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// Copyright 2018 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "components/assist_ranker/quantized_nn_classifier.h"
#include "components/assist_ranker/nn_classifier.h"
namespace assist_ranker {
namespace quantized_nn_classifier {
namespace {
// Dequantized a set of unsigned 8-bit weights using the specified scaling
// factor and base value.
void DequantizeVector(const std::string& s,
float scale,
float low,
FloatVector* v) {
for (const unsigned char ch : s) {
v->mutable_values()->Add(scale * ch + low);
}
}
// Dequantizes a quantized NN layer.
void DequantizeLayer(const QuantizedNNLayer& quantized, NNLayer* layer) {
const float low = quantized.low();
const float scale = (quantized.high() - low) / 256;
DequantizeVector(quantized.biases(), scale, low, layer->mutable_biases());
for (const std::string& s : quantized.weights()) {
auto* p = layer->mutable_weights()->Add();
DequantizeVector(s, scale, low, p);
}
}
bool ValidateLayer(const QuantizedNNLayer& layer) {
// The quantization low value must always be less than the high value.
return layer.low() < layer.high();
}
} // namespace
NNClassifierModel Dequantize(const QuantizedNNClassifierModel& quantized) {
NNClassifierModel model;
DequantizeLayer(quantized.hidden_layer(), model.mutable_hidden_layer());
DequantizeLayer(quantized.logits_layer(), model.mutable_logits_layer());
return model;
}
bool Validate(const QuantizedNNClassifierModel& quantized) {
if (!ValidateLayer(quantized.hidden_layer()) ||
!ValidateLayer(quantized.logits_layer())) {
return false;
}
return nn_classifier::Validate(Dequantize(quantized));
}
} // namespace quantized_nn_classifier
} // namespace assist_ranker
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