skleran中忽略FutureWarning警告信息 (2023.07.25)

难度：easy

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import warnings
warnings.filterwarnings("ignore")

忽略FutureWarning警告信息

命令行调用python出现编码错误：UnicodeDecodeError: ‘gbk‘ codec can‘t decode byte 0x9a in position 811(2023.08.12)

难度：easy

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# for line in open(filename, 'r'):
for line in open(filename, 'r', encoding='utf-8'):

命令行调用python出现编码错误：UnicodeDecodeError: ‘gbk‘ codec can‘t decode byte 0x9a in position 140 完美解决！

安装cuda和cudnn,并验证(2023.08.12)

难度：easy

  • 安装版本：
  • cuda：11.2版本 cuda_11.2.0_460.89_win10.exe
  • cudnn：8.9版本(>=8.1即可) cudnn-windows-x86_64-8.9.4.25_cuda11-archive
  • tensorflow-gpu：2.5.0
版本 Python 版本 编译器 构建工具 cuDNN CUDA
tensorflow_gpu-2.6.0 3.6-3.9 MSVC 2019 Bazel 3.7.2 8.1 11.2
tensorflow_gpu-2.5.0 3.6-3.9 MSVC 2019 Bazel 3.7.2 8.1 11.2
tensorflow_gpu-2.4.0 3.6-3.8 MSVC 2019 Bazel 3.1.0 8.0 11.0
tensorflow_gpu-2.3.0 3.5-3.8 MSVC 2019 Bazel 3.1.0 7.6 10.1
tensorflow_gpu-2.2.0 3.5-3.8 MSVC 2019 Bazel 2.0.0 7.6 10.1
tensorflow_gpu-2.1.0 3.5-3.7 MSVC 2019 Bazel 0.27.1-0.29.1 7.6 10.1
tensorflow_gpu-2.0.0 3.5-3.7 MSVC 2017 Bazel 0.26.1 7.4 10
tensorflow_gpu-1.15.0 3.5-3.7 MSVC 2017 Bazel 0.26.1 7.4 10
tensorflow_gpu-1.14.0 3.5-3.7 MSVC 2017 Bazel 0.24.1-0.25.2 7.4 10
tensorflow_gpu-1.13.0 3.5-3.7 MSVC 2015 update 3 Bazel 0.19.0-0.21.0 7.4 10
tensorflow_gpu-1.12.0 3.5-3.6 MSVC 2015 update 3 Bazel 0.15.0 7.2 9.0
tensorflow_gpu-1.11.0 3.5-3.6 MSVC 2015 update 3 Bazel 0.15.0 7 9
tensorflow_gpu-1.10.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.9.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.8.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.7.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.6.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.5.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.4.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 6 8
tensorflow_gpu-1.3.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 6 8
tensorflow_gpu-1.2.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 5.1 8
tensorflow_gpu-1.1.0 3.5 MSVC 2015 update 3 Cmake v3.6.3 5.1 8
tensorflow_gpu-1.0.0 3.5 MSVC 2015 update 3 Cmake v3.6.3 5.1 8

tensorflow中文社区
tensorflow、cuda、cudnn版本对应关系
(详细版本)window10安装CUDA11.0及相应的CUDNN
(粗略版本)机器学习开发环境安装 Tensorflow 2.5.0 + Cuda 11.2 + cudnn 8.1 (windows)
cudnn下载(需要注册会员)
cudnn历史下载(需要注册会员)
cuda 11.2
Could not load dynamic library ‘cublas64_10.dll‘； dlerror: cublas64_10.dll not found或者缺少DLL问题

Could not load dynamic library cudart64_101.dll(2023.08.12)

难度：easy
@轻松解决问题Could not load dynamic library cudart64_101.dll
@下载 CUDART64_101.DLL