hzfan commented on a change in pull request #15325: [Numpy] Numpy vstack
URL: https://github.com/apache/incubator-mxnet/pull/15325#discussion_r303276266
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File path: tests/python/unittest/test_numpy_op.py
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@@ -1162,6 +1162,63 @@ def test_np_broadcast_arrays():
pass
+@with_seed()
[email protected]_np
+def test_np_vstack():
+ class TestVstack(HybridBlock):
+ def __init__(self):
+ super(TestVstack, self).__init__()
+
+ def hybrid_forward(self, F, a, *args):
+ return F.np.vstack([a] + list(args))
+
+ def g(data):
+ return _np.ones_like(data)
+
+ configs = [
+ ((), (), ()),
+ ((2), (2), (2)),
+ ((0), (0), (0)),
+ ((2, 2), (3, 2), (0, 2)),
+ ((2, 3), (1, 3), (4, 3)),
+ ((2, 2, 2), (3, 2, 2), (1, 2, 2)),
+ ((0, 1, 1), (4, 1, 1), (5, 1, 1)),
+ ((2), (0, 2), (2, 2))
+ ]
+ types = ['float16', 'float32', 'float64', 'int8', 'int32', 'int64']
+ for config in configs:
+ for hybridize in [True, False]:
+ for dtype in types:
+ print('config = {}'.format(config))
Review comment:
removed. @haojin2
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