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| class NetforExplode(nn.Module): | |
| def __init__(self): | |
| super(NetforExplode, self).__init__() | |
| self.conv1 = nn.Conv2d(1, 32, 3, 1) | |
| self.conv1.weight.data.fill_(100) | |
| self.conv1.bias.data.fill_(-100) | |
| self.conv2 = nn.Conv2d(32, 64, 3, 1) | |
| self.conv2.weight.data.fill_(100) | |
| self.conv2.bias.data.fill_(-100) | |
| self.fc1 = nn.Linear(9216, 128) | |
| self.fc1.weight.data.fill_(100) | |
| self.fc1.bias.data.fill_(-100) | |
| self.fc2 = nn.Linear(128, 10) | |
| self.fc2.weight.data.fill_(100) | |
| self.fc2.bias.data.fill_(-100) | |
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