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// Copyright 2018 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.
#include <memory>
#include <vector>
#include "base/compiler_specific.h"
#include "components/assist_ranker/base_predictor.h"
#include "components/assist_ranker/nn_classifier.h"
#include "components/assist_ranker/proto/ranker_example.pb.h"
namespace base {
class FilePath;
namespace network {
class SharedURLLoaderFactory;
namespace assist_ranker {
// Predictor class for single-layer neural network models.
class ClassifierPredictor : public BasePredictor {
~ClassifierPredictor() override;
// Returns an new predictor instance with the given |config| and initialize
// its model loader. The |request_context getter| is passed to the
// predictor's model_loader which holds it as scoped_refptr.
static std::unique_ptr<ClassifierPredictor> Create(
const PredictorConfig& config,
const base::FilePath& model_path,
scoped_refptr<network::SharedURLLoaderFactory> url_loader_factory)
// Performs inferencing on the specified RankerExample. The example is first
// preprocessed using the model config. Returns false if a prediction could
// not be made (e.g. the model is not loaded yet).
bool Predict(RankerExample example,
std::vector<float>* prediction) WARN_UNUSED_RESULT;
// Performs inferencing on the specified feature vector. Returns false if
// a prediction could not be made.
bool Predict(const std::vector<float>& features,
std::vector<float>* prediction) WARN_UNUSED_RESULT;
// Validates that the loaded RankerModel is a valid BinaryClassifier model.
static RankerModelStatus ValidateModel(const RankerModel& model);
// Instantiates the inference module.
bool Initialize() override;
friend class ClassifierPredictorTest;
ClassifierPredictor(const PredictorConfig& config);
NNClassifierModel model_;
} // namespace assist_ranker