PyTorch: Concatenate Tensors Along Second Dimension with torch.cat()

torch.cat([x1,x2], dim=1) concatenates two tensors x1 and x2 along the second dimension (dim=1). This means that the tensors are joined side-by-side, resulting in a new tensor with the same number of rows as x1 and x2, but with the columns of both tensors combined. This is a common operation in deep learning and machine learning, where you may need to combine different features or input data.