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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/08/03 11:00:08 UTC

[GitHub] marcoabreu opened a new issue #9856: Flaky test_random.test_gamma_generator

marcoabreu opened a new issue #9856: Flaky test_random.test_gamma_generator
URL: https://github.com/apache/incubator-mxnet/issues/9856
 
 
   http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/master/398/pipeline
   
   ```
   ======================================================================
   
   FAIL: test_random.test_gamma_generator
   
   ----------------------------------------------------------------------
   
   Traceback (most recent call last):
   
     File "/usr/local/lib/python3.5/dist-packages/nose/case.py", line 198, in runTest
   
       self.test(*self.arg)
   
     File "/workspace/tests/python/unittest/common.py", line 155, in test_new
   
       orig_test(*args, **kwargs)
   
     File "/workspace/tests/python/unittest/test_random.py", line 359, in test_gamma_generator
   
       verify_generator(generator=generator_mx_same_seed, buckets=buckets, probs=probs)
   
     File "/workspace/python/mxnet/test_utils.py", line 1891, in verify_generator
   
       str(buckets), str(probs)))
   
   AssertionError: Generator test fails, Chi-square p=[0.48924374659124903, 0.010385813514976699, 0.04690012282396099, 0.024646425434321113, 0.0325781275893177], obs_freq=[array([200090, 200397, 199297, 200077, 200139]), array([199645, 199037, 200196, 201238, 199884]), array([199299, 200081, 201112, 199945, 199563]), array([199821, 201005, 198991, 200373, 199810]), array([200055, 199955, 198868, 200255, 200867])], expected_freq=[array([200000, 200000, 200000, 200000, 200000], dtype=int32), array([200000, 200000, 200000, 200000, 200000], dtype=int32), array([200000, 200000, 200000, 200000, 200000], dtype=int32), array([200000, 200000, 200000, 200000, 200000], dtype=int32), array([200000, 200000, 200000, 200000, 200000], dtype=int32)].
   
   buckets=[(0.0, 0.032092377333650786), (0.032092377333650786, 0.13749794886422795), (0.13749794886422795, 0.3541631504003966), (0.3541631504003966, 0.8211872075748949), (0.8211872075748949, inf)], probs=[0.2, 0.2, 0.2, 0.2, 0.2]
   
   -------------------- >> begin captured stdout << ---------------------
   
   ctx=cpu(0), dtype=float16, Shape=0.5, Scale=1:
   
   ctx=cpu(0), dtype=float16, Shape=1, Scale=5:
   
   ctx=cpu(0), dtype=float32, Shape=0.5, Scale=1:
   
   ctx=cpu(0), dtype=float32, Shape=1, Scale=5:
   
   ctx=cpu(0), dtype=float64, Shape=0.5, Scale=1:
   
   
   
   --------------------- >> end captured stdout << ----------------------
   
   -------------------- >> begin captured logging << --------------------
   
   common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1547976354 to reproduce.
   
   --------------------- >> end captured logging << ---------------------
   
   ```

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