win10+anaconda+RTX3070+tensorflow-gpu deep learning environment construction

1. Install version

Python 3.8.5

tf-nightly-gpu 2.5.0

Anaconda3-2020.11-Windows-x86_64

2. Download Anaconda

Index of /anaconda/archive/ | Tsinghua University Open Source Software Mirror Station | Tsinghua Open Source Mirror

3. Enter the installation command in Anaconda Prompt

conda create -n tensorflow-gpu python=3.8.5

activate tensorflow-gpu

conda install -c conda-forge cudnn

pip install tf-nightly-gpu 

国内镜像安装：

pip install tf-nightly-gpu -i https://pypi.tuna.tsinghua.edu.cn/simple
或者
pip install tensorflow-gpu==2.3.0 --default-timeout=10000 -i https://pypi.doubanio.com/simple

conda install scipy pillow

conda install jupyterlab

conda install scikit-learn

conda install matplotlib (pip install matplotlib)

conda install pandas（conda install openpyxl）

conda install -c conda-forge opencv

conda install -c conda-forge lightgbm

pip install xgboost -i https://pypi.tuna.tsinghua.edu.cn/simple/

pip install SimpleITK -i https://pypi.tuna.tsinghua.edu.cn/simple/

pip install pyradiomics -i https://pypi.tuna.tsinghua.edu.cn/simple/

jupyter notebook

 Note: When the conda installation is too slow, Windows users cannot directly create .condarca file named , they can first execute conda config --set show_channel_urls yesto generate the file and then modify it.

channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

 Run conda clean -ito clear the index cache, and ensure that the index provided by the mirror site is used.

4. Check whether the installation is successful

import tensorflow as tf
print(tf.__version__)
tf.config.list_physical_devices()

Successful installation!