haojin2 commented on a change in pull request #17084: [numpy] add op median
URL: https://github.com/apache/incubator-mxnet/pull/17084#discussion_r359121659
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File path: tests/python/unittest/test_numpy_op.py
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@@ -712,6 +712,41 @@ def avg_backward(a, w, avg, axes, init_a_grad=None,
init_w_grad=None):
assert_almost_equal(mx_sum_of_weights.asnumpy(),
np_sum_of_weights, rtol=rtol, atol=atol)
assert_almost_equal(mx_out.asnumpy(), np_out.astype(dtype), rtol=rtol,
atol=atol)
+def test_np_median():
+ class TestMedian(HybridBlock):
+ def __init__(self, axis=None, keepdims=False):
+ super(TestMedian, self).__init__()
+ self._axis = axis
+ self._keepdims = keepdims
+
+ def hybrid_forward(self, F, a):
+ return F.np.median(a, axis=self._axis, keepdims=self._keepdims)
+
+ flags = [True, False]
+ dtypes = ['float16', 'float32', 'float64']
+ qtypes = ['float32', 'float64']
+ tensor_shapes = [
+ ((2, 3), None),
+ ((2, 3, 4, 5), 3),
+ ((2, 3, 4), (0, 2)),
+ ((2, 3, 4), 1)
+ ]
+ for hybridize, keepdims, (a_shape, axis), dtype in \
Review comment:
one more blank line above
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