30f3741ddf
This change fixes the issue for missing min_runtime_version in flatbuffers exported by MLIR converter. Specifically: *Export `min_runtime_version` in metadata of flatbuffer (fixed-length byte array). *Update all related mlir tests to have metadata. PiperOrigin-RevId: 299894972 Change-Id: Ic79f3ab05b593882362f5baf62493861961acbe3
33 lines
1.3 KiB
C++
33 lines
1.3 KiB
C++
/* Copyright 2019 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_TOCO_TFLITE_OP_VERSION_H_
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#define TENSORFLOW_LITE_TOCO_TFLITE_OP_VERSION_H_
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#include "tensorflow/lite/toco/model.h"
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namespace toco {
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namespace tflite {
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// Get the minimum TF Lite runtime required to run a model. Each built-in
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// operator in the model will have its own minimum requirement of a runtime, and
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// the model's minimum requirement of runtime is defined as the maximum of all
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// the built-in operators' minimum runtime.
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std::string GetMinimumRuntimeVersionForModel(const Model& model);
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} // namespace tflite
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} // namespace toco
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#endif // TENSORFLOW_LITE_TOCO_TFLITE_OP_VERSION_H_
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