usr/local/cuda-X.Y/lib64, which can be set by running export LD_LIBRARY_PATH=/usr/local/cuda-X.Y/lib64 LD_LIBRARY_PATH must include the path to the CUDA libraries, which for version X.Y of CUDA is normally The deployment plugin’s purpose is to verify the compute environment is ready to run CUDA applicationsĪnd is able to load the NVML library. The NVIDIA Validation Suite consists of a series of plugins that are each designed to accomplish a different goal. The general format of the configuration file is shown below: The DCGM Diagnostics ( dcgmi diag) configuration file is a YAML -formatted text fileĬontrolling the various tests and the execution parameters. Ignores the rest of the labeled arguments Specify a number of iterations of the diagnostic ![]() Stress, and Diagnostic tests when early failureĬhecks are enabled. Disabled by default.Īt which the early failure checks should occurįor the Targeted Power, Targeted Stress, SM Running instead of a single check performed after The –check-interval parameter) while the test is When enabled, these tests check for aįailure once every 5 seconds (can be modified by , Targeted Stress, SM Stress, and Diagnostic Valid throttling reasons and their correspondingĮnable early failure checks for the Targeted Power HW_SLOWDOWN and SW_THERMAL throttling reasons. ForĮxample, specifying ‘40’ would ignore the Alternatively, youĬan specify the integer value of the ignoreīitmask. ,SW_THERMAL’ would ignore the HW_SLOWDOWN and Specify which throttling reasons should be Write the plugin statistics to the given path rather than the currentĭebug level (One of NONE, FATAL, ERROR, WARN, Only output the statistics files if there was a Show information and warnings for each test. For internal/testingĪ comma-separated list of the gpus on which theĭiagnostic should run. Would run the SM Stress and Diagnostic testsĪ comma-separated list of the fake gpus on which Specific tests to run may be specified by name,Īnd multiple tests may be specified as a comma (Note: higher numbered testsĤ - Extended (Longer-running System HW Diagnostics) Started with -d (unix socket), prefix the unix The following table lists the various options supported by DCGM Diagnostics:Ĭonnects to specified IP or fully-qualified domain Whereas detailed changes to execution behavior are contained within the configuration files The various command line options are designed to control general execution parameters, Getting Started with DCGM Diagnostics ¶ Command Line options ¶ Software and hardware configuration issues, basic diagnostics, integration issues, and relative system performance. Integrate the following concepts into a single tool to discover deployment, system Level 3 and Level 4 tests to be run by an administrator as post-mortem Level 2 tests to use as an epilogue on failure Level 1 tests to use as a readiness metric ![]() Provide multiple test timeframes to facilitate different preparedness or failure conditions: Scripted via another tool with easily parseable output. Interactive via an administrator or user in plain text. ![]() Readiness levels before a workload is deployed. Provide a system-level tool, in production environments, to assess cluster ![]() For brevity, the rest of the document may use DCGM Diagnostics and NVVS interchangeably. Is available via the DCGM command-line utility (‘dcgmi’). Running NVVS as a standalone utility is now deprecated and all the functionality (including command line options) The NVIDIA Validation Suite (NVVS) is now called DCGM Diagnostics.
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