[incubator-mxnet] branch master updated: remove fixed seed for test_sparse_ndarray/test_operator_gpu.test_sparse_nd_pickle (#12012)

[ha...@apache.org]

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haibin 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 067197f  remove fixed seed for test_sparse_ndarray/test_operator_gpu.test_sparse_nd_pickle (#12012)
067197f is described below

commit 067197f544d0cff0b2afd1f2f4304ec07b52c48c
Author: Hao Jin <ha...@users.noreply.github.com>
AuthorDate: Sat Aug 4 01:31:47 2018 -0400

    remove fixed seed for test_sparse_ndarray/test_operator_gpu.test_sparse_nd_pickle (#12012)
---
 tests/python/unittest/test_sparse_ndarray.py | 22 ++++++++++------------
 1 file changed, 10 insertions(+), 12 deletions(-)

diff --git a/tests/python/unittest/test_sparse_ndarray.py b/tests/python/unittest/test_sparse_ndarray.py
index 508f523..7d3d580 100644
--- a/tests/python/unittest/test_sparse_ndarray.py
+++ b/tests/python/unittest/test_sparse_ndarray.py
@@ -514,24 +514,22 @@ def test_sparse_nd_astype_copy():
         assert (id(x) == id(y))
 
 
-@with_seed(0)
+@with_seed()
 def test_sparse_nd_pickle():
-    repeat = 1
     dim0 = 40
     dim1 = 40
     stypes = ['row_sparse', 'csr']
     densities = [0, 0.5]
     stype_dict = {'row_sparse': RowSparseNDArray, 'csr': CSRNDArray}
-    for _ in range(repeat):
-        shape = rand_shape_2d(dim0, dim1)
-        for stype in stypes:
-            for density in densities:
-                a, _ = rand_sparse_ndarray(shape, stype, density)
-                assert isinstance(a, stype_dict[stype])
-                data = pkl.dumps(a)
-                b = pkl.loads(data)
-                assert isinstance(b, stype_dict[stype])
-                assert same(a.asnumpy(), b.asnumpy())
+    shape = rand_shape_2d(dim0, dim1)
+    for stype in stypes:
+        for density in densities:
+            a, _ = rand_sparse_ndarray(shape, stype, density)
+            assert isinstance(a, stype_dict[stype])
+            data = pkl.dumps(a)
+            b = pkl.loads(data)
+            assert isinstance(b, stype_dict[stype])
+            assert same(a.asnumpy(), b.asnumpy())
 
 
 # @kalyc: Getting rid of fixed seed as flakiness could not be reproduced