cp: qwen gbs 2x (2280) into r0.3.0

[ko3n1g]

beep boop [🤖]: Hi @malay-nagda 👋,

we've cherry picked #2280 into  for you! 🚀

Please review and approve this cherry pick by your convenience!

Summary by CodeRabbit

• Chores
  • Optimized training configuration parameters for improved performance.

[ko3n1g]

/ok to test 623509c

[copy-pr-bot]

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[coderabbitai]

📝 Walkthrough

Walkthrough

The change adds global_batch_size=1024 and moe_flex_dispatcher_backend="deepep" configuration parameters to two QWEN3 30B A3B pretrain configurations (BF16 and FP8 variants) for H100 GPUs.

Changes

Cohort / File(s)	Summary
QWEN3 Configuration Updates scripts/performance/configs/qwen/qwen3_workload_base_configs.py	Added global_batch_size=1024 and moe_flex_dispatcher_backend="deepep" to both QWEN3_30B_A3B_PRETRAIN_CONFIG_H100_BF16_V1 and QWEN3_30B_A3B_PRETRAIN_CONFIG_H100_FP8_CS_V1 replacement configs.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

Possibly related PRs

• PR #2351 — Adds moe_flex_dispatcher_backend="deepep" to the same QWEN3 30B A3B configurations.
• PR #2280 — Adds global_batch_size=1024 to the same two QWEN3 30B A3B pretrain config entries.

Suggested labels

r0.3.0

Suggested reviewers

• malay-nagda

🚥 Pre-merge checks | ✅ 3 | ❌ 2

❌ Failed checks (1 warning, 1 inconclusive)

Check name	Status	Explanation	Resolution
Test Results For Major Changes	⚠️ Warning	PR changes QWEN3 configuration parameters (global_batch_size to 1024, adds deepep MOE dispatcher) without documenting any test results, performance metrics, or convergence validation.	Add performance benchmarks, convergence validation results, and hardware context to PR description to validate configuration changes.
Title check	❓ Inconclusive	The title references a cherry-pick from PR #2280 (qwen gbs 2x) into r0.3.0 branch, which aligns with the changes that add global_batch_size=1024 configurations to QWEN3 configs, but uses an abbreviated, non-descriptive format that doesn't clearly convey the specific changes being made.	Consider using a more descriptive title such as 'Add global_batch_size=1024 and moe_flex_dispatcher_backend configurations to QWEN3 pretrain configs' to clearly communicate the actual changes without relying on issue numbers or abbreviated notation.

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Merge Conflict Detection	✅ Passed	✅ No merge conflicts detected when merging into r0.3.0

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✨ Finishing touches

• 📝 Generate docstrings

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch cherry-pick-2280-r0.3.0

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[ko3n1g]

We updated golden values already, so merging this