tf.transpose(a, perm=None, name='transpose')
Transposes a. Permutes the dimensions according to perm.
The returned tensor's dimension i will correspond to the input dimension perm[i]. If perm is not given, it is set to (n-1...0), where n is the rank of the input tensor. Hence by default, this operation performs a regular matrix transpose on 2-D input Tensors.
For example:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # 'x' is [[1 2 3]# [4 5 6]]tf.transpose(x) ==> [[1 4] [2 5] [3 6]]# Equivalentlytf.transpose(x, perm=[1, 0]) ==> [[1 4] [2 5] [3 6]]# 'perm' is more useful for n-dimensional tensors, for n > 2# 'x' is [[[1 2 3]# [4 5 6]]# [[7 8 9]# [10 11 12]]]# Take the transpose of the matrices in dimension-0tf.transpose(x, perm=[0, 2, 1]) ==> [[[1 4] [2 5] [3 6]] [[7 10] [8 11] [9 12]]] |
Args:
-
a: ATensor. -
perm: A permutation of the dimensions ofa. -
name: A name for the operation (optional).
Returns:
A transposed Tensor.
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