You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 

64 lines
1.9 KiB

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
import paddle
import paddle.nn as nn
import paddle.nn.functional as F
def SyncBatchNorm(*args, **kwargs):
"""In cpu environment nn.SyncBatchNorm does not have kernel so use nn.BatchNorm instead"""
if paddle.get_device() == 'cpu':
return nn.BatchNorm(*args, **kwargs)
else:
return nn.SyncBatchNorm(*args, **kwargs)
class ConvBNReLU(nn.Layer):
def __init__(self,
in_channels,
out_channels,
kernel_size,
padding='same',
**kwargs):
super().__init__()
self._conv = nn.Conv2D(
in_channels, out_channels, kernel_size, padding=padding, **kwargs)
self._batch_norm = SyncBatchNorm(out_channels)
def forward(self, x):
x = self._conv(x)
x = self._batch_norm(x)
x = F.relu(x)
return x
class ConvBN(nn.Layer):
def __init__(self,
in_channels,
out_channels,
kernel_size,
padding='same',
**kwargs):
super().__init__()
self._conv = nn.Conv2D(
in_channels, out_channels, kernel_size, padding=padding, **kwargs)
self._batch_norm = SyncBatchNorm(out_channels)
def forward(self, x):
x = self._conv(x)
x = self._batch_norm(x)
return x