关于cv:NVIDIA-CUDA-onnxruntime-版本依赖问题

29次阅读

共计 864 个字符,预计需要花费 3 分钟才能阅读完成。

Table 1. CUDA Toolkit and Compatible Driver Versions
CUDA Toolkit Linux x86_64 Driver Version
CUDA 11.2 >= 450.80.02
CUDA 11.1 (11.1.0) >= 450.80.02
CUDA 11.0 (11.0.3) >= 450.36.06
CUDA 10.2 (10.2.89) >= 440.33
CUDA 10.1 (10.1.105) >= 418.39
CUDA 10.0 (10.0.130) >= 410.48
CUDA 9.2 (9.2.88) >= 396.26
CUDA 9.1 (9.1.85) >= 390.46
CUDA 9.0 (9.0.76) >= 384.81
CUDA 8.0 (8.0.61 GA2) >= 375.26
CUDA 8.0 (8.0.44) >= 367.48
CUDA 7.5 (7.5.16) >= 352.31
CUDA 7.0 (7.0.28) >= 346.46

https://docs.nvidia.com/deplo…

onnxruntime-gpu 版本依赖

ONNX Runtime CUDA cuDNN Notes
1.7 11.0.3 8.0.4 (Linux)
8.0.2.39 (Windows) libcudart 11.0.221
libcufft 10.2.1.245
libcurand 10.2.1.245
libcublasLt 11.2.0.252
libcublas 11.2.0.252
libcudnn 8.0.4
1.5-1.6 10.2 8.0.3 CUDA 11 can be built from source
1.2-1.4 10.1 7.6.5 Requires cublas10-10.2.1.243; cublas 10.1.x will not work
1.0-1.1 10.0 7.6.4 CUDA versions from 9.1 up to 10.1, and cuDNN versions from 7.1 up to 7.4 should also work with Visual Studio 2017

https://www.onnxruntime.ai/do…

正文完
 0