torch transpose

a = torch.randn(2,3,4)
print(a)
>>>
tensor([[[-1.8377,  0.7000,  0.4378, -0.0805],
         [ 0.4081,  0.9317, -0.1416,  0.3171],
         [-0.3136, -0.2353,  0.6491,  1.9069]],

        [[-0.7775, -0.7211,  1.5763, -1.0702],
         [-0.3504,  0.8695, -0.5245, -0.9854],
         [-0.8162,  0.4495, -0.8055, -0.6394]]])
a.transpose(1,0)
>>>
tensor([[[-1.8377,  0.7000,  0.4378, -0.0805],
         [-0.7775, -0.7211,  1.5763, -1.0702]],

        [[ 0.4081,  0.9317, -0.1416,  0.3171],
         [-0.3504,  0.8695, -0.5245, -0.9854]],

        [[-0.3136, -0.2353,  0.6491,  1.9069],
         [-0.8162,  0.4495, -0.8055, -0.6394]]])           

transpose函数的作用在于改变矩阵的维度，里边两个参数是指定要去交换的维度。a本来是(2,3,4)的维度，交换了第1和第2维度的值之后，就成了(3,2,4)的形状。