tensorflow::ops::Stack
#include <array_ops.h>
Packs a list of N
rankR
tensors into one rank(R+1)
tensor.
Summary
Packs the N
tensors in values
into a tensor with rank one higher than each tensor in values
, by packing them along the axis
dimension. Given a list of tensors of shape (A, B, C)
;
if axis == 0
then the output
tensor will have the shape (N, A, B, C)
. if axis == 1
then the output
tensor will have the shape (A, N, B, C)
. Etc.
For example:
```prettyprint 'x' is [1, 4]
'y' is [2, 5]
'z' is [3, 6]
pack([x, y, z]) => [[1, 4], [2, 5], [3, 6]] # Pack along first dim. pack([x, y, z], axis=1) => [[1, 2, 3], [4, 5, 6]] ```
This is the opposite of unpack
.
Arguments:
 scope: A Scope object
 values: Must be of same shape and type.
Optional attributes (see Attrs
):
 axis: Dimension along which to pack. Negative values wrap around, so the valid range is
[(R+1), R+1)
.
Returns:
Output
: The packed tensor.
Constructors and Destructors 


Stack(const ::tensorflow::Scope & scope, ::tensorflow::InputList values)


Stack(const ::tensorflow::Scope & scope, ::tensorflow::InputList values, const Stack::Attrs & attrs)

Public attributes 


output

Public functions 


node() const

::tensorflow::Node *

operator::tensorflow::Input() const


operator::tensorflow::Output() const


Public static functions 


Axis(int64 x)

Structs 


tensorflow:: 
Optional attribute setters for Stack. 
Public attributes
output
::tensorflow::Output output
Public functions
Stack
Stack( const ::tensorflow::Scope & scope, ::tensorflow::InputList values )
Stack
Stack( const ::tensorflow::Scope & scope, ::tensorflow::InputList values, const Stack::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const