tensorflow::ops::TakeManySparseFromTensorsMap

#include <sparse_ops.h>

Read SparseTensors from a SparseTensorsMap and concatenate them.

Summary

The input sparse_handles must be an int64 matrix of shape [N, 1] where N is the minibatch size and the rows correspond to the output handles of AddSparseToTensorsMap or AddManySparseToTensorsMap. The ranks of the original SparseTensor objects that went into the given input ops must all match. When the final SparseTensor is created, it has rank one higher than the ranks of the incoming SparseTensor objects (they have been concatenated along a new row dimension on the left).

The output SparseTensor object's shape values for all dimensions but the first are the max across the input SparseTensor objects' shape values for the corresponding dimensions. Its first shape value is N, the minibatch size.

The input SparseTensor objects' indices are assumed ordered in standard lexicographic order. If this is not the case, after this step run SparseReorder to restore index ordering.

For example, if the handles represent an input, which is a [2, 3] matrix representing two original SparseTensor objects:

``` index = [ 0] [10] [20] values = [1, 2, 3] shape = [50] ```

and

``` index = [ 2] [10] values = [4, 5] shape = [30] ```

then the final SparseTensor will be:

``` index = [0 0] [0 10] [0 20] [1 2] [1 10] values = [1, 2, 3, 4, 5] shape = [2 50] ```

Arguments:

  • scope: A Scope object
  • sparse_handles: 1-D, The N serialized SparseTensor objects. Shape: [N].
  • dtype: The dtype of the SparseTensor objects stored in the SparseTensorsMap.

Optional attributes (see Attrs):

  • container: The container name for the SparseTensorsMap read by this op.
  • shared_name: The shared name for the SparseTensorsMap read by this op. It should not be blank; rather the shared_name or unique Operation name of the Op that created the original SparseTensorsMap should be used.

Returns:

  • Output sparse_indices: 2-D. The indices of the minibatch SparseTensor.
  • Output sparse_values: 1-D. The values of the minibatch SparseTensor.
  • Output sparse_shape: 1-D. The shape of the minibatch SparseTensor.

Constructors and Destructors

TakeManySparseFromTensorsMap(const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_handles, DataType dtype)
TakeManySparseFromTensorsMap(const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_handles, DataType dtype, const TakeManySparseFromTensorsMap::Attrs & attrs)

Public attributes

sparse_indices
sparse_shape
sparse_values

Public static functions

Container(StringPiece x)
SharedName(StringPiece x)

Structs

tensorflow::ops::TakeManySparseFromTensorsMap::Attrs

Optional attribute setters for TakeManySparseFromTensorsMap.

Public attributes

sparse_indices

::tensorflow::Output sparse_indices

sparse_shape

::tensorflow::Output sparse_shape

sparse_values

::tensorflow::Output sparse_values

Public functions

TakeManySparseFromTensorsMap

 TakeManySparseFromTensorsMap(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input sparse_handles,
  DataType dtype
)

TakeManySparseFromTensorsMap

 TakeManySparseFromTensorsMap(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input sparse_handles,
  DataType dtype,
  const TakeManySparseFromTensorsMap::Attrs & attrs
)

Public static functions

Container

Attrs Container(
  StringPiece x
)

SharedName

Attrs SharedName(
  StringPiece x
)