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model.py
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import torch.nn as nn
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class CustomCNN(nn.Module):
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def __init__(self):
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super(CustomCNN, self).__init__()
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self.conv1 = nn.Conv2d(3, 16, 3, padding=1)
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self.pool = nn.MaxPool2d(2, 2)
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self.conv2 = nn.Conv2d(16, 32, 3, padding=1)
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self.fc1 = nn.Linear(32 * 8 * 8, 128)
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self.fc2 = nn.Linear(128, 10)
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def forward(self, x):
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x = self.pool(nn.functional.relu(self.conv1(x)))
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x = self.pool(nn.functional.relu(self.conv2(x)))
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x = x.view(-1, 32 * 8 * 8)
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x = nn.functional.relu(self.fc1(x))
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x = self.fc2(x)
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return x
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