This cl also add a new unit test to ensure new version got reflected in runtime version. PiperOrigin-RevId: 316630739 Change-Id: I139ecf3077b2eec9bcc13ea5bb9030199d29203a
40 lines
1.7 KiB
C++
40 lines
1.7 KiB
C++
/* Copyright 2020 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_TOOLS_VERSIONING_RUNTIME_VERSION_H_
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#define TENSORFLOW_LITE_TOOLS_VERSIONING_RUNTIME_VERSION_H_
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#include <string>
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#include "flatbuffers/flatbuffers.h" // from @flatbuffers
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#include "tensorflow/lite/schema/mutable/schema_generated.h"
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namespace tflite {
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// Update minimum runtime version of the given TFL flatbuffer model.
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void UpdateMinimumRuntimeVersionForModel(uint8_t* model_buffer_pointer);
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// Find the minimum runtime version of a given op version. Return an empty
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// string the version is not registered.
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std::string FindMinimumRuntimeVersionForOp(tflite::BuiltinOperator op_code,
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int op_version);
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// Returns true if the first version string precedes the second.
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// For example, '1.9' should precede '1.14', also '1.14' should precede
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// '1.14.1'. If two version string is equal, then false will be returned.
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bool CompareRuntimeVersion(const std::string&, const std::string&);
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TOOLS_VERSIONING_RUNTIME_VERSION_H_
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