# tensorflow::ops::MatrixDiag

#include <array_ops.h>

Returns a batched diagonal tensor with a given batched 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 k dimensions [I, J, K, ..., N], then the output is a tensor of rank k+1 with dimensions [I, J, K, ..., N, N]` where:

output[i, j, k, ..., m, n] = 1{m=n} * diagonal[i, j, k, ..., n].

For example:

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

and diagonal.shape = (2, 4)

tf.matrix_diag(diagonal) ==> [[[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]]]

which has shape (2, 4, 4)

Args:

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

Returns:

• Output: Rank k+1, with output.shape = diagonal.shape + [diagonal.shape[-1]].

### Constructors and Destructors

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

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

### MatrixDiag

MatrixDiag(
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
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