[None][test] add test for min_tokens #7678
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📝 WalkthroughWalkthroughAdds a new xfail-marked unit test (test_min_tokens) to verify that min_tokens is enforced during generation with specific SamplingParams in the PyTorch LLM tests. Changes
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🧹 Nitpick comments (3)
tests/unittest/llmapi/test_llm_pytorch.py (3)
861-863: Make xfail strict so CI surfaces the fix when the bug is resolvedEnsure the test flips to XPASS-strict failure once https://nvbugs/5513423 is fixed.
-@pytest.mark.xfail(reason="https://nvbugs/5513423") +@pytest.mark.xfail(reason="https://nvbugs/5513423", strict=True)
865-877: Use context manager to ensure LLM cleanup and mute tqdm noise in test logsAvoid GPU resource leaks and unnecessary progress bars in CI.
llm = LLM(model=llama_model_path, kv_cache_config=global_kvcache_config, enable_mixed_sampler=True, max_seq_len=20000) output_len = 5000 sampling_params = SamplingParams(max_tokens=output_len, min_tokens=output_len, temperature=1) - res = llm.generate("The end.", sampling_params=sampling_params) - - assert len(res.outputs) == 1 - assert len(res.outputs[0].token_ids) == output_len + with llm: + res = llm.generate("The end.", + sampling_params=sampling_params, + use_tqdm=False) + assert len(res.outputs) == 1 + assert len(res.outputs[0].token_ids) == output_len
870-874: Confirm if 5,000 tokens are necessary to reproduce the issue; otherwise lower or mark as slow5k tokens can add noticeable CI time. If a smaller value (e.g., 512 or 1024) still repros, prefer that; otherwise consider marking the test as slow or gating by GPU memory.
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tests/unittest/llmapi/test_llm_pytorch.py (2)
tensorrt_llm/llmapi/llm.py (2)
LLM(1017-1033)generate(237-315)tensorrt_llm/sampling_params.py (1)
SamplingParams(125-486)
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Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
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Description
Adds test coverage for https://nvbugs/5513423.
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