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// 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 {
// Implements inference for a neural network model trained using
// tf.contrib.learn.DNNClassifier. The network has a single hidden layer
// with tf.nn.relu as the activation function. The output logits layer has no
// activation function.
// Returns a vector of scores for each class in the range -INF to +INF.
std::vector<float> Inference(const NNClassifierModel& model,
const std::vector<float>& input);
// Validates that the dimensions of the biases and weights in an
// NNClassifierModel are valid. Returns true if the model is valid, false
// otherwise.
bool Validate(const NNClassifierModel& model);
} // namespace nn_classifier
} // namespace assist_ranker