Parsing Profile Data

Applicable Products

Function

Parses profile data.

Precautions

None.

Command Format

python3 msprof.py import -dir <dir>

Command-line Options

Example

1. Log in to the environment where the Toolkit package is installed.
2. Switch to the directory where the msprof.py script is located.

   ${INSTALL_DIR}/tools/profiler/profiler_tool/analysis/msprof. Replace ${INSTALL_DIR} with the CANN component directory. For example, if the installation is performed by the root user, the default file storage path is /usr/local/Ascend/cann.

3. Parse the profile data.

   python3 msprof.py import -dir /home/profiler_data/PROF_XXX

   Table 2 Parsing command options

   Option	Description	Required/Optional
   import	Parse profile data in import mode. When the profile data is parsed in the import mode, a .db file is generated even if there is an existing .db file in the original profile data directory.	Required
   --cluster	Parses and summarizes profile data in the cluster scenario. This option is supported only when the import parameter is configured. The -dir parameter specifies the parent directory of PROF_XXX. The parsing result is stored in the sqlite directory generated under PROF_XXX.	This option is mandatory in the cluster scenario.
   -dir, or --collection-dir	Directory of collected profile data. The value must be PROF_XXX or the parent directory of PROF_XXX. Example: /home/profiler_data/PROF_XXX.	Required
   -h or --help	Help information.	Optional

Output Description

After the preceding command is executed and the parsing is complete, the sqlite directory is generated in device_{id} and host directories under PROF_XXX. The sqlite directory contains a .db file (an intermediate result, which can be ignored).

To export the timeline data or .db file of the final result, refer to Exporting Profile Data.