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// Copyright 2020 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#ifndef CHROME_BROWSER_ASH_POWER_ML_SMART_DIM_SMART_DIM_WORKER_H_
#define CHROME_BROWSER_ASH_POWER_ML_SMART_DIM_SMART_DIM_WORKER_H_
#include <memory>
#include "chromeos/services/machine_learning/public/mojom/graph_executor.mojom.h"
#include "chromeos/services/machine_learning/public/mojom/machine_learning_service.mojom.h"
#include "chromeos/services/machine_learning/public/mojom/model.mojom.h"
#include "mojo/public/cpp/bindings/remote.h"
namespace assist_ranker {
class ExamplePreprocessorConfig;
} // namespace assist_ranker
namespace ash {
namespace power {
namespace ml {
// This is the common interface & base class that holds the preprocessor, model
// graph executor and other essential fields like dim_threshold,
// expected_feature_size for SmartDimMlAgent to make decision.
// It has two child classes, BuiltinWorker and DownloadWorker, both are members
// of SmartDimMlAgent and are created when SmartDimWorker is created.
// DownloadWorker is not ready until InitializeFromComponent is successfully
// called by component update service, while BuiltinWorker can be lazily
// initialized when GetPreprocessorConfig() or GetExecutor() are called.
class SmartDimWorker {
public:
SmartDimWorker();
SmartDimWorker(const SmartDimWorker&) = delete;
SmartDimWorker& operator=(const SmartDimWorker&) = delete;
virtual ~SmartDimWorker();
// Gets model score threshold above which the screen dim is recommended.
double dim_threshold() const;
// Gets expected feature size.
size_t expected_feature_size() const;
// Returns a preprocessor_config for SmartDimMlAgent to convert feature proto
// to a vector.
virtual const assist_ranker::ExamplePreprocessorConfig*
GetPreprocessorConfig() = 0;
// Returns a mojo remote of ML service GraphExecutor to make inference.
virtual const mojo::Remote<chromeos::machine_learning::mojom::GraphExecutor>&
GetExecutor() = 0;
// Release the members on connection error, or when download_worker_ is ready
// we can reset the builtin_worker_ to save memory.
// Note: subclasses might reconnect automatically, e.g. if ml_agent decides to
// use builtin_worker_ after it is Reset, LazyInitialize will reconnect it.
virtual void Reset();
protected:
void OnConnectionError();
double dim_threshold_;
size_t expected_feature_size_;
std::unique_ptr<assist_ranker::ExamplePreprocessorConfig>
preprocessor_config_;
// Remotes used to execute functions in the ML service side.
mojo::Remote<chromeos::machine_learning::mojom::Model> model_;
mojo::Remote<chromeos::machine_learning::mojom::GraphExecutor> executor_;
};
} // namespace ml
} // namespace power
} // namespace ash
#endif // CHROME_BROWSER_ASH_POWER_ML_SMART_DIM_SMART_DIM_WORKER_H_
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