/TensorFlow 2.4


Add a SparseTensor to a SparseTensorsMap return its handle.

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.

sparse_indices A Tensor of type int64. 2-D. The indices of the SparseTensor.
sparse_values A Tensor. 1-D. The values of the SparseTensor.
sparse_shape A Tensor of type int64. 1-D. The shape of the SparseTensor.
container An optional string. Defaults to "". The container name for the SparseTensorsMap created by this op.
shared_name An optional string. Defaults to "". The shared name for the SparseTensorsMap created by this op. If blank, the new Operation's unique name is used.
name A name for the operation (optional).
A Tensor of type int64.

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