GPU

 [inputs.gpu_smi.tags]
  # some_tag = "some_value"
  # more_tag = "some_other_value"
  # ...

[[inputs.prom]]
  ## Exporter URLs
  urls = ["http://127.0.0.1:9400/metrics"]

  ## Error ignoring request to url
  ignore_req_err = false

  ## Collector alias
  source = "dcgm"

  ## Collection data output source
  ## Configure this to write collected data to a local file instead of typing the data to the center
  ## You can debug the locally saved metric set directly with the datakit debug --prom-conf /path/to/this/conf command
  ## If url has been configured as the local file path, then --prom-conf takes precedence over debugging the data in the output path
  # output = "/abs/path/to/file"

  ## Maximum size of data collected in bytes
  ## When outputting data to a local file, you can set the upper limit of the size of the collected data
  ## If the size of the collected data exceeds this limit, the collected data will be discarded
  ## The maximum size of collected data is set to 32MB by default
  # max_file_size = 0

  ## Metrics type filtering, optional values are counter, gauge, histogram, summary and untyped
  ## Only counter and gauge metrics are collected by default
  ## If empty, no filtering is performed
  # metric_types = ["counter", "gauge"]

  ## Metric Name Filter: Eligible metrics will be retained
  ## Support regular can configure more than one, that is, satisfy one of them
  ## If blank, no filtering is performed and all metrics are retained
  # metric_name_filter = ["cpu"]

  ## Measurement name prefix
  ## Configure this to prefix the measurement name
  measurement_prefix = "gpu_"

  ## Measurement name
  ## By default, the measurement name will be cut with an underscore "_". The first field after cutting will be the measurement name, and the remaining fields will be the current metric name
  ## If measurement_name is configured, the metric name is not cut
  ## The final measurement name is prefixed with measurement_prefix
  measurement_name = "dcgm"

  ## TLS configuration
  # tls_open = false
  # tls_ca = "/tmp/ca.crt"
  # tls_cert = "/tmp/peer.crt"
  # tls_key = "/tmp/peer.key"

  ## Set to true to turn on election
  election = true

  ## Filter tags, configurable multiple tags
  ## Matching tags will be ignored, but the corresponding data will still be reported
  # tags_ignore = ["xxxx"]

  ## Custom authentication method, currently only supports Bearer Token
  ## token and token_file: Just configure one of them
  # [inputs.prom.auth]
    # type = "bearer_token"
    # token = "xxxxxxxx"
    # token_file = "/tmp/token"

  ## Custom measurement name
  ## You can group metrics that contain the prefix prefix into one measurement
  ## Custom measurement name configuration priority measurement_name Configuration Items
  # [[inputs.prom.measurements]]
    # prefix = "cpu_"
    # name = "cpu"

  # [[inputs.prom.measurements]]
    # prefix = "mem_"
    # name = "mem"

  ## For data that matches the following tag, discard the data and do not collect it
  # [inputs.prom.ignore_tag_kv_match]
    # key1 = [ "val1.*", "val2.*"]
    # key2 = [ "val1.*", "val2.*"]

  ## Add additional request headers to HTTP requests for data fetches
  ## Example basic authentication
  # [inputs.prom.http_headers]
    # Authorization = “Basic bXl0b21jYXQ="

  ## Rename tag key in prom data
  [inputs.prom.tags_rename]
    overwrite_exist_tags = false
    [inputs.prom.tags_rename.mapping]
    Hostname = "host"
    # tag1 = "new-name-1"
    # tag2 = "new-name-2"
    # tag3 = "new-name-3"

  ## Call the collected metrics to the center as logs
  ## When the service field is left blank, the service tag is set to measurement name
  [inputs.prom.as_logging]
    enable = false
    service = "service_name"

  ## Customize Tags
  # [inputs.prom.tags]
    # some_tag = "some_value"
    # more_tag = "some_other_value"