#include <array_ops.h>
Unpacks a given dimension of a rank-R
tensor into num
rank-(R-1)
tensors.
Unpacks num
tensors from value
by chipping it along the axis
dimension. For example, given a tensor of shape (A, B, C, D)
;
If axis == 0
then the i'th tensor in output
is the slice value[i, :, :, :]
and each tensor in output
will have shape (B, C, D)
. (Note that the dimension unpacked along is gone, unlike split
).
If axis == 1
then the i'th tensor in output
is the slice value[:, i, :, :]
and each tensor in output
will have shape (A, C, D)
. Etc.
This is the opposite of pack
.
Arguments:
axis
dimension size equal to num
.Optional attributes (see Attrs
):
[-R, R)
.Returns:
OutputList
: The list of tensors unpacked from value
. Constructors and Destructors | |
---|---|
Unstack(const ::tensorflow::Scope & scope, ::tensorflow::Input value, int64 num) | |
Unstack(const ::tensorflow::Scope & scope, ::tensorflow::Input value, int64 num, const Unstack::Attrs & attrs) |
Public attributes | |
---|---|
output |
Public functions | |
---|---|
operator[](size_t index) const |
Public static functions | |
---|---|
Axis(int64 x) |
Structs | |
---|---|
tensorflow::ops::Unstack::Attrs | Optional attribute setters for Unstack. |
::tensorflow::OutputList output
Unstack( const ::tensorflow::Scope & scope, ::tensorflow::Input value, int64 num )
Unstack( const ::tensorflow::Scope & scope, ::tensorflow::Input value, int64 num, const Unstack::Attrs & attrs )
::tensorflow::Output operator[]( size_t index ) const
Attrs Axis( int64 x )
© 2017 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/unstack.html