Hello everyone
I am trying to train my 1d conv autoencoder. In part of training the NN,I faced with the below error:
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“Using a target size (torch.Size([2048, 1, 94])) that is different to the input size (torch.Size([2048, 1, 93])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
return F.mse_loss(input, target, reduction=self.reduction)”
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I am  quite sure that my input tensor has the right size. because just before running the training loop, when ever I checked the size of that it gave me the right answer.
My input size is (2040,1,94) which 2040 is batch number in every singel training, 1 is the input channel size and 94 is length of my signal.
below is my training codes:
#training loop
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for epoch in range(num_epochs):
for data in dataloader:
img = data
    # ===================forward=====================
    output = model(img)
    loss = criterion(output, img)
    # ===================backward====================
    optimizer.zero_grad()
    loss.backward()
    optimizer.step()

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