tingying2020 commented on a change in pull request #15838: [numpy] nonzero
URL: https://github.com/apache/incubator-mxnet/pull/15838#discussion_r324023059
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File path: tests/python/unittest/test_numpy_op.py
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@@ -1744,6 +1744,44 @@ def test_indexing_mode(sampler, set_size, samples_size,
replace, weight=None):
test_indexing_mode(test_choice_weighted, num_classes, num_classes
// 2, replace, weight)
+@with_seed()
+@use_np
+def test_np_nonzero():
+ class TestNonzero(HybridBlock):
+ def __init__(self):
+ super(TestNonzero, self).__init__()
+
+ def hybrid_forward(self, F, x):
+ return F.npx.nonzero(x)
+
+ types = ['int32', 'int64', 'float64', 'float32', 'float16']
+ for hybridize in [True, False]:
+ for shape in [(),
+ (1,),
+ (1, 1),
+ (1, 2, 3),
+ (1, 0),
+ (2, 0, 3)
+ ]:
+ for oneType in types:
+ rtol=1e-3
+ atol=1e-5
+ test_nonzero = TestNonzero()
+ if hybridize:
+ test_nonzero.hybridize()
+ x = rand_ndarray(shape, dtype=oneType).as_np_ndarray()
+ np_out = _np.nonzero(x.asnumpy())
+ np_out = _np.transpose(np_out)
+ mx_out = test_nonzero(x)
+ assert mx_out.shape == np_out.shape
+ assert_almost_equal(mx_out.asnumpy(), np_out, rtol, atol)
+
+ # Test imperative once again
+ mx_out = npx.nonzero(x)
+ np_out = _np.nonzero(x.asnumpy())
+ np_out = _np.transpose(np_out)
+ assert_almost_equal(mx_out.asnumpy(), np_out, rtol, atol)
+
Review comment:
Added, thank you.
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