tensorflow::
#include <array_ops.h>
Returns the diagonal part of the tensor.
Summary
This operation returns a tensor with the diagonal part of the input. The diagonal part is computed as follows:
Assume input has dimensions [D1,..., Dk, D1,..., Dk], then the output is a tensor of rank k with dimensions [D1,..., Dk] where:
diagonal[i1,..., ik] = input[i1, ..., ik, i1,..., ik].
For example:
# 'input' is [[1, 0, 0, 0]
              [0, 2, 0, 0]
              [0, 0, 3, 0]
              [0, 0, 0, 4]]
tf.diag_part(input) ==> [1, 2, 3, 4]
Args:
- scope: A Scope object
- input: Rank k tensor where k is even and not zero.
Returns:
- Output: The extracted diagonal.
| Constructors and Destructors | |
|---|---|
| DiagPart(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
DiagPart
DiagPart( 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