58 lines
2.3 KiB
Python
58 lines
2.3 KiB
Python
![]() |
# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
|
||
|
#
|
||
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
# you may not use this file except in compliance with the License.
|
||
|
# You may obtain a copy of the License at
|
||
|
#
|
||
|
# http://www.apache.org/licenses/LICENSE-2.0
|
||
|
#
|
||
|
# Unless required by applicable law or agreed to in writing, software
|
||
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
# See the License for the specific language governing permissions and
|
||
|
# limitations under the License.
|
||
|
# ==============================================================================
|
||
|
"""The implementation of `tf.data.Dataset.flat_map`."""
|
||
|
|
||
|
from tensorflow.python.data.ops import dataset_ops
|
||
|
from tensorflow.python.data.ops import structured_function
|
||
|
from tensorflow.python.ops import gen_dataset_ops
|
||
|
|
||
|
|
||
|
def _flat_map(input_dataset, map_func, name=None): # pylint: disable=unused-private-name
|
||
|
"""See `Dataset.flat_map()` for details."""
|
||
|
return _FlatMapDataset(input_dataset, map_func, name)
|
||
|
|
||
|
|
||
|
class _FlatMapDataset(dataset_ops.UnaryDataset):
|
||
|
"""A `Dataset` that maps a function over its input and flattens the result."""
|
||
|
|
||
|
def __init__(self, input_dataset, map_func, name=None):
|
||
|
|
||
|
self._input_dataset = input_dataset
|
||
|
self._map_func = structured_function.StructuredFunctionWrapper(
|
||
|
map_func, self._transformation_name(), dataset=input_dataset)
|
||
|
if not isinstance(self._map_func.output_structure, dataset_ops.DatasetSpec):
|
||
|
raise TypeError(
|
||
|
"The `map_func` argument must return a `Dataset` object. Got "
|
||
|
f"{dataset_ops.get_type(self._map_func.output_structure)!r}.")
|
||
|
# pylint: disable=protected-access
|
||
|
self._structure = self._map_func.output_structure._element_spec
|
||
|
self._name = name
|
||
|
variant_tensor = gen_dataset_ops.flat_map_dataset(
|
||
|
input_dataset._variant_tensor, # pylint: disable=protected-access
|
||
|
self._map_func.function.captured_inputs,
|
||
|
f=self._map_func.function,
|
||
|
**self._common_args)
|
||
|
super().__init__(input_dataset, variant_tensor)
|
||
|
|
||
|
def _functions(self):
|
||
|
return [self._map_func]
|
||
|
|
||
|
@property
|
||
|
def element_spec(self):
|
||
|
return self._structure
|
||
|
|
||
|
def _transformation_name(self):
|
||
|
return "Dataset.flat_map()"
|