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# Licensed under the Apache License, Version 2.0 (the "License");
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# http://www.apache.org/licenses/LICENSE-2.0
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"""
var op implementation
"""
from aitemplate.compiler.ops.reduce.reduce_common import reduce_base
# pylint: disable=C0103
[docs]class var(reduce_base):
"""
Calculates the variance of all elements in the input tensor.
* .attr.:`dim` : int or tuple of python:ints
the dimension or dimensions to reduce
* .attr.:`unbiased` : bool
specifying whether to use Bessel’s correction or not
* .attr.:`keepdim` : bool, optional
keep the reduced dimensions if True, default is False
* .attr.:`dtype` : str, optional
the type of the return tensor. If it is not None,
the input tensor is cast to dtype before reduction.
Args:
input (Tensor): the input tensor.
Return:
Tensor.
"""
def __init__(self, dim, unbiased, keepdim=False, dtype=None) -> None:
"""initialization routine of var op"""
super().__init__(dim, keepdim, dtype)
self._attrs["op"] = "var"
self._attrs["unbiased"] = unbiased
def _get_op_attributes(self):
return {
"dim": self._attrs["reduction_axes"],
"dtype": self._attrs["output_type"],
"keepdim": self._attrs["keepdim"],
"unbiased": self._attrs["unbiased"],
}