tensorflow:: ops:: MatrixDiagPart

#include <array_ops.h>

Returns the batched diagonal part of a batched tensor.

Summary

This operation returns a tensor with the diagonal part of the batched input . The diagonal part is computed as follows:

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

diagonal[i, j, k, ..., n] = input[i, j, k, ..., n, n] .

The input must be at least a matrix.

For example: 

# 'input' is [[[1, 0, 0, 0]
               [0, 2, 0, 0]
               [0, 0, 3, 0]
               [0, 0, 0, 4]],
              [[5, 0, 0, 0]
               [0, 6, 0, 0]
               [0, 0, 7, 0]
               [0, 0, 0, 8]]]

and input.shape = (2, 4, 4)

tf.matrix_diag_part(input) ==> [[1, 2, 3, 4], [5, 6, 7, 8]]

which has shape (2, 4)

Args:

  • scope: A Scope object
  • input: Rank k tensor where k >= 2 .

Returns:

  • Output : The extracted diagonal(s) having shape diagonal.shape = input.shape[:-2] + [min(input.shape[-2:])] .

Constructors and Destructors

MatrixDiagPart (const :: tensorflow::Scope & scope, :: tensorflow::Input input)

Public attributes

diagonal
operation

Public functions

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

Public attributes

diagonal 

::tensorflow::Output diagonal

operation 

Operation operation

Public functions

MatrixDiagPart 

 MatrixDiagPart(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input
)

node 

::tensorflow::Node * node() const

operator::tensorflow::Input 

 operator::tensorflow::Input() const

operator::tensorflow::Output 

 operator::tensorflow::Output() const