tensorflow:: ops:: ExpandDims

#include <array_ops.h>

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

Summary

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.

Args:

  • scope: A Scope object
  • 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:

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

Constructors and Destructors

ExpandDims (const :: tensorflow::Scope & scope, :: tensorflow::Input input, :: tensorflow::Input axis)

Public attributes

operation
output

Public functions

node () const
::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Public attributes

operation 

Operation operation

output 

::tensorflow::Output output

Public functions

ExpandDims 

 ExpandDims(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input axis
)

node 

::tensorflow::Node * node() const

operator::tensorflow::Input 

 operator::tensorflow::Input() const

operator::tensorflow::Output 

 operator::tensorflow::Output() const