leonarski_f
75e401f0e5
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This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * jfjoch_broker: Add EXPERIMENTAL pixelrefine mode for image processing * jfjoch_broker: Allow to load user mask from 8-bit and 16-bit TIFF files * jfjoch_broker: Add ROI calculation in non-FPGA workflow * jfjoch_broker: Fixes to TCP image pusher * jfjoch_broker: Remove NUMA bindings * jfjoch_broker: Improvements to indexing * jfjoch_broker: For PSI EIGER, trimming energies are taken from the detector configuration (now compulsory) instead of hardcoded values * jfjoch_writer: Save ROI definitions and the per-pixel ROI bitmap in the master file; azimuthal ROIs support phi (angular) sectors * jfjoch_viewer: Major redesign with dockable panels and saved layouts, plus on-canvas creation/move/resize of box, circle and azimuthal ROIs * jfjoch_viewer: Run jfjoch_process reprocessing jobs from inside the GUI and overlay per-run results Reviewed-on: #63
38 lines
1.4 KiB
C++
38 lines
1.4 KiB
C++
// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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#include <memory>
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#include "ROIIntegration.h"
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#include "../indexing/CUDAMemHelpers.h"
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class ROIIntegrationGPU : public ROIIntegration {
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std::shared_ptr<CudaStream> stream;
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int threads;
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int blocks;
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size_t shared_needed;
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CudaDevicePtr<uint16_t> gpu_roi_map;
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// 64-bit sums are accumulated as unsigned long long (two's-complement bit
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// pattern) because CUDA atomicAdd has no signed 64-bit overload.
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CudaDevicePtr<unsigned long long> gpu_sum;
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CudaDevicePtr<unsigned long long> gpu_sum2;
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CudaDevicePtr<unsigned long long> gpu_pixels;
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CudaDevicePtr<unsigned long long> gpu_x_weighted;
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CudaDevicePtr<unsigned long long> gpu_y_weighted;
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CudaDevicePtr<int> gpu_max;
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std::vector<unsigned long long> host_sum;
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std::vector<unsigned long long> host_sum2;
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std::vector<unsigned long long> host_pixels;
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std::vector<unsigned long long> host_x_weighted;
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std::vector<unsigned long long> host_y_weighted;
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std::vector<int> host_max;
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std::vector<int> max_init; // INT_MIN seed copied into gpu_max each frame
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public:
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ROIIntegrationGPU(const DiffractionExperiment &experiment, std::shared_ptr<CudaStream> stream);
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void Run(const ImagePreprocessorBuffer &image, std::map<std::string, ROIMessage> &out) override;
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};
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