size()查看tensor的维度信息、numel()函数查看张量元素个数

1.tensor.size()， 查看张量的维度信息

import torch
a = torch.tensor([[ 0.0349,  0.0670, -0.0612, 0.0280, -0.0222,  0.0422],
         [-1.6719,  0.1242, -0.6488, 0.3313, -1.3965, -0.0682],
         [-1.3419,  0.4485, -0.6589, 0.1420, -0.3260, -0.4795],
         [-0.0658, -0.1490, -0.1684, 0.7188,  0.3129, -0.1116],
         [-0.2098, -0.2980,  0.1126, 0.9666, -0.0178,  0.1222],
         [ 0.1179, -0.4622, -0.2112, 1.1151,  0.1846,  0.4283]])
# 查看tensor的维度信息：torch.Size([6, 6])
print(a.size())

2.numel()函数，查看一个张量有多少元素

numel就是"number of elements"的简写。numel()可以直接返回int类型的元素个数。

import torch
 
a = torch.tensor([[ 0.0349,  0.0670, -0.0612, 0.0280, -0.0222,  0.0422],
         [-1.6719,  0.1242, -0.6488, 0.3313, -1.3965, -0.0682],
         [-1.3419,  0.4485, -0.6589, 0.1420, -0.3260, -0.4795],
         [-0.0658, -0.1490, -0.1684, 0.7188,  0.3129, -0.1116],
         [-0.2098, -0.2980,  0.1126, 0.9666, -0.0178,  0.1222],
         [ 0.1179, -0.4622, -0.2112, 1.1151,  0.1846,  0.4283]])
b = a.numel()
print(type(b)) # int
print(b) # 36