xiezhq-hermann commented on a change in pull request #15906: [Numpy] Numpy
operator diff
URL: https://github.com/apache/incubator-mxnet/pull/15906#discussion_r323545625
##########
File path: tests/python/unittest/test_numpy_op.py
##########
@@ -1519,6 +1519,58 @@ def hybrid_forward(self, F, a):
assert_almost_equal(mx_out.asnumpy(), np_out,
rtol=1e-3, atol=1e-5)
+@with_seed()
+@use_np
+def test_np_diff():
+ def np_diff_backward(ograd, n, axis):
+ res = ograd
+ for i in range(n):
+ res = _np.negative(_np.diff(res, n=1, axis=axis, prepend=0,
append=0))
+ return res
+
+ class TestDiff(HybridBlock):
+ def __init__(self, n=1, axis=-1):
+ super(TestDiff, self).__init__()
+ self._n = n
+ self._axis = axis
+
+ def hybrid_forward(self, F, a):
+ return F.np.diff(a, n=self._n, axis=self._axis)
+
+ shapes = [tuple(random.randrange(10) for i in range(random.randrange(6)))
for j in range(5)]
Review comment:
Hi, the random shape generator should have covered the corner cases,
including zero dim, 1d to 5d input shape. Actually, the codes have been tested
by static shapes and the random generator here is for shorter testing time.
Do you think it's necessary to change back still? If yes, I'll do it.
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