mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# 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.
|
|
from typing import Optional, Tuple
|
|
|
|
from ..functional import avg_pool2d
|
|
from ..module import Module
|
|
|
|
|
|
class AvgPool2d(Module):
|
|
|
|
def __init__(self,
|
|
kernel_size: Tuple[int],
|
|
stride: Optional[Tuple[int]] = None,
|
|
padding: Optional[Tuple[int]] = (0, 0),
|
|
ceil_mode: bool = False,
|
|
count_include_pad: bool = True) -> None:
|
|
super().__init__()
|
|
self.kernel_szie = kernel_size
|
|
self.stride = stride
|
|
self.padding = padding
|
|
self.ceil_mode = ceil_mode
|
|
self.count_include_pad = count_include_pad
|
|
|
|
def forward(self, input):
|
|
return avg_pool2d(input, self.kernel_szie, self.stride, self.padding,
|
|
self.ceil_mode, self.count_include_pad)
|