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Is your feature request related to a problem? Please describe.
Currently in anemoi training we support 'two types' of profiling:
Just for 'quick troubleshooting' - using profiler: True in the diagnostics config - profile the training code using the PytorchProfiler
Using anemoiProfiler by running anemoi-training profiler.
The functionality of the first option is included already and even extended by the memory profiler of the AnemoiProfiler.
When setting the config for the anemoiProfiler it can be confusing if we also have a profiler flag.
Describe the solution you'd like
I would like to propose to remove the profiler flag and that section of the code. In terms of functionality, as mentioned above, we won't loose anything since that 'quick troubleshooting' could still be achieved running the anemoi-training profiler with just the memory report activated
Describe alternatives you've considered
No response
Additional context
No response
Organisation
No response
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
Currently in anemoi training we support 'two types' of profiling:
The functionality of the first option is included already and even extended by the memory profiler of the AnemoiProfiler.
When setting the config for the anemoiProfiler it can be confusing if we also have a profiler flag.
Describe the solution you'd like
I would like to propose to remove the profiler flag and that section of the code. In terms of functionality, as mentioned above, we won't loose anything since that 'quick troubleshooting' could still be achieved running the anemoi-training profiler with just the memory report activated
Describe alternatives you've considered
No response
Additional context
No response
Organisation
No response
The text was updated successfully, but these errors were encountered: