xiezhq-hermann commented on a change in pull request #15906: [Numpy] Numpy
operator diff
URL: https://github.com/apache/incubator-mxnet/pull/15906#discussion_r323559384
##########
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:
I agreed your opinions and that's what I did before, but the present random
cases generator should be concise and easy to understand.
The tests are switched to random cases mainly for the balance of time cost
and test coverage, which is advised by @haojin2 , could you reach an agreement?
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