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tf.sparse.slice
Slice a SparseTensor based on the start and `size.
tf.sparse.slice(
    sp_input, start, size, name=None
)
  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/r2.3/api_docs/python/tf/sparse/slice