Jinyang Yuan 1128dc2a5a perf: Use pinned H2D to reduce bubbles (#3147) ... Signed-off-by: Jinyang Yuan <154768711+jinyangyuan-nvidia@users.noreply.github.com>		2025-04-04 22:23:10 +08:00
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attention_backend	perf: Use pinned H2D to reduce bubbles (#3147)	2025-04-04 22:23:10 +08:00
auto_deploy	fix: Fix an error related to dummy request when MTP is used (#3146)	2025-04-03 11:08:12 +08:00
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	fix vila test (#3042)	2025-04-04 14:30:06 +08:00
modules	Fix warning (#3254)	2025-04-03 13:30:23 +08:00
pyexecutor	perf: Use pinned H2D to reduce bubbles (#3147)	2025-04-04 22:23:10 +08:00
speculative	perf: Use pinned H2D to reduce bubbles (#3147)	2025-04-04 22:23:10 +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