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- # Copyright 2021 Huawei Technologies Co., Ltd
- #
- # 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 mindspore.nn as nn
-
- class SRCNN(nn.Cell):
- def __init__(self, num_channels=1):
- super(SRCNN, self).__init__()
- self.conv1 = nn.Conv2d(num_channels, 64, kernel_size=9, padding=9 // 2, pad_mode='pad')
- self.conv2 = nn.Conv2d(64, 32, kernel_size=5, padding=5 // 2, pad_mode='pad')
- self.conv3 = nn.Conv2d(32, num_channels, kernel_size=5, padding=5 // 2, pad_mode='pad')
- self.relu = nn.ReLU()
-
- def construct(self, x):
- x = self.relu(self.conv1(x))
- x = self.relu(self.conv2(x))
- x = self.conv3(x)
- return x
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