tingying2020 commented on a change in pull request #15387: Add docs for 7 ops
URL: https://github.com/apache/incubator-mxnet/pull/15387#discussion_r298916493
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -382,26 +381,41 @@ def multiply(x1, x2, out=None):
@set_module('mxnet.ndarray.numpy')
def divide(x1, x2, out=None):
- """Returns a true division of the inputs, element-wise.
- Parameters
- ----------
- x1 : ndarray or scalar
- Dividend array.
+ """
+ Returns a true division of the inputs, element-wise.
+ Instead of the Python traditional ‘floor division’,
+ this returns a true division. True division adjusts
+ the output type to present the best answer, regardless
+ of input types.
- x2 : ndarray or scalar
- Divisor array.
+ Parameters:
+ ----------
+ x1 : array_like
+ Dividend array.
+ x2 : array_like
+ Divisor array.
+ 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.
+ where : array_like, optional
+ Values of True indicate to calculate the ufunc at that position,
+ values of False indicate to leave the value in the output alone.
+
+ Returns:
+ --------
+ y : ndarray
+ Result is scalar if both inputs are scalar, ndarray otherwise.
- out : ndarray
- 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.
+ Examples:
- Returns
- -------
- out : ndarray or scalar
- This is a scalar if both x1 and x2 are scalars.
+ >>> x = np.arange(5)
+ >>> np.true_divide(x, 4)
Review comment:
AttributeError: module 'mxnet.numpy' has no attribute 'true_divide'. You'd
better double check it.
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