MangoHud/src/amdgpu.cpp

#include <spdlog/spdlog.h>
#include <thread>
#include "amdgpu.h"
#include "gpu.h"
#include "cpu.h"
#include "overlay.h"

#define METRICS_UPDATE_PERIOD_MS 500
#define METRICS_POLLING_PERIOD_MS 5
#define METRICS_SAMPLE_COUNT (METRICS_UPDATE_PERIOD_MS/METRICS_POLLING_PERIOD_MS)

std::string metrics_path = "";

/* This structure is used to communicate the latest values of the amdgpu metrics.
 * The direction of communication is amdgpu_polling_thread -> amdgpu_get_metrics().
 */
struct amdgpu_common_metrics {
	/* Load level: averaged across the sampling period */
	uint8_t gpu_load_percent;
	// uint8_t mem_load_percent;

	/* Power usage: averaged across the sampling period */
	float average_gfx_power_w;
	float average_cpu_power_w;

	/* Clocks: latest value of the clock */
	uint16_t current_gfxclk_mhz;
	uint16_t current_uclk_mhz;

	/* Temperatures: maximum values over the sampling period */
	uint16_t soc_temp_c;
	uint16_t gpu_temp_c;
	uint16_t apu_cpu_temp_c;

	/* throttling status */
	bool is_power_throttled;
	bool is_current_throttled;
	bool is_temp_throttled;
	bool is_other_throttled;
} amdgpu_common_metrics;

std::mutex amdgpu_common_metrics_m;

bool amdgpu_check_metrics(const std::string& path)
{
    metrics_table_header header {};
    std::ifstream in(path, std::ios_base::binary);
    if (!in.read((char*)&header, sizeof(header)))
    {
        SPDLOG_DEBUG("Failed to read '{}': {}", path, in.eof() ? "End of file" : strerror(errno));
        return false;
    }

    switch (header.structure_size)
    {
        case 80: // v1_0, not naturally aligned
        case 96: // v1_1
        case 104: // v1_2
        case sizeof(gpu_metrics_v1_3): // v2.0, v2.1
        case sizeof(gpu_metrics_v2_2):
            if (header.format_revision == 1 || header.format_revision == 2)
                return true;
        default:
            break;
    }

    SPDLOG_WARN("Unsupported gpu_metrics version: {}.{}", header.format_revision, header.content_revision);
    return false;
}

#define MAX(x, y) (((x) > (y)) ? (x) : (y))
void amdgpu_get_instant_metrics(struct amdgpu_common_metrics *metrics) {
	// Set all the fields to 0 by default
	memset(metrics, 0, sizeof(struct amdgpu_common_metrics));

	if (!metrics_path.empty()){
		struct metrics_table_header header;
		std::ifstream in(metrics_path, std::ios_base::in | std::ios_base::binary);
		in.read((char*)&header, sizeof(header));
		int64_t indep_throttle_status = 0;
		if (header.format_revision == 1) {
			// Desktop GPUs
			cpuStats.cpu_type = "GPU";
			struct gpu_metrics_v1_3 amdgpu_metrics;
			in.clear();
			in.seekg(0);
			in.read((char*)&amdgpu_metrics, sizeof(amdgpu_metrics));

			metrics->gpu_load_percent = amdgpu_metrics.average_gfx_activity;

			metrics->average_gfx_power_w = amdgpu_metrics.average_socket_power;

			metrics->current_gfxclk_mhz = amdgpu_metrics.average_gfxclk_frequency;
			metrics->current_uclk_mhz = amdgpu_metrics.current_uclk;

			metrics->gpu_temp_c = amdgpu_metrics.temperature_edge;
			indep_throttle_status = amdgpu_metrics.indep_throttle_status;
		} else if (header.format_revision == 2) {
			// APUs
			cpuStats.cpu_type = "APU";
			struct gpu_metrics_v2_2 amdgpu_metrics;
			in.clear();
			in.seekg(0);
			in.read((char*)&amdgpu_metrics, sizeof(amdgpu_metrics));

			metrics->gpu_load_percent = amdgpu_metrics.average_gfx_activity;

			metrics->average_gfx_power_w = amdgpu_metrics.average_gfx_power / 1000.f;
			metrics->average_cpu_power_w = amdgpu_metrics.average_cpu_power / 1000.f;

			metrics->current_gfxclk_mhz = amdgpu_metrics.current_gfxclk;
			metrics->current_uclk_mhz = amdgpu_metrics.current_uclk;

			metrics->soc_temp_c = amdgpu_metrics.temperature_soc / 100;
			metrics->gpu_temp_c = amdgpu_metrics.temperature_gfx / 100;
			int cpu_temp = 0;
			for (unsigned i = 0; i < cpuStats.GetCPUData().size() / 2; i++)
				cpu_temp = MAX(cpu_temp, amdgpu_metrics.temperature_core[i]);
			metrics->apu_cpu_temp_c = cpu_temp / 100;
			indep_throttle_status = amdgpu_metrics.indep_throttle_status;
		}

		/* Throttling: See 
		https://elixir.bootlin.com/linux/latest/source/drivers/gpu/drm/amd/pm/inc/amdgpu_smu.h
		for the offsets */ 
		metrics->is_power_throttled = ((indep_throttle_status >> 0) & 0xFF) != 0;
		metrics->is_current_throttled = ((indep_throttle_status >> 16) & 0xFF) != 0;
		metrics->is_temp_throttled = ((indep_throttle_status >> 32) & 0xFFFF) != 0;
		metrics->is_other_throttled = ((indep_throttle_status >> 56) & 0xFF) != 0;
	}
}

#define UPDATE_METRIC_AVERAGE(FIELD) do { int value_sum = 0; for (size_t s=0; s < METRICS_SAMPLE_COUNT; s++) { value_sum += metrics_buffer[s].FIELD; } amdgpu_common_metrics.FIELD = value_sum / METRICS_SAMPLE_COUNT; } while(0)
#define UPDATE_METRIC_MAX(FIELD) do { int cur_max = metrics_buffer[0].FIELD; for (size_t s=1; s < METRICS_SAMPLE_COUNT; s++) { cur_max = MAX(cur_max, metrics_buffer[s].FIELD); }; amdgpu_common_metrics.FIELD = cur_max; } while(0)
#define UPDATE_METRIC_LAST(FIELD) do { amdgpu_common_metrics.FIELD = metrics_buffer[METRICS_SAMPLE_COUNT - 1].FIELD; } while(0)

void amdgpu_metrics_polling_thread() {
	struct amdgpu_common_metrics metrics_buffer[METRICS_SAMPLE_COUNT];
	bool gpu_load_needs_dividing = false;  //some GPUs report load as centipercent

	// Initial poll of the metrics, so that we have values to display as fast as possible
	amdgpu_get_instant_metrics(&amdgpu_common_metrics);

	while (1) {
		// Get all the samples
		for (size_t cur_sample_id=0; cur_sample_id < METRICS_SAMPLE_COUNT; cur_sample_id++) {
			amdgpu_get_instant_metrics(&metrics_buffer[cur_sample_id]);

			// Detect and fix if the gpu load is reported in centipercent
			if (gpu_load_needs_dividing || metrics_buffer[cur_sample_id].gpu_load_percent > 100){
				gpu_load_needs_dividing = true;
				metrics_buffer[cur_sample_id].gpu_load_percent /= 100;
			}

			usleep(METRICS_POLLING_PERIOD_MS * 1000);
		}
		
		// Copy the results from the different metrics to amdgpu_common_metrics
		amdgpu_common_metrics_m.lock();
		UPDATE_METRIC_AVERAGE(gpu_load_percent);
		UPDATE_METRIC_AVERAGE(average_gfx_power_w);
		UPDATE_METRIC_AVERAGE(average_cpu_power_w);

		UPDATE_METRIC_AVERAGE(current_gfxclk_mhz);
		UPDATE_METRIC_AVERAGE(current_uclk_mhz);

		UPDATE_METRIC_MAX(soc_temp_c);
		UPDATE_METRIC_MAX(gpu_temp_c);
		UPDATE_METRIC_MAX(apu_cpu_temp_c);
		UPDATE_METRIC_MAX(is_power_throttled);
		UPDATE_METRIC_MAX(is_current_throttled);
		UPDATE_METRIC_MAX(is_temp_throttled);
		UPDATE_METRIC_MAX(is_other_throttled);
		amdgpu_common_metrics_m.unlock();
	}
}

void amdgpu_get_metrics(){
	static bool init = false;
	if (!init){
		std::thread(amdgpu_metrics_polling_thread).detach();
		init = true;
	}

	amdgpu_common_metrics_m.lock();
	gpu_info.load = amdgpu_common_metrics.gpu_load_percent;

	gpu_info.powerUsage = amdgpu_common_metrics.average_gfx_power_w;

	gpu_info.CoreClock = amdgpu_common_metrics.current_gfxclk_mhz;
	gpu_info.MemClock = amdgpu_common_metrics.current_uclk_mhz;

	gpu_info.temp = amdgpu_common_metrics.gpu_temp_c;
	gpu_info.apu_cpu_power = amdgpu_common_metrics.average_cpu_power_w;
	gpu_info.apu_cpu_temp = amdgpu_common_metrics.apu_cpu_temp_c;

	gpu_info.is_power_throttled = amdgpu_common_metrics.is_power_throttled;
	gpu_info.is_current_throttled = amdgpu_common_metrics.is_current_throttled;
	gpu_info.is_temp_throttled = amdgpu_common_metrics.is_temp_throttled;
	gpu_info.is_other_throttled = amdgpu_common_metrics.is_other_throttled;

	amdgpu_common_metrics_m.unlock();
}