==================== Test output for //tensorflow/python/distribute/failure_handling:failure_handler_test (shard 1 of 8): Running tests under Python 3.12.0: /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_error_propagation INFO:tensorflow:Using local port 24864 I0325 00:21:34.573455 281473341944880 test_util.py:4013] Using local port 24864 INFO:tensorflow:Using local port 24863 I0325 00:21:34.575491 281473341944880 test_util.py:4013] Using local port 24863 INFO:tensorflow:Using local port 24862 I0325 00:21:34.577085 281473341944880 test_util.py:4013] Using local port 24862 INFO:tensorflow:Using local port 24861 I0325 00:21:34.578596 281473341944880 test_util.py:4013] Using local port 24861 INFO:tensorflow:Cluster starting. I0325 00:21:49.441941 281473341944880 failure_handler_test.py:387] Cluster starting. [worker-0]: I0325 00:21:49.594579 281472881751088 multi_process_runner.py:840] Subprocess with PID 857512 (worker, 0) is now being started. [worker-1]: I0325 00:21:49.594578 281472881751088 multi_process_runner.py:840] Subprocess with PID 857755 (worker, 1) is now being started. [worker-2]: I0325 00:21:49.594607 281472881751088 multi_process_runner.py:840] Subprocess with PID 857787 (worker, 2) is now being started. [worker-3]: I0325 00:21:49.594972 281472881751088 multi_process_runner.py:840] Subprocess with PID 857803 (worker, 3) is now being started. [worker-0]: I0325 00:21:49.595090 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24864", "localhost:24863", "localhost:24862", "localhost:24861"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0325 00:21:49.595095 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24864", "localhost:24863", "localhost:24862", "localhost:24861"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0325 00:21:49.595095 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24864", "localhost:24863", "localhost:24862", "localhost:24861"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0325 00:21:49.595437 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24864", "localhost:24863", "localhost:24862", "localhost:24861"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1711326109.628929 857512 coordination_service.cc:366] Initializing CoordinationService [worker-0]: 2024-03-25 00:21:49.630274: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24864 [worker-0]: I0000 00:00:1711326109.635866 859325 coordination_service.cc:580] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 11346889742522902101 [worker-0]: I0000 00:00:1711326109.635957 859325 coordination_service.cc:542] Waiting for 3/4 tasks to connect. [worker-0]: I0000 00:00:1711326109.635971 859325 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:2 [worker-0]: /job:worker/replica:0/task:1 [worker-3]: 2024-03-25 00:21:49.660597: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24861 [worker-0]: I0000 00:00:1711326109.665583 857512 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-0]: I0000 00:00:1711326109.665608 859325 coordination_service.cc:580] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 15933173914045389179 [worker-0]: I0000 00:00:1711326109.681944 859325 coordination_service.cc:542] Waiting for 2/4 tasks to connect. [worker-0]: I0000 00:00:1711326109.681957 859325 coordination_service.cc:545] Example stragglers: [worker-3]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: /job:worker/replica:0/task:2 [worker-3]: I0000 00:00:1711326109.685359 857803 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-0]: /job:worker/replica:0/task:1 [worker-2]: 2024-03-25 00:21:49.690725: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24862 [worker-0]: I0000 00:00:1711326109.700872 859325 coordination_service.cc:580] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 4346508543403115865 [worker-2]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1711326109.700933 859325 coordination_service.cc:542] Waiting for 1/4 tasks to connect. [worker-2]: I0000 00:00:1711326109.701347 857787 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-0]: I0000 00:00:1711326109.700946 859325 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:1 [worker-1]: 2024-03-25 00:21:49.711775: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24863 [worker-0]: I0000 00:00:1711326109.714394 859325 coordination_service.cc:580] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 1043523608326423631 [worker-1]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1711326109.714445 859325 coordination_service.cc:542] Waiting for 0/4 tasks to connect. [worker-1]: I0000 00:00:1711326109.714592 857755 coordination_service_agent.cc:307] 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-1]: I0325 00:21:49.716579 281472881751088 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]: I0325 00:21:49.716716 281472881751088 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]: I0325 00:21:49.719723 281472881751088 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: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]: I0325 00:21:49.732079 281472881751088 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-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: I0325 00:21:49.772456 281472881751088 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]: I0325 00:21:49.772997 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24864', 'localhost:24863', 'localhost:24862', 'localhost:24861']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0325 00:21:49.773214 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24864', 'localhost:24863', 'localhost:24862', 'localhost:24861']}, 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:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0325 00:21:49.786879 281472881751088 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]: I0325 00:21:49.787400 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24864', 'localhost:24863', 'localhost:24862', 'localhost:24861']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0325 00:21:49.787618 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24864', 'localhost:24863', 'localhost:24862', 'localhost:24861']}, 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]: I0325 00:21:49.790046 281472881751088 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]: I0325 00:21:49.790555 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24864', 'localhost:24863', 'localhost:24862', 'localhost:24861']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0325 00:21:49.790769 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24864', 'localhost:24863', 'localhost:24862', 'localhost:24861']}, 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]: I0325 00:21:49.847441 281472881751088 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]: I0325 00:21:49.847966 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24864', 'localhost:24863', 'localhost:24862', 'localhost:24861']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0325 00:21:49.848183 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24864', 'localhost:24863', 'localhost:24862', 'localhost:24861']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0325 00:21:49.964915 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0325 00:21:49.975880 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0325 00:21:49.995976 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0325 00:21:49.985763 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0325 00:21:49.986081 281472881751088 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-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0325 00:21:49.986426 281472881751088 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]: I0325 00:21:49.986616 281472881751088 failure_handler_test.py:197] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I0325 00:21:49.997629 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0325 00:21:49.997923 281472881751088 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]: W0325 00:21:49.998275 281472881751088 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]: I0325 00:21:49.998466 281472881751088 failure_handler_test.py:197] Start training at 0 [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0325 00:21:50.025709 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I0325 00:21:50.025581 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0325 00:21:50.025888 281472881751088 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]: W0325 00:21:50.026233 281472881751088 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-2]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I0325 00:21:50.045760 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0325 00:21:50.046065 281472881751088 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]: W0325 00:21:50.046407 281472881751088 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]: I0325 00:21:50.046599 281472881751088 failure_handler_test.py:197] Start training at 0 [worker-0]: I0325 00:21:50.026426 281472881751088 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]: I0325 00:21:50.206625 281472881751088 cross_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]: I0325 00:21:50.251500 281472881751088 cross_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]: I0325 00:21:50.291781 281472881751088 cross_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:Error reported to Coordinator: in user code: [worker-0]: E0000 00:00:1711326110.395763 859323 coordination_service.cc:1022] /job:worker/replica:0/task:2 has been set to ERROR in coordination service: RESOURCE_EXHAUSTED: in user code: [worker-0]: [worker-0]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: E0000 00:00:1711326110.399907 860333 coordination_service_agent.cc:761] Coordination agent is set to ERROR: RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [worker-3]: E0000 00:00:1711326110.400028 859259 coordination_service_agent.cc:761] Coordination agent is set to ERROR: RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [worker-2]: [worker-3]: [worker-2]: 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 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-3]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-2]: [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: ResourceExhaustedError: Running out of resources [worker-3]: 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 187, in train_step * [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-2]: Traceback (most recent call last): [worker-0]: 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 187, in train_step * [worker-3]: [worker-2]: 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/training/coordinator.py", line 293, in stop_on_exception [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-3]: ResourceExhaustedError: Running out of resources [worker-2]: yield [worker-1]: [worker-1]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: 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 187, in train_step * [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-1]: [worker-1]: ResourceExhaustedError: Running out of resources [worker-0]: [worker-3]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-2]: 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/mirrored_run.py", line 387, in run [worker-1]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-0]: ResourceExhaustedError: Running out of resources [worker-1]: 2024-03-25 00:21:50.399991: E tensorflow/core/common_runtime/base_collective_executor.cc:249] BaseCollectiveExecutor::StartAbort RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [worker-1]: [worker-3]: 2024-03-25 00:21:50.400104: E tensorflow/core/common_runtime/base_collective_executor.cc:249] BaseCollectiveExecutor::StartAbort RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [worker-2]: self.main_result = self.main_fn(*self.main_args, **self.main_kwargs) [worker-1]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-3]: [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: 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 187, in train_step * [worker-3]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: E0000 00:00:1711326110.396987 859325 coordination_service_agent.cc:761] Coordination agent is set to ERROR: RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-0]: [worker-3]: 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 187, in train_step * [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-2]: 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/autograph/impl/api.py", line 693, in wrapper [worker-1]: [worker-0]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-1]: ResourceExhaustedError: Running out of resources [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: raise e.ag_error_metadata.to_exception(e) [worker-1]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-3]: [worker-0]: 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 187, in train_step * [worker-2]: tensorflow.python.framework.errors_impl.ResourceExhaustedError: in user code: [worker-3]: ResourceExhaustedError: Running out of resources [worker-1]: 2024-03-25 00:21:50.400029: E tensorflow/core/common_runtime/ring_alg.cc:291] Aborting RingReduce with RESOURCE_EXHAUSTED: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-2]: [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-3]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-2]: 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 187, in train_step * [worker-1]: [worker-3]: 2024-03-25 00:21:50.415225: W tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: RESOURCE_EXHAUSTED: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-3]: [worker-3]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: ResourceExhaustedError: Running out of resources [worker-2]: [worker-3]: 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 187, in train_step * [worker-1]: 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 187, in train_step * [worker-2]: ResourceExhaustedError: Running out of resources [worker-0]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-0]: 2024-03-25 00:21:50.397066: E tensorflow/core/common_runtime/base_collective_executor.cc:249] BaseCollectiveExecutor::StartAbort RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [worker-3]: [worker-2]: I0325 00:21:50.387113 281447218475472 coordinator.py:213] Error reported to Coordinator: in user code: [worker-1]: [worker-0]: [worker-3]: ResourceExhaustedError: Running out of resources [worker-1]: ResourceExhaustedError: Running out of resources [worker-2]: [worker-0]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-3]: [worker-1]: [worker-2]: 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 187, in train_step * [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: The error could be from a previous operation. Restart your program to reset. [worker-1]: The error could be from a previous operation. Restart your program to reset. [type.googleapis.com/tensorflow.DerivedStatus=''] [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-0]: 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 187, in train_step * [worker-3]: [[{{node CollectiveReduceV2}}]] [worker-1]: 2024-03-25 00:21:50.400123: W tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: RESOURCE_EXHAUSTED: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-2]: [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-3]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-1]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-0]: [worker-3]: [type.googleapis.com/tensorflow.DerivedStatus=''] [worker-1]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-2]: Traceback (most recent call last): [worker-0]: ResourceExhaustedError: Running out of resources [worker-3]: INFO:tensorflow:Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: 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/training/coordinator.py", line 293, in stop_on_exception [worker-0]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-3]: [worker-1]: 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 187, in train_step * [worker-2]: yield [worker-0]: 2024-03-25 00:21:50.398274: E tensorflow/core/common_runtime/ring_alg.cc:291] Aborting RingReduce with CANCELLED: Cancelled [worker-3]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-2]: 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/mirrored_run.py", line 387, in run [worker-3]: 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 558, in [worker-2]: self.main_result = self.main_fn(*self.main_args, **self.main_kwargs) [worker-2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-3]: [worker-2]: 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/autograph/impl/api.py", line 693, in wrapper [worker-3]: File "", line 1, in [worker-3]: [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 274, in main [worker-3]: [worker-2]: raise e.ag_error_metadata.to_exception(e) [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 313, in _serve_one [worker-1]: [worker-2]: tensorflow.python.framework.errors_impl.ResourceExhaustedError: in user code: [worker-3]: [worker-1]: ResourceExhaustedError: Running out of resources [worker-2]: [worker-1]: [worker-0]: Additional GRPC error information from remote target /job:worker/replica:0/task:3 while calling /tensorflow.WorkerService/RecvBuf: [worker-1]: The error could be from a previous operation. Restart your program to reset. [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/spawn.py", line 135, in _main [worker-0]: :{"created":"@1711326110.397138529","description":"Error received from peer ipv6:[::1]:24861","file":"external/com_github_grpc_grpc/src/core/lib/surface/call.cc","file_line":1056,"grpc_message":"Cancelled","grpc_status":1} [type.googleapis.com/tensorflow.DerivedStatus=''] [worker-1]: [[{{node CollectiveReduceV2}}]] [worker-3]: [worker-2]: 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 187, in train_step * [worker-1]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 314, in _bootstrap [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-0]: 2024-03-25 00:21:50.398382: W tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: RESOURCE_EXHAUSTED: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-2]: [worker-3]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-1]: [type.googleapis.com/tensorflow.DerivedStatus=''] [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 108, in run [worker-0]: [worker-2]: [worker-1]: INFO:tensorflow:Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-3]: [worker-0]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: [worker-2]: INFO:tensorflow:Propagating error to cluster: ResourceExhaustedError(): in user code: [worker-3]: 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 367, in assert_raise_error [worker-1]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: [worker-1]: 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 558, in [worker-3]: [worker-2]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: 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 187, in train_step * [worker-1]: [worker-3]: 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 229, in worker_fn [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-2]: 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 187, in train_step * [worker-1]: File "", line 1, in [worker-3]: [worker-0]: [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-1]: [worker-0]: ResourceExhaustedError: Running out of resources [worker-3]: 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 192, in distributed_train_step [worker-2]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 274, in main [worker-3]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-0]: [worker-1]: [worker-2]: [worker-3]: 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/mirrored_run.py", line 79, in wrapped_fn [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 313, in _serve_one [worker-3]: [worker-1]: [worker-0]: The error could be from a previous operation. Restart your program to reset. [worker-3]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-0]: [[{{node CollectiveReduceV2}}]] [worker-2]: I0325 00:21:50.394557 281472881751088 failure_handling.py:918] Propagating error to cluster: ResourceExhaustedError(): in user code: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/spawn.py", line 135, in _main [worker-3]: [worker-0]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-1]: [worker-3]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: [type.googleapis.com/tensorflow.DerivedStatus=''] [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 314, in _bootstrap [worker-0]: INFO:tensorflow:Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-1]: [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: [worker-0]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 108, in run [worker-3]: 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 187, in train_step * [worker-2]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-1]: [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-0]: 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 558, in [worker-2]: 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 187, in train_step * [worker-1]: 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 367, in assert_raise_error [worker-0]: [worker-3]: [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-0]: File "", line 1, in [worker-1]: [worker-2]: [worker-3]: ResourceExhaustedError: Running out of resources [worker-0]: [worker-3]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 274, in main [worker-1]: 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 229, in worker_fn [worker-2]: [worker-3]: The error could be from a previous operation. Restart your program to reset. [worker-0]: [worker-1]: [worker-2]: E0000 00:00:1711326110.394854 857787 coordination_service_agent.cc:761] Coordination agent is set to ERROR: RESOURCE_EXHAUSTED: in user code: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 313, in _serve_one [worker-3]: [[{{node CollectiveReduceV2}}]] [worker-2]: [worker-1]: 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 192, in distributed_train_step [worker-0]: [worker-3]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-2]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/spawn.py", line 135, in _main [worker-3]: [Op:__inference_train_step_38] [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: [worker-1]: 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/mirrored_run.py", line 79, in wrapped_fn [worker-3]: I0325 00:21:50.420686 281472881751088 failure_handling.py:918] Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-2]: 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 187, in train_step * [worker-1]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 314, in _bootstrap [worker-3]: [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-1]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-0]: [worker-3]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-2]: [worker-1]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 108, in run [worker-3]: 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 558, in [worker-2]: ResourceExhaustedError: Running out of resources [worker-1]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: [worker-3]: [worker-2]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-0]: 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 367, in assert_raise_error [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: File "", line 1, in [worker-2]: 2024-03-25 00:21:50.394997: E tensorflow/core/common_runtime/base_collective_executor.cc:249] BaseCollectiveExecutor::StartAbort RESOURCE_EXHAUSTED: in user code: [worker-0]: [worker-1]: 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 187, in train_step * [worker-3]: [worker-0]: 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 229, in worker_fn [worker-2]: [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 274, in main [worker-0]: [worker-2]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: [worker-3]: [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: ResourceExhaustedError: Running out of resources [worker-0]: 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 192, in distributed_train_step [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 313, in _serve_one [worker-2]: 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 187, in train_step * [worker-1]: [worker-0]: [worker-3]: [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-1]: The error could be from a previous operation. Restart your program to reset. [worker-0]: 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/mirrored_run.py", line 79, in wrapped_fn [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/spawn.py", line 135, in _main [worker-1]: [[{{node CollectiveReduceV2}}]] [worker-2]: [worker-0]: [worker-1]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-3]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-0]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-1]: [Op:__inference_train_step_38] [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 314, in _bootstrap [worker-2]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-1]: I0325 00:21:50.405779 281472881751088 failure_handling.py:918] Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-0]: [worker-2]: I0000 00:00:1711326110.395041 857787 coordination_service_agent.cc:445] Reporting error to coordination service: RESOURCE_EXHAUSTED: in user code: [worker-3]: [worker-1]: [worker-0]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-2]: [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 108, in run [worker-1]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-3]: [worker-1]: 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 558, in [worker-0]: 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 187, in train_step * [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: [worker-3]: 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 367, in assert_raise_error [worker-2]: 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 187, in train_step * [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-1]: File "", line 1, in [worker-3]: [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-0]: [worker-1]: [worker-3]: 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 229, in worker_fn [worker-2]: [worker-0]: ResourceExhaustedError: Running out of resources [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 274, in main [worker-3]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-0]: [worker-1]: [worker-3]: 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 192, in distributed_train_step [worker-2]: [worker-0]: The error could be from a previous operation. Restart your program to reset. [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 313, in _serve_one [worker-3]: [worker-0]: [[{{node CollectiveReduceV2}}]] [worker-1]: [worker-3]: 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/mirrored_run.py", line 79, in wrapped_fn [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/spawn.py", line 135, in _main [worker-0]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-3]: [worker-1]: [worker-0]: [Op:__inference_train_step_40] [worker-3]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 314, in _bootstrap [worker-0]: I0325 00:21:50.420401 281472881751088 failure_handling.py:918] Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-3]: [worker-1]: [worker-0]: [worker-3]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 108, in run [worker-0]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: [worker-0]: 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 558, in [worker-3]: 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 187, in train_step * [worker-1]: 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 367, in assert_raise_error [worker-0]: [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-1]: [worker-0]: File "", line 1, in [worker-3]: [worker-1]: 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 229, in worker_fn [worker-0]: [worker-3]: ResourceExhaustedError: Running out of resources [worker-1]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 274, in main [worker-3]: [worker-1]: 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 192, in distributed_train_step [worker-0]: [worker-3]: The error could be from a previous operation. Restart your program to reset. [worker-1]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/forkserver.py", line 313, in _serve_one [worker-3]: [[{{node CollectiveReduceV2}}]] [worker-1]: 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/mirrored_run.py", line 79, in wrapped_fn [worker-0]: [worker-3]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-1]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/spawn.py", line 135, in _main [worker-3]: [Op:__inference_train_step_38] [worker-1]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-0]: [worker-3]: INFO:tensorflow:Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-1]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 314, in _bootstrap [worker-3]: I0325 00:21:50.421070 281472881751088 failure_handling.py:922] Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-1]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/multiprocessing/process.py", line 108, in run [worker-1]: 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 187, in train_step * [worker-0]: [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-0]: 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 367, in assert_raise_error [worker-1]: [worker-0]: [worker-1]: ResourceExhaustedError: Running out of resources [worker-0]: 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 229, in worker_fn [worker-1]: [worker-0]: [worker-1]: The error could be from a previous operation. Restart your program to reset. [worker-0]: 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 192, in distributed_train_step [worker-1]: [[{{node CollectiveReduceV2}}]] [worker-0]: [worker-1]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-0]: 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/mirrored_run.py", line 79, in wrapped_fn [worker-1]: [Op:__inference_train_step_38] [worker-0]: [worker-1]: INFO:tensorflow:Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-0]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-1]: I0325 00:21:50.406181 281472881751088 failure_handling.py:922] Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-0]: [worker-0]: 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/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: 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 187, in train_step * [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-0]: [worker-0]: ResourceExhaustedError: Running out of resources [worker-0]: [worker-0]: The error could be from a previous operation. Restart your program to reset. [worker-0]: [[{{node CollectiveReduceV2}}]] [worker-0]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-0]: [Op:__inference_train_step_40] [worker-0]: INFO:tensorflow:Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-0]: I0325 00:21:50.420806 281472881751088 failure_handling.py:922] Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. I0325 00:21:51.486619 281473341944880 multi_process_runner.py:646] worker-0 exit code: 0 I0325 00:21:51.486918 281473341944880 multi_process_runner.py:646] worker-1 exit code: 0 I0325 00:21:51.487087 281473341944880 multi_process_runner.py:646] worker-2 exit code: 0 I0325 00:21:51.487238 281473341944880 multi_process_runner.py:646] worker-3 exit code: 0 I0325 00:21:51.498539 281473341944880 multi_process_runner.py:662] Joining log reading threads. I0325 00:21:51.498894 281473341944880 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_error_propagation): 17.12s I0325 00:21:51.692469 281473341944880 test_util.py:2634] time(__main__.PreemptionCheckpointTest.test_error_propagation): 17.12s [ OK ] PreemptionCheckpointTest.test_error_propagation [ RUN ] PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_manager_strategyoption_OneDevice INFO:tensorflow:Start watcher for local signal. I0325 00:21:51.949428 281473341944880 failure_handling.py:674] Start watcher for local signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I0325 00:21:51.949841 281473341944880 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. W0325 00:21:51.950169 281473341944880 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 I0325 00:21:51.950378 281473341944880 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 0xfffef00058a0> 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. W0325 00:21:52.173373 281473341944880 polymorphic_function.py:157] 5 out of the last 5 calls to .distributed_train_step..train_step at 0xfffef00058a0> 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 0xfffef00058a0> 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. W0325 00:21:52.186725 281473341944880 polymorphic_function.py:157] 6 out of the last 6 calls to .distributed_train_step..train_step at 0xfffef00058a0> 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 I0325 00:21:52.440549 281473341944880 failure_handler_test.py:195] epoch 0 finished INFO:tensorflow:epoch 1 finished I0325 00:21:52.645276 281473341944880 failure_handler_test.py:195] epoch 1 finished INFO:tensorflow:epoch 2 finished I0325 00:21:52.932732 281473341944880 failure_handler_test.py:195] epoch 2 finished INFO:tensorflow:epoch 3 finished I0325 00:21:53.232502 281473341944880 failure_handler_test.py:195] epoch 3 finished INFO:tensorflow:epoch 4 finished I0325 00:21:53.468860 281473341944880 failure_handler_test.py:195] epoch 4 finished INFO:tensorflow:epoch 5 finished I0325 00:21:53.669253 281473341944880 failure_handler_test.py:195] epoch 5 finished INFO:tensorflow:sending sigterm I0325 00:21:53.695837 281472817885648 failure_handler_test.py:467] sending sigterm INFO:tensorflow:Member single_worker has received termination notice. I0325 00:21:53.696366 281473341944880 failure_handling.py:701] Member single_worker has received termination notice. INFO:tensorflow:Termination caught in main thread on preempted worker I0325 00:21:53.697284 281473341944880 failure_handling.py:1159] Termination caught in main thread on preempted worker INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. I0325 00:21:53.711528 281473341944880 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. I0325 00:21:53.742917 281473341944880 functional_saver.py:440] Sharding callback duration: 25 INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmp_46ebn_q/fh_ckpt I0325 00:21:53.760861 281473341944880 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmp_46ebn_q/fh_ckpt INFO:tensorflow:Continue training for the grace period. I0325 00:21:53.761215 281473341944880 failure_handling.py:1134] Continue training for the grace period. INFO:tensorflow:epoch 6 finished I0325 00:21:53.919849 281473341944880 failure_handler_test.py:195] epoch 6 finished INFO:tensorflow:epoch 7 finished I0325 00:21:54.120174 281473341944880 failure_handler_test.py:195] epoch 7 finished INFO:tensorflow:Training finished. I0325 00:21:54.120798 281473341944880 failure_handler_test.py:245] Training finished. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_manager_strategyoption_OneDevice): 2.43s I0325 00:21:54.121886 281473341944880 test_util.py:2634] time(__main__.PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_manager_strategyoption_OneDevice): 2.43s [ OK ] PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_manager_strategyoption_OneDevice [ RUN ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 24846 I0325 00:21:54.126164 281473341944880 test_util.py:4013] Using local port 24846 INFO:tensorflow:Using local port 24845 I0325 00:21:54.127799 281473341944880 test_util.py:4013] Using local port 24845 INFO:tensorflow:Using local port 24844 I0325 00:21:54.129283 281473341944880 test_util.py:4013] Using local port 24844 INFO:tensorflow:Using local port 24843 I0325 00:21:54.130656 281473341944880 test_util.py:4013] Using local port 24843 INFO:tensorflow:Cluster starting. I0325 00:21:54.154620 281473341944880 failure_handler_test.py:297] Cluster starting. [worker-0]: I0325 00:21:54.269345 281472881751088 multi_process_runner.py:840] Subprocess with PID 869582 (worker, 0) is now being started. [worker-2]: I0325 00:21:54.301826 281472881751088 multi_process_runner.py:840] Subprocess with PID 869655 (worker, 2) is now being started. [worker-0]: I0325 00:21:54.269881 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24846", "localhost:24845", "localhost:24844", "localhost:24843"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0325 00:21:54.302250 281472881751088 multi_process_runner.py:840] Subprocess with PID 869600 (worker, 1) is now being started. [worker-0]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1711326114.303769 869582 coordination_service.cc:366] Initializing CoordinationService [worker-2]: I0325 00:21:54.302357 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24846", "localhost:24845", "localhost:24844", "localhost:24843"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-0]: 2024-03-25 00:21:54.306151: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24846 [worker-1]: I0325 00:21:54.302703 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24846", "localhost:24845", "localhost:24844", "localhost:24843"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-3]: I0325 00:21:54.311298 281472881751088 multi_process_runner.py:840] Subprocess with PID 869832 (worker, 3) is now being started. [worker-3]: I0325 00:21:54.311814 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24846", "localhost:24845", "localhost:24844", "localhost:24843"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-3]: 2024-03-25 00:21:54.360265: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24843 [worker-0]: I0000 00:00:1711326114.380922 870076 coordination_service.cc:580] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 6830692079713768185 [worker-0]: I0000 00:00:1711326114.381012 870076 coordination_service.cc:542] Waiting for 3/4 tasks to connect. [worker-0]: I0000 00:00:1711326114.381026 870076 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:2 [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:1 [worker-0]: I0000 00:00:1711326114.381578 869582 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-0]: I0000 00:00:1711326114.418670 870133 coordination_service.cc:580] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 4294612801835460721 [worker-3]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-3]: I0000 00:00:1711326114.419346 869832 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-0]: I0000 00:00:1711326114.418726 870133 coordination_service.cc:542] Waiting for 2/4 tasks to connect. [worker-0]: I0000 00:00:1711326114.418739 870133 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:2 [worker-0]: /job:worker/replica:0/task:1 [worker-0]: I0000 00:00:1711326114.476612 870133 coordination_service.cc:580] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 14197771384649549018 [worker-0]: I0000 00:00:1711326114.476674 870133 coordination_service.cc:542] Waiting for 1/4 tasks to connect. [worker-0]: I0000 00:00:1711326114.476686 870133 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:1 [worker-2]: 2024-03-25 00:21:54.465526: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24844 [worker-2]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-2]: I0000 00:00:1711326114.478284 869655 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-1]: 2024-03-25 00:21:54.546206: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24845 [worker-0]: I0000 00:00:1711326114.568201 870133 coordination_service.cc:580] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 2850884979430469373 [worker-0]: I0000 00:00:1711326114.568257 870133 coordination_service.cc:542] Waiting for 0/4 tasks to connect. [worker-1]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-1]: I0000 00:00:1711326114.569502 869600 coordination_service_agent.cc:307] Coordination agent has successfully connected. [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]: I0325 00:21:54.577196 281472881751088 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]: I0325 00:21:54.579275 281472881751088 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: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]: I0325 00:21:54.597654 281472881751088 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]: 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]: I0325 00:21:54.621639 281472881751088 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:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0325 00:21:54.750715 281472881751088 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]: I0325 00:21:54.751271 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0325 00:21:54.751489 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, 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]: I0325 00:21:54.803344 281472881751088 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I0325 00:21:54.830337 281472881751088 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]: I0325 00:21:54.830852 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0325 00:21:54.831066 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0325 00:21:54.815899 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0325 00:21:54.835555 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, 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-2]: I0325 00:21:54.844244 281472881751088 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]: I0325 00:21:54.845029 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0325 00:21:54.845281 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, 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:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0325 00:21:54.945420 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0325 00:21:54.966946 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: I0325 00:21:54.956498 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I0325 00:21:54.978334 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0325 00:21:54.978634 281472881751088 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]: W0325 00:21:54.978995 281472881751088 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]: I0325 00:21:54.979184 281472881751088 failure_handler_test.py:197] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I0325 00:21:54.983200 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0325 00:21:54.983478 281472881751088 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]: W0325 00:21:54.983819 281472881751088 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]: I0325 00:21:54.984009 281472881751088 failure_handler_test.py:197] Start training at 0 [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I0325 00:21:54.987675 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0325 00:21:54.987946 281472881751088 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]: W0325 00:21:54.988281 281472881751088 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-3]: I0325 00:21:54.977823 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-3]: I0325 00:21:54.995342 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:Start training at 0 [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0325 00:21:54.988467 281472881751088 failure_handler_test.py:197] Start training at 0 [worker-3]: I0325 00:21:54.995620 281472881751088 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-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0325 00:21:54.995934 281472881751088 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]: I0325 00:21:54.996122 281472881751088 failure_handler_test.py:197] Start training at 0 [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]: I0325 00:21:55.168715 281472881751088 cross_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]: I0325 00:21:55.201777 281472881751088 cross_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]: I0325 00:21:55.307806 281472881751088 cross_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]: I0325 00:21:55.377748 281472881751088 cross_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]: I0325 00:21:55.449230 281472881751088 cross_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-3]: I0325 00:21:55.449018 281472881751088 cross_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]: I0325 00:21:55.449904 281472881751088 cross_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]: I0325 00:21:55.471114 281472881751088 cross_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]: I0325 00:21:55.538357 281472881751088 cross_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]: I0325 00:21:55.555080 281472881751088 cross_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]: I0325 00:21:55.569929 281472881751088 cross_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]: I0325 00:21:55.558756 281472881751088 cross_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-1]: I0325 00:21:55.641798 281472881751088 cross_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]: I0325 00:21:55.641587 281472881751088 cross_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]: I0325 00:21:55.645212 281472881751088 cross_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]: I0325 00:21:55.649372 281472881751088 cross_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]: I0325 00:21:55.734929 281472881751088 cross_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]: I0325 00:21:55.748803 281472881751088 cross_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]: I0325 00:21:55.753317 281472881751088 cross_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]: I0325 00:21:55.785871 281472881751088 cross_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]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff7e969e40> 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]: W0325 00:21:55.839867 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e969e40> 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:5 out of the last 5 calls to .wrapped_fn at 0xffff7e96a2a0> 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]: W0325 00:21:55.845478 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e96a2a0> 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-0]: I0325 00:21:55.849004 281472881751088 cross_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 0xffff7e97c860> 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]: W0325 00:21:55.845923 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e97c860> 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 0xffff7e96a020> 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-1]: I0325 00:21:55.854432 281472881751088 cross_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]: I0325 00:21:55.854128 281472881751088 cross_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]: W0325 00:21:55.855418 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e96a020> 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-2]: I0325 00:21:55.864073 281472881751088 cross_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 0xfffeda639e40> 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 0xffff7e96b880> 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]: W0325 00:21:55.915425 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeda639e40> 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]: W0325 00:21:55.915481 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff7e96b880> 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 0xffff7e96a840> 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]: W0325 00:21:55.920156 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff7e96a840> 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]: I0325 00:21:55.924361 281472881751088 cross_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:6 out of the last 6 calls to .wrapped_fn at 0xffff7e97fb00> 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]: W0325 00:21:55.925398 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff7e97fb00> 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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0325 00:21:55.924393 281472881751088 cross_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]: I0325 00:21:55.934099 281472881751088 cross_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]: I0325 00:21:55.935388 281472881751088 cross_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]: I0325 00:21:56.010787 281472881751088 cross_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]: I0325 00:21:56.023305 281472881751088 cross_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]: I0325 00:21:56.010887 281472881751088 cross_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]: I0325 00:21:56.069372 281472881751088 cross_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]: I0325 00:21:56.149644 281472881751088 cross_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]: I0325 00:21:56.159379 281472881751088 cross_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]: I0325 00:21:56.159382 281472881751088 cross_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 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= 1 [worker-3]: I0325 00:21:57.975496 281472881751088 cross_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]: I0325 00:21:57.975793 281472881751088 cross_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]: I0325 00:21:57.984290 281472881751088 cross_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, 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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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0325 00:21:58.774088 281472881751088 cross_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]: I0325 00:21:58.773869 281472881751088 cross_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]: I0325 00:21:58.778648 281472881751088 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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-3]: I0325 00:21:59.029402 281472881751088 failure_handler_test.py:195] epoch 1 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-3]: I0325 00:21:59.039420 281472881751088 cross_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 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-0]: I0325 00:21:59.045105 281472881751088 failure_handler_test.py:195] epoch 1 finished [worker-1]: I0325 00:21:59.045439 281472881751088 failure_handler_test.py:195] epoch 1 finished [worker-1]: INFO:tensorflow:Collective 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CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0325 00:21:59.237924 281472881751088 cross_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]: I0325 00:21:59.244720 281472881751088 cross_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]: I0325 00:21:59.244763 281472881751088 cross_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]: I0325 00:21:59.255113 281472881751088 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:sending sigterm I0325 00:21:59.272010 281473341944880 failure_handler_test.py:302] sending sigterm INFO:tensorflow:sigterm sent I0325 00:21:59.272377 281473341944880 failure_handler_test.py:306] sigterm sent [worker-2]: INFO:tensorflow:Member 2 has received termination notice. [worker-2]: I0325 00:21:59.275403 281472881751088 failure_handling.py:710] Member 2 has received termination notice. [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]: I0325 00:21:59.334227 281472881751088 cross_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]: I0325 00:21:59.335145 281472881751088 cross_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]: I0325 00:21:59.341321 281472881751088 failure_handling.py:1159] Termination caught in main thread on preempted worker [worker-2]: INFO:tensorflow:RUN_TO_CHECKPOINT set to 34 [worker-2]: I0325 00:21:59.342610 281472881751088 failure_handling.py:1168] RUN_TO_CHECKPOINT set to 34 [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-2]: I0325 00:21:59.343182 281452192985552 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]: I0325 00:21:59.343581 281472881751088 failure_handling.py:1177] Sigterm acknowledgement from replica 0 received [worker-0]: I0325 00:21:59.343487 281447445164496 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 1 received [worker-2]: I0325 00:21:59.347377 281472881751088 failure_handling.py:1177] Sigterm acknowledgement from replica 1 received [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 2 received [worker-2]: I0325 00:21:59.347999 281472881751088 failure_handling.py:1177] Sigterm acknowledgement from replica 2 received [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 3 received [worker-2]: I0325 00:21:59.348607 281472881751088 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]: I0325 00:21:59.357675 281472881751088 cross_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]: I0325 00:21:59.346136 281447092711888 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 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]: I0325 00:21:59.345640 281472881751088 cross_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:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-1]: I0325 00:21:59.365170 281446698512848 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-0]: I0325 00:21:59.646450 281472881751088 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-3]: I0325 00:21:59.628308 281472881751088 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-0]: I0325 00:21:59.697683 281472881751088 functional_saver.py:440] Sharding callback duration: 20 [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: I0325 00:21:59.696067 281472881751088 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: I0325 00:21:59.676227 281472881751088 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-3]: I0325 00:21:59.727681 281472881751088 functional_saver.py:440] Sharding callback duration: 23 [worker-0]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmps7yy9rqp/fh_ckpt [worker-0]: I0325 00:21:59.756860 281472881751088 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmps7yy9rqp/fh_ckpt [worker-0]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-0]: I0325 00:21:59.759425 281472881751088 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-0]: I0325 00:21:59.760226 281472881751088 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-3]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmps7yy9rqp/workertemp_3/fh_ckpt [worker-3]: I0325 00:21:59.795670 281472881751088 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmps7yy9rqp/workertemp_3/fh_ckpt [worker-3]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: I0325 00:21:59.816377 281472881751088 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-3]: I0325 00:21:59.816669 281472881751088 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-2]: I0325 00:21:59.973972 281472881751088 functional_saver.py:440] Sharding callback duration: 19 [worker-1]: I0325 00:22:00.006748 281472881751088 functional_saver.py:440] Sharding callback duration: 20 [worker-2]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmps7yy9rqp/workertemp_2/fh_ckpt [worker-2]: I0325 00:22:00.055240 281472881751088 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmps7yy9rqp/workertemp_2/fh_ckpt [worker-2]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-2]: I0325 00:22:00.057513 281472881751088 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-2]: I0325 00:22:00.057722 281472881751088 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmps7yy9rqp/workertemp_1/fh_ckpt [worker-1]: I0325 00:22:00.058518 281472881751088 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90iuk_1_6v/tmps7yy9rqp/workertemp_1/fh_ckpt [worker-1]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-1]: I0325 00:22:00.095648 281472881751088 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: I0325 00:22:00.095999 281472881751088 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. INFO:tensorflow:restarting workers I0325 00:22:02.285208 281473341944880 failure_handler_test.py:309] restarting workers INFO:tensorflow:workers restarted I0325 00:22:02.361183 281473341944880 failure_handler_test.py:313] workers restarted [worker-0]: I0325 00:22:02.365880 281472881751088 multi_process_runner.py:840] Subprocess with PID 883275 (worker, 0) is now being started. [worker-0]: I0325 00:22:02.366477 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24846", "localhost:24845", "localhost:24844", "localhost:24843"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0325 00:22:02.371959 281472881751088 multi_process_runner.py:840] Subprocess with PID 883568 (worker, 1) is now being started. [worker-1]: I0325 00:22:02.372551 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24846", "localhost:24845", "localhost:24844", "localhost:24843"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0325 00:22:02.386758 281472881751088 multi_process_runner.py:840] Subprocess with PID 883709 (worker, 2) is now being started. [worker-2]: I0325 00:22:02.387377 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24846", "localhost:24845", "localhost:24844", "localhost:24843"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0325 00:22:02.403154 281472881751088 multi_process_runner.py:840] Subprocess with PID 883798 (worker, 3) is now being started. [worker-3]: I0325 00:22:02.403792 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24846", "localhost:24845", "localhost:24844", "localhost:24843"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-1]: 2024-03-25 00:22:02.439719: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24845 [worker-0]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1711326122.449283 883275 coordination_service.cc:366] Initializing CoordinationService [worker-0]: 2024-03-25 00:22:02.452029: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24846 [worker-2]: 2024-03-25 00:22:02.476307: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24844 [worker-3]: 2024-03-25 00:22:02.487088: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24843 [worker-0]: I0000 00:00:1711326122.505149 884724 coordination_service.cc:580] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 16173675376887680237 [worker-2]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-1]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-3]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-2]: I0000 00:00:1711326122.505531 883709 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-0]: I0000 00:00:1711326122.505245 884724 coordination_service.cc:542] Waiting for 3/4 tasks to connect. [worker-1]: I0000 00:00:1711326122.505548 883568 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-3]: I0000 00:00:1711326122.505598 883798 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-0]: I0000 00:00:1711326122.505259 884724 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:0 [worker-0]: /job:worker/replica:0/task:1 [worker-0]: I0000 00:00:1711326122.505284 884801 coordination_service.cc:580] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 6758105519529894305 [worker-0]: I0000 00:00:1711326122.505313 884801 coordination_service.cc:542] Waiting for 2/4 tasks to connect. [worker-0]: I0000 00:00:1711326122.505323 884801 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:0 [worker-0]: I0000 00:00:1711326122.505348 884803 coordination_service.cc:580] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 8814861599892354875 [worker-0]: I0000 00:00:1711326122.505374 884803 coordination_service.cc:542] Waiting for 1/4 tasks to connect. [worker-0]: I0000 00:00:1711326122.505383 884803 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:0 [worker-0]: I0000 00:00:1711326122.512590 884801 coordination_service.cc:580] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 12880765511623565553 [worker-0]: I0000 00:00:1711326122.512720 884801 coordination_service.cc:542] Waiting for 0/4 tasks to connect. [worker-0]: I0000 00:00:1711326122.512982 883275 coordination_service_agent.cc:307] 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-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-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-1]: I0325 00:22:02.520636 281472881751088 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-3]: I0325 00:22:02.520841 281472881751088 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]: I0325 00:22:02.520750 281472881751088 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-2]: I0325 00:22:02.520725 281472881751088 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:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: I0325 00:22:02.586632 281472881751088 mirrored_strategy.py:423] 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-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-2]: I0325 00:22:02.587373 281472881751088 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: I0325 00:22:02.587234 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0325 00:22:02.587939 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0325 00:22:02.587213 281472881751088 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0325 00:22:02.587454 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0325 00:22:02.588157 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, 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:Check health not enabled. [worker-0]: I0325 00:22:02.587781 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0325 00:22:02.587999 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, 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]: I0325 00:22:02.587435 281472881751088 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]: I0325 00:22:02.588033 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0325 00:22:02.588253 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24846', 'localhost:24845', 'localhost:24844', 'localhost:24843']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0325 00:22:02.736663 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0325 00:22:02.737868 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0325 00:22:02.736605 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I0325 00:22:02.746172 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I0325 00:22:02.739158 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-2]: I0325 00:22:02.747061 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0325 00:22:02.739445 281472881751088 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I0325 00:22:02.747412 281472881751088 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: I0325 00:22:02.748657 281472881751088 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-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]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: I0325 00:22:02.748925 281472881751088 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: W0325 00:22:02.747817 281472881751088 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]: W0325 00:22:02.739817 281472881751088 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-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-1]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:Start training at 34 [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: W0325 00:22:02.749273 281472881751088 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]: INFO:tensorflow:Start training at 34 [worker-2]: I0325 00:22:02.748013 281472881751088 failure_handler_test.py:197] Start training at 34 [worker-0]: Instructions for updating: [worker-1]: I0325 00:22:02.740009 281472881751088 failure_handler_test.py:197] Start training at 34 [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: INFO:tensorflow:Start training at 34 [worker-0]: I0325 00:22:02.749463 281472881751088 failure_handler_test.py:197] Start training at 34 [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-1]: INFO:tensorflow:training restarted [worker-3]: I0325 00:22:02.755646 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-1]: I0325 00:22:02.757341 281472881751088 failure_handler_test.py:207] training restarted [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0325 00:22:02.756031 281472881751088 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-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0325 00:22:02.756411 281472881751088 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 34 [worker-3]: I0325 00:22:02.756611 281472881751088 failure_handler_test.py:197] Start training at 34 [worker-2]: INFO:tensorflow:training restarted [worker-2]: I0325 00:22:02.778143 281472881751088 failure_handler_test.py:207] training restarted [worker-3]: INFO:tensorflow:training restarted [worker-3]: I0325 00:22:02.778241 281472881751088 failure_handler_test.py:207] training restarted [worker-0]: INFO:tensorflow:training restarted [worker-0]: I0325 00:22:02.795629 281472881751088 failure_handler_test.py:207] training restarted [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]: I0325 00:22:02.948342 281472881751088 cross_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]: I0325 00:22:02.962560 281472881751088 cross_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]: I0325 00:22:02.966361 281472881751088 cross_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]: I0325 00:22:02.986584 281472881751088 cross_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]: I0325 00:22:03.075842 281472881751088 cross_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]: I0325 00:22:03.075878 281472881751088 cross_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]: I0325 00:22:03.100193 281472881751088 cross_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]: I0325 00:22:03.116763 281472881751088 cross_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]: I0325 00:22:03.274714 281472881751088 cross_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-3]: I0325 00:22:03.321279 281472881751088 cross_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]: I0325 00:22:03.290779 281472881751088 cross_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]: I0325 00:22:03.310341 281472881751088 cross_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]: I0325 00:22:03.466005 281472881751088 cross_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]: I0325 00:22:03.480752 281472881751088 cross_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]: I0325 00:22:03.477373 281472881751088 cross_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]: I0325 00:22:03.499875 281472881751088 cross_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]: I0325 00:22:03.611748 281472881751088 cross_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]: I0325 00:22:03.602191 281472881751088 cross_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]: I0325 00:22:03.635745 281472881751088 cross_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]: I0325 00:22:03.626985 281472881751088 cross_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 0xffff7e96a700> 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 0xffff7e96b9c0> 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]: W0325 00:22:03.717621 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e96b9c0> 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 0xffff7e974860> 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]: W0325 00:22:03.717040 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e974860> 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 0xffff7e9825c0> 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]: W0325 00:22:03.722779 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e9825c0> 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]: W0325 00:22:03.710799 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e96a700> 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-2]: I0325 00:22:03.738451 281472881751088 cross_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]: I0325 00:22:03.740052 281472881751088 cross_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]: I0325 00:22:03.749664 281472881751088 cross_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]: I0325 00:22:03.799814 281472881751088 cross_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]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff7e976660> 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]: W0325 00:22:03.929869 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff7e976660> 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 0xfffeda668720> 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]: W0325 00:22:03.929942 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeda668720> 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-0]: I0325 00:22:03.939355 281472881751088 cross_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]: I0325 00:22:03.939672 281472881751088 cross_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:6 out of the last 6 calls to .wrapped_fn at 0xfffeda639e40> 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]: W0325 00:22:03.950968 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeda639e40> 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 0xfffeda639e40> 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]: W0325 00:22:03.955552 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeda639e40> 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-1]: I0325 00:22:03.963308 281472881751088 cross_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]: I0325 00:22:03.965992 281472881751088 cross_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]: I0325 00:22:04.081913 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= 1 [worker-1]: I0325 00:22:05.523172 281472881751088 cross_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]: I0325 00:22:05.519908 281472881751088 cross_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]: I0325 00:22:05.539847 281472881751088 cross_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-3]: I0325 00:22:05.746857 281472881751088 cross_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]: I0325 00:22:05.747743 281472881751088 cross_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]: I0325 00:22:05.760050 281472881751088 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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= 1 [worker-0]: I0325 00:22:08.133329 281472881751088 cross_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]: I0325 00:22:08.133491 281472881751088 cross_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]: I0325 00:22:08.150084 281472881751088 cross_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, 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= 1 [worker-0]: I0325 00:22:08.379455 281472881751088 cross_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]: I0325 00:22:08.387774 281472881751088 cross_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]: I0325 00:22:08.388492 281472881751088 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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00:22:08.493994 281472881751088 cross_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]: I0325 00:22:08.498199 281472881751088 cross_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]: I0325 00:22:08.590451 281472881751088 cross_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]: I0325 00:22:08.683495 281472881751088 cross_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]: I0325 00:22:08.696036 281472881751088 cross_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]: I0325 00:22:08.700627 281472881751088 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finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-0]: I0325 00:22:09.481011 281472881751088 failure_handler_test.py:195] epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-2]: I0325 00:22:09.483562 281472881751088 failure_handler_test.py:195] epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-1]: I0325 00:22:09.485496 281472881751088 failure_handler_test.py:195] epoch 4 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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0325 00:22:09.496538 281472881751088 cross_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]: I0325 00:22:09.494805 281472881751088 cross_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]: I0325 00:22:09.504906 281472881751088 cross_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]: I0325 00:22:09.529949 281472881751088 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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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-0]: I0325 00:22:09.836668 281472881751088 cross_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]: I0325 00:22:09.836862 281472881751088 cross_device_ops.py:1154] Collective all_reduce tensors: 1 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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]: INFO:tensorflow:epoch 5 finished [worker-1]: INFO:tensorflow:epoch 5 finished [worker-0]: I0325 00:22:10.935815 281472881751088 failure_handler_test.py:195] epoch 5 finished [worker-2]: INFO:tensorflow:epoch 5 finished [worker-1]: I0325 00:22:10.935986 281472881751088 failure_handler_test.py:195] epoch 5 finished [worker-2]: I0325 00:22:10.936383 281472881751088 failure_handler_test.py:195] epoch 5 finished [worker-3]: INFO:tensorflow:epoch 5 finished [worker-3]: I0325 00:22:10.936601 281472881751088 failure_handler_test.py:195] epoch 5 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]: I0325 00:22:10.948284 281472881751088 cross_device_ops.py:1154] Collective 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= 1 [worker-1]: I0325 00:22:11.589055 281472881751088 cross_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]: 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]: I0325 00:22:11.649396 281472881751088 cross_device_ops.py:1154] Collective 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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]: I0325 00:22:13.963677 281472881751088 cross_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]: I0325 00:22:14.113337 281472881751088 cross_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 = 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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]: I0325 00:22:14.372092 281472881751088 cross_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]: I0325 00:22:14.374108 281472881751088 cross_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 = 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= 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]: I0325 00:22:14.511158 281472881751088 cross_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]: I0325 00:22:14.511528 281472881751088 cross_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]: I0325 00:22:14.510943 281472881751088 cross_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]: I0325 00:22:14.512372 281472881751088 cross_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]: I0325 00:22:14.599535 281472881751088 cross_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]: I0325 00:22:14.614875 281472881751088 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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epoch 7 finished [worker-3]: INFO:tensorflow:epoch 7 finished [worker-3]: I0325 00:22:14.806719 281472881751088 failure_handler_test.py:195] epoch 7 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0325 00:22:14.797580 281472881751088 failure_handler_test.py:245] Training finished. [worker-2]: INFO:tensorflow:epoch 7 finished [worker-2]: I0325 00:22:14.805820 281472881751088 failure_handler_test.py:195] epoch 7 finished [worker-0]: I0325 00:22:14.795167 281472881751088 failure_handler_test.py:195] epoch 7 finished [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0325 00:22:14.807231 281472881751088 failure_handler_test.py:245] Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-0]: I0325 00:22:14.812874 281472881751088 failure_handler_test.py:245] Training finished. [worker-3]: INFO:tensorflow:Training finished. [worker-3]: I0325 00:22:14.825465 281472881751088 failure_handler_test.py:245] Training finished. I0325 00:22:15.355129 281473341944880 multi_process_runner.py:646] worker-0 exit code: 0 I0325 00:22:15.355421 281473341944880 multi_process_runner.py:646] worker-1 exit code: 0 I0325 00:22:15.355585 281473341944880 multi_process_runner.py:646] worker-2 exit code: 0 I0325 00:22:15.355738 281473341944880 multi_process_runner.py:646] worker-3 exit code: 0 I0325 00:22:15.358123 281473341944880 multi_process_runner.py:662] Joining log reading threads. I0325 00:22:15.358375 281473341944880 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker): 21.58s I0325 00:22:15.703290 281473341944880 test_util.py:2634] time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker): 21.58s [ OK ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 24798 I0325 00:22:15.707072 281473341944880 test_util.py:4013] Using local port 24798 INFO:tensorflow:Using local port 24797 I0325 00:22:15.708617 281473341944880 test_util.py:4013] Using local port 24797 INFO:tensorflow:Using local port 24796 I0325 00:22:15.710097 281473341944880 test_util.py:4013] Using local port 24796 INFO:tensorflow:Using local port 24795 I0325 00:22:15.711582 281473341944880 test_util.py:4013] Using local port 24795 INFO:tensorflow:Cluster starting. I0325 00:22:15.873108 281473341944880 failure_handler_test.py:297] Cluster starting. [worker-0]: I0325 00:22:15.966138 281472881751088 multi_process_runner.py:840] Subprocess with PID 917651 (worker, 0) is now being started. [worker-0]: I0325 00:22:15.966651 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24798", "localhost:24797", "localhost:24796", "localhost:24795"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0325 00:22:15.991705 281472881751088 multi_process_runner.py:840] Subprocess with PID 917695 (worker, 1) is now being started. [worker-1]: I0325 00:22:15.992182 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24798", "localhost:24797", "localhost:24796", "localhost:24795"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-0]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1711326136.000626 917651 coordination_service.cc:366] Initializing CoordinationService [worker-0]: 2024-03-25 00:22:16.001887: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24798 [worker-0]: I0000 00:00:1711326136.015300 918166 coordination_service.cc:580] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 8844673412884671163 [worker-0]: I0000 00:00:1711326136.015392 918166 coordination_service.cc:542] Waiting for 3/4 tasks to connect. [worker-0]: I0000 00:00:1711326136.015407 918166 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:2 [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:1 [worker-0]: I0000 00:00:1711326136.016047 917651 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-1]: 2024-03-25 00:22:16.033715: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24797 [worker-0]: I0000 00:00:1711326136.052387 918166 coordination_service.cc:580] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 2147999472061087843 [worker-1]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1711326136.052483 918166 coordination_service.cc:542] Waiting for 2/4 tasks to connect. [worker-1]: I0000 00:00:1711326136.052692 917695 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-0]: I0000 00:00:1711326136.052496 918166 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:2 [worker-0]: /job:worker/replica:0/task:3 [worker-3]: I0325 00:22:16.063858 281472881751088 multi_process_runner.py:840] Subprocess with PID 918331 (worker, 3) is now being started. [worker-2]: I0325 00:22:16.064358 281472881751088 multi_process_runner.py:840] Subprocess with PID 917782 (worker, 2) is now being started. [worker-3]: I0325 00:22:16.064332 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24798", "localhost:24797", "localhost:24796", "localhost:24795"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: I0325 00:22:16.064791 281472881751088 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24798", "localhost:24797", "localhost:24796", "localhost:24795"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-2]: 2024-03-25 00:22:16.099023: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24796 [worker-3]: 2024-03-25 00:22:16.098961: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:464] Started server with target: grpc://localhost:24795 [worker-0]: I0000 00:00:1711326136.101875 918166 coordination_service.cc:580] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 212300930878646660 [worker-3]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1711326136.101936 918166 coordination_service.cc:542] Waiting for 1/4 tasks to connect. [worker-3]: I0000 00:00:1711326136.102135 918331 coordination_service_agent.cc:307] Coordination agent has successfully connected. [worker-0]: I0000 00:00:1711326136.101948 918166 coordination_service.cc:545] Example stragglers: [worker-0]: /job:worker/replica:0/task:2 [worker-0]: I0000 00:00:1711326136.125664 918166 coordination_service.cc:580] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 5548576754628696435 [worker-0]: I0000 00:00:1711326136.125726 918166 coordination_service.cc:542] Waiting for 0/4 tasks to connect. [worker-2]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-2]: I0000 00:00:1711326136.131063 917782 coordination_service_agent.cc:307] 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-0]: I0325 00:22:16.133363 281472881751088 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-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-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]: I0325 00:22:16.133285 281472881751088 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-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-2]: I0325 00:22:16.134528 281472881751088 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]: I0325 00:22:16.133284 281472881751088 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-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I0325 00:22:16.188968 281472881751088 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]: I0325 00:22:16.189512 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24798', 'localhost:24797', 'localhost:24796', 'localhost:24795']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0325 00:22:16.189726 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24798', 'localhost:24797', 'localhost:24796', 'localhost:24795']}, 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-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-1]: I0325 00:22:16.189100 281472881751088 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-0]: I0325 00:22:16.190772 281472881751088 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-1]: INFO:tensorflow:Check health not enabled. [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: I0325 00:22:16.191358 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: I0325 00:22:16.189616 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24798', 'localhost:24797', 'localhost:24796', 'localhost:24795']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0325 00:22:16.197722 281472881751088 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24798', 'localhost:24797', 'localhost:24796', 'localhost:24795']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0325 00:22:16.191580 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24798', 'localhost:24797', 'localhost:24796', 'localhost:24795']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:Check health not enabled. [worker-1]: I0325 00:22:16.189829 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24798', 'localhost:24797', 'localhost:24796', 'localhost:24795']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0325 00:22:16.200945 281472881751088 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24798', 'localhost:24797', 'localhost:24796', 'localhost:24795']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0325 00:22:16.201161 281472881751088 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24798', 'localhost:24797', 'localhost:24796', 'localhost:24795']}, 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:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0325 00:22:16.236495 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0325 00:22:16.236742 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0325 00:22:16.236844 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0325 00:22:16.236778 281472881751088 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I0325 00:22:16.238224 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0325 00:22:16.238530 281472881751088 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]: W0325 00:22:16.238879 281472881751088 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]: I0325 00:22:16.239072 281472881751088 failure_handler_test.py:197] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I0325 00:22:16.255166 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0325 00:22:16.255516 281472881751088 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: INFO:tensorflow:Start watcher for local signal. [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-2]: I0325 00:22:16.255312 281472881751088 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: I0325 00:22:16.255605 281472881751088 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-1]: W0325 00:22:16.255849 281472881751088 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-3]: I0325 00:22:16.265367 281472881751088 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-1]: INFO:tensorflow:Start training at 0 [worker-2]: Instructions for updating: [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: I0325 00:22:16.256042 281472881751088 failure_handler_test.py:197] Start training at 0 [worker-3]: I0325 00:22:16.265694 281472881751088 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: W0325 00:22:16.255948 281472881751088 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-2]: Instructions for updating: [worker-3]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:Start training at 0 [worker-3]: W0325 00:22:16.266039 281472881751088 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]: I0325 00:22:16.256136 281472881751088 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]: I0325 00:22:16.266232 281472881751088 failure_handler_test.py:197] Start training at 0 [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]: I0325 00:22:16.444152 281472881751088 cross_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]: I0325 00:22:16.442234 281472881751088 cross_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]: I0325 00:22:16.442354 281472881751088 cross_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]: I0325 00:22:16.460132 281472881751088 cross_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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0325 00:22:16.588855 281472881751088 cross_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]: I0325 00:22:16.575788 281472881751088 cross_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]: I0325 00:22:16.589803 281472881751088 cross_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]: I0325 00:22:16.589167 281472881751088 cross_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]: I0325 00:22:16.645733 281472881751088 cross_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]: I0325 00:22:16.645933 281472881751088 cross_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]: I0325 00:22:16.646502 281472881751088 cross_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]: I0325 00:22:16.660422 281472881751088 cross_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]: 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]: I0325 00:22:16.722833 281472881751088 cross_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]: I0325 00:22:16.721457 281472881751088 cross_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]: I0325 00:22:16.721521 281472881751088 cross_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]: I0325 00:22:16.721510 281472881751088 cross_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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0325 00:22:16.788807 281472881751088 cross_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]: I0325 00:22:16.787828 281472881751088 cross_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]: I0325 00:22:16.788990 281472881751088 cross_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]: I0325 00:22:16.787949 281472881751088 cross_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 0xffff7e97e200> 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 0xffff7e97e200> 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 0xffff7e97a0c0> 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]: W0325 00:22:16.844057 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e97e200> 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]: W0325 00:22:16.844382 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e97a0c0> 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]: W0325 00:22:16.844207 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e97e200> 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 0xffff7e978540> 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]: W0325 00:22:16.849319 281472881751088 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff7e978540> 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-2]: I0325 00:22:16.853190 281472881751088 cross_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]: I0325 00:22:16.853543 281472881751088 cross_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]: I0325 00:22:16.854326 281472881751088 cross_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]: I0325 00:22:16.858130 281472881751088 cross_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]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff7e97e160> 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 0xfffeda639e40> 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 0xffff7e97e160> 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 0xffff7e97a2a0> 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]: W0325 00:22:16.982846 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff7e97e160> 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]: W0325 00:22:16.983084 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xfffeda639e40> 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]: W0325 00:22:16.995344 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff7e97e160> 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]: W0325 00:22:16.983027 281472881751088 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff7e97a2a0> 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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0325 00:22:17.019497 281472881751088 cross_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]: I0325 00:22:16.991745 281472881751088 cross_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]: I0325 00:22:16.991584 281472881751088 cross_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]: I0325 00:22:17.005949 281472881751088 cross_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]: I0325 00:22:17.088369 281472881751088 cross_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]: I0325 00:22:17.092848 281472881751088 cross_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]: I0325 00:22:17.099376 281472881751088 cross_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]: I0325 00:22:17.111453 281472881751088 cross_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]: I0325 00:22:17.181584 281472881751088 cross_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]: I0325 00:22:17.182582 281472881751088 cross_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]: I0325 00:22:17.182693 281472881751088 cross_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]: I0325 00:22:17.184021 281472881751088 cross_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]: I0325 00:22:17.259328 281472881751088 cross_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]: I0325 00:22:17.263980 281472881751088 cross_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]: I0325 00:22:17.264121 281472881751088 cross_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]: I0325 00:22:17.291368 281472881751088 cross_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]: I0325 00:22:17.360560 281472881751088 cross_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]: I0325 00:22:17.363734 281472881751088 cross_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]: I0325 00:22:17.365693 281472881751088 cross_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]: I0325 00:22:17.390979 281472881751088 cross_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]: I0325 00:22:17.452355 281472881751088 cross_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]: I0325 00:22:17.452354 281472881751088 cross_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]: I0325 00:22:17.452527 281472881751088 cross_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]: I0325 00:22:17.459424 281472881751088 cross_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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0325 00:22:17.518216 281472881751088 cross_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]: I0325 00:22:17.518217 281472881751088 cross_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]: I0325 00:22:17.518047 281472881751088 cross_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]: I0325 00:22:17.518759 281472881751088 cross_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-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]: I0325 00:22:17.577294 281472881751088 cross_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]: I0325 00:22:17.577450 281472881751088 cross_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]: I0325 00:22:17.577458 281472881751088 cross_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]: I0325 00:22:17.577578 281472881751088 cross_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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 I0325 00:22:17.998256 281473341944880 failure_handler_test.py:302] 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 [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]: I0325 00:22:17.636110 281472881751088 cross_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]: I0325 00:22:17.635833 281472881751088 cross_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-0]: I0325 00:22:17.636598 281472881751088 cross_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 0 finished [worker-1]: I0325 00:22:17.685631 281472881751088 failure_handler_test.py:195] epoch 0 finished [ FAILED ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker [worker-2]: I0325 00:22:17.636124 281472881751088 cross_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]: I0325 00:22:17.685267 281472881751088 failure_handler_test.py:195] 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 INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker): 22.18s [worker-0]: INFO:tensorflow:epoch 0 finished I0325 00:22:37.881016 281473341944880 test_util.py:2634] time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker): 22.18s [worker-2]: INFO:tensorflow:epoch 0 finished ====================================================================== [worker-1]: I0325 00:22:17.695540 281472881751088 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 ERROR: test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker (__main__.PreemptionCheckpointTest) PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker(api_wrapping_train=True, input_arg='manager', strategy_option='MWMS_multi_worker') ---------------------------------------------------------------------- [worker-0]: I0325 00:22:17.685528 281472881751088 failure_handler_test.py:195] epoch 0 finished 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 [worker-2]: I0325 00:22:17.685685 281472881751088 failure_handler_test.py:195] epoch 0 finished ---------------------------------------------------------------------- Ran 4 tests in 63.313s [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 FAILED (errors=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]: I0325 00:22:17.694963 281472881751088 cross_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]: I0325 00:22:17.695473 281472881751088 cross_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]: I0325 00:22:17.752445 281472881751088 cross_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]: I0325 00:22:17.694833 281472881751088 cross_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]: I0325 00:22:17.751698 281472881751088 cross_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]: I0325 00:22:17.751446 281472881751088 cross_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]: I0325 00:22:17.752130 281472881751088 cross_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]: I0325 00:22:17.809261 281472881751088 cross_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]: I0325 00:22:17.808437 281472881751088 cross_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]: I0325 00:22:17.808192 281472881751088 cross_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]: I0325 00:22:17.808907 281472881751088 cross_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]: I0325 00:22:17.865500 281472881751088 cross_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]: I0325 00:22:17.864796 281472881751088 cross_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]: I0325 00:22:17.864959 281472881751088 cross_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]: I0325 00:22:17.864993 281472881751088 cross_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]: I0325 00:22:17.920836 281472881751088 cross_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]: I0325 00:22:17.920368 281472881751088 cross_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]: I0325 00:22:17.920101 281472881751088 cross_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]: I0325 00:22:17.920497 281472881751088 cross_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]: I0325 00:22:17.976273 281472881751088 cross_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]: I0325 00:22:17.975458 281472881751088 cross_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]: I0325 00:22:17.975947 281472881751088 cross_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]: I0325 00:22:17.975311 281472881751088 cross_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]: I0325 00:22:18.030840 281472881751088 cross_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-2]: I0325 00:22:18.030508 281472881751088 cross_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]: I0325 00:22:18.030329 281472881751088 cross_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]: I0325 00:22:18.030504 281472881751088 cross_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]: I0325 00:22:18.085588 281472881751088 cross_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]: I0325 00:22:18.085170 281472881751088 cross_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]: I0325 00:22:18.084827 281472881751088 cross_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]: I0325 00:22:18.085185 281472881751088 cross_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]: I0325 00:22:18.140240 281472881751088 cross_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-2]: I0325 00:22:18.140196 281472881751088 cross_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]: I0325 00:22:18.140212 281472881751088 cross_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]: I0325 00:22:18.139443 281472881751088 cross_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]: I0325 00:22:18.195191 281472881751088 cross_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]: I0325 00:22:18.194829 281472881751088 cross_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]: I0325 00:22:18.195084 281472881751088 cross_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]: I0325 00:22:18.195156 281472881751088 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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281472881751088 cross_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]: I0325 00:22:18.251759 281472881751088 cross_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]: I0325 00:22:18.429590 281472881751088 cross_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]: 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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:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0325 00:22:18.250981 281472881751088 cross_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]: I0325 00:22:18.631238 281472881751088 cross_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]: I0325 00:22:18.631882 281472881751088 cross_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]: I0325 00:22:18.687277 281472881751088 cross_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-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]: I0325 00:22:18.687090 281472881751088 cross_device_ops.py:1154] Collective 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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:epoch 1 finished [worker-3]: I0325 00:22:18.743085 281472881751088 cross_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]: I0325 00:22:18.743573 281472881751088 cross_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]: I0325 00:22:18.631435 281472881751088 cross_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]: I0325 00:22:18.790674 281472881751088 failure_handler_test.py:195] epoch 1 finished [worker-3]: INFO:tensorflow:epoch 1 finished [worker-0]: INFO:tensorflow:epoch 1 finished [worker-3]: I0325 00:22:18.790394 281472881751088 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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0325 00:22:18.790622 281472881751088 failure_handler_test.py:195] epoch 1 finished [worker-2]: I0325 00:22:18.686832 281472881751088 cross_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]: I0325 00:22:18.799309 281472881751088 cross_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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0325 00:22:18.798712 281472881751088 cross_device_ops.py:1154] Collective 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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]: I0325 00:22:18.853414 281472881751088 cross_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]: I0325 00:22:18.790710 281472881751088 failure_handler_test.py:195] epoch 1 finished [worker-0]: I0325 00:22:18.853963 281472881751088 cross_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]: I0325 00:22:18.909070 281472881751088 cross_device_ops.py:1154] Collective all_reduce tensors: 1 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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]: I0325 00:22:19.024655 281472881751088 cross_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]: I0325 00:22:19.082616 281472881751088 cross_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]: I0325 00:22:19.081487 281472881751088 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 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00:22:19.081547 281472881751088 cross_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]: I0325 00:22:19.250226 281472881751088 cross_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]: I0325 00:22:19.249981 281472881751088 cross_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]: I0325 00:22:19.304965 281472881751088 cross_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 = 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= 1 [worker-1]: I0325 00:22:19.305158 281472881751088 cross_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]: I0325 00:22:19.305254 281472881751088 cross_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-3]: I0325 00:22:19.415942 281472881751088 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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00:22:19.586197 281472881751088 cross_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 2 finished [worker-3]: I0325 00:22:19.634778 281472881751088 failure_handler_test.py:195] epoch 2 finished [worker-1]: I0325 00:22:19.359226 281472881751088 cross_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-1]: I0325 00:22:19.415728 281472881751088 cross_device_ops.py:1154] 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-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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0325 00:22:19.529520 281472881751088 cross_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]: I0325 00:22:19.192014 281472881751088 cross_device_ops.py:1154] Collective all_reduce tensors: 1 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all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0325 00:22:19.305377 281472881751088 cross_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: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-1]: I0325 00:22:19.634946 281472881751088 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-3]: I0325 00:22:19.868762 281472881751088 cross_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]: I0325 00:22:19.415565 281472881751088 cross_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]: I0325 00:22:19.359885 281472881751088 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0325 00:22:19.643458 281472881751088 cross_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]: I0325 00:22:19.927143 281472881751088 cross_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]: I0325 00:22:19.471739 281472881751088 cross_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]: I0325 00:22:19.416082 281472881751088 cross_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]: 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]: I0325 00:22:19.699902 281472881751088 cross_device_ops.py:1154] Collective 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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-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]: I0325 00:22:19.529067 281472881751088 cross_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]: I0325 00:22:19.755783 281472881751088 cross_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]: I0325 00:22:20.039483 281472881751088 cross_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]: I0325 00:22:19.585885 281472881751088 cross_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:epoch 2 finished [worker-2]: I0325 00:22:19.586665 281472881751088 cross_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]: I0325 00:22:19.811838 281472881751088 cross_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]: I0325 00:22:20.096204 281472881751088 cross_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]: I0325 00:22:19.634834 281472881751088 failure_handler_test.py:195] epoch 2 finished [worker-2]: INFO:tensorflow:epoch 2 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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0325 00:22:19.867976 281472881751088 cross_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]: I0325 00:22:20.153566 281472881751088 cross_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]: I0325 00:22:19.635060 281472881751088 failure_handler_test.py:195] epoch 2 finished [worker-0]: I0325 00:22:19.643066 281472881751088 cross_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-1]: I0325 00:22:19.926174 281472881751088 cross_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]: I0325 00:22:20.208848 281472881751088 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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281472881751088 cross_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]: I0325 00:22:19.755640 281472881751088 cross_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]: I0325 00:22:19.643973 281472881751088 cross_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]: I0325 00:22:20.312517 281472881751088 cross_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]: I0325 00:22:19.811681 281472881751088 cross_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]: I0325 00:22:19.700312 281472881751088 cross_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]: I0325 00:22:20.038490 281472881751088 cross_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]: I0325 00:22:19.867819 281472881751088 cross_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 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failure_handler_test.py:195] epoch 3 finished [worker-0]: I0325 00:22:20.038365 281472881751088 cross_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]: I0325 00:22:20.208960 281472881751088 cross_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 = 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CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0325 00:22:20.152155 281472881751088 cross_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-1]: I0325 00:22:20.313198 281472881751088 cross_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]: I0325 00:22:20.573118 281472881751088 cross_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]: I0325 00:22:20.208797 281472881751088 cross_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]: I0325 00:22:19.927140 281472881751088 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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00:22:20.260930 281472881751088 cross_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-3]: I0325 00:22:20.625983 281472881751088 cross_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]: I0325 00:22:20.416640 281472881751088 cross_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]: I0325 00:22:20.039470 281472881751088 cross_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]: I0325 00:22:20.313064 281472881751088 cross_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 3 finished [worker-1]: I0325 00:22:20.461222 281472881751088 failure_handler_test.py:195] epoch 3 finished [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, 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implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 3 finished [worker-2]: I0325 00:22:20.312841 281472881751088 cross_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]: I0325 00:22:20.573328 281472881751088 cross_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]: I0325 00:22:20.461105 281472881751088 failure_handler_test.py:195] epoch 3 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]: I0325 00:22:21.221733 281472881751088 cross_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]: I0325 00:22:20.364655 281472881751088 cross_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]: I0325 00:22:20.468687 281472881751088 cross_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]: I0325 00:22:20.626224 281472881751088 cross_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]: I0325 00:22:21.280241 281472881751088 cross_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]: 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[worker-2]: INFO:tensorflow:epoch 3 finished [worker-1]: I0325 00:22:20.678616 281472881751088 cross_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]: I0325 00:22:20.461256 281472881751088 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]: I0325 00:22:20.573234 281472881751088 cross_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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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]: I0325 00:22:21.434288 281472881751088 failure_handler_test.py:195] epoch 4 finished [worker-1]: I0325 00:22:20.949460 281472881751088 cross_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]: I0325 00:22:20.520434 281472881751088 cross_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 = 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= 1 [worker-2]: I0325 00:22:20.729235 281472881751088 cross_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]: I0325 00:22:21.110176 281472881751088 cross_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-2]: I0325 00:22:20.894158 281472881751088 cross_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]: I0325 00:22:21.610790 281472881751088 cross_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]: I0325 00:22:21.163686 281472881751088 cross_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-2]: I0325 00:22:20.949443 281472881751088 cross_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]: I0325 00:22:21.663218 281472881751088 cross_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]: I0325 00:22:21.224323 281472881751088 cross_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]: I0325 00:22:21.715856 281472881751088 cross_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]: I0325 00:22:21.281213 281472881751088 cross_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]: I0325 00:22:21.768189 281472881751088 cross_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]: I0325 00:22:21.333673 281472881751088 cross_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]: I0325 00:22:21.821253 281472881751088 cross_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]: I0325 00:22:21.387780 281472881751088 cross_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-1]: INFO:tensorflow:epoch 4 finished [worker-0]: I0325 00:22:20.626179 281472881751088 cross_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]: I0325 00:22:21.879383 281472881751088 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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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]: I0325 00:22:21.003241 281472881751088 cross_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]: I0325 00:22:22.113010 281472881751088 cross_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]: I0325 00:22:21.611478 281472881751088 cross_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 = 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CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0325 00:22:21.716203 281472881751088 cross_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 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]: 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]: I0325 00:22:22.262414 281472881751088 failure_handler_test.py:195] epoch 5 finished [worker-0]: I0325 00:22:21.162796 281472881751088 cross_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]: I0325 00:22:21.768153 281472881751088 cross_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]: I0325 00:22:21.003101 281472881751088 cross_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 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= 1 [worker-0]: I0325 00:22:21.387516 281472881751088 cross_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]: I0325 00:22:22.555805 281472881751088 cross_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]: I0325 00:22:22.165590 281472881751088 cross_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 4 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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0325 00:22:21.434419 281472881751088 failure_handler_test.py:195] epoch 4 finished [worker-2]: I0325 00:22:21.387785 281472881751088 cross_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]: I0325 00:22:22.217818 281472881751088 cross_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:epoch 4 finished [worker-1]: INFO:tensorflow:epoch 5 finished [worker-0]: I0325 00:22:21.441949 281472881751088 cross_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]: I0325 00:22:21.434648 281472881751088 failure_handler_test.py:195] epoch 4 finished [worker-3]: I0325 00:22:22.610471 281472881751088 cross_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]: I0325 00:22:22.262735 281472881751088 failure_handler_test.py:195] 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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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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-1]: I0325 00:22:22.325446 281472881751088 cross_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]: I0325 00:22:21.552703 281472881751088 cross_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 = 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= 1 [worker-0]: I0325 00:22:21.611554 281472881751088 cross_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]: I0325 00:22:22.776565 281472881751088 cross_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]: I0325 00:22:22.442541 281472881751088 cross_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]: I0325 00:22:21.663343 281472881751088 cross_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]: I0325 00:22:22.831437 281472881751088 cross_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]: I0325 00:22:22.500814 281472881751088 cross_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]: I0325 00:22:21.716526 281472881751088 cross_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]: I0325 00:22:22.885611 281472881751088 cross_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-0]: I0325 00:22:21.767842 281472881751088 cross_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]: I0325 00:22:22.940463 281472881751088 cross_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]: I0325 00:22:22.556656 281472881751088 cross_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]: I0325 00:22:21.821449 281472881751088 cross_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]: I0325 00:22:22.994708 281472881751088 cross_device_ops.py:1154] Collective 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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:epoch 6 finished [worker-0]: I0325 00:22:21.938117 281472881751088 cross_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]: I0325 00:22:23.096267 281472881751088 failure_handler_test.py:195] 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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0325 00:22:21.996165 281472881751088 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 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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]: I0325 00:22:23.213685 281472881751088 cross_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]: I0325 00:22:22.665779 281472881751088 cross_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 = 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[worker-3]: I0325 00:22:23.902013 281472881751088 failure_handler_test.py:195] epoch 7 finished [worker-2]: I0325 00:22:22.262771 281472881751088 failure_handler_test.py:195] epoch 5 finished [worker-1]: I0325 00:22:23.378204 281472881751088 cross_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:Training finished. 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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]: I0325 00:22:22.217649 281472881751088 cross_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]: I0325 00:22:23.857227 281472881751088 cross_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 5 finished [worker-1]: INFO:tensorflow:epoch 7 finished [worker-0]: I0325 00:22:22.262565 281472881751088 failure_handler_test.py:195] epoch 5 finished [worker-1]: I0325 00:22:23.902326 281472881751088 failure_handler_test.py:195] epoch 7 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:Training finished. [worker-1]: I0325 00:22:23.903300 281472881751088 failure_handler_test.py:245] Training finished. [worker-0]: I0325 00:22:22.270037 281472881751088 cross_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]: I0325 00:22:22.324050 281472881751088 cross_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]: I0325 00:22:22.381716 281472881751088 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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CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0325 00:22:23.857066 281472881751088 cross_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-2]: I0325 00:22:23.902378 281472881751088 failure_handler_test.py:195] epoch 7 finished [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0325 00:22:23.903427 281472881751088 failure_handler_test.py:245] Training finished. ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu (shard 1 of 3): Running tests under Python 3.12.0: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test_cpu.runfiles/python_aarch64-unknown-linux-gnu/bin/python3 [ RUN ] MatrixTriangularSolveOpTest.testEmpty INFO:tensorflow:time(__main__.MatrixTriangularSolveOpTest.testEmpty): 0.25s I0325 00:27:27.401757 281473693545520 test_util.py:2634] time(__main__.MatrixTriangularSolveOpTest.testEmpty): 0.25s [ OK ] MatrixTriangularSolveOpTest.testEmpty [ RUN ] MatrixTriangularSolveOpTest.testSolve WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. W0325 00:27:27.409130 281473693545520 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. 2024-03-25 00:27:27.414672: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:388] MLIR V1 optimization pass is not enabled INFO:tensorflow:time(__main__.MatrixTriangularSolveOpTest.testSolve): 1.27s I0325 00:27:28.669578 281473693545520 test_util.py:2634] time(__main__.MatrixTriangularSolveOpTest.testSolve): 1.27s [ OK ] MatrixTriangularSolveOpTest.testSolve [ RUN ] MatrixTriangularSolveOpTest.testSolveBatchBroadcastLargerBatches -- Test timed out at 2024-03-25 00:42:23 UTC -- Current thread 0x0000ffffb3847430 (most recent call first): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test_cpu.runfiles/pypi_numpy/site-packages/numpy/linalg/linalg.py", line 409 in solve File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test.py", line 89 in _verifySolve File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test.py", line 31 in _verifySolveAllWays File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test.py", line 41 in _verifySolveAllWaysReal File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test.py", line 173 in testSolveBatchBroadcastLargerBatches File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1858 in decorated File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/unittest/case.py", line 589 in _callTestMethod File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/unittest/case.py", line 634 in run File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/unittest/case.py", line 690 in __call__ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/unittest/suite.py", line 122 in run File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/unittest/suite.py", line 84 in __call__ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.12/unittest/suite.py", line 122 in run File 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//tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 26.8s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 38.7s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 14.8s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 19.7s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 38.3s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 27.8s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 26.7s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 19.7s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 21.7s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 26.7s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 13.3s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 12.7s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 20.0s //tensorflow/compiler/tests:tensor_float_32_test_cpu PASSED in 18.6s //tensorflow/compiler/tests:tensor_float_32_test_cpu_mlir_bridge_test PASSED in 19.5s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 20.7s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 28.6s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 18.0s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 17.8s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 18.2s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 18.3s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 36.8s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 25.5s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 18.8s //tensorflow/compiler/tests:while_test_cpu PASSED in 14.1s //tensorflow/compiler/tests:xla_call_module_no_platform_check_test_cpu PASSED in 26.1s //tensorflow/compiler/tests:xla_call_module_no_shape_assertions_check_test_cpu PASSED in 16.1s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 22.7s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 12.4s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 16.9s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 28.5s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 18.6s //tensorflow/compiler/tests:xla_dump_to_test_cpu PASSED in 12.6s //tensorflow/compiler/tests:xla_dump_to_test_cpu_mlir_bridge_test PASSED in 19.5s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 45.0s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 47.2s //tensorflow/compiler/tests:xla_test_test PASSED in 17.2s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 5.3s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.1s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.9s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 0.9s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 25.4s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 5.2s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.4s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 5.2s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 1.8s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.8s //tensorflow/compiler/tf2xla:tf2xla_opset_test PASSED in 9.1s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 17.0s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 0.8s //tensorflow/compiler/tf2xla:type_util_test PASSED in 0.4s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 17.3s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 16.2s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 5.4s //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 0.3s //tensorflow/core:__tensorflow_core_lib_core_legacy_lib_core_all_tests PASSED in 6.7s //tensorflow/core:__tensorflow_core_lib_gtl_legacy_lib_gtl_tests PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_cell_reader_test PASSED in 28.0s //tensorflow/core:__tensorflow_core_lib_monitoring_collection_registry_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_counter_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_gauge_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_metric_def_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_percentile_sampler_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_sampler_test PASSED in 0.1s //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 1.4s //tensorflow/core:lib_strings_proto_serialization_test PASSED in 0.1s //tensorflow/core/api_def:api_test PASSED in 2.3s //tensorflow/core/api_def:update_api_def_test PASSED in 0.1s //tensorflow/core/common_runtime:all_to_all_test_cpu PASSED in 0.7s //tensorflow/core/common_runtime:arg_ret_placement_test PASSED in 0.6s //tensorflow/core/common_runtime:buf_rendezvous_test PASSED in 1.1s //tensorflow/core/common_runtime:collective_executor_mgr_test PASSED in 1.1s //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:colocate_predecessor_trees_pass_test PASSED in 1.1s //tensorflow/core/common_runtime:composite_device_test PASSED in 0.6s //tensorflow/core/common_runtime:cost_measurement_registry_test PASSED in 1.5s //tensorflow/core/common_runtime:cost_util_test PASSED in 0.1s //tensorflow/core/common_runtime:device_mgr_test PASSED in 0.8s //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 1.1s //tensorflow/core/common_runtime:direct_session_test_cpu PASSED in 1.7s //tensorflow/core/common_runtime:direct_session_with_debug_test PASSED in 1.9s //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 0.5s //tensorflow/core/common_runtime:executor_test PASSED in 1.4s //tensorflow/core/common_runtime:function_optimization_registration_test PASSED in 0.9s //tensorflow/core/common_runtime:function_optimization_registry_no_pass_test PASSED in 1.0s //tensorflow/core/common_runtime:function_optimization_registry_pass_failure_test PASSED in 0.9s //tensorflow/core/common_runtime:function_optimization_registry_test PASSED in 1.0s //tensorflow/core/common_runtime:function_threadpool_test PASSED in 0.8s //tensorflow/core/common_runtime:graph_constructor_test PASSED in 2.2s //tensorflow/core/common_runtime:graph_runner_test PASSED in 0.8s //tensorflow/core/common_runtime:hierarchical_tree_broadcaster_test_cpu PASSED in 2.9s //tensorflow/core/common_runtime:inline_function_utils_test PASSED in 0.5s //tensorflow/core/common_runtime:input_colocation_exemption_registry_test PASSED in 0.4s //tensorflow/core/common_runtime:int32_fulltype_test PASSED in 0.5s //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 2.0s //tensorflow/core/common_runtime:lower_function_call_test PASSED in 1.9s //tensorflow/core/common_runtime:lower_functional_ops_test PASSED in 2.0s //tensorflow/core/common_runtime:lower_if_op_test PASSED in 2.0s //tensorflow/core/common_runtime:lower_while_op_test PASSED in 2.0s //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 0.1s //tensorflow/core/common_runtime:optimization_registry_test PASSED in 1.0s //tensorflow/core/common_runtime:optimize_cross_host_control_deps_test PASSED in 5.2s //tensorflow/core/common_runtime:optimize_function_graph_utils_test PASSED in 0.6s //tensorflow/core/common_runtime:partitioning_utils_test PASSED in 0.5s //tensorflow/core/common_runtime:pending_counts_test PASSED in 1.0s //tensorflow/core/common_runtime:permuter_test_cpu PASSED in 2.9s //tensorflow/core/common_runtime:placer_inspection_required_ops_utils_test PASSED in 1.0s //tensorflow/core/common_runtime:placer_test PASSED in 0.9s //tensorflow/core/common_runtime:process_function_library_runtime_test_cpu PASSED in 0.5s //tensorflow/core/common_runtime:process_util_test PASSED in 0.1s //tensorflow/core/common_runtime:quantize_training_test PASSED in 2.1s //tensorflow/core/common_runtime:rendezvous_util_test PASSED in 0.1s //tensorflow/core/common_runtime:replicate_constants_pass_test PASSED in 0.9s //tensorflow/core/common_runtime:replicate_per_replica_nodes_test PASSED in 0.5s //tensorflow/core/common_runtime:request_cost_accessor_registry_test PASSED in 1.8s //tensorflow/core/common_runtime:request_cost_test PASSED in 0.1s //tensorflow/core/common_runtime:ring_gatherer_test_cpu PASSED in 1.8s //tensorflow/core/common_runtime:ring_reducer_test_cpu PASSED in 4.5s //tensorflow/core/common_runtime:scoped_allocator_mgr_test PASSED in 3.1s //tensorflow/core/common_runtime:session_test PASSED in 0.8s //tensorflow/core/common_runtime:shape_refiner_test PASSED in 0.6s //tensorflow/core/common_runtime:single_threaded_executor_test PASSED in 0.7s //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 31.4s //tensorflow/core/common_runtime/eager:context_test PASSED in 12.9s //tensorflow/core/common_runtime/eager:custom_device_test PASSED in 11.1s //tensorflow/core/common_runtime/eager:eager_executor_test PASSED in 11.9s //tensorflow/core/common_runtime/eager:eager_op_rewrite_registry_test PASSED in 0.9s //tensorflow/core/common_runtime/eager:eager_operation_test PASSED in 11.1s //tensorflow/core/common_runtime/eager:execute_node_test PASSED in 11.6s //tensorflow/core/common_runtime/eager:execute_test PASSED in 26.3s //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 11.8s //tensorflow/core/common_runtime/eager:placement_test PASSED in 11.1s //tensorflow/core/common_runtime/eager:placement_utils_test PASSED in 11.4s //tensorflow/core/common_runtime/eager:summary_optimizer_test PASSED in 0.1s //tensorflow/core/common_runtime/eager:tensor_handle_data_test PASSED in 11.0s //tensorflow/core/common_runtime/eager:tensor_handle_test PASSED in 11.2s //tensorflow/core/common_runtime/gpu:gpu_device_on_non_gpu_machine_test PASSED in 0.1s //tensorflow/core/common_runtime/gpu:gpu_serving_device_selector_test PASSED in 0.1s //tensorflow/core/common_runtime/next_pluggable_device:c_plugin_coordination_service_agent_test PASSED in 5.0s //tensorflow/core/common_runtime/next_pluggable_device/c:plugin_c_api_test PASSED in 31.3s //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 10.1s //tensorflow/core/config:flags_test PASSED in 0.1s //tensorflow/core/data:compression_utils_test PASSED in 1.7s //tensorflow/core/data:dataset_utils_test PASSED in 0.6s //tensorflow/core/data:hash_utils_test PASSED in 0.8s //tensorflow/core/data:metric_utils_test PASSED in 5.6s //tensorflow/core/data:name_utils_test PASSED in 0.1s //tensorflow/core/data:rewrite_utils_test PASSED in 0.6s //tensorflow/core/data:serialization_utils_test PASSED in 0.5s //tensorflow/core/data:snapshot_utils_test PASSED in 0.7s //tensorflow/core/data:split_utils_test PASSED in 0.5s //tensorflow/core/data:standalone_save_restore_test PASSED in 1.4s //tensorflow/core/data:standalone_test PASSED in 4.3s //tensorflow/core/data:tfdataz_metrics_test PASSED in 1.7s //tensorflow/core/data:unbounded_thread_pool_test PASSED in 0.4s //tensorflow/core/data:utils_test PASSED in 0.1s //tensorflow/core/data/service:auto_scaler_test PASSED in 0.1s //tensorflow/core/data/service:byte_size_test PASSED in 0.1s //tensorflow/core/data/service:common_test PASSED in 0.1s //tensorflow/core/data/service:credentials_factory_test PASSED in 0.6s //tensorflow/core/data/service:cross_trainer_cache_test PASSED in 1.3s //tensorflow/core/data/service:data_service_test PASSED in 9.0s //tensorflow/core/data/service:data_transfer_test PASSED in 0.5s //tensorflow/core/data/service:dataset_store_test PASSED in 0.8s //tensorflow/core/data/service:dispatcher_client_test PASSED in 2.4s //tensorflow/core/data/service:dispatcher_state_test PASSED in 0.5s //tensorflow/core/data/service:graph_rewriters_test PASSED in 0.7s //tensorflow/core/data/service:grpc_dispatcher_impl_test PASSED in 1.8s //tensorflow/core/data/service:grpc_util_test PASSED in 0.6s //tensorflow/core/data/service:grpc_worker_impl_test PASSED in 1.8s //tensorflow/core/data/service:journal_test PASSED in 0.5s //tensorflow/core/data/service:split_provider_test PASSED in 1.8s //tensorflow/core/data/service:task_runner_test PASSED in 2.5s //tensorflow/core/data/service:test_util_test PASSED in 1.4s //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 2.1s //tensorflow/core/data/service:worker_impl_test PASSED in 1.9s //tensorflow/core/data/service/client:data_service_client_test PASSED in 2.6s //tensorflow/core/data/service/client:utils_test PASSED in 2.0s //tensorflow/core/data/service/client:validate_utils_test PASSED in 1.5s //tensorflow/core/data/service/snapshot:distributed_snapshot_test PASSED in 16.7s //tensorflow/core/data/service/snapshot:file_utils_test PASSED in 0.6s //tensorflow/core/data/service/snapshot:parallel_tfrecord_writer_test PASSED in 3.4s //tensorflow/core/data/service/snapshot:path_utils_test PASSED in 0.1s //tensorflow/core/data/service/snapshot:prefetched_split_provider_test PASSED in 14.4s //tensorflow/core/data/service/snapshot:snapshot_chunk_provider_test PASSED in 0.6s //tensorflow/core/data/service/snapshot:snapshot_manager_test PASSED in 1.8s //tensorflow/core/data/service/snapshot:snapshot_split_provider_test PASSED in 0.7s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test PASSED in 2.4s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_test PASSED in 1.7s //tensorflow/core/data/service/snapshot:utils_test PASSED in 0.1s //tensorflow/core/debug:debug_graph_utils_test PASSED in 0.4s //tensorflow/core/distributed_runtime:call_options_test PASSED in 0.1s //tensorflow/core/distributed_runtime:cluster_function_library_runtime_test PASSED in 3.8s //tensorflow/core/distributed_runtime:collective_param_resolver_distributed_test PASSED in 0.9s //tensorflow/core/distributed_runtime:collective_rma_distributed_test PASSED in 0.5s //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 0.4s //tensorflow/core/distributed_runtime:recent_request_ids_test PASSED in 0.1s //tensorflow/core/distributed_runtime:request_id_test PASSED in 0.1s //tensorflow/core/distributed_runtime:rpc_collective_executor_mgr_test PASSED in 0.4s //tensorflow/core/distributed_runtime:server_lib_test PASSED in 0.1s //tensorflow/core/distributed_runtime:session_mgr_test PASSED in 0.9s //tensorflow/core/distributed_runtime:tensor_coding_test PASSED in 0.1s //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 20.5s //tensorflow/core/distributed_runtime/eager:remote_mgr_test PASSED in 12.2s //tensorflow/core/distributed_runtime/integration_test:c_api_multi_client_test_cpu PASSED in 28.7s //tensorflow/core/distributed_runtime/integration_test:c_api_recoverable_jobs_test_cpu PASSED in 37.9s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 29.4s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 2.7s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 0.5s //tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client_test PASSED in 0.5s //tensorflow/core/example:example_parser_configuration_test PASSED in 0.9s //tensorflow/core/example:feature_util_test PASSED in 0.1s //tensorflow/core/framework:allocator_test PASSED in 4.1s //tensorflow/core/framework:attr_value_util_test PASSED in 0.7s //tensorflow/core/framework:batch_util_test PASSED in 0.7s //tensorflow/core/framework:bfloat16_test PASSED in 0.8s //tensorflow/core/framework:common_shape_fns_test PASSED in 0.8s //tensorflow/core/framework:dataset_test PASSED in 0.9s //tensorflow/core/framework:device_base_test PASSED in 0.8s //tensorflow/core/framework:disable_jit_test PASSED in 0.9s //tensorflow/core/framework:framework_op_gen_lib_test PASSED in 0.1s //tensorflow/core/framework:framework_op_segment_test PASSED in 0.9s //tensorflow/core/framework:framework_resource_var_test PASSED in 0.1s //tensorflow/core/framework:framework_run_handler_test PASSED in 1.4s //tensorflow/core/framework:framework_run_handler_util_test PASSED in 2.1s //tensorflow/core/framework:full_type_inference_util_test PASSED in 0.9s //tensorflow/core/framework:full_type_util_test PASSED in 0.9s //tensorflow/core/framework:function_test PASSED in 0.9s //tensorflow/core/framework:graph_def_util_test PASSED in 0.8s //tensorflow/core/framework:graph_to_functiondef_test PASSED in 0.9s //tensorflow/core/framework:kernel_def_builder_test PASSED in 0.8s 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//tensorflow/core/kernels:ops_testutil_test PASSED in 0.4s //tensorflow/core/kernels:ops_util_test PASSED in 0.2s //tensorflow/core/kernels:parameterized_truncated_normal_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:parse_tensor_test PASSED in 0.4s //tensorflow/core/kernels:quantization_utils_test PASSED in 0.6s //tensorflow/core/kernels:quantize_and_dequantize_op_test_cpu PASSED in 0.6s //tensorflow/core/kernels:quantize_down_and_shrink_range_op_test PASSED in 0.5s //tensorflow/core/kernels:quantize_op_test PASSED in 0.5s //tensorflow/core/kernels:quantized_activation_ops_test PASSED in 0.6s //tensorflow/core/kernels:quantized_add_op_test PASSED in 1.0s //tensorflow/core/kernels:quantized_batch_norm_op_test PASSED in 0.5s //tensorflow/core/kernels:quantized_bias_add_op_test PASSED in 0.5s //tensorflow/core/kernels:quantized_concat_op_test PASSED in 0.5s //tensorflow/core/kernels:quantized_conv_ops_test PASSED in 0.5s //tensorflow/core/kernels:quantized_instance_norm_test PASSED in 0.8s //tensorflow/core/kernels:quantized_matmul_op_test PASSED in 0.5s //tensorflow/core/kernels:quantized_mul_op_test PASSED in 0.9s //tensorflow/core/kernels:quantized_pooling_ops_test PASSED in 0.5s //tensorflow/core/kernels:quantized_reshape_op_test PASSED in 0.5s //tensorflow/core/kernels:quantized_resize_bilinear_op_test PASSED in 1.7s //tensorflow/core/kernels:ragged_fill_empty_rows_op_test PASSED in 0.5s //tensorflow/core/kernels:ragged_gather_op_test PASSED in 0.5s //tensorflow/core/kernels:ragged_range_op_test PASSED in 0.5s //tensorflow/core/kernels:ragged_tensor_from_variant_op_test PASSED in 0.5s //tensorflow/core/kernels:ragged_tensor_to_sparse_kernel_test PASSED in 0.5s //tensorflow/core/kernels:ragged_tensor_to_tensor_op_test PASSED in 0.5s //tensorflow/core/kernels:ragged_tensor_to_variant_op_test PASSED in 0.5s //tensorflow/core/kernels:random_binomial_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:random_index_shuffle_test PASSED in 0.2s //tensorflow/core/kernels:random_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:random_poisson_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:range_sampler_test PASSED in 0.3s //tensorflow/core/kernels:reduction_ops_test_cpu PASSED in 0.5s //tensorflow/core/kernels:regex_replace_op_test PASSED in 0.5s //tensorflow/core/kernels:requantization_range_op_test PASSED in 0.5s //tensorflow/core/kernels:requantize_op_test PASSED in 0.5s //tensorflow/core/kernels:resource_ops_test PASSED in 0.5s //tensorflow/core/kernels:restore_op_test PASSED in 0.5s //tensorflow/core/kernels:restore_v2_op_test PASSED in 0.5s //tensorflow/core/kernels:reverse_op_test PASSED in 0.5s //tensorflow/core/kernels:roll_op_test PASSED in 0.5s //tensorflow/core/kernels:save_op_test PASSED in 0.5s //tensorflow/core/kernels:save_v2_op_test PASSED in 0.5s //tensorflow/core/kernels:scan_ops_test_cpu PASSED in 0.4s //tensorflow/core/kernels:scatter_nd_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:scatter_op_test PASSED in 0.5s //tensorflow/core/kernels:scoped_allocator_ops_test_cpu PASSED in 5.3s //tensorflow/core/kernels:sdca_ops_test PASSED in 1.0s //tensorflow/core/kernels:segment_reduction_ops_test PASSED in 0.4s //tensorflow/core/kernels:sendrecv_ops_test PASSED in 0.4s //tensorflow/core/kernels:sequence_ops_test PASSED in 0.4s //tensorflow/core/kernels:shape_ops_test PASSED in 0.4s //tensorflow/core/kernels:slice_op_test PASSED in 0.4s //tensorflow/core/kernels:spacetobatch_benchmark_test_cpu PASSED in 0.4s //tensorflow/core/kernels:sparse_add_op_test PASSED in 0.5s //tensorflow/core/kernels:sparse_dense_binary_op_shared_test PASSED in 0.5s //tensorflow/core/kernels:sparse_fill_empty_rows_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:sparse_matmul_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:sparse_reduce_sum_op_test PASSED in 0.5s //tensorflow/core/kernels:sparse_tensor_dense_matmul_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:sparse_to_dense_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:sparse_utils_test PASSED in 0.3s //tensorflow/core/kernels:sparse_xent_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:spectrogram_op_test_cpu PASSED in 1.5s //tensorflow/core/kernels:spectrogram_test PASSED in 0.1s //tensorflow/core/kernels:split_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:split_v_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:strided_slice_op_test PASSED in 0.4s //tensorflow/core/kernels:string_format_op_test PASSED in 0.4s //tensorflow/core/kernels:string_ngrams_op_test PASSED in 0.4s //tensorflow/core/kernels:string_split_op_test PASSED in 0.4s //tensorflow/core/kernels:substr_op_test PASSED in 0.4s //tensorflow/core/kernels:summary_audio_op_test PASSED in 0.5s //tensorflow/core/kernels:summary_image_op_test PASSED in 0.5s //tensorflow/core/kernels:summary_op_test PASSED in 0.5s //tensorflow/core/kernels:summary_tensor_op_test PASSED in 0.5s 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//tensorflow/core/kernels/batching_util:input_split_metadata_test PASSED in 0.1s //tensorflow/core/kernels/batching_util:periodic_function_test PASSED in 1.5s //tensorflow/core/kernels/batching_util:serial_device_batch_scheduler_test PASSED in 1.3s //tensorflow/core/kernels/batching_util:shared_batch_scheduler_test PASSED in 6.6s //tensorflow/core/kernels/batching_util:threadsafe_status_test PASSED in 0.1s //tensorflow/core/kernels/data:batch_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:cache_dataset_ops_test PASSED in 0.6s //tensorflow/core/kernels/data:concatenate_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:filter_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:finalize_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:fixed_length_record_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:flat_map_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:get_options_op_test PASSED in 0.4s 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0.6s //tensorflow/core/kernels/data:reduce_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:repeat_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:rewrite_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:shard_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:shuffle_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:skip_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:sparse_tensor_slice_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:take_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:tensor_dataset_op_test PASSED in 0.5s //tensorflow/core/kernels/data:tensor_slice_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:text_line_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:tf_record_dataset_op_test PASSED in 1.6s //tensorflow/core/kernels/data:window_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:zip_dataset_op_test PASSED in 0.6s 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//tensorflow/core/kernels/image:resize_ops_test_cpu PASSED in 1.9s //tensorflow/core/kernels/image:sampling_kernels_test PASSED in 0.4s //tensorflow/core/kernels/image:scale_and_translate_op_test PASSED in 1.5s //tensorflow/core/kernels/linalg:banded_triangular_solve_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels/linalg:matrix_triangular_solve_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels/mkl:mkl_conv_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_dequantize_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_fused_batch_norm_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_fused_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_matmul_op_benchmark PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_qmatmul_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_quantize_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_quantized_concat_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_quantized_conv_ops_perchannel_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_quantized_conv_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_quantized_pooling_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_relu_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_requantize_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_sparse_matrix_matmul_op_benchmark PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_swish_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:onednn_nn_ops_benchmark PASSED in 0.1s //tensorflow/core/kernels/sparse:kernels_test PASSED in 0.4s //tensorflow/core/kernels/uniform_quant_ops:math_utils_test PASSED in 0.1s //tensorflow/core/kernels/uniform_quant_ops:tensor_utils_test PASSED in 0.1s //tensorflow/core/kernels/uniform_quant_ops:uniform_dequantize_op_test PASSED in 0.4s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantize_op_test PASSED in 0.4s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_add_op_test PASSED in 0.4s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_clip_by_value_op_test PASSED in 0.4s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_convolution_ops_test PASSED in 0.4s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_dot_ops_test PASSED in 0.4s //tensorflow/core/kernels/uniform_quant_ops:uniform_requantize_op_test PASSED in 0.4s //tensorflow/core/lib/db:sqlite_test PASSED in 0.1s //tensorflow/core/lib/gif:lib_gif_io_test PASSED in 0.9s //tensorflow/core/lib/jpeg:lib_jpeg_jpeg_mem_unittest PASSED in 0.5s //tensorflow/core/ops:cudnn_rnn_ops_test_cc PASSED in 0.4s //tensorflow/core/ops:ops_array_grad_test PASSED in 1.0s //tensorflow/core/ops:ops_math_grad_test PASSED in 2.9s //tensorflow/core/ops:ops_tests PASSED in 0.5s //tensorflow/core/ops/compat:backwards_compatibility_test PASSED in 0.4s //tensorflow/core/platform:enable_tf2_utils_test PASSED in 0.1s //tensorflow/core/platform:env_test PASSED in 2.2s 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7.1s, avg = 10.7s, dev = 3.6s //tensorflow/python/kernel_tests/nn_ops:atrous_conv2d_test_cpu PASSED in 29.6s Stats over 2 runs: max = 29.6s, min = 28.9s, avg = 29.3s, dev = 0.3s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 136.9s Stats over 2 runs: max = 136.9s, min = 46.5s, avg = 91.7s, dev = 45.2s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 27.5s Stats over 2 runs: max = 27.5s, min = 18.4s, avg = 22.9s, dev = 4.6s //tensorflow/python/kernel_tests/signal:fft_ops_test_cpu PASSED in 130.6s Stats over 2 runs: max = 130.6s, min = 114.5s, avg = 122.5s, dev = 8.0s //tensorflow/python/ops:control_flow_ops_test_cpu PASSED in 57.1s Stats over 2 runs: max = 57.1s, min = 31.6s, avg = 44.4s, dev = 12.8s //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 14.5s Stats over 3 runs: max = 14.5s, min = 7.6s, avg = 10.0s, dev = 3.2s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 17.1s Stats over 3 runs: max = 17.1s, min = 10.5s, avg = 13.8s, dev = 2.7s //tensorflow/core/data/service:thread_safe_buffer_test PASSED in 0.1s Stats over 3 runs: max = 0.1s, min = 0.1s, avg = 0.1s, dev = 0.0s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 29.5s Stats over 3 runs: max = 29.5s, min = 15.2s, avg = 21.0s, dev = 6.1s //tensorflow/python/data/kernel_tests:unique_test PASSED in 41.2s Stats over 3 runs: max = 41.2s, min = 19.4s, avg = 27.5s, dev = 9.8s //tensorflow/python/distribute/coordinator:metric_utils_test PASSED in 43.6s Stats over 3 runs: max = 43.6s, min = 22.4s, avg = 32.4s, dev = 8.7s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 85.4s Stats over 3 runs: max = 85.4s, min = 29.0s, avg = 50.6s, dev = 24.8s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 21.3s Stats over 3 runs: max = 21.3s, min = 6.3s, avg = 11.4s, dev = 7.0s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 17.9s Stats over 3 runs: max = 17.9s, min = 9.1s, avg = 12.6s, dev = 3.8s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 16.7s Stats over 3 runs: max = 16.7s, min = 6.6s, avg = 10.1s, dev = 4.6s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 17.3s Stats over 3 runs: max = 17.3s, min = 7.4s, avg = 10.9s, dev = 4.5s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 0.4s Stats over 4 runs: max = 0.4s, min = 0.4s, avg = 0.4s, dev = 0.0s //tensorflow/dtensor/python/tests:batchparallel_spmd_test_cpu PASSED in 15.6s Stats over 4 runs: max = 15.6s, min = 8.2s, avg = 10.6s, dev = 3.0s //tensorflow/dtensor/python/tests:conv_test_cpu PASSED in 11.3s Stats over 4 runs: max = 11.3s, min = 5.8s, avg = 7.3s, dev = 2.3s //tensorflow/dtensor/python/tests:sparse_test_cpu PASSED in 12.3s Stats over 4 runs: max = 12.3s, min = 5.4s, avg = 7.7s, dev = 2.8s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 52.1s Stats over 4 runs: max = 52.1s, min = 25.6s, avg = 40.5s, dev = 9.5s //tensorflow/python/data/experimental/kernel_tests:from_list_test PASSED in 67.8s Stats over 4 runs: max = 67.8s, min = 51.6s, avg = 62.1s, dev = 6.5s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 68.8s Stats over 4 runs: max = 68.8s, min = 37.6s, avg = 50.7s, dev = 11.7s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 45.0s Stats over 4 runs: max = 45.0s, min = 15.0s, avg = 32.5s, dev = 12.5s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 35.4s Stats over 4 runs: max = 35.4s, min = 10.7s, avg = 20.7s, dev = 9.1s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 67.2s Stats over 4 runs: max = 67.2s, min = 47.2s, avg = 55.8s, dev = 8.4s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 20.5s Stats over 4 runs: max = 20.5s, min = 5.4s, avg = 13.3s, dev = 5.4s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 34.8s Stats over 4 runs: max = 34.8s, min = 13.1s, avg = 25.1s, dev = 7.8s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 57.5s Stats over 4 runs: max = 57.5s, min = 21.7s, avg = 34.3s, dev = 13.7s //tensorflow/python/data/kernel_tests:from_tensor_slices_test PASSED in 162.1s Stats over 4 runs: max = 162.1s, min = 49.1s, avg = 93.7s, dev = 45.3s //tensorflow/python/data/kernel_tests:from_tensors_test PASSED in 127.0s Stats over 4 runs: max = 127.0s, min = 63.5s, avg = 94.2s, dev = 28.1s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 61.7s Stats over 4 runs: max = 61.7s, min = 15.1s, avg = 41.2s, dev = 16.9s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 58.9s Stats over 4 runs: max = 58.9s, min = 22.1s, avg = 31.8s, dev = 15.7s //tensorflow/python/data/kernel_tests:take_test PASSED in 140.0s Stats over 4 runs: max = 140.0s, min = 106.5s, avg = 122.9s, dev = 12.6s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 68.7s Stats over 4 runs: max = 68.7s, min = 50.6s, avg = 59.0s, dev = 6.8s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 57.3s Stats over 4 runs: max = 57.3s, min = 38.2s, avg = 46.3s, dev = 7.9s //tensorflow/python/data/kernel_tests:zip_test PASSED in 36.4s Stats over 4 runs: max = 36.4s, min = 16.5s, avg = 23.3s, dev = 7.7s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 32.2s Stats over 4 runs: max = 32.2s, min = 15.3s, avg = 20.1s, dev = 7.0s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 48.3s Stats over 4 runs: max = 48.3s, min = 29.2s, avg = 37.0s, dev = 7.3s //tensorflow/python/framework:convert_to_constants_test PASSED in 27.2s Stats over 4 runs: max = 27.2s, min = 11.3s, avg = 18.2s, dev = 6.0s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 42.0s Stats over 4 runs: max = 42.0s, min = 32.5s, avg = 37.7s, dev = 3.8s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 25.3s Stats over 4 runs: max = 25.3s, min = 12.9s, avg = 19.2s, dev = 4.6s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 78.4s Stats over 4 runs: max = 78.4s, min = 12.6s, avg = 48.1s, dev = 28.5s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 37.3s Stats over 4 runs: max = 37.3s, min = 5.3s, avg = 21.5s, dev = 12.6s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 87.6s Stats over 4 runs: max = 87.6s, min = 10.8s, avg = 44.7s, dev = 29.7s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 50.0s Stats over 4 runs: max = 50.0s, min = 40.5s, avg = 45.0s, dev = 3.4s //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu PASSED in 33.2s Stats over 4 runs: max = 33.2s, min = 22.3s, avg = 29.7s, dev = 4.4s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 138.5s Stats over 4 runs: max = 138.5s, min = 6.7s, avg = 63.1s, dev = 57.6s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 29.7s Stats over 4 runs: max = 29.7s, min = 18.8s, avg = 24.4s, dev = 5.1s //tensorflow/python/ops:nn_batchnorm_test_cpu PASSED in 49.1s Stats over 4 runs: max = 49.1s, min = 14.3s, avg = 23.6s, dev = 14.8s //tensorflow/python/ops:nn_fused_batchnorm_d9m_test_cpu PASSED in 39.6s Stats over 4 runs: max = 39.6s, min = 13.9s, avg = 22.1s, dev = 10.3s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 73.8s Stats over 4 runs: max = 73.8s, min = 19.1s, avg = 44.1s, dev = 19.7s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 47.9s Stats over 4 runs: max = 47.9s, min = 41.5s, avg = 44.7s, dev = 2.4s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu FLAKY, failed in 1 out of 4 in 900.2s Stats over 4 runs: max = 900.2s, min = 5.1s, avg = 272.8s, dev = 368.1s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/kernel_tests/linalg/matrix_triangular_solve_op_test_cpu/shard_1_of_3/test_attempts/attempt_1.log //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 21.6s Stats over 5 runs: max = 21.6s, min = 6.2s, avg = 10.4s, dev = 5.9s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 25.6s Stats over 5 runs: max = 25.6s, min = 5.8s, avg = 11.3s, dev = 7.4s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 18.6s Stats over 5 runs: max = 18.6s, min = 6.9s, avg = 11.1s, dev = 4.3s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 19.8s Stats over 5 runs: max = 19.8s, min = 6.2s, avg = 11.2s, dev = 4.8s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 18.7s Stats over 5 runs: max = 18.7s, min = 5.8s, avg = 9.8s, dev = 5.1s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 19.3s Stats over 5 runs: max = 19.3s, min = 6.0s, avg = 10.8s, dev = 5.8s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 15.5s Stats over 5 runs: max = 15.5s, min = 6.9s, avg = 9.0s, dev = 3.3s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 22.1s Stats over 5 runs: max = 22.1s, min = 7.6s, avg = 15.0s, dev = 6.2s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 141.4s Stats over 5 runs: max = 141.4s, min = 28.9s, avg = 63.8s, dev = 40.6s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 155.5s Stats over 5 runs: max = 155.5s, min = 28.8s, avg = 69.3s, dev = 45.4s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 2.3s Stats over 5 runs: max = 2.3s, min = 1.5s, avg = 1.8s, dev = 0.3s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 11.2s Stats over 5 runs: max = 11.2s, min = 4.8s, avg = 6.3s, dev = 2.5s //tensorflow/dtensor/python/tests:multi_mesh_test_cpu PASSED in 10.9s Stats over 5 runs: max = 10.9s, min = 4.2s, avg = 6.1s, dev = 2.5s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 28.2s Stats over 5 runs: max = 28.2s, min = 7.1s, avg = 13.6s, dev = 7.4s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 30.5s Stats over 5 runs: max = 30.5s, min = 8.4s, avg = 15.0s, dev = 8.0s //tensorflow/python/eager:device_placement_test_cpu PASSED in 13.7s Stats over 5 runs: max = 13.7s, min = 5.9s, avg = 9.2s, dev = 3.1s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 114.0s Stats over 5 runs: max = 114.0s, min = 13.1s, avg = 55.4s, dev = 36.2s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 24.9s Stats over 5 runs: max = 24.9s, min = 9.1s, avg = 14.3s, dev = 5.6s //tensorflow/python/grappler:cluster_test_cpu PASSED in 19.2s Stats over 5 runs: max = 19.2s, min = 4.2s, avg = 7.6s, dev = 5.8s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 62.2s Stats over 5 runs: max = 62.2s, min = 40.7s, avg = 49.6s, dev = 7.6s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 54.8s Stats over 5 runs: max = 54.8s, min = 40.8s, avg = 46.8s, dev = 5.1s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 132.8s Stats over 5 runs: max = 132.8s, min = 88.1s, avg = 107.8s, dev = 14.8s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 44.2s Stats over 5 runs: max = 44.2s, min = 34.3s, avg = 37.1s, dev = 3.6s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 76.9s Stats over 5 runs: max = 76.9s, min = 54.1s, avg = 60.7s, dev = 8.6s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 50.5s Stats over 5 runs: max = 50.5s, min = 38.6s, avg = 44.6s, dev = 4.7s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 102.0s Stats over 5 runs: max = 102.0s, min = 62.3s, avg = 81.6s, dev = 14.5s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 64.3s Stats over 5 runs: max = 64.3s, min = 38.9s, avg = 49.6s, dev = 8.8s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 47.6s Stats over 5 runs: max = 47.6s, min = 30.8s, avg = 37.5s, dev = 6.3s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 69.4s Stats over 5 runs: max = 69.4s, min = 41.4s, avg = 50.8s, dev = 10.1s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 12.8s Stats over 5 runs: max = 12.8s, min = 4.0s, avg = 6.2s, dev = 3.3s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 46.8s Stats over 5 runs: max = 46.8s, min = 35.7s, avg = 39.7s, dev = 3.9s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 174.9s Stats over 5 runs: max = 174.9s, min = 5.0s, avg = 41.7s, dev = 66.7s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 12.9s Stats over 5 runs: max = 12.9s, min = 5.2s, avg = 8.7s, dev = 3.1s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 13.1s Stats over 5 runs: max = 13.1s, min = 4.3s, avg = 8.1s, dev = 3.8s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 38.2s Stats over 5 runs: max = 38.2s, min = 5.9s, avg = 15.2s, dev = 12.1s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 89.4s Stats over 5 runs: max = 89.4s, min = 30.2s, avg = 61.1s, dev = 19.1s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 25.1s Stats over 6 runs: max = 25.1s, min = 9.0s, avg = 13.7s, dev = 5.3s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 26.8s Stats over 6 runs: max = 26.8s, min = 9.2s, avg = 17.5s, dev = 6.7s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 43.3s Stats over 6 runs: max = 43.3s, min = 5.0s, avg = 21.5s, dev = 15.7s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 94.4s Stats over 6 runs: max = 94.4s, min = 8.1s, avg = 28.4s, dev = 30.1s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 66.5s Stats over 6 runs: max = 66.5s, min = 32.6s, avg = 48.0s, dev = 11.0s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 31.9s Stats over 7 runs: max = 31.9s, min = 5.9s, avg = 13.9s, dev = 8.9s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 15.1s Stats over 8 runs: max = 15.1s, min = 5.2s, avg = 7.2s, dev = 3.0s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 94.2s Stats over 8 runs: max = 94.2s, min = 4.8s, avg = 31.9s, dev = 29.9s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 55.6s Stats over 8 runs: max = 55.6s, min = 4.6s, avg = 25.1s, dev = 19.4s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 18.2s Stats over 8 runs: max = 18.2s, min = 5.2s, avg = 9.5s, dev = 4.2s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 23.5s Stats over 8 runs: max = 23.5s, min = 5.1s, avg = 11.0s, dev = 6.1s //tensorflow/dtensor/python/tests:input_util_test PASSED in 26.2s Stats over 8 runs: max = 26.2s, min = 18.1s, avg = 22.6s, dev = 2.8s //tensorflow/dtensor/python/tests:save_restore_v2_test_cpu PASSED in 11.6s Stats over 8 runs: max = 11.6s, min = 4.9s, avg = 6.9s, dev = 2.3s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 48.9s Stats over 8 runs: max = 48.9s, min = 7.5s, avg = 22.7s, dev = 15.6s //tensorflow/python/data/experimental/kernel_tests:global_shuffle_test PASSED in 48.4s Stats over 8 runs: max = 48.4s, min = 29.4s, avg = 38.7s, dev = 6.5s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 61.7s Stats over 8 runs: max = 61.7s, min = 17.5s, avg = 36.4s, dev = 13.7s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 47.9s Stats over 8 runs: max = 47.9s, min = 6.1s, avg = 22.0s, dev = 15.3s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 25.2s Stats over 8 runs: max = 25.2s, min = 7.6s, avg = 13.5s, dev = 7.0s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 45.0s Stats over 8 runs: max = 45.0s, min = 6.1s, avg = 20.9s, dev = 15.0s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_load_ft_test PASSED in 106.8s Stats over 8 runs: max = 106.8s, min = 44.5s, avg = 66.5s, dev = 18.0s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_load_test PASSED in 269.6s Stats over 8 runs: max = 269.6s, min = 163.6s, avg = 197.5s, dev = 36.1s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_test PASSED in 150.6s Stats over 8 runs: max = 150.6s, min = 36.4s, avg = 91.9s, dev = 42.3s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 22.5s Stats over 8 runs: max = 22.5s, min = 6.3s, avg = 13.0s, dev = 6.4s //tensorflow/python/data/kernel_tests:batch_test PASSED in 125.0s Stats over 8 runs: max = 125.0s, min = 36.2s, avg = 67.2s, dev = 31.6s //tensorflow/python/data/kernel_tests:filter_test PASSED in 71.7s Stats over 8 runs: max = 71.7s, min = 26.2s, avg = 45.4s, dev = 17.5s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 110.7s Stats over 8 runs: max = 110.7s, min = 19.9s, avg = 44.7s, dev = 26.7s //tensorflow/python/data/kernel_tests:shard_test PASSED in 116.2s Stats over 8 runs: max = 116.2s, min = 59.4s, avg = 82.5s, dev = 16.9s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 127.0s Stats over 8 runs: max = 127.0s, min = 70.6s, avg = 87.4s, dev = 16.9s //tensorflow/python/data/kernel_tests:skip_test PASSED in 86.3s Stats over 8 runs: max = 86.3s, min = 50.5s, avg = 63.1s, dev = 11.8s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 53.4s Stats over 8 runs: max = 53.4s, min = 23.3s, avg = 33.4s, dev = 8.9s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 112.8s Stats over 8 runs: max = 112.8s, min = 8.6s, avg = 48.6s, dev = 35.5s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 52.7s Stats over 8 runs: max = 52.7s, min = 28.8s, avg = 44.4s, dev = 7.5s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 164.1s Stats over 8 runs: max = 164.1s, min = 103.7s, avg = 128.2s, dev = 20.7s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 108.4s Stats over 8 runs: max = 108.4s, min = 66.3s, avg = 84.1s, dev = 13.0s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 64.5s Stats over 8 runs: max = 64.5s, min = 4.0s, avg = 14.8s, dev = 19.5s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 11.0s Stats over 8 runs: max = 11.0s, min = 3.9s, avg = 5.1s, dev = 2.2s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 58.6s Stats over 8 runs: max = 58.6s, min = 31.6s, avg = 40.9s, dev = 9.8s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 20.6s Stats over 8 runs: max = 20.6s, min = 10.0s, avg = 13.8s, dev = 4.0s //tensorflow/python/distribute/failure_handling:failure_handler_test FLAKY, failed in 1 out of 9 in 98.2s Stats over 9 runs: max = 98.2s, min = 19.3s, avg = 50.3s, dev = 22.5s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/distribute/failure_handling/failure_handler_test/shard_1_of_8/test_attempts/attempt_1.log //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 13.5s Stats over 10 runs: max = 13.5s, min = 5.5s, avg = 7.1s, dev = 2.8s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 12.5s Stats over 10 runs: max = 12.5s, min = 5.0s, avg = 6.9s, dev = 2.7s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 21.4s Stats over 10 runs: max = 21.4s, min = 4.8s, avg = 10.1s, dev = 5.7s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 10.7s Stats over 10 runs: max = 10.7s, min = 3.7s, avg = 7.2s, dev = 2.1s //tensorflow/compiler/tests:stateful_random_ops_test_cpu PASSED in 23.9s Stats over 10 runs: max = 23.9s, min = 10.3s, avg = 13.7s, dev = 3.7s //tensorflow/compiler/tests:stateful_random_ops_test_cpu_mlir_bridge_test PASSED in 20.6s Stats over 10 runs: max = 20.6s, min = 9.9s, avg = 13.0s, dev = 3.4s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 123.8s Stats over 10 runs: max = 123.8s, min = 42.9s, avg = 73.3s, dev = 25.7s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 85.9s Stats over 10 runs: max = 85.9s, min = 46.2s, avg = 65.4s, dev = 13.9s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 37.2s Stats over 10 runs: max = 37.2s, min = 5.2s, avg = 14.1s, dev = 10.1s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 29.4s Stats over 10 runs: max = 29.4s, min = 6.7s, avg = 16.1s, dev = 7.3s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 34.8s Stats over 10 runs: max = 34.8s, min = 6.7s, avg = 17.6s, dev = 9.1s //tensorflow/python/framework:function_test_cpu PASSED in 52.3s Stats over 10 runs: max = 52.3s, min = 4.6s, avg = 11.2s, dev = 14.0s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 17.3s Stats over 10 runs: max = 17.3s, min = 4.9s, avg = 8.5s, dev = 3.4s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 15.6s Stats over 10 runs: max = 15.6s, min = 5.0s, avg = 10.0s, dev = 3.9s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 23.5s Stats over 10 runs: max = 23.5s, min = 5.5s, avg = 8.1s, dev = 5.2s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 105.8s Stats over 10 runs: max = 105.8s, min = 78.2s, avg = 90.5s, dev = 7.1s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 92.6s Stats over 10 runs: max = 92.6s, min = 11.3s, avg = 53.1s, dev = 26.5s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 13.6s Stats over 10 runs: max = 13.6s, min = 3.5s, avg = 5.7s, dev = 2.8s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 23.2s Stats over 10 runs: max = 23.2s, min = 5.6s, avg = 11.0s, dev = 4.8s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 38.7s Stats over 10 runs: max = 38.7s, min = 5.2s, avg = 20.1s, dev = 11.0s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu PASSED in 25.5s Stats over 10 runs: max = 25.5s, min = 4.5s, avg = 8.7s, dev = 6.8s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 17.7s Stats over 10 runs: max = 17.7s, min = 5.5s, avg = 9.5s, dev = 5.1s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 12.4s Stats over 10 runs: max = 12.4s, min = 5.5s, avg = 8.8s, dev = 1.9s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 169.0s Stats over 10 runs: max = 169.0s, min = 22.7s, avg = 89.7s, dev = 63.5s //tensorflow/python/ops:special_math_ops_test_cpu PASSED in 63.8s Stats over 10 runs: max = 63.8s, min = 9.2s, avg = 18.9s, dev = 16.0s //tensorflow/python/ops:weak_tensor_special_math_ops_test_cpu PASSED in 21.7s Stats over 10 runs: max = 21.7s, min = 6.0s, avg = 9.7s, dev = 4.3s //tensorflow/python/ops/numpy_ops/tests:np_indexing_test PASSED in 150.7s Stats over 10 runs: max = 150.7s, min = 84.9s, avg = 100.4s, dev = 19.2s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 22.9s Stats over 10 runs: max = 22.9s, min = 14.8s, avg = 16.7s, dev = 2.3s //tensorflow/python/saved_model:load_test_cpu PASSED in 84.9s Stats over 10 runs: max = 84.9s, min = 35.8s, avg = 50.8s, dev = 16.9s //tensorflow/compiler/tests:fft_test_cpu PASSED in 28.0s Stats over 12 runs: max = 28.0s, min = 6.6s, avg = 14.8s, dev = 7.9s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 29.9s Stats over 12 runs: max = 29.9s, min = 4.4s, avg = 14.5s, dev = 7.1s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 60.4s Stats over 12 runs: max = 60.4s, min = 5.6s, avg = 18.3s, dev = 14.9s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 47.6s Stats over 12 runs: max = 47.6s, min = 4.8s, avg = 11.1s, dev = 11.3s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 35.5s Stats over 12 runs: max = 35.5s, min = 12.9s, avg = 17.8s, dev = 5.8s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 35.9s Stats over 12 runs: max = 35.9s, min = 13.7s, avg = 19.1s, dev = 5.5s //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 33.9s Stats over 15 runs: max = 33.9s, min = 12.6s, avg = 15.6s, dev = 5.0s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 159.8s Stats over 15 runs: max = 159.8s, min = 103.4s, avg = 135.1s, dev = 18.8s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 48.7s Stats over 15 runs: max = 48.7s, min = 5.7s, avg = 12.7s, dev = 11.1s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 22.6s Stats over 16 runs: max = 22.6s, min = 5.5s, avg = 14.0s, dev = 5.8s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 53.3s Stats over 16 runs: max = 53.3s, min = 16.7s, avg = 31.9s, dev = 9.8s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 30.0s Stats over 16 runs: max = 30.0s, min = 5.7s, avg = 12.0s, dev = 7.4s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 11.7s Stats over 16 runs: max = 11.7s, min = 4.4s, avg = 6.6s, dev = 2.1s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 24.4s Stats over 16 runs: max = 24.4s, min = 8.5s, avg = 12.0s, dev = 3.8s //tensorflow/python/ops:image_ops_test_cpu PASSED in 41.9s Stats over 16 runs: max = 41.9s, min = 11.2s, avg = 17.9s, dev = 8.2s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 413.2s Stats over 17 runs: max = 413.2s, min = 21.1s, avg = 120.1s, dev = 114.5s //tensorflow/python/data/kernel_tests:map_test PASSED in 146.0s Stats over 19 runs: max = 146.0s, min = 47.1s, avg = 78.5s, dev = 25.6s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 18.5s Stats over 20 runs: max = 18.5s, min = 4.5s, avg = 8.3s, dev = 5.3s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 15.0s Stats over 20 runs: max = 15.0s, min = 4.6s, avg = 6.3s, dev = 2.4s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 13.3s Stats over 20 runs: max = 13.3s, min = 4.6s, avg = 6.2s, dev = 2.6s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 14.3s Stats over 20 runs: max = 14.3s, min = 4.2s, avg = 6.8s, dev = 2.5s //tensorflow/compiler/tests:stochastic_cast_op_test_cpu PASSED in 12.9s Stats over 20 runs: max = 12.9s, min = 5.4s, avg = 7.1s, dev = 1.7s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 23.2s Stats over 20 runs: max = 23.2s, min = 4.8s, avg = 10.4s, dev = 5.9s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 25.4s Stats over 20 runs: max = 25.4s, min = 4.7s, avg = 9.9s, dev = 6.1s //tensorflow/dtensor/python/tests:rng_test_cpu PASSED in 16.2s Stats over 20 runs: max = 16.2s, min = 6.8s, avg = 9.2s, dev = 3.0s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 28.7s Stats over 20 runs: max = 28.7s, min = 13.0s, avg = 19.6s, dev = 3.9s //tensorflow/python/kernel_tests:metrics_test PASSED in 66.2s Stats over 20 runs: max = 66.2s, min = 7.2s, avg = 22.6s, dev = 15.9s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 16.6s Stats over 20 runs: max = 16.6s, min = 3.8s, avg = 5.5s, dev = 3.0s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 23.7s Stats over 20 runs: max = 23.7s, min = 4.0s, avg = 8.6s, dev = 5.8s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 53.9s Stats over 20 runs: max = 53.9s, min = 3.8s, avg = 16.7s, dev = 16.8s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 140.6s Stats over 20 runs: max = 140.6s, min = 41.0s, avg = 68.8s, dev = 25.6s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 13.1s Stats over 20 runs: max = 13.1s, min = 5.6s, avg = 7.9s, dev = 2.0s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 18.6s Stats over 20 runs: max = 18.6s, min = 7.1s, avg = 11.4s, dev = 3.4s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 217.0s Stats over 20 runs: max = 217.0s, min = 43.2s, avg = 107.4s, dev = 52.7s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 33.0s Stats over 20 runs: max = 33.0s, min = 4.7s, avg = 13.5s, dev = 8.4s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 19.9s Stats over 20 runs: max = 19.9s, min = 8.0s, avg = 14.1s, dev = 4.0s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 33.4s Stats over 20 runs: max = 33.4s, min = 17.6s, avg = 23.3s, dev = 3.8s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 74.9s Stats over 20 runs: max = 74.9s, min = 6.8s, avg = 31.5s, dev = 20.2s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 29.3s Stats over 20 runs: max = 29.3s, min = 9.1s, avg = 12.7s, dev = 4.1s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 58.8s Stats over 24 runs: max = 58.8s, min = 16.0s, avg = 32.5s, dev = 12.4s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 26.9s Stats over 24 runs: max = 26.9s, min = 5.5s, avg = 13.3s, dev = 7.1s //tensorflow/dtensor/python/tests:multi_device_spmd_test_cpu PASSED in 30.0s Stats over 25 runs: max = 30.0s, min = 18.2s, avg = 23.0s, dev = 3.3s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 21.3s Stats over 30 runs: max = 21.3s, min = 4.1s, avg = 7.9s, dev = 3.8s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 26.4s Stats over 32 runs: max = 26.4s, min = 4.8s, avg = 13.1s, dev = 5.6s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 31.4s Stats over 32 runs: max = 31.4s, min = 4.9s, avg = 13.2s, dev = 6.1s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 220.2s Stats over 35 runs: max = 220.2s, min = 5.5s, avg = 26.8s, dev = 39.3s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 220.5s Stats over 35 runs: max = 220.5s, min = 5.9s, avg = 27.0s, dev = 38.5s //tensorflow/core/kernels:stochastic_cast_op_test PASSED in 1.4s Stats over 48 runs: max = 1.4s, min = 0.4s, avg = 0.5s, dev = 0.2s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 107.2s Stats over 50 runs: max = 107.2s, min = 34.2s, avg = 54.8s, dev = 18.0s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 26.1s Stats over 50 runs: max = 26.1s, min = 4.2s, avg = 13.9s, dev = 5.8s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 19.9s Stats over 50 runs: max = 19.9s, min = 4.1s, avg = 10.8s, dev = 3.8s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 82.8s Stats over 50 runs: max = 82.8s, min = 39.0s, avg = 57.4s, dev = 8.7s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 21.6s Stats over 50 runs: max = 21.6s, min = 5.5s, avg = 11.1s, dev = 3.5s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_onednn_grad_test PASSED in 21.3s Stats over 50 runs: max = 21.3s, min = 5.9s, avg = 11.3s, dev = 3.4s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 37.7s Stats over 50 runs: max = 37.7s, min = 11.0s, avg = 21.7s, dev = 7.3s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 16.5s Stats over 50 runs: max = 16.5s, min = 4.0s, avg = 6.2s, dev = 2.0s Executed 3075 out of 3075 tests: 3075 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.