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The following commit(s) were added to refs/heads/master by this push: new 17643e7 Update test_sparse_operator.py (#10050) 17643e7 is described below commit 17643e78673d12e11977ccbc249b4cbbf3a898c6 Author: Haibin Lin <linhaibin.e...@gmail.com> AuthorDate: Sat Mar 10 13:16:00 2018 +0800 Update test_sparse_operator.py (#10050) --- tests/python/unittest/test_sparse_operator.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/python/unittest/test_sparse_operator.py b/tests/python/unittest/test_sparse_operator.py index 4e5d354..a8bf5a5 100644 --- a/tests/python/unittest/test_sparse_operator.py +++ b/tests/python/unittest/test_sparse_operator.py @@ -1662,10 +1662,10 @@ def test_sparse_embedding(): weight[:] = rand_ndarray(weight.shape, 'row_sparse', density=density) # check forward exe_test.forward(is_train=True) - assert_almost_equal(exe_test.outputs[0].asnumpy(), np.dot(np_onehot, weight.asnumpy())) + assert_almost_equal(exe_test.outputs[0].asnumpy(), np.dot(np_onehot, weight.asnumpy()), atol=1e-4) # check backward exe_test.backward([grad]) - assert_almost_equal(grad_map["embed_weight"].asnumpy(), np.dot(np_onehot.T, grad.asnumpy())) + assert_almost_equal(grad_map["embed_weight"].asnumpy(), np.dot(np_onehot.T, grad.asnumpy()), atol=1e-4) densities = [0, 0.5, 1] in_dim = 50 -- To stop receiving notification emails like this one, please contact j...@apache.org.