sudo vi ~/.bashrc 編輯環(huán)境變量
source ./profile 編譯
sudo mv jdk1.8.0_281 /usr/local/java/

先記錄過程，目前還有問題待解決。

export PATH=/usr/local/cuda-10.2/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64\ > ${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

nvcc --version

./pycharm.sh
./pycharm.sh: 218: ./pycharm.sh: /usr/local/java/jdk1.8.0_281/bin/java: Exec format error
java -version
bash: /usr/local/java/jdk1.8.0_281/bin/java: 無法執(zhí)行二進制文件: 可執(zhí)行文件格式錯誤
sudo dpkg -i baidunetdisk_3.5.0_amd64.deb
[sudo] he 的密碼：
dpkg: 處理歸檔 baidunetdisk_3.5.0_amd64.deb (–install)時出錯：
軟件包體系架構(gòu)(amd64)與本機系統(tǒng)體系結(jié)構(gòu)(arm64)不符
在處理時有錯誤發(fā)生：
baidunetdisk_3.5.0_amd64.deb

sudo dpkg --add-architecture amd64 sudo dpkg -i baidunetdisk_3.5.0_amd64.deb

dpkg: 處理軟件包 baidunetdisk:amd64 (–install)時出錯：
依賴關(guān)系問題 - 仍未被配置
正在處理用于 gnome-menus (3.13.3-11ubuntu1.1) 的觸發(fā)器 …
正在處理用于 desktop-file-utils (0.23-1ubuntu3.18.04.2) 的觸發(fā)器 …
正在處理用于 bamfdaemon (0.5.3+18.04.20180207.2-0ubuntu1) 的觸發(fā)器 …
Rebuilding /usr/share/applications/bamf-2.index…
正在處理用于 mime-support (3.60ubuntu1) 的觸發(fā)器 …
正在處理用于 hicolor-icon-theme (0.17-2) 的觸發(fā)器 …
在處理時有錯誤發(fā)生：
baidunetdisk:amd64

pip3 install torch-1.5.0-cp36-cp36m-linux_aarch64.whl
Processing ./torch-1.5.0-cp36-cp36m-linux_aarch64.whl

wget https://nvidia.box.com/shared/static/veo87trfaawj5pfwuqvhl6mzc5b55fbj.whl -O torch-1.1.0a0+b457266-cp36-cp36m-linux_aarch64.whl

he@he-desktop:~/Desktop$ pip3 install torch-1.5.0-cp36-cp36m-linux_aarch64.whl
Processing ./torch-1.5.0-cp36-cp36m-linux_aarch64.whl
Exception:
Traceback (most recent call last):
File “/usr/lib/python3/dist-packages/pip/basecommand.py”, line 215, in main
status = self.run(options, args)
File “/usr/lib/python3/dist-packages/pip/commands/install.py”, line 353, in run
wb.build(autobuilding=True)
File “/usr/lib/python3/dist-packages/pip/wheel.py”, line 749, in build
self.requirement_set.prepare_files(self.finder)
File “/usr/lib/python3/dist-packages/pip/req/req_set.py”, line 380, in prepare_files
ignore_dependencies=self.ignore_dependencies))
File “/usr/lib/python3/dist-packages/pip/req/req_set.py”, line 620, in _prepare_file
session=self.session, hashes=hashes)
File “/usr/lib/python3/dist-packages/pip/download.py”, line 809, in unpack_url
unpack_file_url(link, location, download_dir, hashes=hashes)
File “/usr/lib/python3/dist-packages/pip/download.py”, line 715, in unpack_file_url
unpack_file(from_path, location, content_type, link)
File “/usr/lib/python3/dist-packages/pip/utils/init.py”, line 617, in unpack_file
flatten=not filename.endswith(’.whl’)
File “/usr/lib/python3/dist-packages/pip/utils/init.py”, line 506, in unzip_file
data = zip.read(name)
File “/usr/lib/python3.6/zipfile.py”, line 1338, in read
return fp.read()
File “/usr/lib/python3.6/zipfile.py”, line 858, in read
buf += self._read1(self.MAX_N)
File “/usr/lib/python3.6/zipfile.py”, line 948, in _read1
data = self._decompressor.decompress(data, n)
MemoryError

更新：
通過在32G內(nèi)存卡上一系列失敗操作，最大的感觸是想跑深度學習一定不要用32G！！！！買來64G之后燒錄官方帶有環(huán)境的鏡像，pytorch什么的很快就弄好了！！然后python可以在jupyter里面編輯。總之，64G是對低限度。感覺128G更好…

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