dominicshanshan 6345074686 [None][chore] Weekly mass integration of release/1.1 -- rebase (#9522) ... Signed-off-by: yunruis <205571022+yunruis@users.noreply.github.com> Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com> Signed-off-by: Mike Iovine <miovine@nvidia.com> Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com> Signed-off-by: qgai <qgai@nvidia.com> Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com> Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com> Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com> Signed-off-by: Simeng Liu <simengl@nvidia.com> Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com> Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> Signed-off-by: Vincent Zhang <vinczhang@nvidia.com> Signed-off-by: peaceh <103117813+peaceh-nv@users.noreply.github.com> Signed-off-by: Michal Guzek <mguzek@nvidia.com> Signed-off-by: Michal Guzek <moraxu@users.noreply.github.com> Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com> Signed-off-by: leslie-fang25 <leslief@nvidia.com> Signed-off-by: Shunkang <182541032+Shunkangz@users.noreply.github.co> Signed-off-by: junq <22017000+QiJune@users.noreply.github.com> Co-authored-by: yunruis <205571022+yunruis@users.noreply.github.com> Co-authored-by: sunnyqgg <159101675+sunnyqgg@users.noreply.github.com> Co-authored-by: brb-nv <169953907+brb-nv@users.noreply.github.com> Co-authored-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com> Co-authored-by: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com> Co-authored-by: Simeng Liu <109828133+SimengLiu-nv@users.noreply.github.com> Co-authored-by: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com> Co-authored-by: Jin Li <59594262+liji-nv@users.noreply.github.com> Co-authored-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> Co-authored-by: Vincent Zhang <vcheungyi@163.com> Co-authored-by: peaceh-nv <103117813+peaceh-nv@users.noreply.github.com> Co-authored-by: Michal Guzek <moraxu@users.noreply.github.com> Co-authored-by: Chang Liu <9713593+chang-l@users.noreply.github.com> Co-authored-by: Leslie Fang <leslief@nvidia.com> Co-authored-by: Shunkangz <182541032+Shunkangz@users.noreply.github.com> Co-authored-by: Shunkang <182541032+Shunkangz@users.noreply.github.co> Co-authored-by: QI JUN <22017000+QiJune@users.noreply.github.com>		2025-11-29 21:48:48 +08:00
..
fla	[None][feat] Support Qwen3 next (#7892)	2025-09-29 21:16:07 +08:00
fused_moe	[None][chore] Weekly mass integration of release/1.1 -- rebase (#9522)	2025-11-29 21:48:48 +08:00
mamba	[None][fix] enable NvFP4/FP8 quantization for Nemotron-H architecture (#7589)	2025-09-09 11:42:22 +03:00
__init__.py	Update TensorRT-LLM (#2755)	2025-02-11 03:01:00 +00:00
attention.py	[None][perf] Helix: improve all-to-all perf for large CP size (#9494)	2025-11-28 07:24:55 -08:00
decoder_layer.py	chore: Change the type annotations of input_ids and position_ids to int32. (#4632)	2025-06-07 16:10:47 +08:00
embedding.py	[TRTLLM-9293][feat] Enable partial weight loading to support streaming update weights (#9224)	2025-11-26 10:59:06 +08:00
gated_mlp.py	[TRTLLM-9293][feat] Enable partial weight loading to support streaming update weights (#9224)	2025-11-26 10:59:06 +08:00
layer_norm.py	[TRTLLM-9259][perf] Use torch.compile to fuse copy + layernorm within the LayerNorm module (#9052)	2025-11-11 18:11:00 -08:00
linear.py	[TRTLLM-9293][feat] Enable partial weight loading to support streaming update weights (#9224)	2025-11-26 10:59:06 +08:00
logits_processor.py	feat: LogitsProcessor in PyTorch backend (#3145)	2025-05-01 14:15:30 -07:00
mlp.py	feat: add LLmArgs option to force using dynamic quantization (#5346)	2025-07-01 12:16:09 -07:00
multi_stream_utils.py	[None][refactor] Refactor Torch Compile Backend, MoeLoadBalancer and warmup Logic (#6615)	2025-08-19 09:58:44 +08:00
qk_norm_attention.py	[None][feat] Support Yarn on QwQ-32B model (#9059)	2025-11-25 07:27:28 +08:00
rms_norm.py	[None][chore] Refine qwen3-next implementation. (#8064)	2025-09-30 15:05:13 -04:00
rotary_embedding.py	[TRTLLM-7385][feat] Optimize Qwen2/2.5-VL performance (#7250)	2025-09-22 03:40:02 -07:00
swiglu.py	[None][chore] Wrap the swiglu into custom op to avoid redundant device copy. (#7021)	2025-08-27 13:02:10 +08:00
triton_linear.py	[None] [feat] Add model gpt-oss (#6645)	2025-08-07 03:04:18 -04:00