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TensorRT-LLMs/tensorrt_llm/_torch
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Dom Brown 44fb3c1673
[TRTLLM-5770] feat: Integrate TRT-LLM Gen FP8 block scale MoE with Pytorch workflow kernel autotuner (#5207) 
- Adds a new Python custom op (fp8_block_scale_moe_runner) and a FP8BlockScaleMoERunner class for autotuning.
- Updates C++ MoE and batched GEMM kernels to accept a configIndex for workspace sizing and execution.
- Extends the unit test to run both autotuned and non-autotuned code paths.

Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com>
2025-06-17 21:01:56 +08:00
..
attention_backend [feat] Piecewise cuda graph support for MLA (#4467) 2025-06-17 18:58:38 +08:00
auto_deploy [TRTLLM-5330] perf: Optimize MoE supplementary kernels for large-scale EP (#5215) 2025-06-17 15:23:24 +08:00
compilation [feat] Piecewise cuda graph support for MLA (#4467) 2025-06-17 18:58:38 +08:00
custom_ops [TRTLLM-5770] feat: Integrate TRT-LLM Gen FP8 block scale MoE with Pytorch workflow kernel autotuner (#5207) 2025-06-17 21:01:56 +08:00
distributed Feat/ds r1 min latency opt round3, add router gemm, fused a gemm, PDL (#4560) 2025-06-14 17:36:22 +08:00
models chore: Mass integration of release/0.20 (#5082) 2025-06-17 14:32:02 +03:00
modules [feat] Piecewise cuda graph support for MLA (#4467) 2025-06-17 18:58:38 +08:00
peft feat: support multi lora adapters and TP (#3885) 2025-05-08 23:45:45 +08:00
pyexecutor [feat] Piecewise cuda graph support for MLA (#4467) 2025-06-17 18:58:38 +08:00
speculative Speculation: Draft Target in new FW (#4558) 2025-06-17 02:26:08 +08:00
__init__.py Update TensorRT-LLM (#2755) 2025-02-11 03:01:00 +00:00
autotuner.py [TRTLLM-5770] feat: Integrate TRT-LLM Gen FP8 block scale MoE with Pytorch workflow kernel autotuner (#5207) 2025-06-17 21:01:56 +08:00
expert_statistic.py feat: large-scale EP(part 5: Static EP load balancer with offline statistics) (#4695) 2025-06-02 01:25:02 +08:00
llm.py test: [TRTLLM-4334] Create 1.0 criteria scope from API stability references (#3069) 2025-03-26 18:14:35 +08:00
metadata.py feat: no-cache attention in PyTorch workflow (#3085) 2025-04-05 01:54:32 +08:00
model_config.py feat: large-scale EP(part 7: DeepEP integration) (#4792) 2025-06-14 19:12:38 +08:00
utils.py feat: Enhance AutoTuner inference path and code readability (#4466) 2025-06-04 10:53:11 +08:00