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attention_backend
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[feat] Optimize KV Cache Reuse for MLA (#4869)
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2025-06-13 11:03:05 +08:00 |
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auto_deploy
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fix: build_config in TorchLlmArgs and avoid arbitrary args (#4972)
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2025-06-15 17:51:56 -07:00 |
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compilation
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Feat/ds r1 min latency opt round3, add router gemm, fused a gemm, PDL (#4560)
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2025-06-14 17:36:22 +08:00 |
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custom_ops
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Feat/ds r1 min latency opt round3, add router gemm, fused a gemm, PDL (#4560)
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2025-06-14 17:36:22 +08:00 |
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distributed
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Feat/ds r1 min latency opt round3, add router gemm, fused a gemm, PDL (#4560)
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2025-06-14 17:36:22 +08:00 |
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models
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[TRTLLM-4983] feat: enable overlap scheduler between draft forwards (#4802)
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2025-06-15 23:09:16 +08:00 |
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modules
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feat: Enable EPLB to existing MoE models (#5203)
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2025-06-15 11:48:06 +08:00 |
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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: build_config in TorchLlmArgs and avoid arbitrary args (#4972)
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2025-06-15 17:51:56 -07:00 |
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speculative
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[TRTLLM-4983] feat: enable overlap scheduler between draft forwards (#4802)
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2025-06-15 23:09:16 +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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[TRTLLM-5589] feat: Integrate TRT-LLM Gen FP8 Batched GEMM with Pytorch workflow kernel autotuner (#4872)
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2025-06-09 11:02:48 +01:00 |
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expert_statistic.py
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feat: large-scale EP(part 5: Static EP load balancer with offline statistics) (#4695)
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2025-06-02 01:25:02 +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: large-scale EP(part 7: DeepEP integration) (#4792)
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2025-06-14 19:12:38 +08:00 |
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utils.py
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feat: Enhance AutoTuner inference path and code readability (#4466)
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2025-06-04 10:53:11 +08:00 |
