Deserialize and concatenate `SparseTensors`

from a serialized minibatch.

tf.raw_ops.DeserializeManySparse( serialized_sparse, dtype, name=None )

The input `serialized_sparse`

must be a string matrix of shape `[N x 3]`

where `N`

is the minibatch size and the rows correspond to packed outputs of `SerializeSparse`

. The ranks of the original `SparseTensor`

objects must all match. When the final `SparseTensor`

is created, it has rank one higher than the ranks of the incoming `SparseTensor`

objects (they have been concatenated along a new row dimension).

The output `SparseTensor`

object's shape values for all dimensions but the first are the max across the input `SparseTensor`

objects' shape values for the corresponding dimensions. Its first shape value is `N`

, the minibatch size.

The input `SparseTensor`

objects' indices are assumed ordered in standard lexicographic order. If this is not the case, after this step run `SparseReorder`

to restore index ordering.

For example, if the serialized input is a `[2 x 3]`

matrix representing two original `SparseTensor`

objects:

index = [ 0] [10] [20] values = [1, 2, 3] shape = [50]

and

index = [ 2] [10] values = [4, 5] shape = [30]

then the final deserialized `SparseTensor`

will be:

index = [0 0] [0 10] [0 20] [1 2] [1 10] values = [1, 2, 3, 4, 5] shape = [2 50]

Args | |
---|---|

`serialized_sparse` | A `Tensor` of type `string` . 2-D, The `N` serialized `SparseTensor` objects. Must have 3 columns. |

`dtype` | A `tf.DType` . The `dtype` of the serialized `SparseTensor` objects. |

`name` | A name for the operation (optional). |

Returns | |
---|---|

A tuple of `Tensor` objects (sparse_indices, sparse_values, sparse_shape). | |

`sparse_indices` | A `Tensor` of type `int64` . |

`sparse_values` | A `Tensor` of type `dtype` . |

`sparse_shape` | A `Tensor` of type `int64` . |

© 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/DeserializeManySparse