shaharmor98 5fff8f0935 Add running E2E LoRA flow (#3648) ... * add passing E2E LoRA flow Signed-off-by: Shahar Mor <smor@nvidia.com> * add experimental feature Signed-off-by: Shahar Mor <smor@nvidia.com> * fix llma_args definition Signed-off-by: Shahar Mor <smor@nvidia.com> * decreased manually size of max loras to address OOM Signed-off-by: Shahar Mor <smor@nvidia.com> --------- Signed-off-by: Shahar Mor <smor@nvidia.com>		2025-04-23 11:19:41 +08:00
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attention_backend	feat: Introduce feature properties for attention backend. (#3659)	2025-04-19 12:37:27 +08:00
auto_deploy	feat: [AutoDeploy] generalizing cudagraph to multiple dynamic inputs (#3589)	2025-04-23 03:38:51 +08:00
compilation	Unify two versions of AllReduce custom op (#3032)	2025-04-22 21:58:42 +08:00
custom_ops	Unify two versions of AllReduce custom op (#3032)	2025-04-22 21:58:42 +08:00
distributed	Unify two versions of AllReduce custom op (#3032)	2025-04-22 21:58:42 +08:00
models	Add running E2E LoRA flow (#3648)	2025-04-23 11:19:41 +08:00
modules	Add running E2E LoRA flow (#3648)	2025-04-23 11:19:41 +08:00
peft	Add running E2E LoRA flow (#3648)	2025-04-23 11:19:41 +08:00
pyexecutor	Add running E2E LoRA flow (#3648)	2025-04-23 11:19:41 +08:00
speculative	Support CUDA graphs for EAGLE3 (#3176)	2025-04-17 04:53:50 +08:00
__init__.py	Update TensorRT-LLM (#2755)	2025-02-11 03:01:00 +00:00
autotuner.py	feat: Apply the new torch-flow compatible AutoTuner to both Fused MoE and NVFP4 Linear operators. (#3151)	2025-04-08 14:28:36 +08:00
llm.py	test: [TRTLLM-4334] Create 1.0 criteria scope from API stability references (#3069)	2025-03-26 18:14:35 +08:00
metadata.py	feat: no-cache attention in PyTorch workflow (#3085)	2025-04-05 01:54:32 +08:00
model_config.py	feat: [Deepseek] Add trtllm-gen MOE FP4 MOE backend (#3387)	2025-04-21 10:01:33 +08:00
pipeline_interface.py	Clean up modeling_deepseek.py (#3640)	2025-04-18 17:54:33 -07:00
utils.py	Cache sin cos in model instead of global LRU cache. (#3378)	2025-04-14 11:19:09 +08:00