In Python NumPy transpose() is used to get the permute or reserve the dimension of the input array meaning it converts the row elements into column
# The channel-wise output of each layer is weighted by a set of coefficients, which are initialized to 1 / the total number of dilation scales, # meaning that were starting by taking an elementwise mean. These should be learnable parameters. # NOTES: - I'm considering changing the variabl...