Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow/python/data/experimental/ops/compression_ops.py: 42%

1# Copyright 2020 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"""Ops for compressing and uncompressing dataset elements.""" 

16from tensorflow.python.data.util import structure 

17from tensorflow.python.ops import gen_experimental_dataset_ops as ged_ops 

18 

19 

20def compress(element): 

21 """Compress a dataset element. 

22 

23 Args: 

24 element: A nested structure of types supported by Tensorflow. 

25 

26 Returns: 

27 A variant tensor representing the compressed element. This variant can be 

28 passed to `uncompress` to get back the original element. 

29 """ 

30 element_spec = structure.type_spec_from_value(element) 

31 tensor_list = structure.to_tensor_list(element_spec, element) 

32 return ged_ops.compress_element(tensor_list) 

33 

34 

35def uncompress(element, output_spec): 

36 """Uncompress a compressed dataset element. 

37 

38 Args: 

39 element: A scalar variant tensor to uncompress. The element should have been 

40 created by calling `compress`. 

41 output_spec: A nested structure of `tf.TypeSpec` representing the type(s) of 

42 the uncompressed element. 

43 

44 Returns: 

45 The uncompressed element. 

46 """ 

47 flat_types = structure.get_flat_tensor_types(output_spec) 

48 flat_shapes = structure.get_flat_tensor_shapes(output_spec) 

49 tensor_list = ged_ops.uncompress_element( 

50 element, output_types=flat_types, output_shapes=flat_shapes) 

51 return structure.from_tensor_list(output_spec, tensor_list)