Adds up a SparseTensor and a dense Tensor, using these special rules:
tf.raw_ops.SparseDenseCwiseAdd(
sp_indices, sp_values, sp_shape, dense, name=None
)
(1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.
By these rules, the result is a logical SparseTensor with exactly the same indices and shape, but possibly with different non-zero values. The output of this Op is the resultant non-zero values.
Args | |
|---|---|
sp_indices
|
A Tensor of type int64.
2-D. N x R matrix with the indices of non-empty values in a
SparseTensor, possibly not in canonical ordering.
|
sp_values
|
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64.
1-D. N non-empty values corresponding to sp_indices.
|
sp_shape
|
A Tensor of type int64.
1-D. Shape of the input SparseTensor.
|
dense
|
A Tensor. Must have the same type as sp_values.
R-D. The dense Tensor operand.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as sp_values.
|