==================== Test output for //tensorflow/python/distribute/failure_handling:failure_handler_test (shard 5 of 8): Running tests under Python 3.11.6: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/python_aarch64-unknown-linux-gnu/bin/python3 [ RUN ] PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_checkpoint_strategyoption_OneDevice INFO:tensorflow:Start watcher for local signal. I1212 22:53:05.859536 281473699116064 failure_handling.py:674] Start watcher for local signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I1212 22:53:05.860000 281473699116064 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. Instructions for updating: Track steps using a tf.Variable saved in checkpoint instead. W1212 22:53:05.860324 281473699116064 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. Instructions for updating: Track steps using a tf.Variable saved in checkpoint instead. INFO:tensorflow:Start training at 0 I1212 22:53:05.860552 281473699116064 failure_handler_test.py:197] Start training at 0 WARNING:tensorflow:5 out of the last 5 calls to .distributed_train_step..train_step at 0xffff05010cc0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. W1212 22:53:06.092256 281473699116064 polymorphic_function.py:157] 5 out of the last 5 calls to .distributed_train_step..train_step at 0xffff05010cc0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. WARNING:tensorflow:6 out of the last 6 calls to .distributed_train_step..train_step at 0xffff05010cc0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. W1212 22:53:06.106785 281473699116064 polymorphic_function.py:157] 6 out of the last 6 calls to .distributed_train_step..train_step at 0xffff05010cc0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. INFO:tensorflow:epoch 0 finished I1212 22:53:06.232526 281473699116064 failure_handler_test.py:195] epoch 0 finished INFO:tensorflow:epoch 1 finished I1212 22:53:06.436890 281473699116064 failure_handler_test.py:195] epoch 1 finished INFO:tensorflow:epoch 2 finished I1212 22:53:06.755591 281473699116064 failure_handler_test.py:195] epoch 2 finished INFO:tensorflow:epoch 3 finished I1212 22:53:06.944887 281473699116064 failure_handler_test.py:195] epoch 3 finished INFO:tensorflow:epoch 4 finished I1212 22:53:07.135229 281473699116064 failure_handler_test.py:195] epoch 4 finished INFO:tensorflow:epoch 5 finished I1212 22:53:07.362788 281473699116064 failure_handler_test.py:195] epoch 5 finished INFO:tensorflow:epoch 6 finished I1212 22:53:07.623829 281473699116064 failure_handler_test.py:195] epoch 6 finished INFO:tensorflow:sending sigterm I1212 22:53:07.760958 281470764970464 failure_handler_test.py:467] sending sigterm INFO:tensorflow:Member single_worker has received termination notice. I1212 22:53:07.765860 281473699116064 failure_handling.py:701] Member single_worker has received termination notice. INFO:tensorflow:Termination caught in main thread on preempted worker I1212 22:53:07.766791 281473699116064 failure_handling.py:1159] Termination caught in main thread on preempted worker INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. I1212 22:53:07.779593 281473699116064 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmpvjcdpncd/fh_ckpt I1212 22:53:07.825251 281473699116064 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmpvjcdpncd/fh_ckpt INFO:tensorflow:Continue training for the grace period. I1212 22:53:07.825575 281473699116064 failure_handling.py:1134] Continue training for the grace period. INFO:tensorflow:epoch 7 finished I1212 22:53:07.864040 281473699116064 failure_handler_test.py:195] epoch 7 finished INFO:tensorflow:Training finished. I1212 22:53:07.864581 281473699116064 failure_handler_test.py:245] Training finished. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_checkpoint_strategyoption_OneDevice): 2.11s I1212 22:53:07.865678 281473699116064 test_util.py:2620] time(__main__.PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_checkpoint_strategyoption_OneDevice): 2.11s [ OK ] PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_checkpoint_strategyoption_OneDevice [ RUN ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 24430 I1212 22:53:07.872309 281473699116064 test_util.py:3999] Using local port 24430 INFO:tensorflow:Using local port 24429 I1212 22:53:07.874006 281473699116064 test_util.py:3999] Using local port 24429 INFO:tensorflow:Using local port 24428 I1212 22:53:07.875339 281473699116064 test_util.py:3999] Using local port 24428 INFO:tensorflow:Using local port 24427 I1212 22:53:07.876632 281473699116064 test_util.py:3999] Using local port 24427 INFO:tensorflow:Cluster starting. I1212 22:53:24.821192 281473699116064 failure_handler_test.py:297] Cluster starting. [worker-0]: I1212 22:53:24.874643 281473333031968 multi_process_runner.py:840] Subprocess with PID 896774 (worker, 0) is now being started. [worker-0]: I1212 22:53:24.875251 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24430", "localhost:24429", "localhost:24428", "localhost:24427"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I1212 22:53:24.893377 281473333031968 multi_process_runner.py:840] Subprocess with PID 896788 (worker, 1) is now being started. [worker-1]: I1212 22:53:24.893970 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24430", "localhost:24429", "localhost:24428", "localhost:24427"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I1212 22:53:24.931673 281473333031968 multi_process_runner.py:840] Subprocess with PID 896852 (worker, 2) is now being started. [worker-2]: I1212 22:53:24.932250 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24430", "localhost:24429", "localhost:24428", "localhost:24427"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I1212 22:53:24.943947 281473333031968 multi_process_runner.py:840] Subprocess with PID 897101 (worker, 3) is now being started. [worker-3]: I1212 22:53:24.944503 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24430", "localhost:24429", "localhost:24428", "localhost:24427"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-12-12 22:53:24.970651: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24430 [worker-3]: 2023-12-12 22:53:24.988889: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24427 [worker-0]: 2023-12-12 22:53:24.995575: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 10595338174999757682 [worker-0]: 2023-12-12 22:53:24.995811: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2023-12-12 22:53:25.006954: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 133343919936207156 [worker-3]: 2023-12-12 22:53:25.009261: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-2]: 2023-12-12 22:53:25.018544: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24428 [worker-1]: 2023-12-12 22:53:25.019296: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24429 [worker-0]: 2023-12-12 22:53:25.040655: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 5127852898040168350 [worker-1]: 2023-12-12 22:53:25.049666: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-2]: 2023-12-12 22:53:25.051441: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2023-12-12 22:53:25.051152: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 10736854105882905461 [worker-3]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-3]: I1212 22:53:25.055107 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-2]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I1212 22:53:25.055848 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I1212 22:53:25.054440 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I1212 22:53:25.068101 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I1212 22:53:25.146018 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I1212 22:53:25.146759 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24430', 'localhost:24429', 'localhost:24428', 'localhost:24427']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I1212 22:53:25.147006 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24430', 'localhost:24429', 'localhost:24428', 'localhost:24427']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: I1212 22:53:25.160859 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I1212 22:53:25.161653 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24430', 'localhost:24429', 'localhost:24428', 'localhost:24427']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I1212 22:53:25.161898 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24430', 'localhost:24429', 'localhost:24428', 'localhost:24427']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-1]: I1212 22:53:25.184607 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I1212 22:53:25.235975 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24430', 'localhost:24429', 'localhost:24428', 'localhost:24427']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I1212 22:53:25.236287 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24430', 'localhost:24429', 'localhost:24428', 'localhost:24427']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I1212 22:53:25.217255 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I1212 22:53:25.249363 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24430', 'localhost:24429', 'localhost:24428', 'localhost:24427']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I1212 22:53:25.249672 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24430', 'localhost:24429', 'localhost:24428', 'localhost:24427']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I1212 22:53:25.326190 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: I1212 22:53:25.326649 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I1212 22:53:25.327473 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I1212 22:53:25.327731 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: W1212 22:53:25.328104 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:Start training at 0 [worker-2]: I1212 22:53:25.328295 281473333031968 failure_handler_test.py:197] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I1212 22:53:25.345969 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I1212 22:53:25.346876 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I1212 22:53:25.347128 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: W1212 22:53:25.347499 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: INFO:tensorflow:Start training at 0 [worker-1]: I1212 22:53:25.347688 281473333031968 failure_handler_test.py:197] Start training at 0 [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-3]: I1212 22:53:25.355076 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: I1212 22:53:25.355708 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I1212 22:53:25.356126 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: I1212 22:53:25.355999 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: Instructions for updating: [worker-3]: I1212 22:53:25.356259 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: W1212 22:53:25.356536 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: Instructions for updating: [worker-3]: Instructions for updating: [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: INFO:tensorflow:Start training at 0 [worker-3]: W1212 22:53:25.356621 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: I1212 22:53:25.356732 281473333031968 failure_handler_test.py:197] Start training at 0 [worker-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:Start training at 0 [worker-3]: I1212 22:53:25.356812 281473333031968 failure_handler_test.py:197] Start training at 0 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:27.762345 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:27.778179 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:27.810535 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:27.795394 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.017930 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 INFO:tensorflow:sending sigterm [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 I1212 22:53:28.893953 281473699116064 failure_handler_test.py:302] sending sigterm [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.074537 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.078746 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.137105 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.079830 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.136217 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.137129 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [ FAILED ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.195675 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker): 36.93s I1212 22:53:44.800056 281473699116064 test_util.py:2620] time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker): 36.93s [worker-2]: I1212 22:53:28.136345 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.194576 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [ RUN ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.194505 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.254760 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.254538 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.194744 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.254538 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf5a80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xfffeec584a40> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: W1212 22:53:28.302724 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf5a80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. INFO:tensorflow:Using local port 24426 I1212 22:53:44.804006 281473699116064 test_util.py:3999] Using local port 24426 [worker-3]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf5a80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: W1212 22:53:28.302571 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xfffeec584a40> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.254758 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: W1212 22:53:28.302445 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf5a80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf4540> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: I1212 22:53:28.311640 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.311260 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 INFO:tensorflow:Using local port 24425 I1212 22:53:44.806996 281473699116064 test_util.py:3999] Using local port 24425 [worker-1]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef7940e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: I1212 22:53:28.311230 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: W1212 22:53:28.302722 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf4540> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef7940e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: W1212 22:53:28.360697 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef7940e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef7940e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: W1212 22:53:28.360544 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef7940e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. INFO:tensorflow:Using local port 24424 [worker-3]: W1212 22:53:28.360429 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef7940e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. I1212 22:53:44.809407 281473699116064 test_util.py:3999] Using local port 24424 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.369543 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.311334 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.369309 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.369308 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef7922a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 INFO:tensorflow:Using local port 24423 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 I1212 22:53:44.811831 281473699116064 test_util.py:3999] Using local port 24423 [worker-0]: I1212 22:53:28.425607 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.427382 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.425580 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: W1212 22:53:28.360712 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef7922a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.483310 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.482707 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.369446 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.483963 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.537306 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.537601 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.425750 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.537595 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.591286 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.644867 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.699121 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.755528 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.591232 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.590885 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.809428 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.644855 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.644784 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 0 finished [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.698304 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.855123 281473333031968 failure_handler_test.py:195] epoch 0 finished [worker-3]: I1212 22:53:28.699101 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.755045 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.755536 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.863518 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.809170 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.809263 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:28.917313 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:epoch 0 finished [worker-3]: INFO:tensorflow:epoch 0 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 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CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.863473 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:29.025364 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.863422 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:29.079847 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.917198 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.916502 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:29.133322 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:28.971325 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:28.971528 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:29.025355 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:29.025262 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 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CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:29.079310 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.537764 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.591433 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:29.239159 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:29.133271 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.699253 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:29.239370 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:epoch 0 finished [worker-3]: I1212 22:53:29.291775 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:29.400456 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:28.855349 281473333031968 failure_handler_test.py:195] epoch 0 finished [worker-1]: I1212 22:53:29.292001 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce 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group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:29.658738 281473333031968 failure_handler_test.py:195] epoch 1 finished [worker-2]: I1212 22:53:29.080013 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:29.559810 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:29.506753 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:29.658886 281473333031968 failure_handler_test.py:195] epoch 1 finished [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:29.772686 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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I1212 22:53:29.825516 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:29.400856 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:29.930541 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:29.878032 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:29.454160 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:29.982817 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs 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281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.037860 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, 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INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:29.613037 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:29.772659 281473333031968 cross_device_ops.py:1154] Collective all_reduce 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CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:29.825317 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.197162 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.090528 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:29.667271 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.250374 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:29.877772 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.143525 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:29.719954 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:29.930347 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.303866 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:29.982607 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:29.772907 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.196821 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.356841 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:30.037729 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.409479 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:30.090382 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:29.825690 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 2 finished [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.454995 281473333031968 failure_handler_test.py:195] epoch 2 finished [worker-3]: I1212 22:53:30.143460 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:29.878174 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.463038 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:29.930837 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.515855 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:30.197090 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.250621 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:30.250244 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.568671 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.303869 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 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CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.356842 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.621988 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.038116 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.409551 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:30.356759 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.677131 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:epoch 2 finished [worker-2]: I1212 22:53:30.090721 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.455141 281473333031968 failure_handler_test.py:195] epoch 2 finished [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.143834 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.197382 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.250612 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective 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Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:epoch 2 finished [worker-2]: I1212 22:53:30.455192 281473333031968 failure_handler_test.py:195] epoch 2 finished [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.463383 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.516185 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 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CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.677284 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.729442 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.782191 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.834862 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.887061 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.939774 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:30.409378 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.463098 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.729298 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:30.991706 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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22:53:31.043896 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.568707 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.834127 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:31.095655 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.621902 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:31.147825 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:31.199344 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.886871 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:epoch 3 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:31.243991 281473333031968 failure_handler_test.py:195] epoch 3 finished [worker-0]: I1212 22:53:30.939043 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.676742 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:30.991440 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:31.252409 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.728940 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 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CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.781622 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:31.095388 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:31.358129 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.833776 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:31.147120 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:31.410145 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.886645 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:31.199062 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 3 finished [worker-2]: I1212 22:53:31.461899 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:30.938848 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:31.243802 281473333031968 failure_handler_test.py:195] epoch 3 finished [worker-1]: I1212 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cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:31.565503 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:31.043164 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective 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finished [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:32.026650 281473333031968 failure_handler_test.py:195] epoch 4 finished [worker-2]: I1212 22:53:32.290222 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:31.146963 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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22:53:33.622214 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:33.673806 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:33.724086 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: 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CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:32.396179 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:32.449916 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:32.502731 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:31.306080 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:32.557621 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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= 1 [worker-1]: I1212 22:53:32.664801 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:31.461480 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:32.188152 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:32.719847 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:31.513326 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: 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[worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:epoch 5 finished [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:32.290331 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:31.616783 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:32.819666 281473333031968 failure_handler_test.py:195] epoch 5 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, 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[worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:34.130152 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:33.519195 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:32.985162 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs 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= 1 [worker-0]: I1212 22:53:33.206796 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:33.724065 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:epoch 7 finished [worker-3]: I1212 22:53:32.665723 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:34.374813 281473333031968 failure_handler_test.py:195] epoch 7 finished [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:33.774492 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:33.259626 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Training finished. [worker-3]: I1212 22:53:32.721773 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:33.828034 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:33.313035 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:32.773970 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:34.375873 281473333031968 failure_handler_test.py:245] Training finished. [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 5 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:33.878803 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:32.819432 281473333031968 failure_handler_test.py:195] epoch 5 finished [worker-0]: I1212 22:53:33.367413 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, 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= 1 [worker-3]: I1212 22:53:32.985030 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:34.079850 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:33.570495 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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[worker-0]: I1212 22:53:33.828038 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:34.375722 281473333031968 failure_handler_test.py:245] Training finished. 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cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:34.079620 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 6 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:33.614329 281473333031968 failure_handler_test.py:195] epoch 6 finished [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:34.129910 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, 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22:53:34.029626 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Training finished. [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:34.375586 281473333031968 failure_handler_test.py:245] Training finished. [worker-3]: I1212 22:53:34.079461 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:34.129916 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:45.175132 281473333031968 multi_process_runner.py:840] Subprocess with PID 911061 (worker, 0) is now being started. [worker-3]: I1212 22:53:34.180090 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:34.230417 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:34.280793 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:45.175712 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24426", "localhost:24425", "localhost:24424", "localhost:24423"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-3]: I1212 22:53:34.331103 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 7 finished [worker-3]: I1212 22:53:34.374480 281473333031968 failure_handler_test.py:195] epoch 7 finished [worker-3]: INFO:tensorflow:Training finished. [worker-3]: I1212 22:53:34.375191 281473333031968 failure_handler_test.py:245] Training finished. [worker-1]: I1212 22:53:45.210654 281473333031968 multi_process_runner.py:840] Subprocess with PID 911476 (worker, 1) is now being started. [worker-1]: I1212 22:53:45.211229 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24426", "localhost:24425", "localhost:24424", "localhost:24423"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I1212 22:53:45.227476 281473333031968 multi_process_runner.py:840] Subprocess with PID 911525 (worker, 2) is now being started. [worker-2]: I1212 22:53:45.228053 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24426", "localhost:24425", "localhost:24424", "localhost:24423"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I1212 22:53:45.256509 281473333031968 multi_process_runner.py:840] Subprocess with PID 911675 (worker, 3) is now being started. [worker-3]: I1212 22:53:45.257107 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24426", "localhost:24425", "localhost:24424", "localhost:24423"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-1]: 2023-12-12 22:53:45.275811: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24425 [worker-0]: 2023-12-12 22:53:45.275811: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24426 [worker-2]: 2023-12-12 22:53:45.283075: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24424 [worker-0]: 2023-12-12 22:53:45.289148: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 11870848003195716236 [worker-0]: 2023-12-12 22:53:45.289388: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2023-12-12 22:53:45.290479: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 1623346200566214750 [worker-1]: 2023-12-12 22:53:45.290737: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2023-12-12 22:53:45.298874: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 9473738991888860620 [worker-2]: 2023-12-12 22:53:45.299130: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-3]: 2023-12-12 22:53:45.300328: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24423 [worker-0]: 2023-12-12 22:53:45.305940: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 3794775624095830058 [worker-3]: 2023-12-12 22:53:45.306349: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I1212 22:53:45.308746 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I1212 22:53:45.308707 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I1212 22:53:45.308771 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-3]: I1212 22:53:45.313856 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-2]: I1212 22:53:45.374865 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: I1212 22:53:45.374855 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-0]: INFO:tensorflow:Check health not enabled. [worker-2]: I1212 22:53:45.375584 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: I1212 22:53:45.375586 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I1212 22:53:45.375843 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I1212 22:53:45.375840 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I1212 22:53:45.375253 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I1212 22:53:45.375956 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I1212 22:53:45.376214 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: I1212 22:53:45.374867 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I1212 22:53:45.375603 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I1212 22:53:45.375857 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I1212 22:53:45.487657 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I1212 22:53:45.499543 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I1212 22:53:45.515610 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I1212 22:53:45.535474 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I1212 22:53:45.537240 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I1212 22:53:45.537663 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: Instructions for updating: [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: W1212 22:53:45.538073 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: Instructions for updating: [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: INFO:tensorflow:Start training at 0 [worker-0]: I1212 22:53:45.538271 281473333031968 failure_handler_test.py:197] Start training at 0 [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I1212 22:53:45.542001 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I1212 22:53:45.542418 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: W1212 22:53:45.542827 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-2]: Instructions for updating: [worker-3]: I1212 22:53:45.545486 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:Start training at 0 [worker-3]: I1212 22:53:45.545897 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: I1212 22:53:45.543023 281473333031968 failure_handler_test.py:197] Start training at 0 [worker-3]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W1212 22:53:45.546308 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:Start training at 0 [worker-3]: I1212 22:53:45.546516 281473333031968 failure_handler_test.py:197] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I1212 22:53:45.595736 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I1212 22:53:45.596165 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: W1212 22:53:45.596556 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: INFO:tensorflow:Start training at 0 [worker-1]: I1212 22:53:45.596749 281473333031968 failure_handler_test.py:197] Start training at 0 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:45.750739 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:45.781998 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:45.795408 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:45.916217 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:45.993181 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:45.993552 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:45.996098 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:46.019767 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:46.085130 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:46.084940 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:46.081894 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:46.080251 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:46.312715 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:46.312958 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:46.312934 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:46.315151 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:46.376816 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:46.377051 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:46.378613 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:46.384006 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xfffeef7953a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf9ee0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: W1212 22:53:46.438554 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf9ee0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: W1212 22:53:46.438369 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xfffeef7953a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf5800> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: W1212 22:53:46.438701 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7ddf5800> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: I1212 22:53:46.448715 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xfffeef7953a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:46.448961 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: W1212 22:53:46.438817 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xfffeef7953a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef795c60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: I1212 22:53:46.447458 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef7977e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: W1212 22:53:46.501644 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef795c60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: W1212 22:53:46.501456 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef7977e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef794a40> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:46.448919 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: W1212 22:53:46.501769 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef794a40> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: I1212 22:53:46.510962 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef795b20> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:46.511882 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:46.511677 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: W1212 22:53:46.501889 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef795b20> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:46.572042 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:46.571022 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:46.571354 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:46.511682 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:46.571543 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:46.636609 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:46.636685 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:46.637699 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:46.637519 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:46.712306 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:46.713007 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group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:47.910541 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:47.903858 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:47.919425 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:48.030028 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:48.041304 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:48.064526 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:48.140625 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:48.225543 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:48.235760 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 INFO:tensorflow:sending sigterm I1212 22:53:48.246196 281473699116064 failure_handler_test.py:302] sending sigterm INFO:tensorflow:sigterm sent I1212 22:53:48.246552 281473699116064 failure_handler_test.py:306] sigterm sent [worker-3]: I1212 22:53:48.240151 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:48.228504 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Member 2 has received termination notice. [worker-2]: I1212 22:53:48.251508 281473333031968 failure_handling.py:710] Member 2 has received termination notice. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:48.345238 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:48.336250 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Termination caught in main thread on preempted worker [worker-2]: I1212 22:53:48.370527 281473333031968 failure_handling.py:1159] Termination caught in main thread on preempted worker [worker-2]: INFO:tensorflow:RUN_TO_CHECKPOINT set to 26 [worker-2]: I1212 22:53:48.376389 281473333031968 failure_handling.py:1168] RUN_TO_CHECKPOINT set to 26 [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged [worker-2]: I1212 22:53:48.377321 281447361147360 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 0 received [worker-2]: I1212 22:53:48.380410 281473333031968 failure_handling.py:1177] Sigterm acknowledgement from replica 0 received [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-0]: I1212 22:53:48.381935 281447302492640 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:48.366049 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 1 received [worker-2]: I1212 22:53:48.386512 281473333031968 failure_handling.py:1177] Sigterm acknowledgement from replica 1 received [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged [worker-3]: I1212 22:53:48.386853 281447218475488 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 2 received [worker-1]: I1212 22:53:48.387035 281447218475488 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-2]: I1212 22:53:48.387603 281473333031968 failure_handling.py:1177] Sigterm acknowledgement from replica 2 received [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 3 received [worker-2]: I1212 22:53:48.388180 281473333031968 failure_handling.py:1177] Sigterm acknowledgement from replica 3 received [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:48.398514 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-3]: I1212 22:53:48.467936 281473333031968 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-0]: I1212 22:53:48.471912 281473333031968 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: I1212 22:53:48.472163 281473333031968 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: I1212 22:53:48.476639 281473333031968 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmp6lghz1pf/workertemp_2/fh_ckpt [worker-0]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmp6lghz1pf/fh_ckpt [worker-0]: I1212 22:53:49.208562 281473333031968 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmp6lghz1pf/fh_ckpt [worker-2]: I1212 22:53:49.208557 281473333031968 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmp6lghz1pf/workertemp_2/fh_ckpt [worker-0]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-2]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-0]: I1212 22:53:49.210263 281473333031968 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-2]: I1212 22:53:49.210409 281473333031968 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-3]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmp6lghz1pf/workertemp_3/fh_ckpt [worker-1]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmp6lghz1pf/workertemp_1/fh_ckpt [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-3]: I1212 22:53:49.211454 281473333031968 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmp6lghz1pf/workertemp_3/fh_ckpt [worker-1]: I1212 22:53:49.211795 281473333031968 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2sn1iv8w2/tmp6lghz1pf/workertemp_1/fh_ckpt [worker-0]: I1212 22:53:49.210463 281473333031968 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-3]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-1]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: I1212 22:53:49.212871 281473333031968 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-2]: I1212 22:53:49.210612 281473333031968 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: I1212 22:53:49.213014 281473333031968 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-3]: I1212 22:53:49.213043 281473333031968 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: I1212 22:53:49.213184 281473333031968 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. INFO:tensorflow:restarting workers I1212 22:53:51.249280 281473699116064 failure_handler_test.py:309] restarting workers [worker-0]: I1212 22:53:51.573447 281473333031968 multi_process_runner.py:840] Subprocess with PID 921925 (worker, 0) is now being started. [worker-0]: I1212 22:53:51.573879 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24426", "localhost:24425", "localhost:24424", "localhost:24423"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' INFO:tensorflow:workers restarted I1212 22:53:51.604380 281473699116064 failure_handler_test.py:313] workers restarted [worker-1]: I1212 22:53:51.666222 281473333031968 multi_process_runner.py:840] Subprocess with PID 921932 (worker, 1) is now being started. [worker-1]: I1212 22:53:51.666679 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24426", "localhost:24425", "localhost:24424", "localhost:24423"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I1212 22:53:51.691831 281473333031968 multi_process_runner.py:840] Subprocess with PID 921942 (worker, 2) is now being started. [worker-3]: I1212 22:53:51.692038 281473333031968 multi_process_runner.py:840] Subprocess with PID 921983 (worker, 3) is now being started. [worker-2]: I1212 22:53:51.692325 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24426", "localhost:24425", "localhost:24424", "localhost:24423"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I1212 22:53:51.692534 281473333031968 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24426", "localhost:24425", "localhost:24424", "localhost:24423"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-1]: 2023-12-12 22:53:51.702530: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24425 [worker-0]: 2023-12-12 22:53:51.726099: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24426 [worker-0]: 2023-12-12 22:53:51.731874: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 9028042512591026094 [worker-0]: 2023-12-12 22:53:51.732083: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-2]: 2023-12-12 22:53:51.742206: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24424 [worker-3]: 2023-12-12 22:53:51.743328: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24423 [worker-0]: 2023-12-12 22:53:51.748461: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 12073777251621809922 [worker-1]: 2023-12-12 22:53:51.748719: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2023-12-12 22:53:51.758382: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 5135809894568923806 [worker-2]: 2023-12-12 22:53:51.758732: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2023-12-12 22:53:51.765301: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:553] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 16625607823183482723 [worker-3]: 2023-12-12 22:53:51.765831: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I1212 22:53:51.767651 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I1212 22:53:51.767772 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I1212 22:53:51.767858 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-3]: I1212 22:53:51.768177 281473333031968 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I1212 22:53:51.820816 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I1212 22:53:51.821367 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I1212 22:53:51.821609 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: I1212 22:53:51.820817 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I1212 22:53:51.821402 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I1212 22:53:51.821647 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-2]: I1212 22:53:51.833413 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-3]: I1212 22:53:51.833485 281473333031968 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-3]: INFO:tensorflow:Check health not enabled. [worker-2]: I1212 22:53:51.833977 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: I1212 22:53:51.834104 281473333031968 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I1212 22:53:51.834217 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I1212 22:53:51.834357 281473333031968 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24426', 'localhost:24425', 'localhost:24424', 'localhost:24423']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I1212 22:53:51.896099 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: I1212 22:53:51.896164 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I1212 22:53:51.896411 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I1212 22:53:51.896179 281473333031968 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I1212 22:53:51.897093 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I1212 22:53:51.896974 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-3]: I1212 22:53:51.897395 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I1212 22:53:51.897790 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: I1212 22:53:51.897338 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: I1212 22:53:51.897394 281473333031968 failure_handling.py:674] Start watcher for local signal. [worker-2]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: I1212 22:53:51.897272 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Instructions for updating: [worker-3]: Instructions for updating: [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: I1212 22:53:51.897662 281473333031968 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Instructions for updating: [worker-3]: W1212 22:53:51.898165 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: W1212 22:53:51.897699 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: Instructions for updating: [worker-1]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Instructions for updating: [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: W1212 22:53:51.897607 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:Start training at 26 [worker-0]: Instructions for updating: [worker-3]: INFO:tensorflow:Start training at 26 [worker-2]: I1212 22:53:51.897888 281473333031968 failure_handler_test.py:197] Start training at 26 [worker-1]: W1212 22:53:51.898430 281473333031968 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: I1212 22:53:51.898383 281473333031968 failure_handler_test.py:197] Start training at 26 [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:training restarted [worker-1]: Instructions for updating: [worker-3]: INFO:tensorflow:training restarted [worker-0]: INFO:tensorflow:Start training at 26 [worker-2]: I1212 22:53:51.904742 281473333031968 failure_handler_test.py:207] training restarted [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: I1212 22:53:51.897816 281473333031968 failure_handler_test.py:197] Start training at 26 [worker-3]: I1212 22:53:51.906925 281473333031968 failure_handler_test.py:207] training restarted [worker-1]: INFO:tensorflow:Start training at 26 [worker-0]: INFO:tensorflow:training restarted [worker-1]: I1212 22:53:51.898619 281473333031968 failure_handler_test.py:197] Start training at 26 [worker-0]: I1212 22:53:51.905724 281473333031968 failure_handler_test.py:207] training restarted [worker-1]: INFO:tensorflow:training restarted [worker-1]: I1212 22:53:51.908048 281473333031968 failure_handler_test.py:207] training restarted [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:52.068445 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:52.088133 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:52.091041 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:52.166471 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:52.242634 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:52.243573 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:52.247804 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:52.248295 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:52.458957 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:52.447730 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:52.488985 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:52.507444 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:52.567985 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:52.568120 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:52.569453 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:52.569594 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 1 finished [worker-0]: INFO:tensorflow:epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-3]: I1212 22:53:52.623434 281473333031968 failure_handler_test.py:195] epoch 1 finished [worker-0]: I1212 22:53:52.623551 281473333031968 failure_handler_test.py:195] epoch 1 finished [worker-1]: I1212 22:53:52.623745 281473333031968 failure_handler_test.py:195] epoch 1 finished [worker-2]: I1212 22:53:52.623883 281473333031968 failure_handler_test.py:195] epoch 1 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:52.633376 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:52.633680 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:52.634529 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:52.634625 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff7ddfd300> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xfffeef794040> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xfffeef763a60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff7ddfd300> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: W1212 22:53:52.685545 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7ddfd300> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: W1212 22:53:52.685694 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xfffeef794040> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: W1212 22:53:52.685898 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xfffeef763a60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: W1212 22:53:52.686043 281473333031968 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7ddfd300> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:52.694571 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:52.694752 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:52.695328 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:52.696716 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef794400> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef7942c0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef7942c0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffeef795a80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: W1212 22:53:52.748620 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef794400> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: W1212 22:53:52.748766 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef7942c0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: W1212 22:53:52.748940 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef7942c0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: W1212 22:53:52.749053 281473333031968 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeef795a80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:52.757694 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:52.757843 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:52.758421 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:52.759029 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:52.819962 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:52.820139 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:52.820389 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:52.820726 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:52.911162 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:52.939141 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:52.959765 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:52.959583 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:53.019349 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:53.020258 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:53.020347 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:53.020362 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:53.080722 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:53.081637 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:53.081857 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:53.081939 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:53.142821 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:53.143567 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:53.143656 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:53.143817 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:53.204703 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:53.205794 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:53.206341 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:53.206875 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:53.267113 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:53.267544 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:53.267806 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:53.268317 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:53.328390 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:53.328654 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:53.328706 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:53.328757 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:53.390225 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:53.391388 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:53.391456 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:53.391510 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:53.452630 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:53.453616 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:53.453616 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= 1 [worker-0]: I1212 22:53:53.926102 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:53.926204 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:53.987457 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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[worker-1]: INFO:tensorflow:epoch 3 finished [worker-3]: I1212 22:53:54.646147 281473333031968 failure_handler_test.py:195] epoch 3 finished [worker-0]: I1212 22:53:54.646339 281473333031968 failure_handler_test.py:195] epoch 3 finished [worker-2]: I1212 22:53:54.646485 281473333031968 failure_handler_test.py:195] epoch 3 finished [worker-1]: I1212 22:53:54.646474 281473333031968 failure_handler_test.py:195] epoch 3 finished [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:54.656104 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 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CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:55.015837 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:55.015891 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:55.074077 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:55.074168 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:55.074391 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:55.074416 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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[worker-3]: I1212 22:53:55.193002 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:55.252874 281473333031968 cross_device_ops.py:1154] Collective 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= 1 [worker-0]: I1212 22:53:57.672976 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:57.673426 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:57.673882 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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[worker-3]: I1212 22:53:57.788381 281473333031968 failure_handler_test.py:195] epoch 6 finished [worker-0]: I1212 22:53:57.788497 281473333031968 failure_handler_test.py:195] epoch 6 finished [worker-1]: I1212 22:53:57.788648 281473333031968 failure_handler_test.py:195] epoch 6 finished [worker-2]: I1212 22:53:57.788702 281473333031968 failure_handler_test.py:195] epoch 6 finished [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:57.798722 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce 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22:53:58.349207 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:58.349307 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:58.349478 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:58.350125 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:58.411962 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:58.411968 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:58.412030 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:58.412531 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:58.471987 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:58.472081 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:58.472369 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:58.472596 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:58.531338 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:58.531598 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:58.531515 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:58.532029 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:58.590808 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:58.590805 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:58.596561 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:58.596606 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:58.655755 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:58.655878 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:58.656306 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:58.656235 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:58.717274 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:58.717719 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:58.717872 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:58.717991 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I1212 22:53:58.777379 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I1212 22:53:58.777369 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I1212 22:53:58.777869 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I1212 22:53:58.777966 281473333031968 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 7 finished [worker-1]: INFO:tensorflow:epoch 7 finished [worker-0]: INFO:tensorflow:epoch 7 finished [worker-2]: INFO:tensorflow:epoch 7 finished [worker-3]: I1212 22:53:58.828198 281473333031968 failure_handler_test.py:195] epoch 7 finished [worker-0]: I1212 22:53:58.828399 281473333031968 failure_handler_test.py:195] epoch 7 finished [worker-1]: I1212 22:53:58.828434 281473333031968 failure_handler_test.py:195] epoch 7 finished [worker-2]: I1212 22:53:58.828549 281473333031968 failure_handler_test.py:195] epoch 7 finished [worker-3]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-3]: I1212 22:53:58.829850 281473333031968 failure_handler_test.py:245] Training finished. [worker-2]: I1212 22:53:58.830421 281473333031968 failure_handler_test.py:245] Training finished. [worker-1]: I1212 22:53:58.830292 281473333031968 failure_handler_test.py:245] Training finished. [worker-0]: I1212 22:53:58.830600 281473333031968 failure_handler_test.py:245] Training finished. I1212 22:53:59.555644 281473699116064 multi_process_runner.py:646] worker-0 exit code: 0 I1212 22:53:59.555903 281473699116064 multi_process_runner.py:646] worker-1 exit code: 0 I1212 22:53:59.556056 281473699116064 multi_process_runner.py:646] worker-2 exit code: 0 I1212 22:53:59.556196 281473699116064 multi_process_runner.py:646] worker-3 exit code: 0 I1212 22:53:59.558452 281473699116064 multi_process_runner.py:662] Joining log reading threads. I1212 22:53:59.558706 281473699116064 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker): 14.98s I1212 22:53:59.783473 281473699116064 test_util.py:2620] time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker): 14.98s [ OK ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker ====================================================================== ERROR: test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker (__main__.PreemptionCheckpointTest) PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker(api_wrapping_train=False, input_arg='checkpoint', strategy_option='MWMS_multi_worker') ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated execute_test_method() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method test_method(**kwargs_to_pass) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 559, in decorator test_method(self, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 304, in test_preemption_checkpointing os.kill(mpr.get_process_id('worker', killed_worker), signal.SIGTERM) ProcessLookupError: [Errno 3] No such process ---------------------------------------------------------------------- Ran 3 tests in 54.028s FAILED (errors=1) ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 31.3s //tensorflow/c:c_api_function_test PASSED in 29.2s //tensorflow/c:c_api_test_cpu PASSED in 39.9s //tensorflow/c:c_test PASSED in 31.1s //tensorflow/c:env_test_cpu PASSED in 31.0s //tensorflow/c:kernels_test_cpu PASSED in 38.1s //tensorflow/c:ops_test PASSED in 26.3s //tensorflow/c:tf_status_helper_test PASSED in 0.1s //tensorflow/c:while_loop_test PASSED in 42.1s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 40.9s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 39.1s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 40.8s //tensorflow/c/eager:c_api_test_cpu PASSED in 56.6s //tensorflow/c/eager:custom_device_test PASSED in 38.1s //tensorflow/c/eager:dlpack_test_cpu PASSED in 35.0s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 34.5s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 42.6s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 34.8s //tensorflow/c/experimental/filesystem/plugins/gcs:expiring_lru_cache_test PASSED in 0.5s //tensorflow/c/experimental/filesystem/plugins/gcs:ram_file_block_cache_test PASSED in 2.5s //tensorflow/c/experimental/grappler:grappler_test PASSED in 33.3s //tensorflow/c/experimental/next_pluggable_device:tensor_pjrt_buffer_util_test PASSED in 7.8s //tensorflow/c/experimental/ops/gen/common:case_format_test PASSED in 0.7s //tensorflow/c/experimental/ops/gen/cpp:cpp_generator_test PASSED in 0.7s //tensorflow/c/experimental/ops/gen/cpp/renderers:renderer_test PASSED in 0.6s //tensorflow/c/experimental/saved_model/core:constant_loading_test PASSED in 25.1s //tensorflow/c/experimental/saved_model/core:object_graph_traversal_test PASSED in 14.8s //tensorflow/c/experimental/saved_model/core:saved_variable_loading_test PASSED in 19.4s //tensorflow/c/experimental/saved_model/core:signature_flattening_test PASSED in 13.0s //tensorflow/c/experimental/saved_model/core:tf_concrete_function_loading_test PASSED in 16.7s //tensorflow/c/experimental/saved_model/core/ops:restore_ops_test PASSED in 19.4s //tensorflow/c/experimental/saved_model/core/ops:variable_ops_test PASSED in 20.5s //tensorflow/c/experimental/saved_model/internal:saved_model_api_test PASSED in 39.6s //tensorflow/c/experimental/stream_executor:stream_executor_test PASSED in 0.1s //tensorflow/c/kernels:bitcast_op_test PASSED in 0.7s //tensorflow/c/kernels:summary_op_benchmark_test PASSED in 0.5s //tensorflow/c/kernels:summary_op_test PASSED in 1.2s //tensorflow/c/kernels:tensor_shape_utils_test PASSED in 0.2s //tensorflow/cc:cc_op_gen_test PASSED in 0.3s //tensorflow/cc:client_client_session_test PASSED in 3.2s //tensorflow/cc:coordinator_test PASSED in 3.9s //tensorflow/cc:framework_cc_ops_test PASSED in 3.0s //tensorflow/cc:framework_gradient_checker_test PASSED in 2.3s //tensorflow/cc:framework_gradients_test PASSED in 4.0s //tensorflow/cc:framework_scope_test PASSED in 1.9s //tensorflow/cc:framework_while_gradients_test PASSED in 3.1s //tensorflow/cc:gradients_array_grad_test PASSED in 6.1s //tensorflow/cc:gradients_data_flow_grad_test PASSED in 1.9s //tensorflow/cc:gradients_functional_grad_test PASSED in 2.5s //tensorflow/cc:gradients_image_grad_test PASSED in 7.2s //tensorflow/cc:gradients_linalg_grad_test PASSED in 2.8s //tensorflow/cc:gradients_manip_grad_test PASSED in 2.9s //tensorflow/cc:gradients_math_grad_test PASSED in 6.2s //tensorflow/cc:gradients_nn_grad_test PASSED in 4.1s //tensorflow/cc:gradients_resource_variable_grad_test PASSED in 2.0s //tensorflow/cc:ops_const_op_test PASSED in 0.7s //tensorflow/cc:ops_while_loop_test PASSED in 2.3s //tensorflow/cc:queue_runner_test PASSED in 13.3s //tensorflow/cc/experimental/base/tests:tensor_test PASSED in 0.3s //tensorflow/cc/experimental/base/tests:tensorhandle_test PASSED in 37.7s //tensorflow/cc/experimental/libexport:load_test PASSED in 0.1s //tensorflow/cc/experimental/libexport:save_test PASSED in 0.3s //tensorflow/cc/experimental/libtf:libtf_module_test PASSED in 34.0s //tensorflow/cc/experimental/libtf:libtf_object_test PASSED in 0.3s //tensorflow/cc/experimental/libtf:libtf_perf_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_runtime_test PASSED in 39.0s //tensorflow/cc/experimental/libtf:libtf_transform_test PASSED in 31.6s //tensorflow/cc/experimental/libtf:libtf_value_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_visit_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:iostream_test PASSED in 0.2s //tensorflow/cc/experimental/libtf/impl:none_test PASSED in 0.9s 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0.9s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline-filtered.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline.mlir.test PASSED in 8.2s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-stateful.mlir.test PASSED in 1.5s //tensorflow/compiler/mlir/tosa/tests:verify_fully_converted.mlir.test PASSED in 1.4s //tensorflow/compiler/tests:adadelta_test_cpu PASSED in 28.4s //tensorflow/compiler/tests:adagrad_da_test_cpu PASSED in 13.6s //tensorflow/compiler/tests:adagrad_test_cpu PASSED in 11.8s //tensorflow/compiler/tests:adam_test_cpu PASSED in 20.7s //tensorflow/compiler/tests:add_n_test_cpu PASSED in 10.7s //tensorflow/compiler/tests:argminmax_test_cpu PASSED in 16.1s //tensorflow/compiler/tests:argminmax_test_cpu_mlir_bridge_test PASSED in 22.0s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 9.5s //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 11.6s //tensorflow/compiler/tests:bucketize_op_test_cpu PASSED in 11.1s 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//tensorflow/compiler/tests:const_test_cpu PASSED in 9.8s //tensorflow/compiler/tests:data_format_ops_test_cpu PASSED in 13.9s //tensorflow/compiler/tests:data_format_ops_test_cpu_mlir_bridge_test PASSED in 16.7s //tensorflow/compiler/tests:dense_layer_test_cpu PASSED in 35.2s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu PASSED in 36.4s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu_mlir_bridge_test PASSED in 16.2s //tensorflow/compiler/tests:dynamic_stitch_test_cpu PASSED in 15.7s //tensorflow/compiler/tests:dynamic_stitch_test_cpu_mlir_bridge_test PASSED in 11.9s //tensorflow/compiler/tests:eager_test_cpu PASSED in 23.9s //tensorflow/compiler/tests:einsum_op_test_cpu PASSED in 9.7s //tensorflow/compiler/tests:einsum_op_test_cpu_mlir_bridge_test PASSED in 11.7s //tensorflow/compiler/tests:ensure_shape_op_test_cpu PASSED in 12.2s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu PASSED in 13.2s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu_mlir_bridge_test PASSED in 11.9s //tensorflow/compiler/tests:fake_quant_ops_test_cpu PASSED in 15.4s //tensorflow/compiler/tests:fake_quant_ops_test_cpu_mlir_bridge_test PASSED in 18.8s //tensorflow/compiler/tests:fifo_queue_test_cpu PASSED in 12.3s //tensorflow/compiler/tests:fifo_queue_test_cpu_mlir_bridge_test PASSED in 12.7s //tensorflow/compiler/tests:ftrl_ops_test_cpu PASSED in 13.8s //tensorflow/compiler/tests:ftrl_ops_test_cpu_mlir_bridge_test PASSED in 15.0s //tensorflow/compiler/tests:function_test_cpu PASSED in 16.3s //tensorflow/compiler/tests:function_test_cpu_mlir_bridge_test PASSED in 10.9s //tensorflow/compiler/tests:gather_nd_op_test_cpu PASSED in 11.2s //tensorflow/compiler/tests:gather_nd_op_test_cpu_mlir_bridge_test PASSED in 33.4s //tensorflow/compiler/tests:gather_test_cpu PASSED in 40.4s //tensorflow/compiler/tests:gather_test_cpu_mlir_bridge_test PASSED in 47.1s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 15.9s //tensorflow/compiler/tests:jit_test_cpu PASSED in 47.8s //tensorflow/compiler/tests:listdiff_op_test_cpu PASSED in 38.0s //tensorflow/compiler/tests:listdiff_op_test_cpu_mlir_bridge_test PASSED in 17.2s //tensorflow/compiler/tests:lrn_ops_test_cpu PASSED in 11.1s //tensorflow/compiler/tests:lrn_ops_test_cpu_mlir_bridge_test PASSED in 14.0s //tensorflow/compiler/tests:lstm_test_cpu PASSED in 30.6s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 16.7s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 15.5s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 19.6s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 21.8s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 11.9s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 12.8s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 13.3s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 14.3s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 20.1s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 11.3s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 12.1s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 10.5s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 24.1s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 12.0s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 14.1s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 13.4s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 13.0s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 11.3s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 21.7s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 13.5s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 13.3s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 14.5s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 13.2s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 14.7s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 13.1s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 17.4s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 15.3s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 23.1s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 35.3s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 19.7s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 13.7s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 25.2s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 43.6s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 18.9s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 20.5s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 22.0s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 25.6s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 23.7s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 11.0s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 12.9s //tensorflow/compiler/tests:tensor_float_32_test_cpu PASSED in 14.0s //tensorflow/compiler/tests:tensor_float_32_test_cpu_mlir_bridge_test PASSED in 41.6s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 14.2s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 17.4s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 19.2s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 32.8s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 18.2s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 13.3s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 29.3s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 18.7s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 11.9s //tensorflow/compiler/tests:while_test_cpu PASSED in 22.2s //tensorflow/compiler/tests:xla_call_module_no_platform_check_test_cpu PASSED in 12.1s //tensorflow/compiler/tests:xla_call_module_no_shape_assertions_check_test_cpu PASSED in 14.2s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 40.3s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 10.6s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 14.7s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 19.5s //tensorflow/compiler/tests:xla_dump_to_test_cpu PASSED in 15.1s //tensorflow/compiler/tests:xla_dump_to_test_cpu_mlir_bridge_test PASSED in 10.8s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 28.8s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 69.4s //tensorflow/compiler/tests:xla_test_test PASSED in 12.3s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 7.1s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.1s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 2.0s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 1.6s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 28.1s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 6.5s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.6s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 5.4s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 2.8s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.9s //tensorflow/compiler/tf2xla:tf2xla_opset_test PASSED in 12.1s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 21.7s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 1.0s //tensorflow/compiler/tf2xla:type_util_test PASSED in 0.5s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 23.8s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 33.2s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 6.4s //tensorflow/compiler/tf2xla/kernels:rng_converter_utils_test PASSED in 1.3s //tensorflow/core:@local_tsl__tsl_lib_core_legacy_lib_core_all_tests PASSED in 2.1s //tensorflow/core:__tensorflow_core_lib_core_legacy_lib_core_all_tests PASSED in 7.8s //tensorflow/core:__tensorflow_core_lib_gtl_legacy_lib_gtl_tests PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_monitoring_cell_reader_test PASSED in 44.0s //tensorflow/core:__tensorflow_core_lib_monitoring_collection_registry_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_monitoring_counter_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_gauge_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_monitoring_metric_def_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_percentile_sampler_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_monitoring_sampler_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_monitoring_test_utils_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_strings_legacy_low_level_library_tests PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_wav_wav_io_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_util_mkl_util_test_srcs PASSED in 0.1s //tensorflow/core:lib_strings_ordered_code_test PASSED in 1.5s //tensorflow/core:lib_strings_proto_serialization_test PASSED in 0.1s //tensorflow/core/api_def:api_test PASSED in 3.3s //tensorflow/core/api_def:update_api_def_test PASSED in 0.1s //tensorflow/core/common_runtime:all_to_all_test_cpu PASSED in 0.6s //tensorflow/core/common_runtime:arg_ret_placement_test PASSED in 0.5s //tensorflow/core/common_runtime:buf_rendezvous_test PASSED in 1.0s //tensorflow/core/common_runtime:collective_executor_mgr_test PASSED in 0.9s //tensorflow/core/common_runtime:collective_param_resolver_local_test PASSED in 5.0s //tensorflow/core/common_runtime:collective_rma_local_test PASSED in 1.1s //tensorflow/core/common_runtime:composite_device_test PASSED in 0.4s //tensorflow/core/common_runtime:cost_measurement_registry_test PASSED in 2.4s //tensorflow/core/common_runtime:cost_util_test PASSED in 0.1s //tensorflow/core/common_runtime:device_mgr_test PASSED in 6.0s //tensorflow/core/common_runtime:device_propagation_test PASSED in 0.5s //tensorflow/core/common_runtime:device_resolver_local_test PASSED in 0.9s //tensorflow/core/common_runtime:device_set_test PASSED in 1.3s //tensorflow/core/common_runtime:direct_session_test_cpu PASSED in 2.4s //tensorflow/core/common_runtime:direct_session_with_debug_test PASSED in 3.0s //tensorflow/core/common_runtime:direct_session_with_tracking_alloc_test PASSED in 0.9s //tensorflow/core/common_runtime:dynamic_device_mgr_test PASSED in 0.9s //tensorflow/core/common_runtime:eval_const_tensor_test PASSED in 0.6s //tensorflow/core/common_runtime:executor_test PASSED in 1.7s //tensorflow/core/common_runtime:function_optimization_registration_test PASSED in 0.9s //tensorflow/core/common_runtime:function_optimization_registry_no_pass_test PASSED in 0.9s //tensorflow/core/common_runtime:function_optimization_registry_pass_failure_test PASSED in 0.9s //tensorflow/core/common_runtime:function_optimization_registry_test PASSED in 0.9s //tensorflow/core/common_runtime:function_threadpool_test PASSED in 1.0s //tensorflow/core/common_runtime:graph_constructor_test PASSED in 2.1s //tensorflow/core/common_runtime:graph_runner_test PASSED in 1.4s //tensorflow/core/common_runtime:hierarchical_tree_broadcaster_test_cpu PASSED in 3.0s //tensorflow/core/common_runtime:inline_function_utils_test PASSED in 0.5s //tensorflow/core/common_runtime:input_colocation_exemption_registry_test PASSED in 0.6s //tensorflow/core/common_runtime:int32_fulltype_test PASSED in 0.6s //tensorflow/core/common_runtime:isolate_placer_inspection_required_ops_pass_test PASSED in 0.9s //tensorflow/core/common_runtime:lower_case_op_test PASSED in 2.7s //tensorflow/core/common_runtime:lower_function_call_test PASSED in 2.3s //tensorflow/core/common_runtime:lower_functional_ops_test PASSED in 1.9s //tensorflow/core/common_runtime:lower_if_op_test PASSED in 23.7s //tensorflow/core/common_runtime:lower_while_op_test PASSED in 2.5s //tensorflow/core/common_runtime:mkl_cpu_allocator_test PASSED in 0.1s //tensorflow/core/common_runtime:mkl_threadpool_device_test PASSED in 0.1s //tensorflow/core/common_runtime:no_op_cost_measurement_test PASSED in 0.1s //tensorflow/core/common_runtime:null_request_cost_accessor_test PASSED in 0.2s //tensorflow/core/common_runtime:optimization_registry_test PASSED in 0.9s //tensorflow/core/common_runtime:optimize_cross_host_control_deps_test PASSED in 9.3s //tensorflow/core/common_runtime:optimize_function_graph_utils_test PASSED in 0.6s //tensorflow/core/common_runtime:partitioning_utils_test PASSED in 0.6s //tensorflow/core/common_runtime:pending_counts_test PASSED in 1.0s //tensorflow/core/common_runtime:permuter_test_cpu PASSED in 4.4s //tensorflow/core/common_runtime:placer_inspection_required_ops_utils_test PASSED in 0.8s //tensorflow/core/common_runtime:placer_test PASSED in 1.2s //tensorflow/core/common_runtime:process_function_library_runtime_test_cpu PASSED in 1.1s //tensorflow/core/common_runtime:process_util_test PASSED in 0.2s //tensorflow/core/common_runtime:quantize_training_test PASSED in 1.7s //tensorflow/core/common_runtime:rendezvous_util_test PASSED in 0.3s //tensorflow/core/common_runtime:replicate_constants_pass_test PASSED in 13.3s //tensorflow/core/common_runtime:replicate_per_replica_nodes_test PASSED in 0.5s //tensorflow/core/common_runtime:request_cost_accessor_registry_test PASSED in 2.5s //tensorflow/core/common_runtime:request_cost_test PASSED in 0.5s //tensorflow/core/common_runtime:ring_gatherer_test_cpu PASSED in 2.1s //tensorflow/core/common_runtime:ring_reducer_test_cpu PASSED in 8.0s //tensorflow/core/common_runtime:scoped_allocator_mgr_test PASSED in 4.9s //tensorflow/core/common_runtime:session_test PASSED in 0.7s //tensorflow/core/common_runtime:shape_refiner_test PASSED in 0.8s //tensorflow/core/common_runtime:single_threaded_executor_test PASSED in 0.8s //tensorflow/core/common_runtime:threadpool_device_test PASSED in 1.0s //tensorflow/core/common_runtime:type_inference_test PASSED in 2.1s //tensorflow/core/common_runtime/eager:attr_builder_test PASSED in 31.7s //tensorflow/core/common_runtime/eager:context_test PASSED in 14.9s //tensorflow/core/common_runtime/eager:custom_device_test PASSED in 15.5s //tensorflow/core/common_runtime/eager:eager_executor_test PASSED in 12.9s //tensorflow/core/common_runtime/eager:eager_op_rewrite_registry_test PASSED in 1.3s //tensorflow/core/common_runtime/eager:eager_operation_test PASSED in 14.0s //tensorflow/core/common_runtime/eager:execute_node_test PASSED in 13.6s //tensorflow/core/common_runtime/eager:execute_test PASSED in 29.9s //tensorflow/core/common_runtime/eager:kernel_and_device_test PASSED in 0.9s //tensorflow/core/common_runtime/eager:mkl_eager_op_rewrite_test PASSED in 15.6s //tensorflow/core/common_runtime/eager:placement_test PASSED in 13.3s //tensorflow/core/common_runtime/eager:placement_utils_test PASSED in 14.6s //tensorflow/core/common_runtime/eager:summary_optimizer_test PASSED in 0.2s //tensorflow/core/common_runtime/eager:tensor_handle_data_test PASSED in 11.4s //tensorflow/core/common_runtime/eager:tensor_handle_test PASSED in 34.0s //tensorflow/core/common_runtime/gpu:gpu_device_on_non_gpu_machine_test PASSED in 0.2s //tensorflow/core/common_runtime/gpu:gpu_serving_device_selector_test PASSED in 0.1s //tensorflow/core/common_runtime/next_pluggable_device/c:plugin_c_api_test PASSED in 26.6s //tensorflow/core/common_runtime/next_pluggable_device/c:tf_rendezvous_c_api_test PASSED in 0.1s //tensorflow/core/config:flags_py_test PASSED in 14.6s //tensorflow/core/config:flags_test PASSED in 0.1s //tensorflow/core/data:compression_utils_test PASSED in 2.3s //tensorflow/core/data:dataset_utils_test PASSED in 0.7s //tensorflow/core/data:hash_utils_test PASSED in 0.7s //tensorflow/core/data:metric_utils_test PASSED in 6.1s //tensorflow/core/data:name_utils_test PASSED in 0.2s //tensorflow/core/data:rewrite_utils_test PASSED in 0.7s //tensorflow/core/data:serialization_utils_test PASSED in 0.6s //tensorflow/core/data:snapshot_utils_test PASSED in 0.6s //tensorflow/core/data:split_utils_test PASSED in 0.6s //tensorflow/core/data:standalone_save_restore_test PASSED in 2.3s //tensorflow/core/data:standalone_test PASSED in 5.6s //tensorflow/core/data:tfdataz_metrics_test PASSED in 1.8s //tensorflow/core/data:unbounded_thread_pool_test PASSED in 0.8s //tensorflow/core/data:utils_test PASSED in 0.1s //tensorflow/core/data/service:auto_scaler_test PASSED in 1.0s //tensorflow/core/data/service:common_test PASSED in 0.1s //tensorflow/core/data/service:credentials_factory_test PASSED in 0.9s //tensorflow/core/data/service:cross_trainer_cache_test PASSED in 2.1s //tensorflow/core/data/service:data_service_test PASSED in 12.5s //tensorflow/core/data/service:data_transfer_test PASSED in 0.6s //tensorflow/core/data/service:dataset_store_test PASSED in 0.7s //tensorflow/core/data/service:dispatcher_client_test PASSED in 3.2s //tensorflow/core/data/service:dispatcher_state_test PASSED in 0.5s //tensorflow/core/data/service:graph_rewriters_test PASSED in 0.6s //tensorflow/core/data/service:grpc_dispatcher_impl_test PASSED in 1.9s //tensorflow/core/data/service:grpc_util_test PASSED in 0.7s //tensorflow/core/data/service:grpc_worker_impl_test PASSED in 2.5s //tensorflow/core/data/service:journal_test PASSED in 0.4s //tensorflow/core/data/service:logging_utils_test PASSED in 0.1s //tensorflow/core/data/service:split_provider_test PASSED in 2.0s //tensorflow/core/data/service:task_runner_test PASSED in 3.5s //tensorflow/core/data/service:test_util_test PASSED in 2.5s //tensorflow/core/data/service:url_test PASSED in 0.1s //tensorflow/core/data/service:utils_test PASSED in 0.6s //tensorflow/core/data/service:validate_utils_test PASSED in 0.1s //tensorflow/core/data/service:worker_client_test PASSED in 2.3s //tensorflow/core/data/service:worker_impl_test PASSED in 1.8s //tensorflow/core/data/service/client:data_service_client_test PASSED in 4.0s //tensorflow/core/data/service/client:utils_test PASSED in 3.5s //tensorflow/core/data/service/client:validate_utils_test PASSED in 1.6s //tensorflow/core/data/service/snapshot:distributed_snapshot_test PASSED in 18.7s //tensorflow/core/data/service/snapshot:file_utils_test PASSED in 0.5s //tensorflow/core/data/service/snapshot:path_utils_test PASSED in 0.2s //tensorflow/core/data/service/snapshot:snapshot_chunk_provider_test PASSED in 0.7s //tensorflow/core/data/service/snapshot:snapshot_manager_test PASSED in 2.3s //tensorflow/core/data/service/snapshot:snapshot_split_provider_test PASSED in 0.8s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test PASSED in 11.0s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_test PASSED in 3.5s //tensorflow/core/data/service/snapshot:utils_test PASSED in 0.1s //tensorflow/core/debug:debug_graph_utils_test PASSED in 0.5s //tensorflow/core/distributed_runtime:call_options_test PASSED in 0.3s //tensorflow/core/distributed_runtime:cluster_function_library_runtime_test PASSED in 23.4s //tensorflow/core/distributed_runtime:collective_param_resolver_distributed_test PASSED in 0.8s //tensorflow/core/distributed_runtime:collective_rma_distributed_test PASSED in 1.1s //tensorflow/core/distributed_runtime:device_resolver_distributed_test PASSED in 0.5s //tensorflow/core/distributed_runtime:message_wrappers_test PASSED in 0.1s //tensorflow/core/distributed_runtime:partial_run_mgr_test PASSED in 0.5s //tensorflow/core/distributed_runtime:recent_request_ids_test PASSED in 0.3s //tensorflow/core/distributed_runtime:request_id_test PASSED in 0.2s //tensorflow/core/distributed_runtime:rpc_collective_executor_mgr_test PASSED in 0.5s //tensorflow/core/distributed_runtime:server_lib_test PASSED in 0.4s //tensorflow/core/distributed_runtime:session_mgr_test PASSED in 1.0s //tensorflow/core/distributed_runtime:tensor_coding_test PASSED in 0.2s //tensorflow/core/distributed_runtime/coordination:coordination_service_barrier_proxy_test PASSED in 2.1s //tensorflow/core/distributed_runtime/eager:eager_service_impl_test PASSED in 20.7s //tensorflow/core/distributed_runtime/eager:remote_mgr_test PASSED in 12.6s //tensorflow/core/distributed_runtime/integration_test:c_api_multi_client_test_cpu PASSED in 35.5s //tensorflow/core/distributed_runtime/integration_test:c_api_recoverable_jobs_test_cpu PASSED in 47.6s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 34.8s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 2.4s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 1.2s //tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client_test PASSED in 0.5s //tensorflow/core/example:example_parser_configuration_test PASSED in 0.8s //tensorflow/core/example:feature_util_test PASSED in 0.2s //tensorflow/core/framework:allocator_test PASSED in 3.8s //tensorflow/core/framework:attr_value_util_test PASSED in 2.2s //tensorflow/core/framework:batch_util_test PASSED in 1.3s //tensorflow/core/framework:bfloat16_test PASSED in 1.0s //tensorflow/core/framework:common_shape_fns_test PASSED in 1.1s //tensorflow/core/framework:dataset_test PASSED in 1.5s //tensorflow/core/framework:device_base_test PASSED in 1.1s //tensorflow/core/framework:disable_jit_test PASSED in 1.5s //tensorflow/core/framework:framework_op_gen_lib_test PASSED in 0.1s //tensorflow/core/framework:framework_op_segment_test PASSED in 1.0s //tensorflow/core/framework:framework_resource_var_test PASSED in 0.2s //tensorflow/core/framework:framework_run_handler_test PASSED in 2.6s //tensorflow/core/framework:framework_run_handler_util_test PASSED in 2.2s //tensorflow/core/framework:full_type_inference_util_test PASSED in 1.2s //tensorflow/core/framework:full_type_util_test PASSED in 1.1s //tensorflow/core/framework:function_test PASSED in 0.9s //tensorflow/core/framework:graph_def_util_test PASSED in 1.0s //tensorflow/core/framework:graph_to_functiondef_test PASSED in 1.2s //tensorflow/core/framework:kernel_def_builder_test PASSED in 1.0s //tensorflow/core/framework:kernel_def_util_test PASSED in 1.2s //tensorflow/core/framework:memory_types_test PASSED in 1.2s //tensorflow/core/framework:model_test PASSED in 0.9s //tensorflow/core/framework:node_def_builder_test PASSED in 0.9s //tensorflow/core/framework:node_def_util_test PASSED in 1.1s //tensorflow/core/framework:node_properties_test PASSED in 0.8s //tensorflow/core/framework:op_compatibility_test PASSED in 1.2s //tensorflow/core/framework:op_def_builder_test PASSED in 0.9s //tensorflow/core/framework:op_def_util_test PASSED in 0.9s //tensorflow/core/framework:op_kernel_test PASSED in 1.0s //tensorflow/core/framework:op_registration_test PASSED in 1.0s //tensorflow/core/framework:partial_tensor_shape_test PASSED in 1.3s //tensorflow/core/framework:rendezvous_test PASSED in 3.2s //tensorflow/core/framework:resource_handle_test PASSED in 0.4s //tensorflow/core/framework:resource_mgr_test PASSED in 2.2s //tensorflow/core/framework:resource_op_kernel_test PASSED in 1.1s //tensorflow/core/framework:shape_inference_test PASSED in 0.9s //tensorflow/core/framework:shape_inference_testutil_test PASSED in 4.7s //tensorflow/core/framework:tensor_matcher_test PASSED in 1.4s //tensorflow/core/framework:tensor_shape_test PASSED in 7.6s //tensorflow/core/framework:tensor_slice_test PASSED in 0.9s //tensorflow/core/framework:tensor_test PASSED in 32.9s //tensorflow/core/framework:tensor_testutil_test PASSED in 0.9s //tensorflow/core/framework:tensor_util_test PASSED in 0.8s //tensorflow/core/framework:tracking_allocator_test PASSED in 1.0s //tensorflow/core/framework:types_test PASSED in 1.0s //tensorflow/core/framework:variant_op_registry_test PASSED in 21.2s //tensorflow/core/framework:variant_test PASSED in 0.8s //tensorflow/core/framework/registration:registration_test PASSED in 0.8s //tensorflow/core/function/capture:by_ref_capture_test PASSED in 10.4s //tensorflow/core/function/capture:capture_container_test PASSED in 9.4s //tensorflow/core/function/integration_test:side_inputs_manual_api_test PASSED in 24.3s //tensorflow/core/function/integration_test:side_inputs_test PASSED in 26.7s //tensorflow/core/function/polymorphism:function_cache_test PASSED in 10.0s //tensorflow/core/function/polymorphism:function_type_test PASSED in 9.7s //tensorflow/core/function/polymorphism:type_dispatch_test PASSED in 8.2s //tensorflow/core/function/runtime_client:runtime_client_cc_test PASSED in 54.0s //tensorflow/core/function/trace_type:custom_nest_trace_type_test PASSED in 10.6s //tensorflow/core/function/trace_type:default_types_test PASSED in 9.0s //tensorflow/core/function/trace_type:serialization_test PASSED in 18.4s //tensorflow/core/function/trace_type:trace_type_test PASSED in 13.6s //tensorflow/core/graph:algorithm_test PASSED in 1.7s //tensorflow/core/graph:collective_order_test PASSED in 12.5s //tensorflow/core/graph:control_flow_test PASSED in 0.9s //tensorflow/core/graph:costmodel_test PASSED in 0.9s //tensorflow/core/graph:edgeset_test PASSED in 0.7s //tensorflow/core/graph:graph_debug_info_builder_test PASSED in 0.8s //tensorflow/core/graph:graph_def_builder_test PASSED in 1.1s //tensorflow/core/graph:graph_partition_test PASSED in 1.2s //tensorflow/core/graph:graph_test PASSED in 1.1s //tensorflow/core/graph:node_builder_test PASSED in 1.2s //tensorflow/core/graph:optimizer_cse_test PASSED in 0.8s //tensorflow/core/graph:subgraph_test PASSED in 1.2s //tensorflow/core/graph:tensor_id_test PASSED in 0.9s //tensorflow/core/graph:validate_test PASSED in 1.2s //tensorflow/core/graph/regularization:simple_delete_test PASSED in 0.3s //tensorflow/core/graph/regularization:util_test PASSED in 0.3s //tensorflow/core/grappler:graph_topology_view_test PASSED in 0.1s //tensorflow/core/grappler:graph_view_test PASSED in 1.4s //tensorflow/core/grappler:grappler_item_builder_test PASSED in 1.6s //tensorflow/core/grappler:grappler_item_test PASSED in 1.2s //tensorflow/core/grappler:mutable_graph_view_test PASSED in 1.5s //tensorflow/core/grappler:utils_test PASSED in 2.3s //tensorflow/core/grappler/clusters:single_machine_test PASSED in 27.4s //tensorflow/core/grappler/clusters:virtual_cluster_test PASSED in 1.6s //tensorflow/core/grappler/costs:analytical_cost_estimator_test PASSED in 1.7s //tensorflow/core/grappler/costs:cost_estimator_test PASSED in 0.2s //tensorflow/core/grappler/costs:graph_memory_test PASSED in 2.4s //tensorflow/core/grappler/costs:graph_properties_test PASSED in 5.2s //tensorflow/core/grappler/costs:robust_stats_test PASSED in 0.1s //tensorflow/core/grappler/costs:utils_test PASSED in 1.6s //tensorflow/core/grappler/costs:virtual_placer_test PASSED in 0.8s //tensorflow/core/grappler/costs:virtual_scheduler_test PASSED in 2.2s //tensorflow/core/grappler/graph_analyzer:gen_node_test PASSED in 2.4s //tensorflow/core/grappler/graph_analyzer:graph_analyzer_test PASSED in 1.5s //tensorflow/core/grappler/graph_analyzer:hash_tools_test PASSED in 1.7s //tensorflow/core/grappler/graph_analyzer:sig_node_test PASSED in 4.6s //tensorflow/core/grappler/graph_analyzer:subgraph_test PASSED in 1.7s //tensorflow/core/grappler/inputs:utils_test PASSED in 0.3s //tensorflow/core/grappler/optimizers:arithmetic_optimizer_test_cpu PASSED in 3.2s //tensorflow/core/grappler/optimizers:auto_mixed_precision_test_cpu PASSED in 1.9s //tensorflow/core/grappler/optimizers:auto_parallel_test_cpu PASSED in 2.0s //tensorflow/core/grappler/optimizers:common_subgraph_elimination_test_cpu PASSED in 2.7s //tensorflow/core/grappler/optimizers:custom_graph_optimizer_registry_test_cpu PASSED in 5.2s //tensorflow/core/grappler/optimizers:debug_stripper_test_cpu PASSED in 2.1s //tensorflow/core/grappler/optimizers:dependency_optimizer_test_cpu PASSED in 1.6s //tensorflow/core/grappler/optimizers:evaluation_utils_test PASSED in 0.5s //tensorflow/core/grappler/optimizers:function_api_info_test PASSED in 0.2s //tensorflow/core/grappler/optimizers:function_optimizer_test_cpu PASSED in 2.7s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_test_cpu PASSED in 2.3s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_factory_test PASSED in 0.2s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_test_cpu PASSED in 2.2s //tensorflow/core/grappler/optimizers:graph_optimizer_stage_test_cpu PASSED in 2.8s //tensorflow/core/grappler/optimizers:implementation_selector_test PASSED in 2.0s //tensorflow/core/grappler/optimizers:loop_optimizer_test_cpu PASSED in 1.8s //tensorflow/core/grappler/optimizers:memory_optimizer_test_cpu PASSED in 2.6s //tensorflow/core/grappler/optimizers:meta_optimizer_test_cpu PASSED in 7.5s //tensorflow/core/grappler/optimizers:mkl_remapper_test PASSED in 3.2s //tensorflow/core/grappler/optimizers:model_pruner_test_cpu PASSED in 3.4s //tensorflow/core/grappler/optimizers:pin_to_host_optimizer_test_cpu PASSED in 3.0s //tensorflow/core/grappler/optimizers:remapper_test_cpu PASSED in 3.3s //tensorflow/core/grappler/optimizers:scoped_allocator_optimizer_test PASSED in 2.2s //tensorflow/core/grappler/optimizers:shape_optimizer_test_cpu PASSED in 1.8s //tensorflow/core/grappler/optimizers:static_schedule_test_cpu PASSED in 1.2s //tensorflow/core/grappler/optimizers:tfg_optimizer_hook_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:auto_shard_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:autotune_buffer_sizes_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:batch_parallelization_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:disable_intra_op_parallelism_test PASSED in 0.8s //tensorflow/core/grappler/optimizers/data:disable_prefetch_legacy_autotune_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:enable_gradient_descent_test PASSED in 0.4s //tensorflow/core/grappler/optimizers/data:filter_fusion_test PASSED in 1.2s //tensorflow/core/grappler/optimizers/data:filter_parallelization_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:function_utils_test PASSED in 1.8s //tensorflow/core/grappler/optimizers/data:fusion_utils_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:graph_utils_test PASSED in 0.9s //tensorflow/core/grappler/optimizers/data:inject_io_prefetch_test PASSED in 0.8s //tensorflow/core/grappler/optimizers/data:inject_prefetch_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:make_deterministic_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:make_sloppy_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:map_and_batch_fusion_test PASSED in 0.4s //tensorflow/core/grappler/optimizers/data:map_and_filter_fusion_test PASSED in 0.6s 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//tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 20.2s Stats over 4 runs: max = 20.2s, min = 12.8s, avg = 15.8s, dev = 2.7s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 79.2s Stats over 4 runs: max = 79.2s, min = 26.9s, avg = 53.5s, dev = 24.2s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 35.0s Stats over 4 runs: max = 35.0s, min = 9.6s, avg = 20.0s, dev = 10.7s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 71.9s Stats over 4 runs: max = 71.9s, min = 15.5s, avg = 38.2s, dev = 22.7s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 58.0s Stats over 4 runs: max = 58.0s, min = 54.8s, avg = 55.8s, dev = 1.3s //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu PASSED in 42.6s Stats over 4 runs: max = 42.6s, min = 34.6s, avg = 38.1s, dev = 3.1s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 108.1s Stats over 4 runs: max = 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45.7s, dev = 25.9s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 151.4s Stats over 5 runs: max = 151.4s, min = 55.7s, avg = 90.7s, dev = 33.1s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 2.9s Stats over 5 runs: max = 2.9s, min = 2.0s, avg = 2.4s, dev = 0.4s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 26.3s Stats over 5 runs: max = 26.3s, min = 25.5s, avg = 25.9s, dev = 0.3s //tensorflow/dtensor/python/tests:multi_mesh_test_cpu PASSED in 12.5s Stats over 5 runs: max = 12.5s, min = 11.2s, avg = 11.8s, dev = 0.5s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 16.9s Stats over 5 runs: max = 16.9s, min = 13.2s, avg = 15.5s, dev = 1.3s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 30.3s Stats over 5 runs: max = 30.3s, min = 25.1s, avg = 27.5s, dev = 2.0s //tensorflow/python/distribute:vars_test_2gpu PASSED in 21.7s Stats over 5 runs: max = 21.7s, min = 18.4s, avg = 20.0s, dev = 1.0s //tensorflow/python/distribute:vars_test_cpu PASSED in 23.9s Stats over 5 runs: max = 23.9s, min = 19.6s, avg = 21.8s, dev = 1.5s //tensorflow/python/eager:device_placement_test_cpu PASSED in 17.3s Stats over 5 runs: max = 17.3s, min = 5.0s, avg = 12.0s, dev = 5.1s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 126.3s Stats over 5 runs: max = 126.3s, min = 18.2s, avg = 62.9s, dev = 37.5s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 20.4s Stats over 5 runs: max = 20.4s, min = 13.8s, avg = 16.7s, dev = 2.6s //tensorflow/python/grappler:cluster_test_cpu PASSED in 18.7s Stats over 5 runs: max = 18.7s, min = 18.5s, avg = 18.6s, dev = 0.1s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 64.6s Stats over 5 runs: max = 64.6s, min = 39.6s, avg = 52.9s, dev = 8.7s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 51.3s Stats over 5 runs: max = 51.3s, min = 49.9s, avg = 50.4s, dev = 0.5s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 115.6s Stats over 5 runs: max = 115.6s, min = 111.9s, avg = 113.9s, dev = 1.3s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 57.7s Stats over 5 runs: max = 57.7s, min = 53.5s, avg = 55.9s, dev = 1.5s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 92.3s Stats over 5 runs: max = 92.3s, min = 89.2s, avg = 90.9s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 50.7s Stats over 5 runs: max = 50.7s, min = 46.7s, avg = 48.9s, dev = 1.7s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 121.0s Stats over 5 runs: max = 121.0s, min = 108.8s, avg = 116.7s, dev = 4.2s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 65.3s Stats over 5 runs: max = 65.3s, min = 48.1s, avg = 60.5s, dev = 6.4s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 41.9s Stats over 5 runs: max = 41.9s, min = 40.7s, avg = 41.4s, dev = 0.4s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 58.3s Stats over 5 runs: max = 58.3s, min = 54.6s, avg = 55.6s, dev = 1.4s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 11.6s Stats over 5 runs: max = 11.6s, min = 11.3s, avg = 11.4s, dev = 0.1s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 46.9s Stats over 5 runs: max = 46.9s, min = 45.7s, avg = 46.1s, dev = 0.4s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 140.3s Stats over 5 runs: max = 140.3s, min = 8.6s, avg = 35.7s, dev = 52.3s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 14.7s Stats over 5 runs: max = 14.7s, min = 7.7s, avg = 9.8s, dev = 2.6s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 15.9s Stats over 5 runs: max = 15.9s, min = 8.3s, avg = 10.5s, dev = 2.8s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 28.6s Stats over 5 runs: max = 28.6s, min = 9.8s, avg = 14.1s, dev = 7.3s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 78.7s Stats over 5 runs: max = 78.7s, min = 43.5s, avg = 65.1s, dev = 12.7s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 24.2s Stats over 6 runs: max = 24.2s, min = 17.1s, avg = 20.0s, dev = 2.2s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 21.3s Stats over 6 runs: max = 21.3s, min = 15.5s, avg = 18.9s, dev = 1.8s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 27.8s Stats over 6 runs: max = 27.8s, min = 10.0s, avg = 17.9s, dev = 7.8s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 52.4s Stats over 6 runs: max = 52.4s, min = 8.4s, avg = 18.9s, dev = 15.1s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 60.6s Stats over 6 runs: max = 60.6s, min = 30.0s, avg = 48.1s, dev = 9.4s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 12.9s Stats over 7 runs: max = 12.9s, min = 10.0s, avg = 11.3s, dev = 1.0s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 12.9s Stats over 8 runs: max = 12.9s, min = 10.9s, avg = 12.0s, dev = 0.6s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 81.6s Stats over 8 runs: max = 81.6s, min = 10.0s, avg = 31.6s, dev = 23.3s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 73.9s Stats over 8 runs: max = 73.9s, min = 8.2s, avg = 29.7s, dev = 22.2s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 18.2s Stats over 8 runs: max = 18.2s, min = 11.1s, avg = 13.8s, dev = 2.4s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 15.8s Stats over 8 runs: max = 15.8s, min = 9.0s, avg = 11.9s, dev = 2.1s //tensorflow/dtensor/python/tests:input_util_test PASSED in 28.4s Stats over 8 runs: max = 28.4s, min = 17.2s, avg = 23.5s, dev = 3.6s //tensorflow/dtensor/python/tests:save_restore_v2_test_cpu PASSED in 21.1s Stats over 8 runs: max = 21.1s, min = 11.1s, avg = 14.4s, dev = 3.5s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 30.8s Stats over 8 runs: max = 30.8s, min = 7.6s, avg = 16.6s, dev = 7.5s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 31.5s Stats over 8 runs: max = 31.5s, min = 13.1s, avg = 22.7s, dev = 6.5s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 54.7s Stats over 8 runs: max = 54.7s, min = 12.1s, avg = 28.9s, dev = 15.7s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 27.5s Stats over 8 runs: max = 27.5s, min = 10.2s, avg = 16.4s, dev = 6.9s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 23.9s Stats over 8 runs: max = 23.9s, min = 9.4s, avg = 15.1s, dev = 5.6s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_load_test PASSED in 24.7s Stats over 8 runs: max = 24.7s, min = 15.4s, avg = 19.3s, dev = 3.4s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 19.3s Stats over 8 runs: max = 19.3s, min = 10.3s, avg = 14.2s, dev = 3.2s //tensorflow/python/data/kernel_tests:batch_test PASSED in 21.6s Stats over 8 runs: max = 21.6s, min = 17.2s, avg = 19.1s, dev = 1.5s //tensorflow/python/data/kernel_tests:filter_test PASSED in 20.8s Stats over 8 runs: max = 20.8s, min = 17.2s, avg = 19.4s, dev = 1.1s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 37.9s Stats over 8 runs: max = 37.9s, min = 28.0s, avg = 32.2s, dev = 3.5s //tensorflow/python/data/kernel_tests:shard_test PASSED in 25.8s Stats over 8 runs: max = 25.8s, min = 19.0s, avg = 22.7s, dev = 2.5s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 64.6s Stats over 8 runs: max = 64.6s, min = 17.7s, avg = 30.2s, dev = 14.5s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 24.2s Stats over 8 runs: max = 24.2s, min = 15.9s, avg = 20.5s, dev = 2.5s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 86.3s Stats over 8 runs: max = 86.3s, min = 15.0s, avg = 37.2s, dev = 28.2s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 60.5s Stats over 8 runs: max = 60.5s, min = 37.8s, avg = 50.9s, dev = 7.6s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 136.9s Stats over 8 runs: max = 136.9s, min = 99.8s, avg = 121.4s, dev = 11.3s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 102.9s Stats over 8 runs: max = 102.9s, min = 73.1s, avg = 86.6s, dev = 10.5s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 59.8s Stats over 8 runs: max = 59.8s, min = 10.6s, avg = 21.5s, dev = 18.3s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 13.2s Stats over 8 runs: max = 13.2s, min = 10.7s, avg = 12.1s, dev = 0.8s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 52.2s Stats over 8 runs: max = 52.2s, min = 34.2s, avg = 41.6s, dev = 6.1s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 26.9s Stats over 8 runs: max = 26.9s, min = 14.8s, avg = 18.9s, dev = 3.7s //tensorflow/python/distribute/failure_handling:failure_handler_test FLAKY, failed in 1 out of 9 in 94.4s Stats over 9 runs: max = 94.4s, min = 61.1s, avg = 70.4s, dev = 8.9s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/distribute/failure_handling/failure_handler_test/shard_5_of_8/test_attempts/attempt_1.log //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 10.2s Stats over 10 runs: max = 10.2s, min = 7.7s, avg = 9.0s, dev = 0.9s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 12.0s Stats over 10 runs: max = 12.0s, min = 8.2s, avg = 9.9s, dev = 1.2s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 15.3s Stats over 10 runs: max = 15.3s, min = 9.5s, avg = 11.9s, dev = 1.9s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 18.9s Stats over 10 runs: max = 18.9s, min = 7.2s, avg = 13.6s, dev = 3.5s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 82.5s Stats over 10 runs: max = 82.5s, min = 45.8s, avg = 61.5s, dev = 12.9s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 79.5s Stats over 10 runs: max = 79.5s, min = 43.4s, avg = 59.4s, dev = 12.9s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 21.6s Stats over 10 runs: max = 21.6s, min = 10.7s, avg = 14.2s, dev = 3.1s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 22.6s Stats over 10 runs: max = 22.6s, min = 10.5s, avg = 16.3s, dev = 4.6s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 35.9s Stats over 10 runs: max = 35.9s, min = 18.0s, avg = 28.8s, dev = 6.1s //tensorflow/python/framework:function_test_cpu PASSED in 71.1s Stats over 10 runs: max = 71.1s, min = 8.2s, avg = 16.4s, dev = 18.4s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 16.2s Stats over 10 runs: max = 16.2s, min = 9.6s, avg = 12.5s, dev = 2.3s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 9.9s Stats over 10 runs: max = 9.9s, min = 8.1s, avg = 9.2s, dev = 0.6s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 16.6s Stats over 10 runs: max = 16.6s, min = 13.2s, avg = 14.7s, dev = 1.3s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 95.7s Stats over 10 runs: max = 95.7s, min = 88.3s, avg = 92.1s, dev = 2.4s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 93.0s Stats over 10 runs: max = 93.0s, min = 12.5s, avg = 51.1s, dev = 26.4s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 14.1s Stats over 10 runs: max = 14.1s, min = 10.5s, avg = 12.9s, dev = 1.1s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 15.2s Stats over 10 runs: max = 15.2s, min = 8.6s, avg = 12.2s, dev = 1.9s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 26.0s Stats over 10 runs: max = 26.0s, min = 7.6s, avg = 16.1s, dev = 7.8s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu PASSED in 21.2s Stats over 10 runs: max = 21.2s, min = 6.9s, avg = 10.8s, dev = 4.9s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 15.0s Stats over 10 runs: max = 15.0s, min = 10.4s, avg = 13.1s, dev = 1.7s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 10.4s Stats over 10 runs: max = 10.4s, min = 4.8s, avg = 8.8s, dev = 1.8s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 123.5s Stats over 10 runs: max = 123.5s, min = 19.7s, avg = 71.7s, dev = 50.2s //tensorflow/python/ops:special_math_ops_test_cpu PASSED in 65.5s Stats over 10 runs: max = 65.5s, min = 11.9s, avg = 21.8s, dev = 15.9s //tensorflow/python/ops:weak_tensor_special_math_ops_test_cpu PASSED in 15.6s Stats over 10 runs: max = 15.6s, min = 11.8s, avg = 13.4s, dev = 1.2s //tensorflow/python/ops/numpy_ops/tests:np_indexing_test PASSED in 117.7s Stats over 10 runs: max = 117.7s, min = 103.5s, avg = 112.5s, dev = 3.6s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 48.7s Stats over 10 runs: max = 48.7s, min = 44.6s, avg = 46.4s, dev = 1.2s //tensorflow/python/saved_model:load_test_cpu PASSED in 64.5s Stats over 10 runs: max = 64.5s, min = 32.5s, avg = 39.6s, dev = 8.7s //tensorflow/compiler/tests:fft_test_cpu PASSED in 24.7s Stats over 12 runs: max = 24.7s, min = 13.7s, avg = 19.1s, dev = 4.3s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 17.8s Stats over 12 runs: max = 17.8s, min = 6.3s, avg = 11.6s, dev = 3.8s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 16.9s Stats over 12 runs: max = 16.9s, min = 10.3s, avg = 12.7s, dev = 1.9s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 13.3s Stats over 12 runs: max = 13.3s, min = 6.8s, avg = 9.9s, dev = 2.3s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 49.2s Stats over 12 runs: max = 49.2s, min = 24.9s, avg = 39.1s, dev = 7.1s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 42.4s Stats over 12 runs: max = 42.4s, min = 39.7s, avg = 41.2s, dev = 0.9s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 291.8s Stats over 12 runs: max = 291.8s, min = 69.1s, avg = 110.4s, dev = 62.0s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 227.5s Stats over 12 runs: max = 227.5s, min = 15.3s, avg = 54.3s, dev = 58.7s //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 29.0s Stats over 15 runs: max = 29.0s, min = 15.9s, avg = 20.3s, dev = 3.9s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 121.8s Stats over 15 runs: max = 121.8s, min = 114.4s, avg = 118.2s, dev = 2.3s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 83.7s Stats over 15 runs: max = 83.7s, min = 42.8s, avg = 48.7s, dev = 10.3s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 49.9s Stats over 16 runs: max = 49.9s, min = 7.7s, avg = 31.8s, dev = 17.2s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 31.0s Stats over 16 runs: max = 31.0s, min = 12.0s, avg = 19.6s, dev = 5.0s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 34.7s Stats over 16 runs: max = 34.7s, min = 10.7s, avg = 14.0s, dev = 5.5s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 11.4s Stats over 16 runs: max = 11.4s, min = 5.0s, avg = 7.9s, dev = 2.2s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 16.0s Stats over 16 runs: max = 16.0s, min = 8.9s, avg = 12.1s, dev = 2.4s //tensorflow/python/ops:image_ops_test_cpu PASSED in 23.6s Stats over 16 runs: max = 23.6s, min = 13.0s, avg = 16.8s, dev = 2.6s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 113.4s Stats over 17 runs: max = 113.4s, min = 6.3s, avg = 54.3s, dev = 29.8s //tensorflow/python/data/kernel_tests:map_test PASSED in 58.2s Stats over 19 runs: max = 58.2s, min = 31.3s, avg = 41.0s, dev = 5.9s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 10.5s Stats over 20 runs: max = 10.5s, min = 4.8s, avg = 8.1s, dev = 1.7s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 11.6s Stats over 20 runs: max = 11.6s, min = 3.8s, avg = 7.4s, dev = 2.7s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 16.0s Stats over 20 runs: max = 16.0s, min = 9.1s, avg = 10.5s, dev = 1.5s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 18.3s Stats over 20 runs: max = 18.3s, min = 10.1s, avg = 12.8s, dev = 1.7s //tensorflow/compiler/tests:stochastic_cast_op_test_cpu PASSED in 13.7s Stats over 20 runs: max = 13.7s, min = 7.8s, avg = 10.2s, dev = 2.2s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 34.9s Stats over 20 runs: max = 34.9s, min = 6.0s, avg = 13.4s, dev = 8.0s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 24.3s Stats over 20 runs: max = 24.3s, min = 4.0s, avg = 9.0s, dev = 5.4s //tensorflow/dtensor/python/tests:rng_test_cpu PASSED in 14.5s Stats over 20 runs: max = 14.5s, min = 9.9s, avg = 11.9s, dev = 1.3s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 30.6s Stats over 20 runs: max = 30.6s, min = 25.3s, avg = 27.4s, dev = 1.4s //tensorflow/python/kernel_tests:metrics_test PASSED in 51.8s Stats over 20 runs: max = 51.8s, min = 8.5s, avg = 19.8s, dev = 10.3s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 8.4s Stats over 20 runs: max = 8.4s, min = 3.2s, avg = 4.9s, dev = 1.9s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 16.9s Stats over 20 runs: max = 16.9s, min = 3.8s, avg = 7.7s, dev = 4.0s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 50.3s Stats over 20 runs: max = 50.3s, min = 4.6s, avg = 17.0s, dev = 15.3s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 115.5s Stats over 20 runs: max = 115.5s, min = 34.0s, avg = 59.3s, dev = 22.3s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 15.3s Stats over 20 runs: max = 15.3s, min = 7.1s, avg = 10.9s, dev = 2.5s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 17.7s Stats over 20 runs: max = 17.7s, min = 7.8s, avg = 13.2s, dev = 2.8s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 155.8s Stats over 20 runs: max = 155.8s, min = 49.8s, avg = 102.6s, dev = 34.1s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 44.0s Stats over 20 runs: max = 44.0s, min = 22.3s, avg = 29.2s, dev = 7.0s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 22.5s Stats over 20 runs: max = 22.5s, min = 8.2s, avg = 15.4s, dev = 5.4s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 20.6s Stats over 20 runs: max = 20.6s, min = 15.7s, avg = 18.3s, dev = 1.4s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 80.1s Stats over 20 runs: max = 80.1s, min = 6.8s, avg = 33.1s, dev = 24.9s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 39.4s Stats over 20 runs: max = 39.4s, min = 12.0s, avg = 17.4s, dev = 7.7s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 21.3s Stats over 24 runs: max = 21.3s, min = 8.1s, avg = 15.0s, dev = 4.1s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 23.2s Stats over 24 runs: max = 23.2s, min = 4.5s, avg = 11.0s, dev = 5.2s //tensorflow/dtensor/python/tests:multi_device_spmd_test_cpu PASSED in 35.3s Stats over 25 runs: max = 35.3s, min = 24.0s, avg = 29.4s, dev = 2.8s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 12.4s Stats over 30 runs: max = 12.4s, min = 3.7s, avg = 7.7s, dev = 2.4s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 20.0s Stats over 32 runs: max = 20.0s, min = 4.7s, avg = 9.8s, dev = 4.2s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 20.1s Stats over 32 runs: max = 20.1s, min = 5.8s, avg = 12.0s, dev = 3.7s //tensorflow/core/kernels:stochastic_cast_op_test PASSED in 2.0s Stats over 48 runs: max = 2.0s, min = 0.5s, avg = 0.8s, dev = 0.4s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 72.9s Stats over 50 runs: max = 72.9s, min = 26.4s, avg = 49.6s, dev = 13.1s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 19.7s Stats over 50 runs: max = 19.7s, min = 5.3s, avg = 12.7s, dev = 2.9s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 23.1s Stats over 50 runs: max = 23.1s, min = 3.8s, avg = 11.4s, dev = 4.7s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 66.0s Stats over 50 runs: max = 66.0s, min = 30.0s, avg = 46.3s, dev = 8.7s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 18.5s Stats over 50 runs: max = 18.5s, min = 4.8s, avg = 9.3s, dev = 3.3s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 25.6s Stats over 50 runs: max = 25.6s, min = 8.1s, avg = 15.2s, dev = 4.7s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 21.0s Stats over 50 runs: max = 21.0s, min = 4.2s, avg = 8.4s, dev = 4.8s Executed 3054 out of 3054 tests: 3054 tests pass. There were tests whose specified size is too big. Use the --test_verbose_timeout_warnings command line option to see which ones these are.