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attention_backend
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[TRTLLM-3442] feat: added beam search support to the PyTorch Workflow (#5333)
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2025-07-05 01:35:13 +09:00 |
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auto_deploy
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[TRTLLM-3442] feat: added beam search support to the PyTorch Workflow (#5333)
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2025-07-05 01:35:13 +09:00 |
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compilation
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[feat] Piecewise cuda graph support for MLA (#4467)
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2025-06-17 18:58:38 +08:00 |
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custom_ops
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[https://nvbugspro.nvidia.com/bug/5329655] [feat] Pytorch path add spec dec param to attention op (#5146)
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2025-07-02 04:54:43 -04:00 |
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debug
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Add debug hook to support dump tensor data and add new debug functions easily (#5182)
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2025-06-24 17:45:28 +08:00 |
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distributed
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[feat] Support torch compile for attention dp (#5086)
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2025-07-01 13:48:52 -04:00 |
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models
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fix: Investigate Gemma3 1B decoder output discrepancy (#5564)
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2025-07-04 13:14:13 +08:00 |
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modules
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Add dummy all_reduce for kernel breakdown (#5745)
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2025-07-05 13:08:58 +09:00 |
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peft
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feat: support multi lora adapters and TP (#3885)
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2025-05-08 23:45:45 +08:00 |
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pyexecutor
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refactor: decoding inputs (#5679)
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2025-07-06 08:21:02 +02:00 |
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speculative
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MTP and derivatives: Align sample state with trtllm sampler sample state (#5675)
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2025-07-03 19:55:48 +02:00 |
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__init__.py
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[TRTLLM-5208][BREAKING CHANGE] chore: make pytorch LLM the default (#5312)
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2025-06-20 03:01:10 +08:00 |
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autotuner.py
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[TRTLLM-5770] feat: Integrate TRT-LLM Gen FP8 block scale MoE with Pytorch workflow kernel autotuner (#5207)
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2025-06-17 21:01:56 +08:00 |
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expert_statistic.py
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Add MTP support for Online EPLB (#5213)
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2025-06-25 07:58:13 +08:00 |
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llm.py
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[TRTLLM-5208][BREAKING CHANGE] chore: make pytorch LLM the default (#5312)
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2025-06-20 03:01:10 +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/pytorch vswa kvcachemanager (#5151)
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2025-07-02 15:58:00 +08:00 |
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utils.py
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[feat] Support torch compile for attention dp (#5086)
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2025-07-01 13:48:52 -04:00 |
