==================== Test output for //tensorflow/python/distribute/failure_handling:gce_failure_handler_test (shard 3 of 8): Running tests under Python 3.8.10: /usr/local/bin/python3 [ RUN ] GceFailureHandlingTest.test_basic_run_test_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 35383 I0613 19:59:40.330859 281473191408480 test_util.py:3796] Using local port 35383 INFO:tensorflow:Using local port 33083 I0613 19:59:40.331456 281473191408480 test_util.py:3796] Using local port 33083 INFO:tensorflow:Using local port 44741 I0613 19:59:40.331780 281473191408480 test_util.py:3796] Using local port 44741 INFO:tensorflow:Using local port 34931 I0613 19:59:40.332087 281473191408480 test_util.py:3796] Using local port 34931 INFO:tensorflow:Cluster starting. I0613 19:59:43.340523 281473191408480 gce_failure_handler_test.py:317] Cluster starting. [worker-0]: I0613 19:59:43.393474 281472864187232 multi_process_runner.py:840] Subprocess with PID 268512 (worker, 0) is now being started. [worker-0]: I0613 19:59:43.393876 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:35383", "localhost:33083", "localhost:44741", "localhost:34931"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0613 19:59:43.403390 281472864187232 multi_process_runner.py:840] Subprocess with PID 268610 (worker, 1) is now being started. [worker-2]: I0613 19:59:43.403514 281472864187232 multi_process_runner.py:840] Subprocess with PID 268622 (worker, 2) is now being started. [worker-3]: I0613 19:59:43.403722 281472864187232 multi_process_runner.py:840] Subprocess with PID 268629 (worker, 3) is now being started. [worker-2]: I0613 19:59:43.403878 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:35383", "localhost:33083", "localhost:44741", "localhost:34931"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-1]: I0613 19:59:43.403826 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:35383", "localhost:33083", "localhost:44741", "localhost:34931"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-3]: I0613 19:59:43.404071 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:35383", "localhost:33083", "localhost:44741", "localhost:34931"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-06-13 19:59:43.425610: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:35383 [worker-2]: 2023-06-13 19:59:43.434778: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:44741 [worker-1]: 2023-06-13 19:59:43.434825: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:33083 [worker-0]: 2023-06-13 19:59:43.440553: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 5902492568119939276 [worker-1]: 2023-06-13 19:59:43.440835: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 19:59:43.442606: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 6427986217485771983 [worker-0]: 2023-06-13 19:59:43.442881: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 19:59:43.443754: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 10737780324249714661 [worker-2]: 2023-06-13 19:59:43.443915: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-3]: 2023-06-13 19:59:43.456968: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:34931 [worker-0]: 2023-06-13 19:59:43.464101: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 5016745341349786623 [worker-3]: 2023-06-13 19:59:43.464306: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I0613 19:59:43.465913 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I0613 19:59:43.465963 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-3]: I0613 19:59:43.466930 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-2]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I0613 19:59:43.482783 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-3]: I0613 19:59:43.518280 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-0]: I0613 19:59:43.518422 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-0]: INFO:tensorflow:Check health not enabled. [worker-3]: I0613 19:59:43.518724 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: I0613 19:59:43.518819 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:35383', 'localhost:33083', 'localhost:44741', 'localhost:34931']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:35383', 'localhost:33083', 'localhost:44741', 'localhost:34931']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0613 19:59:43.518893 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:35383', 'localhost:33083', 'localhost:44741', 'localhost:34931']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 19:59:43.518989 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:35383', 'localhost:33083', 'localhost:44741', 'localhost:34931']}, 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]: I0613 19:59:43.528372 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0613 19:59:43.528814 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:35383', 'localhost:33083', 'localhost:44741', 'localhost:34931']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0613 19:59:43.528986 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:35383', 'localhost:33083', 'localhost:44741', 'localhost:34931']}, 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]: I0613 19:59:43.535371 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0613 19:59:43.535778 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:35383', 'localhost:33083', 'localhost:44741', 'localhost:34931']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0613 19:59:43.535946 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:35383', 'localhost:33083', 'localhost:44741', 'localhost:34931']}, 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]: I0613 19:59:43.562883 281472864187232 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]: I0613 19:59:43.563519 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-2]: I0613 19:59:43.563702 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0613 19:59:43.563694 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0613 19:59:43.563844 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0613 19:59:43.563886 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: I0613 19:59:43.564260 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-2]: I0613 19:59:43.564585 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-3]: I0613 19:59:43.564501 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: INFO:tensorflow: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-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0613 19:59:43.564608 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: I0613 19:59:43.564846 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: I0613 19:59:43.564948 281472864187232 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-0]: Instructions for updating: [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-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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: Instructions for updating: [worker-0]: W0613 19:59:43.564142 281472864187232 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]: W0613 19:59:43.564890 281472864187232 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]: 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]: W0613 19:59:43.565233 281472864187232 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-3]: W0613 19:59:43.565112 281472864187232 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-2]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: Instructions for updating: [worker-0]: INFO:tensorflow:Start training at 0 [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: INFO:tensorflow:Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: I0613 19:59:43.565050 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: INFO:tensorflow:Start training at 0 [worker-2]: I0613 19:59:43.565392 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: I0613 19:59:43.564294 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: INFO:tensorflow:Start training at 0 [worker-3]: I0613 19:59:43.565266 281472864187232 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-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]: I0613 19:59:43.661918 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 19:59:43.661976 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.661928 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:43.666602 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 19:59:43.720378 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:43.720566 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 19:59:43.720517 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:43.720957 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.775275 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:43.775339 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 19:59:43.775464 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:43.775369 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.822596 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:43.822686 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 19:59:43.822746 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:43.822934 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.869880 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.871109 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.872412 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.872701 281472864187232 cross_device_ops.py:1152] 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 0xfffee05f09d0> 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 0xfffee05ef9d0> 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 0xfffee05ee9d0> 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 0xfffee05ed9d0> 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]: W0613 19:59:43.915980 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ef9d0> 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]: W0613 19:59:43.915888 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05f09d0> 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]: W0613 19:59:43.916043 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ee9d0> 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]: W0613 19:59:43.916005 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ed9d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 19:59:43.923569 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:43.923830 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.925560 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.926216 281472864187232 cross_device_ops.py:1152] 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 0xfffee060e160> 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 0xfffee060e160> 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 0xfffee060e160> 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 0xfffee0590160> 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]: W0613 19:59:43.972635 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee060e160> 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]: W0613 19:59:43.972389 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee060e160> 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]: W0613 19:59:43.972674 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee060e160> 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]: W0613 19:59:43.972616 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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]: INFO:tensorflow:epoch 0 finished [worker-0]: INFO:tensorflow:epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-3]: I0613 19:59:43.972759 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0613 19:59:43.972986 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-0]: I0613 19:59:43.973142 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0613 19:59:43.973016 281472864187232 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-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]: I0613 19:59:43.979992 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 19:59:43.979895 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:43.980026 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:43.982316 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:44.044355 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:44.044352 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 19:59:44.044622 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 19:59:44.044692 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:44.092276 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:44.092582 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:44.093832 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:44.092628 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:44.144816 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:44.144817 281472864187232 cross_device_ops.py:1152] Collective all_reduce 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group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:45.657518 281472864187232 cross_device_ops.py:1152] 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-2]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-2]: I0613 19:59:45.704861 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-3]: I0613 19:59:45.704519 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: I0613 19:59:45.704887 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-1]: I0613 19:59:45.705060 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:Training finished. [worker-3]: INFO:tensorflow:Training finished. [worker-2]: I0613 19:59:45.705158 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-0]: I0613 19:59:45.705325 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-3]: I0613 19:59:45.704833 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0613 19:59:45.705467 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-0]: I0613 19:59:45.711185 281472864187232 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-3]: I0613 19:59:45.711460 281472864187232 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-2]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-2]: I0613 19:59:45.712516 281472864187232 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-3]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-3]: I0613 19:59:47.596200 281472864187232 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-2]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-2]: I0613 19:59:47.596406 281472864187232 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-0]: I0613 19:59:47.586715 281472864187232 failure_handling.py:737] Shut down watcher for one's own termination signal I0613 19:59:51.389814 281473191408480 multi_process_runner.py:646] worker-0 exit code: 0 I0613 19:59:51.390036 281473191408480 multi_process_runner.py:646] worker-1 exit code: 0 I0613 19:59:51.390166 281473191408480 multi_process_runner.py:646] worker-2 exit code: 0 I0613 19:59:51.390285 281473191408480 multi_process_runner.py:646] worker-3 exit code: 0 I0613 19:59:51.391782 281473191408480 multi_process_runner.py:662] Joining log reading threads. I0613 19:59:51.391948 281473191408480 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_basic_run_test_inputarg_checkpoint_strategyoption_MWMSmultiworker): 11.13s I0613 19:59:51.458269 281473191408480 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_basic_run_test_inputarg_checkpoint_strategyoption_MWMSmultiworker): 11.13s [ OK ] GceFailureHandlingTest.test_basic_run_test_inputarg_checkpoint_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using MirroredStrategy with devices ('/device:CPU:0',) I0613 19:59:51.541856 281473191408480 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/device:CPU:0',) INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO I0613 19:59:51.542464 281473191408480 collective_all_reduce_strategy.py:446] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO INFO:tensorflow:Start polling for termination signal. I0613 19:59:51.570219 281473191408480 failure_handling.py:683] Start polling for termination signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I0613 19:59:51.570718 281473191408480 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. W0613 19:59:51.570976 281473191408480 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 I0613 19:59:51.571145 281473191408480 gce_failure_handler_test.py:194] Start training at 0 WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff386f2280> 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. W0613 19:59:51.843858 281473191408480 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xffff386f2280> 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 0xffff386f2310> 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. W0613 19:59:51.869853 281473191408480 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xffff386f2310> 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 I0613 19:59:51.870243 281473191408480 gce_failure_handler_test.py:192] epoch 0 finished INFO:tensorflow:epoch 1 finished I0613 19:59:52.146752 281473191408480 gce_failure_handler_test.py:192] epoch 1 finished INFO:tensorflow:epoch 2 finished I0613 19:59:52.340876 281473191408480 gce_failure_handler_test.py:192] epoch 2 finished INFO:tensorflow:epoch 3 finished I0613 19:59:52.516474 281473191408480 gce_failure_handler_test.py:192] epoch 3 finished INFO:tensorflow:epoch 4 finished I0613 19:59:52.669537 281473191408480 gce_failure_handler_test.py:192] epoch 4 finished INFO:tensorflow:Training finished. I0613 19:59:52.669984 281473191408480 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker): 1.22s I0613 19:59:52.675388 281473191408480 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker): 1.22s [ OK ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using MirroredStrategy with devices ('/device:CPU:0',) I0613 19:59:52.687073 281473191408480 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/device:CPU:0',) INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO I0613 19:59:52.687527 281473191408480 collective_all_reduce_strategy.py:446] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO INFO:tensorflow:Start polling for termination signal. I0613 19:59:52.703477 281473191408480 failure_handling.py:683] Start polling for termination signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I0613 19:59:52.704149 281473191408480 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. INFO:tensorflow:Start training at 0 I0613 19:59:52.704417 281473191408480 gce_failure_handler_test.py:194] Start training at 0 INFO:tensorflow:epoch 0 finished I0613 19:59:52.848228 281473191408480 gce_failure_handler_test.py:192] epoch 0 finished INFO:tensorflow:epoch 1 finished I0613 19:59:53.006734 281473191408480 gce_failure_handler_test.py:192] epoch 1 finished INFO:tensorflow:epoch 2 finished I0613 19:59:53.151278 281473191408480 gce_failure_handler_test.py:192] epoch 2 finished INFO:tensorflow:epoch 3 finished I0613 19:59:53.291706 281473191408480 gce_failure_handler_test.py:192] epoch 3 finished INFO:tensorflow:epoch 4 finished I0613 19:59:53.464363 281473191408480 gce_failure_handler_test.py:192] epoch 4 finished INFO:tensorflow:Training finished. I0613 19:59:53.464817 281473191408480 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker): 0.79s I0613 19:59:53.470404 281473191408480 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker): 0.79s [ OK ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 42069 I0613 19:59:53.474107 281473191408480 test_util.py:3796] Using local port 42069 INFO:tensorflow:Using local port 39703 I0613 19:59:53.474566 281473191408480 test_util.py:3796] Using local port 39703 INFO:tensorflow:Using local port 38887 I0613 19:59:53.474888 281473191408480 test_util.py:3796] Using local port 38887 INFO:tensorflow:Using local port 33045 I0613 19:59:53.475199 281473191408480 test_util.py:3796] Using local port 33045 INFO:tensorflow:Cluster starting. I0613 19:59:53.538859 281473191408480 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0613 19:59:53.575978 281472864187232 multi_process_runner.py:840] Subprocess with PID 315989 (worker, 0) is now being started. [worker-0]: I0613 19:59:53.576442 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:42069", "localhost:39703", "localhost:38887", "localhost:33045"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0613 19:59:53.584798 281472864187232 multi_process_runner.py:840] Subprocess with PID 316017 (worker, 1) is now being started. [worker-1]: I0613 19:59:53.585265 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:42069", "localhost:39703", "localhost:38887", "localhost:33045"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0613 19:59:53.619461 281472864187232 multi_process_runner.py:840] Subprocess with PID 316086 (worker, 2) is now being started. [worker-2]: I0613 19:59:53.619879 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:42069", "localhost:39703", "localhost:38887", "localhost:33045"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0613 19:59:53.628064 281472864187232 multi_process_runner.py:840] Subprocess with PID 316170 (worker, 3) is now being started. [worker-3]: I0613 19:59:53.628496 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:42069", "localhost:39703", "localhost:38887", "localhost:33045"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-3]: 2023-06-13 19:59:53.662546: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:33045 [worker-1]: 2023-06-13 19:59:53.669996: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39703 [worker-0]: 2023-06-13 19:59:53.687648: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:42069 [worker-2]: 2023-06-13 19:59:53.692110: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:38887 [worker-0]: 2023-06-13 19:59:53.746181: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 5918110870066890356 [worker-2]: 2023-06-13 19:59:53.747283: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-3]: 2023-06-13 19:59:53.747084: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 19:59:53.746801: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 8419977317638979860 [worker-0]: 2023-06-13 19:59:53.746924: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 4022655072980604337 [worker-0]: 2023-06-13 19:59:53.750948: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 17958146965198459486 [worker-1]: 2023-06-13 19:59:53.751155: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 19:59:53.756177: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-2]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I0613 19:59:53.766505 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I0613 19:59:53.777501 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I0613 19:59:53.797610 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-3]: I0613 19:59:53.814123 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: I0613 19:59:53.858287 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0613 19:59:53.859580 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0613 19:59:53.860283 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, 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]: I0613 19:59:53.872305 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0613 19:59:53.872864 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 19:59:53.873050 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, 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]: I0613 19:59:53.886945 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0613 19:59:53.887513 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0613 19:59:53.887698 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, 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:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I0613 19:59:53.906331 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0613 19:59:53.906926 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0613 19:59:53.907114 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, 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]: I0613 19:59:54.007063 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0613 19:59:54.008051 281472864187232 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/python3.8/threading.py", line 932, in _bootstrap_inner [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.8/threading.py", line 870, 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]: I0613 19:59:54.010201 281472864187232 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]: W0613 19:59:54.010562 281472864187232 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]: I0613 19:59:54.010731 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0613 19:59:54.023503 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0613 19:59:54.018078 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0613 19:59:54.024271 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0613 19:59:54.018868 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: Traceback (most recent call last): [worker-2]: I0613 19:59:54.026066 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-3]: self.run() [worker-3]: File "/usr/lib/python3.8/threading.py", line 870, 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-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0613 19:59:54.026635 281472864187232 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]: W0613 19:59:54.027025 281472864187232 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]: I0613 19:59:54.027204 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0613 19:59:54.046785 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-2]: Traceback (most recent call last): [worker-2]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0613 19:59:54.047435 281472864187232 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-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Traceback (most recent call last): [worker-2]: W0613 19:59:54.047814 281472864187232 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]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: Instructions for updating: [worker-1]: self.run() [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-2]: INFO:tensorflow:Start training at 0 [worker-1]: self._target(*self._args, **self._kwargs) [worker-2]: I0613 19:59:54.048197 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [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]: self.run() [worker-1]: if self._termination_watcher_fn(): [worker-2]: File "/usr/lib/python3.8/threading.py", line 870, 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/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-2]: self._target(*self._args, **self._kwargs) [worker-1]: elif frequent_send and not maintenance_event.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/failure_handling.py", line 692, in _poll_termination_signal [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: if self._termination_watcher_fn(): [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [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]: I0613 19:59:54.048080 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: elif frequent_send and not maintenance_event.is_set(): [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]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: W0613 19:59:54.048577 281472864187232 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]: I0613 19:59:54.048751 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:54.111174 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.125592 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.151550 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.152110 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.254617 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 19:59:54.254500 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.260451 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.265084 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.339298 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.354537 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:54.354984 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.362641 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.414049 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.414261 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:54.414660 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.427093 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.510612 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 19:59:54.511173 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.509916 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.511608 281472864187232 cross_device_ops.py:1152] 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 0xfffee05f09d0> 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 0xfffee05ee9d0> 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]: W0613 19:59:54.556390 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05f09d0> 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]: W0613 19:59:54.556513 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ee9d0> 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 0xfffee85ee9d0> 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]: W0613 19:59:54.557369 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee85ee9d0> 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]: I0613 19:59:54.564723 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.565575 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xfffee05ef9d0> 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]: W0613 19:59:54.566530 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ef9d0> 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]: I0613 19:59:54.565327 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.576219 281472864187232 cross_device_ops.py:1152] 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 0xfffee0591160> 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]: W0613 19:59:54.650730 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0591160> 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]: I0613 19:59:54.651145 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffee0592160> 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]: W0613 19:59:54.655070 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0592160> 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]: I0613 19:59:54.655586 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffee8590160> 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]: W0613 19:59:54.656800 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee8590160> 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]: I0613 19:59:54.657169 281472864187232 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]: I0613 19:59:54.659232 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffee060f160> 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]: W0613 19:59:54.661562 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee060f160> 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]: I0613 19:59:54.662074 281472864187232 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]: I0613 19:59:54.664132 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.665794 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 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19:59:54.918048 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 19:59:54.918112 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:54.917243 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.973253 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 19:59:54.973539 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.974178 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:54.976252 281472864187232 cross_device_ops.py:1152] 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-1]: INFO:tensorflow:epoch 1 finished [worker-1]: I0613 19:59:55.039123 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: I0613 19:59:55.038889 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0613 19:59:55.039134 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-3]: I0613 19:59:55.038696 281472864187232 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]: 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[worker-0]: I0613 19:59:56.249336 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-3]: I0613 19:59:56.249610 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:epoch 4 finished [worker-1]: I0613 19:59:56.249821 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: I0613 19:59:56.249694 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-2]: I0613 19:59:56.266610 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: I0613 19:59:56.250137 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0613 19:59:56.266923 281472864187232 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0613 19:59:57.580141 281473191408480 gce_failure_handler_test.py:411] restarting workers INFO:tensorflow:workers restarted I0613 19:59:57.611032 281473191408480 gce_failure_handler_test.py:415] workers restarted [worker-0]: I0613 19:59:57.615590 281472864187232 multi_process_runner.py:840] Subprocess with PID 339338 (worker, 0) is now being started. [worker-0]: I0613 19:59:57.616020 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:42069", "localhost:39703", "localhost:38887", "localhost:33045"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0613 19:59:57.622165 281472864187232 multi_process_runner.py:840] Subprocess with PID 339353 (worker, 1) is now being started. [worker-1]: I0613 19:59:57.622679 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:42069", "localhost:39703", "localhost:38887", "localhost:33045"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0613 19:59:57.631817 281472864187232 multi_process_runner.py:840] Subprocess with PID 339359 (worker, 2) is now being started. [worker-2]: I0613 19:59:57.632238 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:42069", "localhost:39703", "localhost:38887", "localhost:33045"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0613 19:59:57.640196 281472864187232 multi_process_runner.py:840] Subprocess with PID 339364 (worker, 3) is now being started. [worker-3]: I0613 19:59:57.640662 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:42069", "localhost:39703", "localhost:38887", "localhost:33045"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-06-13 19:59:57.648544: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:42069 [worker-0]: 2023-06-13 19:59:57.657420: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 12625018122277326722 [worker-0]: 2023-06-13 19:59:57.657729: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-1]: 2023-06-13 19:59:57.660094: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39703 [worker-2]: 2023-06-13 19:59:57.665850: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:38887 [worker-0]: 2023-06-13 19:59:57.672763: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 1641767845536914869 [worker-2]: 2023-06-13 19:59:57.673013: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-3]: 2023-06-13 19:59:57.675239: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:33045 [worker-0]: 2023-06-13 19:59:57.680232: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 1274884039612538509 [worker-1]: 2023-06-13 19:59:57.680509: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 19:59:57.685181: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 11997667817654109915 [worker-3]: 2023-06-13 19:59:57.685370: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] 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-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]: I0613 19:59:57.687111 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I0613 19:59:57.687108 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-3]: I0613 19:59:57.688458 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I0613 19:59:57.687463 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow: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]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-3]: I0613 19:59:57.741907 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-1]: I0613 19:59:57.741920 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: I0613 19:59:57.742212 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-0]: I0613 19:59:57.742219 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/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-0]: INFO:tensorflow:Check health not enabled. [worker-1]: I0613 19:59:57.742463 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: I0613 19:59:57.742405 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: I0613 19:59:57.742688 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, 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:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, 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:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0613 19:59:57.742584 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 19:59:57.742703 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: I0613 19:59:57.742643 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0613 19:59:57.742864 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, 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:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 19:59:57.742882 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:42069', 'localhost:39703', 'localhost:38887', 'localhost:33045']}, 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]: I0613 19:59:57.772920 281472864187232 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]: I0613 19:59:57.773574 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-2]: I0613 19:59:57.773632 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0613 19:59:57.773804 281472864187232 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]: Traceback (most recent call last): [worker-2]: I0613 19:59:57.774232 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-1]: I0613 19:59:57.774427 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-3]: I0613 19:59:57.775152 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Traceback (most recent call last): [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0613 19:59:57.773986 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: Traceback (most recent call last): [worker-2]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-1]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-3]: I0613 19:59:57.775955 281472864187232 failure_handling.py:683] Start polling for termination 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-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: Instructions for updating: [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-1]: I0613 19:59:57.774822 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: I0613 19:59:57.774621 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: Traceback (most recent call last): [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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [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-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: self.run() [worker-2]: Instructions for updating: [worker-0]: File "/usr/lib/python3.8/threading.py", line 870, in run [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]: I0613 19:59:57.776564 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: W0613 19:59:57.775260 281472864187232 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]: W0613 19:59:57.774713 281472864187232 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]: W0613 19:59:57.774943 281472864187232 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]: 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]: INFO:tensorflow:Start training at 0 [worker-0]: INFO:tensorflow:Start training at 0 [worker-3]: W0613 19:59:57.776901 281472864187232 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-1]: I0613 19:59:57.775601 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: I0613 19:59:57.774942 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: Instructions for updating: [worker-1]: self.run() [worker-2]: I0613 19:59:57.775120 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: self._target(*self._args, **self._kwargs) [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-2]: 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-3]: INFO:tensorflow:Start training at 0 [worker-1]: self._target(*self._args, **self._kwargs) [worker-2]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-0]: if self._termination_watcher_fn(): [worker-3]: I0613 19:59:57.777078 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [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-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]: self._target(*self._args, **self._kwargs) [worker-3]: self.run() [worker-1]: if self._termination_watcher_fn(): [worker-0]: elif frequent_send and not maintenance_event.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/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: File "/usr/lib/python3.8/threading.py", line 870, 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/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-2]: if self._termination_watcher_fn(): [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [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-1]: 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-2]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: AttributeError: 'str' object has no attribute '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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 19:59:57.878266 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:57.880078 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:57.880279 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:57.880627 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:57.938140 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:57.938773 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:57.938830 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:57.939578 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 19:59:57.989830 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:57.990059 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:57.990226 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:57.990729 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.040711 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.041304 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.041592 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:58.041846 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.091685 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:58.092113 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.093345 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:58.093758 281472864187232 cross_device_ops.py:1152] 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 0xfffee05ed9d0> 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 0xfffee05ed9d0> 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 0xfffee05ed9d0> 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 0xfffee05ee9d0> 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]: W0613 19:59:58.134579 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ed9d0> 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]: W0613 19:59:58.134765 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ed9d0> 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]: W0613 19:59:58.134964 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ed9d0> 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]: W0613 19:59:58.134920 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ee9d0> 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]: I0613 19:59:58.143092 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 19:59:58.143680 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 19:59:58.143767 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 19:59:58.144166 281472864187232 cross_device_ops.py:1152] 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 0xfffee060e160> 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 0xfffee060f160> 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 0xfffee0590160> 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 0xfffee0590160> 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]: W0613 19:59:58.185794 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee060e160> 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]: W0613 19:59:58.186109 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee060f160> 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]: W0613 19:59:58.186180 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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]: W0613 19:59:58.186149 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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-1]: INFO:tensorflow:epoch 0 finished [worker-3]: I0613 19:59:58.186251 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-0]: I0613 19:59:58.186587 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0613 19:59:58.186625 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-2]: I0613 19:59:58.186564 281472864187232 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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 19:59:58.194149 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 19:59:58.194386 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.195154 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.194722 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.247477 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.247994 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.249505 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 19:59:58.250171 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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, 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I0613 19:59:59.591273 281473191408480 multi_process_runner.py:646] worker-0 exit code: 0 I0613 19:59:59.591531 281473191408480 multi_process_runner.py:646] worker-1 exit code: 0 I0613 19:59:59.591662 281473191408480 multi_process_runner.py:646] worker-2 exit code: 0 I0613 19:59:59.591779 281473191408480 multi_process_runner.py:646] worker-3 exit code: 0 I0613 19:59:59.594052 281473191408480 multi_process_runner.py:662] Joining log reading threads. I0613 19:59:59.594245 281473191408480 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_checkpoint_strategyoption_MWMSmultiworker): 6.24s I0613 19:59:59.712230 281473191408480 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker): 6.24s [ OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 41195 I0613 19:59:59.714079 281473191408480 test_util.py:3796] Using local port 41195 INFO:tensorflow:Using local port 39949 I0613 19:59:59.714465 281473191408480 test_util.py:3796] Using local port 39949 INFO:tensorflow:Using local port 40799 I0613 19:59:59.714778 281473191408480 test_util.py:3796] Using local port 40799 INFO:tensorflow:Using local port 40189 I0613 19:59:59.715080 281473191408480 test_util.py:3796] Using local port 40189 INFO:tensorflow:Cluster starting. I0613 19:59:59.733556 281473191408480 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0613 19:59:59.769576 281472864187232 multi_process_runner.py:840] Subprocess with PID 344645 (worker, 0) is now being started. [worker-0]: I0613 19:59:59.770062 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41195", "localhost:39949", "localhost:40799", "localhost:40189"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0613 19:59:59.778625 281472864187232 multi_process_runner.py:840] Subprocess with PID 344648 (worker, 1) is now being started. [worker-1]: I0613 19:59:59.779059 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41195", "localhost:39949", "localhost:40799", "localhost:40189"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0613 19:59:59.784782 281472864187232 multi_process_runner.py:840] Subprocess with PID 344653 (worker, 2) is now being started. [worker-2]: I0613 19:59:59.785198 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41195", "localhost:39949", "localhost:40799", "localhost:40189"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0613 19:59:59.792160 281472864187232 multi_process_runner.py:840] Subprocess with PID 344743 (worker, 3) is now being started. [worker-3]: I0613 19:59:59.792570 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41195", "localhost:39949", "localhost:40799", "localhost:40189"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-06-13 19:59:59.807271: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:41195 [worker-0]: 2023-06-13 19:59:59.815361: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 1053943513312817898 [worker-0]: 2023-06-13 19:59:59.815705: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-1]: 2023-06-13 19:59:59.815938: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39949 [worker-2]: 2023-06-13 19:59:59.818352: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:40799 [worker-0]: 2023-06-13 19:59:59.823791: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 14827747363559373736 [worker-1]: 2023-06-13 19:59:59.824037: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 19:59:59.826549: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 10857836831303507997 [worker-2]: 2023-06-13 19:59:59.826714: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-3]: 2023-06-13 19:59:59.827492: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:40189 [worker-0]: 2023-06-13 19:59:59.831969: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 15388667250183263349 [worker-3]: 2023-06-13 19:59:59.832137: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] 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-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-2]: I0613 19:59:59.833752 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I0613 19:59:59.833767 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I0613 19:59:59.833810 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: I0613 19:59:59.833966 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-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]: I0613 19:59:59.885847 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: I0613 19:59:59.885992 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-3]: I0613 19:59:59.885834 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-1]: INFO:tensorflow:Check health not enabled. [worker-3]: INFO:tensorflow:Check health not enabled. [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-1]: I0613 19:59:59.886545 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: I0613 19:59:59.886309 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: I0613 19:59:59.886310 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: I0613 19:59:59.887387 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41195', 'localhost:39949', 'localhost:40799', 'localhost:40189']}, 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:41195', 'localhost:39949', 'localhost:40799', 'localhost:40189']}, 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:Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41195', 'localhost:39949', 'localhost:40799', 'localhost:40189']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0613 19:59:59.886726 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41195', 'localhost:39949', 'localhost:40799', 'localhost:40189']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0613 19:59:59.886480 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41195', 'localhost:39949', 'localhost:40799', 'localhost:40189']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 19:59:59.887945 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: I0613 19:59:59.886480 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41195', 'localhost:39949', 'localhost:40799', 'localhost:40189']}, 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:41195', 'localhost:39949', 'localhost:40799', 'localhost:40189']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 19:59:59.888133 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41195', 'localhost:39949', 'localhost:40799', 'localhost:40189']}, 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]: I0613 19:59:59.918646 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0613 19:59:59.919380 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: I0613 19:59:59.919538 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0613 19:59:59.919528 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0613 19:59:59.920338 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-3]: I0613 19:59:59.919992 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0613 19:59:59.920208 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-0]: Traceback (most recent call last): [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-1]: Traceback (most recent call last): [worker-2]: I0613 19:59:59.921109 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-0]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-1]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: Traceback (most recent call last): [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Traceback (most recent call last): [worker-3]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-0]: I0613 19:59:59.919991 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-3]: INFO:tensorflow: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]: I0613 19:59:59.920598 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: Instructions for updating: [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0613 19:59:59.920383 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: I0613 19:59:59.921622 281472864187232 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-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Instructions for updating: [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]: W0613 19:59:59.920298 281472864187232 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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: Instructions for updating: [worker-3]: Instructions for updating: [worker-0]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: W0613 19:59:59.920980 281472864187232 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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0613 19:59:59.920745 281472864187232 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-2]: W0613 19:59:59.921961 281472864187232 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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: INFO:tensorflow:Start training at 0 [worker-3]: Instructions for updating: [worker-1]: INFO:tensorflow:Start training at 0 [worker-2]: Instructions for updating: [worker-0]: I0613 19:59:59.920468 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: I0613 19:59:59.921263 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: self.run() [worker-3]: INFO:tensorflow:Start training at 0 [worker-2]: INFO:tensorflow:Start training at 0 [worker-1]: self.run() [worker-0]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-3]: I0613 19:59:59.921020 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: I0613 19:59:59.922133 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-0]: self._target(*self._args, **self._kwargs) [worker-3]: self.run() [worker-2]: self.run() [worker-1]: 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-3]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-2]: File "/usr/lib/python3.8/threading.py", line 870, 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-0]: if self._termination_watcher_fn(): [worker-2]: self._target(*self._args, **self._kwargs) [worker-1]: 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-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-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]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: self._target(*self._args, **self._kwargs) [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-2]: if self._termination_watcher_fn(): [worker-0]: 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-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]: if self._termination_watcher_fn(): [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-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: 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-3]: I0613 20:00:00.019332 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.021194 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.022727 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.025278 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.084581 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.085113 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:00:00.085305 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.087112 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.138329 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:00:00.138317 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:00:00.139072 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:00:00.139252 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.193505 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:00:00.193513 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.194461 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.197205 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:00:00.248888 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:00:00.248892 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:00:00.249199 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.249686 281472864187232 cross_device_ops.py:1152] 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 0xfffee05ee9d0> 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 0xfffee05ec9d0> 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 0xfffee05ed9d0> 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 0xfffee05ed9d0> 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]: W0613 20:00:00.295589 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ee9d0> 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]: W0613 20:00:00.295807 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ec9d0> 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]: W0613 20:00:00.295913 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ed9d0> 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]: W0613 20:00:00.296000 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ed9d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:00:00.304466 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.304787 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:00:00.304970 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.305512 281472864187232 cross_device_ops.py:1152] 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 0xfffee0590160> 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 0xfffee0590160> 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 0xfffee0590160> 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 0xfffee0590160> 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]: W0613 20:00:00.348041 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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]: W0613 20:00:00.348358 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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]: W0613 20:00:00.348161 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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]: W0613 20:00:00.348433 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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]: INFO:tensorflow:epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-3]: I0613 20:00:00.348531 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-0]: INFO:tensorflow:epoch 0 finished [worker-1]: I0613 20:00:00.348824 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0613 20:00:00.348903 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-0]: I0613 20:00:00.348573 281472864187232 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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:00:00.356432 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:00:00.356539 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.357336 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:00:00.357614 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.469672 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.476541 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.490291 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.493454 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:00:00.571244 281472864187232 cross_device_ops.py:1152] 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[worker-0]: INFO:tensorflow:Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-3]: I0613 20:00:01.924104 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0613 20:00:01.924103 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0613 20:00:01.924096 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0613 20:00:01.924273 281472864187232 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0613 20:00:03.771601 281473191408480 gce_failure_handler_test.py:411] restarting workers INFO:tensorflow:workers restarted I0613 20:00:03.803351 281473191408480 gce_failure_handler_test.py:415] workers restarted [worker-1]: I0613 20:00:03.813222 281472864187232 multi_process_runner.py:840] Subprocess with PID 358795 (worker, 1) is now being started. [worker-1]: I0613 20:00:03.813714 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41195", "localhost:39949", "localhost:40799", "localhost:40189"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-0]: I0613 20:00:03.816007 281472864187232 multi_process_runner.py:840] Subprocess with PID 358736 (worker, 0) is now being started. [worker-0]: I0613 20:00:03.816439 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41195", "localhost:39949", "localhost:40799", "localhost:40189"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-2]: I0613 20:00:03.822195 281472864187232 multi_process_runner.py:840] Subprocess with PID 358802 (worker, 2) is now being started. [worker-2]: I0613 20:00:03.822602 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41195", "localhost:39949", "localhost:40799", "localhost:40189"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0613 20:00:03.829242 281472864187232 multi_process_runner.py:840] Subprocess with PID 358806 (worker, 3) is now being started. [worker-3]: I0613 20:00:03.829744 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41195", "localhost:39949", "localhost:40799", "localhost:40189"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-1]: 2023-06-13 20:00:03.849256: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39949 [worker-3]: E0613 20:00:03.852242820 358806 server_chttp2.cc:40] {"created":"@1686686403.852126733","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":"@1686686403.852121392","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":"@1686686403.852093745","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":"@1686686403.852083033","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":"@1686686403.852120037","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":"@1686686403.852113432","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-3]: 2023-06-13 20:00:03.852369: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:608] UNKNOWN: Could not start gRPC server [worker-3]: 2023-06-13 20:00:03.852746: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:703] Could not start gRPC server [worker-0]: 2023-06-13 20:00:03.853084: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:41195 [worker-2]: 2023-06-13 20:00:03.855712: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:40799 [worker-0]: 2023-06-13 20:00:03.857510: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 17585510129773606454 [worker-1]: 2023-06-13 20:00:03.857707: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:00:03.937317: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 16841747020846198881 [worker-2]: 2023-06-13 20:00:03.938248: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:00:03.937435: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 15890518327621585646 [worker-0]: 2023-06-13 20:00:03.938917: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-3]: Process _Process-21: [worker-3]: Traceback (most recent call last): [worker-3]: File "/usr/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap [worker-3]: self.run() [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/multi_process_runner.py", line 755, in _run_with_setenv [worker-3]: return self._actual_run() [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/multi_process_lib.py", line 54, in _run_with_absl [worker-3]: app.run(lambda _: self._run_impl()) [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/absl_py/absl/app.py", line 312, in run [worker-3]: _run_main(main, args) [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/absl_py/absl/app.py", line 258, in _run_main [worker-3]: sys.exit(main(argv)) [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/multi_process_lib.py", line 54, in [worker-3]: app.run(lambda _: self._run_impl()) [worker-3]: File "/usr/lib/python3.8/multiprocessing/process.py", line 108, 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/multi_process_runner.py", line 866, in __call__ [worker-3]: six.reraise(*info.exc_info) [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/six_archive/six.py", line 719, in reraise [worker-3]: raise value [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/multi_process_runner.py", line 1060, in _run_contained [worker-3]: return_value = fn(*args, **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/gce_failure_handler_test.py", line 134, in worker_fn [worker-3]: strategy = collective_all_reduce_strategy.CollectiveAllReduceStrategy() [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/collective_all_reduce_strategy.py", line 186, in __init__ [worker-3]: CollectiveAllReduceExtended( [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/collective_all_reduce_strategy.py", line 339, in __init__ [worker-3]: self._initialize_strategy(self._cluster_resolver, devices=devices) [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/collective_all_reduce_strategy.py", line 358, in _initialize_strategy [worker-3]: self._initialize_multi_worker(cluster_resolver) [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/collective_all_reduce_strategy.py", line 530, in _initialize_multi_worker [worker-3]: context.context().ensure_initialized() [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/eager/context.py", line 610, in ensure_initialized [worker-3]: pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str) [worker-3]: tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server INFO:tensorflow:Termination notice available. I0613 20:00:08.626229 281463291310560 gce_failure_handler_test.py:142] Termination notice available. INFO:tensorflow:Member single_worker has received termination notice. I0613 20:00:08.626543 281463291310560 failure_handling.py:701] Member single_worker has received termination notice. 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/python3.8/threading.py", line 1008, in join raise RuntimeError("cannot join current thread") RuntimeError: cannot join current thread INFO:tensorflow:Termination notice available. I0613 20:00:19.796262 281463282856416 gce_failure_handler_test.py:142] Termination notice available. INFO:tensorflow:Member single_worker has received termination notice. I0613 20:00:19.796731 281463282856416 failure_handling.py:701] Member single_worker has received termination notice. 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/python3.8/threading.py", line 1008, in join raise RuntimeError("cannot join current thread") RuntimeError: cannot join current thread E0613 20:04:13.803985 281473191408480 multi_process_runner.py:626] Timeout when joining for child processes. Terminating... I0613 20:04:13.804641 281473191408480 multi_process_runner.py:721] worker-0 terminated with signal . I0613 20:04:13.804912 281473191408480 multi_process_runner.py:721] worker-1 terminated with signal . I0613 20:04:13.805119 281473191408480 multi_process_runner.py:721] worker-2 terminated with signal . I0613 20:04:13.805341 281473191408480 multi_process_runner.py:715] worker-3 has already exited. Not terminating. [worker-0]: 2023-06-13 20:04:13.916508: W tensorflow/tsl/distributed_runtime/preemption/preemption_notifier.cc:89] SIGTERM caught at 2023-06-13T20:04:13.916406779+00:00 [worker-1]: 2023-06-13 20:04:14.677836: W tensorflow/tsl/distributed_runtime/preemption/preemption_notifier.cc:89] SIGTERM caught at 2023-06-13T20:04:14.6777402+00:00 [worker-1]: 2023-06-13 20:04:14.679115: I tensorflow/core/common_runtime/eager/context_distributed_manager.cc:744] Preemption not exported to coordination service: ALREADY_EXISTS: Config key TF_DEFAULT_PREEMPTION_NOTICE_KEY already exists. [worker-1]: Additional GRPC error information from remote target /job:worker/replica:0/task:0 while calling /tensorflow.CoordinationService/InsertKeyValue: [worker-1]: :{"created":"@1686686654.678932424","description":"Error received from peer ipv6:[::1]:41195","file":"external/com_github_grpc_grpc/src/core/lib/surface/call.cc","file_line":1056,"grpc_message":"Config key TF_DEFAULT_PREEMPTION_NOTICE_KEY already exists.","grpc_status":6} [type.googleapis.com/tensorflow.CoordinationServiceError=''] [worker-2]: 2023-06-13 20:04:14.776221: W tensorflow/tsl/distributed_runtime/preemption/preemption_notifier.cc:89] SIGTERM caught at 2023-06-13T20:04:14.776142285+00:00 [worker-2]: 2023-06-13 20:04:14.777162: I tensorflow/core/common_runtime/eager/context_distributed_manager.cc:744] Preemption not exported to coordination service: ALREADY_EXISTS: Config key TF_DEFAULT_PREEMPTION_NOTICE_KEY already exists. [worker-2]: Additional GRPC error information from remote target /job:worker/replica:0/task:0 while calling /tensorflow.CoordinationService/InsertKeyValue: [worker-2]: :{"created":"@1686686654.776963391","description":"Error received from peer ipv6:[::1]:41195","file":"external/com_github_grpc_grpc/src/core/lib/surface/call.cc","file_line":1056,"grpc_message":"Config key TF_DEFAULT_PREEMPTION_NOTICE_KEY already exists.","grpc_status":6} [type.googleapis.com/tensorflow.CoordinationServiceError=''] E0613 20:04:43.806358 281473191408480 multi_process_runner.py:632] Timeout when waiting for child processes to print stacktrace. Sending SIGKILL... I0613 20:04:43.807778 281473191408480 multi_process_runner.py:721] worker-0 terminated with signal . I0613 20:04:43.808725 281473191408480 multi_process_runner.py:721] worker-1 terminated with signal . I0613 20:04:43.809675 281473191408480 multi_process_runner.py:721] worker-2 terminated with signal . I0613 20:04:43.809828 281473191408480 multi_process_runner.py:715] worker-3 has already exited. Not terminating. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker): 284.48s I0613 20:04:44.194233 281473191408480 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker): 284.48s [ FAILED ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 43267 I0613 20:04:44.200617 281473191408480 test_util.py:3796] Using local port 43267 INFO:tensorflow:Using local port 46837 I0613 20:04:44.201131 281473191408480 test_util.py:3796] Using local port 46837 INFO:tensorflow:Using local port 44119 I0613 20:04:44.201684 281473191408480 test_util.py:3796] Using local port 44119 INFO:tensorflow:Using local port 46813 I0613 20:04:44.201996 281473191408480 test_util.py:3796] Using local port 46813 INFO:tensorflow:Cluster starting. I0613 20:04:44.237897 281473191408480 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0613 20:04:44.288426 281472864187232 multi_process_runner.py:840] Subprocess with PID 1014378 (worker, 0) is now being started. [worker-0]: I0613 20:04:44.288861 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43267", "localhost:46837", "localhost:44119", "localhost:46813"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-0]: 2023-06-13 20:04:44.340338: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:43267 [worker-0]: 2023-06-13 20:04:44.349874: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 9355048310511293026 [worker-0]: 2023-06-13 20:04:44.350686: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-2]: I0613 20:04:44.378643 281472864187232 multi_process_runner.py:840] Subprocess with PID 1014386 (worker, 2) is now being started. [worker-1]: I0613 20:04:44.379581 281472864187232 multi_process_runner.py:840] Subprocess with PID 1014381 (worker, 1) is now being started. [worker-2]: I0613 20:04:44.379086 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43267", "localhost:46837", "localhost:44119", "localhost:46813"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-1]: I0613 20:04:44.379951 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43267", "localhost:46837", "localhost:44119", "localhost:46813"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-3]: I0613 20:04:44.399970 281472864187232 multi_process_runner.py:840] Subprocess with PID 1014661 (worker, 3) is now being started. [worker-3]: I0613 20:04:44.400399 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43267", "localhost:46837", "localhost:44119", "localhost:46813"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-3]: 2023-06-13 20:04:44.445931: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:46813 [worker-2]: 2023-06-13 20:04:44.473614: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:44119 [worker-1]: 2023-06-13 20:04:44.484773: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:46837 [worker-0]: 2023-06-13 20:04:44.486596: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 5137926014923888703 [worker-2]: 2023-06-13 20:04:44.487140: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:04:44.487851: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 15686110665249287700 [worker-1]: 2023-06-13 20:04:44.488011: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:04:44.557472: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 1862773192585834723 [worker-3]: 2023-06-13 20:04:44.557841: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I0613 20:04:44.560923 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I0613 20:04:44.560919 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I0613 20:04:44.577162 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-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-0]: I0613 20:04:44.627968 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0613 20:04:44.628579 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 20:04:44.628776 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, 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-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]: I0613 20:04:44.632805 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: I0613 20:04:44.626659 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-3]: I0613 20:04:44.634248 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-2]: INFO:tensorflow:Check health not enabled. [worker-1]: INFO:tensorflow:Check health not enabled. [worker-2]: I0613 20:04:44.627291 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: I0613 20:04:44.633292 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0613 20:04:44.627505 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0613 20:04:44.633476 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, 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]: I0613 20:04:44.698170 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0613 20:04:44.698774 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0613 20:04:44.698966 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, 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:Start watcher for peer's signal. [worker-1]: I0613 20:04:44.769534 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0613 20:04:44.770758 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-1]: Traceback (most recent call last): [worker-1]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-1]: self.run() [worker-1]: File "/usr/lib/python3.8/threading.py", line 870, 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]: I0613 20:04:44.773121 281472864187232 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]: W0613 20:04:44.773480 281472864187232 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]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: Instructions for updating: [worker-3]: I0613 20:04:44.776548 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0613 20:04:44.777780 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-3]: Traceback (most recent call last): [worker-3]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0613 20:04:44.788166 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: self.run() [worker-3]: File "/usr/lib/python3.8/threading.py", line 870, 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-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0613 20:04:44.790907 281472864187232 failure_handling.py:683] Start polling for 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-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0613 20:04:44.789761 281472864187232 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]: W0613 20:04:44.790268 281472864187232 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]: I0613 20:04:44.790448 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0613 20:04:44.795302 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0613 20:04:44.796404 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: INFO:tensorflow:Start training at 0 [worker-1]: I0613 20:04:44.773645 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [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/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: self.run() [worker-2]: I0613 20:04:44.806525 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: File "/usr/lib/python3.8/threading.py", line 870, in run [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]: self._target(*self._args, **self._kwargs) [worker-2]: Instructions for updating: [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-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: W0613 20:04:44.807117 281472864187232 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:PreemptionCheckpointHandler initialized or restored. [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]: I0613 20:04:44.807592 281472864187232 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]: W0613 20:04:44.808676 281472864187232 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]: I0613 20:04:44.808851 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [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]: I0613 20:04:44.807304 281472864187232 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]: I0613 20:04:44.909777 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:44.926681 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: self.run() [worker-2]: File "/usr/lib/python3.8/threading.py", line 870, 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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:44.969477 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:44.970631 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.034204 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:04:45.036920 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.036013 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.030798 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.105094 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.105803 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.102455 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.120172 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.177189 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.174620 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:45.174692 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.176600 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.235862 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.236204 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.242183 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.243951 281472864187232 cross_device_ops.py:1152] 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 0xfffee05ec9d0> 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 0xfffee85ee9d0> 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 0xfffea04fd9d0> 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 0xfffee05ec9d0> 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]: W0613 20:04:45.287792 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffea04fd9d0> 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]: W0613 20:04:45.288083 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee85ee9d0> 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]: W0613 20:04:45.289416 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ec9d0> 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]: W0613 20:04:45.287592 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ec9d0> 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]: I0613 20:04:45.297122 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:45.296486 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.299877 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.300139 281472864187232 cross_device_ops.py:1152] 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 0xfffea04a0160> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffee0591160> 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 0xfffee0590160> 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 0xfffee860d160> 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]: W0613 20:04:45.352690 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffea04a0160> 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]: W0613 20:04:45.353133 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0591160> 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]: W0613 20:04:45.353146 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee860d160> 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]: W0613 20:04:45.353065 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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-2]: INFO:tensorflow:epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-3]: INFO:tensorflow:epoch 0 finished [worker-0]: I0613 20:04:45.353082 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: I0613 20:04:45.353587 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0613 20:04:45.353629 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0613 20:04:45.353573 281472864187232 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]: I0613 20:04:45.363504 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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-1]: I0613 20:04:45.380991 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:04:45.380774 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.380743 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.433036 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.433932 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.442796 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:45.436270 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.497058 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.502743 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.503118 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.509831 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.564126 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:45.564563 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.566178 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.569529 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.619835 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.624001 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.623348 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.627357 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.677531 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.680127 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.678199 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:45.683948 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:epoch 1 finished [worker-3]: INFO:tensorflow:epoch 1 finished [worker-0]: INFO:tensorflow:epoch 1 finished [worker-2]: I0613 20:04:45.728207 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-3]: I0613 20:04:45.727537 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: I0613 20:04:45.727590 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-1]: I0613 20:04:45.727974 281472864187232 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]: I0613 20:04:45.736358 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:04:46.535660 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.532280 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.532125 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.589438 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.590249 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.590294 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.607391 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.799873 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.800286 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.802522 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.802642 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.977189 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:46.976815 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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-2]: I0613 20:04:47.001358 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:47.000887 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:47.066915 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:47.066914 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:47.071037 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:47.081500 281472864187232 cross_device_ops.py:1152] 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-3]: I0613 20:04:47.128942 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-1]: I0613 20:04:47.129562 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: I0613 20:04:47.129377 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-2]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-2]: I0613 20:04:47.129698 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: I0613 20:04:47.129581 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-1]: I0613 20:04:47.129951 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0613 20:04:47.130089 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-0]: I0613 20:04:47.130059 281472864187232 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0613 20:04:48.337854 281473191408480 gce_failure_handler_test.py:411] restarting workers INFO:tensorflow:workers restarted I0613 20:04:48.387718 281473191408480 gce_failure_handler_test.py:415] workers restarted [worker-1]: I0613 20:04:48.393844 281472864187232 multi_process_runner.py:840] Subprocess with PID 1015900 (worker, 1) is now being started. [worker-1]: I0613 20:04:48.394266 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43267", "localhost:46837", "localhost:44119", "localhost:46813"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-1]: 2023-06-13 20:04:48.459330: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:46837 [worker-0]: I0613 20:04:48.507760 281472864187232 multi_process_runner.py:840] Subprocess with PID 1015897 (worker, 0) is now being started. [worker-0]: I0613 20:04:48.508240 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43267", "localhost:46837", "localhost:44119", "localhost:46813"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-3]: I0613 20:04:48.532652 281472864187232 multi_process_runner.py:840] Subprocess with PID 1015910 (worker, 3) is now being started. [worker-2]: I0613 20:04:48.537866 281472864187232 multi_process_runner.py:840] Subprocess with PID 1015905 (worker, 2) is now being started. [worker-3]: I0613 20:04:48.533096 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43267", "localhost:46837", "localhost:44119", "localhost:46813"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: I0613 20:04:48.538410 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43267", "localhost:46837", "localhost:44119", "localhost:46813"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: 2023-06-13 20:04:48.584781: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:46813 [worker-0]: 2023-06-13 20:04:48.583096: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:43267 [worker-0]: 2023-06-13 20:04:48.625105: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 7446740368031853612 [worker-0]: 2023-06-13 20:04:48.629485: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 973278837736048360 [worker-0]: 2023-06-13 20:04:48.630778: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-3]: 2023-06-13 20:04:48.630100: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-2]: 2023-06-13 20:04:48.642369: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:44119 [worker-0]: 2023-06-13 20:04:48.655968: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 8209468757871868559 [worker-2]: 2023-06-13 20:04:48.656317: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:04:49.462877: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 8490949766591505529 [worker-1]: 2023-06-13 20:04:49.463233: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] 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-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]: I0613 20:04:49.466446 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I0613 20:04:49.472207 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I0613 20:04:49.467596 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: I0613 20:04:49.465495 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I0613 20:04:49.529066 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0613 20:04:49.529654 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0613 20:04:49.529850 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, 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]: I0613 20:04:49.553752 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0613 20:04:49.554265 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0613 20:04:49.554460 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, 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]: I0613 20:04:49.578111 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0613 20:04:49.578707 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0613 20:04:49.578907 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, 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]: I0613 20:04:49.581130 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0613 20:04:49.581633 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 20:04:49.581818 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43267', 'localhost:46837', 'localhost:44119', 'localhost:46813']}, 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]: I0613 20:04:49.673085 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0613 20:04:49.675920 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0613 20:04:49.677836 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-0]: Traceback (most recent call last): [worker-0]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.8/threading.py", line 870, 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]: I0613 20:04:49.679761 281472864187232 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]: W0613 20:04:49.680226 281472864187232 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]: I0613 20:04:49.680415 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0613 20:04:49.691909 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0613 20:04:49.696903 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0613 20:04:49.705380 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0613 20:04:49.706907 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0613 20:04:49.713936 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-2]: Traceback (most recent call last): [worker-2]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: self.run() [worker-2]: File "/usr/lib/python3.8/threading.py", line 870, 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]: I0613 20:04:49.717922 281472864187232 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]: W0613 20:04:49.718320 281472864187232 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]: I0613 20:04:49.718494 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-3]: Traceback (most recent call last): [worker-3]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0613 20:04:49.726425 281472864187232 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-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-1]: Traceback (most recent call last): [worker-1]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-3]: Instructions for updating: [worker-1]: self.run() [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-3]: W0613 20:04:49.726854 281472864187232 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]: I0613 20:04:49.727022 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [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]: self.run() [worker-3]: File "/usr/lib/python3.8/threading.py", line 870, 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:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0613 20:04:49.727939 281472864187232 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]: W0613 20:04:49.728287 281472864187232 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]: I0613 20:04:49.728451 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:04:49.859366 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:49.885406 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:49.925645 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:49.988941 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.070483 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.080165 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.090113 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.091428 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.210449 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.220136 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.230114 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:04:50.241327 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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-0]: I0613 20:04:50.411088 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.393155 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:04:50.400372 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:50.417422 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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-1]: I0613 20:04:50.522982 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:04:50.530155 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.541228 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.567581 281472864187232 cross_device_ops.py:1152] 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 0xfffea46f09d0> 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]: W0613 20:04:50.651843 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffea46f09d0> 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 0xfffee85ec9d0> 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]: W0613 20:04:50.663587 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee85ec9d0> 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 0xfffecc2709d0> 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]: W0613 20:04:50.666734 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffecc2709d0> 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 0xfffed02ef9d0> 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]: W0613 20:04:50.657977 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffed02ef9d0> 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]: I0613 20:04:50.674806 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.680963 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:04:50.680684 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.690528 281472864187232 cross_device_ops.py:1152] 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 0xfffea4693160> 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]: W0613 20:04:50.780020 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffea4693160> 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]: I0613 20:04:50.780510 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffecc212160> 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]: W0613 20:04:50.786598 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffecc212160> 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]: I0613 20:04:50.787026 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffee8590160> 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 0xfffed0290160> 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]: W0613 20:04:50.792073 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee8590160> 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]: W0613 20:04:50.796694 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffed0290160> 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]: INFO:tensorflow:epoch 0 finished [worker-3]: I0613 20:04:50.792682 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0613 20:04:50.797132 281472864187232 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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:50.821102 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:04:50.800853 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:04:50.820601 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.847335 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.969840 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.971033 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:50.980664 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.037290 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.125972 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.141198 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.140442 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:04:51.140431 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.226294 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.240542 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.251567 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.286057 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.368057 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.401429 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.417435 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.417453 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.518132 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.551118 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.581500 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.597412 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 1 finished [worker-3]: INFO:tensorflow:epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-3]: I0613 20:04:51.659772 281472864187232 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-3]: I0613 20:04:51.670455 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:epoch 1 finished [worker-1]: I0613 20:04:51.673696 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0613 20:04:51.677567 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: I0613 20:04:51.667224 281472864187232 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]: I0613 20:04:51.690665 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.701142 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.720629 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.841254 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.851061 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.860590 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.871081 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.971555 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.981000 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.980622 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:51.990902 281472864187232 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all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:53.900760 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:53.900391 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:54.002619 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:04:54.010304 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:54.023573 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:54.041582 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:54.132087 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:54.150582 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:54.186768 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:54.187142 281472864187232 cross_device_ops.py:1152] 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-3]: I0613 20:04:54.240049 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-3]: I0613 20:04:54.240447 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:epoch 4 finished [worker-0]: I0613 20:04:54.242727 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:Training finished. [worker-0]: I0613 20:04:54.243075 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-2]: INFO:tensorflow:epoch 4 finished [worker-2]: I0613 20:04:54.245058 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0613 20:04:54.245337 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:epoch 4 finished [worker-1]: I0613 20:04:54.249594 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0613 20:04:54.249908 281472864187232 gce_failure_handler_test.py:244] Training finished. I0613 20:04:54.376845 281473191408480 multi_process_runner.py:646] worker-0 exit code: 0 I0613 20:04:54.377145 281473191408480 multi_process_runner.py:646] worker-1 exit code: 0 I0613 20:04:54.377280 281473191408480 multi_process_runner.py:646] worker-2 exit code: 0 I0613 20:04:54.377398 281473191408480 multi_process_runner.py:646] worker-3 exit code: 0 I0613 20:04:54.380123 281473191408480 multi_process_runner.py:662] Joining log reading threads. I0613 20:04:54.380343 281473191408480 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_checkpoint_strategyoption_MWMSmultiworker): 10.32s I0613 20:04:54.514986 281473191408480 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker): 10.32s [ OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 33817 I0613 20:04:54.516796 281473191408480 test_util.py:3796] Using local port 33817 INFO:tensorflow:Using local port 46781 I0613 20:04:54.517211 281473191408480 test_util.py:3796] Using local port 46781 INFO:tensorflow:Using local port 36725 I0613 20:04:54.517538 281473191408480 test_util.py:3796] Using local port 36725 INFO:tensorflow:Using local port 41467 I0613 20:04:54.517850 281473191408480 test_util.py:3796] Using local port 41467 INFO:tensorflow:Cluster starting. I0613 20:04:54.546152 281473191408480 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0613 20:04:54.609346 281472864187232 multi_process_runner.py:840] Subprocess with PID 1017470 (worker, 0) is now being started. [worker-0]: I0613 20:04:54.609778 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:33817", "localhost:46781", "localhost:36725", "localhost:41467"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0613 20:04:54.630524 281472864187232 multi_process_runner.py:840] Subprocess with PID 1017473 (worker, 1) is now being started. [worker-2]: I0613 20:04:54.648143 281472864187232 multi_process_runner.py:840] Subprocess with PID 1017475 (worker, 2) is now being started. [worker-1]: I0613 20:04:54.631026 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:33817", "localhost:46781", "localhost:36725", "localhost:41467"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-1]: 2023-06-13 20:04:54.733739: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:46781 [worker-2]: I0613 20:04:54.648563 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:33817", "localhost:46781", "localhost:36725", "localhost:41467"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0613 20:04:54.787750 281472864187232 multi_process_runner.py:840] Subprocess with PID 1017487 (worker, 3) is now being started. [worker-3]: I0613 20:04:54.788244 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:33817", "localhost:46781", "localhost:36725", "localhost:41467"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-3]: 2023-06-13 20:04:54.895345: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:41467 [worker-0]: 2023-06-13 20:04:55.002111: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:33817 [worker-2]: 2023-06-13 20:04:55.019082: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:36725 [worker-0]: 2023-06-13 20:04:55.029888: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 10020557491022581271 [worker-2]: 2023-06-13 20:04:55.030968: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:04:55.044991: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 3557123345695150343 [worker-0]: 2023-06-13 20:04:55.047141: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 983086051699002244 [worker-0]: 2023-06-13 20:04:55.048072: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-3]: 2023-06-13 20:04:55.049704: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:04:55.737648: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 14793467326468013275 [worker-1]: 2023-06-13 20:04:55.737963: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] 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-3]: I0613 20:04:55.740666 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I0613 20:04:55.741011 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I0613 20:04:55.740020 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I0613 20:04:55.757041 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I0613 20:04:55.802140 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0613 20:04:55.802680 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0613 20:04:55.802881 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, 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]: I0613 20:04:55.808255 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0613 20:04:55.808632 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0613 20:04:55.809052 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 20:04:55.809226 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0613 20:04:55.808734 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0613 20:04:55.808918 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, 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]: I0613 20:04:55.816831 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0613 20:04:55.817348 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0613 20:04:55.817543 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, 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]: I0613 20:04:55.852917 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0613 20:04:55.854481 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0613 20:04:55.855237 281472864187232 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/python3.8/threading.py", line 932, in _bootstrap_inner [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0613 20:04:55.856206 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.8/threading.py", line 870, 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]: 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]: W0613 20:04:55.857357 281472864187232 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]: I0613 20:04:55.858189 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [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-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0613 20:04:55.860151 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0613 20:04:55.861669 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0613 20:04:55.862917 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-1]: Traceback (most recent call last): [worker-3]: I0613 20:04:55.864472 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0613 20:04:55.866560 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0613 20:04:55.863982 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-2]: Traceback (most recent call last): [worker-3]: Traceback (most recent call last): [worker-3]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-3]: self.run() [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]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-1]: Instructions for updating: [worker-3]: self._target(*self._args, **self._kwargs) [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [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]: W0613 20:04:55.864325 281472864187232 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]: if self._termination_watcher_fn(): [worker-1]: Instructions for updating: [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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: INFO:tensorflow:Start training at 0 [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: I0613 20:04:55.864492 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: self.run() [worker-3]: I0613 20:04:55.868786 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: File "/usr/lib/python3.8/threading.py", line 870, in run [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]: self._target(*self._args, **self._kwargs) [worker-3]: Instructions for updating: [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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: if self._termination_watcher_fn(): [worker-3]: W0613 20:04:55.869263 281472864187232 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]: 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]: Instructions for updating: [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: INFO:tensorflow:Start training at 0 [worker-3]: I0613 20:04:55.869447 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: self.run() [worker-2]: File "/usr/lib/python3.8/threading.py", line 870, 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]: I0613 20:04:55.875966 281472864187232 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]: W0613 20:04:55.876407 281472864187232 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]: I0613 20:04:55.876579 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:04:55.972370 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:55.986057 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:04:55.979760 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.013988 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.073411 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.074023 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.075348 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.087333 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.143798 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.144002 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.146572 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.144164 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.204273 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.206365 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.208594 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.210633 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.265818 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.267679 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.268042 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.271123 281472864187232 cross_device_ops.py:1152] 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 0xfffee456d9d0> 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]: W0613 20:04:56.321654 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee456d9d0> 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 0xfffee85ed9d0> 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 0xfffe6866e9d0> 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]: W0613 20:04:56.321987 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffe6866e9d0> 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]: W0613 20:04:56.321830 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee85ed9d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:56.331734 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:04:56.331995 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xfffee85ed9d0> 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]: W0613 20:04:56.322029 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee85ed9d0> 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]: I0613 20:04:56.329907 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.338245 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffee860e160> 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 0xfffee8590160> 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]: W0613 20:04:56.386932 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee860e160> 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]: W0613 20:04:56.387127 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee8590160> 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-0]: INFO:tensorflow:epoch 0 finished [worker-2]: I0613 20:04:56.387294 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-0]: I0613 20:04:56.387704 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffee458e160> 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 0xfffe6868f160> 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]: W0613 20:04:56.392136 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffe6868f160> 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]: I0613 20:04:56.392605 281472864187232 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]: I0613 20:04:56.395202 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: W0613 20:04:56.386660 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee458e160> 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]: I0613 20:04:56.387209 281472864187232 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]: I0613 20:04:56.396373 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.401896 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.402158 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.463155 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.458733 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.464515 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:04:56.463263 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.523262 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.524672 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.523991 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.527407 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.579463 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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-2]: I0613 20:04:56.582915 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.580176 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:04:56.583939 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.643917 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.646089 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.644925 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:56.640931 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:04:56.704334 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:04:56.704242 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.705504 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:04:56.708802 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-1]: I0613 20:04:56.754966 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: I0613 20:04:56.754983 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-3]: INFO:tensorflow:epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-3]: I0613 20:04:56.754605 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0613 20:04:56.754890 281472864187232 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-1]: I0613 20:04:56.763523 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.771164 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.763959 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.781051 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.834995 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.836317 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:04:56.836433 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.847344 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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-2]: I0613 20:04:56.903748 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.905398 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.903849 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:04:56.905452 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:56.959323 281472864187232 cross_device_ops.py:1152] 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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:04:57.015280 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:57.015307 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 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tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:04:58.079703 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-3]: INFO:tensorflow:epoch 4 finished [worker-0]: I0613 20:04:58.130588 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0613 20:04:58.131394 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: I0613 20:04:58.130619 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: I0613 20:04:58.130227 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-3]: INFO:tensorflow:Training finished. [worker-1]: I0613 20:04:58.131028 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-3]: I0613 20:04:58.130690 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0613 20:04:58.131666 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-0]: I0613 20:04:58.131031 281472864187232 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0613 20:04:59.617729 281473191408480 gce_failure_handler_test.py:411] restarting workers INFO:tensorflow:workers restarted I0613 20:04:59.648314 281473191408480 gce_failure_handler_test.py:415] workers restarted [worker-0]: I0613 20:04:59.656498 281472864187232 multi_process_runner.py:840] Subprocess with PID 1018993 (worker, 0) is now being started. [worker-0]: I0613 20:04:59.656959 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:33817", "localhost:46781", "localhost:36725", "localhost:41467"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0613 20:04:59.661074 281472864187232 multi_process_runner.py:840] Subprocess with PID 1018996 (worker, 1) is now being started. [worker-2]: I0613 20:04:59.668360 281472864187232 multi_process_runner.py:840] Subprocess with PID 1018998 (worker, 2) is now being started. [worker-2]: I0613 20:04:59.668760 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:33817", "localhost:46781", "localhost:36725", "localhost:41467"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-2]: 2023-06-13 20:04:59.711397: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:36725 [worker-1]: I0613 20:04:59.661488 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:33817", "localhost:46781", "localhost:36725", "localhost:41467"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-1]: 2023-06-13 20:04:59.698625: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:46781 [worker-3]: I0613 20:04:59.716466 281472864187232 multi_process_runner.py:840] Subprocess with PID 1019004 (worker, 3) is now being started. [worker-3]: I0613 20:04:59.716887 281472864187232 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:33817", "localhost:46781", "localhost:36725", "localhost:41467"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-06-13 20:04:59.744226: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:33817 [worker-3]: 2023-06-13 20:04:59.749103: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:41467 [worker-0]: 2023-06-13 20:04:59.749905: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 9119746373459536504 [worker-2]: 2023-06-13 20:04:59.750267: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:04:59.759800: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 6267925399006343507 [worker-0]: 2023-06-13 20:04:59.760108: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:04:59.763983: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 14644507011469639515 [worker-3]: 2023-06-13 20:04:59.764170: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected. [worker-0]: 2023-06-13 20:05:00.701788: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:549] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 15576974783993121007 [worker-1]: 2023-06-13 20:05:00.702076: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] 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-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-1]: I0613 20:05:00.703901 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I0613 20:05:00.703927 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: I0613 20:05:00.703898 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-2]: I0613 20:05:00.703979 281472864187232 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-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]: I0613 20:05:00.756475 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-0]: I0613 20:05:00.756531 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-2]: I0613 20:05:00.756466 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/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-1]: I0613 20:05:00.756952 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: I0613 20:05:00.756950 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: I0613 20:05:00.757036 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, 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:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, 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:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0613 20:05:00.757130 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0613 20:05:00.757129 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0613 20:05:00.757215 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, 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]: I0613 20:05:00.762400 281472864187232 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0613 20:05:00.763045 281472864187232 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0613 20:05:00.763247 281472864187232 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:33817', 'localhost:46781', 'localhost:36725', 'localhost:41467']}, 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-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0613 20:05:00.796487 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0613 20:05:00.797032 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: I0613 20:05:00.797011 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0613 20:05:00.797441 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0613 20:05:00.797799 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-2]: I0613 20:05:00.797612 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: Traceback (most recent call last): [worker-1]: Traceback (most recent call last): [worker-2]: Traceback (most recent call last): [worker-3]: I0613 20:05:00.799204 281472864187232 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-2]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-1]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0613 20:05:00.799996 281472864187232 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0613 20:05:00.798051 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-1]: I0613 20:05:00.798534 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: I0613 20:05:00.797940 281472864187232 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-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]: 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]: Traceback (most recent call last): [worker-1]: Instructions for updating: [worker-2]: Instructions for updating: [worker-0]: Instructions for updating: [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]: File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner [worker-1]: W0613 20:05:00.798923 281472864187232 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]: W0613 20:05:00.798370 281472864187232 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]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: I0613 20:05:00.800477 281472864187232 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: Instructions for updating: [worker-2]: Instructions for updating: [worker-0]: W0613 20:05:00.798288 281472864187232 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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Instructions for updating: [worker-1]: INFO:tensorflow:Start training at 0 [worker-2]: INFO:tensorflow:Start training at 0 [worker-3]: Instructions for updating: [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: I0613 20:05:00.798590 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: I0613 20:05:00.799116 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: INFO:tensorflow:Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: I0613 20:05:00.798472 281472864187232 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: self.run() [worker-2]: self.run() [worker-3]: W0613 20:05:00.800820 281472864187232 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]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-2]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-0]: self.run() [worker-1]: self._target(*self._args, **self._kwargs) [worker-2]: self._target(*self._args, **self._kwargs) [worker-3]: Instructions for updating: [worker-0]: File "/usr/lib/python3.8/threading.py", line 870, 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-3]: Track steps using a tf.Variable saved in checkpoint instead. [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]: self._target(*self._args, **self._kwargs) [worker-3]: INFO:tensorflow:Start training at 0 [worker-1]: if self._termination_watcher_fn(): [worker-2]: 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/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: I0613 20:05:00.800995 281472864187232 gce_failure_handler_test.py:194] 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/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/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-3]: self.run() [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-0]: if self._termination_watcher_fn(): [worker-3]: File "/usr/lib/python3.8/threading.py", line 870, in run [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [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]: AttributeError: 'str' object has no attribute 'is_set' [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-0]: AttributeError: 'str' object has no attribute 'is_set' [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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:05:00.899371 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:00.899450 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:00.899478 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:00.903382 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:00.962631 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:00.962683 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:00.963368 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:00.963832 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.016076 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:01.016095 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.016781 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:01.017186 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.070085 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.071105 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:01.071152 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:05:01.071177 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.123919 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.124330 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.124482 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:01.124987 281472864187232 cross_device_ops.py:1152] 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 0xfffee05ee9d0> 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 0xfffee05f29d0> 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 0xfffedc5ee9d0> 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 0xfffee05ee9d0> 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]: W0613 20:05:01.167952 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ee9d0> 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]: W0613 20:05:01.167959 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05f29d0> 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]: W0613 20:05:01.168182 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffedc5ee9d0> 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]: W0613 20:05:01.168240 281472864187232 polymorphic_function.py:154] 5 out of the last 5 calls to .wrapped_fn at 0xfffee05ee9d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:05:01.176238 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.176419 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:01.176661 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:01.176648 281472864187232 cross_device_ops.py:1152] 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 0xfffee0590160> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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 0xfffee0590160> 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 0xfffedc590160> 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]: W0613 20:05:01.220449 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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]: W0613 20:05:01.220455 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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]: W0613 20:05:01.220744 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffee0590160> 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]: INFO:tensorflow:epoch 0 finished [worker-1]: W0613 20:05:01.220649 281472864187232 polymorphic_function.py:154] 6 out of the last 6 calls to .wrapped_fn at 0xfffedc590160> 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-0]: I0613 20:05:01.220900 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: I0613 20:05:01.220947 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0613 20:05:01.221151 281472864187232 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-1]: I0613 20:05:01.221120 281472864187232 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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:05:01.228768 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.229130 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:01.229266 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:01.229253 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.281062 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:01.281130 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.281809 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:01.282089 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0613 20:05:01.332735 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:05:01.332947 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:01.333018 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:05:01.384771 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:01.384837 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:01.384810 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.436690 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.437310 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:05:01.437635 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:01.437619 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.488881 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.489499 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.489568 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:01.490143 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 1 finished [worker-3]: INFO:tensorflow:epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-0]: I0613 20:05:01.533167 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: I0613 20:05:01.533314 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0613 20:05:01.533350 281472864187232 gce_failure_handler_test.py:192] epoch 1 finished [worker-3]: I0613 20:05:01.533163 281472864187232 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]: I0613 20:05:01.540971 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.541962 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0613 20:05:01.541961 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:05:01.542273 281472864187232 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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-3]: I0613 20:05:01.703892 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0613 20:05:01.704273 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0613 20:05:01.704253 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 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implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 2 finished [worker-3]: INFO:tensorflow:epoch 2 finished [worker-1]: INFO:tensorflow:epoch 2 finished [worker-2]: INFO:tensorflow:epoch 2 finished [worker-0]: I0613 20:05:01.854998 281472864187232 gce_failure_handler_test.py:192] epoch 2 finished [worker-3]: I0613 20:05:01.854947 281472864187232 gce_failure_handler_test.py:192] epoch 2 finished [worker-1]: I0613 20:05:01.855149 281472864187232 gce_failure_handler_test.py:192] epoch 2 finished [worker-2]: I0613 20:05:01.855211 281472864187232 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]: I0613 20:05:01.863311 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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= 1 [worker-1]: I0613 20:05:01.864528 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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]: I0613 20:05:01.916648 281472864187232 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [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 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cross_device_ops.py:1152] 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-2]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-3]: I0613 20:05:02.619586 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0613 20:05:02.619786 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: I0613 20:05:02.619763 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: I0613 20:05:02.619820 281472864187232 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-3]: INFO:tensorflow:Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-2]: I0613 20:05:02.620082 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0613 20:05:02.620182 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-3]: I0613 20:05:02.619973 281472864187232 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0613 20:05:02.620217 281472864187232 gce_failure_handler_test.py:244] Training finished. I0613 20:05:03.630354 281473191408480 multi_process_runner.py:646] worker-0 exit code: 0 I0613 20:05:03.630699 281473191408480 multi_process_runner.py:646] worker-1 exit code: 0 I0613 20:05:03.630842 281473191408480 multi_process_runner.py:646] worker-2 exit code: 0 I0613 20:05:03.630964 281473191408480 multi_process_runner.py:646] worker-3 exit code: 0 I0613 20:05:03.633505 281473191408480 multi_process_runner.py:662] Joining log reading threads. I0613 20:05:03.633707 281473191408480 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_checkpoint_strategyoption_MWMSmultiworker): 9.24s I0613 20:05:03.754952 281473191408480 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker): 9.24s [ OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker ====================================================================== ERROR: test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker (__main__.GceFailureHandlingTest) GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker(api_wrapping_train=False, grace_period=7, input_arg='checkpoint', strategy_option='MWMS_multi_worker') ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/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 186, 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 339, 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 358, 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 530, 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 610, 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 323.427s FAILED (errors=1) ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 33.9s //tensorflow/c:c_api_function_test PASSED in 28.9s //tensorflow/c:c_api_test_cpu PASSED in 64.2s //tensorflow/c:c_test PASSED in 33.4s //tensorflow/c:env_test_cpu PASSED in 25.4s //tensorflow/c:kernels_test_cpu PASSED in 50.6s //tensorflow/c:ops_test PASSED in 26.1s //tensorflow/c:while_loop_test PASSED in 28.9s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 32.1s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 31.6s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 31.5s //tensorflow/c/eager:c_api_test_cpu PASSED in 30.0s //tensorflow/c/eager:custom_device_test PASSED in 30.0s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 32.5s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 42.3s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 30.9s 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5.7s //tensorflow/compiler/mlir/tosa/tests:verify_fully_converted.mlir.test PASSED in 0.8s //tensorflow/compiler/tests:adadelta_test_cpu PASSED in 10.5s //tensorflow/compiler/tests:adagrad_da_test_cpu PASSED in 9.4s //tensorflow/compiler/tests:adagrad_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:adam_test_cpu PASSED in 9.9s //tensorflow/compiler/tests:add_n_test_cpu PASSED in 6.1s //tensorflow/compiler/tests:argminmax_test_cpu PASSED in 11.4s //tensorflow/compiler/tests:argminmax_test_cpu_mlir_bridge_test PASSED in 11.5s //tensorflow/compiler/tests:bucketize_op_test_cpu PASSED in 6.0s //tensorflow/compiler/tests:bucketize_op_test_cpu_mlir_bridge_test PASSED in 7.4s //tensorflow/compiler/tests:case_test_cpu PASSED in 6.9s //tensorflow/compiler/tests:cast_ops_test_cpu PASSED in 7.6s //tensorflow/compiler/tests:cast_ops_test_cpu_mlir_bridge_test PASSED in 5.7s //tensorflow/compiler/tests:categorical_op_test_cpu PASSED in 10.1s //tensorflow/compiler/tests:categorical_op_test_cpu_mlir_bridge_test PASSED in 10.7s //tensorflow/compiler/tests:cholesky_op_test_cpu PASSED in 14.5s //tensorflow/compiler/tests:cholesky_op_test_cpu_mlir_bridge_test PASSED in 15.3s //tensorflow/compiler/tests:clustering_test_cpu PASSED in 6.0s //tensorflow/compiler/tests:clustering_test_cpu_mlir_bridge_test PASSED in 6.9s //tensorflow/compiler/tests:concat_ops_test_cpu PASSED in 6.9s //tensorflow/compiler/tests:concat_ops_test_cpu_mlir_bridge_test PASSED in 7.3s //tensorflow/compiler/tests:cond_test_cpu PASSED in 8.4s //tensorflow/compiler/tests:const_arg_test_cpu PASSED in 6.0s //tensorflow/compiler/tests:const_test_cpu PASSED in 7.9s //tensorflow/compiler/tests:data_format_ops_test_cpu PASSED in 8.4s //tensorflow/compiler/tests:data_format_ops_test_cpu_mlir_bridge_test PASSED in 12.0s //tensorflow/compiler/tests:dense_layer_test_cpu PASSED in 9.2s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu_mlir_bridge_test PASSED in 9.4s //tensorflow/compiler/tests:dynamic_stitch_test_cpu PASSED in 7.1s //tensorflow/compiler/tests:dynamic_stitch_test_cpu_mlir_bridge_test PASSED in 5.5s //tensorflow/compiler/tests:eager_test_cpu PASSED in 14.2s //tensorflow/compiler/tests:einsum_op_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:einsum_op_test_cpu_mlir_bridge_test PASSED in 6.5s //tensorflow/compiler/tests:ensure_shape_op_test_cpu PASSED in 6.2s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu PASSED in 5.9s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu_mlir_bridge_test PASSED in 5.8s //tensorflow/compiler/tests:fake_quant_ops_test_cpu PASSED in 12.2s //tensorflow/compiler/tests:fake_quant_ops_test_cpu_mlir_bridge_test PASSED in 11.9s //tensorflow/compiler/tests:fifo_queue_test_cpu PASSED in 6.7s //tensorflow/compiler/tests:fifo_queue_test_cpu_mlir_bridge_test PASSED in 7.3s //tensorflow/compiler/tests:ftrl_ops_test_cpu PASSED in 8.3s //tensorflow/compiler/tests:ftrl_ops_test_cpu_mlir_bridge_test PASSED in 7.7s //tensorflow/compiler/tests:function_test_cpu PASSED in 6.6s //tensorflow/compiler/tests:function_test_cpu_mlir_bridge_test PASSED in 6.4s //tensorflow/compiler/tests:gather_nd_op_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:gather_nd_op_test_cpu_mlir_bridge_test PASSED in 6.8s //tensorflow/compiler/tests:gather_test_cpu PASSED in 54.1s //tensorflow/compiler/tests:gather_test_cpu_mlir_bridge_test PASSED in 47.8s //tensorflow/compiler/tests:jit_test_cpu PASSED in 38.6s //tensorflow/compiler/tests:listdiff_op_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:listdiff_op_test_cpu_mlir_bridge_test PASSED in 11.2s //tensorflow/compiler/tests:lrn_ops_test_cpu PASSED in 7.5s //tensorflow/compiler/tests:lrn_ops_test_cpu_mlir_bridge_test PASSED in 6.0s //tensorflow/compiler/tests:lstm_test_cpu PASSED in 17.0s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 12.8s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 16.4s //tensorflow/compiler/tests:matrix_band_part_test_cpu PASSED in 32.7s //tensorflow/compiler/tests:matrix_band_part_test_cpu_mlir_bridge_test PASSED in 34.8s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 24.8s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 19.9s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 7.7s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 7.2s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu PASSED in 19.0s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu_mlir_bridge_test PASSED in 38.7s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 7.9s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 7.6s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 10.4s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 6.6s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 6.1s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 6.4s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 6.3s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 6.7s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 6.7s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 5.4s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 6.3s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 7.5s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 10.4s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 11.7s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 6.6s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 7.8s //tensorflow/compiler/tests:risc_ops_test_cpu_mlir_bridge_test PASSED in 6.1s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 9.1s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 15.5s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 23.9s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 7.2s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 8.2s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 20.5s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 26.1s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 13.9s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 16.9s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 11.4s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 18.3s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 6.4s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 9.0s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 5.8s //tensorflow/compiler/tests:tensor_float_32_test_cpu PASSED in 6.9s //tensorflow/compiler/tests:tensor_float_32_test_cpu_mlir_bridge_test PASSED in 6.2s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 11.0s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 12.3s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 10.0s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 16.7s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 5.7s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 22.5s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 15.6s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 17.0s //tensorflow/compiler/tests:while_test_cpu PASSED in 12.7s //tensorflow/compiler/tests:xla_call_module_no_platform_check_test_cpu PASSED in 6.8s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 8.2s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 6.0s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 6.7s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 9.1s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 13.1s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 28.1s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 28.6s //tensorflow/compiler/tests:xla_test_test PASSED in 5.6s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 5.0s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.1s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 1.8s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 0.6s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 21.3s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 4.5s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.6s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 7.7s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 1.7s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.5s //tensorflow/compiler/tf2xla:tf2xla_opset_test PASSED in 7.1s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 23.8s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 1.2s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 14.2s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 16.8s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 3.2s 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PASSED in 0.6s //tensorflow/compiler/xla:reference_util_test PASSED in 0.3s //tensorflow/compiler/xla:shape_test PASSED in 0.2s //tensorflow/compiler/xla:shape_tree_test PASSED in 0.7s //tensorflow/compiler/xla:shape_util_test PASSED in 2.3s //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 0.2s //tensorflow/compiler/xla:types_test PASSED in 0.2s //tensorflow/compiler/xla:util_test PASSED in 0.6s //tensorflow/compiler/xla:window_util_test PASSED in 0.1s //tensorflow/compiler/xla/client:padding_test PASSED in 0.2s //tensorflow/compiler/xla/client:xla_builder_test PASSED in 0.3s //tensorflow/compiler/xla/client/lib:arithmetic_test_cpu PASSED in 6.7s //tensorflow/compiler/xla/client/lib:comparators_test_cpu PASSED in 7.6s //tensorflow/compiler/xla/client/lib:constants_test_cpu PASSED in 11.8s //tensorflow/compiler/xla/client/lib:logdet_test_cpu PASSED in 9.5s //tensorflow/compiler/xla/client/lib:math_test_cpu PASSED in 12.4s //tensorflow/compiler/xla/client/lib:matrix_test_cpu PASSED in 10.7s //tensorflow/compiler/xla/client/lib:pooling_test_cpu PASSED in 10.9s //tensorflow/compiler/xla/client/lib:qr_test_cpu PASSED in 12.0s //tensorflow/compiler/xla/client/lib:slicing_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/client/lib:sorting_test_cpu PASSED in 8.3s //tensorflow/compiler/xla/examples/axpy:stablehlo_compile_test PASSED in 8.5s //tensorflow/compiler/xla/experiments/sm_bandwidth_benchmark:sm_bw_test PASSED in 0.6s //tensorflow/compiler/xla/hlo/evaluator:hlo_evaluator_test PASSED in 1.7s //tensorflow/compiler/xla/hlo/experimental/auto_sharding:auto_sharding_test PASSED in 3.3s //tensorflow/compiler/xla/hlo/transforms:hlo_constant_splitter_test PASSED in 0.7s //tensorflow/compiler/xla/hlo/utils:hlo_live_range_test PASSED in 0.7s //tensorflow/compiler/xla/hlo/utils:hlo_matchers_test PASSED in 2.1s //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:fft.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:legalize_i1_vector_transfers.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:library_ops_to_cpu_runtime.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:remove_copies_to_out_params.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:rng_bit_generator.mlir.test PASSED in 0.6s //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_infeed.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_memref_element_cast_to_llvm.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_outfeed.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:add_concurrent_regions.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:add_hlo_trace.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_launch.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memcpy.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memset.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_case.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_fft.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_cholesky.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_conv.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_cublas_lt_matmul.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_gemm.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_infeed.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_outfeed.mlir.test PASSED in 0.5s //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 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:memref_get_global_to_arg.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:outline_cuda_graphs.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/framework/tests:legalize-xla-framework.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/framework/tests:outline-with-xla-framework.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/framework/tests:xla-framework.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/math/transforms/tests:math_optimization.mlir.test PASSED in 1.6s //tensorflow/compiler/xla/mlir/memref/transforms/tests:aligned_allocations.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/runtime/ir/tests:ops.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/runtime/ir/tests:ops_verify.mlir.test PASSED in 0.7s 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//tensorflow/compiler/xla/mlir_hlo/tests:tile_loops.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir_hlo/tests:unbufferize.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:unroll-loops.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tools/mlir_interpreter/framework/tests:interpreter_value_test PASSED in 0.2s //tensorflow/compiler/xla/mlir_hlo/tools/mlir_interpreter/framework/tests:tensor_or_memref_test PASSED in 0.1s //tensorflow/compiler/xla/pjrt:host_callback_test PASSED in 0.3s //tensorflow/compiler/xla/pjrt:lru_cache_test PASSED in 0.1s //tensorflow/compiler/xla/pjrt:pjrt_api_test PASSED in 0.3s //tensorflow/compiler/xla/pjrt:pjrt_client_test_cpu PASSED in 12.9s //tensorflow/compiler/xla/pjrt:pjrt_compiler_test PASSED in 0.7s //tensorflow/compiler/xla/pjrt:pjrt_executable_test PASSED in 0.3s //tensorflow/compiler/xla/pjrt:pjrt_stream_executor_client_test PASSED in 8.0s //tensorflow/compiler/xla/pjrt:semaphore_test PASSED in 0.1s //tensorflow/compiler/xla/pjrt:tf_pjrt_client_test PASSED in 7.8s //tensorflow/compiler/xla/pjrt:tfrt_cpu_pjrt_client_test PASSED in 7.2s //tensorflow/compiler/xla/pjrt:tracked_device_buffer_test PASSED in 7.5s //tensorflow/compiler/xla/pjrt:tracked_tfrt_cpu_device_buffer_test PASSED in 0.2s //tensorflow/compiler/xla/pjrt:transpose_test PASSED in 39.2s //tensorflow/compiler/xla/pjrt/c:pjrt_c_api_cpu_test PASSED in 8.7s //tensorflow/compiler/xla/pjrt/c:pjrt_c_api_helpers_test PASSED in 0.2s //tensorflow/compiler/xla/pjrt/distributed:client_server_test PASSED in 41.3s //tensorflow/compiler/xla/pjrt/distributed:topology_util_test PASSED in 0.3s //tensorflow/compiler/xla/python:outfeed_receiver_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/python/ifrt:array_test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt:array_test_no_impl PASSED in 0.2s //tensorflow/compiler/xla/python/ifrt:client_test_no_impl PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:future_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:index_domain_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:index_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:shape_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:sharding_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:tuple_test_no_impl PASSED in 0.2s //tensorflow/compiler/xla/python/ifrt/ir/tests:executable_test_no_impl PASSED in 2.0s //tensorflow/compiler/xla/python/ifrt/ir/tests:spmd_interface_verification.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_array.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_assemble.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_attrs.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_call.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_call_loaded_executable.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_disassemble.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_loaded_executable.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_reshard.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/python/ifrt/support:sharding_param_to_op_sharding_test PASSED in 0.4s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_array_impl_test_tfrt_cpu PASSED in 13.1s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_client_impl_test_tfrt_cpu PASSED in 7.6s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_executable_impl_test_tfrt_cpu PASSED in 9.5s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_tuple_impl_test_tfrt_cpu PASSED in 8.9s //tensorflow/compiler/xla/python/pjrt_ifrt:xla_executable_test_no_impl PASSED in 1.9s //tensorflow/compiler/xla/python_api:xla_literal_test PASSED in 0.8s //tensorflow/compiler/xla/python_api:xla_shape_test PASSED in 0.7s //tensorflow/compiler/xla/rpc:grpc_client_test PASSED in 2.1s //tensorflow/compiler/xla/runtime:arguments_test PASSED in 0.6s //tensorflow/compiler/xla/runtime:async_runtime_test PASSED in 0.1s //tensorflow/compiler/xla/runtime:custom_call_test PASSED in 1.8s //tensorflow/compiler/xla/runtime:diagnostics_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:executable_test PASSED in 2.5s //tensorflow/compiler/xla/runtime:ffi_test PASSED in 1.6s //tensorflow/compiler/xla/runtime:map_by_type_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:module_test PASSED in 0.1s //tensorflow/compiler/xla/runtime:results_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:state_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:symbolic_shape_test PASSED in 0.3s //tensorflow/compiler/xla/runtime:type_id_test PASSED in 0.2s //tensorflow/compiler/xla/service:algebraic_simplifier_overflow_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/service:algebraic_simplifier_test PASSED in 2.8s //tensorflow/compiler/xla/service:all_gather_broadcast_reorder_test PASSED in 0.8s //tensorflow/compiler/xla/service:all_gather_combiner_test PASSED in 0.8s //tensorflow/compiler/xla/service:all_gather_decomposer_test PASSED in 0.8s //tensorflow/compiler/xla/service:all_reduce_combiner_test PASSED in 0.7s //tensorflow/compiler/xla/service:all_reduce_contiguous_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_reduce_folder_test PASSED in 2.5s //tensorflow/compiler/xla/service:all_reduce_promotion_test PASSED in 1.1s //tensorflow/compiler/xla/service:all_reduce_reassociate_test PASSED in 0.7s //tensorflow/compiler/xla/service:all_reduce_simplifier_test PASSED in 0.7s //tensorflow/compiler/xla/service:ar_crs_combiner_test PASSED in 0.8s //tensorflow/compiler/xla/service:async_collective_creator_test PASSED in 1.6s //tensorflow/compiler/xla/service:async_op_canonicalizer_test PASSED in 0.6s //tensorflow/compiler/xla/service:batch_dot_simplification_test PASSED in 1.0s //tensorflow/compiler/xla/service:batchnorm_expander_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/service:bfloat16_conversion_folding_test PASSED in 0.7s //tensorflow/compiler/xla/service:bfloat16_propagation_test PASSED in 1.1s //tensorflow/compiler/xla/service:bitcast_dtypes_expander_test PASSED in 1.0s //tensorflow/compiler/xla/service:broadcast_canonicalizer_test PASSED in 1.8s //tensorflow/compiler/xla/service:buffer_assignment_test PASSED in 22.3s //tensorflow/compiler/xla/service:call_graph_test PASSED in 2.2s //tensorflow/compiler/xla/service:call_inliner_test PASSED in 1.2s //tensorflow/compiler/xla/service:change_op_data_type_test PASSED in 1.2s //tensorflow/compiler/xla/service:collective_ops_utils_test PASSED in 0.2s //tensorflow/compiler/xla/service:collective_transformation_reorderer_test PASSED in 0.7s //tensorflow/compiler/xla/service:collectives_schedule_linearizer_test PASSED in 0.6s //tensorflow/compiler/xla/service:compilation_environments_test PASSED in 0.9s //tensorflow/compiler/xla/service:conditional_canonicalizer_test PASSED in 0.6s //tensorflow/compiler/xla/service:conditional_code_motion_test PASSED in 1.1s //tensorflow/compiler/xla/service:conditional_simplifier_test PASSED in 1.6s //tensorflow/compiler/xla/service:conditional_to_select_test PASSED in 0.7s //tensorflow/compiler/xla/service:constant_value_test PASSED in 0.1s //tensorflow/compiler/xla/service:convert_async_collectives_to_sync_test PASSED in 0.6s //tensorflow/compiler/xla/service:convert_mover_test PASSED in 0.8s //tensorflow/compiler/xla/service:convert_operand_folding_test PASSED in 0.6s //tensorflow/compiler/xla/service:convolution_4d_expander_test PASSED in 0.7s //tensorflow/compiler/xla/service:convolution_group_converter_test PASSED in 0.8s //tensorflow/compiler/xla/service:convolution_pred_expander_test PASSED in 1.8s //tensorflow/compiler/xla/service:copy_insertion_test PASSED in 0.7s //tensorflow/compiler/xla/service:custom_call_status_test PASSED in 0.1s //tensorflow/compiler/xla/service:data_parallel_collective_optimizer_test PASSED in 2.1s //tensorflow/compiler/xla/service:defuser_test PASSED in 0.7s //tensorflow/compiler/xla/service:despecializer_test PASSED in 1.1s //tensorflow/compiler/xla/service:dfs_hlo_visitor_with_default_test PASSED in 0.7s //tensorflow/compiler/xla/service:dot_decomposer_test PASSED in 1.9s //tensorflow/compiler/xla/service:dot_dimension_merger_test PASSED in 0.7s //tensorflow/compiler/xla/service:dot_merger_test PASSED in 0.9s //tensorflow/compiler/xla/service:dynamic_dimension_inference_test PASSED in 0.7s //tensorflow/compiler/xla/service:dynamic_dimension_simplifier_test PASSED in 0.7s //tensorflow/compiler/xla/service:dynamic_index_splitter_test PASSED in 0.7s //tensorflow/compiler/xla/service:dynamic_padder_test_cpu PASSED in 12.8s //tensorflow/compiler/xla/service:dynamic_parameter_binding_test PASSED in 1.7s //tensorflow/compiler/xla/service:dynamic_update_slice_test_cpu PASSED in 10.2s //tensorflow/compiler/xla/service:elemental_ir_emitter_test_cpu PASSED in 10.5s //tensorflow/compiler/xla/service:flatten_call_graph_test PASSED in 0.6s //tensorflow/compiler/xla/service:float_normalization_test PASSED in 1.0s //tensorflow/compiler/xla/service:fusion_node_indexing_evaluation_test PASSED in 1.5s //tensorflow/compiler/xla/service:gather_expander_test PASSED in 0.7s //tensorflow/compiler/xla/service:gather_simplifier_test PASSED in 0.8s //tensorflow/compiler/xla/service:heap_simulator_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_alias_analysis_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_casting_utils_test PASSED in 8.5s //tensorflow/compiler/xla/service:hlo_computation_deduplicator_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_computation_test PASSED in 2.2s //tensorflow/compiler/xla/service:hlo_constant_folding_test PASSED in 4.8s //tensorflow/compiler/xla/service:hlo_cost_analysis_test PASSED in 8.7s //tensorflow/compiler/xla/service:hlo_creation_utils_test PASSED in 3.5s //tensorflow/compiler/xla/service:hlo_cse_test PASSED in 8.2s //tensorflow/compiler/xla/service:hlo_dataflow_analysis_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_dce_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_domain_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_element_type_converter_test PASSED in 1.7s //tensorflow/compiler/xla/service:hlo_execution_profile_test PASSED in 8.2s //tensorflow/compiler/xla/service:hlo_graph_dumper_test PASSED in 0.7s //tensorflow/compiler/xla/service:hlo_input_output_alias_config_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_instruction_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_liveness_analysis_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_memory_scheduler_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_module_dce_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_module_metadata_test PASSED in 0.5s //tensorflow/compiler/xla/service:hlo_module_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_opcode_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_ordering_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_parser_test PASSED in 0.3s //tensorflow/compiler/xla/service:hlo_pass_pipeline_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_phi_graph_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_proto_util_test PASSED in 2.4s //tensorflow/compiler/xla/service:hlo_reachability_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_rematerialization_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_rematerialization_test_utils_test PASSED in 0.6s //tensorflow/compiler/xla/service:hlo_replication_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_schedule_test PASSED in 3.5s //tensorflow/compiler/xla/service:hlo_sharding_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_value_semantics_analysis_test PASSED in 0.7s //tensorflow/compiler/xla/service:hlo_verifier_test PASSED in 1.0s //tensorflow/compiler/xla/service:indexed_array_analysis_test PASSED in 0.9s //tensorflow/compiler/xla/service:instruction_fusion_test PASSED in 1.9s //tensorflow/compiler/xla/service:latency_hiding_scheduler_test PASSED in 0.7s //tensorflow/compiler/xla/service:layout_assignment_test PASSED in 7.7s //tensorflow/compiler/xla/service:layout_normalization_test PASSED in 1.0s //tensorflow/compiler/xla/service:logistic_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:loop_schedule_linearizer_test PASSED in 2.5s //tensorflow/compiler/xla/service:map_inliner_test PASSED in 0.7s //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 0.2s //tensorflow/compiler/xla/service:memory_space_assignment_test PASSED in 1.1s //tensorflow/compiler/xla/service:memory_space_propagation_test PASSED in 0.9s //tensorflow/compiler/xla/service:name_uniquer_test PASSED in 0.2s //tensorflow/compiler/xla/service:operand_upcaster_test PASSED in 0.8s //tensorflow/compiler/xla/service:optimize_input_output_buffer_alias_test PASSED in 0.7s //tensorflow/compiler/xla/service:pattern_matcher_gmock_test PASSED in 0.2s //tensorflow/compiler/xla/service:pattern_matcher_test PASSED in 0.7s //tensorflow/compiler/xla/service:profile_guided_latency_estimator_test PASSED in 2.1s //tensorflow/compiler/xla/service:real_imag_expander_test PASSED in 0.7s //tensorflow/compiler/xla/service:reduce_decomposer_test PASSED in 1.0s //tensorflow/compiler/xla/service:reduce_scatter_combiner_test PASSED in 1.7s //tensorflow/compiler/xla/service:reduce_scatter_decomposer_test PASSED in 0.6s //tensorflow/compiler/xla/service:reduce_scatter_reassociate_test PASSED in 0.7s //tensorflow/compiler/xla/service:reshape_decomposer_test PASSED in 0.8s //tensorflow/compiler/xla/service:reshape_mover_test PASSED in 0.7s //tensorflow/compiler/xla/service:result_caster_test PASSED in 0.7s //tensorflow/compiler/xla/service:root_instruction_sinker_test PASSED in 0.8s //tensorflow/compiler/xla/service:scatter_expander_test PASSED in 0.7s //tensorflow/compiler/xla/service:scatter_simplifier_test PASSED in 0.8s //tensorflow/compiler/xla/service:select_and_scatter_expander_test PASSED in 0.7s //tensorflow/compiler/xla/service:shape_inference_test PASSED in 0.4s //tensorflow/compiler/xla/service:shaped_buffer_test PASSED in 6.9s //tensorflow/compiler/xla/service:sharding_propagation_test PASSED in 2.7s //tensorflow/compiler/xla/service:sharding_remover_test PASSED in 2.1s //tensorflow/compiler/xla/service:simplify_fp_conversions_test PASSED in 0.8s //tensorflow/compiler/xla/service:slice_sinker_test PASSED in 1.3s //tensorflow/compiler/xla/service:sort_simplifier_test PASSED in 0.6s //tensorflow/compiler/xla/service:space_to_batch_converter_test PASSED in 1.5s //tensorflow/compiler/xla/service:stable_sort_expander_test PASSED in 2.0s //tensorflow/compiler/xla/service:stochastic_convert_decomposer_test PASSED in 0.6s //tensorflow/compiler/xla/service:stream_pool_test PASSED in 0.5s //tensorflow/compiler/xla/service:topk_rewriter_test PASSED in 3.3s //tensorflow/compiler/xla/service:transpose_folding_test PASSED in 1.2s //tensorflow/compiler/xla/service:tuple_points_to_analysis_test PASSED in 0.6s //tensorflow/compiler/xla/service:tuple_simplifier_test PASSED in 0.7s //tensorflow/compiler/xla/service:tuple_util_test PASSED in 0.7s //tensorflow/compiler/xla/service:value_range_test PASSED in 0.7s //tensorflow/compiler/xla/service:while_loop_all_reduce_code_motion_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:while_loop_concat_code_motion_test PASSED in 0.9s //tensorflow/compiler/xla/service:while_loop_constant_sinking_test PASSED in 2.0s //tensorflow/compiler/xla/service:while_loop_expensive_invariant_code_motion_test PASSED in 0.7s //tensorflow/compiler/xla/service:while_loop_invariant_code_motion_test PASSED in 0.8s //tensorflow/compiler/xla/service:while_loop_simplifier_test PASSED in 0.6s //tensorflow/compiler/xla/service:while_loop_trip_count_annotator_test PASSED in 0.7s //tensorflow/compiler/xla/service:while_util_test PASSED in 1.5s //tensorflow/compiler/xla/service:xla_aot_compile_stablehlo_cpu_test PASSED in 12.8s //tensorflow/compiler/xla/service:xla_debug_info_manager_test PASSED in 0.9s //tensorflow/compiler/xla/service:zero_sized_hlo_elimination_test PASSED in 0.8s //tensorflow/compiler/xla/service/cpu:conv_canonicalization_test PASSED in 0.9s //tensorflow/compiler/xla/service/cpu:cpu_eigen_tensor_alignment_test PASSED in 1.8s //tensorflow/compiler/xla/service/cpu:cpu_instruction_fusion_test PASSED in 4.1s //tensorflow/compiler/xla/service/cpu:cpu_layout_assignment_test PASSED in 2.0s //tensorflow/compiler/xla/service/cpu:ir_emission_utils_test PASSED in 1.4s //tensorflow/compiler/xla/service/cpu:parallel_task_assignment_test PASSED in 5.2s //tensorflow/compiler/xla/service/cpu:runtime_fft_test PASSED in 0.2s //tensorflow/compiler/xla/service/cpu:shape_partition_test PASSED in 2.0s //tensorflow/compiler/xla/service/cpu:xfeed_manager_test PASSED in 1.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_bytesizeof_test PASSED in 0.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_dyn_shape_test PASSED in 7.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_eigen_dot_operation_test PASSED in 7.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_external_constants_test PASSED in 23.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_fusion_test PASSED in 7.5s //tensorflow/compiler/xla/service/cpu/tests:cpu_infeed_test PASSED in 9.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_intrinsic_test PASSED in 8.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_key_value_sort_test PASSED in 7.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_literal_caching_test PASSED in 11.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_noalias_test PASSED in 8.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_outfeed_test PASSED in 7.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_profiling_test PASSED in 8.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_spmd_compile_test PASSED in 7.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_topk_test PASSED in 14.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_vectorization_test PASSED in 10.3s //tensorflow/compiler/xla/service/cpu/tests:cpu_while_test PASSED in 9.4s //tensorflow/compiler/xla/service/cpu/tests:tree_reduction_rewriter_test PASSED in 7.4s //tensorflow/compiler/xla/service/gpu:alias_passthrough_params_test PASSED in 1.0s //tensorflow/compiler/xla/service/gpu:all_reduce_blueconnect_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:backend_configs_test PASSED in 0.6s //tensorflow/compiler/xla/service/gpu:copy_fusion_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu:cublas_pad_for_gemms_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:cudnn_pad_for_convolutions_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:cudnn_simplify_padding_test PASSED in 1.2s //tensorflow/compiler/xla/service/gpu:cudnn_support_utils_test PASSED in 1.2s //tensorflow/compiler/xla/service/gpu:cudnn_vectorize_convolutions_test PASSED in 1.2s //tensorflow/compiler/xla/service/gpu:fusion_merger_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:gemm_rewriter_triton_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:gpu_async_collective_annotator_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu:gpu_conv_padding_legalization_test PASSED in 2.9s //tensorflow/compiler/xla/service/gpu:gpu_conv_rewriter_test PASSED in 1.9s 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PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fully_connected_reference_model.hlotxt.test PASSED in 1.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fusion.hlotxt.test PASSED in 1.2s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:if_conditional.hlotxt.test PASSED in 1.0s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import_async.hlotxt.test PASSED in 1.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:layouts_and_names.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:location.hlotxt.test PASSED in 0.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:module_attributes.hlo.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:send_recv.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:simple.hlo.test PASSED in 0.6s 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PASSED in 0.8s //tensorflow/core/common_runtime:composite_device_test PASSED in 1.2s //tensorflow/core/common_runtime:cost_measurement_registry_test PASSED in 2.7s //tensorflow/core/common_runtime:cost_util_test PASSED in 0.1s //tensorflow/core/common_runtime:device_mgr_test PASSED in 1.2s //tensorflow/core/common_runtime:device_propagation_test PASSED in 0.6s //tensorflow/core/common_runtime:device_resolver_local_test PASSED in 0.7s //tensorflow/core/common_runtime:device_set_test PASSED in 1.0s //tensorflow/core/common_runtime:direct_session_test_cpu PASSED in 2.4s //tensorflow/core/common_runtime:direct_session_with_debug_test PASSED in 3.3s //tensorflow/core/common_runtime:direct_session_with_tracking_alloc_test PASSED in 1.9s //tensorflow/core/common_runtime:dynamic_device_mgr_test PASSED in 0.8s //tensorflow/core/common_runtime:eval_const_tensor_test PASSED in 0.7s //tensorflow/core/common_runtime:executor_test PASSED in 1.7s //tensorflow/core/common_runtime:function_optimization_registration_test PASSED in 2.3s //tensorflow/core/common_runtime:function_optimization_registry_no_pass_test PASSED in 1.6s //tensorflow/core/common_runtime:function_optimization_registry_pass_failure_test PASSED in 1.0s //tensorflow/core/common_runtime:function_optimization_registry_test PASSED in 1.5s //tensorflow/core/common_runtime:function_threadpool_test PASSED in 1.0s //tensorflow/core/common_runtime:graph_constructor_test PASSED in 1.8s //tensorflow/core/common_runtime:graph_runner_test PASSED in 0.7s //tensorflow/core/common_runtime:hierarchical_tree_broadcaster_test_cpu PASSED in 7.0s //tensorflow/core/common_runtime:inline_function_utils_test PASSED in 0.7s //tensorflow/core/common_runtime:input_colocation_exemption_registry_test PASSED in 1.8s //tensorflow/core/common_runtime:int32_fulltype_test PASSED in 0.6s //tensorflow/core/common_runtime:isolate_placer_inspection_required_ops_pass_test PASSED in 2.7s //tensorflow/core/common_runtime:lower_case_op_test PASSED in 2.0s //tensorflow/core/common_runtime:lower_function_call_test PASSED in 2.9s //tensorflow/core/common_runtime:lower_functional_ops_test PASSED in 2.4s //tensorflow/core/common_runtime:lower_if_op_test PASSED in 1.8s //tensorflow/core/common_runtime:lower_while_op_test PASSED in 2.7s //tensorflow/core/common_runtime:mkl_cpu_allocator_test PASSED in 0.1s //tensorflow/core/common_runtime:mkl_threadpool_device_test PASSED in 0.3s //tensorflow/core/common_runtime:no_op_cost_measurement_test PASSED in 0.4s //tensorflow/core/common_runtime:null_request_cost_accessor_test PASSED in 0.4s //tensorflow/core/common_runtime:optimization_registry_test PASSED in 0.8s //tensorflow/core/common_runtime:optimize_cross_host_control_deps_test PASSED in 5.6s //tensorflow/core/common_runtime:optimize_function_graph_utils_test PASSED in 0.8s //tensorflow/core/common_runtime:partitioning_utils_test PASSED in 0.8s //tensorflow/core/common_runtime:pending_counts_test PASSED in 0.9s //tensorflow/core/common_runtime:permuter_test_cpu PASSED in 6.7s //tensorflow/core/common_runtime:placer_inspection_required_ops_utils_test PASSED in 1.8s //tensorflow/core/common_runtime:placer_test PASSED in 1.0s //tensorflow/core/common_runtime:process_function_library_runtime_test_cpu PASSED in 0.6s //tensorflow/core/common_runtime:process_util_test PASSED in 0.2s //tensorflow/core/common_runtime:quantize_training_test PASSED in 2.4s //tensorflow/core/common_runtime:rendezvous_util_test PASSED in 0.6s //tensorflow/core/common_runtime:replicate_per_replica_nodes_test PASSED in 0.5s //tensorflow/core/common_runtime:request_cost_accessor_registry_test PASSED in 2.7s //tensorflow/core/common_runtime:request_cost_test PASSED in 0.2s //tensorflow/core/common_runtime:ring_gatherer_test_cpu PASSED in 2.7s //tensorflow/core/common_runtime:ring_reducer_test_cpu PASSED in 11.1s //tensorflow/core/common_runtime:scoped_allocator_mgr_test PASSED in 5.0s //tensorflow/core/common_runtime:session_test PASSED in 0.8s //tensorflow/core/common_runtime:shape_refiner_test PASSED in 0.7s //tensorflow/core/common_runtime:single_threaded_executor_test PASSED in 0.7s //tensorflow/core/common_runtime:threadpool_device_test PASSED in 1.1s //tensorflow/core/common_runtime:type_inference_test PASSED in 1.6s //tensorflow/core/common_runtime/eager:attr_builder_test PASSED in 37.3s //tensorflow/core/common_runtime/eager:context_test PASSED in 9.6s //tensorflow/core/common_runtime/eager:custom_device_test PASSED in 11.2s //tensorflow/core/common_runtime/eager:eager_executor_test PASSED in 12.5s //tensorflow/core/common_runtime/eager:eager_op_rewrite_registry_test PASSED in 0.6s //tensorflow/core/common_runtime/eager:eager_operation_test PASSED in 8.9s //tensorflow/core/common_runtime/eager:execute_node_test PASSED in 9.3s //tensorflow/core/common_runtime/eager:execute_test PASSED in 29.2s //tensorflow/core/common_runtime/eager:kernel_and_device_test PASSED in 0.8s //tensorflow/core/common_runtime/eager:mkl_eager_op_rewrite_test PASSED in 9.2s //tensorflow/core/common_runtime/eager:placement_test PASSED in 17.4s //tensorflow/core/common_runtime/eager:placement_utils_test PASSED in 10.3s //tensorflow/core/common_runtime/eager:summary_optimizer_test PASSED in 0.1s //tensorflow/core/common_runtime/eager:tensor_handle_data_test PASSED in 9.1s //tensorflow/core/common_runtime/eager:tensor_handle_test PASSED in 12.9s //tensorflow/core/common_runtime/gpu:gpu_device_on_non_gpu_machine_test PASSED in 0.3s //tensorflow/core/common_runtime/next_pluggable_device/c:plugin_c_api_test PASSED in 31.0s //tensorflow/core/config:flags_py_test PASSED in 7.9s //tensorflow/core/config:flags_test PASSED in 0.2s //tensorflow/core/data:compression_utils_test PASSED in 2.5s //tensorflow/core/data:dataset_utils_test PASSED in 0.5s //tensorflow/core/data:hash_utils_test PASSED in 1.3s //tensorflow/core/data:metric_utils_test PASSED in 5.8s //tensorflow/core/data:name_utils_test PASSED in 0.2s //tensorflow/core/data:rewrite_utils_test PASSED in 0.7s //tensorflow/core/data:serialization_utils_test PASSED in 0.6s //tensorflow/core/data:snapshot_utils_test PASSED in 1.0s //tensorflow/core/data:split_utils_test PASSED in 0.6s //tensorflow/core/data:standalone_save_restore_test PASSED in 3.7s //tensorflow/core/data:standalone_test PASSED in 2.3s //tensorflow/core/data:tfdataz_metrics_test PASSED in 1.3s //tensorflow/core/data:unbounded_thread_pool_test PASSED in 0.7s //tensorflow/core/data/service:auto_shard_rewriter_test PASSED in 1.4s //tensorflow/core/data/service:common_test PASSED in 0.1s //tensorflow/core/data/service:credentials_factory_test PASSED in 0.6s //tensorflow/core/data/service:cross_trainer_cache_test PASSED in 2.8s //tensorflow/core/data/service:data_service_test PASSED in 22.4s //tensorflow/core/data/service:data_transfer_test PASSED in 1.2s //tensorflow/core/data/service:dataset_store_test PASSED in 0.6s //tensorflow/core/data/service:dispatcher_client_test PASSED in 5.5s //tensorflow/core/data/service:dispatcher_state_test PASSED in 0.6s //tensorflow/core/data/service:grpc_dispatcher_impl_test PASSED in 3.8s //tensorflow/core/data/service:grpc_util_test PASSED in 0.7s //tensorflow/core/data/service:grpc_worker_impl_test PASSED in 2.5s //tensorflow/core/data/service:journal_test PASSED in 1.6s //tensorflow/core/data/service:logging_utils_test PASSED in 0.3s //tensorflow/core/data/service:task_runner_test PASSED in 3.1s //tensorflow/core/data/service:test_util_test PASSED in 2.6s //tensorflow/core/data/service:url_test PASSED in 0.1s //tensorflow/core/data/service:utils_test PASSED in 0.5s //tensorflow/core/data/service:validate_utils_test PASSED in 0.1s //tensorflow/core/data/service:worker_client_test PASSED in 2.9s //tensorflow/core/data/service:worker_impl_test PASSED in 3.8s //tensorflow/core/data/service/client:data_service_client_test PASSED in 4.1s //tensorflow/core/data/service/client:utils_test PASSED in 4.5s //tensorflow/core/data/service/client:validate_utils_test PASSED in 1.6s //tensorflow/core/data/service/snapshot:distributed_snapshot_test PASSED in 23.3s //tensorflow/core/data/service/snapshot:file_utils_test PASSED in 0.7s //tensorflow/core/data/service/snapshot:path_utils_test PASSED in 0.1s //tensorflow/core/data/service/snapshot:snapshot_manager_test PASSED in 2.8s //tensorflow/core/data/service/snapshot:snapshot_split_provider_test PASSED in 0.9s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test PASSED in 10.9s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_test PASSED in 2.1s //tensorflow/core/data/service/snapshot:utils_test PASSED in 0.6s //tensorflow/core/debug:debug_graph_utils_test PASSED in 0.5s //tensorflow/core/distributed_runtime:call_options_test PASSED in 0.7s //tensorflow/core/distributed_runtime:cluster_function_library_runtime_test PASSED in 4.7s //tensorflow/core/distributed_runtime:collective_param_resolver_distributed_test PASSED in 1.9s //tensorflow/core/distributed_runtime:collective_rma_distributed_test PASSED in 1.0s //tensorflow/core/distributed_runtime:device_resolver_distributed_test PASSED in 1.5s //tensorflow/core/distributed_runtime:message_wrappers_test PASSED in 0.1s //tensorflow/core/distributed_runtime:partial_run_mgr_test PASSED in 0.8s //tensorflow/core/distributed_runtime:recent_request_ids_test PASSED in 0.1s //tensorflow/core/distributed_runtime:request_id_test PASSED in 0.2s //tensorflow/core/distributed_runtime:rpc_collective_executor_mgr_test PASSED in 0.7s //tensorflow/core/distributed_runtime:server_lib_test PASSED in 0.3s //tensorflow/core/distributed_runtime:session_mgr_test PASSED in 3.2s //tensorflow/core/distributed_runtime:tensor_coding_test PASSED in 0.1s //tensorflow/core/distributed_runtime/coordination:coordination_service_barrier_proxy_test PASSED in 2.1s //tensorflow/core/distributed_runtime/eager:eager_service_impl_test PASSED in 19.0s //tensorflow/core/distributed_runtime/eager:remote_mgr_test PASSED in 13.3s //tensorflow/core/distributed_runtime/integration_test:c_api_multi_client_test_cpu PASSED in 34.8s //tensorflow/core/distributed_runtime/integration_test:c_api_recoverable_jobs_test_cpu PASSED in 41.8s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 44.1s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 3.1s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 1.9s //tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client_test PASSED in 1.3s //tensorflow/core/example:example_parser_configuration_test PASSED in 0.7s //tensorflow/core/example:feature_util_test PASSED in 0.1s //tensorflow/core/framework:allocator_test PASSED in 3.5s //tensorflow/core/framework:attr_value_util_test PASSED in 0.8s //tensorflow/core/framework:batch_util_test PASSED in 1.1s //tensorflow/core/framework:bfloat16_test PASSED in 1.0s //tensorflow/core/framework:common_shape_fns_test PASSED in 0.8s //tensorflow/core/framework:dataset_test PASSED in 1.1s //tensorflow/core/framework:device_base_test PASSED in 1.2s //tensorflow/core/framework:disable_jit_test PASSED in 0.9s //tensorflow/core/framework:framework_op_gen_lib_test PASSED in 0.2s //tensorflow/core/framework:framework_op_segment_test PASSED in 0.7s //tensorflow/core/framework:framework_resource_var_test PASSED in 0.1s //tensorflow/core/framework:framework_run_handler_test PASSED in 2.4s //tensorflow/core/framework:framework_run_handler_util_test PASSED in 2.6s //tensorflow/core/framework:full_type_inference_util_test PASSED in 0.8s //tensorflow/core/framework:full_type_util_test PASSED in 1.5s //tensorflow/core/framework:function_test PASSED in 0.9s //tensorflow/core/framework:graph_def_util_test PASSED in 0.9s //tensorflow/core/framework:graph_to_functiondef_test PASSED in 0.8s //tensorflow/core/framework:kernel_def_builder_test PASSED in 0.9s //tensorflow/core/framework:kernel_def_util_test PASSED in 1.3s //tensorflow/core/framework:memory_types_test PASSED in 1.3s //tensorflow/core/framework:model_test PASSED in 2.5s //tensorflow/core/framework:node_def_builder_test PASSED in 2.4s //tensorflow/core/framework:node_def_util_test PASSED in 0.7s //tensorflow/core/framework:node_properties_test PASSED in 1.7s //tensorflow/core/framework:op_compatibility_test PASSED in 0.7s //tensorflow/core/framework:op_def_builder_test PASSED in 1.3s //tensorflow/core/framework:op_def_util_test PASSED in 1.0s //tensorflow/core/framework:op_kernel_test PASSED in 1.1s //tensorflow/core/framework:op_registration_test PASSED in 0.8s //tensorflow/core/framework:partial_tensor_shape_test PASSED in 1.5s //tensorflow/core/framework:rendezvous_test PASSED in 5.3s //tensorflow/core/framework:resource_handle_test PASSED in 0.4s //tensorflow/core/framework:resource_mgr_test PASSED in 1.9s //tensorflow/core/framework:resource_op_kernel_test PASSED in 1.5s //tensorflow/core/framework:shape_inference_test PASSED in 1.5s //tensorflow/core/framework:shape_inference_testutil_test PASSED in 2.1s //tensorflow/core/framework:tensor_shape_test PASSED in 6.8s //tensorflow/core/framework:tensor_slice_test PASSED in 0.6s //tensorflow/core/framework:tensor_test PASSED in 29.3s //tensorflow/core/framework:tensor_testutil_test PASSED in 1.2s //tensorflow/core/framework:tensor_util_test PASSED in 0.9s //tensorflow/core/framework:tracking_allocator_test PASSED in 1.1s //tensorflow/core/framework:types_test PASSED in 0.9s //tensorflow/core/framework:variant_op_registry_test PASSED in 18.3s //tensorflow/core/framework:variant_test PASSED in 1.3s //tensorflow/core/framework/registration:registration_test PASSED in 1.0s //tensorflow/core/function/capture:by_ref_capture_test PASSED in 7.0s //tensorflow/core/function/capture:capture_container_test PASSED in 5.4s //tensorflow/core/function/integration_test:side_inputs_manual_api_test PASSED in 13.1s //tensorflow/core/function/integration_test:side_inputs_test PASSED in 11.7s //tensorflow/core/function/polymorphism:function_cache_test PASSED in 6.2s //tensorflow/core/function/polymorphism:function_type_test PASSED in 7.8s //tensorflow/core/function/polymorphism:type_dispatch_test PASSED in 5.9s //tensorflow/core/function/runtime_client:runtime_client_cc_test PASSED in 57.6s //tensorflow/core/function/trace_type:default_types_test PASSED in 5.7s //tensorflow/core/function/trace_type:serialization_test PASSED in 5.1s //tensorflow/core/function/trace_type:trace_type_test PASSED in 8.2s //tensorflow/core/graph:algorithm_test PASSED in 1.2s //tensorflow/core/graph:collective_order_test PASSED in 0.5s //tensorflow/core/graph:control_flow_test PASSED in 0.7s //tensorflow/core/graph:costmodel_test PASSED in 1.5s //tensorflow/core/graph:edgeset_test PASSED in 1.2s //tensorflow/core/graph:graph_debug_info_builder_test PASSED in 1.8s //tensorflow/core/graph:graph_def_builder_test PASSED in 1.2s //tensorflow/core/graph:graph_partition_test PASSED in 1.2s //tensorflow/core/graph:graph_test PASSED in 1.4s //tensorflow/core/graph:node_builder_test PASSED in 0.7s //tensorflow/core/graph:optimizer_cse_test PASSED in 1.3s //tensorflow/core/graph:subgraph_test PASSED in 1.2s //tensorflow/core/graph:tensor_id_test PASSED in 1.5s //tensorflow/core/graph:validate_test PASSED in 0.9s //tensorflow/core/graph/regularization:simple_delete_test PASSED in 0.3s //tensorflow/core/graph/regularization:util_test PASSED in 0.1s //tensorflow/core/grappler:graph_topology_view_test PASSED in 0.1s //tensorflow/core/grappler:graph_view_test PASSED in 1.8s //tensorflow/core/grappler:grappler_item_builder_test PASSED in 1.2s //tensorflow/core/grappler:grappler_item_test PASSED in 1.2s //tensorflow/core/grappler:mutable_graph_view_test PASSED in 1.9s //tensorflow/core/grappler:utils_test PASSED in 2.9s //tensorflow/core/grappler/clusters:single_machine_test PASSED in 22.8s //tensorflow/core/grappler/clusters:virtual_cluster_test PASSED in 1.0s //tensorflow/core/grappler/costs:analytical_cost_estimator_test PASSED in 2.6s //tensorflow/core/grappler/costs:cost_estimator_test PASSED in 0.3s //tensorflow/core/grappler/costs:graph_memory_test PASSED in 1.9s //tensorflow/core/grappler/costs:graph_properties_test PASSED in 4.6s //tensorflow/core/grappler/costs:robust_stats_test PASSED in 0.3s //tensorflow/core/grappler/costs:utils_test PASSED in 1.8s //tensorflow/core/grappler/costs:virtual_placer_test PASSED in 0.3s //tensorflow/core/grappler/costs:virtual_scheduler_test PASSED in 1.4s //tensorflow/core/grappler/graph_analyzer:gen_node_test PASSED in 1.4s //tensorflow/core/grappler/graph_analyzer:graph_analyzer_test PASSED in 1.9s //tensorflow/core/grappler/graph_analyzer:hash_tools_test PASSED in 1.3s //tensorflow/core/grappler/graph_analyzer:sig_node_test PASSED in 2.0s //tensorflow/core/grappler/graph_analyzer:subgraph_test PASSED in 1.2s //tensorflow/core/grappler/inputs:utils_test PASSED in 0.6s //tensorflow/core/grappler/optimizers:arithmetic_optimizer_test_cpu PASSED in 5.4s //tensorflow/core/grappler/optimizers:auto_mixed_precision_test_cpu PASSED in 1.7s //tensorflow/core/grappler/optimizers:auto_parallel_test_cpu PASSED in 1.5s //tensorflow/core/grappler/optimizers:common_subgraph_elimination_test_cpu PASSED in 2.2s //tensorflow/core/grappler/optimizers:custom_graph_optimizer_registry_test_cpu PASSED in 4.9s //tensorflow/core/grappler/optimizers:debug_stripper_test_cpu PASSED in 2.4s //tensorflow/core/grappler/optimizers:dependency_optimizer_test_cpu PASSED in 1.7s //tensorflow/core/grappler/optimizers:evaluation_utils_test PASSED in 0.5s //tensorflow/core/grappler/optimizers:function_api_info_test PASSED in 0.1s //tensorflow/core/grappler/optimizers:function_optimizer_test_cpu PASSED in 3.0s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_test_cpu PASSED in 1.7s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_factory_test PASSED in 0.3s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_test_cpu PASSED in 1.4s //tensorflow/core/grappler/optimizers:graph_optimizer_stage_test_cpu PASSED in 4.3s //tensorflow/core/grappler/optimizers:implementation_selector_test PASSED in 1.4s //tensorflow/core/grappler/optimizers:loop_optimizer_test_cpu PASSED in 1.4s //tensorflow/core/grappler/optimizers:memory_optimizer_test_cpu PASSED in 1.8s //tensorflow/core/grappler/optimizers:meta_optimizer_test_cpu PASSED in 9.8s //tensorflow/core/grappler/optimizers:mkl_remapper_test PASSED in 2.6s //tensorflow/core/grappler/optimizers:model_pruner_test_cpu PASSED in 1.6s //tensorflow/core/grappler/optimizers:pin_to_host_optimizer_test_cpu 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in 6.6s //tensorflow/python/training:rmsprop_test_cpu PASSED in 19.3s //tensorflow/python/training:saver_large_partitioned_variable_test PASSED in 15.6s //tensorflow/python/training:saver_test_2gpu PASSED in 29.1s //tensorflow/python/training:saver_test_cpu PASSED in 26.7s //tensorflow/python/training:server_lib_multiple_containers_test PASSED in 6.5s //tensorflow/python/training:server_lib_same_variables_clear_container_test PASSED in 7.2s //tensorflow/python/training:server_lib_same_variables_clear_test PASSED in 6.4s //tensorflow/python/training:server_lib_same_variables_no_clear_test PASSED in 5.9s //tensorflow/python/training:server_lib_sparse_job_test PASSED in 6.4s //tensorflow/python/training:server_lib_test PASSED in 13.4s //tensorflow/python/training:session_manager_test_cpu PASSED in 74.8s //tensorflow/python/training:slot_creator_test_cpu PASSED in 6.7s //tensorflow/python/training:supervisor_test PASSED in 12.0s //tensorflow/python/training:training_ops_mlir_test_cpu 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in 2.4s //tensorflow/tools/graph_transforms:transforms_test PASSED in 2.6s //tensorflow/tools/proto_text:gen_proto_text_functions_lib_test PASSED in 0.1s //tensorflow/tools/tensorflow_builder/compat_checker:compat_checker_test PASSED in 0.9s //tensorflow/tsl/c:tsl_status_helper_test PASSED in 0.2s //tensorflow/tsl/c:tsl_status_test PASSED in 0.1s //tensorflow/tsl/concurrency:async_value_ref_test PASSED in 0.1s //tensorflow/tsl/concurrency:async_value_test PASSED in 0.1s //tensorflow/tsl/concurrency:concurrent_vector_test PASSED in 0.2s //tensorflow/tsl/cuda:cudnn_version_test PASSED in 0.1s //tensorflow/tsl/distributed_runtime/coordination:coordination_service_agent_test PASSED in 13.1s //tensorflow/tsl/distributed_runtime/coordination:coordination_service_error_util_test PASSED in 0.4s //tensorflow/tsl/distributed_runtime/coordination:coordination_service_recoverable_job_test PASSED in 0.9s //tensorflow/tsl/distributed_runtime/preemption:preemption_notifier_test PASSED in 5.2s 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PASSED in 0.5s //tensorflow/tsl/platform:statusor_test PASSED in 1.9s //tensorflow/tsl/platform:str_util_test PASSED in 0.1s //tensorflow/tsl/platform:strcat_test PASSED in 0.1s //tensorflow/tsl/platform:stringpiece_test PASSED in 0.1s //tensorflow/tsl/platform:stringprintf_test PASSED in 0.1s //tensorflow/tsl/platform:subprocess_test PASSED in 0.1s //tensorflow/tsl/platform:tstring_test PASSED in 0.1s //tensorflow/tsl/platform:unbounded_work_queue_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:compute_engine_metadata_client_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:compute_engine_zone_provider_test PASSED in 0.8s //tensorflow/tsl/platform/cloud:curl_http_request_test PASSED in 9.8s //tensorflow/tsl/platform/cloud:expiring_lru_cache_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:gcs_dns_cache_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:gcs_file_system_test PASSED in 6.6s //tensorflow/tsl/platform/cloud:gcs_throttle_test PASSED in 0.3s //tensorflow/tsl/platform/cloud:google_auth_provider_test PASSED in 0.2s //tensorflow/tsl/platform/cloud:oauth_client_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:ram_file_block_cache_test PASSED in 2.7s //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 0.6s //tensorflow/tsl/profiler/convert:xla_op_utils_test PASSED in 0.5s //tensorflow/tsl/profiler/convert:xplane_to_trace_events_test PASSED in 0.1s //tensorflow/tsl/profiler/lib:profiler_factory_test PASSED in 0.3s //tensorflow/tsl/profiler/lib:profiler_lock_test PASSED in 0.7s //tensorflow/tsl/profiler/lib:scoped_annotation_test PASSED in 0.4s //tensorflow/tsl/profiler/lib:traceme_encode_test PASSED in 0.1s //tensorflow/tsl/profiler/rpc/client:profiler_client_test PASSED in 3.7s //tensorflow/tsl/profiler/rpc/client:remote_profiler_session_manager_test PASSED in 3.3s //tensorflow/tsl/profiler/utils:buffer_pool_test PASSED in 0.2s //tensorflow/tsl/profiler/utils:group_events_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:parse_annotation_test PASSED in 0.2s //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 0.1s //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 0.6s //tensorflow/compiler/tests:complex_div_test_cpu PASSED in 9.8s Stats over 2 runs: max = 9.8s, min = 8.1s, avg = 9.0s, dev = 0.8s //tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test PASSED in 6.0s Stats over 2 runs: max = 6.0s, min = 5.1s, avg = 5.6s, dev = 0.4s //tensorflow/compiler/xla/tests:conditional_test_cpu PASSED in 9.4s Stats over 2 runs: max = 9.4s, min = 9.1s, avg = 9.2s, dev = 0.2s //tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 13.3s Stats over 2 runs: max = 13.3s, min = 8.3s, avg = 10.8s, dev = 2.5s //tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 14.4s Stats over 2 runs: max = 14.4s, min = 12.9s, avg = 13.7s, dev = 0.7s //tensorflow/python/data/kernel_tests:padded_batch_test PASSED in 18.2s Stats over 2 runs: max = 18.2s, min = 18.2s, avg = 18.2s, dev = 0.0s //tensorflow/python/data/kernel_tests:repeat_test PASSED in 57.3s Stats over 2 runs: max = 57.3s, min = 49.7s, avg = 53.5s, dev = 3.8s //tensorflow/python/data/kernel_tests:window_test PASSED in 29.9s Stats over 2 runs: max = 29.9s, min = 20.8s, avg = 25.4s, dev = 4.5s //tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu PASSED in 13.0s Stats over 2 runs: max = 13.0s, min = 11.8s, avg = 12.4s, dev = 0.6s //tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 11.8s Stats over 2 runs: max = 11.8s, min = 11.6s, avg = 11.7s, dev = 0.1s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 9.5s Stats over 2 runs: max = 9.5s, min = 8.6s, avg = 9.0s, dev = 0.5s //tensorflow/python/kernel_tests/nn_ops:atrous_conv2d_test_cpu PASSED in 21.0s Stats over 2 runs: max = 21.0s, min = 12.8s, avg = 16.9s, dev = 4.1s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 113.8s Stats over 2 runs: max = 113.8s, min = 44.2s, avg = 79.0s, dev = 34.8s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 43.0s Stats over 2 runs: max = 43.0s, min = 7.0s, avg = 25.0s, dev = 18.0s //tensorflow/python/ops:control_flow_ops_test_cpu PASSED in 23.9s Stats over 2 runs: max = 23.9s, min = 20.1s, avg = 22.0s, dev = 1.9s //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 7.7s Stats over 3 runs: max = 7.7s, min = 7.4s, avg = 7.5s, dev = 0.1s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 9.7s Stats over 3 runs: max = 9.7s, min = 9.6s, avg = 9.6s, dev = 0.0s //tensorflow/compiler/xla/tests:triangular_solve_test_cpu PASSED in 52.7s Stats over 3 runs: max = 52.7s, min = 50.6s, avg = 51.7s, dev = 0.9s //tensorflow/core/data/service:thread_safe_buffer_test PASSED in 1.1s Stats over 3 runs: max = 1.1s, min = 1.0s, avg = 1.0s, dev = 0.1s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 12.0s Stats over 3 runs: max = 12.0s, min = 8.9s, avg = 10.8s, dev = 1.3s //tensorflow/python/data/kernel_tests:unique_test PASSED in 11.3s Stats over 3 runs: max = 11.3s, min = 9.2s, avg = 10.0s, dev = 1.0s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 42.0s Stats over 3 runs: max = 42.0s, min = 22.6s, avg = 29.3s, dev = 9.0s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 7.6s Stats over 3 runs: max = 7.6s, min = 7.2s, avg = 7.4s, dev = 0.2s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 16.5s Stats over 3 runs: max = 16.5s, min = 12.7s, avg = 14.6s, dev = 1.6s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 641.0s Stats over 3 runs: max = 641.0s, min = 7.6s, avg = 218.8s, dev = 298.5s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 11.3s Stats over 3 runs: max = 11.3s, min = 8.6s, avg = 9.5s, dev = 1.2s //tensorflow/compiler/xla/tests:dynamic_ops_test_cpu PASSED in 8.6s Stats over 4 runs: max = 8.6s, min = 8.1s, avg = 8.3s, dev = 0.2s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 1.4s Stats over 4 runs: max = 1.4s, min = 0.7s, avg = 1.0s, dev = 0.3s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 27.1s Stats over 4 runs: max = 27.1s, min = 10.7s, avg = 18.7s, dev = 6.8s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 32.0s Stats over 4 runs: max = 32.0s, min = 18.1s, avg = 22.5s, dev = 5.6s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 19.7s Stats over 4 runs: max = 19.7s, min = 9.1s, avg = 14.4s, dev = 5.2s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 17.2s Stats over 4 runs: max = 17.2s, min = 6.6s, avg = 10.5s, dev = 4.1s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 20.6s Stats over 4 runs: max = 20.6s, min = 12.9s, avg = 15.7s, dev = 3.2s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 9.8s Stats over 4 runs: max = 9.8s, min = 6.8s, avg = 8.1s, dev = 1.3s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_test PASSED in 38.5s Stats over 4 runs: max = 38.5s, min = 17.3s, avg = 27.8s, dev = 8.9s //tensorflow/python/data/kernel_tests:batch_test PASSED in 26.6s Stats over 4 runs: max = 26.6s, min = 20.6s, avg = 22.9s, dev = 2.3s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 13.5s Stats over 4 runs: max = 13.5s, min = 6.6s, avg = 9.9s, dev = 3.1s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 18.5s Stats over 4 runs: max = 18.5s, min = 10.8s, avg = 14.4s, dev = 3.0s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 27.9s Stats over 4 runs: max = 27.9s, min = 6.8s, avg = 15.6s, dev = 9.0s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 12.7s Stats over 4 runs: max = 12.7s, min = 11.7s, avg = 12.1s, dev = 0.4s //tensorflow/python/data/kernel_tests:skip_test PASSED in 16.2s Stats over 4 runs: max = 16.2s, min = 11.3s, avg = 13.2s, dev = 1.9s //tensorflow/python/data/kernel_tests:take_test PASSED in 18.0s Stats over 4 runs: max = 18.0s, min = 17.4s, avg = 17.7s, dev = 0.2s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 23.2s Stats over 4 runs: max = 23.2s, min = 21.2s, avg = 21.9s, dev = 0.8s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 25.4s Stats over 4 runs: max = 25.4s, min = 16.4s, avg = 21.2s, dev = 4.0s //tensorflow/python/data/kernel_tests:zip_test PASSED in 9.8s Stats over 4 runs: max = 9.8s, min = 7.5s, avg = 8.4s, dev = 0.8s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 11.0s Stats over 4 runs: max = 11.0s, min = 10.5s, avg = 10.7s, dev = 0.2s //tensorflow/python/distribute:cross_device_ops_test_2gpu PASSED in 24.4s Stats over 4 runs: max = 24.4s, min = 17.4s, avg = 20.4s, dev = 2.7s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 37.7s Stats over 4 runs: max = 37.7s, min = 28.2s, avg = 31.2s, dev = 3.8s //tensorflow/python/framework:convert_to_constants_test PASSED in 20.0s Stats over 4 runs: max = 20.0s, min = 13.7s, avg = 16.4s, dev = 2.4s //tensorflow/python/kernel_tests:collective_ops_test_2gpu PASSED in 28.6s Stats over 4 runs: max = 28.6s, min = 26.8s, avg = 27.9s, dev = 0.7s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 50.9s Stats over 4 runs: max = 50.9s, min = 40.9s, avg = 47.8s, dev = 4.1s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 11.1s Stats over 4 runs: max = 11.1s, min = 9.5s, avg = 10.5s, dev = 0.6s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 51.1s Stats over 4 runs: max = 51.1s, min = 16.2s, avg = 33.1s, dev = 15.5s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 22.5s Stats over 4 runs: max = 22.5s, min = 6.2s, avg = 12.4s, dev = 6.7s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 90.3s Stats over 4 runs: max = 90.3s, min = 12.8s, avg = 41.5s, dev = 31.2s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 39.8s Stats over 4 runs: max = 39.8s, min = 24.4s, avg = 32.7s, dev = 5.5s //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu PASSED in 24.6s Stats over 4 runs: max = 24.6s, min = 15.8s, avg = 20.1s, dev = 3.3s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 87.8s Stats over 4 runs: max = 87.8s, min = 3.3s, avg = 40.0s, dev = 37.4s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 16.3s Stats over 4 runs: max = 16.3s, min = 15.2s, avg = 15.8s, dev = 0.4s //tensorflow/python/ops:nn_batchnorm_test_cpu PASSED in 26.3s Stats over 4 runs: max = 26.3s, min = 17.3s, avg = 19.8s, dev = 3.8s //tensorflow/python/ops:nn_fused_batchnorm_d9m_test_cpu PASSED in 22.9s Stats over 4 runs: max = 22.9s, min = 19.3s, avg = 21.0s, dev = 1.3s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 56.9s Stats over 4 runs: max = 56.9s, min = 13.7s, avg = 33.2s, dev = 15.5s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 36.3s Stats over 4 runs: max = 36.3s, min = 33.7s, avg = 35.2s, dev = 0.9s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 5.8s Stats over 5 runs: max = 5.8s, min = 5.7s, avg = 5.8s, dev = 0.1s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 10.0s Stats over 5 runs: max = 10.0s, min = 4.1s, avg = 7.1s, dev = 2.3s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 17.2s Stats over 5 runs: max = 17.2s, min = 5.8s, avg = 10.0s, dev = 4.8s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 10.9s Stats over 5 runs: max = 10.9s, min = 7.3s, avg = 9.0s, dev = 1.5s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 12.6s Stats over 5 runs: max = 12.6s, min = 7.7s, avg = 9.8s, dev = 1.8s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 7.2s Stats over 5 runs: max = 7.2s, min = 5.8s, avg = 6.3s, dev = 0.5s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 7.4s Stats over 5 runs: max = 7.4s, min = 7.1s, avg = 7.2s, dev = 0.1s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 8.7s Stats over 5 runs: max = 8.7s, min = 5.2s, avg = 6.3s, dev = 1.3s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 8.5s Stats over 5 runs: max = 8.5s, min = 7.6s, avg = 7.9s, dev = 0.3s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 10.8s Stats over 5 runs: max = 10.8s, min = 8.6s, avg = 9.8s, dev = 0.8s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 9.6s Stats over 5 runs: max = 9.6s, min = 5.6s, avg = 7.0s, dev = 1.4s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 6.2s Stats over 5 runs: max = 6.2s, min = 5.2s, avg = 5.6s, dev = 0.4s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 152.0s Stats over 5 runs: max = 152.0s, min = 16.9s, avg = 63.5s, dev = 47.1s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 92.2s Stats over 5 runs: max = 92.2s, min = 11.8s, avg = 41.5s, dev = 27.7s //tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu PASSED in 23.6s Stats over 5 runs: max = 23.6s, min = 11.6s, avg = 18.9s, dev = 5.2s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 2.4s Stats over 5 runs: max = 2.4s, min = 2.2s, avg = 2.3s, dev = 0.1s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 8.0s Stats over 5 runs: max = 8.0s, min = 7.2s, avg = 7.8s, dev = 0.3s //tensorflow/dtensor/python/tests:multi_mesh_test_cpu PASSED in 7.6s Stats over 5 runs: max = 7.6s, min = 6.0s, avg = 6.8s, dev = 0.7s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 9.7s Stats over 5 runs: max = 9.7s, min = 8.6s, avg = 9.2s, dev = 0.3s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 9.6s Stats over 5 runs: max = 9.6s, min = 8.5s, avg = 9.1s, dev = 0.4s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 14.2s Stats over 5 runs: max = 14.2s, min = 10.5s, avg = 12.6s, dev = 1.4s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 25.7s Stats over 5 runs: max = 25.7s, min = 17.9s, avg = 22.3s, dev = 2.9s //tensorflow/python/distribute:vars_test_2gpu PASSED in 14.7s Stats over 5 runs: max = 14.7s, min = 12.2s, avg = 13.4s, dev = 1.0s //tensorflow/python/distribute:vars_test_cpu PASSED in 15.5s Stats over 5 runs: max = 15.5s, min = 13.4s, avg = 14.6s, dev = 0.9s //tensorflow/python/eager:device_placement_test_cpu PASSED in 7.7s Stats over 5 runs: max = 7.7s, min = 5.9s, avg = 6.7s, dev = 0.7s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 137.2s Stats over 5 runs: max = 137.2s, min = 25.4s, avg = 64.9s, dev = 38.5s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 11.3s Stats over 5 runs: max = 11.3s, min = 7.1s, avg = 9.1s, dev = 1.7s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 36.0s Stats over 5 runs: max = 36.0s, min = 22.8s, avg = 30.1s, dev = 4.5s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 35.4s Stats over 5 runs: max = 35.4s, min = 26.4s, avg = 29.9s, dev = 3.3s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 30.5s Stats over 5 runs: max = 30.5s, min = 29.3s, avg = 29.8s, dev = 0.4s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 17.8s Stats over 5 runs: max = 17.8s, min = 14.6s, avg = 16.0s, dev = 1.5s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 21.8s Stats over 5 runs: max = 21.8s, min = 20.4s, avg = 21.2s, dev = 0.5s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 19.8s Stats over 5 runs: max = 19.8s, min = 18.7s, avg = 19.2s, dev = 0.4s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 27.1s Stats over 5 runs: max = 27.1s, min = 25.9s, avg = 26.6s, dev = 0.4s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 28.1s Stats over 5 runs: max = 28.1s, min = 22.3s, avg = 24.8s, dev = 1.9s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 25.1s Stats over 5 runs: max = 25.1s, min = 19.0s, avg = 22.5s, dev = 2.1s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 21.3s Stats over 5 runs: max = 21.3s, min = 15.6s, avg = 18.6s, dev = 2.2s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 72.4s Stats over 5 runs: max = 72.4s, min = 67.3s, avg = 69.4s, dev = 1.9s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 6.6s Stats over 5 runs: max = 6.6s, min = 5.9s, avg = 6.2s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 13.2s Stats over 5 runs: max = 13.2s, min = 11.2s, avg = 12.2s, dev = 0.8s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 10.9s Stats over 5 runs: max = 10.9s, min = 5.7s, avg = 7.3s, dev = 1.9s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 17.9s Stats over 5 runs: max = 17.9s, min = 5.6s, avg = 10.1s, dev = 4.3s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 21.6s Stats over 5 runs: max = 21.6s, min = 7.7s, avg = 11.2s, dev = 5.2s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 53.5s Stats over 5 runs: max = 53.5s, min = 18.3s, avg = 33.3s, dev = 12.6s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 10.6s Stats over 6 runs: max = 10.6s, min = 7.6s, avg = 9.3s, dev = 0.9s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 12.3s Stats over 6 runs: max = 12.3s, min = 8.0s, avg = 10.4s, dev = 1.5s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 33.5s Stats over 6 runs: max = 33.5s, min = 6.0s, avg = 18.0s, dev = 11.7s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 47.5s Stats over 6 runs: max = 47.5s, min = 6.0s, avg = 15.5s, dev = 14.5s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 45.0s Stats over 6 runs: max = 45.0s, min = 19.1s, avg = 29.5s, dev = 8.0s //tensorflow/python/ops:accumulate_n_benchmark_cpu PASSED in 6.4s Stats over 6 runs: max = 6.4s, min = 5.3s, avg = 5.8s, dev = 0.4s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 10.6s Stats over 7 runs: max = 10.6s, min = 7.0s, avg = 8.5s, dev = 1.3s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 66.3s Stats over 8 runs: max = 66.3s, min = 5.6s, avg = 25.5s, dev = 20.7s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 64.8s Stats over 8 runs: max = 64.8s, min = 2.3s, avg = 21.4s, dev = 21.1s //tensorflow/dtensor/python/tests:input_util_test PASSED in 19.9s Stats over 8 runs: max = 19.9s, min = 11.0s, avg = 15.5s, dev = 3.0s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 23.6s Stats over 8 runs: max = 23.6s, min = 6.5s, avg = 12.7s, dev = 6.5s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 38.8s Stats over 8 runs: max = 38.8s, min = 14.3s, avg = 28.3s, dev = 8.4s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 43.7s Stats over 8 runs: max = 43.7s, min = 5.1s, avg = 20.6s, dev = 14.5s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 30.6s Stats over 8 runs: max = 30.6s, min = 5.7s, avg = 10.8s, dev = 8.3s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 17.4s Stats over 8 runs: max = 17.4s, min = 5.7s, avg = 9.6s, dev = 4.2s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 14.2s Stats over 8 runs: max = 14.2s, min = 6.3s, avg = 8.4s, dev = 3.0s //tensorflow/python/data/kernel_tests:filter_test PASSED in 13.3s Stats over 8 runs: max = 13.3s, min = 9.1s, avg = 11.2s, dev = 1.2s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 36.7s Stats over 8 runs: max = 36.7s, min = 20.2s, avg = 27.8s, dev = 6.0s //tensorflow/python/data/kernel_tests:shard_test PASSED in 15.5s Stats over 8 runs: max = 15.5s, min = 11.1s, avg = 13.5s, dev = 1.6s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 46.2s Stats over 8 runs: max = 46.2s, min = 19.4s, avg = 23.9s, dev = 8.5s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 30.4s Stats over 8 runs: max = 30.4s, min = 16.5s, avg = 24.1s, dev = 4.0s //tensorflow/python/distribute/failure_handling:failure_handler_test PASSED in 60.2s Stats over 8 runs: max = 60.2s, min = 30.0s, avg = 46.1s, dev = 8.7s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 36.4s Stats over 8 runs: max = 36.4s, min = 22.7s, avg = 31.0s, dev = 4.4s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 44.8s Stats over 8 runs: max = 44.8s, min = 35.8s, avg = 41.0s, dev = 3.3s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 57.8s Stats over 8 runs: max = 57.8s, min = 35.5s, avg = 45.6s, dev = 8.3s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 83.1s Stats over 8 runs: max = 83.1s, min = 4.6s, avg = 18.6s, dev = 25.9s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 6.6s Stats over 8 runs: max = 6.6s, min = 5.3s, avg = 6.0s, dev = 0.4s //tensorflow/python/kernel_tests/signal:fft_ops_test_cpu PASSED in 24.4s Stats over 8 runs: max = 24.4s, min = 10.5s, avg = 16.3s, dev = 5.6s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 56.8s Stats over 8 runs: max = 56.8s, min = 35.2s, avg = 47.9s, dev = 7.0s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 16.8s Stats over 8 runs: max = 16.8s, min = 7.8s, avg = 10.7s, dev = 2.8s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test FLAKY, failed in 1 out of 9 in 330.3s Stats over 9 runs: max = 330.3s, min = 9.5s, avg = 58.8s, dev = 98.1s /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_3_of_8/test_attempts/attempt_1.log //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 5.6s Stats over 10 runs: max = 5.6s, min = 2.5s, avg = 3.5s, dev = 1.1s //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 7.7s Stats over 10 runs: max = 7.7s, min = 4.4s, avg = 6.6s, dev = 1.0s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 6.5s Stats over 10 runs: max = 6.5s, min = 3.3s, avg = 4.8s, dev = 1.1s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 9.9s Stats over 10 runs: max = 9.9s, min = 4.4s, avg = 7.1s, dev = 1.8s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 11.2s Stats over 10 runs: max = 11.2s, min = 4.9s, avg = 8.2s, dev = 1.9s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 58.3s Stats over 10 runs: max = 58.3s, min = 31.7s, avg = 45.6s, dev = 8.6s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 61.2s Stats over 10 runs: max = 61.2s, min = 30.3s, avg = 46.1s, dev = 9.9s //tensorflow/compiler/xla/client/lib:svd_test_cpu PASSED in 70.1s Stats over 10 runs: max = 70.1s, min = 6.9s, avg = 24.5s, dev = 22.9s //tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu PASSED in 7.8s Stats over 10 runs: max = 7.8s, min = 6.5s, avg = 7.0s, dev = 0.3s //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 10.5s Stats over 10 runs: max = 10.5s, min = 0.5s, avg = 7.1s, dev = 3.3s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 15.2s Stats over 10 runs: max = 15.2s, min = 6.1s, avg = 9.7s, dev = 3.2s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 14.8s Stats over 10 runs: max = 14.8s, min = 6.4s, avg = 9.9s, dev = 2.8s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 15.3s Stats over 10 runs: max = 15.3s, min = 6.2s, avg = 10.3s, dev = 3.0s //tensorflow/python/framework:config_vgpu_test_2gpu PASSED in 5.9s Stats over 10 runs: max = 5.9s, min = 3.4s, avg = 4.7s, dev = 1.1s //tensorflow/python/framework:config_vgpu_test_cpu PASSED in 5.8s Stats over 10 runs: max = 5.8s, min = 2.5s, avg = 3.2s, dev = 1.1s //tensorflow/python/framework:function_test_cpu PASSED in 56.4s Stats over 10 runs: max = 56.4s, min = 3.4s, avg = 10.6s, dev = 15.4s //tensorflow/python/grappler:cluster_test_cpu PASSED in 9.3s Stats over 10 runs: max = 9.3s, min = 5.5s, avg = 7.6s, dev = 1.2s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 18.4s Stats over 10 runs: max = 18.4s, min = 9.5s, avg = 12.6s, dev = 2.4s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 7.9s Stats over 10 runs: max = 7.9s, min = 5.3s, avg = 7.0s, dev = 0.9s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 7.1s Stats over 10 runs: max = 7.1s, min = 3.1s, avg = 4.9s, dev = 1.4s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 56.9s Stats over 10 runs: max = 56.9s, min = 53.6s, avg = 55.7s, dev = 0.9s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 123.3s Stats over 10 runs: max = 123.3s, min = 6.7s, avg = 19.3s, dev = 34.7s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 49.4s Stats over 10 runs: max = 49.4s, min = 11.8s, avg = 28.4s, dev = 11.6s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 28.9s Stats over 10 runs: max = 28.9s, min = 6.4s, avg = 14.8s, dev = 8.4s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu PASSED in 17.6s Stats over 10 runs: max = 17.6s, min = 5.8s, avg = 8.7s, dev = 4.1s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 12.3s Stats over 10 runs: max = 12.3s, min = 8.9s, avg = 10.1s, dev = 1.0s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 7.3s Stats over 10 runs: max = 7.3s, min = 5.0s, avg = 6.1s, dev = 0.8s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 73.7s Stats over 10 runs: max = 73.7s, min = 13.7s, avg = 43.3s, dev = 28.0s //tensorflow/python/ops:special_math_ops_test_cpu PASSED in 53.6s Stats over 10 runs: max = 53.6s, min = 8.5s, avg = 16.8s, dev = 12.8s //tensorflow/python/ops/numpy_ops/tests:np_indexing_test PASSED in 65.8s Stats over 10 runs: max = 65.8s, min = 57.9s, avg = 62.5s, dev = 2.2s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 13.9s Stats over 10 runs: max = 13.9s, min = 11.1s, avg = 12.3s, dev = 0.7s //tensorflow/python/saved_model:load_test_cpu PASSED in 56.7s Stats over 10 runs: max = 56.7s, min = 31.4s, avg = 41.4s, dev = 6.5s //tensorflow/compiler/tests:fft_test_cpu PASSED in 28.5s Stats over 12 runs: max = 28.5s, min = 7.3s, avg = 16.4s, dev = 7.9s //tensorflow/compiler/xla/service:triangular_solve_expander_test PASSED in 4.1s Stats over 12 runs: max = 4.1s, min = 1.9s, avg = 2.9s, dev = 0.7s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 13.6s Stats over 12 runs: max = 13.6s, min = 2.9s, avg = 7.7s, dev = 3.4s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 9.1s Stats over 12 runs: max = 9.1s, min = 2.9s, avg = 4.8s, dev = 1.7s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 7.6s Stats over 12 runs: max = 7.6s, min = 3.3s, avg = 5.9s, dev = 1.2s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 220.9s Stats over 12 runs: max = 220.9s, min = 11.2s, avg = 48.7s, dev = 57.9s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 221.2s Stats over 12 runs: max = 221.2s, min = 10.9s, avg = 47.7s, dev = 58.2s //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 13.8s Stats over 15 runs: max = 13.8s, min = 8.3s, avg = 11.2s, dev = 1.3s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 89.4s Stats over 15 runs: max = 89.4s, min = 63.0s, avg = 72.1s, dev = 6.9s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 50.5s Stats over 15 runs: max = 50.5s, min = 5.0s, avg = 11.4s, dev = 11.0s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 11.5s Stats over 16 runs: max = 11.5s, min = 3.5s, avg = 7.0s, dev = 2.5s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 7.6s Stats over 16 runs: max = 7.6s, min = 3.0s, avg = 5.1s, dev = 1.7s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 10.0s Stats over 16 runs: max = 10.0s, min = 3.1s, avg = 6.0s, dev = 1.9s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 10.3s Stats over 16 runs: max = 10.3s, min = 2.8s, avg = 5.8s, dev = 2.3s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 22.9s Stats over 16 runs: max = 22.9s, min = 4.3s, avg = 13.3s, dev = 5.7s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 18.5s Stats over 16 runs: max = 18.5s, min = 6.5s, avg = 12.2s, dev = 3.4s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 24.6s Stats over 16 runs: max = 24.6s, min = 7.2s, avg = 9.7s, dev = 4.0s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 12.2s Stats over 16 runs: max = 12.2s, min = 5.1s, avg = 8.6s, dev = 2.4s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 10.0s Stats over 16 runs: max = 10.0s, min = 7.1s, avg = 8.4s, dev = 0.8s //tensorflow/python/ops:image_ops_test_cpu PASSED in 17.6s Stats over 16 runs: max = 17.6s, min = 8.2s, avg = 12.2s, dev = 2.5s //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu PASSED in 64.7s Stats over 16 runs: max = 64.7s, min = 12.6s, avg = 26.0s, dev = 10.9s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 9.2s Stats over 17 runs: max = 9.2s, min = 3.1s, avg = 5.5s, dev = 1.8s //tensorflow/python/data/kernel_tests:map_test PASSED in 32.8s Stats over 19 runs: max = 32.8s, min = 11.1s, avg = 16.8s, dev = 4.7s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 5.6s Stats over 20 runs: max = 5.6s, min = 2.8s, avg = 3.7s, dev = 0.9s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 6.0s Stats over 20 runs: max = 6.0s, min = 2.7s, avg = 3.5s, dev = 0.7s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 10.5s Stats over 20 runs: max = 10.5s, min = 2.8s, avg = 4.4s, dev = 1.9s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 13.6s Stats over 20 runs: max = 13.6s, min = 3.1s, avg = 5.5s, dev = 2.4s //tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu PASSED in 8.5s Stats over 20 runs: max = 8.5s, min = 7.6s, avg = 7.9s, dev = 0.3s //tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 12.4s Stats over 20 runs: max = 12.4s, min = 9.7s, avg = 10.9s, dev = 0.7s //tensorflow/compiler/xla/tests:dot_operation_test_cpu PASSED in 11.0s Stats over 20 runs: max = 11.0s, min = 9.9s, avg = 10.3s, dev = 0.3s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 13.2s Stats over 20 runs: max = 13.2s, min = 7.7s, avg = 9.8s, dev = 2.0s //tensorflow/compiler/xla/tests:reduce_window_test_cpu PASSED in 38.9s Stats over 20 runs: max = 38.9s, min = 6.6s, avg = 15.8s, dev = 10.1s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 25.3s Stats over 20 runs: max = 25.3s, min = 12.8s, avg = 17.1s, dev = 3.2s //tensorflow/python/kernel_tests:metrics_test PASSED in 41.0s Stats over 20 runs: max = 41.0s, min = 8.0s, avg = 20.7s, dev = 9.5s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 6.0s Stats over 20 runs: max = 6.0s, min = 2.7s, avg = 3.8s, dev = 1.1s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 10.8s Stats over 20 runs: max = 10.8s, min = 2.9s, avg = 5.3s, dev = 2.3s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 47.6s Stats over 20 runs: max = 47.6s, min = 4.6s, avg = 15.8s, dev = 12.6s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 88.3s Stats over 20 runs: max = 88.3s, min = 23.3s, avg = 44.9s, dev = 20.7s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 7.0s Stats over 20 runs: max = 7.0s, min = 3.5s, avg = 5.4s, dev = 1.1s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 10.7s Stats over 20 runs: max = 10.7s, min = 4.5s, avg = 6.9s, dev = 1.7s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 229.2s Stats over 20 runs: max = 229.2s, min = 35.3s, avg = 113.2s, dev = 63.0s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 21.6s Stats over 20 runs: max = 21.6s, min = 4.6s, avg = 10.2s, dev = 5.6s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 18.5s Stats over 20 runs: max = 18.5s, min = 4.8s, avg = 10.8s, dev = 5.0s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 17.1s Stats over 20 runs: max = 17.1s, min = 10.8s, avg = 14.7s, dev = 1.6s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 58.6s Stats over 20 runs: max = 58.6s, min = 5.7s, avg = 23.8s, dev = 18.1s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 27.9s Stats over 20 runs: max = 27.9s, min = 7.9s, avg = 12.7s, dev = 4.0s //tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 16.1s Stats over 24 runs: max = 16.1s, min = 5.1s, avg = 11.5s, dev = 3.1s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 14.7s Stats over 24 runs: max = 14.7s, min = 5.4s, avg = 10.0s, dev = 2.9s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 15.4s Stats over 24 runs: max = 15.4s, min = 3.1s, avg = 7.3s, dev = 3.5s //tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu PASSED in 7.6s Stats over 25 runs: max = 7.6s, min = 6.8s, avg = 7.1s, dev = 0.2s //tensorflow/compiler/xla/tests:select_and_scatter_test_cpu PASSED in 34.0s Stats over 25 runs: max = 34.0s, min = 8.3s, avg = 12.3s, dev = 6.8s //tensorflow/compiler/xla/tests:convolution_variants_test_cpu PASSED in 14.3s Stats over 30 runs: max = 14.3s, min = 8.0s, avg = 10.8s, dev = 1.5s //tensorflow/compiler/xla/tests:iota_test_cpu PASSED in 15.4s Stats over 30 runs: max = 15.4s, min = 11.9s, avg = 13.3s, dev = 1.1s //tensorflow/compiler/xla/tests:params_test_cpu PASSED in 9.2s Stats over 30 runs: max = 9.2s, min = 7.5s, avg = 8.2s, dev = 0.4s //tensorflow/compiler/xla/tests:reshape_test_cpu PASSED in 9.7s Stats over 30 runs: max = 9.7s, min = 8.5s, avg = 9.2s, dev = 0.3s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 11.5s Stats over 30 runs: max = 11.5s, min = 2.9s, avg = 5.9s, dev = 2.1s //tensorflow/compiler/xla/tests:reduce_test_cpu PASSED in 9.9s Stats over 31 runs: max = 9.9s, min = 8.3s, avg = 8.9s, dev = 0.4s //tensorflow/compiler/xla/tests:scalar_computations_test_cpu PASSED in 11.5s Stats over 32 runs: max = 11.5s, min = 8.3s, avg = 9.5s, dev = 0.8s //tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 13.6s Stats over 32 runs: max = 13.6s, min = 2.7s, avg = 8.5s, dev = 2.8s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 15.0s Stats over 32 runs: max = 15.0s, min = 3.3s, avg = 6.6s, dev = 3.1s //tensorflow/compiler/xla/tests:batch_normalization_test_cpu PASSED in 14.0s Stats over 40 runs: max = 14.0s, min = 9.9s, avg = 11.9s, dev = 1.2s //tensorflow/compiler/xla/tests:bfloat16_test_cpu PASSED in 9.6s Stats over 40 runs: max = 9.6s, min = 8.4s, avg = 8.9s, dev = 0.4s //tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu PASSED in 11.8s Stats over 40 runs: max = 11.8s, min = 8.3s, avg = 10.7s, dev = 0.7s //tensorflow/compiler/xla/tests:slice_test_cpu PASSED in 22.2s Stats over 40 runs: max = 22.2s, min = 8.7s, avg = 12.4s, dev = 2.6s //tensorflow/core/kernels:stochastic_cast_op_test PASSED in 1.5s Stats over 48 runs: max = 1.5s, min = 0.5s, avg = 0.7s, dev = 0.3s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 37.7s Stats over 50 runs: max = 37.7s, min = 16.3s, avg = 25.1s, dev = 6.4s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 39.9s Stats over 50 runs: max = 39.9s, min = 2.5s, avg = 9.4s, dev = 8.1s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 49.6s Stats over 50 runs: max = 49.6s, min = 3.1s, avg = 13.4s, dev = 9.7s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 12.2s Stats over 50 runs: max = 12.2s, min = 2.5s, avg = 4.3s, dev = 2.1s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 22.1s Stats over 50 runs: max = 22.1s, min = 2.6s, avg = 5.1s, dev = 3.9s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 12.2s Stats over 50 runs: max = 12.2s, min = 7.6s, avg = 9.8s, dev = 0.9s //tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu PASSED in 17.7s Stats over 50 runs: max = 17.7s, min = 9.9s, avg = 13.3s, dev = 1.5s //tensorflow/compiler/xla/tests:convolution_test_cpu PASSED in 19.7s Stats over 50 runs: max = 19.7s, min = 11.0s, avg = 14.7s, dev = 1.9s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 12.0s Stats over 50 runs: max = 12.0s, min = 3.6s, avg = 6.5s, dev = 2.0s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 6.1s Stats over 50 runs: max = 6.1s, min = 2.6s, avg = 3.8s, dev = 1.0s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 6.0s Stats over 50 runs: max = 6.0s, min = 2.7s, avg = 3.5s, dev = 0.8s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 22.8s Stats over 50 runs: max = 22.8s, min = 6.5s, avg = 12.1s, dev = 4.6s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 13.8s Stats over 50 runs: max = 13.8s, min = 2.9s, avg = 4.5s, dev = 1.8s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 10.4s Stats over 50 runs: max = 10.4s, min = 2.7s, avg = 4.3s, dev = 2.2s Executed 3769 out of 3769 tests: 3769 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.