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kubeflow / trainer / 24564224178
58%
master: 62%

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Build:
LAST BUILD BRANCH: feat/automate-release
DEFAULT BRANCH: master
Ran 17 Apr 2026 12:10PM UTC
Jobs 1
Files 40
Run time 1min
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17 Apr 2026 12:06PM UTC coverage: 58.057%. Remained the same
24564224178

Pull #3434

github

XploY04
fix(examples): update Megatron tokenizer library to null-text for 0.17.0

megatron-core 0.17.0 (published 2026-04-16 20:22 UTC) tightened the set
of accepted tokenizer library names in MegatronTokenizer.from_pretrained.
The bare "null" value is no longer accepted; the null-tokenizer keys are
now "null-text" and "null-multimodal":

  0.16.1: if library not in ['byte-level', 'null']: assert tokenizer_path
  0.17.0: if library not in ['byte-level', 'null-text', 'null-multimodal']:
              assert tokenizer_path

The notebook's call with metadata_path={"library": "null"} therefore
triggers `AssertionError: Tokenizer path must be specified.` on the GPU
E2E runner, which now installs 0.17.0 by default. Renaming to
"null-text" routes through the same NullTokenizer(vocab_size) library
class the old "null" key used, so behavior is unchanged on 0.17.0.

This explains why GPU E2E ran green on 2026-04-15 (installed 0.16.1)
and started failing with the tokenizer assertion once 0.17.0 landed on
PyPI. The previous commit's 120s -> 600s wait timeout bump is what made
this assertion visible; with the old 120s budget the notebook timed out
before the TrainJob reached Failed and the real error was hidden.

Signed-off-by: XploY04 <2004agarwalyash@gmail.com>
Pull Request #3434: fix(examples): unblock Megatron TP notebook on GPU E2E

2032 of 3500 relevant lines covered (58.06%)

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