ExpandDims

public final class ExpandDims

Inserts a dimension of 1 into a tensor's shape.

Given a tensor `input`, this operation inserts a dimension of 1 at the dimension index `axis` of `input`'s shape. The dimension index `axis` starts at zero; if you specify a negative number for `axis` it is counted backward from the end.

This operation is useful if you want to add a batch dimension to a single element. For example, if you have a single image of shape `[height, width, channels]`, you can make it a batch of 1 image with `expand_dims(image, 0)`, which will make the shape `[1, height, width, channels]`.

Other examples: 

# 't' is a tensor of shape [2]
 shape(expand_dims(t, 0)) ==> [1, 2]
 shape(expand_dims(t, 1)) ==> [2, 1]
 shape(expand_dims(t, -1)) ==> [2, 1]
 
 # 't2' is a tensor of shape [2, 3, 5]
 shape(expand_dims(t2, 0)) ==> [1, 2, 3, 5]
 shape(expand_dims(t2, 2)) ==> [2, 3, 1, 5]
 shape(expand_dims(t2, 3)) ==> [2, 3, 5, 1]
This operation requires that:

`-1-input.dims() <= dim <= input.dims()`

This operation is related to `squeeze()`, which removes dimensions of size 1.

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T, U extends Number> ExpandDims<T>
create(Scope scope, Operand<T> input, Operand<U> axis)
Factory method to create a class wrapping a new ExpandDims operation.
Output<T>
output()
Contains the same data as `input`, but its shape has an additional dimension of size 1 added.

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 ExpandDims<T> create (Scope scope, Operand<T> input, Operand<U> axis)

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

Parameters
scope current scope
axis 0-D (scalar). Specifies the dimension index at which to expand the shape of `input`. Must be in the range `[-rank(input) - 1, rank(input)]`.
Returns
  • a new instance of ExpandDims

public Output<T> output ()

Contains the same data as `input`, but its shape has an additional dimension of size 1 added.