==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8): 2023-04-27 06:42:15.070979: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.10.11: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testForInIterationEager I0427 06:42:19.760099 281473842639744 mesh_util.py:35] This is client 0 of 1 clients I0427 06:42:19.760321 281473842639744 mesh_util.py:36] Number of global CPU devices: 16 I0427 06:42:19.760482 281473842639744 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0427 06:42:19.761003 281473842639744 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0427 06:42:19.761188 281473842639744 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-04-27 06:42:20.149677: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_0' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_0}}]] 2023-04-27 06:42:20.283766: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:20.339430: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:20.390244: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:20.445767: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:20.488667: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:20.489433: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:20.556283: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:20.557031: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:20.626309: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:20.627051: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:20.686962: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:20.687789: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:20.774116: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:20.774843: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:20.886823: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:20.887557: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:20.973780: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:20.974503: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:21.095535: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:21.096317: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:21.153023: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:21.153756: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:21.233612: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:21.234335: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:21.354351: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:21.355073: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:21.460141: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:21.460927: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:21.597881: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:21.598683: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:21.708810: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:21.709598: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:21.786653: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:21.787461: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:21.861575: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-04-27 06:42:21.862352: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:22.238816: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:12] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): CANCELLED: Operation was cancelled [[{{node tf.StatefulPartitionedCall/eager_operation}}]] 2023-04-27 06:42:22.240468: E tensorflow/dtensor/cc/dtensor_device.cc:2168] Encountered error while executing function: CopyToMesh__func_7384779701639869167_5950845106898307211_6858324592425701659_1 for mesh : |batch=4,height=2,width=2|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|/job:localhost/replica:0/task:0/device:CPU:0,/job:localhost/replica:0/task:0/device:CPU:1,/job:localhost/replica:0/task:0/device:CPU:2,/job:localhost/replica:0/task:0/device:CPU:3,/job:localhost/replica:0/task:0/device:CPU:4,/job:localhost/replica:0/task:0/device:CPU:5,/job:localhost/replica:0/task:0/device:CPU:6,/job:localhost/replica:0/task:0/device:CPU:7,/job:localhost/replica:0/task:0/device:CPU:8,/job:localhost/replica:0/task:0/device:CPU:9,/job:localhost/replica:0/task:0/device:CPU:10,/job:localhost/replica:0/task:0/device:CPU:11,/job:localhost/replica:0/task:0/device:CPU:12,/job:localhost/replica:0/task:0/device:CPU:13,/job:localhost/replica:0/task:0/device:CPU:14,/job:localhost/replica:0/task:0/device:CPU:15 / error : {{function_node IteratorGetNext__func_12918752675103964384_12989052755378955192_1628789561242421788_0}} End of sequence [[{{node tf.StatefulPartitionedCall/eager_operation}}]] Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. 2023-04-27 06:42:22.246400: E tensorflow/dtensor/cc/dtensor_device.cc:2202] Error executing CopyToMesh {{function_node IteratorGetNext__func_12918752675103964384_12989052755378955192_1628789561242421788_0}} End of sequence [[{{node tf.StatefulPartitionedCall/eager_operation}}]] Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. INFO:tensorflow:time(__main__.DTensorDatasetTest.testForInIterationEager): 2.61s I0427 06:42:22.373171 281473842639744 test_util.py:2462] time(__main__.DTensorDatasetTest.testForInIterationEager): 2.61s [ FAILED ] DTensorDatasetTest.testForInIterationEager [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetGraph I0427 06:42:22.376702 281473842639744 mesh_util.py:35] This is client 0 of 1 clients I0427 06:42:22.376908 281473842639744 mesh_util.py:36] Number of global CPU devices: 16 I0427 06:42:22.377078 281473842639744 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0427 06:42:22.377547 281473842639744 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0427 06:42:22.377691 281473842639744 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-04-27 06:42:22.618809: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:22.703828: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:22.774656: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:22.847628: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:23.006175: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:23.007065: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:23.167245: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:23.168154: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:23.292780: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:23.293723: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:23.428387: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:23.429328: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:23.500241: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:23.501135: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:23.604959: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:23.605853: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:23.777813: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:23.778717: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:24.005438: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:24.006397: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:24.141919: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:24.142881: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:24.237547: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:24.238506: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:24.364751: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:24.365638: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:24.487123: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:24.488223: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:24.596467: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:24.597400: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:24.667509: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:24.668466: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:24.741142: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:24.742109: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:24.818044: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:24.818980: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:24.997534: I tensorflow/dtensor/cc/dtensor_device.cc:1548] DTensor cache key lookup missed for __inference_train_636. DTensor is (re-)computing its SPMD transformation. 2023-04-27 06:42:25.004589: I tensorflow/dtensor/cc/dtensor_device.cc:1617] DTensor cache key lookup missed for __inference_train_636. DTensor is (re-)computing its ExecutionFunctions. 2023-04-27 06:42:25.205128: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 3.72s I0427 06:42:26.096980 281473842639744 test_util.py:2462] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 3.72s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph [ RUN ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) I0427 06:42:26.098697 281473842639744 mesh_util.py:35] This is client 0 of 1 clients I0427 06:42:26.098881 281473842639744 mesh_util.py:36] Number of global CPU devices: 16 I0427 06:42:26.099039 281473842639744 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0427 06:42:26.099508 281473842639744 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0427 06:42:26.099654 281473842639744 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-04-27 06:42:26.353605: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:26.412661: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:26.413564: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:26.485113: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:26.486014: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:26.622663: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:26.623583: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:26.812854: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:26.813771: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:26.956593: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:26.957552: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:27.037151: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:27.038140: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:27.120068: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:27.121050: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:27.197334: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:27.198459: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:27.276245: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:27.277246: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:27.397177: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:27.398105: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:27.467168: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:27.468104: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:27.548198: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:27.549129: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:27.636973: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:27.637868: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:27.752515: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:27.753437: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:27.821322: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:27.822232: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:27.948472: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:27.949392: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:28.091416: I tensorflow/dtensor/cc/dtensor_device.cc:1548] DTensor cache key lookup missed for __inference_train_873. DTensor is (re-)computing its SPMD transformation. 2023-04-27 06:42:28.099747: I tensorflow/dtensor/cc/dtensor_device.cc:1617] DTensor cache key lookup missed for __inference_train_873. DTensor is (re-)computing its ExecutionFunctions. 2023-04-27 06:42:28.199707: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.93s I0427 06:42:29.027926 281473842639744 test_util.py:2462] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.93s [ OK ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) [ RUN ] DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) I0427 06:42:29.029570 281473842639744 mesh_util.py:35] This is client 0 of 1 clients I0427 06:42:29.029740 281473842639744 mesh_util.py:36] Number of global CPU devices: 16 I0427 06:42:29.029897 281473842639744 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0427 06:42:29.030359 281473842639744 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0427 06:42:29.030506 281473842639744 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-04-27 06:42:29.309074: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:29.451146: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:29.452068: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:29.585541: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:29.586510: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:29.659057: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:29.660024: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:29.817282: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:29.818277: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:29.918697: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:29.919718: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:30.039244: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:30.040190: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:30.146677: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:30.147576: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:30.221124: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:30.222087: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:30.309487: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:30.310471: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:30.438818: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:30.439738: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:30.649033: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:30.649995: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:30.733640: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-04-27 06:42:30.734593: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:30.894386: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:30.895306: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-04-27 06:42:31.095361: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:31.096329: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:31.192838: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:31.193807: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:31.268174: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:31.269131: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-04-27 06:42:31.357586: I tensorflow/dtensor/cc/dtensor_device.cc:1548] DTensor cache key lookup missed for __inference_train_1114. DTensor is (re-)computing its SPMD transformation. 2023-04-27 06:42:31.365113: I tensorflow/dtensor/cc/dtensor_device.cc:1617] DTensor cache key lookup missed for __inference_train_1114. DTensor is (re-)computing its ExecutionFunctions. 2023-04-27 06:42:31.526718: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 3.21s I0427 06:42:32.237653 281473842639744 test_util.py:2462] time(__main__.DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 3.21s [ OK ] DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) [ RUN ] DTensorIteratorSpecTest.testFromTensorList I0427 06:42:32.239321 281473842639744 mesh_util.py:35] This is client 0 of 1 clients I0427 06:42:32.239494 281473842639744 mesh_util.py:36] Number of global CPU devices: 8 I0427 06:42:32.239650 281473842639744 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0427 06:42:32.240011 281473842639744 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0427 06:42:32.240151 281473842639744 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7'] 2023-04-27 06:42:32.676984: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-04-27 06:42:32.731791: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:32.732686: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-04-27 06:42:32.816392: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:32.817160: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:32.876733: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-04-27 06:42:32.877565: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:32.963167: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:32.963988: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-04-27 06:42:33.024100: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:33.024878: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:33.127405: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:33.128239: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:33.193866: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-04-27 06:42:33.194715: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-04-27 06:42:33.260467: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-04-27 06:42:33.261295: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] INFO:tensorflow:time(__main__.DTensorIteratorSpecTest.testFromTensorList): 1.35s I0427 06:42:33.588395 281473842639744 test_util.py:2462] time(__main__.DTensorIteratorSpecTest.testFromTensorList): 1.35s [ OK ] DTensorIteratorSpecTest.testFromTensorList [ RUN ] InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4]) I0427 06:42:33.591280 281473842639744 mesh_util.py:35] This is client 0 of 1 clients I0427 06:42:33.591522 281473842639744 mesh_util.py:36] Number of global CPU devices: 16 I0427 06:42:33.591693 281473842639744 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3] [ 4 5] [ 6 7]] [[ 8 9] [10 11] [12 13] [14 15]]] I0427 06:42:33.592194 281473842639744 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0427 06:42:33.592345 281473842639744 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] INFO:tensorflow:time(__main__.InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4])): 0.0s I0427 06:42:33.593164 281473842639744 test_util.py:2462] time(__main__.InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4])): 0.0s [ OK ] InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4]) ====================================================================== ERROR: testForInIterationEager (__main__.DTensorDatasetTest) DTensorDatasetTest.testForInIterationEager testForInIterationEager(False) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/absl_py/absl/testing/parameterized.py", line 316, 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/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/input_util_test.py", line 186, in testForInIteration self.assertDTensorEqual(output, images_layout, d_output) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/test_util.py", line 303, in assertDTensorEqual unpacked = [t.numpy() for t in api.unpack(result_dtensor)] File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/api.py", line 352, in unpack return _dtensor_device().unpack(tensor) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/dtensor_device.py", line 255, in unpack raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_576078063855614077_13230101824050524202_2386512056599665587_2}} Function was cancelled before it was started ---------------------------------------------------------------------- Ran 6 tests in 13.835s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/python/distribute/failure_handling:failure_handler_test (shard 5 of 8): 2023-04-27 06:44:09.769195: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.10.11: /usr/local/bin/python3 [ RUN ] PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_checkpoint_strategyoption_OneDevice INFO:tensorflow:Start watcher for local signal. I0427 06:44:16.511066 281473343910784 failure_handling.py:674] Start watcher for local signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I0427 06:44:16.511413 281473343910784 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. Instructions for updating: Track steps using a tf.Variable saved in checkpoint instead. W0427 06:44:16.511654 281473343910784 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. Instructions for updating: Track steps using a tf.Variable saved in checkpoint instead. INFO:tensorflow:Start training at 0 I0427 06:44:16.511818 281473343910784 failure_handler_test.py:197] Start training at 0 WARNING:tensorflow:5 out of the last 5 calls to .distributed_train_step..train_step at 0xfffef2a15bd0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. W0427 06:44:17.230488 281473343910784 polymorphic_function.py:159] 5 out of the last 5 calls to .distributed_train_step..train_step at 0xfffef2a15bd0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. WARNING:tensorflow:6 out of the last 6 calls to .distributed_train_step..train_step at 0xfffef2a15900> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. W0427 06:44:17.276329 281473343910784 polymorphic_function.py:159] 6 out of the last 6 calls to .distributed_train_step..train_step at 0xfffef2a15900> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 I0427 06:44:17.579402 281473343910784 failure_handler_test.py:195] epoch 0 finished INFO:tensorflow:epoch 1 finished I0427 06:44:17.973518 281473343910784 failure_handler_test.py:195] epoch 1 finished INFO:tensorflow:epoch 2 finished I0427 06:44:18.228851 281473343910784 failure_handler_test.py:195] epoch 2 finished INFO:tensorflow:epoch 3 finished I0427 06:44:18.452470 281473343910784 failure_handler_test.py:195] epoch 3 finished INFO:tensorflow:epoch 4 finished I0427 06:44:18.742745 281473343910784 failure_handler_test.py:195] epoch 4 finished INFO:tensorflow:epoch 5 finished I0427 06:44:19.025830 281473343910784 failure_handler_test.py:195] epoch 5 finished INFO:tensorflow:sending sigterm I0427 06:44:19.366189 281470457278944 failure_handler_test.py:467] sending sigterm --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.10/logging/__init__.py", line 1100, in emit msg = self.format(record) File "/usr/lib/python3.10/logging/__init__.py", line 943, in format return fmt.format(record) File "/usr/lib/python3.10/logging/__init__.py", line 678, in format record.message = record.getMessage() File "/usr/lib/python3.10/logging/__init__.py", line 368, in getMessage msg = msg % self.args TypeError: not all arguments converted during string formatting Call stack: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 558, in test_util.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/test_util.py", line 138, in main multi_process_runner.test_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1455, in test_main multi_process_lib.test_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 167, in test_main test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/test.py", line 25, in main _test.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/benchmark.py", line 489, in benchmarks_main true_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run _run_main(main, args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.10/unittest/main.py", line 101, in __init__ self.runTests() File "/usr/lib/python3.10/unittest/main.py", line 271, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.10/unittest/runner.py", line 184, in run test(result) File "/usr/lib/python3.10/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.10/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.10/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.10/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.10/unittest/case.py", line 650, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.10/unittest/case.py", line 591, in run self._callTestMethod(testMethod) File "/usr/lib/python3.10/unittest/case.py", line 549, in _callTestMethod method() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated execute_test_method() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method test_method(**kwargs_to_pass) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 559, in decorator test_method(self, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 477, in test_grace_period_continue_training self.worker_fn(checkpoint_dir, cluster_spec, strategy_option, input_arg, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 229, in worker_fn preemption_handler.run(distributed_train_step, epoch, step) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 893, in run return self._run_for_multi_worker_mirrored( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 909, in _run_for_multi_worker_mirrored result = distributed_train_function(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 192, in distributed_train_step strategy.run(train_step) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/one_device_strategy.py", line 187, in run return super(OneDeviceStrategy, self).run(fn, args, kwargs, options) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/distribute_lib.py", line 1672, in run return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/distribute_lib.py", line 3249, in call_for_each_replica return self._call_for_each_replica(fn, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/one_device_strategy.py", line 399, in _call_for_each_replica return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/polymorphic_function/polymorphic_function.py", line 845, in __call__ result = self._call(*args, **kwds) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/polymorphic_function/polymorphic_function.py", line 917, in _call return self._concrete_variable_creation_fn._call_flat( # pylint: disable=protected-access File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/polymorphic_function/monomorphic_function.py", line 1342, in _call_flat return self._build_call_outputs(self._inference_function(*args)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/polymorphic_function/atomic_function.py", line 199, in __call__ outputs = self._bound_context.call_function( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 1457, in call_function outputs = execute.execute( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/execute.py", line 53, in quick_execute tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 1220, in _sigterm_handler_fn self._maybe_set_received_own_sigterm() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/tf_logging.py", line 204, in info get_logger().info(msg, *args, **kwargs) Message: 'Received termination notice.' Arguments: ('single_worker',) --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.10/logging/__init__.py", line 1100, in emit msg = self.format(record) File "/usr/lib/python3.10/logging/__init__.py", line 943, in format return fmt.format(record) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/logging/__init__.py", line 1025, in format return prefix + super(PythonFormatter, self).format(record) File "/usr/lib/python3.10/logging/__init__.py", line 678, in format record.message = record.getMessage() File "/usr/lib/python3.10/logging/__init__.py", line 368, in getMessage msg = msg % self.args TypeError: not all arguments converted during string formatting Call stack: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 558, in test_util.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/test_util.py", line 138, in main multi_process_runner.test_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1455, in test_main multi_process_lib.test_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 167, in test_main test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/test.py", line 25, in main _test.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/benchmark.py", line 489, in benchmarks_main true_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run _run_main(main, args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.10/unittest/main.py", line 101, in __init__ self.runTests() File "/usr/lib/python3.10/unittest/main.py", line 271, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.10/unittest/runner.py", line 184, in run test(result) File "/usr/lib/python3.10/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.10/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.10/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.10/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.10/unittest/case.py", line 650, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.10/unittest/case.py", line 591, in run self._callTestMethod(testMethod) File "/usr/lib/python3.10/unittest/case.py", line 549, in _callTestMethod method() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated execute_test_method() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method test_method(**kwargs_to_pass) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 559, in decorator test_method(self, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 477, in test_grace_period_continue_training self.worker_fn(checkpoint_dir, cluster_spec, strategy_option, input_arg, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 229, in worker_fn preemption_handler.run(distributed_train_step, epoch, step) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 893, in run return self._run_for_multi_worker_mirrored( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 909, in _run_for_multi_worker_mirrored result = distributed_train_function(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 192, in distributed_train_step strategy.run(train_step) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/one_device_strategy.py", line 187, in run return super(OneDeviceStrategy, self).run(fn, args, kwargs, options) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/distribute_lib.py", line 1672, in run return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/distribute_lib.py", line 3249, in call_for_each_replica return self._call_for_each_replica(fn, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/one_device_strategy.py", line 399, in _call_for_each_replica return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/polymorphic_function/polymorphic_function.py", line 845, in __call__ result = self._call(*args, **kwds) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/polymorphic_function/polymorphic_function.py", line 917, in _call return self._concrete_variable_creation_fn._call_flat( # pylint: disable=protected-access File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/polymorphic_function/monomorphic_function.py", line 1342, in _call_flat return self._build_call_outputs(self._inference_function(*args)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/polymorphic_function/atomic_function.py", line 199, in __call__ outputs = self._bound_context.call_function( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 1457, in call_function outputs = execute.execute( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/execute.py", line 53, in quick_execute tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 1220, in _sigterm_handler_fn self._maybe_set_received_own_sigterm() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/platform/tf_logging.py", line 204, in info get_logger().info(msg, *args, **kwargs) File "/usr/lib/python3.10/logging/__init__.py", line 1477, in info self._log(INFO, msg, args, **kwargs) File "/usr/lib/python3.10/logging/__init__.py", line 1624, in _log self.handle(record) File "/usr/lib/python3.10/logging/__init__.py", line 1634, in handle self.callHandlers(record) File "/usr/lib/python3.10/logging/__init__.py", line 1696, in callHandlers hdlr.handle(record) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/logging/__init__.py", line 988, in handle return self._current_handler.handle(record) File "/usr/lib/python3.10/logging/__init__.py", line 968, in handle self.emit(record) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/logging/__init__.py", line 925, in emit super(PythonHandler, self).emit(record) Message: 'Received termination notice.' Arguments: ('single_worker',) INFO:tensorflow:Termination caught in main thread on preempted worker I0427 06:44:19.416004 281473343910784 failure_handling.py:1159] Termination caught in main thread on preempted worker INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. I0427 06:44:19.451574 281473343910784 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp3yal6las/fh_ckpt I0427 06:44:19.607387 281473343910784 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp3yal6las/fh_ckpt INFO:tensorflow:Continue training for the grace period. I0427 06:44:19.607750 281473343910784 failure_handling.py:1134] Continue training for the grace period. INFO:tensorflow:epoch 6 finished I0427 06:44:19.634877 281473343910784 failure_handler_test.py:195] epoch 6 finished INFO:tensorflow:epoch 7 finished I0427 06:44:19.858291 281473343910784 failure_handler_test.py:195] epoch 7 finished INFO:tensorflow:Training finished. I0427 06:44:19.859052 281473343910784 failure_handler_test.py:245] Training finished. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_checkpoint_strategyoption_OneDevice): 3.5s I0427 06:44:19.860002 281473343910784 test_util.py:2462] time(__main__.PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_checkpoint_strategyoption_OneDevice): 3.5s [ OK ] PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_checkpoint_strategyoption_OneDevice [ RUN ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 18040 I0427 06:44:19.864654 281473343910784 test_util.py:3794] Using local port 18040 INFO:tensorflow:Using local port 20195 I0427 06:44:19.865104 281473343910784 test_util.py:3794] Using local port 20195 INFO:tensorflow:Using local port 23077 I0427 06:44:19.865510 281473343910784 test_util.py:3794] Using local port 23077 INFO:tensorflow:Using local port 18198 I0427 06:44:19.865910 281473343910784 test_util.py:3794] Using local port 18198 2023-04-27 06:44:21.030132: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2023-04-27 06:44:21.496775: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. INFO:tensorflow:Cluster starting. I0427 06:44:24.263852 281473343910784 failure_handler_test.py:297] Cluster starting. [worker-1]: I0427 06:44:24.418243 281473169453952 multi_process_runner.py:840] Subprocess with PID 1329260 (worker, 1) is now being started. [worker-0]: I0427 06:44:24.448326 281473169453952 multi_process_runner.py:840] Subprocess with PID 1328957 (worker, 0) is now being started. [worker-0]: I0427 06:44:24.448709 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18040", "localhost:20195", "localhost:23077", "localhost:18198"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0427 06:44:24.418569 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18040", "localhost:20195", "localhost:23077", "localhost:18198"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-1]: 2023-04-27 06:44:24.590772: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:20195 [worker-2]: I0427 06:44:24.596656 281473169453952 multi_process_runner.py:840] Subprocess with PID 1329282 (worker, 2) is now being started. [worker-0]: 2023-04-27 06:44:24.601124: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:18040 [worker-0]: 2023-04-27 06:44:24.634117: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 491079441180532526 [worker-1]: 2023-04-27 06:44:24.634809: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: I0427 06:44:24.597001 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18040", "localhost:20195", "localhost:23077", "localhost:18198"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-27 06:44:24.658874: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 13571286028827497927 [worker-0]: 2023-04-27 06:44:24.659178: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: I0427 06:44:24.661126 281473169453952 multi_process_runner.py:840] Subprocess with PID 1329902 (worker, 3) is now being started. [worker-3]: I0427 06:44:24.661506 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18040", "localhost:20195", "localhost:23077", "localhost:18198"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: 2023-04-27 06:44:24.728403: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:23077 [worker-0]: 2023-04-27 06:44:24.732132: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 2872719989535047888 [worker-2]: 2023-04-27 06:44:24.732713: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-27 06:44:24.835318: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:18198 [worker-0]: 2023-04-27 06:44:24.838763: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 6189306865987164662 [worker-3]: 2023-04-27 06:44:24.866791: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: I0427 06:44:24.870982 281473169453952 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]: 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-1]: I0427 06:44:24.907465 281473169453952 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]: I0427 06:44:24.889515 281473169453952 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]: I0427 06:44:24.934360 281473169453952 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]: I0427 06:44:25.225403 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0427 06:44:25.225865 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0427 06:44:25.226066 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, 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]: I0427 06:44:25.328704 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0427 06:44:25.329149 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0427 06:44:25.329361 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: I0427 06:44:25.357267 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0427 06:44:25.357693 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0427 06:44:25.357894 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0427 06:44:25.356962 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0427 06:44:25.370044 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0427 06:44:25.370320 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, 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:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0427 06:44:25.542162 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0427 06:44:25.541922 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-3]: I0427 06:44:25.542779 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0427 06:44:25.542976 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0427 06:44:25.543259 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:Start training at 0 [worker-3]: I0427 06:44:25.543414 281473169453952 failure_handler_test.py:197] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I0427 06:44:25.556520 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0427 06:44:25.564152 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0427 06:44:25.556937 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Instructions for updating: [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0427 06:44:25.576762 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I0427 06:44:25.577409 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0427 06:44:25.577590 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: W0427 06:44:25.557263 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: Instructions for updating: [worker-1]: Instructions for updating: [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: W0427 06:44:25.577847 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: INFO:tensorflow:Start training at 0 [worker-0]: Instructions for updating: [worker-1]: I0427 06:44:25.557433 281473169453952 failure_handler_test.py:197] Start training at 0 [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: INFO:tensorflow:Start training at 0 [worker-0]: I0427 06:44:25.577998 281473169453952 failure_handler_test.py:197] Start training at 0 [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I0427 06:44:25.606543 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0427 06:44:25.606830 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: W0427 06:44:25.607112 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:Start training at 0 [worker-2]: I0427 06:44:25.607271 281473169453952 failure_handler_test.py:197] Start training at 0 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0427 06:44:25.709453 281473169453952 cross_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]: I0427 06:44:25.740889 281473169453952 cross_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]: I0427 06:44:25.830238 281473169453952 cross_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]: I0427 06:44:25.853646 281473169453952 cross_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]: I0427 06:44:25.949064 281473169453952 cross_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]: I0427 06:44:25.952095 281473169453952 cross_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]: I0427 06:44:25.950195 281473169453952 cross_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]: I0427 06:44:25.960025 281473169453952 cross_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]: I0427 06:44:26.242156 281473169453952 cross_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]: I0427 06:44:26.235931 281473169453952 cross_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]: I0427 06:44:26.242465 281473169453952 cross_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]: I0427 06:44:26.261353 281473169453952 cross_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]: I0427 06:44:26.321840 281473169453952 cross_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]: I0427 06:44:26.328854 281473169453952 cross_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]: I0427 06:44:26.334423 281473169453952 cross_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]: I0427 06:44:26.322550 281473169453952 cross_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]: I0427 06:44:26.416868 281473169453952 cross_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]: I0427 06:44:26.425178 281473169453952 cross_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]: I0427 06:44:26.431370 281473169453952 cross_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]: I0427 06:44:26.436627 281473169453952 cross_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 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:26.502129 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: I0427 06:44:26.511719 281473169453952 cross_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 0xffff9106ee60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:26.513839 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9106ee60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:26.514281 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:26.521877 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: I0427 06:44:26.528341 281473169453952 cross_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]: I0427 06:44:26.551166 281473169453952 cross_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]: I0427 06:44:26.557611 281473169453952 cross_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 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9106f760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:26.649359 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9106f760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:26.647508 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:26.656496 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:26.666816 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: I0427 06:44:26.662684 281473169453952 cross_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]: I0427 06:44:26.667154 281473169453952 cross_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]: I0427 06:44:26.676278 281473169453952 cross_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]: I0427 06:44:26.668322 281473169453952 cross_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]: I0427 06:44:26.842170 281473169453952 cross_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]: I0427 06:44:26.842168 281473169453952 cross_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]: I0427 06:44:26.846108 281473169453952 cross_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]: I0427 06:44:26.846097 281473169453952 cross_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-3]: I0427 06:44:26.932671 281473169453952 cross_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]: I0427 06:44:26.932836 281473169453952 cross_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]: I0427 06:44:26.950931 281473169453952 cross_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]: I0427 06:44:26.954966 281473169453952 cross_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]: I0427 06:44:27.048298 281473169453952 cross_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]: I0427 06:44:27.049046 281473169453952 cross_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]: I0427 06:44:27.045643 281473169453952 cross_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]: I0427 06:44:27.069456 281473169453952 cross_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]: I0427 06:44:27.145702 281473169453952 cross_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]: I0427 06:44:27.158094 281473169453952 cross_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]: I0427 06:44:27.173157 281473169453952 cross_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]: I0427 06:44:27.191411 281473169453952 cross_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]: I0427 06:44:27.243034 281473169453952 cross_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]: I0427 06:44:27.243393 281473169453952 cross_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]: I0427 06:44:27.245105 281473169453952 cross_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]: I0427 06:44:27.266968 281473169453952 cross_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]: I0427 06:44:27.345789 281473169453952 cross_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 = 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06:44:27.684620 281473169453952 cross_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]: I0427 06:44:27.699432 281473169453952 cross_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]: I0427 06:44:27.716588 281473169453952 cross_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]: 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termination notice. [worker-2]: I0427 06:44:30.600710 281473169453952 failure_handling.py:710] Member 2 has received termination notice. [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]: I0427 06:44:30.621031 281473169453952 cross_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:Termination caught in main thread on preempted worker [worker-2]: I0427 06:44:30.665730 281473169453952 failure_handling.py:1159] Termination caught in main thread on preempted worker [worker-2]: INFO:tensorflow:RUN_TO_CHECKPOINT set to 36 [worker-2]: I0427 06:44:30.670439 281473169453952 failure_handling.py:1168] RUN_TO_CHECKPOINT set to 36 [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 0 received [worker-2]: I0427 06:44:30.673488 281473169453952 failure_handling.py:1177] Sigterm acknowledgement from replica 0 received [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged [worker-2]: I0427 06:44:30.673739 281449122886112 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:30.675038 281473169453952 cross_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]: I0427 06:44:30.674442 281473169453952 cross_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]: I0427 06:44:30.674356 281473169453952 cross_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:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-0]: I0427 06:44:30.687279 281449743774176 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged [worker-3]: I0427 06:44:30.695569 281447621128672 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 1 received [worker-2]: I0427 06:44:30.740661 281473169453952 failure_handling.py:1177] Sigterm acknowledgement from replica 1 received [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-1]: I0427 06:44:30.742200 281449928192480 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 2 received [worker-2]: I0427 06:44:30.744017 281473169453952 failure_handling.py:1177] Sigterm acknowledgement from replica 2 received [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 3 received [worker-2]: I0427 06:44:30.744943 281473169453952 failure_handling.py:1177] Sigterm acknowledgement from replica 3 received [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:30.754271 281473169453952 cross_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:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-0]: I0427 06:44:30.805483 281473169453952 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: I0427 06:44:30.808163 281473169453952 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-3]: I0427 06:44:30.806641 281473169453952 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: I0427 06:44:30.805710 281473169453952 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp_m_etq4l/workertemp_2/fh_ckpt [worker-3]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp_m_etq4l/workertemp_3/fh_ckpt [worker-2]: I0427 06:44:30.874085 281473169453952 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp_m_etq4l/workertemp_2/fh_ckpt [worker-3]: I0427 06:44:30.874086 281473169453952 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp_m_etq4l/workertemp_3/fh_ckpt [worker-3]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-0]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp_m_etq4l/fh_ckpt [worker-2]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: I0427 06:44:30.875576 281473169453952 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-0]: I0427 06:44:30.875715 281473169453952 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp_m_etq4l/fh_ckpt [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-2]: I0427 06:44:30.875788 281473169453952 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-3]: I0427 06:44:30.875788 281473169453952 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-0]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-2]: I0427 06:44:30.875991 281473169453952 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-0]: I0427 06:44:30.877631 281473169453952 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-0]: I0427 06:44:30.877837 281473169453952 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp_m_etq4l/workertemp_1/fh_ckpt [worker-1]: I0427 06:44:30.913222 281473169453952 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/e874e4537dc68e6784aaca6594115ad2x2qjs78q/tmp_m_etq4l/workertemp_1/fh_ckpt [worker-1]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-1]: I0427 06:44:30.921170 281473169453952 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: I0427 06:44:30.921422 281473169453952 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. INFO:tensorflow:restarting workers I0427 06:44:32.602631 281473343910784 failure_handler_test.py:309] restarting workers [worker-0]: I0427 06:44:32.642072 281473169453952 multi_process_runner.py:840] Subprocess with PID 1394002 (worker, 0) is now being started. [worker-0]: I0427 06:44:32.642410 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18040", "localhost:20195", "localhost:23077", "localhost:18198"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' INFO:tensorflow:workers restarted I0427 06:44:32.644493 281473343910784 failure_handler_test.py:313] workers restarted [worker-1]: I0427 06:44:32.653041 281473169453952 multi_process_runner.py:840] Subprocess with PID 1394071 (worker, 1) is now being started. [worker-1]: I0427 06:44:32.653392 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18040", "localhost:20195", "localhost:23077", "localhost:18198"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-3]: I0427 06:44:32.673637 281473169453952 multi_process_runner.py:840] Subprocess with PID 1394396 (worker, 3) is now being started. [worker-3]: I0427 06:44:32.673972 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18040", "localhost:20195", "localhost:23077", "localhost:18198"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-27 06:44:32.676383: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:18040 [worker-2]: I0427 06:44:32.667387 281473169453952 multi_process_runner.py:840] Subprocess with PID 1394210 (worker, 2) is now being started. [worker-2]: I0427 06:44:32.667914 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18040", "localhost:20195", "localhost:23077", "localhost:18198"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-1]: 2023-04-27 06:44:32.687695: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:20195 [worker-2]: 2023-04-27 06:44:32.703782: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:23077 [worker-0]: 2023-04-27 06:44:32.703796: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 8871477846266277784 [worker-1]: 2023-04-27 06:44:32.704303: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-27 06:44:32.709366: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:18198 [worker-0]: 2023-04-27 06:44:32.710324: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 457615818485046430 [worker-0]: 2023-04-27 06:44:32.710546: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-27 06:44:32.714008: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 14137970202348188610 [worker-3]: 2023-04-27 06:44:32.716081: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-27 06:44:32.731488: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 14419039386629476616 [worker-2]: 2023-04-27 06:44:32.731722: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-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]: I0427 06:44:32.733531 281473169453952 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]: I0427 06:44:32.733535 281473169453952 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]: I0427 06:44:32.733549 281473169453952 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]: I0427 06:44:32.735346 281473169453952 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-3]: I0427 06:44:32.793855 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0427 06:44:32.794278 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0427 06:44:32.794468 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0427 06:44:32.795736 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0427 06:44:32.796242 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0427 06:44:32.796438 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, 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-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: I0427 06:44:32.802595 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-2]: I0427 06:44:32.801997 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: I0427 06:44:32.803020 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0427 06:44:32.803214 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0427 06:44:32.802530 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0427 06:44:32.802733 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18040', 'localhost:20195', 'localhost:23077', 'localhost:18198']}, 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:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0427 06:44:32.872280 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: I0427 06:44:32.872286 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0427 06:44:32.872280 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I0427 06:44:32.873170 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-0]: I0427 06:44:32.872862 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-2]: I0427 06:44:32.873278 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0427 06:44:32.872854 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I0427 06:44:32.873370 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: I0427 06:44:32.873050 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: I0427 06:44:32.873050 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: I0427 06:44:32.873987 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-1]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Instructions for updating: [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: I0427 06:44:32.874202 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: W0427 06:44:32.873289 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: W0427 06:44:32.873778 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: Instructions for updating: [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Instructions for updating: [worker-2]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:Start training at 36 [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: INFO:tensorflow:Start training at 36 [worker-3]: I0427 06:44:32.873440 281473169453952 failure_handler_test.py:197] Start training at 36 [worker-1]: I0427 06:44:32.873951 281473169453952 failure_handler_test.py:197] Start training at 36 [worker-2]: W0427 06:44:32.874485 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:training restarted [worker-1]: INFO:tensorflow:training restarted [worker-2]: Instructions for updating: [worker-0]: W0427 06:44:32.873293 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: I0427 06:44:32.879415 281473169453952 failure_handler_test.py:207] training restarted [worker-0]: Instructions for updating: [worker-1]: I0427 06:44:32.882624 281473169453952 failure_handler_test.py:207] training restarted [worker-2]: INFO:tensorflow:Start training at 36 [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: I0427 06:44:32.874645 281473169453952 failure_handler_test.py:197] Start training at 36 [worker-0]: INFO:tensorflow:Start training at 36 [worker-2]: INFO:tensorflow:training restarted [worker-0]: I0427 06:44:32.873447 281473169453952 failure_handler_test.py:197] Start training at 36 [worker-2]: I0427 06:44:32.883050 281473169453952 failure_handler_test.py:207] training restarted [worker-0]: INFO:tensorflow:training restarted [worker-0]: I0427 06:44:32.881373 281473169453952 failure_handler_test.py:207] training restarted [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:33.020890 281473169453952 cross_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]: I0427 06:44:33.025716 281473169453952 cross_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]: I0427 06:44:33.028057 281473169453952 cross_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]: I0427 06:44:33.029036 281473169453952 cross_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-3]: I0427 06:44:33.114512 281473169453952 cross_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]: I0427 06:44:33.114667 281473169453952 cross_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]: I0427 06:44:33.116744 281473169453952 cross_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]: I0427 06:44:33.119917 281473169453952 cross_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]: I0427 06:44:33.175973 281473169453952 cross_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]: I0427 06:44:33.176832 281473169453952 cross_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]: I0427 06:44:33.177516 281473169453952 cross_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]: I0427 06:44:33.177585 281473169453952 cross_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]: I0427 06:44:33.229277 281473169453952 cross_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]: I0427 06:44:33.229470 281473169453952 cross_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]: I0427 06:44:33.230251 281473169453952 cross_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]: I0427 06:44:33.229665 281473169453952 cross_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]: I0427 06:44:33.280572 281473169453952 cross_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]: I0427 06:44:33.281374 281473169453952 cross_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]: I0427 06:44:33.281822 281473169453952 cross_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]: I0427 06:44:33.282122 281473169453952 cross_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 0xffff9107aef0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9107aef0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9107aef0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9107aef0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:33.323905 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9107aef0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:33.323998 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9107aef0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:33.324144 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9107aef0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:33.324234 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9107aef0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:33.332370 281473169453952 cross_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]: I0427 06:44:33.332424 281473169453952 cross_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]: I0427 06:44:33.334058 281473169453952 cross_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]: I0427 06:44:33.334177 281473169453952 cross_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 0xffff9107b7f0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9107b7f0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9107b7f0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9107b7f0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:33.376685 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9107b7f0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:33.376930 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9107b7f0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:33.376814 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9107b7f0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:33.377050 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9107b7f0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: I0427 06:44:33.385207 281473169453952 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:33.386330 281473169453952 cross_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]: I0427 06:44:33.386649 281473169453952 cross_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]: I0427 06:44:33.386803 281473169453952 cross_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]: I0427 06:44:33.438238 281473169453952 cross_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]: I0427 06:44:33.438391 281473169453952 cross_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]: I0427 06:44:33.439798 281473169453952 cross_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]: I0427 06:44:33.440133 281473169453952 cross_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]: I0427 06:44:33.492962 281473169453952 cross_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]: I0427 06:44:33.494173 281473169453952 cross_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 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= 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0427 06:44:33.653248 281473169453952 cross_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]: I0427 06:44:33.653137 281473169453952 cross_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]: I0427 06:44:33.653667 281473169453952 cross_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]: I0427 06:44:33.653478 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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06:44:33.704281 281473169453952 cross_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]: I0427 06:44:33.704354 281473169453952 cross_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]: I0427 06:44:33.704556 281473169453952 cross_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]: I0427 06:44:33.754284 281473169453952 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-0]: I0427 06:44:34.932150 281473169453952 cross_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]: I0427 06:44:34.932186 281473169453952 cross_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]: I0427 06:44:34.981952 281473169453952 cross_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, 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= 1 [worker-2]: I0427 06:44:35.045858 281473169453952 cross_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]: I0427 06:44:35.046943 281473169453952 cross_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]: I0427 06:44:35.097587 281473169453952 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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06:44:35.098958 281473169453952 cross_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]: I0427 06:44:35.148307 281473169453952 cross_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]: I0427 06:44:35.149021 281473169453952 cross_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]: 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4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:35.303802 281473169453952 cross_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]: I0427 06:44:35.303894 281473169453952 cross_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]: I0427 06:44:35.304706 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, 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CommunicationImplementation.AUTO, num_packs = 1 [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]: I0427 06:44:35.353968 281473169453952 cross_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]: I0427 06:44:35.354151 281473169453952 cross_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-3]: I0427 06:44:35.400951 281473169453952 cross_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]: I0427 06:44:35.401096 281473169453952 cross_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]: I0427 06:44:35.401646 281473169453952 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-3]: I0427 06:44:35.448661 281473169453952 cross_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]: I0427 06:44:35.449166 281473169453952 cross_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]: I0427 06:44:35.449426 281473169453952 cross_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]: I0427 06:44:35.497138 281473169453952 cross_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]: I0427 06:44:35.497542 281473169453952 cross_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]: I0427 06:44:35.498161 281473169453952 cross_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]: I0427 06:44:35.499139 281473169453952 cross_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]: I0427 06:44:35.545946 281473169453952 cross_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]: I0427 06:44:35.547159 281473169453952 cross_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]: I0427 06:44:35.548423 281473169453952 cross_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]: I0427 06:44:35.549432 281473169453952 cross_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]: 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[worker-1]: I0427 06:44:36.256007 281473169453952 cross_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]: I0427 06:44:36.255943 281473169453952 cross_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]: I0427 06:44:36.256101 281473169453952 cross_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]: I0427 06:44:36.304818 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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= 1 [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]: I0427 06:44:36.452045 281473169453952 cross_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]: I0427 06:44:36.452043 281473169453952 cross_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]: I0427 06:44:36.452661 281473169453952 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-2]: I0427 06:44:36.500101 281473169453952 cross_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]: I0427 06:44:36.500587 281473169453952 cross_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 I0427 06:44:37.619049 281473343910784 multi_process_runner.py:646] worker-0 exit code: 0 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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281473169453952 cross_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:Training finished. [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0427 06:44:36.837289 281473169453952 cross_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]: I0427 06:44:36.836996 281473169453952 cross_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]: I0427 06:44:37.415432 281473169453952 failure_handler_test.py:245] Training 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]: I0427 06:44:36.883806 281473169453952 cross_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]: I0427 06:44:36.837691 281473169453952 cross_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]: I0427 06:44:36.884744 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs 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1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:37.157592 281473169453952 cross_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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:37.113798 281473169453952 cross_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]: I0427 06:44:37.157264 281473169453952 cross_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]: I0427 06:44:37.201080 281473169453952 cross_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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:37.157244 281473169453952 cross_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]: I0427 06:44:37.200753 281473169453952 cross_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]: I0427 06:44:37.246180 281473169453952 cross_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]: I0427 06:44:37.245735 281473169453952 cross_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]: I0427 06:44:37.288692 281473169453952 cross_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]: I0427 06:44:37.201152 281473169453952 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:37.289020 281473169453952 cross_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]: I0427 06:44:37.244512 281473169453952 cross_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]: I0427 06:44:37.334012 281473169453952 cross_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]: I0427 06:44:37.290731 281473169453952 cross_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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:37.334009 281473169453952 cross_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]: I0427 06:44:37.377477 281473169453952 cross_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]: I0427 06:44:37.377662 281473169453952 cross_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 7 finished [worker-2]: INFO:tensorflow:epoch 7 finished [worker-1]: I0427 06:44:37.334368 281473169453952 cross_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]: I0427 06:44:37.415027 281473169453952 failure_handler_test.py:195] epoch 7 finished [worker-3]: I0427 06:44:37.414674 281473169453952 failure_handler_test.py:195] epoch 7 finished [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-1]: I0427 06:44:37.377428 281473169453952 cross_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]: I0427 06:44:37.415308 281473169453952 failure_handler_test.py:245] Training finished. [worker-2]: I0427 06:44:37.415992 281473169453952 failure_handler_test.py:245] Training finished. [worker-1]: INFO:tensorflow:epoch 7 finished [worker-1]: I0427 06:44:37.414980 281473169453952 failure_handler_test.py:195] epoch 7 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0427 06:44:37.415847 281473169453952 failure_handler_test.py:245] Training finished. I0427 06:44:39.377404 281473343910784 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker): 19.8s I0427 06:44:39.659777 281473343910784 test_util.py:2462] time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker): 19.8s [ OK ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker [ RUN ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 20614 I0427 06:44:39.662147 281473343910784 test_util.py:3794] Using local port 20614 INFO:tensorflow:Using local port 20965 I0427 06:44:39.662689 281473343910784 test_util.py:3794] Using local port 20965 INFO:tensorflow:Using local port 24639 I0427 06:44:39.663113 281473343910784 test_util.py:3794] Using local port 24639 INFO:tensorflow:Using local port 24470 I0427 06:44:39.663518 281473343910784 test_util.py:3794] Using local port 24470 INFO:tensorflow:Cluster starting. I0427 06:44:39.722492 281473343910784 failure_handler_test.py:297] Cluster starting. [worker-0]: I0427 06:44:39.799825 281473169453952 multi_process_runner.py:840] Subprocess with PID 1408395 (worker, 0) is now being started. [worker-0]: I0427 06:44:39.800190 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20614", "localhost:20965", "localhost:24639", "localhost:24470"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0427 06:44:39.811588 281473169453952 multi_process_runner.py:840] Subprocess with PID 1408545 (worker, 1) is now being started. [worker-1]: I0427 06:44:39.811984 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20614", "localhost:20965", "localhost:24639", "localhost:24470"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0427 06:44:39.828494 281473169453952 multi_process_runner.py:840] Subprocess with PID 1408978 (worker, 2) is now being started. [worker-2]: I0427 06:44:39.828908 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20614", "localhost:20965", "localhost:24639", "localhost:24470"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-27 06:44:39.837065: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:20614 [worker-1]: 2023-04-27 06:44:39.846516: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:20965 [worker-3]: I0427 06:44:39.847135 281473169453952 multi_process_runner.py:840] Subprocess with PID 1409256 (worker, 3) is now being started. [worker-0]: 2023-04-27 06:44:39.848061: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 4799751806169283493 [worker-0]: 2023-04-27 06:44:39.848287: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: I0427 06:44:39.847541 281473169453952 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20614", "localhost:20965", "localhost:24639", "localhost:24470"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-27 06:44:39.858517: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 6013213139915853032 [worker-1]: 2023-04-27 06:44:39.858748: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: 2023-04-27 06:44:39.864675: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:24639 [worker-0]: 2023-04-27 06:44:39.880891: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 3817101515326823089 [worker-2]: 2023-04-27 06:44:39.881176: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-27 06:44:39.881947: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:449] Started server with target: grpc://localhost:24470 [worker-0]: 2023-04-27 06:44:39.967785: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 17963657807257423468 [worker-3]: 2023-04-27 06:44:39.968158: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-1]: I0427 06:44:39.977994 281473169453952 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]: I0427 06:44:39.987055 281473169453952 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]: I0427 06:44:39.978035 281473169453952 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]: 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]: I0427 06:44:40.018401 281473169453952 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: I0427 06:44:40.052402 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0427 06:44:40.052937 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20614', 'localhost:20965', 'localhost:24639', 'localhost:24470']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0427 06:44:40.053143 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20614', 'localhost:20965', 'localhost:24639', 'localhost:24470']}, 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]: I0427 06:44:40.109698 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0427 06:44:40.110225 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20614', 'localhost:20965', 'localhost:24639', 'localhost:24470']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0427 06:44:40.110426 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20614', 'localhost:20965', 'localhost:24639', 'localhost:24470']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0427 06:44:40.118044 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0427 06:44:40.119229 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20614', 'localhost:20965', 'localhost:24639', 'localhost:24470']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0427 06:44:40.119910 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20614', 'localhost:20965', 'localhost:24639', 'localhost:24470']}, 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]: I0427 06:44:40.153607 281473169453952 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0427 06:44:40.154150 281473169453952 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20614', 'localhost:20965', 'localhost:24639', 'localhost:24470']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0427 06:44:40.154348 281473169453952 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20614', 'localhost:20965', 'localhost:24639', 'localhost:24470']}, 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]: I0427 06:44:40.217935 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I0427 06:44:40.218537 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0427 06:44:40.218721 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: Instructions for updating: [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: W0427 06:44:40.218959 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: Instructions for updating: [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: I0427 06:44:40.220948 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start training at 0 [worker-0]: I0427 06:44:40.219110 281473169453952 failure_handler_test.py:197] Start training at 0 [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I0427 06:44:40.226917 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0427 06:44:40.230124 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0427 06:44:40.230133 281473169453952 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I0427 06:44:40.230810 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-2]: I0427 06:44:40.227301 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: I0427 06:44:40.231009 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: Instructions for updating: [worker-1]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Instructions for updating: [worker-2]: W0427 06:44:40.227605 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: Instructions for updating: [worker-1]: W0427 06:44:40.231281 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Instructions for updating: [worker-2]: INFO:tensorflow:Start training at 0 [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: I0427 06:44:40.227768 281473169453952 failure_handler_test.py:197] Start training at 0 [worker-1]: INFO:tensorflow:Start training at 0 [worker-1]: I0427 06:44:40.231440 281473169453952 failure_handler_test.py:197] Start training at 0 [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-3]: I0427 06:44:40.237577 281473169453952 failure_handling.py:674] Start watcher for local signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0427 06:44:40.237960 281473169453952 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0427 06:44:40.238259 281473169453952 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:Start training at 0 [worker-3]: I0427 06:44:40.238421 281473169453952 failure_handler_test.py:197] Start training at 0 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:40.470589 281473169453952 cross_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]: I0427 06:44:40.471467 281473169453952 cross_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]: I0427 06:44:40.481023 281473169453952 cross_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]: I0427 06:44:40.494536 281473169453952 cross_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]: I0427 06:44:40.611660 281473169453952 cross_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]: I0427 06:44:40.640848 281473169453952 cross_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]: I0427 06:44:40.630662 281473169453952 cross_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]: I0427 06:44:40.810838 281473169453952 cross_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]: I0427 06:44:40.936925 281473169453952 cross_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]: I0427 06:44:40.941876 281473169453952 cross_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]: I0427 06:44:40.970994 281473169453952 cross_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]: I0427 06:44:40.989958 281473169453952 cross_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-1]: I0427 06:44:41.045059 281473169453952 cross_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]: I0427 06:44:41.043872 281473169453952 cross_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]: I0427 06:44:41.043314 281473169453952 cross_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]: I0427 06:44:41.053871 281473169453952 cross_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]: I0427 06:44:41.117898 281473169453952 cross_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]: I0427 06:44:41.117717 281473169453952 cross_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]: I0427 06:44:41.125972 281473169453952 cross_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]: I0427 06:44:41.128785 281473169453952 cross_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 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:41.189086 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:41.197871 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: I0427 06:44:41.197962 281473169453952 cross_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 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:41.202808 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9106ae60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9106ee60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:41.202635 281473169453952 polymorphic_function.py:159] 5 out of the last 5 calls to .wrapped_fn at 0xffff9106ee60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: I0427 06:44:41.207797 281473169453952 cross_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]: I0427 06:44:41.212126 281473169453952 cross_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]: I0427 06:44:41.213625 281473169453952 cross_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 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:41.276877 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9106f760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:41.286370 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9106f760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: I0427 06:44:41.287019 281473169453952 cross_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]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: W0427 06:44:41.290812 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: W0427 06:44:41.296619 281473169453952 polymorphic_function.py:159] 6 out of the last 6 calls to .wrapped_fn at 0xffff9106b760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please 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]: I0427 06:44:41.296627 281473169453952 cross_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]: I0427 06:44:41.301270 281473169453952 cross_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]: I0427 06:44:41.321266 281473169453952 cross_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]: I0427 06:44:41.375816 281473169453952 cross_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]: I0427 06:44:41.378427 281473169453952 cross_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]: I0427 06:44:41.401403 281473169453952 cross_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]: I0427 06:44:41.401296 281473169453952 cross_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]: I0427 06:44:41.540460 281473169453952 cross_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]: I0427 06:44:41.548511 281473169453952 cross_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]: I0427 06:44:41.550671 281473169453952 cross_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]: I0427 06:44:41.571945 281473169453952 cross_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]: I0427 06:44:41.691587 281473169453952 cross_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]: I0427 06:44:41.690459 281473169453952 cross_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]: I0427 06:44:41.706078 281473169453952 cross_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]: I0427 06:44:41.711606 281473169453952 cross_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]: I0427 06:44:41.760158 281473169453952 cross_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]: I0427 06:44:41.760448 281473169453952 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:41.760926 281473169453952 cross_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]: I0427 06:44:41.761018 281473169453952 cross_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]: I0427 06:44:41.814733 281473169453952 cross_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]: I0427 06:44:41.816715 281473169453952 cross_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]: I0427 06:44:41.816932 281473169453952 cross_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]: I0427 06:44:41.816220 281473169453952 cross_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]: I0427 06:44:41.886959 281473169453952 cross_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]: I0427 06:44:41.910780 281473169453952 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:41.933656 281473169453952 cross_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]: I0427 06:44:41.927268 281473169453952 cross_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]: I0427 06:44:42.037986 281473169453952 cross_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]: I0427 06:44:42.043269 281473169453952 cross_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]: I0427 06:44:42.038198 281473169453952 cross_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]: I0427 06:44:42.084178 281473169453952 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0427 06:44:42.134817 281473169453952 cross_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]: I0427 06:44:42.135545 281473169453952 cross_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]: I0427 06:44:42.135468 281473169453952 cross_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]: I0427 06:44:42.135127 281473169453952 cross_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 0 finished [worker-3]: I0427 06:44:42.195905 281473169453952 failure_handler_test.py:195] epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-1]: I0427 06:44:42.197759 281473169453952 failure_handler_test.py:195] 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]: I0427 06:44:42.205755 281473169453952 cross_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 0 finished [worker-0]: I0427 06:44:42.194886 281473169453952 failure_handler_test.py:195] epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:42.227047 281473169453952 failure_handler_test.py:195] epoch 0 finished [worker-1]: I0427 06:44:42.228804 281473169453952 cross_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]: I0427 06:44:42.233556 281473169453952 cross_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]: I0427 06:44:42.281043 281473169453952 cross_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]: I0427 06:44:42.407660 281473169453952 cross_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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0427 06:44:42.438201 281473169453952 cross_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]: I0427 06:44:42.418080 281473169453952 cross_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]: I0427 06:44:42.415049 281473169453952 cross_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]: I0427 06:44:42.505962 281473169453952 cross_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]: I0427 06:44:42.506160 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[worker-0]: I0427 06:44:43.614799 281473169453952 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0427 06:44:43.667562 281473169453952 cross_device_ops.py:1152] Collective 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num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:43.843634 281473169453952 cross_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]: I0427 06:44:43.855610 281473169453952 cross_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]: I0427 06:44:43.843136 281473169453952 cross_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-3]: I0427 06:44:43.909377 281473169453952 cross_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]: I0427 06:44:43.909490 281473169453952 cross_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]: I0427 06:44:43.910743 281473169453952 cross_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]: I0427 06:44:43.909934 281473169453952 cross_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]: I0427 06:44:43.971790 281473169453952 cross_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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0427 06:44:43.975018 281473169453952 cross_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]: I0427 06:44:43.986207 281473169453952 cross_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]: I0427 06:44:43.993220 281473169453952 cross_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-3]: I0427 06:44:44.052598 281473169453952 cross_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-2]: I0427 06:44:44.053082 281473169453952 cross_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]: I0427 06:44:44.056225 281473169453952 cross_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]: I0427 06:44:44.055294 281473169453952 cross_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]: I0427 06:44:44.105571 281473169453952 cross_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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:44.116579 281473169453952 cross_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]: I0427 06:44:44.116709 281473169453952 cross_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]: I0427 06:44:44.116655 281473169453952 cross_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-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]: I0427 06:44:44.177952 281473169453952 cross_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]: I0427 06:44:44.177765 281473169453952 cross_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]: I0427 06:44:44.194327 281473169453952 cross_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]: I0427 06:44:44.177959 281473169453952 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0427 06:44:44.246567 281473169453952 cross_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]: I0427 06:44:44.246696 281473169453952 cross_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]: I0427 06:44:44.248858 281473169453952 cross_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]: I0427 06:44:44.248682 281473169453952 cross_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 INFO:tensorflow:sending sigterm [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 I0427 06:44:44.817587 281473343910784 failure_handler_test.py:302] sending sigterm INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker): 14.58s [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 I0427 06:44:54.243102 281473343910784 test_util.py:2462] time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker): 14.58s [worker-3]: I0427 06:44:44.296726 281473169453952 cross_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]: I0427 06:44:44.298734 281473169453952 cross_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]: I0427 06:44:44.345559 281473169453952 cross_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]: I0427 06:44:44.297005 281473169453952 cross_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]: I0427 06:44:44.393670 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [ FAILED ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker [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]: I0427 06:44:44.441787 281473169453952 cross_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 ERROR: test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker (__main__.PreemptionCheckpointTest) PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker(api_wrapping_train=True, input_arg='checkpoint', strategy_option='MWMS_multi_worker') ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated execute_test_method() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method test_method(**kwargs_to_pass) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 559, in decorator test_method(self, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 304, in test_preemption_checkpointing os.kill(mpr.get_process_id('worker', killed_worker), signal.SIGTERM) ProcessLookupError: [Errno 3] No such process ---------------------------------------------------------------------- Ran 3 tests in 37.900s FAILED (errors=1) [worker-1]: I0427 06:44:44.345950 281473169453952 cross_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-3]: I0427 06:44:44.344141 281473169453952 cross_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]: I0427 06:44:44.489605 281473169453952 cross_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]: I0427 06:44:44.394345 281473169453952 cross_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-0]: I0427 06:44:44.533966 281473169453952 cross_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]: I0427 06:44:44.440383 281473169453952 cross_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]: I0427 06:44:44.392846 281473169453952 cross_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-3]: I0427 06:44:44.440456 281473169453952 cross_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]: I0427 06:44:44.488580 281473169453952 cross_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]: I0427 06:44:44.488184 281473169453952 cross_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-3]: I0427 06:44:44.533625 281473169453952 cross_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]: I0427 06:44:44.534156 281473169453952 cross_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]: I0427 06:44:44.579378 281473169453952 cross_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]: I0427 06:44:44.579296 281473169453952 cross_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]: I0427 06:44:44.579475 281473169453952 cross_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]: I0427 06:44:44.626840 281473169453952 cross_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:epoch 2 finished [worker-3]: I0427 06:44:44.624638 281473169453952 cross_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]: I0427 06:44:44.627005 281473169453952 cross_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]: I0427 06:44:44.664282 281473169453952 failure_handler_test.py:195] epoch 2 finished [worker-3]: INFO:tensorflow:epoch 2 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:epoch 2 finished [worker-0]: I0427 06:44:44.671573 281473169453952 cross_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]: I0427 06:44:44.664121 281473169453952 failure_handler_test.py:195] epoch 2 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:44.297785 281473169453952 cross_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]: I0427 06:44:44.664446 281473169453952 failure_handler_test.py:195] epoch 2 finished [worker-3]: I0427 06:44:44.673418 281473169453952 cross_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]: I0427 06:44:44.716873 281473169453952 cross_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]: I0427 06:44:44.761659 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, 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281473169453952 cross_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]: I0427 06:44:44.980856 281473169453952 cross_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]: I0427 06:44:44.848919 281473169453952 cross_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]: I0427 06:44:44.344401 281473169453952 cross_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]: I0427 06:44:44.893699 281473169453952 cross_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]: I0427 06:44:44.937212 281473169453952 cross_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]: 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Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 3 finished [worker-3]: I0427 06:44:45.320856 281473169453952 failure_handler_test.py:195] epoch 3 finished [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0427 06:44:45.327771 281473169453952 cross_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]: I0427 06:44:45.370278 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 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I0427 06:44:46.608551 281473169453952 failure_handler_test.py:195] epoch 5 finished [worker-0]: I0427 06:44:46.915331 281473169453952 cross_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]: I0427 06:44:46.615270 281473169453952 cross_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]: I0427 06:44:46.957592 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, 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= 1 [worker-3]: I0427 06:44:47.468894 281473169453952 cross_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]: I0427 06:44:44.894027 281473169453952 cross_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-3]: I0427 06:44:47.511015 281473169453952 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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= 1 [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]: I0427 06:44:47.638683 281473169453952 cross_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]: I0427 06:44:45.067358 281473169453952 cross_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-3]: I0427 06:44:47.680922 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06:44:45.155276 281473169453952 cross_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-3]: I0427 06:44:47.768770 281473169453952 cross_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]: I0427 06:44:45.198181 281473169453952 cross_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]: 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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 7 finished [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0427 06:44:47.889495 281473169453952 failure_handler_test.py:195] epoch 7 finished [worker-1]: I0427 06:44:45.285067 281473169453952 cross_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:Training finished. [worker-1]: INFO:tensorflow:epoch 3 finished [worker-2]: I0427 06:44:44.625284 281473169453952 cross_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]: I0427 06:44:47.890128 281473169453952 failure_handler_test.py:245] Training finished. [worker-1]: I0427 06:44:45.321128 281473169453952 failure_handler_test.py:195] epoch 3 finished [worker-2]: INFO:tensorflow:epoch 2 finished [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:44.664497 281473169453952 failure_handler_test.py:195] epoch 2 finished [worker-1]: I0427 06:44:45.327975 281473169453952 cross_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]: I0427 06:44:44.673589 281473169453952 cross_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]: I0427 06:44:45.370450 281473169453952 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:45.413109 281473169453952 cross_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]: I0427 06:44:44.717254 281473169453952 cross_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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0427 06:44:45.455921 281473169453952 cross_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]: I0427 06:44:44.762153 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 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CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:45.067792 281473169453952 cross_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]: I0427 06:44:45.974481 281473169453952 cross_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]: I0427 06:44:45.110128 281473169453952 cross_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]: I0427 06:44:46.018438 281473169453952 cross_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]: I0427 06:44:45.152892 281473169453952 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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06:44:45.242028 281473169453952 cross_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]: I0427 06:44:46.103558 281473169453952 cross_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]: I0427 06:44:45.284959 281473169453952 cross_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-2]: INFO:tensorflow:epoch 3 finished [worker-1]: I0427 06:44:46.145778 281473169453952 cross_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]: I0427 06:44:45.321173 281473169453952 failure_handler_test.py:195] epoch 3 finished [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:45.328012 281473169453952 cross_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]: I0427 06:44:45.370902 281473169453952 cross_device_ops.py:1152] Collective 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281473169453952 cross_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]: I0427 06:44:46.787396 281473169453952 cross_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]: I0427 06:44:46.830406 281473169453952 cross_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]: 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Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:epoch 6 finished [worker-2]: I0427 06:44:47.248873 281473169453952 failure_handler_test.py:195] epoch 6 finished [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:47.257136 281473169453952 cross_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]: I0427 06:44:47.299137 281473169453952 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 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implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:47.553779 281473169453952 cross_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]: I0427 06:44:47.595914 281473169453952 cross_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 = 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implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0427 06:44:47.769070 281473169453952 cross_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]: I0427 06:44:47.811327 281473169453952 cross_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 = 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[worker-2]: I0427 06:44:47.890790 281473169453952 failure_handler_test.py:245] Training finished. ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 32.7s //tensorflow/c:c_api_function_test PASSED in 34.6s //tensorflow/c:c_api_test_cpu PASSED in 41.2s //tensorflow/c:c_test PASSED in 32.2s //tensorflow/c:env_test_cpu PASSED in 32.3s //tensorflow/c:kernels_test_cpu PASSED in 44.5s //tensorflow/c:ops_test PASSED in 32.0s //tensorflow/c:while_loop_test PASSED in 33.4s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 35.3s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 37.4s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 42.2s //tensorflow/c/eager:c_api_test_cpu PASSED in 49.0s //tensorflow/c/eager:custom_device_test PASSED in 38.7s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 39.4s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 35.7s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 35.5s //tensorflow/c/experimental/filesystem/plugins/gcs:expiring_lru_cache_test PASSED in 0.1s //tensorflow/c/experimental/filesystem/plugins/gcs:ram_file_block_cache_test PASSED in 2.4s //tensorflow/c/experimental/grappler:grappler_test PASSED in 34.7s //tensorflow/c/experimental/ops/gen/common:case_format_test PASSED in 0.9s //tensorflow/c/experimental/ops/gen/cpp:cpp_generator_test PASSED in 0.6s //tensorflow/c/experimental/ops/gen/cpp/renderers:renderer_test PASSED in 0.4s //tensorflow/c/experimental/saved_model/core:constant_loading_test PASSED in 23.9s //tensorflow/c/experimental/saved_model/core:object_graph_traversal_test PASSED in 20.8s //tensorflow/c/experimental/saved_model/core:saved_variable_loading_test PASSED in 18.2s //tensorflow/c/experimental/saved_model/core:signature_flattening_test PASSED in 20.2s //tensorflow/c/experimental/saved_model/core:tf_concrete_function_loading_test PASSED in 17.4s //tensorflow/c/experimental/saved_model/core/ops:restore_ops_test PASSED in 16.7s //tensorflow/c/experimental/saved_model/core/ops:variable_ops_test PASSED in 16.5s //tensorflow/c/experimental/saved_model/internal:saved_model_api_test PASSED in 45.9s //tensorflow/c/experimental/stream_executor:stream_executor_test PASSED in 0.3s //tensorflow/c/kernels:bitcast_op_test PASSED in 0.9s //tensorflow/c/kernels:summary_op_benchmark_test PASSED in 0.8s //tensorflow/c/kernels:summary_op_test PASSED in 0.8s //tensorflow/c/kernels:tensor_shape_utils_test PASSED in 0.1s //tensorflow/cc:cc_op_gen_test PASSED in 1.3s //tensorflow/cc:client_client_session_test PASSED in 3.6s //tensorflow/cc:coordinator_test PASSED in 4.7s //tensorflow/cc:framework_cc_ops_test PASSED in 3.0s //tensorflow/cc:framework_gradient_checker_test PASSED in 4.3s //tensorflow/cc:framework_gradients_test PASSED in 6.0s //tensorflow/cc:framework_scope_test PASSED in 0.6s //tensorflow/cc:framework_while_gradients_test PASSED in 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//tensorflow/cc/experimental/libtf:libtf_module_test PASSED in 33.0s //tensorflow/cc/experimental/libtf:libtf_object_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_perf_test PASSED in 0.2s //tensorflow/cc/experimental/libtf:libtf_runtime_test PASSED in 35.9s //tensorflow/cc/experimental/libtf:libtf_transform_test PASSED in 33.4s //tensorflow/cc/experimental/libtf:libtf_value_test PASSED in 0.6s //tensorflow/cc/experimental/libtf:libtf_visit_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:iostream_test PASSED in 0.2s //tensorflow/cc/experimental/libtf/impl:none_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:scalars_test PASSED in 0.2s //tensorflow/cc/experimental/libtf/impl:string_test PASSED in 0.3s //tensorflow/cc/experimental/libtf/impl:tensor_spec_test PASSED in 0.2s //tensorflow/cc/saved_model:bundle_v2_test PASSED in 0.5s //tensorflow/cc/saved_model:fingerprinting_test PASSED in 1.1s //tensorflow/cc/saved_model:metrics_test PASSED in 9.1s 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//tensorflow/compiler/jit:device_executable_persistor_test PASSED in 28.9s //tensorflow/compiler/jit:device_util_test PASSED in 6.9s //tensorflow/compiler/jit:encapsulate_util_test PASSED in 0.5s //tensorflow/compiler/jit:node_matchers_test PASSED in 1.2s //tensorflow/compiler/jit:resource_operation_safety_analysis_test PASSED in 13.6s //tensorflow/compiler/jit:shape_inference_test PASSED in 0.8s //tensorflow/compiler/jit:xla_activity_listener_test PASSED in 34.3s //tensorflow/compiler/jit:xla_cluster_util_test PASSED in 10.8s //tensorflow/compiler/jit:xla_compile_util_test PASSED in 9.1s //tensorflow/compiler/jit:xla_kernel_creator_test PASSED in 10.3s //tensorflow/compiler/jit:xla_launch_util_test PASSED in 29.4s //tensorflow/compiler/jit/tests:auto_clustering_test PASSED in 34.5s //tensorflow/compiler/mlir:mlir_graph_optimization_pass_test PASSED in 13.4s //tensorflow/compiler/mlir:register_common_dialects_test PASSED in 17.0s //tensorflow/compiler/mlir/lite:lstm_utils_test PASSED in 0.7s //tensorflow/compiler/mlir/lite:perception_ops_utils_test PASSED in 1.0s //tensorflow/compiler/mlir/lite:size_utils_test PASSED in 0.4s //tensorflow/compiler/mlir/lite:tftext_utils_test PASSED in 0.4s //tensorflow/compiler/mlir/lite/experimental/remat:rematerializer_test PASSED in 1.2s //tensorflow/compiler/mlir/lite/experimental/tac:execution_metadata_exporter_test PASSED in 4.4s //tensorflow/compiler/mlir/lite/experimental/tac/tests:compute-cost.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/lite/experimental/tac/tests:device-transform-gpu.mlir.test PASSED in 1.2s //tensorflow/compiler/mlir/lite/experimental/tac/tests:device-transform-nnapi.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/lite/experimental/tac/tests:fold-constants-to-subgraph.mlir.test PASSED in 1.1s //tensorflow/compiler/mlir/lite/experimental/tac/tests:get-alternative-subgraph.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/lite/experimental/tac/tests:get-op-cost.mlir.test PASSED in 0.5s 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//tensorflow/compiler/mlir/tf2xla/transforms:xla_legalize_targets_test PASSED in 0.9s //tensorflow/compiler/mlir/tf2xla/transforms:xla_legalize_tf_test PASSED in 4.4s //tensorflow/compiler/mlir/tfr:graph_decompose_test PASSED in 9.5s //tensorflow/compiler/mlir/tfr:node_expansion_test PASSED in 9.0s //tensorflow/compiler/mlir/tfr:op_reg_gen_test PASSED in 14.7s //tensorflow/compiler/mlir/tfr:tfr_decompose_ctx_test PASSED in 6.3s //tensorflow/compiler/mlir/tfr:tfr_gen_test PASSED in 19.3s //tensorflow/compiler/mlir/tfr/examples/customization:test_ops_test PASSED in 15.5s //tensorflow/compiler/mlir/tfr/examples/pad:pad_ops_test PASSED in 19.3s //tensorflow/compiler/mlir/tools/kernel_gen/tests:buffer_deallocation.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tools/kernel_gen/tests:buffer_reuse.mlir.test PASSED in 1.3s //tensorflow/compiler/mlir/tools/kernel_gen/tests:bufferize.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:copy_cleanup.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:embed_tf_framework.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:invalid.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:isinf.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:ops.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:parallel_loops_to_sequential.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:rewrite_tf_framework_assert.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tanh.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf-legalize-to-lmhlo.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_abi_knowledge.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_framework_legalize_to_llvm.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_kernel_gpu_launch_to_llvm.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_to_jit_invocations.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tosa/tests:convert-tfl-uint8.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tosa/tests:convert_metadata.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:fuse-bias-tf.mlir.test PASSED in 1.2s //tensorflow/compiler/mlir/tosa/tests:lower-complex-types.mlir.test PASSED in 1.1s //tensorflow/compiler/mlir/tosa/tests:lower_global_tensors.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tosa/tests:multi_add.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:retain_call_once_funcs.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:strip-quant-types.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tosa/tests:strip_metadata.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:tf-tfl-to-tosa-pipeline.mlir.test PASSED in 1.4s //tensorflow/compiler/mlir/tosa/tests:tf-to-tosa-pipeline.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-dequantize_softmax.mlir.test PASSED in 1.1s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline-filtered.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline.mlir.test PASSED in 5.3s //tensorflow/compiler/mlir/tosa/tests:verify_fully_converted.mlir.test PASSED in 1.0s //tensorflow/compiler/tests:adadelta_test_cpu PASSED in 13.5s //tensorflow/compiler/tests:adagrad_da_test_cpu PASSED in 11.4s //tensorflow/compiler/tests:adagrad_test_cpu PASSED in 10.7s //tensorflow/compiler/tests:adam_test_cpu PASSED in 14.7s //tensorflow/compiler/tests:add_n_test_cpu PASSED in 8.9s //tensorflow/compiler/tests:argminmax_test_cpu PASSED in 12.5s //tensorflow/compiler/tests:argminmax_test_cpu_mlir_bridge_test PASSED in 20.2s //tensorflow/compiler/tests:bucketize_op_test_cpu PASSED in 7.2s //tensorflow/compiler/tests:bucketize_op_test_cpu_mlir_bridge_test PASSED in 7.2s //tensorflow/compiler/tests:case_test_cpu PASSED in 7.6s //tensorflow/compiler/tests:cast_ops_test_cpu PASSED in 7.8s //tensorflow/compiler/tests:cast_ops_test_cpu_mlir_bridge_test PASSED in 6.7s //tensorflow/compiler/tests:categorical_op_test_cpu PASSED in 12.5s //tensorflow/compiler/tests:categorical_op_test_cpu_mlir_bridge_test PASSED in 12.4s //tensorflow/compiler/tests:cholesky_op_test_cpu PASSED in 19.3s //tensorflow/compiler/tests:cholesky_op_test_cpu_mlir_bridge_test PASSED in 17.5s //tensorflow/compiler/tests:clustering_test_cpu PASSED in 6.7s //tensorflow/compiler/tests:clustering_test_cpu_mlir_bridge_test PASSED in 6.9s //tensorflow/compiler/tests:concat_ops_test_cpu PASSED in 18.9s //tensorflow/compiler/tests:concat_ops_test_cpu_mlir_bridge_test PASSED in 8.9s //tensorflow/compiler/tests:cond_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:const_arg_test_cpu PASSED in 7.9s //tensorflow/compiler/tests:const_test_cpu PASSED in 13.9s //tensorflow/compiler/tests:data_format_ops_test_cpu PASSED in 13.4s //tensorflow/compiler/tests:data_format_ops_test_cpu_mlir_bridge_test PASSED in 13.4s //tensorflow/compiler/tests:dense_layer_test_cpu PASSED in 11.5s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu PASSED in 9.9s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu_mlir_bridge_test PASSED in 11.4s //tensorflow/compiler/tests:dynamic_stitch_test_cpu PASSED in 9.4s //tensorflow/compiler/tests:dynamic_stitch_test_cpu_mlir_bridge_test PASSED in 7.3s //tensorflow/compiler/tests:eager_test_cpu PASSED in 18.4s //tensorflow/compiler/tests:einsum_op_test_cpu PASSED in 9.0s //tensorflow/compiler/tests:einsum_op_test_cpu_mlir_bridge_test PASSED in 7.4s //tensorflow/compiler/tests:ensure_shape_op_test_cpu PASSED in 7.2s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu_mlir_bridge_test PASSED in 17.5s //tensorflow/compiler/tests:fake_quant_ops_test_cpu PASSED in 12.1s //tensorflow/compiler/tests:fake_quant_ops_test_cpu_mlir_bridge_test PASSED in 13.2s //tensorflow/compiler/tests:fifo_queue_test_cpu PASSED in 7.9s //tensorflow/compiler/tests:fifo_queue_test_cpu_mlir_bridge_test PASSED in 12.3s //tensorflow/compiler/tests:ftrl_ops_test_cpu PASSED in 17.4s //tensorflow/compiler/tests:ftrl_ops_test_cpu_mlir_bridge_test PASSED in 17.6s //tensorflow/compiler/tests:function_test_cpu PASSED in 6.9s //tensorflow/compiler/tests:function_test_cpu_mlir_bridge_test PASSED in 7.4s //tensorflow/compiler/tests:gather_nd_op_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:gather_nd_op_test_cpu_mlir_bridge_test PASSED in 9.1s //tensorflow/compiler/tests:gather_test_cpu PASSED in 45.2s //tensorflow/compiler/tests:gather_test_cpu_mlir_bridge_test PASSED in 50.9s //tensorflow/compiler/tests:jit_test_cpu PASSED in 62.0s //tensorflow/compiler/tests:listdiff_op_test_cpu PASSED in 11.0s //tensorflow/compiler/tests:listdiff_op_test_cpu_mlir_bridge_test PASSED in 12.3s //tensorflow/compiler/tests:lrn_ops_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:lrn_ops_test_cpu_mlir_bridge_test PASSED in 8.3s //tensorflow/compiler/tests:lstm_test_cpu PASSED in 23.4s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 11.9s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 11.5s //tensorflow/compiler/tests:matrix_band_part_test_cpu PASSED in 42.0s //tensorflow/compiler/tests:matrix_band_part_test_cpu_mlir_bridge_test PASSED in 53.8s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 17.0s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 20.7s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 12.3s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 10.1s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu PASSED in 26.9s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu_mlir_bridge_test PASSED in 29.0s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 9.1s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 17.2s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 8.5s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 8.4s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 7.2s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 7.0s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 6.4s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 9.0s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 7.7s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 7.5s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 7.5s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 7.6s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 8.5s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 10.6s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 15.5s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 9.9s //tensorflow/compiler/tests:risc_ops_test_cpu_mlir_bridge_test PASSED in 7.6s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 10.6s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 23.5s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 27.0s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 10.7s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 7.9s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 24.5s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 30.9s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 34.1s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 17.1s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 17.4s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 39.1s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 6.9s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 7.2s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 7.6s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 11.8s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 13.6s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 15.9s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 12.3s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 15.9s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 7.9s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 27.7s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 14.7s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 16.6s //tensorflow/compiler/tests:while_test_cpu PASSED in 10.4s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 16.3s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 8.5s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 7.0s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 14.4s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 14.3s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 36.6s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 73.4s //tensorflow/compiler/tests:xla_test_test PASSED in 6.7s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 9.2s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.6s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.8s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 0.9s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 35.6s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 5.2s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.6s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 8.2s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 2.2s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.8s //tensorflow/compiler/tf2xla:tf2xla_opset_test PASSED in 18.3s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 36.7s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 0.8s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 18.0s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 22.1s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 7.3s //tensorflow/compiler/tf2xla/kernels:rng_converter_utils_test PASSED in 1.9s //tensorflow/compiler/xla:array2d_test PASSED in 0.1s //tensorflow/compiler/xla:array3d_test PASSED in 0.2s //tensorflow/compiler/xla:array4d_test PASSED in 1.0s //tensorflow/compiler/xla:array_test PASSED in 0.2s //tensorflow/compiler/xla:bit_cast_test PASSED in 0.9s //tensorflow/compiler/xla:comparison_util_test PASSED in 0.1s //tensorflow/compiler/xla:debug_options_parsers_test PASSED in 0.2s //tensorflow/compiler/xla:index_util_test PASSED in 0.6s //tensorflow/compiler/xla:iterator_util_test PASSED in 0.4s //tensorflow/compiler/xla:layout_test PASSED in 0.2s //tensorflow/compiler/xla:layout_util_test PASSED in 0.1s //tensorflow/compiler/xla:literal_test PASSED in 0.4s //tensorflow/compiler/xla:parse_flags_from_env_test PASSED in 0.4s //tensorflow/compiler/xla:permutation_util_test PASSED in 0.2s //tensorflow/compiler/xla:primitive_util_test PASSED in 0.2s //tensorflow/compiler/xla:refcounting_hash_map_test PASSED in 0.2s //tensorflow/compiler/xla:reference_util_test PASSED in 0.3s //tensorflow/compiler/xla:shape_test PASSED in 0.2s //tensorflow/compiler/xla:shape_tree_test PASSED in 0.1s //tensorflow/compiler/xla:shape_util_test PASSED in 2.2s //tensorflow/compiler/xla:status_macros_test PASSED in 0.2s //tensorflow/compiler/xla:text_literal_reader_test PASSED in 0.3s //tensorflow/compiler/xla:text_literal_writer_test PASSED in 0.1s //tensorflow/compiler/xla:types_test PASSED in 0.1s //tensorflow/compiler/xla:util_test PASSED in 0.1s //tensorflow/compiler/xla:window_util_test PASSED in 0.2s //tensorflow/compiler/xla/client:padding_test PASSED in 0.4s //tensorflow/compiler/xla/client:xla_builder_test PASSED in 0.3s //tensorflow/compiler/xla/client/lib:arithmetic_test_cpu PASSED in 10.4s //tensorflow/compiler/xla/client/lib:comparators_test_cpu PASSED in 9.9s //tensorflow/compiler/xla/client/lib:constants_test_cpu PASSED in 9.8s //tensorflow/compiler/xla/client/lib:logdet_test_cpu PASSED in 13.2s //tensorflow/compiler/xla/client/lib:math_test_cpu PASSED in 19.6s //tensorflow/compiler/xla/client/lib:matrix_test_cpu PASSED in 12.9s //tensorflow/compiler/xla/client/lib:pooling_test_cpu PASSED in 11.8s //tensorflow/compiler/xla/client/lib:qr_test_cpu PASSED in 16.4s //tensorflow/compiler/xla/client/lib:slicing_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/client/lib:sorting_test_cpu PASSED in 11.8s //tensorflow/compiler/xla/examples/axpy:stablehlo_compile_test PASSED in 12.7s //tensorflow/compiler/xla/experiments/sm_bandwidth_benchmark:sm_bw_test PASSED in 0.2s //tensorflow/compiler/xla/hlo/evaluator:hlo_evaluator_test PASSED in 3.8s //tensorflow/compiler/xla/hlo/experimental/auto_sharding:auto_sharding_test PASSED in 2.1s //tensorflow/compiler/xla/hlo/transforms:hlo_constant_splitter_test PASSED in 1.2s //tensorflow/compiler/xla/hlo/utils:hlo_live_range_test PASSED in 1.1s //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 1.3s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:collective_ops_to_cpu_runtime.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:fft.mlir.test PASSED in 0.5s //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:lmhlo_custom_call.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_infeed.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:remove_copies_to_out_params.mlir.test PASSED in 2.7s 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//tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/unfuse_batch_norm.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_bounds.mlir.test PASSED in 1.7s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_conv_op.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_reduce_op.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_reduce_window_op.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_scatter_op.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_select_and_scatter_op.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_while_op.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/while_prettyprint.mlir.test PASSED in 2.0s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/thlo/bufferize.mlir.test PASSED in 2.0s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/thlo/canonicalize.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/thlo/invalid.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/thlo/legalize_sort.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/thlo/ops.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/thlo/tiling.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:alloc_to_arg.mlir.test PASSED in 9.0s //tensorflow/compiler/xla/mlir_hlo/tests:assuming-structural-propagation.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:buffer_packing.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:bufferize.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir_hlo/tests:bufferize_one_shot.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:collapse_parallel_loops_to_1d_pass.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:detensorize_scf_ops.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir_hlo/tests:index_type_llvm_lowering.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:legalize-trigonometric-to-approximation.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:lower_index_cast.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:propagate_static_shapes.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:rank-specialization.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:scalarization.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:shape-component-analysis.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:shape_simplification.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:test_userange.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:tile_loops.mlir.test PASSED in 0.4s //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 0.6s //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 0.3s //tensorflow/compiler/xla/mlir_hlo/tosa/tests:binary.mlir.test PASSED in 1.7s //tensorflow/compiler/xla/mlir_hlo/tosa/tests:nullary.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tosa/tests:prepare-mhlo.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tosa/tests:ternary.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tosa/tests:unary.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/pjrt:host_callback_test PASSED in 0.4s //tensorflow/compiler/xla/pjrt:lru_cache_test PASSED in 0.3s //tensorflow/compiler/xla/pjrt:pjrt_api_test PASSED in 1.0s //tensorflow/compiler/xla/pjrt:pjrt_client_test_cpu PASSED in 11.3s //tensorflow/compiler/xla/pjrt:pjrt_compiler_test PASSED in 0.3s //tensorflow/compiler/xla/pjrt:pjrt_executable_test PASSED in 0.2s //tensorflow/compiler/xla/pjrt:pjrt_stream_executor_client_test PASSED in 11.6s //tensorflow/compiler/xla/pjrt:semaphore_test PASSED in 0.4s //tensorflow/compiler/xla/pjrt:tf_pjrt_client_test PASSED in 10.0s //tensorflow/compiler/xla/pjrt:tfrt_cpu_pjrt_client_test PASSED in 10.5s //tensorflow/compiler/xla/pjrt:tracked_device_buffer_test PASSED in 9.4s //tensorflow/compiler/xla/pjrt:tracked_tfrt_cpu_device_buffer_test PASSED in 0.2s //tensorflow/compiler/xla/pjrt:transpose_test PASSED in 63.5s //tensorflow/compiler/xla/pjrt/c:pjrt_c_api_cpu_test PASSED in 10.4s //tensorflow/compiler/xla/pjrt/c:pjrt_c_api_helpers_test PASSED in 0.3s //tensorflow/compiler/xla/pjrt/distributed:client_server_test PASSED in 43.3s //tensorflow/compiler/xla/pjrt/distributed:service_test PASSED in 10.9s //tensorflow/compiler/xla/pjrt/gpu:se_gpu_pjrt_client_test PASSED in 2.0s //tensorflow/compiler/xla/python:outfeed_receiver_test_cpu PASSED in 13.6s //tensorflow/compiler/xla/python/ifrt:array_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:array_test_no_impl PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:client_test_no_impl PASSED in 0.5s //tensorflow/compiler/xla/python/ifrt:executable_test_no_impl PASSED in 1.5s //tensorflow/compiler/xla/python/ifrt:future_test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt:index_domain_test PASSED in 0.2s //tensorflow/compiler/xla/python/ifrt:index_test PASSED in 0.6s //tensorflow/compiler/xla/python/ifrt:shape_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:sharding_test PASSED in 0.5s //tensorflow/compiler/xla/python/ifrt:tuple_test_no_impl PASSED in 0.3s //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 0.4s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_call.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_call_loaded_executable.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_disassemble.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_loaded_executable.mlir.test PASSED in 0.6s //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 0.2s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_array_impl_test_tfrt_cpu PASSED in 16.7s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_client_impl_test_tfrt_cpu PASSED in 8.7s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_executable_impl_test_tfrt_cpu PASSED in 8.2s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_tuple_impl_test_tfrt_cpu PASSED in 14.8s //tensorflow/compiler/xla/python_api:xla_literal_test PASSED in 0.9s //tensorflow/compiler/xla/python_api:xla_shape_test PASSED in 3.2s //tensorflow/compiler/xla/rpc:grpc_client_test PASSED in 0.6s //tensorflow/compiler/xla/runtime:arguments_test PASSED in 1.0s //tensorflow/compiler/xla/runtime:async_runtime_test PASSED in 0.6s //tensorflow/compiler/xla/runtime:custom_call_test PASSED in 1.7s //tensorflow/compiler/xla/runtime:diagnostics_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:executable_test PASSED in 1.9s //tensorflow/compiler/xla/runtime:ffi_test PASSED in 1.2s //tensorflow/compiler/xla/runtime:map_by_type_test PASSED in 0.3s //tensorflow/compiler/xla/runtime:module_test PASSED in 0.3s //tensorflow/compiler/xla/runtime:results_test PASSED in 0.4s //tensorflow/compiler/xla/runtime:state_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:symbolic_shape_test PASSED in 0.6s //tensorflow/compiler/xla/runtime:type_id_test PASSED in 0.2s //tensorflow/compiler/xla/service:algebraic_simplifier_overflow_test_cpu PASSED in 12.0s //tensorflow/compiler/xla/service:algebraic_simplifier_test PASSED in 75.0s //tensorflow/compiler/xla/service:all_gather_broadcast_reorder_test PASSED in 1.2s //tensorflow/compiler/xla/service:all_gather_combiner_test PASSED in 2.0s //tensorflow/compiler/xla/service:all_gather_decomposer_test PASSED in 1.4s //tensorflow/compiler/xla/service:all_reduce_combiner_test PASSED in 1.3s //tensorflow/compiler/xla/service:all_reduce_contiguous_test PASSED in 1.9s //tensorflow/compiler/xla/service:all_reduce_folder_test PASSED in 1.9s //tensorflow/compiler/xla/service:all_reduce_promotion_test PASSED in 1.1s //tensorflow/compiler/xla/service:all_reduce_reassociate_test PASSED in 2.0s //tensorflow/compiler/xla/service:all_reduce_simplifier_test PASSED in 1.5s //tensorflow/compiler/xla/service:ar_crs_combiner_test PASSED in 1.1s //tensorflow/compiler/xla/service:async_collective_creator_test PASSED in 1.2s //tensorflow/compiler/xla/service:async_op_canonicalizer_test PASSED in 1.4s //tensorflow/compiler/xla/service:batch_dot_simplification_test PASSED in 1.0s //tensorflow/compiler/xla/service:batchnorm_expander_test_cpu PASSED in 12.8s //tensorflow/compiler/xla/service:bfloat16_conversion_folding_test PASSED in 1.3s //tensorflow/compiler/xla/service:bfloat16_propagation_test PASSED in 2.9s //tensorflow/compiler/xla/service:bitcast_dtypes_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:broadcast_canonicalizer_test PASSED in 1.2s //tensorflow/compiler/xla/service:buffer_assignment_test PASSED in 37.3s //tensorflow/compiler/xla/service:call_graph_test PASSED in 1.3s //tensorflow/compiler/xla/service:call_inliner_test PASSED in 2.2s //tensorflow/compiler/xla/service:change_op_data_type_test PASSED in 1.1s //tensorflow/compiler/xla/service:collective_ops_utils_test PASSED in 0.2s //tensorflow/compiler/xla/service:collectives_schedule_linearizer_test PASSED in 0.9s //tensorflow/compiler/xla/service:compilation_environments_test PASSED in 0.6s //tensorflow/compiler/xla/service:conditional_canonicalizer_test PASSED in 1.5s //tensorflow/compiler/xla/service:conditional_code_motion_test PASSED in 1.5s //tensorflow/compiler/xla/service:conditional_simplifier_test PASSED in 1.0s //tensorflow/compiler/xla/service:conditional_to_select_test PASSED in 1.9s //tensorflow/compiler/xla/service:convert_async_collectives_to_sync_test PASSED in 1.4s //tensorflow/compiler/xla/service:convert_mover_test PASSED in 1.0s //tensorflow/compiler/xla/service:convert_operand_folding_test PASSED in 1.4s //tensorflow/compiler/xla/service:convolution_4d_expander_test PASSED in 1.0s //tensorflow/compiler/xla/service:convolution_group_converter_test PASSED in 1.3s //tensorflow/compiler/xla/service:convolution_pred_expander_test PASSED in 1.0s //tensorflow/compiler/xla/service:copy_insertion_test PASSED in 4.3s //tensorflow/compiler/xla/service:custom_call_status_test PASSED in 0.3s //tensorflow/compiler/xla/service:defuser_test PASSED in 1.3s //tensorflow/compiler/xla/service:despecializer_test PASSED in 1.8s //tensorflow/compiler/xla/service:dfs_hlo_visitor_with_default_test PASSED in 1.4s //tensorflow/compiler/xla/service:dot_decomposer_test PASSED in 2.2s //tensorflow/compiler/xla/service:dot_merger_test PASSED in 1.1s //tensorflow/compiler/xla/service:dynamic_dimension_inference_test PASSED in 1.5s //tensorflow/compiler/xla/service:dynamic_dimension_simplifier_test PASSED in 1.1s //tensorflow/compiler/xla/service:dynamic_index_splitter_test PASSED in 7.5s //tensorflow/compiler/xla/service:dynamic_padder_test_cpu PASSED in 51.8s //tensorflow/compiler/xla/service:dynamic_parameter_binding_test PASSED in 1.0s //tensorflow/compiler/xla/service:dynamic_update_slice_test_cpu PASSED in 13.7s //tensorflow/compiler/xla/service:elemental_ir_emitter_test_cpu PASSED in 12.5s //tensorflow/compiler/xla/service:flatten_call_graph_test PASSED in 1.8s //tensorflow/compiler/xla/service:float_normalization_test PASSED in 1.2s //tensorflow/compiler/xla/service:fusion_node_indexing_evaluation_test PASSED in 1.6s //tensorflow/compiler/xla/service:gather_expander_test PASSED in 1.7s //tensorflow/compiler/xla/service:gather_simplifier_test PASSED in 1.0s //tensorflow/compiler/xla/service:heap_simulator_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_alias_analysis_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_casting_utils_test PASSED in 7.1s //tensorflow/compiler/xla/service:hlo_computation_deduplicator_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_computation_test PASSED in 2.2s //tensorflow/compiler/xla/service:hlo_constant_folding_test PASSED in 6.0s //tensorflow/compiler/xla/service:hlo_cost_analysis_test PASSED in 14.7s //tensorflow/compiler/xla/service:hlo_creation_utils_test PASSED in 3.7s //tensorflow/compiler/xla/service:hlo_cse_test PASSED in 10.7s //tensorflow/compiler/xla/service:hlo_dataflow_analysis_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_dce_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_domain_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_element_type_converter_test PASSED in 2.3s //tensorflow/compiler/xla/service:hlo_execution_profile_test PASSED in 9.5s //tensorflow/compiler/xla/service:hlo_graph_dumper_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_input_output_alias_config_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_instruction_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_liveness_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_memory_scheduler_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_module_dce_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_module_metadata_test PASSED in 0.3s //tensorflow/compiler/xla/service:hlo_module_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_opcode_test PASSED in 0.4s //tensorflow/compiler/xla/service:hlo_ordering_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_parser_test PASSED in 0.4s //tensorflow/compiler/xla/service:hlo_pass_pipeline_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_phi_graph_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_proto_util_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_reachability_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_rematerialization_test PASSED in 1.6s //tensorflow/compiler/xla/service:hlo_rematerialization_test_utils_test PASSED in 4.9s //tensorflow/compiler/xla/service:hlo_replication_analysis_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_schedule_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_sharding_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_value_semantics_analysis_test PASSED in 1.6s //tensorflow/compiler/xla/service:hlo_verifier_test PASSED in 14.8s //tensorflow/compiler/xla/service:indexed_array_analysis_test PASSED in 2.1s //tensorflow/compiler/xla/service:instruction_fusion_test PASSED in 1.2s //tensorflow/compiler/xla/service:latency_hiding_scheduler_test PASSED in 1.4s //tensorflow/compiler/xla/service:layout_assignment_test PASSED in 6.3s //tensorflow/compiler/xla/service:layout_normalization_test PASSED in 2.4s //tensorflow/compiler/xla/service:logistic_expander_test PASSED in 1.3s //tensorflow/compiler/xla/service:loop_schedule_linearizer_test PASSED in 2.3s //tensorflow/compiler/xla/service:map_inliner_test PASSED in 4.4s //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 5.8s //tensorflow/compiler/xla/service:memory_space_propagation_test PASSED in 1.6s //tensorflow/compiler/xla/service:name_uniquer_test PASSED in 0.2s //tensorflow/compiler/xla/service:operand_upcaster_test PASSED in 1.3s //tensorflow/compiler/xla/service:optimize_input_output_buffer_alias_test PASSED in 1.6s //tensorflow/compiler/xla/service:pattern_matcher_gmock_test PASSED in 0.8s //tensorflow/compiler/xla/service:pattern_matcher_test PASSED in 1.4s //tensorflow/compiler/xla/service:profile_guided_latency_estimator_test PASSED in 1.3s //tensorflow/compiler/xla/service:real_imag_expander_test PASSED in 1.6s //tensorflow/compiler/xla/service:reduce_decomposer_test PASSED in 1.3s //tensorflow/compiler/xla/service:reduce_scatter_combiner_test PASSED in 1.2s //tensorflow/compiler/xla/service:reduce_scatter_decomposer_test PASSED in 0.8s //tensorflow/compiler/xla/service:reduce_scatter_reassociate_test PASSED in 4.2s //tensorflow/compiler/xla/service:reshape_decomposer_test PASSED in 1.1s //tensorflow/compiler/xla/service:reshape_mover_test PASSED in 0.9s //tensorflow/compiler/xla/service:result_caster_test PASSED in 1.1s //tensorflow/compiler/xla/service:root_instruction_sinker_test PASSED in 1.4s //tensorflow/compiler/xla/service:scatter_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:scatter_simplifier_test PASSED in 2.1s //tensorflow/compiler/xla/service:select_and_scatter_expander_test PASSED in 1.2s //tensorflow/compiler/xla/service:shape_inference_test PASSED in 0.3s //tensorflow/compiler/xla/service:shaped_buffer_test PASSED in 10.2s //tensorflow/compiler/xla/service:sharding_propagation_test PASSED in 3.3s //tensorflow/compiler/xla/service:sharding_remover_test PASSED in 1.6s //tensorflow/compiler/xla/service:simplify_fp_conversions_test PASSED in 1.1s //tensorflow/compiler/xla/service:slice_sinker_test PASSED in 1.3s //tensorflow/compiler/xla/service:sort_simplifier_test PASSED in 1.7s //tensorflow/compiler/xla/service:space_to_batch_converter_test PASSED in 1.3s //tensorflow/compiler/xla/service:stable_sort_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:stochastic_convert_decomposer_test PASSED in 1.3s //tensorflow/compiler/xla/service:stream_pool_test PASSED in 0.2s //tensorflow/compiler/xla/service:topk_rewriter_test PASSED in 5.7s //tensorflow/compiler/xla/service:transpose_folding_test PASSED in 1.6s //tensorflow/compiler/xla/service:tuple_points_to_analysis_test PASSED in 1.1s //tensorflow/compiler/xla/service:tuple_simplifier_test PASSED in 1.9s //tensorflow/compiler/xla/service:tuple_util_test PASSED in 0.8s //tensorflow/compiler/xla/service:while_loop_all_reduce_code_motion_test PASSED in 1.2s //tensorflow/compiler/xla/service:while_loop_analysis_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_concat_code_motion_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_constant_sinking_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_expensive_invariant_code_motion_test PASSED in 1.1s //tensorflow/compiler/xla/service:while_loop_invariant_code_motion_test PASSED in 1.1s //tensorflow/compiler/xla/service:while_loop_simplifier_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_trip_count_annotator_test PASSED in 1.4s //tensorflow/compiler/xla/service:while_util_test PASSED in 1.2s //tensorflow/compiler/xla/service:xla_aot_compile_stablehlo_cpu_test PASSED in 12.9s //tensorflow/compiler/xla/service:xla_debug_info_manager_test PASSED in 1.0s //tensorflow/compiler/xla/service:zero_sized_hlo_elimination_test PASSED in 1.3s //tensorflow/compiler/xla/service/cpu:conv_canonicalization_test PASSED in 1.6s //tensorflow/compiler/xla/service/cpu:cpu_eigen_tensor_alignment_test PASSED in 2.3s //tensorflow/compiler/xla/service/cpu:cpu_instruction_fusion_test PASSED in 2.0s //tensorflow/compiler/xla/service/cpu:cpu_layout_assignment_test PASSED in 3.0s //tensorflow/compiler/xla/service/cpu:ir_emission_utils_test PASSED in 1.7s //tensorflow/compiler/xla/service/cpu:parallel_task_assignment_test PASSED in 3.6s //tensorflow/compiler/xla/service/cpu:runtime_fft_test PASSED in 0.2s //tensorflow/compiler/xla/service/cpu:shape_partition_test PASSED in 1.4s //tensorflow/compiler/xla/service/cpu:xfeed_manager_test PASSED in 0.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_bytesizeof_test PASSED in 0.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_dyn_shape_test PASSED in 10.3s //tensorflow/compiler/xla/service/cpu/tests:cpu_eigen_dot_operation_test PASSED in 11.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_external_constants_test PASSED in 25.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_fusion_test PASSED in 13.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_infeed_test PASSED in 9.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_intrinsic_test PASSED in 13.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_key_value_sort_test PASSED in 11.6s //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 10.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_outfeed_test PASSED in 9.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_profiling_test PASSED in 13.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_spmd_compile_test PASSED in 9.3s //tensorflow/compiler/xla/service/cpu/tests:cpu_topk_test PASSED in 10.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_vectorization_test PASSED in 10.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_while_test PASSED in 10.5s //tensorflow/compiler/xla/service/cpu/tests:tree_reduction_rewriter_test PASSED in 11.0s //tensorflow/compiler/xla/service/gpu:alias_passthrough_params_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:all_reduce_blueconnect_test PASSED in 1.0s //tensorflow/compiler/xla/service/gpu:backend_configs_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:cublas_pad_for_gemms_test PASSED in 2.3s //tensorflow/compiler/xla/service/gpu:cudnn_pad_for_convolutions_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:cudnn_simplify_padding_test PASSED in 2.1s //tensorflow/compiler/xla/service/gpu:cudnn_support_utils_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:cudnn_vectorize_convolutions_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:fusion_merger_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:gemm_rewriter_triton_test PASSED in 2.0s //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 1.1s //tensorflow/compiler/xla/service/gpu:gpu_conv_rewriter_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:gpu_convert_async_collectives_to_sync_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu:gpu_fusible_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:gpu_hlo_cost_analysis_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:gpu_performance_model_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:gpu_sanitize_constant_names_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:hlo_algorithm_denylist_test PASSED in 0.3s //tensorflow/compiler/xla/service/gpu:hlo_fusion_stats_test PASSED in 1.0s //tensorflow/compiler/xla/service/gpu:instruction_fusion_test PASSED in 2.6s //tensorflow/compiler/xla/service/gpu:ir_emission_utils_test PASSED in 2.2s //tensorflow/compiler/xla/service/gpu:matmul_utils_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:move_copy_to_users_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:multi_output_fusion_test PASSED in 11.7s //tensorflow/compiler/xla/service/gpu:non_atomically_upgradeable_rw_lock_test PASSED in 0.4s //tensorflow/compiler/xla/service/gpu:reduction_splitter_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:scatter_slice_simplifier_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu:target_util_test PASSED in 0.5s //tensorflow/compiler/xla/service/gpu:variadic_op_splitter_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:while_transformer_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu/llvm_gpu_backend:utils_test PASSED in 0.5s //tensorflow/compiler/xla/service/gpu/tests:gpu_reduce_scatter_creator_test PASSED in 2.2s //tensorflow/compiler/xla/service/gpu/tests:reduction_degenerate_dim_remover_test PASSED in 3.6s //tensorflow/compiler/xla/service/gpu/tests:reduction_dimension_grouper_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu/tests:tree_reduction_rewriter_test PASSED in 2.2s //tensorflow/compiler/xla/service/graphcycles:graphcycles_test PASSED in 0.9s //tensorflow/compiler/xla/service/graphcycles:ordered_set_test PASSED in 0.3s //tensorflow/compiler/xla/service/llvm_ir:alias_analysis_test PASSED in 9.7s //tensorflow/compiler/xla/service/llvm_ir:ir_array_test PASSED in 0.5s //tensorflow/compiler/xla/service/spmd:canonicalize_all_gather_for_cse_test PASSED in 1.2s //tensorflow/compiler/xla/service/spmd:collective_permute_motion_test PASSED in 1.1s //tensorflow/compiler/xla/service/spmd:partition_assignment_test PASSED in 0.9s //tensorflow/compiler/xla/service/spmd:schedule_aware_collective_ops_cse_test PASSED in 1.2s //tensorflow/compiler/xla/service/spmd:spmd_partitioner_test PASSED in 5.3s //tensorflow/compiler/xla/service/spmd:stateful_rng_spmd_partitioner_test PASSED in 1.0s //tensorflow/compiler/xla/stream_executor:dnn_test PASSED in 0.3s //tensorflow/compiler/xla/stream_executor:stream_test PASSED in 0.4s //tensorflow/compiler/xla/stream_executor/host:host_stream_test PASSED in 0.2s //tensorflow/compiler/xla/tests:all_reduce_test_cpu PASSED in 11.5s //tensorflow/compiler/xla/tests:axpy_simple_test_cpu PASSED in 10.5s //tensorflow/compiler/xla/tests:bad_rng_shape_validation_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests:binop_scaling_test_cpu PASSED in 11.4s //tensorflow/compiler/xla/tests:bitcast_convert_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/tests:broadcast_simple_test_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests:broadcast_test_cpu PASSED in 13.1s //tensorflow/compiler/xla/tests:buffer_donation_test_cpu PASSED in 11.9s //tensorflow/compiler/xla/tests:call_test_cpu PASSED in 10.4s //tensorflow/compiler/xla/tests:check_execution_arity_test_cpu PASSED in 11.5s //tensorflow/compiler/xla/tests:cholesky_test_cpu PASSED in 20.5s //tensorflow/compiler/xla/tests:client_test_cpu PASSED in 20.7s //tensorflow/compiler/xla/tests:collective_ops_test_cpu PASSED in 20.3s //tensorflow/compiler/xla/tests:compilation_cache_test_cpu PASSED in 11.2s //tensorflow/compiler/xla/tests:compute_constant_test_cpu PASSED in 11.0s //tensorflow/compiler/xla/tests:concat_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/tests:constant_reduction_function_test_cpu PASSED in 11.2s //tensorflow/compiler/xla/tests:constants_test_cpu PASSED in 10.4s //tensorflow/compiler/xla/tests:convert_test_cpu PASSED in 12.7s //tensorflow/compiler/xla/tests:copy_test_cpu PASSED in 13.2s //tensorflow/compiler/xla/tests:cpu_gpu_fusion_test_cpu PASSED in 22.7s //tensorflow/compiler/xla/tests:custom_call_test_cpu PASSED in 13.1s //tensorflow/compiler/xla/tests:deallocation_test_cpu PASSED in 11.3s //tensorflow/compiler/xla/tests:deconstruct_tuple_test_cpu PASSED in 9.7s //tensorflow/compiler/xla/tests:deep_graph_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/tests:execution_profile_test_cpu PASSED in 11.3s //tensorflow/compiler/xla/tests:fft_test_cpu PASSED in 10.4s //tensorflow/compiler/xla/tests:float8_test_cpu PASSED in 11.2s //tensorflow/compiler/xla/tests:floor_ceil_test_cpu PASSED in 9.8s //tensorflow/compiler/xla/tests:fmax_fmin_test_cpu PASSED in 10.3s //tensorflow/compiler/xla/tests:gather_operation_test_cpu PASSED in 14.4s //tensorflow/compiler/xla/tests:get_dimension_size_test_cpu PASSED in 9.7s //tensorflow/compiler/xla/tests:half_test_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests:hlo_metadata_test PASSED in 10.7s //tensorflow/compiler/xla/tests:literal_test_util_test PASSED in 5.1s //tensorflow/compiler/xla/tests:local_client_allocation_test_cpu PASSED in 12.6s //tensorflow/compiler/xla/tests:local_client_aot_test PASSED in 0.1s //tensorflow/compiler/xla/tests:log_test_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests:map_test_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests:matrix_ops_simple_test_cpu PASSED in 19.4s //tensorflow/compiler/xla/tests:multidimensional_slice_test_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests:multiple_devices_on_host_test PASSED in 10.8s //tensorflow/compiler/xla/tests:multithreaded_compilation_test_cpu PASSED in 10.8s //tensorflow/compiler/xla/tests:outfeed_in_nested_computation_test_cpu PASSED in 12.4s //tensorflow/compiler/xla/tests:pad_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/tests:pred_test_cpu PASSED in 11.3s //tensorflow/compiler/xla/tests:query_inferred_shape_test_cpu PASSED in 11.5s //tensorflow/compiler/xla/tests:reduce_hlo_test_cpu PASSED in 13.2s //tensorflow/compiler/xla/tests:reduce_precision_test_cpu PASSED in 10.7s //tensorflow/compiler/xla/tests:replay_test_cpu PASSED in 10.8s //tensorflow/compiler/xla/tests:reshape_motion_test_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests:reverse_test_cpu PASSED in 11.6s //tensorflow/compiler/xla/tests:round_trip_packed_literal_test_cpu PASSED in 12.9s //tensorflow/compiler/xla/tests:round_trip_transfer_test_cpu PASSED in 10.4s //tensorflow/compiler/xla/tests:sample_text_test_cpu PASSED in 13.1s //tensorflow/compiler/xla/tests:scatter_test_cpu PASSED in 17.6s //tensorflow/compiler/xla/tests:select_test_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests:test_utils_test_cpu PASSED in 16.4s //tensorflow/compiler/xla/tests:token_hlo_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/tests:transfer_manager_test_cpu PASSED in 18.6s //tensorflow/compiler/xla/tests:transpose_test_cpu PASSED in 10.5s //tensorflow/compiler/xla/tests:tuple_test_cpu PASSED in 10.5s //tensorflow/compiler/xla/tests:unary_op_test_cpu PASSED in 11.8s //tensorflow/compiler/xla/tests:value_inference_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests:vector_ops_reduce_test_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests:vector_ops_simple_test_cpu PASSED in 16.1s //tensorflow/compiler/xla/tests:while_test_cpu PASSED in 14.0s //tensorflow/compiler/xla/tests/fuzz:rand_0_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests/fuzz:rand_10_cpu PASSED in 11.3s //tensorflow/compiler/xla/tests/fuzz:rand_11_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests/fuzz:rand_12_cpu PASSED in 9.1s //tensorflow/compiler/xla/tests/fuzz:rand_13_cpu PASSED in 10.5s //tensorflow/compiler/xla/tests/fuzz:rand_14_cpu PASSED in 11.6s //tensorflow/compiler/xla/tests/fuzz:rand_15_cpu PASSED in 10.6s //tensorflow/compiler/xla/tests/fuzz:rand_16_cpu PASSED in 12.0s //tensorflow/compiler/xla/tests/fuzz:rand_17_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests/fuzz:rand_18_cpu PASSED in 11.4s //tensorflow/compiler/xla/tests/fuzz:rand_19_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests/fuzz:rand_20_cpu PASSED in 12.9s //tensorflow/compiler/xla/tests/fuzz:rand_21_cpu PASSED in 10.2s //tensorflow/compiler/xla/tests/fuzz:rand_22_cpu PASSED in 11.6s //tensorflow/compiler/xla/tests/fuzz:rand_23_cpu PASSED in 9.4s //tensorflow/compiler/xla/tests/fuzz:rand_24_cpu PASSED in 12.8s //tensorflow/compiler/xla/tests/fuzz:rand_25_cpu PASSED in 13.1s //tensorflow/compiler/xla/tests/fuzz:rand_26_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests/fuzz:rand_27_cpu PASSED in 9.7s //tensorflow/compiler/xla/tests/fuzz:rand_28_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests/fuzz:rand_29_cpu PASSED in 8.8s //tensorflow/compiler/xla/tests/fuzz:rand_2_cpu PASSED in 10.6s //tensorflow/compiler/xla/tests/fuzz:rand_30_cpu PASSED in 10.2s //tensorflow/compiler/xla/tests/fuzz:rand_31_cpu PASSED in 10.2s //tensorflow/compiler/xla/tests/fuzz:rand_32_cpu PASSED in 10.7s //tensorflow/compiler/xla/tests/fuzz:rand_33_cpu PASSED in 11.4s //tensorflow/compiler/xla/tests/fuzz:rand_34_cpu PASSED in 9.1s //tensorflow/compiler/xla/tests/fuzz:rand_35_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests/fuzz:rand_36_cpu PASSED in 10.6s //tensorflow/compiler/xla/tests/fuzz:rand_37_cpu PASSED in 10.7s //tensorflow/compiler/xla/tests/fuzz:rand_38_cpu PASSED in 10.3s //tensorflow/compiler/xla/tests/fuzz:rand_39_cpu PASSED in 10.0s //tensorflow/compiler/xla/tests/fuzz:rand_3_cpu PASSED in 12.1s //tensorflow/compiler/xla/tests/fuzz:rand_40_cpu PASSED in 11.6s //tensorflow/compiler/xla/tests/fuzz:rand_41_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests/fuzz:rand_42_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests/fuzz:rand_43_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests/fuzz:rand_44_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests/fuzz:rand_45_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests/fuzz:rand_46_cpu PASSED in 13.2s //tensorflow/compiler/xla/tests/fuzz:rand_47_cpu PASSED in 12.4s //tensorflow/compiler/xla/tests/fuzz:rand_48_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests/fuzz:rand_49_cpu PASSED in 11.9s //tensorflow/compiler/xla/tests/fuzz:rand_50_cpu PASSED in 11.5s //tensorflow/compiler/xla/tests/fuzz:rand_51_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests/fuzz:rand_52_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests/fuzz:rand_53_cpu PASSED in 10.7s //tensorflow/compiler/xla/tests/fuzz:rand_54_cpu PASSED in 9.8s //tensorflow/compiler/xla/tests/fuzz:rand_56_cpu PASSED in 12.1s //tensorflow/compiler/xla/tests/fuzz:rand_57_cpu PASSED in 10.6s //tensorflow/compiler/xla/tests/fuzz:rand_58_cpu PASSED in 12.3s //tensorflow/compiler/xla/tests/fuzz:rand_59_cpu PASSED in 12.2s //tensorflow/compiler/xla/tests/fuzz:rand_5_cpu PASSED in 13.1s //tensorflow/compiler/xla/tests/fuzz:rand_61_cpu PASSED in 11.7s //tensorflow/compiler/xla/tests/fuzz:rand_62_cpu PASSED in 12.7s //tensorflow/compiler/xla/tests/fuzz:rand_63_cpu PASSED in 10.4s //tensorflow/compiler/xla/tests/fuzz:rand_64_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests/fuzz:rand_65_cpu PASSED in 10.0s //tensorflow/compiler/xla/tests/fuzz:rand_66_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests/fuzz:rand_68_cpu PASSED in 10.6s //tensorflow/compiler/xla/tests/fuzz:rand_69_cpu PASSED in 11.2s //tensorflow/compiler/xla/tests/fuzz:rand_6_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests/fuzz:rand_70_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests/fuzz:rand_71_cpu PASSED in 10.0s //tensorflow/compiler/xla/tests/fuzz:rand_73_cpu PASSED in 10.4s //tensorflow/compiler/xla/tests/fuzz:rand_74_cpu PASSED in 10.2s //tensorflow/compiler/xla/tests/fuzz:rand_75_cpu PASSED in 11.2s //tensorflow/compiler/xla/tests/fuzz:rand_76_cpu PASSED in 9.0s //tensorflow/compiler/xla/tests/fuzz:rand_77_cpu PASSED in 10.8s //tensorflow/compiler/xla/tests/fuzz:rand_78_cpu PASSED in 10.7s //tensorflow/compiler/xla/tests/fuzz:rand_79_cpu PASSED in 10.6s //tensorflow/compiler/xla/tests/fuzz:rand_7_cpu PASSED in 11.4s //tensorflow/compiler/xla/tests/fuzz:rand_80_cpu PASSED in 10.7s //tensorflow/compiler/xla/tests/fuzz:rand_81_cpu PASSED in 11.0s //tensorflow/compiler/xla/tests/fuzz:rand_82_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests/fuzz:rand_83_cpu PASSED in 10.5s //tensorflow/compiler/xla/tests/fuzz:rand_84_cpu PASSED in 9.4s //tensorflow/compiler/xla/tests/fuzz:rand_85_cpu PASSED in 11.2s //tensorflow/compiler/xla/tests/fuzz:rand_86_cpu PASSED in 8.7s //tensorflow/compiler/xla/tests/fuzz:rand_87_cpu PASSED in 14.1s //tensorflow/compiler/xla/tests/fuzz:rand_88_cpu PASSED in 11.2s //tensorflow/compiler/xla/tests/fuzz:rand_89_cpu PASSED in 10.6s //tensorflow/compiler/xla/tests/fuzz:rand_8_cpu PASSED in 10.0s //tensorflow/compiler/xla/tests/fuzz:rand_90_cpu PASSED in 11.8s //tensorflow/compiler/xla/tests/fuzz:rand_91_cpu PASSED in 11.6s //tensorflow/compiler/xla/tests/fuzz:rand_92_cpu PASSED in 10.8s //tensorflow/compiler/xla/tests/fuzz:rand_93_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests/fuzz:rand_94_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests/fuzz:rand_95_cpu PASSED in 10.3s //tensorflow/compiler/xla/tests/fuzz:rand_96_cpu PASSED in 12.8s //tensorflow/compiler/xla/tests/fuzz:rand_97_cpu PASSED in 10.6s //tensorflow/compiler/xla/tests/fuzz:rand_98_cpu PASSED in 11.8s //tensorflow/compiler/xla/tests/fuzz:rand_99_cpu PASSED in 9.9s //tensorflow/compiler/xla/tests/fuzz:rand_9_cpu PASSED in 10.6s //tensorflow/compiler/xla/tools:hlo_control_flow_flattening_test PASSED in 2.3s //tensorflow/compiler/xla/tools:hlo_extractor_test PASSED in 2.1s //tensorflow/compiler/xla/tools:hlo_module_loader_test PASSED in 1.5s //tensorflow/compiler/xla/tools:interactive_graphviz_bin_test PASSED in 0.4s //tensorflow/compiler/xla/tools:run_hlo_module_bin_test PASSED in 1.3s //tensorflow/compiler/xla/tools/hlo_bisect:hlo_bisect_state_test PASSED in 1.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_utils_test PASSED in 1.3s //tensorflow/compiler/xla/translate/hlo_to_mhlo:mlir_hlo_builder_test PASSED in 1.2s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:bool_compare.hlotxt.test PASSED in 1.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:case_conditional.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:dynamic_param.hlo.test PASSED in 1.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:entry_computation_layout.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:frontend_attributes.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fully_connected_reference_model.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fusion.hlotxt.test PASSED in 0.4s 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1.2s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:add.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:case.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:dynamic.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export-with-layouts.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export.mlir.test PASSED in 2.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_and_check_layouts.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_large_constants.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_replicas.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:frontend_attributes.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:fusion.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:if.mlir.test 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PASSED in 4.0s //tensorflow/core/data/service/snapshot:snapshot_split_provider_test PASSED in 1.1s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test PASSED in 16.4s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_test PASSED in 3.6s //tensorflow/core/data/service/snapshot:utils_test PASSED in 0.1s //tensorflow/core/debug:debug_graph_utils_test PASSED in 0.8s //tensorflow/core/distributed_runtime:call_options_test PASSED in 0.3s //tensorflow/core/distributed_runtime:cluster_function_library_runtime_test PASSED in 4.4s //tensorflow/core/distributed_runtime:collective_param_resolver_distributed_test PASSED in 1.0s //tensorflow/core/distributed_runtime:collective_rma_distributed_test PASSED in 0.6s //tensorflow/core/distributed_runtime:device_resolver_distributed_test PASSED in 1.0s //tensorflow/core/distributed_runtime:message_wrappers_test PASSED in 0.5s //tensorflow/core/distributed_runtime:partial_run_mgr_test PASSED in 0.5s //tensorflow/core/distributed_runtime:recent_request_ids_test PASSED in 0.1s //tensorflow/core/distributed_runtime:request_id_test PASSED in 0.8s //tensorflow/core/distributed_runtime:rpc_collective_executor_mgr_test PASSED in 0.7s //tensorflow/core/distributed_runtime:server_lib_test PASSED in 0.2s //tensorflow/core/distributed_runtime:session_mgr_test PASSED in 1.0s //tensorflow/core/distributed_runtime:tensor_coding_test PASSED in 0.4s //tensorflow/core/distributed_runtime/coordination:coordination_service_barrier_proxy_test PASSED in 2.5s //tensorflow/core/distributed_runtime/eager:eager_service_impl_test PASSED in 22.0s //tensorflow/core/distributed_runtime/eager:remote_mgr_test PASSED in 16.9s //tensorflow/core/distributed_runtime/integration_test:c_api_coordination_test_cpu PASSED in 51.9s //tensorflow/core/distributed_runtime/integration_test:c_api_multi_client_test_cpu PASSED in 39.6s //tensorflow/core/distributed_runtime/integration_test:c_api_recoverable_jobs_test_cpu PASSED in 48.5s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 41.1s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 3.4s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 1.0s //tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client_test PASSED in 0.7s //tensorflow/core/example:example_parser_configuration_test PASSED in 1.4s //tensorflow/core/example:feature_util_test PASSED in 0.1s //tensorflow/core/framework:allocator_test PASSED in 3.7s //tensorflow/core/framework:attr_value_util_test PASSED in 1.2s //tensorflow/core/framework:batch_util_test PASSED in 0.8s //tensorflow/core/framework:bfloat16_test PASSED in 1.0s //tensorflow/core/framework:common_shape_fns_test PASSED in 1.0s //tensorflow/core/framework:dataset_test PASSED in 1.5s //tensorflow/core/framework:device_base_test PASSED in 1.1s //tensorflow/core/framework:disable_jit_test PASSED in 1.1s 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0.6s //tensorflow/core/kernels:identity_op_test PASSED in 0.7s //tensorflow/core/kernels:immutable_constant_op_test PASSED in 1.1s //tensorflow/core/kernels:in_topk_op_test PASSED in 0.4s //tensorflow/core/kernels:isotonic_regression_op_test PASSED in 1.2s //tensorflow/core/kernels:logging_ops_test PASSED in 1.8s //tensorflow/core/kernels:lookup_ops_test PASSED in 0.6s //tensorflow/core/kernels:loss_test PASSED in 0.1s //tensorflow/core/kernels:lrn_op_test_cpu PASSED in 0.8s //tensorflow/core/kernels:matmul_op_test_cpu PASSED in 5.2s //tensorflow/core/kernels:merge_v2_checkpoints_op_test PASSED in 1.4s //tensorflow/core/kernels:mfcc_dct_test PASSED in 0.2s //tensorflow/core/kernels:mfcc_mel_filterbank_test PASSED in 0.2s //tensorflow/core/kernels:mfcc_op_test_cpu PASSED in 2.7s //tensorflow/core/kernels:mfcc_test PASSED in 0.4s //tensorflow/core/kernels:multinomial_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:nn_ops_test_cpu PASSED in 1.3s 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//tensorflow/core/kernels:quantized_instance_norm_test PASSED in 0.8s //tensorflow/core/kernels:quantized_matmul_op_test PASSED in 0.8s //tensorflow/core/kernels:quantized_mul_op_test PASSED in 1.0s //tensorflow/core/kernels:quantized_pooling_ops_test PASSED in 0.8s //tensorflow/core/kernels:quantized_reshape_op_test PASSED in 0.9s //tensorflow/core/kernels:quantized_resize_bilinear_op_test PASSED in 1.9s //tensorflow/core/kernels:ragged_fill_empty_rows_op_test PASSED in 0.7s //tensorflow/core/kernels:ragged_gather_op_test PASSED in 0.8s //tensorflow/core/kernels:ragged_range_op_test PASSED in 1.3s //tensorflow/core/kernels:ragged_tensor_from_variant_op_test PASSED in 0.6s //tensorflow/core/kernels:ragged_tensor_to_sparse_kernel_test PASSED in 0.7s //tensorflow/core/kernels:ragged_tensor_to_tensor_op_test PASSED in 0.7s //tensorflow/core/kernels:ragged_tensor_to_variant_op_test PASSED in 1.5s //tensorflow/core/kernels:random_binomial_op_test_cpu PASSED in 1.1s //tensorflow/core/kernels:random_index_shuffle_test PASSED in 0.8s //tensorflow/core/kernels:random_op_test_cpu PASSED in 0.9s //tensorflow/core/kernels:random_poisson_op_test_cpu PASSED in 0.6s //tensorflow/core/kernels:range_sampler_test PASSED in 0.1s //tensorflow/core/kernels:reduction_ops_test_cpu PASSED in 0.9s //tensorflow/core/kernels:regex_replace_op_test PASSED in 0.6s //tensorflow/core/kernels:requantization_range_op_test PASSED in 0.7s //tensorflow/core/kernels:requantize_op_test PASSED in 1.1s //tensorflow/core/kernels:resource_ops_test PASSED in 0.9s //tensorflow/core/kernels:restore_op_test PASSED in 3.8s //tensorflow/core/kernels:restore_v2_op_test PASSED in 0.6s //tensorflow/core/kernels:reverse_op_test PASSED in 1.6s //tensorflow/core/kernels:roll_op_test PASSED in 1.1s //tensorflow/core/kernels:save_op_test PASSED in 1.3s //tensorflow/core/kernels:save_v2_op_test PASSED in 0.7s //tensorflow/core/kernels:scan_ops_test_cpu PASSED in 0.5s //tensorflow/core/kernels:scatter_nd_op_test_cpu PASSED in 0.9s //tensorflow/core/kernels:scatter_op_test PASSED in 0.9s //tensorflow/core/kernels:scoped_allocator_ops_test_cpu PASSED in 7.7s //tensorflow/core/kernels:sdca_ops_test PASSED in 3.0s //tensorflow/core/kernels:segment_reduction_ops_test PASSED in 0.7s //tensorflow/core/kernels:sendrecv_ops_test PASSED in 1.0s //tensorflow/core/kernels:sequence_ops_test PASSED in 1.4s //tensorflow/core/kernels:shape_ops_test PASSED in 0.6s //tensorflow/core/kernels:slice_op_test PASSED in 0.5s //tensorflow/core/kernels:spacetobatch_benchmark_test_cpu PASSED in 0.7s //tensorflow/core/kernels:sparse_add_op_test PASSED in 1.1s //tensorflow/core/kernels:sparse_dense_binary_op_shared_test PASSED in 0.7s //tensorflow/core/kernels:sparse_fill_empty_rows_op_test_cpu PASSED in 0.7s //tensorflow/core/kernels:sparse_matmul_op_test_cpu PASSED in 0.8s //tensorflow/core/kernels:sparse_reduce_sum_op_test PASSED in 0.6s //tensorflow/core/kernels:sparse_tensor_dense_matmul_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:sparse_to_dense_op_test_cpu PASSED in 1.1s //tensorflow/core/kernels:sparse_utils_test PASSED in 0.5s //tensorflow/core/kernels:sparse_xent_op_test_cpu PASSED in 0.9s //tensorflow/core/kernels:spectrogram_op_test_cpu PASSED in 1.8s //tensorflow/core/kernels:spectrogram_test PASSED in 0.4s //tensorflow/core/kernels:split_op_test_cpu PASSED in 1.1s //tensorflow/core/kernels:split_v_op_test_cpu PASSED in 0.6s //tensorflow/core/kernels:strided_slice_op_test PASSED in 1.6s //tensorflow/core/kernels:string_format_op_test PASSED in 1.1s //tensorflow/core/kernels:string_ngrams_op_test PASSED in 1.1s //tensorflow/core/kernels:string_split_op_test PASSED in 0.7s //tensorflow/core/kernels:substr_op_test PASSED in 0.8s //tensorflow/core/kernels:summary_audio_op_test PASSED in 1.0s //tensorflow/core/kernels:summary_image_op_test PASSED in 1.3s //tensorflow/core/kernels:summary_op_test PASSED in 0.7s //tensorflow/core/kernels:summary_tensor_op_test PASSED in 0.9s //tensorflow/core/kernels:tensor_cord_test PASSED in 0.3s //tensorflow/core/kernels:tensor_flag_utils_test PASSED in 0.1s //tensorflow/core/kernels:tensor_map_test PASSED in 0.1s //tensorflow/core/kernels:training_ops_test PASSED in 0.9s //tensorflow/core/kernels:transpose_util_test PASSED in 0.4s //tensorflow/core/kernels:unary_ops_composition_test_cpu PASSED in 3.4s //tensorflow/core/kernels:unique_op_test PASSED in 0.8s //tensorflow/core/kernels:variable_ops_test PASSED in 2.6s //tensorflow/core/kernels:while_op_test PASSED in 0.9s //tensorflow/core/kernels:xent_op_test_cpu PASSED in 1.0s //tensorflow/core/kernels/batching_util:basic_batch_scheduler_test PASSED in 0.7s //tensorflow/core/kernels/batching_util:batch_input_task_test PASSED in 1.0s //tensorflow/core/kernels/batching_util:batch_resource_base_test PASSED in 0.4s //tensorflow/core/kernels/batching_util:batch_scheduler_test PASSED in 0.6s //tensorflow/core/kernels/batching_util:bounded_executor_test PASSED in 20.4s //tensorflow/core/kernels/batching_util:input_split_metadata_test PASSED in 0.2s //tensorflow/core/kernels/batching_util:periodic_function_test PASSED in 2.3s //tensorflow/core/kernels/batching_util:serial_device_batch_scheduler_test PASSED in 2.6s //tensorflow/core/kernels/batching_util:shared_batch_scheduler_test PASSED in 4.2s //tensorflow/core/kernels/batching_util:threadsafe_status_test PASSED in 0.2s //tensorflow/core/kernels/data:batch_dataset_op_test PASSED in 1.5s //tensorflow/core/kernels/data:cache_dataset_ops_test PASSED in 1.1s //tensorflow/core/kernels/data:concatenate_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:filter_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data:finalize_dataset_op_test PASSED in 1.8s //tensorflow/core/kernels/data:fixed_length_record_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data:flat_map_dataset_op_test PASSED in 1.7s //tensorflow/core/kernels/data:get_options_op_test PASSED in 0.8s //tensorflow/core/kernels/data:interleave_dataset_op_test PASSED in 1.5s //tensorflow/core/kernels/data:iterator_ops_test PASSED in 1.3s //tensorflow/core/kernels/data:map_dataset_op_test PASSED in 1.4s //tensorflow/core/kernels/data:map_defun_op_test PASSED in 1.1s //tensorflow/core/kernels/data:optimize_dataset_op_test PASSED in 1.7s //tensorflow/core/kernels/data:options_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:padded_batch_dataset_op_test PASSED in 1.0s //tensorflow/core/kernels/data:parallel_batch_dataset_op_test PASSED in 0.9s //tensorflow/core/kernels/data:parallel_filter_dataset_op_test PASSED in 1.1s //tensorflow/core/kernels/data:parallel_interleave_dataset_op_test PASSED in 4.8s //tensorflow/core/kernels/data:parallel_map_dataset_op_test PASSED in 1.6s //tensorflow/core/kernels/data:prefetch_autotuner_test PASSED in 0.1s //tensorflow/core/kernels/data:prefetch_dataset_op_test PASSED in 2.4s //tensorflow/core/kernels/data:range_dataset_op_test PASSED in 1.5s //tensorflow/core/kernels/data:reduce_dataset_op_test PASSED in 1.8s //tensorflow/core/kernels/data:repeat_dataset_op_test PASSED in 2.2s //tensorflow/core/kernels/data:rewrite_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data:shard_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:shuffle_dataset_op_test PASSED in 1.2s //tensorflow/core/kernels/data:skip_dataset_op_test PASSED in 1.0s //tensorflow/core/kernels/data:sparse_tensor_slice_dataset_op_test PASSED in 1.2s //tensorflow/core/kernels/data:take_dataset_op_test PASSED in 2.3s //tensorflow/core/kernels/data:tensor_dataset_op_test PASSED in 1.2s //tensorflow/core/kernels/data:tensor_slice_dataset_op_test PASSED in 2.5s //tensorflow/core/kernels/data:text_line_dataset_op_test PASSED in 1.9s //tensorflow/core/kernels/data:tf_record_dataset_op_test PASSED in 1.4s //tensorflow/core/kernels/data:window_dataset_op_test PASSED in 1.1s //tensorflow/core/kernels/data:zip_dataset_op_test PASSED in 2.0s //tensorflow/core/kernels/data/experimental:assert_next_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data/experimental:assert_prev_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data/experimental:auto_shard_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data/experimental:directed_interleave_dataset_op_test PASSED in 0.9s //tensorflow/core/kernels/data/experimental:list_dataset_op_test PASSED in 2.0s //tensorflow/core/kernels/data/experimental:map_and_batch_dataset_op_test PASSED in 1.7s //tensorflow/core/kernels/data/experimental:parallel_interleave_dataset_op_test PASSED in 1.4s //tensorflow/core/kernels/data/experimental:random_dataset_op_test PASSED in 1.3s //tensorflow/core/kernels/data/experimental:sampling_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data/experimental:save_dataset_op_test PASSED in 1.0s //tensorflow/core/kernels/data/experimental:unique_dataset_op_test PASSED in 1.4s //tensorflow/core/kernels/image:adjust_contrast_op_benchmark_test_cpu PASSED in 0.9s //tensorflow/core/kernels/image:adjust_contrast_op_test PASSED in 0.9s //tensorflow/core/kernels/image:colorspace_op_test PASSED in 0.6s //tensorflow/core/kernels/image:crop_and_resize_op_benchmark_test_cpu PASSED in 1.0s //tensorflow/core/kernels/image:crop_and_resize_op_test PASSED in 1.4s //tensorflow/core/kernels/image:encode_jpeg_op_test PASSED in 0.9s //tensorflow/core/kernels/image:mirror_pad_op_benchmark_test_cpu PASSED in 1.3s //tensorflow/core/kernels/image:mirror_pad_op_test PASSED in 1.2s //tensorflow/core/kernels/image:non_max_suppression_op_benchmark_test PASSED in 0.8s //tensorflow/core/kernels/image:non_max_suppression_op_test PASSED in 2.2s //tensorflow/core/kernels/image:resize_area_op_test PASSED in 1.4s //tensorflow/core/kernels/image:resize_benchmark_test_cpu PASSED in 1.4s //tensorflow/core/kernels/image:resize_bicubic_op_test PASSED in 5.2s //tensorflow/core/kernels/image:resize_ops_test_cpu PASSED in 2.6s //tensorflow/core/kernels/image:sampling_kernels_test PASSED in 0.9s //tensorflow/core/kernels/image:scale_and_translate_op_test PASSED in 1.8s //tensorflow/core/kernels/linalg:banded_triangular_solve_op_test_cpu PASSED in 1.2s //tensorflow/core/kernels/linalg:matrix_triangular_solve_op_test_cpu PASSED in 0.6s //tensorflow/core/kernels/mkl:mkl_conv_ops_test PASSED in 0.5s //tensorflow/core/kernels/mkl:mkl_dequantize_op_test PASSED in 0.9s //tensorflow/core/kernels/mkl:mkl_fused_batch_norm_op_test PASSED in 0.3s //tensorflow/core/kernels/mkl:mkl_fused_ops_test PASSED in 1.4s //tensorflow/core/kernels/mkl:mkl_matmul_op_benchmark PASSED in 1.0s //tensorflow/core/kernels/mkl:mkl_qmatmul_op_test PASSED in 0.4s //tensorflow/core/kernels/mkl:mkl_quantize_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_quantized_concat_op_test PASSED in 0.2s //tensorflow/core/kernels/mkl:mkl_quantized_conv_ops_perchannel_test PASSED in 0.6s //tensorflow/core/kernels/mkl:mkl_quantized_conv_ops_test PASSED in 0.5s //tensorflow/core/kernels/mkl:mkl_quantized_pooling_ops_test PASSED in 0.3s //tensorflow/core/kernels/mkl:mkl_relu_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_requantize_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_swish_op_test PASSED in 0.3s //tensorflow/core/kernels/mkl:onednn_nn_ops_benchmark PASSED in 0.5s //tensorflow/core/kernels/sparse:kernels_test PASSED in 0.7s //tensorflow/core/kernels/uniform_quant_ops:math_utils_test PASSED in 0.1s //tensorflow/core/kernels/uniform_quant_ops:tensor_utils_test PASSED in 0.2s //tensorflow/core/kernels/uniform_quant_ops:uniform_dequantize_op_test PASSED in 0.5s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantize_op_test PASSED in 0.6s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_add_op_test PASSED in 0.5s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_clip_by_value_op_test PASSED in 0.8s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_convolution_ops_test PASSED in 0.8s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_dot_ops_test PASSED in 0.6s //tensorflow/core/kernels/uniform_quant_ops:uniform_requantize_op_test PASSED in 0.7s //tensorflow/core/lib/db:sqlite_test PASSED in 0.4s //tensorflow/core/lib/gif:lib_gif_io_test PASSED in 3.4s //tensorflow/core/lib/jpeg:lib_jpeg_jpeg_mem_unittest PASSED in 0.7s //tensorflow/core/ops:cudnn_rnn_ops_test_cc PASSED in 0.8s //tensorflow/core/ops:ops_array_grad_test PASSED in 1.5s //tensorflow/core/ops:ops_math_grad_test PASSED in 5.5s //tensorflow/core/ops:ops_tests PASSED in 1.6s //tensorflow/core/ops/compat:backwards_compatibility_test PASSED in 0.6s //tensorflow/core/platform:__tensorflow_tsl_platform_profile_utils_cpu_utils_test PASSED in 0.1s //tensorflow/core/platform:enable_tf2_utils_test PASSED in 0.3s //tensorflow/core/platform:env_test PASSED in 3.0s //tensorflow/core/platform:fake_python_env_test PASSED in 0.6s //tensorflow/core/platform:file_system_test PASSED in 1.1s //tensorflow/core/platform:platform_strings_test PASSED in 0.4s //tensorflow/core/platform:ram_file_system_test PASSED in 26.9s //tensorflow/core/platform:resource_loader_test PASSED in 0.4s //tensorflow/core/platform:vmodule_benchmark_test PASSED in 0.2s //tensorflow/core/platform:vmodule_test PASSED in 0.4s //tensorflow/core/profiler/backends/cpu:host_tracer_test PASSED in 0.2s //tensorflow/core/profiler/convert:hlo_proto_to_graph_view_test PASSED in 0.4s //tensorflow/core/profiler/convert:hlo_proto_to_memory_visualization_utils_test PASSED in 0.1s //tensorflow/core/profiler/convert:op_stats_to_pod_stats_test PASSED in 0.1s //tensorflow/core/profiler/convert:op_stats_to_pod_viewer_test PASSED in 0.5s //tensorflow/core/profiler/convert:op_stats_to_tf_stats_test PASSED in 0.2s //tensorflow/core/profiler/convert:xplane_to_kernel_stats_db_test PASSED in 0.2s //tensorflow/core/profiler/convert:xplane_to_memory_profile_test PASSED in 0.2s //tensorflow/core/profiler/convert:xplane_to_op_metrics_db_test PASSED in 0.2s //tensorflow/core/profiler/convert:xplane_to_op_stats_test PASSED in 0.5s //tensorflow/core/profiler/convert:xplane_to_step_events_test PASSED in 0.2s //tensorflow/core/profiler/convert:xplane_to_tf_functions_test PASSED in 0.1s //tensorflow/core/profiler/convert:xplane_to_tool_names_test PASSED in 0.1s //tensorflow/core/profiler/convert/trace_viewer:trace_viewer_visibility_test PASSED in 0.2s //tensorflow/core/profiler/internal:tfprof_show_test PASSED in 1.0s //tensorflow/core/profiler/internal:tfprof_stats_test PASSED in 1.4s //tensorflow/core/profiler/internal:tfprof_tensor_test PASSED in 0.7s //tensorflow/core/profiler/internal:tfprof_timeline_test PASSED in 0.7s //tensorflow/core/profiler/internal/advisor:tfprof_advisor_test PASSED in 1.0s //tensorflow/core/profiler/lib:profiler_disabled_test PASSED in 0.7s //tensorflow/core/profiler/utils:derived_timeline_test PASSED in 0.2s //tensorflow/core/profiler/utils:kernel_stats_utils_test PASSED in 0.1s //tensorflow/core/profiler/utils:op_metrics_db_utils_test PASSED in 0.7s //tensorflow/core/profiler/utils:step_intersection_test PASSED in 0.2s //tensorflow/core/summary:schema_test PASSED in 0.1s //tensorflow/core/summary:summary_db_writer_test PASSED in 0.2s //tensorflow/core/summary:summary_file_writer_test PASSED in 0.3s //tensorflow/core/tfrt/common:pjrt_state_test PASSED in 9.7s //tensorflow/core/tfrt/common:pjrt_util_test PASSED in 12.5s //tensorflow/core/tfrt/fallback:cost_recorder_test PASSED in 0.1s //tensorflow/core/tfrt/fallback:fallback_state_test PASSED in 0.6s //tensorflow/core/transforms:eval_utils_test PASSED in 2.2s //tensorflow/core/transforms:graph_transform_wrapper_test PASSED in 0.3s //tensorflow/core/util:bcast_test PASSED in 1.3s //tensorflow/core/util:command_line_flags_test PASSED in 0.6s //tensorflow/core/util:debug_data_dumper_test PASSED in 1.5s //tensorflow/core/util:debug_events_writer_test PASSED in 0.4s //tensorflow/core/util:dump_graph_test PASSED in 0.7s //tensorflow/core/util:equal_graph_def_test PASSED in 1.3s //tensorflow/core/util:events_writer_test PASSED in 2.8s //tensorflow/core/util:example_proto_fast_parsing_test PASSED in 1.7s //tensorflow/core/util:example_proto_helper_test PASSED in 1.0s //tensorflow/core/util:exec_on_stall_test PASSED in 2.1s //tensorflow/core/util:fake_clock_env_test PASSED in 2.6s //tensorflow/core/util:incremental_barrier_test PASSED in 0.1s //tensorflow/core/util:matmul_bcast_test PASSED in 1.2s //tensorflow/core/util:memmapped_file_system_test PASSED in 1.1s //tensorflow/core/util:overflow_test PASSED in 0.4s //tensorflow/core/util:presized_cuckoo_map_test PASSED in 2.8s //tensorflow/core/util:ragged_to_dense_util_test PASSED in 0.8s //tensorflow/core/util:reffed_status_callback_test PASSED in 0.6s 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//tensorflow/tsl/profiler/utils:xplane_builder_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:xplane_utils_test PASSED in 0.4s //tensorflow/tsl/util:device_name_utils_test PASSED in 0.2s //tensorflow/tsl/util:stats_calculator_test PASSED in 0.3s //tensorflow/compiler/tests:complex_div_test_cpu PASSED in 8.9s Stats over 2 runs: max = 8.9s, min = 8.1s, avg = 8.5s, dev = 0.4s //tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test PASSED in 13.0s Stats over 2 runs: max = 13.0s, min = 11.6s, avg = 12.3s, dev = 0.7s //tensorflow/compiler/xla/tests:conditional_test_cpu PASSED in 11.5s Stats over 2 runs: max = 11.5s, min = 11.0s, avg = 11.2s, dev = 0.3s //tensorflow/python:control_flow_ops_test_cpu PASSED in 27.7s Stats over 2 runs: max = 27.7s, min = 24.1s, avg = 25.9s, dev = 1.8s //tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 34.3s Stats over 2 runs: max = 34.3s, min = 24.6s, avg = 29.4s, dev = 4.8s //tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 16.5s Stats over 2 runs: max = 16.5s, min = 14.0s, avg = 15.2s, dev = 1.3s //tensorflow/python/data/kernel_tests:padded_batch_test PASSED in 25.0s Stats over 2 runs: max = 25.0s, min = 24.7s, avg = 24.9s, dev = 0.1s //tensorflow/python/data/kernel_tests:repeat_test PASSED in 81.0s Stats over 2 runs: max = 81.0s, min = 80.7s, avg = 80.8s, dev = 0.1s //tensorflow/python/data/kernel_tests:window_test PASSED in 50.9s Stats over 2 runs: max = 50.9s, min = 33.3s, avg = 42.1s, dev = 8.8s //tensorflow/python/distribute:strategy_common_test_2gpu PASSED in 27.9s Stats over 2 runs: max = 27.9s, min = 22.0s, avg = 25.0s, dev = 3.0s //tensorflow/python/distribute:strategy_common_test_cpu PASSED in 26.3s Stats over 2 runs: max = 26.3s, min = 20.2s, avg = 23.2s, dev = 3.0s //tensorflow/python/distribute:strategy_common_test_xla_2gpu PASSED in 15.4s Stats over 2 runs: max = 15.4s, min = 9.8s, avg = 12.6s, dev = 2.8s //tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu PASSED in 16.6s Stats over 2 runs: max = 16.6s, min = 16.4s, avg = 16.5s, dev = 0.1s //tensorflow/python/kernel_tests/array_ops:scatter_ops_test_cpu PASSED in 70.0s Stats over 2 runs: max = 70.0s, min = 68.9s, avg = 69.4s, dev = 0.6s //tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 18.0s Stats over 2 runs: max = 18.0s, min = 17.6s, avg = 17.8s, dev = 0.2s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 44.2s Stats over 2 runs: max = 44.2s, min = 43.5s, avg = 43.9s, dev = 0.4s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 135.8s Stats over 2 runs: max = 135.8s, min = 64.3s, avg = 100.1s, dev = 35.7s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 147.4s Stats over 2 runs: max = 147.4s, min = 8.0s, avg = 77.7s, dev = 69.7s //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 8.8s Stats over 3 runs: max = 8.8s, min = 8.5s, avg = 8.6s, dev = 0.2s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 17.0s Stats over 3 runs: max = 17.0s, min = 15.2s, avg = 16.3s, dev = 0.8s //tensorflow/compiler/xla/tests:triangular_solve_test_cpu PASSED in 78.4s Stats over 3 runs: max = 78.4s, min = 74.9s, avg = 77.1s, dev = 1.6s //tensorflow/core/data/service:thread_safe_buffer_test PASSED in 0.3s Stats over 3 runs: max = 0.3s, min = 0.2s, avg = 0.3s, dev = 0.0s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 17.7s Stats over 3 runs: max = 17.7s, min = 11.8s, avg = 15.5s, dev = 2.6s //tensorflow/python/data/kernel_tests:unique_test PASSED in 26.7s Stats over 3 runs: max = 26.7s, min = 23.1s, avg = 24.3s, dev = 1.7s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 41.9s Stats over 3 runs: max = 41.9s, min = 24.9s, avg = 31.5s, dev = 7.4s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 37.4s Stats over 3 runs: max = 37.4s, min = 34.8s, avg = 35.7s, dev = 1.2s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 12.5s Stats over 3 runs: max = 12.5s, min = 11.1s, avg = 11.7s, dev = 0.6s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 186.2s Stats over 3 runs: max = 186.2s, min = 10.6s, avg = 69.5s, dev = 82.5s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 14.2s Stats over 3 runs: max = 14.2s, min = 11.1s, avg = 12.3s, dev = 1.4s //tensorflow/compiler/xla/tests:dynamic_ops_test_cpu PASSED in 15.4s Stats over 4 runs: max = 15.4s, min = 13.6s, avg = 14.4s, dev = 0.7s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 1.6s Stats over 4 runs: max = 1.6s, min = 1.0s, avg = 1.3s, dev = 0.2s //tensorflow/python:nn_batchnorm_test_cpu PASSED in 18.3s Stats over 4 runs: max = 18.3s, min = 13.4s, avg = 15.8s, dev = 1.8s //tensorflow/python:nn_fused_batchnorm_d9m_test_cpu PASSED in 16.1s Stats over 4 runs: max = 16.1s, min = 14.6s, avg = 15.4s, dev = 0.6s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 44.9s Stats over 4 runs: max = 44.9s, min = 29.3s, avg = 36.7s, dev = 6.1s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 40.6s Stats over 4 runs: max = 40.6s, min = 24.6s, avg = 29.8s, dev = 6.3s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 39.0s Stats over 4 runs: max = 39.0s, min = 16.0s, avg = 27.3s, dev = 10.5s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 34.8s Stats over 4 runs: max = 34.8s, min = 22.1s, avg = 27.1s, dev = 5.0s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 104.6s Stats over 4 runs: max = 104.6s, min = 101.9s, avg = 103.4s, dev = 1.0s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 21.1s Stats over 4 runs: max = 21.1s, min = 19.1s, avg = 20.1s, dev = 1.0s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_test PASSED in 50.4s Stats over 4 runs: max = 50.4s, min = 19.6s, avg = 35.2s, dev = 13.6s //tensorflow/python/data/kernel_tests:batch_test PASSED in 33.1s Stats over 4 runs: max = 33.1s, min = 24.8s, avg = 27.0s, dev = 3.6s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 16.0s Stats over 4 runs: max = 16.0s, min = 9.3s, avg = 12.8s, dev = 3.2s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 40.3s Stats over 4 runs: max = 40.3s, min = 29.1s, avg = 33.7s, dev = 4.5s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 20.2s Stats over 4 runs: max = 20.2s, min = 7.5s, avg = 12.8s, dev = 5.4s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 19.6s Stats over 4 runs: max = 19.6s, min = 17.8s, avg = 18.5s, dev = 0.8s //tensorflow/python/data/kernel_tests:skip_test PASSED in 73.6s Stats over 4 runs: max = 73.6s, min = 66.6s, avg = 70.2s, dev = 3.1s //tensorflow/python/data/kernel_tests:take_test PASSED in 42.7s Stats over 4 runs: max = 42.7s, min = 33.0s, avg = 39.8s, dev = 4.0s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 31.6s Stats over 4 runs: max = 31.6s, min = 29.6s, avg = 30.2s, dev = 0.8s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 21.4s Stats over 4 runs: max = 21.4s, min = 15.1s, avg = 17.8s, dev = 2.7s //tensorflow/python/data/kernel_tests:zip_test PASSED in 16.4s Stats over 4 runs: max = 16.4s, min = 12.8s, avg = 14.9s, dev = 1.5s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 17.1s Stats over 4 runs: max = 17.1s, min = 15.6s, avg = 16.1s, dev = 0.6s //tensorflow/python/distribute:cross_device_ops_test_2gpu PASSED in 102.2s Stats over 4 runs: max = 102.2s, min = 89.7s, avg = 95.3s, dev = 4.5s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 27.8s Stats over 4 runs: max = 27.8s, min = 21.1s, avg = 24.4s, dev = 3.0s //tensorflow/python/distribute:strategy_gather_test_2gpu PASSED in 25.3s Stats over 4 runs: max = 25.3s, min = 14.4s, avg = 19.7s, dev = 4.4s //tensorflow/python/distribute:strategy_gather_test_cpu PASSED in 36.7s Stats over 4 runs: max = 36.7s, min = 16.1s, avg = 26.5s, dev = 10.3s //tensorflow/python/distribute:strategy_gather_test_xla_2gpu PASSED in 59.2s Stats over 4 runs: max = 59.2s, min = 45.3s, avg = 51.8s, dev = 6.5s //tensorflow/python/framework:convert_to_constants_test PASSED in 31.3s Stats over 4 runs: max = 31.3s, min = 25.9s, avg = 27.9s, dev = 2.2s //tensorflow/python/kernel_tests:collective_ops_test_2gpu PASSED in 75.8s Stats over 4 runs: max = 75.8s, min = 70.6s, avg = 73.1s, dev = 1.9s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 36.6s Stats over 4 runs: max = 36.6s, min = 33.0s, avg = 34.3s, dev = 1.5s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 15.6s Stats over 4 runs: max = 15.6s, min = 12.6s, avg = 14.1s, dev = 1.1s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 72.1s Stats over 4 runs: max = 72.1s, min = 23.3s, avg = 45.4s, dev = 20.4s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 30.7s Stats over 4 runs: max = 30.7s, min = 8.9s, avg = 17.0s, dev = 8.8s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 110.0s Stats over 4 runs: max = 110.0s, min = 17.9s, avg = 54.1s, dev = 36.8s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 69.1s Stats over 4 runs: max = 69.1s, min = 67.5s, avg = 68.4s, dev = 0.7s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 90.9s Stats over 4 runs: max = 90.9s, min = 9.7s, avg = 45.2s, dev = 36.1s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 17.6s Stats over 4 runs: max = 17.6s, min = 17.4s, avg = 17.5s, dev = 0.1s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 72.4s Stats over 4 runs: max = 72.4s, min = 18.5s, avg = 41.8s, dev = 19.4s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 46.2s Stats over 4 runs: max = 46.2s, min = 44.5s, avg = 45.4s, dev = 0.8s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 10.3s Stats over 5 runs: max = 10.3s, min = 5.4s, avg = 7.2s, dev = 1.7s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 14.6s Stats over 5 runs: max = 14.6s, min = 6.3s, avg = 10.0s, dev = 3.8s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 15.9s Stats over 5 runs: max = 15.9s, min = 6.6s, avg = 10.6s, dev = 4.0s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 14.0s Stats over 5 runs: max = 14.0s, min = 8.4s, avg = 10.9s, dev = 2.1s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 16.0s Stats over 5 runs: max = 16.0s, min = 8.5s, avg = 11.4s, dev = 2.8s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 8.3s Stats over 5 runs: max = 8.3s, min = 7.2s, avg = 7.8s, dev = 0.4s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 9.4s Stats over 5 runs: max = 9.4s, min = 8.7s, avg = 9.1s, dev = 0.2s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 8.0s Stats over 5 runs: max = 8.0s, min = 6.7s, avg = 7.2s, dev = 0.5s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 10.9s Stats over 5 runs: max = 10.9s, min = 9.9s, avg = 10.4s, dev = 0.4s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 13.6s Stats over 5 runs: max = 13.6s, min = 10.9s, avg = 12.2s, dev = 0.8s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 8.1s Stats over 5 runs: max = 8.1s, min = 6.5s, avg = 7.1s, dev = 0.5s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 8.3s Stats over 5 runs: max = 8.3s, min = 6.5s, avg = 7.1s, dev = 0.6s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 102.8s Stats over 5 runs: max = 102.8s, min = 13.8s, avg = 46.3s, dev = 30.5s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 102.4s Stats over 5 runs: max = 102.4s, min = 13.3s, avg = 45.2s, dev = 30.8s //tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu PASSED in 31.6s Stats over 5 runs: max = 31.6s, min = 14.9s, avg = 25.0s, dev = 7.0s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 4.6s Stats over 5 runs: max = 4.6s, min = 2.5s, avg = 3.2s, dev = 0.9s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 10.8s Stats over 5 runs: max = 10.8s, min = 10.2s, avg = 10.6s, dev = 0.2s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 12.7s Stats over 5 runs: max = 12.7s, min = 11.0s, avg = 12.1s, dev = 0.6s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 12.5s Stats over 5 runs: max = 12.5s, min = 11.6s, avg = 12.2s, dev = 0.3s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 19.3s Stats over 5 runs: max = 19.3s, min = 14.9s, avg = 16.8s, dev = 1.6s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 20.0s Stats over 5 runs: max = 20.0s, min = 14.2s, avg = 17.0s, dev = 2.2s //tensorflow/python/distribute:vars_test_2gpu PASSED in 15.8s Stats over 5 runs: max = 15.8s, min = 14.1s, avg = 15.2s, dev = 0.6s //tensorflow/python/distribute:vars_test_cpu PASSED in 16.4s Stats over 5 runs: max = 16.4s, min = 14.0s, avg = 15.1s, dev = 1.0s //tensorflow/python/eager:device_placement_test_cpu PASSED in 41.2s Stats over 5 runs: max = 41.2s, min = 39.4s, avg = 40.4s, dev = 0.7s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 122.2s Stats over 5 runs: max = 122.2s, min = 15.8s, avg = 50.9s, dev = 37.0s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 15.3s Stats over 5 runs: max = 15.3s, min = 10.0s, avg = 12.7s, dev = 2.3s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 124.7s Stats over 5 runs: max = 124.7s, min = 71.7s, avg = 90.1s, dev = 19.0s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 29.5s Stats over 5 runs: max = 29.5s, min = 26.5s, avg = 28.8s, dev = 1.2s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 38.0s Stats over 5 runs: max = 38.0s, min = 35.5s, avg = 36.8s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 23.0s Stats over 5 runs: max = 23.0s, min = 18.9s, avg = 20.7s, dev = 1.3s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 25.3s Stats over 5 runs: max = 25.3s, min = 24.6s, avg = 25.0s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 30.6s Stats over 5 runs: max = 30.6s, min = 26.4s, avg = 28.7s, dev = 1.5s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 27.6s Stats over 5 runs: max = 27.6s, min = 26.1s, avg = 26.7s, dev = 0.5s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 33.1s Stats over 5 runs: max = 33.1s, min = 26.4s, avg = 30.3s, dev = 2.2s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 25.3s Stats over 5 runs: max = 25.3s, min = 19.9s, avg = 22.9s, dev = 1.8s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 16.1s Stats over 5 runs: max = 16.1s, min = 12.0s, avg = 13.5s, dev = 1.4s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 80.1s Stats over 5 runs: max = 80.1s, min = 71.4s, avg = 76.4s, dev = 3.2s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 8.2s Stats over 5 runs: max = 8.2s, min = 7.4s, avg = 7.6s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 13.0s Stats over 5 runs: max = 13.0s, min = 10.8s, avg = 12.3s, dev = 0.8s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 16.6s Stats over 5 runs: max = 16.6s, min = 7.0s, avg = 9.6s, dev = 3.6s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 19.2s Stats over 5 runs: max = 19.2s, min = 7.7s, avg = 10.3s, dev = 4.5s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 33.5s Stats over 5 runs: max = 33.5s, min = 8.0s, avg = 13.9s, dev = 9.8s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 79.0s Stats over 5 runs: max = 79.0s, min = 24.2s, avg = 46.6s, dev = 19.8s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 15.6s Stats over 6 runs: max = 15.6s, min = 10.2s, avg = 12.5s, dev = 1.7s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 20.0s Stats over 6 runs: max = 20.0s, min = 12.5s, avg = 16.8s, dev = 2.3s //tensorflow/python:accumulate_n_benchmark_cpu PASSED in 8.0s Stats over 6 runs: max = 8.0s, min = 7.3s, avg = 7.6s, dev = 0.2s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 28.3s Stats over 6 runs: max = 28.3s, min = 10.2s, avg = 19.0s, dev = 6.2s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 84.3s Stats over 6 runs: max = 84.3s, min = 7.5s, avg = 23.1s, dev = 27.5s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 52.9s Stats over 6 runs: max = 52.9s, min = 23.5s, avg = 36.5s, dev = 9.2s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 12.2s Stats over 7 runs: max = 12.2s, min = 7.4s, avg = 9.2s, dev = 1.8s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 57.0s Stats over 8 runs: max = 57.0s, min = 9.6s, avg = 25.3s, dev = 16.1s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 87.7s Stats over 8 runs: max = 87.7s, min = 5.8s, avg = 31.7s, dev = 27.7s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 26.8s Stats over 8 runs: max = 26.8s, min = 8.1s, avg = 14.8s, dev = 7.0s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 52.5s Stats over 8 runs: max = 52.5s, min = 34.5s, avg = 42.6s, dev = 5.9s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 43.6s Stats over 8 runs: max = 43.6s, min = 10.7s, avg = 27.8s, dev = 14.0s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 54.0s Stats over 8 runs: max = 54.0s, min = 24.1s, avg = 30.6s, dev = 9.5s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 24.8s Stats over 8 runs: max = 24.8s, min = 6.3s, avg = 12.6s, dev = 6.8s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 22.7s Stats over 8 runs: max = 22.7s, min = 15.8s, avg = 18.4s, dev = 2.4s //tensorflow/python/data/kernel_tests:filter_test PASSED in 13.7s Stats over 8 runs: max = 13.7s, min = 12.0s, avg = 12.7s, dev = 0.5s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 21.5s Stats over 8 runs: max = 21.5s, min = 13.6s, avg = 16.8s, dev = 3.1s //tensorflow/python/data/kernel_tests:shard_test PASSED in 25.1s Stats over 8 runs: max = 25.1s, min = 18.0s, avg = 21.8s, dev = 2.3s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 63.0s Stats over 8 runs: max = 63.0s, min = 27.2s, avg = 32.8s, dev = 11.5s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 23.4s Stats over 8 runs: max = 23.4s, min = 11.3s, avg = 17.6s, dev = 3.1s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 104.4s Stats over 8 runs: max = 104.4s, min = 21.1s, avg = 50.5s, dev = 31.9s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 78.2s Stats over 8 runs: max = 78.2s, min = 61.8s, avg = 70.3s, dev = 6.0s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 60.9s Stats over 8 runs: max = 60.9s, min = 47.1s, avg = 54.3s, dev = 5.2s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 53.6s Stats over 8 runs: max = 53.6s, min = 37.7s, avg = 44.4s, dev = 6.1s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 45.9s Stats over 8 runs: max = 45.9s, min = 6.8s, avg = 13.4s, dev = 12.9s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 7.8s Stats over 8 runs: max = 7.8s, min = 3.4s, avg = 5.3s, dev = 1.5s //tensorflow/python/kernel_tests/signal:fft_ops_test_cpu PASSED in 27.2s Stats over 8 runs: max = 27.2s, min = 12.4s, avg = 18.0s, dev = 5.4s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 45.0s Stats over 8 runs: max = 45.0s, min = 28.6s, avg = 35.7s, dev = 5.4s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 25.8s Stats over 8 runs: max = 25.8s, min = 11.8s, avg = 15.7s, dev = 4.1s //tensorflow/dtensor/python/tests:input_util_test FLAKY, failed in 1 out of 9 in 23.6s Stats over 9 runs: max = 23.6s, min = 14.5s, avg = 18.7s, dev = 2.8s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/dtensor/python/tests/input_util_test/shard_1_of_8/test_attempts/attempt_1.log //tensorflow/python/distribute/failure_handling:failure_handler_test FLAKY, failed in 1 out of 9 in 61.1s Stats over 9 runs: max = 61.1s, min = 23.4s, avg = 44.3s, dev = 10.9s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/distribute/failure_handling/failure_handler_test/shard_5_of_8/test_attempts/attempt_1.log //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 7.0s Stats over 10 runs: max = 7.0s, min = 5.5s, avg = 6.3s, dev = 0.4s //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 8.1s Stats over 10 runs: max = 8.1s, min = 6.2s, avg = 7.0s, dev = 0.6s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 7.8s Stats over 10 runs: max = 7.8s, min = 7.0s, avg = 7.3s, dev = 0.2s //tensorflow/compiler/tests:image_ops_test_cpu PASSED in 16.8s Stats over 10 runs: max = 16.8s, min = 11.2s, avg = 13.8s, dev = 1.7s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 24.4s Stats over 10 runs: max = 24.4s, min = 14.4s, avg = 19.8s, dev = 3.8s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 22.8s Stats over 10 runs: max = 22.8s, min = 11.5s, avg = 17.3s, dev = 3.4s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 64.7s Stats over 10 runs: max = 64.7s, min = 32.8s, avg = 48.2s, dev = 10.0s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 102.8s Stats over 10 runs: max = 102.8s, min = 48.6s, avg = 72.7s, dev = 18.3s //tensorflow/compiler/xla/client/lib:svd_test_cpu PASSED in 86.0s Stats over 10 runs: max = 86.0s, min = 9.1s, avg = 30.7s, dev = 28.7s //tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu PASSED in 11.6s Stats over 10 runs: max = 11.6s, min = 10.8s, avg = 11.2s, dev = 0.2s //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 13.0s Stats over 10 runs: max = 13.0s, min = 1.3s, avg = 8.9s, dev = 3.9s //tensorflow/python:special_math_ops_test_cpu PASSED in 51.0s Stats over 10 runs: max = 51.0s, min = 8.2s, avg = 15.4s, dev = 12.3s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 33.1s Stats over 10 runs: max = 33.1s, min = 15.2s, avg = 23.4s, dev = 6.6s //tensorflow/python/distribute:input_lib_test_2gpu PASSED in 130.9s Stats over 10 runs: max = 130.9s, min = 118.1s, avg = 123.2s, dev = 3.6s //tensorflow/python/distribute:input_lib_test_cpu PASSED in 29.4s Stats over 10 runs: max = 29.4s, min = 24.5s, avg = 27.1s, dev = 1.8s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 20.9s Stats over 10 runs: max = 20.9s, min = 8.8s, avg = 13.9s, dev = 4.1s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 18.7s Stats over 10 runs: max = 18.7s, min = 7.2s, avg = 12.8s, dev = 3.7s //tensorflow/python/framework:config_vgpu_test_2gpu PASSED in 7.3s Stats over 10 runs: max = 7.3s, min = 6.0s, avg = 6.8s, dev = 0.4s //tensorflow/python/framework:config_vgpu_test_cpu PASSED in 7.2s Stats over 10 runs: max = 7.2s, min = 4.1s, avg = 5.9s, dev = 1.1s //tensorflow/python/framework:function_test_cpu PASSED in 61.9s Stats over 10 runs: max = 61.9s, min = 7.1s, avg = 14.0s, dev = 16.2s //tensorflow/python/grappler:cluster_test_cpu PASSED in 8.1s Stats over 10 runs: max = 8.1s, min = 7.2s, avg = 7.7s, dev = 0.3s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 13.9s Stats over 10 runs: max = 13.9s, min = 9.4s, avg = 11.7s, dev = 1.7s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 7.7s Stats over 10 runs: max = 7.7s, min = 6.4s, avg = 6.8s, dev = 0.4s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 10.4s Stats over 10 runs: max = 10.4s, min = 6.9s, avg = 8.5s, dev = 1.2s //tensorflow/python/kernel_tests/linalg:linear_operator_kronecker_test_cpu PASSED in 31.8s Stats over 10 runs: max = 31.8s, min = 28.1s, avg = 30.1s, dev = 1.4s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 89.8s Stats over 10 runs: max = 89.8s, min = 67.4s, avg = 79.0s, dev = 7.4s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 133.8s Stats over 10 runs: max = 133.8s, min = 5.4s, avg = 19.6s, dev = 38.1s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 37.1s Stats over 10 runs: max = 37.1s, min = 8.7s, avg = 21.7s, dev = 9.1s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 25.4s Stats over 10 runs: max = 25.4s, min = 3.9s, avg = 13.5s, dev = 7.9s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu PASSED in 30.9s Stats over 10 runs: max = 30.9s, min = 7.2s, avg = 13.1s, dev = 8.5s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 11.2s Stats over 10 runs: max = 11.2s, min = 8.3s, avg = 9.9s, dev = 0.8s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 10.7s Stats over 10 runs: max = 10.7s, min = 6.8s, avg = 9.1s, dev = 1.2s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 99.0s Stats over 10 runs: max = 99.0s, min = 21.6s, avg = 59.9s, dev = 36.5s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 18.8s Stats over 10 runs: max = 18.8s, min = 12.4s, avg = 15.4s, dev = 1.9s //tensorflow/python/saved_model:load_test_cpu PASSED in 49.3s Stats over 10 runs: max = 49.3s, min = 25.0s, avg = 30.5s, dev = 6.4s //tensorflow/compiler/tests:fft_test_cpu PASSED in 21.4s Stats over 12 runs: max = 21.4s, min = 6.6s, avg = 14.0s, dev = 5.9s //tensorflow/compiler/xla/service:triangular_solve_expander_test PASSED in 5.7s Stats over 12 runs: max = 5.7s, min = 3.1s, avg = 4.1s, dev = 0.9s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 20.0s Stats over 12 runs: max = 20.0s, min = 6.2s, avg = 11.6s, dev = 4.4s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 12.1s Stats over 12 runs: max = 12.1s, min = 6.9s, avg = 9.2s, dev = 1.6s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 22.1s Stats over 12 runs: max = 22.1s, min = 10.3s, avg = 13.1s, dev = 4.1s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 224.7s Stats over 12 runs: max = 224.7s, min = 11.9s, avg = 49.8s, dev = 58.5s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 224.5s Stats over 12 runs: max = 224.5s, min = 14.4s, avg = 51.5s, dev = 58.1s //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 19.2s Stats over 15 runs: max = 19.2s, min = 13.2s, avg = 16.6s, dev = 1.5s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 62.1s Stats over 15 runs: max = 62.1s, min = 53.5s, avg = 57.3s, dev = 2.2s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 50.6s Stats over 15 runs: max = 50.6s, min = 7.2s, avg = 17.0s, dev = 10.5s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 9.6s Stats over 16 runs: max = 9.6s, min = 3.0s, avg = 5.3s, dev = 2.0s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 9.6s Stats over 16 runs: max = 9.6s, min = 3.4s, avg = 6.4s, dev = 2.1s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 13.5s Stats over 16 runs: max = 13.5s, min = 5.2s, avg = 7.7s, dev = 2.1s //tensorflow/python:image_ops_test_cpu PASSED in 18.1s Stats over 16 runs: max = 18.1s, min = 7.4s, avg = 11.5s, dev = 2.7s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 36.0s Stats over 16 runs: max = 36.0s, min = 16.7s, avg = 26.5s, dev = 5.7s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 22.0s Stats over 16 runs: max = 22.0s, min = 7.2s, avg = 14.4s, dev = 5.1s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 25.9s Stats over 16 runs: max = 25.9s, min = 11.7s, avg = 17.1s, dev = 3.6s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 28.1s Stats over 16 runs: max = 28.1s, min = 6.6s, avg = 9.6s, dev = 4.9s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 8.7s Stats over 16 runs: max = 8.7s, min = 3.5s, avg = 5.8s, dev = 1.9s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 11.4s Stats over 16 runs: max = 11.4s, min = 8.0s, avg = 10.0s, dev = 1.0s //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu PASSED in 51.4s Stats over 16 runs: max = 51.4s, min = 11.1s, avg = 18.3s, dev = 9.0s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 17.1s Stats over 17 runs: max = 17.1s, min = 4.5s, avg = 7.1s, dev = 2.7s //tensorflow/python/data/kernel_tests:map_test PASSED in 39.8s Stats over 19 runs: max = 39.8s, min = 11.6s, avg = 18.6s, dev = 6.5s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 7.3s Stats over 20 runs: max = 7.3s, min = 3.3s, avg = 4.3s, dev = 1.1s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 7.1s Stats over 20 runs: max = 7.1s, min = 3.3s, avg = 4.5s, dev = 1.1s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 12.5s Stats over 20 runs: max = 12.5s, min = 3.1s, avg = 5.2s, dev = 2.3s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 14.2s Stats over 20 runs: max = 14.2s, min = 3.6s, avg = 6.4s, dev = 2.3s //tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu PASSED in 14.3s Stats over 20 runs: max = 14.3s, min = 10.4s, avg = 12.6s, dev = 1.1s //tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 19.9s Stats over 20 runs: max = 19.9s, min = 12.2s, avg = 15.0s, dev = 1.8s //tensorflow/compiler/xla/tests:dot_operation_test_cpu PASSED in 19.0s Stats over 20 runs: max = 19.0s, min = 12.0s, avg = 14.2s, dev = 1.6s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 12.6s Stats over 20 runs: max = 12.6s, min = 8.8s, avg = 10.4s, dev = 1.0s //tensorflow/compiler/xla/tests:reduce_window_test_cpu PASSED in 42.7s Stats over 20 runs: max = 42.7s, min = 8.9s, avg = 18.9s, dev = 10.5s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 22.1s Stats over 20 runs: max = 22.1s, min = 16.1s, avg = 18.9s, dev = 1.6s //tensorflow/python/kernel_tests:metrics_test PASSED in 39.1s Stats over 20 runs: max = 39.1s, min = 8.4s, avg = 18.1s, dev = 9.1s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 7.9s Stats over 20 runs: max = 7.9s, min = 5.3s, avg = 6.3s, dev = 0.6s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 16.0s Stats over 20 runs: max = 16.0s, min = 3.4s, avg = 6.7s, dev = 3.1s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 46.8s Stats over 20 runs: max = 46.8s, min = 5.8s, avg = 16.1s, dev = 13.6s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 105.2s Stats over 20 runs: max = 105.2s, min = 29.4s, avg = 60.5s, dev = 23.7s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 8.3s Stats over 20 runs: max = 8.3s, min = 3.8s, avg = 5.6s, dev = 1.6s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 14.7s Stats over 20 runs: max = 14.7s, min = 7.7s, avg = 10.7s, dev = 2.2s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 166.9s Stats over 20 runs: max = 166.9s, min = 30.4s, avg = 102.3s, dev = 46.0s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 20.9s Stats over 20 runs: max = 20.9s, min = 4.2s, avg = 9.6s, dev = 5.6s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 18.9s Stats over 20 runs: max = 18.9s, min = 5.9s, avg = 11.6s, dev = 4.2s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 17.5s Stats over 20 runs: max = 17.5s, min = 13.0s, avg = 15.1s, dev = 1.1s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 103.9s Stats over 20 runs: max = 103.9s, min = 9.0s, avg = 38.2s, dev = 28.8s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 19.2s Stats over 20 runs: max = 19.2s, min = 9.2s, avg = 12.5s, dev = 2.2s //tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 20.9s Stats over 24 runs: max = 20.9s, min = 6.7s, avg = 14.8s, dev = 3.5s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 19.6s Stats over 24 runs: max = 19.6s, min = 7.8s, avg = 12.0s, dev = 3.6s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 18.0s Stats over 24 runs: max = 18.0s, min = 3.6s, avg = 8.8s, dev = 4.1s //tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu PASSED in 12.9s Stats over 25 runs: max = 12.9s, min = 10.9s, avg = 11.8s, dev = 0.6s //tensorflow/compiler/xla/tests:select_and_scatter_test_cpu PASSED in 39.9s Stats over 25 runs: max = 39.9s, min = 9.3s, avg = 14.6s, dev = 7.4s //tensorflow/compiler/xla/tests:convolution_variants_test_cpu PASSED in 14.7s Stats over 30 runs: max = 14.7s, min = 10.3s, avg = 12.5s, dev = 1.1s //tensorflow/compiler/xla/tests:iota_test_cpu PASSED in 19.3s Stats over 30 runs: max = 19.3s, min = 17.9s, avg = 18.5s, dev = 0.4s //tensorflow/compiler/xla/tests:params_test_cpu PASSED in 14.5s Stats over 30 runs: max = 14.5s, min = 9.3s, avg = 12.4s, dev = 1.7s //tensorflow/compiler/xla/tests:reshape_test_cpu PASSED in 13.7s Stats over 30 runs: max = 13.7s, min = 12.0s, avg = 12.9s, dev = 0.4s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 30.2s Stats over 30 runs: max = 30.2s, min = 5.8s, avg = 12.1s, dev = 6.6s //tensorflow/compiler/xla/tests:reduce_test_cpu PASSED in 16.0s Stats over 31 runs: max = 16.0s, min = 9.9s, avg = 12.7s, dev = 1.5s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 21.0s Stats over 32 runs: max = 21.0s, min = 3.1s, avg = 6.4s, dev = 4.2s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 28.8s Stats over 32 runs: max = 28.8s, min = 3.2s, avg = 7.5s, dev = 5.5s //tensorflow/compiler/xla/tests:scalar_computations_test_cpu PASSED in 16.7s Stats over 32 runs: max = 16.7s, min = 10.0s, avg = 11.6s, dev = 1.4s //tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 21.1s Stats over 32 runs: max = 21.1s, min = 4.1s, avg = 13.4s, dev = 4.5s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 28.6s Stats over 32 runs: max = 28.6s, min = 7.1s, avg = 16.1s, dev = 5.8s //tensorflow/compiler/xla/tests:batch_normalization_test_cpu PASSED in 15.2s Stats over 40 runs: max = 15.2s, min = 10.6s, avg = 12.7s, dev = 1.2s //tensorflow/compiler/xla/tests:bfloat16_test_cpu PASSED in 14.0s Stats over 40 runs: max = 14.0s, min = 10.1s, avg = 12.4s, dev = 1.1s //tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu PASSED in 16.4s Stats over 40 runs: max = 16.4s, min = 13.4s, avg = 14.7s, dev = 0.9s //tensorflow/compiler/xla/tests:slice_test_cpu PASSED in 42.6s Stats over 40 runs: max = 42.6s, min = 10.3s, avg = 18.4s, dev = 5.5s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 42.4s Stats over 50 runs: max = 42.4s, min = 19.9s, avg = 28.7s, dev = 5.7s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 40.8s Stats over 50 runs: max = 40.8s, min = 2.8s, avg = 10.5s, dev = 8.0s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 45.8s Stats over 50 runs: max = 45.8s, min = 2.7s, avg = 10.3s, dev = 8.9s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 16.6s Stats over 50 runs: max = 16.6s, min = 11.5s, avg = 13.8s, dev = 1.2s //tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu PASSED in 20.1s Stats over 50 runs: max = 20.1s, min = 16.4s, avg = 18.4s, dev = 0.9s //tensorflow/compiler/xla/tests:convolution_test_cpu PASSED in 23.2s Stats over 50 runs: max = 23.2s, min = 17.4s, avg = 19.3s, dev = 1.3s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 15.9s Stats over 50 runs: max = 15.9s, min = 4.6s, avg = 8.8s, dev = 2.7s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 7.2s Stats over 50 runs: max = 7.2s, min = 3.1s, avg = 4.3s, dev = 0.9s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 7.4s Stats over 50 runs: max = 7.4s, min = 2.9s, avg = 4.8s, dev = 1.4s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 28.6s Stats over 50 runs: max = 28.6s, min = 7.2s, avg = 14.5s, dev = 5.4s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 14.6s Stats over 50 runs: max = 14.6s, min = 3.2s, avg = 4.9s, dev = 1.7s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 13.2s Stats over 50 runs: max = 13.2s, min = 3.3s, avg = 5.2s, dev = 2.5s Executed 3773 out of 3773 tests: 3773 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.