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9a393e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | # 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 parsers.
Data parser parses input data and returns a dictionary of numpy arrays
keyed by the entries in standard_fields.py. Since the parser parses records
to numpy arrays (materialized tensors) directly, it is used to read data for
evaluation/visualization; to parse the data during training, DataDecoder should
be used.
"""
from abc import ABCMeta
from abc import abstractmethod
class DataToNumpyParser(object):
__metaclass__ = ABCMeta
@abstractmethod
def parse(self, input_data):
"""Parses input and returns a numpy array or a dictionary of numpy arrays.
Args:
input_data: an input data
Returns:
A numpy array or a dictionary of numpy arrays or None, if input
cannot be parsed.
"""
pass
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