reminisce commented on a change in pull request #15377: [numpy][doc-fix]
zeros_like, linspace, reciprocal, square, and arcsin
URL: https://github.com/apache/incubator-mxnet/pull/15377#discussion_r298006239
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -882,3 +925,168 @@ def sqrt(x, out=None, **kwargs):
This function only supports input type of float.
"""
return _unary_func_helper(x, _npi.sqrt, _np.sqrt, out=out, **kwargs)
+
+
+@set_module('mxnet.ndarray.numpy')
+def reciprocal(x, out=None, **kwargs):
+ """
+ reciprocal(x, out=None, dtype=None)
+
+ Return the reciprocal of the argument, element-wise.
+ Calculates ``1/x``.
+
+ Parameters
+ ----------
+ x : ndarray
+ out : ndarray, None, or tuple of ndarray and None, optional
+ A location into which the result is stored. If provided, it must have
+ a shape that the inputs broadcast to. If not provided or None,
+ a freshly-allocated array is returned. A tuple
+ (possible only as a keyword argument) must have length equal to
+ the number of outputs.
+
+ Returns
+ -------
+ y : ndarray
+ Return array.
+
+
+ Examples
+ --------
+ >>> np.reciprocal(2.)
+ 0.5
+ >>> np.reciprocal([1, 2., 3.33])
+ array([ 1. , 0.5 , 0.3003003])
+
+ Notes
+ -----
+
+ .. note::
+ This function is not designed to work with integers.
+ For integer arguments with absolute value larger than 1 the result is
+ always zero because of the way Python handles integer division. For
+ integer zero the result is an overflow.
+
+ `ctx` argument is not supported now.
Review comment:
No need to add this line.
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