See https://ci.linaro.org/job/ldcg-python-manylinux-tensorflow-onednn-nightly/172/display/redirect
Changes:
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30.3s, min = 26.2s, avg = 28.3s, dev = 2.1s //tensorflow/python/distribute:strategy_common_test_cpu PASSED in 33.3s Stats over 2 runs: max = 33.3s, min = 21.4s, avg = 27.3s, dev = 5.9s //tensorflow/python/distribute/failure_handling:failure_handler_test NO STATUS //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 64.0s Stats over 4 runs: max = 64.0s, min = 6.2s, avg = 30.7s, dev = 25.1s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 7.9s Stats over 5 runs: max = 7.9s, min = 6.5s, avg = 7.1s, dev = 0.5s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 7.0s Stats over 5 runs: max = 7.0s, min = 4.9s, avg = 5.9s, dev = 0.7s //tensorflow/python/distribute:vars_test_2gpu PASSED in 14.5s Stats over 5 runs: max = 14.5s, min = 9.6s, avg = 12.5s, dev = 1.7s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 7.0s Stats over 6 runs: max = 7.0s, min = 5.9s, avg = 6.3s, dev = 0.4s //tensorflow/python:accumulate_n_benchmark_cpu PASSED in 5.8s Stats over 6 runs: max = 5.8s, min = 4.5s, avg = 5.3s, dev = 0.4s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 21.6s Stats over 6 runs: max = 21.6s, min = 5.6s, avg = 12.7s, dev = 6.7s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 73.7s Stats over 8 runs: max = 73.7s, min = 4.5s, avg = 27.5s, dev = 23.6s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 27.8s Stats over 8 runs: max = 27.8s, min = 6.3s, avg = 13.9s, dev = 7.0s //tensorflow/python/data/kernel_tests:filter_test PASSED in 13.7s Stats over 8 runs: max = 13.7s, min = 9.6s, avg = 11.9s, dev = 1.3s //tensorflow/compiler/xla/client/lib:svd_test_cpu NO STATUS //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 3.6s Stats over 10 runs: max = 3.6s, min = 1.5s, avg = 2.7s, dev = 0.6s //tensorflow/python/distribute:input_lib_test_cpu PASSED in 30.9s Stats over 10 runs: max = 30.9s, min = 17.0s, avg = 24.1s, dev = 4.1s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 19.2s Stats over 10 runs: max = 19.2s, min = 5.1s, avg = 12.1s, dev = 4.7s //tensorflow/python/distribute:multi_process_runner_test_2gpu NO STATUS //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 17.5s Stats over 12 runs: max = 17.5s, min = 3.7s, avg = 9.5s, dev = 4.4s //tensorflow/python:image_ops_test_cpu PASSED in 21.6s Stats over 16 runs: max = 21.6s, min = 8.0s, avg = 12.6s, dev = 3.9s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 21.6s Stats over 16 runs: max = 21.6s, min = 6.9s, avg = 12.5s, dev = 3.7s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 9.7s Stats over 50 runs: max = 9.7s, min = 7.5s, avg = 8.3s, dev = 0.4s
Executed 387 out of 3046 tests: 384 tests pass, 1 fails to build and 2661 were skipped. There were tests whose specified size is too big. Use the --test_verbose_timeout_warnings command line option to see which ones these are. stdout_lines: <omitted>
PLAY RECAP ********************************************************************* localhost : ok=56 changed=35 unreachable=0 failed=1 skipped=17 rescued=0 ignored=0
Tuesday 06 September 2022 03:14:28 +0000 (0:29:05.349) 1:17:55.852 ***** =============================================================================== tensorflow : build TensorFlow-oneDNN-ACL git for cp37-cp37m ---------- 2168.36s tensorflow : Run unit tests on TensorFlow-oneDNN-ACL git for cp37-cp37m 1745.35s python : build wheels of Python package h5py~=3.6.0 ------------------- 260.21s python : build wheels of Python package Keras_Applications ------------ 257.73s install bazel build requirements --------------------------------------- 47.79s tensorflow : populate cp37-cp37m virtualenv ---------------------------- 34.85s python : install numpy build requirements ------------------------------ 32.31s fetch tensorflow-oneDNN-ACL from git ----------------------------------- 23.66s python : create cp37-cp37m virtualenv ---------------------------------- 14.04s python : install h5py build requirements ------------------------------- 11.01s python : build wheels of Python package grpcio ------------------------- 10.18s install tensorflow build requirements ----------------------------------- 8.03s python : install scipy-1.7.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl Python package --- 7.54s python : build wheels of Python package scipy --------------------------- 7.45s tensorflow : remove TensorFlow-oneDNN-ACL git sources from previous build --- 5.17s Gathering Facts --------------------------------------------------------- 4.62s python : build wheels of Python package numpy>=1.20 --------------------- 4.25s python : build wheels of Python package Keras_Preprocessing ------------- 4.23s python : enable EPEL ---------------------------------------------------- 3.10s python : install h5py-3.6.0-cp37-cp37m-linux_aarch64.whl Python package --- 3.02s Build step 'Execute shell' marked build as failure