numpy.swapaxes — NumPy v1.22 Manual
numpy.org › generated › numpynumpy.swapaxes(a, axis1, axis2) [source] ¶ Interchange two axes of an array. Parameters aarray_like Input array. axis1int First axis. axis2int Second axis. Returns a_swappedndarray For NumPy >= 1.10.0, if a is an ndarray, then a view of a is returned; otherwise a new array is created.
numpy中transpose和swapaxes函数讲解_ML_BOY的博客-CSDN博客_swapaxes
https://blog.csdn.net/qq1483661204/article/details/7054395223.04.2017 · transpose和swapaxes函数讲解 transpose () 这个函数如果括号内不带参数,就相当于转置,和.T效果一样,而今天主要来讲解其带参数。 我们看如下一个numpy的数组: `arr=np.arange (16).reshape ( (2,2,4)) arr= array ( [ [ [ 0, 1, 2, 3], [ 4, 5, 6, 7]], [ [ 8, 9, 10, 11], [12, 13, 14, 15]]]) ` 那么有:
torch.transpose — PyTorch 1.11.0 documentation
pytorch.org › docs › stabletorch.transpose torch.transpose(input, dim0, dim1) → Tensor Returns a tensor that is a transposed version of input . The given dimensions dim0 and dim1 are swapped. If input is a strided tensor then the resulting out tensor shares its underlying storage with the input tensor, so changing the content of one would change the content of the other.
Swap axes in pytorch? - PyTorch Forums
https://discuss.pytorch.org/t/swap-axes-in-pytorch/97009.03.2017 · fmassa (Francisco Massa) March 9, 2017, 2:37pm #5 @Veril transpose only applies to 2 axis, while permute can be applied to all the axes at the same time. For example a = torch.rand (1,2,3,4) print (a.transpose (0,3).transpose (1,2).size ()) print (a.permute (3,2,1,0).size ()) BTW, permute internally calls transpose a number of times 23 Likes