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attention_backend
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feat: Introduce feature properties for attention backend. (#3659)
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2025-04-19 12:37:27 +08:00 |
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auto_deploy
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feat: [AutoDeploy] generalizing cudagraph to multiple dynamic inputs (#3589)
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2025-04-23 03:38:51 +08:00 |
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compilation
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Unify two versions of AllReduce custom op (#3032)
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2025-04-22 21:58:42 +08:00 |
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custom_ops
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Add smart router for moe (#3641)
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2025-04-23 12:21:59 +08:00 |
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distributed
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Unify two versions of AllReduce custom op (#3032)
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2025-04-22 21:58:42 +08:00 |
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models
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Add running E2E LoRA flow (#3648)
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2025-04-23 11:19:41 +08:00 |
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modules
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Add smart router for moe (#3641)
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2025-04-23 12:21:59 +08:00 |
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peft
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Add running E2E LoRA flow (#3648)
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2025-04-23 11:19:41 +08:00 |
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pyexecutor
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Add running E2E LoRA flow (#3648)
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2025-04-23 11:19:41 +08:00 |
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speculative
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fix: remove the unnecessary metadata changes in mtp. (#3787)
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2025-04-23 16:01:28 +08:00 |
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__init__.py
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Update TensorRT-LLM (#2755)
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2025-02-11 03:01:00 +00:00 |
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autotuner.py
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feat: Apply the new torch-flow compatible AutoTuner to both Fused MoE and NVFP4 Linear operators. (#3151)
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2025-04-08 14:28:36 +08:00 |
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llm.py
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test: [TRTLLM-4334] Create 1.0 criteria scope from API stability references (#3069)
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2025-03-26 18:14:35 +08:00 |
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metadata.py
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feat: no-cache attention in PyTorch workflow (#3085)
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2025-04-05 01:54:32 +08:00 |
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model_config.py
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feat: [Deepseek] Add trtllm-gen MOE FP4 MOE backend (#3387)
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2025-04-21 10:01:33 +08:00 |
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pipeline_interface.py
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Clean up modeling_deepseek.py (#3640)
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2025-04-18 17:54:33 -07:00 |
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utils.py
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Cache sin cos in model instead of global LRU cache. (#3378)
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2025-04-14 11:19:09 +08:00 |
