public final class
Squeeze
Removes dimensions of size 1 from the shape of a tensor.
Given a tensor `input`, this operation returns a tensor of the same type with all dimensions of size 1 removed. If you don't want to remove all size 1 dimensions, you can remove specific size 1 dimensions by specifying `axis`.
For example:
# 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
shape(squeeze(t)) ==> [2, 3]
# 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
shape(squeeze(t, [2, 4])) ==> [1, 2, 3, 1]
Nested Classes
| class | Squeeze.Options | Optional attributes for Squeeze
|
|
Public Methods
| Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
| static Squeeze.Options |
axis(List<Long> axis)
|
| static <T> Squeeze<T> |
create(Scope scope, Operand<T> input, Options... options)
Factory method to create a class wrapping a new Squeeze operation.
|
| Output<T> |
output()
Contains the same data as `input`, but has one or more dimensions of
size 1 removed.
|
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 Squeeze.Options axis (List<Long> axis)
Parameters
| axis | If specified, only squeezes the dimensions listed. The dimension index starts at 0. It is an error to squeeze a dimension that is not 1. Must be in the range `[-rank(input), rank(input))`. |
|---|
public static Squeeze<T> create (Scope scope, Operand<T> input, Options... options)
Factory method to create a class wrapping a new Squeeze operation.
Parameters
| scope | current scope |
|---|---|
| input | The `input` to squeeze. |
| options | carries optional attributes values |
Returns
- a new instance of Squeeze
public Output<T> output ()
Contains the same data as `input`, but has one or more dimensions of size 1 removed.