[Executor] Default use CUDAGraph - #3594
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Jiang-Jia-Jun merged 50 commits intoOct 21, 2025
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gongshaotian
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…into start_intercept
…into start_intercept
…into start_intercept
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fastdeploy/model_executor/graph_optimization/utils.py：新增显存 Debug 工具，无须单测 |
| max_model_len: 32768 | ||
| max_num_seqs: 96 | ||
| gpu_memory_utilization: 0.9 | ||
| gpu_memory_utilization: 0.85 |
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gpu_memory_utilization修改 也不会导致性能下降吗？
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gpu_memory_utilization修改 也不会导致性能下降吗？
从测试结果来看是上升的
This was referenced Oct 21, 2025
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May 7, 2026
* add start intercept * Adjustment GraphOptConfig * pre-commit * default use cudagraph * set default value * default use cuda graph * pre-commit * fix test case bug * disable rl * fix moba attention * only support gpu * Temporarily disable PD Disaggregation * set max_num_seqs of test case as 1 * set max_num_seqs and temperature * fix max_num_batched_tokens bug * close cuda graph * success run wint2 * profile run with max_num_batched_tokens * 1.add c++ memchecker 2.success run wint2 * updatee a800 yaml * update docs * 1. delete check 2. fix plas attn test case * default use use_unique_memory_pool * add try-except for warmup * ban mtp, mm, rl * fix test case mock * fix ci bug * fix form_model_get_output_topp0 bug * fix ci bug * refine deepseek ci * refine code * Disable PD * fix sot yaml
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Summary
CUDAGraphandSpeculate DecodingCUDAGraphandMultiModelCUDAGraphandRL trainingCUDAGraphandPD DisaggregationStatic GraphandRL trainingUser interface changes
The
--use-cudagraphstartup parameter is deleted, you can also manually control the CUDAGraph by setting--graph-optimization-config.Detailed description reference graph_optimization.md