tensorflow:: ops:: AddManySparseToTensorsMap
#include <sparse_ops.h>
Add an N
-minibatch SparseTensor
to a SparseTensorsMap
, return N
handles.
Summary
A SparseTensor
of rank R
is represented by three tensors: sparse_indices
, sparse_values
, and sparse_shape
, where
```sparse_indices.shape[1] == sparse_shape.shape[0] == R
AnN
-minibatch ofSparseTensor
objects is represented as aSparseTensor
having a firstsparse_indices
column taking values between[0, N)
, where the minibatch sizeN == sparse_shape[0]
.
The inputSparseTensor
must have rankR
greater than 1, and the first dimension is treated as the minibatch dimension. Elements of theSparseTensor
must be sorted in increasing order of this first dimension. The storedSparseTensor
objects pointed to by each row of the outputsparse_handles
will have rankR-1
.
TheSparseTensor
values can then be read out as part of a minibatch by passing the given keys as vector elements toTakeManySparseFromTensorsMap
. To ensure the correctSparseTensorsMap
is accessed, ensure that the samecontainer
andshared_name
are passed to that Op. If noshared_name
is provided here, instead use the name of the Operation created by callingAddManySparseToTensorsMap
as theshared_name
passed toTakeManySparseFromTensorsMap
. Ensure the Operations are colocated.
Args: * scope: A Scope object * sparse_indices: 2-D. Theindices
of the minibatchSparseTensor
.sparse_indices[:, 0]
must be ordered values in[0, N)
. * sparse_values: 1-D. Thevalues
of the minibatchSparseTensor
. * sparse_shape: 1-D. Theshape
of the minibatchSparseTensor
. The minibatch sizeN == sparse_shape[0]
.
Optional attributes (seeAttrs
): * container: The container name for theSparseTensorsMap
created by this op. * shared_name: The shared name for theSparseTensorsMap
created by this op. If blank, the new Operation's unique name is used.
Returns: *Output
: 1-D. The handles of theSparseTensor
now stored in theSparseTensorsMap
. Shape:[N]
.
Constructors and Destructors |
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AddManySparseToTensorsMap(const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape)
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AddManySparseToTensorsMap(const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape, const AddManySparseToTensorsMap::Attrs & attrs)
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Public attributes |
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operation
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sparse_handles
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Public functions |
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node() const
|
::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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Container(StringPiece x)
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SharedName(StringPiece x)
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Structs |
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tensorflow:: |
Optional attribute setters for AddManySparseToTensorsMap. |
Public attributes
operation
Operation operation
sparse_handles
::tensorflow::Output sparse_handles
Public functions
AddManySparseToTensorsMap
AddManySparseToTensorsMap( const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape )
AddManySparseToTensorsMap
AddManySparseToTensorsMap( const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape, const AddManySparseToTensorsMap::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Container
Attrs Container( StringPiece x )
SharedName
Attrs SharedName( StringPiece x )