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]])`
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TType> ConjugateTranspose<T> | |
Output<T> |
y()
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static ConjugateTranspose<T> create (Scope scope, Operand<T> x, Operand<? extends TNumber> perm)
Factory method to create a class wrapping a new ConjugateTranspose operation.
Parameters
scope | current scope |
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Returns
- a new instance of ConjugateTranspose