copied from pytorch doc: a = torch.ones(5) print(a). tensor([1., 1., 1., 1., 1.]) b = a.numpy() print(b). [1. 1. 1. 1. 1.] ... ... <看更多>

Bug I compared the execution time of two codes. Code 1: import torch import numpy as np a = [np.random.randint(0, 10, size=(7, 7, ... ... <看更多>

or you could stack them in numpy and then convert the array to a tensor, to do so using numpy np.stack inputting a list and axis. ... <看更多>

... <看更多>