MangoHud/src/gpu.cpp

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#include "gpu.h"
#include <inttypes.h>
#include <memory>
#include <functional>
#include <thread>
#include <cstring>
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#include <spdlog/spdlog.h>
#include "nvctrl.h"
#include "timing.hpp"
#ifdef HAVE_NVML
#include "nvidia_info.h"
#endif
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#include "amdgpu.h"
using namespace std::chrono_literals;
struct gpuInfo gpu_info {};
amdgpu_files amdgpu {};
decltype(&getAmdGpuInfo) getAmdGpuInfo_actual = nullptr;
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bool checkNvidia(const char *pci_dev){
bool nvSuccess = false;
#ifdef HAVE_NVML
nvSuccess = checkNVML(pci_dev) && getNVMLInfo({});
#endif
#ifdef HAVE_XNVCTRL
if (!nvSuccess)
nvSuccess = checkXNVCtrl();
#endif
#ifdef _WIN32
if (!nvSuccess)
nvSuccess = checkNVAPI();
#endif
return nvSuccess;
}
void getNvidiaGpuInfo(const struct overlay_params& params){
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#ifdef HAVE_NVML
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if (nvmlSuccess){
getNVMLInfo(params);
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gpu_info.load = nvidiaUtilization.gpu;
gpu_info.temp = nvidiaTemp;
gpu_info.memoryUsed = nvidiaMemory.used / (1024.f * 1024.f * 1024.f);
gpu_info.CoreClock = nvidiaCoreClock;
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gpu_info.MemClock = nvidiaMemClock;
gpu_info.powerUsage = nvidiaPowerUsage / 1000;
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gpu_info.memoryTotal = nvidiaMemory.total / (1024.f * 1024.f * 1024.f);
if (params.enabled[OVERLAY_PARAM_ENABLED_throttling_status]){
gpu_info.is_temp_throttled = (nvml_throttle_reasons & 0x0000000000000060LL) != 0;
gpu_info.is_power_throttled = (nvml_throttle_reasons & 0x000000000000008CLL) != 0;
gpu_info.is_other_throttled = (nvml_throttle_reasons & 0x0000000000000112LL) != 0;
}
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return;
}
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#endif
#ifdef HAVE_XNVCTRL
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if (nvctrlSuccess) {
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getNvctrlInfo();
gpu_info.load = nvctrl_info.load;
gpu_info.temp = nvctrl_info.temp;
gpu_info.memoryUsed = nvctrl_info.memoryUsed / (1024.f);
gpu_info.CoreClock = nvctrl_info.CoreClock;
gpu_info.MemClock = nvctrl_info.MemClock;
gpu_info.powerUsage = 0;
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gpu_info.memoryTotal = nvctrl_info.memoryTotal;
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return;
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}
#endif
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#ifdef _WIN32
nvapi_util();
#endif
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}
void getAmdGpuInfo(){
int64_t value = 0;
if (metrics_path.empty()){
if (amdgpu.busy) {
rewind(amdgpu.busy);
fflush(amdgpu.busy);
int value = 0;
if (fscanf(amdgpu.busy, "%d", &value) != 1)
value = 0;
gpu_info.load = value;
}
if (amdgpu.core_clock) {
rewind(amdgpu.core_clock);
fflush(amdgpu.core_clock);
if (fscanf(amdgpu.core_clock, "%" PRId64, &value) != 1)
value = 0;
gpu_info.CoreClock = value / 1000000;
}
if (amdgpu.memory_clock) {
rewind(amdgpu.memory_clock);
fflush(amdgpu.memory_clock);
if (fscanf(amdgpu.memory_clock, "%" PRId64, &value) != 1)
value = 0;
gpu_info.MemClock = value / 1000000;
}
if (amdgpu.power_usage) {
rewind(amdgpu.power_usage);
fflush(amdgpu.power_usage);
if (fscanf(amdgpu.power_usage, "%" PRId64, &value) != 1)
value = 0;
gpu_info.powerUsage = value / 1000000;
}
}
if (amdgpu.vram_total) {
rewind(amdgpu.vram_total);
fflush(amdgpu.vram_total);
if (fscanf(amdgpu.vram_total, "%" PRId64, &value) != 1)
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value = 0;
gpu_info.memoryTotal = float(value) / (1024 * 1024 * 1024);
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}
if (amdgpu.vram_used) {
rewind(amdgpu.vram_used);
fflush(amdgpu.vram_used);
if (fscanf(amdgpu.vram_used, "%" PRId64, &value) != 1)
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value = 0;
gpu_info.memoryUsed = float(value) / (1024 * 1024 * 1024);
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}
// On some GPUs SMU can sometimes return the wrong temperature.
// As HWMON is way more visible than the SMU metrics, let's always trust it as it is the most likely to work
if (amdgpu.temp){
rewind(amdgpu.temp);
fflush(amdgpu.temp);
int value = 0;
if (fscanf(amdgpu.temp, "%d", &value) != 1)
value = 0;
gpu_info.temp = value / 1000;
}
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}