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// Copyright 2025 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/permissions/prediction_service/permissions_ai_encoder_base.h"
#include <array>
#include <vector>
#include "base/types/optional_ref.h"
#include "components/optimization_guide/core/optimization_guide_util.h"
#include "components/permissions/prediction_service/permissions_aiv3_executor.h"
#include "components/permissions/prediction_service/permissions_aiv4_executor.h"
#include "skia/ext/image_operations.h"
#include "third_party/tflite_support/src/tensorflow_lite_support/cc/task/core/task_utils.h"
namespace permissions {
namespace {
constexpr int kImageInputWidth = 64;
constexpr int kImageInputHeight = 64;
} // namespace
template <typename EncoderInput>
const int PermissionsAiEncoderBase<EncoderInput>::kImageInputHeight =
permissions::kImageInputHeight;
template <typename EncoderInput>
const int PermissionsAiEncoderBase<EncoderInput>::kImageInputWidth =
permissions::kImageInputWidth;
using ::tflite::task::core::PopulateTensor;
template <typename EncoderInput>
bool PermissionsAiEncoderBase<EncoderInput>::ConvertSkBitMapToTfliteTensor(
TfLiteTensor* input_tensor,
const SkBitmap& input) {
SkBitmap resized =
skia::ImageOperations::Resize(input, skia::ImageOperations::RESIZE_BEST,
kImageInputWidth, kImageInputHeight);
if (resized.drawsNothing()) {
return false;
}
std::array<float,
permissions::kImageInputWidth * permissions::kImageInputHeight * 3>
data;
int index = 0;
for (int h = 0; h < resized.height(); ++h) {
for (int w = 0; w < resized.width(); ++w) {
SkColor color = resized.getColor(h, w);
// We normalize the pixel values to be in between 0 and 1.
data[index++] = static_cast<float>(SkColorGetR(color)) / 255.0f;
data[index++] = static_cast<float>(SkColorGetG(color)) / 255.0f;
data[index++] = static_cast<float>(SkColorGetB(color)) / 255.0f;
}
}
return PopulateTensor<float>(data.data(), data.size(), input_tensor).ok();
}
template <typename EncoderInput>
std::optional<typename PermissionsAiEncoderBase<EncoderInput>::ModelOutput>
PermissionsAiEncoderBase<EncoderInput>::Postprocess(
const std::vector<const TfLiteTensor*>& output_tensors) {
std::vector<float> data;
if (!tflite::task::core::PopulateVector<float>(output_tensors[0], &data)
.ok()) {
return std::nullopt;
}
// Uses empirically determined thresholds, that map to relevance enum vals as
// follows:
// val < thr[0] -> VeryLow
// ...
// val < thr[4] -> High
// val >= thr[4] -> VeryHigh
for (size_t i = 0; i < relevance_thresholds_.size(); ++i) {
if (data[0] < relevance_thresholds_[i]) {
return static_cast<PermissionRequestRelevance>(i + 1);
}
}
return PermissionRequestRelevance::kVeryHigh;
}
template <typename EncoderInput>
base::TaskPriority
PermissionsAiEncoderBase<EncoderInput>::GetModelLoadingTaskPriority() const {
return base::TaskPriority::USER_VISIBLE;
}
// Template instantiation for the Aiv3/Aiv4 model handlers.
template class PermissionsAiEncoderBase<const PermissionsAiv3ExecutorInput&>;
template class PermissionsAiEncoderBase<const PermissionsAiv4ExecutorInput&>;
} // namespace permissions
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