Stack

public final class Stack

Packs a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor.

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: 

# '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`.

Nested Classes

class Stack.Options Optional attributes for Stack  

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static Stack.Options
axis(Long axis)
static <T> Stack<T>
create(Scope scope, Iterable<Operand<T>> values, Options... options)
Factory method to create a class wrapping a new Stack operation.
Output<T>
output()
The packed tensor.

Inherited Methods

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static Stack.Options axis (Long axis)

Parameters
axis Dimension along which to pack. Negative values wrap around, so the valid range is `[-(R+1), R+1)`.

public static Stack<T> create (Scope scope, Iterable<Operand<T>> values, Options... options)

Factory method to create a class wrapping a new Stack operation.

Parameters
scope current scope
values Must be of same shape and type.
options carries optional attributes values
Returns
  • a new instance of Stack

public Output<T> output ()

The packed tensor.