# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# Licensed 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 "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
reduce_min op
"""
from aitemplate.compiler.ops.reduce.reduce_common import reduce_base
# pylint: disable=C0103
[docs]class reduce_min(reduce_base):
"""
Implements the reduce_min op.
* .attr.:`dim` : int or tuple of python:ints
the dimension or dimensions to reduce
* .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 that contains the min of all elements in the input tensor.
"""
def __init__(self, dim, keepdim=False, dtype=None) -> None:
super().__init__(dim, keepdim, dtype)
self._attrs["op"] = "reduce_min"