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Posted to commits@mxnet.apache.org by an...@apache.org on 2019/03/04 20:37:14 UTC

[incubator-mxnet] branch master updated: FIX: flaky test exponential generator (#14287)

This is an automated email from the ASF dual-hosted git repository.

anirudh2290 pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/master by this push:
     new 6152ffa  FIX: flaky test exponential generator (#14287)
6152ffa is described below

commit 6152ffa1ed7a7a46cc503c1ed8cc6a63d6278d10
Author: Rohit Kumar Srivastava <sr...@osu.edu>
AuthorDate: Mon Mar 4 12:36:35 2019 -0800

    FIX: flaky test exponential generator (#14287)
    
    * changing success_percentage test correctness of random exponential generator to 20% to fix its flakiness
    
    * Re-Trigger build
---
 tests/python/unittest/test_random.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/python/unittest/test_random.py b/tests/python/unittest/test_random.py
index 4e31a23..b786c5b 100644
--- a/tests/python/unittest/test_random.py
+++ b/tests/python/unittest/test_random.py
@@ -560,12 +560,12 @@ def test_exponential_generator():
         for scale in [0.1, 1.0]:
             buckets, probs = gen_buckets_probs_with_ppf(lambda x: ss.expon.ppf(x, loc=0, scale=scale), 5)
             generator_mx = lambda x: mx.nd.random.exponential(scale, shape=x, ctx=ctx, dtype=dtype).asnumpy()
-            verify_generator(generator=generator_mx, buckets=buckets, probs=probs)
+            verify_generator(generator=generator_mx, buckets=buckets, probs=probs, success_rate=0.20)
             generator_mx_same_seed = \
                 lambda x: np.concatenate(
                     [mx.nd.random.exponential(scale, shape=x // 10, ctx=ctx, dtype=dtype).asnumpy()
                      for _ in range(10)])
-            verify_generator(generator=generator_mx_same_seed, buckets=buckets, probs=probs)
+            verify_generator(generator=generator_mx_same_seed, buckets=buckets, probs=probs, success_rate=0.20)
 
 @with_seed()
 def test_poisson_generator():