[Misc] Remove pass_config from CompilationConfig dump_json excluded

[elvischenv]

Essential Elements of an Effective PR Description Checklist

• The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
• The test plan, such as providing test command.
• The test results, such as pasting the results comparison before and after, or e2e results
• (Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

Purpose

The motivation is we cannot find the compilation_config.pass_config option from non-default args, that's confusing whether our config is working or not.

before

INFO 07-30 04:45:26 [utils.py:326] non-default args: {'model_tag': 'nvidia/Llama-4-Scout-17B-16E-Instruct-FP8', ..., 'compilation_config': {"level":3, ...,"full_cuda_graph":false,"max_capture_size":null,"local_cache_dir":null}, 'disable_log_requests': True}

after

INFO 07-30 05:57:17 [utils.py:326] non-default args: {'model_tag': 'nvidia/Llama-4-Scout-17B-16E-Instruct-FP8', ..., 'compilation_config': {"level":3, ...,"full_cuda_graph":false,"pass_config":{"enable_fusion":false,"enable_attn_fusion":false,"enable_noop":false,"enable_sequence_parallelism":false,"enable_async_tp":false,"enable_fi_allreduce_fusion":true,"fi_allreduce_fusion_max_token_num":1024},"max_capture_size":null,"local_cache_dir":null}, 'disable_log_requests': True}

Test Plan

Test Result

(Optional) Documentation Update

[gemini-code-assist]

Code Review

This pull request correctly removes pass_config from the exclusion list in CompilationConfig.__repr__, which will now include it in the logged non-default arguments. This is a useful change for debugging and verifying compilation configurations. The minor docstring typo fix is also a good cleanup. The changes are correct and well-motivated.

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[hmellor]

cc @ProExpertProg do we want to include pass_config in the repr?

[nvpohanh]

To add some context: the pass_config has large impact on performance numbers. Currently, we do not know if a non-default pass config is taking effects or not by looking at the logs. If you have other ways to check that please let us know. thanks!

[ProExpertProg]

I think originally @youkaichao removed pass config from repr because it's very verbose. But I agree with new passes that heavily affect the FX graph and performance, we should likely include it

[ProExpertProg]

Perhaps we could either only display the true values or the non-defaults. Not sure what's best here

[nvpohanh]

@elvischenv Is it possible to only show the "non-default" fields in pass_config?

[elvischenv]

Update to only show the non-default flags for pass_config:

before:

INFO 08-04 05:39:52 [utils.py:326] non-default args: {
  ...,
  'compilation_config': {
    "level":3,
    "debug_dump_path":"",
    "cache_dir":"",
    "backend":"",
    "custom_ops":["+rms_norm"],
    "splitting_ops":[],
    "use_inductor":true,
    "compile_sizes":null,
    "inductor_compile_config":{"enable_auto_functionalized_v2":false},
    "inductor_passes":{},
    "use_cudagraph":true,
    "cudagraph_num_of_warmups":0,
    "cudagraph_capture_sizes":null,
    "cudagraph_copy_inputs":false,
    "full_cuda_graph":false,
    "max_capture_size":null,
    "local_cache_dir":null
  }
}

PR:

INFO 08-04 06:18:11 [utils.py:326] non-default args: {
  ...,
  'compilation_config': {
    "level":3,
    "debug_dump_path":"",
    "cache_dir":"",
    "backend":"",
    "custom_ops":["+rms_norm"],
    "splitting_ops":[],
    "use_inductor":true,
    "compile_sizes":null,
    "inductor_compile_config":{"enable_auto_functionalized_v2":false},
    "inductor_passes":{},
    "use_cudagraph":true,
    "cudagraph_num_of_warmups":0,
    "cudagraph_capture_sizes":null,
    "cudagraph_copy_inputs":false,
    "full_cuda_graph":false,
    "pass_config":{"enable_fi_allreduce_fusion":true},
    "max_capture_size":null,
    "local_cache_dir":null
  }
}

[nvpohanh]

@ProExpertProg FYI, @elvischenv has updated it to only print non-defaults. Does it look okay to you? thanks!