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- # Copyright 2020 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.
- # ============================================================================
- """Test network script of LeNet for ST test case data."""
- import torch.nn as nn
- import torch.nn.functional as F
-
-
- class TestLeNet(nn.Module):
- """TestLeNet network."""
- def __init__(self):
- self.conv1 = nn.Conv2d(3, 6, 5)
- self.conv2 = nn.Conv2d(6, 16, 5)
- self.fc1 = nn.Linear(16 * 5 * 5, 120)
- self.fc2 = nn.Linear(120, 84)
- self.fc3 = nn.Linear(84, 10)
-
- def forward(self, input_x):
- """Callback method."""
- out = F.relu(self.conv1(input_x))
- out = F.max_pool2d(out, 2)
- out = F.relu(self.conv2(out))
- out = F.max_pool2d(out, 2)
- out = out.view(out.size(0), -1)
- out = F.relu(self.fc1(out))
- out = F.relu(self.fc2(out))
- out = self.fc3(out)
- return out
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