PyTorch Tensor Reshaping with view() - Explained

This line of code is reshaping the tensor 'x' using the 'view()' function. The 'view()' function is used to change the shape of a tensor without changing its data.

In this specific line, 'x.size(0)' returns the size of the first dimension of 'x', while '-1' is used to infer the size of the second dimension based on the original shape of 'x'.

By calling 'x.view(x.size(0), -1)', the tensor 'x' is reshaped into a 2-dimensional tensor, where the first dimension remains the same and the second dimension is inferred based on the original shape of 'x'.