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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.
#ifndef COMPONENTS_PERMISSIONS_PREDICTION_SERVICE_PERMISSIONS_AIV3_ENCODER_H_
#define COMPONENTS_PERMISSIONS_PREDICTION_SERVICE_PERMISSIONS_AIV3_ENCODER_H_
#include <optional>
#include <vector>
#include "components/optimization_guide/core/inference/base_model_executor.h"
#include "components/optimization_guide/core/inference/model_executor.h"
#include "components/permissions/permission_request_enums.h"
#include "components/permissions/prediction_service/prediction_service_messages.pb.h"
#include "components/permissions/request_type.h"
#include "third_party/skia/include/core/SkBitmap.h"
namespace permissions {
// The executor maps its inputs into TFLite's tensor format and converts the
// model output's tensor representation back.
class PermissionsAiv3Encoder
: public optimization_guide::BaseModelExecutor<PermissionRequestRelevance,
const SkBitmap&> {
public:
using ModelInput = SkBitmap;
using ModelOutput = PermissionRequestRelevance;
static const int kModelInputWidth;
static const int kModelInputHeight;
explicit PermissionsAiv3Encoder(RequestType request_type)
: request_type_(request_type) {}
~PermissionsAiv3Encoder() override = default;
protected:
// optimization_guide::BaseModelEncoder:
bool Preprocess(const std::vector<TfLiteTensor*>& input_tensors,
const ModelInput& input) override;
std::optional<ModelOutput> Postprocess(
const std::vector<const TfLiteTensor*>& output_tensors) override;
private:
RequestType request_type_;
};
} // namespace permissions
#endif // COMPONENTS_PERMISSIONS_PREDICTION_SERVICE_PERMISSIONS_AIV3_ENCODER_H_
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