chore: import upstream snapshot with attribution
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/*!
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* Copyright (c) 2021-2026 Microsoft Corporation. All rights reserved.
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* Copyright (c) 2021-2026 The LightGBM developers. All rights reserved.
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* Licensed under the MIT License. See LICENSE file in the project root for
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* license information.
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*/
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#ifndef LIGHTGBM_SRC_OBJECTIVE_CUDA_CUDA_BINARY_OBJECTIVE_HPP_
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#define LIGHTGBM_SRC_OBJECTIVE_CUDA_CUDA_BINARY_OBJECTIVE_HPP_
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#ifdef USE_CUDA
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#define GET_GRADIENTS_BLOCK_SIZE_BINARY (1024)
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#define CALC_INIT_SCORE_BLOCK_SIZE_BINARY (1024)
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#include <LightGBM/cuda/cuda_objective_function.hpp>
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#include <string>
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#include <vector>
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#include "../binary_objective.hpp"
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namespace LightGBM {
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class CUDABinaryLogloss : public CUDAObjectiveInterface<BinaryLogloss> {
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public:
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explicit CUDABinaryLogloss(const Config& config);
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explicit CUDABinaryLogloss(const Config& config, const int ova_class_id);
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explicit CUDABinaryLogloss(const std::vector<std::string>& strs);
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~CUDABinaryLogloss();
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void Init(const Metadata& metadata, data_size_t num_data) override;
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bool NeedConvertOutputCUDA() const override { return true; }
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private:
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void LaunchGetGradientsKernel(const double* scores, score_t* gradients, score_t* hessians) const override;
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double LaunchCalcInitScoreKernel(const int class_id) const override;
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const double* LaunchConvertOutputCUDAKernel(const data_size_t num_data, const double* input, double* output) const override;
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void LaunchResetOVACUDALabelKernel() const;
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// CUDA memory, held by other objects
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const label_t* cuda_label_;
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CUDAVector<label_t> cuda_ova_label_;
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const label_t* cuda_weights_;
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// CUDA memory, held by this object
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CUDAVector<double> cuda_boost_from_score_;
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CUDAVector<double> cuda_sum_weights_;
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CUDAVector<double> cuda_label_weights_;
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const int ova_class_id_ = -1;
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};
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} // namespace LightGBM
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#endif // USE_CUDA
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#endif // LIGHTGBM_SRC_OBJECTIVE_CUDA_CUDA_BINARY_OBJECTIVE_HPP_
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