#include <array_ops.h>
Shuffle dimensions of x according to a permutation and conjugate the result.
The output y
has the same rank as x
. The shapes of x
and y
satisfy: y.shape[i] == x.shape[perm[i]] for i in [0, 1, ..., rank(x) - 1]
y[i,j,k,...,s,t,u] == conj(x[perm[i], perm[j], perm[k],...,perm[s], perm[t], perm[u]])
Arguments:
Returns:
Output
: The y tensor. Constructors and Destructors | |
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ConjugateTranspose(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input perm) |
Public attributes | |
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y |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
::tensorflow::Output y
ConjugateTranspose( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input perm )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/conjugate-transpose.html