Convert a list of numpy array to torch tensor list
The numpy arrays in the list are 2D array that have different sizes, let's say:
1x1, 4x4, 8x8, etc
about 7 arrays in total.
I know how to convert each on of them, by:
torch.from_numpy(a1by1).type(torch.FloatTensor)
torch.from_numpy(a4by4).type(torch.FloatTensor)
etc..

Is there a way to convert the entire list in one command?
I found these 2 question:
How to convert a list or numpy array to a 1d torch tensor?

How to convert a list of tensors into a torch::Tensor?

but it's not what Im' looking for

If by one command you mean one-liner then
Here, We can use list-comprehension
lst = [a1by1, a4by4, a8by8]
lst = [torch.from_numpy(item).float() for item in lst]

