [==================>...........] - ETA: 1:05 - loss: 0.1356 - top_k_categorical_accuracy: 0.8113INFO 29-May 07:33:14 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.90ms cal_jobs_db 10496/15968 [==================>...........] - ETA: 1:05 - loss: 0.1356 - top_k_categorical_accuracy: 0.8108 10528/15968 [==================>...........] - ETA: 1:05 - loss: 0.1356 - top_k_categorical_accuracy: 0.8111 10560/15968 [==================>...........] - ETA: 1:04 - loss: 0.1354 - top_k_categorical_accuracy: 0.8114 10592/15968 [==================>...........] - ETA: 1:04 - loss: 0.1354 - top_k_categorical_accuracy: 0.8114 10624/15968 [==================>...........] - ETA: 1:03 - loss: 0.1354 - top_k_categorical_accuracy: 0.8114 10656/15968 [===================>..........] - ETA: 1:03 - loss: 0.1354 - top_k_categorical_accuracy: 0.8113 10688/15968 [===================>..........] - ETA: 1:03 - loss: 0.1354 - top_k_categorical_accuracy: 0.8113 10720/15968 [===================>..........] - ETA: 1:02 - loss: 0.1353 - top_k_categorical_accuracy: 0.8113 10752/15968 [===================>..........] - ETA: 1:02 - loss: 0.1353 - top_k_categorical_accuracy: 0.8112 10784/15968 [===================>..........] - ETA: 1:02 - loss: 0.1354 - top_k_categorical_accuracy: 0.8107 10816/15968 [===================>..........] - ETA: 1:01 - loss: 0.1353 - top_k_categorical_accuracy: 0.8111 10848/15968 [===================>..........] - ETA: 1:01 - loss: 0.1352 - 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ETA: 3:08 - loss: 0.0970 - top_k_categorical_accuracy: 0.9062 64/15968 [..............................] - ETA: 3:08 - loss: 0.1046 - top_k_categorical_accuracy: 0.8750 96/15968 [..............................] - ETA: 3:09 - loss: 0.1039 - top_k_categorical_accuracy: 0.8750INFO 29-May 07:34:22 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 128/15968 [..............................] - ETA: 3:09 - loss: 0.1053 - top_k_categorical_accuracy: 0.8750 160/15968 [..............................] - ETA: 3:09 - loss: 0.1073 - top_k_categorical_accuracy: 0.8625 192/15968 [..............................] - ETA: 3:09 - loss: 0.1094 - top_k_categorical_accuracy: 0.8542 224/15968 [..............................] - ETA: 3:11 - loss: 0.1096 - top_k_categorical_accuracy: 0.8571 256/15968 [..............................] - ETA: 3:10 - loss: 0.1063 - top_k_categorical_accuracy: 0.8594 288/15968 [..............................] - ETA: 3:09 - loss: 0.1072 - top_k_categorical_accuracy: 0.8576 320/15968 [..............................] - ETA: 3:08 - loss: 0.1065 - top_k_categorical_accuracy: 0.8594 352/15968 [..............................] - ETA: 3:07 - loss: 0.1063 - top_k_categorical_accuracy: 0.8580 384/15968 [..............................] - ETA: 3:07 - loss: 0.1044 - top_k_categorical_accuracy: 0.8620 416/15968 [..............................] - ETA: 3:08 - loss: 0.1063 - top_k_categorical_accuracy: 0.8630 448/15968 [..............................] - ETA: 3:07 - loss: 0.1094 - top_k_categorical_accuracy: 0.8683 480/15968 [..............................] - ETA: 3:06 - loss: 0.1100 - top_k_categorical_accuracy: 0.8625 512/15968 [..............................] - ETA: 3:05 - loss: 0.1109 - top_k_categorical_accuracy: 0.8613 544/15968 [>.............................] - ETA: 3:05 - loss: 0.1094 - top_k_categorical_accuracy: 0.8603 576/15968 [>.............................] - ETA: 3:05 - loss: 0.1096 - top_k_categorical_accuracy: 0.8628INFO 29-May 07:34:28 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 608/15968 [>.............................] - ETA: 3:05 - loss: 0.1088 - top_k_categorical_accuracy: 0.8668 640/15968 [>.............................] - ETA: 3:04 - loss: 0.1089 - top_k_categorical_accuracy: 0.8672 672/15968 [>.............................] - ETA: 3:04 - loss: 0.1107 - top_k_categorical_accuracy: 0.8631 704/15968 [>.............................] - ETA: 3:03 - loss: 0.1111 - top_k_categorical_accuracy: 0.8594 736/15968 [>.............................] - ETA: 3:03 - loss: 0.1115 - top_k_categorical_accuracy: 0.8614 768/15968 [>.............................] - ETA: 3:02 - loss: 0.1104 - top_k_categorical_accuracy: 0.8620 800/15968 [>.............................] - ETA: 3:02 - loss: 0.1100 - top_k_categorical_accuracy: 0.8625 832/15968 [>.............................] - ETA: 3:01 - loss: 0.1117 - top_k_categorical_accuracy: 0.8570 864/15968 [>.............................] - ETA: 3:01 - loss: 0.1113 - top_k_categorical_accuracy: 0.8576 896/15968 [>.............................] - ETA: 3:01 - loss: 0.1124 - top_k_categorical_accuracy: 0.8549 928/15968 [>.............................] - ETA: 3:01 - loss: 0.1122 - top_k_categorical_accuracy: 0.8556 960/15968 [>.............................] - ETA: 3:00 - loss: 0.1116 - top_k_categorical_accuracy: 0.8604 992/15968 [>.............................] - ETA: 3:00 - loss: 0.1110 - top_k_categorical_accuracy: 0.8599 1024/15968 [>.............................] - ETA: 2:59 - loss: 0.1113 - top_k_categorical_accuracy: 0.8604 1056/15968 [>.............................] - ETA: 2:59 - loss: 0.1108 - top_k_categorical_accuracy: 0.8636 1088/15968 [=>............................] - ETA: 2:58 - loss: 0.1110 - top_k_categorical_accuracy: 0.8621INFO 29-May 07:34:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 1120/15968 [=>............................] - ETA: 2:58 - loss: 0.1105 - top_k_categorical_accuracy: 0.8634 1152/15968 [=>............................] - ETA: 2:58 - loss: 0.1105 - top_k_categorical_accuracy: 0.8611 1184/15968 [=>............................] - ETA: 2:57 - loss: 0.1099 - top_k_categorical_accuracy: 0.8649 1216/15968 [=>............................] - ETA: 2:57 - loss: 0.1093 - top_k_categorical_accuracy: 0.8660 1248/15968 [=>............................] - ETA: 2:57 - loss: 0.1106 - top_k_categorical_accuracy: 0.8638 1280/15968 [=>............................] - ETA: 2:56 - loss: 0.1103 - top_k_categorical_accuracy: 0.8648 1312/15968 [=>............................] - ETA: 2:56 - loss: 0.1100 - top_k_categorical_accuracy: 0.8651 1344/15968 [=>............................] - ETA: 2:55 - loss: 0.1095 - top_k_categorical_accuracy: 0.8676 1376/15968 [=>............................] - ETA: 2:55 - loss: 0.1100 - top_k_categorical_accuracy: 0.8663 1408/15968 [=>............................] - ETA: 2:55 - loss: 0.1105 - top_k_categorical_accuracy: 0.8636 1440/15968 [=>............................] - ETA: 2:54 - loss: 0.1108 - top_k_categorical_accuracy: 0.8639 1472/15968 [=>............................] - ETA: 2:54 - loss: 0.1103 - top_k_categorical_accuracy: 0.8641 1504/15968 [=>............................] - ETA: 2:53 - loss: 0.1107 - top_k_categorical_accuracy: 0.8630 1536/15968 [=>............................] - ETA: 2:53 - loss: 0.1104 - top_k_categorical_accuracy: 0.8639 1568/15968 [=>............................] - ETA: 2:53 - loss: 0.1103 - top_k_categorical_accuracy: 0.8648 1600/15968 [==>...........................] - ETA: 2:52 - loss: 0.1104 - top_k_categorical_accuracy: 0.8662INFO 29-May 07:34:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.68ms cal_jobs_db 1632/15968 [==>...........................] - ETA: 2:52 - loss: 0.1098 - top_k_categorical_accuracy: 0.8683 1664/15968 [==>...........................] - ETA: 2:51 - loss: 0.1105 - top_k_categorical_accuracy: 0.8678 1696/15968 [==>...........................] - ETA: 2:51 - loss: 0.1102 - top_k_categorical_accuracy: 0.8673 1728/15968 [==>...........................] - ETA: 2:51 - loss: 0.1102 - top_k_categorical_accuracy: 0.8675 1760/15968 [==>...........................] - ETA: 2:50 - loss: 0.1104 - top_k_categorical_accuracy: 0.8670 1792/15968 [==>...........................] - ETA: 2:50 - loss: 0.1102 - top_k_categorical_accuracy: 0.8666 1824/15968 [==>...........................] - ETA: 2:49 - loss: 0.1100 - top_k_categorical_accuracy: 0.8679 1856/15968 [==>...........................] - ETA: 2:49 - loss: 0.1101 - top_k_categorical_accuracy: 0.8685 1888/15968 [==>...........................] - ETA: 2:49 - loss: 0.1098 - top_k_categorical_accuracy: 0.8692 1920/15968 [==>...........................] - ETA: 2:48 - loss: 0.1102 - top_k_categorical_accuracy: 0.8688 1952/15968 [==>...........................] - ETA: 2:48 - loss: 0.1100 - top_k_categorical_accuracy: 0.8694 1984/15968 [==>...........................] - ETA: 2:47 - loss: 0.1097 - top_k_categorical_accuracy: 0.8710 2016/15968 [==>...........................] - ETA: 2:47 - loss: 0.1100 - top_k_categorical_accuracy: 0.8720 2048/15968 [==>...........................] - ETA: 2:47 - loss: 0.1099 - top_k_categorical_accuracy: 0.8711 2080/15968 [==>...........................] - ETA: 2:46 - loss: 0.1094 - top_k_categorical_accuracy: 0.8721 2112/15968 [==>...........................] - ETA: 2:46 - loss: 0.1093 - top_k_categorical_accuracy: 0.8712 2144/15968 [===>..........................] - ETA: 2:45 - loss: 0.1093 - top_k_categorical_accuracy: 0.8703 2176/15968 [===>..........................] - ETA: 2:45 - loss: 0.1093 - top_k_categorical_accuracy: 0.8699INFO 29-May 07:34:47 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.08ms cal_jobs_db 2208/15968 [===>..........................] - ETA: 2:45 - loss: 0.1095 - top_k_categorical_accuracy: 0.8696 2240/15968 [===>..........................] - ETA: 2:44 - loss: 0.1094 - top_k_categorical_accuracy: 0.8696 2272/15968 [===>..........................] - ETA: 2:44 - loss: 0.1091 - top_k_categorical_accuracy: 0.8702 2304/15968 [===>..........................] - ETA: 2:43 - loss: 0.1088 - top_k_categorical_accuracy: 0.8707 2336/15968 [===>..........................] - ETA: 2:43 - loss: 0.1087 - top_k_categorical_accuracy: 0.8711 2368/15968 [===>..........................] - ETA: 2:43 - loss: 0.1089 - top_k_categorical_accuracy: 0.8716 2400/15968 [===>..........................] - ETA: 2:42 - loss: 0.1089 - top_k_categorical_accuracy: 0.8712 2432/15968 [===>..........................] - ETA: 2:42 - loss: 0.1092 - top_k_categorical_accuracy: 0.8713 2464/15968 [===>..........................] - ETA: 2:41 - loss: 0.1095 - top_k_categorical_accuracy: 0.8713 2496/15968 [===>..........................] - ETA: 2:41 - loss: 0.1101 - top_k_categorical_accuracy: 0.8686 2528/15968 [===>..........................] - ETA: 2:41 - loss: 0.1102 - top_k_categorical_accuracy: 0.8679 2560/15968 [===>..........................] - ETA: 2:40 - loss: 0.1100 - top_k_categorical_accuracy: 0.8680 2592/15968 [===>..........................] - ETA: 2:40 - loss: 0.1100 - top_k_categorical_accuracy: 0.8677 2624/15968 [===>..........................] - ETA: 2:39 - loss: 0.1099 - top_k_categorical_accuracy: 0.8666 2656/15968 [===>..........................] - ETA: 2:39 - loss: 0.1095 - top_k_categorical_accuracy: 0.8678 2688/15968 [====>.........................] - ETA: 2:39 - loss: 0.1098 - top_k_categorical_accuracy: 0.8676INFO 29-May 07:34:53 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 2720/15968 [====>.........................] - ETA: 2:38 - loss: 0.1101 - top_k_categorical_accuracy: 0.8680 2752/15968 [====>.........................] - ETA: 2:38 - loss: 0.1103 - top_k_categorical_accuracy: 0.8666 2784/15968 [====>.........................] - ETA: 2:37 - loss: 0.1101 - top_k_categorical_accuracy: 0.8667 2816/15968 [====>.........................] - ETA: 2:37 - loss: 0.1101 - top_k_categorical_accuracy: 0.8672 2848/15968 [====>.........................] - ETA: 2:37 - loss: 0.1104 - top_k_categorical_accuracy: 0.8669 2880/15968 [====>.........................] - ETA: 2:36 - loss: 0.1107 - top_k_categorical_accuracy: 0.8677 2912/15968 [====>.........................] - ETA: 2:36 - loss: 0.1109 - top_k_categorical_accuracy: 0.8664 2944/15968 [====>.........................] - ETA: 2:36 - loss: 0.1109 - top_k_categorical_accuracy: 0.8658 2976/15968 [====>.........................] - ETA: 2:35 - loss: 0.1108 - top_k_categorical_accuracy: 0.8649 3008/15968 [====>.........................] - ETA: 2:35 - loss: 0.1110 - top_k_categorical_accuracy: 0.8647 3040/15968 [====>.........................] - ETA: 2:34 - loss: 0.1111 - top_k_categorical_accuracy: 0.8655 3072/15968 [====>.........................] - ETA: 2:34 - loss: 0.1112 - top_k_categorical_accuracy: 0.8659 3104/15968 [====>.........................] - ETA: 2:34 - loss: 0.1115 - top_k_categorical_accuracy: 0.8657 3136/15968 [====>.........................] - ETA: 2:33 - loss: 0.1114 - top_k_categorical_accuracy: 0.8654 3168/15968 [====>.........................] - ETA: 2:33 - loss: 0.1115 - top_k_categorical_accuracy: 0.8655INFO 29-May 07:34:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 3200/15968 [=====>........................] - ETA: 2:33 - loss: 0.1112 - top_k_categorical_accuracy: 0.8659 3232/15968 [=====>........................] - ETA: 2:32 - loss: 0.1110 - top_k_categorical_accuracy: 0.8660 3264/15968 [=====>........................] - ETA: 2:32 - loss: 0.1107 - top_k_categorical_accuracy: 0.8661 3296/15968 [=====>........................] - ETA: 2:32 - loss: 0.1110 - top_k_categorical_accuracy: 0.8662 3328/15968 [=====>........................] - ETA: 2:31 - loss: 0.1110 - top_k_categorical_accuracy: 0.8660 3360/15968 [=====>........................] - ETA: 2:31 - loss: 0.1108 - top_k_categorical_accuracy: 0.8664 3392/15968 [=====>........................] - ETA: 2:30 - loss: 0.1113 - top_k_categorical_accuracy: 0.8650 3424/15968 [=====>........................] - ETA: 2:30 - loss: 0.1112 - top_k_categorical_accuracy: 0.8651 3456/15968 [=====>........................] - ETA: 2:30 - loss: 0.1117 - top_k_categorical_accuracy: 0.8646 3488/15968 [=====>........................] - ETA: 2:29 - loss: 0.1115 - top_k_categorical_accuracy: 0.8655 3520/15968 [=====>........................] - ETA: 2:29 - loss: 0.1116 - top_k_categorical_accuracy: 0.8656 3552/15968 [=====>........................] - ETA: 2:28 - loss: 0.1112 - top_k_categorical_accuracy: 0.8668 3584/15968 [=====>........................] - ETA: 2:28 - loss: 0.1110 - top_k_categorical_accuracy: 0.8675 3616/15968 [=====>........................] - ETA: 2:28 - loss: 0.1111 - top_k_categorical_accuracy: 0.8684 3648/15968 [=====>........................] - ETA: 2:27 - loss: 0.1111 - top_k_categorical_accuracy: 0.8684 3680/15968 [=====>........................] - ETA: 2:27 - loss: 0.1109 - top_k_categorical_accuracy: 0.8690INFO 29-May 07:35:05 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db 3712/15968 [=====>........................] - ETA: 2:27 - loss: 0.1110 - top_k_categorical_accuracy: 0.8677 3744/15968 [======>.......................] - ETA: 2:26 - loss: 0.1113 - top_k_categorical_accuracy: 0.8670 3776/15968 [======>.......................] - ETA: 2:26 - loss: 0.1113 - top_k_categorical_accuracy: 0.8673 3808/15968 [======>.......................] - ETA: 2:25 - loss: 0.1110 - top_k_categorical_accuracy: 0.8679 3840/15968 [======>.......................] - ETA: 2:25 - loss: 0.1109 - top_k_categorical_accuracy: 0.8680 3872/15968 [======>.......................] - ETA: 2:25 - loss: 0.1110 - top_k_categorical_accuracy: 0.8678 3904/15968 [======>.......................] - ETA: 2:24 - loss: 0.1110 - top_k_categorical_accuracy: 0.8681 3936/15968 [======>.......................] - ETA: 2:24 - loss: 0.1109 - top_k_categorical_accuracy: 0.8679 3968/15968 [======>.......................] - ETA: 2:23 - loss: 0.1108 - top_k_categorical_accuracy: 0.8677 4000/15968 [======>.......................] - ETA: 2:23 - loss: 0.1108 - top_k_categorical_accuracy: 0.8675 4032/15968 [======>.......................] - ETA: 2:23 - loss: 0.1110 - top_k_categorical_accuracy: 0.8671 4064/15968 [======>.......................] - ETA: 2:22 - loss: 0.1110 - top_k_categorical_accuracy: 0.8669 4096/15968 [======>.......................] - ETA: 2:22 - loss: 0.1112 - top_k_categorical_accuracy: 0.8665 4128/15968 [======>.......................] - ETA: 2:21 - loss: 0.1113 - top_k_categorical_accuracy: 0.8660 4160/15968 [======>.......................] - ETA: 2:21 - loss: 0.1114 - top_k_categorical_accuracy: 0.8661 4192/15968 [======>.......................] - ETA: 2:21 - loss: 0.1113 - top_k_categorical_accuracy: 0.8667 4224/15968 [======>.......................] - ETA: 2:20 - loss: 0.1113 - top_k_categorical_accuracy: 0.8667 4256/15968 [======>.......................] - ETA: 2:20 - loss: 0.1111 - top_k_categorical_accuracy: 0.8672INFO 29-May 07:35:12 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 4288/15968 [=======>......................] - ETA: 2:20 - loss: 0.1111 - top_k_categorical_accuracy: 0.8673 4320/15968 [=======>......................] - ETA: 2:19 - loss: 0.1111 - top_k_categorical_accuracy: 0.8674 4352/15968 [=======>......................] - ETA: 2:19 - loss: 0.1112 - top_k_categorical_accuracy: 0.8670 4384/15968 [=======>......................] - ETA: 2:18 - loss: 0.1112 - top_k_categorical_accuracy: 0.8670 4416/15968 [=======>......................] - ETA: 2:18 - loss: 0.1112 - top_k_categorical_accuracy: 0.8659 4448/15968 [=======>......................] - ETA: 2:18 - loss: 0.1112 - top_k_categorical_accuracy: 0.8653 4480/15968 [=======>......................] - ETA: 2:17 - loss: 0.1109 - top_k_categorical_accuracy: 0.8661 4512/15968 [=======>......................] - ETA: 2:17 - loss: 0.1109 - top_k_categorical_accuracy: 0.8664 4544/15968 [=======>......................] - ETA: 2:17 - loss: 0.1108 - top_k_categorical_accuracy: 0.8664 4576/15968 [=======>......................] - ETA: 2:16 - loss: 0.1105 - top_k_categorical_accuracy: 0.8669 4608/15968 [=======>......................] - ETA: 2:16 - loss: 0.1103 - top_k_categorical_accuracy: 0.8672 4640/15968 [=======>......................] - ETA: 2:15 - loss: 0.1102 - top_k_categorical_accuracy: 0.8675 4672/15968 [=======>......................] - ETA: 2:15 - loss: 0.1101 - top_k_categorical_accuracy: 0.8675 4704/15968 [=======>......................] - ETA: 2:15 - loss: 0.1101 - top_k_categorical_accuracy: 0.8676 4736/15968 [=======>......................] - ETA: 2:14 - loss: 0.1100 - top_k_categorical_accuracy: 0.8674 4768/15968 [=======>......................] - ETA: 2:14 - loss: 0.1099 - top_k_categorical_accuracy: 0.8679INFO 29-May 07:35:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 4800/15968 [========>.....................] - ETA: 2:13 - loss: 0.1102 - top_k_categorical_accuracy: 0.8679 4832/15968 [========>.....................] - ETA: 2:13 - loss: 0.1103 - top_k_categorical_accuracy: 0.8675 4864/15968 [========>.....................] - ETA: 2:13 - loss: 0.1104 - top_k_categorical_accuracy: 0.8674 4896/15968 [========>.....................] - ETA: 2:12 - loss: 0.1102 - top_k_categorical_accuracy: 0.8679 4928/15968 [========>.....................] - ETA: 2:12 - loss: 0.1101 - top_k_categorical_accuracy: 0.8677 4960/15968 [========>.....................] - ETA: 2:11 - loss: 0.1101 - top_k_categorical_accuracy: 0.8683 4992/15968 [========>.....................] - ETA: 2:11 - loss: 0.1100 - top_k_categorical_accuracy: 0.8686 5024/15968 [========>.....................] - ETA: 2:11 - loss: 0.1098 - top_k_categorical_accuracy: 0.8690 5056/15968 [========>.....................] - ETA: 2:10 - loss: 0.1099 - top_k_categorical_accuracy: 0.8695 5088/15968 [========>.....................] - ETA: 2:10 - loss: 0.1099 - top_k_categorical_accuracy: 0.8695 5120/15968 [========>.....................] - ETA: 2:10 - loss: 0.1100 - top_k_categorical_accuracy: 0.8693 5152/15968 [========>.....................] - ETA: 2:09 - loss: 0.1099 - top_k_categorical_accuracy: 0.8690 5184/15968 [========>.....................] - ETA: 2:09 - loss: 0.1098 - top_k_categorical_accuracy: 0.8688 5216/15968 [========>.....................] - ETA: 2:08 - loss: 0.1095 - top_k_categorical_accuracy: 0.8694 5248/15968 [========>.....................] - ETA: 2:08 - loss: 0.1094 - top_k_categorical_accuracy: 0.8697INFO 29-May 07:35:24 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 5280/15968 [========>.....................] - ETA: 2:08 - loss: 0.1094 - top_k_categorical_accuracy: 0.8699 5312/15968 [========>.....................] - ETA: 2:07 - loss: 0.1093 - top_k_categorical_accuracy: 0.8701 5344/15968 [=========>....................] - ETA: 2:07 - loss: 0.1093 - top_k_categorical_accuracy: 0.8694 5376/15968 [=========>....................] - ETA: 2:07 - loss: 0.1092 - top_k_categorical_accuracy: 0.8700 5408/15968 [=========>....................] - ETA: 2:06 - loss: 0.1092 - top_k_categorical_accuracy: 0.8695 5440/15968 [=========>....................] - ETA: 2:06 - loss: 0.1095 - top_k_categorical_accuracy: 0.8691 5472/15968 [=========>....................] - ETA: 2:05 - loss: 0.1094 - top_k_categorical_accuracy: 0.8690 5504/15968 [=========>....................] - ETA: 2:05 - loss: 0.1093 - top_k_categorical_accuracy: 0.8688 5536/15968 [=========>....................] - ETA: 2:05 - loss: 0.1092 - top_k_categorical_accuracy: 0.8683 5568/15968 [=========>....................] - ETA: 2:04 - loss: 0.1093 - top_k_categorical_accuracy: 0.8684 5600/15968 [=========>....................] - ETA: 2:04 - loss: 0.1093 - top_k_categorical_accuracy: 0.8682 5632/15968 [=========>....................] - ETA: 2:03 - loss: 0.1096 - top_k_categorical_accuracy: 0.8679 5664/15968 [=========>....................] - ETA: 2:03 - loss: 0.1097 - top_k_categorical_accuracy: 0.8679 5696/15968 [=========>....................] - ETA: 2:03 - loss: 0.1098 - top_k_categorical_accuracy: 0.8682 5728/15968 [=========>....................] - ETA: 2:02 - loss: 0.1099 - top_k_categorical_accuracy: 0.8677 5760/15968 [=========>....................] - ETA: 2:02 - loss: 0.1100 - top_k_categorical_accuracy: 0.8679INFO 29-May 07:35:30 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 5792/15968 [=========>....................] - ETA: 2:02 - loss: 0.1100 - top_k_categorical_accuracy: 0.8679 5824/15968 [=========>....................] - ETA: 2:01 - loss: 0.1099 - top_k_categorical_accuracy: 0.8678 5856/15968 [==========>...................] - ETA: 2:01 - loss: 0.1100 - top_k_categorical_accuracy: 0.8677 5888/15968 [==========>...................] - ETA: 2:00 - loss: 0.1101 - top_k_categorical_accuracy: 0.8667 5920/15968 [==========>...................] - ETA: 2:00 - loss: 0.1100 - top_k_categorical_accuracy: 0.8667 5952/15968 [==========>...................] - ETA: 2:00 - loss: 0.1099 - top_k_categorical_accuracy: 0.8666 5984/15968 [==========>...................] - ETA: 1:59 - loss: 0.1099 - top_k_categorical_accuracy: 0.8665 6016/15968 [==========>...................] - ETA: 1:59 - loss: 0.1099 - top_k_categorical_accuracy: 0.8662 6048/15968 [==========>...................] - ETA: 1:59 - loss: 0.1101 - top_k_categorical_accuracy: 0.8657 6080/15968 [==========>...................] - ETA: 1:58 - loss: 0.1102 - top_k_categorical_accuracy: 0.8658 6112/15968 [==========>...................] - ETA: 1:58 - loss: 0.1102 - top_k_categorical_accuracy: 0.8660 6144/15968 [==========>...................] - ETA: 1:57 - loss: 0.1102 - top_k_categorical_accuracy: 0.8659 6176/15968 [==========>...................] - ETA: 1:57 - loss: 0.1103 - top_k_categorical_accuracy: 0.8651 6208/15968 [==========>...................] - ETA: 1:57 - loss: 0.1103 - top_k_categorical_accuracy: 0.8653 6240/15968 [==========>...................] - ETA: 1:56 - loss: 0.1103 - top_k_categorical_accuracy: 0.8651 6272/15968 [==========>...................] - ETA: 1:56 - loss: 0.1102 - top_k_categorical_accuracy: 0.8653INFO 29-May 07:35:36 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.27ms cal_jobs_db 6304/15968 [==========>...................] - ETA: 1:55 - loss: 0.1101 - top_k_categorical_accuracy: 0.8653 6336/15968 [==========>...................] - ETA: 1:55 - loss: 0.1100 - top_k_categorical_accuracy: 0.8657 6368/15968 [==========>...................] - ETA: 1:55 - loss: 0.1100 - top_k_categorical_accuracy: 0.8654 6400/15968 [===========>..................] - ETA: 1:54 - loss: 0.1099 - top_k_categorical_accuracy: 0.8656 6432/15968 [===========>..................] - ETA: 1:54 - loss: 0.1101 - top_k_categorical_accuracy: 0.8652 6464/15968 [===========>..................] - ETA: 1:53 - loss: 0.1100 - top_k_categorical_accuracy: 0.8656 6496/15968 [===========>..................] - ETA: 1:53 - loss: 0.1101 - top_k_categorical_accuracy: 0.8659 6528/15968 [===========>..................] - ETA: 1:53 - loss: 0.1100 - top_k_categorical_accuracy: 0.8664 6560/15968 [===========>..................] - ETA: 1:52 - loss: 0.1099 - top_k_categorical_accuracy: 0.8665 6592/15968 [===========>..................] - ETA: 1:52 - loss: 0.1100 - top_k_categorical_accuracy: 0.8660 6624/15968 [===========>..................] - ETA: 1:52 - loss: 0.1101 - top_k_categorical_accuracy: 0.8661 6656/15968 [===========>..................] - ETA: 1:51 - loss: 0.1100 - top_k_categorical_accuracy: 0.8663 6688/15968 [===========>..................] - ETA: 1:51 - loss: 0.1099 - top_k_categorical_accuracy: 0.8663 6720/15968 [===========>..................] - ETA: 1:50 - loss: 0.1099 - top_k_categorical_accuracy: 0.8667 6752/15968 [===========>..................] - ETA: 1:50 - loss: 0.1099 - top_k_categorical_accuracy: 0.8667INFO 29-May 07:35:42 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db 6784/15968 [===========>..................] - ETA: 1:50 - loss: 0.1098 - top_k_categorical_accuracy: 0.8669 6816/15968 [===========>..................] - ETA: 1:49 - loss: 0.1098 - top_k_categorical_accuracy: 0.8669 6848/15968 [===========>..................] - ETA: 1:49 - loss: 0.1099 - top_k_categorical_accuracy: 0.8671 6880/15968 [===========>..................] - ETA: 1:48 - loss: 0.1098 - top_k_categorical_accuracy: 0.8674 6912/15968 [===========>..................] - ETA: 1:48 - loss: 0.1098 - top_k_categorical_accuracy: 0.8673 6944/15968 [============>.................] - 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ETA: 1:44 - loss: 0.1095 - top_k_categorical_accuracy: 0.8677INFO 29-May 07:35:48 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.90ms cal_jobs_db 7296/15968 [============>.................] - ETA: 1:43 - loss: 0.1095 - top_k_categorical_accuracy: 0.8673 7328/15968 [============>.................] - ETA: 1:43 - loss: 0.1095 - top_k_categorical_accuracy: 0.8671 7360/15968 [============>.................] - ETA: 1:43 - loss: 0.1094 - top_k_categorical_accuracy: 0.8675 7392/15968 [============>.................] - ETA: 1:42 - loss: 0.1095 - top_k_categorical_accuracy: 0.8673 7424/15968 [============>.................] - ETA: 1:42 - loss: 0.1094 - top_k_categorical_accuracy: 0.8672 7456/15968 [=============>................] - ETA: 1:42 - loss: 0.1094 - top_k_categorical_accuracy: 0.8674 7488/15968 [=============>................] - ETA: 1:41 - loss: 0.1094 - top_k_categorical_accuracy: 0.8677 7520/15968 [=============>................] - ETA: 1:41 - loss: 0.1093 - top_k_categorical_accuracy: 0.8680 7552/15968 [=============>................] - ETA: 1:40 - loss: 0.1094 - top_k_categorical_accuracy: 0.8681 7584/15968 [=============>................] - ETA: 1:40 - loss: 0.1093 - top_k_categorical_accuracy: 0.8684 7616/15968 [=============>................] - ETA: 1:40 - loss: 0.1095 - top_k_categorical_accuracy: 0.8682 7648/15968 [=============>................] - ETA: 1:39 - loss: 0.1096 - top_k_categorical_accuracy: 0.8678 7680/15968 [=============>................] - ETA: 1:39 - loss: 0.1096 - top_k_categorical_accuracy: 0.8678 7712/15968 [=============>................] - ETA: 1:38 - loss: 0.1097 - top_k_categorical_accuracy: 0.8677 7744/15968 [=============>................] - ETA: 1:38 - loss: 0.1097 - top_k_categorical_accuracy: 0.8678 7776/15968 [=============>................] - ETA: 1:38 - loss: 0.1097 - top_k_categorical_accuracy: 0.8677INFO 29-May 07:35:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 7808/15968 [=============>................] - ETA: 1:37 - loss: 0.1098 - top_k_categorical_accuracy: 0.8674 7840/15968 [=============>................] - 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ETA: 1:33 - loss: 0.1097 - top_k_categorical_accuracy: 0.8681 8192/15968 [==============>...............] - ETA: 1:33 - loss: 0.1096 - top_k_categorical_accuracy: 0.8683 8224/15968 [==============>...............] - ETA: 1:32 - loss: 0.1096 - top_k_categorical_accuracy: 0.8686 8256/15968 [==============>...............] - ETA: 1:32 - loss: 0.1096 - top_k_categorical_accuracy: 0.8688INFO 29-May 07:36:00 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.19ms cal_jobs_db 8288/15968 [==============>...............] - ETA: 1:32 - loss: 0.1096 - top_k_categorical_accuracy: 0.8687 8320/15968 [==============>...............] - ETA: 1:31 - loss: 0.1096 - top_k_categorical_accuracy: 0.8688 8352/15968 [==============>...............] - ETA: 1:31 - loss: 0.1096 - top_k_categorical_accuracy: 0.8684 8384/15968 [==============>...............] - ETA: 1:30 - loss: 0.1096 - top_k_categorical_accuracy: 0.8684 8416/15968 [==============>...............] - ETA: 1:30 - loss: 0.1095 - top_k_categorical_accuracy: 0.8686 8448/15968 [==============>...............] - 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ETA: 1:26 - loss: 0.1094 - top_k_categorical_accuracy: 0.8670INFO 29-May 07:36:06 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 8800/15968 [===============>..............] - ETA: 1:25 - loss: 0.1094 - top_k_categorical_accuracy: 0.8673 8832/15968 [===============>..............] - ETA: 1:25 - loss: 0.1095 - top_k_categorical_accuracy: 0.8672 8864/15968 [===============>..............] - ETA: 1:25 - loss: 0.1095 - top_k_categorical_accuracy: 0.8672 8896/15968 [===============>..............] - ETA: 1:24 - loss: 0.1096 - top_k_categorical_accuracy: 0.8671 8928/15968 [===============>..............] - ETA: 1:24 - loss: 0.1095 - top_k_categorical_accuracy: 0.8675 8960/15968 [===============>..............] - ETA: 1:24 - loss: 0.1096 - top_k_categorical_accuracy: 0.8676 8992/15968 [===============>..............] - ETA: 1:23 - loss: 0.1097 - top_k_categorical_accuracy: 0.8673 9024/15968 [===============>..............] - ETA: 1:23 - loss: 0.1097 - top_k_categorical_accuracy: 0.8672 9056/15968 [================>.............] - ETA: 1:22 - loss: 0.1097 - top_k_categorical_accuracy: 0.8674 9088/15968 [================>.............] - ETA: 1:22 - loss: 0.1098 - top_k_categorical_accuracy: 0.8675 9120/15968 [================>.............] - ETA: 1:22 - loss: 0.1097 - top_k_categorical_accuracy: 0.8674 9152/15968 [================>.............] - ETA: 1:21 - loss: 0.1098 - top_k_categorical_accuracy: 0.8672 9184/15968 [================>.............] - ETA: 1:21 - loss: 0.1098 - top_k_categorical_accuracy: 0.8673 9216/15968 [================>.............] - ETA: 1:20 - loss: 0.1097 - top_k_categorical_accuracy: 0.8672 9248/15968 [================>.............] - ETA: 1:20 - loss: 0.1097 - top_k_categorical_accuracy: 0.8672INFO 29-May 07:36:12 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 9280/15968 [================>.............] - ETA: 1:20 - loss: 0.1098 - top_k_categorical_accuracy: 0.8670 9312/15968 [================>.............] - ETA: 1:19 - loss: 0.1099 - top_k_categorical_accuracy: 0.8667 9344/15968 [================>.............] - ETA: 1:19 - loss: 0.1099 - top_k_categorical_accuracy: 0.8668 9376/15968 [================>.............] - ETA: 1:19 - loss: 0.1099 - top_k_categorical_accuracy: 0.8670 9408/15968 [================>.............] - ETA: 1:18 - loss: 0.1100 - top_k_categorical_accuracy: 0.8668 9440/15968 [================>.............] - ETA: 1:18 - loss: 0.1101 - top_k_categorical_accuracy: 0.8665 9472/15968 [================>.............] - ETA: 1:17 - loss: 0.1101 - top_k_categorical_accuracy: 0.8667 9504/15968 [================>.............] - ETA: 1:17 - loss: 0.1102 - top_k_categorical_accuracy: 0.8666 9536/15968 [================>.............] - ETA: 1:17 - loss: 0.1102 - top_k_categorical_accuracy: 0.8665 9568/15968 [================>.............] - ETA: 1:16 - loss: 0.1101 - top_k_categorical_accuracy: 0.8666 9600/15968 [=================>............] - ETA: 1:16 - loss: 0.1102 - top_k_categorical_accuracy: 0.8664 9632/15968 [=================>............] - ETA: 1:16 - loss: 0.1103 - top_k_categorical_accuracy: 0.8664 9664/15968 [=================>............] - ETA: 1:15 - loss: 0.1103 - top_k_categorical_accuracy: 0.8665 9696/15968 [=================>............] - ETA: 1:15 - loss: 0.1103 - top_k_categorical_accuracy: 0.8669 9728/15968 [=================>............] - ETA: 1:14 - loss: 0.1102 - top_k_categorical_accuracy: 0.8668 9760/15968 [=================>............] - ETA: 1:14 - loss: 0.1102 - top_k_categorical_accuracy: 0.8668 9792/15968 [=================>............] - ETA: 1:14 - loss: 0.1101 - top_k_categorical_accuracy: 0.8670INFO 29-May 07:36:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 9824/15968 [=================>............] - ETA: 1:13 - loss: 0.1100 - top_k_categorical_accuracy: 0.8669 9856/15968 [=================>............] - ETA: 1:13 - loss: 0.1101 - top_k_categorical_accuracy: 0.8666 9888/15968 [=================>............] - ETA: 1:12 - loss: 0.1101 - top_k_categorical_accuracy: 0.8665 9920/15968 [=================>............] - ETA: 1:12 - loss: 0.1100 - top_k_categorical_accuracy: 0.8665 9952/15968 [=================>............] - ETA: 1:12 - loss: 0.1100 - top_k_categorical_accuracy: 0.8664 9984/15968 [=================>............] - ETA: 1:11 - loss: 0.1099 - top_k_categorical_accuracy: 0.8666 10016/15968 [=================>............] - ETA: 1:11 - loss: 0.1100 - top_k_categorical_accuracy: 0.8666 10048/15968 [=================>............] - ETA: 1:11 - loss: 0.1099 - top_k_categorical_accuracy: 0.8668 10080/15968 [=================>............] - ETA: 1:10 - loss: 0.1099 - top_k_categorical_accuracy: 0.8672 10112/15968 [=================>............] - ETA: 1:10 - loss: 0.1099 - top_k_categorical_accuracy: 0.8673 10144/15968 [==================>...........] - ETA: 1:09 - loss: 0.1100 - top_k_categorical_accuracy: 0.8669 10176/15968 [==================>...........] - ETA: 1:09 - loss: 0.1099 - top_k_categorical_accuracy: 0.8669 10208/15968 [==================>...........] - ETA: 1:09 - loss: 0.1100 - top_k_categorical_accuracy: 0.8665 10240/15968 [==================>...........] - ETA: 1:08 - loss: 0.1100 - top_k_categorical_accuracy: 0.8661INFO 29-May 07:36:24 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 10272/15968 [==================>...........] - ETA: 1:08 - loss: 0.1099 - top_k_categorical_accuracy: 0.8663 10304/15968 [==================>...........] - ETA: 1:07 - loss: 0.1098 - top_k_categorical_accuracy: 0.8664 10336/15968 [==================>...........] - ETA: 1:07 - loss: 0.1099 - top_k_categorical_accuracy: 0.8663 10368/15968 [==================>...........] - ETA: 1:07 - loss: 0.1099 - top_k_categorical_accuracy: 0.8662 10400/15968 [==================>...........] - ETA: 1:06 - loss: 0.1098 - top_k_categorical_accuracy: 0.8662 10432/15968 [==================>...........] - ETA: 1:06 - loss: 0.1098 - top_k_categorical_accuracy: 0.8662 10464/15968 [==================>...........] - ETA: 1:06 - loss: 0.1097 - top_k_categorical_accuracy: 0.8664 10496/15968 [==================>...........] - ETA: 1:05 - loss: 0.1098 - top_k_categorical_accuracy: 0.8662 10528/15968 [==================>...........] - 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192s 12ms/step - loss: 0.1085 - top_k_categorical_accuracy: 0.8674 Epoch 4/10 32/15968 [..............................] - ETA: 3:09 - loss: 0.1114 - top_k_categorical_accuracy: 0.9375 64/15968 [..............................] - ETA: 3:10 - loss: 0.1134 - top_k_categorical_accuracy: 0.9375 96/15968 [..............................] - ETA: 3:09 - loss: 0.1246 - top_k_categorical_accuracy: 0.8854INFO 29-May 07:37:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.98ms cal_jobs_db 128/15968 [..............................] - ETA: 3:09 - loss: 0.1150 - top_k_categorical_accuracy: 0.8984 160/15968 [..............................] - ETA: 3:08 - loss: 0.1135 - top_k_categorical_accuracy: 0.9000 192/15968 [..............................] - ETA: 3:09 - loss: 0.1164 - top_k_categorical_accuracy: 0.8802 224/15968 [..............................] - ETA: 3:08 - loss: 0.1121 - top_k_categorical_accuracy: 0.8884 256/15968 [..............................] - ETA: 3:08 - loss: 0.1116 - top_k_categorical_accuracy: 0.8867 288/15968 [..............................] - ETA: 3:07 - loss: 0.1110 - top_k_categorical_accuracy: 0.8889 320/15968 [..............................] - ETA: 3:07 - loss: 0.1115 - top_k_categorical_accuracy: 0.8812 352/15968 [..............................] - ETA: 3:07 - loss: 0.1111 - top_k_categorical_accuracy: 0.8807 384/15968 [..............................] - ETA: 3:07 - loss: 0.1093 - top_k_categorical_accuracy: 0.8880 416/15968 [..............................] - ETA: 3:06 - loss: 0.1070 - top_k_categorical_accuracy: 0.8942 448/15968 [..............................] - ETA: 3:06 - loss: 0.1051 - top_k_categorical_accuracy: 0.8929 480/15968 [..............................] - ETA: 3:06 - loss: 0.1053 - top_k_categorical_accuracy: 0.8896 512/15968 [..............................] - ETA: 3:06 - loss: 0.1040 - top_k_categorical_accuracy: 0.8945 544/15968 [>.............................] - ETA: 3:05 - loss: 0.1033 - top_k_categorical_accuracy: 0.8989 576/15968 [>.............................] - ETA: 3:05 - loss: 0.1020 - top_k_categorical_accuracy: 0.9010 608/15968 [>.............................] - ETA: 3:04 - loss: 0.1004 - top_k_categorical_accuracy: 0.9013INFO 29-May 07:37:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 640/15968 [>.............................] - ETA: 3:04 - loss: 0.1008 - top_k_categorical_accuracy: 0.9000 672/15968 [>.............................] - ETA: 3:04 - loss: 0.1016 - top_k_categorical_accuracy: 0.9018 704/15968 [>.............................] - ETA: 3:03 - loss: 0.1010 - top_k_categorical_accuracy: 0.9020 736/15968 [>.............................] - ETA: 3:03 - loss: 0.1007 - top_k_categorical_accuracy: 0.9022 768/15968 [>.............................] - ETA: 3:02 - loss: 0.1023 - top_k_categorical_accuracy: 0.8997 800/15968 [>.............................] - ETA: 3:02 - loss: 0.1009 - top_k_categorical_accuracy: 0.9012 832/15968 [>.............................] - ETA: 3:01 - loss: 0.1003 - top_k_categorical_accuracy: 0.9014 864/15968 [>.............................] - ETA: 3:01 - loss: 0.1002 - top_k_categorical_accuracy: 0.9016 896/15968 [>.............................] - ETA: 3:00 - loss: 0.0987 - top_k_categorical_accuracy: 0.9040 928/15968 [>.............................] - ETA: 3:00 - loss: 0.0984 - top_k_categorical_accuracy: 0.9041 960/15968 [>.............................] - ETA: 3:00 - loss: 0.0987 - top_k_categorical_accuracy: 0.9042 992/15968 [>.............................] - ETA: 2:59 - loss: 0.0979 - top_k_categorical_accuracy: 0.9052 1024/15968 [>.............................] - ETA: 2:59 - loss: 0.0982 - top_k_categorical_accuracy: 0.9033 1056/15968 [>.............................] - ETA: 2:59 - loss: 0.0976 - top_k_categorical_accuracy: 0.9025 1088/15968 [=>............................] - ETA: 2:58 - loss: 0.0971 - top_k_categorical_accuracy: 0.9026 1120/15968 [=>............................] - ETA: 2:58 - loss: 0.0969 - top_k_categorical_accuracy: 0.9036INFO 29-May 07:37:46 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 1152/15968 [=>............................] - ETA: 2:57 - loss: 0.0971 - top_k_categorical_accuracy: 0.9010 1184/15968 [=>............................] - ETA: 2:57 - loss: 0.0975 - top_k_categorical_accuracy: 0.8995 1216/15968 [=>............................] - ETA: 2:57 - loss: 0.0968 - top_k_categorical_accuracy: 0.8997 1248/15968 [=>............................] - ETA: 2:56 - loss: 0.0965 - top_k_categorical_accuracy: 0.8990 1280/15968 [=>............................] - ETA: 2:56 - loss: 0.0961 - top_k_categorical_accuracy: 0.8992 1312/15968 [=>............................] - ETA: 2:55 - loss: 0.0954 - top_k_categorical_accuracy: 0.9002 1344/15968 [=>............................] - ETA: 2:55 - loss: 0.0952 - top_k_categorical_accuracy: 0.8996 1376/15968 [=>............................] - ETA: 2:54 - loss: 0.0951 - top_k_categorical_accuracy: 0.9004 1408/15968 [=>............................] - ETA: 2:54 - loss: 0.0945 - top_k_categorical_accuracy: 0.8999 1440/15968 [=>............................] - ETA: 2:54 - loss: 0.0943 - top_k_categorical_accuracy: 0.9007 1472/15968 [=>............................] - ETA: 2:54 - loss: 0.0947 - top_k_categorical_accuracy: 0.8995 1504/15968 [=>............................] - ETA: 2:53 - loss: 0.0948 - top_k_categorical_accuracy: 0.8996 1536/15968 [=>............................] - ETA: 2:53 - loss: 0.0952 - top_k_categorical_accuracy: 0.9004 1568/15968 [=>............................] - ETA: 2:52 - loss: 0.0959 - top_k_categorical_accuracy: 0.8986 1600/15968 [==>...........................] - ETA: 2:52 - loss: 0.0958 - top_k_categorical_accuracy: 0.8988INFO 29-May 07:37:52 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 1632/15968 [==>...........................] - ETA: 2:52 - loss: 0.0965 - top_k_categorical_accuracy: 0.8946 1664/15968 [==>...........................] - ETA: 2:51 - loss: 0.0965 - top_k_categorical_accuracy: 0.8948 1696/15968 [==>...........................] - ETA: 2:51 - loss: 0.0965 - top_k_categorical_accuracy: 0.8956 1728/15968 [==>...........................] - ETA: 2:51 - loss: 0.0964 - top_k_categorical_accuracy: 0.8958 1760/15968 [==>...........................] - ETA: 2:50 - loss: 0.0964 - top_k_categorical_accuracy: 0.8960 1792/15968 [==>...........................] - ETA: 2:50 - loss: 0.0963 - top_k_categorical_accuracy: 0.8956 1824/15968 [==>...........................] - ETA: 2:49 - loss: 0.0972 - top_k_categorical_accuracy: 0.8936 1856/15968 [==>...........................] - ETA: 2:49 - loss: 0.0970 - top_k_categorical_accuracy: 0.8944 1888/15968 [==>...........................] - ETA: 2:49 - loss: 0.0969 - top_k_categorical_accuracy: 0.8935 1920/15968 [==>...........................] - ETA: 2:48 - loss: 0.0969 - top_k_categorical_accuracy: 0.8932 1952/15968 [==>...........................] - ETA: 2:48 - loss: 0.0969 - top_k_categorical_accuracy: 0.8929 1984/15968 [==>...........................] - ETA: 2:47 - loss: 0.0966 - top_k_categorical_accuracy: 0.8936 2016/15968 [==>...........................] - ETA: 2:47 - loss: 0.0966 - top_k_categorical_accuracy: 0.8948 2048/15968 [==>...........................] - ETA: 2:47 - loss: 0.0962 - top_k_categorical_accuracy: 0.8945 2080/15968 [==>...........................] - ETA: 2:46 - loss: 0.0965 - top_k_categorical_accuracy: 0.8928 2112/15968 [==>...........................] - ETA: 2:46 - loss: 0.0968 - top_k_categorical_accuracy: 0.8935INFO 29-May 07:37:58 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 2144/15968 [===>..........................] - ETA: 2:45 - loss: 0.0968 - top_k_categorical_accuracy: 0.8937 2176/15968 [===>..........................] - ETA: 2:45 - loss: 0.0968 - top_k_categorical_accuracy: 0.8929 2208/15968 [===>..........................] - ETA: 2:45 - loss: 0.0965 - top_k_categorical_accuracy: 0.8936 2240/15968 [===>..........................] - ETA: 2:44 - loss: 0.0968 - top_k_categorical_accuracy: 0.8938 2272/15968 [===>..........................] - ETA: 2:44 - loss: 0.0966 - top_k_categorical_accuracy: 0.8944 2304/15968 [===>..........................] - ETA: 2:44 - loss: 0.0969 - top_k_categorical_accuracy: 0.8950 2336/15968 [===>..........................] - ETA: 2:43 - loss: 0.0970 - top_k_categorical_accuracy: 0.8947 2368/15968 [===>..........................] - ETA: 2:43 - loss: 0.0968 - top_k_categorical_accuracy: 0.8953 2400/15968 [===>..........................] - ETA: 2:42 - loss: 0.0965 - top_k_categorical_accuracy: 0.8950 2432/15968 [===>..........................] - ETA: 2:42 - loss: 0.0963 - top_k_categorical_accuracy: 0.8951 2464/15968 [===>..........................] - ETA: 2:42 - loss: 0.0959 - top_k_categorical_accuracy: 0.8961 2496/15968 [===>..........................] - ETA: 2:41 - loss: 0.0964 - top_k_categorical_accuracy: 0.8954 2528/15968 [===>..........................] - ETA: 2:41 - loss: 0.0963 - top_k_categorical_accuracy: 0.8948 2560/15968 [===>..........................] - ETA: 2:41 - loss: 0.0961 - top_k_categorical_accuracy: 0.8953 2592/15968 [===>..........................] - ETA: 2:40 - loss: 0.0963 - top_k_categorical_accuracy: 0.8954INFO 29-May 07:38:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.92ms cal_jobs_db 2624/15968 [===>..........................] - ETA: 2:40 - loss: 0.0960 - top_k_categorical_accuracy: 0.8967 2656/15968 [===>..........................] - ETA: 2:39 - loss: 0.0960 - top_k_categorical_accuracy: 0.8965 2688/15968 [====>.........................] - ETA: 2:39 - loss: 0.0960 - top_k_categorical_accuracy: 0.8958 2720/15968 [====>.........................] - ETA: 2:39 - loss: 0.0962 - top_k_categorical_accuracy: 0.8949 2752/15968 [====>.........................] - ETA: 2:38 - loss: 0.0967 - top_k_categorical_accuracy: 0.8943 2784/15968 [====>.........................] - ETA: 2:38 - loss: 0.0967 - top_k_categorical_accuracy: 0.8948 2816/15968 [====>.........................] - ETA: 2:37 - loss: 0.0970 - top_k_categorical_accuracy: 0.8949 2848/15968 [====>.........................] - ETA: 2:37 - loss: 0.0971 - top_k_categorical_accuracy: 0.8950 2880/15968 [====>.........................] - ETA: 2:37 - loss: 0.0970 - top_k_categorical_accuracy: 0.8951 2912/15968 [====>.........................] - ETA: 2:36 - loss: 0.0970 - top_k_categorical_accuracy: 0.8939 2944/15968 [====>.........................] - ETA: 2:36 - loss: 0.0968 - top_k_categorical_accuracy: 0.8944 2976/15968 [====>.........................] - ETA: 2:35 - loss: 0.0967 - top_k_categorical_accuracy: 0.8945 3008/15968 [====>.........................] - ETA: 2:35 - loss: 0.0966 - top_k_categorical_accuracy: 0.8943 3040/15968 [====>.........................] - ETA: 2:35 - loss: 0.0970 - top_k_categorical_accuracy: 0.8931 3072/15968 [====>.........................] - ETA: 2:34 - loss: 0.0970 - top_k_categorical_accuracy: 0.8929 3104/15968 [====>.........................] - ETA: 2:34 - loss: 0.0970 - top_k_categorical_accuracy: 0.8927 3136/15968 [====>.........................] - ETA: 2:33 - loss: 0.0971 - top_k_categorical_accuracy: 0.8929 3168/15968 [====>.........................] - ETA: 2:33 - loss: 0.0970 - top_k_categorical_accuracy: 0.8939 3200/15968 [=====>........................] - ETA: 2:33 - loss: 0.0973 - top_k_categorical_accuracy: 0.8931INFO 29-May 07:38:11 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 3232/15968 [=====>........................] - ETA: 2:32 - loss: 0.0973 - top_k_categorical_accuracy: 0.8936 3264/15968 [=====>........................] - ETA: 2:32 - loss: 0.0976 - top_k_categorical_accuracy: 0.8931 3296/15968 [=====>........................] - ETA: 2:32 - loss: 0.0974 - top_k_categorical_accuracy: 0.8932 3328/15968 [=====>........................] - ETA: 2:31 - loss: 0.0973 - top_k_categorical_accuracy: 0.8936 3360/15968 [=====>........................] - ETA: 2:31 - loss: 0.0973 - top_k_categorical_accuracy: 0.8938 3392/15968 [=====>........................] - ETA: 2:31 - loss: 0.0971 - top_k_categorical_accuracy: 0.8945 3424/15968 [=====>........................] - ETA: 2:30 - loss: 0.0971 - top_k_categorical_accuracy: 0.8940 3456/15968 [=====>........................] - ETA: 2:30 - loss: 0.0970 - top_k_categorical_accuracy: 0.8944 3488/15968 [=====>........................] - ETA: 2:29 - loss: 0.0972 - top_k_categorical_accuracy: 0.8942 3520/15968 [=====>........................] - ETA: 2:29 - loss: 0.0972 - top_k_categorical_accuracy: 0.8940 3552/15968 [=====>........................] - ETA: 2:29 - loss: 0.0971 - top_k_categorical_accuracy: 0.8930 3584/15968 [=====>........................] - ETA: 2:28 - loss: 0.0970 - top_k_categorical_accuracy: 0.8926 3616/15968 [=====>........................] - ETA: 2:28 - loss: 0.0970 - top_k_categorical_accuracy: 0.8919 3648/15968 [=====>........................] - ETA: 2:28 - loss: 0.0971 - top_k_categorical_accuracy: 0.8920 3680/15968 [=====>........................] - ETA: 2:27 - loss: 0.0971 - top_k_categorical_accuracy: 0.8924INFO 29-May 07:38:17 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 3712/15968 [=====>........................] - ETA: 2:27 - loss: 0.0973 - top_k_categorical_accuracy: 0.8920 3744/15968 [======>.......................] - ETA: 2:26 - loss: 0.0974 - top_k_categorical_accuracy: 0.8921 3776/15968 [======>.......................] - ETA: 2:26 - loss: 0.0975 - top_k_categorical_accuracy: 0.8919 3808/15968 [======>.......................] - ETA: 2:26 - loss: 0.0972 - top_k_categorical_accuracy: 0.8921 3840/15968 [======>.......................] - ETA: 2:25 - loss: 0.0975 - top_k_categorical_accuracy: 0.8917 3872/15968 [======>.......................] - ETA: 2:25 - loss: 0.0971 - top_k_categorical_accuracy: 0.8926 3904/15968 [======>.......................] - ETA: 2:24 - loss: 0.0971 - top_k_categorical_accuracy: 0.8932 3936/15968 [======>.......................] - ETA: 2:24 - loss: 0.0971 - top_k_categorical_accuracy: 0.8933 3968/15968 [======>.......................] - ETA: 2:24 - loss: 0.0971 - top_k_categorical_accuracy: 0.8939 4000/15968 [======>.......................] - ETA: 2:23 - loss: 0.0972 - top_k_categorical_accuracy: 0.8938 4032/15968 [======>.......................] - ETA: 2:23 - loss: 0.0972 - top_k_categorical_accuracy: 0.8943 4064/15968 [======>.......................] - ETA: 2:22 - loss: 0.0970 - top_k_categorical_accuracy: 0.8947 4096/15968 [======>.......................] - ETA: 2:22 - loss: 0.0967 - top_k_categorical_accuracy: 0.8955 4128/15968 [======>.......................] - ETA: 2:22 - loss: 0.0966 - top_k_categorical_accuracy: 0.8958 4160/15968 [======>.......................] - ETA: 2:21 - loss: 0.0963 - top_k_categorical_accuracy: 0.8962 4192/15968 [======>.......................] - ETA: 2:21 - loss: 0.0964 - top_k_categorical_accuracy: 0.8965INFO 29-May 07:38:23 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.15ms cal_jobs_db 4224/15968 [======>.......................] - ETA: 2:21 - loss: 0.0965 - top_k_categorical_accuracy: 0.8961 4256/15968 [======>.......................] - ETA: 2:20 - loss: 0.0965 - top_k_categorical_accuracy: 0.8961 4288/15968 [=======>......................] - ETA: 2:20 - loss: 0.0964 - top_k_categorical_accuracy: 0.8967 4320/15968 [=======>......................] - ETA: 2:19 - loss: 0.0963 - top_k_categorical_accuracy: 0.8970 4352/15968 [=======>......................] - ETA: 2:19 - loss: 0.0963 - top_k_categorical_accuracy: 0.8968 4384/15968 [=======>......................] - ETA: 2:19 - loss: 0.0962 - top_k_categorical_accuracy: 0.8969 4416/15968 [=======>......................] - ETA: 2:18 - loss: 0.0961 - top_k_categorical_accuracy: 0.8976 4448/15968 [=======>......................] - ETA: 2:18 - loss: 0.0962 - top_k_categorical_accuracy: 0.8973 4480/15968 [=======>......................] - ETA: 2:17 - loss: 0.0962 - top_k_categorical_accuracy: 0.8971 4512/15968 [=======>......................] - ETA: 2:17 - loss: 0.0964 - top_k_categorical_accuracy: 0.8972 4544/15968 [=======>......................] - ETA: 2:17 - loss: 0.0962 - top_k_categorical_accuracy: 0.8970 4576/15968 [=======>......................] - ETA: 2:16 - loss: 0.0963 - top_k_categorical_accuracy: 0.8971 4608/15968 [=======>......................] - ETA: 2:16 - loss: 0.0964 - top_k_categorical_accuracy: 0.8967 4640/15968 [=======>......................] - ETA: 2:16 - loss: 0.0963 - top_k_categorical_accuracy: 0.8968 4672/15968 [=======>......................] - ETA: 2:15 - loss: 0.0962 - top_k_categorical_accuracy: 0.8966 4704/15968 [=======>......................] - ETA: 2:15 - loss: 0.0963 - top_k_categorical_accuracy: 0.8958INFO 29-May 07:38:29 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 4736/15968 [=======>......................] - ETA: 2:14 - loss: 0.0963 - top_k_categorical_accuracy: 0.8961 4768/15968 [=======>......................] - ETA: 2:14 - loss: 0.0962 - top_k_categorical_accuracy: 0.8966 4800/15968 [========>.....................] - ETA: 2:14 - loss: 0.0959 - top_k_categorical_accuracy: 0.8973 4832/15968 [========>.....................] - ETA: 2:13 - loss: 0.0959 - top_k_categorical_accuracy: 0.8974 4864/15968 [========>.....................] - ETA: 2:13 - loss: 0.0960 - top_k_categorical_accuracy: 0.8964 4896/15968 [========>.....................] - ETA: 2:12 - loss: 0.0960 - top_k_categorical_accuracy: 0.8962 4928/15968 [========>.....................] - ETA: 2:12 - loss: 0.0959 - top_k_categorical_accuracy: 0.8963 4960/15968 [========>.....................] - ETA: 2:12 - loss: 0.0958 - top_k_categorical_accuracy: 0.8964 4992/15968 [========>.....................] - ETA: 2:11 - loss: 0.0958 - top_k_categorical_accuracy: 0.8962 5024/15968 [========>.....................] - ETA: 2:11 - loss: 0.0958 - top_k_categorical_accuracy: 0.8959 5056/15968 [========>.....................] - ETA: 2:10 - loss: 0.0957 - top_k_categorical_accuracy: 0.8964 5088/15968 [========>.....................] - ETA: 2:10 - loss: 0.0956 - top_k_categorical_accuracy: 0.8964 5120/15968 [========>.....................] - ETA: 2:10 - loss: 0.0958 - top_k_categorical_accuracy: 0.8961 5152/15968 [========>.....................] - ETA: 2:09 - loss: 0.0958 - top_k_categorical_accuracy: 0.8960 5184/15968 [========>.....................] - ETA: 2:09 - loss: 0.0958 - top_k_categorical_accuracy: 0.8964INFO 29-May 07:38:35 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 5216/15968 [========>.....................] - ETA: 2:09 - loss: 0.0958 - top_k_categorical_accuracy: 0.8961 5248/15968 [========>.....................] - ETA: 2:08 - loss: 0.0957 - top_k_categorical_accuracy: 0.8965 5280/15968 [========>.....................] - ETA: 2:08 - loss: 0.0957 - top_k_categorical_accuracy: 0.8968 5312/15968 [========>.....................] - ETA: 2:07 - loss: 0.0955 - top_k_categorical_accuracy: 0.8970 5344/15968 [=========>....................] - ETA: 2:07 - loss: 0.0954 - top_k_categorical_accuracy: 0.8973 5376/15968 [=========>....................] - ETA: 2:07 - loss: 0.0954 - top_k_categorical_accuracy: 0.8975 5408/15968 [=========>....................] - ETA: 2:06 - loss: 0.0953 - top_k_categorical_accuracy: 0.8979 5440/15968 [=========>....................] - ETA: 2:06 - loss: 0.0954 - top_k_categorical_accuracy: 0.8972 5472/15968 [=========>....................] - ETA: 2:05 - loss: 0.0955 - top_k_categorical_accuracy: 0.8973 5504/15968 [=========>....................] - ETA: 2:05 - loss: 0.0954 - top_k_categorical_accuracy: 0.8975 5536/15968 [=========>....................] - ETA: 2:05 - loss: 0.0953 - top_k_categorical_accuracy: 0.8979 5568/15968 [=========>....................] - ETA: 2:04 - loss: 0.0952 - top_k_categorical_accuracy: 0.8982 5600/15968 [=========>....................] - ETA: 2:04 - loss: 0.0953 - top_k_categorical_accuracy: 0.8980 5632/15968 [=========>....................] - ETA: 2:04 - loss: 0.0954 - top_k_categorical_accuracy: 0.8981 5664/15968 [=========>....................] - ETA: 2:03 - loss: 0.0955 - top_k_categorical_accuracy: 0.8976 5696/15968 [=========>....................] - ETA: 2:03 - loss: 0.0954 - top_k_categorical_accuracy: 0.8975INFO 29-May 07:38:41 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.33ms cal_jobs_db 5728/15968 [=========>....................] - ETA: 2:02 - loss: 0.0952 - top_k_categorical_accuracy: 0.8975 5760/15968 [=========>....................] - ETA: 2:02 - loss: 0.0951 - top_k_categorical_accuracy: 0.8977 5792/15968 [=========>....................] - ETA: 2:02 - loss: 0.0953 - top_k_categorical_accuracy: 0.8976 5824/15968 [=========>....................] - ETA: 2:01 - loss: 0.0954 - top_k_categorical_accuracy: 0.8975 5856/15968 [==========>...................] - ETA: 2:01 - loss: 0.0954 - top_k_categorical_accuracy: 0.8970 5888/15968 [==========>...................] - ETA: 2:00 - loss: 0.0953 - top_k_categorical_accuracy: 0.8974 5920/15968 [==========>...................] - ETA: 2:00 - loss: 0.0952 - top_k_categorical_accuracy: 0.8975 5952/15968 [==========>...................] - ETA: 2:00 - loss: 0.0954 - top_k_categorical_accuracy: 0.8973 5984/15968 [==========>...................] - ETA: 1:59 - loss: 0.0953 - top_k_categorical_accuracy: 0.8972 6016/15968 [==========>...................] - ETA: 1:59 - loss: 0.0953 - top_k_categorical_accuracy: 0.8974 6048/15968 [==========>...................] - ETA: 1:59 - loss: 0.0953 - top_k_categorical_accuracy: 0.8972 6080/15968 [==========>...................] - ETA: 1:58 - loss: 0.0952 - top_k_categorical_accuracy: 0.8970 6112/15968 [==========>...................] - ETA: 1:58 - loss: 0.0952 - top_k_categorical_accuracy: 0.8966 6144/15968 [==========>...................] - ETA: 1:57 - loss: 0.0951 - top_k_categorical_accuracy: 0.8968 6176/15968 [==========>...................] - ETA: 1:57 - loss: 0.0950 - top_k_categorical_accuracy: 0.8969 6208/15968 [==========>...................] - ETA: 1:57 - loss: 0.0950 - top_k_categorical_accuracy: 0.8971INFO 29-May 07:38:47 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.00ms cal_jobs_db 6240/15968 [==========>...................] - ETA: 1:56 - loss: 0.0952 - top_k_categorical_accuracy: 0.8965 6272/15968 [==========>...................] - ETA: 1:56 - loss: 0.0951 - top_k_categorical_accuracy: 0.8965 6304/15968 [==========>...................] - ETA: 1:55 - loss: 0.0954 - top_k_categorical_accuracy: 0.8961 6336/15968 [==========>...................] - 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ETA: 1:51 - loss: 0.0952 - top_k_categorical_accuracy: 0.8968 6688/15968 [===========>..................] - ETA: 1:51 - loss: 0.0951 - top_k_categorical_accuracy: 0.8970INFO 29-May 07:38:53 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 6720/15968 [===========>..................] - ETA: 1:50 - loss: 0.0952 - top_k_categorical_accuracy: 0.8970 6752/15968 [===========>..................] - ETA: 1:50 - loss: 0.0951 - top_k_categorical_accuracy: 0.8972 6784/15968 [===========>..................] - ETA: 1:50 - loss: 0.0950 - top_k_categorical_accuracy: 0.8973 6816/15968 [===========>..................] - ETA: 1:49 - loss: 0.0951 - top_k_categorical_accuracy: 0.8972 6848/15968 [===========>..................] - ETA: 1:49 - loss: 0.0950 - top_k_categorical_accuracy: 0.8975 6880/15968 [===========>..................] - ETA: 1:49 - loss: 0.0949 - top_k_categorical_accuracy: 0.8977 6912/15968 [===========>..................] - ETA: 1:48 - loss: 0.0948 - top_k_categorical_accuracy: 0.8974 6944/15968 [============>.................] - ETA: 1:48 - loss: 0.0946 - top_k_categorical_accuracy: 0.8978 6976/15968 [============>.................] - ETA: 1:47 - loss: 0.0946 - top_k_categorical_accuracy: 0.8976 7008/15968 [============>.................] - ETA: 1:47 - loss: 0.0946 - top_k_categorical_accuracy: 0.8974 7040/15968 [============>.................] - ETA: 1:47 - loss: 0.0946 - top_k_categorical_accuracy: 0.8974 7072/15968 [============>.................] - ETA: 1:46 - loss: 0.0946 - top_k_categorical_accuracy: 0.8973 7104/15968 [============>.................] - ETA: 1:46 - loss: 0.0945 - top_k_categorical_accuracy: 0.8974 7136/15968 [============>.................] - ETA: 1:45 - loss: 0.0944 - top_k_categorical_accuracy: 0.8976 7168/15968 [============>.................] - ETA: 1:45 - loss: 0.0944 - top_k_categorical_accuracy: 0.8976 7200/15968 [============>.................] - ETA: 1:45 - loss: 0.0945 - top_k_categorical_accuracy: 0.8972INFO 29-May 07:38:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 7232/15968 [============>.................] - ETA: 1:44 - loss: 0.0943 - top_k_categorical_accuracy: 0.8977 7264/15968 [============>.................] - ETA: 1:44 - loss: 0.0942 - top_k_categorical_accuracy: 0.8977 7296/15968 [============>.................] - ETA: 1:44 - loss: 0.0944 - top_k_categorical_accuracy: 0.8978 7328/15968 [============>.................] - ETA: 1:43 - loss: 0.0942 - top_k_categorical_accuracy: 0.8981 7360/15968 [============>.................] - ETA: 1:43 - loss: 0.0942 - top_k_categorical_accuracy: 0.8985 7392/15968 [============>.................] - ETA: 1:42 - loss: 0.0942 - top_k_categorical_accuracy: 0.8985 7424/15968 [============>.................] - ETA: 1:42 - loss: 0.0941 - top_k_categorical_accuracy: 0.8986 7456/15968 [=============>................] - ETA: 1:42 - loss: 0.0942 - top_k_categorical_accuracy: 0.8985 7488/15968 [=============>................] - ETA: 1:41 - loss: 0.0941 - top_k_categorical_accuracy: 0.8980 7520/15968 [=============>................] - ETA: 1:41 - loss: 0.0942 - top_k_categorical_accuracy: 0.8977 7552/15968 [=============>................] - ETA: 1:41 - loss: 0.0941 - top_k_categorical_accuracy: 0.8979 7584/15968 [=============>................] - ETA: 1:40 - loss: 0.0941 - top_k_categorical_accuracy: 0.8979 7616/15968 [=============>................] - ETA: 1:40 - loss: 0.0941 - top_k_categorical_accuracy: 0.8980 7648/15968 [=============>................] - ETA: 1:39 - loss: 0.0941 - top_k_categorical_accuracy: 0.8980 7680/15968 [=============>................] - ETA: 1:39 - loss: 0.0942 - top_k_categorical_accuracy: 0.8977INFO 29-May 07:39:05 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 7712/15968 [=============>................] - ETA: 1:39 - loss: 0.0941 - top_k_categorical_accuracy: 0.8980 7744/15968 [=============>................] - ETA: 1:38 - loss: 0.0941 - top_k_categorical_accuracy: 0.8980 7776/15968 [=============>................] - ETA: 1:38 - loss: 0.0941 - top_k_categorical_accuracy: 0.8981 7808/15968 [=============>................] - ETA: 1:37 - loss: 0.0940 - top_k_categorical_accuracy: 0.8982 7840/15968 [=============>................] - 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ETA: 1:33 - loss: 0.0941 - top_k_categorical_accuracy: 0.8977 8192/15968 [==============>...............] - ETA: 1:33 - loss: 0.0941 - top_k_categorical_accuracy: 0.8976INFO 29-May 07:39:11 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 8224/15968 [==============>...............] - ETA: 1:32 - loss: 0.0942 - top_k_categorical_accuracy: 0.8976 8256/15968 [==============>...............] - ETA: 1:32 - loss: 0.0943 - top_k_categorical_accuracy: 0.8975 8288/15968 [==============>...............] - ETA: 1:32 - loss: 0.0943 - top_k_categorical_accuracy: 0.8973 8320/15968 [==============>...............] - ETA: 1:31 - loss: 0.0944 - top_k_categorical_accuracy: 0.8972 8352/15968 [==============>...............] - ETA: 1:31 - loss: 0.0944 - top_k_categorical_accuracy: 0.8973 8384/15968 [==============>...............] - ETA: 1:30 - loss: 0.0945 - top_k_categorical_accuracy: 0.8972 8416/15968 [==============>...............] - ETA: 1:30 - loss: 0.0945 - top_k_categorical_accuracy: 0.8969 8448/15968 [==============>...............] - 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ETA: 1:26 - loss: 0.0946 - top_k_categorical_accuracy: 0.8978 8768/15968 [===============>..............] - ETA: 1:26 - loss: 0.0946 - top_k_categorical_accuracy: 0.8977 8800/15968 [===============>..............] - ETA: 1:26 - loss: 0.0945 - top_k_categorical_accuracy: 0.8981 8832/15968 [===============>..............] - ETA: 1:25 - loss: 0.0944 - top_k_categorical_accuracy: 0.8982 8864/15968 [===============>..............] - ETA: 1:25 - loss: 0.0944 - top_k_categorical_accuracy: 0.8982 8896/15968 [===============>..............] - ETA: 1:24 - loss: 0.0944 - top_k_categorical_accuracy: 0.8985 8928/15968 [===============>..............] - ETA: 1:24 - loss: 0.0944 - top_k_categorical_accuracy: 0.8982 8960/15968 [===============>..............] - ETA: 1:24 - loss: 0.0945 - top_k_categorical_accuracy: 0.8980 8992/15968 [===============>..............] - ETA: 1:23 - loss: 0.0944 - top_k_categorical_accuracy: 0.8981 9024/15968 [===============>..............] - ETA: 1:23 - loss: 0.0944 - top_k_categorical_accuracy: 0.8985 9056/15968 [================>.............] - ETA: 1:22 - loss: 0.0945 - top_k_categorical_accuracy: 0.8984 9088/15968 [================>.............] - ETA: 1:22 - loss: 0.0944 - top_k_categorical_accuracy: 0.8984 9120/15968 [================>.............] - ETA: 1:22 - loss: 0.0945 - top_k_categorical_accuracy: 0.8982 9152/15968 [================>.............] - ETA: 1:21 - loss: 0.0946 - top_k_categorical_accuracy: 0.8979 9184/15968 [================>.............] - ETA: 1:21 - loss: 0.0946 - top_k_categorical_accuracy: 0.8981INFO 29-May 07:39:23 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 9216/15968 [================>.............] - ETA: 1:21 - loss: 0.0946 - top_k_categorical_accuracy: 0.8981 9248/15968 [================>.............] - ETA: 1:20 - loss: 0.0946 - top_k_categorical_accuracy: 0.8980 9280/15968 [================>.............] - ETA: 1:20 - loss: 0.0946 - top_k_categorical_accuracy: 0.8980 9312/15968 [================>.............] - ETA: 1:19 - loss: 0.0946 - top_k_categorical_accuracy: 0.8981 9344/15968 [================>.............] - 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ETA: 1:15 - loss: 0.0944 - top_k_categorical_accuracy: 0.8983 9696/15968 [=================>............] - ETA: 1:15 - loss: 0.0944 - top_k_categorical_accuracy: 0.8983INFO 29-May 07:39:29 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 9728/15968 [=================>............] - ETA: 1:14 - loss: 0.0944 - top_k_categorical_accuracy: 0.8981 9760/15968 [=================>............] - ETA: 1:14 - loss: 0.0943 - top_k_categorical_accuracy: 0.8983 9792/15968 [=================>............] - ETA: 1:14 - loss: 0.0944 - top_k_categorical_accuracy: 0.8984 9824/15968 [=================>............] - ETA: 1:13 - loss: 0.0943 - top_k_categorical_accuracy: 0.8986 9856/15968 [=================>............] - ETA: 1:13 - loss: 0.0944 - top_k_categorical_accuracy: 0.8980 9888/15968 [=================>............] - ETA: 1:12 - loss: 0.0944 - top_k_categorical_accuracy: 0.8981 9920/15968 [=================>............] - ETA: 1:12 - loss: 0.0944 - top_k_categorical_accuracy: 0.8981 9952/15968 [=================>............] - ETA: 1:12 - loss: 0.0943 - top_k_categorical_accuracy: 0.8984 9984/15968 [=================>............] - ETA: 1:11 - loss: 0.0942 - top_k_categorical_accuracy: 0.8985 10016/15968 [=================>............] - ETA: 1:11 - loss: 0.0943 - top_k_categorical_accuracy: 0.8987 10048/15968 [=================>............] - ETA: 1:11 - loss: 0.0942 - top_k_categorical_accuracy: 0.8986 10080/15968 [=================>............] - ETA: 1:10 - loss: 0.0942 - top_k_categorical_accuracy: 0.8987 10112/15968 [=================>............] - ETA: 1:10 - loss: 0.0942 - top_k_categorical_accuracy: 0.8987 10144/15968 [==================>...........] - ETA: 1:09 - loss: 0.0941 - top_k_categorical_accuracy: 0.8988 10176/15968 [==================>...........] - ETA: 1:09 - loss: 0.0940 - top_k_categorical_accuracy: 0.8990 10208/15968 [==================>...........] - ETA: 1:09 - loss: 0.0940 - top_k_categorical_accuracy: 0.8990INFO 29-May 07:39:35 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 10240/15968 [==================>...........] - ETA: 1:08 - loss: 0.0940 - top_k_categorical_accuracy: 0.8990 10272/15968 [==================>...........] - ETA: 1:08 - loss: 0.0940 - top_k_categorical_accuracy: 0.8991 10304/15968 [==================>...........] - ETA: 1:07 - loss: 0.0939 - top_k_categorical_accuracy: 0.8992 10336/15968 [==================>...........] - ETA: 1:07 - loss: 0.0939 - top_k_categorical_accuracy: 0.8993 10368/15968 [==================>...........] - ETA: 1:07 - loss: 0.0940 - top_k_categorical_accuracy: 0.8989 10400/15968 [==================>...........] - ETA: 1:06 - loss: 0.0939 - top_k_categorical_accuracy: 0.8990 10432/15968 [==================>...........] - ETA: 1:06 - loss: 0.0939 - top_k_categorical_accuracy: 0.8990 10464/15968 [==================>...........] - ETA: 1:06 - loss: 0.0939 - top_k_categorical_accuracy: 0.8988 10496/15968 [==================>...........] - ETA: 1:05 - loss: 0.0940 - top_k_categorical_accuracy: 0.8987 10528/15968 [==================>...........] - ETA: 1:05 - loss: 0.0940 - 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top_k_categorical_accuracy: 0.9141 288/15968 [..............................] - ETA: 3:09 - loss: 0.0779 - top_k_categorical_accuracy: 0.9132 320/15968 [..............................] - ETA: 3:09 - loss: 0.0800 - top_k_categorical_accuracy: 0.9062 352/15968 [..............................] - ETA: 3:08 - loss: 0.0812 - top_k_categorical_accuracy: 0.9091 384/15968 [..............................] - ETA: 3:08 - loss: 0.0789 - top_k_categorical_accuracy: 0.9141 416/15968 [..............................] - ETA: 3:07 - loss: 0.0798 - top_k_categorical_accuracy: 0.9159 448/15968 [..............................] - ETA: 3:07 - loss: 0.0796 - top_k_categorical_accuracy: 0.9219INFO 29-May 07:40:50 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db 480/15968 [..............................] - ETA: 3:06 - loss: 0.0816 - top_k_categorical_accuracy: 0.9229 512/15968 [..............................] - ETA: 3:06 - loss: 0.0814 - top_k_categorical_accuracy: 0.9199 544/15968 [>.............................] - ETA: 3:05 - loss: 0.0819 - top_k_categorical_accuracy: 0.9210 576/15968 [>.............................] - ETA: 3:05 - loss: 0.0828 - top_k_categorical_accuracy: 0.9201 608/15968 [>.............................] - ETA: 3:05 - loss: 0.0830 - top_k_categorical_accuracy: 0.9194 640/15968 [>.............................] - ETA: 3:04 - loss: 0.0828 - top_k_categorical_accuracy: 0.9203 672/15968 [>.............................] - ETA: 3:04 - loss: 0.0838 - top_k_categorical_accuracy: 0.9182 704/15968 [>.............................] - ETA: 3:04 - loss: 0.0829 - top_k_categorical_accuracy: 0.9219 736/15968 [>.............................] - ETA: 3:04 - loss: 0.0830 - top_k_categorical_accuracy: 0.9226 768/15968 [>.............................] - ETA: 3:03 - loss: 0.0824 - top_k_categorical_accuracy: 0.9245 800/15968 [>.............................] - ETA: 3:03 - loss: 0.0838 - top_k_categorical_accuracy: 0.9250 832/15968 [>.............................] - ETA: 3:02 - loss: 0.0844 - top_k_categorical_accuracy: 0.9219 864/15968 [>.............................] - ETA: 3:02 - loss: 0.0839 - top_k_categorical_accuracy: 0.9225 896/15968 [>.............................] - ETA: 3:01 - loss: 0.0830 - top_k_categorical_accuracy: 0.9241 928/15968 [>.............................] - ETA: 3:01 - loss: 0.0832 - top_k_categorical_accuracy: 0.9256 960/15968 [>.............................] - ETA: 3:01 - loss: 0.0827 - top_k_categorical_accuracy: 0.9260INFO 29-May 07:40:56 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.94ms cal_jobs_db 992/15968 [>.............................] - ETA: 3:00 - loss: 0.0825 - top_k_categorical_accuracy: 0.9264 1024/15968 [>.............................] - ETA: 3:00 - loss: 0.0825 - top_k_categorical_accuracy: 0.9248 1056/15968 [>.............................] - ETA: 2:59 - loss: 0.0834 - top_k_categorical_accuracy: 0.9205 1088/15968 [=>............................] - ETA: 2:59 - loss: 0.0824 - top_k_categorical_accuracy: 0.9219 1120/15968 [=>............................] - ETA: 2:58 - loss: 0.0823 - top_k_categorical_accuracy: 0.9232 1152/15968 [=>............................] - ETA: 2:58 - loss: 0.0826 - top_k_categorical_accuracy: 0.9210 1184/15968 [=>............................] - ETA: 2:57 - loss: 0.0826 - top_k_categorical_accuracy: 0.9206 1216/15968 [=>............................] - ETA: 2:57 - loss: 0.0826 - top_k_categorical_accuracy: 0.9202 1248/15968 [=>............................] - ETA: 2:57 - loss: 0.0824 - top_k_categorical_accuracy: 0.9199 1280/15968 [=>............................] - ETA: 2:56 - loss: 0.0827 - top_k_categorical_accuracy: 0.9195 1312/15968 [=>............................] - ETA: 2:56 - loss: 0.0827 - top_k_categorical_accuracy: 0.9200 1344/15968 [=>............................] - ETA: 2:55 - loss: 0.0830 - top_k_categorical_accuracy: 0.9204 1376/15968 [=>............................] - ETA: 2:55 - loss: 0.0826 - top_k_categorical_accuracy: 0.9215 1408/15968 [=>............................] - ETA: 2:55 - loss: 0.0823 - top_k_categorical_accuracy: 0.9197 1440/15968 [=>............................] - ETA: 2:54 - loss: 0.0818 - top_k_categorical_accuracy: 0.9201 1472/15968 [=>............................] - ETA: 2:54 - loss: 0.0819 - top_k_categorical_accuracy: 0.9212INFO 29-May 07:41:02 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 1504/15968 [=>............................] - ETA: 2:54 - loss: 0.0815 - top_k_categorical_accuracy: 0.9222 1536/15968 [=>............................] - ETA: 2:53 - loss: 0.0816 - top_k_categorical_accuracy: 0.9206 1568/15968 [=>............................] - ETA: 2:53 - loss: 0.0815 - top_k_categorical_accuracy: 0.9216 1600/15968 [==>...........................] - ETA: 2:52 - loss: 0.0816 - top_k_categorical_accuracy: 0.9219 1632/15968 [==>...........................] - ETA: 2:52 - loss: 0.0817 - top_k_categorical_accuracy: 0.9222 1664/15968 [==>...........................] - ETA: 2:52 - loss: 0.0817 - top_k_categorical_accuracy: 0.9219 1696/15968 [==>...........................] - ETA: 2:51 - loss: 0.0816 - top_k_categorical_accuracy: 0.9228 1728/15968 [==>...........................] - ETA: 2:51 - loss: 0.0812 - top_k_categorical_accuracy: 0.9230 1760/15968 [==>...........................] - ETA: 2:50 - loss: 0.0807 - top_k_categorical_accuracy: 0.9239 1792/15968 [==>...........................] - ETA: 2:50 - loss: 0.0807 - top_k_categorical_accuracy: 0.9241 1824/15968 [==>...........................] - ETA: 2:50 - loss: 0.0807 - top_k_categorical_accuracy: 0.9238 1856/15968 [==>...........................] - ETA: 2:49 - loss: 0.0807 - top_k_categorical_accuracy: 0.9240 1888/15968 [==>...........................] - ETA: 2:49 - loss: 0.0810 - top_k_categorical_accuracy: 0.9237 1920/15968 [==>...........................] - ETA: 2:49 - loss: 0.0814 - top_k_categorical_accuracy: 0.9229INFO 29-May 07:41:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 1952/15968 [==>...........................] - ETA: 2:48 - loss: 0.0812 - top_k_categorical_accuracy: 0.9232 1984/15968 [==>...........................] - ETA: 2:48 - loss: 0.0810 - top_k_categorical_accuracy: 0.9224 2016/15968 [==>...........................] - ETA: 2:47 - loss: 0.0812 - top_k_categorical_accuracy: 0.9216 2048/15968 [==>...........................] - ETA: 2:47 - loss: 0.0810 - top_k_categorical_accuracy: 0.9214 2080/15968 [==>...........................] - ETA: 2:47 - loss: 0.0812 - top_k_categorical_accuracy: 0.9221 2112/15968 [==>...........................] - ETA: 2:46 - loss: 0.0810 - top_k_categorical_accuracy: 0.9223 2144/15968 [===>..........................] - ETA: 2:46 - loss: 0.0813 - top_k_categorical_accuracy: 0.9216 2176/15968 [===>..........................] - ETA: 2:45 - loss: 0.0813 - top_k_categorical_accuracy: 0.9219 2208/15968 [===>..........................] - ETA: 2:45 - loss: 0.0813 - top_k_categorical_accuracy: 0.9212 2240/15968 [===>..........................] - ETA: 2:45 - loss: 0.0810 - top_k_categorical_accuracy: 0.9219 2272/15968 [===>..........................] - ETA: 2:44 - loss: 0.0806 - top_k_categorical_accuracy: 0.9230 2304/15968 [===>..........................] - ETA: 2:44 - loss: 0.0806 - top_k_categorical_accuracy: 0.9227 2336/15968 [===>..........................] - ETA: 2:43 - loss: 0.0808 - top_k_categorical_accuracy: 0.9234 2368/15968 [===>..........................] - ETA: 2:43 - loss: 0.0812 - top_k_categorical_accuracy: 0.9231 2400/15968 [===>..........................] - ETA: 2:43 - loss: 0.0815 - top_k_categorical_accuracy: 0.9233 2432/15968 [===>..........................] - ETA: 2:42 - loss: 0.0815 - top_k_categorical_accuracy: 0.9239 2464/15968 [===>..........................] - ETA: 2:42 - loss: 0.0819 - top_k_categorical_accuracy: 0.9241 2496/15968 [===>..........................] - ETA: 2:41 - loss: 0.0824 - top_k_categorical_accuracy: 0.9239 2528/15968 [===>..........................] - ETA: 2:41 - loss: 0.0825 - top_k_categorical_accuracy: 0.9233 2560/15968 [===>..........................] - ETA: 2:41 - loss: 0.0824 - top_k_categorical_accuracy: 0.9234 2592/15968 [===>..........................] - ETA: 2:40 - loss: 0.0823 - top_k_categorical_accuracy: 0.9232 2624/15968 [===>..........................] - ETA: 2:40 - loss: 0.0824 - top_k_categorical_accuracy: 0.9223INFO 29-May 07:41:16 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 2656/15968 [===>..........................] - ETA: 2:40 - loss: 0.0823 - top_k_categorical_accuracy: 0.9221 2688/15968 [====>.........................] - ETA: 2:39 - loss: 0.0824 - top_k_categorical_accuracy: 0.9226 2720/15968 [====>.........................] - ETA: 2:39 - loss: 0.0826 - top_k_categorical_accuracy: 0.9228 2752/15968 [====>.........................] - ETA: 2:38 - loss: 0.0827 - top_k_categorical_accuracy: 0.9222 2784/15968 [====>.........................] - ETA: 2:38 - loss: 0.0824 - top_k_categorical_accuracy: 0.9221 2816/15968 [====>.........................] - ETA: 2:38 - loss: 0.0826 - top_k_categorical_accuracy: 0.9226 2848/15968 [====>.........................] - ETA: 2:37 - loss: 0.0825 - top_k_categorical_accuracy: 0.9228 2880/15968 [====>.........................] - ETA: 2:37 - loss: 0.0822 - top_k_categorical_accuracy: 0.9229 2912/15968 [====>.........................] - ETA: 2:37 - loss: 0.0820 - top_k_categorical_accuracy: 0.9234 2944/15968 [====>.........................] - ETA: 2:36 - loss: 0.0821 - top_k_categorical_accuracy: 0.9232 2976/15968 [====>.........................] - ETA: 2:36 - loss: 0.0823 - top_k_categorical_accuracy: 0.9224 3008/15968 [====>.........................] - ETA: 2:35 - loss: 0.0821 - top_k_categorical_accuracy: 0.9229 3040/15968 [====>.........................] - ETA: 2:35 - loss: 0.0821 - top_k_categorical_accuracy: 0.9234 3072/15968 [====>.........................] - ETA: 2:35 - loss: 0.0822 - top_k_categorical_accuracy: 0.9232 3104/15968 [====>.........................] - ETA: 2:34 - loss: 0.0820 - top_k_categorical_accuracy: 0.9240 3136/15968 [====>.........................] - ETA: 2:34 - loss: 0.0819 - top_k_categorical_accuracy: 0.9241INFO 29-May 07:41:22 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 3168/15968 [====>.........................] - ETA: 2:33 - loss: 0.0818 - top_k_categorical_accuracy: 0.9236 3200/15968 [=====>........................] - ETA: 2:33 - loss: 0.0821 - top_k_categorical_accuracy: 0.9228 3232/15968 [=====>........................] - ETA: 2:33 - loss: 0.0820 - top_k_categorical_accuracy: 0.9233 3264/15968 [=====>........................] - ETA: 2:32 - loss: 0.0818 - top_k_categorical_accuracy: 0.9234 3296/15968 [=====>........................] - ETA: 2:32 - loss: 0.0817 - top_k_categorical_accuracy: 0.9232 3328/15968 [=====>........................] - ETA: 2:32 - loss: 0.0821 - top_k_categorical_accuracy: 0.9234 3360/15968 [=====>........................] - ETA: 2:31 - loss: 0.0821 - top_k_categorical_accuracy: 0.9235 3392/15968 [=====>........................] - ETA: 2:31 - loss: 0.0821 - top_k_categorical_accuracy: 0.9239 3424/15968 [=====>........................] - ETA: 2:30 - loss: 0.0822 - top_k_categorical_accuracy: 0.9232 3456/15968 [=====>........................] - ETA: 2:30 - loss: 0.0823 - top_k_categorical_accuracy: 0.9225 3488/15968 [=====>........................] - ETA: 2:30 - loss: 0.0826 - top_k_categorical_accuracy: 0.9223 3520/15968 [=====>........................] - ETA: 2:29 - loss: 0.0824 - top_k_categorical_accuracy: 0.9227 3552/15968 [=====>........................] - ETA: 2:29 - loss: 0.0823 - top_k_categorical_accuracy: 0.9229 3584/15968 [=====>........................] - ETA: 2:28 - loss: 0.0826 - top_k_categorical_accuracy: 0.9230 3616/15968 [=====>........................] - ETA: 2:28 - loss: 0.0825 - top_k_categorical_accuracy: 0.9234INFO 29-May 07:41:28 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 3648/15968 [=====>........................] - ETA: 2:28 - loss: 0.0824 - top_k_categorical_accuracy: 0.9235 3680/15968 [=====>........................] - ETA: 2:27 - loss: 0.0826 - top_k_categorical_accuracy: 0.9234 3712/15968 [=====>........................] - ETA: 2:27 - loss: 0.0827 - top_k_categorical_accuracy: 0.9235 3744/15968 [======>.......................] - ETA: 2:26 - loss: 0.0827 - top_k_categorical_accuracy: 0.9241 3776/15968 [======>.......................] - ETA: 2:26 - loss: 0.0826 - top_k_categorical_accuracy: 0.9243 3808/15968 [======>.......................] - ETA: 2:26 - loss: 0.0825 - top_k_categorical_accuracy: 0.9241 3840/15968 [======>.......................] - ETA: 2:25 - loss: 0.0826 - top_k_categorical_accuracy: 0.9242 3872/15968 [======>.......................] - ETA: 2:25 - loss: 0.0825 - top_k_categorical_accuracy: 0.9246 3904/15968 [======>.......................] - ETA: 2:24 - loss: 0.0824 - top_k_categorical_accuracy: 0.9249 3936/15968 [======>.......................] - ETA: 2:24 - loss: 0.0822 - top_k_categorical_accuracy: 0.9253 3968/15968 [======>.......................] - ETA: 2:24 - loss: 0.0824 - top_k_categorical_accuracy: 0.9259 4000/15968 [======>.......................] - ETA: 2:23 - loss: 0.0826 - top_k_categorical_accuracy: 0.9250 4032/15968 [======>.......................] - ETA: 2:23 - loss: 0.0826 - top_k_categorical_accuracy: 0.9251 4064/15968 [======>.......................] - ETA: 2:23 - loss: 0.0826 - top_k_categorical_accuracy: 0.9247 4096/15968 [======>.......................] - ETA: 2:22 - loss: 0.0827 - top_k_categorical_accuracy: 0.9238 4128/15968 [======>.......................] - ETA: 2:22 - loss: 0.0826 - top_k_categorical_accuracy: 0.9244INFO 29-May 07:41:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db 4160/15968 [======>.......................] - ETA: 2:21 - loss: 0.0827 - top_k_categorical_accuracy: 0.9248 4192/15968 [======>.......................] - ETA: 2:21 - loss: 0.0829 - top_k_categorical_accuracy: 0.9251 4224/15968 [======>.......................] - ETA: 2:21 - loss: 0.0831 - top_k_categorical_accuracy: 0.9252 4256/15968 [======>.......................] - ETA: 2:20 - loss: 0.0832 - top_k_categorical_accuracy: 0.9250 4288/15968 [=======>......................] - ETA: 2:20 - loss: 0.0833 - top_k_categorical_accuracy: 0.9249 4320/15968 [=======>......................] - ETA: 2:20 - loss: 0.0837 - top_k_categorical_accuracy: 0.9241 4352/15968 [=======>......................] - ETA: 2:19 - loss: 0.0837 - top_k_categorical_accuracy: 0.9239 4384/15968 [=======>......................] - ETA: 2:19 - loss: 0.0837 - top_k_categorical_accuracy: 0.9243 4416/15968 [=======>......................] - ETA: 2:18 - loss: 0.0838 - top_k_categorical_accuracy: 0.9246 4448/15968 [=======>......................] - ETA: 2:18 - loss: 0.0837 - top_k_categorical_accuracy: 0.9247 4480/15968 [=======>......................] - ETA: 2:18 - loss: 0.0835 - top_k_categorical_accuracy: 0.9250 4512/15968 [=======>......................] - ETA: 2:17 - loss: 0.0834 - top_k_categorical_accuracy: 0.9253 4544/15968 [=======>......................] - ETA: 2:17 - loss: 0.0832 - top_k_categorical_accuracy: 0.9256 4576/15968 [=======>......................] - ETA: 2:16 - loss: 0.0832 - top_k_categorical_accuracy: 0.9257 4608/15968 [=======>......................] - ETA: 2:16 - loss: 0.0833 - top_k_categorical_accuracy: 0.9258INFO 29-May 07:41:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 4640/15968 [=======>......................] - ETA: 2:16 - loss: 0.0832 - top_k_categorical_accuracy: 0.9261 4672/15968 [=======>......................] - ETA: 2:15 - loss: 0.0834 - top_k_categorical_accuracy: 0.9255 4704/15968 [=======>......................] - ETA: 2:15 - loss: 0.0833 - top_k_categorical_accuracy: 0.9256 4736/15968 [=======>......................] - ETA: 2:15 - loss: 0.0833 - top_k_categorical_accuracy: 0.9257 4768/15968 [=======>......................] - ETA: 2:14 - loss: 0.0834 - top_k_categorical_accuracy: 0.9251 4800/15968 [========>.....................] - ETA: 2:14 - loss: 0.0833 - top_k_categorical_accuracy: 0.9248 4832/15968 [========>.....................] - ETA: 2:13 - loss: 0.0833 - top_k_categorical_accuracy: 0.9245 4864/15968 [========>.....................] - ETA: 2:13 - loss: 0.0835 - top_k_categorical_accuracy: 0.9243 4896/15968 [========>.....................] - ETA: 2:13 - loss: 0.0834 - top_k_categorical_accuracy: 0.9246 4928/15968 [========>.....................] - ETA: 2:12 - loss: 0.0833 - top_k_categorical_accuracy: 0.9249 4960/15968 [========>.....................] - ETA: 2:12 - loss: 0.0832 - top_k_categorical_accuracy: 0.9254 4992/15968 [========>.....................] - ETA: 2:11 - loss: 0.0833 - top_k_categorical_accuracy: 0.9253 5024/15968 [========>.....................] - ETA: 2:11 - loss: 0.0833 - top_k_categorical_accuracy: 0.9258 5056/15968 [========>.....................] - ETA: 2:11 - loss: 0.0833 - top_k_categorical_accuracy: 0.9260 5088/15968 [========>.....................] - ETA: 2:10 - loss: 0.0834 - top_k_categorical_accuracy: 0.9259 5120/15968 [========>.....................] - ETA: 2:10 - loss: 0.0833 - top_k_categorical_accuracy: 0.9262INFO 29-May 07:41:46 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 5152/15968 [========>.....................] - ETA: 2:09 - loss: 0.0832 - top_k_categorical_accuracy: 0.9264 5184/15968 [========>.....................] - ETA: 2:09 - loss: 0.0835 - top_k_categorical_accuracy: 0.9261 5216/15968 [========>.....................] - ETA: 2:09 - loss: 0.0836 - top_k_categorical_accuracy: 0.9260 5248/15968 [========>.....................] - ETA: 2:08 - loss: 0.0837 - top_k_categorical_accuracy: 0.9259 5280/15968 [========>.....................] - ETA: 2:08 - loss: 0.0838 - top_k_categorical_accuracy: 0.9256 5312/15968 [========>.....................] - ETA: 2:08 - loss: 0.0839 - top_k_categorical_accuracy: 0.9255 5344/15968 [=========>....................] - ETA: 2:07 - loss: 0.0840 - top_k_categorical_accuracy: 0.9257 5376/15968 [=========>....................] - ETA: 2:07 - loss: 0.0841 - top_k_categorical_accuracy: 0.9260 5408/15968 [=========>....................] - ETA: 2:06 - loss: 0.0840 - top_k_categorical_accuracy: 0.9262 5440/15968 [=========>....................] - ETA: 2:06 - loss: 0.0839 - top_k_categorical_accuracy: 0.9261 5472/15968 [=========>....................] - ETA: 2:06 - loss: 0.0839 - top_k_categorical_accuracy: 0.9258 5504/15968 [=========>....................] - ETA: 2:05 - loss: 0.0839 - top_k_categorical_accuracy: 0.9262 5536/15968 [=========>....................] - ETA: 2:05 - loss: 0.0838 - top_k_categorical_accuracy: 0.9261 5568/15968 [=========>....................] - ETA: 2:04 - loss: 0.0837 - top_k_categorical_accuracy: 0.9265 5600/15968 [=========>....................] - ETA: 2:04 - loss: 0.0837 - top_k_categorical_accuracy: 0.9264 5632/15968 [=========>....................] - ETA: 2:04 - loss: 0.0838 - top_k_categorical_accuracy: 0.9265INFO 29-May 07:41:52 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 5664/15968 [=========>....................] - ETA: 2:03 - loss: 0.0838 - top_k_categorical_accuracy: 0.9264 5696/15968 [=========>....................] - ETA: 2:03 - loss: 0.0837 - top_k_categorical_accuracy: 0.9263 5728/15968 [=========>....................] - ETA: 2:03 - loss: 0.0838 - top_k_categorical_accuracy: 0.9260 5760/15968 [=========>....................] - ETA: 2:02 - loss: 0.0836 - top_k_categorical_accuracy: 0.9262 5792/15968 [=========>....................] - ETA: 2:02 - loss: 0.0836 - top_k_categorical_accuracy: 0.9265 5824/15968 [=========>....................] - ETA: 2:01 - loss: 0.0838 - top_k_categorical_accuracy: 0.9267 5856/15968 [==========>...................] - ETA: 2:01 - loss: 0.0837 - top_k_categorical_accuracy: 0.9267 5888/15968 [==========>...................] - ETA: 2:01 - loss: 0.0837 - top_k_categorical_accuracy: 0.9270 5920/15968 [==========>...................] - ETA: 2:00 - loss: 0.0837 - top_k_categorical_accuracy: 0.9269 5952/15968 [==========>...................] - ETA: 2:00 - loss: 0.0839 - top_k_categorical_accuracy: 0.9259 5984/15968 [==========>...................] - ETA: 1:59 - loss: 0.0839 - top_k_categorical_accuracy: 0.9261 6016/15968 [==========>...................] - ETA: 1:59 - loss: 0.0839 - top_k_categorical_accuracy: 0.9259 6048/15968 [==========>...................] - ETA: 1:59 - loss: 0.0837 - top_k_categorical_accuracy: 0.9263 6080/15968 [==========>...................] - ETA: 1:58 - loss: 0.0838 - top_k_categorical_accuracy: 0.9260 6112/15968 [==========>...................] - ETA: 1:58 - loss: 0.0838 - top_k_categorical_accuracy: 0.9262INFO 29-May 07:41:58 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 6144/15968 [==========>...................] - ETA: 1:57 - loss: 0.0838 - top_k_categorical_accuracy: 0.9259 6176/15968 [==========>...................] - ETA: 1:57 - loss: 0.0838 - top_k_categorical_accuracy: 0.9258 6208/15968 [==========>...................] - ETA: 1:57 - loss: 0.0839 - top_k_categorical_accuracy: 0.9257 6240/15968 [==========>...................] - ETA: 1:56 - loss: 0.0839 - top_k_categorical_accuracy: 0.9258 6272/15968 [==========>...................] - 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ETA: 1:52 - loss: 0.0841 - top_k_categorical_accuracy: 0.9248 6624/15968 [===========>..................] - ETA: 1:52 - loss: 0.0841 - top_k_categorical_accuracy: 0.9248INFO 29-May 07:42:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 6656/15968 [===========>..................] - ETA: 1:51 - loss: 0.0839 - top_k_categorical_accuracy: 0.9252 6688/15968 [===========>..................] - ETA: 1:51 - loss: 0.0839 - top_k_categorical_accuracy: 0.9254 6720/15968 [===========>..................] - ETA: 1:51 - loss: 0.0840 - top_k_categorical_accuracy: 0.9250 6752/15968 [===========>..................] - ETA: 1:50 - loss: 0.0839 - top_k_categorical_accuracy: 0.9251 6784/15968 [===========>..................] - ETA: 1:50 - loss: 0.0839 - top_k_categorical_accuracy: 0.9250 6816/15968 [===========>..................] - ETA: 1:49 - loss: 0.0841 - top_k_categorical_accuracy: 0.9250 6848/15968 [===========>..................] - ETA: 1:49 - loss: 0.0840 - top_k_categorical_accuracy: 0.9251 6880/15968 [===========>..................] - 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ETA: 1:45 - loss: 0.0841 - top_k_categorical_accuracy: 0.9247 7232/15968 [============>.................] - ETA: 1:44 - loss: 0.0841 - top_k_categorical_accuracy: 0.9248 7264/15968 [============>.................] - ETA: 1:44 - loss: 0.0842 - top_k_categorical_accuracy: 0.9246 7296/15968 [============>.................] - ETA: 1:44 - loss: 0.0843 - top_k_categorical_accuracy: 0.9248INFO 29-May 07:42:12 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 7328/15968 [============>.................] - ETA: 1:43 - loss: 0.0842 - top_k_categorical_accuracy: 0.9247 7360/15968 [============>.................] - ETA: 1:43 - loss: 0.0845 - top_k_categorical_accuracy: 0.9249 7392/15968 [============>.................] - ETA: 1:43 - loss: 0.0845 - top_k_categorical_accuracy: 0.9251 7424/15968 [============>.................] - ETA: 1:42 - loss: 0.0845 - top_k_categorical_accuracy: 0.9250 7456/15968 [=============>................] - ETA: 1:42 - loss: 0.0845 - top_k_categorical_accuracy: 0.9249 7488/15968 [=============>................] - 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ETA: 1:38 - loss: 0.0848 - top_k_categorical_accuracy: 0.9234 7840/15968 [=============>................] - ETA: 1:37 - loss: 0.0847 - top_k_categorical_accuracy: 0.9236 7872/15968 [=============>................] - ETA: 1:37 - loss: 0.0847 - top_k_categorical_accuracy: 0.9237 7904/15968 [=============>................] - ETA: 1:36 - loss: 0.0847 - top_k_categorical_accuracy: 0.9238 7936/15968 [=============>................] - ETA: 1:36 - loss: 0.0847 - top_k_categorical_accuracy: 0.9239 7968/15968 [=============>................] - ETA: 1:36 - loss: 0.0847 - top_k_categorical_accuracy: 0.9238 8000/15968 [==============>...............] - ETA: 1:35 - loss: 0.0846 - top_k_categorical_accuracy: 0.9239 8032/15968 [==============>...............] - ETA: 1:35 - loss: 0.0846 - top_k_categorical_accuracy: 0.9237 8064/15968 [==============>...............] - ETA: 1:34 - loss: 0.0846 - top_k_categorical_accuracy: 0.9237 8096/15968 [==============>...............] - ETA: 1:34 - loss: 0.0846 - top_k_categorical_accuracy: 0.9239 8128/15968 [==============>...............] - ETA: 1:34 - loss: 0.0845 - top_k_categorical_accuracy: 0.9240 8160/15968 [==============>...............] - ETA: 1:33 - loss: 0.0845 - top_k_categorical_accuracy: 0.9241 8192/15968 [==============>...............] - ETA: 1:33 - loss: 0.0844 - top_k_categorical_accuracy: 0.9242 8224/15968 [==============>...............] - ETA: 1:33 - loss: 0.0844 - top_k_categorical_accuracy: 0.9242 8256/15968 [==============>...............] - ETA: 1:32 - loss: 0.0845 - top_k_categorical_accuracy: 0.9241 8288/15968 [==============>...............] - ETA: 1:32 - loss: 0.0845 - top_k_categorical_accuracy: 0.9242INFO 29-May 07:42:24 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 8320/15968 [==============>...............] - ETA: 1:31 - loss: 0.0846 - top_k_categorical_accuracy: 0.9240 8352/15968 [==============>...............] - ETA: 1:31 - loss: 0.0846 - top_k_categorical_accuracy: 0.9242 8384/15968 [==============>...............] - ETA: 1:31 - loss: 0.0846 - top_k_categorical_accuracy: 0.9243 8416/15968 [==============>...............] - 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ETA: 1:26 - loss: 0.0846 - top_k_categorical_accuracy: 0.9248 8768/15968 [===============>..............] - ETA: 1:26 - loss: 0.0847 - top_k_categorical_accuracy: 0.9246INFO 29-May 07:42:30 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 8800/15968 [===============>..............] - ETA: 1:26 - loss: 0.0847 - top_k_categorical_accuracy: 0.9248 8832/15968 [===============>..............] - ETA: 1:25 - loss: 0.0846 - top_k_categorical_accuracy: 0.9248 8864/15968 [===============>..............] - ETA: 1:25 - loss: 0.0847 - top_k_categorical_accuracy: 0.9249 8896/15968 [===============>..............] - ETA: 1:25 - loss: 0.0846 - top_k_categorical_accuracy: 0.9249 8928/15968 [===============>..............] - ETA: 1:24 - loss: 0.0846 - top_k_categorical_accuracy: 0.9248 8960/15968 [===============>..............] - ETA: 1:24 - loss: 0.0846 - top_k_categorical_accuracy: 0.9247 8992/15968 [===============>..............] - ETA: 1:23 - loss: 0.0847 - top_k_categorical_accuracy: 0.9244 9024/15968 [===============>..............] - 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ETA: 1:20 - loss: 0.0844 - top_k_categorical_accuracy: 0.9241 9344/15968 [================>.............] - ETA: 1:19 - loss: 0.0844 - top_k_categorical_accuracy: 0.9239 9376/15968 [================>.............] - ETA: 1:19 - loss: 0.0844 - top_k_categorical_accuracy: 0.9237 9408/15968 [================>.............] - ETA: 1:18 - loss: 0.0843 - top_k_categorical_accuracy: 0.9238 9440/15968 [================>.............] - ETA: 1:18 - loss: 0.0843 - top_k_categorical_accuracy: 0.9240 9472/15968 [================>.............] - ETA: 1:18 - loss: 0.0843 - top_k_categorical_accuracy: 0.9240 9504/15968 [================>.............] - ETA: 1:17 - loss: 0.0843 - top_k_categorical_accuracy: 0.9237 9536/15968 [================>.............] - ETA: 1:17 - loss: 0.0843 - top_k_categorical_accuracy: 0.9233 9568/15968 [================>.............] - ETA: 1:16 - loss: 0.0845 - top_k_categorical_accuracy: 0.9232 9600/15968 [=================>............] - ETA: 1:16 - loss: 0.0844 - top_k_categorical_accuracy: 0.9233 9632/15968 [=================>............] - 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top_k_categorical_accuracy: 0.9231INFO 29-May 07:42:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 10816/15968 [===================>..........] - ETA: 1:01 - loss: 0.0843 - top_k_categorical_accuracy: 0.9232 10848/15968 [===================>..........] - ETA: 1:01 - loss: 0.0843 - top_k_categorical_accuracy: 0.9232 10880/15968 [===================>..........] - ETA: 1:01 - loss: 0.0844 - top_k_categorical_accuracy: 0.9229 10912/15968 [===================>..........] - ETA: 1:00 - loss: 0.0844 - top_k_categorical_accuracy: 0.9228 10944/15968 [===================>..........] - ETA: 1:00 - loss: 0.0845 - top_k_categorical_accuracy: 0.9226 10976/15968 [===================>..........] - ETA: 1:00 - loss: 0.0844 - top_k_categorical_accuracy: 0.9225 11008/15968 [===================>..........] - ETA: 59s - loss: 0.0844 - top_k_categorical_accuracy: 0.9225 11040/15968 [===================>..........] - ETA: 59s - loss: 0.0844 - top_k_categorical_accuracy: 0.9226 11072/15968 [===================>..........] - ETA: 58s - loss: 0.0843 - top_k_categorical_accuracy: 0.9223 11104/15968 [===================>..........] - ETA: 58s - loss: 0.0843 - top_k_categorical_accuracy: 0.9225 11136/15968 [===================>..........] - ETA: 58s - loss: 0.0843 - top_k_categorical_accuracy: 0.9226 11168/15968 [===================>..........] - ETA: 57s - loss: 0.0842 - top_k_categorical_accuracy: 0.9226 11200/15968 [====================>.........] - ETA: 57s - loss: 0.0842 - top_k_categorical_accuracy: 0.9229 11232/15968 [====================>.........] - ETA: 56s - loss: 0.0841 - top_k_categorical_accuracy: 0.9230 11264/15968 [====================>.........] - ETA: 56s - loss: 0.0841 - top_k_categorical_accuracy: 0.9230INFO 29-May 07:43:00 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 11296/15968 [====================>.........] - ETA: 56s - loss: 0.0840 - top_k_categorical_accuracy: 0.9230 11328/15968 [====================>.........] - ETA: 55s - loss: 0.0840 - top_k_categorical_accuracy: 0.9230 11360/15968 [====================>.........] - 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ETA: 3:03 - loss: 0.0737 - top_k_categorical_accuracy: 0.9358 608/15968 [>.............................] - ETA: 3:04 - loss: 0.0731 - top_k_categorical_accuracy: 0.9391 640/15968 [>.............................] - ETA: 3:03 - loss: 0.0736 - top_k_categorical_accuracy: 0.9406 672/15968 [>.............................] - ETA: 3:03 - loss: 0.0732 - top_k_categorical_accuracy: 0.9420 704/15968 [>.............................] - ETA: 3:03 - loss: 0.0737 - top_k_categorical_accuracy: 0.9389 736/15968 [>.............................] - ETA: 3:02 - loss: 0.0738 - top_k_categorical_accuracy: 0.9375 768/15968 [>.............................] - ETA: 3:02 - loss: 0.0736 - top_k_categorical_accuracy: 0.9388 800/15968 [>.............................] - ETA: 3:01 - loss: 0.0730 - top_k_categorical_accuracy: 0.9387 832/15968 [>.............................] - ETA: 3:01 - loss: 0.0727 - top_k_categorical_accuracy: 0.9399 864/15968 [>.............................] - ETA: 3:01 - loss: 0.0730 - top_k_categorical_accuracy: 0.9387 896/15968 [>.............................] - ETA: 3:01 - loss: 0.0729 - top_k_categorical_accuracy: 0.9408 928/15968 [>.............................] - ETA: 3:00 - loss: 0.0735 - top_k_categorical_accuracy: 0.9386 960/15968 [>.............................] - ETA: 3:00 - loss: 0.0736 - top_k_categorical_accuracy: 0.9396 992/15968 [>.............................] - ETA: 2:59 - loss: 0.0728 - top_k_categorical_accuracy: 0.9415 1024/15968 [>.............................] - ETA: 2:59 - loss: 0.0739 - top_k_categorical_accuracy: 0.9404 1056/15968 [>.............................] - ETA: 2:58 - loss: 0.0745 - top_k_categorical_accuracy: 0.9384INFO 29-May 07:44:09 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.90ms cal_jobs_db 1088/15968 [=>............................] - ETA: 2:58 - loss: 0.0749 - top_k_categorical_accuracy: 0.9384 1120/15968 [=>............................] - ETA: 2:57 - loss: 0.0746 - top_k_categorical_accuracy: 0.9402 1152/15968 [=>............................] - ETA: 2:57 - loss: 0.0740 - top_k_categorical_accuracy: 0.9401 1184/15968 [=>............................] - ETA: 2:57 - loss: 0.0742 - top_k_categorical_accuracy: 0.9400 1216/15968 [=>............................] - ETA: 2:56 - loss: 0.0737 - top_k_categorical_accuracy: 0.9416 1248/15968 [=>............................] - ETA: 2:56 - loss: 0.0733 - top_k_categorical_accuracy: 0.9407 1280/15968 [=>............................] - ETA: 2:55 - loss: 0.0724 - top_k_categorical_accuracy: 0.9422 1312/15968 [=>............................] - ETA: 2:55 - loss: 0.0727 - top_k_categorical_accuracy: 0.9421 1344/15968 [=>............................] - ETA: 2:55 - loss: 0.0728 - top_k_categorical_accuracy: 0.9435 1376/15968 [=>............................] - ETA: 2:54 - loss: 0.0728 - top_k_categorical_accuracy: 0.9440 1408/15968 [=>............................] - ETA: 2:54 - loss: 0.0727 - top_k_categorical_accuracy: 0.9446 1440/15968 [=>............................] - ETA: 2:54 - loss: 0.0724 - top_k_categorical_accuracy: 0.9451 1472/15968 [=>............................] - ETA: 2:53 - loss: 0.0723 - top_k_categorical_accuracy: 0.9450 1504/15968 [=>............................] - ETA: 2:53 - loss: 0.0726 - top_k_categorical_accuracy: 0.9448 1536/15968 [=>............................] - ETA: 2:52 - loss: 0.0731 - top_k_categorical_accuracy: 0.9440INFO 29-May 07:44:15 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 1568/15968 [=>............................] - ETA: 2:52 - loss: 0.0737 - top_k_categorical_accuracy: 0.9439 1600/15968 [==>...........................] - ETA: 2:51 - loss: 0.0736 - top_k_categorical_accuracy: 0.9431 1632/15968 [==>...........................] - ETA: 2:51 - loss: 0.0742 - top_k_categorical_accuracy: 0.9430 1664/15968 [==>...........................] - ETA: 2:51 - loss: 0.0742 - top_k_categorical_accuracy: 0.9435 1696/15968 [==>...........................] - ETA: 2:50 - loss: 0.0742 - top_k_categorical_accuracy: 0.9422 1728/15968 [==>...........................] - ETA: 2:50 - loss: 0.0737 - top_k_categorical_accuracy: 0.9427 1760/15968 [==>...........................] - ETA: 2:50 - loss: 0.0737 - top_k_categorical_accuracy: 0.9432 1792/15968 [==>...........................] - ETA: 2:49 - loss: 0.0736 - top_k_categorical_accuracy: 0.9420 1824/15968 [==>...........................] - ETA: 2:49 - loss: 0.0737 - top_k_categorical_accuracy: 0.9424 1856/15968 [==>...........................] - ETA: 2:48 - loss: 0.0738 - top_k_categorical_accuracy: 0.9407 1888/15968 [==>...........................] - ETA: 2:48 - loss: 0.0739 - top_k_categorical_accuracy: 0.9407 1920/15968 [==>...........................] - ETA: 2:48 - loss: 0.0741 - top_k_categorical_accuracy: 0.9417 1952/15968 [==>...........................] - ETA: 2:47 - loss: 0.0744 - top_k_categorical_accuracy: 0.9411 1984/15968 [==>...........................] - ETA: 2:47 - loss: 0.0745 - top_k_categorical_accuracy: 0.9415 2016/15968 [==>...........................] - ETA: 2:46 - loss: 0.0745 - top_k_categorical_accuracy: 0.9415 2048/15968 [==>...........................] - ETA: 2:46 - loss: 0.0747 - top_k_categorical_accuracy: 0.9414INFO 29-May 07:44:21 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 2080/15968 [==>...........................] - ETA: 2:46 - loss: 0.0748 - top_k_categorical_accuracy: 0.9413 2112/15968 [==>...........................] - ETA: 2:45 - loss: 0.0752 - top_k_categorical_accuracy: 0.9418 2144/15968 [===>..........................] - ETA: 2:45 - loss: 0.0753 - top_k_categorical_accuracy: 0.9417 2176/15968 [===>..........................] - ETA: 2:44 - loss: 0.0752 - top_k_categorical_accuracy: 0.9421 2208/15968 [===>..........................] - ETA: 2:44 - loss: 0.0749 - top_k_categorical_accuracy: 0.9425 2240/15968 [===>..........................] - ETA: 2:44 - loss: 0.0752 - top_k_categorical_accuracy: 0.9411 2272/15968 [===>..........................] - ETA: 2:43 - loss: 0.0750 - top_k_categorical_accuracy: 0.9415 2304/15968 [===>..........................] - ETA: 2:43 - loss: 0.0752 - top_k_categorical_accuracy: 0.9410 2336/15968 [===>..........................] - ETA: 2:43 - loss: 0.0752 - top_k_categorical_accuracy: 0.9409 2368/15968 [===>..........................] - ETA: 2:42 - loss: 0.0752 - top_k_categorical_accuracy: 0.9405 2400/15968 [===>..........................] - ETA: 2:42 - loss: 0.0750 - top_k_categorical_accuracy: 0.9408 2432/15968 [===>..........................] - ETA: 2:41 - loss: 0.0747 - top_k_categorical_accuracy: 0.9412 2464/15968 [===>..........................] - ETA: 2:41 - loss: 0.0747 - top_k_categorical_accuracy: 0.9420 2496/15968 [===>..........................] - ETA: 2:40 - loss: 0.0746 - top_k_categorical_accuracy: 0.9415 2528/15968 [===>..........................] - ETA: 2:40 - loss: 0.0746 - top_k_categorical_accuracy: 0.9411 2560/15968 [===>..........................] - ETA: 2:40 - loss: 0.0745 - top_k_categorical_accuracy: 0.9414INFO 29-May 07:44:27 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 2592/15968 [===>..........................] - ETA: 2:39 - loss: 0.0743 - top_k_categorical_accuracy: 0.9417 2624/15968 [===>..........................] - ETA: 2:39 - loss: 0.0741 - top_k_categorical_accuracy: 0.9421 2656/15968 [===>..........................] - ETA: 2:39 - loss: 0.0744 - top_k_categorical_accuracy: 0.9420 2688/15968 [====>.........................] - ETA: 2:38 - loss: 0.0740 - top_k_categorical_accuracy: 0.9427 2720/15968 [====>.........................] - ETA: 2:38 - loss: 0.0741 - top_k_categorical_accuracy: 0.9423 2752/15968 [====>.........................] - ETA: 2:38 - loss: 0.0741 - top_k_categorical_accuracy: 0.9419 2784/15968 [====>.........................] - ETA: 2:37 - loss: 0.0739 - top_k_categorical_accuracy: 0.9425 2816/15968 [====>.........................] - ETA: 2:37 - loss: 0.0741 - top_k_categorical_accuracy: 0.9432 2848/15968 [====>.........................] - ETA: 2:37 - loss: 0.0739 - top_k_categorical_accuracy: 0.9435 2880/15968 [====>.........................] - ETA: 2:36 - loss: 0.0737 - top_k_categorical_accuracy: 0.9441 2912/15968 [====>.........................] - ETA: 2:36 - loss: 0.0733 - top_k_categorical_accuracy: 0.9447 2944/15968 [====>.........................] - ETA: 2:35 - loss: 0.0732 - top_k_categorical_accuracy: 0.9450 2976/15968 [====>.........................] - ETA: 2:35 - loss: 0.0732 - top_k_categorical_accuracy: 0.9449 3008/15968 [====>.........................] - ETA: 2:35 - loss: 0.0736 - top_k_categorical_accuracy: 0.9438 3040/15968 [====>.........................] - ETA: 2:34 - loss: 0.0739 - top_k_categorical_accuracy: 0.9437 3072/15968 [====>.........................] - ETA: 2:34 - loss: 0.0739 - top_k_categorical_accuracy: 0.9437 3104/15968 [====>.........................] - ETA: 2:33 - loss: 0.0738 - top_k_categorical_accuracy: 0.9436 3136/15968 [====>.........................] - ETA: 2:33 - loss: 0.0738 - top_k_categorical_accuracy: 0.9439INFO 29-May 07:44:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 3168/15968 [====>.........................] - ETA: 2:33 - loss: 0.0738 - top_k_categorical_accuracy: 0.9435 3200/15968 [=====>........................] - ETA: 2:32 - loss: 0.0741 - top_k_categorical_accuracy: 0.9428 3232/15968 [=====>........................] - ETA: 2:32 - loss: 0.0741 - top_k_categorical_accuracy: 0.9421 3264/15968 [=====>........................] - ETA: 2:32 - loss: 0.0742 - top_k_categorical_accuracy: 0.9424 3296/15968 [=====>........................] - ETA: 2:31 - loss: 0.0742 - top_k_categorical_accuracy: 0.9424 3328/15968 [=====>........................] - ETA: 2:31 - loss: 0.0740 - top_k_categorical_accuracy: 0.9423 3360/15968 [=====>........................] - ETA: 2:30 - loss: 0.0740 - top_k_categorical_accuracy: 0.9426 3392/15968 [=====>........................] - ETA: 2:30 - loss: 0.0740 - top_k_categorical_accuracy: 0.9425 3424/15968 [=====>........................] - ETA: 2:30 - loss: 0.0739 - top_k_categorical_accuracy: 0.9422 3456/15968 [=====>........................] - ETA: 2:29 - loss: 0.0739 - top_k_categorical_accuracy: 0.9421 3488/15968 [=====>........................] - ETA: 2:29 - loss: 0.0737 - top_k_categorical_accuracy: 0.9424 3520/15968 [=====>........................] - ETA: 2:29 - loss: 0.0739 - top_k_categorical_accuracy: 0.9423 3552/15968 [=====>........................] - ETA: 2:28 - loss: 0.0739 - top_k_categorical_accuracy: 0.9417 3584/15968 [=====>........................] - ETA: 2:28 - loss: 0.0739 - top_k_categorical_accuracy: 0.9420 3616/15968 [=====>........................] - ETA: 2:28 - loss: 0.0737 - top_k_categorical_accuracy: 0.9419 3648/15968 [=====>........................] - ETA: 2:27 - loss: 0.0736 - top_k_categorical_accuracy: 0.9419INFO 29-May 07:44:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 3680/15968 [=====>........................] - ETA: 2:27 - loss: 0.0735 - top_k_categorical_accuracy: 0.9418 3712/15968 [=====>........................] - ETA: 2:26 - loss: 0.0737 - top_k_categorical_accuracy: 0.9415 3744/15968 [======>.......................] - ETA: 2:26 - loss: 0.0739 - top_k_categorical_accuracy: 0.9410 3776/15968 [======>.......................] - ETA: 2:26 - loss: 0.0738 - top_k_categorical_accuracy: 0.9409 3808/15968 [======>.......................] - ETA: 2:25 - loss: 0.0739 - top_k_categorical_accuracy: 0.9412 3840/15968 [======>.......................] - ETA: 2:25 - loss: 0.0738 - top_k_categorical_accuracy: 0.9417 3872/15968 [======>.......................] - ETA: 2:25 - loss: 0.0739 - top_k_categorical_accuracy: 0.9419 3904/15968 [======>.......................] - ETA: 2:24 - loss: 0.0738 - top_k_categorical_accuracy: 0.9419 3936/15968 [======>.......................] - ETA: 2:24 - loss: 0.0735 - top_k_categorical_accuracy: 0.9423 3968/15968 [======>.......................] - ETA: 2:24 - loss: 0.0736 - top_k_categorical_accuracy: 0.9423 4000/15968 [======>.......................] - ETA: 2:23 - loss: 0.0737 - top_k_categorical_accuracy: 0.9423 4032/15968 [======>.......................] - ETA: 2:23 - loss: 0.0738 - top_k_categorical_accuracy: 0.9425 4064/15968 [======>.......................] - ETA: 2:22 - loss: 0.0738 - top_k_categorical_accuracy: 0.9424 4096/15968 [======>.......................] - ETA: 2:22 - loss: 0.0738 - top_k_categorical_accuracy: 0.9424 4128/15968 [======>.......................] - ETA: 2:22 - loss: 0.0737 - top_k_categorical_accuracy: 0.9421INFO 29-May 07:44:46 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 4160/15968 [======>.......................] - ETA: 2:21 - loss: 0.0736 - top_k_categorical_accuracy: 0.9423 4192/15968 [======>.......................] - ETA: 2:21 - loss: 0.0738 - top_k_categorical_accuracy: 0.9420 4224/15968 [======>.......................] - ETA: 2:21 - loss: 0.0738 - top_k_categorical_accuracy: 0.9422 4256/15968 [======>.......................] - ETA: 2:20 - loss: 0.0739 - top_k_categorical_accuracy: 0.9424 4288/15968 [=======>......................] - ETA: 2:20 - loss: 0.0739 - top_k_categorical_accuracy: 0.9424 4320/15968 [=======>......................] - ETA: 2:19 - loss: 0.0740 - top_k_categorical_accuracy: 0.9421 4352/15968 [=======>......................] - ETA: 2:19 - loss: 0.0738 - top_k_categorical_accuracy: 0.9423 4384/15968 [=======>......................] - ETA: 2:19 - loss: 0.0737 - top_k_categorical_accuracy: 0.9423 4416/15968 [=======>......................] - ETA: 2:18 - loss: 0.0737 - top_k_categorical_accuracy: 0.9427 4448/15968 [=======>......................] - ETA: 2:18 - loss: 0.0736 - top_k_categorical_accuracy: 0.9429 4480/15968 [=======>......................] - ETA: 2:17 - loss: 0.0735 - top_k_categorical_accuracy: 0.9426 4512/15968 [=======>......................] - ETA: 2:17 - loss: 0.0735 - top_k_categorical_accuracy: 0.9430 4544/15968 [=======>......................] - ETA: 2:17 - loss: 0.0734 - top_k_categorical_accuracy: 0.9432 4576/15968 [=======>......................] - ETA: 2:16 - loss: 0.0736 - top_k_categorical_accuracy: 0.9432 4608/15968 [=======>......................] - ETA: 2:16 - loss: 0.0736 - top_k_categorical_accuracy: 0.9431 4640/15968 [=======>......................] - ETA: 2:15 - loss: 0.0735 - top_k_categorical_accuracy: 0.9435INFO 29-May 07:44:52 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.97ms cal_jobs_db 4672/15968 [=======>......................] - ETA: 2:15 - loss: 0.0734 - top_k_categorical_accuracy: 0.9439 4704/15968 [=======>......................] - ETA: 2:15 - loss: 0.0734 - top_k_categorical_accuracy: 0.9441 4736/15968 [=======>......................] - ETA: 2:14 - loss: 0.0732 - top_k_categorical_accuracy: 0.9445 4768/15968 [=======>......................] - ETA: 2:14 - loss: 0.0731 - top_k_categorical_accuracy: 0.9446 4800/15968 [========>.....................] - ETA: 2:14 - loss: 0.0731 - top_k_categorical_accuracy: 0.9444 4832/15968 [========>.....................] - ETA: 2:13 - loss: 0.0732 - top_k_categorical_accuracy: 0.9443 4864/15968 [========>.....................] - ETA: 2:13 - loss: 0.0731 - top_k_categorical_accuracy: 0.9445 4896/15968 [========>.....................] - ETA: 2:12 - loss: 0.0730 - top_k_categorical_accuracy: 0.9446 4928/15968 [========>.....................] - ETA: 2:12 - loss: 0.0729 - top_k_categorical_accuracy: 0.9448 4960/15968 [========>.....................] - ETA: 2:12 - loss: 0.0729 - top_k_categorical_accuracy: 0.9450 4992/15968 [========>.....................] - ETA: 2:11 - loss: 0.0731 - top_k_categorical_accuracy: 0.9445 5024/15968 [========>.....................] - ETA: 2:11 - loss: 0.0732 - top_k_categorical_accuracy: 0.9443 5056/15968 [========>.....................] - ETA: 2:11 - loss: 0.0733 - top_k_categorical_accuracy: 0.9442 5088/15968 [========>.....................] - ETA: 2:10 - loss: 0.0734 - top_k_categorical_accuracy: 0.9442 5120/15968 [========>.....................] - ETA: 2:10 - loss: 0.0734 - top_k_categorical_accuracy: 0.9441INFO 29-May 07:44:58 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 5152/15968 [========>.....................] - ETA: 2:09 - loss: 0.0736 - top_k_categorical_accuracy: 0.9443 5184/15968 [========>.....................] - ETA: 2:09 - loss: 0.0737 - top_k_categorical_accuracy: 0.9443 5216/15968 [========>.....................] - ETA: 2:09 - loss: 0.0738 - top_k_categorical_accuracy: 0.9440 5248/15968 [========>.....................] - ETA: 2:08 - loss: 0.0740 - top_k_categorical_accuracy: 0.9442 5280/15968 [========>.....................] - ETA: 2:08 - loss: 0.0739 - top_k_categorical_accuracy: 0.9439 5312/15968 [========>.....................] - ETA: 2:08 - loss: 0.0739 - top_k_categorical_accuracy: 0.9439 5344/15968 [=========>....................] - ETA: 2:07 - loss: 0.0739 - top_k_categorical_accuracy: 0.9439 5376/15968 [=========>....................] - ETA: 2:07 - loss: 0.0739 - top_k_categorical_accuracy: 0.9438 5408/15968 [=========>....................] - ETA: 2:06 - loss: 0.0740 - top_k_categorical_accuracy: 0.9440 5440/15968 [=========>....................] - ETA: 2:06 - loss: 0.0739 - top_k_categorical_accuracy: 0.9443 5472/15968 [=========>....................] - ETA: 2:06 - loss: 0.0739 - top_k_categorical_accuracy: 0.9443 5504/15968 [=========>....................] - ETA: 2:05 - loss: 0.0740 - top_k_categorical_accuracy: 0.9439 5536/15968 [=========>....................] - ETA: 2:05 - loss: 0.0739 - top_k_categorical_accuracy: 0.9436 5568/15968 [=========>....................] - ETA: 2:04 - loss: 0.0741 - top_k_categorical_accuracy: 0.9436 5600/15968 [=========>....................] - ETA: 2:04 - loss: 0.0741 - top_k_categorical_accuracy: 0.9436 5632/15968 [=========>....................] - ETA: 2:04 - loss: 0.0740 - top_k_categorical_accuracy: 0.9437INFO 29-May 07:45:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 5664/15968 [=========>....................] - ETA: 2:03 - loss: 0.0740 - top_k_categorical_accuracy: 0.9437 5696/15968 [=========>....................] - ETA: 2:03 - loss: 0.0742 - top_k_categorical_accuracy: 0.9435 5728/15968 [=========>....................] - ETA: 2:03 - loss: 0.0741 - top_k_categorical_accuracy: 0.9433 5760/15968 [=========>....................] - ETA: 2:02 - loss: 0.0743 - top_k_categorical_accuracy: 0.9434 5792/15968 [=========>....................] - ETA: 2:02 - loss: 0.0743 - top_k_categorical_accuracy: 0.9435 5824/15968 [=========>....................] - ETA: 2:02 - loss: 0.0742 - top_k_categorical_accuracy: 0.9437 5856/15968 [==========>...................] - ETA: 2:01 - loss: 0.0741 - top_k_categorical_accuracy: 0.9436 5888/15968 [==========>...................] - ETA: 2:01 - loss: 0.0740 - top_k_categorical_accuracy: 0.9440 5920/15968 [==========>...................] - ETA: 2:00 - loss: 0.0740 - top_k_categorical_accuracy: 0.9437 5952/15968 [==========>...................] - ETA: 2:00 - loss: 0.0741 - top_k_categorical_accuracy: 0.9430 5984/15968 [==========>...................] - ETA: 2:00 - loss: 0.0740 - top_k_categorical_accuracy: 0.9433 6016/15968 [==========>...................] - ETA: 1:59 - loss: 0.0742 - top_k_categorical_accuracy: 0.9432 6048/15968 [==========>...................] - ETA: 1:59 - loss: 0.0742 - top_k_categorical_accuracy: 0.9431 6080/15968 [==========>...................] - ETA: 1:58 - loss: 0.0742 - top_k_categorical_accuracy: 0.9429 6112/15968 [==========>...................] - ETA: 1:58 - loss: 0.0741 - top_k_categorical_accuracy: 0.9432INFO 29-May 07:45:10 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 6144/15968 [==========>...................] - ETA: 1:58 - loss: 0.0741 - top_k_categorical_accuracy: 0.9432 6176/15968 [==========>...................] - ETA: 1:57 - loss: 0.0742 - top_k_categorical_accuracy: 0.9427 6208/15968 [==========>...................] - ETA: 1:57 - loss: 0.0742 - top_k_categorical_accuracy: 0.9422 6240/15968 [==========>...................] - ETA: 1:56 - loss: 0.0741 - top_k_categorical_accuracy: 0.9425 6272/15968 [==========>...................] - ETA: 1:56 - loss: 0.0742 - top_k_categorical_accuracy: 0.9423 6304/15968 [==========>...................] - 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ETA: 1:52 - loss: 0.0744 - top_k_categorical_accuracy: 0.9428 6656/15968 [===========>..................] - ETA: 1:51 - loss: 0.0744 - top_k_categorical_accuracy: 0.9426 6688/15968 [===========>..................] - ETA: 1:51 - loss: 0.0744 - top_k_categorical_accuracy: 0.9423INFO 29-May 07:45:17 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 6720/15968 [===========>..................] - ETA: 1:51 - loss: 0.0745 - top_k_categorical_accuracy: 0.9423 6752/15968 [===========>..................] - ETA: 1:50 - loss: 0.0745 - top_k_categorical_accuracy: 0.9424 6784/15968 [===========>..................] - ETA: 1:50 - loss: 0.0745 - top_k_categorical_accuracy: 0.9422 6816/15968 [===========>..................] - ETA: 1:49 - loss: 0.0745 - top_k_categorical_accuracy: 0.9420 6848/15968 [===========>..................] - ETA: 1:49 - loss: 0.0745 - top_k_categorical_accuracy: 0.9419 6880/15968 [===========>..................] - ETA: 1:49 - loss: 0.0746 - top_k_categorical_accuracy: 0.9419 6912/15968 [===========>..................] - ETA: 1:48 - loss: 0.0745 - top_k_categorical_accuracy: 0.9421 6944/15968 [============>.................] - ETA: 1:48 - loss: 0.0746 - top_k_categorical_accuracy: 0.9421 6976/15968 [============>.................] - ETA: 1:48 - loss: 0.0746 - top_k_categorical_accuracy: 0.9419 7008/15968 [============>.................] - ETA: 1:47 - loss: 0.0746 - top_k_categorical_accuracy: 0.9419 7040/15968 [============>.................] - ETA: 1:47 - loss: 0.0746 - top_k_categorical_accuracy: 0.9420 7072/15968 [============>.................] - ETA: 1:46 - loss: 0.0746 - top_k_categorical_accuracy: 0.9422 7104/15968 [============>.................] - ETA: 1:46 - loss: 0.0746 - top_k_categorical_accuracy: 0.9420 7136/15968 [============>.................] - ETA: 1:46 - loss: 0.0747 - top_k_categorical_accuracy: 0.9418 7168/15968 [============>.................] - ETA: 1:45 - loss: 0.0749 - top_k_categorical_accuracy: 0.9418 7200/15968 [============>.................] - ETA: 1:45 - loss: 0.0748 - top_k_categorical_accuracy: 0.9419INFO 29-May 07:45:23 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.18ms cal_jobs_db 7232/15968 [============>.................] - ETA: 1:44 - loss: 0.0748 - top_k_categorical_accuracy: 0.9422 7264/15968 [============>.................] - ETA: 1:44 - loss: 0.0748 - top_k_categorical_accuracy: 0.9418 7296/15968 [============>.................] - ETA: 1:44 - loss: 0.0749 - top_k_categorical_accuracy: 0.9415 7328/15968 [============>.................] - ETA: 1:43 - loss: 0.0750 - top_k_categorical_accuracy: 0.9415 7360/15968 [============>.................] - ETA: 1:43 - loss: 0.0750 - top_k_categorical_accuracy: 0.9413 7392/15968 [============>.................] - ETA: 1:43 - loss: 0.0749 - top_k_categorical_accuracy: 0.9413 7424/15968 [============>.................] - ETA: 1:42 - loss: 0.0750 - top_k_categorical_accuracy: 0.9414 7456/15968 [=============>................] - ETA: 1:42 - loss: 0.0749 - top_k_categorical_accuracy: 0.9417 7488/15968 [=============>................] - ETA: 1:41 - loss: 0.0750 - top_k_categorical_accuracy: 0.9419 7520/15968 [=============>................] - ETA: 1:41 - loss: 0.0749 - top_k_categorical_accuracy: 0.9420 7552/15968 [=============>................] - ETA: 1:41 - loss: 0.0749 - top_k_categorical_accuracy: 0.9421 7584/15968 [=============>................] - ETA: 1:40 - loss: 0.0750 - top_k_categorical_accuracy: 0.9421 7616/15968 [=============>................] - ETA: 1:40 - loss: 0.0751 - top_k_categorical_accuracy: 0.9418 7648/15968 [=============>................] - ETA: 1:39 - loss: 0.0750 - top_k_categorical_accuracy: 0.9419 7680/15968 [=============>................] - ETA: 1:39 - loss: 0.0751 - top_k_categorical_accuracy: 0.9418 7712/15968 [=============>................] - ETA: 1:39 - loss: 0.0753 - top_k_categorical_accuracy: 0.9415INFO 29-May 07:45:29 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 7744/15968 [=============>................] - ETA: 1:38 - loss: 0.0752 - top_k_categorical_accuracy: 0.9416 7776/15968 [=============>................] - ETA: 1:38 - loss: 0.0752 - top_k_categorical_accuracy: 0.9415 7808/15968 [=============>................] - ETA: 1:38 - loss: 0.0751 - top_k_categorical_accuracy: 0.9417 7840/15968 [=============>................] - 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ETA: 1:26 - loss: 0.0748 - top_k_categorical_accuracy: 0.9424 8768/15968 [===============>..............] - ETA: 1:26 - loss: 0.0748 - top_k_categorical_accuracy: 0.9424 8800/15968 [===============>..............] - ETA: 1:26 - loss: 0.0748 - top_k_categorical_accuracy: 0.9424 8832/15968 [===============>..............] - ETA: 1:25 - loss: 0.0748 - top_k_categorical_accuracy: 0.9424 8864/15968 [===============>..............] - ETA: 1:25 - loss: 0.0749 - top_k_categorical_accuracy: 0.9422 8896/15968 [===============>..............] - ETA: 1:24 - loss: 0.0749 - top_k_categorical_accuracy: 0.9422 8928/15968 [===============>..............] - ETA: 1:24 - loss: 0.0749 - top_k_categorical_accuracy: 0.9421 8960/15968 [===============>..............] - ETA: 1:24 - loss: 0.0749 - top_k_categorical_accuracy: 0.9421 8992/15968 [===============>..............] - ETA: 1:23 - loss: 0.0749 - top_k_categorical_accuracy: 0.9421 9024/15968 [===============>..............] - ETA: 1:23 - loss: 0.0749 - top_k_categorical_accuracy: 0.9422 9056/15968 [================>.............] - 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ETA: 1:08 - loss: 0.0749 - top_k_categorical_accuracy: 0.9412 10272/15968 [==================>...........] - ETA: 1:08 - loss: 0.0749 - top_k_categorical_accuracy: 0.9412 10304/15968 [==================>...........] - ETA: 1:08 - loss: 0.0749 - top_k_categorical_accuracy: 0.9413 10336/15968 [==================>...........] - ETA: 1:07 - loss: 0.0749 - top_k_categorical_accuracy: 0.9413 10368/15968 [==================>...........] - ETA: 1:07 - loss: 0.0748 - top_k_categorical_accuracy: 0.9413 10400/15968 [==================>...........] - ETA: 1:06 - loss: 0.0748 - top_k_categorical_accuracy: 0.9413 10432/15968 [==================>...........] - ETA: 1:06 - loss: 0.0748 - top_k_categorical_accuracy: 0.9412 10464/15968 [==================>...........] - ETA: 1:06 - loss: 0.0748 - top_k_categorical_accuracy: 0.9413 10496/15968 [==================>...........] - ETA: 1:05 - loss: 0.0748 - top_k_categorical_accuracy: 0.9412 10528/15968 [==================>...........] - ETA: 1:05 - loss: 0.0748 - 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top_k_categorical_accuracy: 0.9409 11136/15968 [===================>..........] - ETA: 58s - loss: 0.0748 - top_k_categorical_accuracy: 0.9406 11168/15968 [===================>..........] - ETA: 57s - loss: 0.0748 - top_k_categorical_accuracy: 0.9405 11200/15968 [====================>.........] - ETA: 57s - loss: 0.0748 - top_k_categorical_accuracy: 0.9406INFO 29-May 07:46:11 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.93ms cal_jobs_db 11232/15968 [====================>.........] - ETA: 56s - loss: 0.0748 - top_k_categorical_accuracy: 0.9407 11264/15968 [====================>.........] - ETA: 56s - loss: 0.0748 - top_k_categorical_accuracy: 0.9407 11296/15968 [====================>.........] - ETA: 56s - loss: 0.0747 - top_k_categorical_accuracy: 0.9408 11328/15968 [====================>.........] - ETA: 55s - loss: 0.0747 - top_k_categorical_accuracy: 0.9406 11360/15968 [====================>.........] - ETA: 55s - loss: 0.0746 - top_k_categorical_accuracy: 0.9406 11392/15968 [====================>.........] - 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ETA: 3:04 - loss: 0.0641 - top_k_categorical_accuracy: 0.9467 576/15968 [>.............................] - ETA: 3:04 - loss: 0.0658 - top_k_categorical_accuracy: 0.9462 608/15968 [>.............................] - ETA: 3:03 - loss: 0.0662 - top_k_categorical_accuracy: 0.9441 640/15968 [>.............................] - ETA: 3:03 - loss: 0.0661 - top_k_categorical_accuracy: 0.9453 672/15968 [>.............................] - ETA: 3:03 - loss: 0.0654 - top_k_categorical_accuracy: 0.9479 704/15968 [>.............................] - ETA: 3:03 - loss: 0.0659 - top_k_categorical_accuracy: 0.9474 736/15968 [>.............................] - ETA: 3:02 - loss: 0.0659 - top_k_categorical_accuracy: 0.9484 768/15968 [>.............................] - ETA: 3:02 - loss: 0.0653 - top_k_categorical_accuracy: 0.9505 800/15968 [>.............................] - ETA: 3:01 - loss: 0.0648 - top_k_categorical_accuracy: 0.9513INFO 29-May 07:47:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db 832/15968 [>.............................] - ETA: 3:01 - loss: 0.0642 - top_k_categorical_accuracy: 0.9519 864/15968 [>.............................] - ETA: 3:01 - loss: 0.0639 - top_k_categorical_accuracy: 0.9514 896/15968 [>.............................] - ETA: 3:00 - loss: 0.0645 - top_k_categorical_accuracy: 0.9498 928/15968 [>.............................] - ETA: 3:00 - loss: 0.0650 - top_k_categorical_accuracy: 0.9504 960/15968 [>.............................] - ETA: 2:59 - loss: 0.0651 - top_k_categorical_accuracy: 0.9510 992/15968 [>.............................] - ETA: 2:59 - loss: 0.0651 - top_k_categorical_accuracy: 0.9506 1024/15968 [>.............................] - ETA: 2:58 - loss: 0.0645 - top_k_categorical_accuracy: 0.9512 1056/15968 [>.............................] - ETA: 2:58 - loss: 0.0641 - top_k_categorical_accuracy: 0.9527 1088/15968 [=>............................] - ETA: 2:58 - loss: 0.0642 - top_k_categorical_accuracy: 0.9531 1120/15968 [=>............................] - ETA: 2:57 - loss: 0.0645 - top_k_categorical_accuracy: 0.9536 1152/15968 [=>............................] - ETA: 2:57 - loss: 0.0647 - top_k_categorical_accuracy: 0.9531 1184/15968 [=>............................] - ETA: 2:56 - loss: 0.0654 - top_k_categorical_accuracy: 0.9535 1216/15968 [=>............................] - ETA: 2:56 - loss: 0.0653 - top_k_categorical_accuracy: 0.9539 1248/15968 [=>............................] - ETA: 2:56 - loss: 0.0655 - top_k_categorical_accuracy: 0.9527 1280/15968 [=>............................] - ETA: 2:55 - loss: 0.0656 - top_k_categorical_accuracy: 0.9539 1312/15968 [=>............................] - ETA: 2:55 - loss: 0.0672 - top_k_categorical_accuracy: 0.9543 1344/15968 [=>............................] - ETA: 2:54 - loss: 0.0665 - top_k_categorical_accuracy: 0.9546 1376/15968 [=>............................] - ETA: 2:54 - loss: 0.0668 - top_k_categorical_accuracy: 0.9549 1408/15968 [=>............................] - ETA: 2:54 - loss: 0.0674 - top_k_categorical_accuracy: 0.9538 1440/15968 [=>............................] - ETA: 2:53 - loss: 0.0675 - top_k_categorical_accuracy: 0.9549 1472/15968 [=>............................] - ETA: 2:53 - loss: 0.0671 - top_k_categorical_accuracy: 0.9558 1504/15968 [=>............................] - ETA: 2:53 - loss: 0.0672 - top_k_categorical_accuracy: 0.9561 1536/15968 [=>............................] - ETA: 2:52 - loss: 0.0677 - top_k_categorical_accuracy: 0.9570 1568/15968 [=>............................] - ETA: 2:52 - loss: 0.0677 - top_k_categorical_accuracy: 0.9579 1600/15968 [==>...........................] - ETA: 2:51 - loss: 0.0677 - top_k_categorical_accuracy: 0.9587 1632/15968 [==>...........................] - ETA: 2:51 - loss: 0.0677 - top_k_categorical_accuracy: 0.9577 1664/15968 [==>...........................] - ETA: 2:51 - loss: 0.0675 - top_k_categorical_accuracy: 0.9585 1696/15968 [==>...........................] - ETA: 2:50 - loss: 0.0671 - top_k_categorical_accuracy: 0.9581 1728/15968 [==>...........................] - ETA: 2:50 - loss: 0.0673 - top_k_categorical_accuracy: 0.9560 1760/15968 [==>...........................] - ETA: 2:50 - loss: 0.0671 - top_k_categorical_accuracy: 0.9568INFO 29-May 07:47:29 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 1792/15968 [==>...........................] - ETA: 2:49 - loss: 0.0674 - top_k_categorical_accuracy: 0.9565 1824/15968 [==>...........................] - ETA: 2:49 - loss: 0.0675 - top_k_categorical_accuracy: 0.9561 1856/15968 [==>...........................] - ETA: 2:49 - loss: 0.0671 - top_k_categorical_accuracy: 0.9564 1888/15968 [==>...........................] - ETA: 2:48 - loss: 0.0671 - top_k_categorical_accuracy: 0.9566 1920/15968 [==>...........................] - ETA: 2:48 - loss: 0.0670 - top_k_categorical_accuracy: 0.9563 1952/15968 [==>...........................] - ETA: 2:48 - loss: 0.0669 - top_k_categorical_accuracy: 0.9570 1984/15968 [==>...........................] - ETA: 2:47 - loss: 0.0667 - top_k_categorical_accuracy: 0.9572 2016/15968 [==>...........................] - ETA: 2:47 - loss: 0.0669 - top_k_categorical_accuracy: 0.9573 2048/15968 [==>...........................] - ETA: 2:47 - loss: 0.0674 - top_k_categorical_accuracy: 0.9561 2080/15968 [==>...........................] - ETA: 2:46 - loss: 0.0672 - top_k_categorical_accuracy: 0.9567 2112/15968 [==>...........................] - ETA: 2:46 - loss: 0.0673 - top_k_categorical_accuracy: 0.9569 2144/15968 [===>..........................] - ETA: 2:46 - loss: 0.0673 - top_k_categorical_accuracy: 0.9566 2176/15968 [===>..........................] - ETA: 2:45 - loss: 0.0670 - top_k_categorical_accuracy: 0.9573 2208/15968 [===>..........................] - ETA: 2:45 - loss: 0.0671 - top_k_categorical_accuracy: 0.9579INFO 29-May 07:47:35 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 2240/15968 [===>..........................] - ETA: 2:44 - loss: 0.0674 - top_k_categorical_accuracy: 0.9576 2272/15968 [===>..........................] - ETA: 2:44 - loss: 0.0671 - top_k_categorical_accuracy: 0.9577 2304/15968 [===>..........................] - ETA: 2:44 - loss: 0.0668 - top_k_categorical_accuracy: 0.9579 2336/15968 [===>..........................] - ETA: 2:43 - loss: 0.0667 - top_k_categorical_accuracy: 0.9580 2368/15968 [===>..........................] - ETA: 2:43 - loss: 0.0670 - top_k_categorical_accuracy: 0.9586 2400/15968 [===>..........................] - ETA: 2:43 - loss: 0.0668 - top_k_categorical_accuracy: 0.9592 2432/15968 [===>..........................] - ETA: 2:42 - loss: 0.0666 - top_k_categorical_accuracy: 0.9589 2464/15968 [===>..........................] - ETA: 2:42 - loss: 0.0668 - top_k_categorical_accuracy: 0.9578 2496/15968 [===>..........................] - ETA: 2:41 - loss: 0.0673 - top_k_categorical_accuracy: 0.9575 2528/15968 [===>..........................] - ETA: 2:41 - loss: 0.0676 - top_k_categorical_accuracy: 0.9569 2560/15968 [===>..........................] - ETA: 2:41 - loss: 0.0679 - top_k_categorical_accuracy: 0.9566 2592/15968 [===>..........................] - ETA: 2:40 - loss: 0.0676 - top_k_categorical_accuracy: 0.9568 2624/15968 [===>..........................] - ETA: 2:40 - loss: 0.0676 - top_k_categorical_accuracy: 0.9566 2656/15968 [===>..........................] - ETA: 2:39 - loss: 0.0679 - top_k_categorical_accuracy: 0.9563 2688/15968 [====>.........................] - ETA: 2:39 - loss: 0.0680 - top_k_categorical_accuracy: 0.9557 2720/15968 [====>.........................] - ETA: 2:39 - loss: 0.0679 - top_k_categorical_accuracy: 0.9559INFO 29-May 07:47:41 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 2752/15968 [====>.........................] - ETA: 2:38 - loss: 0.0677 - top_k_categorical_accuracy: 0.9560 2784/15968 [====>.........................] - ETA: 2:38 - loss: 0.0678 - top_k_categorical_accuracy: 0.9562 2816/15968 [====>.........................] - ETA: 2:37 - loss: 0.0679 - top_k_categorical_accuracy: 0.9556 2848/15968 [====>.........................] - ETA: 2:37 - loss: 0.0679 - top_k_categorical_accuracy: 0.9554 2880/15968 [====>.........................] - ETA: 2:37 - loss: 0.0677 - top_k_categorical_accuracy: 0.9556 2912/15968 [====>.........................] - ETA: 2:36 - loss: 0.0678 - top_k_categorical_accuracy: 0.9557 2944/15968 [====>.........................] - ETA: 2:36 - loss: 0.0676 - top_k_categorical_accuracy: 0.9558 2976/15968 [====>.........................] - ETA: 2:35 - loss: 0.0674 - top_k_categorical_accuracy: 0.9560 3008/15968 [====>.........................] - ETA: 2:35 - loss: 0.0673 - top_k_categorical_accuracy: 0.9564 3040/15968 [====>.........................] - ETA: 2:35 - loss: 0.0672 - top_k_categorical_accuracy: 0.9569 3072/15968 [====>.........................] - ETA: 2:34 - loss: 0.0673 - top_k_categorical_accuracy: 0.9574 3104/15968 [====>.........................] - ETA: 2:34 - loss: 0.0674 - top_k_categorical_accuracy: 0.9572 3136/15968 [====>.........................] - ETA: 2:34 - loss: 0.0672 - top_k_categorical_accuracy: 0.9576 3168/15968 [====>.........................] - ETA: 2:33 - loss: 0.0671 - top_k_categorical_accuracy: 0.9577 3200/15968 [=====>........................] - ETA: 2:33 - loss: 0.0669 - top_k_categorical_accuracy: 0.9581 3232/15968 [=====>........................] - ETA: 2:32 - loss: 0.0674 - top_k_categorical_accuracy: 0.9582INFO 29-May 07:47:47 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db 3264/15968 [=====>........................] - ETA: 2:32 - loss: 0.0674 - top_k_categorical_accuracy: 0.9580 3296/15968 [=====>........................] - ETA: 2:32 - loss: 0.0673 - top_k_categorical_accuracy: 0.9581 3328/15968 [=====>........................] - ETA: 2:31 - loss: 0.0673 - top_k_categorical_accuracy: 0.9582 3360/15968 [=====>........................] - ETA: 2:31 - loss: 0.0672 - top_k_categorical_accuracy: 0.9586 3392/15968 [=====>........................] - ETA: 2:31 - loss: 0.0674 - top_k_categorical_accuracy: 0.9584 3424/15968 [=====>........................] - ETA: 2:30 - loss: 0.0673 - top_k_categorical_accuracy: 0.9585 3456/15968 [=====>........................] - ETA: 2:30 - loss: 0.0673 - top_k_categorical_accuracy: 0.9583 3488/15968 [=====>........................] - ETA: 2:29 - loss: 0.0671 - top_k_categorical_accuracy: 0.9584 3520/15968 [=====>........................] - ETA: 2:29 - loss: 0.0670 - top_k_categorical_accuracy: 0.9588 3552/15968 [=====>........................] - ETA: 2:29 - loss: 0.0669 - top_k_categorical_accuracy: 0.9592 3584/15968 [=====>........................] - ETA: 2:28 - loss: 0.0670 - top_k_categorical_accuracy: 0.9593 3616/15968 [=====>........................] - ETA: 2:28 - loss: 0.0669 - top_k_categorical_accuracy: 0.9593 3648/15968 [=====>........................] - ETA: 2:27 - loss: 0.0669 - top_k_categorical_accuracy: 0.9594 3680/15968 [=====>........................] - ETA: 2:27 - loss: 0.0669 - top_k_categorical_accuracy: 0.9595 3712/15968 [=====>........................] - ETA: 2:27 - loss: 0.0673 - top_k_categorical_accuracy: 0.9588INFO 29-May 07:47:53 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db 3744/15968 [======>.......................] - ETA: 2:26 - loss: 0.0670 - top_k_categorical_accuracy: 0.9591 3776/15968 [======>.......................] - ETA: 2:26 - loss: 0.0669 - top_k_categorical_accuracy: 0.9592 3808/15968 [======>.......................] - ETA: 2:26 - loss: 0.0668 - top_k_categorical_accuracy: 0.9596 3840/15968 [======>.......................] - ETA: 2:25 - loss: 0.0668 - top_k_categorical_accuracy: 0.9596 3872/15968 [======>.......................] - ETA: 2:25 - loss: 0.0667 - top_k_categorical_accuracy: 0.9597 3904/15968 [======>.......................] - ETA: 2:24 - loss: 0.0667 - top_k_categorical_accuracy: 0.9600 3936/15968 [======>.......................] - ETA: 2:24 - loss: 0.0670 - top_k_categorical_accuracy: 0.9593 3968/15968 [======>.......................] - ETA: 2:24 - loss: 0.0674 - top_k_categorical_accuracy: 0.9589 4000/15968 [======>.......................] - ETA: 2:23 - loss: 0.0673 - top_k_categorical_accuracy: 0.9587 4032/15968 [======>.......................] - ETA: 2:23 - loss: 0.0675 - top_k_categorical_accuracy: 0.9586 4064/15968 [======>.......................] - ETA: 2:22 - loss: 0.0676 - top_k_categorical_accuracy: 0.9584 4096/15968 [======>.......................] - ETA: 2:22 - loss: 0.0677 - top_k_categorical_accuracy: 0.9583 4128/15968 [======>.......................] - ETA: 2:22 - loss: 0.0677 - top_k_categorical_accuracy: 0.9583 4160/15968 [======>.......................] - ETA: 2:21 - loss: 0.0678 - top_k_categorical_accuracy: 0.9582 4192/15968 [======>.......................] - ETA: 2:21 - loss: 0.0677 - top_k_categorical_accuracy: 0.9585 4224/15968 [======>.......................] - ETA: 2:21 - loss: 0.0677 - top_k_categorical_accuracy: 0.9586INFO 29-May 07:47:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 4256/15968 [======>.......................] - ETA: 2:20 - loss: 0.0678 - top_k_categorical_accuracy: 0.9586 4288/15968 [=======>......................] - ETA: 2:20 - loss: 0.0677 - top_k_categorical_accuracy: 0.9585 4320/15968 [=======>......................] - ETA: 2:19 - loss: 0.0676 - top_k_categorical_accuracy: 0.9583 4352/15968 [=======>......................] - ETA: 2:19 - loss: 0.0677 - top_k_categorical_accuracy: 0.9580 4384/15968 [=======>......................] - ETA: 2:19 - loss: 0.0678 - top_k_categorical_accuracy: 0.9576 4416/15968 [=======>......................] - ETA: 2:18 - loss: 0.0678 - top_k_categorical_accuracy: 0.9574 4448/15968 [=======>......................] - ETA: 2:18 - loss: 0.0679 - top_k_categorical_accuracy: 0.9573 4480/15968 [=======>......................] - ETA: 2:17 - loss: 0.0678 - top_k_categorical_accuracy: 0.9574 4512/15968 [=======>......................] - ETA: 2:17 - loss: 0.0677 - top_k_categorical_accuracy: 0.9574 4544/15968 [=======>......................] - ETA: 2:17 - loss: 0.0679 - top_k_categorical_accuracy: 0.9566 4576/15968 [=======>......................] - ETA: 2:16 - loss: 0.0679 - top_k_categorical_accuracy: 0.9567 4608/15968 [=======>......................] - ETA: 2:16 - loss: 0.0678 - top_k_categorical_accuracy: 0.9566 4640/15968 [=======>......................] - ETA: 2:16 - loss: 0.0678 - top_k_categorical_accuracy: 0.9563 4672/15968 [=======>......................] - ETA: 2:15 - loss: 0.0677 - top_k_categorical_accuracy: 0.9565 4704/15968 [=======>......................] - ETA: 2:15 - loss: 0.0677 - top_k_categorical_accuracy: 0.9566INFO 29-May 07:48:05 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 4736/15968 [=======>......................] - ETA: 2:14 - loss: 0.0677 - top_k_categorical_accuracy: 0.9565 4768/15968 [=======>......................] - ETA: 2:14 - loss: 0.0676 - top_k_categorical_accuracy: 0.9568 4800/15968 [========>.....................] - ETA: 2:14 - loss: 0.0676 - top_k_categorical_accuracy: 0.9565 4832/15968 [========>.....................] - ETA: 2:13 - loss: 0.0675 - top_k_categorical_accuracy: 0.9565 4864/15968 [========>.....................] - ETA: 2:13 - loss: 0.0676 - top_k_categorical_accuracy: 0.9562 4896/15968 [========>.....................] - ETA: 2:12 - loss: 0.0676 - top_k_categorical_accuracy: 0.9559 4928/15968 [========>.....................] - ETA: 2:12 - loss: 0.0678 - top_k_categorical_accuracy: 0.9562 4960/15968 [========>.....................] - ETA: 2:12 - loss: 0.0679 - top_k_categorical_accuracy: 0.9563 4992/15968 [========>.....................] - ETA: 2:11 - loss: 0.0680 - top_k_categorical_accuracy: 0.9565 5024/15968 [========>.....................] - ETA: 2:11 - loss: 0.0680 - top_k_categorical_accuracy: 0.9566 5056/15968 [========>.....................] - ETA: 2:11 - loss: 0.0680 - top_k_categorical_accuracy: 0.9569 5088/15968 [========>.....................] - ETA: 2:10 - loss: 0.0679 - top_k_categorical_accuracy: 0.9568 5120/15968 [========>.....................] - ETA: 2:10 - loss: 0.0679 - top_k_categorical_accuracy: 0.9570 5152/15968 [========>.....................] - ETA: 2:09 - loss: 0.0680 - top_k_categorical_accuracy: 0.9573 5184/15968 [========>.....................] - ETA: 2:09 - loss: 0.0679 - top_k_categorical_accuracy: 0.9572 5216/15968 [========>.....................] - ETA: 2:09 - loss: 0.0678 - top_k_categorical_accuracy: 0.9574INFO 29-May 07:48:11 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 5248/15968 [========>.....................] - ETA: 2:08 - loss: 0.0678 - top_k_categorical_accuracy: 0.9577 5280/15968 [========>.....................] - ETA: 2:08 - loss: 0.0678 - top_k_categorical_accuracy: 0.9576 5312/15968 [========>.....................] - ETA: 2:07 - loss: 0.0677 - top_k_categorical_accuracy: 0.9576 5344/15968 [=========>....................] - ETA: 2:07 - loss: 0.0677 - top_k_categorical_accuracy: 0.9577 5376/15968 [=========>....................] - ETA: 2:07 - loss: 0.0676 - top_k_categorical_accuracy: 0.9580 5408/15968 [=========>....................] - ETA: 2:06 - loss: 0.0676 - top_k_categorical_accuracy: 0.9578 5440/15968 [=========>....................] - ETA: 2:06 - loss: 0.0676 - top_k_categorical_accuracy: 0.9577 5472/15968 [=========>....................] - ETA: 2:06 - loss: 0.0675 - top_k_categorical_accuracy: 0.9576 5504/15968 [=========>....................] - ETA: 2:05 - loss: 0.0675 - top_k_categorical_accuracy: 0.9571 5536/15968 [=========>....................] - ETA: 2:05 - loss: 0.0675 - top_k_categorical_accuracy: 0.9572 5568/15968 [=========>....................] - ETA: 2:04 - loss: 0.0675 - top_k_categorical_accuracy: 0.9567 5600/15968 [=========>....................] - ETA: 2:04 - loss: 0.0675 - top_k_categorical_accuracy: 0.9568 5632/15968 [=========>....................] - ETA: 2:04 - loss: 0.0675 - top_k_categorical_accuracy: 0.9570 5664/15968 [=========>....................] - ETA: 2:03 - loss: 0.0676 - top_k_categorical_accuracy: 0.9573 5696/15968 [=========>....................] - ETA: 2:03 - loss: 0.0676 - top_k_categorical_accuracy: 0.9572 5728/15968 [=========>....................] - ETA: 2:02 - loss: 0.0676 - top_k_categorical_accuracy: 0.9574INFO 29-May 07:48:17 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 5760/15968 [=========>....................] - ETA: 2:02 - loss: 0.0677 - top_k_categorical_accuracy: 0.9571 5792/15968 [=========>....................] - ETA: 2:02 - loss: 0.0676 - top_k_categorical_accuracy: 0.9572 5824/15968 [=========>....................] - ETA: 2:01 - loss: 0.0676 - top_k_categorical_accuracy: 0.9572 5856/15968 [==========>...................] - ETA: 2:01 - loss: 0.0677 - top_k_categorical_accuracy: 0.9570 5888/15968 [==========>...................] - ETA: 2:00 - loss: 0.0677 - top_k_categorical_accuracy: 0.9569 5920/15968 [==========>...................] - ETA: 2:00 - loss: 0.0676 - top_k_categorical_accuracy: 0.9564 5952/15968 [==========>...................] - ETA: 2:00 - loss: 0.0676 - top_k_categorical_accuracy: 0.9567 5984/15968 [==========>...................] - ETA: 1:59 - loss: 0.0676 - top_k_categorical_accuracy: 0.9567 6016/15968 [==========>...................] - ETA: 1:59 - loss: 0.0676 - top_k_categorical_accuracy: 0.9566 6048/15968 [==========>...................] - ETA: 1:59 - loss: 0.0677 - top_k_categorical_accuracy: 0.9565 6080/15968 [==========>...................] - ETA: 1:58 - loss: 0.0676 - top_k_categorical_accuracy: 0.9566 6112/15968 [==========>...................] - ETA: 1:58 - loss: 0.0677 - top_k_categorical_accuracy: 0.9565 6144/15968 [==========>...................] - ETA: 1:57 - loss: 0.0677 - top_k_categorical_accuracy: 0.9565 6176/15968 [==========>...................] - ETA: 1:57 - loss: 0.0677 - top_k_categorical_accuracy: 0.9566 6208/15968 [==========>...................] - ETA: 1:57 - loss: 0.0678 - top_k_categorical_accuracy: 0.9565 6240/15968 [==========>...................] - ETA: 1:56 - loss: 0.0678 - top_k_categorical_accuracy: 0.9567 6272/15968 [==========>...................] - ETA: 1:56 - loss: 0.0678 - top_k_categorical_accuracy: 0.9570 6304/15968 [==========>...................] - ETA: 1:56 - loss: 0.0677 - top_k_categorical_accuracy: 0.9569 6336/15968 [==========>...................] - 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ETA: 1:41 - loss: 0.0679 - top_k_categorical_accuracy: 0.9560INFO 29-May 07:48:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 7584/15968 [=============>................] - ETA: 1:40 - loss: 0.0680 - top_k_categorical_accuracy: 0.9561 7616/15968 [=============>................] - ETA: 1:40 - loss: 0.0680 - top_k_categorical_accuracy: 0.9560 7648/15968 [=============>................] - ETA: 1:39 - loss: 0.0679 - top_k_categorical_accuracy: 0.9562 7680/15968 [=============>................] - ETA: 1:39 - loss: 0.0679 - top_k_categorical_accuracy: 0.9563 7712/15968 [=============>................] - ETA: 1:39 - loss: 0.0678 - top_k_categorical_accuracy: 0.9564 7744/15968 [=============>................] - ETA: 1:38 - loss: 0.0678 - top_k_categorical_accuracy: 0.9566 7776/15968 [=============>................] - ETA: 1:38 - loss: 0.0677 - top_k_categorical_accuracy: 0.9565 7808/15968 [=============>................] - ETA: 1:38 - loss: 0.0677 - top_k_categorical_accuracy: 0.9566 7840/15968 [=============>................] - 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ETA: 1:22 - loss: 0.0681 - top_k_categorical_accuracy: 0.9548INFO 29-May 07:48:57 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.95ms cal_jobs_db 9088/15968 [================>.............] - ETA: 1:22 - loss: 0.0680 - top_k_categorical_accuracy: 0.9550 9120/15968 [================>.............] - ETA: 1:22 - loss: 0.0680 - top_k_categorical_accuracy: 0.9552 9152/15968 [================>.............] - ETA: 1:21 - loss: 0.0680 - top_k_categorical_accuracy: 0.9552 9184/15968 [================>.............] - ETA: 1:21 - loss: 0.0680 - top_k_categorical_accuracy: 0.9551 9216/15968 [================>.............] - ETA: 1:21 - loss: 0.0679 - top_k_categorical_accuracy: 0.9553 9248/15968 [================>.............] - ETA: 1:20 - loss: 0.0679 - top_k_categorical_accuracy: 0.9554 9280/15968 [================>.............] - ETA: 1:20 - loss: 0.0679 - top_k_categorical_accuracy: 0.9556 9312/15968 [================>.............] - ETA: 1:19 - loss: 0.0679 - top_k_categorical_accuracy: 0.9556 9344/15968 [================>.............] - 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ETA: 3:05 - loss: 0.0574 - top_k_categorical_accuracy: 0.9629 544/15968 [>.............................] - ETA: 3:05 - loss: 0.0578 - top_k_categorical_accuracy: 0.9614 576/15968 [>.............................] - ETA: 3:05 - loss: 0.0592 - top_k_categorical_accuracy: 0.9601 608/15968 [>.............................] - ETA: 3:04 - loss: 0.0582 - top_k_categorical_accuracy: 0.9622 640/15968 [>.............................] - ETA: 3:04 - loss: 0.0589 - top_k_categorical_accuracy: 0.9594 672/15968 [>.............................] - ETA: 3:03 - loss: 0.0607 - top_k_categorical_accuracy: 0.9568 704/15968 [>.............................] - ETA: 3:03 - loss: 0.0599 - top_k_categorical_accuracy: 0.9560INFO 29-May 07:50:29 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 736/15968 [>.............................] - ETA: 3:02 - loss: 0.0592 - top_k_categorical_accuracy: 0.9552 768/15968 [>.............................] - ETA: 3:02 - loss: 0.0595 - top_k_categorical_accuracy: 0.9557 800/15968 [>.............................] - 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ETA: 2:58 - loss: 0.0580 - top_k_categorical_accuracy: 0.9589 1152/15968 [=>............................] - ETA: 2:58 - loss: 0.0579 - top_k_categorical_accuracy: 0.9592 1184/15968 [=>............................] - ETA: 2:57 - loss: 0.0576 - top_k_categorical_accuracy: 0.9586 1216/15968 [=>............................] - ETA: 2:57 - loss: 0.0576 - top_k_categorical_accuracy: 0.9589INFO 29-May 07:50:35 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 1248/15968 [=>............................] - ETA: 2:57 - loss: 0.0577 - top_k_categorical_accuracy: 0.9599 1280/15968 [=>............................] - ETA: 2:56 - loss: 0.0577 - top_k_categorical_accuracy: 0.9609 1312/15968 [=>............................] - ETA: 2:56 - loss: 0.0577 - top_k_categorical_accuracy: 0.9604 1344/15968 [=>............................] - ETA: 2:55 - loss: 0.0576 - top_k_categorical_accuracy: 0.9606 1376/15968 [=>............................] - ETA: 2:55 - loss: 0.0577 - top_k_categorical_accuracy: 0.9608 1408/15968 [=>............................] - ETA: 2:55 - loss: 0.0580 - top_k_categorical_accuracy: 0.9602 1440/15968 [=>............................] - ETA: 2:54 - loss: 0.0580 - top_k_categorical_accuracy: 0.9604 1472/15968 [=>............................] - ETA: 2:54 - loss: 0.0580 - top_k_categorical_accuracy: 0.9613 1504/15968 [=>............................] - ETA: 2:53 - loss: 0.0582 - top_k_categorical_accuracy: 0.9608 1536/15968 [=>............................] - ETA: 2:53 - loss: 0.0580 - top_k_categorical_accuracy: 0.9616 1568/15968 [=>............................] - ETA: 2:53 - loss: 0.0581 - top_k_categorical_accuracy: 0.9605 1600/15968 [==>...........................] - ETA: 2:52 - loss: 0.0582 - top_k_categorical_accuracy: 0.9600 1632/15968 [==>...........................] - ETA: 2:52 - loss: 0.0581 - top_k_categorical_accuracy: 0.9608 1664/15968 [==>...........................] - ETA: 2:51 - loss: 0.0581 - top_k_categorical_accuracy: 0.9609 1696/15968 [==>...........................] - ETA: 2:51 - loss: 0.0581 - top_k_categorical_accuracy: 0.9617 1728/15968 [==>...........................] - ETA: 2:51 - loss: 0.0584 - top_k_categorical_accuracy: 0.9624INFO 29-May 07:50:41 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 1760/15968 [==>...........................] - ETA: 2:50 - loss: 0.0583 - top_k_categorical_accuracy: 0.9625 1792/15968 [==>...........................] - ETA: 2:50 - loss: 0.0585 - top_k_categorical_accuracy: 0.9615 1824/15968 [==>...........................] - ETA: 2:50 - loss: 0.0583 - top_k_categorical_accuracy: 0.9616 1856/15968 [==>...........................] - ETA: 2:49 - loss: 0.0585 - top_k_categorical_accuracy: 0.9612 1888/15968 [==>...........................] - ETA: 2:49 - loss: 0.0588 - top_k_categorical_accuracy: 0.9613 1920/15968 [==>...........................] - ETA: 2:48 - loss: 0.0587 - top_k_categorical_accuracy: 0.9620 1952/15968 [==>...........................] - ETA: 2:48 - loss: 0.0588 - top_k_categorical_accuracy: 0.9616 1984/15968 [==>...........................] - ETA: 2:47 - loss: 0.0586 - top_k_categorical_accuracy: 0.9617 2016/15968 [==>...........................] - ETA: 2:47 - loss: 0.0585 - top_k_categorical_accuracy: 0.9613 2048/15968 [==>...........................] - ETA: 2:47 - loss: 0.0590 - top_k_categorical_accuracy: 0.9604 2080/15968 [==>...........................] - ETA: 2:46 - loss: 0.0588 - top_k_categorical_accuracy: 0.9601 2112/15968 [==>...........................] - ETA: 2:46 - loss: 0.0587 - top_k_categorical_accuracy: 0.9602 2144/15968 [===>..........................] - ETA: 2:46 - loss: 0.0587 - top_k_categorical_accuracy: 0.9599 2176/15968 [===>..........................] - ETA: 2:46 - loss: 0.0585 - top_k_categorical_accuracy: 0.9600 2208/15968 [===>..........................] - ETA: 2:45 - loss: 0.0587 - top_k_categorical_accuracy: 0.9601INFO 29-May 07:50:47 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 2240/15968 [===>..........................] - ETA: 2:45 - loss: 0.0587 - top_k_categorical_accuracy: 0.9607 2272/15968 [===>..........................] - ETA: 2:44 - loss: 0.0587 - top_k_categorical_accuracy: 0.9608 2304/15968 [===>..........................] - ETA: 2:44 - loss: 0.0588 - top_k_categorical_accuracy: 0.9609 2336/15968 [===>..........................] - ETA: 2:44 - loss: 0.0588 - top_k_categorical_accuracy: 0.9606 2368/15968 [===>..........................] - ETA: 2:43 - loss: 0.0587 - top_k_categorical_accuracy: 0.9607 2400/15968 [===>..........................] - ETA: 2:43 - loss: 0.0586 - top_k_categorical_accuracy: 0.9613 2432/15968 [===>..........................] - ETA: 2:42 - loss: 0.0588 - top_k_categorical_accuracy: 0.9618 2464/15968 [===>..........................] - ETA: 2:42 - loss: 0.0585 - top_k_categorical_accuracy: 0.9619 2496/15968 [===>..........................] - ETA: 2:42 - loss: 0.0585 - top_k_categorical_accuracy: 0.9623 2528/15968 [===>..........................] - ETA: 2:41 - loss: 0.0585 - top_k_categorical_accuracy: 0.9620 2560/15968 [===>..........................] - ETA: 2:41 - loss: 0.0587 - top_k_categorical_accuracy: 0.9625 2592/15968 [===>..........................] - ETA: 2:40 - loss: 0.0588 - top_k_categorical_accuracy: 0.9622 2624/15968 [===>..........................] - ETA: 2:40 - loss: 0.0587 - top_k_categorical_accuracy: 0.9627 2656/15968 [===>..........................] - ETA: 2:40 - loss: 0.0589 - top_k_categorical_accuracy: 0.9623 2688/15968 [====>.........................] - ETA: 2:39 - loss: 0.0588 - top_k_categorical_accuracy: 0.9624 2720/15968 [====>.........................] - ETA: 2:39 - loss: 0.0590 - top_k_categorical_accuracy: 0.9618INFO 29-May 07:50:53 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 2752/15968 [====>.........................] - ETA: 2:38 - loss: 0.0588 - top_k_categorical_accuracy: 0.9618 2784/15968 [====>.........................] - ETA: 2:38 - loss: 0.0589 - top_k_categorical_accuracy: 0.9616 2816/15968 [====>.........................] - ETA: 2:38 - loss: 0.0589 - top_k_categorical_accuracy: 0.9620 2848/15968 [====>.........................] - ETA: 2:37 - loss: 0.0587 - top_k_categorical_accuracy: 0.9617 2880/15968 [====>.........................] - ETA: 2:37 - loss: 0.0586 - top_k_categorical_accuracy: 0.9622 2912/15968 [====>.........................] - ETA: 2:37 - loss: 0.0586 - top_k_categorical_accuracy: 0.9626 2944/15968 [====>.........................] - ETA: 2:36 - loss: 0.0584 - top_k_categorical_accuracy: 0.9630 2976/15968 [====>.........................] - ETA: 2:36 - loss: 0.0583 - top_k_categorical_accuracy: 0.9634 3008/15968 [====>.........................] - ETA: 2:35 - loss: 0.0581 - top_k_categorical_accuracy: 0.9638 3040/15968 [====>.........................] - ETA: 2:35 - loss: 0.0581 - top_k_categorical_accuracy: 0.9635 3072/15968 [====>.........................] - ETA: 2:35 - loss: 0.0579 - top_k_categorical_accuracy: 0.9639 3104/15968 [====>.........................] - ETA: 2:34 - loss: 0.0579 - top_k_categorical_accuracy: 0.9636 3136/15968 [====>.........................] - ETA: 2:34 - loss: 0.0578 - top_k_categorical_accuracy: 0.9633 3168/15968 [====>.........................] - ETA: 2:34 - loss: 0.0577 - top_k_categorical_accuracy: 0.9634 3200/15968 [=====>........................] - ETA: 2:33 - loss: 0.0577 - top_k_categorical_accuracy: 0.9637INFO 29-May 07:50:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 3232/15968 [=====>........................] - ETA: 2:33 - loss: 0.0579 - top_k_categorical_accuracy: 0.9641 3264/15968 [=====>........................] - ETA: 2:32 - loss: 0.0577 - top_k_categorical_accuracy: 0.9645 3296/15968 [=====>........................] - ETA: 2:32 - loss: 0.0578 - top_k_categorical_accuracy: 0.9645 3328/15968 [=====>........................] - ETA: 2:32 - loss: 0.0578 - top_k_categorical_accuracy: 0.9645 3360/15968 [=====>........................] - ETA: 2:31 - loss: 0.0579 - top_k_categorical_accuracy: 0.9649 3392/15968 [=====>........................] - ETA: 2:31 - loss: 0.0580 - top_k_categorical_accuracy: 0.9649 3424/15968 [=====>........................] - ETA: 2:30 - loss: 0.0581 - top_k_categorical_accuracy: 0.9652 3456/15968 [=====>........................] - ETA: 2:30 - loss: 0.0581 - top_k_categorical_accuracy: 0.9650 3488/15968 [=====>........................] - ETA: 2:30 - loss: 0.0582 - top_k_categorical_accuracy: 0.9650 3520/15968 [=====>........................] - ETA: 2:29 - loss: 0.0583 - top_k_categorical_accuracy: 0.9651 3552/15968 [=====>........................] - ETA: 2:29 - loss: 0.0584 - top_k_categorical_accuracy: 0.9645 3584/15968 [=====>........................] - ETA: 2:28 - loss: 0.0585 - top_k_categorical_accuracy: 0.9640 3616/15968 [=====>........................] - ETA: 2:28 - loss: 0.0587 - top_k_categorical_accuracy: 0.9629 3648/15968 [=====>........................] - ETA: 2:28 - loss: 0.0586 - top_k_categorical_accuracy: 0.9633 3680/15968 [=====>........................] - ETA: 2:27 - loss: 0.0587 - top_k_categorical_accuracy: 0.9633 3712/15968 [=====>........................] - ETA: 2:27 - loss: 0.0585 - top_k_categorical_accuracy: 0.9634 3744/15968 [======>.......................] - ETA: 2:27 - loss: 0.0585 - top_k_categorical_accuracy: 0.9637 3776/15968 [======>.......................] - ETA: 2:26 - loss: 0.0584 - top_k_categorical_accuracy: 0.9640INFO 29-May 07:51:06 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.72ms cal_jobs_db 3808/15968 [======>.......................] - ETA: 2:26 - loss: 0.0584 - top_k_categorical_accuracy: 0.9638 3840/15968 [======>.......................] - ETA: 2:25 - loss: 0.0584 - top_k_categorical_accuracy: 0.9638 3872/15968 [======>.......................] - ETA: 2:25 - loss: 0.0585 - top_k_categorical_accuracy: 0.9633 3904/15968 [======>.......................] - ETA: 2:25 - loss: 0.0586 - top_k_categorical_accuracy: 0.9631 3936/15968 [======>.......................] - ETA: 2:24 - loss: 0.0586 - top_k_categorical_accuracy: 0.9632 3968/15968 [======>.......................] - ETA: 2:24 - loss: 0.0587 - top_k_categorical_accuracy: 0.9630 4000/15968 [======>.......................] - ETA: 2:23 - loss: 0.0589 - top_k_categorical_accuracy: 0.9633 4032/15968 [======>.......................] - ETA: 2:23 - loss: 0.0589 - top_k_categorical_accuracy: 0.9633 4064/15968 [======>.......................] - ETA: 2:23 - loss: 0.0590 - top_k_categorical_accuracy: 0.9633 4096/15968 [======>.......................] - ETA: 2:22 - loss: 0.0588 - top_k_categorical_accuracy: 0.9636 4128/15968 [======>.......................] - ETA: 2:22 - loss: 0.0587 - top_k_categorical_accuracy: 0.9639 4160/15968 [======>.......................] - ETA: 2:21 - loss: 0.0587 - top_k_categorical_accuracy: 0.9637 4192/15968 [======>.......................] - ETA: 2:21 - loss: 0.0586 - top_k_categorical_accuracy: 0.9635 4224/15968 [======>.......................] - ETA: 2:21 - loss: 0.0586 - top_k_categorical_accuracy: 0.9638 4256/15968 [======>.......................] - ETA: 2:20 - loss: 0.0585 - top_k_categorical_accuracy: 0.9638 4288/15968 [=======>......................] - ETA: 2:20 - loss: 0.0584 - top_k_categorical_accuracy: 0.9639 4320/15968 [=======>......................] - ETA: 2:19 - loss: 0.0583 - top_k_categorical_accuracy: 0.9641 4352/15968 [=======>......................] - ETA: 2:19 - loss: 0.0583 - top_k_categorical_accuracy: 0.9639 4384/15968 [=======>......................] - ETA: 2:19 - loss: 0.0583 - top_k_categorical_accuracy: 0.9637INFO 29-May 07:51:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.91ms cal_jobs_db 4416/15968 [=======>......................] - ETA: 2:18 - loss: 0.0582 - top_k_categorical_accuracy: 0.9640 4448/15968 [=======>......................] - ETA: 2:18 - loss: 0.0583 - top_k_categorical_accuracy: 0.9640 4480/15968 [=======>......................] - ETA: 2:18 - loss: 0.0583 - top_k_categorical_accuracy: 0.9641 4512/15968 [=======>......................] - ETA: 2:17 - loss: 0.0584 - top_k_categorical_accuracy: 0.9643 4544/15968 [=======>......................] - ETA: 2:17 - loss: 0.0584 - top_k_categorical_accuracy: 0.9646 4576/15968 [=======>......................] - ETA: 2:16 - loss: 0.0584 - top_k_categorical_accuracy: 0.9646 4608/15968 [=======>......................] - ETA: 2:16 - loss: 0.0583 - top_k_categorical_accuracy: 0.9646 4640/15968 [=======>......................] - ETA: 2:16 - loss: 0.0582 - top_k_categorical_accuracy: 0.9649 4672/15968 [=======>......................] - ETA: 2:15 - loss: 0.0580 - top_k_categorical_accuracy: 0.9649 4704/15968 [=======>......................] - ETA: 2:15 - loss: 0.0580 - top_k_categorical_accuracy: 0.9651 4736/15968 [=======>......................] - ETA: 2:14 - loss: 0.0578 - top_k_categorical_accuracy: 0.9654 4768/15968 [=======>......................] - ETA: 2:14 - loss: 0.0580 - top_k_categorical_accuracy: 0.9656 4800/15968 [========>.....................] - ETA: 2:14 - loss: 0.0580 - top_k_categorical_accuracy: 0.9650 4832/15968 [========>.....................] - ETA: 2:13 - loss: 0.0581 - top_k_categorical_accuracy: 0.9650 4864/15968 [========>.....................] - ETA: 2:13 - loss: 0.0581 - top_k_categorical_accuracy: 0.9653INFO 29-May 07:51:19 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db 4896/15968 [========>.....................] - ETA: 2:12 - loss: 0.0582 - top_k_categorical_accuracy: 0.9653 4928/15968 [========>.....................] - ETA: 2:12 - loss: 0.0581 - top_k_categorical_accuracy: 0.9651 4960/15968 [========>.....................] - ETA: 2:12 - loss: 0.0582 - top_k_categorical_accuracy: 0.9651 4992/15968 [========>.....................] - ETA: 2:11 - loss: 0.0583 - top_k_categorical_accuracy: 0.9649 5024/15968 [========>.....................] - ETA: 2:11 - loss: 0.0583 - top_k_categorical_accuracy: 0.9650 5056/15968 [========>.....................] - ETA: 2:11 - loss: 0.0583 - top_k_categorical_accuracy: 0.9648 5088/15968 [========>.....................] - ETA: 2:10 - loss: 0.0584 - top_k_categorical_accuracy: 0.9648 5120/15968 [========>.....................] - ETA: 2:10 - loss: 0.0587 - top_k_categorical_accuracy: 0.9648 5152/15968 [========>.....................] - ETA: 2:09 - loss: 0.0586 - top_k_categorical_accuracy: 0.9651 5184/15968 [========>.....................] - ETA: 2:09 - loss: 0.0586 - top_k_categorical_accuracy: 0.9649 5216/15968 [========>.....................] - ETA: 2:09 - loss: 0.0586 - top_k_categorical_accuracy: 0.9651 5248/15968 [========>.....................] - ETA: 2:08 - loss: 0.0586 - top_k_categorical_accuracy: 0.9653 5280/15968 [========>.....................] - ETA: 2:08 - loss: 0.0586 - top_k_categorical_accuracy: 0.9653 5312/15968 [========>.....................] - ETA: 2:07 - loss: 0.0586 - top_k_categorical_accuracy: 0.9652 5344/15968 [=========>....................] - ETA: 2:07 - loss: 0.0585 - top_k_categorical_accuracy: 0.9654 5376/15968 [=========>....................] - ETA: 2:07 - loss: 0.0585 - top_k_categorical_accuracy: 0.9654INFO 29-May 07:51:25 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.93ms cal_jobs_db 5408/15968 [=========>....................] - ETA: 2:06 - loss: 0.0586 - top_k_categorical_accuracy: 0.9651 5440/15968 [=========>....................] - ETA: 2:06 - loss: 0.0585 - top_k_categorical_accuracy: 0.9653 5472/15968 [=========>....................] - ETA: 2:06 - loss: 0.0587 - top_k_categorical_accuracy: 0.9655 5504/15968 [=========>....................] - ETA: 2:05 - loss: 0.0587 - top_k_categorical_accuracy: 0.9655 5536/15968 [=========>....................] - ETA: 2:05 - loss: 0.0587 - top_k_categorical_accuracy: 0.9657 5568/15968 [=========>....................] - ETA: 2:04 - loss: 0.0588 - top_k_categorical_accuracy: 0.9657 5600/15968 [=========>....................] - ETA: 2:04 - loss: 0.0590 - top_k_categorical_accuracy: 0.9655 5632/15968 [=========>....................] - ETA: 2:04 - loss: 0.0591 - top_k_categorical_accuracy: 0.9654 5664/15968 [=========>....................] - ETA: 2:03 - loss: 0.0590 - top_k_categorical_accuracy: 0.9654 5696/15968 [=========>....................] - ETA: 2:03 - loss: 0.0591 - top_k_categorical_accuracy: 0.9654 5728/15968 [=========>....................] - ETA: 2:02 - loss: 0.0590 - top_k_categorical_accuracy: 0.9653 5760/15968 [=========>....................] - ETA: 2:02 - loss: 0.0591 - top_k_categorical_accuracy: 0.9651 5792/15968 [=========>....................] - ETA: 2:02 - loss: 0.0592 - top_k_categorical_accuracy: 0.9646 5824/15968 [=========>....................] - ETA: 2:01 - loss: 0.0592 - top_k_categorical_accuracy: 0.9643 5856/15968 [==========>...................] - ETA: 2:01 - loss: 0.0592 - top_k_categorical_accuracy: 0.9641 5888/15968 [==========>...................] - ETA: 2:01 - loss: 0.0593 - top_k_categorical_accuracy: 0.9640INFO 29-May 07:51:31 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 5920/15968 [==========>...................] - ETA: 2:00 - loss: 0.0592 - top_k_categorical_accuracy: 0.9640 5952/15968 [==========>...................] - ETA: 2:00 - loss: 0.0592 - top_k_categorical_accuracy: 0.9640 5984/15968 [==========>...................] - ETA: 1:59 - loss: 0.0592 - top_k_categorical_accuracy: 0.9641 6016/15968 [==========>...................] - ETA: 1:59 - loss: 0.0592 - top_k_categorical_accuracy: 0.9641 6048/15968 [==========>...................] - ETA: 1:59 - loss: 0.0591 - top_k_categorical_accuracy: 0.9641 6080/15968 [==========>...................] - ETA: 1:58 - loss: 0.0591 - top_k_categorical_accuracy: 0.9641 6112/15968 [==========>...................] - ETA: 1:58 - loss: 0.0592 - top_k_categorical_accuracy: 0.9642 6144/15968 [==========>...................] - ETA: 1:57 - loss: 0.0593 - top_k_categorical_accuracy: 0.9640 6176/15968 [==========>...................] - ETA: 1:57 - loss: 0.0594 - top_k_categorical_accuracy: 0.9641 6208/15968 [==========>...................] - ETA: 1:57 - loss: 0.0596 - top_k_categorical_accuracy: 0.9641 6240/15968 [==========>...................] - ETA: 1:56 - loss: 0.0595 - top_k_categorical_accuracy: 0.9641 6272/15968 [==========>...................] - ETA: 1:56 - loss: 0.0595 - top_k_categorical_accuracy: 0.9643 6304/15968 [==========>...................] - ETA: 1:56 - loss: 0.0595 - top_k_categorical_accuracy: 0.9645 6336/15968 [==========>...................] - ETA: 1:55 - loss: 0.0594 - top_k_categorical_accuracy: 0.9645 6368/15968 [==========>...................] - ETA: 1:55 - loss: 0.0595 - top_k_categorical_accuracy: 0.9644INFO 29-May 07:51:37 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 6400/15968 [===========>..................] - ETA: 1:54 - loss: 0.0596 - top_k_categorical_accuracy: 0.9642 6432/15968 [===========>..................] - ETA: 1:54 - loss: 0.0595 - top_k_categorical_accuracy: 0.9644 6464/15968 [===========>..................] - ETA: 1:54 - loss: 0.0595 - top_k_categorical_accuracy: 0.9644 6496/15968 [===========>..................] - ETA: 1:53 - loss: 0.0596 - top_k_categorical_accuracy: 0.9641 6528/15968 [===========>..................] - ETA: 1:53 - loss: 0.0596 - top_k_categorical_accuracy: 0.9643 6560/15968 [===========>..................] - 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ETA: 1:49 - loss: 0.0600 - top_k_categorical_accuracy: 0.9637INFO 29-May 07:51:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 6912/15968 [===========>..................] - ETA: 1:48 - loss: 0.0600 - top_k_categorical_accuracy: 0.9637 6944/15968 [============>.................] - ETA: 1:48 - loss: 0.0600 - top_k_categorical_accuracy: 0.9639 6976/15968 [============>.................] - ETA: 1:47 - loss: 0.0601 - top_k_categorical_accuracy: 0.9639 7008/15968 [============>.................] - ETA: 1:47 - loss: 0.0602 - top_k_categorical_accuracy: 0.9635 7040/15968 [============>.................] - ETA: 1:47 - loss: 0.0602 - top_k_categorical_accuracy: 0.9634 7072/15968 [============>.................] - ETA: 1:46 - loss: 0.0602 - top_k_categorical_accuracy: 0.9635 7104/15968 [============>.................] - ETA: 1:46 - loss: 0.0602 - top_k_categorical_accuracy: 0.9635 7136/15968 [============>.................] - ETA: 1:46 - loss: 0.0601 - top_k_categorical_accuracy: 0.9637 7168/15968 [============>.................] - 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ETA: 1:42 - loss: 0.0601 - top_k_categorical_accuracy: 0.9633 7488/15968 [=============>................] - ETA: 1:41 - loss: 0.0601 - top_k_categorical_accuracy: 0.9634 7520/15968 [=============>................] - ETA: 1:41 - loss: 0.0602 - top_k_categorical_accuracy: 0.9636 7552/15968 [=============>................] - ETA: 1:41 - loss: 0.0601 - top_k_categorical_accuracy: 0.9637 7584/15968 [=============>................] - ETA: 1:40 - loss: 0.0601 - top_k_categorical_accuracy: 0.9637 7616/15968 [=============>................] - ETA: 1:40 - loss: 0.0600 - top_k_categorical_accuracy: 0.9638 7648/15968 [=============>................] - ETA: 1:39 - loss: 0.0600 - top_k_categorical_accuracy: 0.9638 7680/15968 [=============>................] - ETA: 1:39 - loss: 0.0600 - top_k_categorical_accuracy: 0.9638 7712/15968 [=============>................] - ETA: 1:39 - loss: 0.0600 - top_k_categorical_accuracy: 0.9637 7744/15968 [=============>................] - ETA: 1:38 - loss: 0.0599 - top_k_categorical_accuracy: 0.9638 7776/15968 [=============>................] - ETA: 1:38 - loss: 0.0599 - top_k_categorical_accuracy: 0.9640 7808/15968 [=============>................] - ETA: 1:38 - loss: 0.0599 - top_k_categorical_accuracy: 0.9641 7840/15968 [=============>................] - ETA: 1:37 - loss: 0.0598 - top_k_categorical_accuracy: 0.9642 7872/15968 [=============>................] - ETA: 1:37 - loss: 0.0598 - top_k_categorical_accuracy: 0.9642 7904/15968 [=============>................] - ETA: 1:36 - loss: 0.0598 - top_k_categorical_accuracy: 0.9642 7936/15968 [=============>................] - ETA: 1:36 - loss: 0.0598 - top_k_categorical_accuracy: 0.9641 7968/15968 [=============>................] - ETA: 1:36 - loss: 0.0598 - top_k_categorical_accuracy: 0.9641INFO 29-May 07:51:56 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.92ms cal_jobs_db 8000/15968 [==============>...............] - ETA: 1:35 - loss: 0.0598 - top_k_categorical_accuracy: 0.9639 8032/15968 [==============>...............] - ETA: 1:35 - loss: 0.0598 - top_k_categorical_accuracy: 0.9638 8064/15968 [==============>...............] - 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ETA: 1:23 - loss: 0.0601 - top_k_categorical_accuracy: 0.9632 9024/15968 [===============>..............] - ETA: 1:23 - loss: 0.0601 - top_k_categorical_accuracy: 0.9633 9056/15968 [================>.............] - ETA: 1:23 - loss: 0.0601 - top_k_categorical_accuracy: 0.9633 9088/15968 [================>.............] - ETA: 1:22 - loss: 0.0601 - top_k_categorical_accuracy: 0.9632 9120/15968 [================>.............] - ETA: 1:22 - loss: 0.0601 - top_k_categorical_accuracy: 0.9633 9152/15968 [================>.............] - ETA: 1:21 - loss: 0.0601 - top_k_categorical_accuracy: 0.9631 9184/15968 [================>.............] - ETA: 1:21 - loss: 0.0601 - top_k_categorical_accuracy: 0.9631 9216/15968 [================>.............] - ETA: 1:21 - loss: 0.0601 - top_k_categorical_accuracy: 0.9632 9248/15968 [================>.............] - ETA: 1:20 - loss: 0.0601 - top_k_categorical_accuracy: 0.9631 9280/15968 [================>.............] - ETA: 1:20 - loss: 0.0601 - top_k_categorical_accuracy: 0.9631 9312/15968 [================>.............] - 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top_k_categorical_accuracy: 0.9641 11104/15968 [===================>..........] - ETA: 58s - loss: 0.0598 - top_k_categorical_accuracy: 0.9642 11136/15968 [===================>..........] - ETA: 58s - loss: 0.0598 - top_k_categorical_accuracy: 0.9643 11168/15968 [===================>..........] - ETA: 57s - loss: 0.0597 - top_k_categorical_accuracy: 0.9644 11200/15968 [====================>.........] - ETA: 57s - loss: 0.0597 - top_k_categorical_accuracy: 0.9645INFO 29-May 07:52:35 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 11232/15968 [====================>.........] - ETA: 56s - loss: 0.0597 - top_k_categorical_accuracy: 0.9644 11264/15968 [====================>.........] - ETA: 56s - loss: 0.0598 - top_k_categorical_accuracy: 0.9644 11296/15968 [====================>.........] - ETA: 56s - loss: 0.0598 - top_k_categorical_accuracy: 0.9644 11328/15968 [====================>.........] - ETA: 55s - loss: 0.0597 - top_k_categorical_accuracy: 0.9644 11360/15968 [====================>.........] - 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ETA: 1s - loss: 0.0596 - top_k_categorical_accuracy: 0.9646 15904/15968 [============================>.] - ETA: 0s - loss: 0.0596 - top_k_categorical_accuracy: 0.9647 15936/15968 [============================>.] - ETA: 0s - loss: 0.0596 - top_k_categorical_accuracy: 0.9647 15968/15968 [==============================] - 192s 12ms/step - loss: 0.0596 - top_k_categorical_accuracy: 0.9647 Epoch 9/10 32/15968 [..............................] - ETA: 3:08 - loss: 0.0514 - top_k_categorical_accuracy: 0.9688 64/15968 [..............................] - ETA: 3:08 - loss: 0.0466 - top_k_categorical_accuracy: 0.9844 96/15968 [..............................] - ETA: 3:07 - loss: 0.0511 - top_k_categorical_accuracy: 0.9896 128/15968 [..............................] - ETA: 3:07 - loss: 0.0524 - top_k_categorical_accuracy: 0.9922 160/15968 [..............................] - ETA: 3:07 - loss: 0.0518 - top_k_categorical_accuracy: 0.9750 192/15968 [..............................] - ETA: 3:07 - loss: 0.0536 - 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ETA: 3:05 - loss: 0.0528 - top_k_categorical_accuracy: 0.9667 512/15968 [..............................] - ETA: 3:05 - loss: 0.0519 - top_k_categorical_accuracy: 0.9668 544/15968 [>.............................] - ETA: 3:05 - loss: 0.0519 - top_k_categorical_accuracy: 0.9669 576/15968 [>.............................] - ETA: 3:05 - loss: 0.0521 - top_k_categorical_accuracy: 0.9688 608/15968 [>.............................] - ETA: 3:05 - loss: 0.0517 - top_k_categorical_accuracy: 0.9704 640/15968 [>.............................] - ETA: 3:04 - loss: 0.0520 - top_k_categorical_accuracy: 0.9703 672/15968 [>.............................] - ETA: 3:04 - loss: 0.0511 - top_k_categorical_accuracy: 0.9717 704/15968 [>.............................] - ETA: 3:03 - loss: 0.0502 - top_k_categorical_accuracy: 0.9730 736/15968 [>.............................] - ETA: 3:03 - loss: 0.0502 - top_k_categorical_accuracy: 0.9742 768/15968 [>.............................] - ETA: 3:02 - loss: 0.0498 - top_k_categorical_accuracy: 0.9753 800/15968 [>.............................] - ETA: 3:02 - loss: 0.0499 - top_k_categorical_accuracy: 0.9762 832/15968 [>.............................] - ETA: 3:02 - loss: 0.0497 - top_k_categorical_accuracy: 0.9772 864/15968 [>.............................] - ETA: 3:01 - loss: 0.0496 - top_k_categorical_accuracy: 0.9769INFO 29-May 07:53:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 896/15968 [>.............................] - ETA: 3:01 - loss: 0.0498 - top_k_categorical_accuracy: 0.9777 928/15968 [>.............................] - ETA: 3:01 - loss: 0.0495 - top_k_categorical_accuracy: 0.9784 960/15968 [>.............................] - ETA: 3:00 - loss: 0.0494 - top_k_categorical_accuracy: 0.9781 992/15968 [>.............................] - ETA: 3:00 - loss: 0.0496 - top_k_categorical_accuracy: 0.9778 1024/15968 [>.............................] - ETA: 2:59 - loss: 0.0507 - top_k_categorical_accuracy: 0.9756 1056/15968 [>.............................] - ETA: 2:59 - loss: 0.0502 - top_k_categorical_accuracy: 0.9763 1088/15968 [=>............................] - ETA: 2:58 - loss: 0.0509 - top_k_categorical_accuracy: 0.9770 1120/15968 [=>............................] - ETA: 2:58 - loss: 0.0509 - top_k_categorical_accuracy: 0.9777 1152/15968 [=>............................] - ETA: 2:57 - loss: 0.0510 - top_k_categorical_accuracy: 0.9774 1184/15968 [=>............................] - ETA: 2:57 - loss: 0.0508 - top_k_categorical_accuracy: 0.9772 1216/15968 [=>............................] - ETA: 2:57 - loss: 0.0507 - top_k_categorical_accuracy: 0.9778 1248/15968 [=>............................] - ETA: 2:56 - loss: 0.0506 - top_k_categorical_accuracy: 0.9784 1280/15968 [=>............................] - ETA: 2:56 - loss: 0.0506 - top_k_categorical_accuracy: 0.9789 1312/15968 [=>............................] - ETA: 2:55 - loss: 0.0504 - top_k_categorical_accuracy: 0.9794 1344/15968 [=>............................] - ETA: 2:55 - loss: 0.0506 - top_k_categorical_accuracy: 0.9792 1376/15968 [=>............................] - ETA: 2:55 - loss: 0.0508 - top_k_categorical_accuracy: 0.9789INFO 29-May 07:53:49 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.21ms cal_jobs_db 1408/15968 [=>............................] - ETA: 2:54 - loss: 0.0505 - top_k_categorical_accuracy: 0.9780 1440/15968 [=>............................] - ETA: 2:54 - loss: 0.0506 - top_k_categorical_accuracy: 0.9771 1472/15968 [=>............................] - ETA: 2:53 - loss: 0.0506 - top_k_categorical_accuracy: 0.9776 1504/15968 [=>............................] - ETA: 2:53 - loss: 0.0508 - top_k_categorical_accuracy: 0.9767 1536/15968 [=>............................] - ETA: 2:53 - loss: 0.0511 - top_k_categorical_accuracy: 0.9753 1568/15968 [=>............................] - ETA: 2:52 - loss: 0.0512 - top_k_categorical_accuracy: 0.9745 1600/15968 [==>...........................] - ETA: 2:52 - loss: 0.0511 - top_k_categorical_accuracy: 0.9744 1632/15968 [==>...........................] - ETA: 2:51 - loss: 0.0510 - top_k_categorical_accuracy: 0.9743 1664/15968 [==>...........................] - ETA: 2:51 - loss: 0.0511 - top_k_categorical_accuracy: 0.9748 1696/15968 [==>...........................] - ETA: 2:51 - loss: 0.0508 - top_k_categorical_accuracy: 0.9752 1728/15968 [==>...........................] - ETA: 2:50 - loss: 0.0510 - top_k_categorical_accuracy: 0.9757 1760/15968 [==>...........................] - ETA: 2:50 - loss: 0.0514 - top_k_categorical_accuracy: 0.9744 1792/15968 [==>...........................] - ETA: 2:49 - loss: 0.0519 - top_k_categorical_accuracy: 0.9738 1824/15968 [==>...........................] - ETA: 2:49 - loss: 0.0520 - top_k_categorical_accuracy: 0.9726 1856/15968 [==>...........................] - ETA: 2:49 - loss: 0.0520 - top_k_categorical_accuracy: 0.9731 1888/15968 [==>...........................] - ETA: 2:48 - loss: 0.0520 - top_k_categorical_accuracy: 0.9730INFO 29-May 07:53:55 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db 1920/15968 [==>...........................] - ETA: 2:48 - loss: 0.0521 - top_k_categorical_accuracy: 0.9719 1952/15968 [==>...........................] - ETA: 2:48 - loss: 0.0520 - top_k_categorical_accuracy: 0.9723 1984/15968 [==>...........................] - ETA: 2:47 - loss: 0.0519 - top_k_categorical_accuracy: 0.9728 2016/15968 [==>...........................] - ETA: 2:47 - loss: 0.0518 - top_k_categorical_accuracy: 0.9732 2048/15968 [==>...........................] - ETA: 2:46 - loss: 0.0518 - top_k_categorical_accuracy: 0.9736 2080/15968 [==>...........................] - ETA: 2:46 - loss: 0.0519 - top_k_categorical_accuracy: 0.9731 2112/15968 [==>...........................] - ETA: 2:46 - loss: 0.0522 - top_k_categorical_accuracy: 0.9725 2144/15968 [===>..........................] - ETA: 2:45 - loss: 0.0523 - top_k_categorical_accuracy: 0.9729 2176/15968 [===>..........................] - ETA: 2:45 - loss: 0.0523 - top_k_categorical_accuracy: 0.9729 2208/15968 [===>..........................] - ETA: 2:45 - loss: 0.0521 - top_k_categorical_accuracy: 0.9728 2240/15968 [===>..........................] - ETA: 2:44 - loss: 0.0519 - top_k_categorical_accuracy: 0.9732 2272/15968 [===>..........................] - ETA: 2:44 - loss: 0.0518 - top_k_categorical_accuracy: 0.9736 2304/15968 [===>..........................] - ETA: 2:43 - loss: 0.0515 - top_k_categorical_accuracy: 0.9740 2336/15968 [===>..........................] - ETA: 2:43 - loss: 0.0515 - top_k_categorical_accuracy: 0.9743 2368/15968 [===>..........................] - ETA: 2:43 - loss: 0.0515 - top_k_categorical_accuracy: 0.9742INFO 29-May 07:54:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 2400/15968 [===>..........................] - ETA: 2:42 - loss: 0.0514 - top_k_categorical_accuracy: 0.9746 2432/15968 [===>..........................] - ETA: 2:42 - loss: 0.0512 - top_k_categorical_accuracy: 0.9749 2464/15968 [===>..........................] - ETA: 2:42 - loss: 0.0513 - top_k_categorical_accuracy: 0.9752 2496/15968 [===>..........................] - ETA: 2:41 - loss: 0.0516 - top_k_categorical_accuracy: 0.9752 2528/15968 [===>..........................] - ETA: 2:41 - loss: 0.0518 - top_k_categorical_accuracy: 0.9751 2560/15968 [===>..........................] - ETA: 2:40 - loss: 0.0518 - top_k_categorical_accuracy: 0.9750 2592/15968 [===>..........................] - ETA: 2:40 - loss: 0.0517 - top_k_categorical_accuracy: 0.9745 2624/15968 [===>..........................] - ETA: 2:40 - loss: 0.0517 - top_k_categorical_accuracy: 0.9748 2656/15968 [===>..........................] - ETA: 2:39 - loss: 0.0514 - top_k_categorical_accuracy: 0.9752 2688/15968 [====>.........................] - ETA: 2:39 - loss: 0.0515 - top_k_categorical_accuracy: 0.9754 2720/15968 [====>.........................] - ETA: 2:39 - loss: 0.0516 - top_k_categorical_accuracy: 0.9754 2752/15968 [====>.........................] - ETA: 2:38 - loss: 0.0517 - top_k_categorical_accuracy: 0.9746 2784/15968 [====>.........................] - ETA: 2:38 - loss: 0.0517 - top_k_categorical_accuracy: 0.9749 2816/15968 [====>.........................] - ETA: 2:38 - loss: 0.0517 - top_k_categorical_accuracy: 0.9748 2848/15968 [====>.........................] - ETA: 2:37 - loss: 0.0518 - top_k_categorical_accuracy: 0.9744 2880/15968 [====>.........................] - ETA: 2:37 - loss: 0.0521 - top_k_categorical_accuracy: 0.9733INFO 29-May 07:54:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 2912/15968 [====>.........................] - ETA: 2:36 - loss: 0.0522 - top_k_categorical_accuracy: 0.9736 2944/15968 [====>.........................] - ETA: 2:36 - loss: 0.0522 - top_k_categorical_accuracy: 0.9738 2976/15968 [====>.........................] - ETA: 2:36 - loss: 0.0522 - top_k_categorical_accuracy: 0.9741 3008/15968 [====>.........................] - ETA: 2:35 - loss: 0.0522 - top_k_categorical_accuracy: 0.9741 3040/15968 [====>.........................] - ETA: 2:35 - loss: 0.0525 - top_k_categorical_accuracy: 0.9737 3072/15968 [====>.........................] - ETA: 2:34 - loss: 0.0527 - top_k_categorical_accuracy: 0.9733 3104/15968 [====>.........................] - ETA: 2:34 - loss: 0.0529 - top_k_categorical_accuracy: 0.9729 3136/15968 [====>.........................] - ETA: 2:34 - loss: 0.0528 - top_k_categorical_accuracy: 0.9729 3168/15968 [====>.........................] - ETA: 2:33 - loss: 0.0531 - top_k_categorical_accuracy: 0.9722 3200/15968 [=====>........................] - ETA: 2:33 - loss: 0.0534 - top_k_categorical_accuracy: 0.9722 3232/15968 [=====>........................] - ETA: 2:32 - loss: 0.0534 - top_k_categorical_accuracy: 0.9725 3264/15968 [=====>........................] - ETA: 2:32 - loss: 0.0536 - top_k_categorical_accuracy: 0.9727 3296/15968 [=====>........................] - ETA: 2:32 - loss: 0.0535 - top_k_categorical_accuracy: 0.9730 3328/15968 [=====>........................] - ETA: 2:31 - loss: 0.0536 - top_k_categorical_accuracy: 0.9727 3360/15968 [=====>........................] - ETA: 2:31 - loss: 0.0536 - top_k_categorical_accuracy: 0.9723INFO 29-May 07:54:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.90ms cal_jobs_db 3392/15968 [=====>........................] - ETA: 2:31 - loss: 0.0536 - top_k_categorical_accuracy: 0.9723 3424/15968 [=====>........................] - ETA: 2:30 - loss: 0.0535 - top_k_categorical_accuracy: 0.9723 3456/15968 [=====>........................] - ETA: 2:30 - loss: 0.0536 - top_k_categorical_accuracy: 0.9725 3488/15968 [=====>........................] - ETA: 2:29 - loss: 0.0535 - top_k_categorical_accuracy: 0.9728 3520/15968 [=====>........................] - ETA: 2:29 - loss: 0.0534 - top_k_categorical_accuracy: 0.9727 3552/15968 [=====>........................] - ETA: 2:29 - loss: 0.0534 - top_k_categorical_accuracy: 0.9730 3584/15968 [=====>........................] - ETA: 2:28 - loss: 0.0536 - top_k_categorical_accuracy: 0.9724 3616/15968 [=====>........................] - ETA: 2:28 - loss: 0.0536 - top_k_categorical_accuracy: 0.9726 3648/15968 [=====>........................] - ETA: 2:27 - loss: 0.0536 - top_k_categorical_accuracy: 0.9726 3680/15968 [=====>........................] - ETA: 2:27 - loss: 0.0536 - top_k_categorical_accuracy: 0.9728 3712/15968 [=====>........................] - ETA: 2:27 - loss: 0.0536 - top_k_categorical_accuracy: 0.9728 3744/15968 [======>.......................] - ETA: 2:26 - loss: 0.0537 - top_k_categorical_accuracy: 0.9728 3776/15968 [======>.......................] - ETA: 2:26 - loss: 0.0536 - top_k_categorical_accuracy: 0.9727 3808/15968 [======>.......................] - ETA: 2:26 - loss: 0.0535 - top_k_categorical_accuracy: 0.9730 3840/15968 [======>.......................] - ETA: 2:25 - loss: 0.0534 - top_k_categorical_accuracy: 0.9729 3872/15968 [======>.......................] - ETA: 2:25 - loss: 0.0534 - top_k_categorical_accuracy: 0.9729INFO 29-May 07:54:19 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.92ms cal_jobs_db 3904/15968 [======>.......................] - ETA: 2:24 - loss: 0.0532 - top_k_categorical_accuracy: 0.9731 3936/15968 [======>.......................] - ETA: 2:24 - loss: 0.0531 - top_k_categorical_accuracy: 0.9733 3968/15968 [======>.......................] - ETA: 2:24 - loss: 0.0532 - top_k_categorical_accuracy: 0.9733 4000/15968 [======>.......................] - ETA: 2:23 - loss: 0.0531 - top_k_categorical_accuracy: 0.9735 4032/15968 [======>.......................] - ETA: 2:23 - loss: 0.0531 - top_k_categorical_accuracy: 0.9735 4064/15968 [======>.......................] - ETA: 2:22 - loss: 0.0530 - top_k_categorical_accuracy: 0.9737 4096/15968 [======>.......................] - ETA: 2:22 - loss: 0.0531 - top_k_categorical_accuracy: 0.9736 4128/15968 [======>.......................] - ETA: 2:22 - loss: 0.0532 - top_k_categorical_accuracy: 0.9734 4160/15968 [======>.......................] - ETA: 2:21 - loss: 0.0533 - top_k_categorical_accuracy: 0.9731 4192/15968 [======>.......................] - ETA: 2:21 - loss: 0.0536 - top_k_categorical_accuracy: 0.9730 4224/15968 [======>.......................] - ETA: 2:21 - loss: 0.0536 - top_k_categorical_accuracy: 0.9728 4256/15968 [======>.......................] - ETA: 2:20 - loss: 0.0536 - top_k_categorical_accuracy: 0.9727 4288/15968 [=======>......................] - ETA: 2:20 - loss: 0.0535 - top_k_categorical_accuracy: 0.9725 4320/15968 [=======>......................] - ETA: 2:19 - loss: 0.0534 - top_k_categorical_accuracy: 0.9727 4352/15968 [=======>......................] - ETA: 2:19 - loss: 0.0536 - top_k_categorical_accuracy: 0.9724 4384/15968 [=======>......................] - ETA: 2:19 - loss: 0.0536 - top_k_categorical_accuracy: 0.9724INFO 29-May 07:54:25 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 4416/15968 [=======>......................] - ETA: 2:18 - loss: 0.0536 - top_k_categorical_accuracy: 0.9726 4448/15968 [=======>......................] - ETA: 2:18 - loss: 0.0535 - top_k_categorical_accuracy: 0.9728 4480/15968 [=======>......................] - ETA: 2:17 - loss: 0.0535 - top_k_categorical_accuracy: 0.9723 4512/15968 [=======>......................] - ETA: 2:17 - loss: 0.0535 - top_k_categorical_accuracy: 0.9723 4544/15968 [=======>......................] - ETA: 2:17 - loss: 0.0535 - top_k_categorical_accuracy: 0.9723 4576/15968 [=======>......................] - ETA: 2:16 - loss: 0.0535 - top_k_categorical_accuracy: 0.9720 4608/15968 [=======>......................] - ETA: 2:16 - loss: 0.0535 - top_k_categorical_accuracy: 0.9720 4640/15968 [=======>......................] - ETA: 2:16 - loss: 0.0536 - top_k_categorical_accuracy: 0.9722 4672/15968 [=======>......................] - ETA: 2:15 - loss: 0.0537 - top_k_categorical_accuracy: 0.9722 4704/15968 [=======>......................] - ETA: 2:15 - loss: 0.0537 - top_k_categorical_accuracy: 0.9722 4736/15968 [=======>......................] - ETA: 2:14 - loss: 0.0536 - top_k_categorical_accuracy: 0.9723 4768/15968 [=======>......................] - ETA: 2:14 - loss: 0.0536 - top_k_categorical_accuracy: 0.9723 4800/15968 [========>.....................] - ETA: 2:14 - loss: 0.0536 - top_k_categorical_accuracy: 0.9723 4832/15968 [========>.....................] - ETA: 2:13 - loss: 0.0535 - top_k_categorical_accuracy: 0.9725 4864/15968 [========>.....................] - ETA: 2:13 - loss: 0.0534 - top_k_categorical_accuracy: 0.9727INFO 29-May 07:54:31 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 4896/15968 [========>.....................] - ETA: 2:12 - loss: 0.0534 - top_k_categorical_accuracy: 0.9726 4928/15968 [========>.....................] - ETA: 2:12 - loss: 0.0533 - top_k_categorical_accuracy: 0.9726 4960/15968 [========>.....................] - ETA: 2:12 - loss: 0.0533 - top_k_categorical_accuracy: 0.9726 4992/15968 [========>.....................] - ETA: 2:11 - loss: 0.0533 - top_k_categorical_accuracy: 0.9728 5024/15968 [========>.....................] - ETA: 2:11 - loss: 0.0532 - top_k_categorical_accuracy: 0.9729 5056/15968 [========>.....................] - ETA: 2:11 - loss: 0.0533 - top_k_categorical_accuracy: 0.9729 5088/15968 [========>.....................] - ETA: 2:10 - loss: 0.0533 - top_k_categorical_accuracy: 0.9731 5120/15968 [========>.....................] - ETA: 2:10 - loss: 0.0533 - top_k_categorical_accuracy: 0.9729 5152/15968 [========>.....................] - ETA: 2:09 - loss: 0.0533 - top_k_categorical_accuracy: 0.9728 5184/15968 [========>.....................] - ETA: 2:09 - loss: 0.0533 - top_k_categorical_accuracy: 0.9730 5216/15968 [========>.....................] - ETA: 2:09 - loss: 0.0535 - top_k_categorical_accuracy: 0.9724 5248/15968 [========>.....................] - ETA: 2:08 - loss: 0.0536 - top_k_categorical_accuracy: 0.9722 5280/15968 [========>.....................] - ETA: 2:08 - loss: 0.0536 - top_k_categorical_accuracy: 0.9723 5312/15968 [========>.....................] - ETA: 2:07 - loss: 0.0537 - top_k_categorical_accuracy: 0.9723 5344/15968 [=========>....................] - ETA: 2:07 - loss: 0.0536 - top_k_categorical_accuracy: 0.9721 5376/15968 [=========>....................] - ETA: 2:07 - loss: 0.0536 - top_k_categorical_accuracy: 0.9723INFO 29-May 07:54:37 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db 5408/15968 [=========>....................] - ETA: 2:06 - loss: 0.0536 - top_k_categorical_accuracy: 0.9719 5440/15968 [=========>....................] - ETA: 2:06 - loss: 0.0536 - top_k_categorical_accuracy: 0.9719 5472/15968 [=========>....................] - ETA: 2:06 - loss: 0.0536 - top_k_categorical_accuracy: 0.9720 5504/15968 [=========>....................] - ETA: 2:05 - loss: 0.0535 - top_k_categorical_accuracy: 0.9722 5536/15968 [=========>....................] - ETA: 2:05 - loss: 0.0536 - top_k_categorical_accuracy: 0.9720 5568/15968 [=========>....................] - ETA: 2:04 - loss: 0.0536 - top_k_categorical_accuracy: 0.9722 5600/15968 [=========>....................] - ETA: 2:04 - loss: 0.0536 - top_k_categorical_accuracy: 0.9723 5632/15968 [=========>....................] - ETA: 2:04 - loss: 0.0536 - top_k_categorical_accuracy: 0.9723 5664/15968 [=========>....................] - ETA: 2:03 - loss: 0.0536 - top_k_categorical_accuracy: 0.9725 5696/15968 [=========>....................] - ETA: 2:03 - loss: 0.0535 - top_k_categorical_accuracy: 0.9721 5728/15968 [=========>....................] - ETA: 2:03 - loss: 0.0535 - top_k_categorical_accuracy: 0.9722 5760/15968 [=========>....................] - ETA: 2:02 - loss: 0.0534 - top_k_categorical_accuracy: 0.9722 5792/15968 [=========>....................] - ETA: 2:02 - loss: 0.0535 - top_k_categorical_accuracy: 0.9719 5824/15968 [=========>....................] - ETA: 2:01 - loss: 0.0535 - top_k_categorical_accuracy: 0.9720 5856/15968 [==========>...................] - ETA: 2:01 - loss: 0.0535 - top_k_categorical_accuracy: 0.9720 5888/15968 [==========>...................] - ETA: 2:01 - loss: 0.0535 - top_k_categorical_accuracy: 0.9721INFO 29-May 07:54:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 5920/15968 [==========>...................] - ETA: 2:00 - loss: 0.0535 - top_k_categorical_accuracy: 0.9720 5952/15968 [==========>...................] - ETA: 2:00 - loss: 0.0534 - top_k_categorical_accuracy: 0.9719 5984/15968 [==========>...................] - ETA: 1:59 - loss: 0.0535 - top_k_categorical_accuracy: 0.9719 6016/15968 [==========>...................] - ETA: 1:59 - loss: 0.0535 - top_k_categorical_accuracy: 0.9721 6048/15968 [==========>...................] - ETA: 1:59 - loss: 0.0538 - top_k_categorical_accuracy: 0.9721 6080/15968 [==========>...................] - ETA: 1:58 - loss: 0.0539 - top_k_categorical_accuracy: 0.9722 6112/15968 [==========>...................] - ETA: 1:58 - loss: 0.0539 - top_k_categorical_accuracy: 0.9722 6144/15968 [==========>...................] - ETA: 1:58 - loss: 0.0539 - top_k_categorical_accuracy: 0.9722 6176/15968 [==========>...................] - ETA: 1:57 - loss: 0.0538 - top_k_categorical_accuracy: 0.9723 6208/15968 [==========>...................] - ETA: 1:57 - loss: 0.0539 - top_k_categorical_accuracy: 0.9723 6240/15968 [==========>...................] - ETA: 1:56 - loss: 0.0539 - top_k_categorical_accuracy: 0.9723 6272/15968 [==========>...................] - ETA: 1:56 - loss: 0.0538 - top_k_categorical_accuracy: 0.9721 6304/15968 [==========>...................] - ETA: 1:56 - loss: 0.0538 - top_k_categorical_accuracy: 0.9722 6336/15968 [==========>...................] - ETA: 1:55 - loss: 0.0538 - top_k_categorical_accuracy: 0.9724 6368/15968 [==========>...................] - ETA: 1:55 - loss: 0.0538 - top_k_categorical_accuracy: 0.9722INFO 29-May 07:54:49 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 6400/15968 [===========>..................] - ETA: 1:54 - loss: 0.0538 - top_k_categorical_accuracy: 0.9723 6432/15968 [===========>..................] - ETA: 1:54 - loss: 0.0538 - top_k_categorical_accuracy: 0.9723 6464/15968 [===========>..................] - ETA: 1:54 - loss: 0.0538 - top_k_categorical_accuracy: 0.9725 6496/15968 [===========>..................] - ETA: 1:53 - loss: 0.0539 - top_k_categorical_accuracy: 0.9726 6528/15968 [===========>..................] - 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ETA: 1:49 - loss: 0.0540 - top_k_categorical_accuracy: 0.9723 6880/15968 [===========>..................] - ETA: 1:49 - loss: 0.0542 - top_k_categorical_accuracy: 0.9719INFO 29-May 07:54:55 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db 6912/15968 [===========>..................] - ETA: 1:48 - loss: 0.0544 - top_k_categorical_accuracy: 0.9716 6944/15968 [============>.................] - ETA: 1:48 - loss: 0.0544 - top_k_categorical_accuracy: 0.9716 6976/15968 [============>.................] - ETA: 1:47 - loss: 0.0544 - top_k_categorical_accuracy: 0.9712 7008/15968 [============>.................] - ETA: 1:47 - loss: 0.0545 - top_k_categorical_accuracy: 0.9712 7040/15968 [============>.................] - ETA: 1:47 - loss: 0.0545 - top_k_categorical_accuracy: 0.9712 7072/15968 [============>.................] - ETA: 1:46 - loss: 0.0544 - top_k_categorical_accuracy: 0.9712 7104/15968 [============>.................] - ETA: 1:46 - loss: 0.0544 - top_k_categorical_accuracy: 0.9710 7136/15968 [============>.................] - 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ETA: 1:38 - loss: 0.0547 - top_k_categorical_accuracy: 0.9711 7776/15968 [=============>................] - ETA: 1:38 - loss: 0.0547 - top_k_categorical_accuracy: 0.9711 7808/15968 [=============>................] - ETA: 1:37 - loss: 0.0547 - top_k_categorical_accuracy: 0.9711 7840/15968 [=============>................] - ETA: 1:37 - loss: 0.0547 - top_k_categorical_accuracy: 0.9710 7872/15968 [=============>................] - ETA: 1:37 - loss: 0.0548 - top_k_categorical_accuracy: 0.9709INFO 29-May 07:55:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.14ms cal_jobs_db 7904/15968 [=============>................] - ETA: 1:36 - loss: 0.0548 - top_k_categorical_accuracy: 0.9709 7936/15968 [=============>................] - ETA: 1:36 - loss: 0.0548 - top_k_categorical_accuracy: 0.9709 7968/15968 [=============>................] - ETA: 1:36 - loss: 0.0547 - top_k_categorical_accuracy: 0.9709 8000/15968 [==============>...............] - ETA: 1:35 - loss: 0.0547 - top_k_categorical_accuracy: 0.9710 8032/15968 [==============>...............] - 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ETA: 1:31 - loss: 0.0548 - top_k_categorical_accuracy: 0.9711 8384/15968 [==============>...............] - ETA: 1:31 - loss: 0.0548 - top_k_categorical_accuracy: 0.9710INFO 29-May 07:55:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 8416/15968 [==============>...............] - ETA: 1:30 - loss: 0.0548 - top_k_categorical_accuracy: 0.9710 8448/15968 [==============>...............] - ETA: 1:30 - loss: 0.0548 - top_k_categorical_accuracy: 0.9709 8480/15968 [==============>...............] - ETA: 1:29 - loss: 0.0547 - top_k_categorical_accuracy: 0.9709 8512/15968 [==============>...............] - ETA: 1:29 - loss: 0.0547 - top_k_categorical_accuracy: 0.9706 8544/15968 [===============>..............] - ETA: 1:29 - loss: 0.0547 - top_k_categorical_accuracy: 0.9706 8576/15968 [===============>..............] - ETA: 1:28 - loss: 0.0548 - top_k_categorical_accuracy: 0.9703 8608/15968 [===============>..............] - ETA: 1:28 - loss: 0.0550 - top_k_categorical_accuracy: 0.9704 8640/15968 [===============>..............] - 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ETA: 1:13 - loss: 0.0546 - top_k_categorical_accuracy: 0.9711 9888/15968 [=================>............] - ETA: 1:12 - loss: 0.0546 - top_k_categorical_accuracy: 0.9710 9920/15968 [=================>............] - ETA: 1:12 - loss: 0.0546 - top_k_categorical_accuracy: 0.9711 9952/15968 [=================>............] - ETA: 1:12 - loss: 0.0546 - top_k_categorical_accuracy: 0.9712INFO 29-May 07:55:32 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 9984/15968 [=================>............] - ETA: 1:11 - loss: 0.0546 - top_k_categorical_accuracy: 0.9712 10016/15968 [=================>............] - ETA: 1:11 - loss: 0.0545 - top_k_categorical_accuracy: 0.9712 10048/15968 [=================>............] - ETA: 1:11 - loss: 0.0545 - top_k_categorical_accuracy: 0.9711 10080/15968 [=================>............] - ETA: 1:10 - loss: 0.0545 - top_k_categorical_accuracy: 0.9710 10112/15968 [=================>............] - ETA: 1:10 - loss: 0.0544 - top_k_categorical_accuracy: 0.9710 10144/15968 [==================>...........] - 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top_k_categorical_accuracy: 0.9713 10464/15968 [==================>...........] - ETA: 1:06 - loss: 0.0544 - top_k_categorical_accuracy: 0.9714INFO 29-May 07:55:38 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 10496/15968 [==================>...........] - ETA: 1:05 - loss: 0.0545 - top_k_categorical_accuracy: 0.9711 10528/15968 [==================>...........] - ETA: 1:05 - loss: 0.0545 - top_k_categorical_accuracy: 0.9712 10560/15968 [==================>...........] - ETA: 1:04 - loss: 0.0545 - top_k_categorical_accuracy: 0.9713 10592/15968 [==================>...........] - ETA: 1:04 - loss: 0.0545 - top_k_categorical_accuracy: 0.9714 10624/15968 [==================>...........] - ETA: 1:04 - loss: 0.0545 - top_k_categorical_accuracy: 0.9715 10656/15968 [===================>..........] - ETA: 1:03 - loss: 0.0544 - top_k_categorical_accuracy: 0.9716 10688/15968 [===================>..........] - ETA: 1:03 - loss: 0.0544 - top_k_categorical_accuracy: 0.9716 10720/15968 [===================>..........] - 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ETA: 59s - loss: 0.0544 - top_k_categorical_accuracy: 0.9716 11040/15968 [===================>..........] - ETA: 59s - loss: 0.0543 - top_k_categorical_accuracy: 0.9716 11072/15968 [===================>..........] - ETA: 58s - loss: 0.0543 - top_k_categorical_accuracy: 0.9715 11104/15968 [===================>..........] - ETA: 58s - loss: 0.0544 - top_k_categorical_accuracy: 0.9713 11136/15968 [===================>..........] - ETA: 57s - loss: 0.0544 - top_k_categorical_accuracy: 0.9712 11168/15968 [===================>..........] - ETA: 57s - loss: 0.0544 - top_k_categorical_accuracy: 0.9711 11200/15968 [====================>.........] - ETA: 57s - loss: 0.0544 - top_k_categorical_accuracy: 0.9712 11232/15968 [====================>.........] - ETA: 56s - loss: 0.0544 - top_k_categorical_accuracy: 0.9712 11264/15968 [====================>.........] - ETA: 56s - loss: 0.0544 - top_k_categorical_accuracy: 0.9712 11296/15968 [====================>.........] - ETA: 56s - loss: 0.0544 - top_k_categorical_accuracy: 0.9711 11328/15968 [====================>.........] - 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ETA: 3:06 - loss: 0.0450 - top_k_categorical_accuracy: 0.9833 512/15968 [..............................] - ETA: 3:06 - loss: 0.0459 - top_k_categorical_accuracy: 0.9824 544/15968 [>.............................] - ETA: 3:05 - loss: 0.0460 - top_k_categorical_accuracy: 0.9816 576/15968 [>.............................] - ETA: 3:05 - loss: 0.0458 - top_k_categorical_accuracy: 0.9826INFO 29-May 07:56:51 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 608/15968 [>.............................] - ETA: 3:05 - loss: 0.0456 - top_k_categorical_accuracy: 0.9803 640/15968 [>.............................] - ETA: 3:04 - loss: 0.0458 - top_k_categorical_accuracy: 0.9812 672/15968 [>.............................] - ETA: 3:04 - loss: 0.0454 - top_k_categorical_accuracy: 0.9792 704/15968 [>.............................] - ETA: 3:04 - loss: 0.0462 - top_k_categorical_accuracy: 0.9787 736/15968 [>.............................] - ETA: 3:03 - loss: 0.0461 - top_k_categorical_accuracy: 0.9783 768/15968 [>.............................] - 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ETA: 2:59 - loss: 0.0468 - top_k_categorical_accuracy: 0.9761 1120/15968 [=>............................] - ETA: 2:58 - loss: 0.0471 - top_k_categorical_accuracy: 0.9750 1152/15968 [=>............................] - ETA: 2:58 - loss: 0.0473 - top_k_categorical_accuracy: 0.9757 1184/15968 [=>............................] - ETA: 2:57 - loss: 0.0476 - top_k_categorical_accuracy: 0.9764 1216/15968 [=>............................] - ETA: 2:57 - loss: 0.0474 - top_k_categorical_accuracy: 0.9770 1248/15968 [=>............................] - ETA: 2:57 - loss: 0.0474 - top_k_categorical_accuracy: 0.9768 1280/15968 [=>............................] - ETA: 2:56 - loss: 0.0474 - top_k_categorical_accuracy: 0.9773 1312/15968 [=>............................] - ETA: 2:56 - loss: 0.0480 - top_k_categorical_accuracy: 0.9764 1344/15968 [=>............................] - ETA: 2:55 - loss: 0.0480 - top_k_categorical_accuracy: 0.9769 1376/15968 [=>............................] - ETA: 2:55 - loss: 0.0482 - top_k_categorical_accuracy: 0.9775 1408/15968 [=>............................] - ETA: 2:55 - loss: 0.0483 - top_k_categorical_accuracy: 0.9766 1440/15968 [=>............................] - ETA: 2:54 - loss: 0.0485 - top_k_categorical_accuracy: 0.9764 1472/15968 [=>............................] - ETA: 2:54 - loss: 0.0483 - top_k_categorical_accuracy: 0.9769 1504/15968 [=>............................] - ETA: 2:53 - loss: 0.0483 - top_k_categorical_accuracy: 0.9761 1536/15968 [=>............................] - ETA: 2:53 - loss: 0.0482 - top_k_categorical_accuracy: 0.9759 1568/15968 [=>............................] - ETA: 2:53 - loss: 0.0481 - top_k_categorical_accuracy: 0.9758INFO 29-May 07:57:03 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 1600/15968 [==>...........................] - ETA: 2:52 - loss: 0.0478 - top_k_categorical_accuracy: 0.9756 1632/15968 [==>...........................] - ETA: 2:52 - loss: 0.0476 - top_k_categorical_accuracy: 0.9761 1664/15968 [==>...........................] - ETA: 2:52 - loss: 0.0477 - top_k_categorical_accuracy: 0.9760 1696/15968 [==>...........................] - ETA: 2:51 - loss: 0.0478 - top_k_categorical_accuracy: 0.9758 1728/15968 [==>...........................] - ETA: 2:51 - loss: 0.0481 - top_k_categorical_accuracy: 0.9751 1760/15968 [==>...........................] - ETA: 2:51 - loss: 0.0479 - top_k_categorical_accuracy: 0.9756 1792/15968 [==>...........................] - ETA: 2:50 - loss: 0.0478 - top_k_categorical_accuracy: 0.9754 1824/15968 [==>...........................] - ETA: 2:50 - loss: 0.0478 - top_k_categorical_accuracy: 0.9753 1856/15968 [==>...........................] - ETA: 2:50 - loss: 0.0475 - top_k_categorical_accuracy: 0.9758 1888/15968 [==>...........................] - ETA: 2:49 - loss: 0.0476 - top_k_categorical_accuracy: 0.9756 1920/15968 [==>...........................] - ETA: 2:49 - loss: 0.0474 - top_k_categorical_accuracy: 0.9760 1952/15968 [==>...........................] - ETA: 2:48 - loss: 0.0474 - top_k_categorical_accuracy: 0.9764 1984/15968 [==>...........................] - ETA: 2:48 - loss: 0.0473 - top_k_categorical_accuracy: 0.9768 2016/15968 [==>...........................] - ETA: 2:48 - loss: 0.0472 - top_k_categorical_accuracy: 0.9767 2048/15968 [==>...........................] - ETA: 2:47 - loss: 0.0469 - top_k_categorical_accuracy: 0.9771INFO 29-May 07:57:09 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 2080/15968 [==>...........................] - ETA: 2:47 - loss: 0.0470 - top_k_categorical_accuracy: 0.9769 2112/15968 [==>...........................] - ETA: 2:46 - loss: 0.0473 - top_k_categorical_accuracy: 0.9773 2144/15968 [===>..........................] - ETA: 2:46 - loss: 0.0474 - top_k_categorical_accuracy: 0.9776 2176/15968 [===>..........................] - ETA: 2:46 - loss: 0.0474 - top_k_categorical_accuracy: 0.9775 2208/15968 [===>..........................] - ETA: 2:45 - loss: 0.0473 - top_k_categorical_accuracy: 0.9778 2240/15968 [===>..........................] - ETA: 2:45 - loss: 0.0474 - top_k_categorical_accuracy: 0.9777 2272/15968 [===>..........................] - ETA: 2:44 - loss: 0.0474 - top_k_categorical_accuracy: 0.9780 2304/15968 [===>..........................] - ETA: 2:44 - loss: 0.0475 - top_k_categorical_accuracy: 0.9783 2336/15968 [===>..........................] - ETA: 2:44 - loss: 0.0473 - top_k_categorical_accuracy: 0.9786 2368/15968 [===>..........................] - ETA: 2:43 - loss: 0.0475 - top_k_categorical_accuracy: 0.9780 2400/15968 [===>..........................] - ETA: 2:43 - loss: 0.0475 - top_k_categorical_accuracy: 0.9783 2432/15968 [===>..........................] - ETA: 2:42 - loss: 0.0475 - top_k_categorical_accuracy: 0.9786 2464/15968 [===>..........................] - ETA: 2:42 - loss: 0.0474 - top_k_categorical_accuracy: 0.9781 2496/15968 [===>..........................] - ETA: 2:41 - loss: 0.0472 - top_k_categorical_accuracy: 0.9780 2528/15968 [===>..........................] - ETA: 2:41 - loss: 0.0470 - top_k_categorical_accuracy: 0.9782 2560/15968 [===>..........................] - ETA: 2:41 - loss: 0.0468 - top_k_categorical_accuracy: 0.9781INFO 29-May 07:57:15 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db 2592/15968 [===>..........................] - ETA: 2:40 - loss: 0.0468 - top_k_categorical_accuracy: 0.9780 2624/15968 [===>..........................] - ETA: 2:40 - loss: 0.0469 - top_k_categorical_accuracy: 0.9779 2656/15968 [===>..........................] - ETA: 2:40 - loss: 0.0468 - top_k_categorical_accuracy: 0.9782 2688/15968 [====>.........................] - ETA: 2:39 - loss: 0.0468 - top_k_categorical_accuracy: 0.9784 2720/15968 [====>.........................] - ETA: 2:39 - loss: 0.0471 - top_k_categorical_accuracy: 0.9779 2752/15968 [====>.........................] - ETA: 2:38 - loss: 0.0472 - top_k_categorical_accuracy: 0.9778 2784/15968 [====>.........................] - ETA: 2:38 - loss: 0.0472 - top_k_categorical_accuracy: 0.9777 2816/15968 [====>.........................] - ETA: 2:38 - loss: 0.0473 - top_k_categorical_accuracy: 0.9780 2848/15968 [====>.........................] - ETA: 2:37 - loss: 0.0474 - top_k_categorical_accuracy: 0.9782 2880/15968 [====>.........................] - ETA: 2:37 - loss: 0.0476 - top_k_categorical_accuracy: 0.9771 2912/15968 [====>.........................] - ETA: 2:36 - loss: 0.0477 - top_k_categorical_accuracy: 0.9773 2944/15968 [====>.........................] - ETA: 2:36 - loss: 0.0478 - top_k_categorical_accuracy: 0.9776 2976/15968 [====>.........................] - ETA: 2:36 - loss: 0.0477 - top_k_categorical_accuracy: 0.9778 3008/15968 [====>.........................] - ETA: 2:35 - loss: 0.0476 - top_k_categorical_accuracy: 0.9781 3040/15968 [====>.........................] - ETA: 2:35 - loss: 0.0476 - top_k_categorical_accuracy: 0.9776 3072/15968 [====>.........................] - ETA: 2:35 - loss: 0.0476 - top_k_categorical_accuracy: 0.9769INFO 29-May 07:57:21 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 3104/15968 [====>.........................] - ETA: 2:34 - loss: 0.0477 - top_k_categorical_accuracy: 0.9768 3136/15968 [====>.........................] - ETA: 2:34 - loss: 0.0478 - top_k_categorical_accuracy: 0.9770 3168/15968 [====>.........................] - ETA: 2:33 - loss: 0.0478 - top_k_categorical_accuracy: 0.9773 3200/15968 [=====>........................] - ETA: 2:33 - loss: 0.0477 - top_k_categorical_accuracy: 0.9769 3232/15968 [=====>........................] - ETA: 2:33 - loss: 0.0478 - top_k_categorical_accuracy: 0.9768 3264/15968 [=====>........................] - ETA: 2:32 - loss: 0.0479 - top_k_categorical_accuracy: 0.9767 3296/15968 [=====>........................] - ETA: 2:32 - loss: 0.0479 - top_k_categorical_accuracy: 0.9769 3328/15968 [=====>........................] - ETA: 2:32 - loss: 0.0479 - top_k_categorical_accuracy: 0.9766 3360/15968 [=====>........................] - ETA: 2:31 - loss: 0.0480 - top_k_categorical_accuracy: 0.9768 3392/15968 [=====>........................] - ETA: 2:31 - loss: 0.0479 - top_k_categorical_accuracy: 0.9770 3424/15968 [=====>........................] - ETA: 2:30 - loss: 0.0479 - top_k_categorical_accuracy: 0.9769 3456/15968 [=====>........................] - ETA: 2:30 - loss: 0.0478 - top_k_categorical_accuracy: 0.9771 3488/15968 [=====>........................] - ETA: 2:30 - loss: 0.0477 - top_k_categorical_accuracy: 0.9774 3520/15968 [=====>........................] - ETA: 2:29 - loss: 0.0476 - top_k_categorical_accuracy: 0.9770 3552/15968 [=====>........................] - ETA: 2:29 - loss: 0.0476 - top_k_categorical_accuracy: 0.9769INFO 29-May 07:57:27 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 3584/15968 [=====>........................] - ETA: 2:29 - loss: 0.0477 - top_k_categorical_accuracy: 0.9771 3616/15968 [=====>........................] - ETA: 2:28 - loss: 0.0478 - top_k_categorical_accuracy: 0.9770 3648/15968 [=====>........................] - ETA: 2:28 - loss: 0.0479 - top_k_categorical_accuracy: 0.9772 3680/15968 [=====>........................] - ETA: 2:27 - loss: 0.0479 - top_k_categorical_accuracy: 0.9772 3712/15968 [=====>........................] - ETA: 2:27 - loss: 0.0479 - top_k_categorical_accuracy: 0.9771 3744/15968 [======>.......................] - ETA: 2:27 - loss: 0.0479 - top_k_categorical_accuracy: 0.9770 3776/15968 [======>.......................] - ETA: 2:26 - loss: 0.0480 - top_k_categorical_accuracy: 0.9770 3808/15968 [======>.......................] - ETA: 2:26 - loss: 0.0479 - top_k_categorical_accuracy: 0.9766 3840/15968 [======>.......................] - ETA: 2:25 - loss: 0.0479 - top_k_categorical_accuracy: 0.9768 3872/15968 [======>.......................] - ETA: 2:25 - loss: 0.0479 - top_k_categorical_accuracy: 0.9770 3904/15968 [======>.......................] - ETA: 2:25 - loss: 0.0479 - top_k_categorical_accuracy: 0.9764 3936/15968 [======>.......................] - ETA: 2:24 - loss: 0.0481 - top_k_categorical_accuracy: 0.9761 3968/15968 [======>.......................] - ETA: 2:24 - loss: 0.0479 - top_k_categorical_accuracy: 0.9763 4000/15968 [======>.......................] - ETA: 2:23 - loss: 0.0479 - top_k_categorical_accuracy: 0.9765 4032/15968 [======>.......................] - ETA: 2:23 - loss: 0.0480 - top_k_categorical_accuracy: 0.9767 4064/15968 [======>.......................] - ETA: 2:23 - loss: 0.0481 - top_k_categorical_accuracy: 0.9766INFO 29-May 07:57:33 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 4096/15968 [======>.......................] - ETA: 2:22 - loss: 0.0481 - top_k_categorical_accuracy: 0.9768 4128/15968 [======>.......................] - ETA: 2:22 - loss: 0.0481 - top_k_categorical_accuracy: 0.9767 4160/15968 [======>.......................] - ETA: 2:22 - loss: 0.0480 - top_k_categorical_accuracy: 0.9767 4192/15968 [======>.......................] - ETA: 2:21 - loss: 0.0482 - top_k_categorical_accuracy: 0.9761 4224/15968 [======>.......................] - ETA: 2:21 - loss: 0.0483 - top_k_categorical_accuracy: 0.9761 4256/15968 [======>.......................] - ETA: 2:20 - loss: 0.0483 - top_k_categorical_accuracy: 0.9763 4288/15968 [=======>......................] - ETA: 2:20 - loss: 0.0483 - top_k_categorical_accuracy: 0.9760 4320/15968 [=======>......................] - ETA: 2:20 - loss: 0.0483 - top_k_categorical_accuracy: 0.9762 4352/15968 [=======>......................] - ETA: 2:19 - loss: 0.0485 - top_k_categorical_accuracy: 0.9759 4384/15968 [=======>......................] - ETA: 2:19 - loss: 0.0485 - top_k_categorical_accuracy: 0.9760 4416/15968 [=======>......................] - ETA: 2:18 - loss: 0.0484 - top_k_categorical_accuracy: 0.9758 4448/15968 [=======>......................] - ETA: 2:18 - loss: 0.0485 - top_k_categorical_accuracy: 0.9757 4480/15968 [=======>......................] - ETA: 2:18 - loss: 0.0486 - top_k_categorical_accuracy: 0.9757 4512/15968 [=======>......................] - ETA: 2:17 - loss: 0.0486 - top_k_categorical_accuracy: 0.9754 4544/15968 [=======>......................] - ETA: 2:17 - loss: 0.0485 - top_k_categorical_accuracy: 0.9756INFO 29-May 07:57:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 4576/15968 [=======>......................] - ETA: 2:17 - loss: 0.0484 - top_k_categorical_accuracy: 0.9757 4608/15968 [=======>......................] - ETA: 2:16 - loss: 0.0483 - top_k_categorical_accuracy: 0.9757 4640/15968 [=======>......................] - ETA: 2:16 - loss: 0.0483 - top_k_categorical_accuracy: 0.9759 4672/15968 [=======>......................] - ETA: 2:15 - loss: 0.0482 - top_k_categorical_accuracy: 0.9760 4704/15968 [=======>......................] - ETA: 2:15 - loss: 0.0482 - top_k_categorical_accuracy: 0.9762 4736/15968 [=======>......................] - ETA: 2:15 - loss: 0.0481 - top_k_categorical_accuracy: 0.9761 4768/15968 [=======>......................] - ETA: 2:14 - loss: 0.0481 - top_k_categorical_accuracy: 0.9759 4800/15968 [========>.....................] - ETA: 2:14 - loss: 0.0480 - top_k_categorical_accuracy: 0.9760 4832/15968 [========>.....................] - ETA: 2:13 - loss: 0.0479 - top_k_categorical_accuracy: 0.9760 4864/15968 [========>.....................] - ETA: 2:13 - loss: 0.0480 - top_k_categorical_accuracy: 0.9762 4896/15968 [========>.....................] - ETA: 2:13 - loss: 0.0479 - top_k_categorical_accuracy: 0.9763 4928/15968 [========>.....................] - ETA: 2:12 - loss: 0.0480 - top_k_categorical_accuracy: 0.9763 4960/15968 [========>.....................] - ETA: 2:12 - loss: 0.0480 - top_k_categorical_accuracy: 0.9764 4992/15968 [========>.....................] - ETA: 2:11 - loss: 0.0480 - top_k_categorical_accuracy: 0.9764 5024/15968 [========>.....................] - ETA: 2:11 - loss: 0.0479 - top_k_categorical_accuracy: 0.9763 5056/15968 [========>.....................] - ETA: 2:11 - loss: 0.0479 - top_k_categorical_accuracy: 0.9763INFO 29-May 07:57:45 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 5088/15968 [========>.....................] - ETA: 2:10 - loss: 0.0479 - top_k_categorical_accuracy: 0.9760 5120/15968 [========>.....................] - ETA: 2:10 - loss: 0.0479 - top_k_categorical_accuracy: 0.9760 5152/15968 [========>.....................] - ETA: 2:10 - loss: 0.0478 - top_k_categorical_accuracy: 0.9761 5184/15968 [========>.....................] - ETA: 2:09 - loss: 0.0478 - top_k_categorical_accuracy: 0.9761 5216/15968 [========>.....................] - ETA: 2:09 - loss: 0.0479 - top_k_categorical_accuracy: 0.9758 5248/15968 [========>.....................] - ETA: 2:08 - loss: 0.0478 - top_k_categorical_accuracy: 0.9760 5280/15968 [========>.....................] - ETA: 2:08 - loss: 0.0481 - top_k_categorical_accuracy: 0.9754 5312/15968 [========>.....................] - ETA: 2:08 - loss: 0.0480 - top_k_categorical_accuracy: 0.9755 5344/15968 [=========>....................] - ETA: 2:07 - loss: 0.0481 - top_k_categorical_accuracy: 0.9755 5376/15968 [=========>....................] - ETA: 2:07 - loss: 0.0480 - top_k_categorical_accuracy: 0.9756 5408/15968 [=========>....................] - ETA: 2:07 - loss: 0.0481 - top_k_categorical_accuracy: 0.9756 5440/15968 [=========>....................] - ETA: 2:06 - loss: 0.0481 - top_k_categorical_accuracy: 0.9757 5472/15968 [=========>....................] - ETA: 2:06 - loss: 0.0480 - top_k_categorical_accuracy: 0.9757 5504/15968 [=========>....................] - ETA: 2:05 - loss: 0.0479 - top_k_categorical_accuracy: 0.9758 5536/15968 [=========>....................] - ETA: 2:05 - loss: 0.0480 - top_k_categorical_accuracy: 0.9758 5568/15968 [=========>....................] - ETA: 2:05 - loss: 0.0481 - top_k_categorical_accuracy: 0.9759 5600/15968 [=========>....................] - ETA: 2:04 - loss: 0.0481 - top_k_categorical_accuracy: 0.9761 5632/15968 [=========>....................] - ETA: 2:04 - loss: 0.0482 - top_k_categorical_accuracy: 0.9759INFO 29-May 07:57:52 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db 5664/15968 [=========>....................] - ETA: 2:03 - loss: 0.0482 - top_k_categorical_accuracy: 0.9758 5696/15968 [=========>....................] - ETA: 2:03 - loss: 0.0482 - top_k_categorical_accuracy: 0.9759 5728/15968 [=========>....................] - ETA: 2:03 - loss: 0.0481 - top_k_categorical_accuracy: 0.9759 5760/15968 [=========>....................] - ETA: 2:02 - loss: 0.0481 - top_k_categorical_accuracy: 0.9760 5792/15968 [=========>....................] - ETA: 2:02 - loss: 0.0480 - top_k_categorical_accuracy: 0.9762 5824/15968 [=========>....................] - ETA: 2:02 - loss: 0.0480 - top_k_categorical_accuracy: 0.9763 5856/15968 [==========>...................] - ETA: 2:01 - loss: 0.0480 - top_k_categorical_accuracy: 0.9764 5888/15968 [==========>...................] - ETA: 2:01 - loss: 0.0480 - top_k_categorical_accuracy: 0.9766 5920/15968 [==========>...................] - ETA: 2:00 - loss: 0.0480 - top_k_categorical_accuracy: 0.9767 5952/15968 [==========>...................] - ETA: 2:00 - loss: 0.0481 - top_k_categorical_accuracy: 0.9766 5984/15968 [==========>...................] - ETA: 2:00 - loss: 0.0482 - top_k_categorical_accuracy: 0.9766 6016/15968 [==========>...................] - ETA: 1:59 - loss: 0.0481 - top_k_categorical_accuracy: 0.9767 6048/15968 [==========>...................] - ETA: 1:59 - loss: 0.0481 - top_k_categorical_accuracy: 0.9767 6080/15968 [==========>...................] - ETA: 1:58 - loss: 0.0481 - top_k_categorical_accuracy: 0.9766 6112/15968 [==========>...................] - ETA: 1:58 - loss: 0.0482 - top_k_categorical_accuracy: 0.9766 6144/15968 [==========>...................] - ETA: 1:58 - loss: 0.0482 - top_k_categorical_accuracy: 0.9767INFO 29-May 07:57:58 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 6176/15968 [==========>...................] - ETA: 1:57 - loss: 0.0481 - top_k_categorical_accuracy: 0.9768 6208/15968 [==========>...................] - 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ETA: 1:53 - loss: 0.0482 - top_k_categorical_accuracy: 0.9764 6560/15968 [===========>..................] - ETA: 1:53 - loss: 0.0482 - top_k_categorical_accuracy: 0.9764 6592/15968 [===========>..................] - ETA: 1:52 - loss: 0.0482 - top_k_categorical_accuracy: 0.9765 6624/15968 [===========>..................] - ETA: 1:52 - loss: 0.0482 - top_k_categorical_accuracy: 0.9764INFO 29-May 07:58:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db 6656/15968 [===========>..................] - ETA: 1:52 - loss: 0.0482 - top_k_categorical_accuracy: 0.9766 6688/15968 [===========>..................] - ETA: 1:51 - loss: 0.0481 - top_k_categorical_accuracy: 0.9767 6720/15968 [===========>..................] - ETA: 1:51 - loss: 0.0481 - top_k_categorical_accuracy: 0.9768 6752/15968 [===========>..................] - ETA: 1:50 - loss: 0.0480 - top_k_categorical_accuracy: 0.9767 6784/15968 [===========>..................] - ETA: 1:50 - loss: 0.0482 - top_k_categorical_accuracy: 0.9763 6816/15968 [===========>..................] - 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ETA: 1:46 - loss: 0.0482 - top_k_categorical_accuracy: 0.9759INFO 29-May 07:58:10 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 7168/15968 [============>.................] - ETA: 1:45 - loss: 0.0483 - top_k_categorical_accuracy: 0.9759 7200/15968 [============>.................] - ETA: 1:45 - loss: 0.0483 - top_k_categorical_accuracy: 0.9760 7232/15968 [============>.................] - ETA: 1:45 - loss: 0.0483 - top_k_categorical_accuracy: 0.9761 7264/15968 [============>.................] - ETA: 1:44 - loss: 0.0483 - top_k_categorical_accuracy: 0.9762 7296/15968 [============>.................] - ETA: 1:44 - loss: 0.0483 - top_k_categorical_accuracy: 0.9763 7328/15968 [============>.................] - ETA: 1:43 - loss: 0.0484 - top_k_categorical_accuracy: 0.9760 7360/15968 [============>.................] - ETA: 1:43 - loss: 0.0483 - top_k_categorical_accuracy: 0.9761 7392/15968 [============>.................] - ETA: 1:43 - loss: 0.0484 - top_k_categorical_accuracy: 0.9759 7424/15968 [============>.................] - 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ETA: 1:38 - loss: 0.0484 - top_k_categorical_accuracy: 0.9761 7776/15968 [=============>................] - ETA: 1:38 - loss: 0.0484 - top_k_categorical_accuracy: 0.9761 7808/15968 [=============>................] - ETA: 1:38 - loss: 0.0484 - top_k_categorical_accuracy: 0.9762 7840/15968 [=============>................] - ETA: 1:37 - loss: 0.0484 - top_k_categorical_accuracy: 0.9761 7872/15968 [=============>................] - ETA: 1:37 - loss: 0.0484 - top_k_categorical_accuracy: 0.9762 7904/15968 [=============>................] - ETA: 1:37 - loss: 0.0484 - top_k_categorical_accuracy: 0.9763 7936/15968 [=============>................] - ETA: 1:36 - loss: 0.0484 - top_k_categorical_accuracy: 0.9764 7968/15968 [=============>................] - ETA: 1:36 - loss: 0.0484 - top_k_categorical_accuracy: 0.9765 8000/15968 [==============>...............] - ETA: 1:35 - loss: 0.0484 - top_k_categorical_accuracy: 0.9764 8032/15968 [==============>...............] - ETA: 1:35 - loss: 0.0485 - top_k_categorical_accuracy: 0.9762 8064/15968 [==============>...............] - 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ETA: 1:20 - loss: 0.0490 - top_k_categorical_accuracy: 0.9756 9280/15968 [================>.............] - ETA: 1:20 - loss: 0.0490 - top_k_categorical_accuracy: 0.9755 9312/15968 [================>.............] - ETA: 1:20 - loss: 0.0490 - top_k_categorical_accuracy: 0.9756 9344/15968 [================>.............] - ETA: 1:19 - loss: 0.0490 - top_k_categorical_accuracy: 0.9757 9376/15968 [================>.............] - ETA: 1:19 - loss: 0.0490 - top_k_categorical_accuracy: 0.9757 9408/15968 [================>.............] - ETA: 1:18 - loss: 0.0489 - top_k_categorical_accuracy: 0.9758 9440/15968 [================>.............] - ETA: 1:18 - loss: 0.0489 - top_k_categorical_accuracy: 0.9758 9472/15968 [================>.............] - ETA: 1:18 - loss: 0.0489 - top_k_categorical_accuracy: 0.9759 9504/15968 [================>.............] - ETA: 1:17 - loss: 0.0489 - top_k_categorical_accuracy: 0.9760 9536/15968 [================>.............] - ETA: 1:17 - loss: 0.0488 - top_k_categorical_accuracy: 0.9761 9568/15968 [================>.............] - 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top_k_categorical_accuracy: 0.9762INFO 29-May 07:58:53 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.95ms cal_jobs_db 10752/15968 [===================>..........] - ETA: 1:02 - loss: 0.0487 - top_k_categorical_accuracy: 0.9763 10784/15968 [===================>..........] - ETA: 1:02 - loss: 0.0487 - top_k_categorical_accuracy: 0.9763 10816/15968 [===================>..........] - ETA: 1:01 - loss: 0.0487 - top_k_categorical_accuracy: 0.9763 10848/15968 [===================>..........] - ETA: 1:01 - loss: 0.0487 - top_k_categorical_accuracy: 0.9763 10880/15968 [===================>..........] - ETA: 1:01 - loss: 0.0487 - top_k_categorical_accuracy: 0.9762 10912/15968 [===================>..........] - ETA: 1:00 - loss: 0.0488 - top_k_categorical_accuracy: 0.9763 10944/15968 [===================>..........] - ETA: 1:00 - loss: 0.0487 - top_k_categorical_accuracy: 0.9763 10976/15968 [===================>..........] - ETA: 1:00 - loss: 0.0488 - top_k_categorical_accuracy: 0.9762 11008/15968 [===================>..........] - 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ETA: 8s - loss: 0.0485 - top_k_categorical_accuracy: 0.9771 15296/15968 [===========================>..] - ETA: 8s - loss: 0.0485 - top_k_categorical_accuracy: 0.9771 15328/15968 [===========================>..] - ETA: 7s - loss: 0.0486 - top_k_categorical_accuracy: 0.9770 15360/15968 [===========================>..] - ETA: 7s - loss: 0.0486 - top_k_categorical_accuracy: 0.9770INFO 29-May 07:59:49 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 15392/15968 [===========================>..] - ETA: 6s - loss: 0.0486 - top_k_categorical_accuracy: 0.9769 15424/15968 [===========================>..] - ETA: 6s - loss: 0.0485 - top_k_categorical_accuracy: 0.9770 15456/15968 [============================>.] - ETA: 6s - loss: 0.0486 - top_k_categorical_accuracy: 0.9770 15488/15968 [============================>.] - ETA: 5s - loss: 0.0485 - top_k_categorical_accuracy: 0.9770 15520/15968 [============================>.] - ETA: 5s - loss: 0.0485 - top_k_categorical_accuracy: 0.9770 15552/15968 [============================>.] - 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ETA: 1s - loss: 0.0486 - top_k_categorical_accuracy: 0.9771 15904/15968 [============================>.] - ETA: 0s - loss: 0.0486 - top_k_categorical_accuracy: 0.9771 15936/15968 [============================>.] - ETA: 0s - loss: 0.0486 - top_k_categorical_accuracy: 0.9772 15968/15968 [==============================] - 192s 12ms/step - loss: 0.0486 - top_k_categorical_accuracy: 0.9772 INFO 29-May 07:59:56 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.94ms cal_jobs_db INFO 29-May 08:00:02 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:00:02 __init__ 8002 200 POST /job_results (27.34.250.34) 1.07ms cal_job_result INFO 29-May 08:00:02 __init__ 8002 200 GET /get_project (27.34.250.34) 5.37ms cal_write_file INFO 29-May 08:00:02 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.96ms cal_activity_log INFO 29-May 08:00:02 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.86ms cal_activity_log INFO 29-May 08:07:32 __init__ 8002 200 POST /eval_model (27.34.250.34) 2.99ms cal_eval_model INFO 29-May 08:07:32 __init__ 8002 200 POST /activity_log (27.34.250.34) 13.14ms cal_activity_log INFO 29-May 08:07:32 __init__ 8002 200 POST /jobs_db (27.34.250.34) 2.71ms cal_jobs_db 2019-05-29 08:07:32.855401: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-05-29 08:07:35.418001: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 08:07:35.418091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 08:07:35.418107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 08:07:35.418116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 08:07:35.418229: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 08:07:38 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 32/4000 [..............................] - ETA: 2:21 64/4000 [..............................] - ETA: 1:34 96/4000 [..............................] - 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ETA: 0s 4000/4000 [==============================] - 45s 11ms/step INFO 29-May 08:08:27 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 08:08:32 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:08:38 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:08:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:08:48 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 29-May 08:08:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 29-May 08:08:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 29-May 08:09:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:09:10 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.97ms cal_jobs_db INFO 29-May 08:09:11 __init__ 8002 200 POST /job_results (27.34.250.34) 0.97ms cal_job_result INFO 29-May 08:09:11 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.93ms cal_activity_log INFO 29-May 08:11:49 __init__ 8002 200 POST /eval_model (27.34.250.34) 3.16ms cal_eval_model INFO 29-May 08:11:49 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.97ms cal_activity_log INFO 29-May 08:11:49 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.66ms cal_jobs_db 2019-05-29 08:11:49.887728: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-05-29 08:11:52.546941: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 08:11:52.547033: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 08:11:52.547049: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 08:11:52.547058: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 08:11:52.547185: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 08:11:55 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 32/4000 [..............................] - ETA: 2:22 64/4000 [..............................] - ETA: 1:35 96/4000 [..............................] - 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ETA: 18s 2368/4000 [================>.............] - ETA: 18sINFO 29-May 08:12:22 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.06ms cal_jobs_db 2400/4000 [=================>............] - ETA: 18s 2432/4000 [=================>............] - ETA: 17s 2464/4000 [=================>............] - ETA: 17s 2496/4000 [=================>............] - ETA: 17s 2528/4000 [=================>............] - ETA: 16s 2560/4000 [==================>...........] - ETA: 16s 2592/4000 [==================>...........] - ETA: 15s 2624/4000 [==================>...........] - ETA: 15s 2656/4000 [==================>...........] - ETA: 15s 2688/4000 [===================>..........] - ETA: 14s 2720/4000 [===================>..........] - ETA: 14s 2752/4000 [===================>..........] - ETA: 14s 2784/4000 [===================>..........] - ETA: 13s 2816/4000 [====================>.........] - ETA: 13s 2848/4000 [====================>.........] - ETA: 13s 2880/4000 [====================>.........] - ETA: 12s 2912/4000 [====================>.........] - ETA: 12sINFO 29-May 08:12:28 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db 2944/4000 [=====================>........] - ETA: 11s 2976/4000 [=====================>........] - ETA: 11s 3008/4000 [=====================>........] - ETA: 11s 3040/4000 [=====================>........] - ETA: 10s 3072/4000 [======================>.......] - ETA: 10s 3104/4000 [======================>.......] - ETA: 10s 3136/4000 [======================>.......] - ETA: 9s 3168/4000 [======================>.......] - ETA: 9s 3200/4000 [=======================>......] - ETA: 9s 3232/4000 [=======================>......] - ETA: 8s 3264/4000 [=======================>......] - ETA: 8s 3296/4000 [=======================>......] - ETA: 7s 3328/4000 [=======================>......] - ETA: 7s 3360/4000 [========================>.....] - ETA: 7s 3392/4000 [========================>.....] - ETA: 6sINFO 29-May 08:12:33 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 3424/4000 [========================>.....] - ETA: 6s 3456/4000 [========================>.....] - ETA: 6s 3488/4000 [=========================>....] - ETA: 5s 3520/4000 [=========================>....] - ETA: 5s 3552/4000 [=========================>....] - ETA: 5s 3584/4000 [=========================>....] - ETA: 4s 3616/4000 [==========================>...] - ETA: 4s 3648/4000 [==========================>...] - ETA: 3s 3680/4000 [==========================>...] - ETA: 3s 3712/4000 [==========================>...] - ETA: 3s 3744/4000 [===========================>..] - ETA: 2s 3776/4000 [===========================>..] - ETA: 2s 3808/4000 [===========================>..] - ETA: 2s 3840/4000 [===========================>..] - ETA: 1s 3872/4000 [============================>.] - ETA: 1s 3904/4000 [============================>.] - ETA: 1sINFO 29-May 08:12:38 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 3936/4000 [============================>.] - ETA: 0s 3968/4000 [============================>.] - ETA: 0s 4000/4000 [==============================] - 45s 11ms/step INFO 29-May 08:12:44 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 08:12:49 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:12:55 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.91ms cal_jobs_db INFO 29-May 08:13:00 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 29-May 08:13:06 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:13:12 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:13:17 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:13:22 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:13:27 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db INFO 29-May 08:13:28 __init__ 8002 200 POST /job_results (27.34.250.34) 0.90ms cal_job_result INFO 29-May 08:13:28 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.91ms cal_activity_log INFO 29-May 08:14:39 __init__ 8002 200 POST /run_model (27.34.250.34) 2.55ms cal_run_model [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/mot_class/data.xlsx' INFO 29-May 08:14:40 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.93ms cal_activity_log INFO 29-May 08:14:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.65ms cal_jobs_db INFO 29-May 08:14:45 __init__ 8002 200 GET /?p_name=MOT_class&jobid=4&activity=run (27.34.250.34) 1.53ms default INFO 29-May 08:14:45 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.74ms cal_jobs_db INFO 29-May 08:14:45 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 1.15ms apps/ui/bootstrap4-0rtIN INFO 29-May 08:14:45 __init__ 8002 304 GET /css/common.css (27.34.250.34) 0.97ms default INFO 29-May 08:14:45 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.89ms default INFO 29-May 08:14:45 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.95ms default INFO 29-May 08:14:46 __init__ 8002 304 GET /get_project (27.34.250.34) 2.31ms cal_write_file INFO 29-May 08:14:46 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.93ms cal_activity_log INFO 29-May 08:14:46 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.70ms cal_activity_log INFO 29-May 08:14:54 __init__ 8002 200 POST /upload (27.34.250.34) 4.04ms cal_upload INFO 29-May 08:14:56 __init__ 8002 200 POST /run_model (27.34.250.34) 2.84ms cal_run_model INFO 29-May 08:14:56 __init__ 8002 200 POST /activity_log (27.34.250.34) 41.72ms cal_activity_log INFO 29-May 08:14:57 __init__ 8002 200 POST /jobs_db (27.34.250.34) 36.41ms cal_jobs_db 2019-05-29 08:14:57.345534: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-05-29 08:14:59.939320: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 08:14:59.939411: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 08:14:59.939426: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 08:14:59.939435: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 08:14:59.939553: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 08:15:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 08:15:09 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 08:15:14 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:15:19 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:15:25 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:15:30 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 29-May 08:15:35 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 08:15:41 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.12ms cal_jobs_db INFO 29-May 08:15:46 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 29-May 08:15:51 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 29-May 08:15:56 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:16:02 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:16:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:16:12 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 08:16:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:16:23 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:16:28 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:16:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:16:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 29-May 08:16:40 __init__ 8002 200 POST /job_results (27.34.250.34) 75.73ms cal_job_result INFO 29-May 08:17:12 __init__ 8002 200 GET /template/result_table.html (27.34.250.34) 1.26ms default INFO 29-May 08:17:12 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.73ms cal_activity_log INFO 29-May 08:17:35 __init__ 8002 200 GET /?p_name=MOT_class&jobid=5&activity=run (27.34.250.34) 1.52ms default INFO 29-May 08:17:38 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.93ms cal_activity_log INFO 29-May 08:17:38 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.71ms cal_activity_log INFO 29-May 08:18:18 __init__ 8002 200 POST /upload (27.34.250.34) 4.36ms cal_upload INFO 29-May 08:18:26 __init__ 8002 200 POST /run_model (27.34.250.34) 929.48ms cal_run_model INFO 29-May 08:18:26 __init__ 8002 200 POST /activity_log (27.34.250.34) 13.78ms cal_activity_log INFO 29-May 08:18:26 __init__ 8002 200 POST /jobs_db (27.34.250.34) 12.80ms cal_jobs_db 2019-05-29 08:18:27.724290: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-05-29 08:18:30.156132: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 08:18:30.156224: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 08:18:30.156240: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 08:18:30.156249: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 08:18:30.156374: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 08:18:32 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:18:37 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.23ms cal_jobs_db INFO 29-May 08:18:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 08:18:49 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:18:55 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.04ms cal_jobs_db INFO 29-May 08:19:03 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:19:09 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db INFO 29-May 08:19:16 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.94ms cal_jobs_db INFO 29-May 08:19:22 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db INFO 29-May 08:19:28 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.26ms cal_jobs_db INFO 29-May 08:19:33 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:19:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.96ms cal_jobs_db INFO 29-May 08:19:45 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:19:50 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:19:56 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:20:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:20:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:20:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 08:20:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:20:23 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:20:29 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:20:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db INFO 29-May 08:20:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 08:20:46 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:20:52 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 08:20:58 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:21:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.91ms cal_jobs_db INFO 29-May 08:21:10 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db INFO 29-May 08:21:15 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.26ms cal_jobs_db INFO 29-May 08:21:20 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 08:21:26 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 08:21:31 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 08:21:37 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db INFO 29-May 08:21:42 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 08:21:43 __init__ 8002 200 POST /job_results (27.34.250.34) 131.49ms cal_job_result INFO 29-May 08:22:41 __init__ 8002 304 GET /template/result_table.html (27.34.250.34) 1.23ms default INFO 29-May 08:22:41 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.85ms cal_activity_log DEBUG 29-May 08:26:46 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 29-May 09:03:19 __init__ 8002 304 GET / (106.207.134.199) 1.52ms default INFO 29-May 09:03:20 __init__ 8002 304 GET /ui/bootstraptheme.css (106.207.134.199) 1.12ms apps/ui/bootstrap4-0rtIN INFO 29-May 09:03:20 __init__ 8002 304 GET /css/common.css (106.207.134.199) 0.93ms default INFO 29-May 09:03:20 __init__ 8002 304 GET /img/gramener.png (106.207.134.199) 0.87ms default INFO 29-May 09:03:20 __init__ 8002 304 GET /js/main.js (106.207.134.199) 1.20ms default DEBUG 29-May 09:03:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:03:22 __init__ 8002 200 GET /get_project (106.207.134.199) 1.99ms cal_write_file INFO 29-May 09:03:22 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.94ms cal_activity_log DEBUG 29-May 09:03:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 29-May 09:03:29 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 29-May 09:03:29 __init__ 8002 200 POST /activity_log (106.207.134.199) 1.90ms cal_activity_log DEBUG 29-May 09:03:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:03:32 __init__ 8002 200 POST /activity_log (106.207.134.199) 1.93ms cal_activity_log INFO 29-May 09:03:36 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.96ms cal_activity_log DEBUG 29-May 09:03:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:05:07 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.94ms cal_activity_log INFO 29-May 09:05:11 __init__ 8002 200 POST /run_model (106.207.134.199) 1.71ms cal_run_model DEBUG 29-May 09:05:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:05:12 __init__ 8002 200 POST /activity_log (106.207.134.199) 62.31ms cal_activity_log INFO 29-May 09:05:12 __init__ 8002 200 POST /jobs_db (106.207.134.199) 16.56ms cal_jobs_db 2019-05-29 09:05:12.206522: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-05-29 09:05:14.647890: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 09:05:14.647983: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 09:05:14.647998: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 09:05:14.648008: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 09:05:14.648132: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 29-May 09:05:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:05:17 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:05:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:05:23 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:05:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:05:28 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.83ms cal_jobs_db INFO 29-May 09:05:30 __init__ 8002 200 POST /job_results (106.207.134.199) 101.28ms cal_job_result DEBUG 29-May 09:05:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:05:39 __init__ 8002 200 GET /template/result_table.html (106.207.134.199) 1.18ms default INFO 29-May 09:05:39 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.72ms cal_activity_log DEBUG 29-May 09:05:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:06:10 __init__ 8002 200 POST /activity_log (106.207.134.199) 1.07ms cal_activity_log DEBUG 29-May 09:06:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:06:14 __init__ 8002 200 POST /run_model (106.207.134.199) 1.61ms cal_run_model INFO 29-May 09:06:14 __init__ 8002 200 POST /activity_log (106.207.134.199) 41.89ms cal_activity_log INFO 29-May 09:06:14 __init__ 8002 200 POST /jobs_db (106.207.134.199) 41.59ms cal_jobs_db 2019-05-29 09:06:15.510862: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. DEBUG 29-May 09:06:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 2019-05-29 09:06:17.962820: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 09:06:17.962908: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 09:06:17.962923: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 09:06:17.962932: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 09:06:17.963056: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 09:06:20 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:06:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:06:26 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:06:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:06:32 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:06:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:06:37 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:06:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:06:42 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:06:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:06:48 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:06:51 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:06:53 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.84ms cal_jobs_db DEBUG 29-May 09:06:56 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:06:59 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:07:01 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:05 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.91ms cal_jobs_db DEBUG 29-May 09:07:06 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:11 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:07:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:17 __init__ 8002 200 POST /jobs_db (106.207.134.199) 1.11ms cal_jobs_db DEBUG 29-May 09:07:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:22 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:07:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:28 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:07:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:34 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:07:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:40 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.83ms cal_jobs_db DEBUG 29-May 09:07:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:46 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:07:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:51 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:07:51 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:07:56 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.88ms cal_jobs_db DEBUG 29-May 09:08:01 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:02 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.91ms cal_jobs_db DEBUG 29-May 09:08:06 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:07 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:08:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:13 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.93ms cal_jobs_db DEBUG 29-May 09:08:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:18 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.78ms cal_jobs_db DEBUG 29-May 09:08:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:24 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:08:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:29 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:08:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:36 __init__ 8002 200 POST /jobs_db (106.207.134.199) 1.17ms cal_jobs_db DEBUG 29-May 09:08:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:41 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.85ms cal_jobs_db DEBUG 29-May 09:08:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:47 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:08:51 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:52 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.86ms cal_jobs_db DEBUG 29-May 09:08:56 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:08:58 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:09:01 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:09:03 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.91ms cal_jobs_db DEBUG 29-May 09:09:06 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:09:09 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:09:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:09:14 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.83ms cal_jobs_db DEBUG 29-May 09:09:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:09:20 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:09:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:09:25 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.84ms cal_jobs_db DEBUG 29-May 09:09:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:09:31 __init__ 8002 200 POST /jobs_db (106.207.134.199) 1.17ms cal_jobs_db INFO 29-May 09:09:31 __init__ 8002 200 POST /job_results (106.207.134.199) 131.73ms cal_job_result DEBUG 29-May 09:09:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:09:43 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.94ms cal_activity_log DEBUG 29-May 09:09:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:14:28 __init__ 8002 304 GET / (106.207.134.199) 1.18ms default INFO 29-May 09:14:29 __init__ 8002 304 GET /ui/bootstraptheme.css (106.207.134.199) 1.33ms apps/ui/bootstrap4-0rtIN INFO 29-May 09:14:29 __init__ 8002 304 GET /css/common.css (106.207.134.199) 0.95ms default INFO 29-May 09:14:29 __init__ 8002 304 GET /img/gramener.png (106.207.134.199) 0.89ms default INFO 29-May 09:14:29 __init__ 8002 304 GET /js/main.js (106.207.134.199) 1.15ms default INFO 29-May 09:14:29 __init__ 8002 304 GET /get_project (106.207.134.199) 2.02ms cal_write_file INFO 29-May 09:14:30 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.93ms cal_activity_log DEBUG 29-May 09:14:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:14:37 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.94ms cal_activity_log INFO 29-May 09:14:40 __init__ 8002 200 POST /run_model (106.207.134.199) 1.68ms cal_run_model INFO 29-May 09:14:40 __init__ 8002 200 POST /activity_log (106.207.134.199) 57.15ms cal_activity_log INFO 29-May 09:14:40 __init__ 8002 200 POST /jobs_db (106.207.134.199) 41.54ms cal_jobs_db 2019-05-29 09:14:41.230902: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. DEBUG 29-May 09:14:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 2019-05-29 09:14:43.678624: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 09:14:43.678722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 09:14:43.678739: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 09:14:43.678749: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 09:14:43.678875: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 09:14:46 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:14:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:14:52 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:14:56 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:14:58 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:15:01 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:04 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.85ms cal_jobs_db DEBUG 29-May 09:15:06 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:10 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:15:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:16 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:15:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:22 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.83ms cal_jobs_db DEBUG 29-May 09:15:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:27 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:15:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:32 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:15:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:39 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:15:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:45 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:15:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:51 __init__ 8002 200 POST /jobs_db (106.207.134.199) 1.03ms cal_jobs_db DEBUG 29-May 09:15:51 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:15:57 __init__ 8002 200 POST /jobs_db (106.207.134.199) 1.03ms cal_jobs_db DEBUG 29-May 09:16:01 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:03 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.83ms cal_jobs_db DEBUG 29-May 09:16:06 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:09 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:16:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:15 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:16:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:20 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.87ms cal_jobs_db DEBUG 29-May 09:16:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:26 __init__ 8002 200 POST /jobs_db (106.207.134.199) 1.07ms cal_jobs_db DEBUG 29-May 09:16:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:31 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:16:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:36 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:16:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:42 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:16:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:47 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:16:51 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:52 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.83ms cal_jobs_db DEBUG 29-May 09:16:56 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:16:57 __init__ 8002 304 GET /ui/bootstraptheme.css (106.207.134.199) 1.16ms apps/ui/bootstrap4-0rtIN INFO 29-May 09:16:57 __init__ 8002 304 GET /css/common.css (106.207.134.199) 1.06ms default INFO 29-May 09:16:57 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js.map (106.207.134.199) 182.96ms apps/ui/static-9vbYU INFO 29-May 09:16:58 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js.map (106.207.134.199) 117.62ms apps/ui/static-9vbYU INFO 29-May 09:16:58 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.js.map (106.207.134.199) 45.80ms apps/ui/static-9vbYU INFO 29-May 09:16:58 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:17:01 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:17:06 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.86ms cal_jobs_db DEBUG 29-May 09:17:06 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:17:11 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.84ms cal_jobs_db DEBUG 29-May 09:17:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:17:17 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:17:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:17:23 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.91ms cal_jobs_db DEBUG 29-May 09:17:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:17:29 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.83ms cal_jobs_db DEBUG 29-May 09:17:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:17:34 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.84ms cal_jobs_db DEBUG 29-May 09:17:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:17:40 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:17:41 cache 8002 Flushing 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__init__ 8002 200 GET / (106.207.134.199) 1.46ms default INFO 29-May 09:22:12 __init__ 8002 200 GET /ui/bootstraptheme.css (106.207.134.199) 5.43ms apps/ui/bootstrap4-0rtIN INFO 29-May 09:22:12 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (106.207.134.199) 1.75ms apps/ui/static-9vbYU INFO 29-May 09:22:12 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (106.207.134.199) 1.13ms apps/ui/static-9vbYU INFO 29-May 09:22:12 __init__ 8002 200 GET /css/common.css (106.207.134.199) 0.90ms default INFO 29-May 09:22:12 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (106.207.134.199) 1.12ms apps/ui/static-9vbYU INFO 29-May 09:22:12 __init__ 8002 200 GET /template/learn_table.html (106.207.134.199) 0.96ms default INFO 29-May 09:22:12 __init__ 8002 200 GET /img/gramener.png (106.207.134.199) 0.86ms default INFO 29-May 09:22:12 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (106.207.134.199) 2.51ms apps/ui/static-9vbYU INFO 29-May 09:22:13 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (106.207.134.199) 4.72ms apps/ui/static-9vbYU INFO 29-May 09:22:13 __init__ 8002 200 GET /template/result_table.html (106.207.134.199) 0.84ms default INFO 29-May 09:22:13 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (106.207.134.199) 1.50ms apps/ui/static-9vbYU INFO 29-May 09:22:13 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (106.207.134.199) 2.08ms apps/ui/static-9vbYU INFO 29-May 09:22:13 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (106.207.134.199) 2.17ms apps/ui/static-9vbYU INFO 29-May 09:22:13 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (106.207.134.199) 3.63ms apps/ui/static-9vbYU INFO 29-May 09:22:13 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (106.207.134.199) 2.35ms apps/ui/static-9vbYU INFO 29-May 09:22:13 __init__ 8002 200 GET /js/main.js (106.207.134.199) 1.12ms default INFO 29-May 09:22:13 __init__ 8002 200 GET /ui/lodash/lodash.min.js (106.207.134.199) 3.86ms apps/ui/static-9vbYU INFO 29-May 09:22:13 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (106.207.134.199) 1.20ms apps/ui/static-9vbYU INFO 29-May 09:22:13 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (106.207.134.199) 3.49ms apps/ui/static-9vbYU INFO 29-May 09:22:15 __init__ 8002 200 GET /get_project (106.207.134.199) 2.24ms cal_write_file INFO 29-May 09:22:15 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.96ms cal_activity_log DEBUG 29-May 09:22:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:22:19 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.95ms cal_activity_log INFO 29-May 09:22:21 __init__ 8002 200 POST /run_model (106.207.134.199) 1.69ms cal_run_model DEBUG 29-May 09:22:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 2019-05-29 09:22:22.598049: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 29-May 09:22:23 __init__ 8002 200 POST /activity_log (106.207.134.199) 10.60ms cal_activity_log INFO 29-May 09:22:23 __init__ 8002 200 POST /jobs_db (106.207.134.199) 1.21ms cal_jobs_db 2019-05-29 09:22:25.203931: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 09:22:25.204021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 09:22:25.204036: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 09:22:25.204045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 09:22:25.204173: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 29-May 09:22:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:22:29 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.88ms cal_jobs_db DEBUG 29-May 09:22:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:22:34 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:22:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:22:40 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:22:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:22:45 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:22:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:22:51 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:22:51 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:22:56 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:22:56 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:01 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.78ms cal_jobs_db DEBUG 29-May 09:23:06 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:07 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:23:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:12 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:23:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:18 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:23:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:23 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.78ms cal_jobs_db DEBUG 29-May 09:23:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:29 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:23:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:35 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:23:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:40 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:23:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:46 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:23:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:51 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.85ms cal_jobs_db DEBUG 29-May 09:23:51 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:23:57 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.77ms cal_jobs_db DEBUG 29-May 09:24:01 cache 8002 Flushing 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(106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:24:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:24:35 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:24:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:24:41 __init__ 8002 200 POST /jobs_db (106.207.134.199) 1.39ms cal_jobs_db DEBUG 29-May 09:24:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:24:46 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db DEBUG 29-May 09:24:46 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:24:51 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.86ms cal_jobs_db DEBUG 29-May 09:24:56 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:24:57 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:25:01 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:25:02 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:25:06 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:25:08 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.79ms cal_jobs_db DEBUG 29-May 09:25:11 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:25:13 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:25:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:25:19 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.82ms cal_jobs_db DEBUG 29-May 09:25:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:25:24 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.90ms cal_jobs_db DEBUG 29-May 09:25:26 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:25:29 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.80ms cal_jobs_db DEBUG 29-May 09:25:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:25:35 __init__ 8002 200 POST /jobs_db (106.207.134.199) 0.81ms cal_jobs_db INFO 29-May 09:25:36 __init__ 8002 200 POST /job_results (106.207.134.199) 131.83ms cal_job_result DEBUG 29-May 09:25:36 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:25:40 __init__ 8002 304 GET /template/result_table.html (106.207.134.199) 1.24ms default INFO 29-May 09:25:40 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.78ms cal_activity_log DEBUG 29-May 09:25:41 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json DEBUG 29-May 09:26:46 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 29-May 09:28:12 __init__ 8002 304 GET / (106.207.134.199) 1.51ms default INFO 29-May 09:28:13 __init__ 8002 304 GET /ui/bootstraptheme.css (106.207.134.199) 1.13ms apps/ui/bootstrap4-0rtIN INFO 29-May 09:28:13 __init__ 8002 304 GET /css/common.css (106.207.134.199) 2.00ms default INFO 29-May 09:28:13 __init__ 8002 304 GET /js/main.js (106.207.134.199) 1.14ms default INFO 29-May 09:28:13 __init__ 8002 304 GET /img/gramener.png (106.207.134.199) 0.92ms default INFO 29-May 09:28:13 __init__ 8002 304 GET /get_project (106.207.134.199) 2.38ms cal_write_file INFO 29-May 09:28:14 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.94ms cal_activity_log DEBUG 29-May 09:28:16 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:28:18 __init__ 8002 200 GET /?p_name=MOT_class (27.34.250.34) 1.44ms default INFO 29-May 09:28:19 __init__ 8002 200 GET /?p_name=MOT_class (27.34.250.34) 1.47ms default INFO 29-May 09:28:19 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.10ms cal_activity_log INFO 29-May 09:28:19 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.66ms cal_activity_log INFO 29-May 09:28:21 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.93ms cal_activity_log DEBUG 29-May 09:28:21 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 29-May 09:28:26 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 29-May 09:28:26 __init__ 8002 200 POST /activity_log (106.207.134.199) 1.93ms cal_activity_log INFO 29-May 09:28:30 __init__ 8002 200 POST /activity_log (106.207.134.199) 0.94ms cal_activity_log DEBUG 29-May 09:28:31 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-May 09:44:28 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 29-May 09:44:28 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 29-May 09:44:28 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 29-May 09:44:28 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 29-May 09:44:29 __init__ PORT Loading service: version DEBUG 29-May 09:44:29 __init__ PORT Loading service: mime DEBUG 29-May 09:44:29 __init__ PORT Loading service: threadpool DEBUG 29-May 09:44:29 __init__ PORT Loading service: cache DEBUG 29-May 09:44:29 __init__ PORT Loading service: handlers DEBUG 29-May 09:44:29 __init__ PORT Loading service: log DEBUG 29-May 09:44:29 __init__ PORT Loading service: eventlog DEBUG 29-May 09:44:29 __init__ PORT Loading service: app DEBUG 29-May 09:44:29 __init__ PORT Loading service: schedule INFO 29-May 09:44:29 __init__ PORT Initialising schedule:gramex_update DEBUG 29-May 09:44:29 scheduler PORT Scheduling gramex_update after 51331s DEBUG 29-May 09:44:29 __init__ PORT Loading service: url DEBUG 29-May 09:44:29 __init__ PORT url: apps/ui/bootstrap4-vVPcg (FunctionHandler) DEBUG 29-May 09:44:29 __init__ PORT Gramex update ran recently. Deferring check. DEBUG 29-May 09:44:29 __init__ PORT url: apps/ui/static-Qj0yc (FileHandler) DEBUG 29-May 09:44:29 __init__ PORT url: cal_upload (UploadHandler) DEBUG 29-May 09:44:29 __init__ PORT url: cal_build_model (FunctionHandler) /data/anaconda/envs/py35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Using TensorFlow backend. 2019-05-29 09:44:30.724900: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-29 09:44:31.927520: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: Tesla M60 major: 5 minor: 2 memoryClockRate(GHz): 1.1775 pciBusID: 3a15:00:00.0 totalMemory: 7.94GiB freeMemory: 7.86GiB 2019-05-29 09:44:31.927590: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 09:44:32.266122: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 09:44:32.266204: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 09:44:32.266217: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 09:44:32.266437: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 29-May 09:44:33 __init__ PORT url: cal_run_model (FunctionHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_eval_model (FunctionHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_active_learn (FunctionHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_train (FunctionHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_del_pname (FunctionHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_activity_log (FunctionHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_write_file (FormHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_job_result (FunctionHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_jobs_status (FormHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_jobs_db (FunctionHandler) DEBUG 29-May 09:44:33 __init__ PORT url: cal_home (Filehandler) ERROR 29-May 09:44:33 __init__ PORT url: cal_home: ignoring missing handler Filehandler DEBUG 29-May 09:44:33 __init__ PORT url: favicon (FileHandler) -90 DEBUG 29-May 09:44:33 __init__ PORT url: default (FileHandler) -100 DEBUG 29-May 09:44:33 __init__ PORT Running callback: app INFO 29-May 09:44:33 __init__ PORT Listening on port 8002 INFO 29-May 09:44:33 __init__ 8002 opens the browser. starts the debugger. INFO 29-May 09:44:35 __init__ 8002 304 GET /?p_name=MOT_class (27.34.250.34) 2.47ms default INFO 29-May 09:44:35 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 6.07ms apps/ui/bootstrap4-vVPcg INFO 29-May 09:44:35 __init__ 8002 304 GET /css/common.css (27.34.250.34) 1.03ms default INFO 29-May 09:44:35 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.89ms default INFO 29-May 09:44:35 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.93ms default INFO 29-May 09:44:36 __init__ 8002 304 GET /get_project (27.34.250.34) 10.04ms cal_write_file INFO 29-May 09:44:36 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.97ms cal_activity_log INFO 29-May 09:44:36 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.70ms cal_activity_log INFO 29-May 09:44:44 __init__ 8002 200 POST /upload (27.34.250.34) 4.60ms cal_upload INFO 29-May 09:44:46 __init__ 8002 200 POST /run_model (27.34.250.34) 3.74ms cal_run_model INFO 29-May 09:44:47 __init__ 8002 200 POST /activity_log (27.34.250.34) 77.45ms cal_activity_log INFO 29-May 09:44:47 __init__ 8002 200 POST /jobs_db (27.34.250.34) 2.93ms cal_jobs_db 2019-05-29 09:44:47.601111: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-05-29 09:44:50.118542: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 09:44:50.118630: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 09:44:50.118645: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 09:44:50.118654: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 09:44:50.118786: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 09:44:53 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.44ms cal_jobs_db INFO 29-May 09:44:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:45:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.37ms cal_jobs_db INFO 29-May 09:45:09 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:45:16 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db INFO 29-May 09:45:22 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db INFO 29-May 09:45:27 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.13ms cal_jobs_db INFO 29-May 09:45:32 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 09:45:38 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 09:45:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:45:48 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 09:45:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:45:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.33ms cal_jobs_db INFO 29-May 09:46:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.05ms cal_jobs_db INFO 29-May 09:46:09 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 29-May 09:46:16 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db INFO 29-May 09:46:21 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db INFO 29-May 09:46:26 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db [Errno 2] No such file or directory: '../data/mot_class/predcition.csv' INFO 29-May 09:46:32 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 09:46:37 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:46:42 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 29-May 09:46:47 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:46:53 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 29-May 09:46:58 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db INFO 29-May 09:47:03 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db INFO 29-May 09:47:08 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:47:14 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:47:19 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 09:47:24 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.98ms cal_jobs_db INFO 29-May 09:47:30 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.93ms cal_jobs_db INFO 29-May 09:47:36 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 09:47:41 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 09:47:46 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db INFO 29-May 09:47:52 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 09:47:57 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db INFO 29-May 09:48:02 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:48:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 09:48:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 09:48:18 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 09:48:23 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:48:28 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 09:48:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 09:48:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.01ms cal_jobs_db INFO 29-May 09:48:45 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:48:50 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.94ms cal_jobs_db INFO 29-May 09:48:55 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.95ms cal_jobs_db INFO 29-May 09:49:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 09:49:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 09:49:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 29-May 09:49:19 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 09:49:25 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 09:49:31 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.90ms cal_jobs_db INFO 29-May 09:49:37 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 29-May 09:49:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 09:49:49 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 09:49:55 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 29-May 09:50:00 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 09:50:01 __init__ 8002 200 GET /?p_name=MOT_class&jobid=1&activity=run (27.34.250.34) 1.67ms default INFO 29-May 09:50:01 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 1.13ms apps/ui/bootstrap4-vVPcg INFO 29-May 09:50:01 __init__ 8002 304 GET /css/common.css (27.34.250.34) 0.97ms default INFO 29-May 09:50:01 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.91ms default INFO 29-May 09:50:01 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.99ms default INFO 29-May 09:50:02 __init__ 8002 304 GET /get_project (27.34.250.34) 2.32ms cal_write_file INFO 29-May 09:50:02 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.96ms cal_activity_log INFO 29-May 09:50:02 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.71ms cal_activity_log INFO 29-May 09:51:50 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 29-May 09:51:50 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 29-May 09:51:50 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 29-May 09:51:50 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 29-May 09:51:50 __init__ PORT Loading service: version DEBUG 29-May 09:51:50 __init__ PORT Loading service: mime DEBUG 29-May 09:51:50 __init__ PORT Loading service: threadpool DEBUG 29-May 09:51:50 __init__ PORT Loading service: cache DEBUG 29-May 09:51:50 __init__ PORT Loading service: handlers DEBUG 29-May 09:51:50 __init__ PORT Loading service: log DEBUG 29-May 09:51:50 __init__ PORT Loading service: eventlog DEBUG 29-May 09:51:50 __init__ PORT Loading service: app DEBUG 29-May 09:51:50 __init__ PORT Loading service: schedule INFO 29-May 09:51:50 __init__ PORT Initialising schedule:gramex_update DEBUG 29-May 09:51:50 scheduler PORT Scheduling gramex_update after 50889s DEBUG 29-May 09:51:50 __init__ PORT Loading service: url DEBUG 29-May 09:51:50 __init__ PORT url: apps/ui/bootstrap4-v4rzb (FunctionHandler) DEBUG 29-May 09:51:50 __init__ PORT Gramex update ran recently. Deferring check. DEBUG 29-May 09:51:51 __init__ PORT url: apps/ui/static-yu49k (FileHandler) DEBUG 29-May 09:51:51 __init__ PORT url: cal_upload (UploadHandler) DEBUG 29-May 09:51:51 __init__ PORT url: cal_build_model (FunctionHandler) /data/anaconda/envs/py35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Using TensorFlow backend. 2019-05-29 09:51:52.313453: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-29 09:51:53.385751: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: Tesla M60 major: 5 minor: 2 memoryClockRate(GHz): 1.1775 pciBusID: 3a15:00:00.0 totalMemory: 7.94GiB freeMemory: 7.86GiB 2019-05-29 09:51:53.385817: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 09:51:53.717929: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 09:51:53.717989: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 09:51:53.718003: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 09:51:53.718219: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 29-May 09:51:54 __init__ PORT url: cal_run_model (FunctionHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_eval_model (FunctionHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_active_learn (FunctionHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_train (FunctionHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_del_pname (FunctionHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_activity_log (FunctionHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_write_file (FormHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_job_result (FunctionHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_jobs_status (FormHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_jobs_db (FunctionHandler) DEBUG 29-May 09:51:54 __init__ PORT url: cal_home (Filehandler) ERROR 29-May 09:51:54 __init__ PORT url: cal_home: ignoring missing handler Filehandler DEBUG 29-May 09:51:54 __init__ PORT url: favicon (FileHandler) -90 DEBUG 29-May 09:51:54 __init__ PORT url: default (FileHandler) -100 DEBUG 29-May 09:51:54 __init__ PORT Running callback: app INFO 29-May 09:51:54 __init__ PORT Listening on port 8002 INFO 29-May 09:51:54 __init__ 8002 opens the browser. starts the debugger. INFO 29-May 09:51:54 __init__ 8002 304 GET /?p_name=MOT_class (27.34.250.34) 2.21ms default INFO 29-May 09:51:55 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 6.15ms apps/ui/bootstrap4-v4rzb INFO 29-May 09:51:55 __init__ 8002 304 GET /css/common.css (27.34.250.34) 1.17ms default INFO 29-May 09:51:55 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.89ms default INFO 29-May 09:51:55 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.86ms default INFO 29-May 09:51:55 __init__ 8002 304 GET /get_project (27.34.250.34) 9.57ms cal_write_file INFO 29-May 09:51:55 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.05ms cal_activity_log INFO 29-May 09:51:56 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.73ms cal_activity_log INFO 29-May 09:51:57 __init__ 8002 200 POST /run_model (27.34.250.34) 2.95ms cal_run_model INFO 29-May 09:51:57 __init__ 8002 200 POST /activity_log (27.34.250.34) 57.26ms cal_activity_log INFO 29-May 09:51:57 __init__ 8002 200 POST /jobs_db (27.34.250.34) 9.50ms cal_jobs_db 2019-05-29 09:51:58.160040: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-05-29 09:52:00.712093: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 09:52:00.712187: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 09:52:00.712204: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 09:52:00.712213: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 09:52:00.712340: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 09:52:03 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.93ms cal_jobs_db INFO 29-May 09:52:08 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.91ms cal_jobs_db INFO 29-May 09:52:14 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db INFO 29-May 09:52:19 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 09:52:24 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 29-May 09:52:30 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 29-May 09:52:35 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.18ms cal_jobs_db INFO 29-May 09:52:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 09:52:46 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 29-May 09:52:51 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 09:52:56 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:53:01 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.04ms cal_jobs_db INFO 29-May 09:53:07 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 29-May 09:53:12 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.95ms cal_jobs_db INFO 29-May 09:53:17 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.20ms cal_jobs_db INFO 29-May 09:53:23 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db INFO 29-May 09:53:29 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.02ms cal_jobs_db INFO 29-May 09:53:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 09:53:40 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.84ms cal_jobs_db INFO 29-May 09:53:40 __init__ 8002 200 POST /job_results (27.34.250.34) 72.05ms cal_job_result INFO 29-May 09:54:04 __init__ 8002 304 GET /template/result_table.html (27.34.250.34) 1.26ms default INFO 29-May 09:54:04 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.85ms cal_activity_log DEBUG 29-May 10:51:51 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 29-May 11:15:00 __init__ 8002 200 POST /eval_model (27.34.250.34) 2.46ms cal_eval_model INFO 29-May 11:15:00 __init__ 8002 200 POST /activity_log (27.34.250.34) 53.58ms cal_activity_log INFO 29-May 11:15:00 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.73ms cal_jobs_db 2019-05-29 11:15:00.657736: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-05-29 11:15:03.234055: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-29 11:15:03.234143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-29 11:15:03.234159: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-29 11:15:03.234169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-29 11:15:03.234282: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7580 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 29-May 11:15:05 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.11ms cal_jobs_db 32/4000 [..............................] - ETA: 2:25 64/4000 [..............................] - ETA: 1:36 96/4000 [..............................] - 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ETA: 6s 3488/4000 [=========================>....] - ETA: 5s 3520/4000 [=========================>....] - ETA: 5s 3552/4000 [=========================>....] - ETA: 5s 3584/4000 [=========================>....] - ETA: 4s 3616/4000 [==========================>...] - ETA: 4s 3648/4000 [==========================>...] - ETA: 3s 3680/4000 [==========================>...] - ETA: 3s 3712/4000 [==========================>...] - ETA: 3s 3744/4000 [===========================>..] - ETA: 2s 3776/4000 [===========================>..] - ETA: 2s 3808/4000 [===========================>..] - ETA: 2sINFO 29-May 11:15:48 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db 3840/4000 [===========================>..] - ETA: 1s 3872/4000 [============================>.] - ETA: 1s 3904/4000 [============================>.] - ETA: 1s 3936/4000 [============================>.] - ETA: 0s 3968/4000 [============================>.] - ETA: 0s 4000/4000 [==============================] - 45s 11ms/step INFO 29-May 11:15:53 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.26ms cal_jobs_db INFO 29-May 11:15:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 11:16:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 29-May 11:16:09 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.26ms cal_jobs_db INFO 29-May 11:16:15 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.90ms cal_jobs_db INFO 29-May 11:16:20 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 11:16:25 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 11:16:31 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 29-May 11:16:36 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.83ms cal_jobs_db INFO 29-May 11:16:36 __init__ 8002 200 POST /job_results (27.34.250.34) 0.91ms cal_job_result INFO 29-May 11:16:37 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.03ms cal_activity_log INFO 30-May 09:23:39 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 30-May 09:23:39 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 30-May 09:23:39 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 30-May 09:23:39 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 30-May 09:23:39 __init__ PORT Loading service: version DEBUG 30-May 09:23:39 __init__ PORT Loading service: mime DEBUG 30-May 09:23:39 __init__ PORT Loading service: threadpool DEBUG 30-May 09:23:39 __init__ PORT Loading service: cache DEBUG 30-May 09:23:39 __init__ PORT Loading service: handlers DEBUG 30-May 09:23:39 __init__ PORT Loading service: log DEBUG 30-May 09:23:39 __init__ PORT Loading service: eventlog DEBUG 30-May 09:23:39 __init__ PORT Loading service: app DEBUG 30-May 09:23:39 __init__ PORT Loading service: schedule INFO 30-May 09:23:39 __init__ PORT Initialising schedule:gramex_update DEBUG 30-May 09:23:39 scheduler PORT Scheduling gramex_update after 52580s DEBUG 30-May 09:23:39 __init__ PORT Loading service: url DEBUG 30-May 09:23:39 __init__ PORT url: apps/ui/bootstrap4-Z1WHh (FunctionHandler) DEBUG 30-May 09:23:40 __init__ PORT url: apps/ui/static-6GDzR (FileHandler) DEBUG 30-May 09:23:40 __init__ PORT url: cal_upload (UploadHandler) DEBUG 30-May 09:23:40 __init__ PORT url: cal_build_model (FunctionHandler) /data/anaconda/envs/py35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Using TensorFlow backend. ERROR 30-May 09:23:40 __init__ PORT Gramex 1.55.0 is available. See https://learn.gramener.com/guide/ 2019-05-30 09:23:41.443876: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-30 09:23:41.517420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: Tesla M60 major: 5 minor: 2 memoryClockRate(GHz): 1.1775 pciBusID: 3a15:00:00.0 totalMemory: 7.94GiB freeMemory: 6.71GiB 2019-05-30 09:23:41.517493: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-30 09:23:41.858707: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-30 09:23:41.858791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-30 09:23:41.858806: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-30 09:23:41.859014: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 30-May 09:23:42 __init__ PORT url: cal_run_model (FunctionHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_eval_model (FunctionHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_active_learn (FunctionHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_train (FunctionHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_del_pname (FunctionHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_activity_log (FunctionHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_write_file (FormHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_job_result (FunctionHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_jobs_status (FormHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_jobs_db (FunctionHandler) DEBUG 30-May 09:23:42 __init__ PORT url: cal_home (Filehandler) ERROR 30-May 09:23:42 __init__ PORT url: cal_home: ignoring missing handler Filehandler DEBUG 30-May 09:23:42 __init__ PORT url: favicon (FileHandler) -90 DEBUG 30-May 09:23:42 __init__ PORT url: default (FileHandler) -100 DEBUG 30-May 09:23:42 __init__ PORT Running callback: app INFO 30-May 09:23:42 __init__ PORT Listening on port 8002 INFO 30-May 09:23:42 __init__ 8002 opens the browser. starts the debugger. INFO 30-May 09:23:46 __init__ 8002 304 GET / (27.34.250.34) 2.54ms default INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 6.44ms apps/ui/bootstrap4-Z1WHh INFO 30-May 09:23:48 __init__ 8002 304 GET /css/common.css (27.34.250.34) 1.01ms default INFO 30-May 09:23:48 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.88ms default INFO 30-May 09:23:48 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.90ms default INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/font-awesome/css/font-awesome.min.css (27.34.250.34) 1.00ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/dropzone/dist/min/dropzone.min.css (27.34.250.34) 0.88ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/select2/dist/css/select2.min.css (27.34.250.34) 1.10ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (27.34.250.34) 0.91ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/jquery/dist/jquery.min.js (27.34.250.34) 1.00ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/popper.js/dist/umd/popper.min.js (27.34.250.34) 0.93ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/bootstrap/dist/js/bootstrap.min.js (27.34.250.34) 0.97ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/g1/dist/g1.min.js (27.34.250.34) 0.94ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/lodash/lodash.min.js (27.34.250.34) 1.00ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (27.34.250.34) 0.96ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/select2/dist/js/select2.min.js (27.34.250.34) 0.97ms apps/ui/static-6GDzR INFO 30-May 09:23:48 __init__ 8002 304 GET /ui/dropzone/dist/min/dropzone.min.js (27.34.250.34) 0.95ms apps/ui/static-6GDzR INFO 30-May 09:23:50 __init__ 8002 304 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (27.34.250.34) 1.35ms apps/ui/static-6GDzR INFO 30-May 09:23:50 __init__ 8002 304 GET /get_project (27.34.250.34) 9.37ms cal_write_file INFO 30-May 09:23:51 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.07ms cal_activity_log error [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/dell_mot/config.json' active_learning.py 298 WARNING 30-May 09:27:02 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 30-May 09:27:02 __init__ 8002 200 POST /activity_log (27.34.250.34) 2.08ms cal_activity_log INFO 30-May 09:27:04 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.96ms cal_activity_log DEBUG 30-May 10:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 30-May 10:55:04 __init__ 8002 200 HEAD / (27.34.250.34) 1.11ms default DEBUG 30-May 10:55:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 30-May 10:55:07 __init__ 8002 200 GET / (27.34.250.34) 1.52ms default DEBUG 30-May 10:55:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 30-May 10:55:10 __init__ 8002 304 GET / (27.34.250.34) 1.09ms default INFO 30-May 10:55:12 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 1.09ms apps/ui/bootstrap4-Z1WHh INFO 30-May 10:55:12 __init__ 8002 304 GET /css/common.css (27.34.250.34) 0.98ms default INFO 30-May 10:55:12 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.86ms default INFO 30-May 10:55:12 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.90ms default INFO 30-May 10:55:12 __init__ 8002 304 GET /get_project (27.34.250.34) 2.16ms cal_write_file INFO 30-May 10:55:12 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.96ms cal_activity_log DEBUG 30-May 11:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 13:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 14:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 15:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 16:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 18:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 19:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 20:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 21:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 22:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 30-May 23:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 31-May 00:00:00 scheduler 8002 Running gramex_update DEBUG 31-May 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s DEBUG 31-May 00:00:00 __init__ 8002 Gramex update ran recently. Deferring check. DEBUG 31-May 02:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 03:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 05:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 06:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 07:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 08:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 31-May 08:51:12 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 31-May 08:51:12 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 31-May 08:51:12 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 31-May 08:51:12 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 31-May 08:51:13 __init__ PORT Loading service: version DEBUG 31-May 08:51:13 __init__ PORT Loading service: mime DEBUG 31-May 08:51:13 __init__ PORT Loading service: threadpool DEBUG 31-May 08:51:13 __init__ PORT Loading service: cache DEBUG 31-May 08:51:13 __init__ PORT Loading service: handlers DEBUG 31-May 08:51:13 __init__ PORT Loading service: log DEBUG 31-May 08:51:13 __init__ PORT Loading service: eventlog DEBUG 31-May 08:51:13 __init__ PORT Loading service: app ERROR 31-May 08:51:13 __init__ Port 8002 is busy. Use --listen.port= for a different port INFO 31-May 08:51:35 __init__ 8002 200 HEAD / (27.34.250.34) 1.09ms default DEBUG 31-May 08:51:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 31-May 08:51:37 __init__ 8002 200 GET / (27.34.250.34) 1.51ms default DEBUG 31-May 08:51:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 31-May 08:51:41 __init__ 8002 304 GET / (27.34.250.34) 1.09ms default INFO 31-May 08:51:41 __init__ 8002 304 GET /css/common.css (27.34.250.34) 1.69ms default INFO 31-May 08:51:41 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 0.97ms apps/ui/bootstrap4-Z1WHh INFO 31-May 08:51:41 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.91ms default INFO 31-May 08:51:41 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.93ms default INFO 31-May 08:51:43 __init__ 8002 304 GET /get_project (27.34.250.34) 2.16ms cal_write_file INFO 31-May 08:51:43 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.94ms cal_activity_log INFO 31-May 08:53:59 __init__ 8002 200 POST /upload (27.34.250.34) 4.38ms cal_upload INFO 31-May 08:54:06 __init__ 8002 200 POST /get_project (27.34.250.34) 5.00ms cal_write_file INFO 31-May 08:54:06 __init__ 8002 200 POST /build_initial_model (27.34.250.34) 58.98ms cal_build_model 2019-05-31 08:54:06.351053: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 08:54:06 __init__ 8002 200 POST /activity_log (27.34.250.34) 3.93ms cal_activity_log INFO 31-May 08:54:06 __init__ 8002 200 POST /jobs_db (27.34.250.34) 3.47ms cal_jobs_db Epoch 1/2 2019-05-31 08:54:09.146878: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 08:54:09.146954: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 08:54:09.146970: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 08:54:09.146979: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 08:54:09.147087: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 08:54:11 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db 32/64 [==============>...............] - ETA: 3s - loss: 1.9392 - top_k_categorical_accuracy: 0.2500 64/64 [==============================] - 4s 62ms/step - loss: 1.7472 - top_k_categorical_accuracy: 0.2656 Epoch 2/2 32/64 [==============>...............] - ETA: 0s - loss: 1.2135 - top_k_categorical_accuracy: 0.3438 64/64 [==============================] - 1s 12ms/step - loss: 1.0534 - top_k_categorical_accuracy: 0.3750 INFO 31-May 08:54:17 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 31-May 08:54:18 __init__ 8002 200 POST /job_results (27.34.250.34) 0.90ms cal_job_result INFO 31-May 08:54:18 __init__ 8002 200 GET /get_project (27.34.250.34) 5.75ms cal_write_file INFO 31-May 08:54:18 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.94ms cal_activity_log INFO 31-May 08:54:18 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.65ms cal_activity_log INFO 31-May 08:54:23 __init__ 8002 200 POST /eval_model (27.34.250.34) 2.43ms cal_eval_model 2019-05-31 08:54:24.034445: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 08:54:24 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.07ms cal_activity_log INFO 31-May 08:54:24 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.65ms cal_jobs_db 2019-05-31 08:54:26.580632: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 08:54:26.580721: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 08:54:26.580736: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 08:54:26.580746: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 08:54:26.580870: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 08:54:30 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db 22/22 [==============================] - 1s 58ms/step /data/anaconda/envs/py35/lib/python3.5/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /data/anaconda/envs/py35/lib/python3.5/site-packages/sklearn/metrics/classification.py:1145: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) INFO 31-May 08:54:35 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db INFO 31-May 08:54:35 __init__ 8002 200 POST /job_results (27.34.250.34) 0.88ms cal_job_result INFO 31-May 08:54:36 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.96ms cal_activity_log INFO 31-May 08:56:20 __init__ 8002 200 POST /upload (27.34.250.34) 3.30ms cal_upload INFO 31-May 08:56:20 __init__ 8002 200 POST /run_model (27.34.250.34) 2.59ms cal_run_model 2019-05-31 08:56:20.566627: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 08:56:20 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.97ms cal_activity_log INFO 31-May 08:56:20 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.65ms cal_jobs_db 2019-05-31 08:56:23.164425: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 08:56:23.164518: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 08:56:23.164533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 08:56:23.164543: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 08:56:23.164667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 08:56:26 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db arrays must all be same length INFO 31-May 08:56:34 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 31-May 08:56:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db INFO 31-May 08:56:48 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 31-May 08:56:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 31-May 08:56:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 31-May 08:57:06 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 31-May 08:57:13 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.90ms cal_jobs_db INFO 31-May 08:57:19 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 31-May 08:57:25 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db INFO 31-May 08:57:33 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 31-May 08:57:38 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 31-May 08:57:43 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.18ms cal_jobs_db INFO 31-May 08:57:48 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 31-May 08:57:54 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db INFO 31-May 08:57:59 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 31-May 08:58:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 31-May 08:58:10 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 31-May 08:58:15 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 31-May 08:58:20 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 31-May 08:58:26 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 31-May 08:58:31 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.77ms cal_jobs_db INFO 31-May 08:58:36 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.79ms cal_jobs_db INFO 31-May 08:58:41 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.78ms cal_jobs_db INFO 31-May 08:58:47 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db INFO 31-May 08:58:52 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.80ms cal_jobs_db INFO 31-May 08:58:57 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 31-May 08:59:01 __init__ 8002 200 GET /?p_name=test&jobid=3&activity=run (27.34.250.34) 1.51ms default INFO 31-May 08:59:01 __init__ 8002 304 GET /ui/bootstraptheme.css (27.34.250.34) 1.13ms apps/ui/bootstrap4-Z1WHh INFO 31-May 08:59:01 __init__ 8002 304 GET /css/common.css (27.34.250.34) 0.97ms default INFO 31-May 08:59:01 __init__ 8002 304 GET /img/gramener.png (27.34.250.34) 0.91ms default INFO 31-May 08:59:01 __init__ 8002 304 GET /js/main.js (27.34.250.34) 0.90ms default INFO 31-May 08:59:02 __init__ 8002 304 GET /get_project (27.34.250.34) 2.20ms cal_write_file INFO 31-May 08:59:02 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.95ms cal_activity_log INFO 31-May 08:59:02 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.67ms cal_activity_log INFO 31-May 09:01:00 __init__ 8002 200 POST /upload (27.34.250.34) 3.27ms cal_upload INFO 31-May 09:01:03 __init__ 8002 200 POST /run_model (27.34.250.34) 1.86ms cal_run_model 2019-05-31 09:01:03.918222: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 09:01:04 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.71ms cal_activity_log INFO 31-May 09:01:04 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.37ms cal_jobs_db 2019-05-31 09:01:06.314077: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 09:01:06.314169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 09:01:06.314184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 09:01:06.314194: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 09:01:06.314321: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 09:01:10 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db INFO 31-May 09:01:15 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.82ms cal_jobs_db INFO 31-May 09:01:15 __init__ 8002 200 POST /job_results (27.34.250.34) 1.32ms cal_job_result INFO 31-May 09:01:15 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.96ms cal_activity_log INFO 31-May 09:01:16 __init__ 8002 200 GET /template/result_table.html (27.34.250.34) 1.17ms default INFO 31-May 09:01:33 __init__ 8002 200 POST /active_learn (27.34.250.34) 1.59ms cal_active_learn 2019-05-31 09:01:33.577343: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 09:01:33 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.99ms cal_activity_log INFO 31-May 09:01:33 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.64ms cal_jobs_db 2019-05-31 09:01:36.100059: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 09:01:36.100147: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 09:01:36.100163: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 09:01:36.100173: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 09:01:36.100297: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 09:01:39 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db INFO 31-May 09:01:45 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.85ms cal_jobs_db INFO 31-May 09:01:45 __init__ 8002 200 POST /job_results (27.34.250.34) 1.14ms cal_job_result INFO 31-May 09:01:45 __init__ 8002 200 GET /template/learn_table.html (27.34.250.34) 1.32ms default INFO 31-May 09:01:45 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.83ms cal_activity_log INFO 31-May 09:02:10 __init__ 8002 200 POST /retrain (27.34.250.34) 25.74ms cal_train 2019-05-31 09:02:10.370492: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 09:02:10 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.47ms cal_activity_log INFO 31-May 09:02:10 __init__ 8002 200 POST /jobs_db (27.34.250.34) 1.04ms cal_jobs_db Epoch 1/2 2019-05-31 09:02:13.127719: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 09:02:13.127791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 09:02:13.127807: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 09:02:13.127816: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 09:02:13.127944: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) 32/64 [==============>...............] - ETA: 2s - loss: 2.0083 - top_k_categorical_accuracy: 0.2812INFO 31-May 09:02:15 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.86ms cal_jobs_db 64/64 [==============================] - 3s 43ms/step - loss: 1.7638 - top_k_categorical_accuracy: 0.3906 Epoch 2/2 32/64 [==============>...............] - ETA: 0s - loss: 1.2755 - top_k_categorical_accuracy: 0.4062 64/64 [==============================] - 1s 12ms/step - loss: 1.0817 - top_k_categorical_accuracy: 0.4062 INFO 31-May 09:02:21 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.81ms cal_jobs_db INFO 31-May 09:02:21 __init__ 8002 200 POST /job_results (27.34.250.34) 0.93ms cal_job_result INFO 31-May 09:02:21 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.93ms cal_activity_log INFO 31-May 09:02:26 __init__ 8002 200 POST /eval_model (27.34.250.34) 1.58ms cal_eval_model 2019-05-31 09:02:26.172255: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 09:02:26 __init__ 8002 200 POST /activity_log (27.34.250.34) 1.10ms cal_activity_log INFO 31-May 09:02:26 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.88ms cal_jobs_db 2019-05-31 09:02:28.656047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 09:02:28.656137: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 09:02:28.656153: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 09:02:28.656163: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 09:02:28.656288: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 09:02:31 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.87ms cal_jobs_db 24/24 [==============================] - 1s 48ms/step INFO 31-May 09:02:36 __init__ 8002 200 POST /jobs_db (27.34.250.34) 0.89ms cal_jobs_db INFO 31-May 09:02:37 __init__ 8002 200 POST /job_results (27.34.250.34) 0.91ms cal_job_result INFO 31-May 09:02:37 __init__ 8002 200 POST /activity_log (27.34.250.34) 0.97ms cal_activity_log DEBUG 31-May 10:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 31-May 10:47:16 __init__ 8002 200 HEAD / (49.37.202.45) 1.24ms default INFO 31-May 10:47:18 __init__ 8002 200 GET / (49.37.202.45) 1.41ms default DEBUG 31-May 10:47:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 31-May 10:47:20 __init__ 8002 304 GET / (49.37.202.45) 1.09ms default INFO 31-May 10:47:21 __init__ 8002 304 GET /css/common.css (49.37.202.45) 1.13ms default INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/bootstraptheme.css (49.37.202.45) 0.93ms apps/ui/bootstrap4-Z1WHh INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/font-awesome/css/font-awesome.min.css (49.37.202.45) 0.90ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /img/gramener.png (49.37.202.45) 0.89ms default INFO 31-May 10:47:21 __init__ 8002 304 GET /js/main.js (49.37.202.45) 0.87ms default INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/select2/dist/css/select2.min.css (49.37.202.45) 1.04ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (49.37.202.45) 0.95ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/jquery/dist/jquery.min.js (49.37.202.45) 1.43ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/popper.js/dist/umd/popper.min.js (49.37.202.45) 0.89ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/g1/dist/g1.min.js (49.37.202.45) 0.94ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/bootstrap/dist/js/bootstrap.min.js (49.37.202.45) 1.43ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/lodash/lodash.min.js (49.37.202.45) 1.09ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (49.37.202.45) 1.06ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/select2/dist/js/select2.min.js (49.37.202.45) 0.96ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/dropzone/dist/min/dropzone.min.js (49.37.202.45) 0.93ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /ui/dropzone/dist/min/dropzone.min.css (49.37.202.45) 0.93ms apps/ui/static-6GDzR INFO 31-May 10:47:21 __init__ 8002 304 GET /get_project (49.37.202.45) 1.99ms cal_write_file INFO 31-May 10:47:22 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.98ms cal_activity_log INFO 31-May 10:47:22 __init__ 8002 304 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (49.37.202.45) 1.08ms apps/ui/static-6GDzR INFO 31-May 10:49:02 __init__ 8002 200 POST /upload (49.37.202.45) 2.93ms cal_upload INFO 31-May 10:49:14 __init__ 8002 200 POST /get_project (49.37.202.45) 4.43ms cal_write_file INFO 31-May 10:49:15 __init__ 8002 200 POST /build_initial_model (49.37.202.45) 26.25ms cal_build_model 2019-05-31 10:49:15.113558: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:49:15 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.98ms cal_activity_log INFO 31-May 10:49:15 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.68ms cal_jobs_db Epoch 1/2 2019-05-31 10:49:18.042916: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:49:18.042990: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:49:18.043005: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:49:18.043015: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:49:18.043123: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) 32/64 [==============>...............] - ETA: 2s - loss: 1.6365 - top_k_categorical_accuracy: 0.1562INFO 31-May 10:49:20 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.83ms cal_jobs_db 64/64 [==============================] - 3s 45ms/step - loss: 1.4258 - top_k_categorical_accuracy: 0.2031 Epoch 2/2 32/64 [==============>...............] - ETA: 0s - loss: 0.9349 - top_k_categorical_accuracy: 0.2812 64/64 [==============================] - 1s 12ms/step - loss: 0.7888 - top_k_categorical_accuracy: 0.3594 INFO 31-May 10:49:26 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.79ms cal_jobs_db INFO 31-May 10:49:26 __init__ 8002 200 POST /job_results (49.37.202.45) 0.92ms cal_job_result INFO 31-May 10:49:26 __init__ 8002 200 GET /get_project (49.37.202.45) 5.26ms cal_write_file INFO 31-May 10:49:26 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.95ms cal_activity_log INFO 31-May 10:49:26 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.67ms cal_activity_log INFO 31-May 10:49:32 __init__ 8002 200 POST /eval_model (49.37.202.45) 1.55ms cal_eval_model 2019-05-31 10:49:32.396645: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:49:32 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.66ms cal_activity_log INFO 31-May 10:49:32 __init__ 8002 200 POST /jobs_db (49.37.202.45) 1.46ms cal_jobs_db 2019-05-31 10:49:35.007383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:49:35.007475: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:49:35.007491: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:49:35.007500: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:49:35.007628: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 10:49:37 __init__ 8002 200 POST /jobs_db (49.37.202.45) 1.06ms cal_jobs_db 22/22 [==============================] - 1s 49ms/step INFO 31-May 10:49:43 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.81ms cal_jobs_db INFO 31-May 10:49:43 __init__ 8002 200 POST /job_results (49.37.202.45) 0.95ms cal_job_result INFO 31-May 10:49:43 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.96ms cal_activity_log INFO 31-May 10:50:03 __init__ 8002 200 POST /upload (49.37.202.45) 6.70ms cal_upload INFO 31-May 10:50:06 __init__ 8002 200 POST /run_model (49.37.202.45) 1.93ms cal_run_model 2019-05-31 10:50:06.605879: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:50:06 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.05ms cal_activity_log INFO 31-May 10:50:06 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.64ms cal_jobs_db 2019-05-31 10:50:09.277064: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:50:09.277155: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:50:09.277170: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:50:09.277180: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:50:09.277304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 10:50:12 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.83ms cal_jobs_db INFO 31-May 10:50:18 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.80ms cal_jobs_db INFO 31-May 10:50:18 __init__ 8002 200 POST /job_results (49.37.202.45) 1.32ms cal_job_result INFO 31-May 10:50:18 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.38ms cal_activity_log INFO 31-May 10:50:18 __init__ 8002 304 GET /template/result_table.html (49.37.202.45) 0.99ms default INFO 31-May 10:50:30 __init__ 8002 200 POST /active_learn (49.37.202.45) 1.60ms cal_active_learn 2019-05-31 10:50:30.789632: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:50:31 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.04ms cal_activity_log INFO 31-May 10:50:31 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.64ms cal_jobs_db 2019-05-31 10:50:33.408148: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:50:33.408239: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:50:33.408254: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:50:33.408264: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:50:33.408392: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 10:50:36 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.86ms cal_jobs_db INFO 31-May 10:50:41 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.81ms cal_jobs_db INFO 31-May 10:50:41 __init__ 8002 200 POST /job_results (49.37.202.45) 1.15ms cal_job_result INFO 31-May 10:50:42 __init__ 8002 304 GET /template/learn_table.html (49.37.202.45) 1.18ms default INFO 31-May 10:50:42 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.74ms cal_activity_log INFO 31-May 10:51:02 __init__ 8002 200 POST /retrain (49.37.202.45) 26.01ms cal_train 2019-05-31 10:51:02.820095: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:51:02 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.86ms cal_activity_log INFO 31-May 10:51:02 __init__ 8002 200 POST /jobs_db (49.37.202.45) 2.13ms cal_jobs_db Epoch 1/2 2019-05-31 10:51:05.622578: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:51:05.622652: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:51:05.622667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:51:05.622676: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:51:05.622784: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) 32/64 [==============>...............] - ETA: 2s - loss: 1.7345 - top_k_categorical_accuracy: 0.1875INFO 31-May 10:51:08 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.85ms cal_jobs_db 64/64 [==============================] - 3s 42ms/step - loss: 1.6684 - top_k_categorical_accuracy: 0.2031 Epoch 2/2 32/64 [==============>...............] - ETA: 0s - loss: 1.1439 - top_k_categorical_accuracy: 0.1562 64/64 [==============================] - 1s 12ms/step - loss: 1.0393 - top_k_categorical_accuracy: 0.2500 INFO 31-May 10:51:13 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.81ms cal_jobs_db INFO 31-May 10:51:13 __init__ 8002 200 POST /job_results (49.37.202.45) 0.90ms cal_job_result INFO 31-May 10:51:14 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.91ms cal_activity_log INFO 31-May 10:51:18 __init__ 8002 200 POST /eval_model (49.37.202.45) 1.61ms cal_eval_model 2019-05-31 10:51:18.463619: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:51:18 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.97ms cal_activity_log INFO 31-May 10:51:18 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.74ms cal_jobs_db 2019-05-31 10:51:21.004797: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:51:21.004886: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:51:21.004902: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:51:21.004911: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:51:21.005021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 10:51:23 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.83ms cal_jobs_db 24/24 [==============================] - 1s 43ms/step INFO 31-May 10:51:29 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.81ms cal_jobs_db INFO 31-May 10:51:29 __init__ 8002 200 POST /job_results (49.37.202.45) 0.89ms cal_job_result INFO 31-May 10:51:29 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.91ms cal_activity_log INFO 31-May 10:52:37 __init__ 8002 200 POST /get_project (49.37.202.45) 4.39ms cal_write_file ERROR 31-May 10:52:37 web Uncaught exception POST /build_initial_model (49.37.202.45) HTTPServerRequest(protocol='https', host='ai.gramener.com', method='POST', uri='/build_initial_model', version='HTTP/1.0', remote_ip='49.37.202.45') Traceback (most recent call last): File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/web.py", line 1543, in _execute result = yield result File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/gen.py", line 1099, in run value = future.result() File "/data/anaconda/envs/py35/lib/python3.5/asyncio/futures.py", line 294, in result raise self._exception File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/gen.py", line 1107, in run yielded = self.gen.throw(*exc_info) File "/data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/handlers/functionhandler.py", line 61, in _get item = yield item File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/gen.py", line 1099, in run value = future.result() File "/data/anaconda/envs/py35/lib/python3.5/asyncio/futures.py", line 294, in result raise self._exception File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/gen.py", line 296, in wrapper result = func(*args, **kwargs) File "/data/anaconda/envs/py35/lib/python3.5/types.py", line 243, in wrapped coro = func(*args, **kwargs) File "/data/home/gramener/active-learning/active-learning/active_learning.py", line 117, in build_initial_model data = load_data(upload_filepath) File "/data/home/gramener/active-learning/active-learning/source_code/utils.py", line 26, in load_data data = gramex.cache.open(file) File "/data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/cache.py", line 268, in open data = method(path, **kwargs) File "/data/anaconda/envs/py35/lib/python3.5/site-packages/pandas/util/_decorators.py", line 177, in wrapper return func(*args, **kwargs) File "/data/anaconda/envs/py35/lib/python3.5/site-packages/pandas/util/_decorators.py", line 177, in wrapper return func(*args, **kwargs) File "/data/anaconda/envs/py35/lib/python3.5/site-packages/pandas/io/excel.py", line 307, in read_excel io = ExcelFile(io, engine=engine) File "/data/anaconda/envs/py35/lib/python3.5/site-packages/pandas/io/excel.py", line 394, in __init__ self.book = xlrd.open_workbook(self._io) File "/data/anaconda/envs/py35/lib/python3.5/site-packages/xlrd/__init__.py", line 116, in open_workbook with open(filename, "rb") as f: FileNotFoundError: [Errno 2] No such file or directory: '/data/home/gramener/active-learning/active-learning/data/upload.xlsx' ERROR 31-May 10:52:37 __init__ 8002 500 POST /build_initial_model (49.37.202.45) 635.79ms cal_build_model INFO 31-May 10:54:04 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 31-May 10:54:04 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 31-May 10:54:04 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 31-May 10:54:04 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 31-May 10:54:05 __init__ PORT Loading service: version DEBUG 31-May 10:54:05 __init__ PORT Loading service: mime DEBUG 31-May 10:54:05 __init__ PORT Loading service: threadpool DEBUG 31-May 10:54:05 __init__ PORT Loading service: cache DEBUG 31-May 10:54:05 __init__ PORT Loading service: handlers DEBUG 31-May 10:54:05 __init__ PORT Loading service: log DEBUG 31-May 10:54:05 __init__ PORT Loading service: eventlog DEBUG 31-May 10:54:05 __init__ PORT Loading service: app ERROR 31-May 10:54:05 __init__ Port 8002 is busy. Use --listen.port= for a different port INFO 31-May 10:54:12 __init__ 8002 200 GET /?p_name=test1&jobid=13&activity=eval (49.37.202.45) 1.50ms default INFO 31-May 10:54:13 __init__ 8002 304 GET /ui/bootstraptheme.css (49.37.202.45) 1.11ms apps/ui/bootstrap4-Z1WHh INFO 31-May 10:54:13 __init__ 8002 304 GET /css/common.css (49.37.202.45) 0.95ms default INFO 31-May 10:54:13 __init__ 8002 304 GET /img/gramener.png (49.37.202.45) 0.92ms default INFO 31-May 10:54:13 __init__ 8002 304 GET /js/main.js (49.37.202.45) 0.94ms default INFO 31-May 10:54:13 __init__ 8002 200 GET /get_project (49.37.202.45) 5.96ms cal_write_file INFO 31-May 10:54:13 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.02ms cal_activity_log INFO 31-May 10:54:13 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.67ms cal_activity_log INFO 31-May 10:54:35 __init__ 8002 200 POST /upload (49.37.202.45) 3.59ms cal_upload INFO 31-May 10:54:39 __init__ 8002 200 POST /get_project (49.37.202.45) 4.70ms cal_write_file ERROR 31-May 10:54:39 web Uncaught exception POST /build_initial_model (49.37.202.45) HTTPServerRequest(protocol='https', host='ai.gramener.com', method='POST', uri='/build_initial_model', version='HTTP/1.0', remote_ip='49.37.202.45') Traceback (most recent call last): File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/web.py", line 1543, in _execute result = yield result File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/gen.py", line 1099, in run value = future.result() File "/data/anaconda/envs/py35/lib/python3.5/asyncio/futures.py", line 294, in result raise self._exception File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/gen.py", line 1107, in run yielded = self.gen.throw(*exc_info) File "/data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/handlers/functionhandler.py", line 61, in _get item = yield item File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/gen.py", line 1099, in run value = future.result() File "/data/anaconda/envs/py35/lib/python3.5/asyncio/futures.py", line 294, in result raise self._exception File "/data/anaconda/envs/py35/lib/python3.5/site-packages/tornado/gen.py", line 296, in wrapper result = func(*args, **kwargs) File "/data/anaconda/envs/py35/lib/python3.5/types.py", line 243, in wrapped coro = func(*args, **kwargs) File "/data/home/gramener/active-learning/active-learning/active_learning.py", line 101, in build_initial_model p_config = json.load(f) File "/data/anaconda/envs/py35/lib/python3.5/json/__init__.py", line 268, in load parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw) File "/data/anaconda/envs/py35/lib/python3.5/json/__init__.py", line 319, in loads return _default_decoder.decode(s) File "/data/anaconda/envs/py35/lib/python3.5/json/decoder.py", line 342, in decode raise JSONDecodeError("Extra data", s, end) json.decoder.JSONDecodeError: Extra data: line 1 column 913 (char 912) ERROR 31-May 10:54:39 __init__ 8002 500 POST /build_initial_model (49.37.202.45) 98.48ms cal_build_model INFO 31-May 10:55:36 __init__ 8002 200 GET /?p_name=test1 (49.37.202.45) 1.45ms default INFO 31-May 10:55:36 __init__ 8002 304 GET /ui/bootstraptheme.css (49.37.202.45) 1.11ms apps/ui/bootstrap4-Z1WHh INFO 31-May 10:55:36 __init__ 8002 304 GET /css/common.css (49.37.202.45) 1.47ms default INFO 31-May 10:55:36 __init__ 8002 304 GET /js/main.js (49.37.202.45) 0.83ms default INFO 31-May 10:55:36 __init__ 8002 304 GET /img/gramener.png (49.37.202.45) 0.84ms default INFO 31-May 10:55:36 __init__ 8002 200 GET /get_project (49.37.202.45) 4.97ms cal_write_file INFO 31-May 10:55:37 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.92ms cal_activity_log INFO 31-May 10:55:37 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.69ms cal_activity_log INFO 31-May 10:56:51 __init__ 8002 200 POST /upload (49.37.202.45) 4.26ms cal_upload INFO 31-May 10:56:56 __init__ 8002 200 POST /get_project (49.37.202.45) 4.40ms cal_write_file INFO 31-May 10:56:56 __init__ 8002 200 POST /build_initial_model (49.37.202.45) 28.79ms cal_build_model 2019-05-31 10:56:56.606457: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:56:56 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.38ms cal_activity_log INFO 31-May 10:56:56 __init__ 8002 200 POST /jobs_db (49.37.202.45) 1.48ms cal_jobs_db Epoch 1/2 2019-05-31 10:56:59.457677: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:56:59.457749: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:56:59.457764: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:56:59.457773: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:56:59.457882: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) 32/64 [==============>...............] - ETA: 2s - loss: 1.4777 - top_k_categorical_accuracy: 0.1875INFO 31-May 10:57:02 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.82ms cal_jobs_db 64/64 [==============================] - 3s 43ms/step - loss: 1.2910 - top_k_categorical_accuracy: 0.3281 Epoch 2/2 32/64 [==============>...............] - ETA: 0s - loss: 0.8333 - top_k_categorical_accuracy: 0.2812 64/64 [==============================] - 1s 12ms/step - loss: 0.7123 - top_k_categorical_accuracy: 0.2969 INFO 31-May 10:57:07 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.88ms cal_jobs_db INFO 31-May 10:57:07 __init__ 8002 200 POST /job_results (49.37.202.45) 0.94ms cal_job_result INFO 31-May 10:57:07 __init__ 8002 200 GET /get_project (49.37.202.45) 5.20ms cal_write_file INFO 31-May 10:57:08 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.98ms cal_activity_log INFO 31-May 10:57:08 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.66ms cal_activity_log INFO 31-May 10:57:12 __init__ 8002 200 POST /eval_model (49.37.202.45) 2.21ms cal_eval_model 2019-05-31 10:57:12.992666: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:57:13 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.49ms cal_activity_log INFO 31-May 10:57:13 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.99ms cal_jobs_db 2019-05-31 10:57:15.596316: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:57:15.596409: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:57:15.596425: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:57:15.596435: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:57:15.596560: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 10:57:18 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.88ms cal_jobs_db 22/22 [==============================] - 1s 51ms/step INFO 31-May 10:57:23 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.82ms cal_jobs_db INFO 31-May 10:57:24 __init__ 8002 200 POST /job_results (49.37.202.45) 0.97ms cal_job_result INFO 31-May 10:57:24 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.96ms cal_activity_log INFO 31-May 10:57:43 __init__ 8002 200 POST /upload (49.37.202.45) 3.42ms cal_upload INFO 31-May 10:57:45 __init__ 8002 200 POST /run_model (49.37.202.45) 1.86ms cal_run_model 2019-05-31 10:57:45.481348: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:57:45 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.92ms cal_activity_log INFO 31-May 10:57:45 __init__ 8002 200 POST /jobs_db (49.37.202.45) 1.08ms cal_jobs_db 2019-05-31 10:57:48.009404: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:57:48.009497: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:57:48.009514: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:57:48.009523: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:57:48.009650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 10:57:50 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.84ms cal_jobs_db INFO 31-May 10:57:56 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.81ms cal_jobs_db INFO 31-May 10:57:56 __init__ 8002 200 POST /job_results (49.37.202.45) 1.31ms cal_job_result INFO 31-May 10:57:56 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.96ms cal_activity_log INFO 31-May 10:57:56 __init__ 8002 304 GET /template/result_table.html (49.37.202.45) 0.97ms default INFO 31-May 10:58:00 __init__ 8002 200 POST /active_learn (49.37.202.45) 1.56ms cal_active_learn 2019-05-31 10:58:00.124524: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:58:00 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.00ms cal_activity_log INFO 31-May 10:58:00 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.95ms cal_jobs_db 2019-05-31 10:58:02.767676: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:58:02.767767: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:58:02.767783: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:58:02.767793: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:58:02.767922: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 10:58:05 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.83ms cal_jobs_db INFO 31-May 10:58:10 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.80ms cal_jobs_db INFO 31-May 10:58:11 __init__ 8002 200 POST /job_results (49.37.202.45) 1.18ms cal_job_result INFO 31-May 10:58:11 __init__ 8002 304 GET /template/learn_table.html (49.37.202.45) 1.18ms default INFO 31-May 10:58:11 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.74ms cal_activity_log INFO 31-May 10:58:58 __init__ 8002 200 POST /retrain (49.37.202.45) 23.79ms cal_train 2019-05-31 10:58:58.350209: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:58:58 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.01ms cal_activity_log INFO 31-May 10:58:58 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.67ms cal_jobs_db Epoch 1/2 2019-05-31 10:59:01.284926: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:59:01.285002: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:59:01.285031: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:59:01.285042: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:59:01.285151: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) 32/64 [==============>...............] - ETA: 2s - loss: 1.9327 - top_k_categorical_accuracy: 0.0625INFO 31-May 10:59:03 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.83ms cal_jobs_db 64/64 [==============================] - 3s 43ms/step - loss: 1.7129 - top_k_categorical_accuracy: 0.1562 Epoch 2/2 32/64 [==============>...............] - ETA: 0s - loss: 1.0720 - top_k_categorical_accuracy: 0.3750 64/64 [==============================] - 1s 12ms/step - loss: 0.9382 - top_k_categorical_accuracy: 0.2656 INFO 31-May 10:59:09 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.87ms cal_jobs_db INFO 31-May 10:59:09 __init__ 8002 200 POST /job_results (49.37.202.45) 0.93ms cal_job_result INFO 31-May 10:59:09 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.99ms cal_activity_log INFO 31-May 10:59:12 __init__ 8002 200 POST /eval_model (49.37.202.45) 1.58ms cal_eval_model 2019-05-31 10:59:12.768260: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 10:59:13 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.05ms cal_activity_log INFO 31-May 10:59:13 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.78ms cal_jobs_db 2019-05-31 10:59:15.300551: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 10:59:15.300641: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 10:59:15.300656: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 10:59:15.300666: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 10:59:15.300788: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 10:59:18 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.85ms cal_jobs_db 24/24 [==============================] - 1s 42ms/step INFO 31-May 10:59:23 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.80ms cal_jobs_db INFO 31-May 10:59:23 __init__ 8002 200 POST /job_results (49.37.202.45) 0.90ms cal_job_result INFO 31-May 10:59:24 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.94ms cal_activity_log INFO 31-May 11:00:16 __init__ 8002 200 POST /active_learn (49.37.202.45) 2.09ms cal_active_learn 2019-05-31 11:00:17.049598: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 11:00:17 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.00ms cal_activity_log INFO 31-May 11:00:17 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.76ms cal_jobs_db 2019-05-31 11:00:19.622181: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 11:00:19.622271: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 11:00:19.622287: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 11:00:19.622297: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 11:00:19.622420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 11:00:22 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.85ms cal_jobs_db INFO 31-May 11:00:27 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.80ms cal_jobs_db INFO 31-May 11:00:28 __init__ 8002 200 POST /job_results (49.37.202.45) 1.15ms cal_job_result INFO 31-May 11:00:28 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.06ms cal_activity_log DEBUG 31-May 11:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 12:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 31-May 13:09:58 __init__ 8002 200 GET /?p_name=test&jobid=7&activity=eval (49.37.202.45) 1.54ms default INFO 31-May 13:09:58 __init__ 8002 304 GET /ui/bootstraptheme.css (49.37.202.45) 1.12ms apps/ui/bootstrap4-Z1WHh INFO 31-May 13:09:58 __init__ 8002 304 GET /css/common.css (49.37.202.45) 1.24ms default INFO 31-May 13:09:58 __init__ 8002 304 GET /js/main.js (49.37.202.45) 0.90ms default INFO 31-May 13:09:58 __init__ 8002 304 GET /img/gramener.png (49.37.202.45) 1.47ms default INFO 31-May 13:09:59 __init__ 8002 200 GET /get_project (49.37.202.45) 2.03ms cal_write_file INFO 31-May 13:09:59 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.94ms cal_activity_log INFO 31-May 13:09:59 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.68ms cal_activity_log DEBUG 31-May 13:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 14:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 15:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 31-May 16:36:06 __init__ 8002 200 HEAD / (49.37.202.45) 1.11ms default INFO 31-May 16:36:07 __init__ 8002 200 GET / (49.37.202.45) 1.55ms default INFO 31-May 16:36:08 __init__ 8002 304 GET / (49.37.202.45) 1.12ms default INFO 31-May 16:36:08 __init__ 8002 304 GET /ui/bootstraptheme.css (49.37.202.45) 1.15ms apps/ui/bootstrap4-Z1WHh INFO 31-May 16:36:08 __init__ 8002 304 GET /css/common.css (49.37.202.45) 1.00ms default INFO 31-May 16:36:08 __init__ 8002 304 GET /img/gramener.png (49.37.202.45) 0.95ms default INFO 31-May 16:36:08 __init__ 8002 304 GET /js/main.js (49.37.202.45) 0.95ms default INFO 31-May 16:36:09 __init__ 8002 304 GET /get_project (49.37.202.45) 1.96ms cal_write_file INFO 31-May 16:36:09 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.93ms cal_activity_log DEBUG 31-May 16:36:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 31-May 16:36:45 __init__ 8002 200 POST /upload (49.37.202.45) 2.89ms cal_upload INFO 31-May 16:37:53 __init__ 8002 200 POST /get_project (49.37.202.45) 4.31ms cal_write_file INFO 31-May 16:37:53 __init__ 8002 200 POST /build_initial_model (49.37.202.45) 29.61ms cal_build_model 2019-05-31 16:37:53.741684: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 16:37:54 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.96ms cal_activity_log INFO 31-May 16:37:54 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.63ms cal_jobs_db Epoch 1/2 2019-05-31 16:37:56.720152: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 16:37:56.720227: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 16:37:56.720242: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 16:37:56.720251: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 16:37:56.720359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) 32/64 [==============>...............] - ETA: 2s - loss: 1.6485 - top_k_categorical_accuracy: 0.1875INFO 31-May 16:37:59 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.83ms cal_jobs_db 64/64 [==============================] - 3s 45ms/step - loss: 1.5129 - top_k_categorical_accuracy: 0.2031 Epoch 2/2 32/64 [==============>...............] - ETA: 0s - loss: 0.9739 - top_k_categorical_accuracy: 0.4062 64/64 [==============================] - 1s 12ms/step - loss: 0.8857 - top_k_categorical_accuracy: 0.2969 INFO 31-May 16:38:04 __init__ 8002 200 POST /jobs_db (49.37.202.45) 1.16ms cal_jobs_db INFO 31-May 16:38:04 __init__ 8002 200 POST /job_results (49.37.202.45) 0.92ms cal_job_result INFO 31-May 16:38:05 __init__ 8002 200 GET /get_project (49.37.202.45) 5.20ms cal_write_file INFO 31-May 16:38:05 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.17ms cal_activity_log INFO 31-May 16:38:05 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.71ms cal_activity_log INFO 31-May 16:38:27 __init__ 8002 200 POST /eval_model (49.37.202.45) 1.56ms cal_eval_model 2019-05-31 16:38:28.038943: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 16:38:28 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.02ms cal_activity_log INFO 31-May 16:38:28 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.92ms cal_jobs_db 2019-05-31 16:38:30.616481: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 16:38:30.616572: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 16:38:30.616588: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 16:38:30.616599: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 16:38:30.616722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 16:38:33 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.85ms cal_jobs_db 22/22 [==============================] - 1s 48ms/step INFO 31-May 16:38:38 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.80ms cal_jobs_db INFO 31-May 16:38:39 __init__ 8002 200 POST /job_results (49.37.202.45) 0.91ms cal_job_result INFO 31-May 16:38:39 __init__ 8002 200 POST /activity_log (49.37.202.45) 1.05ms cal_activity_log INFO 31-May 16:38:57 __init__ 8002 200 POST /upload (49.37.202.45) 2.97ms cal_upload INFO 31-May 16:39:10 __init__ 8002 200 POST /run_model (49.37.202.45) 1.82ms cal_run_model 2019-05-31 16:39:10.985307: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 16:39:11 __init__ 8002 200 POST /activity_log (49.37.202.45) 2.17ms cal_activity_log INFO 31-May 16:39:11 __init__ 8002 200 POST /jobs_db (49.37.202.45) 1.18ms cal_jobs_db 2019-05-31 16:39:13.537268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 16:39:13.537344: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 16:39:13.537360: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 16:39:13.537370: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 16:39:13.537481: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 16:39:16 __init__ 8002 200 POST /jobs_db (49.37.202.45) 1.41ms cal_jobs_db INFO 31-May 16:39:21 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.84ms cal_jobs_db INFO 31-May 16:39:21 __init__ 8002 200 POST /job_results (49.37.202.45) 1.26ms cal_job_result INFO 31-May 16:39:22 __init__ 8002 304 GET /template/result_table.html (49.37.202.45) 1.21ms default INFO 31-May 16:39:22 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.75ms cal_activity_log INFO 31-May 16:39:46 __init__ 8002 200 POST /active_learn (49.37.202.45) 1.63ms cal_active_learn 2019-05-31 16:39:46.530094: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 31-May 16:39:46 __init__ 8002 200 POST /activity_log (49.37.202.45) 2.39ms cal_activity_log INFO 31-May 16:39:46 __init__ 8002 200 POST /jobs_db (49.37.202.45) 3.42ms cal_jobs_db 2019-05-31 16:39:48.997317: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-05-31 16:39:48.997406: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-05-31 16:39:48.997421: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-05-31 16:39:48.997431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-05-31 16:39:48.997557: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 31-May 16:39:51 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.87ms cal_jobs_db INFO 31-May 16:39:57 __init__ 8002 200 POST /jobs_db (49.37.202.45) 0.82ms cal_jobs_db INFO 31-May 16:39:57 __init__ 8002 200 POST /job_results (49.37.202.45) 1.12ms cal_job_result INFO 31-May 16:39:57 __init__ 8002 304 GET /template/learn_table.html (49.37.202.45) 1.16ms default INFO 31-May 16:39:57 __init__ 8002 200 POST /activity_log (49.37.202.45) 0.76ms cal_activity_log INFO 31-May 16:40:00 __init__ 8002 200 GET / (47.30.217.134) 1.89ms default INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/bootstraptheme.css (47.30.217.134) 5.50ms apps/ui/bootstrap4-Z1WHh INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (47.30.217.134) 2.32ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /css/common.css (47.30.217.134) 1.18ms default INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (47.30.217.134) 1.39ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (47.30.217.134) 1.15ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (47.30.217.134) 1.08ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (47.30.217.134) 4.86ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (47.30.217.134) 1.87ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (47.30.217.134) 2.55ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (47.30.217.134) 2.08ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/lodash/lodash.min.js (47.30.217.134) 3.83ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (47.30.217.134) 2.20ms apps/ui/static-6GDzR INFO 31-May 16:40:01 __init__ 8002 200 GET /img/gramener.png (47.30.217.134) 0.88ms default INFO 31-May 16:40:01 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (47.30.217.134) 2.86ms apps/ui/static-6GDzR INFO 31-May 16:40:02 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (47.30.217.134) 3.68ms apps/ui/static-6GDzR INFO 31-May 16:40:02 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (47.30.217.134) 2.21ms apps/ui/static-6GDzR INFO 31-May 16:40:02 __init__ 8002 200 GET /js/main.js (47.30.217.134) 1.84ms default INFO 31-May 16:40:03 __init__ 8002 200 GET /get_project (47.30.217.134) 2.38ms cal_write_file INFO 31-May 16:40:03 __init__ 8002 200 POST /activity_log (47.30.217.134) 0.94ms cal_activity_log DEBUG 31-May 16:40:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json DEBUG 31-May 17:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 18:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 19:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 20:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 21:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 22:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 31-May 23:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 01-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 01-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s ERROR 01-Jun 00:00:00 __init__ 8002 Gramex 1.55.0 is available. See https://learn.gramener.com/guide/ DEBUG 01-Jun 00:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 01:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 02:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 03:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 04:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 05:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 06:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 07:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 08:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 10:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 11:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 12:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 13:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 15:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 16:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 18:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 20:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 22:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 01-Jun 23:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 02-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 02-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s DEBUG 02-Jun 00:00:00 __init__ 8002 Gramex update ran recently. Deferring check. DEBUG 02-Jun 00:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 01:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 02:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 04:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 05:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 07:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 08:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 09:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 10:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 11:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 12:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 13:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 14:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 15:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 17:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 18:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 19:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 20:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 21:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 22:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 02-Jun 23:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 03-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 03-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s ERROR 03-Jun 00:00:00 __init__ 8002 Gramex 1.55.0 is available. See https://learn.gramener.com/guide/ DEBUG 03-Jun 00:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 02:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 04:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 05:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 06:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 07:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 08:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 03-Jun 11:19:30 __init__ PORT Gramex 1.49.0 | /data/home/gramener/active-learning/active-learning | Python 3.5.5 |Anaconda custom (64-bit)| (default, May 13 2018, 21:12:35) [GCC 7.2.0] DEBUG 03-Jun 11:19:30 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/gramex.yaml DEBUG 03-Jun 11:19:30 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 03-Jun 11:19:30 config PORT Loading config: /data/anaconda/envs/py35/lib/python3.5/site-packages/gramex/apps/ui/gramex.yaml DEBUG 03-Jun 11:19:31 __init__ PORT Loading service: version DEBUG 03-Jun 11:19:31 __init__ PORT Loading service: mime DEBUG 03-Jun 11:19:31 __init__ PORT Loading service: threadpool DEBUG 03-Jun 11:19:31 __init__ PORT Loading service: cache DEBUG 03-Jun 11:19:31 __init__ PORT Loading service: handlers DEBUG 03-Jun 11:19:31 __init__ PORT Loading service: log DEBUG 03-Jun 11:19:31 __init__ PORT Loading service: eventlog DEBUG 03-Jun 11:19:31 __init__ PORT Loading service: app ERROR 03-Jun 11:19:31 __init__ Port 8002 is busy. Use --listen.port= for a different port INFO 03-Jun 11:19:38 __init__ 8002 200 GET / (49.37.206.53) 1.53ms default INFO 03-Jun 11:19:38 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (49.37.206.53) 4.76ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (49.37.206.53) 1.50ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (49.37.206.53) 2.52ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (49.37.206.53) 2.09ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 200 GET /ui/lodash/lodash.min.js (49.37.206.53) 3.91ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (49.37.206.53) 2.16ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (49.37.206.53) 3.33ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (49.37.206.53) 2.17ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 304 GET /ui/font-awesome/css/font-awesome.min.css (49.37.206.53) 0.89ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 304 GET /ui/dropzone/dist/min/dropzone.min.css (49.37.206.53) 0.85ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 304 GET /ui/select2/dist/css/select2.min.css (49.37.206.53) 0.85ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 304 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (49.37.206.53) 0.85ms apps/ui/static-6GDzR INFO 03-Jun 11:19:38 __init__ 8002 304 GET /ui/bootstraptheme.css (49.37.206.53) 0.88ms apps/ui/bootstrap4-Z1WHh INFO 03-Jun 11:19:38 __init__ 8002 304 GET /css/common.css (49.37.206.53) 1.30ms default INFO 03-Jun 11:19:38 __init__ 8002 304 GET /js/main.js (49.37.206.53) 0.83ms default INFO 03-Jun 11:19:38 __init__ 8002 304 GET /img/gramener.png (49.37.206.53) 0.84ms default INFO 03-Jun 11:19:39 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (49.37.206.53) 3.45ms apps/ui/static-6GDzR INFO 03-Jun 11:19:40 __init__ 8002 200 GET /get_project (49.37.206.53) 1.82ms cal_write_file INFO 03-Jun 11:19:40 __init__ 8002 200 POST /activity_log (49.37.206.53) 1.21ms cal_activity_log INFO 03-Jun 11:20:59 __init__ 8002 200 POST /upload (49.37.206.53) 2.97ms cal_upload INFO 03-Jun 11:21:08 __init__ 8002 200 POST /get_project (49.37.206.53) 4.84ms cal_write_file INFO 03-Jun 11:21:08 __init__ 8002 200 POST /build_initial_model (49.37.206.53) 27.80ms cal_build_model 2019-06-03 11:21:08.361024: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 03-Jun 11:21:08 __init__ 8002 200 POST /activity_log (49.37.206.53) 2.79ms cal_activity_log INFO 03-Jun 11:21:08 __init__ 8002 200 POST /jobs_db (49.37.206.53) 1.29ms cal_jobs_db Epoch 1/2 2019-06-03 11:21:11.080643: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-03 11:21:11.080714: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-03 11:21:11.080729: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-03 11:21:11.080739: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-03 11:21:11.080858: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) 32/64 [==============>...............] - ETA: 2s - loss: 1.8119 - top_k_categorical_accuracy: 0.2188 64/64 [==============================] - 3s 42ms/step - loss: 1.6187 - top_k_categorical_accuracy: 0.3125 Epoch 2/2 INFO 03-Jun 11:21:13 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.82ms cal_jobs_db 32/64 [==============>...............] - ETA: 0s - loss: 1.1144 - top_k_categorical_accuracy: 0.2812 64/64 [==============================] - 1s 12ms/step - loss: 0.9577 - top_k_categorical_accuracy: 0.3750 INFO 03-Jun 11:21:19 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.81ms cal_jobs_db INFO 03-Jun 11:21:19 __init__ 8002 200 POST /job_results (49.37.206.53) 0.95ms cal_job_result INFO 03-Jun 11:21:19 __init__ 8002 200 GET /get_project (49.37.206.53) 5.72ms cal_write_file INFO 03-Jun 11:21:19 __init__ 8002 200 POST /activity_log (49.37.206.53) 0.99ms cal_activity_log INFO 03-Jun 11:21:19 __init__ 8002 200 POST /activity_log (49.37.206.53) 0.76ms cal_activity_log INFO 03-Jun 11:21:55 __init__ 8002 200 POST /eval_model (49.37.206.53) 1.54ms cal_eval_model 2019-06-03 11:21:56.076442: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 03-Jun 11:21:56 __init__ 8002 200 POST /activity_log (49.37.206.53) 1.48ms cal_activity_log INFO 03-Jun 11:21:56 __init__ 8002 200 POST /jobs_db (49.37.206.53) 1.26ms cal_jobs_db 2019-06-03 11:21:58.475712: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-03 11:21:58.475801: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-03 11:21:58.475817: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-03 11:21:58.475827: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-03 11:21:58.475953: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 03-Jun 11:22:01 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.83ms cal_jobs_db 22/22 [==============================] - 1s 50ms/step INFO 03-Jun 11:22:06 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.80ms cal_jobs_db INFO 03-Jun 11:22:07 __init__ 8002 200 POST /job_results (49.37.206.53) 0.91ms cal_job_result INFO 03-Jun 11:22:07 __init__ 8002 200 POST /activity_log (49.37.206.53) 1.02ms cal_activity_log INFO 03-Jun 11:22:41 __init__ 8002 200 POST /upload (49.37.206.53) 2.95ms cal_upload INFO 03-Jun 11:22:44 __init__ 8002 200 POST /run_model (49.37.206.53) 1.82ms cal_run_model 2019-06-03 11:22:44.108698: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 03-Jun 11:22:44 __init__ 8002 200 POST /activity_log (49.37.206.53) 1.03ms cal_activity_log INFO 03-Jun 11:22:44 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.74ms cal_jobs_db 2019-06-03 11:22:46.636627: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-03 11:22:46.636716: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-03 11:22:46.636732: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-03 11:22:46.636742: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-03 11:22:46.636864: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 03-Jun 11:22:49 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.89ms cal_jobs_db INFO 03-Jun 11:22:54 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.80ms cal_jobs_db INFO 03-Jun 11:22:55 __init__ 8002 200 POST /job_results (49.37.206.53) 1.34ms cal_job_result INFO 03-Jun 11:22:55 __init__ 8002 200 GET /template/result_table.html (49.37.206.53) 1.20ms default INFO 03-Jun 11:22:55 __init__ 8002 200 POST /activity_log (49.37.206.53) 0.73ms cal_activity_log INFO 03-Jun 11:23:14 __init__ 8002 200 POST /active_learn (49.37.206.53) 1.55ms cal_active_learn 2019-06-03 11:23:14.671025: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 03-Jun 11:23:14 __init__ 8002 200 POST /activity_log (49.37.206.53) 2.80ms cal_activity_log INFO 03-Jun 11:23:14 __init__ 8002 200 POST /jobs_db (49.37.206.53) 1.19ms cal_jobs_db 2019-06-03 11:23:17.213747: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-03 11:23:17.213848: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-03 11:23:17.213864: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-03 11:23:17.213873: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-03 11:23:17.214010: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 03-Jun 11:23:20 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.85ms cal_jobs_db INFO 03-Jun 11:23:25 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.80ms cal_jobs_db INFO 03-Jun 11:23:25 __init__ 8002 200 POST /job_results (49.37.206.53) 1.50ms cal_job_result INFO 03-Jun 11:23:25 __init__ 8002 200 GET /template/learn_table.html (49.37.206.53) 1.32ms default INFO 03-Jun 11:23:25 __init__ 8002 200 POST /activity_log (49.37.206.53) 0.71ms cal_activity_log DEBUG 03-Jun 11:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 03-Jun 11:23:47 __init__ 8002 200 POST /retrain (49.37.206.53) 23.32ms cal_train 2019-06-03 11:23:47.945507: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 03-Jun 11:23:48 __init__ 8002 200 POST /activity_log (49.37.206.53) 1.76ms cal_activity_log INFO 03-Jun 11:23:48 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.93ms cal_jobs_db Epoch 1/2 2019-06-03 11:23:50.782110: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-03 11:23:50.782203: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-03 11:23:50.782219: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-03 11:23:50.782229: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-03 11:23:50.782354: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) 32/64 [==============>...............] - ETA: 2s - loss: 2.3317 - top_k_categorical_accuracy: 0.0312INFO 03-Jun 11:23:53 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.82ms cal_jobs_db 64/64 [==============================] - 3s 41ms/step - loss: 2.0985 - top_k_categorical_accuracy: 0.0938 Epoch 2/2 32/64 [==============>...............] - ETA: 0s - loss: 1.3743 - top_k_categorical_accuracy: 0.3438 64/64 [==============================] - 1s 12ms/step - loss: 1.2439 - top_k_categorical_accuracy: 0.2812 INFO 03-Jun 11:23:58 __init__ 8002 200 POST /jobs_db (49.37.206.53) 0.82ms cal_jobs_db INFO 03-Jun 11:23:58 __init__ 8002 200 POST /job_results (49.37.206.53) 0.89ms cal_job_result INFO 03-Jun 11:23:59 __init__ 8002 200 POST /activity_log (49.37.206.53) 0.93ms cal_activity_log DEBUG 03-Jun 14:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 15:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 16:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 18:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 20:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 21:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 03-Jun 22:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 04-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 04-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s DEBUG 04-Jun 00:00:00 __init__ 8002 Gramex update ran recently. Deferring check. DEBUG 04-Jun 00:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 01:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 02:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 05:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 07:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 09:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 10:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 11:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 12:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 13:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 14:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 15:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 17:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 19:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 20:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 21:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 04-Jun 22:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 05-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 05-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s ERROR 05-Jun 00:00:01 __init__ 8002 Gramex 1.55.0 is available. See https://learn.gramener.com/guide/ DEBUG 05-Jun 00:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 01:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 02:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 04:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 05:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 06:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 07:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 08:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 09:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 11:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 12:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 05-Jun 17:47:57 __init__ 8002 200 GET / (192.140.152.237) 1.51ms default INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/bootstraptheme.css (192.140.152.237) 5.60ms apps/ui/bootstrap4-Z1WHh INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (192.140.152.237) 1.99ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /css/common.css (192.140.152.237) 0.88ms default INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (192.140.152.237) 1.10ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (192.140.152.237) 1.13ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (192.140.152.237) 4.42ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (192.140.152.237) 1.50ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (192.140.152.237) 2.51ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (192.140.152.237) 2.11ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/lodash/lodash.min.js (192.140.152.237) 3.86ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (192.140.152.237) 2.16ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (192.140.152.237) 3.37ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (192.140.152.237) 2.17ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /js/main.js (192.140.152.237) 1.17ms default INFO 05-Jun 17:47:57 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (192.140.152.237) 1.43ms apps/ui/static-6GDzR INFO 05-Jun 17:47:57 __init__ 8002 200 GET /img/gramener.png (192.140.152.237) 0.93ms default INFO 05-Jun 17:47:58 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (192.140.152.237) 3.30ms apps/ui/static-6GDzR INFO 05-Jun 17:47:58 __init__ 8002 200 GET /get_project (192.140.152.237) 1.87ms cal_write_file INFO 05-Jun 17:47:58 __init__ 8002 200 POST /activity_log (192.140.152.237) 0.96ms cal_activity_log DEBUG 05-Jun 17:48:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 20:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 21:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 22:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 05-Jun 23:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 06-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 06-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s DEBUG 06-Jun 00:00:00 __init__ 8002 Gramex update ran recently. Deferring check. DEBUG 06-Jun 00:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 06-Jun 01:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 06-Jun 03:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 06-Jun 04:19:56 __init__ 8002 200 GET /?p_name=news (192.140.152.237) 1.49ms default INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/bootstraptheme.css (192.140.152.237) 5.47ms apps/ui/bootstrap4-Z1WHh INFO 06-Jun 04:19:57 __init__ 8002 200 GET /css/common.css (192.140.152.237) 1.28ms default INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (192.140.152.237) 1.10ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (192.140.152.237) 1.16ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (192.140.152.237) 1.10ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (192.140.152.237) 4.52ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /img/gramener.png (192.140.152.237) 0.87ms default INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (192.140.152.237) 1.49ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (192.140.152.237) 2.50ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (192.140.152.237) 2.08ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/lodash/lodash.min.js (192.140.152.237) 3.74ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (192.140.152.237) 2.16ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (192.140.152.237) 3.22ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (192.140.152.237) 2.20ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /js/main.js (192.140.152.237) 1.62ms default INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (192.140.152.237) 1.65ms apps/ui/static-6GDzR INFO 06-Jun 04:19:57 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (192.140.152.237) 3.33ms apps/ui/static-6GDzR INFO 06-Jun 04:19:58 __init__ 8002 200 GET /get_project (192.140.152.237) 2.19ms cal_write_file INFO 06-Jun 04:19:58 __init__ 8002 200 POST /activity_log (192.140.152.237) 0.94ms cal_activity_log INFO 06-Jun 04:19:58 __init__ 8002 200 POST /activity_log (192.140.152.237) 0.71ms cal_activity_log DEBUG 06-Jun 04:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 06-Jun 05:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 06-Jun 06:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 06-Jun 06:38:45 __init__ 8002 200 GET / (14.98.200.42) 1.44ms default INFO 06-Jun 06:38:45 __init__ 8002 200 GET /ui/bootstraptheme.css (14.98.200.42) 6.96ms apps/ui/bootstrap4-Z1WHh INFO 06-Jun 06:38:45 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (14.98.200.42) 1.74ms apps/ui/static-6GDzR INFO 06-Jun 06:38:45 __init__ 8002 200 GET /css/common.css (14.98.200.42) 0.88ms default INFO 06-Jun 06:38:45 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (14.98.200.42) 1.16ms apps/ui/static-6GDzR INFO 06-Jun 06:38:45 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (14.98.200.42) 1.11ms apps/ui/static-6GDzR INFO 06-Jun 06:38:45 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (14.98.200.42) 1.07ms apps/ui/static-6GDzR INFO 06-Jun 06:38:45 __init__ 8002 200 GET /img/gramener.png (14.98.200.42) 0.86ms default INFO 06-Jun 06:38:45 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (14.98.200.42) 4.64ms apps/ui/static-6GDzR INFO 06-Jun 06:38:46 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (14.98.200.42) 1.76ms apps/ui/static-6GDzR INFO 06-Jun 06:38:46 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (14.98.200.42) 2.96ms apps/ui/static-6GDzR INFO 06-Jun 06:38:46 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (14.98.200.42) 2.09ms apps/ui/static-6GDzR INFO 06-Jun 06:38:46 __init__ 8002 200 GET /ui/lodash/lodash.min.js (14.98.200.42) 3.76ms apps/ui/static-6GDzR INFO 06-Jun 06:38:46 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (14.98.200.42) 2.16ms apps/ui/static-6GDzR INFO 06-Jun 06:38:46 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (14.98.200.42) 3.37ms apps/ui/static-6GDzR INFO 06-Jun 06:38:46 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (14.98.200.42) 2.19ms apps/ui/static-6GDzR INFO 06-Jun 06:38:46 __init__ 8002 200 GET /js/main.js (14.98.200.42) 1.13ms default INFO 06-Jun 06:38:46 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (14.98.200.42) 3.27ms apps/ui/static-6GDzR INFO 06-Jun 06:38:47 __init__ 8002 200 GET /get_project (14.98.200.42) 2.02ms cal_write_file INFO 06-Jun 06:38:47 __init__ 8002 200 POST /activity_log (14.98.200.42) 0.89ms cal_activity_log DEBUG 06-Jun 06:38:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json DEBUG 06-Jun 07:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 06-Jun 11:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 06-Jun 16:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 07-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 07-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s ERROR 07-Jun 00:00:00 __init__ 8002 Gramex 1.55.0 is available. See https://learn.gramener.com/guide/ DEBUG 07-Jun 12:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json DEBUG 07-Jun 13:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 08-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 08-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s DEBUG 08-Jun 00:00:00 __init__ 8002 Gramex update ran recently. Deferring check. INFO 08-Jun 16:08:26 __init__ 8002 200 GET / (42.106.194.106) 1.48ms default INFO 08-Jun 16:08:26 __init__ 8002 200 GET /ui/bootstraptheme.css (42.106.194.106) 5.43ms apps/ui/bootstrap4-Z1WHh INFO 08-Jun 16:08:26 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (42.106.194.106) 1.73ms apps/ui/static-6GDzR INFO 08-Jun 16:08:26 __init__ 8002 200 GET /css/common.css (42.106.194.106) 0.85ms default INFO 08-Jun 16:08:26 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (42.106.194.106) 1.05ms apps/ui/static-6GDzR INFO 08-Jun 16:08:26 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (42.106.194.106) 1.13ms apps/ui/static-6GDzR INFO 08-Jun 16:08:26 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (42.106.194.106) 1.08ms apps/ui/static-6GDzR INFO 08-Jun 16:08:26 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (42.106.194.106) 4.53ms apps/ui/static-6GDzR INFO 08-Jun 16:08:27 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (42.106.194.106) 1.84ms apps/ui/static-6GDzR INFO 08-Jun 16:08:27 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (42.106.194.106) 2.51ms apps/ui/static-6GDzR INFO 08-Jun 16:08:27 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (42.106.194.106) 2.09ms apps/ui/static-6GDzR INFO 08-Jun 16:08:27 __init__ 8002 200 GET /ui/lodash/lodash.min.js (42.106.194.106) 3.77ms apps/ui/static-6GDzR INFO 08-Jun 16:08:27 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (42.106.194.106) 2.20ms apps/ui/static-6GDzR INFO 08-Jun 16:08:27 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (42.106.194.106) 3.29ms apps/ui/static-6GDzR INFO 08-Jun 16:08:27 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (42.106.194.106) 2.53ms apps/ui/static-6GDzR INFO 08-Jun 16:08:27 __init__ 8002 200 GET /js/main.js (42.106.194.106) 1.13ms default INFO 08-Jun 16:08:27 __init__ 8002 200 GET /img/gramener.png (42.106.194.106) 1.21ms default INFO 08-Jun 16:08:28 __init__ 8002 200 GET /get_project (42.106.194.106) 1.96ms cal_write_file INFO 08-Jun 16:08:28 __init__ 8002 200 POST /activity_log (42.106.194.106) 0.94ms cal_activity_log INFO 08-Jun 16:08:29 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (42.106.194.106) 3.49ms apps/ui/static-6GDzR DEBUG 08-Jun 16:08:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 08-Jun 16:08:55 __init__ 8002 200 POST /activity_log (42.106.194.106) 0.93ms cal_activity_log DEBUG 08-Jun 16:08:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 09-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 09-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s ERROR 09-Jun 00:00:01 __init__ 8002 Gramex 1.56.0 is available. See https://learn.gramener.com/guide/ INFO 10-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 10-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s DEBUG 10-Jun 00:00:00 __init__ 8002 Gramex update ran recently. Deferring check. INFO 11-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 11-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s ERROR 11-Jun 00:00:00 __init__ 8002 Gramex 1.56.0 is available. See https://learn.gramener.com/guide/ INFO 11-Jun 06:10:37 __init__ 8002 200 GET / (203.212.237.39) 1.58ms default INFO 11-Jun 06:10:38 __init__ 8002 200 GET /ui/bootstraptheme.css (203.212.237.39) 5.50ms apps/ui/bootstrap4-Z1WHh INFO 11-Jun 06:10:38 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (203.212.237.39) 1.80ms apps/ui/static-6GDzR INFO 11-Jun 06:10:38 __init__ 8002 200 GET /css/common.css (203.212.237.39) 0.90ms default INFO 11-Jun 06:10:38 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (203.212.237.39) 1.44ms apps/ui/static-6GDzR INFO 11-Jun 06:10:38 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (203.212.237.39) 1.31ms apps/ui/static-6GDzR INFO 11-Jun 06:10:38 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (203.212.237.39) 1.08ms apps/ui/static-6GDzR INFO 11-Jun 06:10:38 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (203.212.237.39) 4.86ms apps/ui/static-6GDzR INFO 11-Jun 06:10:38 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (203.212.237.39) 1.52ms apps/ui/static-6GDzR INFO 11-Jun 06:10:38 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (203.212.237.39) 2.52ms apps/ui/static-6GDzR INFO 11-Jun 06:10:39 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (203.212.237.39) 2.42ms apps/ui/static-6GDzR INFO 11-Jun 06:10:39 __init__ 8002 200 GET /ui/lodash/lodash.min.js (203.212.237.39) 4.07ms apps/ui/static-6GDzR INFO 11-Jun 06:10:39 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (203.212.237.39) 4.64ms apps/ui/static-6GDzR INFO 11-Jun 06:10:39 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (203.212.237.39) 2.20ms apps/ui/static-6GDzR INFO 11-Jun 06:10:39 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (203.212.237.39) 3.27ms apps/ui/static-6GDzR INFO 11-Jun 06:10:39 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (203.212.237.39) 2.54ms apps/ui/static-6GDzR INFO 11-Jun 06:10:39 __init__ 8002 200 GET /js/main.js (203.212.237.39) 1.15ms default INFO 11-Jun 06:10:39 __init__ 8002 200 GET /img/gramener.png (203.212.237.39) 0.89ms default INFO 11-Jun 06:10:40 __init__ 8002 200 GET /get_project (203.212.237.39) 1.96ms cal_write_file DEBUG 11-Jun 06:10:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:10:40 __init__ 8002 200 POST /activity_log (203.212.237.39) 0.85ms cal_activity_log DEBUG 11-Jun 06:10:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:32:49 __init__ 8002 200 GET / (103.41.99.58) 1.47ms default INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/bootstraptheme.css (103.41.99.58) 5.40ms apps/ui/bootstrap4-Z1WHh INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (103.41.99.58) 1.72ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /css/common.css (103.41.99.58) 0.83ms default INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (103.41.99.58) 1.03ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (103.41.99.58) 1.09ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (103.41.99.58) 1.05ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /img/gramener.png (103.41.99.58) 0.83ms default INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (103.41.99.58) 4.32ms apps/ui/static-6GDzR DEBUG 11-Jun 06:32:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (103.41.99.58) 1.45ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (103.41.99.58) 2.48ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (103.41.99.58) 2.07ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/lodash/lodash.min.js (103.41.99.58) 4.07ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (103.41.99.58) 2.13ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (103.41.99.58) 3.30ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (103.41.99.58) 2.13ms apps/ui/static-6GDzR INFO 11-Jun 06:32:50 __init__ 8002 200 GET /js/main.js (103.41.99.58) 1.10ms default INFO 11-Jun 06:32:51 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (103.41.99.58) 3.30ms apps/ui/static-6GDzR INFO 11-Jun 06:32:52 __init__ 8002 200 GET /get_project (103.41.99.58) 1.97ms cal_write_file INFO 11-Jun 06:32:52 __init__ 8002 200 POST /activity_log (103.41.99.58) 0.90ms cal_activity_log DEBUG 11-Jun 06:32:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:33:07 __init__ 8002 200 POST /run_model (103.41.99.58) 1.65ms cal_run_model INFO 11-Jun 06:33:07 __init__ 8002 200 POST /activity_log (103.41.99.58) 46.83ms cal_activity_log INFO 11-Jun 06:33:08 __init__ 8002 200 POST /jobs_db (103.41.99.58) 31.25ms cal_jobs_db 2019-06-11 06:33:08.296396: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. DEBUG 11-Jun 06:33:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 2019-06-11 06:33:10.768502: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-11 06:33:10.768589: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-11 06:33:10.768605: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-11 06:33:10.768614: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-11 06:33:10.768740: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 11-Jun 06:33:13 __init__ 8002 200 POST /jobs_db (103.41.99.58) 0.83ms cal_jobs_db DEBUG 11-Jun 06:33:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:33:18 __init__ 8002 200 POST /jobs_db (103.41.99.58) 0.82ms cal_jobs_db DEBUG 11-Jun 06:33:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:33:23 __init__ 8002 200 POST /jobs_db (103.41.99.58) 0.83ms cal_jobs_db INFO 11-Jun 06:33:24 __init__ 8002 200 POST /job_results (103.41.99.58) 98.64ms cal_job_result DEBUG 11-Jun 06:33:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:33:29 __init__ 8002 200 POST /activity_log (103.41.99.58) 1.10ms cal_activity_log INFO 11-Jun 06:33:29 __init__ 8002 200 GET /template/result_table.html (103.41.99.58) 0.93ms default DEBUG 11-Jun 06:33:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json error Extra data: line 1 column 913 (char 912) active_learning.py 299 WARNING 11-Jun 06:34:36 functionhandler 8002 url:cal_activity_log: FunctionHandler can write strings/dict, not None INFO 11-Jun 06:34:36 __init__ 8002 200 POST /activity_log (103.41.99.58) 2.19ms cal_activity_log DEBUG 11-Jun 06:34:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:34:41 __init__ 8002 200 POST /activity_log (103.41.99.58) 1.40ms cal_activity_log INFO 11-Jun 06:34:43 __init__ 8002 200 POST /run_model (103.41.99.58) 1.67ms cal_run_model 2019-06-11 06:34:43.879236: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 11-Jun 06:34:44 __init__ 8002 200 POST /activity_log (103.41.99.58) 0.99ms cal_activity_log INFO 11-Jun 06:34:44 __init__ 8002 200 POST /jobs_db (103.41.99.58) 0.85ms cal_jobs_db DEBUG 11-Jun 06:34:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 2019-06-11 06:34:46.400802: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-11 06:34:46.400892: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-11 06:34:46.400908: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-11 06:34:46.400918: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-11 06:34:46.401059: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 11-Jun 06:34:49 __init__ 8002 200 POST /jobs_db (103.41.99.58) 0.85ms cal_jobs_db DEBUG 11-Jun 06:34:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:34:54 __init__ 8002 200 POST /jobs_db (103.41.99.58) 0.83ms cal_jobs_db INFO 11-Jun 06:34:54 __init__ 8002 200 POST /job_results (103.41.99.58) 1.17ms cal_job_result INFO 11-Jun 06:34:55 __init__ 8002 200 POST /activity_log (103.41.99.58) 0.92ms cal_activity_log DEBUG 11-Jun 06:34:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:35:14 __init__ 8002 200 POST /active_learn (103.41.99.58) 1.54ms cal_active_learn 2019-06-11 06:35:14.868261: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 11-Jun 06:35:15 __init__ 8002 200 POST /activity_log (103.41.99.58) 2.86ms cal_activity_log INFO 11-Jun 06:35:15 __init__ 8002 200 POST /jobs_db (103.41.99.58) 1.27ms cal_jobs_db DEBUG 11-Jun 06:35:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 2019-06-11 06:35:17.434501: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-11 06:35:17.434589: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-11 06:35:17.434605: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-11 06:35:17.434616: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-11 06:35:17.434743: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 11-Jun 06:35:20 __init__ 8002 200 POST /jobs_db (103.41.99.58) 0.85ms cal_jobs_db DEBUG 11-Jun 06:35:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 06:35:25 __init__ 8002 200 POST /jobs_db (103.41.99.58) 0.84ms cal_jobs_db INFO 11-Jun 06:35:25 __init__ 8002 200 POST /job_results (103.41.99.58) 1.10ms cal_job_result INFO 11-Jun 06:35:26 __init__ 8002 200 GET /template/learn_table.html (103.41.99.58) 1.25ms default INFO 11-Jun 06:35:26 __init__ 8002 200 POST /activity_log (103.41.99.58) 0.75ms cal_activity_log DEBUG 11-Jun 06:35:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:50:36 __init__ 8002 200 GET / (115.110.126.164) 1.84ms default INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/bootstraptheme.css (115.110.126.164) 5.42ms apps/ui/bootstrap4-Z1WHh INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (115.110.126.164) 1.73ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /css/common.css (115.110.126.164) 0.87ms default INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (115.110.126.164) 1.07ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (115.110.126.164) 1.55ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (115.110.126.164) 1.10ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /img/gramener.png (115.110.126.164) 0.86ms default INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (115.110.126.164) 4.41ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (115.110.126.164) 1.50ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (115.110.126.164) 2.84ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (115.110.126.164) 2.09ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/lodash/lodash.min.js (115.110.126.164) 3.77ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (115.110.126.164) 2.17ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (115.110.126.164) 3.57ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (115.110.126.164) 2.19ms apps/ui/static-6GDzR INFO 11-Jun 08:50:36 __init__ 8002 200 GET /js/main.js (115.110.126.164) 1.15ms default INFO 11-Jun 08:50:37 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (115.110.126.164) 3.27ms apps/ui/static-6GDzR INFO 11-Jun 08:50:37 __init__ 8002 200 GET /get_project (115.110.126.164) 1.94ms cal_write_file INFO 11-Jun 08:50:37 __init__ 8002 200 POST /activity_log (115.110.126.164) 0.89ms cal_activity_log DEBUG 11-Jun 08:50:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:50:52 __init__ 8002 200 POST /run_model (115.110.126.164) 184.16ms cal_run_model INFO 11-Jun 08:50:52 __init__ 8002 200 POST /activity_log (115.110.126.164) 42.01ms cal_activity_log INFO 11-Jun 08:50:52 __init__ 8002 200 POST /jobs_db (115.110.126.164) 41.47ms cal_jobs_db 2019-06-11 08:50:53.462959: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. DEBUG 11-Jun 08:50:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 2019-06-11 08:50:55.863254: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-11 08:50:55.863342: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-11 08:50:55.863358: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-11 08:50:55.863368: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-11 08:50:55.863480: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) INFO 11-Jun 08:50:58 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 08:51:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:51:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.85ms cal_jobs_db DEBUG 11-Jun 08:51:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:51:08 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:51:08 __init__ 8002 200 POST /job_results (115.110.126.164) 142.66ms cal_job_result DEBUG 11-Jun 08:51:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:51:10 __init__ 8002 200 GET /template/result_table.html (115.110.126.164) 1.28ms default INFO 11-Jun 08:51:10 __init__ 8002 200 POST /activity_log (115.110.126.164) 0.77ms cal_activity_log DEBUG 11-Jun 08:51:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:51:36 __init__ 8002 200 POST /active_learn (115.110.126.164) 1.49ms cal_active_learn INFO 11-Jun 08:51:37 __init__ 8002 200 POST /activity_log (115.110.126.164) 51.87ms cal_activity_log INFO 11-Jun 08:51:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 26.17ms cal_jobs_db 2019-06-11 08:51:37.545010: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-06-11 08:51:40.039761: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-11 08:51:40.039852: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-11 08:51:40.039869: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-11 08:51:40.039879: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-11 08:51:40.040002: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 11-Jun 08:51:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:51:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db DEBUG 11-Jun 08:51:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:51:47 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 08:51:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:51:52 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.99ms cal_jobs_db INFO 11-Jun 08:51:53 __init__ 8002 200 POST /job_results (115.110.126.164) 1.51ms cal_job_result INFO 11-Jun 08:51:53 __init__ 8002 200 GET /template/learn_table.html (115.110.126.164) 1.31ms default INFO 11-Jun 08:51:53 __init__ 8002 200 POST /activity_log (115.110.126.164) 0.82ms cal_activity_log DEBUG 11-Jun 08:51:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:52:25 __init__ 8002 200 POST /eval_model (115.110.126.164) 1.60ms cal_eval_model INFO 11-Jun 08:52:25 __init__ 8002 200 POST /activity_log (115.110.126.164) 0.96ms cal_activity_log INFO 11-Jun 08:52:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.67ms cal_jobs_db 2019-06-11 08:52:25.899962: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. 2019-06-11 08:52:28.354253: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-11 08:52:28.354341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-11 08:52:28.354356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-11 08:52:28.354366: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-11 08:52:28.354491: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 11-Jun 08:52:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:52:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.88ms cal_jobs_db 32/128 [======>.......................] - ETA: 3s 64/128 [==============>...............] - ETA: 1s 96/128 [=====================>........] - ETA: 0s 128/128 [==============================] - 2s 19ms/step DEBUG 11-Jun 08:52:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:52:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 08:52:36 __init__ 8002 200 POST /job_results (115.110.126.164) 0.79ms cal_job_result INFO 11-Jun 08:52:36 __init__ 8002 200 POST /activity_log (115.110.126.164) 0.86ms cal_activity_log DEBUG 11-Jun 08:52:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:52:48 __init__ 8002 200 POST /retrain (115.110.126.164) 376.98ms cal_train 2019-06-11 08:52:48.613458: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. INFO 11-Jun 08:52:49 __init__ 8002 200 POST /retrain (115.110.126.164) 579.42ms cal_train INFO 11-Jun 08:52:49 __init__ 8002 200 POST /activity_log (115.110.126.164) 2.65ms cal_activity_log INFO 11-Jun 08:52:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 2.16ms cal_jobs_db INFO 11-Jun 08:52:49 __init__ 8002 200 POST /activity_log (115.110.126.164) 35.97ms cal_activity_log INFO 11-Jun 08:52:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 7.51ms cal_jobs_db 2019-06-11 08:52:49.671366: W tensorflow/core/graph/graph_constructor.cc:1265] Importing a graph with a lower producer version 26 into an existing graph with producer version 27. Shape inference will have run different parts of the graph with different producer versions. DEBUG 11-Jun 08:52:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:52:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 2.87ms cal_jobs_db INFO 11-Jun 08:52:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.03ms cal_jobs_db Epoch 1/10 2019-06-11 08:52:55.190459: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-06-11 08:52:55.190533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-06-11 08:52:55.190548: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-06-11 08:52:55.190557: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-06-11 08:52:55.190678: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6468 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 3a15:00:00.0, compute capability: 5.2) DEBUG 11-Jun 08:52:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json Epoch 1/10 32/288 [==>...........................] - ETA: 19s - loss: 4.0751 - acc: 0.1562 32/288 [==>...........................] - ETA: 27s - loss: 6.0946 - acc: 0.2500 64/288 [=====>........................] - ETA: 11s - loss: 3.7909 - acc: 0.1875 64/288 [=====>........................] - ETA: 14s - loss: 5.2841 - acc: 0.2656INFO 11-Jun 08:52:59 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.12ms cal_jobs_db 96/288 [=========>....................] - ETA: 7s - loss: 3.1101 - acc: 0.2604 INFO 11-Jun 08:52:59 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db 96/288 [=========>....................] - ETA: 9s - loss: 4.8611 - acc: 0.2812 DEBUG 11-Jun 08:53:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 128/288 [============>.................] - ETA: 5s - loss: 2.6014 - acc: 0.3516 128/288 [============>.................] - ETA: 7s - loss: 4.7554 - acc: 0.2969 160/288 [===============>..............] - ETA: 4s - loss: 2.3790 - acc: 0.3625 160/288 [===============>..............] - ETA: 5s - loss: 4.6525 - acc: 0.2938 192/288 [===================>..........] - ETA: 3s - loss: 2.2815 - acc: 0.3646 192/288 [===================>..........] - ETA: 3s - loss: 4.3600 - acc: 0.2969 224/288 [======================>.......] - ETA: 1s - loss: 2.2007 - acc: 0.3750 224/288 [======================>.......] - ETA: 2s - loss: 4.1219 - acc: 0.3170 256/288 [=========================>....] - ETA: 0s - loss: 2.0252 - acc: 0.4062 256/288 [=========================>....] - ETA: 1s - loss: 3.9582 - acc: 0.3438 288/288 [==============================] - 8s 29ms/step - loss: 1.8519 - acc: 0.4549 Epoch 2/10 288/288 [==============================] - 9s 32ms/step - loss: 3.7778 - acc: 0.3646 Epoch 2/10 INFO 11-Jun 08:53:04 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db 32/288 [==>...........................] - ETA: 5s - loss: 0.2523 - acc: 0.9062INFO 11-Jun 08:53:05 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db 32/288 [==>...........................] - ETA: 5s - loss: 1.4222 - acc: 0.6562DEBUG 11-Jun 08:53:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 64/288 [=====>........................] - ETA: 5s - loss: 0.3247 - acc: 0.8906 64/288 [=====>........................] - ETA: 5s - loss: 1.6127 - acc: 0.6562 96/288 [=========>....................] - ETA: 4s - loss: 0.2820 - acc: 0.9167 96/288 [=========>....................] - ETA: 4s - loss: 1.7085 - acc: 0.6042 128/288 [============>.................] - ETA: 3s - loss: 0.2375 - acc: 0.9297 128/288 [============>.................] - ETA: 3s - loss: 1.7088 - acc: 0.5938 160/288 [===============>..............] - ETA: 2s - loss: 0.2161 - acc: 0.9437 160/288 [===============>..............] - ETA: 2s - loss: 1.6437 - acc: 0.6062 192/288 [===================>..........] - ETA: 2s - loss: 0.1966 - acc: 0.9479 192/288 [===================>..........] - ETA: 2s - loss: 1.4385 - acc: 0.6615 224/288 [======================>.......] - ETA: 1s - loss: 0.1773 - acc: 0.9554 224/288 [======================>.......] - ETA: 1s - loss: 1.3840 - acc: 0.6741 256/288 [=========================>....] - ETA: 0s - loss: 0.1577 - acc: 0.9609INFO 11-Jun 08:53:10 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 08:53:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 256/288 [=========================>....] - ETA: 0s - loss: 1.3070 - acc: 0.6758INFO 11-Jun 08:53:10 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db 288/288 [==============================] - 7s 23ms/step - loss: 0.1495 - acc: 0.9583 Epoch 3/10 288/288 [==============================] - 7s 23ms/step - loss: 1.2816 - acc: 0.6771 Epoch 3/10 32/288 [==>...........................] - ETA: 5s - loss: 0.0354 - acc: 1.0000 32/288 [==>...........................] - ETA: 5s - loss: 0.4942 - acc: 0.8438 64/288 [=====>........................] - ETA: 5s - loss: 0.0344 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 0.7745 - acc: 0.7812 96/288 [=========>....................] - ETA: 4s - loss: 0.0434 - acc: 0.9896 96/288 [=========>....................] - ETA: 4s - loss: 0.6402 - acc: 0.8021 128/288 [============>.................] - ETA: 3s - loss: 0.0446 - acc: 0.9844 128/288 [============>.................] - ETA: 3s - loss: 0.6937 - acc: 0.8047 160/288 [===============>..............] - ETA: 2s - loss: 0.0363 - acc: 0.9875 160/288 [===============>..............] - ETA: 2s - loss: 0.5858 - acc: 0.8250 192/288 [===================>..........] - ETA: 2s - loss: 0.0324 - acc: 0.9896DEBUG 11-Jun 08:53:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:53:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.75ms cal_jobs_db 192/288 [===================>..........] - ETA: 2s - loss: 0.5906 - acc: 0.8281INFO 11-Jun 08:53:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db 224/288 [======================>.......] - ETA: 1s - loss: 0.0286 - acc: 0.9911 224/288 [======================>.......] - ETA: 1s - loss: 0.5379 - acc: 0.8393 256/288 [=========================>....] - ETA: 0s - loss: 0.0255 - acc: 0.9922 256/288 [=========================>....] - ETA: 0s - loss: 0.5604 - acc: 0.8359 288/288 [==============================] - 7s 23ms/step - loss: 0.0230 - acc: 0.9931 Epoch 4/10 288/288 [==============================] - 7s 23ms/step - loss: 0.5397 - acc: 0.8438 Epoch 4/10 32/288 [==>...........................] - ETA: 5s - loss: 0.0044 - acc: 1.0000 32/288 [==>...........................] - ETA: 5s - loss: 0.3674 - acc: 0.9062 64/288 [=====>........................] - ETA: 5s - loss: 0.0028 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 0.3839 - acc: 0.9219 96/288 [=========>....................] - ETA: 4s - loss: 0.0024 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 0.2734 - acc: 0.9375DEBUG 11-Jun 08:53:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 128/288 [============>.................] - ETA: 3s - loss: 0.0019 - acc: 1.0000INFO 11-Jun 08:53:20 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db 128/288 [============>.................] - ETA: 3s - loss: 0.3027 - acc: 0.9219INFO 11-Jun 08:53:20 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db 160/288 [===============>..............] - ETA: 2s - loss: 0.0068 - acc: 0.9938 160/288 [===============>..............] - ETA: 2s - loss: 0.2879 - acc: 0.9125 192/288 [===================>..........] - ETA: 2s - loss: 0.0060 - acc: 0.9948 192/288 [===================>..........] - ETA: 2s - loss: 0.3167 - acc: 0.9062 224/288 [======================>.......] - ETA: 1s - loss: 0.0068 - acc: 0.9955 224/288 [======================>.......] - ETA: 1s - loss: 0.2916 - acc: 0.9062 256/288 [=========================>....] - ETA: 0s - loss: 0.0060 - acc: 0.9961 256/288 [=========================>....] - ETA: 0s - loss: 0.2772 - acc: 0.9062 288/288 [==============================] - 7s 23ms/step - loss: 0.0055 - acc: 0.9965 Epoch 5/10 288/288 [==============================] - 7s 23ms/step - loss: 0.2551 - acc: 0.9132 Epoch 5/10 32/288 [==>...........................] - ETA: 5s - loss: 0.0014 - acc: 1.0000 32/288 [==>...........................] - ETA: 5s - loss: 0.2596 - acc: 0.8438DEBUG 11-Jun 08:53:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 64/288 [=====>........................] - ETA: 5s - loss: 8.0648e-04 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 0.1759 - acc: 0.9062INFO 11-Jun 08:53:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 08:53:26 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db 96/288 [=========>....................] - ETA: 4s - loss: 9.8112e-04 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 0.1388 - acc: 0.9271 128/288 [============>.................] - ETA: 3s - loss: 0.0010 - acc: 1.0000 128/288 [============>.................] - ETA: 3s - loss: 0.1493 - acc: 0.9297 160/288 [===============>..............] - ETA: 2s - loss: 8.8565e-04 - acc: 1.0000 160/288 [===============>..............] - ETA: 2s - loss: 0.1360 - acc: 0.9375 192/288 [===================>..........] - ETA: 2s - loss: 9.4123e-04 - acc: 1.0000 192/288 [===================>..........] - ETA: 2s - loss: 0.1236 - acc: 0.9375 224/288 [======================>.......] - ETA: 1s - loss: 9.2703e-04 - acc: 1.0000 224/288 [======================>.......] - ETA: 1s - loss: 0.1424 - acc: 0.9375 256/288 [=========================>....] - ETA: 0s - loss: 0.0013 - acc: 1.0000 256/288 [=========================>....] - ETA: 0s - loss: 0.1338 - acc: 0.9414DEBUG 11-Jun 08:53:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 288/288 [==============================] - 7s 23ms/step - loss: 0.0011 - acc: 1.0000 Epoch 6/10 288/288 [==============================] - 7s 23ms/step - loss: 0.1668 - acc: 0.9340 Epoch 6/10 INFO 11-Jun 08:53:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.22ms cal_jobs_db INFO 11-Jun 08:53:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.89ms cal_jobs_db 32/288 [==>...........................] - ETA: 5s - loss: 2.0427e-04 - acc: 1.0000 32/288 [==>...........................] - ETA: 5s - loss: 0.0243 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 1.5548e-04 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 0.0267 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 1.4918e-04 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 0.1181 - acc: 0.9583 128/288 [============>.................] - ETA: 3s - loss: 1.3892e-04 - acc: 1.0000 128/288 [============>.................] - ETA: 3s - loss: 0.0937 - acc: 0.9688 160/288 [===============>..............] - ETA: 2s - loss: 1.3254e-04 - acc: 1.0000 160/288 [===============>..............] - ETA: 2s - loss: 0.0918 - acc: 0.9688 192/288 [===================>..........] - ETA: 2s - loss: 1.1969e-04 - acc: 1.0000 192/288 [===================>..........] - ETA: 2s - loss: 0.0949 - acc: 0.9688DEBUG 11-Jun 08:53:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 224/288 [======================>.......] - ETA: 1s - loss: 4.9428e-04 - acc: 1.0000 224/288 [======================>.......] - ETA: 1s - loss: 0.1011 - acc: 0.9643 256/288 [=========================>....] - ETA: 0s - loss: 4.7819e-04 - acc: 1.0000 256/288 [=========================>....] - ETA: 0s - loss: 0.0963 - acc: 0.9688INFO 11-Jun 08:53:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:53:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db 288/288 [==============================] - 7s 23ms/step - loss: 4.4579e-04 - acc: 1.0000 Epoch 7/10 288/288 [==============================] - 7s 23ms/step - loss: 0.1084 - acc: 0.9653 Epoch 7/10 32/288 [==>...........................] - ETA: 5s - loss: 6.0950e-05 - acc: 1.0000 32/288 [==>...........................] - ETA: 5s - loss: 0.0116 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 1.4052e-04 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 0.0203 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 1.2700e-04 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 0.0188 - acc: 1.0000 128/288 [============>.................] - ETA: 3s - loss: 3.3534e-04 - acc: 1.0000DEBUG 11-Jun 08:53:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 128/288 [============>.................] - ETA: 3s - loss: 0.0721 - acc: 0.9922 160/288 [===============>..............] - ETA: 2s - loss: 3.5324e-04 - acc: 1.0000 160/288 [===============>..............] - ETA: 2s - loss: 0.0901 - acc: 0.9875 192/288 [===================>..........] - ETA: 2s - loss: 3.1029e-04 - acc: 1.0000 192/288 [===================>..........] - ETA: 2s - loss: 0.0757 - acc: 0.9896 224/288 [======================>.......] - ETA: 1s - loss: 3.6658e-04 - acc: 1.0000 224/288 [======================>.......] - ETA: 1s - loss: 0.0740 - acc: 0.9866INFO 11-Jun 08:53:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:53:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db 256/288 [=========================>....] - ETA: 0s - loss: 4.1753e-04 - acc: 1.0000 256/288 [=========================>....] - ETA: 0s - loss: 0.0674 - acc: 0.9883 288/288 [==============================] - 7s 23ms/step - loss: 4.2862e-04 - acc: 1.0000 Epoch 8/10 288/288 [==============================] - 7s 23ms/step - loss: 0.0673 - acc: 0.9861 Epoch 8/10 32/288 [==>...........................] - ETA: 5s - loss: 3.7700e-04 - acc: 1.0000 32/288 [==>...........................] - ETA: 5s - loss: 0.0668 - acc: 0.9688 64/288 [=====>........................] - ETA: 5s - loss: 5.8045e-04 - acc: 1.0000DEBUG 11-Jun 08:53:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 64/288 [=====>........................] - ETA: 5s - loss: 0.0511 - acc: 0.9688 96/288 [=========>....................] - ETA: 4s - loss: 5.6406e-04 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 0.0359 - acc: 0.9792 128/288 [============>.................] - ETA: 3s - loss: 4.5269e-04 - acc: 1.0000 128/288 [============>.................] - ETA: 3s - loss: 0.0788 - acc: 0.9688 160/288 [===============>..............] - ETA: 2s - loss: 3.8662e-04 - acc: 1.0000 160/288 [===============>..............] - ETA: 2s - loss: 0.0736 - acc: 0.9688 192/288 [===================>..........] - ETA: 2s - loss: 3.4764e-04 - acc: 1.0000 192/288 [===================>..........] - ETA: 2s - loss: 0.1014 - acc: 0.9583 224/288 [======================>.......] - ETA: 1s - loss: 3.0899e-04 - acc: 1.0000INFO 11-Jun 08:53:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.85ms cal_jobs_db INFO 11-Jun 08:53:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db 224/288 [======================>.......] - ETA: 1s - loss: 0.0914 - acc: 0.9598 256/288 [=========================>....] - ETA: 0s - loss: 2.9768e-04 - acc: 1.0000 256/288 [=========================>....] - ETA: 0s - loss: 0.0803 - acc: 0.9648 288/288 [==============================] - 7s 23ms/step - loss: 2.7388e-04 - acc: 1.0000 Epoch 9/10 DEBUG 11-Jun 08:53:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 288/288 [==============================] - 7s 23ms/step - loss: 0.0800 - acc: 0.9618 Epoch 9/10 32/288 [==>...........................] - ETA: 5s - loss: 4.2387e-05 - acc: 1.0000 32/288 [==>...........................] - ETA: 5s - loss: 0.0034 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 3.5025e-05 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 0.0212 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 3.0547e-05 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 0.0461 - acc: 0.9896 128/288 [============>.................] - ETA: 3s - loss: 4.6528e-05 - acc: 1.0000 128/288 [============>.................] - ETA: 3s - loss: 0.0466 - acc: 0.9844 160/288 [===============>..............] - ETA: 2s - loss: 8.3755e-05 - acc: 1.0000 160/288 [===============>..............] - ETA: 2s - loss: 0.0376 - acc: 0.9875 192/288 [===================>..........] - ETA: 2s - loss: 7.9900e-05 - acc: 1.0000 192/288 [===================>..........] - ETA: 2s - loss: 0.0329 - acc: 0.9896INFO 11-Jun 08:53:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 08:53:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.63ms cal_jobs_db DEBUG 11-Jun 08:53:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json 224/288 [======================>.......] - ETA: 1s - loss: 8.9090e-05 - acc: 1.0000 224/288 [======================>.......] - ETA: 1s - loss: 0.0295 - acc: 0.9911 256/288 [=========================>....] - ETA: 0s - loss: 8.3575e-05 - acc: 1.0000 256/288 [=========================>....] - ETA: 0s - loss: 0.0267 - acc: 0.9922 288/288 [==============================] - 7s 23ms/step - loss: 1.0882e-04 - acc: 1.0000 Epoch 10/10 288/288 [==============================] - 7s 23ms/step - loss: 0.0351 - acc: 0.9896 Epoch 10/10 32/288 [==>...........................] - ETA: 5s - loss: 3.1742e-04 - acc: 1.0000 32/288 [==>...........................] - ETA: 5s - loss: 0.0402 - acc: 0.9688 64/288 [=====>........................] - ETA: 5s - loss: 3.1584e-04 - acc: 1.0000 64/288 [=====>........................] - ETA: 5s - loss: 0.1438 - acc: 0.9531 96/288 [=========>....................] - ETA: 4s - loss: 2.1738e-04 - acc: 1.0000 96/288 [=========>....................] - ETA: 4s - loss: 0.1066 - acc: 0.9583 128/288 [============>.................] - ETA: 3s - loss: 1.6646e-04 - acc: 1.0000 128/288 [============>.................] - ETA: 3s - loss: 0.0877 - acc: 0.9688 160/288 [===============>..............] - ETA: 2s - loss: 1.4082e-04 - acc: 1.0000 160/288 [===============>..............] - ETA: 2s - loss: 0.0703 - acc: 0.9750INFO 11-Jun 08:54:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 08:54:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.61ms cal_jobs_db 192/288 [===================>..........] - ETA: 2s - loss: 1.2525e-04 - acc: 1.0000 192/288 [===================>..........] - ETA: 2s - loss: 0.0986 - acc: 0.9740 224/288 [======================>.......] - ETA: 1s - loss: 1.1092e-04 - acc: 1.0000 224/288 [======================>.......] - ETA: 1s - loss: 0.0846 - acc: 0.9777 256/288 [=========================>....] - ETA: 0s - loss: 1.0747e-04 - acc: 1.0000 256/288 [=========================>....] - ETA: 0s - loss: 0.0811 - acc: 0.9727 288/288 [==============================] - 7s 23ms/step - loss: 1.0842e-04 - acc: 1.0000 Fetch argument cannot be interpreted as a Tensor. (Tensor Tensor("conv2d_1/kernel:0", shape=(3, 1024, 1, 512), dtype=float32_ref) is not an element of this graph.) 288/288 [==============================] - 6s 22ms/step - loss: 0.0741 - acc: 0.9757 DEBUG 11-Jun 08:54:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:54:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:54:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.60ms cal_jobs_db DEBUG 11-Jun 08:54:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:54:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 08:54:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 08:54:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:54:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:54:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.00ms cal_jobs_db DEBUG 11-Jun 08:54:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:54:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:54:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db DEBUG 11-Jun 08:54:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:54:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 08:54:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 08:54:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:54:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 08:54:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 08:54:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:54:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:54:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 08:54:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:54:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:54:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.60ms cal_jobs_db DEBUG 11-Jun 08:54:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:54:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 08:54:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 08:54:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:55:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 08:55:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 08:55:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 08:55:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:55:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 08:55:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:55:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db DEBUG 11-Jun 08:55:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:55:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db DEBUG 11-Jun 08:55:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.95ms cal_jobs_db INFO 11-Jun 08:55:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.71ms cal_jobs_db DEBUG 11-Jun 08:55:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:55:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 08:55:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 08:55:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 08:55:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:55:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 08:55:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:55:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:55:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.68ms cal_jobs_db DEBUG 11-Jun 08:55:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 08:56:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:56:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 08:56:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.72ms cal_jobs_db DEBUG 11-Jun 08:56:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:56:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.65ms cal_jobs_db DEBUG 11-Jun 08:56:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:56:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 08:56:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:56:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 08:56:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:56:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:56:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:56:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:56:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:56:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 08:56:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.93ms cal_jobs_db INFO 11-Jun 08:56:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 08:56:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:56:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:56:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 08:56:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:57:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:57:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 08:57:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 08:57:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:57:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 08:57:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:57:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:57:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 08:57:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 08:57:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:57:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 08:57:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:57:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:57:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:57:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:57:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:57:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:57:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:57:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:57:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:57:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:58:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:58:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:58:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.64ms cal_jobs_db DEBUG 11-Jun 08:58:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 08:58:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:58:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:58:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 08:58:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 08:58:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:58:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 08:58:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:58:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 08:58:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 08:58:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:58:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:58:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:58:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 08:58:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:58:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.76ms cal_jobs_db INFO 11-Jun 08:58:54 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:58:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:59:00 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.63ms cal_jobs_db DEBUG 11-Jun 08:59:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:59:06 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 08:59:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 08:59:12 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 08:59:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:59:18 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:59:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:59:24 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 08:59:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.92ms cal_jobs_db INFO 11-Jun 08:59:30 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.61ms cal_jobs_db DEBUG 11-Jun 08:59:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 08:59:36 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 08:59:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:59:42 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.64ms cal_jobs_db DEBUG 11-Jun 08:59:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 08:59:48 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 08:59:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 08:59:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 08:59:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:00:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:00:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:00:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 09:00:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:00:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:00:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.60ms cal_jobs_db DEBUG 11-Jun 09:00:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:00:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:00:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:00:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:00:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:00:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:00:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:00:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.64ms cal_jobs_db DEBUG 11-Jun 09:00:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:00:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:00:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:00:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.66ms cal_jobs_db DEBUG 11-Jun 09:00:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:00:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:00:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:01:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:01:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:01:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:01:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:01:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:01:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db DEBUG 11-Jun 09:01:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:01:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:01:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:01:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:01:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:01:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:01:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:01:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:01:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:01:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:01:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:01:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:01:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:01:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.86ms cal_jobs_db INFO 11-Jun 09:01:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:02:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:02:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:02:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:02:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:02:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:02:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db DEBUG 11-Jun 09:02:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:02:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db DEBUG 11-Jun 09:02:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:02:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:02:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:02:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.61ms cal_jobs_db DEBUG 11-Jun 09:02:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:02:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:02:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:02:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:02:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:02:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:02:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:02:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:02:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:03:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:03:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:03:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:03:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:03:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.90ms cal_jobs_db INFO 11-Jun 09:03:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:03:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:03:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.62ms cal_jobs_db DEBUG 11-Jun 09:03:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:03:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.68ms cal_jobs_db DEBUG 11-Jun 09:03:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:03:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:03:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:03:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:03:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:03:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:03:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:03:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:03:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:03:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:03:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:04:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:04:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.61ms cal_jobs_db DEBUG 11-Jun 09:04:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:04:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:04:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:04:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.60ms cal_jobs_db DEBUG 11-Jun 09:04:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:04:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:04:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.96ms cal_jobs_db INFO 11-Jun 09:04:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.62ms cal_jobs_db DEBUG 11-Jun 09:04:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:04:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:04:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:04:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:04:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:04:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:04:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:04:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:04:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:04:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:04:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:05:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:05:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:05:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:05:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:05:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:05:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:05:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:05:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:05:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:05:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:05:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:05:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:05:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:05:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:05:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.75ms cal_jobs_db INFO 11-Jun 09:05:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:05:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:05:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db DEBUG 11-Jun 09:05:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:05:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.95ms cal_jobs_db INFO 11-Jun 09:05:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:06:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:06:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:06:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:06:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:06:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:06:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:06:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:06:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:06:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:06:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.60ms cal_jobs_db DEBUG 11-Jun 09:06:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:06:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:06:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.93ms cal_jobs_db INFO 11-Jun 09:06:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:06:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:06:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:06:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:06:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.67ms cal_jobs_db DEBUG 11-Jun 09:06:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:06:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.76ms cal_jobs_db INFO 11-Jun 09:06:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:07:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:07:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:07:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:07:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:07:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:07:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:07:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.87ms cal_jobs_db INFO 11-Jun 09:07:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:07:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:07:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:07:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:07:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:07:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:07:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:07:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:07:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:07:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:07:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:07:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:07:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:07:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:08:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:08:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:08:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.85ms cal_jobs_db INFO 11-Jun 09:08:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db DEBUG 11-Jun 09:08:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:08:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:08:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:08:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:08:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:08:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:08:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:08:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:08:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:08:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.63ms cal_jobs_db DEBUG 11-Jun 09:08:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db INFO 11-Jun 09:08:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:08:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:08:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:08:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:08:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:08:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:09:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:09:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:09:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:09:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.58ms cal_jobs_db DEBUG 11-Jun 09:09:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:09:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:09:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.76ms cal_jobs_db INFO 11-Jun 09:09:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:09:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 09:09:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.26ms cal_jobs_db DEBUG 11-Jun 09:09:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:09:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:09:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:09:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:09:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:09:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:09:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:09:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:09:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:09:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:09:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:10:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:10:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.63ms cal_jobs_db DEBUG 11-Jun 09:10:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:10:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:10:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db INFO 11-Jun 09:10:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:10:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:10:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:10:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.95ms cal_jobs_db INFO 11-Jun 09:10:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:10:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:10:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:10:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:10:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:10:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:10:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:10:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:10:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:10:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:10:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 09:10:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:11:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:11:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.57ms cal_jobs_db DEBUG 11-Jun 09:11:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 09:11:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:11:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:11:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.59ms cal_jobs_db DEBUG 11-Jun 09:11:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.95ms cal_jobs_db INFO 11-Jun 09:11:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.73ms cal_jobs_db DEBUG 11-Jun 09:11:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:11:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:11:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.94ms cal_jobs_db INFO 11-Jun 09:11:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:11:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.87ms cal_jobs_db INFO 11-Jun 09:11:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:11:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:11:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:11:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:11:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:11:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:11:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:11:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:12:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:12:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.54ms cal_jobs_db DEBUG 11-Jun 09:12:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:12:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:12:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:12:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:12:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.74ms cal_jobs_db INFO 11-Jun 09:12:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:12:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:12:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.55ms cal_jobs_db DEBUG 11-Jun 09:12:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.85ms cal_jobs_db INFO 11-Jun 09:12:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.56ms cal_jobs_db DEBUG 11-Jun 09:12:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:12:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db DEBUG 11-Jun 09:12:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:12:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:12:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:12:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:12:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:12:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:12:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db DEBUG 11-Jun 09:13:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:13:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:13:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db INFO 11-Jun 09:13:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:13:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.87ms cal_jobs_db INFO 11-Jun 09:13:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:13:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:13:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db DEBUG 11-Jun 09:13:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:13:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:13:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:13:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:13:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:13:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:13:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:13:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:13:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:13:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:13:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:13:56 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 09:13:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:14:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:14:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.88ms cal_jobs_db DEBUG 11-Jun 09:14:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:14:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:14:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:14:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:14:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:14:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:14:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:14:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:14:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:14:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:14:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:14:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:14:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:14:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:14:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:14:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:14:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:14:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:14:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:15:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:15:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:15:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:15:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.12ms cal_jobs_db DEBUG 11-Jun 09:15:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.95ms cal_jobs_db INFO 11-Jun 09:15:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:15:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:15:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:15:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:15:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:15:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:15:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:15:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:15:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:15:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db INFO 11-Jun 09:15:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:15:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:50 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:15:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:15:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:15:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:15:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:16:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:16:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:16:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:16:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:16:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:16:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:16:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db DEBUG 11-Jun 09:16:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:16:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:16:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:16:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:16:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:16:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:16:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:16:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.19ms cal_jobs_db INFO 11-Jun 09:16:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:16:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:50 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.87ms cal_jobs_db DEBUG 11-Jun 09:16:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:16:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:16:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:16:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:17:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:17:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:17:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:17:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:17:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:17:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:17:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.88ms cal_jobs_db DEBUG 11-Jun 09:17:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:17:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:17:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:17:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:32 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:17:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:17:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:17:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:17:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:17:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:17:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:17:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:17:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:17:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:17:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:18:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:18:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:18:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:18:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.87ms cal_jobs_db DEBUG 11-Jun 09:18:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:18:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:18:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:18:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:18:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:18:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:18:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:18:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:18:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:18:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:18:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:44 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:18:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:18:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:18:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:18:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:18:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:18:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:19:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:19:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.76ms cal_jobs_db DEBUG 11-Jun 09:19:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:19:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:19:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:19:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:19:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:19:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:19:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:19:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:19:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:19:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:19:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:19:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:19:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:19:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:19:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:50 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:19:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:19:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:19:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:19:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:20:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:20:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:20:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:20:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db DEBUG 11-Jun 09:20:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 09:20:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:20:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:20:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:20:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:20:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:20:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:20:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:20:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:20:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.14ms cal_jobs_db DEBUG 11-Jun 09:20:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:20:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:20:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:20:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:20:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:20:56 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:20:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:21:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.04ms cal_jobs_db INFO 11-Jun 09:21:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:21:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:21:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:21:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:21:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:21:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:20 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:21:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:21:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:21:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:21:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:21:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:21:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:21:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:21:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:44 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:21:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.37ms cal_jobs_db DEBUG 11-Jun 09:21:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:50 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:21:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.95ms cal_jobs_db DEBUG 11-Jun 09:21:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:21:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:21:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:22:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:22:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:22:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:22:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:22:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:22:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:22:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:22:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:22:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:22:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:22:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:22:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:22:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:22:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:22:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:44 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:22:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:22:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:22:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:22:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:22:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:22:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:23:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:23:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:23:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.87ms cal_jobs_db INFO 11-Jun 09:23:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:23:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:14 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:23:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:23:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:23:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:23:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:23:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:23:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:23:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:23:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:23:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:23:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json DEBUG 11-Jun 09:23:40 cache 8002 Purging /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:23:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:23:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:23:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:23:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:23:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db INFO 11-Jun 09:23:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:24:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db INFO 11-Jun 09:24:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:24:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:08 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:24:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.93ms cal_jobs_db DEBUG 11-Jun 09:24:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:24:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:24:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:20 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.84ms cal_jobs_db DEBUG 11-Jun 09:24:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:24:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:24:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:24:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:24:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:24:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:24:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:24:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:24:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:24:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:24:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.99ms cal_jobs_db DEBUG 11-Jun 09:24:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:24:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:24:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:25:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:25:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.98ms cal_jobs_db DEBUG 11-Jun 09:25:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 09:25:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:25:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:25:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:25:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:25:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:25:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:25:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:25:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.88ms cal_jobs_db INFO 11-Jun 09:25:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:25:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:25:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:25:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:25:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:46 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.89ms cal_jobs_db INFO 11-Jun 09:25:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:25:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:25:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:25:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:25:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:26:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:26:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:26:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:26:10 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:26:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:26:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:16 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:26:20 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:26:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:22 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:26:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:26:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:26:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:26:34 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:26:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.90ms cal_jobs_db INFO 11-Jun 09:26:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:26:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:26:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:26:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:26:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:26:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:26:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db INFO 11-Jun 09:26:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:27:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:27:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:27:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:27:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:27:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:14 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.96ms cal_jobs_db DEBUG 11-Jun 09:27:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:27:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:27:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:27:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.76ms cal_jobs_db INFO 11-Jun 09:27:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.77ms cal_jobs_db DEBUG 11-Jun 09:27:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:27:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:27:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:27:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:27:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:27:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:27:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:27:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:27:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:27:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:27:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:28:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:28:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:28:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:28:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:28:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:14 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:28:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:28:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:28:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:28:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:28:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.81ms cal_jobs_db DEBUG 11-Jun 09:28:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:28:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:28:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:28:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.94ms cal_jobs_db DEBUG 11-Jun 09:28:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:28:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:28:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:28:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:51 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:28:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:28:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.85ms cal_jobs_db INFO 11-Jun 09:28:58 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:29:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:29:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:29:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:29:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:29:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:29:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 1.41ms cal_jobs_db INFO 11-Jun 09:29:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:29:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:29:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:29:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:29:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db INFO 11-Jun 09:29:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:29:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:37 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:29:39 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.97ms cal_jobs_db DEBUG 11-Jun 09:29:40 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:43 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:29:45 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:45 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db INFO 11-Jun 09:29:49 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:29:50 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:52 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:29:55 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:29:55 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:29:57 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:30:00 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:30:01 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:30:03 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.83ms cal_jobs_db DEBUG 11-Jun 09:30:05 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:30:07 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.86ms cal_jobs_db INFO 11-Jun 09:30:09 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.87ms cal_jobs_db DEBUG 11-Jun 09:30:10 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:30:13 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:30:15 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:30:15 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db INFO 11-Jun 09:30:19 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db DEBUG 11-Jun 09:30:20 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:30:21 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.80ms cal_jobs_db DEBUG 11-Jun 09:30:25 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:30:25 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:30:27 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.82ms cal_jobs_db DEBUG 11-Jun 09:30:30 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 11-Jun 09:30:31 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.79ms cal_jobs_db INFO 11-Jun 09:30:33 __init__ 8002 200 POST /jobs_db (115.110.126.164) 0.78ms cal_jobs_db DEBUG 11-Jun 09:30:35 cache 8002 Flushing /home/gramener/.config/gramexdata/session.json INFO 12-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 12-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s DEBUG 12-Jun 00:00:00 __init__ 8002 Gramex update ran recently. Deferring check. INFO 13-Jun 00:00:00 scheduler 8002 Running gramex_update DEBUG 13-Jun 00:00:00 scheduler 8002 Scheduling gramex_update after 86400s ERROR 13-Jun 00:00:00 __init__ 8002 Gramex 1.56.0 is available. See https://learn.gramener.com/guide/ INFO 13-Jun 18:33:39 __init__ 8002 200 GET / (24.0.168.26) 1.50ms default INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/font-awesome/css/font-awesome.min.css (24.0.168.26) 1.71ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /css/common.css (24.0.168.26) 0.88ms default INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.css (24.0.168.26) 1.05ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/select2/dist/css/select2.min.css (24.0.168.26) 1.14ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (24.0.168.26) 1.07ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /img/gramener.png (24.0.168.26) 0.85ms default INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/jquery/dist/jquery.min.js (24.0.168.26) 4.34ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/popper.js/dist/umd/popper.min.js (24.0.168.26) 1.50ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (24.0.168.26) 2.62ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/g1/dist/g1.min.js (24.0.168.26) 2.25ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/lodash/lodash.min.js (24.0.168.26) 3.81ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (24.0.168.26) 2.16ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/select2/dist/js/select2.min.js (24.0.168.26) 3.33ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/dropzone/dist/min/dropzone.min.js (24.0.168.26) 2.21ms apps/ui/static-6GDzR INFO 13-Jun 18:33:39 __init__ 8002 200 GET /js/main.js (24.0.168.26) 1.13ms default INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/bootstraptheme.css (24.0.168.26) 5.25ms apps/ui/bootstrap4-Z1WHh INFO 13-Jun 18:33:39 __init__ 8002 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (24.0.168.26) 3.39ms apps/ui/static-6GDzR INFO 13-Jun 18:33:40 __init__ 8002 200 GET /get_project (24.0.168.26) 1.78ms cal_write_file INFO 13-Jun 18:33:40 __init__ 8002 200 POST /activity_log (24.0.168.26) 0.93ms cal_activity_log INFO 13-Jun 19:05:54 __init__ 8002 304 GET / (24.0.168.26) 1.09ms default INFO 13-Jun 19:05:54 __init__ 8002 304 GET /ui/bootstraptheme.css (24.0.168.26) 0.90ms apps/ui/bootstrap4-Z1WHh INFO 13-Jun 19:05:54 __init__ 8002 304 GET /css/common.css (24.0.168.26) 0.86ms default INFO 13-Jun 19:05:54 __init__ 8002 304 GET /img/gramener.png (24.0.168.26) 0.86ms default INFO 13-Jun 19:05:54 __init__ 8002 304 GET /js/main.js (24.0.168.26) 0.87ms default INFO 13-Jun 19:05:54 __init__ 8002 304 GET /get_project (24.0.168.26) 1.70ms cal_write_file INFO 13-Jun 19:05:54 __init__ 8002 200 POST /activity_log (24.0.168.26) 0.72ms cal_activity_log INFO 13-Jun 19:09:28 __init__ 8002 304 GET / (24.0.168.26) 1.13ms default INFO 13-Jun 19:09:28 __init__ 8002 304 GET /ui/bootstraptheme.css (24.0.168.26) 1.62ms apps/ui/bootstrap4-Z1WHh INFO 13-Jun 19:09:28 __init__ 8002 304 GET /css/common.css (24.0.168.26) 0.87ms default INFO 13-Jun 19:09:28 __init__ 8002 304 GET /img/gramener.png (24.0.168.26) 0.86ms default INFO 13-Jun 19:09:28 __init__ 8002 304 GET /js/main.js (24.0.168.26) 0.88ms default INFO 13-Jun 19:09:28 __init__ 8002 304 GET /get_project (24.0.168.26) 2.07ms cal_write_file INFO 13-Jun 19:09:28 __init__ 8002 200 POST /activity_log (24.0.168.26) 0.80ms cal_activity_log INFO 29-Apr 09:17:05 __init__ PORT Gramex 1.57.0 | /data/home/gramener/active-learning/active-learning | Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31) [GCC 7.3.0] DEBUG 29-Apr 09:17:05 config PORT Loading config: /data/anaconda/envs/dell-active-learning/lib/python3.6/site-packages/gramex/gramex.yaml DEBUG 29-Apr 09:17:05 config PORT Loading config: /data/home/gramener/active-learning/active-learning/gramex.yaml DEBUG 29-Apr 09:17:05 config PORT Loading config: /data/anaconda/envs/dell-active-learning/lib/python3.6/site-packages/gramex/apps/ui/gramex.yaml DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: version DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: mime DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: threadpool DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: cache DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: handlers DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: log DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: eventlog DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: app DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: schedule INFO 29-Apr 09:17:05 __init__ PORT Initialising schedule:gramex_update DEBUG 29-Apr 09:17:05 scheduler PORT Scheduling gramex_update after 52974s DEBUG 29-Apr 09:17:05 __init__ PORT Loading service: url DEBUG 29-Apr 09:17:05 __init__ PORT url: apps/ui/bootstrap4-XvKAQ (FunctionHandler) DEBUG 29-Apr 09:17:05 __init__ PORT Gramex update ran recently. Deferring check. DEBUG 29-Apr 09:17:05 __init__ PORT url: apps/ui/static-2OSxi (FileHandler) DEBUG 29-Apr 09:17:05 __init__ PORT url: cal_upload (UploadHandler) DEBUG 29-Apr 09:17:05 __init__ PORT url: cal_build_model (FunctionHandler) Using TensorFlow backend. 2022-04-29 09:17:07.510304: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2022-04-29 09:17:07.586828: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: Tesla M60 major: 5 minor: 2 memoryClockRate(GHz): 1.1775 pciBusID: 0001:00:00.0 totalMemory: 7.94GiB freeMemory: 6.48GiB 2022-04-29 09:17:07.586889: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2022-04-29 09:17:07.920686: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2022-04-29 09:17:07.920760: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2022-04-29 09:17:07.920773: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2022-04-29 09:17:07.920986: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6244 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 0001:00:00.0, compute capability: 5.2) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_run_model (FunctionHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_eval_model (FunctionHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_active_learn (FunctionHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_train (FunctionHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_del_pname (FunctionHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_activity_log (FunctionHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_write_file (FormHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_job_result (FunctionHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_jobs_status (FormHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_jobs_db (FunctionHandler) DEBUG 29-Apr 09:17:08 __init__ PORT url: cal_home (Filehandler) ERROR 29-Apr 09:17:08 __init__ PORT url: cal_home: ignoring missing handler Filehandler DEBUG 29-Apr 09:17:08 __init__ PORT url: favicon (FileHandler) -90 DEBUG 29-Apr 09:17:08 __init__ PORT url: default (FileHandler) -100 DEBUG 29-Apr 09:17:08 __init__ PORT Running callback: app INFO 29-Apr 09:17:08 __init__ PORT Listening on port 9020 INFO 29-Apr 09:17:08 __init__ 9020 opens the browser. starts the debugger. INFO 29-Apr 09:19:41 __init__ 9020 200 GET /?p_name=news (163.116.205.114) 3.56ms default /data/anaconda/envs/dell-active-learning/lib/python3.6/site-packages/gramex/cache.py:109: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. return callback(handle, **kwargs) INFO 29-Apr 09:19:42 __init__ 9020 304 GET /ui/bootstraptheme.css (163.116.205.114) 7.90ms apps/ui/bootstrap4-XvKAQ INFO 29-Apr 09:19:42 __init__ 9020 304 GET /css/common.css (163.116.205.114) 1.64ms default INFO 29-Apr 09:19:43 __init__ 9020 304 GET /js/main.js (163.116.205.114) 1.67ms default INFO 29-Apr 09:19:43 __init__ 9020 304 GET /img/gramener.png (163.116.205.114) 1.30ms default INFO 29-Apr 09:19:43 __init__ 9020 304 GET /get_project (163.116.205.114) 10.66ms cal_write_file INFO 29-Apr 09:19:43 __init__ 9020 200 POST /activity_log (163.116.205.114) 1.45ms cal_activity_log INFO 29-Apr 09:19:43 __init__ 9020 200 POST /activity_log (163.116.205.114) 1.09ms cal_activity_log DEBUG 29-Apr 09:19:45 cache 9020 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-Apr 09:19:58 __init__ 9020 200 POST /activity_log (163.116.205.114) 1.46ms cal_activity_log INFO 29-Apr 09:19:58 __init__ 9020 200 POST /activity_log (163.116.205.114) 1.07ms cal_activity_log DEBUG 29-Apr 09:20:00 cache 9020 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-Apr 09:22:26 __init__ 9020 200 GET / (103.41.99.58) 2.03ms default INFO 29-Apr 09:22:26 __init__ 9020 200 GET /ui/bootstraptheme.css (103.41.99.58) 6.68ms apps/ui/bootstrap4-XvKAQ INFO 29-Apr 09:22:26 __init__ 9020 200 GET /ui/font-awesome/css/font-awesome.min.css (103.41.99.58) 2.56ms apps/ui/static-2OSxi INFO 29-Apr 09:22:26 __init__ 9020 200 GET /css/common.css (103.41.99.58) 1.24ms default INFO 29-Apr 09:22:26 __init__ 9020 200 GET /ui/dropzone/dist/min/dropzone.min.css (103.41.99.58) 4.80ms apps/ui/static-2OSxi INFO 29-Apr 09:22:26 __init__ 9020 200 GET /ui/select2/dist/css/select2.min.css (103.41.99.58) 1.54ms apps/ui/static-2OSxi INFO 29-Apr 09:22:26 __init__ 9020 200 GET /ui/bootstrap-select/dist/css/bootstrap-select.min.css (103.41.99.58) 1.48ms apps/ui/static-2OSxi INFO 29-Apr 09:22:27 __init__ 9020 200 GET /ui/jquery/dist/jquery.min.js (103.41.99.58) 5.56ms apps/ui/static-2OSxi INFO 29-Apr 09:22:27 __init__ 9020 200 GET /ui/popper.js/dist/umd/popper.min.js (103.41.99.58) 1.95ms apps/ui/static-2OSxi INFO 29-Apr 09:22:27 __init__ 9020 200 GET /ui/bootstrap/dist/js/bootstrap.min.js (103.41.99.58) 2.98ms apps/ui/static-2OSxi INFO 29-Apr 09:22:27 __init__ 9020 200 GET /ui/g1/dist/g1.min.js (103.41.99.58) 3.52ms apps/ui/static-2OSxi INFO 29-Apr 09:22:27 __init__ 9020 200 GET /ui/lodash/lodash.min.js (103.41.99.58) 4.08ms apps/ui/static-2OSxi INFO 29-Apr 09:22:27 __init__ 9020 200 GET /ui/bootstrap-select/dist/js/bootstrap-select.min.js (103.41.99.58) 2.78ms apps/ui/static-2OSxi INFO 29-Apr 09:22:27 __init__ 9020 200 GET /ui/select2/dist/js/select2.min.js (103.41.99.58) 3.60ms apps/ui/static-2OSxi INFO 29-Apr 09:22:27 __init__ 9020 200 GET /ui/dropzone/dist/min/dropzone.min.js (103.41.99.58) 2.56ms apps/ui/static-2OSxi INFO 29-Apr 09:22:27 __init__ 9020 200 GET /js/main.js (103.41.99.58) 1.56ms default INFO 29-Apr 09:22:27 __init__ 9020 200 GET /img/gramener.png (103.41.99.58) 1.25ms default INFO 29-Apr 09:22:27 __init__ 9020 200 GET /ui/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0 (103.41.99.58) 3.42ms apps/ui/static-2OSxi INFO 29-Apr 09:22:28 __init__ 9020 200 GET /get_project (103.41.99.58) 2.87ms cal_write_file INFO 29-Apr 09:22:28 __init__ 9020 200 POST /activity_log (103.41.99.58) 1.09ms cal_activity_log DEBUG 29-Apr 09:22:30 cache 9020 Flushing /home/gramener/.config/gramexdata/session.json INFO 29-Apr 09:31:28 __init__ 9020 304 GET / (103.41.99.58) 1.72ms default INFO 29-Apr 09:31:28 __init__ 9020 304 GET /ui/bootstraptheme.css (103.41.99.58) 1.39ms apps/ui/bootstrap4-XvKAQ INFO 29-Apr 09:31:28 __init__ 9020 304 GET /css/common.css (103.41.99.58) 1.25ms default INFO 29-Apr 09:31:28 __init__ 9020 304 GET /js/main.js (103.41.99.58) 1.69ms default INFO 29-Apr 09:31:28 __init__ 9020 304 GET /img/gramener.png (103.41.99.58) 1.18ms default INFO 29-Apr 09:31:28 __init__ 9020 304 GET /get_project (103.41.99.58) 2.38ms cal_write_file INFO 29-Apr 09:31:29 __init__ 9020 200 POST /activity_log (103.41.99.58) 1.21ms cal_activity_log DEBUG 29-Apr 09:31:30 cache 9020 Flushing /home/gramener/.config/gramexdata/session.json DEBUG 29-Apr 10:17:05 cache 9020 Purging /home/gramener/.config/gramexdata/session.json DEBUG 29-Apr 11:17:05 cache 9020 Purging /home/gramener/.config/gramexdata/session.json DEBUG 29-Apr 12:17:05 cache 9020 Purging /home/gramener/.config/gramexdata/session.json DEBUG 29-Apr 13:17:05 cache 9020 Purging /home/gramener/.config/gramexdata/session.json DEBUG 29-Apr 14:17:05 cache 9020 Purging /home/gramener/.config/gramexdata/session.json DEBUG 29-Apr 15:17:05 cache 9020 Purging /home/gramener/.config/gramexdata/session.json INFO 29-Apr 15:28:56 __init__ 9020 200 GET / (162.142.125.8) 1.33ms default INFO 29-Apr 15:28:56 __init__ 9020 200 GET / (162.142.125.8) 1.50ms default DEBUG 29-Apr 15:29:00 cache 9020 Flushing 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