tensorflow::
ops::
TensorArrayGather
#include <data_flow_ops.h>
Gather
specific elements from the
TensorArray
into output
value
.
Summary
All
elements selected by
indices
must have the same shape.
Args:
- scope: A Scope object
- handle: The handle to a TensorArray .
- indices: The locations in the TensorArray from which to read tensor elements.
- flow_in: A float scalar that enforces proper chaining of operations.
- dtype: The type of the elem that is returned.
Optional attributes (see
Attrs
):
- element_shape: The expected shape of an element, if known. Used to validate the shapes of TensorArray elements. If this shape is not fully specified, gathering zero-size TensorArrays is an error.
Returns:
-
Output
: All of the elements in the TensorArray , concatenated along a new axis (the new dimension 0).
Constructors and Destructors |
|
---|---|
TensorArrayGather
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
handle, ::
tensorflow::Input
indices, ::
tensorflow::Input
flow_in, DataType dtype)
|
|
TensorArrayGather
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
handle, ::
tensorflow::Input
indices, ::
tensorflow::Input
flow_in, DataType dtype, const
TensorArrayGather::Attrs
& attrs)
|
Public attributes |
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operation
|
|
value
|
Public functions |
|
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node
() const
|
::tensorflow::Node *
|
operator::tensorflow::Input
() const
|
|
operator::tensorflow::Output
() const
|
|
Public static functions |
|
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ElementShape
(PartialTensorShape x)
|
Structs |
|
---|---|
tensorflow::
|
Optional attribute setters for TensorArrayGather . |
Public attributes
Public functions
TensorArrayGather
TensorArrayGather( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input indices, ::tensorflow::Input flow_in, DataType dtype )
TensorArrayGather
TensorArrayGather( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input indices, ::tensorflow::Input flow_in, DataType dtype, const TensorArrayGather::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const