tensorflow::ops::Diag

#include <array_ops.h>

Returns a diagonal tensor with a given diagonal values.

Summary

Given a diagonal, this operation returns a tensor with the diagonal and everything else padded with zeros. The diagonal is computed as follows:

Assume diagonal has dimensions [D1,..., Dk], then the output is a tensor of rank 2k with dimensions [D1,..., Dk, D1,..., Dk] where:

output[i1,..., ik, i1,..., ik] = diagonal[i1, ..., ik] and 0 everywhere else.

For example:

# 'diagonal' is [1, 2, 3, 4]
tf.diag(diagonal) ==> [[1, 0, 0, 0]
                       [0, 2, 0, 0]
                       [0, 0, 3, 0]
                       [0, 0, 0, 4]]

Arguments:

  • scope: A Scope object
  • diagonal: Rank k tensor where k is at most 1.

Returns:

Constructors and Destructors
Diag(const ::tensorflow::Scope & scope, ::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

Diag

 Diag(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input diagonal
)

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const