I have a simple question regarding the shape of tensor we define in PyTorch. Let's say if I say: input = torch.randn(32, 35) This will create a matrix with 32 row and 35 columns. Now when I define: input2 = torch.randn(1,2,32, 35) What can I say about the dimension of the new matrix input2? How can I define the rows and columns here? I mean do I have two matrices with shapes 32*35 packed by the tensor? I want to better understand the geometry behind this. Thanks. Continue reading...
