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attention_backend
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feat: Custom masking utils for Gemma3 VLM (#5853)
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2025-07-10 06:18:04 +09:00 |
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auto_deploy
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[refactor] Simplification of Speculative decoding configs (#5639)
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2025-07-10 11:37:30 -04:00 |
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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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[TRTLLM-6100] fix: Nvbug 5356427: autotuned TRTLLM Gen fp8 block scale MoE illegal memory access (#5676)
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2025-07-14 17:17:30 +08:00 |
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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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[refactor] Move vision parts from processor to model for Gemma3 (#5888)
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2025-07-11 15:13:51 -07:00 |
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modules
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[NvBug 5378370] fix: Fix alltoall for llama4 (apply_router_weight_on_input=True) (#5902)
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2025-07-12 15:50:31 +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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fix: set allreduce strategy to model config (#5955)
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2025-07-14 17:59:11 +09:00 |
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shared_tensor
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[1/N][TRTLLM-5195][feat] Share PyTorch tensor between processes (#5396)
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2025-07-10 05:12:53 +09:00 |
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speculative
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[fix] Remove SpecConfig and fix thread leak issues (#5931)
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2025-07-12 21:03:24 +09:00 |
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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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[refactor] Simplification of Speculative decoding configs (#5639)
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2025-07-10 11:37:30 -04:00 |
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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 |
