Help protect the Great Barrier Reef with TensorFlow on Kaggle

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

## 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 Must be of same shape and type. carries optional attributes values
##### Returns
• a new instance of Stack

#### public Output<T> output()

The packed tensor.

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