tingying2020 commented on a change in pull request #15387: Add docs for 7 ops
URL: https://github.com/apache/incubator-mxnet/pull/15387#discussion_r298920220
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File path: python/mxnet/numpy/multiarray.py
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@@ -2057,3 +2035,128 @@ def sqrt(x, out=None, **kwargs):
This function only supports input type of float.
"""
return _mx_nd_np.sqrt(x, out=out, **kwargs)
+
+@set_module('mxnet.numpy')
+def arctanh(x, out=None, where=True, **kwargs):
+ r"""
+ arctanh(x, out=None, where=True)
+
+ Inverse hyperbolic tangent element-wise.
+
+ Parameters:
+
+ -----------
+ x : ndarray
+ Input array.
+ out : ndarray, None, or tuple of ndarray and None.
+ 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 : ndarray, 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:
+ --------
+ out : ndarray or scalar
+ ndarray of the same shape as x. This is a scalar if x is a scalar.
+ Examples
+
+ >>> np.arctan(0.7)
+ 0.8673005276940531
+ """
+
+ return _mx_nd_np.arctanh(x, out=out, **kwargs)
+
+@set_module('mxnet.numpy')
+def tan(x, out=None, where=True, **kwargs):
+ r"""
+ tan(x, out=None, where=True)
+
+ Compute tangent element-wise.
+ Equivalent to np.sin(x)/np.cos(x) element-wise.
+
+ Parameters:
+ ----------
+ x : ndarray
+ Input array.
+ out : ndarray or 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 : ndarray, 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
+ The corresponding tangent values. This is a scalar if x is a scalar.
+
+ Examples:
+ ---------
+ >>> np.tan(0.5)
+ 0.5463024898437905
+ """
+
+ return _mx_nd_np.tan(x, out=out, **kwargs)
+
+@set_module('mxnet.numpy')
+def fix(x, out=None):
+ """
+ Round an array of floats element-wise to nearest integer towards zero.
+ The rounded values are returned as floats.
+
+ Parameters:
+ ----------
+ x : ndarray
+ An array of floats to be rounded
+ out : ndarray, optional
+ Output array
+
+ Returns:
+ -------
+ y : ndarray of floats
+
+ Examples
+ ---------
+ >>> np.fix(3.14)
+ 3
+ """
+ return _mx_nd_np.fix(x, out=out)
+
+@set_module('mxnet.numpy')
+def negative(x, out=None, where=True, **kwargs):
+ r"""
+ negative(x, out=None, where=True)
+
+ Numerical negative, element-wise.
+
+ Parameters:
+
+ ------------
+ x : ndarray or scalar
+ Input 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 : ndarray, optional
Review comment:
Please check whether `where` works.
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