class Net(Module):

def **init**(self):

super(Net, self).**init**()

```
self.cnn = Sequential(
Conv2d(in_channels=1, out_channels=4, kernel_size=3, stride=1),
ReLU(inplace=True),
MaxPool2d(kernel_size=3, stride=1),
Conv2d(in_channels=4, out_channels=4, kernel_size=3, stride=1),
ReLU(inplace=True),
MaxPool2d(kernel_size=3, stride=1),
Linear(in_features=1000, out_features=500),
ReLU(inplace=True),
Linear(in_features=500, out_features=250),
ReLU(inplace=True),
Linear(in_features=250, out_features=4)
)
def forward(self, x):
x = self.cnn(x)
x = x.view(x.size(0), -1)
return x
```

Please tell me what is wrong, I don’t get it.

Error is: RuntimeError: Given groups=1, weight of size [4, 1, 3, 3], expected input[2190, 64, 64, 3] to have 1 channels, but got 64 channels instead