tf.raw_ops.SparseDenseCwiseAdd | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.SparseDenseCwiseAdd
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Adds up a SparseTensor and a dense Tensor, using these special rules:
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tf.compat.v1.raw_ops.SparseDenseCwiseAdd
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, qint16, quint16, 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. |