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