zoeygxy commented on a change in pull request #15388: Doc
URL: https://github.com/apache/incubator-mxnet/pull/15388#discussion_r298461030
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File path: python/mxnet/_numpy_op_doc.py
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@@ -176,3 +176,116 @@ def _np_cumsum(a, axis=None, dtype=None, out=None):
`axis` is not None or `a` is a 1-d array.
"""
pass
+
+def _np_prod(a, axis=None, dtype=None, out=None, keepdims=None):
+ r"""
+ prod(a, axis=None, dtype=None, out=None, keepdims=_Null)
+
+ Return the product of array elements over a given axis.
+
+ Parameters
+ ----------
+ a : ndarray
+ Input data.
+ axis : None or int or tuple of ints, optional
+ Axis or axes along which a product is performed. The default,
+ axis=None, will calculate the product of all the elements in the
+ input array. If axis is negative it counts from the last to the
+ first axis.
+
+ If axis is a tuple of ints, a product is performed on all of the
+ axes specified in the tuple instead of a single axis or all the
+ axes as before.
+ dtype : dtype, optional
+ The type of the returned array, as well as of the accumulator in
+ which the elements are multiplied. Default is numpy.float32.
+ out : ndarray, optional
Review comment:
Also please change the order of the arguments here
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