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tf.sparse.slice

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Slice a SparseTensor based on the start and `size.

For example, if the input is

input_tensor = shape = [2, 7]
[    a   d e  ]
[b c          ]

Graphically the output tensors are:

sparse.slice([0, 0], [2, 4]) = shape = [2, 4]
[    a  ]
[b c    ]

sparse.slice([0, 4], [2, 3]) = shape = [2, 3]
[ d e  ]
[      ]
Args
sp_input The SparseTensor to split.
start 1-D. tensor represents the start of the slice.
size 1-D. tensor represents the size of the slice.
name A name for the operation (optional).
Returns
A SparseTensor objects resulting from splicing.
Raises
TypeError If sp_input is not a SparseTensor.

© 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/r1.15/api_docs/python/tf/sparse/slice