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# Licensed to the Apache Software Foundation (ASF) under one
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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
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# pylint: disable=invalid-name,consider-using-enumerate,unused-argument,len-as-condition
"""Elementwise operators"""
from __future__ import absolute_import as _abs
from . import cpp
def elemwise_sum(xs):
"""Perform element-wise sum on inputs
Parameters
----------
xs : list of tvm.te.Tensor
Input arguments.
Returns
-------
y : tvm.te.Tensor
The result.
"""
return cpp.elemwise_sum(xs)
def full(shape, dtype, fill_value):
"""Fill tensor with fill_value
Parameters
----------
shape : tuple
Input tensor shape.
dtype : str
Data type
fill_value : float
Value to be filled
Returns
-------
y : tvm.te.Tensor
The result.
"""
return cpp.full(shape, dtype, fill_value)
def full_like(x, fill_value):
"""Construct a tensor with same shape as input tensor,
then fill tensor with fill_value.
Parameters
----------
x : tvm.te.Tensor
Input argument.
fill_value : float
Value to be filled
Returns
-------
y : tvm.te.Tensor
The result.
"""
return cpp.full_like(x, fill_value)