#include <array_ops.h>
Returns the rank of a tensor.
This operation returns an integer representing the rank of input
.
For example:
``` 't' is [[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]
shape of tensor 't' is [2, 2, 3]
rank(t) ==> 3 ```
Note: The rank of a tensor is not the same as the rank of a matrix. The rank of a tensor is the number of indices required to uniquely select each element of the tensor. Rank is also known as "order", "degree", or "ndims."
Arguments:
Returns:
Output
: The output tensor. Constructors and Destructors | |
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Rank(const ::tensorflow::Scope & scope, ::tensorflow::Input input) |
Public attributes | |
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output |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
::tensorflow::Output output
Rank( 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/rank.html