blob: c564471666f6aff03f4781eb228a4bc62aac3de3 [file] [log] [blame]
// Copyright (c) 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 <vector>
#include "components/assist_ranker/proto/nn_classifier.pb.h"
namespace assist_ranker {
namespace nn_classifier {
// Creates a NNClassifierModel proto using a specified set of biases and
// weights.
NNClassifierModel CreateModel(
const std::vector<float>& hidden_biases,
const std::vector<std::vector<float>>& hidden_weights,
const std::vector<float>& logits_biases,
const std::vector<std::vector<float>>& logits_weights);
// Performs inference on the input vector using the specified model, and
// checks that the expected scores are output.
bool CheckInference(const NNClassifierModel& model,
const std::vector<float>& input,
const std::vector<float>& expected_scores);
// Creates a NNClassiferModel that implements eXclusive-OR. True results
// are > 1, false results are < -1. This is a simple classification problem
// that cannot be solved linearly, so is a good test for a neural network.
NNClassifierModel CreateXorClassifierModel();
} // namespace nn_classifier
} // namespace assist_ranker