reminisce commented on a change in pull request #15370: [numpy][doc-fix] mean,
transpose, stack, split, log2, rint and radians
URL: https://github.com/apache/incubator-mxnet/pull/15370#discussion_r298007619
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File path: python/mxnet/_numpy_op_doc.py
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@@ -173,3 +173,112 @@ def _np_cumsum(a, axis=None, dtype=None, out=None):
`axis` is not None or `a` is a 1-d array.
"""
pass
+
+
+def _np_mean(a, axis=None, dtype=None, out=None, keepdims=None):
+ """
+ Compute the arithmetic mean along the specified axis.
+ Returns the average of the array elements.
+ The average is taken over the flattened array by default, otherwise over
the specified axis.
+
+ Parameters
+ ----------
+ a : `NDArray`
+ NDArray containing numbers whose mean is desired.
+ axis : None or int or tuple of ints, optional
+ Axis or axes along which the means are computed. The default is to
compute the mean of the flattened array.
+ If this is a tuple of ints, a mean is performed over multiple axes,
+ instead of a single axis or all the axes as before.
+ dtype : data-type, optional
+ Type to use in computing the mean. For integer inputs, the default is
float32;
+ for floating point inputs, it is the same as the input dtype.
+ keepdims : bool, optional
+ If this is set to True, the axes which are reduced are left in the
result
+ as dimensions with size one. With this option, the result will
broadcast correctly
+ against the input array.
+ If the default value is passed, then keepdims will not be passed
through to the mean
+ method of sub-classes of ndarray, however any non-default value will
be. If the sub-class
+ method does not implement keepdims any exceptions will be raised.
+ initial : scalar, deprecated
+ The initial value to start with. Default to None.
+ out : ndarray, optional
+ Alternate output array in which to place the result. The default is
None; if provided,
+ it must have the same shape as the expected output, but the type will
be cast if necessary.
+ name : string, optional
+ Name of the resulting symbol
+
+ Returns
+ -------
+ m : ndarray, see dtype parameter above
+ If out=None, returns a new array containing the mean values,
+ otherwise a reference to the output array is returned.
+
+ Notes
+ -----
+ This function differs from the original `numpy.mean
+ <https://docs.scipy.org/doc/numpy/reference/generated/numpy.mean.html>`_ in
+ the following way(s):
+
+ - only NDArray is accepted as valid input, python iterables are not
supported
+ - default data type for integer input is float32
+
+ Examples
+ --------
+ >>> a = np.array([[1, 2], [3, 4]])
+ >>> np.mean(a)
+ array(2.5, dtype=float32)
+ >>> a = np.zeros((2, 512*512), dtype=np.float32)
+ >>> a[0,:] = 1.0
+ >>> a[1,:] = 0.1
+ >>> np.mean(a)
+ array(0.55, dtype=float32)
+ >>> np.mean(a, dtype=np.float64)
+ array(0.55)
+ """
+ pass
+
+
+def _np_transpose(a, axes=None):
+ """
+ Permute the dimensions of an array.
+
+ Parameters
+ ----------
+ a : NDArray
+ Input array.
+ axes : list of ints, optional
+ By default, reverse the dimensions,
+ otherwise permute the axes according to the values given.
+ out : ndarray, optional
+ Alternate output array in which to place the result. The default is
None; if provided,
+ it must have the same shape as the expected output, but the type will
be cast if necessary.
+ name : string, optional
+ Name of the resulting symbol
+
+ Returns
+ -------
+ p : ndarray
+ a with its axes permuted. A view is returned whenever possible.
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