#include <array_ops.h>
Returns the diagonal part of the tensor.
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:
```prettyprint '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] ```
Arguments:
Returns:
Output
: The extracted diagonal. Constructors and Destructors | |
---|---|
DiagPart(const ::tensorflow::Scope & scope, ::tensorflow::Input input) |
Public attributes | |
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diagonal |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
::tensorflow::Output diagonal
DiagPart( const ::tensorflow::Scope & scope, ::tensorflow::Input input )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/diag-part.html