# Copyright 2017 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. | |
# ============================================================================== | |
"""Interface for data decoders. | |
Data decoders decode the input data and return a dictionary of tensors keyed by | |
the entries in core.reader.Fields. | |
""" | |
from abc import ABCMeta | |
from abc import abstractmethod | |
class DataDecoder(object): | |
"""Interface for data decoders.""" | |
__metaclass__ = ABCMeta | |
def decode(self, data): | |
"""Return a single image and associated labels. | |
Args: | |
data: a string tensor holding a serialized protocol buffer corresponding | |
to data for a single image. | |
Returns: | |
tensor_dict: a dictionary containing tensors. Possible keys are defined in | |
reader.Fields. | |
""" | |
pass | |