52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
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# Copyright 2015 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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"""Utilities common to CIFAR10 and CIFAR100 datasets.
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import sys
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from six.moves import cPickle
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def load_batch(fpath, label_key='labels'):
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"""Internal utility for parsing CIFAR data.
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Arguments:
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fpath: path the file to parse.
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label_key: key for label data in the retrieve
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dictionary.
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Returns:
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A tuple `(data, labels)`.
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"""
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with open(fpath, 'rb') as f:
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if sys.version_info < (3,):
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d = cPickle.load(f)
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else:
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d = cPickle.load(f, encoding='bytes')
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# decode utf8
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d_decoded = {}
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for k, v in d.items():
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d_decoded[k.decode('utf8')] = v
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d = d_decoded
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data = d['data']
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labels = d[label_key]
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data = data.reshape(data.shape[0], 3, 32, 32)
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return data, labels
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