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 | |
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`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 | |
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A `Tensor` . Has the same type as `sp_values` . |

© 2020 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/SparseDenseCwiseAdd