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https://github.com/ClusterCockpit/cc-metric-collector.git
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Adding Nvidia NVML collector
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parent
1da906470d
commit
6e7babe084
151
collectors/nvidiaCollector.go
Normal file
151
collectors/nvidiaCollector.go
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@ -0,0 +1,151 @@
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package collectors
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import (
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"errors"
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"fmt"
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"github.com/NVIDIA/go-nvml/pkg/nvml"
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"log"
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"time"
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)
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type NvidiaCollector struct {
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MetricCollector
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num_gpus int
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}
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func (m *NvidiaCollector) Init() error {
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m.name = "NvidiaCollector"
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m.setup()
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m.num_gpus = 0
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ret := nvml.Init()
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if ret != nvml.SUCCESS {
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err := errors.New(nvml.ErrorString(ret))
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log.Print(err)
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return err
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}
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m.num_gpus, ret = nvml.DeviceGetCount()
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if ret != nvml.SUCCESS {
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err := errors.New(nvml.ErrorString(ret))
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return err
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}
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return nil
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}
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func (m *NvidiaCollector) Read(interval time.Duration) {
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for i := 0; i < m.num_gpus; i++ {
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device, ret := nvml.DeviceGetHandleByIndex(i)
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if ret != nvml.SUCCESS {
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log.Fatalf("Unable to get device at index %d: %v", i, nvml.ErrorString(ret))
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return
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}
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base := fmt.Sprintf("gpu%d", i)
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util, ret := nvml.DeviceGetUtilizationRates(device)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_util", base)] = float64(util.Gpu)
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m.node[fmt.Sprintf("%s_mem_util", base)] = float64(util.Memory)
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}
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meminfo, ret := nvml.DeviceGetMemoryInfo(device)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_mem_total", base)] = float64(meminfo.Total) / (1024 * 1024)
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m.node[fmt.Sprintf("%s_fb_memory", base)] = float64(meminfo.Used) / (1024 * 1024)
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}
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temp, ret := nvml.DeviceGetTemperature(device, nvml.TEMPERATURE_GPU)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_temp", base)] = float64(temp)
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}
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fan, ret := nvml.DeviceGetFanSpeed(device)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_fan", base)] = float64(fan)
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}
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_, ecc_pend, ret := nvml.DeviceGetEccMode(device)
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if ret == nvml.SUCCESS {
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switch ecc_pend {
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case nvml.FEATURE_DISABLED:
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m.node[fmt.Sprintf("%s_ecc_mode", base)] = string("OFF")
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case nvml.FEATURE_ENABLED:
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m.node[fmt.Sprintf("%s_ecc_mode", base)] = string("ON")
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default:
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m.node[fmt.Sprintf("%s_ecc_mode", base)] = string("UNKNOWN")
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}
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} else if ret == nvml.ERROR_NOT_SUPPORTED {
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m.node[fmt.Sprintf("%s_ecc_mode", base)] = string("N/A")
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}
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pstate, ret := nvml.DeviceGetPerformanceState(device)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_perf_state", base)] = fmt.Sprintf("P%d", int(pstate))
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}
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power, ret := nvml.DeviceGetPowerUsage(device)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_power_usage_report", base)] = float64(power) / 1000
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}
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gclk, ret := nvml.DeviceGetClockInfo(device, nvml.CLOCK_GRAPHICS)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_graphics_clock_report", base)] = float64(gclk)
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}
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smclk, ret := nvml.DeviceGetClockInfo(device, nvml.CLOCK_SM)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_sm_clock_report", base)] = float64(smclk)
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}
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memclk, ret := nvml.DeviceGetClockInfo(device, nvml.CLOCK_MEM)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_mem_clock_report", base)] = float64(memclk)
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}
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max_gclk, ret := nvml.DeviceGetMaxClockInfo(device, nvml.CLOCK_GRAPHICS)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_max_graphics_clock", base)] = float64(max_gclk)
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}
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max_smclk, ret := nvml.DeviceGetClockInfo(device, nvml.CLOCK_SM)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_max_sm_clock", base)] = float64(max_smclk)
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}
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max_memclk, ret := nvml.DeviceGetClockInfo(device, nvml.CLOCK_MEM)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_max_mem_clock", base)] = float64(max_memclk)
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}
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ecc_db, ret := nvml.DeviceGetTotalEccErrors(device, 1, 1)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_ecc_db_error", base)] = float64(ecc_db)
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}
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ecc_sb, ret := nvml.DeviceGetTotalEccErrors(device, 0, 1)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_ecc_sb_error", base)] = float64(ecc_sb)
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}
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pwr_limit, ret := nvml.DeviceGetPowerManagementLimit(device)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_power_man_limit", base)] = float64(pwr_limit)
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}
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enc_util, _, ret := nvml.DeviceGetEncoderUtilization(device)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_power_man_limit", base)] = float64(enc_util)
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}
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dec_util, _, ret := nvml.DeviceGetDecoderUtilization(device)
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if ret == nvml.SUCCESS {
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m.node[fmt.Sprintf("%s_power_man_limit", base)] = float64(dec_util)
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}
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}
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}
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func (m *NvidiaCollector) Close() {
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nvml.Shutdown()
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return
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}
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