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Build debugging infrastructure before chasing compiler or conversion flakes

Intermittent pass failures are expensive when the only artifact is a top-level crash or vague error string. A reusable approach is to capture IR snapshots around failing passes, emit structured diagnostics, and provide an automated reduction path so engineers

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Summary#

Intermittent pass failures are expensive when the only artifact is a top-level crash or vague error string. A reusable approach is to capture IR snapshots around failing passes, emit structured diagnostics, and provide an automated reduction path so engineers can shrink failures into reproducible test cases instead of debugging production-sized inputs blind.

Problem#

Compiler and model-conversion pipelines fail inside many-pass transformations, but the failing intermediate state is often discarded, making root cause analysis slow and non-repeatable.

Solution#

Add pass instrumentation that records pre/post IR, structured failure reports, timing, verification hooks, and a reducer tool/script that turns crashing workloads into minimal reproducers.

Failure Modes#

  • Logging only the final exception without preserving intermediate IR
  • Producing debug dumps with no stable directory or schema for downstream tooling
  • Relying on manual repro creation instead of automated reduction

Sources#

  • https://github.com/tensorflow/tensorflow/pull/126487
  • https://github.com/tensorflow/tensorflow/pull/126555
  • https://github.com/tensorflow/tensorflow/pull/126539
  • https://github.com/tensorflow/tensorflow/pull/126482
  • https://github.com/tensorflow/tensorflow/pull/126535
  • https://github.com/tensorflow/tensorflow/pull/126489
  • https://github.com/tensorflow/tensorflow/pull/126002
  • https://github.com/tensorflow/tensorflow/pull/126485
  • https://github.com/tensorflow/tensorflow/pull/126479
  • https://github.com/tensorflow/tensorflow/pull/126469
  • https://github.com/tensorflow/tensorflow/pull/126478
  • https://github.com/tensorflow/tensorflow/pull/126231
  • https://github.com/tensorflow/tensorflow/pull/126513
  • https://github.com/tensorflow/tensorflow/pull/126249
  • https://github.com/tensorflow/tensorflow/pull/125480
  • https://github.com/huggingface/transformers/pull/46825
  • https://github.com/huggingface/transformers/pull/48262
  • https://github.com/huggingface/transformers/pull/48368
  • https://github.com/huggingface/transformers/pull/47432
  • https://github.com/huggingface/transformers/pull/48406
  • https://github.com/huggingface/transformers/pull/48440
  • https://github.com/huggingface/transformers/pull/47793
  • https://github.com/huggingface/transformers/pull/48438
  • https://github.com/huggingface/transformers/pull/48228
  • https://github.com/huggingface/transformers/pull/47511
  • https://github.com/huggingface/transformers/pull/47367
  • https://github.com/huggingface/transformers/pull/48444
  • https://github.com/microsoft/ML-For-Beginners/pull/1002
  • https://github.com/microsoft/ML-For-Beginners/pull/1001
  • https://github.com/microsoft/ML-For-Beginners/pull/1000
  • https://github.com/microsoft/ML-For-Beginners/pull/994
  • https://github.com/microsoft/ML-For-Beginners/pull/991
  • https://github.com/ClickHouse/ClickHouse/pull/116899
  • https://github.com/ClickHouse/ClickHouse/pull/107639
  • https://github.com/ClickHouse/ClickHouse/pull/113156
  • https://github.com/ClickHouse/ClickHouse/pull/117472
  • https://github.com/ClickHouse/ClickHouse/pull/117303
  • https://github.com/ClickHouse/ClickHouse/pull/117412
  • https://github.com/ClickHouse/ClickHouse/pull/117304
  • https://github.com/ClickHouse/ClickHouse/pull/117086
  • https://github.com/ClickHouse/ClickHouse/pull/117491
  • https://github.com/ClickHouse/ClickHouse/pull/117493
  • https://github.com/ClickHouse/ClickHouse/pull/117492
  • https://github.com/rustfs/rustfs/pull/7008
  • https://github.com/rustfs/rustfs/pull/7006
  • https://github.com/rustfs/rustfs/pull/7005
  • https://github.com/rustfs/rustfs/pull/7004
  • https://github.com/rustfs/rustfs/pull/6978
  • https://github.com/rustfs/rustfs/pull/6997
  • https://github.com/rustfs/rustfs/pull/6994
  • https://github.com/rustfs/rustfs/pull/6992
  • https://github.com/rustfs/rustfs/pull/6991
  • https://github.com/rustfs/rustfs/pull/6988
  • https://github.com/rustfs/rustfs/pull/7007
  • https://github.com/rustfs/rustfs/pull/6974
  • https://github.com/rustfs/rustfs/pull/6983
  • https://github.com/rustfs/rustfs/pull/6998
  • mined_at: 2026-09-01T12:03:51Z

Sagwan Revalidation 2026-09-01T12:41:53Z#

  • verdict: ok
  • note: 일반적 디버깅 인프라 권장안으로 현재 practice와 충돌 없음

Sagwan Revalidation 2026-09-07T17:00:55Z#

  • verdict: ok
  • note: [chatgpt HTTP 404] {

Sagwan Revalidation 2026-09-10T05:42:50Z#

  • verdict: ok
  • note: [chatgpt HTTP 404] {

Sagwan Revalidation 2026-09-12T23:41:43Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 원칙은 컴파일러/변환 파이프라인 디버깅의 불변 관행이며 소스 PR들도 역사적 증거로 여전히 유효하다.

Sagwan Revalidation 2026-09-16T16:45:43Z#

  • verdict: ok
  • note: 디버깅 인프라 우선 원칙은 여전히 유효하며 최근 관행과 충돌 없음

Sagwan Revalidation 2026-09-19T11:32:39Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 권장은 여전히 유효함

Sagwan Revalidation 2026-09-28T00:45:51Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 권장은 여전히 유효하며 변경할 근거가 없음

Sagwan Revalidation 2026-10-02T05:08:58Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 권장은 여전히 유효하며 변경 근거가 없다.

Sagwan Revalidation 2026-10-05T02:48:07Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 권장은 여전히 유효하며 변경 근거가 없다.

Sagwan Revalidation 2026-10-08T03:14:33Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 권장은 여전히 유효하며, 변경이 필요한 모순은 없다.

Sagwan Revalidation 2026-10-10T23:16:13Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 권장은 여전히 유효하며, 본문에 모순이나 갱신할 수치는 없다.

Sagwan Revalidation 2026-10-13T16:40:55Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 권장은 여전히 유효하며, 본문에 갱신이 필요한 수치나 모순이 없다.

Sagwan Revalidation 2026-10-16T13:54:43Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 권장은 여전히 유효하며, 갱신할 수치나 모순이 없다.

Sagwan Revalidation 2026-10-19T10:15:54Z#

  • verdict: ok
  • note: IR 스냅샷·구조화 진단·자동 축소 권장은 여전히 유효하며, 갱신할 수치나 모순이 없다.

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