torch.meshgrid（）

import torch
a = torch.tensor([1, 2, 3, 4])
print(a)
b = torch.tensor([4, 5, 6])
print(b)
x, y = torch.meshgrid(a, b)
print(x)
print(y)
 
结果显示：
tensor([1, 2, 3, 4])
tensor([4, 5, 6])
tensor([[1, 1, 1],
        [2, 2, 2],
        [3, 3, 3],
        [4, 4, 4]])
tensor([[4, 5, 6],
        [4, 5, 6],
        [4, 5, 6],
        [4, 5, 6]])
 
 
 
# 【2】
import torch
a = torch.tensor([1, 2, 3, 4, 5, 6])
print(a)
b = torch.tensor([7, 8, 9, 10])
print(b)
x, y = torch.meshgrid(a, b)
print(x)
print(y)
 
结果显示：
tensor([1, 2, 3, 4, 5, 6])
tensor([ 7,  8,  9, 10])
tensor([[1, 1, 1, 1],
        [2, 2, 2, 2],
        [3, 3, 3, 3],
        [4, 4, 4, 4],
        [5, 5, 5, 5],
        [6, 6, 6, 6]])
tensor([[ 7,  8,  9, 10],
        [ 7,  8,  9, 10],
        [ 7,  8,  9, 10],
        [ 7,  8,  9, 10],
        [ 7,  8,  9, 10],
        [ 7,  8,  9, 10]])

两个矩阵相乘得x_Transpose * y