TensorRT-LLMs/cpp/tensorrt_llm/kernels/cutlass_kernels/include
Jinyang Yuan 0a0f93d4a8
[None][fix] Fix the performance issue of FP8 blockwise grouped GEMM when using attention DP (#8501)
Signed-off-by: Jinyang Yuan <154768711+jinyangyuan-nvidia@users.noreply.github.com>
2025-10-27 10:18:19 +08:00
..
allreduce_gemm_runner.h opensource: Opensource MOE MXFP8-MXFP4 implementation (#5222) 2025-06-26 12:18:19 +08:00
common.h [None] [feat] Add model gpt-oss (#6645) 2025-08-07 03:04:18 -04:00
cutlass_kernel_selector.h opensource: Opensource MOE MXFP8-MXFP4 implementation (#5222) 2025-06-26 12:18:19 +08:00
fp4_gemm.h feat: Add w4a8_mxfp4_fp8 quantization recipe. (#4867) 2025-06-16 11:30:57 +08:00
low_latency_gemm.h refactoring: port customized kernels with public cutlass version (#5027) 2025-06-13 16:19:31 +08:00
moe_gemm_kernels.h [TRTLLM-4629] [feat] Add support of CUDA13 and sm103 devices (#7568) 2025-09-16 09:56:18 +08:00
moe_kernels.h [None][fix] Fix the performance issue of FP8 blockwise grouped GEMM when using attention DP (#8501) 2025-10-27 10:18:19 +08:00
moe_util_kernels.h [TRTLLM-7319][perf] Fuse slicing into MoE. (#6728) 2025-08-25 16:52:30 -04:00