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usual torch default importing
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import torch | |
import torch.nn as nn | |
import torch.nn.functional as F | |
class Model(nn.Module): | |
def __init__(self): | |
super(Model, self).__init__() | |
self.conv1 = nn.Conv2d(1, 20, 5) | |
self.conv2 = nn.Conv2d(20, 20, 5) | |
def forward(self, x): | |
x = F.relu(self.conv1(x)) | |
return F.relu(self.conv2(x)) |
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