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Claude finished @camiloamoreno's task in 1m 52s —— View job PR Review: [NV] dsr1 fp4 b200 trt agg mtp update
LGTM — no blocking issues found. Validation checklist:
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kedarpotdar-nv
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Feb 6, 2026
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kedarpotdar-nv
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lgtm. this should get picked up after current GPTOSS run is complete
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This PR contains below updates:
Near the top of the benchmark script (L26-35), we enable specific optimizations, mainly differentiating between cases with and without DP attention, including for the choice of MTP aggressiveness.
As in the non-mtp fp4 agg version, we use Piecewise Cuda Graphs (https://nvidia.github.io/TensorRT-LLM/features/torch_compile_and_piecewise_cuda_graph.html) which enables some components to execute thorugh cuda graphs while other components are run eagerly, to gain benefit with lower overhead. We use the formula from the documentation to generate a capture_num_tokens list depending on MAX_NUM_TOKENS.
"cuda graph max batch size" is optimized to match CONC as a natural limit, but reduced to batch_size/4 when DP_ATTENTION is enabled.