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[https://nvbugs/5451342][fix] Use runtime max_batch_size when cuda_graph_config.max_batch_size is not provided in trtllm-bench #7031

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Merged
merged 3 commits into from
Aug 26, 2025
Merged

[https://nvbugs/5451342][fix] Use runtime max_batch_size when cuda_graph_config.max_batch_size is not provided in trtllm-bench #7031

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cc3beac
use runtime max_batch_size if cuda_graph_config.max_batch_size is not…
jiaganc Aug 19, 2025
93d792d
decrease kvcache fraction to avoid OOM
jiaganc Aug 20, 2025
6c7142f
limit the changes in trtllm-bench to avoid OOM in CI
jiaganc Aug 21, 2025
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6 changes: 5 additions & 1 deletion tensorrt_llm/llmapi/llm_args.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2230,7 +2230,11 @@ def validate_cuda_graph_config(self) -> 'TorchLlmArgs':
else:
config.max_batch_size = max(config.batch_sizes)
else:
max_batch_size = config.max_batch_size or 128
# Use the max batch size from:
# 1. cuda_graph_config.max_batch_size, if provided,
# 2. base_llm_args.max_batch_size, if provided,
# 3. default value 128.
max_batch_size = config.max_batch_size or self.max_batch_size or 128
generated_sizes = CudaGraphConfig._generate_cuda_graph_batch_sizes(
max_batch_size, config.enable_padding)
config.batch_sizes = generated_sizes
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