==================== Test output for //tensorflow/python/distribute/failure_handling:gce_failure_handler_test (shard 7 of 8): Running tests under Python 3.9.16: /usr/local/bin/python3 [ RUN ] GceFailureHandlingTest.test_basic_run_test_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 17544 I0405 20:54:16.549711 281473304654720 test_util.py:3794] Using local port 17544 INFO:tensorflow:Using local port 24204 I0405 20:54:16.550897 281473304654720 test_util.py:3794] Using local port 24204 INFO:tensorflow:Using local port 15334 I0405 20:54:16.551433 281473304654720 test_util.py:3794] Using local port 15334 INFO:tensorflow:Using local port 16798 I0405 20:54:16.551942 281473304654720 test_util.py:3794] Using local port 16798 INFO:tensorflow:Cluster starting. I0405 20:54:20.386629 281473304654720 gce_failure_handler_test.py:317] Cluster starting. [worker-1]: I0405 20:54:20.475181 281472829518720 multi_process_runner.py:840] Subprocess with PID 3105724 (worker, 1) is now being started. [worker-0]: I0405 20:54:20.480011 281472829518720 multi_process_runner.py:840] Subprocess with PID 3105714 (worker, 0) is now being started. [worker-1]: I0405 20:54:20.475708 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17544", "localhost:24204", "localhost:15334", "localhost:16798"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-0]: I0405 20:54:20.480512 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17544", "localhost:24204", "localhost:15334", "localhost:16798"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:54:20.520402 281472829518720 multi_process_runner.py:840] Subprocess with PID 3105729 (worker, 2) is now being started. [worker-3]: I0405 20:54:20.524132 281472829518720 multi_process_runner.py:840] Subprocess with PID 3105756 (worker, 3) is now being started. [worker-2]: I0405 20:54:20.520882 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17544", "localhost:24204", "localhost:15334", "localhost:16798"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0405 20:54:20.524603 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17544", "localhost:24204", "localhost:15334", "localhost:16798"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-05 20:54:20.556394: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17544 [worker-1]: 2023-04-05 20:54:20.578785: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:24204 [worker-3]: 2023-04-05 20:54:20.596203: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16798 [worker-0]: 2023-04-05 20:54:20.656402: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 11683144710172083391 [worker-1]: 2023-04-05 20:54:20.658812: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:54:20.663982: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 174227784319727192 [worker-0]: 2023-04-05 20:54:20.664253: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:54:20.665332: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 4537088960922583585 [worker-3]: 2023-04-05 20:54:20.665595: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: 2023-04-05 20:54:20.766965: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:15334 [worker-0]: 2023-04-05 20:54:20.770989: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 343108521069528983 [worker-2]: 2023-04-05 20:54:20.771267: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [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]: I0405 20:54:20.773436 281472829518720 collective_all_reduce_strategy.py:532] 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-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-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]: I0405 20:54:20.773599 281472829518720 collective_all_reduce_strategy.py:532] 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-2]: I0405 20:54:20.780932 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:20.777468 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:20.836755 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0405 20:54:20.837266 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0405 20:54:20.837481 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, 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]: I0405 20:54:20.840954 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0405 20:54:20.841482 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0405 20:54:20.841689 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, 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:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I0405 20:54:20.847949 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0405 20:54:20.848486 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:54:20.848711 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: I0405 20:54:20.913396 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0405 20:54:20.913950 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0405 20:54:20.914168 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, 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-2]: I0405 20:54:21.161022 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: I0405 20:54:21.148745 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0405 20:54:21.161970 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0405 20:54:21.162441 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: I0405 20:54:21.168183 281472829518720 failure_handling.py:683] Start polling for termination 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:21.162775 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-0]: I0405 20:54:21.169646 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: INFO:tensorflow:Start training at 0 [worker-0]: Instructions for updating: [worker-2]: I0405 20:54:21.162971 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: W0405 20:54:21.170029 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:21.170246 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0405 20:54:21.173524 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0405 20:54:21.175012 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0405 20:54:21.175823 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:21.176205 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:21.176429 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0405 20:54:21.181751 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0405 20:54:21.182627 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0405 20:54:21.183171 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:21.183662 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:21.183842 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [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]: I0405 20:54:21.401285 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.411617 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.415997 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.421578 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.490806 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.490505 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.490641 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.489930 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.559417 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.575597 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.591910 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.598627 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.672191 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.684521 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.685871 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.695703 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.793143 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.800158 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.819015 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.820673 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2375e0> 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 0xffff7c2385e0> 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]: W0405 20:54:21.873762 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2385e0> 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]: W0405 20:54:21.868614 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2375e0> 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 0xffff7c23a5e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: W0405 20:54:21.878858 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23a5e0> 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 0xffff7c2375e0> 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]: W0405 20:54:21.883365 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2375e0> 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]: I0405 20:54:21.879562 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.899841 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.909683 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:21.920067 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2591f0> 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]: W0405 20:54:21.995257 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2591f0> 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:epoch 0 finished [worker-1]: I0405 20:54:21.995621 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff7c2581f0> 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]: W0405 20:54:21.996381 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2581f0> 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:epoch 0 finished [worker-3]: I0405 20:54:21.996756 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff7c2581f0> 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]: W0405 20:54:22.000219 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2581f0> 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:epoch 0 finished [worker-2]: I0405 20:54:22.000567 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:22.003342 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2581f0> 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]: W0405 20:54:22.006465 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2581f0> 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:epoch 0 finished [worker-0]: I0405 20:54:22.007060 281472829518720 gce_failure_handler_test.py:192] epoch 0 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]: I0405 20:54:22.008141 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:22.020460 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:22.021938 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:22.083901 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:22.085022 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:22.090112 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:22.112743 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:22.162461 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:22.162527 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:22.162523 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:22.163125 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Termination notice available. [worker-2]: I0405 20:54:22.196890 281447679783392 gce_failure_handler_test.py:142] Termination notice available. [worker-2]: INFO:tensorflow:Member 2 has received termination notice. [worker-2]: I0405 20:54:22.197775 281447679783392 failure_handling.py:710] Member 2 has received termination notice. [worker-2]: INFO:tensorflow:Termination caught in main thread on preempted worker [worker-2]: I0405 20:54:22.263175 281472829518720 failure_handling.py:1159] Termination caught in main thread on preempted worker [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged [worker-3]: I0405 20:54:22.266641 281446757167584 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged [worker-0]: I0405 20:54:22.266672 281446614495712 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-2]: I0405 20:54:22.267536 281447688237536 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:RUN_TO_CHECKPOINT set to 10 [worker-2]: I0405 20:54:22.268669 281472829518720 failure_handling.py:1168] RUN_TO_CHECKPOINT set to 10 [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 0 received [worker-2]: I0405 20:54:22.270107 281472829518720 failure_handling.py:1177] Sigterm acknowledgement from replica 0 received [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 1 received [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]: I0405 20:54:22.290802 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:22.292715 281472829518720 failure_handling.py:1177] Sigterm acknowledgement from replica 1 received [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 2 received [worker-2]: I0405 20:54:22.293448 281472829518720 failure_handling.py:1177] Sigterm acknowledgement from replica 2 received [worker-1]: I0405 20:54:22.292870 281446639858144 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 3 received [worker-2]: I0405 20:54:22.294255 281472829518720 failure_handling.py:1177] Sigterm acknowledgement from replica 3 received [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]: I0405 20:54:22.296872 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:22.321710 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:22.330138 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-0]: I0405 20:54:22.380183 281472829518720 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: I0405 20:54:22.380343 281472829518720 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: I0405 20:54:22.384909 281472829518720 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-3]: I0405 20:54:22.385766 281472829518720 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/284377733e18a9a7ee6d6d7363a8b705m0zdap8s/tmpou8ro2ow/fh_ckpt/workertemp_1/ [worker-1]: I0405 20:54:22.479180 281472829518720 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/284377733e18a9a7ee6d6d7363a8b705m0zdap8s/tmpou8ro2ow/fh_ckpt/workertemp_1/ [worker-0]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/284377733e18a9a7ee6d6d7363a8b705m0zdap8s/tmpou8ro2ow/fh_ckpt/ [worker-2]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/284377733e18a9a7ee6d6d7363a8b705m0zdap8s/tmpou8ro2ow/fh_ckpt/workertemp_2/ [worker-2]: I0405 20:54:22.480813 281472829518720 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/284377733e18a9a7ee6d6d7363a8b705m0zdap8s/tmpou8ro2ow/fh_ckpt/workertemp_2/ [worker-2]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-2]: I0405 20:54:22.481134 281472829518720 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-0]: I0405 20:54:22.480853 281472829518720 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/284377733e18a9a7ee6d6d7363a8b705m0zdap8s/tmpou8ro2ow/fh_ckpt/ [worker-2]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-2]: I0405 20:54:22.483829 281472829518720 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-2]: I0405 20:54:22.484014 281472829518720 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/284377733e18a9a7ee6d6d7363a8b705m0zdap8s/tmpou8ro2ow/fh_ckpt/workertemp_3/ [worker-3]: I0405 20:54:22.492391 281472829518720 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/284377733e18a9a7ee6d6d7363a8b705m0zdap8s/tmpou8ro2ow/fh_ckpt/workertemp_3/ [worker-1]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-1]: I0405 20:54:23.183891 281472829518720 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-1]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-1]: I0405 20:54:23.192129 281472829518720 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: I0405 20:54:23.192404 281472829518720 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-0]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-0]: I0405 20:54:23.203850 281472829518720 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-0]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-0]: I0405 20:54:23.205540 281472829518720 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-0]: I0405 20:54:23.205780 281472829518720 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-3]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-3]: I0405 20:54:23.226395 281472829518720 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-3]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: I0405 20:54:23.228273 281472829518720 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-3]: I0405 20:54:23.228561 281472829518720 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. INFO:tensorflow:restarting workers I0405 20:54:24.473720 281473304654720 gce_failure_handler_test.py:323] restarting workers INFO:tensorflow:workers restarted I0405 20:54:24.506747 281473304654720 gce_failure_handler_test.py:327] workers restarted [worker-0]: I0405 20:54:24.514684 281472829518720 multi_process_runner.py:840] Subprocess with PID 3113172 (worker, 0) is now being started. [worker-0]: I0405 20:54:24.515153 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17544", "localhost:24204", "localhost:15334", "localhost:16798"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0405 20:54:24.546360 281472829518720 multi_process_runner.py:840] Subprocess with PID 3113183 (worker, 1) is now being started. [worker-1]: I0405 20:54:24.546790 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17544", "localhost:24204", "localhost:15334", "localhost:16798"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-05 20:54:24.551474: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17544 [worker-2]: I0405 20:54:24.552153 281472829518720 multi_process_runner.py:840] Subprocess with PID 3113194 (worker, 2) is now being started. [worker-3]: I0405 20:54:24.552328 281472829518720 multi_process_runner.py:840] Subprocess with PID 3113206 (worker, 3) is now being started. [worker-3]: I0405 20:54:24.552754 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17544", "localhost:24204", "localhost:15334", "localhost:16798"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:54:24.552662 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17544", "localhost:24204", "localhost:15334", "localhost:16798"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-05 20:54:24.559581: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 13196350018496821140 [worker-0]: 2023-04-05 20:54:24.559924: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: 2023-04-05 20:54:24.587097: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:15334 [worker-3]: 2023-04-05 20:54:24.587485: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16798 [worker-0]: 2023-04-05 20:54:24.594621: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 1894319783813518830 [worker-2]: 2023-04-05 20:54:24.595044: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-1]: 2023-04-05 20:54:24.602633: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:24204 [worker-0]: 2023-04-05 20:54:24.617057: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 12689854268761420726 [worker-3]: 2023-04-05 20:54:24.621111: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:54:24.622694: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 2065958752564470349 [worker-1]: 2023-04-05 20:54:24.622961: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: 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-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-1]: I0405 20:54:24.624718 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:24.624710 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:24.624722 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:24.624899 281472829518720 collective_all_reduce_strategy.py:532] 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-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-1]: I0405 20:54:24.682671 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-3]: I0405 20:54:24.682729 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-2]: I0405 20:54:24.682720 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-3]: INFO:tensorflow:Check health not enabled. [worker-2]: INFO:tensorflow:Check health not enabled. [worker-1]: I0405 20:54:24.683120 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-3]: I0405 20:54:24.683268 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-2]: I0405 20:54:24.683257 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0405 20:54:24.683291 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:54:24.683448 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0405 20:54:24.683442 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, 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]: I0405 20:54:24.687363 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0405 20:54:24.687892 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0405 20:54:24.688075 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17544', 'localhost:24204', 'localhost:15334', 'localhost:16798']}, 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:Start watcher for peer's signal. [worker-2]: I0405 20:54:24.861923 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0405 20:54:24.862641 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: I0405 20:54:24.862915 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0405 20:54:24.862987 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: I0405 20:54:24.864413 281472829518720 failure_handling.py:683] Start polling for termination 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Instructions for updating: [worker-0]: I0405 20:54:24.865072 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0405 20:54:24.880981 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-1]: I0405 20:54:24.880948 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: W0405 20:54:24.865364 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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 10 [worker-0]: I0405 20:54:24.865524 281472829518720 gce_failure_handler_test.py:194] Start training at 10 [worker-0]: INFO:tensorflow:['workertemp_2', 'workertemp_3', 'workertemp_1', 'ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint'] [worker-0]: I0405 20:54:24.890887 281472829518720 gce_failure_handler_test.py:203] ['workertemp_2', 'workertemp_3', 'workertemp_1', 'ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint'] [worker-2]: W0405 20:54:24.863270 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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 10 [worker-2]: I0405 20:54:24.863423 281472829518720 gce_failure_handler_test.py:194] Start training at 10 [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-2]: INFO:tensorflow:['workertemp_2', 'workertemp_3', 'workertemp_1', 'ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint'] [worker-2]: I0405 20:54:24.889195 281472829518720 gce_failure_handler_test.py:203] ['workertemp_2', 'workertemp_3', 'workertemp_1', 'ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint'] [worker-3]: I0405 20:54:24.896934 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0405 20:54:24.916213 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:24.916709 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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 10 [worker-3]: I0405 20:54:24.916879 281472829518720 gce_failure_handler_test.py:194] Start training at 10 [worker-3]: INFO:tensorflow:['workertemp_2', 'workertemp_3', 'workertemp_1', 'ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint'] [worker-3]: I0405 20:54:24.919044 281472829518720 gce_failure_handler_test.py:203] ['workertemp_2', 'workertemp_3', 'workertemp_1', 'ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint'] [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0405 20:54:24.896768 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0405 20:54:24.897314 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:24.897611 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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 10 [worker-1]: I0405 20:54:24.897772 281472829518720 gce_failure_handler_test.py:194] Start training at 10 [worker-1]: INFO:tensorflow:['workertemp_2', 'workertemp_3', 'workertemp_1', 'ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint'] [worker-1]: I0405 20:54:24.899541 281472829518720 gce_failure_handler_test.py:203] ['workertemp_2', 'workertemp_3', 'workertemp_1', 'ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint'] [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]: I0405 20:54:25.050639 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.052250 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.052606 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.051782 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.122382 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:25.122865 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.123646 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.126094 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 1 finished [worker-0]: INFO:tensorflow:epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-3]: I0405 20:54:25.167733 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-0]: I0405 20:54:25.167854 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: I0405 20:54:25.168031 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0405 20:54:25.168207 281472829518720 gce_failure_handler_test.py:192] epoch 1 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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:25.176026 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.176433 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:25.176603 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.178161 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.236187 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.245229 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.247047 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.251188 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.305125 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:25.305450 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.306289 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.307509 281472829518720 cross_device_ops.py:1151] 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 0xffff7c24b5e0> 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 0xffff7c24a5e0> 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]: W0405 20:54:25.351058 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c24a5e0> 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]: W0405 20:54:25.350946 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c24b5e0> 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 0xffff7c24b5e0> 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]: W0405 20:54:25.353843 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c24b5e0> 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 0xffff7c24b5e0> 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]: W0405 20:54:25.354038 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c24b5e0> 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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:25.359915 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:25.359954 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.361881 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.363941 281472829518720 cross_device_ops.py:1151] 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 0xffff7c1e91f0> 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 0xffff7c1e91f0> 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]: W0405 20:54:25.410974 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c1e91f0> 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]: W0405 20:54:25.411283 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c1e91f0> 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 0xffff7c1e81f0> 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 0xffff7c1e81f0> 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]: W0405 20:54:25.411012 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c1e81f0> 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]: W0405 20:54:25.411113 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c1e81f0> 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]: I0405 20:54:25.419245 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.420574 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.419714 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:25.419721 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.473247 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:25.473653 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.478374 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.479911 281472829518720 cross_device_ops.py:1151] 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-0]: INFO:tensorflow:epoch 2 finished [worker-1]: INFO:tensorflow:epoch 2 finished [worker-2]: INFO:tensorflow:epoch 2 finished [worker-3]: I0405 20:54:25.526405 281472829518720 gce_failure_handler_test.py:192] epoch 2 finished [worker-0]: I0405 20:54:25.526566 281472829518720 gce_failure_handler_test.py:192] epoch 2 finished [worker-1]: I0405 20:54:25.526618 281472829518720 gce_failure_handler_test.py:192] epoch 2 finished [worker-2]: I0405 20:54:25.526822 281472829518720 gce_failure_handler_test.py:192] 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-3]: I0405 20:54:25.534818 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:25.536072 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:25.536144 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:25.536033 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.593404 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:25.593033 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.594709 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.612757 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.682269 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.692395 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.702217 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 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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]: I0405 20:54:25.949058 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:25.969581 281472829518720 cross_device_ops.py:1151] 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 = 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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]: I0405 20:54:26.042881 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.044496 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.046173 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 3 finished [worker-3]: I0405 20:54:26.101514 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-0]: INFO:tensorflow:epoch 3 finished [worker-2]: INFO:tensorflow:epoch 3 finished [worker-0]: I0405 20:54:26.106979 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-2]: I0405 20:54:26.107389 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-1]: INFO:tensorflow:epoch 3 finished [worker-1]: I0405 20:54:26.107218 281472829518720 gce_failure_handler_test.py:192] 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-3]: I0405 20:54:26.112371 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.115227 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.116340 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:26.116072 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.180489 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.182408 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.184109 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.193164 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.253638 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.254622 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.255280 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.254910 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.391080 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.411026 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:26.410743 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.617092 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.679312 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.679936 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.681092 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.685963 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.748611 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.762579 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.782517 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:26.784728 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-3]: I0405 20:54:26.851282 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: I0405 20:54:26.851604 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-3]: I0405 20:54:26.851701 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0405 20:54:26.851994 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:epoch 4 finished [worker-1]: I0405 20:54:26.857040 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0405 20:54:26.857342 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: INFO:tensorflow:epoch 4 finished [worker-2]: I0405 20:54:26.859841 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0405 20:54:26.860244 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-0]: I0405 20:54:26.867570 281472829518720 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-0]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-0]: I0405 20:54:26.870951 281472829518720 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-3]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: I0405 20:54:26.886527 281472829518720 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-1]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-1]: I0405 20:54:26.901549 281472829518720 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-3]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-3]: I0405 20:54:26.902414 281472829518720 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-1]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-1]: I0405 20:54:28.903590 281472829518720 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-1]: 2023-04-05 20:54:29.629652: E tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:737] Coordination agent is in ERROR: UNAVAILABLE: failed to connect to all addresses [worker-1]: Additional GRPC error information from remote target /job:worker/replica:0/task:0: [worker-1]: :{"created":"@1680728069.629544497","description":"Failed to pick subchannel","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/client_channel.cc","file_line":3940,"referenced_errors":[{"created":"@1680728069.624818922","description":"failed to connect to all addresses","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/lb_policy/pick_first/pick_first.cc","file_line":392,"grpc_status":14}]} [worker-1]: 2023-04-05 20:54:29.629712: E tensorflow/core/common_runtime/base_collective_executor.cc:249] BaseCollectiveExecutor::StartAbort UNAVAILABLE: failed to connect to all addresses [worker-1]: Additional GRPC error information from remote target /job:worker/replica:0/task:0: [worker-1]: :{"created":"@1680728069.629544497","description":"Failed to pick subchannel","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/client_channel.cc","file_line":3940,"referenced_errors":[{"created":"@1680728069.624818922","description":"failed to connect to all addresses","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/lb_policy/pick_first/pick_first.cc","file_line":392,"grpc_status":14}]} I0405 20:54:31.494570 281473304654720 multi_process_runner.py:646] worker-0 exit code: 0 I0405 20:54:31.494899 281473304654720 multi_process_runner.py:646] worker-1 exit code: 0 I0405 20:54:31.495031 281473304654720 multi_process_runner.py:646] worker-2 exit code: 0 I0405 20:54:31.495149 281473304654720 multi_process_runner.py:646] worker-3 exit code: 0 I0405 20:54:31.497076 281473304654720 multi_process_runner.py:662] Joining log reading threads. I0405 20:54:31.497300 281473304654720 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_basic_run_test_inputarg_manager_strategyoption_MWMSmultiworker): 15.1s I0405 20:54:31.642565 281473304654720 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_basic_run_test_inputarg_manager_strategyoption_MWMSmultiworker): 15.1s [ OK ] GceFailureHandlingTest.test_basic_run_test_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using MirroredStrategy with devices ('/device:CPU:0',) I0405 20:54:31.748313 281473304654720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/device:CPU:0',) INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO I0405 20:54:31.748929 281473304654720 collective_all_reduce_strategy.py:447] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO INFO:tensorflow:Start polling for termination signal. I0405 20:54:31.781775 281473304654720 failure_handling.py:683] Start polling for termination signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I0405 20:54:31.789125 281473304654720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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. W0405 20:54:31.789701 281473304654720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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 I0405 20:54:31.789900 281473304654720 gce_failure_handler_test.py:194] Start training at 0 WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xfffef1e8d040> 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. W0405 20:54:32.174948 281473304654720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xfffef1e8d040> 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 .wrapped_fn at 0xfffef1e8d550> 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. W0405 20:54:32.201064 281473304654720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xfffef1e8d550> 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 I0405 20:54:32.201573 281473304654720 gce_failure_handler_test.py:192] epoch 0 finished INFO:tensorflow:epoch 1 finished I0405 20:54:32.429133 281473304654720 gce_failure_handler_test.py:192] epoch 1 finished INFO:tensorflow:epoch 2 finished I0405 20:54:32.656504 281473304654720 gce_failure_handler_test.py:192] epoch 2 finished INFO:tensorflow:epoch 3 finished I0405 20:54:32.854382 281473304654720 gce_failure_handler_test.py:192] epoch 3 finished INFO:tensorflow:epoch 4 finished I0405 20:54:32.995799 281473304654720 gce_failure_handler_test.py:192] epoch 4 finished INFO:tensorflow:Training finished. I0405 20:54:32.996171 281473304654720 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker): 1.36s I0405 20:54:33.001115 281473304654720 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker): 1.36s [ OK ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using MirroredStrategy with devices ('/device:CPU:0',) I0405 20:54:33.012438 281473304654720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/device:CPU:0',) INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO I0405 20:54:33.012813 281473304654720 collective_all_reduce_strategy.py:447] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO INFO:tensorflow:Start polling for termination signal. I0405 20:54:33.026602 281473304654720 failure_handling.py:683] Start polling for termination signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I0405 20:54:33.027085 281473304654720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. INFO:tensorflow:Start training at 0 I0405 20:54:33.027319 281473304654720 gce_failure_handler_test.py:194] Start training at 0 INFO:tensorflow:epoch 0 finished I0405 20:54:33.179692 281473304654720 gce_failure_handler_test.py:192] epoch 0 finished INFO:tensorflow:epoch 1 finished I0405 20:54:33.360327 281473304654720 gce_failure_handler_test.py:192] epoch 1 finished INFO:tensorflow:epoch 2 finished I0405 20:54:33.564527 281473304654720 gce_failure_handler_test.py:192] epoch 2 finished INFO:tensorflow:epoch 3 finished I0405 20:54:33.741071 281473304654720 gce_failure_handler_test.py:192] epoch 3 finished INFO:tensorflow:epoch 4 finished I0405 20:54:33.988227 281473304654720 gce_failure_handler_test.py:192] epoch 4 finished INFO:tensorflow:Training finished. I0405 20:54:33.988578 281473304654720 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker): 0.99s I0405 20:54:33.993282 281473304654720 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker): 0.99s [ OK ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 16538 I0405 20:54:34.068378 281473304654720 test_util.py:3794] Using local port 16538 INFO:tensorflow:Using local port 19046 I0405 20:54:34.068916 281473304654720 test_util.py:3794] Using local port 19046 INFO:tensorflow:Using local port 23156 I0405 20:54:34.069317 281473304654720 test_util.py:3794] Using local port 23156 INFO:tensorflow:Using local port 15186 I0405 20:54:34.069706 281473304654720 test_util.py:3794] Using local port 15186 INFO:tensorflow:Cluster starting. I0405 20:54:34.622712 281473304654720 gce_failure_handler_test.py:405] Cluster starting. [worker-1]: I0405 20:54:34.729280 281472829518720 multi_process_runner.py:840] Subprocess with PID 3130289 (worker, 1) is now being started. [worker-3]: I0405 20:54:34.746999 281472829518720 multi_process_runner.py:840] Subprocess with PID 3130301 (worker, 3) is now being started. [worker-0]: I0405 20:54:34.746774 281472829518720 multi_process_runner.py:840] Subprocess with PID 3130282 (worker, 0) is now being started. [worker-1]: I0405 20:54:34.729686 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:16538", "localhost:19046", "localhost:23156", "localhost:15186"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-3]: I0405 20:54:34.747379 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:16538", "localhost:19046", "localhost:23156", "localhost:15186"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:54:34.765613 281472829518720 multi_process_runner.py:840] Subprocess with PID 3130292 (worker, 2) is now being started. [worker-0]: I0405 20:54:34.747218 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:16538", "localhost:19046", "localhost:23156", "localhost:15186"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:54:34.766029 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:16538", "localhost:19046", "localhost:23156", "localhost:15186"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: 2023-04-05 20:54:34.781086: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:15186 [worker-1]: 2023-04-05 20:54:34.813525: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:19046 [worker-2]: 2023-04-05 20:54:34.839355: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23156 [worker-0]: 2023-04-05 20:54:34.894562: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16538 [worker-0]: 2023-04-05 20:54:34.918490: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 1291576300446311862 [worker-3]: 2023-04-05 20:54:34.918977: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:54:34.920642: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 17097131895995761429 [worker-2]: 2023-04-05 20:54:34.920880: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:54:34.926880: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 14621480115186443327 [worker-1]: 2023-04-05 20:54:34.927264: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:54:34.930734: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 4921104248045288728 [worker-0]: 2023-04-05 20:54:34.931010: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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-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-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-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I0405 20:54:34.945090 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:34.945186 281472829518720 collective_all_reduce_strategy.py:532] 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-1]: I0405 20:54:34.945267 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:34.945359 281472829518720 collective_all_reduce_strategy.py:532] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I0405 20:54:35.002711 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0405 20:54:35.003142 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:54:35.003312 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0405 20:54:35.004197 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0405 20:54:35.004801 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0405 20:54:35.004992 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, 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:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: I0405 20:54:35.003175 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0405 20:54:35.003590 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0405 20:54:35.003758 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: I0405 20:54:35.004213 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0405 20:54:35.004793 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0405 20:54:35.004981 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, 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]: I0405 20:54:35.101774 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0405 20:54:35.102816 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: Traceback (most recent call last): [worker-3]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-3]: I0405 20:54:35.103987 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:35.104390 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:35.104568 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: self.run() [worker-3]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-3]: self._target(*self._args, **self._kwargs) [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: if self._termination_watcher_fn(): [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0405 20:54:35.107470 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0405 20:54:35.128599 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0405 20:54:35.130131 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0405 20:54:35.131697 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-2]: I0405 20:54:35.118793 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0405 20:54:35.131078 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-0]: Traceback (most recent call last): [worker-2]: Traceback (most recent call last): [worker-0]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-2]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-0]: self.run() [worker-2]: self.run() [worker-2]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-2]: self._target(*self._args, **self._kwargs) [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-2]: if self._termination_watcher_fn(): [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0405 20:54:35.155956 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:35.156564 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:35.156752 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: Traceback (most recent call last): [worker-1]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-1]: self.run() [worker-1]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-1]: self._target(*self._args, **self._kwargs) [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-1]: if self._termination_watcher_fn(): [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0405 20:54:35.147867 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:35.148369 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:35.148548 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-0]: self._target(*self._args, **self._kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-0]: if self._termination_watcher_fn(): [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0405 20:54:35.147858 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:35.148330 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:35.148505 281472829518720 gce_failure_handler_test.py:194] 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]: I0405 20:54:35.207942 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.271861 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.371763 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.547860 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.616883 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.629694 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.649982 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.691632 281472829518720 cross_device_ops.py:1151] 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-2]: I0405 20:54:35.842652 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:35.824639 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.857163 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.873761 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.987342 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:35.992452 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.011678 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.034195 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.177610 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.222847 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.237133 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.241676 281472829518720 cross_device_ops.py:1151] 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 0xffff7c23e5e0> 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]: W0405 20:54:36.308522 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23e5e0> 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]: I0405 20:54:36.319696 281472829518720 cross_device_ops.py:1151] 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 0xffff7c23b5e0> 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]: W0405 20:54:36.326791 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23b5e0> 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 0xffff7c23b5e0> 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]: W0405 20:54:36.327664 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23b5e0> 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 0xffff7c23c5e0> 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]: W0405 20:54:36.336511 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23c5e0> 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]: I0405 20:54:36.351121 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.337705 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.362656 281472829518720 cross_device_ops.py:1151] 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 0xffff7c25d1f0> 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 0xffff7c2591f0> 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]: W0405 20:54:36.413101 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c25d1f0> 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]: W0405 20:54:36.413241 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2591f0> 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:epoch 0 finished [worker-0]: INFO:tensorflow:epoch 0 finished [worker-0]: I0405 20:54:36.413701 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: I0405 20:54:36.413630 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff7c25c1f0> 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]: W0405 20:54:36.413482 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c25c1f0> 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:epoch 0 finished [worker-1]: I0405 20:54:36.413978 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff7c25a1f0> 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-2]: W0405 20:54:36.417938 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c25a1f0> 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:epoch 0 finished [worker-3]: I0405 20:54:36.423111 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:36.418438 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:36.423206 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.429277 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.466431 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.524946 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.525190 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.524822 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.541481 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.599141 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.603443 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.603930 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.614178 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.675907 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.676150 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.687631 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.703410 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.775000 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.776303 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.779156 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.788273 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.847327 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.850140 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.858023 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.847199 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 1 finished [worker-0]: INFO:tensorflow:epoch 1 finished [worker-0]: I0405 20:54:36.962241 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-3]: I0405 20:54:36.962184 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: I0405 20:54:36.962679 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-2]: I0405 20:54:36.964340 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:36.971431 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.971921 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.986702 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:36.991262 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.065464 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.075599 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.081709 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.096829 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.192267 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.181075 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.196630 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.210963 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.269395 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.276650 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.270512 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: 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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]: I0405 20:54:37.509968 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:37.574556 281472829518720 gce_failure_handler_test.py:192] epoch 2 finished [worker-0]: INFO:tensorflow:epoch 2 finished [worker-0]: I0405 20:54:37.582105 281472829518720 gce_failure_handler_test.py:192] 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-3]: I0405 20:54:37.584549 281472829518720 cross_device_ops.py:1151] 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-1]: I0405 20:54:37.587510 281472829518720 gce_failure_handler_test.py:192] epoch 2 finished [worker-2]: INFO:tensorflow:epoch 2 finished [worker-2]: I0405 20:54:37.596590 281472829518720 gce_failure_handler_test.py:192] epoch 2 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-0]: I0405 20:54:37.613133 281472829518720 cross_device_ops.py:1151] 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, 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= 1 [worker-3]: I0405 20:54:38.571036 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:38.574741 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:38.576564 281472829518720 cross_device_ops.py:1151] 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-1]: I0405 20:54:38.842603 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:38.850221 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:38.861296 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:38.939757 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:38.944985 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:38.941544 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:38.956091 281472829518720 cross_device_ops.py:1151] 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-3]: INFO:tensorflow:epoch 4 finished [worker-0]: I0405 20:54:39.009208 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: I0405 20:54:39.009043 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:Training finished. [worker-1]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-1]: I0405 20:54:39.009547 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0405 20:54:39.010326 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-0]: I0405 20:54:39.009568 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-3]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-3]: I0405 20:54:39.009446 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0405 20:54:39.010679 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0405 20:54:39.009929 281472829518720 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0405 20:54:40.717582 281473304654720 gce_failure_handler_test.py:411] restarting workers [worker-0]: I0405 20:54:40.756505 281472829518720 multi_process_runner.py:840] Subprocess with PID 3158706 (worker, 0) is now being started. [worker-0]: I0405 20:54:40.756968 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:16538", "localhost:19046", "localhost:23156", "localhost:15186"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' INFO:tensorflow:workers restarted I0405 20:54:40.765674 281473304654720 gce_failure_handler_test.py:415] workers restarted [worker-1]: I0405 20:54:40.770197 281472829518720 multi_process_runner.py:840] Subprocess with PID 3158719 (worker, 1) is now being started. [worker-1]: I0405 20:54:40.770641 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:16538", "localhost:19046", "localhost:23156", "localhost:15186"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:54:40.772675 281472829518720 multi_process_runner.py:840] Subprocess with PID 3158733 (worker, 2) is now being started. [worker-2]: I0405 20:54:40.773069 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:16538", "localhost:19046", "localhost:23156", "localhost:15186"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0405 20:54:40.802190 281472829518720 multi_process_runner.py:840] Subprocess with PID 3158859 (worker, 3) is now being started. [worker-0]: 2023-04-05 20:54:40.802570: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16538 [worker-3]: I0405 20:54:40.802591 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:16538", "localhost:19046", "localhost:23156", "localhost:15186"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-05 20:54:40.809603: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 13969140742292451970 [worker-0]: 2023-04-05 20:54:40.809972: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-1]: 2023-04-05 20:54:40.815089: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:19046 [worker-2]: 2023-04-05 20:54:40.833755: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23156 [worker-3]: 2023-04-05 20:54:40.836301: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:15186 [worker-0]: 2023-04-05 20:54:40.836735: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 17512980988456424378 [worker-2]: 2023-04-05 20:54:40.837354: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:54:40.846127: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 17623707843363208455 [worker-3]: 2023-04-05 20:54:40.846380: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:54:40.857019: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 3341294761202341695 [worker-1]: 2023-04-05 20:54:40.857485: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [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]: I0405 20:54:40.859749 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:40.861069 281472829518720 collective_all_reduce_strategy.py:532] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I0405 20:54:40.861996 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:40.867187 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:40.919558 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0405 20:54:40.920012 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0405 20:54:40.920184 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, 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]: I0405 20:54:40.922168 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0405 20:54:40.922592 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0405 20:54:40.922759 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, 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]: I0405 20:54:40.933701 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0405 20:54:40.934297 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0405 20:54:40.934483 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, 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]: I0405 20:54:40.929608 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0405 20:54:40.930209 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:54:40.930395 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:16538', 'localhost:19046', 'localhost:23156', 'localhost:15186']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0405 20:54:41.006368 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: I0405 20:54:41.006388 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0405 20:54:41.007095 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: I0405 20:54:41.007173 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: I0405 20:54:41.007675 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: I0405 20:54:41.007184 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-2]: Traceback (most recent call last): [worker-1]: I0405 20:54:41.008008 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: Traceback (most recent call last): [worker-2]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-3]: I0405 20:54:41.007905 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-0]: self.run() [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: Traceback (most recent call last): [worker-2]: I0405 20:54:41.008161 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-0]: self._target(*self._args, **self._kwargs) [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-1]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-2]: Instructions for updating: [worker-0]: if self._termination_watcher_fn(): [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0405 20:54:41.008431 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: I0405 20:54:41.008375 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:41.008494 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: W0405 20:54:41.008839 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:41.009015 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: self.run() [worker-1]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-1]: self._target(*self._args, **self._kwargs) [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-1]: if self._termination_watcher_fn(): [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: Instructions for updating: [worker-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0405 20:54:41.008699 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: INFO:tensorflow:Start training at 0 [worker-3]: Instructions for updating: [worker-2]: I0405 20:54:41.008661 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: self.run() [worker-3]: INFO:tensorflow:Start training at 0 [worker-2]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-3]: I0405 20:54:41.009047 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: self._target(*self._args, **self._kwargs) [worker-3]: self.run() [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-2]: if self._termination_watcher_fn(): [worker-3]: self._target(*self._args, **self._kwargs) [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: if self._termination_watcher_fn(): [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0405 20:54:41.009516 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:41.009869 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:41.010038 281472829518720 gce_failure_handler_test.py:194] 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]: I0405 20:54:41.117574 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.122833 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.137624 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.155725 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.245802 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.247696 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:41.247763 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.262037 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.387292 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:41.387699 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.390764 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.401143 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.486794 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.492901 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.496752 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.515790 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.626240 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.630070 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.690382 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.691092 281472829518720 cross_device_ops.py:1151] 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 0xffff7c23b5e0> 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]: W0405 20:54:41.783245 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23b5e0> 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 0xffff7c2385e0> 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]: W0405 20:54:41.797430 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2385e0> 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]: I0405 20:54:41.793456 281472829518720 cross_device_ops.py:1151] 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 0xffff7c23c5e0> 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]: W0405 20:54:41.803807 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23c5e0> 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 0xffff7c23c5e0> 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]: W0405 20:54:41.821584 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23c5e0> 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]: I0405 20:54:41.832792 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.827200 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:41.842836 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2581f0> 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]: W0405 20:54:42.125861 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2581f0> 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:epoch 0 finished [worker-3]: I0405 20:54:42.126301 281472829518720 gce_failure_handler_test.py:192] epoch 0 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]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff7c2571f0> 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]: I0405 20:54:42.134640 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: W0405 20:54:42.131164 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2571f0> 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:epoch 0 finished [worker-0]: I0405 20:54:42.131669 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff7c25d1f0> 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 0xffff7c25a1f0> 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]: W0405 20:54:42.138156 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c25a1f0> 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:epoch 0 finished [worker-1]: I0405 20:54:42.138643 281472829518720 gce_failure_handler_test.py:192] epoch 0 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-0]: I0405 20:54:42.141400 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: W0405 20:54:42.132118 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c25d1f0> 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:epoch 0 finished [worker-2]: I0405 20:54:42.132621 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:42.147685 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.178550 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.232136 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.235199 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.232765 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.250895 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.340725 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.341989 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:42.342089 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.350640 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.401109 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.401887 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.409281 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.441609 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.496653 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.499806 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:42.500313 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.499881 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.580387 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.582797 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.604238 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.623448 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.667492 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: INFO:tensorflow:epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-1]: I0405 20:54:42.667822 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: I0405 20:54:42.667831 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-2]: I0405 20:54:42.673266 281472829518720 gce_failure_handler_test.py:192] 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-2]: I0405 20:54:42.684064 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.679163 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.684269 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.692516 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:54:42.743862 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:42.744374 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.743923 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.744243 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 INFO:tensorflow:Termination notice available. I0405 20:54:42.841506 281463400165856 gce_failure_handler_test.py:142] Termination notice available. --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.9/logging/__init__.py", line 1083, in emit msg = self.format(record) File "/usr/lib/python3.9/logging/__init__.py", line 927, in format return fmt.format(record) File "/usr/lib/python3.9/logging/__init__.py", line 663, in format record.message = record.getMessage() File "/usr/lib/python3.9/logging/__init__.py", line 367, in getMessage msg = msg % self.args TypeError: not all arguments converted during string formatting Call stack: File "/usr/lib/python3.9/threading.py", line 937, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner self.run() File "/usr/lib/python3.9/threading.py", line 917, in run self._target(*self._args, **self._kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 696, in _poll_termination_signal self._maybe_set_received_own_sigterm() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/tf_logging.py", line 198, in info get_logger().info(msg, *args, **kwargs) Message: 'Received termination notice.' Arguments: ('single_worker',) --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.9/logging/__init__.py", line 1083, in emit msg = self.format(record) File "/usr/lib/python3.9/logging/__init__.py", line 927, in format return fmt.format(record) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/logging/__init__.py", line 1025, in format return prefix + super(PythonFormatter, self).format(record) File "/usr/lib/python3.9/logging/__init__.py", line 663, in format record.message = record.getMessage() File "/usr/lib/python3.9/logging/__init__.py", line 367, in getMessage msg = msg % self.args TypeError: not all arguments converted during string formatting Call stack: File "/usr/lib/python3.9/threading.py", line 937, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner self.run() File "/usr/lib/python3.9/threading.py", line 917, in run self._target(*self._args, **self._kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 696, in _poll_termination_signal self._maybe_set_received_own_sigterm() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/tf_logging.py", line 198, in info get_logger().info(msg, *args, **kwargs) File "/usr/lib/python3.9/logging/__init__.py", line 1446, in info self._log(INFO, msg, args, **kwargs) File "/usr/lib/python3.9/logging/__init__.py", line 1589, in _log self.handle(record) File "/usr/lib/python3.9/logging/__init__.py", line 1599, in handle self.callHandlers(record) File "/usr/lib/python3.9/logging/__init__.py", line 1661, in callHandlers hdlr.handle(record) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/logging/__init__.py", line 988, in handle return self._current_handler.handle(record) File "/usr/lib/python3.9/logging/__init__.py", line 952, in handle self.emit(record) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/logging/__init__.py", line 925, in emit super(PythonHandler, self).emit(record) Message: 'Received termination notice.' Arguments: ('single_worker',) Exception ignored in: 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 775, in __del__ self._stop_poll_termination_signal_thread() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 734, in _stop_poll_termination_signal_thread self._poll_termination_signal_thread.join() File "/usr/lib/python3.9/threading.py", line 1057, in join [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 raise RuntimeError("cannot join current thread") RuntimeError: cannot join current thread [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]: I0405 20:54:42.840866 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:42.831418 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:42.850621 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.856160 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.937181 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.942179 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.951554 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:42.942536 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.001582 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:43.002177 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.005985 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.006456 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.079509 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.082902 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.083463 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.097285 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:54:43.165028 281472829518720 gce_failure_handler_test.py:192] epoch 2 finished [worker-3]: INFO:tensorflow:epoch 2 finished [worker-3]: I0405 20:54:43.164801 281472829518720 gce_failure_handler_test.py:192] epoch 2 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]: I0405 20:54:43.174020 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:43.174471 281472829518720 cross_device_ops.py:1151] 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-1]: I0405 20:54:43.175281 281472829518720 gce_failure_handler_test.py:192] 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-1]: I0405 20:54:43.184732 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:epoch 2 finished [worker-2]: I0405 20:54:43.186540 281472829518720 gce_failure_handler_test.py:192] epoch 2 finished [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:43.195983 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:43.272276 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:43.260763 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.285579 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.287929 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.395973 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.404302 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.420628 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.440563 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.491074 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:43.491436 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:43.491323 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.491193 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:43.550440 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:43.550504 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:43.551030 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:43.550508 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.604302 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:43.607668 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:43.607762 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.619072 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 3 finished [worker-0]: INFO:tensorflow:epoch 3 finished [worker-3]: I0405 20:54:43.660890 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-0]: I0405 20:54:43.661011 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-1]: INFO:tensorflow:epoch 3 finished [worker-1]: I0405 20:54:43.662400 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-2]: INFO:tensorflow:epoch 3 finished [worker-2]: I0405 20:54:43.665134 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:43.798441 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:43.798469 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.804859 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:43.804919 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.866692 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.866932 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:43.867202 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.869160 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.926733 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:43.926917 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.926773 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:43.936105 281472829518720 cross_device_ops.py:1151] 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:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:43.989268 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:43.989347 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:43.989594 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:43.994561 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:44.044401 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:44.044769 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:44.044427 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:44.044674 281472829518720 cross_device_ops.py:1151] 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: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]: I0405 20:54:44.095833 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:44.096249 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:44.095910 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:44.096375 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-3]: I0405 20:54:44.148125 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: I0405 20:54:44.148262 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: I0405 20:54:44.148403 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0405 20:54:44.148487 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:Training finished. [worker-3]: INFO:tensorflow:Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-3]: I0405 20:54:44.148520 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0405 20:54:44.148644 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0405 20:54:44.148777 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0405 20:54:44.148869 281472829518720 gce_failure_handler_test.py:244] Training finished. I0405 20:54:44.741075 281473304654720 multi_process_runner.py:646] worker-0 exit code: 0 I0405 20:54:44.741391 281473304654720 multi_process_runner.py:646] worker-1 exit code: 0 I0405 20:54:44.741525 281473304654720 multi_process_runner.py:646] worker-2 exit code: 0 I0405 20:54:44.741646 281473304654720 multi_process_runner.py:646] worker-3 exit code: 0 I0405 20:54:44.744643 281473304654720 multi_process_runner.py:662] Joining log reading threads. I0405 20:54:44.744882 281473304654720 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker): 10.97s I0405 20:54:44.967160 281473304654720 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker): 10.97s [ OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 23208 I0405 20:54:45.030278 281473304654720 test_util.py:3794] Using local port 23208 INFO:tensorflow:Using local port 23100 I0405 20:54:45.030909 281473304654720 test_util.py:3794] Using local port 23100 INFO:tensorflow:Using local port 15873 I0405 20:54:45.031309 281473304654720 test_util.py:3794] Using local port 15873 INFO:tensorflow:Using local port 17535 I0405 20:54:45.031697 281473304654720 test_util.py:3794] Using local port 17535 INFO:tensorflow:Cluster starting. I0405 20:54:45.070163 281473304654720 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0405 20:54:45.108743 281472829518720 multi_process_runner.py:840] Subprocess with PID 3175322 (worker, 0) is now being started. [worker-0]: I0405 20:54:45.109158 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23208", "localhost:23100", "localhost:15873", "localhost:17535"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0405 20:54:45.128894 281472829518720 multi_process_runner.py:840] Subprocess with PID 3175326 (worker, 1) is now being started. [worker-1]: I0405 20:54:45.129322 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23208", "localhost:23100", "localhost:15873", "localhost:17535"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:54:45.154252 281472829518720 multi_process_runner.py:840] Subprocess with PID 3175329 (worker, 2) is now being started. [worker-3]: I0405 20:54:45.154568 281472829518720 multi_process_runner.py:840] Subprocess with PID 3175350 (worker, 3) is now being started. [worker-2]: I0405 20:54:45.154732 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23208", "localhost:23100", "localhost:15873", "localhost:17535"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0405 20:54:45.155009 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23208", "localhost:23100", "localhost:15873", "localhost:17535"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-05 20:54:45.177275: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23208 [worker-0]: 2023-04-05 20:54:45.185149: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 6177238703530635983 [worker-0]: 2023-04-05 20:54:45.186463: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: 2023-04-05 20:54:45.193572: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:15873 [worker-3]: 2023-04-05 20:54:45.195059: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17535 [worker-0]: 2023-04-05 20:54:45.202560: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 6278292319245504479 [worker-2]: 2023-04-05 20:54:45.202835: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-05 20:54:45.202904: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:54:45.202625: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 9532827766009654094 [worker-1]: 2023-04-05 20:54:45.207022: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23100 [worker-0]: 2023-04-05 20:54:45.211940: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 16950136396762286466 [worker-1]: 2023-04-05 20:54:45.212217: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [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-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: 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]: I0405 20:54:45.214415 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:54:45.214362 281472829518720 collective_all_reduce_strategy.py:532] 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-3]: I0405 20:54:45.214359 281472829518720 collective_all_reduce_strategy.py:532] 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-1]: I0405 20:54:45.214591 281472829518720 collective_all_reduce_strategy.py:532] 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:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-2]: I0405 20:54:45.270890 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-3]: I0405 20:54:45.270892 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-1]: I0405 20:54:45.270892 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-3]: INFO:tensorflow:Check health not enabled. [worker-1]: INFO:tensorflow:Check health not enabled. [worker-2]: I0405 20:54:45.271336 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-3]: I0405 20:54:45.271335 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-1]: I0405 20:54:45.271337 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23208', 'localhost:23100', 'localhost:15873', 'localhost:17535']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23208', 'localhost:23100', 'localhost:15873', 'localhost:17535']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23208', 'localhost:23100', 'localhost:15873', 'localhost:17535']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:54:45.271504 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23208', 'localhost:23100', 'localhost:15873', 'localhost:17535']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0405 20:54:45.271505 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23208', 'localhost:23100', 'localhost:15873', 'localhost:17535']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0405 20:54:45.271507 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23208', 'localhost:23100', 'localhost:15873', 'localhost:17535']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0405 20:54:45.275354 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0405 20:54:45.275947 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23208', 'localhost:23100', 'localhost:15873', 'localhost:17535']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0405 20:54:45.276150 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23208', 'localhost:23100', 'localhost:15873', 'localhost:17535']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0405 20:54:45.329076 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0405 20:54:45.329933 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: 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-3]: I0405 20:54:45.330278 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0405 20:54:45.330714 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: I0405 20:54:45.329915 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0405 20:54:45.331650 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: Traceback (most recent call last): [worker-1]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-1]: I0405 20:54:45.332073 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: W0405 20:54:45.332477 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: I0405 20:54:45.332654 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: self.run() [worker-1]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-1]: self._target(*self._args, **self._kwargs) [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-1]: if self._termination_watcher_fn(): [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0405 20:54:45.347133 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-0]: Traceback (most recent call last): [worker-0]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-0]: self._target(*self._args, **self._kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-0]: if self._termination_watcher_fn(): [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0405 20:54:45.356204 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-2]: INFO:tensorflow:Start polling for termination signal. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: W0405 20:54:45.356637 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: I0405 20:54:45.357141 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-2]: Traceback (most recent call last): [worker-0]: Instructions for updating: [worker-3]: Traceback (most recent call last): [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: INFO:tensorflow:Start training at 0 [worker-2]: I0405 20:54:45.358041 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: I0405 20:54:45.356807 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: W0405 20:54:45.358358 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: I0405 20:54:45.366417 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: Instructions for updating: [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: Instructions for updating: [worker-2]: INFO:tensorflow:Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: I0405 20:54:45.358663 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: W0405 20:54:45.366940 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: self.run() [worker-3]: Instructions for updating: [worker-2]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: self._target(*self._args, **self._kwargs) [worker-3]: INFO:tensorflow:Start training at 0 [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: I0405 20:54:45.367115 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: if self._termination_watcher_fn(): [worker-3]: self.run() [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: self._target(*self._args, **self._kwargs) [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: if self._termination_watcher_fn(): [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [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]: I0405 20:54:45.439153 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.472918 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.489089 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.489849 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.554962 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:54:45.555888 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:45.556016 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.581172 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.644321 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.644978 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.657210 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.656894 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:45.709091 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:45.709811 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:45.710038 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:45.708666 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.760857 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.805177 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.900739 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:45.941057 281472829518720 cross_device_ops.py:1151] 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 0xffff7c23b5e0> 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 0xffff7c2385e0> 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]: W0405 20:54:46.164125 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2385e0> 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]: W0405 20:54:46.158251 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23b5e0> 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 0xffff7c23b5e0> 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]: W0405 20:54:46.170558 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23b5e0> 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 0xffff7c23e5e0> 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]: W0405 20:54:46.176494 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23e5e0> 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]: I0405 20:54:46.174376 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.190653 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.210757 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.200519 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2551f0> 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 0xffff7c2551f0> 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 0xffff7c2581f0> 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 0xffff7c2561f0> 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]: W0405 20:54:46.249522 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2551f0> 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]: W0405 20:54:46.249641 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2551f0> 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]: W0405 20:54:46.249717 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2581f0> 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:epoch 0 finished [worker-2]: W0405 20:54:46.249772 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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:epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-3]: I0405 20:54:46.250045 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-0]: I0405 20:54:46.250129 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0405 20:54:46.250129 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0405 20:54:46.250221 281472829518720 gce_failure_handler_test.py:192] epoch 0 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-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]: I0405 20:54:46.258482 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:46.258278 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:46.258267 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:46.258578 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:46.314526 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:46.314545 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.317739 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.318505 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.376622 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.377393 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:46.392283 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:46.392378 281472829518720 cross_device_ops.py:1151] 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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:46.443520 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:46.443425 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:46.443726 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:46.443561 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.501030 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.502299 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.495600 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.514008 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.569669 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.571683 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.577158 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.571791 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 1 finished [worker-0]: INFO:tensorflow:epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-3]: I0405 20:54:46.637978 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0405 20:54:46.638429 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-1]: I0405 20:54:46.638449 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: I0405 20:54:46.638157 281472829518720 gce_failure_handler_test.py:192] 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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:46.647462 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:54:46.647841 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.652125 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.667342 281472829518720 cross_device_ops.py:1151] 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-3]: I0405 20:54:46.726793 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:54:46.727336 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:46.727509 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.731010 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.781497 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.784588 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.785235 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.795290 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:46.847439 281472829518720 cross_device_ops.py:1151] 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 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CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:47.967999 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:47.969008 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:48.024317 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:54:48.024488 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:54:48.024728 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:54:48.026058 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-3]: I0405 20:54:48.070945 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-0]: I0405 20:54:48.071160 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-2]: I0405 20:54:48.071337 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-3]: I0405 20:54:48.071236 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0405 20:54:48.071624 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0405 20:54:48.071565 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:epoch 4 finished [worker-1]: I0405 20:54:48.076498 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0405 20:54:48.076828 281472829518720 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0405 20:54:50.121892 281473304654720 gce_failure_handler_test.py:411] restarting workers INFO:tensorflow:workers restarted I0405 20:54:50.153883 281473304654720 gce_failure_handler_test.py:415] workers restarted [worker-0]: I0405 20:54:50.160773 281472829518720 multi_process_runner.py:840] Subprocess with PID 3195161 (worker, 0) is now being started. [worker-0]: I0405 20:54:50.161192 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23208", "localhost:23100", "localhost:15873", "localhost:17535"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0405 20:54:50.169468 281472829518720 multi_process_runner.py:840] Subprocess with PID 3195174 (worker, 1) is now being started. [worker-1]: I0405 20:54:50.169932 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23208", "localhost:23100", "localhost:15873", "localhost:17535"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:54:50.175488 281472829518720 multi_process_runner.py:840] Subprocess with PID 3195214 (worker, 2) is now being started. [worker-2]: I0405 20:54:50.175968 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23208", "localhost:23100", "localhost:15873", "localhost:17535"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-0]: E0405 20:54:50.183399937 3195161 server_chttp2.cc:40] {"created":"@1680728090.183281284","description":"No address added out of total 1 resolved","file":"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/server/chttp2_server.cc","file_line":395,"referenced_errors":[{"created":"@1680728090.183276589","description":"Failed to add any wildcard listeners","file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_posix.cc","file_line":341,"referenced_errors":[{"created":"@1680728090.183248341","description":"Unable to configure socket","fd":9,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":215,"referenced_errors":[{"created":"@1680728090.183237980","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]},{"created":"@1680728090.183275579","description":"Unable to configure socket","fd":9,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":215,"referenced_errors":[{"created":"@1680728090.183268018","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]}]}]} [worker-0]: 2023-04-05 20:54:50.183528: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:601] UNKNOWN: Could not start gRPC server [worker-0]: 2023-04-05 20:54:50.183805: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:699] Could not start gRPC server [worker-3]: I0405 20:54:50.184121 281472829518720 multi_process_runner.py:840] Subprocess with PID 3195345 (worker, 3) is now being started. [worker-3]: I0405 20:54:50.184539 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23208", "localhost:23100", "localhost:15873", "localhost:17535"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: Process _Process-22: [worker-0]: Traceback (most recent call last): [worker-0]: File "/usr/lib/python3.9/multiprocessing/process.py", line 315, in _bootstrap [worker-0]: self.run() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv [worker-0]: return self._actual_run() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl [worker-0]: app.run(lambda _: self._run_impl()) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run [worker-0]: _run_main(main, args) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main [worker-0]: sys.exit(main(argv)) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in [worker-0]: app.run(lambda _: self._run_impl()) [worker-0]: File "/usr/lib/python3.9/multiprocessing/process.py", line 108, in run [worker-0]: self._target(*self._args, **self._kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__ [worker-0]: six.reraise(*info.exc_info) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise [worker-0]: raise value [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained [worker-0]: return_value = fn(*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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 134, in worker_fn [worker-0]: strategy = collective_all_reduce_strategy.CollectiveAllReduceStrategy() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 188, in __init__ [worker-0]: CollectiveAllReduceExtended( [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 340, in __init__ [worker-0]: self._initialize_strategy(self._cluster_resolver, devices=devices) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 359, in _initialize_strategy [worker-0]: self._initialize_multi_worker(cluster_resolver) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 531, in _initialize_multi_worker [worker-0]: context.context().ensure_initialized() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 595, in ensure_initialized [worker-0]: pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str) [worker-0]: tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server [worker-1]: 2023-04-05 20:54:50.206980: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23100 [worker-2]: 2023-04-05 20:54:50.212655: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:15873 [worker-3]: 2023-04-05 20:54:50.220533: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17535 INFO:tensorflow:Termination notice available. I0405 20:55:04.103513 281463391711712 gce_failure_handler_test.py:142] Termination notice available. --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.9/logging/__init__.py", line 1083, in emit msg = self.format(record) File "/usr/lib/python3.9/logging/__init__.py", line 927, in format return fmt.format(record) File "/usr/lib/python3.9/logging/__init__.py", line 663, in format record.message = record.getMessage() File "/usr/lib/python3.9/logging/__init__.py", line 367, in getMessage msg = msg % self.args TypeError: not all arguments converted during string formatting Call stack: File "/usr/lib/python3.9/threading.py", line 937, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner self.run() File "/usr/lib/python3.9/threading.py", line 917, in run self._target(*self._args, **self._kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 696, in _poll_termination_signal self._maybe_set_received_own_sigterm() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/tf_logging.py", line 198, in info get_logger().info(msg, *args, **kwargs) Message: 'Received termination notice.' Arguments: ('single_worker',) --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.9/logging/__init__.py", line 1083, in emit msg = self.format(record) File "/usr/lib/python3.9/logging/__init__.py", line 927, in format return fmt.format(record) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/logging/__init__.py", line 1025, in format return prefix + super(PythonFormatter, self).format(record) File "/usr/lib/python3.9/logging/__init__.py", line 663, in format record.message = record.getMessage() File "/usr/lib/python3.9/logging/__init__.py", line 367, in getMessage msg = msg % self.args TypeError: not all arguments converted during string formatting Call stack: File "/usr/lib/python3.9/threading.py", line 937, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner self.run() File "/usr/lib/python3.9/threading.py", line 917, in run self._target(*self._args, **self._kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 696, in _poll_termination_signal self._maybe_set_received_own_sigterm() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/tf_logging.py", line 198, in info get_logger().info(msg, *args, **kwargs) File "/usr/lib/python3.9/logging/__init__.py", line 1446, in info self._log(INFO, msg, args, **kwargs) File "/usr/lib/python3.9/logging/__init__.py", line 1589, in _log self.handle(record) File "/usr/lib/python3.9/logging/__init__.py", line 1599, in handle self.callHandlers(record) File "/usr/lib/python3.9/logging/__init__.py", line 1661, in callHandlers hdlr.handle(record) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/logging/__init__.py", line 988, in handle return self._current_handler.handle(record) File "/usr/lib/python3.9/logging/__init__.py", line 952, in handle self.emit(record) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/logging/__init__.py", line 925, in emit super(PythonHandler, self).emit(record) Message: 'Received termination notice.' Arguments: ('single_worker',) Exception ignored in: 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 775, in __del__ self._stop_poll_termination_signal_thread() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 734, in _stop_poll_termination_signal_thread self._poll_termination_signal_thread.join() File "/usr/lib/python3.9/threading.py", line 1057, in join raise RuntimeError("cannot join current thread") RuntimeError: cannot join current thread E0405 20:59:00.154626 281473304654720 multi_process_runner.py:626] Timeout when joining for child processes. Terminating... I0405 20:59:00.155055 281473304654720 multi_process_runner.py:715] worker-0 has already exited. Not terminating. I0405 20:59:00.155323 281473304654720 multi_process_runner.py:721] worker-1 terminated with signal . I0405 20:59:00.155529 281473304654720 multi_process_runner.py:721] worker-2 terminated with signal . I0405 20:59:00.155706 281473304654720 multi_process_runner.py:721] worker-3 terminated with signal . [worker-3]: 2023-04-05 20:59:00.241904: W tensorflow/tsl/distributed_runtime/preemption/preemption_notifier.cc:89] SIGTERM caught at 2023-04-05T20:59:00.24182865+00:00 [worker-3]: 2023-04-05 20:59:00.242179: I tensorflow/core/common_runtime/eager/context_distributed_manager.cc:740] Preemption not exported to coordination service: UNAVAILABLE: failed to connect to all addresses [worker-3]: Additional GRPC error information from remote target /job:worker/replica:0/task:0: [worker-3]: :{"created":"@1680728340.242021150","description":"Failed to pick subchannel","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/client_channel.cc","file_line":3940,"referenced_errors":[{"created":"@1680728340.183223956","description":"failed to connect to all addresses","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/lb_policy/pick_first/pick_first.cc","file_line":392,"grpc_status":14}]} [worker-1]: 2023-04-05 20:59:00.248668: W tensorflow/tsl/distributed_runtime/preemption/preemption_notifier.cc:89] SIGTERM caught at 2023-04-05T20:59:00.248627496+00:00 [worker-1]: 2023-04-05 20:59:00.248840: I tensorflow/core/common_runtime/eager/context_distributed_manager.cc:740] Preemption not exported to coordination service: UNAVAILABLE: failed to connect to all addresses [worker-1]: Additional GRPC error information from remote target /job:worker/replica:0/task:0: [worker-1]: :{"created":"@1680728340.248723761","description":"Failed to pick subchannel","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/client_channel.cc","file_line":3940,"referenced_errors":[{"created":"@1680728339.858498488","description":"failed to connect to all addresses","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/lb_policy/pick_first/pick_first.cc","file_line":392,"grpc_status":14}]} [worker-2]: 2023-04-05 20:59:00.269498: W tensorflow/tsl/distributed_runtime/preemption/preemption_notifier.cc:89] SIGTERM caught at 2023-04-05T20:59:00.269456866+00:00 [worker-2]: 2023-04-05 20:59:00.269674: I tensorflow/core/common_runtime/eager/context_distributed_manager.cc:740] Preemption not exported to coordination service: UNAVAILABLE: failed to connect to all addresses [worker-2]: Additional GRPC error information from remote target /job:worker/replica:0/task:0: [worker-2]: :{"created":"@1680728340.269561107","description":"Failed to pick subchannel","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/client_channel.cc","file_line":3940,"referenced_errors":[{"created":"@1680728340.230855967","description":"failed to connect to all addresses","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/lb_policy/pick_first/pick_first.cc","file_line":392,"grpc_status":14}]} E0405 20:59:30.155956 281473304654720 multi_process_runner.py:632] Timeout when waiting for child processes to print stacktrace. Sending SIGKILL... I0405 20:59:30.156185 281473304654720 multi_process_runner.py:715] worker-0 has already exited. Not terminating. I0405 20:59:30.157234 281473304654720 multi_process_runner.py:721] worker-1 terminated with signal . I0405 20:59:30.158243 281473304654720 multi_process_runner.py:721] worker-2 terminated with signal . I0405 20:59:30.159167 281473304654720 multi_process_runner.py:721] worker-3 terminated with signal . INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker): 285.54s I0405 20:59:30.509819 281473304654720 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker): 285.54s [ FAILED ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 24594 I0405 20:59:30.514672 281473304654720 test_util.py:3794] Using local port 24594 INFO:tensorflow:Using local port 17117 I0405 20:59:30.515073 281473304654720 test_util.py:3794] Using local port 17117 INFO:tensorflow:Using local port 17429 I0405 20:59:30.515453 281473304654720 test_util.py:3794] Using local port 17429 INFO:tensorflow:Using local port 20112 I0405 20:59:30.515822 281473304654720 test_util.py:3794] Using local port 20112 INFO:tensorflow:Cluster starting. I0405 20:59:30.530519 281473304654720 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0405 20:59:30.570745 281472829518720 multi_process_runner.py:840] Subprocess with PID 3210940 (worker, 0) is now being started. [worker-0]: I0405 20:59:30.571122 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24594", "localhost:17117", "localhost:17429", "localhost:20112"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0405 20:59:30.577815 281472829518720 multi_process_runner.py:840] Subprocess with PID 3210943 (worker, 1) is now being started. [worker-1]: I0405 20:59:30.578177 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24594", "localhost:17117", "localhost:17429", "localhost:20112"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:59:30.584503 281472829518720 multi_process_runner.py:840] Subprocess with PID 3210945 (worker, 2) is now being started. [worker-2]: I0405 20:59:30.584887 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24594", "localhost:17117", "localhost:17429", "localhost:20112"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0405 20:59:30.590190 281472829518720 multi_process_runner.py:840] Subprocess with PID 3210948 (worker, 3) is now being started. [worker-3]: I0405 20:59:30.590555 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24594", "localhost:17117", "localhost:17429", "localhost:20112"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-05 20:59:30.603193: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:24594 [worker-0]: 2023-04-05 20:59:30.608447: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 9423940151004415388 [worker-0]: 2023-04-05 20:59:30.608998: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-1]: 2023-04-05 20:59:30.609977: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17117 [worker-0]: 2023-04-05 20:59:30.614492: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 3552756877434600674 [worker-1]: 2023-04-05 20:59:30.614667: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: 2023-04-05 20:59:30.616137: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17429 [worker-0]: 2023-04-05 20:59:30.621436: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 11262125692933262951 [worker-2]: 2023-04-05 20:59:30.621688: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-05 20:59:30.622194: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:20112 [worker-0]: 2023-04-05 20:59:30.627711: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 6949059055828562244 [worker-3]: 2023-04-05 20:59:30.627964: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: 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-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-1]: I0405 20:59:30.629784 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:59:30.629784 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:59:30.629784 281472829518720 collective_all_reduce_strategy.py:532] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: I0405 20:59:30.630111 281472829518720 collective_all_reduce_strategy.py:532] 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-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-3]: I0405 20:59:30.680938 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-2]: I0405 20:59:30.680938 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: I0405 20:59:30.680944 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-1]: I0405 20:59:30.680938 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-2]: INFO:tensorflow:Check health not enabled. [worker-0]: INFO:tensorflow:Check health not enabled. [worker-1]: INFO:tensorflow:Check health not enabled. [worker-3]: I0405 20:59:30.681389 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-2]: I0405 20:59:30.681389 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: I0405 20:59:30.681389 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-1]: I0405 20:59:30.681390 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:59:30.681560 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0405 20:59:30.681560 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0405 20:59:30.681559 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0405 20:59:30.681560 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0405 20:59:30.705090 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0405 20:59:30.705638 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-2]: I0405 20:59:30.705652 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0405 20:59:30.705726 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0405 20:59:30.705698 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0405 20:59:30.706206 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: I0405 20:59:30.706265 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0405 20:59:30.706258 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: Traceback (most recent call last): [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-0]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Traceback (most recent call last): [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0405 20:59:30.706005 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: Traceback (most recent call last): [worker-2]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-3]: Traceback (most recent call last): [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-2]: I0405 20:59:30.706580 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: Instructions for updating: [worker-3]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-1]: I0405 20:59:30.706630 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: I0405 20:59:30.706633 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: W0405 20:59:30.706406 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-1]: Instructions for updating: [worker-3]: Instructions for updating: [worker-0]: 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-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: W0405 20:59:30.706980 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: W0405 20:59:30.706928 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: W0405 20:59:30.706982 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-0]: INFO:tensorflow:Start training at 0 [worker-2]: Instructions for updating: [worker-3]: Instructions for updating: [worker-0]: I0405 20:59:30.706624 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [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-0]: self.run() [worker-1]: INFO:tensorflow:Start training at 0 [worker-2]: INFO:tensorflow:Start training at 0 [worker-3]: INFO:tensorflow:Start training at 0 [worker-0]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-1]: I0405 20:59:30.707148 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: I0405 20:59:30.707211 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: I0405 20:59:30.707152 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: self._target(*self._args, **self._kwargs) [worker-1]: self.run() [worker-2]: self.run() [worker-3]: self.run() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-1]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-2]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-3]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-0]: if self._termination_watcher_fn(): [worker-1]: self._target(*self._args, **self._kwargs) [worker-3]: self._target(*self._args, **self._kwargs) [worker-2]: self._target(*self._args, **self._kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: if self._termination_watcher_fn(): [worker-2]: if self._termination_watcher_fn(): [worker-3]: if self._termination_watcher_fn(): [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [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]: I0405 20:59:30.799335 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:30.799335 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.802802 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.803130 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.851886 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:30.851959 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:30.852005 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:30.852250 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.894126 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.894164 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.894413 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:30.894537 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.935199 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.935312 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:30.935509 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:30.935503 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.976027 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:30.976127 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:30.976356 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:30.976365 281472829518720 cross_device_ops.py:1151] 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 0xffff7c23a5e0> 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 0xffff7c2365e0> 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]: W0405 20:59:31.010740 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23a5e0> 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 0xffff7c23a5e0> 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]: W0405 20:59:31.010907 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2365e0> 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 0xffff7c2395e0> 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]: W0405 20:59:31.011049 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23a5e0> 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]: W0405 20:59:31.011085 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2395e0> 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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:31.017099 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:31.017181 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:31.017444 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:31.017380 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2541f0> 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 0xffff7c2531f0> 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]: W0405 20:59:31.051764 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2541f0> 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 0xffff7c2551f0> 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 0xffff7c2551f0> 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:epoch 0 finished [worker-0]: W0405 20:59:31.051925 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2531f0> 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]: W0405 20:59:31.052065 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2551f0> 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]: I0405 20:59:31.052000 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: W0405 20:59:31.052101 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2551f0> 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:epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-0]: I0405 20:59:31.052161 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0405 20:59:31.052308 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0405 20:59:31.052336 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:31.058259 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:31.058352 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:31.058547 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:31.058545 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:31.099530 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:31.099691 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:31.099834 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:31.099850 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:31.140407 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:31.140496 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:31.140660 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:31.140666 281472829518720 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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]: I0405 20:59:31.264287 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:31.264506 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:31.264593 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 1 finished [worker-0]: INFO:tensorflow:epoch 1 finished [worker-3]: I0405 20:59:31.299604 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-0]: I0405 20:59:31.299731 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0405 20:59:31.299929 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: I0405 20:59:31.299891 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-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, 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20:59:31.346692 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:31.346861 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:31.346910 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:31.387120 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:31.387232 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:31.387423 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:31.387455 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:31.427847 281472829518720 cross_device_ops.py:1151] 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 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cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:31.468662 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:31.509344 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective 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Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-3]: I0405 20:59:32.134481 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-0]: I0405 20:59:32.134627 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-1]: I0405 20:59:32.134769 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0405 20:59:32.134807 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-3]: I0405 20:59:32.134683 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0405 20:59:32.134827 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-1]: I0405 20:59:32.134975 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0405 20:59:32.135009 281472829518720 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0405 20:59:33.566410 281473304654720 gce_failure_handler_test.py:411] restarting workers INFO:tensorflow:workers restarted I0405 20:59:33.594697 281473304654720 gce_failure_handler_test.py:415] workers restarted [worker-0]: I0405 20:59:33.602722 281472829518720 multi_process_runner.py:840] Subprocess with PID 3212427 (worker, 0) is now being started. [worker-0]: I0405 20:59:33.603102 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24594", "localhost:17117", "localhost:17429", "localhost:20112"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0405 20:59:33.609744 281472829518720 multi_process_runner.py:840] Subprocess with PID 3212430 (worker, 1) is now being started. [worker-1]: I0405 20:59:33.610120 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24594", "localhost:17117", "localhost:17429", "localhost:20112"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:59:33.616216 281472829518720 multi_process_runner.py:840] Subprocess with PID 3212432 (worker, 2) is now being started. [worker-2]: I0405 20:59:33.616596 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24594", "localhost:17117", "localhost:17429", "localhost:20112"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0405 20:59:33.622843 281472829518720 multi_process_runner.py:840] Subprocess with PID 3212435 (worker, 3) is now being started. [worker-3]: I0405 20:59:33.623219 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24594", "localhost:17117", "localhost:17429", "localhost:20112"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-05 20:59:33.636348: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:24594 [worker-0]: 2023-04-05 20:59:33.642396: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 9049753266351336903 [worker-0]: 2023-04-05 20:59:33.642652: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-1]: 2023-04-05 20:59:33.643012: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17117 [worker-0]: 2023-04-05 20:59:33.647816: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 13148011321594350803 [worker-1]: 2023-04-05 20:59:33.647983: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: 2023-04-05 20:59:33.648929: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17429 [worker-0]: 2023-04-05 20:59:33.652885: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 5586084103840702283 [worker-2]: 2023-04-05 20:59:33.653116: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-05 20:59:33.655361: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:20112 [worker-0]: 2023-04-05 20:59:33.660721: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 14433088094992813580 [worker-3]: 2023-04-05 20:59:33.660888: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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-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-0]: I0405 20:59:33.662339 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:59:33.662338 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:59:33.662340 281472829518720 collective_all_reduce_strategy.py:532] 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-3]: I0405 20:59:33.663120 281472829518720 collective_all_reduce_strategy.py:532] 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-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-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-1]: I0405 20:59:33.714113 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-0]: I0405 20:59:33.714106 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-2]: I0405 20:59:33.714105 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-3]: I0405 20:59:33.714110 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-0]: INFO:tensorflow:Check health not enabled. [worker-2]: INFO:tensorflow:Check health not enabled. [worker-3]: INFO:tensorflow:Check health not enabled. [worker-1]: I0405 20:59:33.714568 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: I0405 20:59:33.714568 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-2]: I0405 20:59:33.714568 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:59:33.714567 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0405 20:59:33.714736 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0405 20:59:33.714736 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0405 20:59:33.714737 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:59:33.714737 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24594', 'localhost:17117', 'localhost:17429', 'localhost:20112']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0405 20:59:33.738240 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0405 20:59:33.738811 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0405 20:59:33.738868 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-1]: I0405 20:59:33.738912 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0405 20:59:33.739086 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0405 20:59:33.739402 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: Traceback (most recent call last): [worker-1]: I0405 20:59:33.739444 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: I0405 20:59:33.739652 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-0]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Traceback (most recent call last): [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0405 20:59:33.739187 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: Traceback (most recent call last): [worker-2]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-3]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-2]: I0405 20:59:33.739771 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Traceback (most recent call last): [worker-3]: I0405 20:59:33.740033 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-1]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: I0405 20:59:33.739825 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: Instructions for updating: [worker-3]: Instructions for updating: [worker-0]: W0405 20:59:33.739555 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: W0405 20:59:33.740118 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Instructions for updating: [worker-3]: W0405 20:59:33.740384 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: INFO:tensorflow:Start training at 0 [worker-3]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: W0405 20:59:33.740173 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: I0405 20:59:33.739776 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: INFO:tensorflow:Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Instructions for updating: [worker-0]: self.run() [worker-2]: I0405 20:59:33.740396 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: INFO:tensorflow:Start training at 0 [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-2]: self.run() [worker-3]: I0405 20:59:33.740662 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: INFO:tensorflow:Start training at 0 [worker-0]: self._target(*self._args, **self._kwargs) [worker-2]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-3]: self.run() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-1]: I0405 20:59:33.740340 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: self._target(*self._args, **self._kwargs) [worker-3]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-0]: if self._termination_watcher_fn(): [worker-1]: self.run() [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: self._target(*self._args, **self._kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-2]: if self._termination_watcher_fn(): [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: self._target(*self._args, **self._kwargs) [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: if self._termination_watcher_fn(): [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: if self._termination_watcher_fn(): [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:33.833400 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:33.833432 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:33.833396 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:33.833398 281472829518720 cross_device_ops.py:1151] 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: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]: I0405 20:59:33.882965 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:33.882964 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:33.883112 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:33.883162 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:33.929316 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:33.929630 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:33.929669 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:33.930232 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:33.970498 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:33.970766 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:33.970831 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:33.970846 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:34.011076 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:59:34.011321 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:34.011450 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:34.011451 281472829518720 cross_device_ops.py:1151] 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 0xffff7c23a5e0> 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 0xffff7c2365e0> 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]: W0405 20:59:34.045694 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23a5e0> 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 0xffff7c2385e0> 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 0xffff7c2385e0> 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]: W0405 20:59:34.045836 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2365e0> 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]: W0405 20:59:34.046027 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2385e0> 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]: W0405 20:59:34.045972 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2385e0> 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]: I0405 20:59:34.051917 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:59:34.052121 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:34.052181 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:34.052244 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2561f0> 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 0xffff7c2541f0> 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 0xffff7c2561f0> 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 0xffff7c2561f0> 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]: W0405 20:59:34.086373 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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]: W0405 20:59:34.086502 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2541f0> 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]: W0405 20:59:34.086652 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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:epoch 0 finished [worker-2]: W0405 20:59:34.086693 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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:epoch 0 finished [worker-3]: I0405 20:59:34.086598 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-0]: I0405 20:59:34.086730 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0405 20:59:34.086919 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0405 20:59:34.086879 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:34.092759 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:34.092874 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:34.093045 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:34.093023 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 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= 1 [worker-1]: I0405 20:59:34.342644 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:34.382825 281472829518720 cross_device_ops.py:1151] 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 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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]: I0405 20:59:34.423889 281472829518720 cross_device_ops.py:1151] 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, 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= 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-0]: I0405 20:59:34.586668 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:34.586804 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:34.586846 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:34.627060 281472829518720 cross_device_ops.py:1151] 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 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20:59:35.191294 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:35.191399 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:35.191425 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:35.231516 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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= 1 [worker-1]: I0405 20:59:35.231923 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-3]: I0405 20:59:35.266231 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-0]: I0405 20:59:35.266362 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-1]: I0405 20:59:35.266511 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0405 20:59:35.266544 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: I0405 20:59:35.266419 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-0]: I0405 20:59:35.266553 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0405 20:59:35.266728 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0405 20:59:35.266701 281472829518720 gce_failure_handler_test.py:244] Training finished. I0405 20:59:35.576997 281473304654720 multi_process_runner.py:646] worker-0 exit code: 0 I0405 20:59:35.577304 281473304654720 multi_process_runner.py:646] worker-1 exit code: 0 I0405 20:59:35.577433 281473304654720 multi_process_runner.py:646] worker-2 exit code: 0 I0405 20:59:35.577552 281473304654720 multi_process_runner.py:646] worker-3 exit code: 0 I0405 20:59:35.579763 281473304654720 multi_process_runner.py:662] Joining log reading threads. I0405 20:59:35.579970 281473304654720 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker): 5.18s I0405 20:59:35.696372 281473304654720 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker): 5.18s [ OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 24751 I0405 20:59:35.698040 281473304654720 test_util.py:3794] Using local port 24751 INFO:tensorflow:Using local port 16525 I0405 20:59:35.698441 281473304654720 test_util.py:3794] Using local port 16525 INFO:tensorflow:Using local port 19497 I0405 20:59:35.698821 281473304654720 test_util.py:3794] Using local port 19497 INFO:tensorflow:Using local port 16174 I0405 20:59:35.699192 281473304654720 test_util.py:3794] Using local port 16174 INFO:tensorflow:Cluster starting. I0405 20:59:35.713643 281473304654720 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0405 20:59:35.749336 281472829518720 multi_process_runner.py:840] Subprocess with PID 3213935 (worker, 0) is now being started. [worker-0]: I0405 20:59:35.749728 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24751", "localhost:16525", "localhost:19497", "localhost:16174"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0405 20:59:35.756071 281472829518720 multi_process_runner.py:840] Subprocess with PID 3213938 (worker, 1) is now being started. [worker-1]: I0405 20:59:35.756469 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24751", "localhost:16525", "localhost:19497", "localhost:16174"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:59:35.762971 281472829518720 multi_process_runner.py:840] Subprocess with PID 3213940 (worker, 2) is now being started. [worker-3]: I0405 20:59:35.770291 281472829518720 multi_process_runner.py:840] Subprocess with PID 3213943 (worker, 3) is now being started. [worker-2]: I0405 20:59:35.763345 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24751", "localhost:16525", "localhost:19497", "localhost:16174"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0405 20:59:35.770672 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24751", "localhost:16525", "localhost:19497", "localhost:16174"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-05 20:59:35.783138: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:24751 [worker-0]: 2023-04-05 20:59:35.789209: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 15140324399329079022 [worker-1]: 2023-04-05 20:59:35.789385: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16525 [worker-0]: 2023-04-05 20:59:35.789611: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:59:35.793806: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 10913865995999564149 [worker-1]: 2023-04-05 20:59:35.794500: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: 2023-04-05 20:59:35.795870: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:19497 [worker-0]: 2023-04-05 20:59:35.800437: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 8282528296564701249 [worker-2]: 2023-04-05 20:59:35.800816: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-05 20:59:35.802885: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16174 [worker-0]: 2023-04-05 20:59:35.806965: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 15436780513298414814 [worker-3]: 2023-04-05 20:59:35.807127: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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-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-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-0]: I0405 20:59:35.808583 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:59:35.808583 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:59:35.808582 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:59:35.808705 281472829518720 collective_all_reduce_strategy.py:532] 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-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-1]: I0405 20:59:35.860245 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: I0405 20:59:35.860258 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: I0405 20:59:35.860245 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-3]: I0405 20:59:35.860249 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-2]: INFO:tensorflow:Check health not enabled. [worker-0]: INFO:tensorflow:Check health not enabled. [worker-3]: INFO:tensorflow:Check health not enabled. [worker-1]: I0405 20:59:35.860700 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: I0405 20:59:35.860700 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-2]: I0405 20:59:35.860700 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-3]: I0405 20:59:35.860700 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0405 20:59:35.860872 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0405 20:59:35.860872 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0405 20:59:35.860871 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:59:35.860872 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0405 20:59:35.884374 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0405 20:59:35.884960 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-2]: I0405 20:59:35.884985 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0405 20:59:35.885098 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0405 20:59:35.885493 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0405 20:59:35.885619 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: Traceback (most recent call last): [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Traceback (most recent call last): [worker-0]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-1]: Traceback (most recent call last): [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-3]: I0405 20:59:35.887580 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: I0405 20:59:35.885346 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-1]: I0405 20:59:35.886006 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: INFO:tensorflow:Start polling for termination 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: I0405 20:59:35.885856 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: I0405 20:59:35.888305 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: Instructions for updating: [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: W0405 20:59:35.885709 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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]: Traceback (most recent call last): [worker-0]: Instructions for updating: [worker-1]: W0405 20:59:35.886361 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Instructions for updating: [worker-3]: I0405 20:59:35.888679 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: W0405 20:59:35.886297 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: INFO:tensorflow:Start training at 0 [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: I0405 20:59:35.885925 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-1]: INFO:tensorflow:Start training at 0 [worker-3]: Instructions for updating: [worker-0]: self.run() [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-1]: I0405 20:59:35.886637 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: INFO:tensorflow:Start training at 0 [worker-0]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-3]: W0405 20:59:35.889090 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: I0405 20:59:35.886576 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: self.run() [worker-3]: Instructions for updating: [worker-0]: self._target(*self._args, **self._kwargs) [worker-2]: self.run() [worker-1]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-1]: self._target(*self._args, **self._kwargs) [worker-2]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-3]: INFO:tensorflow:Start training at 0 [worker-0]: if self._termination_watcher_fn(): [worker-2]: self._target(*self._args, **self._kwargs) [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: I0405 20:59:35.889262 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: if self._termination_watcher_fn(): [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: self.run() [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-2]: if self._termination_watcher_fn(): [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: self._target(*self._args, **self._kwargs) [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: if self._termination_watcher_fn(): [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [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-0]: I0405 20:59:35.977993 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:35.978006 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:35.983005 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:35.983598 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.031851 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:59:36.032096 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:36.032164 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:36.032438 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.073829 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:36.073959 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:36.074043 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:36.074030 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.114434 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:36.114610 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:36.114460 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:36.114617 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.154844 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:36.154861 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:36.154972 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:36.154953 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2395e0> 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 0xffff7c2365e0> 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 0xffff7c2395e0> 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]: W0405 20:59:36.189089 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2395e0> 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 0xffff7c2395e0> 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]: W0405 20:59:36.189331 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2395e0> 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]: W0405 20:59:36.189212 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2365e0> 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]: W0405 20:59:36.189357 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2395e0> 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-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]: I0405 20:59:36.195342 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:36.195352 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:36.195518 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:36.195540 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2561f0> 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 0xffff7c2531f0> 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 0xffff7c2561f0> 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]: W0405 20:59:36.229576 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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 0xffff7c2551f0> 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]: W0405 20:59:36.229707 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2531f0> 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:epoch 0 finished [worker-1]: W0405 20:59:36.229825 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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:epoch 0 finished [worker-3]: I0405 20:59:36.229806 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: W0405 20:59:36.229854 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2551f0> 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:epoch 0 finished [worker-0]: I0405 20:59:36.229935 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-1]: I0405 20:59:36.230054 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0405 20:59:36.230082 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-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]: I0405 20:59:36.236136 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:36.236001 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:36.236204 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:36.236199 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.276730 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.276875 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:36.276958 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:36.277042 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:36.317307 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:36.317207 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:36.317367 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:36.317325 281472829518720 cross_device_ops.py:1151] Collective all_reduce 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[worker-3]: I0405 20:59:36.479456 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-0]: I0405 20:59:36.479564 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: I0405 20:59:36.479688 281472829518720 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0405 20:59:36.479725 281472829518720 gce_failure_handler_test.py:192] 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-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 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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]: I0405 20:59:36.607191 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.607287 281472829518720 cross_device_ops.py:1151] 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 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I0405 20:59:36.809616 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.809713 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.809850 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:36.809934 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:36.849935 281472829518720 cross_device_ops.py:1151] 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 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= 1 [worker-3]: I0405 20:59:37.370553 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:37.370617 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:37.370728 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:37.370904 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-3]: I0405 20:59:37.405089 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-0]: I0405 20:59:37.405237 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0405 20:59:37.405390 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: I0405 20:59:37.405542 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-3]: I0405 20:59:37.405280 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0405 20:59:37.405579 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-0]: I0405 20:59:37.405425 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0405 20:59:37.405732 281472829518720 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0405 20:59:38.744985 281473304654720 gce_failure_handler_test.py:411] restarting workers INFO:tensorflow:workers restarted I0405 20:59:38.773331 281473304654720 gce_failure_handler_test.py:415] workers restarted [worker-0]: I0405 20:59:38.781544 281472829518720 multi_process_runner.py:840] Subprocess with PID 3215429 (worker, 0) is now being started. [worker-0]: I0405 20:59:38.781922 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24751", "localhost:16525", "localhost:19497", "localhost:16174"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0405 20:59:38.788182 281472829518720 multi_process_runner.py:840] Subprocess with PID 3215432 (worker, 1) is now being started. [worker-1]: I0405 20:59:38.788550 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24751", "localhost:16525", "localhost:19497", "localhost:16174"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0405 20:59:38.794885 281472829518720 multi_process_runner.py:840] Subprocess with PID 3215434 (worker, 2) is now being started. [worker-2]: I0405 20:59:38.795269 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24751", "localhost:16525", "localhost:19497", "localhost:16174"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0405 20:59:38.801440 281472829518720 multi_process_runner.py:840] Subprocess with PID 3215437 (worker, 3) is now being started. [worker-3]: I0405 20:59:38.801818 281472829518720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24751", "localhost:16525", "localhost:19497", "localhost:16174"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-05 20:59:38.815158: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:24751 [worker-1]: 2023-04-05 20:59:38.821141: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16525 [worker-0]: 2023-04-05 20:59:38.821236: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 17121848197284989613 [worker-0]: 2023-04-05 20:59:38.821433: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-05 20:59:38.825215: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 14229153805911209062 [worker-1]: 2023-04-05 20:59:38.826673: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: 2023-04-05 20:59:38.827142: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:19497 [worker-0]: 2023-04-05 20:59:38.833096: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 4641438991926857374 [worker-2]: 2023-04-05 20:59:38.833315: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-05 20:59:38.833855: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16174 [worker-0]: 2023-04-05 20:59:38.838291: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 18220652807550055712 [worker-3]: 2023-04-05 20:59:38.838459: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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-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-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I0405 20:59:38.840243 281472829518720 collective_all_reduce_strategy.py:532] 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-0]: I0405 20:59:38.840243 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:59:38.840243 281472829518720 collective_all_reduce_strategy.py:532] 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]: I0405 20:59:38.840574 281472829518720 collective_all_reduce_strategy.py:532] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: I0405 20:59:38.891872 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-1]: I0405 20:59:38.891872 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-3]: I0405 20:59:38.891880 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-2]: I0405 20:59:38.891875 281472829518720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-3]: INFO:tensorflow:Check health not enabled. [worker-1]: INFO:tensorflow:Check health not enabled. [worker-2]: INFO:tensorflow:Check health not enabled. [worker-0]: I0405 20:59:38.892325 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-3]: I0405 20:59:38.892325 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-1]: I0405 20:59:38.892324 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-2]: I0405 20:59:38.892325 281472829518720 collective_all_reduce_strategy.py:575] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0405 20:59:38.892495 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0405 20:59:38.892495 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0405 20:59:38.892495 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0405 20:59:38.892495 281472829518720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24751', 'localhost:16525', 'localhost:19497', 'localhost:16174']}, 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-0]: I0405 20:59:38.916039 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0405 20:59:38.916599 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0405 20:59:38.916703 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: I0405 20:59:38.916706 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-3]: I0405 20:59:38.916783 281472829518720 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0405 20:59:38.917450 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0405 20:59:38.917244 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-0]: Traceback (most recent call last): [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-3]: I0405 20:59:38.917319 281472829518720 failure_handling.py:683] Start polling for termination signal. [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-0]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0405 20:59:38.917016 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: Traceback (most recent call last): [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Traceback (most recent call last): [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-3]: Traceback (most recent call last): [worker-2]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-0]: Instructions for updating: [worker-1]: I0405 20:59:38.917616 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner [worker-2]: I0405 20:59:38.917839 281472829518720 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: I0405 20:59:38.917690 281472829518720 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: W0405 20:59:38.917380 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: 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-0]: Instructions for updating: [worker-3]: Instructions for updating: [worker-2]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: W0405 20:59:38.917963 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: INFO:tensorflow:Start training at 0 [worker-1]: Instructions for updating: [worker-3]: W0405 20:59:38.918039 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: W0405 20:59:38.918184 281472829518720 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: I0405 20:59:38.917680 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: Instructions for updating: [worker-2]: Instructions for updating: [worker-0]: self.run() [worker-1]: INFO:tensorflow:Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-1]: I0405 20:59:38.918127 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: INFO:tensorflow:Start training at 0 [worker-2]: INFO:tensorflow:Start training at 0 [worker-0]: self._target(*self._args, **self._kwargs) [worker-1]: self.run() [worker-3]: I0405 20:59:38.918207 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: I0405 20:59:38.918467 281472829518720 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-1]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-3]: self.run() [worker-2]: self.run() [worker-1]: self._target(*self._args, **self._kwargs) [worker-0]: if self._termination_watcher_fn(): [worker-3]: File "/usr/lib/python3.9/threading.py", line 917, 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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-2]: File "/usr/lib/python3.9/threading.py", line 917, in run [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: self._target(*self._args, **self._kwargs) [worker-1]: if self._termination_watcher_fn(): [worker-2]: self._target(*self._args, **self._kwargs) [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: if self._termination_watcher_fn(): [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-2]: if self._termination_watcher_fn(): [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:39.011342 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:39.011345 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:39.011373 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:39.011343 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.060904 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:39.060936 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:39.061015 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:39.061072 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.102641 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.102792 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:39.102945 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:39.103041 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.148073 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.148289 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:39.148341 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.148960 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.189163 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:39.189374 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.189399 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:39.189442 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2385e0> 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 0xffff7c2385e0> 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 0xffff7c23a5e0> 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 0xffff7c2385e0> 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]: W0405 20:59:39.223636 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2385e0> 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]: W0405 20:59:39.223763 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2385e0> 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]: W0405 20:59:39.223889 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c23a5e0> 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]: W0405 20:59:39.223912 281472829518720 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffff7c2385e0> 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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:39.229845 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0405 20:59:39.229987 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:39.230202 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:39.230148 281472829518720 cross_device_ops.py:1151] 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 0xffff7c2561f0> 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 0xffff7c2531f0> 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 0xffff7c2561f0> 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]: W0405 20:59:39.264343 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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]: W0405 20:59:39.264480 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2531f0> 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]: W0405 20:59:39.264609 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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:epoch 0 finished [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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:epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-3]: I0405 20:59:39.264572 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: W0405 20:59:39.264624 281472829518720 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffff7c2561f0> 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]: I0405 20:59:39.264708 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0405 20:59:39.264835 281472829518720 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-2]: I0405 20:59:39.264855 281472829518720 gce_failure_handler_test.py:192] epoch 0 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]: I0405 20:59:39.270715 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:59:39.270913 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:39.271010 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:39.271024 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.311636 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:59:39.311890 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:39.311893 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:39.311933 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.352061 281472829518720 cross_device_ops.py:1151] 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, 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I0405 20:59:39.840810 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.880769 281472829518720 cross_device_ops.py:1151] 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 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281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.921648 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.922900 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:39.923116 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.964758 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:39.965070 281472829518720 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[worker-0]: INFO:tensorflow:epoch 3 finished [worker-1]: INFO:tensorflow:epoch 3 finished [worker-2]: INFO:tensorflow:epoch 3 finished [worker-3]: I0405 20:59:40.091633 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-0]: I0405 20:59:40.091726 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-2]: I0405 20:59:40.091896 281472829518720 gce_failure_handler_test.py:192] epoch 3 finished [worker-1]: I0405 20:59:40.091789 281472829518720 gce_failure_handler_test.py:192] epoch 3 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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:40.098453 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, 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4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:40.220757 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:40.221534 281472829518720 cross_device_ops.py:1151] 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 = 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implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:40.263025 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:40.303376 281472829518720 cross_device_ops.py:1151] 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 = 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implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0405 20:59:40.343681 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:59:40.343862 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:40.344004 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:40.344010 281472829518720 cross_device_ops.py:1151] 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]: I0405 20:59:40.384120 281472829518720 cross_device_ops.py:1151] 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-0]: I0405 20:59:40.384336 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0405 20:59:40.384459 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0405 20:59:40.384422 281472829518720 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-3]: I0405 20:59:40.418764 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-0]: I0405 20:59:40.418908 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-3]: I0405 20:59:40.418956 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0405 20:59:40.419049 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: I0405 20:59:40.419023 281472829518720 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-0]: I0405 20:59:40.419096 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0405 20:59:40.419212 281472829518720 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0405 20:59:40.419241 281472829518720 gce_failure_handler_test.py:244] Training finished. I0405 20:59:40.756044 281473304654720 multi_process_runner.py:646] worker-0 exit code: 0 I0405 20:59:40.756355 281473304654720 multi_process_runner.py:646] worker-1 exit code: 0 I0405 20:59:40.756480 281473304654720 multi_process_runner.py:646] worker-2 exit code: 0 I0405 20:59:40.756596 281473304654720 multi_process_runner.py:646] worker-3 exit code: 0 I0405 20:59:40.758716 281473304654720 multi_process_runner.py:662] Joining log reading threads. I0405 20:59:40.758914 281473304654720 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker): 5.18s I0405 20:59:40.875107 281473304654720 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker): 5.18s [ OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker ====================================================================== ERROR: test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker (__main__.GceFailureHandlingTest) GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker(api_wrapping_train=False, grace_period=7, input_arg='manager', strategy_option='MWMS_multi_worker') ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_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/gce_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/gce_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/gce_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/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 417, in test_multiple_workers_preempted_consecutively mpr.join(timeout=250) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 637, in join self._reraise_if_subprocess_error(process_statuses) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 565, in _reraise_if_subprocess_error six.reraise(*process_status.exc_info) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise raise value File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained return_value = fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 134, in worker_fn strategy = collective_all_reduce_strategy.CollectiveAllReduceStrategy() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 188, in __init__ CollectiveAllReduceExtended( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 340, in __init__ self._initialize_strategy(self._cluster_resolver, devices=devices) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 359, in _initialize_strategy self._initialize_multi_worker(cluster_resolver) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 531, in _initialize_multi_worker context.context().ensure_initialized() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 595, in ensure_initialized pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str) tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server ---------------------------------------------------------------------- Ran 7 tests in 324.330s FAILED (errors=1) ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 29.4s //tensorflow/c:c_api_function_test PASSED in 30.0s //tensorflow/c:c_api_test_cpu PASSED in 33.5s //tensorflow/c:c_test PASSED in 28.7s //tensorflow/c:env_test_cpu PASSED in 24.1s //tensorflow/c:kernels_test_cpu PASSED in 34.5s //tensorflow/c:ops_test PASSED in 23.2s //tensorflow/c:while_loop_test PASSED in 30.4s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 30.1s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 32.0s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 25.6s //tensorflow/c/eager:c_api_test_cpu PASSED in 36.3s //tensorflow/c/eager:custom_device_test PASSED in 29.0s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 26.7s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 37.0s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 30.9s 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//tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 11.9s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 8.9s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 8.7s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 9.5s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 11.5s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 10.8s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 9.8s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 10.0s //tensorflow/compiler/tests:risc_ops_test_cpu_mlir_bridge_test PASSED in 8.4s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 10.0s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 21.0s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 23.5s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 10.2s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 11.5s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 20.6s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 25.8s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 17.3s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 18.3s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 50.5s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 33.8s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 8.9s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 19.8s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 13.5s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 17.0s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 17.3s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 13.4s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 12.8s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 7.7s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 59.4s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 16.3s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 17.8s //tensorflow/compiler/tests:while_test_cpu PASSED in 8.9s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 10.3s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 12.8s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 15.8s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 40.2s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 69.3s //tensorflow/compiler/tests:xla_test_test PASSED in 7.6s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 6.5s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.4s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.9s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 0.7s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 22.4s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 5.6s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.6s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 6.2s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 1.4s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.5s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 17.5s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 0.9s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 20.6s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 16.6s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 4.8s //tensorflow/compiler/tf2xla/kernels:rng_converter_utils_test PASSED in 1.4s //tensorflow/compiler/xla:array2d_test PASSED in 13.4s //tensorflow/compiler/xla:array3d_test PASSED in 0.3s //tensorflow/compiler/xla:array4d_test PASSED in 0.2s //tensorflow/compiler/xla:array_test PASSED in 0.1s //tensorflow/compiler/xla:bit_cast_test PASSED in 0.9s //tensorflow/compiler/xla:comparison_util_test PASSED in 0.1s //tensorflow/compiler/xla:debug_options_parsers_test PASSED in 0.2s //tensorflow/compiler/xla:index_util_test PASSED in 0.1s //tensorflow/compiler/xla:iterator_util_test PASSED in 0.3s //tensorflow/compiler/xla:layout_test PASSED in 0.1s //tensorflow/compiler/xla:layout_util_test PASSED in 0.5s //tensorflow/compiler/xla:literal_test PASSED in 1.0s //tensorflow/compiler/xla:parse_flags_from_env_test PASSED in 0.8s //tensorflow/compiler/xla:permutation_util_test PASSED in 0.1s //tensorflow/compiler/xla:primitive_util_test PASSED in 0.2s //tensorflow/compiler/xla:refcounting_hash_map_test PASSED in 0.2s //tensorflow/compiler/xla:reference_util_test PASSED in 0.2s //tensorflow/compiler/xla:shape_test PASSED in 0.5s //tensorflow/compiler/xla:shape_tree_test PASSED in 0.2s //tensorflow/compiler/xla:shape_util_test PASSED in 1.8s //tensorflow/compiler/xla:status_macros_test PASSED in 0.1s //tensorflow/compiler/xla:text_literal_reader_test PASSED in 0.2s //tensorflow/compiler/xla:text_literal_writer_test PASSED in 0.6s //tensorflow/compiler/xla:types_test PASSED in 0.2s //tensorflow/compiler/xla:util_test PASSED in 0.3s //tensorflow/compiler/xla:window_util_test PASSED in 0.1s //tensorflow/compiler/xla/client:padding_test PASSED in 0.3s //tensorflow/compiler/xla/client:xla_builder_test PASSED in 0.4s //tensorflow/compiler/xla/client/lib:arithmetic_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/client/lib:comparators_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/client/lib:constants_test_cpu PASSED in 7.2s //tensorflow/compiler/xla/client/lib:logdet_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/client/lib:math_test_cpu PASSED in 12.1s //tensorflow/compiler/xla/client/lib:matrix_test_cpu PASSED in 12.5s //tensorflow/compiler/xla/client/lib:pooling_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/client/lib:qr_test_cpu PASSED in 11.1s //tensorflow/compiler/xla/client/lib:slicing_test_cpu PASSED in 9.1s //tensorflow/compiler/xla/client/lib:sorting_test_cpu PASSED in 7.2s //tensorflow/compiler/xla/examples/axpy:stablehlo_compile_test PASSED in 9.5s //tensorflow/compiler/xla/experimental/conv_emitter:conv_emitter_test PASSED in 1.8s //tensorflow/compiler/xla/hlo/evaluator:hlo_evaluator_test PASSED in 3.2s //tensorflow/compiler/xla/hlo/transforms:hlo_constant_splitter_test PASSED in 1.7s //tensorflow/compiler/xla/hlo/utils:hlo_live_range_test PASSED in 1.0s //tensorflow/compiler/xla/hlo/utils:hlo_matchers_test PASSED in 1.2s //tensorflow/compiler/xla/hlo/utils:hlo_sharding_util_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:collective_ops.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:collective_ops_to_cpu_runtime.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:fft.mlir.test PASSED in 1.7s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:legalize_i1_vector_transfers.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_infeed.mlir.test PASSED in 1.8s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:remove_copies_to_out_params.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:rng_bit_generator.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_abi_legalization.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_memref_element_cast_to_llvm.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_outfeed.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:add_hlo_trace.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_launch.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memcpy.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memset.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_case.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_fft.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_cholesky.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_conv.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_cublas_lt_matmul.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_gemm.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_infeed.mlir.test PASSED in 2.2s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_outfeed.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_send_recv.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_while.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:memref_get_global_to_arg.mlir.test PASSED in 1.9s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:outline_cuda_graphs.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/framework/tests:legalize-xla-framework.mlir.test PASSED in 1.8s //tensorflow/compiler/xla/mlir/framework/tests:outline-with-xla-framework.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/framework/tests:xla-framework.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/math/transforms/tests:math_optimization.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/memref/transforms/tests:aligned_allocations.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/runtime/ir/tests:ops.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/runtime/ir/tests:ops_verify.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/runtime/ir/tests:testlib.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/runtime/transforms:calling_convention_test PASSED in 0.7s //tensorflow/compiler/xla/mlir/runtime/transforms:type_converter_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:compilation_pipeline.mlir.test PASSED in 2.3s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:convert_asserts.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:convert_custom_calls.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:export_functions.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:ordinal_assignment.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:rt_to_llvm.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:erase-op-without-results.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:inline-scf-while.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:reduce-scf-forall-bounds.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:replace-op-with-constant.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:replace-op-with-value.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:replace-operand-with-constant.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:return-operands-of-terminator-operands.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:truncate-function.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/tests:bisect.mlir.test PASSED in 2.1s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/tests:no-bug.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/tests:snapshot.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/tools/mlir_replay/public:execution_trace_utils_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/utils:error_util_test PASSED in 1.2s //tensorflow/compiler/xla/mlir/xla_cpu/tests:bufferize.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/xla_cpu/tests:invalid.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/xla_cpu/tests:ops.mlir.test PASSED in 1.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/bufferization/hlo_one_shot_bufferize.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/chlo/chlo_legalize_to_hlo_broadcasts.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/chlo/chlo_legalize_to_hlo_no_broadcasts.mlir.test PASSED in 2.1s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/chlo/chlo_legalize_to_mhlo.mlir.test PASSED in 1.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/chlo/sparse_chlo_legalize_to_linalg.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/buffer_reuse.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/convert_deallocation_ops_to_llvm.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocate.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocate_invalid.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocation_ops.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocation_simplification.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocation_to_scf.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/split_alloc_tensors.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/add_debug_info.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/bufferization.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/collapse-shape.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/collect_stats.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/compose_extract_insert_slice.mlir.test PASSED in 2.1s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/cpu_tiling/batch_matmul.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/cpu_tiling/conv_2d_nhwc_hwcf.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/cpu_tiling/dot.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/cpu_tiling/duplicate_fusions.mlir.test PASSED in 2.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/cpu_tiling/fibonacci.mlir.test PASSED in 1.7s 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//tensorflow/compiler/xla/service:all_reduce_simplifier_test PASSED in 1.1s //tensorflow/compiler/xla/service:ar_crs_combiner_test PASSED in 1.5s //tensorflow/compiler/xla/service:async_collective_creator_test PASSED in 1.3s //tensorflow/compiler/xla/service:async_op_canonicalizer_test PASSED in 0.9s //tensorflow/compiler/xla/service:batch_dot_simplification_test PASSED in 1.8s //tensorflow/compiler/xla/service:batchnorm_expander_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/service:bfloat16_conversion_folding_test PASSED in 1.1s //tensorflow/compiler/xla/service:bfloat16_propagation_test PASSED in 1.7s //tensorflow/compiler/xla/service:bitcast_dtypes_expander_test PASSED in 1.3s //tensorflow/compiler/xla/service:broadcast_canonicalizer_test PASSED in 0.9s //tensorflow/compiler/xla/service:buffer_assignment_test PASSED in 19.8s //tensorflow/compiler/xla/service:call_graph_test PASSED in 2.9s //tensorflow/compiler/xla/service:call_inliner_test PASSED in 0.8s //tensorflow/compiler/xla/service:change_op_data_type_test PASSED in 0.9s //tensorflow/compiler/xla/service:collective_ops_utils_test PASSED in 0.2s //tensorflow/compiler/xla/service:collectives_schedule_linearizer_test PASSED in 0.7s //tensorflow/compiler/xla/service:compilation_environments_test PASSED in 0.2s //tensorflow/compiler/xla/service:conditional_canonicalizer_test PASSED in 1.0s //tensorflow/compiler/xla/service:conditional_code_motion_test PASSED in 1.2s //tensorflow/compiler/xla/service:conditional_simplifier_test PASSED in 1.6s //tensorflow/compiler/xla/service:conditional_to_select_test PASSED in 0.9s //tensorflow/compiler/xla/service:convert_async_collectives_to_sync_test PASSED in 1.1s //tensorflow/compiler/xla/service:convert_mover_test PASSED in 2.2s //tensorflow/compiler/xla/service:convert_operand_folding_test PASSED in 1.2s //tensorflow/compiler/xla/service:convolution_4d_expander_test PASSED in 1.6s //tensorflow/compiler/xla/service:convolution_group_converter_test PASSED in 0.7s //tensorflow/compiler/xla/service:convolution_pred_expander_test PASSED in 0.9s //tensorflow/compiler/xla/service:copy_insertion_test PASSED in 0.8s //tensorflow/compiler/xla/service:custom_call_status_test PASSED in 0.3s //tensorflow/compiler/xla/service:defuser_test PASSED in 1.6s //tensorflow/compiler/xla/service:despecializer_test PASSED in 1.6s //tensorflow/compiler/xla/service:dfs_hlo_visitor_with_default_test PASSED in 1.1s //tensorflow/compiler/xla/service:dot_decomposer_test PASSED in 1.0s //tensorflow/compiler/xla/service:dot_merger_test PASSED in 2.5s //tensorflow/compiler/xla/service:dynamic_dimension_inference_test PASSED in 2.3s //tensorflow/compiler/xla/service:dynamic_dimension_simplifier_test PASSED in 1.5s //tensorflow/compiler/xla/service:dynamic_index_splitter_test PASSED in 0.9s //tensorflow/compiler/xla/service:dynamic_padder_test_cpu PASSED in 12.9s //tensorflow/compiler/xla/service:dynamic_parameter_binding_test PASSED in 1.4s //tensorflow/compiler/xla/service:dynamic_update_slice_test_cpu PASSED in 10.6s //tensorflow/compiler/xla/service:elemental_ir_emitter_test_cpu PASSED in 10.1s //tensorflow/compiler/xla/service:flatten_call_graph_test PASSED in 1.2s //tensorflow/compiler/xla/service:float_normalization_test PASSED in 2.0s //tensorflow/compiler/xla/service:fusion_node_indexing_evaluation_test PASSED in 1.7s //tensorflow/compiler/xla/service:gather_expander_test PASSED in 1.0s //tensorflow/compiler/xla/service:gather_simplifier_test PASSED in 1.2s //tensorflow/compiler/xla/service:heap_simulator_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_alias_analysis_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_casting_utils_test PASSED in 7.5s //tensorflow/compiler/xla/service:hlo_computation_deduplicator_test PASSED in 1.8s //tensorflow/compiler/xla/service:hlo_computation_test PASSED in 2.9s //tensorflow/compiler/xla/service:hlo_constant_folding_test PASSED in 4.8s //tensorflow/compiler/xla/service:hlo_cost_analysis_test PASSED in 8.3s //tensorflow/compiler/xla/service:hlo_creation_utils_test PASSED in 3.9s //tensorflow/compiler/xla/service:hlo_cse_test PASSED in 10.5s //tensorflow/compiler/xla/service:hlo_dataflow_analysis_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_dce_test PASSED in 2.1s //tensorflow/compiler/xla/service:hlo_domain_test PASSED in 1.7s //tensorflow/compiler/xla/service:hlo_element_type_converter_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_execution_profile_test PASSED in 8.9s //tensorflow/compiler/xla/service:hlo_graph_dumper_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_input_output_alias_config_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_instruction_test PASSED in 2.9s //tensorflow/compiler/xla/service:hlo_liveness_analysis_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_memory_scheduler_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_module_dce_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_module_metadata_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_module_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_opcode_test PASSED in 0.4s //tensorflow/compiler/xla/service:hlo_ordering_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_parser_test PASSED in 0.3s //tensorflow/compiler/xla/service:hlo_pass_pipeline_test PASSED in 0.7s //tensorflow/compiler/xla/service:hlo_phi_graph_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_proto_util_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_reachability_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_rematerialization_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_rematerialization_test_utils_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_replication_analysis_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_schedule_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_sharding_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_value_semantics_analysis_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_verifier_test PASSED in 1.6s //tensorflow/compiler/xla/service:indexed_array_analysis_test PASSED in 2.4s //tensorflow/compiler/xla/service:instruction_fusion_test PASSED in 0.8s //tensorflow/compiler/xla/service:latency_hiding_scheduler_test PASSED in 2.0s //tensorflow/compiler/xla/service:layout_assignment_test PASSED in 6.4s //tensorflow/compiler/xla/service:layout_normalization_test PASSED in 5.4s //tensorflow/compiler/xla/service:logistic_expander_test PASSED in 0.7s //tensorflow/compiler/xla/service:loop_schedule_linearizer_test PASSED in 0.9s //tensorflow/compiler/xla/service:map_inliner_test PASSED in 1.0s //tensorflow/compiler/xla/service:mapped_ptr_container_sorter_test PASSED in 0.2s //tensorflow/compiler/xla/service:memory_space_assignment_best_fit_repacker_test PASSED in 1.1s //tensorflow/compiler/xla/service:memory_space_assignment_test PASSED in 11.1s //tensorflow/compiler/xla/service:memory_space_propagation_test PASSED in 0.9s //tensorflow/compiler/xla/service:name_uniquer_test PASSED in 0.3s //tensorflow/compiler/xla/service:operand_upcaster_test PASSED in 1.3s //tensorflow/compiler/xla/service:optimize_input_output_buffer_alias_test PASSED in 1.1s //tensorflow/compiler/xla/service:pattern_matcher_gmock_test PASSED in 0.1s //tensorflow/compiler/xla/service:pattern_matcher_test PASSED in 2.6s //tensorflow/compiler/xla/service:profile_guided_latency_estimator_test PASSED in 1.0s //tensorflow/compiler/xla/service:real_imag_expander_test PASSED in 1.3s //tensorflow/compiler/xla/service:reduce_decomposer_test PASSED in 1.0s //tensorflow/compiler/xla/service:reduce_scatter_combiner_test PASSED in 4.2s //tensorflow/compiler/xla/service:reduce_scatter_decomposer_test PASSED in 1.1s //tensorflow/compiler/xla/service:reduce_scatter_reassociate_test PASSED in 0.9s //tensorflow/compiler/xla/service:reshape_decomposer_test PASSED in 1.2s //tensorflow/compiler/xla/service:reshape_mover_test PASSED in 1.1s //tensorflow/compiler/xla/service:result_caster_test PASSED in 0.9s //tensorflow/compiler/xla/service:root_instruction_sinker_test PASSED in 0.9s //tensorflow/compiler/xla/service:scatter_expander_test PASSED in 0.9s //tensorflow/compiler/xla/service:scatter_simplifier_test PASSED in 0.9s //tensorflow/compiler/xla/service:select_and_scatter_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:shape_inference_test PASSED in 0.6s //tensorflow/compiler/xla/service:shaped_buffer_test PASSED in 6.6s //tensorflow/compiler/xla/service:sharding_propagation_test PASSED in 7.8s //tensorflow/compiler/xla/service:sharding_remover_test PASSED in 0.8s //tensorflow/compiler/xla/service:simplify_fp_conversions_test PASSED in 1.8s //tensorflow/compiler/xla/service:slice_sinker_test PASSED in 1.5s //tensorflow/compiler/xla/service:sort_simplifier_test PASSED in 1.4s //tensorflow/compiler/xla/service:space_to_batch_converter_test PASSED in 1.0s //tensorflow/compiler/xla/service:stable_sort_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:stochastic_convert_decomposer_test PASSED in 1.8s //tensorflow/compiler/xla/service:stream_pool_test PASSED in 0.5s //tensorflow/compiler/xla/service:topk_rewriter_test PASSED in 5.6s //tensorflow/compiler/xla/service:transpose_folding_test PASSED in 2.7s //tensorflow/compiler/xla/service:tuple_points_to_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:tuple_simplifier_test PASSED in 0.9s //tensorflow/compiler/xla/service:tuple_util_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_all_reduce_code_motion_test PASSED in 1.4s //tensorflow/compiler/xla/service:while_loop_analysis_test PASSED in 1.1s //tensorflow/compiler/xla/service:while_loop_concat_code_motion_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_constant_sinking_test PASSED in 1.2s //tensorflow/compiler/xla/service:while_loop_expensive_invariant_code_motion_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_invariant_code_motion_test PASSED in 0.9s //tensorflow/compiler/xla/service:while_loop_simplifier_test PASSED in 1.7s //tensorflow/compiler/xla/service:while_loop_trip_count_annotator_test PASSED in 1.2s //tensorflow/compiler/xla/service:while_util_test PASSED in 1.0s //tensorflow/compiler/xla/service:xla_aot_compile_stablehlo_cpu_test PASSED in 7.2s //tensorflow/compiler/xla/service:xla_debug_info_manager_test PASSED in 0.8s //tensorflow/compiler/xla/service:zero_sized_hlo_elimination_test PASSED in 1.0s //tensorflow/compiler/xla/service/cpu:conv_canonicalization_test PASSED in 1.7s //tensorflow/compiler/xla/service/cpu:cpu_eigen_tensor_alignment_test PASSED in 1.2s //tensorflow/compiler/xla/service/cpu:cpu_instruction_fusion_test PASSED in 3.6s //tensorflow/compiler/xla/service/cpu:cpu_layout_assignment_test PASSED in 2.3s //tensorflow/compiler/xla/service/cpu:ir_emission_utils_test PASSED in 1.1s //tensorflow/compiler/xla/service/cpu:parallel_task_assignment_test PASSED in 4.6s //tensorflow/compiler/xla/service/cpu:runtime_fft_test PASSED in 0.1s //tensorflow/compiler/xla/service/cpu:shape_partition_test PASSED in 1.0s //tensorflow/compiler/xla/service/cpu:xfeed_manager_test PASSED in 0.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_bytesizeof_test PASSED in 0.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_dyn_shape_test PASSED in 7.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_eigen_dot_operation_test PASSED in 6.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_external_constants_test PASSED in 23.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_fusion_test PASSED in 7.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_infeed_test PASSED in 7.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_intrinsic_test PASSED in 10.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_key_value_sort_test PASSED in 7.5s //tensorflow/compiler/xla/service/cpu/tests:cpu_literal_caching_test PASSED in 7.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_noalias_test PASSED in 6.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_outfeed_test PASSED in 8.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_profiling_test PASSED in 8.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_spmd_compile_test PASSED in 6.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_topk_test PASSED in 9.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_vectorization_test PASSED in 10.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_while_test PASSED in 9.9s //tensorflow/compiler/xla/service/cpu/tests:tree_reduction_rewriter_test PASSED in 7.0s //tensorflow/compiler/xla/service/gpu:alias_passthrough_params_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:all_reduce_blueconnect_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:cublas_pad_for_gemms_test PASSED in 2.2s //tensorflow/compiler/xla/service/gpu:cudnn_pad_for_convolutions_test PASSED in 1.8s //tensorflow/compiler/xla/service/gpu:cudnn_simplify_padding_test PASSED in 2.4s //tensorflow/compiler/xla/service/gpu:cudnn_support_utils_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:cudnn_vectorize_convolutions_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:fusion_merger_test PASSED in 1.2s //tensorflow/compiler/xla/service/gpu:gemm_rewriter_triton_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:gpu_conv_padding_legalization_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:gpu_conv_rewriter_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:gpu_fusible_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:gpu_hlo_cost_analysis_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:gpu_performance_model_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:gpu_sanitize_constant_names_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:hlo_algorithm_denylist_test PASSED in 0.1s //tensorflow/compiler/xla/service/gpu:hlo_fusion_stats_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:instruction_fusion_test PASSED in 2.4s //tensorflow/compiler/xla/service/gpu:ir_emission_utils_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:matmul_utils_test PASSED in 0.6s //tensorflow/compiler/xla/service/gpu:move_copy_to_users_test PASSED in 2.4s //tensorflow/compiler/xla/service/gpu:multi_output_fusion_test PASSED in 2.8s //tensorflow/compiler/xla/service/gpu:non_atomically_upgradeable_rw_lock_test PASSED in 0.1s //tensorflow/compiler/xla/service/gpu:reduction_splitter_test PASSED in 2.1s //tensorflow/compiler/xla/service/gpu:scatter_slice_simplifier_test PASSED in 2.4s //tensorflow/compiler/xla/service/gpu:target_util_test PASSED in 0.5s //tensorflow/compiler/xla/service/gpu:variadic_op_splitter_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:while_transformer_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu/llvm_gpu_backend:utils_test PASSED in 0.4s //tensorflow/compiler/xla/service/gpu/tests:gpu_reduce_scatter_creator_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu/tests:reduction_degenerate_dim_remover_test PASSED in 2.2s //tensorflow/compiler/xla/service/gpu/tests:reduction_dimension_grouper_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu/tests:tree_reduction_rewriter_test PASSED in 2.0s //tensorflow/compiler/xla/service/graphcycles:graphcycles_test PASSED in 0.8s //tensorflow/compiler/xla/service/graphcycles:ordered_set_test PASSED in 0.4s //tensorflow/compiler/xla/service/llvm_ir:alias_analysis_test PASSED in 7.3s //tensorflow/compiler/xla/service/llvm_ir:ir_array_test PASSED in 0.5s //tensorflow/compiler/xla/service/spmd:canonicalize_all_gather_for_cse_test PASSED in 1.4s //tensorflow/compiler/xla/service/spmd:collective_permute_motion_test PASSED in 1.7s //tensorflow/compiler/xla/service/spmd:partition_assignment_test PASSED in 2.2s //tensorflow/compiler/xla/service/spmd:schedule_aware_collective_ops_cse_test PASSED in 1.0s //tensorflow/compiler/xla/service/spmd:spmd_partitioner_test PASSED in 2.8s //tensorflow/compiler/xla/service/spmd:stateful_rng_spmd_partitioner_test PASSED in 1.5s //tensorflow/compiler/xla/stream_executor:dnn_test PASSED in 0.5s //tensorflow/compiler/xla/stream_executor:stream_test PASSED in 0.2s //tensorflow/compiler/xla/stream_executor/host:host_stream_test PASSED in 0.2s //tensorflow/compiler/xla/tests:all_reduce_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:axpy_simple_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:bad_rng_shape_validation_test_cpu PASSED in 7.6s //tensorflow/compiler/xla/tests:binop_scaling_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/tests:bitcast_convert_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/tests:broadcast_simple_test_cpu PASSED in 10.8s //tensorflow/compiler/xla/tests:broadcast_test_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests:buffer_donation_test_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests:call_test_cpu PASSED in 9.8s //tensorflow/compiler/xla/tests:check_execution_arity_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:cholesky_test_cpu PASSED in 16.9s //tensorflow/compiler/xla/tests:client_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:collective_ops_test_cpu PASSED in 22.8s //tensorflow/compiler/xla/tests:compilation_cache_test_cpu PASSED in 9.3s //tensorflow/compiler/xla/tests:compute_constant_test_cpu PASSED in 8.4s //tensorflow/compiler/xla/tests:concat_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests:constant_reduction_function_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/tests:constants_test_cpu PASSED in 9.8s //tensorflow/compiler/xla/tests:convert_test_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests:copy_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests:cpu_gpu_fusion_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/tests:custom_call_test_cpu PASSED in 10.4s //tensorflow/compiler/xla/tests:deallocation_test_cpu PASSED in 7.0s //tensorflow/compiler/xla/tests:deconstruct_tuple_test_cpu PASSED in 8.9s //tensorflow/compiler/xla/tests:deep_graph_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/tests:execution_profile_test_cpu PASSED in 7.3s //tensorflow/compiler/xla/tests:fft_test_cpu PASSED in 7.3s //tensorflow/compiler/xla/tests:float8_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:floor_ceil_test_cpu PASSED in 8.4s //tensorflow/compiler/xla/tests:fmax_fmin_test_cpu PASSED in 7.5s //tensorflow/compiler/xla/tests:gather_operation_test_cpu PASSED in 22.2s //tensorflow/compiler/xla/tests:get_dimension_size_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/tests:half_test_cpu PASSED in 10.3s //tensorflow/compiler/xla/tests:hlo_metadata_test PASSED in 7.1s //tensorflow/compiler/xla/tests:literal_test_util_test PASSED in 5.0s //tensorflow/compiler/xla/tests:local_client_allocation_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:local_client_aot_test PASSED in 0.5s //tensorflow/compiler/xla/tests:log_test_cpu PASSED in 7.5s //tensorflow/compiler/xla/tests:map_test_cpu PASSED in 10.0s //tensorflow/compiler/xla/tests:matrix_ops_simple_test_cpu PASSED in 15.7s //tensorflow/compiler/xla/tests:multidimensional_slice_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/tests:multiple_devices_on_host_test PASSED in 7.8s //tensorflow/compiler/xla/tests:multithreaded_compilation_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/tests:outfeed_in_nested_computation_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/tests:pad_test_cpu PASSED in 10.7s //tensorflow/compiler/xla/tests:pred_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:query_inferred_shape_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:reduce_hlo_test_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests:reduce_precision_test_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests:replay_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/tests:reshape_motion_test_cpu PASSED in 6.8s //tensorflow/compiler/xla/tests:reverse_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/tests:round_trip_packed_literal_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/tests:round_trip_transfer_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests:sample_text_test_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests:scatter_test_cpu PASSED in 17.2s //tensorflow/compiler/xla/tests:select_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/tests:test_utils_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/tests:token_hlo_test_cpu PASSED in 9.8s //tensorflow/compiler/xla/tests:transfer_manager_test_cpu PASSED in 15.2s //tensorflow/compiler/xla/tests:transpose_test_cpu PASSED in 10.7s //tensorflow/compiler/xla/tests:tuple_test_cpu PASSED in 9.4s //tensorflow/compiler/xla/tests:unary_op_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:value_inference_test_cpu PASSED in 6.9s //tensorflow/compiler/xla/tests:vector_ops_reduce_test_cpu PASSED in 17.4s //tensorflow/compiler/xla/tests:vector_ops_simple_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:while_test_cpu PASSED in 10.2s //tensorflow/compiler/xla/tools:hlo_control_flow_flattening_test PASSED in 1.4s //tensorflow/compiler/xla/tools:hlo_extractor_test PASSED in 1.0s //tensorflow/compiler/xla/tools:hlo_module_loader_test PASSED in 1.3s //tensorflow/compiler/xla/tools:interactive_graphviz_bin_test PASSED in 0.6s //tensorflow/compiler/xla/tools:run_hlo_module_bin_test PASSED in 0.5s //tensorflow/compiler/xla/tools/hlo_bisect:hlo_bisect_state_test PASSED in 1.2s //tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_utils_test PASSED in 1.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo:mlir_hlo_builder_test PASSED in 0.9s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:bool_compare.hlotxt.test PASSED in 1.3s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:case_conditional.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:dynamic_param.hlo.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:entry_computation_layout.hlotxt.test PASSED in 0.8s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:frontend_attributes.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fully_connected_reference_model.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fusion.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:if_conditional.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import.hlotxt.test PASSED in 1.0s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import_async.hlotxt.test PASSED in 1.2s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:layouts_and_names.hlotxt.test PASSED in 0.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:location.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:module_attributes.hlo.test PASSED in 1.2s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:simple.hlo.test PASSED in 0.8s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:spmd_module_sharding.hlo.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:types.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:while.hlotxt.test PASSED in 1.0s //tensorflow/compiler/xla/translate/mhlo_to_hlo:type_to_shape_test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:add.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:case.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:dynamic.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export-with-layouts.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export.mlir.test PASSED in 2.0s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_and_check_layouts.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_large_constants.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_replicas.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:frontend_attributes.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:fusion.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:if.mlir.test PASSED in 1.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:input_output_aliasing.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:layouts_and_names.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:location_to_op_metadata.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:missing_main.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:module_attributes.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:multiple_return_tuple.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:opaque_elements_attr.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:rng_get_and_update_state.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:sharding.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:simple.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:unsupported_type.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:while.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:hlo_text_to_lhlo_no_opt.hlotxt.test PASSED in 4.2s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:no_opt_ops.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:non_identity_layouts.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:ops.mlir.test PASSED in 4.0s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:passthrough.mlir.test PASSED in 0.7s //tensorflow/core:__tensorflow_core_lib_core_legacy_lib_core_all_tests PASSED in 17.1s //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 31.1s //tensorflow/core:__tensorflow_core_lib_monitoring_collection_registry_test PASSED in 1.2s //tensorflow/core:__tensorflow_core_lib_monitoring_counter_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_monitoring_gauge_test PASSED in 0.8s //tensorflow/core:__tensorflow_core_lib_monitoring_metric_def_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_monitoring_percentile_sampler_test PASSED in 0.3s //tensorflow/core:__tensorflow_core_lib_monitoring_sampler_test PASSED in 0.3s //tensorflow/core:__tensorflow_core_lib_monitoring_test_utils_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_strings_legacy_low_level_library_tests PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_wav_wav_io_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_util_mkl_util_test_srcs PASSED in 0.1s //tensorflow/core:__tensorflow_tsl_lib_core_legacy_lib_core_all_tests PASSED in 0.6s //tensorflow/core:lib_strings_ordered_code_test PASSED in 1.2s //tensorflow/core:lib_strings_proto_serialization_test PASSED in 0.1s //tensorflow/core/api_def:api_test PASSED in 3.2s //tensorflow/core/api_def:update_api_def_test PASSED in 0.3s //tensorflow/core/common_runtime:all_to_all_test_cpu PASSED in 0.7s //tensorflow/core/common_runtime:arg_ret_placement_test PASSED in 1.0s //tensorflow/core/common_runtime:buf_rendezvous_test PASSED in 1.6s //tensorflow/core/common_runtime:collective_executor_mgr_test PASSED in 1.0s //tensorflow/core/common_runtime:collective_param_resolver_local_test PASSED in 6.3s //tensorflow/core/common_runtime:collective_rma_local_test PASSED in 1.7s //tensorflow/core/common_runtime:composite_device_test PASSED in 0.8s //tensorflow/core/common_runtime:cost_measurement_registry_test PASSED in 2.1s //tensorflow/core/common_runtime:cost_util_test PASSED in 0.2s //tensorflow/core/common_runtime:device_mgr_test PASSED in 1.4s //tensorflow/core/common_runtime:device_propagation_test PASSED in 0.5s //tensorflow/core/common_runtime:device_resolver_local_test PASSED in 1.8s //tensorflow/core/common_runtime:device_set_test PASSED in 1.4s //tensorflow/core/common_runtime:direct_session_test_cpu PASSED in 2.1s //tensorflow/core/common_runtime:direct_session_with_debug_test PASSED in 2.5s //tensorflow/core/common_runtime:direct_session_with_tracking_alloc_test PASSED in 0.8s //tensorflow/core/common_runtime:dynamic_device_mgr_test PASSED in 0.8s //tensorflow/core/common_runtime:eval_const_tensor_test PASSED in 0.6s //tensorflow/core/common_runtime:executor_test PASSED in 2.0s //tensorflow/core/common_runtime:function_optimization_registration_test PASSED in 1.3s //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 1.0s //tensorflow/core/common_runtime:function_optimization_registry_test PASSED in 1.4s //tensorflow/core/common_runtime:function_threadpool_test PASSED in 1.0s //tensorflow/core/common_runtime:graph_constructor_test PASSED in 5.3s //tensorflow/core/common_runtime:graph_runner_test PASSED in 0.9s //tensorflow/core/common_runtime:hierarchical_tree_broadcaster_test_cpu PASSED in 3.2s //tensorflow/core/common_runtime:inline_function_utils_test PASSED in 1.3s //tensorflow/core/common_runtime:input_colocation_exemption_registry_test PASSED in 1.1s //tensorflow/core/common_runtime:int32_fulltype_test PASSED in 0.9s //tensorflow/core/common_runtime:isolate_placer_inspection_required_ops_pass_test PASSED in 0.7s //tensorflow/core/common_runtime:lower_case_op_test PASSED in 2.9s //tensorflow/core/common_runtime:lower_function_call_test PASSED in 2.3s //tensorflow/core/common_runtime:lower_functional_ops_test PASSED in 2.7s //tensorflow/core/common_runtime:lower_if_op_test PASSED in 2.5s //tensorflow/core/common_runtime:lower_while_op_test PASSED in 2.9s //tensorflow/core/common_runtime:mkl_cpu_allocator_test PASSED in 0.2s //tensorflow/core/common_runtime:mkl_threadpool_device_test PASSED in 0.4s //tensorflow/core/common_runtime:no_op_cost_measurement_test PASSED in 0.1s //tensorflow/core/common_runtime:null_request_cost_accessor_test PASSED in 0.2s //tensorflow/core/common_runtime:optimization_registry_test PASSED in 0.9s //tensorflow/core/common_runtime:optimize_cross_host_control_deps_test PASSED in 17.9s //tensorflow/core/common_runtime:optimize_function_graph_utils_test PASSED in 0.8s //tensorflow/core/common_runtime:partitioning_utils_test PASSED in 1.0s //tensorflow/core/common_runtime:pending_counts_test PASSED in 0.8s //tensorflow/core/common_runtime:permuter_test_cpu PASSED in 4.4s //tensorflow/core/common_runtime:placer_inspection_required_ops_utils_test PASSED in 1.1s //tensorflow/core/common_runtime:placer_test PASSED in 1.3s //tensorflow/core/common_runtime:process_function_library_runtime_test_cpu PASSED in 1.0s //tensorflow/core/common_runtime:process_util_test PASSED in 0.3s //tensorflow/core/common_runtime:quantize_training_test PASSED in 2.0s //tensorflow/core/common_runtime:rendezvous_util_test PASSED in 0.4s //tensorflow/core/common_runtime:replicate_per_replica_nodes_test PASSED in 0.7s //tensorflow/core/common_runtime:request_cost_accessor_registry_test PASSED in 16.3s //tensorflow/core/common_runtime:request_cost_test PASSED in 0.1s //tensorflow/core/common_runtime:ring_gatherer_test_cpu PASSED in 3.8s //tensorflow/core/common_runtime:ring_reducer_test_cpu PASSED in 7.4s //tensorflow/core/common_runtime:scoped_allocator_mgr_test PASSED in 4.1s //tensorflow/core/common_runtime:session_test PASSED in 1.1s //tensorflow/core/common_runtime:shape_refiner_test PASSED in 1.1s //tensorflow/core/common_runtime:single_threaded_executor_test PASSED in 1.2s //tensorflow/core/common_runtime:threadpool_device_test PASSED in 1.0s //tensorflow/core/common_runtime:type_inference_test PASSED in 2.6s //tensorflow/core/common_runtime/eager:attr_builder_test PASSED in 24.1s //tensorflow/core/common_runtime/eager:context_test PASSED in 11.8s //tensorflow/core/common_runtime/eager:custom_device_test PASSED in 12.1s //tensorflow/core/common_runtime/eager:eager_executor_test PASSED in 10.5s //tensorflow/core/common_runtime/eager:eager_op_rewrite_registry_test PASSED in 1.0s //tensorflow/core/common_runtime/eager:eager_operation_test PASSED in 12.1s //tensorflow/core/common_runtime/eager:execute_node_test PASSED in 10.7s //tensorflow/core/common_runtime/eager:execute_test PASSED in 23.7s //tensorflow/core/common_runtime/eager:kernel_and_device_test PASSED in 1.3s //tensorflow/core/common_runtime/eager:mkl_eager_op_rewrite_test PASSED in 12.7s //tensorflow/core/common_runtime/eager:placement_test PASSED in 14.1s //tensorflow/core/common_runtime/eager:placement_utils_test PASSED in 12.2s //tensorflow/core/common_runtime/eager:tensor_handle_data_test PASSED in 9.3s //tensorflow/core/common_runtime/eager:tensor_handle_test PASSED in 10.7s //tensorflow/core/common_runtime/gpu:gpu_device_on_non_gpu_machine_test PASSED in 0.2s //tensorflow/core/common_runtime/next_pluggable_device/c:plugin_c_api_test PASSED in 30.1s //tensorflow/core/config:flags_py_test PASSED in 7.2s //tensorflow/core/config:flags_test PASSED in 0.6s //tensorflow/core/data:compression_utils_test PASSED in 1.9s //tensorflow/core/data:dataset_utils_test PASSED in 1.1s //tensorflow/core/data:hash_utils_test PASSED in 1.4s //tensorflow/core/data:metric_utils_test PASSED in 5.7s //tensorflow/core/data:name_utils_test PASSED in 0.3s //tensorflow/core/data:rewrite_utils_test PASSED in 0.6s //tensorflow/core/data:serialization_utils_test PASSED in 1.4s //tensorflow/core/data:snapshot_utils_test PASSED in 0.6s //tensorflow/core/data:split_utils_test PASSED in 0.6s //tensorflow/core/data:standalone_save_restore_test PASSED in 3.2s //tensorflow/core/data:standalone_test PASSED in 1.4s //tensorflow/core/data:tfdataz_metrics_test PASSED in 2.1s //tensorflow/core/data:unbounded_thread_pool_test PASSED in 0.4s //tensorflow/core/data/service:auto_shard_rewriter_test PASSED in 1.3s //tensorflow/core/data/service:common_test PASSED in 0.2s //tensorflow/core/data/service:credentials_factory_test PASSED in 0.8s //tensorflow/core/data/service:cross_trainer_cache_test PASSED in 1.4s //tensorflow/core/data/service:data_service_test PASSED in 16.4s //tensorflow/core/data/service:data_transfer_test PASSED in 1.0s //tensorflow/core/data/service:dataset_store_test PASSED in 0.7s //tensorflow/core/data/service:dispatcher_client_test PASSED in 3.8s //tensorflow/core/data/service:dispatcher_state_test PASSED in 0.6s //tensorflow/core/data/service:grpc_dispatcher_impl_test PASSED in 2.2s //tensorflow/core/data/service:grpc_util_test PASSED in 0.9s //tensorflow/core/data/service:grpc_worker_impl_test PASSED in 2.8s //tensorflow/core/data/service:journal_test PASSED in 0.6s //tensorflow/core/data/service:logging_utils_test PASSED in 0.2s //tensorflow/core/data/service:task_runner_test PASSED in 2.8s //tensorflow/core/data/service:test_util_test PASSED in 2.1s //tensorflow/core/data/service:url_test PASSED in 0.2s //tensorflow/core/data/service:utils_test PASSED in 0.5s //tensorflow/core/data/service:validate_utils_test PASSED in 0.5s //tensorflow/core/data/service:worker_client_test PASSED in 4.4s //tensorflow/core/data/service:worker_impl_test PASSED in 2.4s //tensorflow/core/data/service/client:data_service_client_test PASSED in 4.4s //tensorflow/core/data/service/client:utils_test PASSED in 3.7s //tensorflow/core/data/service/client:validate_utils_test PASSED in 1.6s //tensorflow/core/data/service/snapshot:distributed_snapshot_test PASSED in 19.2s //tensorflow/core/data/service/snapshot:file_utils_test PASSED in 1.0s //tensorflow/core/data/service/snapshot:path_utils_test PASSED in 0.2s //tensorflow/core/data/service/snapshot:snapshot_manager_test PASSED in 1.9s //tensorflow/core/data/service/snapshot:snapshot_split_provider_test PASSED in 1.3s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test PASSED in 3.8s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_test PASSED in 3.3s //tensorflow/core/data/service/snapshot:utils_test PASSED in 0.1s //tensorflow/core/debug:debug_graph_utils_test PASSED in 0.5s //tensorflow/core/distributed_runtime:call_options_test PASSED in 0.1s //tensorflow/core/distributed_runtime:cluster_function_library_runtime_test PASSED in 4.1s //tensorflow/core/distributed_runtime:collective_param_resolver_distributed_test PASSED in 1.0s //tensorflow/core/distributed_runtime:collective_rma_distributed_test PASSED in 0.6s //tensorflow/core/distributed_runtime:device_resolver_distributed_test PASSED in 1.6s //tensorflow/core/distributed_runtime:message_wrappers_test PASSED in 1.0s //tensorflow/core/distributed_runtime:partial_run_mgr_test PASSED in 0.8s 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in 40.7s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 27.7s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 2.4s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 0.7s //tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client_test PASSED in 0.9s //tensorflow/core/example:example_parser_configuration_test PASSED in 1.7s //tensorflow/core/example:feature_util_test PASSED in 0.9s //tensorflow/core/framework:allocator_test PASSED in 3.5s //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 1.3s //tensorflow/core/framework:common_shape_fns_test PASSED in 0.8s //tensorflow/core/framework:dataset_test PASSED in 0.7s //tensorflow/core/framework:device_base_test PASSED in 1.0s //tensorflow/core/framework:disable_jit_test PASSED in 0.9s 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PASSED in 4.3s //tensorflow/tsl/platform/cloud:gcs_throttle_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:google_auth_provider_test PASSED in 0.3s //tensorflow/tsl/platform/cloud:oauth_client_test PASSED in 0.2s //tensorflow/tsl/platform/cloud:ram_file_block_cache_test PASSED in 2.3s //tensorflow/tsl/platform/cloud:time_util_test PASSED in 0.1s //tensorflow/tsl/profiler/backends/cpu:traceme_recorder_test PASSED in 0.1s //tensorflow/tsl/profiler/convert:trace_container_test PASSED in 0.1s //tensorflow/tsl/profiler/convert:trace_events_to_json_test PASSED in 0.1s //tensorflow/tsl/profiler/convert:xla_op_utils_test PASSED in 0.4s //tensorflow/tsl/profiler/convert:xplane_to_trace_events_test PASSED in 0.1s //tensorflow/tsl/profiler/lib:profiler_factory_test PASSED in 0.1s //tensorflow/tsl/profiler/lib:profiler_lock_test PASSED in 0.1s //tensorflow/tsl/profiler/lib:scoped_annotation_test PASSED in 0.2s //tensorflow/tsl/profiler/lib:traceme_encode_test PASSED in 0.1s //tensorflow/tsl/profiler/rpc/client:profiler_client_test PASSED in 3.3s //tensorflow/tsl/profiler/rpc/client:remote_profiler_session_manager_test PASSED in 3.5s //tensorflow/tsl/profiler/utils:buffer_pool_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:group_events_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:parse_annotation_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:preprocess_xplane_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:tf_op_utils_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:timespan_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:tpu_xplane_utils_test PASSED in 0.2s //tensorflow/tsl/profiler/utils:xplane_builder_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:xplane_utils_test PASSED in 0.1s //tensorflow/tsl/util:device_name_utils_test PASSED in 0.1s //tensorflow/tsl/util:stats_calculator_test PASSED in 0.1s //tensorflow/compiler/tests:complex_div_test_cpu PASSED in 8.4s Stats over 2 runs: max = 8.4s, min = 7.6s, avg = 8.0s, dev = 0.4s //tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test PASSED in 7.6s Stats over 2 runs: max = 7.6s, min = 6.5s, avg = 7.1s, dev = 0.5s //tensorflow/compiler/xla/tests:conditional_test_cpu PASSED in 10.4s Stats over 2 runs: max = 10.4s, min = 9.4s, avg = 9.9s, dev = 0.5s //tensorflow/python:control_flow_ops_test_cpu PASSED in 25.9s Stats over 2 runs: max = 25.9s, min = 23.1s, avg = 24.5s, dev = 1.4s //tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 23.8s Stats over 2 runs: max = 23.8s, min = 20.5s, avg = 22.1s, dev = 1.6s //tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 21.5s Stats over 2 runs: max = 21.5s, min = 20.2s, avg = 20.8s, dev = 0.6s //tensorflow/python/data/kernel_tests:padded_batch_test PASSED in 26.6s Stats over 2 runs: max = 26.6s, min = 25.2s, avg = 25.9s, dev = 0.7s //tensorflow/python/data/kernel_tests:repeat_test PASSED in 39.6s Stats over 2 runs: max = 39.6s, min = 38.3s, avg = 39.0s, dev = 0.6s //tensorflow/python/data/kernel_tests:window_test PASSED in 39.8s Stats over 2 runs: max = 39.8s, min = 29.2s, avg = 34.5s, dev = 5.3s //tensorflow/python/distribute:strategy_common_test_2gpu PASSED in 26.4s Stats over 2 runs: max = 26.4s, min = 20.1s, avg = 23.3s, dev = 3.1s //tensorflow/python/distribute:strategy_common_test_cpu PASSED in 32.8s Stats over 2 runs: max = 32.8s, min = 26.7s, avg = 29.8s, dev = 3.1s //tensorflow/python/distribute:strategy_common_test_xla_2gpu PASSED in 20.7s Stats over 2 runs: max = 20.7s, min = 19.4s, avg = 20.1s, dev = 0.7s //tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu PASSED in 47.1s Stats over 2 runs: max = 47.1s, min = 46.1s, avg = 46.6s, dev = 0.5s //tensorflow/python/kernel_tests/array_ops:scatter_ops_test_cpu PASSED in 21.3s Stats over 2 runs: max = 21.3s, min = 20.4s, avg = 20.9s, dev = 0.5s //tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 15.6s Stats over 2 runs: max = 15.6s, min = 15.0s, avg = 15.3s, dev = 0.3s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 10.9s Stats over 2 runs: max = 10.9s, min = 9.4s, avg = 10.2s, dev = 0.8s //tensorflow/python/kernel_tests/nn_ops:atrous_conv2d_test_cpu PASSED in 26.2s Stats over 2 runs: max = 26.2s, min = 17.8s, avg = 22.0s, dev = 4.2s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 131.6s Stats over 2 runs: max = 131.6s, min = 56.9s, avg = 94.3s, dev = 37.4s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 67.1s Stats over 2 runs: max = 67.1s, min = 11.5s, avg = 39.3s, dev = 27.8s //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 12.5s Stats over 3 runs: max = 12.5s, min = 12.2s, avg = 12.4s, dev = 0.1s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 9.6s Stats over 3 runs: max = 9.6s, min = 9.3s, avg = 9.5s, dev = 0.2s //tensorflow/compiler/xla/tests:triangular_solve_test_cpu PASSED in 58.2s Stats over 3 runs: max = 58.2s, min = 55.0s, avg = 56.7s, dev = 1.3s //tensorflow/core/data/service:thread_safe_buffer_test PASSED in 0.5s Stats over 3 runs: max = 0.5s, min = 0.1s, avg = 0.3s, dev = 0.1s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 17.4s Stats over 3 runs: max = 17.4s, min = 13.1s, avg = 15.9s, dev = 2.0s //tensorflow/python/data/kernel_tests:unique_test PASSED in 26.8s Stats over 3 runs: max = 26.8s, min = 18.2s, avg = 21.1s, dev = 4.0s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 54.3s Stats over 3 runs: max = 54.3s, min = 29.6s, avg = 38.3s, dev = 11.3s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 13.1s Stats over 3 runs: max = 13.1s, min = 12.4s, avg = 12.7s, dev = 0.3s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 11.7s Stats over 3 runs: max = 11.7s, min = 10.6s, avg = 11.3s, dev = 0.5s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 238.7s Stats over 3 runs: max = 238.7s, min = 7.9s, avg = 85.2s, dev = 108.6s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 13.7s Stats over 3 runs: max = 13.7s, min = 10.9s, avg = 11.8s, dev = 1.3s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 13.4s Stats over 4 runs: max = 13.4s, min = 10.1s, avg = 11.5s, dev = 1.4s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 34.7s Stats over 4 runs: max = 34.7s, min = 31.1s, avg = 32.7s, dev = 1.4s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 32.4s Stats over 4 runs: max = 32.4s, min = 8.6s, avg = 21.9s, dev = 10.1s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 39.6s Stats over 4 runs: max = 39.6s, min = 8.5s, avg = 26.5s, dev = 13.1s //tensorflow/compiler/xla/tests:dynamic_ops_test_cpu PASSED in 10.8s Stats over 4 runs: max = 10.8s, min = 9.1s, avg = 9.9s, dev = 0.7s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 0.8s Stats over 4 runs: max = 0.8s, min = 0.7s, avg = 0.8s, dev = 0.0s //tensorflow/python:nn_batchnorm_test_cpu PASSED in 34.7s Stats over 4 runs: max = 34.7s, min = 20.2s, avg = 27.5s, dev = 5.3s //tensorflow/python:nn_fused_batchnorm_d9m_test_cpu PASSED in 16.3s Stats over 4 runs: max = 16.3s, min = 14.0s, avg = 15.5s, dev = 0.9s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 74.9s Stats over 4 runs: max = 74.9s, min = 56.3s, avg = 65.5s, dev = 7.5s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 35.7s Stats over 4 runs: max = 35.7s, min = 22.5s, avg = 26.6s, dev = 5.4s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 23.2s Stats over 4 runs: max = 23.2s, min = 11.7s, avg = 17.6s, dev = 5.5s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 23.2s Stats over 4 runs: max = 23.2s, min = 11.3s, avg = 15.7s, dev = 4.6s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 46.0s Stats over 4 runs: max = 46.0s, min = 30.7s, avg = 37.8s, dev = 6.8s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 10.1s Stats over 4 runs: max = 10.1s, min = 8.0s, avg = 9.1s, dev = 0.9s //tensorflow/python/data/kernel_tests:batch_test PASSED in 47.8s Stats over 4 runs: max = 47.8s, min = 37.5s, avg = 41.1s, dev = 4.0s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 16.6s Stats over 4 runs: max = 16.6s, min = 9.6s, avg = 13.0s, dev = 2.9s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 36.3s Stats over 4 runs: max = 36.3s, min = 19.8s, avg = 27.6s, dev = 6.3s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 21.9s Stats over 4 runs: max = 21.9s, min = 9.6s, avg = 14.8s, dev = 5.3s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 19.7s Stats over 4 runs: max = 19.7s, min = 17.1s, avg = 18.6s, dev = 1.0s //tensorflow/python/data/kernel_tests:skip_test PASSED in 24.1s Stats over 4 runs: max = 24.1s, min = 19.7s, avg = 21.7s, dev = 2.0s //tensorflow/python/data/kernel_tests:take_test PASSED in 23.4s Stats over 4 runs: max = 23.4s, min = 22.3s, avg = 23.1s, dev = 0.5s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 34.8s Stats over 4 runs: max = 34.8s, min = 32.1s, avg = 33.1s, dev = 1.0s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 24.6s Stats over 4 runs: max = 24.6s, min = 17.1s, avg = 21.7s, dev = 3.1s //tensorflow/python/data/kernel_tests:zip_test PASSED in 16.8s Stats over 4 runs: max = 16.8s, min = 14.4s, avg = 15.6s, dev = 0.9s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 21.2s Stats over 4 runs: max = 21.2s, min = 19.8s, avg = 20.6s, dev = 0.6s //tensorflow/python/distribute:cross_device_ops_test_2gpu PASSED in 36.4s Stats over 4 runs: max = 36.4s, min = 27.6s, avg = 32.2s, dev = 3.4s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 91.3s Stats over 4 runs: max = 91.3s, min = 82.6s, avg = 85.9s, dev = 3.4s //tensorflow/python/distribute:strategy_gather_test_2gpu PASSED in 27.3s Stats over 4 runs: max = 27.3s, min = 18.7s, avg = 23.1s, dev = 4.0s //tensorflow/python/distribute:strategy_gather_test_cpu PASSED in 24.8s Stats over 4 runs: max = 24.8s, min = 15.6s, avg = 20.2s, dev = 4.0s //tensorflow/python/distribute:strategy_gather_test_xla_2gpu PASSED in 33.0s Stats over 4 runs: max = 33.0s, min = 9.7s, avg = 21.1s, dev = 8.8s //tensorflow/python/framework:convert_to_constants_test PASSED in 27.3s Stats over 4 runs: max = 27.3s, min = 19.3s, avg = 22.2s, dev = 3.3s //tensorflow/python/kernel_tests:collective_ops_test_2gpu PASSED in 37.3s Stats over 4 runs: max = 37.3s, min = 34.6s, avg = 35.7s, dev = 1.0s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 37.2s Stats over 4 runs: max = 37.2s, min = 35.2s, avg = 36.1s, dev = 0.8s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 17.3s Stats over 4 runs: max = 17.3s, min = 14.9s, avg = 16.1s, dev = 0.9s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 61.9s Stats over 4 runs: max = 61.9s, min = 21.5s, avg = 40.2s, dev = 16.5s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 29.2s Stats over 4 runs: max = 29.2s, min = 9.3s, avg = 16.5s, dev = 8.1s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 88.0s Stats over 4 runs: max = 88.0s, min = 13.6s, avg = 44.1s, dev = 30.4s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 26.8s Stats over 4 runs: max = 26.8s, min = 25.4s, avg = 26.2s, dev = 0.5s //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu PASSED in 50.8s Stats over 4 runs: max = 50.8s, min = 37.4s, avg = 43.6s, dev = 5.0s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 85.3s Stats over 4 runs: max = 85.3s, min = 10.5s, avg = 43.0s, dev = 32.8s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 16.0s Stats over 4 runs: max = 16.0s, min = 15.1s, avg = 15.6s, dev = 0.4s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 66.4s Stats over 4 runs: max = 66.4s, min = 17.3s, avg = 40.0s, dev = 17.6s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 42.5s Stats over 4 runs: max = 42.5s, min = 39.6s, avg = 41.6s, dev = 1.2s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 7.9s Stats over 5 runs: max = 7.9s, min = 6.9s, avg = 7.3s, dev = 0.4s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 14.4s Stats over 5 runs: max = 14.4s, min = 6.0s, avg = 9.7s, dev = 3.6s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 19.6s Stats over 5 runs: max = 19.6s, min = 11.7s, avg = 14.9s, dev = 3.6s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 14.5s Stats over 5 runs: max = 14.5s, min = 9.1s, avg = 11.3s, dev = 1.9s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 15.4s Stats over 5 runs: max = 15.4s, min = 9.3s, avg = 11.8s, dev = 2.2s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 7.0s Stats over 5 runs: max = 7.0s, min = 6.3s, avg = 6.8s, dev = 0.3s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 9.3s Stats over 5 runs: max = 9.3s, min = 8.5s, avg = 8.9s, dev = 0.3s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 20.9s Stats over 5 runs: max = 20.9s, min = 20.0s, avg = 20.2s, dev = 0.4s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 10.8s Stats over 5 runs: max = 10.8s, min = 9.1s, avg = 9.9s, dev = 0.6s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 11.4s Stats over 5 runs: max = 11.4s, min = 10.1s, avg = 10.8s, dev = 0.5s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 10.0s Stats over 5 runs: max = 10.0s, min = 9.1s, avg = 9.4s, dev = 0.3s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 11.8s Stats over 5 runs: max = 11.8s, min = 8.7s, avg = 9.7s, dev = 1.2s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 107.3s Stats over 5 runs: max = 107.3s, min = 18.2s, avg = 52.1s, dev = 30.3s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 80.8s Stats over 5 runs: max = 80.8s, min = 11.8s, avg = 35.2s, dev = 24.2s //tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu PASSED in 31.7s Stats over 5 runs: max = 31.7s, min = 17.5s, avg = 25.7s, dev = 6.1s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 3.6s Stats over 5 runs: max = 3.6s, min = 1.9s, avg = 2.8s, dev = 0.6s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 12.9s Stats over 5 runs: max = 12.9s, min = 9.9s, avg = 11.6s, dev = 1.2s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 16.2s Stats over 5 runs: max = 16.2s, min = 15.3s, avg = 16.0s, dev = 0.3s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 12.7s Stats over 5 runs: max = 12.7s, min = 11.4s, avg = 12.0s, dev = 0.5s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 17.0s Stats over 5 runs: max = 17.0s, min = 13.0s, avg = 15.0s, dev = 1.7s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 15.7s Stats over 5 runs: max = 15.7s, min = 14.0s, avg = 14.7s, dev = 0.6s //tensorflow/python/distribute:vars_test_2gpu PASSED in 17.4s Stats over 5 runs: max = 17.4s, min = 14.4s, avg = 15.5s, dev = 1.1s //tensorflow/python/distribute:vars_test_cpu PASSED in 15.3s Stats over 5 runs: max = 15.3s, min = 12.9s, avg = 13.7s, dev = 0.8s //tensorflow/python/eager:device_placement_test_cpu PASSED in 11.3s Stats over 5 runs: max = 11.3s, min = 10.6s, avg = 11.0s, dev = 0.3s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 74.6s Stats over 5 runs: max = 74.6s, min = 16.5s, avg = 41.7s, dev = 19.1s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 23.6s Stats over 5 runs: max = 23.6s, min = 14.2s, avg = 18.0s, dev = 3.7s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 53.7s Stats over 5 runs: max = 53.7s, min = 34.9s, avg = 44.2s, dev = 7.1s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 88.5s Stats over 5 runs: max = 88.5s, min = 86.5s, avg = 87.4s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 38.7s Stats over 5 runs: max = 38.7s, min = 35.5s, avg = 37.5s, dev = 1.1s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 24.0s Stats over 5 runs: max = 24.0s, min = 22.7s, avg = 23.7s, dev = 0.5s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 33.4s Stats over 5 runs: max = 33.4s, min = 28.9s, avg = 31.3s, dev = 1.6s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 25.2s Stats over 5 runs: max = 25.2s, min = 24.4s, avg = 24.8s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 38.0s Stats over 5 runs: max = 38.0s, min = 36.2s, avg = 37.4s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 24.5s Stats over 5 runs: max = 24.5s, min = 23.2s, avg = 23.8s, dev = 0.4s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 25.0s Stats over 5 runs: max = 25.0s, min = 22.6s, avg = 23.9s, dev = 0.9s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 17.5s Stats over 5 runs: max = 17.5s, min = 14.9s, avg = 15.6s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 97.2s Stats over 5 runs: max = 97.2s, min = 91.0s, avg = 93.4s, dev = 2.1s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 9.7s Stats over 5 runs: max = 9.7s, min = 9.5s, avg = 9.6s, dev = 0.1s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 15.7s Stats over 5 runs: max = 15.7s, min = 13.9s, avg = 15.1s, dev = 0.7s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 14.2s Stats over 5 runs: max = 14.2s, min = 6.1s, avg = 8.1s, dev = 3.1s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 15.4s Stats over 5 runs: max = 15.4s, min = 6.8s, avg = 9.0s, dev = 3.2s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 40.7s Stats over 5 runs: max = 40.7s, min = 8.0s, avg = 15.4s, dev = 12.7s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 91.2s Stats over 5 runs: max = 91.2s, min = 26.6s, avg = 51.7s, dev = 22.7s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 16.1s Stats over 6 runs: max = 16.1s, min = 12.6s, avg = 14.4s, dev = 1.2s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 30.7s Stats over 6 runs: max = 30.7s, min = 23.9s, avg = 28.5s, dev = 2.2s //tensorflow/python:accumulate_n_benchmark_cpu PASSED in 7.1s Stats over 6 runs: max = 7.1s, min = 3.1s, avg = 5.1s, dev = 1.3s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 23.1s Stats over 6 runs: max = 23.1s, min = 7.6s, avg = 14.5s, dev = 6.9s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 76.7s Stats over 6 runs: max = 76.7s, min = 10.8s, avg = 24.4s, dev = 23.5s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 38.0s Stats over 6 runs: max = 38.0s, min = 23.6s, avg = 32.0s, dev = 4.6s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 12.9s Stats over 7 runs: max = 12.9s, min = 5.8s, avg = 8.7s, dev = 2.7s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 45.8s Stats over 8 runs: max = 45.8s, min = 7.9s, avg = 21.5s, dev = 13.5s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 72.4s Stats over 8 runs: max = 72.4s, min = 8.7s, avg = 29.6s, dev = 22.3s //tensorflow/dtensor/python/tests:input_util_test PASSED in 39.4s Stats over 8 runs: max = 39.4s, min = 13.9s, avg = 28.6s, dev = 9.8s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 28.8s Stats over 8 runs: max = 28.8s, min = 11.8s, avg = 18.3s, dev = 6.6s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 29.4s Stats over 8 runs: max = 29.4s, min = 11.8s, avg = 20.7s, dev = 5.9s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 50.2s Stats over 8 runs: max = 50.2s, min = 14.7s, avg = 30.3s, dev = 14.8s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 53.8s Stats over 8 runs: max = 53.8s, min = 15.4s, avg = 27.3s, dev = 15.4s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 24.3s Stats over 8 runs: max = 24.3s, min = 5.7s, avg = 13.1s, dev = 6.8s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 31.8s Stats over 8 runs: max = 31.8s, min = 20.8s, avg = 25.1s, dev = 4.1s //tensorflow/python/data/kernel_tests:filter_test PASSED in 20.4s Stats over 8 runs: max = 20.4s, min = 16.0s, avg = 18.4s, dev = 1.4s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 22.5s Stats over 8 runs: max = 22.5s, min = 15.7s, avg = 18.8s, dev = 2.6s //tensorflow/python/data/kernel_tests:shard_test PASSED in 28.3s Stats over 8 runs: max = 28.3s, min = 23.5s, avg = 26.2s, dev = 1.8s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 60.0s Stats over 8 runs: max = 60.0s, min = 24.1s, avg = 30.5s, dev = 11.3s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 21.6s Stats over 8 runs: max = 21.6s, min = 13.2s, avg = 17.2s, dev = 2.2s //tensorflow/python/distribute/failure_handling:failure_handler_test PASSED in 58.4s Stats over 8 runs: max = 58.4s, min = 23.9s, avg = 42.5s, dev = 10.2s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 47.9s Stats over 8 runs: max = 47.9s, min = 30.1s, avg = 40.2s, dev = 6.1s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 68.9s Stats over 8 runs: max = 68.9s, min = 59.8s, avg = 65.1s, dev = 3.1s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 48.9s Stats over 8 runs: max = 48.9s, min = 30.4s, avg = 38.9s, dev = 6.4s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 60.3s Stats over 8 runs: max = 60.3s, min = 6.1s, avg = 14.9s, dev = 17.7s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 7.6s Stats over 8 runs: max = 7.6s, min = 7.1s, avg = 7.4s, dev = 0.1s //tensorflow/python/kernel_tests/signal:fft_ops_test_cpu PASSED in 21.1s Stats over 8 runs: max = 21.1s, min = 6.5s, avg = 12.6s, dev = 5.6s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 45.1s Stats over 8 runs: max = 45.1s, min = 31.6s, avg = 37.1s, dev = 4.6s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 28.2s Stats over 8 runs: max = 28.2s, min = 13.0s, avg = 17.6s, dev = 4.5s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test FLAKY, failed in 1 out of 9 in 332.6s Stats over 9 runs: max = 332.6s, min = 11.6s, avg = 57.7s, dev = 98.0s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/distribute/failure_handling/gce_failure_handler_test/shard_7_of_8/test_attempts/attempt_1.log //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 9.3s Stats over 10 runs: max = 9.3s, min = 8.0s, avg = 8.5s, dev = 0.3s //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 9.8s Stats over 10 runs: max = 9.8s, min = 8.4s, avg = 9.1s, dev = 0.5s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 8.6s Stats over 10 runs: max = 8.6s, min = 6.7s, avg = 7.4s, dev = 0.6s //tensorflow/compiler/tests:image_ops_test_cpu PASSED in 14.7s Stats over 10 runs: max = 14.7s, min = 10.8s, avg = 12.6s, dev = 1.3s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 32.1s Stats over 10 runs: max = 32.1s, min = 26.7s, avg = 29.3s, dev = 1.8s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 24.9s Stats over 10 runs: max = 24.9s, min = 9.0s, avg = 17.0s, dev = 6.6s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 67.1s Stats over 10 runs: max = 67.1s, min = 40.9s, avg = 55.0s, dev = 9.0s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 85.6s Stats over 10 runs: max = 85.6s, min = 56.2s, avg = 72.0s, dev = 10.0s //tensorflow/compiler/xla/client/lib:svd_test_cpu PASSED in 67.3s Stats over 10 runs: max = 67.3s, min = 7.2s, avg = 23.7s, dev = 22.9s //tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu PASSED in 7.5s Stats over 10 runs: max = 7.5s, min = 6.2s, avg = 6.8s, dev = 0.4s //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 15.2s Stats over 10 runs: max = 15.2s, min = 1.8s, avg = 10.5s, dev = 4.3s //tensorflow/python:special_math_ops_test_cpu PASSED in 62.9s Stats over 10 runs: max = 62.9s, min = 23.4s, avg = 29.7s, dev = 11.5s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 16.3s Stats over 10 runs: max = 16.3s, min = 7.8s, avg = 10.9s, dev = 2.2s //tensorflow/python/distribute:input_lib_test_2gpu PASSED in 28.7s Stats over 10 runs: max = 28.7s, min = 23.3s, avg = 25.7s, dev = 1.8s //tensorflow/python/distribute:input_lib_test_cpu PASSED in 27.3s Stats over 10 runs: max = 27.3s, min = 21.3s, avg = 23.9s, dev = 2.0s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 21.7s Stats over 10 runs: max = 21.7s, min = 10.1s, avg = 16.2s, dev = 3.9s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 16.3s Stats over 10 runs: max = 16.3s, min = 4.6s, avg = 10.2s, dev = 3.6s //tensorflow/python/framework:config_vgpu_test_2gpu PASSED in 6.9s Stats over 10 runs: max = 6.9s, min = 5.8s, avg = 6.3s, dev = 0.5s //tensorflow/python/framework:config_vgpu_test_cpu PASSED in 9.0s Stats over 10 runs: max = 9.0s, min = 5.8s, avg = 7.2s, dev = 1.1s //tensorflow/python/framework:function_test_cpu PASSED in 50.5s Stats over 10 runs: max = 50.5s, min = 5.9s, avg = 12.6s, dev = 12.9s //tensorflow/python/grappler:cluster_test_cpu PASSED in 7.1s Stats over 10 runs: max = 7.1s, min = 4.4s, avg = 6.1s, dev = 1.0s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 14.6s Stats over 10 runs: max = 14.6s, min = 10.8s, avg = 12.4s, dev = 1.2s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 10.4s Stats over 10 runs: max = 10.4s, min = 7.8s, avg = 9.3s, dev = 1.0s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 11.7s Stats over 10 runs: max = 11.7s, min = 8.3s, avg = 9.5s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:linear_operator_kronecker_test_cpu PASSED in 33.7s Stats over 10 runs: max = 33.7s, min = 30.2s, avg = 32.4s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 86.1s Stats over 10 runs: max = 86.1s, min = 77.0s, avg = 81.9s, dev = 3.0s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 116.8s Stats over 10 runs: max = 116.8s, min = 3.9s, avg = 17.3s, dev = 33.2s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 53.7s Stats over 10 runs: max = 53.7s, min = 18.3s, avg = 36.4s, dev = 11.4s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 33.8s Stats over 10 runs: max = 33.8s, min = 10.7s, avg = 19.8s, dev = 8.3s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu PASSED in 23.5s Stats over 10 runs: max = 23.5s, min = 8.4s, avg = 12.2s, dev = 5.7s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 15.2s Stats over 10 runs: max = 15.2s, min = 14.0s, avg = 14.6s, dev = 0.4s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 8.3s Stats over 10 runs: max = 8.3s, min = 6.2s, avg = 7.3s, dev = 0.8s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 117.5s Stats over 10 runs: max = 117.5s, min = 18.2s, avg = 67.4s, dev = 48.1s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 29.4s Stats over 10 runs: max = 29.4s, min = 24.7s, avg = 27.2s, dev = 1.4s //tensorflow/python/saved_model:load_test_cpu PASSED in 48.6s Stats over 10 runs: max = 48.6s, min = 24.6s, avg = 30.1s, dev = 6.5s //tensorflow/compiler/tests:fft_test_cpu PASSED in 19.2s Stats over 12 runs: max = 19.2s, min = 5.0s, avg = 12.2s, dev = 5.0s //tensorflow/compiler/xla/service:triangular_solve_expander_test PASSED in 5.2s Stats over 12 runs: max = 5.2s, min = 2.5s, avg = 3.7s, dev = 0.9s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 17.8s Stats over 12 runs: max = 17.8s, min = 7.6s, avg = 11.7s, dev = 3.3s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 13.4s Stats over 12 runs: max = 13.4s, min = 7.9s, avg = 9.8s, dev = 1.7s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 12.5s Stats over 12 runs: max = 12.5s, min = 9.3s, avg = 10.9s, dev = 1.2s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 225.3s Stats over 12 runs: max = 225.3s, min = 13.6s, avg = 51.8s, dev = 58.5s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 222.2s Stats over 12 runs: max = 222.2s, min = 12.2s, avg = 49.8s, dev = 57.8s //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 77.7s Stats over 15 runs: max = 77.7s, min = 12.4s, avg = 18.8s, dev = 15.8s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 80.5s Stats over 15 runs: max = 80.5s, min = 61.2s, avg = 71.2s, dev = 5.2s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 49.4s Stats over 15 runs: max = 49.4s, min = 14.0s, avg = 19.1s, dev = 8.8s //tensorflow/python:image_ops_test_cpu PASSED in 18.9s Stats over 16 runs: max = 18.9s, min = 11.7s, avg = 14.9s, dev = 2.1s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 20.5s Stats over 16 runs: max = 20.5s, min = 12.2s, avg = 15.7s, dev = 2.5s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 28.7s Stats over 16 runs: max = 28.7s, min = 6.9s, avg = 13.8s, dev = 5.7s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 23.8s Stats over 16 runs: max = 23.8s, min = 9.9s, avg = 16.8s, dev = 3.7s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 31.6s Stats over 16 runs: max = 31.6s, min = 5.6s, avg = 11.1s, dev = 6.2s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 85.6s Stats over 16 runs: max = 85.6s, min = 79.9s, avg = 82.7s, dev = 1.3s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 10.9s Stats over 16 runs: max = 10.9s, min = 6.3s, avg = 8.5s, dev = 1.6s //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu PASSED in 51.2s Stats over 16 runs: max = 51.2s, min = 12.5s, avg = 24.9s, dev = 9.8s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 14.0s Stats over 17 runs: max = 14.0s, min = 2.9s, avg = 7.4s, dev = 2.5s //tensorflow/python/data/kernel_tests:map_test PASSED in 41.0s Stats over 19 runs: max = 41.0s, min = 14.8s, avg = 21.4s, dev = 5.7s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 10.1s Stats over 20 runs: max = 10.1s, min = 3.1s, avg = 6.6s, dev = 2.5s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 7.8s Stats over 20 runs: max = 7.8s, min = 4.6s, avg = 6.0s, dev = 0.9s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 11.6s Stats over 20 runs: max = 11.6s, min = 4.7s, avg = 6.7s, dev = 1.5s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 12.3s Stats over 20 runs: max = 12.3s, min = 6.0s, avg = 7.4s, dev = 1.4s //tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu PASSED in 8.3s Stats over 20 runs: max = 8.3s, min = 7.0s, avg = 7.6s, dev = 0.3s //tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 20.0s Stats over 20 runs: max = 20.0s, min = 12.7s, avg = 15.4s, dev = 1.8s //tensorflow/compiler/xla/tests:dot_operation_test_cpu PASSED in 12.7s Stats over 20 runs: max = 12.7s, min = 9.6s, avg = 11.2s, dev = 0.8s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 14.1s Stats over 20 runs: max = 14.1s, min = 6.7s, avg = 9.2s, dev = 1.8s //tensorflow/compiler/xla/tests:reduce_window_test_cpu PASSED in 42.2s Stats over 20 runs: max = 42.2s, min = 7.0s, avg = 16.3s, dev = 11.0s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 23.8s Stats over 20 runs: max = 23.8s, min = 17.6s, avg = 21.2s, dev = 1.6s //tensorflow/python/kernel_tests:metrics_test PASSED in 36.5s Stats over 20 runs: max = 36.5s, min = 8.4s, avg = 18.5s, dev = 8.2s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 8.3s Stats over 20 runs: max = 8.3s, min = 4.7s, avg = 6.7s, dev = 1.2s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 13.9s Stats over 20 runs: max = 13.9s, min = 3.2s, avg = 8.0s, dev = 2.8s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 42.9s Stats over 20 runs: max = 42.9s, min = 3.4s, avg = 14.3s, dev = 13.3s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 87.6s Stats over 20 runs: max = 87.6s, min = 28.0s, avg = 48.9s, dev = 16.1s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 20.2s Stats over 20 runs: max = 20.2s, min = 16.9s, avg = 18.7s, dev = 1.1s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 12.2s Stats over 20 runs: max = 12.2s, min = 6.9s, avg = 9.4s, dev = 1.5s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 102.1s Stats over 20 runs: max = 102.1s, min = 27.9s, avg = 68.1s, dev = 25.0s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 22.1s Stats over 20 runs: max = 22.1s, min = 6.4s, avg = 11.3s, dev = 4.9s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 20.9s Stats over 20 runs: max = 20.9s, min = 5.1s, avg = 13.3s, dev = 6.0s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 18.1s Stats over 20 runs: max = 18.1s, min = 13.0s, avg = 16.3s, dev = 1.5s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 54.2s Stats over 20 runs: max = 54.2s, min = 6.9s, avg = 25.0s, dev = 16.6s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 18.0s Stats over 20 runs: max = 18.0s, min = 11.0s, avg = 13.5s, dev = 1.7s //tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 20.5s Stats over 24 runs: max = 20.5s, min = 4.7s, avg = 14.0s, dev = 3.8s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 23.6s Stats over 24 runs: max = 23.6s, min = 10.9s, avg = 16.3s, dev = 3.7s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 22.5s Stats over 24 runs: max = 22.5s, min = 4.9s, avg = 12.2s, dev = 4.8s //tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu PASSED in 9.3s Stats over 25 runs: max = 9.3s, min = 7.5s, avg = 8.3s, dev = 0.5s //tensorflow/compiler/xla/tests:select_and_scatter_test_cpu PASSED in 38.2s Stats over 25 runs: max = 38.2s, min = 7.1s, avg = 12.3s, dev = 7.5s //tensorflow/compiler/xla/tests:convolution_variants_test_cpu PASSED in 7.9s Stats over 30 runs: max = 7.9s, min = 6.0s, avg = 7.0s, dev = 0.5s //tensorflow/compiler/xla/tests:iota_test_cpu PASSED in 20.4s Stats over 30 runs: max = 20.4s, min = 11.5s, avg = 16.1s, dev = 2.1s //tensorflow/compiler/xla/tests:params_test_cpu PASSED in 9.1s Stats over 30 runs: max = 9.1s, min = 7.1s, avg = 8.3s, dev = 0.4s //tensorflow/compiler/xla/tests:reshape_test_cpu PASSED in 10.0s Stats over 30 runs: max = 10.0s, min = 7.0s, avg = 8.6s, dev = 1.1s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 16.0s Stats over 30 runs: max = 16.0s, min = 3.1s, avg = 9.1s, dev = 3.4s //tensorflow/compiler/xla/tests:reduce_test_cpu PASSED in 8.8s Stats over 31 runs: max = 8.8s, min = 6.8s, avg = 8.1s, dev = 0.6s //tensorflow/compiler/xla/tests:scalar_computations_test_cpu PASSED in 11.9s Stats over 32 runs: max = 11.9s, min = 6.8s, avg = 9.0s, dev = 1.3s //tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 18.4s Stats over 32 runs: max = 18.4s, min = 3.5s, avg = 12.0s, dev = 4.1s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 24.2s Stats over 32 runs: max = 24.2s, min = 7.7s, avg = 16.3s, dev = 4.5s //tensorflow/compiler/xla/tests:batch_normalization_test_cpu PASSED in 10.0s Stats over 40 runs: max = 10.0s, min = 7.4s, avg = 8.9s, dev = 0.7s //tensorflow/compiler/xla/tests:bfloat16_test_cpu PASSED in 10.5s Stats over 40 runs: max = 10.5s, min = 8.3s, avg = 9.3s, dev = 0.4s //tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu PASSED in 10.7s Stats over 40 runs: max = 10.7s, min = 7.3s, avg = 9.1s, dev = 0.9s //tensorflow/compiler/xla/tests:slice_test_cpu PASSED in 10.1s Stats over 40 runs: max = 10.1s, min = 7.2s, avg = 8.3s, dev = 0.6s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 40.1s Stats over 50 runs: max = 40.1s, min = 15.8s, avg = 24.6s, dev = 5.8s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 39.2s Stats over 50 runs: max = 39.2s, min = 2.8s, avg = 11.6s, dev = 7.8s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 96.4s Stats over 50 runs: max = 96.4s, min = 3.0s, avg = 31.9s, dev = 25.4s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 16.4s Stats over 50 runs: max = 16.4s, min = 8.3s, avg = 10.5s, dev = 1.9s //tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu PASSED in 12.8s Stats over 50 runs: max = 12.8s, min = 9.9s, avg = 11.7s, dev = 0.7s //tensorflow/compiler/xla/tests:convolution_test_cpu PASSED in 14.2s Stats over 50 runs: max = 14.2s, min = 9.4s, avg = 12.1s, dev = 1.3s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 15.2s Stats over 50 runs: max = 15.2s, min = 4.0s, avg = 8.5s, dev = 2.9s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 8.9s Stats over 50 runs: max = 8.9s, min = 2.9s, avg = 4.3s, dev = 1.5s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 7.8s Stats over 50 runs: max = 7.8s, min = 3.1s, avg = 5.1s, dev = 1.4s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 31.3s Stats over 50 runs: max = 31.3s, min = 7.2s, avg = 14.8s, dev = 5.8s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 10.6s Stats over 50 runs: max = 10.6s, min = 3.2s, avg = 5.5s, dev = 2.1s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 13.5s Stats over 50 runs: max = 13.5s, min = 3.0s, avg = 5.2s, dev = 2.8s Executed 3655 out of 3655 tests: 3655 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.