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1# Copyright 2018 The TensorFlow Authors. All Rights Reserved. 

2# 

3# Licensed under the Apache License, Version 2.0 (the "License"); 

4# you may not use this file except in compliance with the License. 

5# You may obtain a copy of the License at 

6# 

7# http://www.apache.org/licenses/LICENSE-2.0 

8# 

9# Unless required by applicable law or agreed to in writing, software 

10# distributed under the License is distributed on an "AS IS" BASIS, 

11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

12# See the License for the specific language governing permissions and 

13# limitations under the License. 

14# ============================================================================== 

15"""Ragged Tensors. 

16 

17This package defines ops for manipulating ragged tensors (`tf.RaggedTensor`), 

18which are tensors with non-uniform shapes. In particular, each `RaggedTensor` 

19has one or more *ragged dimensions*, which are dimensions whose slices may have 

20different lengths. For example, the inner (column) dimension of 

21`rt=[[3, 1, 4, 1], [], [5, 9, 2], [6], []]` is ragged, since the column slices 

22(`rt[0, :]`, ..., `rt[4, :]`) have different lengths. For a more detailed 

23description of ragged tensors, see the `tf.RaggedTensor` class documentation 

24and the [Ragged Tensor Guide](/guide/ragged_tensor). 

25""" 

26