Hi,
I’m using PyTorch to implement a CNN model for collaborative filtering but I got an error like this:
Given groups=1, weight of size 1 64 9 9, expected input[1, 1, 16, 16] to have 64 channels, but got 1 channels instead .
Input for the model is a tensor having torch.Size([1, 1, 256, 64])
Code for the CNN:
CNN_modules = []
CNN_modules.append(nn.Conv2d(1, 64, (225, 33)))
CNN_modules.append(nn.ReLU())	
CNN_modules.append(nn.Conv2d(64, 1, (17, 17)))
CNN_modules.append(nn.ReLU())
CNN_modules.append(nn.Conv2d(64, 1, (9, 9)))
CNN_modules.append(nn.ReLU())
CNN_modules.append(nn.Conv2d(64, 1, (5, 5)))
CNN_modules.append(nn.ReLU())
CNN_modules.append(nn.Conv2d(64, 1, (3, 3)))
CNN_modules.append(nn.ReLU())
CNN_modules.append(nn.Conv2d(64, 1, (1, 1)))
CNN_modules.append(nn.ReLU())

I want to keep 64 features for all hidden conv layers. I think the error may come from the data because this tensor is not a grayscale image. Can anybody help me to solve the problem? Thank you so soo much !!!
This is data of the input tensor:

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