tensorflow:: ops:: ConjugateTranspose
#include <array_ops.h>
Shuffle dimensions of x according to a permutation and conjugate the result.
Summary
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:
- scope: A Scope object
Returns:
Output
: The y tensor.
Constructors and Destructors |
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ConjugateTranspose(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input perm)
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Public attributes |
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operation
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y
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public attributes
operation
Operation operation
y
::tensorflow::Output y
Public functions
ConjugateTranspose
ConjugateTranspose( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input perm )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const