tingying2020 commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323690459
##########
File path: tests/python/unittest/test_numpy_op.py
##########
@@ -1744,6 +1777,45 @@ 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_ravel():
+ class TestRavel(HybridBlock):
+ def __init__(self):
+ super(TestRavel, self).__init__()
+
+ def hybrid_forward(self, F, a):
+ return F.np.ravel(a)
+
+ types = ['float64', 'float32', 'float16', 'int64', 'int32', 'int8']
+ for oneType in types:
+ for hybridize in [True, False]:
+ for shape in [(),
+ (2,),
+ (2, 2),
+ (1, 2, 3),
+ (3, 0),
+ (1, 0, 2)
+ ]:
+ test_ravel = TestRavel()
+ if hybridize:
+ test_ravel.hybridize()
+ x = rand_ndarray(shape, dtype=oneType).as_np_ndarray()
+ x.attach_grad()
+ np_out = _np.ravel(x.asnumpy())
+ with mx.autograd.record():
+ mx_out = test_ravel(x)
+ assert mx_out.shape == np_out.shape
Review comment:
Done.
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