anirudh2290 opened a new issue #11758: Flaky test test_batchnorm_fallback URL: https://github.com/apache/incubator-mxnet/issues/11758 Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the checklist for essential information to most of the technical issues and bug reports. For non-technical issues and feature requests, feel free to present the information in what you believe is the best form. For Q & A and discussion, please start a discussion thread at https://discuss.mxnet.io ## Description Please see: https://github.com/apache/incubator-mxnet/pull/11630 ``` nosetests -v tests/python/unittest/test_sparse_operator.py:test_batchnorm_fallback ``` ``` ====================================================================== FAIL: test_sparse_operator.test_batchnorm_fallback ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/home/ubuntu/sparse_support/mxnet/tests/python/unittest/common.py", line 175, in test_new orig_test(*args, **kwargs) File "/home/ubuntu/sparse_support/mxnet/tests/python/unittest/test_sparse_operator.py", line 2168, in test_batchnorm_fallback check_numeric_gradient(test, in_location, xmean_std, numeric_eps=1e-2, rtol=0.2, atol=0.01) File "/home/ubuntu/sparse_support/mxnet/python/mxnet/test_utils.py", line 914, in check_numeric_gradient ("NUMERICAL_%s"%name, "BACKWARD_%s"%name)) File "/home/ubuntu/sparse_support/mxnet/python/mxnet/test_utils.py", line 493, in assert_almost_equal raise AssertionError(msg) AssertionError: Items are not equal: Error 1.527669 exceeds tolerance rtol=0.200000, atol=0.010000. Location of maximum error:(1, 0), a=-0.024199, b=-0.006835 NUMERICAL_data: array([[ -1.8939614 , 1.3321757 , 0.5621314 ], [ -0.02419949, 17.293682 , -17.25668 ]], dtype=float32) BACKWARD_data: array([[ -1.8941365 , 1.3321089 , 0.56202877], [ -0.00683459, 17.263582 , -17.256752 ]], dtype=float32) -------------------- >> begin captured logging << -------------------- common: INFO: Setting module np/mx/python random seeds, use MXNET_MODULE_SEED=569235190 to reproduce. common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=905120541 to reproduce. --------------------- >> end captured logging << --------------------- ---------------------------------------------------------------------- Ran 1 test in 0.295s ``` ## Environment info (Required) ``` What to do: 1. Download the diagnosis script from https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py 2. Run the script using `python diagnose.py` and paste its output here. ``` Package used (Python/R/Scala/Julia): (I'm using ...) For Scala user, please provide: 1. Java version: (`java -version`) 2. Maven version: (`mvn -version`) 3. Scala runtime if applicable: (`scala -version`) For R user, please provide R `sessionInfo()`: ## Build info (Required if built from source) Compiler (gcc/clang/mingw/visual studio): MXNet commit hash: (Paste the output of `git rev-parse HEAD` here.) Build config: (Paste the content of config.mk, or the build command.) ## Error Message: (Paste the complete error message, including stack trace.) ## Minimum reproducible example (If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.) ## Steps to reproduce (Paste the commands you ran that produced the error.) 1. 2. ## What have you tried to solve it? 1. 2.
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