61c6c84964
This change moves //tensorflow/contrib/lite to //tensorflow/lite in preparation for TensorFlow 2.0's deprecation of contrib/. If you refer to TF Lite build targets or headers, you will need to update them manually. If you use TF Lite from the TensorFlow python package, "tf.contrib.lite" now points to "tf.lite". Please update your imports as soon as possible. For more details, see https://groups.google.com/a/tensorflow.org/forum/#!topic/tflite/iIIXOTOFvwQ @angersson and @aselle are conducting this migration. Please contact them if you have any further questions. PiperOrigin-RevId: 219536476
43 lines
1.5 KiB
C++
43 lines
1.5 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#ifndef TENSORFLOW_LITE_TESTING_TOKENIZE_H_
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#define TENSORFLOW_LITE_TESTING_TOKENIZE_H_
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#include <istream>
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#include <string>
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namespace tflite {
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namespace testing {
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// Process tokens coming from Tokenize().
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class TokenProcessor {
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public:
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virtual ~TokenProcessor() {}
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// Process a single token. The token won't be reused, so it is OK to call
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// token.swap().
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virtual void ConsumeToken(std::string* token) = 0;
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};
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// Tokenize a stream on whitespaces, colons and curly braces. Whitespaces are
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// removed from the tokens and double-quotes can be used to avoid that. Note
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// that there is no way to escape double-quotes, so there's no way to have a
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// double-quote inside a token.
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void Tokenize(std::istream* input, TokenProcessor* processor);
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} // namespace testing
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TESTING_TOKENIZE_H_
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