[Profiling] Add python scripts to generate per-op profiling from etdumps

[mcr229]

I've been doing a lot of profiling out in open source, and that generally involves generating an etdump after running the model. I find this script very useful for generating a CSV of the per-op profiling numbers after getting an etdump. Currently the profiling flow looks like this for me:

# Build executor_runner with profiling enabled
cmake --preset profiling
cmake --build cmake-out --target executor_runner

# run and profile my model
./executor_runner --model_path="my_model" --etdump_path="path_to_et_dump"

# generate op profiling .csv from my last run
python devtools/scripts/generate_profiling_csv.py --etdump_path="path_to_et_dump" --output="op_profiling.csv"

This generates some nice CSVs for investigating the per-op profiling times. See some of the commits in this stack for profiling info.

[mcr229]

Stack from ghstack (oldest at bottom):

• [KleidiAI] turn on SME2 by default #13233
• [KleidiAI] Always attempt activation packing #13232
• -> [Profiling] Add python scripts to generate per-op profiling from etdumps #13302
• Add csv and etdump files to gitignore #13301

[pytorch-bot]

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• pull / unittest / linux / linux-job (gh)
  backends/xnnpack/test/ops/test_conv1d.py::TestConv1d::test_qs8_conv1d_batchnorm_seq
• pull / unittest-arm-backend-with-no-fvp (test_pytest_ops) / linux-job (gh)
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• pull / unittest-editable / macos / macos-job (gh)
  backends/xnnpack/test/ops/test_conv1d.py::TestConv1d::test_qs8_conv1d_batchnorm_seq

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[Gasoonjia]

LGTM. Thanks for adding scripts!

Please add some comments and/or a .md file demonstrating how to use your script