Corresponding version comparison table between TensorFlow and CUDA, cudnn, Pytorch and NVIDIA graphics cards

Corresponding version comparison table between TensorFlow and CUDA, cudnn, Pytorch and NVIDIA graphics cards

1. TensorFlow corresponding version comparison table

Version Python version translater cuDNN CUDA
tensorflow-2.9.0 3.7-3.10 8.1 11.2
tensorflow-2.8.0 3.7-3.10 8.1 11.2
tensorflow-2.7.0 3.7-3.9 8.1 11.2
tensorflow-2.6.0 3.6-3.9 GCC 7.3.1 8.1 11.2
tensorflow-2.5.0 3.6-3.9 GCC 7.3.1 8.1 11.2
tensorflow-2.4.0 3.6-3.8 GCC 7.3.1 8.0 11.0
tensorflow-2.3.0 3.5-3.8 GCC 7.3.1 7.6 10.1
tensorflow-2.2.0 3.5-3.8 GCC 7.3.1 7.6 10.1
tensorflow-2.1.0 2.7、3.5-3.7 GCC 7.3.1 7.6 10.1
tensorflow-2.0.0 2.7、3.3-3.7 GCC 7.3.1 7.4 10.0
tensorflow_gpu-1.15.0 2.7、3.3-3.7 GCC 7.3.1 7.4 10.0
tensorflow_gpu-1.14.0 2.7、3.3-3.7 GCC 4.8 7.4 10.0
tensorflow_gpu-1.13.1 2.7、3.3-3.7 GCC 4.8 7.4 10.0
tensorflow_gpu-1.12.0 2.7、3.3-3.6 GCC 4.8 7 9
tensorflow_gpu-1.11.0 2.7、3.3-3.6 GCC 4.8 7 9
tensorflow_gpu-1.10.0 2.7、3.3-3.6 GCC 4.8 7 9
tensorflow_gpu-1.9.0 2.7、3.3-3.6 GCC 4.8 7 9
tensorflow_gpu-1.8.0 2.7、3.3-3.6 GCC 4.8 7 9
tensorflow_gpu-1.7.0 2.7、3.3-3.6 GCC 4.8 7 9
tensorflow_gpu-1.6.0 2.7、3.3-3.6 GCC 4.8 7 9
tensorflow_gpu-1.5.0 2.7、3.3-3.6 GCC 4.8 7 9
tensorflow_gpu-1.4.0 2.7、3.3-3.6 GCC 4.8 6 8
tensorflow_gpu-1.3.0 2.7、3.3-3.6 GCC 4.8 6 8
tensorflow_gpu-1.2.0 2.7、3.3-3.6 GCC 4.8 5.1 8
tensorflow_gpu-1.1.0 2.7、3.3-3.6 GCC 4.8 5.1 8
tensorflow_gpu-1.0.0 2.7、3.3-3.6 GCC 4.8 5.1 8

2. Pytorch corresponding version comparison table

PyTorch version CUDA environment
0.4.1、1.2.0、1.4.0、1.5.0(1)、1.6.0、1.7.0(1) 9.2
1.2.0、1.1.0、1.0.0(1) 10.0
1.4.0、1.5.0(1)、1.6.0、1.7.0(1) 10.1
1.5.0(1)、1.6.0、1.7.0(1)、1.8.0(1)、1.9.0、1.10.0 10.2
1.7.0(1) 11.0
1.8.0(1)、1.9.0、1.10.0 11.1
1.8.0(1)、1.9.0、1.10.0 11.3

3. Nvidia Graphics Card Computing Power

CUDA Toolkit Toolkit Driver Version Linux()
CUDA 11.7 Update 1 >=515.65.01
CUDA 11.7 GA >=515.43.04
CUDA 11.6 Update 2 >=510.47.03
CUDA 11.6 Update 1 >=510.47.03
CUDA 11.6 GA >=510.39.01
CUDA 11.5 Update 2 >=495.29.05
CUDA 11.5 Update 1 >=495.29.05
CUDA 11.5 GA >=495.29.05
CUDA 11.4 Update 4 >=470.82.01
CUDA 11.4 Update 3 >=470.82.01
CUDA 11.4 Update 2 >=470.57.02
CUDA 11.4 Update 1 >=470.57.02
CUDA 11.4.0 GA >=470.42.01
CUDA 11.3.1 Update 1 >=465.19.01
CUDA 11.3.0 GA >=465.19.01
CUDA 11.2.2 Update 2 >=460.32.03
CUDA 11.2.1 Update 1 >=460.32.03
CUDA 11.2.0 GA >=460.27.03
CUDA 11.1.1 Update 1 >=455.32
CUDA 11.1 GA >=455.23
CUDA 11.0.3 Update 1 >= 450.51.06
CUDA 11.0.2 GA >= 450.51.05
CUDA 11.0.1 RC >= 450.36.06
CUDA 10.2.89 >= 440.33
CUDA 10.1 (10.1.105 general release, and updates) >= 418.39
CUDA 10.0.130 >= 410.48
CUDA 9.2 (9.2.148 Update 1) >= 396.37
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

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Origin blog.csdn.net/weixin_43279138/article/details/126564080