6d0f422525
(If ragged/__init__.py imports all ragged modules, then it's impossible to depend on one ragged module without depending on all of them.) PiperOrigin-RevId: 299479545 Change-Id: I469e160a49efdd47c137497328ea47800a621e85
30 lines
1.4 KiB
Python
30 lines
1.4 KiB
Python
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Ragged Tensors.
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This package defines ops for manipulating ragged tensors (`tf.RaggedTensor`),
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which are tensors with non-uniform shapes. In particular, each `RaggedTensor`
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has one or more *ragged dimensions*, which are dimensions whose slices may have
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different lengths. For example, the inner (column) dimension of
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`rt=[[3, 1, 4, 1], [], [5, 9, 2], [6], []]` is ragged, since the column slices
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(`rt[0, :]`, ..., `rt[4, :]`) have different lengths. For a more detailed
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description of ragged tensors, see the `tf.RaggedTensor` class documentation
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and the [Ragged Tensor Guide](/guide/ragged_tensors).
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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