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attention_backend
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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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auto_deploy
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refactor: Introduce ResourceManagerType enum for resource management (#5246)
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2025-06-18 09:55:59 +02:00 |
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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-5589] feat: Minor optimizations for tunable FP8 batched GEMM op. (#5139)
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2025-06-18 14:33:46 +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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Refactor CutlassFusedMoE (#5344)
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2025-06-19 00:04:07 -07:00 |
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modules
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Refactor CutlassFusedMoE (#5344)
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2025-06-19 00:04:07 -07:00 |
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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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feat: Add LLGuidance Support for PyTorch Backend (#5214)
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2025-06-18 19:33:34 +08:00 |
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speculative
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Speculation: Draft Target in new FW (#4558)
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2025-06-17 02:26:08 +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-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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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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chore: partition LLM class into TorchLLM and TrtLLM (#4900)
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2025-06-18 14:01:25 +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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[TRTLLM-5825][fix] Fix torch LoRA TP (#5338)
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2025-06-19 09:12:00 +03:00 |
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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 |
