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roles/netdata/templates/nvidia_smi.conf.j2
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roles/netdata/templates/nvidia_smi.conf.j2
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# netdata python.d.plugin configuration for nvidia_smi
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#
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# This file is in YaML format. Generally the format is:
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#
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# name: value
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#
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# There are 2 sections:
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# - global variables
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# - one or more JOBS
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#
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# JOBS allow you to collect values from multiple sources.
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# Each source will have its own set of charts.
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#
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# JOB parameters have to be indented (using spaces only, example below).
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# ----------------------------------------------------------------------
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# Global Variables
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# These variables set the defaults for all JOBs, however each JOB
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# may define its own, overriding the defaults.
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# update_every sets the default data collection frequency.
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# If unset, the python.d.plugin default is used.
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# update_every: 1
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# priority controls the order of charts at the netdata dashboard.
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# Lower numbers move the charts towards the top of the page.
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# If unset, the default for python.d.plugin is used.
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# priority: 60000
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# penalty indicates whether to apply penalty to update_every in case of failures.
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# Penalty will increase every 5 failed updates in a row. Maximum penalty is 10 minutes.
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# penalty: yes
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# autodetection_retry sets the job re-check interval in seconds.
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# The job is not deleted if check fails.
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# Attempts to start the job are made once every autodetection_retry.
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# This feature is disabled by default.
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# autodetection_retry: 0
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# ----------------------------------------------------------------------
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# JOBS (data collection sources)
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#
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# The default JOBS share the same *name*. JOBS with the same name
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# are mutually exclusive. Only one of them will be allowed running at
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# any time. This allows autodetection to try several alternatives and
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# pick the one that works.
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#
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# Any number of jobs is supported.
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#
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# All python.d.plugin JOBS (for all its modules) support a set of
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# predefined parameters. These are:
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#
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# job_name:
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# name: myname # the JOB's name as it will appear at the
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# # dashboard (by default is the job_name)
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# # JOBs sharing a name are mutually exclusive
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# update_every: 1 # the JOB's data collection frequency
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# priority: 60000 # the JOB's order on the dashboard
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# penalty: yes # the JOB's penalty
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# autodetection_retry: 0 # the JOB's re-check interval in seconds
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#
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# Additionally to the above, example also supports the following:
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#
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# loop_mode: yes/no # default is yes. If set to yes `nvidia-smi` is executed in a separate thread using `-l` option.
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# poll_seconds: SECONDS # default is 1. Sets the frequency of seconds the nvidia-smi tool is polled in loop mode.
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# exclude_zero_memory_users: yes/no # default is no. Whether to collect users metrics with 0Mb memory allocation.
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#
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# ----------------------------------------------------------------------
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update_every : 5
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loop_mode : yes
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poll_seconds : 5
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exclude_zero_memory_users : yes
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