52 lines
2.0 KiB
Python
52 lines
2.0 KiB
Python
# Copyright 2020 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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"""Ops for compressing and uncompressing dataset elements."""
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from tensorflow.python.data.util import structure
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from tensorflow.python.ops import gen_experimental_dataset_ops as ged_ops
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def compress(element):
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"""Compress a dataset element.
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Args:
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element: A nested structure of types supported by Tensorflow.
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Returns:
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A variant tensor representing the compressed element. This variant can be
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passed to `uncompress` to get back the original element.
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"""
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element_spec = structure.type_spec_from_value(element)
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tensor_list = structure.to_tensor_list(element_spec, element)
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return ged_ops.compress_element(tensor_list)
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def uncompress(element, output_spec):
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"""Uncompress a compressed dataset element.
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Args:
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element: A scalar variant tensor to uncompress. The element should have been
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created by calling `compress`.
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output_spec: A nested structure of `tf.TypeSpec` representing the type(s) of
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the uncompressed element.
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Returns:
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The uncompressed element.
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"""
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flat_types = structure.get_flat_tensor_types(output_spec)
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flat_shapes = structure.get_flat_tensor_shapes(output_spec)
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tensor_list = ged_ops.uncompress_element(
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element, output_types=flat_types, output_shapes=flat_shapes)
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return structure.from_tensor_list(output_spec, tensor_list)
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