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Jungfraujoch/common/CUDAWrapper.cpp
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leonarski_f 6dfe065365
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v1.0.0-rc.172 (#82)
* Fixed `jfjoch_broker` cancelling every data collection with a CUDA "out of memory" error after long operation: GPU memory no longer leaks with each collection.
* Rugnux scales a rotation sweep until the per-frame scales settle instead of for a fixed three rounds, and says so when they did not - merged intensities, and the space group, resolution cut and frame rejection read off them, change accordingly; `--scaling-iterations` is now the cap on that loop (default 100).
* Rugnux places every frame of a marCCD, SMV or miniCBF series at the spindle angle its own header states, so a series with missing frames, or with angles written modulo 360, is no longer read at the wrong geometry or refused.
* Every rotation run writes two diagnostic files beside its reflections: `<prefix>_detector.jpg`, the detector projection with the pixel mask and the detected beam-stop shadow drawn on it, and `<prefix>_plot.txt`, one row per image.

Reviewed-on: #82
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-09-22 06:48:37 +02:00

44 lines
1.1 KiB
C++

// SPDX-FileCopyrightText: 2024 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "CUDAWrapper.h"
// Build-independent: the CUDA build gets get_gpu_names() from CUDAWrapper.cu, the CPU-only build from
// the stub below, and this collapses whichever list came back. Four identical cards read better as
// "4x <name>" than as the same name four times, and a mixed machine keeps one group per model.
std::string get_gpu_description() {
const auto names = get_gpu_names();
std::string out;
for (size_t i = 0; i < names.size();) {
size_t n = 1;
while (i + n < names.size() && names[i + n] == names[i])
n++;
if (!out.empty())
out += ", ";
if (n > 1)
out += std::to_string(n) + "x ";
out += names[i];
i += n;
}
return out;
}
#ifndef JFJOCH_USE_CUDA
int32_t get_gpu_count() {
return 0;
}
std::vector<std::string> get_gpu_names() {
return {};
}
void set_gpu(int32_t dev_id) {}
void pin_gpu() {}
void cuda_clear_error() {}
#endif