TensorRT-LLMs/tensorrt_llm/_torch
Jinyang Yuan 992d513bc6
feat: Optionally split MoE inputs into chunks to reduce GPU memory usage (#3104)
Signed-off-by: Jinyang Yuan <154768711+jinyangyuan-nvidia@users.noreply.github.com>
Co-authored-by: raccoonliukai <raccoonliu@tencent.com>
2025-04-01 16:07:02 +08:00
..
attention_backend fix:fix illeagel memory access when mtp >= 2 (#3006) 2025-04-01 13:36:45 +08:00
auto_deploy perf: [AutoDeploy] Enable AutoDeploy as a backend in trtllm-bench (#3041) 2025-03-26 14:33:14 -07:00
compilation None - Add one-shot version for UB AR NORM FP16/BF16 (#2995) 2025-03-31 11:16:03 +08:00
custom_ops Update (#2978) 2025-03-23 16:39:35 +08:00
models feat: Optionally split MoE inputs into chunks to reduce GPU memory usage (#3104) 2025-04-01 16:07:02 +08:00
modules feat: Optionally split MoE inputs into chunks to reduce GPU memory usage (#3104) 2025-04-01 16:07:02 +08:00
pyexecutor feat: Optionally split MoE inputs into chunks to reduce GPU memory usage (#3104) 2025-04-01 16:07:02 +08:00
speculative fix:fix illeagel memory access when mtp >= 2 (#3006) 2025-04-01 13:36:45 +08:00
__init__.py Update TensorRT-LLM (#2755) 2025-02-11 03:01:00 +00:00
autotuner.py Update (#2978) 2025-03-23 16:39:35 +08:00
distributed.py Update (#2978) 2025-03-23 16:39:35 +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 Update TensorRT-LLM (#2936) 2025-03-18 21:25:19 +08:00
model_config.py feat: Optionally split MoE inputs into chunks to reduce GPU memory usage (#3104) 2025-04-01 16:07:02 +08:00
pipeline_interface.py Update (#2978) 2025-03-23 16:39:35 +08:00
utils.py feat: Optionally split MoE inputs into chunks to reduce GPU memory usage (#3104) 2025-04-01 16:07:02 +08:00