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[Executor] Default use CUDAGraph (#3594)

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* 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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2025-10-21 14:25:45 +08:00
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parent 99564349a7
commit 775edcc09a
32 changed files with 417 additions and 144 deletions
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docs/parameters.md
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@@ -37,9 +37,9 @@ When using FastDeploy to deploy models (including offline inference and service
| ```long_prefill_token_threshold``` | `int` | When Chunked Prefill is enabled, requests with token count exceeding this value are considered long requests, default: max_model_len*0.04 |
| ```static_decode_blocks``` | `int` | During inference, each request is forced to allocate corresponding number of blocks from Prefill's KVCache for Decode use, default: 2 |
| ```reasoning_parser``` | `str` | Specify the reasoning parser to extract reasoning content from model output |
| ```use_cudagraph``` | `bool` | Whether to use cuda graph, default False. It is recommended to read [graph_optimization.md](./features/graph_optimization.md) carefully before opening. Custom all-reduce needs to be enabled at the same time in multi-card scenarios. |
| ```graph_optimization_config``` | `dict[str]` | Can configure parameters related to calculation graph optimization, the default value is'{"use_cudagraph":false, "graph_opt_level":0, "cudagraph_capture_sizes": null }'，Detailed description reference [graph_optimization.md](./features/graph_optimization.md)|
| ```enable_custom_all_reduce``` | `bool` | Enable Custom all-reduce, default: False |
| ```use_cudagraph``` | `bool` | __[DEPRECATED]__ CUDAGraph is enabled by default since version 2.3. It is recommended to read [graph_optimization.md](./features/graph_optimization.md) carefully before opening. |
| ```graph_optimization_config``` | `dict[str]` | Can configure parameters related to calculation graph optimization, the default value is'{"use_cudagraph":true, "graph_opt_level":0}'，Detailed description reference [graph_optimization.md](./features/graph_optimization.md)|
| ```disable_custom_all_reduce``` | `bool` | Disable Custom all-reduce, default: False |
| ```splitwise_role``` | `str` | Whether to enable splitwise inference, default value: mixed, supported parameters: ["mixed", "decode", "prefill"] |
| ```innode_prefill_ports``` | `str` | Internal engine startup ports for prefill instances (only required for single-machine PD separation), default: None |
| ```guided_decoding_backend``` | `str` | Specify the guided decoding backend to use, supports `auto`, `xgrammar`, `off`, default: `off` |