tensorflow:: ops:: Rank
#include <array_ops.h>
Returns the rank of a tensor.
Summary
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:
- scope: A Scope object
Returns:
Output: The output tensor.
Constructors and Destructors |
|
|---|---|
Rank(const ::tensorflow::Scope & scope, ::tensorflow::Input input)
|
Public attributes |
|
|---|---|
output
|
|
Public functions |
|
|---|---|
node() const
|
::tensorflow::Node *
|
operator::tensorflow::Input() const
|
|
operator::tensorflow::Output() const
|
|
Public attributes
output
::tensorflow::Output output
Public functions
Rank
Rank( 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
