introduction to pytorch in [ ] shape out[ ]torch size([ ]it is important to note how (the order in which the elements are placedthe view method reshapes the tensor listing - demonstrates verifying the size of tensor after reshaping with the 'viewmethod listing - verifying the size of tensor after reshaping with view in [ ] torch arange( , in [ ] out[ ]tensor([ ]in [ ] shape out[ ]torch size([ ]in [ ] view( , in [ ] out[ ]tensor([[ ][ ][ ]]in [ ] shape out[ ]torch size([ ]the cat operation allows you to concatenate list of tensors along given dimension note that the cat operation takes two parametersthe list of tensors to concatenate and the dimension along which to perform this operation listing - explores the concatenation of two tensors