自用轮子
基于 Linux Python3.11 Torch2.7.0+cu128
基于环境：pytorch/pytorch:2.7.0-cuda12.8-cudnn9-devel
下载地址：https://github.com/IAMJOYBO/python_wheel_build/releases
4.7M apex-0.1-cp311-cp311-linux_x86_64.whl
244K custom_rasterizer-0.1.0+torch270.cuda128-cp311-cp311-linux_x86_64.whl
240M flash_attn-2.7.4.post1-cp311-cp311-linux_x86_64.whl
142M nunchaku-0.3.0.dev20250525+torch2.7-cp311-cp311-linux_x86_64.whl
11M sageattention-2.1.1-cp311-cp311-linux_x86_64.whl .-/+oossssoo+/-. root@363d0bdac92f
`:+ssssssssssssssssss+:` -----------------
-+ssssssssssssssssssyyssss+- OS: Ubuntu 22.04.5 LTS x86_64
.ossssssssssssssssssdMMMNysssso. Host: CVM 3.0
/ssssssssssshdmmNNmmyNMMMMhssssss/ Kernel: 5.4.241-1-tlinux4-0017.16
+ssssssssshmydMMMMMMMNddddyssssssss+ Uptime: 8 hours, 40 mins
/sssssssshNMMMyhhyyyyhmNMMMNhssssssss/ Packages: 630 (dpkg)
.ssssssssdMMMNhsssssssssshNMMMdssssssss. Shell: bash 5.1.16
+sssshhhyNMMNyssssssssssssyNMMMysssssss+ Resolution: 1024x768
ossyNMMMNyMMhsssssssssssssshmmmhssssssso Terminal: node
ossyNMMMNyMMhsssssssssssssshmmmhssssssso CPU: AMD EPYC 9K84 (16) @ 2.600GHz
+sssshhhyNMMNyssssssssssssyNMMMysssssss+ GPU: NVIDIA 83:00.0 NVIDIA Corporation Device 2329
.ssssssssdMMMNhsssssssssshNMMMdssssssss. GPU: NVIDIA 23:00.0 NVIDIA Corporation Device 2329
/sssssssshNMMMyhhyyyyhdNMMMNhssssssss/ GPU: NVIDIA a4:00.0 NVIDIA Corporation Device 2329
+sssssssssdmydMMMMMMMMddddyssssssss+ GPU: NVIDIA a3:00.0 NVIDIA Corporation Device 2329
/ssssssssssshdmNNNNmyNMMMMhssssss/ GPU: NVIDIA 34:00.0 NVIDIA Corporation Device 2329
.ossssssssssssssssssdMMMNysssso. GPU: NVIDIA 43:00.0 NVIDIA Corporation Device 2329
-+sssssssssssssssssyyyssss+- GPU: NVIDIA 63:00.0 NVIDIA Corporation Device 2329
`:+ssssssssssssssssss+:` GPU: NVIDIA 33:00.0 NVIDIA Corporation Device 2329
.-/+oossssoo+/-. Memory: 1506MiB / 65536MiB