58 lines
2.3 KiB
Python
58 lines
2.3 KiB
Python
# Copyright 2022 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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"""The implementation of `tf.data.Dataset.flat_map`."""
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from tensorflow.python.data.ops import dataset_ops
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from tensorflow.python.data.ops import structured_function
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from tensorflow.python.ops import gen_dataset_ops
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def _flat_map(input_dataset, map_func, name=None): # pylint: disable=unused-private-name
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"""See `Dataset.flat_map()` for details."""
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return _FlatMapDataset(input_dataset, map_func, name)
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class _FlatMapDataset(dataset_ops.UnaryDataset):
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"""A `Dataset` that maps a function over its input and flattens the result."""
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def __init__(self, input_dataset, map_func, name=None):
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self._input_dataset = input_dataset
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self._map_func = structured_function.StructuredFunctionWrapper(
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map_func, self._transformation_name(), dataset=input_dataset)
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if not isinstance(self._map_func.output_structure, dataset_ops.DatasetSpec):
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raise TypeError(
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"The `map_func` argument must return a `Dataset` object. Got "
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f"{dataset_ops.get_type(self._map_func.output_structure)!r}.")
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# pylint: disable=protected-access
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self._structure = self._map_func.output_structure._element_spec
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self._name = name
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variant_tensor = gen_dataset_ops.flat_map_dataset(
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input_dataset._variant_tensor, # pylint: disable=protected-access
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self._map_func.function.captured_inputs,
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f=self._map_func.function,
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**self._common_args)
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super().__init__(input_dataset, variant_tensor)
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def _functions(self):
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return [self._map_func]
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@property
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def element_spec(self):
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return self._structure
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def _transformation_name(self):
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return "Dataset.flat_map()"
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