TensorRT-LLMs/tensorrt_llm/_torch/auto_deploy
yunruis 126cd707e3
[None][opt] Add batch waiting when scheduling (#7416)
Signed-off-by: yunruis <205571022+yunruis@users.noreply.github.com>
Co-authored-by: Tao Li @ NVIDIA <tali@nvidia.com>
2025-09-23 10:27:37 +08:00
..
compile [TRTLLM-6142][feat] AutoDeploy: set torch recompile_limit based on cuda_graph_batch_sizes and refactored (#7219) 2025-09-08 08:45:58 -04:00
config [TRTLLM-6342][feat] Support for partial sharding from factory (#7393) 2025-09-19 09:07:42 -07:00
custom_ops [#7308] [feat] AutoDeploy: graph-less transformers mode for HF (#7635) 2025-09-18 10:44:24 +08:00
distributed [#7308] [feat] AutoDeploy: graph-less transformers mode for HF (#7635) 2025-09-18 10:44:24 +08:00
export [None][chore] Upgrade transformers to 4.56.0 (#7523) 2025-09-22 22:20:16 +08:00
models [#7308] [feat] AutoDeploy: graph-less transformers mode for HF (#7635) 2025-09-18 10:44:24 +08:00
shim [None][opt] Add batch waiting when scheduling (#7416) 2025-09-23 10:27:37 +08:00
transform [TRTLLM-6342][feat] Support for partial sharding from factory (#7393) 2025-09-19 09:07:42 -07:00
transformations [#7308] [feat] AutoDeploy: graph-less transformers mode for HF (#7635) 2025-09-18 10:44:24 +08:00
utils [TRTLLM-6342][feat] Support for partial sharding from factory (#7393) 2025-09-19 09:07:42 -07:00
__init__.py [AutoDeploy] merge feat/ad-2025-07-07 (#6196) 2025-07-23 05:11:04 +08:00
llm_args.py [TRTLLM-6342][feat] Support for partial sharding from factory (#7393) 2025-09-19 09:07:42 -07:00
llm.py [#6120][feat] AutoDeploy: flexible args for sequence interface + AD multi-modal input processor + llama4 VLM example (#7221) 2025-09-05 22:10:48 -04:00