==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 4 of 8): 2023-03-12 04:48:07.838421: 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 3.10.10: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetEager I0312 04:48:14.059274 281473204843392 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:14.059530 281473204843392 mesh_util.py:36] Number of global CPU devices: 16 I0312 04:48:14.059693 281473204843392 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0312 04:48:14.060254 281473204843392 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0312 04:48:14.060445 281473204843392 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'] 2023-03-12 04:48:14.540521: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:14.618955: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:14.690277: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:14.761023: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:14.826858: 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}}]] 2023-03-12 04:48:14.827823: 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}}]] 2023-03-12 04:48:14.916039: 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}}]] 2023-03-12 04:48:14.917025: 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}}]] 2023-03-12 04:48:14.998469: 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}}]] 2023-03-12 04:48:14.999445: 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}}]] 2023-03-12 04:48:15.084777: 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}}]] 2023-03-12 04:48:15.085722: 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}}]] 2023-03-12 04:48:15.152843: 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}}]] 2023-03-12 04:48:15.153761: 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}}]] 2023-03-12 04:48:15.233896: 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}}]] 2023-03-12 04:48:15.234887: 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}}]] 2023-03-12 04:48:15.303710: 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}}]] 2023-03-12 04:48:15.304663: 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}}]] 2023-03-12 04:48:15.382411: 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}}]] 2023-03-12 04:48:15.383376: 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}}]] 2023-03-12 04:48:15.451299: 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}}]] 2023-03-12 04:48:15.452282: 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}}]] 2023-03-12 04:48:15.519249: 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}}]] 2023-03-12 04:48:15.520203: 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}}]] 2023-03-12 04:48:15.586571: 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}}]] 2023-03-12 04:48:15.587515: 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}}]] 2023-03-12 04:48:15.653043: 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}}]] 2023-03-12 04:48:15.654004: 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}}]] 2023-03-12 04:48:15.732065: 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}}]] 2023-03-12 04:48:15.733035: 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}}]] 2023-03-12 04:48:15.802885: 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}}]] 2023-03-12 04:48:15.803830: 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}}]] 2023-03-12 04:48:15.869723: 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}}]] 2023-03-12 04:48:15.870738: 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}}]] 2023-03-12 04:48:15.940670: 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}}]] 2023-03-12 04:48:15.941592: 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}}]] 2023-03-12 04:48:16.183033: 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.testIterOnBatchedDatasetEager): 2.59s I0312 04:48:16.643863 281473204843392 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetEager): 2.59s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetEager [ RUN ] DTensorDatasetTest.testIterTupleInputsEager I0312 04:48:16.646180 281473204843392 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:16.646356 281473204843392 mesh_util.py:36] Number of global CPU devices: 16 I0312 04:48:16.646513 281473204843392 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0312 04:48:16.646961 281473204843392 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0312 04:48:16.647106 281473204843392 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'] 2023-03-12 04:48:16.923119: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:16.999734: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:17.070956: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:17.141861: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:17.201647: 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}}]] 2023-03-12 04:48:17.202652: 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}}]] 2023-03-12 04:48:17.276956: 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}}]] 2023-03-12 04:48:17.277931: 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}}]] 2023-03-12 04:48:17.347253: 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}}]] 2023-03-12 04:48:17.348220: 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}}]] 2023-03-12 04:48:17.453774: 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}}]] 2023-03-12 04:48:17.454753: 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}}]] 2023-03-12 04:48:17.526890: 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}}]] 2023-03-12 04:48:17.527820: 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}}]] 2023-03-12 04:48:17.598409: 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}}]] 2023-03-12 04:48:17.599368: 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}}]] 2023-03-12 04:48:17.667955: 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}}]] 2023-03-12 04:48:17.668959: 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}}]] 2023-03-12 04:48:17.739847: 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}}]] 2023-03-12 04:48:17.740832: 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}}]] 2023-03-12 04:48:17.824901: 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}}]] 2023-03-12 04:48:17.825893: 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}}]] 2023-03-12 04:48:17.896658: 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}}]] 2023-03-12 04:48:17.897635: 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}}]] 2023-03-12 04:48:18.026186: 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}}]] 2023-03-12 04:48:18.027130: 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}}]] 2023-03-12 04:48:18.096416: 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}}]] 2023-03-12 04:48:18.097426: 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}}]] 2023-03-12 04:48:18.230789: 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}}]] 2023-03-12 04:48:18.231768: 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}}]] 2023-03-12 04:48:18.300685: 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}}]] 2023-03-12 04:48:18.301625: 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}}]] 2023-03-12 04:48:18.526862: 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}}]] 2023-03-12 04:48:18.527846: 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}}]] 2023-03-12 04:48:18.610346: 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}}]] 2023-03-12 04:48:18.611269: 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}}]] 2023-03-12 04:48:18.773457: 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.testIterTupleInputsEager): 2.53s I0312 04:48:19.176688 281473204843392 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterTupleInputsEager): 2.53s [ OK ] DTensorDatasetTest.testIterTupleInputsEager [ RUN ] DTensorDatasetTest.testIterWithLayouts4 (images_sharding=['unsharded', 'height', 'width', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False) I0312 04:48:19.178684 281473204843392 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:19.178841 281473204843392 mesh_util.py:36] Number of global CPU devices: 16 I0312 04:48:19.178996 281473204843392 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0312 04:48:19.179479 281473204843392 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0312 04:48:19.179621 281473204843392 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'] 2023-03-12 04:48:19.464681: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:19.528185: 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}}]] 2023-03-12 04:48:19.529139: 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}}]] 2023-03-12 04:48:19.601305: 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}}]] 2023-03-12 04:48:19.602274: 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}}]] 2023-03-12 04:48:19.699079: 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}}]] 2023-03-12 04:48:19.700103: 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}}]] 2023-03-12 04:48:19.770622: 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}}]] 2023-03-12 04:48:19.771602: 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}}]] 2023-03-12 04:48:19.841616: 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}}]] 2023-03-12 04:48:19.842566: 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}}]] 2023-03-12 04:48:19.945782: 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}}]] 2023-03-12 04:48:19.946988: 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}}]] 2023-03-12 04:48:20.067279: 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}}]] 2023-03-12 04:48:20.068224: 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}}]] 2023-03-12 04:48:20.132255: 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}}]] 2023-03-12 04:48:20.133205: 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}}]] 2023-03-12 04:48:20.208735: 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}}]] 2023-03-12 04:48:20.209703: 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}}]] 2023-03-12 04:48:20.279308: 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}}]] 2023-03-12 04:48:20.280263: 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}}]] 2023-03-12 04:48:20.375759: 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}}]] 2023-03-12 04:48:20.376807: 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}}]] 2023-03-12 04:48:20.444253: 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}}]] 2023-03-12 04:48:20.445223: 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}}]] 2023-03-12 04:48:20.511530: 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}}]] 2023-03-12 04:48:20.512473: 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}}]] 2023-03-12 04:48:20.590297: 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}}]] 2023-03-12 04:48:20.591311: 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}}]] 2023-03-12 04:48:20.665845: 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}}]] 2023-03-12 04:48:20.666844: 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}}]] 2023-03-12 04:48:20.749608: 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}}]] 2023-03-12 04:48:20.750639: 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}}]] 2023-03-12 04:48:21.074110: 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.testIterWithLayouts4 (images_sharding=['unsharded', 'height', 'width', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False)): 2.48s I0312 04:48:21.658592 281473204843392 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts4 (images_sharding=['unsharded', 'height', 'width', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False)): 2.48s [ OK ] DTensorDatasetTest.testIterWithLayouts4 (images_sharding=['unsharded', 'height', 'width', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False) [ RUN ] DTensorDatasetTest.testRangeIterationEager I0312 04:48:21.660245 281473204843392 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:21.660427 281473204843392 mesh_util.py:36] Number of global CPU devices: 16 I0312 04:48:21.660586 281473204843392 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0312 04:48:21.661042 281473204843392 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0312 04:48:21.661190 281473204843392 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'] 2023-03-12 04:48:22.091421: 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}}]] 2023-03-12 04:48:22.149047: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:22.207829: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:22.263658: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:22.318609: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:22.361912: 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}}]] 2023-03-12 04:48:22.362692: 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}}]] 2023-03-12 04:48:22.458879: 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}}]] 2023-03-12 04:48:22.459659: 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}}]] 2023-03-12 04:48:22.560681: 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}}]] 2023-03-12 04:48:22.561513: 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}}]] 2023-03-12 04:48:22.627202: 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}}]] 2023-03-12 04:48:22.628038: 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}}]] 2023-03-12 04:48:22.690991: 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}}]] 2023-03-12 04:48:22.691800: 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}}]] 2023-03-12 04:48:22.773767: 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}}]] 2023-03-12 04:48:22.774571: 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}}]] 2023-03-12 04:48:22.876708: 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}}]] 2023-03-12 04:48:22.877444: 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}}]] 2023-03-12 04:48:23.173020: 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}}]] 2023-03-12 04:48:23.173815: 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}}]] 2023-03-12 04:48:23.231150: 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}}]] 2023-03-12 04:48:23.231911: 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}}]] 2023-03-12 04:48:23.290149: 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}}]] 2023-03-12 04:48:23.290913: 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}}]] 2023-03-12 04:48:23.350592: 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}}]] 2023-03-12 04:48:23.351375: 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}}]] 2023-03-12 04:48:23.428138: 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}}]] 2023-03-12 04:48:23.428936: 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}}]] 2023-03-12 04:48:23.486000: 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}}]] 2023-03-12 04:48:23.486859: 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}}]] 2023-03-12 04:48:23.543395: 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}}]] 2023-03-12 04:48:23.544176: 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}}]] 2023-03-12 04:48:23.602482: 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}}]] 2023-03-12 04:48:23.603281: 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}}]] 2023-03-12 04:48:23.696107: 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}}]] 2023-03-12 04:48:23.696927: 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}}]] 2023-03-12 04:48:24.122837: E tensorflow/dtensor/cc/dtensor_device.cc:2032] Encountered error while executing function: CopyToMesh__func_5950845106898307211_6858324592425701659_10 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_12989052755378955192_1628789561242421788_9}} 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. 2023-03-12 04:48:24.136234: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:0] (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}}]] 2023-03-12 04:48:24.136300: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:11] (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}}]] 2023-03-12 04:48:24.140655: E tensorflow/dtensor/cc/dtensor_device.cc:2078] Error executing CopyToMesh {{function_node IteratorGetNext__func_12989052755378955192_1628789561242421788_9}} 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.testRangeIterationEager): 2.6s I0312 04:48:24.258797 281473204843392 test_util.py:2467] time(__main__.DTensorDatasetTest.testRangeIterationEager): 2.6s [ FAILED ] DTensorDatasetTest.testRangeIterationEager [ RUN ] InputUtilHelpersTest.testShardCounts2 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim='batch', counts=[1]) I0312 04:48:24.262417 281473204843392 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:24.262680 281473204843392 mesh_util.py:36] Number of global CPU devices: 8 I0312 04:48:24.262836 281473204843392 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0312 04:48:24.263240 281473204843392 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0312 04:48:24.263390 281473204843392 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'] INFO:tensorflow:time(__main__.InputUtilHelpersTest.testShardCounts2 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim='batch', counts=[1])): 0.0s I0312 04:48:24.263704 281473204843392 test_util.py:2467] time(__main__.InputUtilHelpersTest.testShardCounts2 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim='batch', counts=[1])): 0.0s [ OK ] InputUtilHelpersTest.testShardCounts2 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim='batch', counts=[1]) ====================================================================== ERROR: testRangeIterationEager (__main__.DTensorDatasetTest) DTensorDatasetTest.testRangeIterationEager testRangeIterationEager(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 154, in testRangeIteration 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 299, 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/tests/test_util.py", line 299, in 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/python/framework/ops.py", line 1211, in numpy maybe_arr = self._numpy() # pylint: disable=protected-access 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/python/framework/ops.py", line 1179, in _numpy raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_13230101824050524202_2386512056599665587_11}} Function was cancelled before it was started ---------------------------------------------------------------------- Ran 5 tests in 10.207s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 4 of 8): 2023-03-12 04:48:26.351763: 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 3.10.10: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetEager I0312 04:48:27.929475 281473560048512 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:27.929718 281473560048512 mesh_util.py:36] Number of global CPU devices: 16 I0312 04:48:27.929880 281473560048512 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0312 04:48:27.930444 281473560048512 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0312 04:48:27.930641 281473560048512 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'] 2023-03-12 04:48:28.439470: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:28.511123: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:28.579985: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:28.644294: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:28.703980: 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}}]] 2023-03-12 04:48:28.704930: 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}}]] 2023-03-12 04:48:28.797541: 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}}]] 2023-03-12 04:48:28.798474: 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}}]] 2023-03-12 04:48:28.870555: 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}}]] 2023-03-12 04:48:28.871526: 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}}]] 2023-03-12 04:48:28.953974: 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}}]] 2023-03-12 04:48:28.954968: 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}}]] 2023-03-12 04:48:29.132078: 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}}]] 2023-03-12 04:48:29.132973: 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}}]] 2023-03-12 04:48:29.198098: 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}}]] 2023-03-12 04:48:29.199009: 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}}]] 2023-03-12 04:48:29.272198: 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}}]] 2023-03-12 04:48:29.273149: 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}}]] 2023-03-12 04:48:29.379705: 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}}]] 2023-03-12 04:48:29.380662: 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}}]] 2023-03-12 04:48:29.470244: 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}}]] 2023-03-12 04:48:29.471186: 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}}]] 2023-03-12 04:48:29.549435: 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}}]] 2023-03-12 04:48:29.550388: 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}}]] 2023-03-12 04:48:29.614017: 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}}]] 2023-03-12 04:48:29.614940: 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}}]] 2023-03-12 04:48:29.683600: 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}}]] 2023-03-12 04:48:29.684601: 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}}]] 2023-03-12 04:48:29.749134: 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}}]] 2023-03-12 04:48:29.750063: 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}}]] 2023-03-12 04:48:29.815771: 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}}]] 2023-03-12 04:48:29.816750: 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}}]] 2023-03-12 04:48:29.886933: 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}}]] 2023-03-12 04:48:29.887999: 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}}]] 2023-03-12 04:48:30.026804: 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}}]] 2023-03-12 04:48:30.027798: 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}}]] 2023-03-12 04:48:30.281523: 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.testIterOnBatchedDatasetEager): 2.7s I0312 04:48:30.626089 281473560048512 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetEager): 2.7s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetEager [ RUN ] DTensorDatasetTest.testIterTupleInputsEager I0312 04:48:30.628024 281473560048512 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:30.628198 281473560048512 mesh_util.py:36] Number of global CPU devices: 16 I0312 04:48:30.628353 281473560048512 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0312 04:48:30.628823 281473560048512 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0312 04:48:30.628965 281473560048512 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'] 2023-03-12 04:48:30.883668: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:31.034662: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:31.318584: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:31.388424: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:31.448622: 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}}]] 2023-03-12 04:48:31.449590: 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}}]] 2023-03-12 04:48:31.523741: 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}}]] 2023-03-12 04:48:31.524695: 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}}]] 2023-03-12 04:48:31.607617: 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}}]] 2023-03-12 04:48:31.608661: 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}}]] 2023-03-12 04:48:31.682146: 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}}]] 2023-03-12 04:48:31.683177: 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}}]] 2023-03-12 04:48:31.768144: 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}}]] 2023-03-12 04:48:31.769142: 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}}]] 2023-03-12 04:48:31.845331: 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}}]] 2023-03-12 04:48:31.846425: 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}}]] 2023-03-12 04:48:31.941291: 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}}]] 2023-03-12 04:48:31.942357: 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}}]] 2023-03-12 04:48:32.022127: 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}}]] 2023-03-12 04:48:32.023221: 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}}]] 2023-03-12 04:48:32.112659: 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}}]] 2023-03-12 04:48:32.113735: 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}}]] 2023-03-12 04:48:32.205714: 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}}]] 2023-03-12 04:48:32.206823: 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}}]] 2023-03-12 04:48:32.291911: 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}}]] 2023-03-12 04:48:32.292982: 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}}]] 2023-03-12 04:48:32.386771: 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}}]] 2023-03-12 04:48:32.387920: 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}}]] 2023-03-12 04:48:32.482860: 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}}]] 2023-03-12 04:48:32.484023: 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}}]] 2023-03-12 04:48:32.564955: 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}}]] 2023-03-12 04:48:32.566071: 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}}]] 2023-03-12 04:48:32.668339: 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}}]] 2023-03-12 04:48:32.669552: 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}}]] 2023-03-12 04:48:32.752123: 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}}]] 2023-03-12 04:48:32.753259: 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}}]] 2023-03-12 04:48:33.198896: 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.testIterTupleInputsEager): 3.34s I0312 04:48:33.970994 281473560048512 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterTupleInputsEager): 3.34s [ OK ] DTensorDatasetTest.testIterTupleInputsEager [ RUN ] DTensorDatasetTest.testIterWithLayouts4 (images_sharding=['unsharded', 'height', 'width', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False) I0312 04:48:33.973526 281473560048512 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:33.973822 281473560048512 mesh_util.py:36] Number of global CPU devices: 16 I0312 04:48:33.974059 281473560048512 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0312 04:48:33.974724 281473560048512 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0312 04:48:33.974932 281473560048512 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'] 2023-03-12 04:48:34.347212: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:34.430981: 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}}]] 2023-03-12 04:48:34.432044: 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}}]] 2023-03-12 04:48:34.517642: 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}}]] 2023-03-12 04:48:34.518763: 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}}]] 2023-03-12 04:48:34.618832: 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}}]] 2023-03-12 04:48:34.619966: 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}}]] 2023-03-12 04:48:34.758841: 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}}]] 2023-03-12 04:48:34.759953: 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}}]] 2023-03-12 04:48:34.895949: 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}}]] 2023-03-12 04:48:34.897190: 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}}]] 2023-03-12 04:48:34.997331: 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}}]] 2023-03-12 04:48:34.998422: 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}}]] 2023-03-12 04:48:35.095409: 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}}]] 2023-03-12 04:48:35.096579: 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}}]] 2023-03-12 04:48:35.175686: 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}}]] 2023-03-12 04:48:35.176834: 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}}]] 2023-03-12 04:48:35.287686: 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}}]] 2023-03-12 04:48:35.288739: 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}}]] 2023-03-12 04:48:35.366060: 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}}]] 2023-03-12 04:48:35.367096: 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}}]] 2023-03-12 04:48:35.444536: 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}}]] 2023-03-12 04:48:35.445565: 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}}]] 2023-03-12 04:48:35.521898: 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}}]] 2023-03-12 04:48:35.523016: 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}}]] 2023-03-12 04:48:35.606992: 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}}]] 2023-03-12 04:48:35.608124: 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}}]] 2023-03-12 04:48:35.760230: 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}}]] 2023-03-12 04:48:35.761355: 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}}]] 2023-03-12 04:48:35.931829: 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}}]] 2023-03-12 04:48:35.932996: 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}}]] 2023-03-12 04:48:36.030305: 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}}]] 2023-03-12 04:48:36.031427: 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}}]] 2023-03-12 04:48:36.654755: 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.testIterWithLayouts4 (images_sharding=['unsharded', 'height', 'width', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False)): 3.43s I0312 04:48:37.400061 281473560048512 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts4 (images_sharding=['unsharded', 'height', 'width', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False)): 3.43s [ OK ] DTensorDatasetTest.testIterWithLayouts4 (images_sharding=['unsharded', 'height', 'width', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False) [ RUN ] DTensorDatasetTest.testRangeIterationEager I0312 04:48:37.402519 281473560048512 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:37.402791 281473560048512 mesh_util.py:36] Number of global CPU devices: 16 I0312 04:48:37.403007 281473560048512 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0312 04:48:37.403607 281473560048512 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0312 04:48:37.403795 281473560048512 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'] 2023-03-12 04:48:37.736546: 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}}]] 2023-03-12 04:48:37.805860: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:37.889731: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:37.961412: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:38.030731: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-12 04:48:38.082257: 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}}]] 2023-03-12 04:48:38.083135: 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}}]] 2023-03-12 04:48:38.183797: 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}}]] 2023-03-12 04:48:38.184698: 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}}]] 2023-03-12 04:48:38.286255: 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}}]] 2023-03-12 04:48:38.287158: 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}}]] 2023-03-12 04:48:38.373493: 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}}]] 2023-03-12 04:48:38.374402: 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}}]] 2023-03-12 04:48:38.442304: 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}}]] 2023-03-12 04:48:38.443181: 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}}]] 2023-03-12 04:48:38.510809: 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}}]] 2023-03-12 04:48:38.511666: 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}}]] 2023-03-12 04:48:38.596220: 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}}]] 2023-03-12 04:48:38.597111: 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}}]] 2023-03-12 04:48:38.667541: 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}}]] 2023-03-12 04:48:38.668476: 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}}]] 2023-03-12 04:48:38.739367: 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}}]] 2023-03-12 04:48:38.740297: 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}}]] 2023-03-12 04:48:38.851263: 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}}]] 2023-03-12 04:48:38.852174: 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}}]] 2023-03-12 04:48:38.927262: 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}}]] 2023-03-12 04:48:38.928097: 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}}]] 2023-03-12 04:48:39.045617: 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}}]] 2023-03-12 04:48:39.046431: 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}}]] 2023-03-12 04:48:39.138960: 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}}]] 2023-03-12 04:48:39.139767: 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}}]] 2023-03-12 04:48:39.227890: 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}}]] 2023-03-12 04:48:39.228738: 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}}]] 2023-03-12 04:48:39.292047: 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}}]] 2023-03-12 04:48:39.292903: 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}}]] 2023-03-12 04:48:39.358427: 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}}]] 2023-03-12 04:48:39.359275: 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}}]] 2023-03-12 04:48:39.781387: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:5] (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}}]] 2023-03-12 04:48:39.781517: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:7] (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}}]] 2023-03-12 04:48:39.796256: E tensorflow/dtensor/cc/dtensor_device.cc:2032] Encountered error while executing function: CopyToMesh__func_5950845106898307211_6858324592425701659_10 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_12989052755378955192_1628789561242421788_9}} 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. 2023-03-12 04:48:39.796593: E tensorflow/dtensor/cc/dtensor_device.cc:2078] Error executing CopyToMesh {{function_node IteratorGetNext__func_12989052755378955192_1628789561242421788_9}} 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.testRangeIterationEager): 2.56s I0312 04:48:39.959013 281473560048512 test_util.py:2467] time(__main__.DTensorDatasetTest.testRangeIterationEager): 2.56s [ FAILED ] DTensorDatasetTest.testRangeIterationEager [ RUN ] InputUtilHelpersTest.testShardCounts2 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim='batch', counts=[1]) I0312 04:48:39.962884 281473560048512 mesh_util.py:35] This is client 0 of 1 clients I0312 04:48:39.963166 281473560048512 mesh_util.py:36] Number of global CPU devices: 8 I0312 04:48:39.963362 281473560048512 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0312 04:48:39.963820 281473560048512 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0312 04:48:39.963982 281473560048512 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'] INFO:tensorflow:time(__main__.InputUtilHelpersTest.testShardCounts2 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim='batch', counts=[1])): 0.0s I0312 04:48:39.964329 281473560048512 test_util.py:2467] time(__main__.InputUtilHelpersTest.testShardCounts2 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim='batch', counts=[1])): 0.0s [ OK ] InputUtilHelpersTest.testShardCounts2 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim='batch', counts=[1]) ====================================================================== ERROR: testRangeIterationEager (__main__.DTensorDatasetTest) DTensorDatasetTest.testRangeIterationEager testRangeIterationEager(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 154, in testRangeIteration 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 299, 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/tests/test_util.py", line 299, in 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/python/framework/ops.py", line 1211, in numpy maybe_arr = self._numpy() # pylint: disable=protected-access 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/python/framework/ops.py", line 1179, in _numpy raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_13230101824050524202_2386512056599665587_11}} Function was cancelled before it was started ---------------------------------------------------------------------- Ran 5 tests in 12.037s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10): 2023-03-12 04:54:29.866761: 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 3.10.10: /usr/local/bin/python3 [ RUN ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. W0312 04:54:36.558266 281473038840704 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s I0312 04:54:36.563450 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s [ SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:36.564444 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] 2023-03-12 04:54:36.841764: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:353] MLIR V1 optimization pass is not enabled 2023-03-12 04:54:36.854171: E ./tensorflow/core/graph/mkl_graph_util.h:182] oneDNN BFloat16 support are only on platforms with AVX512. Falling back to default implementation if present. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.29s I0312 04:54:36.857921 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.29s [ OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.1s I0312 04:54:36.963079 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.1s [ FAILED ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds [ RUN ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:36.965268 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:36.965998 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0312 04:54:36.966635 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:36.977561 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:36.978729 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] I0312 04:54:36.979321 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:36.993783 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:36.994972 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:36.995681 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:36.996361 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:36.996923 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.03s I0312 04:54:37.022468 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.023668 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:37.024277 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.036354 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.037560 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.038275 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.038936 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] I0312 04:54:37.039495 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.053333 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] I0312 04:54:37.054393 281473038840704 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s I0312 04:54:37.072337 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testDepthwiseMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s I0312 04:54:37.091907 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPoolingWithArgmax [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.093074 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.093845 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.094521 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] I0312 04:54:37.095077 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.109048 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.110262 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.110971 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.111629 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.112283 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0312 04:54:37.112830 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.124148 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0312 04:54:37.125196 281473038840704 pooling_ops_test.py:247] Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s I0312 04:54:37.141670 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.142865 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.143610 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.144270 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:37.144852 281473038840704 pooling_ops_test.py:247] Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s I0312 04:54:37.159668 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s [ OK ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.160802 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.161510 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:37.162075 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.173419 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0312 04:54:37.174448 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.175158 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.175815 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.176502 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:37.177056 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.188763 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.189984 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.190731 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.191402 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s I0312 04:54:37.191997 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.192640 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.193277 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.193911 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolFwd_maxpool4 INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s I0312 04:54:37.194494 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s [ OK ] PoolingTest.testMaxPoolFwd_maxpool4 [ RUN ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s I0312 04:54:37.215408 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s [ OK ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.220699 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.224545 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.228182 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s I0312 04:54:37.231737 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] I0312 04:54:37.232530 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s I0312 04:54:37.249098 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.250280 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.250982 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.251644 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s I0312 04:54:37.252233 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.252880 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.253530 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.254174 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:37.254722 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.266055 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.267273 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.268000 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.268670 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:37.269221 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.283392 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.284538 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.285245 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.285902 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0312 04:54:37.286499 281473038840704 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s I0312 04:54:37.301488 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.302679 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.303369 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.304020 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:37.304570 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.04s I0312 04:54:37.341908 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.04s [ OK ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.343103 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.343818 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.344479 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:37.345030 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s I0312 04:54:37.367361 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.368604 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.369306 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.369953 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] I0312 04:54:37.370506 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s I0312 04:54:37.387599 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.388806 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.389518 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.390175 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.390812 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:37.391451 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] I0312 04:54:37.391992 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.404103 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.405245 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:37.405851 281473038840704 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:37.417018 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0312 04:54:37.418032 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.418757 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:37.419433 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.03s I0312 04:54:37.448634 281473038840704 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.03s [ OK ] PoolingTest.testMaxPoolingWithArgmax ====================================================================== FAIL: testAvgPoolGradOutputMemoryOutOfBounds (__main__.PoolingTest) PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py", line 2337, in testAvgPoolGradOutputMemoryOutOfBounds with self.assertRaisesRegex( AssertionError: InvalidArgumentError not raised ---------------------------------------------------------------------- Ran 96 tests in 0.892s FAILED (failures=1, skipped=65) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10): 2023-03-12 04:54:39.248233: 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 3.10.10: /usr/local/bin/python3 [ RUN ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. W0312 04:54:40.979739 281473312519040 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s I0312 04:54:40.985568 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s [ SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:40.986575 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] 2023-03-12 04:54:41.024205: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:353] MLIR V1 optimization pass is not enabled 2023-03-12 04:54:41.035359: E ./tensorflow/core/graph/mkl_graph_util.h:182] oneDNN BFloat16 support are only on platforms with AVX512. Falling back to default implementation if present. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.05s I0312 04:54:41.039257 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.05s [ OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.06s I0312 04:54:41.099645 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.06s [ FAILED ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds [ RUN ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.102249 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.103277 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0312 04:54:41.103935 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.117554 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.118981 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] I0312 04:54:41.119650 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s I0312 04:54:41.138219 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.143030 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.143845 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.144538 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:41.145111 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.159694 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.161111 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:41.161752 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.173394 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.174858 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.175630 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.176333 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] I0312 04:54:41.176910 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s I0312 04:54:41.194146 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] I0312 04:54:41.195428 281473312519040 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s I0312 04:54:41.215052 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testDepthwiseMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s I0312 04:54:41.236651 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPoolingWithArgmax [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.237902 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.238602 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.239252 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] I0312 04:54:41.239792 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.04s I0312 04:54:41.274820 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.04s [ OK ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.276005 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.276757 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.277418 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.278079 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0312 04:54:41.278625 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.289330 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0312 04:54:41.290314 281473312519040 pooling_ops_test.py:247] Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s I0312 04:54:41.305587 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.306854 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.307564 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.308223 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:41.308781 281473312519040 pooling_ops_test.py:247] Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s I0312 04:54:41.321997 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s [ OK ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.323125 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.323840 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:41.324418 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.335766 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0312 04:54:41.336795 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.337522 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.338188 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.338847 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:41.339407 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.349949 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.350986 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.351669 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.352330 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s I0312 04:54:41.352938 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.353587 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.354232 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.354879 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolFwd_maxpool4 INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s I0312 04:54:41.355467 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s [ OK ] PoolingTest.testMaxPoolFwd_maxpool4 [ RUN ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s I0312 04:54:41.373152 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s [ OK ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.378027 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.381450 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.384725 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s I0312 04:54:41.387870 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] I0312 04:54:41.388569 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s I0312 04:54:41.404032 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.405210 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.405914 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.406612 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s I0312 04:54:41.407214 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.407864 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.408518 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.409171 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:41.409718 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.421092 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.422214 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.422902 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.423560 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:41.424111 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.437992 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.439151 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.439855 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.440517 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0312 04:54:41.441083 281473312519040 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s I0312 04:54:41.456032 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.457157 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.457837 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.458492 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:41.459045 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.471843 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.472947 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.473647 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.474308 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:41.474861 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s I0312 04:54:41.493860 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.494997 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.495679 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.496381 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] I0312 04:54:41.496948 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s I0312 04:54:41.513056 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.514105 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.514781 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.515432 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.516077 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:41.516740 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] I0312 04:54:41.517286 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.03s I0312 04:54:41.548884 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.549860 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:41.550433 281473312519040 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:41.560397 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0312 04:54:41.561206 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.561879 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:41.562534 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.05s I0312 04:54:41.608794 281473312519040 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.05s [ OK ] PoolingTest.testMaxPoolingWithArgmax ====================================================================== FAIL: testAvgPoolGradOutputMemoryOutOfBounds (__main__.PoolingTest) PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py", line 2337, in testAvgPoolGradOutputMemoryOutOfBounds with self.assertRaisesRegex( AssertionError: InvalidArgumentError not raised ---------------------------------------------------------------------- Ran 96 tests in 0.630s FAILED (failures=1, skipped=65) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10): 2023-03-12 04:54:43.103701: 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 3.10.10: /usr/local/bin/python3 [ RUN ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. W0312 04:54:44.796036 281473436644224 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s I0312 04:54:44.801912 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s [ SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:44.803020 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] 2023-03-12 04:54:44.840782: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:353] MLIR V1 optimization pass is not enabled 2023-03-12 04:54:44.852282: E ./tensorflow/core/graph/mkl_graph_util.h:182] oneDNN BFloat16 support are only on platforms with AVX512. Falling back to default implementation if present. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.05s I0312 04:54:44.856279 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.05s [ OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.05s I0312 04:54:44.904437 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.05s [ FAILED ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds [ RUN ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.906913 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.907769 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0312 04:54:44.908349 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:44.920112 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.921391 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] I0312 04:54:44.922029 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:44.935063 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.936446 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.937185 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.937849 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:44.938411 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:44.950559 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.951755 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:44.952356 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:44.962662 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.963819 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.964536 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:44.965206 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] I0312 04:54:44.965772 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:44.978147 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] I0312 04:54:44.979316 281473436644224 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s I0312 04:54:44.995425 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testDepthwiseMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s I0312 04:54:45.014314 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPoolingWithArgmax [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.015583 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.016443 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.017159 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] I0312 04:54:45.017725 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:45.032598 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.033889 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.034646 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.035314 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.035973 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0312 04:54:45.036565 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0312 04:54:45.048147 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0312 04:54:45.049317 281473436644224 pooling_ops_test.py:247] Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s I0312 04:54:45.064974 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.066326 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.067120 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.067794 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:45.068354 281473436644224 pooling_ops_test.py:247] Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s I0312 04:54:45.083316 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s [ OK ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.084624 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.085386 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:45.085982 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:45.097722 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0312 04:54:45.098936 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.099712 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.100397 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.101060 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:45.101624 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:45.113739 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.115028 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.115752 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.116450 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s I0312 04:54:45.117059 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.117711 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.118360 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.119004 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolFwd_maxpool4 INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s I0312 04:54:45.119598 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s [ OK ] PoolingTest.testMaxPoolFwd_maxpool4 [ RUN ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s I0312 04:54:45.139580 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s [ OK ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.144701 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.149008 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.152514 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s I0312 04:54:45.155970 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] I0312 04:54:45.156866 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s I0312 04:54:45.172883 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.174183 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.174938 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.175607 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s I0312 04:54:45.176233 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.176897 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.177553 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.178205 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:45.178759 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0312 04:54:45.191328 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.192581 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.193336 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.194015 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:45.194571 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.02s I0312 04:54:45.209888 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.211211 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.211959 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.212626 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0312 04:54:45.213189 281473436644224 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.04s I0312 04:54:45.258177 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.04s [ OK ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.259507 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.260210 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.260862 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:45.261411 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:45.276190 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.277535 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.278269 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.278921 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0312 04:54:45.279469 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.03s I0312 04:54:45.307849 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.309175 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.309858 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.310503 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] I0312 04:54:45.311051 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s I0312 04:54:45.327179 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.328496 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.329194 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.329839 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.330480 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0312 04:54:45.331112 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] I0312 04:54:45.331654 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:45.343187 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.344439 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0312 04:54:45.345057 281473436644224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0312 04:54:45.355895 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0312 04:54:45.357090 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.357834 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0312 04:54:45.358499 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.03s I0312 04:54:45.388238 281473436644224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.03s [ OK ] PoolingTest.testMaxPoolingWithArgmax ====================================================================== FAIL: testAvgPoolGradOutputMemoryOutOfBounds (__main__.PoolingTest) PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py", line 2337, in testAvgPoolGradOutputMemoryOutOfBounds with self.assertRaisesRegex( AssertionError: InvalidArgumentError not raised ---------------------------------------------------------------------- Ran 96 tests in 0.594s FAILED (failures=1, skipped=65) ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 30.0s //tensorflow/c:c_api_function_test PASSED in 30.2s //tensorflow/c:c_api_test_cpu PASSED in 43.1s //tensorflow/c:c_test PASSED in 29.6s //tensorflow/c:env_test_cpu PASSED in 32.4s //tensorflow/c:kernels_test_cpu PASSED in 41.9s //tensorflow/c:ops_test PASSED in 32.0s //tensorflow/c:while_loop_test PASSED in 40.7s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 33.1s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 36.2s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 31.6s //tensorflow/c/eager:c_api_test_cpu PASSED in 39.5s //tensorflow/c/eager:custom_device_test PASSED in 29.8s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 29.3s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 32.3s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 35.4s //tensorflow/c/experimental/filesystem/plugins/gcs:expiring_lru_cache_test PASSED in 0.3s //tensorflow/c/experimental/filesystem/plugins/gcs:ram_file_block_cache_test PASSED in 2.4s //tensorflow/c/experimental/grappler:grappler_test PASSED in 27.2s //tensorflow/c/experimental/ops/gen/common:case_format_test PASSED in 0.5s //tensorflow/c/experimental/ops/gen/cpp:cpp_generator_test PASSED in 0.5s //tensorflow/c/experimental/ops/gen/cpp/renderers:renderer_test PASSED in 0.7s //tensorflow/c/experimental/saved_model/core:constant_loading_test PASSED in 16.8s //tensorflow/c/experimental/saved_model/core:object_graph_traversal_test PASSED in 13.9s //tensorflow/c/experimental/saved_model/core:saved_variable_loading_test PASSED in 16.9s //tensorflow/c/experimental/saved_model/core:signature_flattening_test PASSED in 15.0s //tensorflow/c/experimental/saved_model/core:tf_concrete_function_loading_test PASSED in 14.6s //tensorflow/c/experimental/saved_model/core/ops:restore_ops_test PASSED in 13.9s //tensorflow/c/experimental/saved_model/core/ops:variable_ops_test PASSED in 15.5s //tensorflow/c/experimental/saved_model/internal:saved_model_api_test PASSED in 29.6s //tensorflow/c/experimental/stream_executor:stream_executor_test PASSED in 0.2s //tensorflow/c/kernels:bitcast_op_test PASSED in 0.6s //tensorflow/c/kernels:summary_op_benchmark_test PASSED in 1.1s //tensorflow/c/kernels:summary_op_test PASSED in 1.1s //tensorflow/c/kernels:tensor_shape_utils_test PASSED in 0.1s //tensorflow/cc:cc_op_gen_test PASSED in 0.4s //tensorflow/cc:client_client_session_test PASSED in 2.4s //tensorflow/cc:coordinator_test PASSED in 4.4s //tensorflow/cc:framework_cc_ops_test PASSED in 2.1s //tensorflow/cc:framework_gradient_checker_test PASSED in 2.9s //tensorflow/cc:framework_gradients_test PASSED in 5.8s //tensorflow/cc:framework_scope_test PASSED in 0.6s //tensorflow/cc:framework_while_gradients_test PASSED in 2.5s //tensorflow/cc:gradients_array_grad_test PASSED in 21.2s //tensorflow/cc:gradients_data_flow_grad_test PASSED in 3.1s //tensorflow/cc:gradients_functional_grad_test PASSED in 3.7s //tensorflow/cc:gradients_image_grad_test PASSED in 6.8s //tensorflow/cc:gradients_linalg_grad_test PASSED in 2.8s //tensorflow/cc:gradients_manip_grad_test PASSED in 1.8s //tensorflow/cc:gradients_math_grad_test PASSED in 6.1s //tensorflow/cc:gradients_nn_grad_test PASSED in 11.5s //tensorflow/cc:gradients_resource_variable_grad_test PASSED in 2.2s //tensorflow/cc:ops_const_op_test PASSED in 0.5s //tensorflow/cc:ops_while_loop_test PASSED in 1.9s //tensorflow/cc:queue_runner_test PASSED in 12.5s //tensorflow/cc/experimental/base/tests:tensor_test PASSED in 0.1s //tensorflow/cc/experimental/base/tests:tensorhandle_test PASSED in 27.8s //tensorflow/cc/experimental/libexport:load_test PASSED in 0.1s //tensorflow/cc/experimental/libexport:save_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_module_test PASSED in 30.8s //tensorflow/cc/experimental/libtf:libtf_object_test PASSED in 0.3s //tensorflow/cc/experimental/libtf:libtf_perf_test PASSED in 0.2s //tensorflow/cc/experimental/libtf:libtf_runtime_test PASSED in 29.5s //tensorflow/cc/experimental/libtf:libtf_transform_test PASSED in 30.3s //tensorflow/cc/experimental/libtf:libtf_value_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_visit_test PASSED in 0.3s //tensorflow/cc/experimental/libtf/impl:iostream_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:none_test PASSED in 0.2s //tensorflow/cc/experimental/libtf/impl:scalars_test PASSED in 0.2s //tensorflow/cc/experimental/libtf/impl:string_test PASSED in 0.2s //tensorflow/cc/experimental/libtf/impl:tensor_spec_test PASSED in 0.1s //tensorflow/cc/saved_model:bundle_v2_test PASSED in 0.1s //tensorflow/cc/saved_model:fingerprinting_test PASSED in 1.4s //tensorflow/cc/saved_model:metrics_test PASSED in 0.3s //tensorflow/cc/saved_model:reader_test PASSED in 0.5s //tensorflow/cc/saved_model:saved_model_bundle_lite_test PASSED in 6.7s //tensorflow/cc/saved_model:saved_model_bundle_test PASSED in 6.1s //tensorflow/cc/saved_model:util_test PASSED in 0.1s //tensorflow/cc/saved_model/experimental/tests:saved_model_api_test PASSED in 30.0s //tensorflow/cc/tools:freeze_saved_model_test PASSED in 2.4s //tensorflow/compiler/aot:codegen_test PASSED in 37.8s //tensorflow/compiler/jit:compilability_check_util_test PASSED in 18.2s //tensorflow/compiler/jit:deadness_analysis_test PASSED in 8.3s //tensorflow/compiler/jit:device_compilation_cache_test PASSED in 4.2s //tensorflow/compiler/jit:device_compilation_cluster_signature_test PASSED in 6.9s //tensorflow/compiler/jit:device_compilation_profiler_test PASSED in 25.4s //tensorflow/compiler/jit:device_compiler_client_test PASSED in 6.0s //tensorflow/compiler/jit:device_compiler_disable_test PASSED in 18.9s //tensorflow/compiler/jit:device_executable_persistor_test PASSED in 21.3s //tensorflow/compiler/jit:device_util_test PASSED in 5.4s //tensorflow/compiler/jit:encapsulate_util_test PASSED in 0.5s //tensorflow/compiler/jit:node_matchers_test PASSED in 0.6s //tensorflow/compiler/jit:resource_operation_safety_analysis_test PASSED in 11.7s //tensorflow/compiler/jit:shape_inference_test PASSED in 1.0s //tensorflow/compiler/jit:xla_activity_listener_test PASSED in 27.2s //tensorflow/compiler/jit:xla_cluster_util_test PASSED in 9.1s //tensorflow/compiler/jit:xla_compile_util_test PASSED in 5.3s //tensorflow/compiler/jit:xla_kernel_creator_test PASSED in 8.8s //tensorflow/compiler/jit/tests:auto_clustering_test PASSED in 24.4s //tensorflow/compiler/mlir:mlir_graph_optimization_pass_test PASSED in 12.0s //tensorflow/compiler/mlir:register_common_dialects_test PASSED in 13.7s //tensorflow/compiler/mlir/lite:lstm_utils_test PASSED in 0.7s //tensorflow/compiler/mlir/lite:perception_ops_utils_test PASSED in 1.4s //tensorflow/compiler/mlir/lite:size_utils_test PASSED in 0.1s //tensorflow/compiler/mlir/lite:tftext_utils_test PASSED in 1.2s //tensorflow/compiler/mlir/lite/experimental/remat:rematerializer_test PASSED in 1.2s //tensorflow/compiler/mlir/lite/experimental/tac:execution_metadata_exporter_test PASSED in 3.6s 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//tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:unique_output_name.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:while-loop.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tensorflow/tests/tf_to_hlo_pipeline:sccp-post-shape-inference.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tensorflow/tests/tpu_bridge_v1:end_to_end.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla:compile_mlir_util_test PASSED in 4.3s //tensorflow/compiler/mlir/tf2xla:verify_tfxla_legalization_test PASSED in 3.9s //tensorflow/compiler/mlir/tf2xla:xla_legalize_targets_test PASSED in 0.5s //tensorflow/compiler/mlir/tf2xla/tests:adjust-layout.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/tests:convert-mhlo-quant-to-int.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/tests:hlo_xla_runtime_pipeline.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tf2xla/tests:hlo_xla_sparsification.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-BatchMatMulV2.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-binary-elementwise.mlir.test PASSED in 2.2s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-collective.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-communication.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-include-tf2xla-fallback.mlir.test PASSED in 2.2s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-no-tf2xla-fallback.mlir.test PASSED in 4.2s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-prefer-tf2xla.mlir.test PASSED in 1.1s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-types.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-with-tf2xla.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf.mlir.test PASSED in 11.0s //tensorflow/compiler/mlir/tf2xla/tests:tfxla_device_specific_transformations_cpu.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tf2xla/tests:tfxla_device_specific_transformations_gpu.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tf2xla/tests:verify-tfxla-legalization-no-chlo.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tf2xla/tests:verify-tfxla-legalization.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tfr:graph_decompose_test PASSED in 10.5s //tensorflow/compiler/mlir/tfr:node_expansion_test PASSED in 7.8s //tensorflow/compiler/mlir/tfr:op_reg_gen_test PASSED in 15.2s //tensorflow/compiler/mlir/tfr:tfr_decompose_ctx_test PASSED in 4.1s //tensorflow/compiler/mlir/tfr:tfr_gen_test PASSED in 16.8s //tensorflow/compiler/mlir/tfr/examples/customization:test_ops_test PASSED in 21.0s //tensorflow/compiler/mlir/tfr/examples/pad:pad_ops_test PASSED in 19.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:buffer_deallocation.mlir.test PASSED in 1.2s //tensorflow/compiler/mlir/tools/kernel_gen/tests:buffer_reuse.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tools/kernel_gen/tests:bufferize.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:copy_cleanup.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:embed_tf_framework.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:invalid.mlir.test PASSED in 0.4s //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 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:parallel_loops_to_sequential.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:rewrite_tf_framework_assert.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tanh.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf-legalize-to-lmhlo.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_abi_knowledge.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_framework_legalize_to_llvm.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_kernel_gpu_launch_to_llvm.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_to_jit_invocations.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tosa/tests:convert-tfl-uint8.mlir.test PASSED in 1.4s //tensorflow/compiler/mlir/tosa/tests:fuse-bias-tf.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tosa/tests:lower-complex-types.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:strip-quant-types.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tosa/tests:tf-tfl-to-tosa-pipeline.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tosa/tests:tf-to-tosa-pipeline.mlir.test PASSED in 1.0s //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 0.7s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline.mlir.test PASSED in 5.6s //tensorflow/compiler/tests:adadelta_test_cpu PASSED in 14.8s //tensorflow/compiler/tests:adagrad_da_test_cpu PASSED in 11.1s //tensorflow/compiler/tests:adagrad_test_cpu PASSED in 11.6s //tensorflow/compiler/tests:adam_test_cpu PASSED in 12.3s //tensorflow/compiler/tests:add_n_test_cpu PASSED in 8.7s //tensorflow/compiler/tests:argminmax_test_cpu PASSED in 12.4s //tensorflow/compiler/tests:argminmax_test_cpu_mlir_bridge_test PASSED in 18.0s //tensorflow/compiler/tests:bucketize_op_test_cpu PASSED in 8.5s //tensorflow/compiler/tests:bucketize_op_test_cpu_mlir_bridge_test PASSED in 9.8s //tensorflow/compiler/tests:case_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:cast_ops_test_cpu PASSED in 9.4s //tensorflow/compiler/tests:cast_ops_test_cpu_mlir_bridge_test PASSED in 6.9s //tensorflow/compiler/tests:categorical_op_test_cpu PASSED in 11.5s //tensorflow/compiler/tests:categorical_op_test_cpu_mlir_bridge_test PASSED in 14.1s //tensorflow/compiler/tests:cholesky_op_test_cpu PASSED in 16.8s //tensorflow/compiler/tests:cholesky_op_test_cpu_mlir_bridge_test PASSED in 16.0s //tensorflow/compiler/tests:clustering_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:clustering_test_cpu_mlir_bridge_test PASSED in 8.2s //tensorflow/compiler/tests:concat_ops_test_cpu PASSED in 8.5s //tensorflow/compiler/tests:concat_ops_test_cpu_mlir_bridge_test PASSED in 8.8s //tensorflow/compiler/tests:cond_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:const_arg_test_cpu PASSED in 45.9s //tensorflow/compiler/tests:const_test_cpu PASSED in 20.7s //tensorflow/compiler/tests:data_format_ops_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:data_format_ops_test_cpu_mlir_bridge_test PASSED in 23.5s //tensorflow/compiler/tests:dense_layer_test_cpu PASSED in 11.8s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu PASSED in 11.9s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu_mlir_bridge_test PASSED in 11.8s //tensorflow/compiler/tests:dynamic_stitch_test_cpu PASSED in 7.8s //tensorflow/compiler/tests:dynamic_stitch_test_cpu_mlir_bridge_test PASSED in 13.3s //tensorflow/compiler/tests:eager_test_cpu PASSED in 20.5s //tensorflow/compiler/tests:einsum_op_test_cpu PASSED in 7.4s //tensorflow/compiler/tests:einsum_op_test_cpu_mlir_bridge_test PASSED in 8.5s //tensorflow/compiler/tests:ensure_shape_op_test_cpu PASSED in 7.9s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu PASSED in 8.1s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu_mlir_bridge_test PASSED in 8.1s //tensorflow/compiler/tests:fake_quant_ops_test_cpu PASSED in 12.7s //tensorflow/compiler/tests:fake_quant_ops_test_cpu_mlir_bridge_test PASSED in 17.4s //tensorflow/compiler/tests:fifo_queue_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:fifo_queue_test_cpu_mlir_bridge_test PASSED in 9.6s //tensorflow/compiler/tests:ftrl_ops_test_cpu PASSED in 17.2s //tensorflow/compiler/tests:ftrl_ops_test_cpu_mlir_bridge_test PASSED in 23.1s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 15.7s //tensorflow/compiler/tests:function_test_cpu PASSED in 8.3s //tensorflow/compiler/tests:function_test_cpu_mlir_bridge_test PASSED in 8.7s //tensorflow/compiler/tests:gather_nd_op_test_cpu PASSED in 9.6s //tensorflow/compiler/tests:gather_nd_op_test_cpu_mlir_bridge_test PASSED in 10.0s //tensorflow/compiler/tests:gather_test_cpu PASSED in 39.7s //tensorflow/compiler/tests:gather_test_cpu_mlir_bridge_test PASSED in 52.6s //tensorflow/compiler/tests:jit_test_cpu PASSED in 62.3s //tensorflow/compiler/tests:listdiff_op_test_cpu PASSED in 14.8s //tensorflow/compiler/tests:listdiff_op_test_cpu_mlir_bridge_test PASSED in 14.8s //tensorflow/compiler/tests:lrn_ops_test_cpu PASSED in 8.1s //tensorflow/compiler/tests:lrn_ops_test_cpu_mlir_bridge_test PASSED in 7.3s //tensorflow/compiler/tests:lstm_test_cpu PASSED in 24.1s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 12.3s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 13.8s //tensorflow/compiler/tests:matrix_band_part_test_cpu PASSED in 40.0s //tensorflow/compiler/tests:matrix_band_part_test_cpu_mlir_bridge_test PASSED in 40.1s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 18.7s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 19.8s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 9.8s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 8.7s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu PASSED in 22.7s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu_mlir_bridge_test PASSED in 25.4s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 13.5s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 10.2s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 7.6s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 9.6s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 8.8s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 8.1s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 7.4s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 10.4s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 9.2s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 7.6s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 7.6s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 8.9s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 8.0s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 11.4s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 10.4s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 7.7s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 9.8s //tensorflow/compiler/tests:risc_ops_test_cpu_mlir_bridge_test PASSED in 7.6s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 11.1s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 21.8s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 24.6s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 9.4s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 9.4s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 23.7s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 29.6s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 19.0s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 16.7s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 18.3s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 22.3s //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 7.7s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 7.2s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 10.4s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 13.3s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 15.1s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 14.4s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 13.7s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 7.9s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 25.0s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 15.2s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 9.1s //tensorflow/compiler/tests:while_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 9.1s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 8.2s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 12.6s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 15.2s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 34.8s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 36.3s //tensorflow/compiler/tests:xla_test_test PASSED in 6.5s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 6.5s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.1s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.8s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 0.7s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 26.3s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.5s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 6.5s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 3.1s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.7s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 16.2s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 0.8s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 15.2s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 15.0s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 5.3s //tensorflow/compiler/tf2xla/kernels:rng_converter_utils_test PASSED in 2.0s //tensorflow/compiler/xla:array2d_test PASSED in 0.2s //tensorflow/compiler/xla:array3d_test PASSED in 0.3s //tensorflow/compiler/xla:array4d_test PASSED in 0.2s //tensorflow/compiler/xla:array_test PASSED in 0.1s //tensorflow/compiler/xla:bit_cast_test PASSED in 0.1s //tensorflow/compiler/xla:comparison_util_test PASSED in 0.2s //tensorflow/compiler/xla:debug_options_parsers_test PASSED in 0.2s //tensorflow/compiler/xla:index_util_test PASSED in 0.3s //tensorflow/compiler/xla:iterator_util_test PASSED in 0.3s //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 0.3s //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 0.4s //tensorflow/compiler/xla:shape_test PASSED in 0.4s //tensorflow/compiler/xla:shape_tree_test PASSED in 0.1s //tensorflow/compiler/xla:shape_util_test PASSED in 2.3s //tensorflow/compiler/xla:status_macros_test PASSED in 0.1s //tensorflow/compiler/xla:text_literal_reader_test PASSED in 0.2s //tensorflow/compiler/xla:text_literal_writer_test PASSED in 0.1s //tensorflow/compiler/xla:types_test PASSED in 0.1s //tensorflow/compiler/xla:util_test PASSED in 0.6s //tensorflow/compiler/xla:window_util_test PASSED in 0.1s //tensorflow/compiler/xla/client:padding_test PASSED in 0.2s //tensorflow/compiler/xla/client:xla_builder_test PASSED in 0.3s //tensorflow/compiler/xla/client/lib:arithmetic_test_cpu PASSED in 6.6s //tensorflow/compiler/xla/client/lib:comparators_test_cpu PASSED in 8.3s //tensorflow/compiler/xla/client/lib:constants_test_cpu PASSED in 7.6s //tensorflow/compiler/xla/client/lib:logdet_test_cpu PASSED in 9.3s //tensorflow/compiler/xla/client/lib:math_test_cpu PASSED in 13.4s //tensorflow/compiler/xla/client/lib:matrix_test_cpu PASSED in 10.8s //tensorflow/compiler/xla/client/lib:pooling_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/client/lib:qr_test_cpu PASSED in 11.4s 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//tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/shape_reification.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/sink-constants-to-control-flow.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/sparse_gendot_lower.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/sparse_lower.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/sparse_ops.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/sparse_rewriting.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/sparse_transpose.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/stablehlo-legalize-to-hlo.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/symbolic-shape-optimization.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/unfuse_batch_norm.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_bounds.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_conv_op.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_reduce_op.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_reduce_window_op.mlir.test PASSED in 0.5s //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 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/verifier_while_op.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/mhlo/while_prettyprint.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/thlo/bufferize.mlir.test PASSED in 0.8s //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 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/thlo/ops.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/thlo/tiling.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:alloc_to_arg.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:assuming-structural-propagation.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:buffer_packing.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:buffer_reuse.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:bufferize.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:bufferize_one_shot.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir_hlo/tests:collapse_parallel_loops_to_1d_pass.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:copy_removal.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:detensorize_scf_ops.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:index_type_llvm_lowering.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:legalize-trigonometric-to-approximation.mlir.test PASSED in 0.4s //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 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:rank-specialization.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/mlir_hlo/tests:scalarization.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:shape-component-analysis.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir_hlo/tests:shape_simplification.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:test_userange.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:tile_loops.mlir.test PASSED in 0.5s //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 0.4s //tensorflow/compiler/xla/mlir_hlo/tools/mlir_interpreter/framework/tests:interpreter_value_test PASSED in 0.2s //tensorflow/compiler/xla/mlir_hlo/tools/mlir_interpreter/framework/tests:tensor_or_memref_test PASSED in 0.1s //tensorflow/compiler/xla/mlir_hlo/tosa/tests:binary.mlir.test PASSED in 0.6s //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 0.6s //tensorflow/compiler/xla/mlir_hlo/tosa/tests:ternary.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tosa/tests:unary.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/pjrt:host_callback_test PASSED in 0.2s //tensorflow/compiler/xla/pjrt:lru_cache_test PASSED in 0.5s //tensorflow/compiler/xla/pjrt:pjrt_api_test PASSED in 0.2s //tensorflow/compiler/xla/pjrt:pjrt_client_test_cpu PASSED in 7.5s //tensorflow/compiler/xla/pjrt:pjrt_compiler_test PASSED in 0.2s //tensorflow/compiler/xla/pjrt:pjrt_executable_test PASSED in 0.1s //tensorflow/compiler/xla/pjrt:pjrt_stream_executor_client_test PASSED in 7.9s //tensorflow/compiler/xla/pjrt:semaphore_test PASSED in 0.1s //tensorflow/compiler/xla/pjrt:tfrt_cpu_pjrt_client_test PASSED in 7.1s //tensorflow/compiler/xla/pjrt:tracked_device_buffer_test PASSED in 6.8s //tensorflow/compiler/xla/pjrt:tracked_tfrt_cpu_device_buffer_test PASSED in 0.1s //tensorflow/compiler/xla/pjrt:transpose_test PASSED in 44.6s //tensorflow/compiler/xla/pjrt/c:pjrt_c_api_cpu_test PASSED in 6.6s //tensorflow/compiler/xla/pjrt/c:pjrt_c_api_helpers_test PASSED in 0.4s //tensorflow/compiler/xla/pjrt/distributed:client_server_test PASSED in 41.7s //tensorflow/compiler/xla/pjrt/distributed:service_test PASSED in 6.9s //tensorflow/compiler/xla/pjrt/gpu:se_gpu_pjrt_client_test PASSED in 1.8s //tensorflow/compiler/xla/python:outfeed_receiver_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/python/ifrt:array_test PASSED in 0.2s //tensorflow/compiler/xla/python/ifrt:array_test_no_impl PASSED in 0.2s //tensorflow/compiler/xla/python/ifrt:client_test_no_impl PASSED in 0.2s //tensorflow/compiler/xla/python/ifrt:executable_test_no_impl PASSED in 0.9s //tensorflow/compiler/xla/python/ifrt:future_test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt:index_domain_test PASSED in 1.1s //tensorflow/compiler/xla/python/ifrt:index_test PASSED in 0.2s //tensorflow/compiler/xla/python/ifrt:shape_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:sharding_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:tuple_test_no_impl PASSED in 0.2s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_array_impl_test_tfrt_cpu PASSED in 13.9s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_client_impl_test_tfrt_cpu PASSED in 6.2s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_executable_impl_test_tfrt_cpu PASSED in 7.4s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_tuple_impl_test_tfrt_cpu PASSED in 7.5s //tensorflow/compiler/xla/python_api:xla_literal_test PASSED in 1.0s //tensorflow/compiler/xla/python_api:xla_shape_test PASSED in 0.9s //tensorflow/compiler/xla/rpc:grpc_client_test PASSED in 2.5s //tensorflow/compiler/xla/runtime:arguments_test PASSED in 0.3s //tensorflow/compiler/xla/runtime:async_runtime_test PASSED in 0.3s //tensorflow/compiler/xla/runtime:custom_call_test PASSED in 1.8s //tensorflow/compiler/xla/runtime:diagnostics_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:executable_test PASSED in 1.3s //tensorflow/compiler/xla/runtime:ffi_test PASSED in 1.0s //tensorflow/compiler/xla/runtime:map_by_type_test PASSED in 0.1s //tensorflow/compiler/xla/runtime:module_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:results_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:state_test PASSED in 0.1s //tensorflow/compiler/xla/runtime:symbolic_shape_test PASSED in 0.6s //tensorflow/compiler/xla/runtime:type_id_test PASSED in 0.1s //tensorflow/compiler/xla/service:algebraic_simplifier_overflow_test_cpu PASSED in 7.5s //tensorflow/compiler/xla/service:algebraic_simplifier_test PASSED in 2.8s //tensorflow/compiler/xla/service:all_gather_broadcast_reorder_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_gather_combiner_test PASSED in 1.3s //tensorflow/compiler/xla/service:all_gather_decomposer_test PASSED in 1.1s //tensorflow/compiler/xla/service:all_reduce_combiner_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_reduce_contiguous_test PASSED in 0.8s //tensorflow/compiler/xla/service:all_reduce_folder_test PASSED in 1.5s //tensorflow/compiler/xla/service:all_reduce_promotion_test PASSED in 1.1s //tensorflow/compiler/xla/service:all_reduce_reassociate_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_reduce_simplifier_test PASSED in 0.9s //tensorflow/compiler/xla/service:ar_crs_combiner_test PASSED in 1.1s //tensorflow/compiler/xla/service:async_collective_creator_test PASSED in 0.9s //tensorflow/compiler/xla/service:async_op_canonicalizer_test PASSED in 1.0s //tensorflow/compiler/xla/service:batch_dot_simplification_test PASSED in 1.0s //tensorflow/compiler/xla/service:batchnorm_expander_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/service:bfloat16_conversion_folding_test PASSED in 1.0s //tensorflow/compiler/xla/service:bfloat16_propagation_test PASSED in 1.4s //tensorflow/compiler/xla/service:bitcast_dtypes_expander_test PASSED in 1.5s //tensorflow/compiler/xla/service:broadcast_canonicalizer_test PASSED in 1.2s //tensorflow/compiler/xla/service:buffer_assignment_test PASSED in 11.0s //tensorflow/compiler/xla/service:call_graph_test PASSED in 1.1s //tensorflow/compiler/xla/service:call_inliner_test PASSED in 1.0s //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 1.0s //tensorflow/compiler/xla/service:compilation_environments_test PASSED in 0.1s //tensorflow/compiler/xla/service:conditional_canonicalizer_test PASSED in 1.2s //tensorflow/compiler/xla/service:conditional_code_motion_test PASSED in 1.6s //tensorflow/compiler/xla/service:conditional_simplifier_test PASSED in 1.5s //tensorflow/compiler/xla/service:conditional_to_select_test PASSED in 0.8s //tensorflow/compiler/xla/service:convert_mover_test PASSED in 1.3s //tensorflow/compiler/xla/service:convert_operand_folding_test PASSED in 0.8s //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 1.3s //tensorflow/compiler/xla/service:copy_insertion_test PASSED in 1.1s //tensorflow/compiler/xla/service:custom_call_status_test PASSED in 0.1s //tensorflow/compiler/xla/service:defuser_test PASSED in 1.1s //tensorflow/compiler/xla/service:despecializer_test PASSED in 1.2s //tensorflow/compiler/xla/service:dfs_hlo_visitor_with_default_test PASSED in 1.0s //tensorflow/compiler/xla/service:dot_decomposer_test PASSED in 1.1s //tensorflow/compiler/xla/service:dot_merger_test PASSED in 1.0s //tensorflow/compiler/xla/service:dynamic_dimension_inference_test PASSED in 2.1s //tensorflow/compiler/xla/service:dynamic_dimension_simplifier_test PASSED in 0.8s //tensorflow/compiler/xla/service:dynamic_index_splitter_test PASSED in 0.8s //tensorflow/compiler/xla/service:dynamic_padder_test_cpu PASSED in 14.6s //tensorflow/compiler/xla/service:dynamic_parameter_binding_test PASSED in 1.1s //tensorflow/compiler/xla/service:dynamic_update_slice_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/service:elemental_ir_emitter_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/service:flatten_call_graph_test PASSED in 1.0s //tensorflow/compiler/xla/service:float_normalization_test PASSED in 1.3s //tensorflow/compiler/xla/service:fusion_node_indexing_evaluation_test PASSED in 1.2s //tensorflow/compiler/xla/service:gather_expander_test PASSED in 1.2s //tensorflow/compiler/xla/service:gather_simplifier_test PASSED in 0.9s //tensorflow/compiler/xla/service:heap_simulator_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_activation_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_alias_analysis_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_casting_utils_test PASSED in 8.4s //tensorflow/compiler/xla/service:hlo_computation_deduplicator_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_computation_test PASSED in 2.4s //tensorflow/compiler/xla/service:hlo_constant_folding_test PASSED in 4.3s //tensorflow/compiler/xla/service:hlo_cost_analysis_test PASSED in 7.9s //tensorflow/compiler/xla/service:hlo_creation_utils_test PASSED in 3.9s //tensorflow/compiler/xla/service:hlo_cse_test PASSED in 10.5s //tensorflow/compiler/xla/service:hlo_dataflow_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_dce_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_domain_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_element_type_converter_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_execution_profile_test PASSED in 6.5s //tensorflow/compiler/xla/service:hlo_graph_dumper_test PASSED in 1.2s //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 1.1s //tensorflow/compiler/xla/service:hlo_memory_scheduler_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_module_dce_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_module_metadata_test PASSED in 0.5s //tensorflow/compiler/xla/service:hlo_module_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_opcode_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_ordering_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_parser_test PASSED in 0.5s //tensorflow/compiler/xla/service:hlo_pass_pipeline_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_phi_graph_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_proto_util_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_reachability_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_rematerialization_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_rematerialization_test_utils_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_replication_analysis_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_schedule_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_sharding_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_verifier_test PASSED in 1.8s //tensorflow/compiler/xla/service:indexed_array_analysis_test PASSED in 1.5s //tensorflow/compiler/xla/service:instruction_fusion_test PASSED in 1.1s //tensorflow/compiler/xla/service:latency_hiding_scheduler_test PASSED in 1.1s //tensorflow/compiler/xla/service:layout_assignment_test PASSED in 6.9s //tensorflow/compiler/xla/service:layout_normalization_test PASSED in 1.4s //tensorflow/compiler/xla/service:logistic_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:loop_schedule_linearizer_test PASSED in 0.8s //tensorflow/compiler/xla/service:map_inliner_test PASSED in 1.2s //tensorflow/compiler/xla/service:mapped_ptr_container_sorter_test PASSED in 0.2s //tensorflow/compiler/xla/service:memory_space_assignment_best_fit_repacker_test PASSED in 0.2s //tensorflow/compiler/xla/service:memory_space_assignment_test PASSED in 1.9s //tensorflow/compiler/xla/service:memory_space_propagation_test PASSED in 0.9s //tensorflow/compiler/xla/service:name_uniquer_test PASSED in 0.1s //tensorflow/compiler/xla/service:operand_upcaster_test PASSED in 1.1s //tensorflow/compiler/xla/service:optimize_input_output_buffer_alias_test PASSED in 1.3s //tensorflow/compiler/xla/service:pattern_matcher_gmock_test PASSED in 0.2s //tensorflow/compiler/xla/service:pattern_matcher_test PASSED in 1.0s //tensorflow/compiler/xla/service:real_imag_expander_test PASSED in 1.2s //tensorflow/compiler/xla/service:reduce_decomposer_test PASSED in 1.2s //tensorflow/compiler/xla/service:reduce_scatter_combiner_test PASSED in 1.0s //tensorflow/compiler/xla/service:reduce_scatter_decomposer_test PASSED in 1.6s //tensorflow/compiler/xla/service:reduce_scatter_reassociate_test PASSED in 0.8s //tensorflow/compiler/xla/service:reshape_decomposer_test PASSED in 1.2s //tensorflow/compiler/xla/service:reshape_mover_test PASSED in 1.1s //tensorflow/compiler/xla/service:result_caster_test PASSED in 1.1s //tensorflow/compiler/xla/service:root_instruction_sinker_test PASSED in 0.9s //tensorflow/compiler/xla/service:scatter_expander_test PASSED in 0.9s //tensorflow/compiler/xla/service:scatter_simplifier_test PASSED in 1.1s //tensorflow/compiler/xla/service:select_and_scatter_expander_test PASSED in 1.2s //tensorflow/compiler/xla/service:shape_inference_test PASSED in 0.4s //tensorflow/compiler/xla/service:shaped_buffer_test PASSED in 6.5s //tensorflow/compiler/xla/service:sharding_propagation_test PASSED in 3.7s //tensorflow/compiler/xla/service:sharding_remover_test PASSED in 1.0s //tensorflow/compiler/xla/service:simplify_fp_conversions_test PASSED in 0.7s //tensorflow/compiler/xla/service:slice_sinker_test PASSED in 1.1s //tensorflow/compiler/xla/service:sort_simplifier_test PASSED in 1.0s //tensorflow/compiler/xla/service:space_to_batch_converter_test PASSED in 1.1s //tensorflow/compiler/xla/service:stable_sort_expander_test PASSED in 1.5s //tensorflow/compiler/xla/service:stochastic_convert_decomposer_test PASSED in 1.5s //tensorflow/compiler/xla/service:stream_pool_test PASSED in 0.1s //tensorflow/compiler/xla/service:topk_rewriter_test PASSED in 4.2s //tensorflow/compiler/xla/service:transpose_folding_test PASSED in 1.5s //tensorflow/compiler/xla/service:tuple_points_to_analysis_test PASSED in 1.1s //tensorflow/compiler/xla/service:tuple_simplifier_test PASSED in 0.8s //tensorflow/compiler/xla/service:tuple_util_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_all_reduce_code_motion_test PASSED in 1.1s //tensorflow/compiler/xla/service:while_loop_analysis_test PASSED in 0.9s //tensorflow/compiler/xla/service:while_loop_concat_code_motion_test PASSED in 1.5s //tensorflow/compiler/xla/service:while_loop_constant_sinking_test PASSED in 0.9s //tensorflow/compiler/xla/service:while_loop_expensive_invariant_code_motion_test PASSED in 0.8s //tensorflow/compiler/xla/service:while_loop_invariant_code_motion_test PASSED in 1.5s //tensorflow/compiler/xla/service:while_loop_simplifier_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_trip_count_annotator_test PASSED in 1.7s //tensorflow/compiler/xla/service:while_util_test PASSED in 1.1s //tensorflow/compiler/xla/service:xla_aot_compile_stablehlo_cpu_test PASSED in 7.6s //tensorflow/compiler/xla/service:xla_debug_info_manager_test PASSED in 1.5s //tensorflow/compiler/xla/service:zero_sized_hlo_elimination_test PASSED in 1.0s //tensorflow/compiler/xla/service/cpu:conv_canonicalization_test PASSED in 1.6s //tensorflow/compiler/xla/service/cpu:cpu_eigen_tensor_alignment_test PASSED in 1.3s //tensorflow/compiler/xla/service/cpu:cpu_instruction_fusion_test PASSED in 1.6s //tensorflow/compiler/xla/service/cpu:cpu_layout_assignment_test PASSED in 2.2s //tensorflow/compiler/xla/service/cpu:ir_emission_utils_test PASSED in 1.2s //tensorflow/compiler/xla/service/cpu:parallel_task_assignment_test PASSED in 3.6s //tensorflow/compiler/xla/service/cpu:runtime_fft_test PASSED in 0.3s //tensorflow/compiler/xla/service/cpu:shape_partition_test PASSED in 0.9s //tensorflow/compiler/xla/service/cpu:xfeed_manager_test PASSED in 0.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_bytesizeof_test PASSED in 0.5s //tensorflow/compiler/xla/service/cpu/tests:cpu_dyn_shape_test PASSED in 7.3s //tensorflow/compiler/xla/service/cpu/tests:cpu_eigen_dot_operation_test PASSED in 8.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_external_constants_test PASSED in 23.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_fusion_test PASSED in 7.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_infeed_test PASSED in 7.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_intrinsic_test PASSED in 8.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_key_value_sort_test PASSED in 7.1s 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PASSED in 1.5s //tensorflow/compiler/xla/service/gpu/llvm_gpu_backend:utils_test PASSED in 0.4s //tensorflow/compiler/xla/service/gpu/tests:gpu_reduce_scatter_creator_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu/tests:reduction_degenerate_dim_remover_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu/tests:reduction_dimension_grouper_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu/tests:tree_reduction_rewriter_test PASSED in 3.1s //tensorflow/compiler/xla/service/graphcycles:graphcycles_test PASSED in 0.8s //tensorflow/compiler/xla/service/graphcycles:ordered_set_test PASSED in 0.2s //tensorflow/compiler/xla/service/llvm_ir:alias_analysis_test PASSED in 7.4s //tensorflow/compiler/xla/service/llvm_ir:ir_array_test PASSED in 0.9s //tensorflow/compiler/xla/service/spmd:canonicalize_all_gather_for_cse_test PASSED in 0.8s //tensorflow/compiler/xla/service/spmd:collective_permute_motion_test PASSED in 1.6s 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11.0s //tensorflow/compiler/xla/tests:reduce_precision_test_cpu PASSED in 9.0s //tensorflow/compiler/xla/tests:replay_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:reshape_motion_test_cpu PASSED in 7.1s //tensorflow/compiler/xla/tests:reverse_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:round_trip_packed_literal_test_cpu PASSED in 7.0s //tensorflow/compiler/xla/tests:round_trip_transfer_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/tests:sample_text_test_cpu PASSED in 8.3s //tensorflow/compiler/xla/tests:scatter_test_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests:select_test_cpu PASSED in 6.7s //tensorflow/compiler/xla/tests:test_utils_test_cpu PASSED in 8.4s //tensorflow/compiler/xla/tests:token_hlo_test_cpu PASSED in 9.8s //tensorflow/compiler/xla/tests:transfer_manager_test_cpu PASSED in 17.5s //tensorflow/compiler/xla/tests:transpose_test_cpu PASSED in 8.5s //tensorflow/compiler/xla/tests:tuple_test_cpu PASSED in 8.6s 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1.9s //tensorflow/core/common_runtime:direct_session_with_debug_test PASSED in 2.7s //tensorflow/core/common_runtime:direct_session_with_tracking_alloc_test PASSED in 1.9s //tensorflow/core/common_runtime:dynamic_device_mgr_test PASSED in 1.3s //tensorflow/core/common_runtime:eval_const_tensor_test PASSED in 1.0s //tensorflow/core/common_runtime:executor_test PASSED in 3.5s //tensorflow/core/common_runtime:function_optimization_registration_test PASSED in 0.8s //tensorflow/core/common_runtime:function_optimization_registry_no_pass_test PASSED in 0.8s //tensorflow/core/common_runtime:function_optimization_registry_pass_failure_test PASSED in 1.0s //tensorflow/core/common_runtime:function_optimization_registry_test PASSED in 1.2s //tensorflow/core/common_runtime:function_threadpool_test PASSED in 1.2s //tensorflow/core/common_runtime:graph_constructor_test PASSED in 2.6s //tensorflow/core/common_runtime:graph_runner_test PASSED in 1.0s //tensorflow/core/common_runtime:hierarchical_tree_broadcaster_test_cpu PASSED in 4.2s //tensorflow/core/common_runtime:inline_function_utils_test PASSED in 0.5s //tensorflow/core/common_runtime:input_colocation_exemption_registry_test PASSED in 0.9s //tensorflow/core/common_runtime:int32_fulltype_test PASSED in 0.5s //tensorflow/core/common_runtime:isolate_placer_inspection_required_ops_pass_test PASSED in 1.0s //tensorflow/core/common_runtime:lower_case_op_test PASSED in 2.2s //tensorflow/core/common_runtime:lower_function_call_test PASSED in 2.5s //tensorflow/core/common_runtime:lower_functional_ops_test PASSED in 2.3s //tensorflow/core/common_runtime:lower_if_op_test PASSED in 3.8s //tensorflow/core/common_runtime:lower_while_op_test PASSED in 2.5s //tensorflow/core/common_runtime:mkl_cpu_allocator_test PASSED in 0.2s //tensorflow/core/common_runtime:mkl_threadpool_device_test PASSED in 0.2s //tensorflow/core/common_runtime:no_op_cost_measurement_test PASSED in 0.2s //tensorflow/core/common_runtime:null_request_cost_accessor_test PASSED in 0.6s //tensorflow/core/common_runtime:optimization_registry_test PASSED in 0.9s //tensorflow/core/common_runtime:optimize_cross_host_control_deps_test PASSED in 12.4s //tensorflow/core/common_runtime:optimize_function_graph_utils_test PASSED in 0.9s //tensorflow/core/common_runtime:partitioning_utils_test PASSED in 1.0s //tensorflow/core/common_runtime:pending_counts_test PASSED in 0.8s //tensorflow/core/common_runtime:permuter_test_cpu PASSED in 4.1s //tensorflow/core/common_runtime:placer_inspection_required_ops_utils_test PASSED in 1.1s //tensorflow/core/common_runtime:placer_test PASSED in 0.9s //tensorflow/core/common_runtime:process_function_library_runtime_test_cpu PASSED in 0.6s //tensorflow/core/common_runtime:process_util_test PASSED in 0.3s //tensorflow/core/common_runtime:quantize_training_test PASSED in 2.4s //tensorflow/core/common_runtime:rendezvous_util_test PASSED in 0.2s //tensorflow/core/common_runtime:replicate_per_replica_nodes_test PASSED in 0.5s //tensorflow/core/common_runtime:request_cost_accessor_registry_test PASSED in 2.6s //tensorflow/core/common_runtime:request_cost_test PASSED in 0.3s //tensorflow/core/common_runtime:ring_gatherer_test_cpu PASSED in 3.3s //tensorflow/core/common_runtime:ring_reducer_test_cpu PASSED in 6.9s //tensorflow/core/common_runtime:scoped_allocator_mgr_test PASSED in 4.8s //tensorflow/core/common_runtime:session_test PASSED in 0.6s //tensorflow/core/common_runtime:shape_refiner_test PASSED in 0.9s //tensorflow/core/common_runtime:single_threaded_executor_test PASSED in 0.9s //tensorflow/core/common_runtime:threadpool_device_test PASSED in 0.9s //tensorflow/core/common_runtime:type_inference_test PASSED in 2.7s //tensorflow/core/common_runtime/eager:attr_builder_test PASSED in 27.6s //tensorflow/core/common_runtime/eager:context_test PASSED in 14.8s //tensorflow/core/common_runtime/eager:custom_device_test PASSED in 13.1s //tensorflow/core/common_runtime/eager:eager_executor_test PASSED in 13.8s //tensorflow/core/common_runtime/eager:eager_op_rewrite_registry_test PASSED in 0.9s //tensorflow/core/common_runtime/eager:eager_operation_test PASSED in 15.3s //tensorflow/core/common_runtime/eager:execute_node_test PASSED in 12.5s //tensorflow/core/common_runtime/eager:execute_test PASSED in 31.2s //tensorflow/core/common_runtime/eager:kernel_and_device_test PASSED in 1.3s //tensorflow/core/common_runtime/eager:mkl_eager_op_rewrite_test PASSED in 13.3s //tensorflow/core/common_runtime/eager:placement_test PASSED in 17.8s //tensorflow/core/common_runtime/eager:placement_utils_test PASSED in 12.9s //tensorflow/core/common_runtime/eager:tensor_handle_data_test PASSED in 13.9s //tensorflow/core/common_runtime/eager:tensor_handle_test PASSED in 12.4s //tensorflow/core/common_runtime/gpu:gpu_device_on_non_gpu_machine_test PASSED in 0.2s //tensorflow/core/common_runtime/next_pluggable_device/c:plugin_c_api_test PASSED in 4.6s //tensorflow/core/config:flags_py_test PASSED in 6.7s //tensorflow/core/config:flags_test PASSED in 0.1s //tensorflow/core/data:compression_utils_test PASSED in 1.8s //tensorflow/core/data:dataset_utils_test PASSED in 0.6s //tensorflow/core/data:hash_utils_test PASSED in 0.8s //tensorflow/core/data:metric_utils_test PASSED in 5.8s //tensorflow/core/data:name_utils_test PASSED in 0.1s //tensorflow/core/data:rewrite_utils_test PASSED in 0.5s //tensorflow/core/data:serialization_utils_test PASSED in 0.7s //tensorflow/core/data:snapshot_utils_test PASSED in 0.7s //tensorflow/core/data:split_utils_test PASSED in 0.5s //tensorflow/core/data:standalone_save_restore_test PASSED in 2.3s //tensorflow/core/data:standalone_test PASSED in 2.6s //tensorflow/core/data:tfdataz_metrics_test PASSED in 2.1s //tensorflow/core/data:unbounded_thread_pool_test PASSED in 0.8s //tensorflow/core/data/service:auto_shard_rewriter_test PASSED in 1.1s //tensorflow/core/data/service:common_test PASSED in 0.3s //tensorflow/core/data/service:credentials_factory_test PASSED in 0.7s //tensorflow/core/data/service:cross_trainer_cache_test PASSED in 1.7s //tensorflow/core/data/service:data_service_test PASSED in 12.9s //tensorflow/core/data/service:data_transfer_test PASSED in 0.7s //tensorflow/core/data/service:dataset_store_test PASSED in 0.6s //tensorflow/core/data/service:dispatcher_client_test PASSED in 4.1s //tensorflow/core/data/service:dispatcher_state_test PASSED in 0.9s //tensorflow/core/data/service:grpc_dispatcher_impl_test PASSED in 4.9s //tensorflow/core/data/service:grpc_util_test PASSED in 0.8s //tensorflow/core/data/service:grpc_worker_impl_test PASSED in 3.0s //tensorflow/core/data/service:journal_test PASSED in 0.6s //tensorflow/core/data/service:logging_utils_test PASSED in 0.1s //tensorflow/core/data/service:task_runner_test PASSED in 10.6s //tensorflow/core/data/service:test_util_test PASSED in 2.8s //tensorflow/core/data/service:url_test PASSED in 0.1s //tensorflow/core/data/service:utils_test PASSED in 0.8s //tensorflow/core/data/service:validate_utils_test PASSED in 0.3s //tensorflow/core/data/service:worker_client_test PASSED in 3.0s //tensorflow/core/data/service:worker_impl_test PASSED in 3.9s //tensorflow/core/data/service/client:data_service_client_test PASSED in 5.1s //tensorflow/core/data/service/client:utils_test PASSED in 3.3s //tensorflow/core/data/service/client:validate_utils_test PASSED in 2.0s //tensorflow/core/data/service/snapshot:distributed_snapshot_test PASSED in 20.6s //tensorflow/core/data/service/snapshot:file_utils_test PASSED in 0.7s //tensorflow/core/data/service/snapshot:path_utils_test PASSED in 0.1s //tensorflow/core/data/service/snapshot:snapshot_manager_test PASSED in 3.2s //tensorflow/core/data/service/snapshot:snapshot_reader_test PASSED in 1.7s //tensorflow/core/data/service/snapshot:snapshot_split_provider_test PASSED in 1.4s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test PASSED in 4.4s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_test PASSED in 3.4s //tensorflow/core/data/service/snapshot:utils_test PASSED in 0.3s //tensorflow/core/debug:debug_graph_utils_test PASSED in 0.5s //tensorflow/core/distributed_runtime:call_options_test PASSED in 0.1s //tensorflow/core/distributed_runtime:cluster_function_library_runtime_test PASSED in 4.6s //tensorflow/core/distributed_runtime:collective_param_resolver_distributed_test PASSED in 0.7s //tensorflow/core/distributed_runtime:collective_rma_distributed_test PASSED in 0.7s //tensorflow/core/distributed_runtime:device_resolver_distributed_test PASSED in 0.9s //tensorflow/core/distributed_runtime:message_wrappers_test PASSED in 0.2s //tensorflow/core/distributed_runtime:partial_run_mgr_test PASSED in 0.3s //tensorflow/core/distributed_runtime:recent_request_ids_test PASSED in 0.2s //tensorflow/core/distributed_runtime:request_id_test PASSED in 0.6s //tensorflow/core/distributed_runtime:rpc_collective_executor_mgr_test PASSED in 0.4s //tensorflow/core/distributed_runtime:server_lib_test PASSED in 0.1s //tensorflow/core/distributed_runtime:session_mgr_test PASSED in 1.2s //tensorflow/core/distributed_runtime:tensor_coding_test PASSED in 0.2s //tensorflow/core/distributed_runtime/coordination:coordination_service_barrier_proxy_test PASSED in 2.3s //tensorflow/core/distributed_runtime/eager:eager_service_impl_test PASSED in 20.8s //tensorflow/core/distributed_runtime/eager:remote_mgr_test PASSED in 16.0s //tensorflow/core/distributed_runtime/integration_test:c_api_coordination_test_cpu PASSED in 40.4s //tensorflow/core/distributed_runtime/integration_test:c_api_multi_client_test_cpu PASSED in 33.0s //tensorflow/core/distributed_runtime/integration_test:c_api_recoverable_jobs_test_cpu PASSED in 42.8s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 33.1s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 2.2s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 0.7s //tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client_test PASSED in 0.6s //tensorflow/core/example:example_parser_configuration_test PASSED in 1.0s //tensorflow/core/example:feature_util_test PASSED in 0.1s //tensorflow/core/framework:allocator_test PASSED in 3.9s //tensorflow/core/framework:attr_value_util_test PASSED in 0.7s //tensorflow/core/framework:batch_util_test PASSED in 0.6s //tensorflow/core/framework:bfloat16_test PASSED in 0.8s //tensorflow/core/framework:common_shape_fns_test PASSED in 0.6s //tensorflow/core/framework:dataset_test PASSED in 0.6s //tensorflow/core/framework:device_base_test PASSED in 1.6s //tensorflow/core/framework:disable_jit_test PASSED in 1.4s //tensorflow/core/framework:framework_op_gen_lib_test PASSED in 0.1s //tensorflow/core/framework:framework_op_segment_test PASSED in 0.8s //tensorflow/core/framework:framework_resource_var_test PASSED in 0.7s //tensorflow/core/framework:framework_run_handler_test PASSED in 1.6s //tensorflow/core/framework:framework_run_handler_util_test PASSED in 2.6s //tensorflow/core/framework:full_type_inference_util_test PASSED in 1.6s //tensorflow/core/framework:full_type_util_test PASSED in 0.8s //tensorflow/core/framework:function_test PASSED in 0.7s //tensorflow/core/framework:graph_def_util_test PASSED in 0.8s //tensorflow/core/framework:graph_to_functiondef_test PASSED in 0.9s //tensorflow/core/framework:kernel_def_builder_test PASSED in 0.9s //tensorflow/core/framework:kernel_def_util_test PASSED in 0.8s //tensorflow/core/framework:memory_types_test PASSED in 1.2s //tensorflow/core/framework:model_test PASSED in 0.9s //tensorflow/core/framework:node_def_builder_test PASSED in 0.7s //tensorflow/core/framework:node_def_util_test PASSED in 1.2s //tensorflow/core/framework:node_properties_test PASSED in 0.8s //tensorflow/core/framework:op_compatibility_test PASSED in 0.8s //tensorflow/core/framework:op_def_builder_test PASSED in 1.0s //tensorflow/core/framework:op_def_util_test PASSED in 1.3s //tensorflow/core/framework:op_kernel_test PASSED in 0.8s //tensorflow/core/framework:op_registration_test PASSED in 0.8s //tensorflow/core/framework:partial_tensor_shape_test PASSED in 1.4s //tensorflow/core/framework:rendezvous_test PASSED in 3.8s //tensorflow/core/framework:resource_handle_test PASSED in 0.2s //tensorflow/core/framework:resource_mgr_test PASSED in 2.8s //tensorflow/core/framework:resource_op_kernel_test PASSED in 1.5s //tensorflow/core/framework:shape_inference_test PASSED in 0.8s //tensorflow/core/framework:shape_inference_testutil_test PASSED in 0.9s //tensorflow/core/framework:tensor_shape_test PASSED in 7.1s //tensorflow/core/framework:tensor_slice_test PASSED in 2.1s //tensorflow/core/framework:tensor_test PASSED in 31.0s //tensorflow/core/framework:tensor_testutil_test PASSED in 1.5s //tensorflow/core/framework:tensor_util_test PASSED in 1.0s //tensorflow/core/framework:tracking_allocator_test PASSED in 0.7s //tensorflow/core/framework:types_test PASSED in 1.1s //tensorflow/core/framework:variant_op_registry_test PASSED in 19.7s //tensorflow/core/framework:variant_test PASSED in 0.7s //tensorflow/core/framework/registration:registration_test PASSED in 0.8s //tensorflow/core/function/capture:by_ref_capture_test PASSED in 9.0s //tensorflow/core/function/capture:capture_container_test PASSED in 8.5s //tensorflow/core/function/integration_test:side_inputs_manual_api_test PASSED in 18.9s //tensorflow/core/function/integration_test:side_inputs_test PASSED in 18.1s //tensorflow/core/function/polymorphism:function_cache_test PASSED in 6.4s //tensorflow/core/function/polymorphism:function_type_test PASSED in 6.0s //tensorflow/core/function/polymorphism:type_dispatch_test PASSED in 8.5s //tensorflow/core/function/runtime_client:runtime_client_cc_test PASSED in 31.8s //tensorflow/core/function/trace_type:default_types_test PASSED in 8.1s //tensorflow/core/function/trace_type:serialization_test PASSED in 6.6s //tensorflow/core/function/trace_type:trace_type_test PASSED in 9.7s //tensorflow/core/graph:algorithm_test PASSED in 1.0s //tensorflow/core/graph:collective_order_test PASSED in 0.6s //tensorflow/core/graph:control_flow_test PASSED in 0.9s //tensorflow/core/graph:costmodel_test PASSED in 0.8s //tensorflow/core/graph:edgeset_test PASSED in 1.0s //tensorflow/core/graph:graph_def_builder_test PASSED in 1.0s //tensorflow/core/graph:graph_partition_test PASSED in 0.8s //tensorflow/core/graph:graph_test PASSED in 0.8s //tensorflow/core/graph:node_builder_test PASSED in 0.9s //tensorflow/core/graph:optimizer_cse_test PASSED in 1.5s //tensorflow/core/graph:subgraph_test PASSED in 0.9s //tensorflow/core/graph:tensor_id_test PASSED in 0.8s //tensorflow/core/graph:validate_test PASSED in 0.8s //tensorflow/core/graph/regularization:simple_delete_test PASSED in 0.3s //tensorflow/core/graph/regularization:util_test PASSED in 0.2s //tensorflow/core/grappler:graph_topology_view_test PASSED in 0.1s //tensorflow/core/grappler:graph_view_test PASSED in 2.9s //tensorflow/core/grappler:grappler_item_builder_test PASSED in 2.0s //tensorflow/core/grappler:grappler_item_test PASSED in 2.0s //tensorflow/core/grappler:mutable_graph_view_test PASSED in 2.4s //tensorflow/core/grappler:utils_test PASSED in 2.8s //tensorflow/core/grappler/clusters:single_machine_test PASSED in 24.1s //tensorflow/core/grappler/clusters:virtual_cluster_test PASSED in 1.7s //tensorflow/core/grappler/costs:analytical_cost_estimator_test PASSED in 2.7s //tensorflow/core/grappler/costs:cost_estimator_test PASSED in 0.2s //tensorflow/core/grappler/costs:graph_memory_test PASSED in 1.8s //tensorflow/core/grappler/costs:graph_properties_test PASSED in 3.5s //tensorflow/core/grappler/costs:robust_stats_test PASSED in 0.3s //tensorflow/core/grappler/costs:utils_test PASSED in 2.5s //tensorflow/core/grappler/costs:virtual_placer_test PASSED in 1.0s //tensorflow/core/grappler/costs:virtual_scheduler_test PASSED in 1.8s //tensorflow/core/grappler/graph_analyzer:gen_node_test PASSED in 1.9s //tensorflow/core/grappler/graph_analyzer:graph_analyzer_test PASSED in 2.1s //tensorflow/core/grappler/graph_analyzer:hash_tools_test PASSED in 2.1s //tensorflow/core/grappler/graph_analyzer:sig_node_test PASSED in 5.2s //tensorflow/core/grappler/graph_analyzer:subgraph_test PASSED in 1.6s //tensorflow/core/grappler/inputs:utils_test PASSED in 0.1s //tensorflow/core/grappler/optimizers:arithmetic_optimizer_test_cpu PASSED in 4.9s //tensorflow/core/grappler/optimizers:auto_parallel_test_cpu PASSED in 2.0s //tensorflow/core/grappler/optimizers:common_subgraph_elimination_test_cpu PASSED in 2.4s //tensorflow/core/grappler/optimizers:custom_graph_optimizer_registry_test_cpu PASSED in 5.2s //tensorflow/core/grappler/optimizers:debug_stripper_test_cpu PASSED in 2.3s //tensorflow/core/grappler/optimizers:dependency_optimizer_test_cpu PASSED in 2.0s //tensorflow/core/grappler/optimizers:evaluation_utils_test PASSED in 0.8s //tensorflow/core/grappler/optimizers:function_api_info_test PASSED in 0.1s //tensorflow/core/grappler/optimizers:function_optimizer_test_cpu PASSED in 4.1s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_test_cpu PASSED in 3.2s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_factory_test PASSED in 0.3s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_test_cpu PASSED in 2.3s //tensorflow/core/grappler/optimizers:graph_optimizer_stage_test_cpu PASSED in 2.3s //tensorflow/core/grappler/optimizers:implementation_selector_test PASSED in 2.6s //tensorflow/core/grappler/optimizers:loop_optimizer_test_cpu PASSED in 3.1s //tensorflow/core/grappler/optimizers:memory_optimizer_test_cpu PASSED in 1.8s //tensorflow/core/grappler/optimizers:meta_optimizer_test_cpu PASSED in 7.9s //tensorflow/core/grappler/optimizers:mkl_remapper_test PASSED in 2.2s //tensorflow/core/grappler/optimizers:model_pruner_test_cpu PASSED in 3.0s //tensorflow/core/grappler/optimizers:pin_to_host_optimizer_test_cpu PASSED in 2.4s //tensorflow/core/grappler/optimizers:scoped_allocator_optimizer_test PASSED in 2.8s //tensorflow/core/grappler/optimizers:shape_optimizer_test_cpu PASSED in 2.2s //tensorflow/core/grappler/optimizers:static_schedule_test_cpu PASSED in 2.7s //tensorflow/core/grappler/optimizers:tfg_optimizer_hook_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:auto_shard_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:autotune_buffer_sizes_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:batch_parallelization_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:disable_intra_op_parallelism_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:disable_prefetch_legacy_autotune_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:enable_gradient_descent_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:filter_fusion_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:filter_parallelization_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:function_utils_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:fusion_utils_test PASSED in 0.9s //tensorflow/core/grappler/optimizers/data:graph_utils_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:inject_prefetch_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:make_deterministic_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:make_sloppy_test PASSED in 0.8s 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0.2s //tensorflow/tsl/profiler/utils:tf_op_utils_test PASSED in 0.2s //tensorflow/tsl/profiler/utils:timespan_test PASSED in 0.6s //tensorflow/tsl/profiler/utils:tpu_xplane_utils_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:xplane_builder_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:xplane_utils_test PASSED in 0.2s //tensorflow/tsl/util:device_name_utils_test PASSED in 0.1s //tensorflow/tsl/util:stats_calculator_test PASSED in 0.1s //tensorflow/compiler/tests:complex_div_test_cpu PASSED in 6.9s Stats over 2 runs: max = 6.9s, min = 6.3s, avg = 6.6s, dev = 0.3s //tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test PASSED in 7.8s Stats over 2 runs: max = 7.8s, min = 7.0s, avg = 7.4s, dev = 0.4s //tensorflow/compiler/xla/tests:conditional_test_cpu PASSED in 9.1s Stats over 2 runs: max = 9.1s, min = 8.5s, avg = 8.8s, dev = 0.3s //tensorflow/python:control_flow_ops_test_cpu PASSED in 30.3s Stats over 2 runs: max = 30.3s, min = 24.7s, avg = 27.5s, dev = 2.8s //tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 22.0s Stats over 2 runs: max = 22.0s, min = 17.1s, avg = 19.5s, dev = 2.4s //tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 25.5s Stats over 2 runs: max = 25.5s, min = 23.4s, avg = 24.5s, dev = 1.1s //tensorflow/python/data/kernel_tests:padded_batch_test PASSED in 26.6s Stats over 2 runs: max = 26.6s, min = 25.3s, avg = 26.0s, dev = 0.7s //tensorflow/python/data/kernel_tests:repeat_test PASSED in 41.4s Stats over 2 runs: max = 41.4s, min = 39.7s, avg = 40.5s, dev = 0.8s //tensorflow/python/data/kernel_tests:window_test PASSED in 39.0s Stats over 2 runs: max = 39.0s, min = 29.7s, avg = 34.3s, dev = 4.7s //tensorflow/python/distribute:strategy_common_test_2gpu PASSED in 26.5s Stats over 2 runs: max = 26.5s, min = 21.1s, avg = 23.8s, dev = 2.7s //tensorflow/python/distribute:strategy_common_test_cpu PASSED in 23.4s Stats over 2 runs: max = 23.4s, min = 20.0s, avg = 21.7s, dev = 1.7s //tensorflow/python/distribute:strategy_common_test_xla_2gpu PASSED in 15.5s Stats over 2 runs: max = 15.5s, min = 14.7s, avg = 15.1s, dev = 0.4s //tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu PASSED in 13.5s Stats over 2 runs: max = 13.5s, min = 13.4s, avg = 13.4s, dev = 0.0s //tensorflow/python/kernel_tests/array_ops:scatter_ops_test_cpu PASSED in 19.8s Stats over 2 runs: max = 19.8s, min = 18.6s, avg = 19.2s, dev = 0.6s //tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 15.4s Stats over 2 runs: max = 15.4s, min = 15.0s, avg = 15.2s, dev = 0.2s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 10.0s Stats over 2 runs: max = 10.0s, min = 8.2s, avg = 9.1s, dev = 0.9s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 103.3s Stats over 2 runs: max = 103.3s, min = 37.1s, avg = 70.2s, dev = 33.1s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 130.2s Stats over 2 runs: max = 130.2s, min = 6.9s, avg = 68.6s, dev = 61.7s //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 9.8s Stats over 3 runs: max = 9.8s, min = 9.5s, avg = 9.7s, dev = 0.1s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 9.6s Stats over 3 runs: max = 9.6s, min = 9.0s, avg = 9.3s, dev = 0.3s //tensorflow/compiler/xla/tests:triangular_solve_test_cpu PASSED in 60.7s Stats over 3 runs: max = 60.7s, min = 55.6s, avg = 58.1s, dev = 2.1s //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 = 0.1s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 17.5s Stats over 3 runs: max = 17.5s, min = 12.7s, avg = 15.6s, dev = 2.1s //tensorflow/python/data/kernel_tests:unique_test PASSED in 16.5s Stats over 3 runs: max = 16.5s, min = 14.3s, avg = 15.2s, dev = 0.9s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 84.4s Stats over 3 runs: max = 84.4s, min = 65.9s, avg = 72.9s, dev = 8.2s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 11.1s Stats over 3 runs: max = 11.1s, min = 10.4s, avg = 10.8s, dev = 0.3s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 10.9s Stats over 3 runs: max = 10.9s, min = 9.4s, avg = 10.4s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 91.7s Stats over 3 runs: max = 91.7s, min = 11.3s, avg = 38.2s, dev = 37.8s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 17.5s Stats over 3 runs: max = 17.5s, min = 14.0s, avg = 15.1s, dev = 1.6s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 16.1s Stats over 4 runs: max = 16.1s, min = 11.0s, avg = 13.6s, dev = 1.9s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 15.7s Stats over 4 runs: max = 15.7s, min = 11.1s, avg = 12.7s, dev = 1.8s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 32.4s Stats over 4 runs: max = 32.4s, min = 9.2s, avg = 22.6s, dev = 9.2s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 43.0s Stats over 4 runs: max = 43.0s, min = 10.9s, avg = 29.5s, dev = 13.7s //tensorflow/compiler/xla/tests:dynamic_ops_test_cpu PASSED in 10.8s Stats over 4 runs: max = 10.8s, min = 8.8s, avg = 9.7s, dev = 0.7s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 1.0s Stats over 4 runs: max = 1.0s, min = 0.6s, avg = 0.8s, dev = 0.2s //tensorflow/python:nn_batchnorm_test_cpu PASSED in 26.6s Stats over 4 runs: max = 26.6s, min = 12.9s, avg = 20.6s, dev = 5.1s //tensorflow/python:nn_fused_batchnorm_d9m_test_cpu PASSED in 18.6s Stats over 4 runs: max = 18.6s, min = 17.5s, avg = 18.2s, dev = 0.4s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 97.1s Stats over 4 runs: max = 97.1s, min = 64.5s, avg = 87.2s, dev = 13.3s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 44.7s Stats over 4 runs: max = 44.7s, min = 28.7s, avg = 33.4s, dev = 6.6s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 24.0s Stats over 4 runs: max = 24.0s, min = 11.4s, avg = 18.2s, dev = 5.6s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 24.7s Stats over 4 runs: max = 24.7s, min = 12.5s, avg = 17.4s, dev = 4.8s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 84.8s Stats over 4 runs: max = 84.8s, min = 75.3s, avg = 79.3s, dev = 4.1s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 11.2s Stats over 4 runs: max = 11.2s, min = 10.2s, avg = 10.7s, dev = 0.4s //tensorflow/python/data/kernel_tests:batch_test PASSED in 34.3s Stats over 4 runs: max = 34.3s, min = 26.0s, avg = 29.6s, dev = 3.0s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 20.8s Stats over 4 runs: max = 20.8s, min = 11.1s, avg = 16.1s, dev = 4.3s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 31.3s Stats over 4 runs: max = 31.3s, min = 17.0s, avg = 23.1s, dev = 5.4s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 25.9s Stats over 4 runs: max = 25.9s, min = 10.6s, avg = 16.9s, dev = 6.5s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 40.0s Stats over 4 runs: max = 40.0s, min = 36.5s, avg = 38.6s, dev = 1.3s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 33.2s Stats over 4 runs: max = 33.2s, min = 25.1s, avg = 28.2s, dev = 3.3s //tensorflow/python/data/kernel_tests:skip_test PASSED in 28.1s Stats over 4 runs: max = 28.1s, min = 18.6s, avg = 23.7s, dev = 4.2s //tensorflow/python/data/kernel_tests:take_test PASSED in 27.9s Stats over 4 runs: max = 27.9s, min = 25.5s, avg = 26.7s, dev = 0.8s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 34.5s Stats over 4 runs: max = 34.5s, min = 31.7s, avg = 33.1s, dev = 1.0s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 32.0s Stats over 4 runs: max = 32.0s, min = 22.8s, avg = 28.0s, dev = 3.5s //tensorflow/python/data/kernel_tests:zip_test PASSED in 17.2s Stats over 4 runs: max = 17.2s, min = 14.5s, avg = 16.1s, dev = 1.1s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 20.5s Stats over 4 runs: max = 20.5s, min = 19.3s, avg = 19.8s, dev = 0.5s //tensorflow/python/distribute:cross_device_ops_test_2gpu PASSED in 30.3s Stats over 4 runs: max = 30.3s, min = 21.9s, avg = 25.4s, dev = 3.4s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 31.1s Stats over 4 runs: max = 31.1s, min = 23.5s, avg = 26.8s, dev = 2.9s //tensorflow/python/distribute:strategy_gather_test_2gpu PASSED in 43.9s Stats over 4 runs: max = 43.9s, min = 29.0s, avg = 36.2s, dev = 7.1s //tensorflow/python/distribute:strategy_gather_test_cpu PASSED in 26.7s Stats over 4 runs: max = 26.7s, min = 15.3s, avg = 20.8s, dev = 5.5s //tensorflow/python/distribute:strategy_gather_test_xla_2gpu PASSED in 34.6s Stats over 4 runs: max = 34.6s, min = 18.1s, avg = 26.6s, dev = 7.7s //tensorflow/python/framework:convert_to_constants_test PASSED in 43.1s Stats over 4 runs: max = 43.1s, min = 33.6s, avg = 38.0s, dev = 3.4s //tensorflow/python/kernel_tests:collective_ops_test_2gpu PASSED in 37.8s Stats over 4 runs: max = 37.8s, min = 35.7s, avg = 36.9s, dev = 0.9s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 34.6s Stats over 4 runs: max = 34.6s, min = 31.5s, avg = 33.2s, dev = 1.1s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 37.9s Stats over 4 runs: max = 37.9s, min = 35.8s, avg = 37.2s, dev = 0.8s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 70.8s Stats over 4 runs: max = 70.8s, min = 27.2s, avg = 47.9s, dev = 18.2s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 30.7s Stats over 4 runs: max = 30.7s, min = 10.1s, avg = 17.6s, dev = 8.5s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 106.4s Stats over 4 runs: max = 106.4s, min = 17.5s, avg = 52.6s, dev = 36.0s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 27.5s Stats over 4 runs: max = 27.5s, min = 26.7s, avg = 27.1s, dev = 0.3s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 89.1s Stats over 4 runs: max = 89.1s, min = 9.2s, avg = 44.1s, dev = 35.4s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 21.0s Stats over 4 runs: max = 21.0s, min = 17.7s, avg = 19.0s, dev = 1.2s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 67.2s Stats over 4 runs: max = 67.2s, min = 16.6s, avg = 39.8s, dev = 18.1s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 48.7s Stats over 4 runs: max = 48.7s, min = 43.2s, avg = 45.6s, dev = 2.1s //tensorflow/tools/docs:tf_doctest PASSED in 141.2s Stats over 4 runs: max = 141.2s, min = 104.9s, avg = 115.4s, dev = 15.0s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 11.8s Stats over 5 runs: max = 11.8s, min = 11.0s, avg = 11.4s, dev = 0.3s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 16.7s Stats over 5 runs: max = 16.7s, min = 9.2s, avg = 12.5s, dev = 3.4s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 16.2s Stats over 5 runs: max = 16.2s, min = 8.9s, avg = 12.1s, dev = 3.3s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 20.3s Stats over 5 runs: max = 20.3s, min = 13.7s, avg = 16.9s, dev = 2.6s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 16.0s Stats over 5 runs: max = 16.0s, min = 9.3s, avg = 11.9s, dev = 2.6s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 9.3s Stats over 5 runs: max = 9.3s, min = 8.4s, avg = 9.0s, dev = 0.3s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 7.2s Stats over 5 runs: max = 7.2s, min = 6.0s, avg = 6.8s, dev = 0.4s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 7.2s Stats over 5 runs: max = 7.2s, min = 6.6s, avg = 6.8s, dev = 0.2s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 11.4s Stats over 5 runs: max = 11.4s, min = 10.1s, avg = 11.0s, dev = 0.5s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 13.0s Stats over 5 runs: max = 13.0s, min = 11.8s, avg = 12.5s, dev = 0.4s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 11.3s Stats over 5 runs: max = 11.3s, min = 9.0s, avg = 9.8s, dev = 0.8s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 10.0s Stats over 5 runs: max = 10.0s, min = 8.9s, avg = 9.2s, dev = 0.4s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 113.9s Stats over 5 runs: max = 113.9s, min = 17.3s, avg = 52.5s, dev = 33.2s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 101.4s Stats over 5 runs: max = 101.4s, min = 14.6s, avg = 49.4s, dev = 30.0s //tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu PASSED in 27.2s Stats over 5 runs: max = 27.2s, min = 12.5s, avg = 21.3s, dev = 6.5s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 3.0s Stats over 5 runs: max = 3.0s, min = 2.4s, avg = 2.8s, dev = 0.2s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 11.1s Stats over 5 runs: max = 11.1s, min = 9.3s, avg = 10.1s, dev = 0.7s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 14.0s Stats over 5 runs: max = 14.0s, min = 12.1s, avg = 13.0s, dev = 0.8s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 18.1s Stats over 5 runs: max = 18.1s, min = 12.5s, avg = 15.8s, dev = 1.9s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 17.6s Stats over 5 runs: max = 17.6s, min = 14.5s, avg = 16.0s, dev = 1.3s //tensorflow/python/distribute:vars_test_2gpu PASSED in 21.9s Stats over 5 runs: max = 21.9s, min = 18.5s, avg = 20.3s, dev = 1.3s //tensorflow/python/distribute:vars_test_cpu PASSED in 16.7s Stats over 5 runs: max = 16.7s, min = 16.3s, avg = 16.5s, dev = 0.2s //tensorflow/python/eager:device_placement_test_cpu PASSED in 12.8s Stats over 5 runs: max = 12.8s, min = 10.0s, avg = 11.3s, dev = 1.0s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 117.9s Stats over 5 runs: max = 117.9s, min = 31.3s, avg = 61.3s, dev = 29.9s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 15.0s Stats over 5 runs: max = 15.0s, min = 10.4s, avg = 12.3s, dev = 1.9s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 77.4s Stats over 5 runs: max = 77.4s, min = 36.7s, avg = 48.5s, dev = 14.9s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 24.9s Stats over 5 runs: max = 24.9s, min = 24.6s, avg = 24.7s, dev = 0.1s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 43.9s Stats over 5 runs: max = 43.9s, min = 41.2s, avg = 42.7s, dev = 0.9s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 23.6s Stats over 5 runs: max = 23.6s, min = 21.7s, avg = 22.8s, dev = 0.6s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 28.7s Stats over 5 runs: max = 28.7s, min = 28.0s, avg = 28.5s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 26.3s Stats over 5 runs: max = 26.3s, min = 24.4s, avg = 25.5s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 34.7s Stats over 5 runs: max = 34.7s, min = 32.8s, avg = 33.6s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 25.2s Stats over 5 runs: max = 25.2s, min = 21.9s, avg = 23.1s, dev = 1.1s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 20.7s Stats over 5 runs: max = 20.7s, min = 18.9s, avg = 19.9s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 16.6s Stats over 5 runs: max = 16.6s, min = 13.9s, avg = 14.7s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 79.6s Stats over 5 runs: max = 79.6s, min = 77.4s, avg = 78.7s, dev = 0.8s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 10.4s Stats over 5 runs: max = 10.4s, min = 9.3s, avg = 9.7s, dev = 0.4s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 16.4s Stats over 5 runs: max = 16.4s, min = 15.1s, avg = 15.9s, dev = 0.5s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 18.9s Stats over 5 runs: max = 18.9s, min = 10.6s, avg = 12.8s, dev = 3.1s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 18.5s Stats over 5 runs: max = 18.5s, min = 9.2s, avg = 11.7s, dev = 3.4s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 39.7s Stats over 5 runs: max = 39.7s, min = 11.4s, avg = 17.9s, dev = 10.9s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 57.5s Stats over 5 runs: max = 57.5s, min = 23.8s, avg = 37.7s, dev = 12.1s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 17.2s Stats over 6 runs: max = 17.2s, min = 13.1s, avg = 15.2s, dev = 1.2s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 20.6s Stats over 6 runs: max = 20.6s, min = 14.1s, avg = 17.5s, dev = 2.0s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 9.1s Stats over 6 runs: max = 9.1s, min = 7.1s, avg = 7.8s, dev = 0.6s //tensorflow/python:accumulate_n_benchmark_cpu PASSED in 9.0s Stats over 6 runs: max = 9.0s, min = 8.6s, avg = 8.9s, dev = 0.2s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 22.2s Stats over 6 runs: max = 22.2s, min = 5.2s, avg = 12.5s, dev = 6.6s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 71.4s Stats over 6 runs: max = 71.4s, min = 8.3s, avg = 21.9s, dev = 22.3s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 37.1s Stats over 6 runs: max = 37.1s, min = 20.1s, avg = 30.2s, dev = 5.2s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 12.7s Stats over 7 runs: max = 12.7s, min = 8.0s, avg = 9.6s, dev = 1.6s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 60.6s Stats over 8 runs: max = 60.6s, min = 6.6s, avg = 23.9s, dev = 18.2s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 79.5s Stats over 8 runs: max = 79.5s, min = 5.8s, avg = 28.2s, dev = 24.4s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 27.1s Stats over 8 runs: max = 27.1s, min = 8.2s, avg = 14.7s, dev = 6.3s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 39.8s Stats over 8 runs: max = 39.8s, min = 15.6s, avg = 28.8s, dev = 9.5s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 46.5s Stats over 8 runs: max = 46.5s, min = 16.4s, avg = 30.8s, dev = 12.8s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 51.4s Stats over 8 runs: max = 51.4s, min = 14.9s, avg = 24.5s, dev = 12.4s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 23.2s Stats over 8 runs: max = 23.2s, min = 6.3s, avg = 12.5s, dev = 6.2s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 58.9s Stats over 8 runs: max = 58.9s, min = 12.9s, avg = 20.4s, dev = 15.0s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 26.1s Stats over 8 runs: max = 26.1s, min = 19.3s, avg = 21.3s, dev = 2.5s //tensorflow/python/data/kernel_tests:filter_test PASSED in 18.2s Stats over 8 runs: max = 18.2s, min = 14.7s, avg = 16.3s, dev = 1.2s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 30.2s Stats over 8 runs: max = 30.2s, min = 19.8s, avg = 23.5s, dev = 3.4s //tensorflow/python/data/kernel_tests:shard_test PASSED in 22.1s Stats over 8 runs: max = 22.1s, min = 15.2s, avg = 18.7s, dev = 2.1s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 37.3s Stats over 8 runs: max = 37.3s, min = 27.9s, avg = 32.2s, dev = 2.5s //tensorflow/python/distribute/failure_handling:failure_handler_test PASSED in 74.7s Stats over 8 runs: max = 74.7s, min = 21.2s, avg = 42.2s, dev = 18.7s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 63.0s Stats over 8 runs: max = 63.0s, min = 10.8s, avg = 27.1s, dev = 19.9s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 50.4s Stats over 8 runs: max = 50.4s, min = 29.1s, avg = 40.4s, dev = 7.9s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 60.2s Stats over 8 runs: max = 60.2s, min = 43.9s, avg = 52.5s, dev = 5.5s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 52.8s Stats over 8 runs: max = 52.8s, min = 37.5s, avg = 43.5s, dev = 5.5s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 121.8s Stats over 8 runs: max = 121.8s, min = 57.0s, avg = 68.9s, dev = 20.4s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 11.9s Stats over 8 runs: max = 11.9s, min = 10.5s, avg = 11.3s, dev = 0.5s //tensorflow/python/kernel_tests/signal:fft_ops_test_cpu PASSED in 21.3s Stats over 8 runs: max = 21.3s, min = 6.4s, avg = 12.6s, dev = 5.2s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 53.9s Stats over 8 runs: max = 53.9s, min = 34.9s, avg = 41.8s, dev = 6.7s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 27.9s Stats over 8 runs: max = 27.9s, min = 14.5s, avg = 18.7s, dev = 3.9s //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 7.1s Stats over 10 runs: max = 7.1s, min = 3.3s, avg = 5.0s, dev = 1.2s //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 8.4s Stats over 10 runs: max = 8.4s, min = 6.9s, avg = 7.8s, dev = 0.4s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 11.2s Stats over 10 runs: max = 11.2s, min = 9.9s, avg = 10.5s, dev = 0.5s //tensorflow/compiler/tests:image_ops_test_cpu PASSED in 20.1s Stats over 10 runs: max = 20.1s, min = 13.6s, avg = 17.0s, dev = 2.4s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 21.5s Stats over 10 runs: max = 21.5s, min = 16.2s, avg = 18.8s, dev = 1.5s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 26.3s Stats over 10 runs: max = 26.3s, min = 19.7s, avg = 22.7s, dev = 2.0s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 78.3s Stats over 10 runs: max = 78.3s, min = 42.9s, avg = 61.5s, dev = 12.4s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 79.1s Stats over 10 runs: max = 79.1s, min = 41.7s, avg = 61.6s, dev = 13.1s //tensorflow/compiler/xla/client/lib:svd_test_cpu PASSED in 73.7s Stats over 10 runs: max = 73.7s, min = 6.9s, avg = 25.6s, dev = 24.9s //tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu PASSED in 7.4s Stats over 10 runs: max = 7.4s, min = 6.1s, avg = 6.8s, dev = 0.3s //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 2.6s Stats over 10 runs: max = 2.6s, min = 0.8s, avg = 2.1s, dev = 0.7s //tensorflow/python:special_math_ops_test_cpu PASSED in 55.9s Stats over 10 runs: max = 55.9s, min = 8.7s, avg = 16.9s, dev = 13.3s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 15.5s Stats over 10 runs: max = 15.5s, min = 7.9s, avg = 11.1s, dev = 2.0s //tensorflow/python/distribute:input_lib_test_2gpu PASSED in 21.9s Stats over 10 runs: max = 21.9s, min = 14.9s, avg = 18.9s, dev = 2.1s //tensorflow/python/distribute:input_lib_test_cpu PASSED in 52.9s Stats over 10 runs: max = 52.9s, min = 30.4s, avg = 39.6s, dev = 6.2s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 22.3s Stats over 10 runs: max = 22.3s, min = 10.5s, avg = 14.8s, dev = 3.8s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 35.5s Stats over 10 runs: max = 35.5s, min = 25.6s, avg = 30.5s, dev = 3.6s //tensorflow/python/framework:config_vgpu_test_2gpu PASSED in 9.7s Stats over 10 runs: max = 9.7s, min = 7.9s, avg = 8.6s, dev = 0.6s //tensorflow/python/framework:config_vgpu_test_cpu PASSED in 8.6s Stats over 10 runs: max = 8.6s, min = 6.6s, avg = 7.5s, dev = 0.7s //tensorflow/python/framework:function_test_cpu PASSED in 56.7s Stats over 10 runs: max = 56.7s, min = 3.7s, avg = 12.4s, dev = 15.1s //tensorflow/python/grappler:cluster_test_cpu PASSED in 9.8s Stats over 10 runs: max = 9.8s, min = 7.2s, avg = 8.6s, dev = 0.8s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 29.3s Stats over 10 runs: max = 29.3s, min = 25.8s, avg = 27.7s, dev = 1.2s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 38.0s Stats over 10 runs: max = 38.0s, min = 37.0s, avg = 37.4s, dev = 0.3s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 12.4s Stats over 10 runs: max = 12.4s, min = 8.7s, avg = 10.1s, dev = 1.2s //tensorflow/python/kernel_tests/linalg:linear_operator_kronecker_test_cpu PASSED in 35.1s Stats over 10 runs: max = 35.1s, min = 30.6s, avg = 33.2s, dev = 1.4s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 72.6s Stats over 10 runs: max = 72.6s, min = 66.8s, avg = 70.1s, dev = 1.8s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 127.1s Stats over 10 runs: max = 127.1s, min = 7.9s, avg = 20.8s, dev = 35.4s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 41.9s Stats over 10 runs: max = 41.9s, min = 14.1s, avg = 27.2s, dev = 8.4s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 29.4s Stats over 10 runs: max = 29.4s, min = 8.8s, avg = 16.6s, dev = 7.6s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 11.7s Stats over 10 runs: max = 11.7s, min = 7.9s, avg = 9.8s, dev = 1.1s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 10.2s Stats over 10 runs: max = 10.2s, min = 9.1s, avg = 9.6s, dev = 0.3s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 101.7s Stats over 10 runs: max = 101.7s, min = 20.8s, avg = 61.6s, dev = 38.5s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 19.0s Stats over 10 runs: max = 19.0s, min = 15.3s, avg = 16.9s, dev = 1.2s //tensorflow/python/saved_model:load_test_cpu PASSED in 47.9s Stats over 10 runs: max = 47.9s, min = 26.4s, avg = 30.9s, dev = 5.9s //tensorflow/dtensor/python/tests:input_util_test FLAKY, failed in 2 out of 10 in 21.0s Stats over 10 runs: max = 21.0s, min = 12.7s, avg = 16.8s, dev = 2.2s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/dtensor/python/tests/input_util_test/shard_4_of_8/test_attempts/attempt_1.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/dtensor/python/tests/input_util_test/shard_4_of_8/test_attempts/attempt_2.log //tensorflow/compiler/tests:fft_test_cpu PASSED in 22.6s Stats over 12 runs: max = 22.6s, min = 5.6s, avg = 12.9s, dev = 5.3s //tensorflow/compiler/xla/service:triangular_solve_expander_test PASSED in 4.4s Stats over 12 runs: max = 4.4s, min = 1.9s, avg = 3.1s, dev = 0.8s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 23.3s Stats over 12 runs: max = 23.3s, min = 12.4s, avg = 17.3s, dev = 3.6s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 14.5s Stats over 12 runs: max = 14.5s, min = 6.5s, avg = 9.4s, dev = 2.0s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 10.3s Stats over 12 runs: max = 10.3s, min = 6.1s, avg = 8.1s, dev = 1.4s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 222.5s Stats over 12 runs: max = 222.5s, min = 12.0s, avg = 49.1s, dev = 58.2s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 223.5s Stats over 12 runs: max = 223.5s, min = 13.9s, avg = 52.1s, dev = 57.6s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu FAILED in 3 out of 12 in 28.1s Stats over 12 runs: max = 28.1s, min = 3.8s, avg = 12.1s, dev = 7.2s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu/shard_8_of_10/test.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu/shard_8_of_10/test_attempts/attempt_1.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu/shard_8_of_10/test_attempts/attempt_2.log //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 17.6s Stats over 15 runs: max = 17.6s, min = 10.9s, avg = 14.3s, dev = 2.0s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 68.0s Stats over 15 runs: max = 68.0s, min = 59.0s, avg = 62.3s, dev = 2.4s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 48.7s Stats over 15 runs: max = 48.7s, min = 11.1s, avg = 16.3s, dev = 9.4s //tensorflow/python:image_ops_test_cpu PASSED in 18.0s Stats over 16 runs: max = 18.0s, min = 9.6s, avg = 13.9s, dev = 2.5s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 26.4s Stats over 16 runs: max = 26.4s, min = 17.6s, avg = 21.4s, dev = 2.4s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 21.1s Stats over 16 runs: max = 21.1s, min = 4.3s, avg = 12.0s, dev = 4.4s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 24.2s Stats over 16 runs: max = 24.2s, min = 9.1s, avg = 15.6s, dev = 4.0s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 28.7s Stats over 16 runs: max = 28.7s, min = 4.3s, avg = 11.2s, dev = 5.3s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 12.6s Stats over 16 runs: max = 12.6s, min = 7.1s, avg = 9.3s, dev = 1.4s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 12.4s Stats over 16 runs: max = 12.4s, min = 7.7s, avg = 10.6s, dev = 1.5s //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu PASSED in 65.6s Stats over 16 runs: max = 65.6s, min = 14.9s, avg = 25.5s, dev = 11.7s //tensorflow/python/data/kernel_tests:map_test PASSED in 39.7s Stats over 19 runs: max = 39.7s, min = 12.5s, avg = 20.3s, dev = 6.3s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 7.0s Stats over 20 runs: max = 7.0s, min = 3.0s, avg = 4.5s, dev = 1.3s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 8.0s Stats over 20 runs: max = 8.0s, min = 6.4s, avg = 7.4s, dev = 0.3s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 10.6s Stats over 20 runs: max = 10.6s, min = 3.0s, avg = 5.3s, dev = 2.1s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 13.4s Stats over 20 runs: max = 13.4s, min = 3.4s, avg = 6.7s, dev = 2.3s //tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu PASSED in 11.6s Stats over 20 runs: max = 11.6s, min = 10.2s, avg = 10.9s, dev = 0.5s //tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 13.6s Stats over 20 runs: max = 13.6s, min = 10.4s, avg = 12.0s, dev = 0.9s //tensorflow/compiler/xla/tests:dot_operation_test_cpu PASSED in 13.1s Stats over 20 runs: max = 13.1s, min = 10.9s, avg = 11.6s, dev = 0.6s //tensorflow/compiler/xla/tests:reduce_window_test_cpu PASSED in 39.1s Stats over 20 runs: max = 39.1s, min = 6.5s, avg = 14.3s, dev = 9.9s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 25.0s Stats over 20 runs: max = 25.0s, min = 17.9s, avg = 20.5s, dev = 2.0s //tensorflow/python/kernel_tests:metrics_test PASSED in 41.9s Stats over 20 runs: max = 41.9s, min = 11.4s, avg = 21.1s, dev = 8.7s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 9.0s Stats over 20 runs: max = 9.0s, min = 3.4s, avg = 6.6s, dev = 1.8s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 18.7s Stats over 20 runs: max = 18.7s, min = 6.8s, avg = 12.3s, dev = 3.0s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 38.9s Stats over 20 runs: max = 38.9s, min = 3.5s, avg = 12.6s, dev = 11.3s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 104.7s Stats over 20 runs: max = 104.7s, min = 31.0s, avg = 59.1s, dev = 22.0s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 12.3s Stats over 20 runs: max = 12.3s, min = 10.9s, avg = 11.7s, dev = 0.5s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 13.8s Stats over 20 runs: max = 13.8s, min = 6.1s, avg = 9.6s, dev = 2.5s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 111.8s Stats over 20 runs: max = 111.8s, min = 36.2s, avg = 77.2s, dev = 24.1s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 22.7s Stats over 20 runs: max = 22.7s, min = 5.3s, avg = 12.5s, dev = 5.6s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 18.7s Stats over 20 runs: max = 18.7s, min = 8.4s, avg = 12.8s, dev = 3.1s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 25.8s Stats over 20 runs: max = 25.8s, min = 20.2s, avg = 22.6s, dev = 1.5s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 64.9s Stats over 20 runs: max = 64.9s, min = 4.6s, avg = 28.1s, dev = 20.0s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 18.3s Stats over 20 runs: max = 18.3s, min = 9.6s, avg = 14.3s, dev = 2.1s //tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 21.2s Stats over 24 runs: max = 21.2s, min = 9.4s, avg = 16.2s, dev = 3.2s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 21.2s Stats over 24 runs: max = 21.2s, min = 7.7s, avg = 13.3s, dev = 4.0s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 21.4s Stats over 24 runs: max = 21.4s, min = 5.0s, avg = 11.5s, dev = 4.5s //tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu PASSED in 9.1s Stats over 25 runs: max = 9.1s, min = 7.2s, avg = 8.2s, dev = 0.5s //tensorflow/compiler/xla/tests:select_and_scatter_test_cpu PASSED in 33.6s Stats over 25 runs: max = 33.6s, min = 6.6s, avg = 10.9s, dev = 7.0s //tensorflow/compiler/xla/tests:convolution_variants_test_cpu PASSED in 8.0s Stats over 30 runs: max = 8.0s, min = 6.2s, avg = 6.8s, dev = 0.4s //tensorflow/compiler/xla/tests:iota_test_cpu PASSED in 13.7s Stats over 30 runs: max = 13.7s, min = 11.9s, avg = 12.8s, dev = 0.4s //tensorflow/compiler/xla/tests:params_test_cpu PASSED in 13.6s Stats over 30 runs: max = 13.6s, min = 7.1s, avg = 8.9s, dev = 1.5s //tensorflow/compiler/xla/tests:reshape_test_cpu PASSED in 9.4s Stats over 30 runs: max = 9.4s, min = 6.7s, avg = 8.3s, dev = 0.8s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 25.6s Stats over 30 runs: max = 25.6s, min = 3.4s, avg = 9.6s, dev = 5.6s //tensorflow/compiler/xla/tests:reduce_test_cpu PASSED in 10.6s Stats over 31 runs: max = 10.6s, min = 9.2s, avg = 9.7s, dev = 0.3s //tensorflow/compiler/xla/tests:scalar_computations_test_cpu PASSED in 10.5s Stats over 32 runs: max = 10.5s, min = 7.5s, avg = 8.4s, dev = 0.6s //tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 18.2s Stats over 32 runs: max = 18.2s, min = 6.7s, avg = 13.7s, dev = 2.7s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 37.3s Stats over 32 runs: max = 37.3s, min = 9.3s, avg = 20.9s, dev = 6.5s //tensorflow/compiler/xla/tests:batch_normalization_test_cpu PASSED in 9.5s Stats over 40 runs: max = 9.5s, min = 6.6s, avg = 8.0s, dev = 0.7s //tensorflow/compiler/xla/tests:bfloat16_test_cpu PASSED in 9.1s Stats over 40 runs: max = 9.1s, min = 7.1s, avg = 8.0s, dev = 0.5s //tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu PASSED in 10.6s Stats over 40 runs: max = 10.6s, min = 7.2s, avg = 8.7s, dev = 0.8s //tensorflow/compiler/xla/tests:slice_test_cpu PASSED in 10.6s Stats over 40 runs: max = 10.6s, min = 7.2s, avg = 9.1s, dev = 0.9s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 97.6s Stats over 50 runs: max = 97.6s, min = 21.0s, avg = 47.1s, dev = 28.2s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 37.0s Stats over 50 runs: max = 37.0s, min = 2.9s, avg = 10.4s, dev = 7.3s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 36.9s Stats over 50 runs: max = 36.9s, min = 3.0s, avg = 11.0s, dev = 7.6s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 10.2s Stats over 50 runs: max = 10.2s, min = 6.3s, avg = 8.3s, dev = 1.0s //tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu PASSED in 12.0s Stats over 50 runs: max = 12.0s, min = 9.3s, avg = 10.8s, dev = 0.6s //tensorflow/compiler/xla/tests:convolution_test_cpu PASSED in 13.2s Stats over 50 runs: max = 13.2s, min = 9.7s, avg = 10.8s, dev = 0.7s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 15.4s Stats over 50 runs: max = 15.4s, min = 4.4s, avg = 8.0s, dev = 2.5s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 8.9s Stats over 50 runs: max = 8.9s, min = 3.4s, avg = 5.7s, dev = 1.9s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 10.3s Stats over 50 runs: max = 10.3s, min = 2.9s, avg = 6.0s, dev = 2.2s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 25.7s Stats over 50 runs: max = 25.7s, min = 7.2s, avg = 14.3s, dev = 4.9s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 15.7s Stats over 50 runs: max = 15.7s, min = 3.4s, avg = 5.3s, dev = 2.4s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 12.7s Stats over 50 runs: max = 12.7s, min = 2.8s, avg = 6.2s, dev = 2.1s Executed 3633 out of 3633 tests: 3632 tests pass and 1 fails locally. There were tests whose specified size is too big. Use the --test_verbose_timeout_warnings command line option to see which ones these are.