haojin2 commented on a change in pull request #15388: Doc
URL: https://github.com/apache/incubator-mxnet/pull/15388#discussion_r299003566
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File path: python/mxnet/symbol/numpy/_symbol.py
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@@ -1409,6 +1421,113 @@ def _unary_func_helper(x, fn_array, fn_scalar,
out=None, **kwargs):
@set_module('mxnet.symbol.numpy')
+def trunc(x, out=None, **kwargs):
+ r"""
+ trunc(x, out=None)
+
+ Return the truncated value of the input, element-wise.
+
+ The truncated value of the scalar `x` is the nearest integer `i` which
+ is closer to zero than `x` is. In short, the fractional part of the
+ signed number `x` is discarded.
+
+ Parameters
+ ----------
+ x : _Symbol or scalar
+ Input data.
+ out : _Symbol or None, optional
+ Dummy parameter to keep the consistency with the ndarray counterpart.
+
+ Returns
+ -------
+ y : _Symbol or scalar
+ The truncated value of each element in `x`.
+ This is a scalar if `x` is a scalar.
+
+ Notes
+ -----
+ This function differs from the original numpy.trunc in the following
aspects:
+ - Do not support `where`, a parameter in numpy which indicates where
to calculate.
+ - Cannot cast type automatically. Dtype of `out` must be same as the
expected one.
+ - Cannot broadcast automatically. Shape of `out` must be same as the
expected one.
+ - If `x` is plain python numeric, the result won't be stored in out.
+ """
+ return _unary_func_helper(x, _npi.trunc, _np.trunc, out=out, **kwargs)
+
+
+@set_module('mxnet.symbol.numpy')
+def logical_not(x, out=None, **kwargs):
+ r"""
+ logical_not(x, out=None)
+
+ Compute the truth value of NOT x element-wise.
+
+ Parameters
+ ----------
+ x : _Symbol or scalar
+ Logical NOT is applied to the elements of `x`.
+ out : _Symbol or None, optional
+ Dummy parameter to keep the consistency with the ndarray counterpart.
+
+ Returns
+ -------
+ y : bool or _Symbol
+ Boolean result with the same shape as `x` of the NOT operation
+ on elements of `x`.
+ This is a scalar if `x` is a scalar.
+
+ Notes
+ -----
+ This function differs from the original numpy.logical_not in the following
aspects:
+ - Do not support `where`, a parameter in numpy which indicates where
to calculate.
+ - Cannot cast type automatically. Dtype of `out` must be same as the
expected one.
+ - Cannot broadcast automatically. Shape of `out` must be same as the
expected one.
+ - If `x` is plain python numeric, the result won't be stored in out.
+ """
+ return _unary_func_helper(x, _npi.logical_not, _np.logical_not, out=out,
**kwargs)
+
+
+@set_module('mxnet.symbol.numpy')
+def arccosh(x, out=None, **kwargs):
+ r"""
+ arccosh(x, out=None)
+
+ Inverse hyperbolic cosine, element-wise.
+
+ Parameters
+ ----------
+ x : _Symbol or scalar
+ Input array.
+ out : _Symbol or None, optional
+ Dummy parameter to keep the consistency with the ndarray counterpart.
+
+ Returns
+ -------
+ arccosh : _Symbol
+ Array of the same shape as `x`.
+ This is a scalar if `x` is a scalar.
+
+ Notes
+ -----
+ `arccosh` is a multivalued function: for each `x` there are infinitely
+ many numbers `z` such that `cosh(z) = x`. The convention is to return the
+ `z` whose imaginary part lies in `[-pi, pi]` and the real part in
+ ``[0, inf]``.
Review comment:
Since we do not support complex numbers in any of the operators, just remove
the parts related to complex numbers or imaginary part. Please also check for
all other operators.
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