tensorflow:: ops:: MatrixSetDiag

#include <array_ops.h>

Returns a batched matrix tensor with new batched diagonal values.

Summary

Given input and diagonal , this operation returns a tensor with the same shape and values as input , except for the main diagonal of the innermost matrices. These will be overwritten by the values in diagonal .

The output is computed as follows:

Assume input has k+1 dimensions [I, J, K, ..., M, N] and diagonal has k dimensions [I, J, K, ..., min(M, N)] . Then the output is a tensor of rank k+1 with dimensions [I, J, K, ..., M, N] where:

  • output[i, j, k, ..., m, n] = diagonal[i, j, k, ..., n] for m == n .
  • output[i, j, k, ..., m, n] = input[i, j, k, ..., m, n] for m != n .

Args:

  • scope: A Scope object
  • input: Rank k+1 , where k >= 1 .
  • diagonal: Rank k , where k >= 1 .

Returns:

  • Output : Rank k+1 , with output.shape = input.shape .

Constructors and Destructors

MatrixSetDiag (const :: tensorflow::Scope & scope, :: tensorflow::Input input, :: tensorflow::Input diagonal)

Public attributes

operation
output

Public functions

node () const
::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Public attributes

operation 

Operation operation

output 

::tensorflow::Output output

Public functions

MatrixSetDiag 

 MatrixSetDiag(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input diagonal
)

node 

::tensorflow::Node * node() const

operator::tensorflow::Input 

 operator::tensorflow::Input() const

operator::tensorflow::Output 

 operator::tensorflow::Output() const