[GitHub] anirudh2290 closed pull request #12402: fixed flaky test issue for test_operator_gpu.test_depthwise_convolution

[GitBox <gi...@apache.org>]

anirudh2290 closed pull request #12402: fixed flaky test issue for test_operator_gpu.test_depthwise_convolution
URL: https://github.com/apache/incubator-mxnet/pull/12402
 
 
   

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diff --git a/tests/python/unittest/test_operator.py b/tests/python/unittest/test_operator.py
index 5bd88dd5869..5be4761f1f8 100644
--- a/tests/python/unittest/test_operator.py
+++ b/tests/python/unittest/test_operator.py
@@ -1617,7 +1617,6 @@ def test_convolution_grouping():
             np.testing.assert_allclose(arr1.asnumpy(), arr2.asnumpy(), rtol=1e-3, atol=1e-4)
 
 
-@unittest.skip("Flaky test https://github.com/apache/incubator-mxnet/issues/12203")
 @with_seed()
 def test_depthwise_convolution():
     for dim in [1,2]:
@@ -1651,7 +1650,7 @@ def test_depthwise_convolution():
                             exe2 = y2.simple_bind(mx.cpu(), x=shape, w=(num_filter, shape[1]//num_group)+kernel,
                                     b=(num_filter,))
                             for arr1, arr2 in zip(exe1.arg_arrays, exe2.arg_arrays):
-                                arr1[:] = np.random.normal(size=arr1.shape)
+                                arr1[:] = np.float32(np.random.normal(size=arr1.shape))
                                 arr2[:] = arr1
                             exe1.forward(is_train=True)
                             exe1.backward(exe1.outputs[0])
@@ -1659,7 +1658,7 @@ def test_depthwise_convolution():
                             exe2.backward(exe2.outputs[0])
 
                             for arr1, arr2 in zip(exe1.outputs + exe1.grad_arrays, exe2.outputs + exe2.grad_arrays):
-                                np.testing.assert_allclose(arr1.asnumpy(), arr2.asnumpy(), rtol=1e-3, atol=1e-3)
+                                np.testing.assert_allclose(arr1.asnumpy(), arr2.asnumpy(), rtol=1e-2, atol=1e-3)
 
 def gen_broadcast_data(idx):
     # Manually set test cases


 

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