wget https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl -O torch-1.8.0-cp36-cp36m-linux_aarch64.whl
sudo apt-get install python3-pip libopenblas-base libopenmpi-dev
pip3 install Cython
pip3 install numpy torch-1.7.0-cp36-cp36m-linux_aarch64.whl
2021-03-25 17:00:17
239.72MB
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torch-1.6.0-cp36-cp36m-win_amd64.whl
2021-03-24 16:03:31
192.84MB
1
tensorflow_gpu-2.4.1-cp36-cp36m-win_amd64.whl，本文件为python3.6版本对应的tensorlow的gpu版本的轮子文件，可以通过pip 安装
2021-03-22 19:12:47
353.49MB
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pyTorch v1.7.0
JetPack 4.4 (L4T R32.4.3) / JetPack 4.4.1 (L4T R32.4.4)
Python 3.6 - torch-1.7.0-cp36-cp36m-linux_aarch64.whl
查看自己jetpack版本：
sudo jtop
安装步骤：sudo pip3 install torch-1.7.0-cp36-cp36m-linux_aarch64.whl
2021-03-22 15:06:47
239.67MB
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jetson linux-aarch64架构的可以用
2021-03-18 19:00:57
9.39MB
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tensorflow-1.9.0-cp36-cp36m-win_amd64.whl 支持python3.6，亲测好使
安装后不会出现Your CPU supports instructions that this TensorFlow binary was not compiled to use:AVX2的警告
2021-03-17 22:22:47
34.29MB
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https://download.pytorch.org/whl/torch_stable.html。
2021-03-17 20:19:53
675.24MB
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pip3 install onnx-1.3.0-cp36-cp36m-linux_aarch64.whl
2021-03-16 16:25:24
3.23MB
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用pip安装scikit_learn库的时候无法选择0.23版本，需下载到本地，然后进行安装。
进入到anaconda的scripts目录下
pip install scikit_learn-0.23.1-cp36-cp36m-win_amd64.whl
2021-03-15 18:39:42
6.45MB
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