tf.raw_ops.AddManySparseToTensorsMap

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Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles.

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Compat aliases for migration

tf.compat.v1.raw_ops.AddManySparseToTensorsMap

tf.raw_ops.AddManySparseToTensorsMap(
    sparse_indices,
    sparse_values,
    sparse_shape,
    container='',
    shared_name='',
    name=None
)

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

An N-minibatch of SparseTensor objects is represented as a SparseTensorhaving a first sparse_indices column taking values between [0, N), where the minibatch size N == sparse_shape[0].

The input SparseTensor must have rank R greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the SparseTensormust be sorted in increasing order of this first dimension. The storedSparseTensor objects pointed to by each row of the output sparse_handleswill have rank R-1.

The SparseTensor values can then be read out as part of a minibatch by passing the given keys as vector elements to TakeManySparseFromTensorsMap. To ensure the correct SparseTensorsMap is accessed, ensure that the samecontainer and shared_name are passed to that Op. If no shared_nameis provided here, instead use the name of the Operation created by callingAddManySparseToTensorsMap as the shared_name passed toTakeManySparseFromTensorsMap. Ensure the Operations are colocated.

Args
sparse_indices	A Tensor of type int64. 2-D. The indices of the minibatch SparseTensor.sparse_indices[:, 0] must be ordered values in [0, N).
sparse_values	A Tensor. 1-D. The values of the minibatch SparseTensor.
sparse_shape	A Tensor of type int64. 1-D. The shape of the minibatch SparseTensor. The minibatch size N == sparse_shape[0].
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).

Returns
A Tensor of type int64.

tf.raw_ops.AddManySparseToTensorsMap | TensorFlow v2.16.1 (original) (raw)

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