#include <array_ops.h>
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.
Arguments:
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 | |
---|---|
output |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
::tensorflow::Output output
ExpandDims( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/expand-dims.html