AddSparseToTensorsMap

tensorflow C++ API

tensorflow::ops::AddSparseToTensorsMap

Add a SparseTensor to a SparseTensorsMap return its handle.

Summary

A SparseTensor is represented by three tensors: sparse_indices, sparse_values, and sparse_shape.

This operator takes the given SparseTensor and adds it to a container object (a SparseTensorsMap). A unique key within this container is generated in the form of an int64, and this is the value that is returned.

The SparseTensor can then be read out as part of a minibatch by passing the key as a vector element to TakeManySparseFromTensorsMap. To ensure the correct SparseTensorsMap is accessed, ensure that the same container and shared_name are passed to that Op. If no shared_name is provided here, instead use the name of the Operation created by calling AddSparseToTensorsMap as the shared_name passed to TakeManySparseFromTensorsMap. Ensure the Operations are colocated.

Arguments:

• scope: A Scope object
• sparse_indices: 2-D. The indices of the SparseTensor.
• sparse_values: 1-D. The values of the SparseTensor.
• sparse_shape: 1-D. The shape of the SparseTensor.

Optional attributes (see Attrs):

• container: The container name for the SparseTensorsMap created by this op.
• shared_name: The shared name for the SparseTensorsMap created by this op. If blank, the new Operation's unique name is used.

Returns:

• Output: 0-D. The handle of theSparseTensor now stored in the SparseTensorsMap.

AddSparseToTensorsMap block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_sparse.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
• Input sparse_indices: connect Input node.
• Input sparse_values: connect Input node.
• Input sparse_shape: connect Input node.
• AddSparseToTensorsMap::Attrs attrs : Input attrs in value. ex) container_= ;shared_name_= ;

Return:

• Output output : Output object of AddSparseToTensorsMap class object.

Result:

• std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method