123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103 |
- // Copyright 2021 The Chromium Authors. All rights reserved.
- // Use of this source code is governed by a BSD-style license that can be
- // found in the LICENSE file.
- #ifndef COMPONENTS_OPTIMIZATION_GUIDE_CORE_BASE_MODEL_EXECUTOR_H_
- #define COMPONENTS_OPTIMIZATION_GUIDE_CORE_BASE_MODEL_EXECUTOR_H_
- #include "components/optimization_guide/core/base_model_executor_helpers.h"
- #include "components/optimization_guide/core/execution_status.h"
- #include "components/optimization_guide/core/optimization_guide_features.h"
- #include "components/optimization_guide/core/tflite_model_executor.h"
- #include "components/optimization_guide/core/tflite_op_resolver.h"
- #include "third_party/tflite_support/src/tensorflow_lite_support/cc/task/core/base_task_api.h"
- namespace optimization_guide {
- // An ModelExecutor that executes models with arbitrary
- // input and output types. Note that callers will need to give an implementation
- // of this class to a |ModelHandler|, whereas the
- // handle is the actual class that calling code would own and call into.
- template <class OutputType, class... InputTypes>
- class BaseModelExecutor : public TFLiteModelExecutor<OutputType, InputTypes...>,
- public InferenceDelegate<OutputType, InputTypes...> {
- public:
- using ModelExecutionTask =
- tflite::task::core::BaseTaskApi<OutputType, InputTypes...>;
- BaseModelExecutor() = default;
- ~BaseModelExecutor() override = default;
- BaseModelExecutor(const BaseModelExecutor&) = delete;
- BaseModelExecutor& operator=(const BaseModelExecutor&) = delete;
- public:
- // TFLiteModelExecutor:
- void InitializeAndMoveToExecutionThread(
- absl::optional<base::TimeDelta> model_inference_timeout,
- proto::OptimizationTarget optimization_target,
- scoped_refptr<base::SequencedTaskRunner> execution_task_runner,
- scoped_refptr<base::SequencedTaskRunner> reply_task_runner) override {
- num_threads_ = features::OverrideNumThreadsForOptTarget(optimization_target)
- .value_or(-1);
- TFLiteModelExecutor<OutputType, InputTypes...>::
- InitializeAndMoveToExecutionThread(
- model_inference_timeout, optimization_target, execution_task_runner,
- reply_task_runner);
- }
- protected:
- absl::optional<OutputType> Execute(ModelExecutionTask* execution_task,
- ExecutionStatus* out_status,
- InputTypes... args) override {
- return static_cast<GenericModelExecutionTask<OutputType, InputTypes...>*>(
- execution_task)
- ->Execute(out_status, args...);
- }
- std::unique_ptr<ModelExecutionTask> BuildModelExecutionTask(
- base::MemoryMappedFile* model_file,
- ExecutionStatus* out_status) override {
- std::unique_ptr<tflite::task::core::TfLiteEngine> tflite_engine =
- std::make_unique<tflite::task::core::TfLiteEngine>(
- std::make_unique<TFLiteOpResolver>());
- absl::Status model_load_status = tflite_engine->BuildModelFromFlatBuffer(
- reinterpret_cast<const char*>(model_file->data()),
- model_file->length());
- if (!model_load_status.ok()) {
- DLOG(ERROR) << "Failed to load model: " << model_load_status.ToString();
- *out_status = ExecutionStatus::kErrorModelFileNotValid;
- return nullptr;
- }
- auto compute_settings = tflite::proto::ComputeSettings();
- compute_settings.mutable_tflite_settings()
- ->mutable_cpu_settings()
- ->set_num_threads(num_threads_);
- absl::Status interpreter_status =
- tflite_engine->InitInterpreter(compute_settings);
- if (!interpreter_status.ok()) {
- DLOG(ERROR) << "Failed to initialize model interpreter: "
- << interpreter_status.ToString();
- *out_status = ExecutionStatus::kErrorUnknown;
- return nullptr;
- }
- return std::make_unique<
- GenericModelExecutionTask<OutputType, InputTypes...>>(
- std::move(tflite_engine), this);
- }
- // InferenceDelegate:
- bool Preprocess(const std::vector<TfLiteTensor*>& input_tensors,
- InputTypes... input) override = 0;
- absl::optional<OutputType> Postprocess(
- const std::vector<const TfLiteTensor*>& output_tensors) override = 0;
- private:
- // -1 tells TFLite to use its own default number of threads.
- int num_threads_ = -1;
- };
- } // namespace optimization_guide
- #endif // COMPONENTS_OPTIMIZATION_GUIDE_CORE_BASE_MODEL_EXECUTOR_H_
|