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nvidia_smi.go
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package nvidia_smi
import (
"bufio"
"fmt"
"os"
"os/exec"
"strconv"
"strings"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/internal"
"github.com/influxdata/telegraf/plugins/inputs"
)
var (
measurement = "nvidia_smi"
metrics = "fan.speed,memory.total,memory.used,memory.free,pstate,temperature.gpu,name,uuid,compute_mode,utilization.gpu,utilization.memory,index,power.draw,pcie.link.gen.current,pcie.link.width.current,encoder.stats.sessionCount,encoder.stats.averageFps,encoder.stats.averageLatency,clocks.current.graphics,clocks.current.sm,clocks.current.memory,clocks.current.video"
metricNames = [][]string{
{"fan_speed", "integer"},
{"memory_total", "integer"},
{"memory_used", "integer"},
{"memory_free", "integer"},
{"pstate", "tag"},
{"temperature_gpu", "integer"},
{"name", "tag"},
{"uuid", "tag"},
{"compute_mode", "tag"},
{"utilization_gpu", "integer"},
{"utilization_memory", "integer"},
{"index", "tag"},
{"power_draw", "float"},
{"pcie_link_gen_current", "integer"},
{"pcie_link_width_current", "integer"},
{"encoder_stats_session_count", "integer"},
{"encoder_stats_average_fps", "integer"},
{"encoder_stats_average_latency", "integer"},
{"clocks_current_graphics", "integer"},
{"clocks_current_sm", "integer"},
{"clocks_current_memory", "integer"},
{"clocks_current_video", "integer"},
}
)
// NvidiaSMI holds the methods for this plugin
type NvidiaSMI struct {
BinPath string
Timeout internal.Duration
metrics string
}
// Description returns the description of the NvidiaSMI plugin
func (smi *NvidiaSMI) Description() string {
return "Pulls statistics from nvidia GPUs attached to the host"
}
// SampleConfig returns the sample configuration for the NvidiaSMI plugin
func (smi *NvidiaSMI) SampleConfig() string {
return `
## Optional: path to nvidia-smi binary, defaults to $PATH via exec.LookPath
# bin_path = "/usr/bin/nvidia-smi"
## Optional: timeout for GPU polling
# timeout = "5s"
`
}
// Gather implements the telegraf interface
func (smi *NvidiaSMI) Gather(acc telegraf.Accumulator) error {
if _, err := os.Stat(smi.BinPath); os.IsNotExist(err) {
return fmt.Errorf("nvidia-smi binary not at path %s, cannot gather GPU data", smi.BinPath)
}
data, err := smi.pollSMI()
if err != nil {
return err
}
err = gatherNvidiaSMI(data, acc)
if err != nil {
return err
}
return nil
}
func init() {
inputs.Add("nvidia_smi", func() telegraf.Input {
return &NvidiaSMI{
BinPath: "/usr/bin/nvidia-smi",
Timeout: internal.Duration{Duration: 5 * time.Second},
metrics: metrics,
}
})
}
func (smi *NvidiaSMI) pollSMI() (string, error) {
// Construct and execute metrics query
opts := []string{"--format=noheader,nounits,csv", fmt.Sprintf("--query-gpu=%s", smi.metrics)}
ret, err := internal.CombinedOutputTimeout(exec.Command(smi.BinPath, opts...), smi.Timeout.Duration)
if err != nil {
return "", err
}
return string(ret), nil
}
func gatherNvidiaSMI(ret string, acc telegraf.Accumulator) error {
// First split the lines up and handle each one
scanner := bufio.NewScanner(strings.NewReader(ret))
for scanner.Scan() {
tags, fields, err := parseLine(scanner.Text())
if err != nil {
return err
}
acc.AddFields(measurement, fields, tags)
}
if err := scanner.Err(); err != nil {
return fmt.Errorf("Error scanning text %s", ret)
}
return nil
}
func parseLine(line string) (map[string]string, map[string]interface{}, error) {
tags := make(map[string]string, 0)
fields := make(map[string]interface{}, 0)
// Next split up the comma delimited metrics
met := strings.Split(line, ",")
// Make sure there are as many metrics in the line as there were queried.
if len(met) == len(metricNames) {
for i, m := range metricNames {
col := strings.TrimSpace(met[i])
// Handle the tags
if m[1] == "tag" {
tags[m[0]] = col
continue
}
// In some cases we may not be able to get data.
// One such case is when the memory is overclocked.
// nvidia-smi reads the max supported memory clock from the stock value.
// If the current memory clock is greater than the max detected memory clock then we receive [Unknown Error] as a value.
// For example, the stock max memory clock speed on a 2080 Ti is 7000 MHz which nvidia-smi detects.
// The user has overclocked their memory using an offset of +1000 so under load the memory clock reaches 8000 MHz.
// Now when nvidia-smi tries to read the current memory clock it fails and spits back [Unknown Error] as the value.
// This value will break the parsing logic below unless it is accounted for here.
if strings.Contains(col, "[Not Supported]") || strings.Contains(col, "[Unknown Error]") {
continue
}
// Parse the integers
if m[1] == "integer" {
out, err := strconv.ParseInt(col, 10, 64)
if err != nil {
return tags, fields, err
}
fields[m[0]] = out
}
// Parse the floats
if m[1] == "float" {
out, err := strconv.ParseFloat(col, 64)
if err != nil {
return tags, fields, err
}
fields[m[0]] = out
}
}
// Return the tags and fields
return tags, fields, nil
}
// If the line is empty return an emptyline error
return tags, fields, fmt.Errorf("Different number of metrics returned (%d) than expeced (%d)", len(met), len(metricNames))
}