cp37-abi3-manylinux_2_26_armv7l cp37-abi3-manylinux_2_25_armv7l cp37-abi3-manylinux_2_24_armv7l...cp37-abi3-manylinux_2_23_armv7l cp37-abi3-manylinux_2_22_armv7l cp37-abi3-manylinux_2_21_armv7l...cp37-abi3-manylinux_2_20_armv7l cp37-abi3-manylinux_2_19_armv7l cp37-abi3-manylinux_2_18_armv7l...cp36-abi3-manylinux_2_26_armv7l cp36-abi3-manylinux_2_25_armv7l cp36-abi3-manylinux_2_24_armv7l...-none-manylinux_2_21_armv7l py3-none-manylinux_2_20_armv7l py3-none-manylinux_2_19_armv7l py3-none-manylinux
编写的部分，所以我们确保发布的二进制包可以支持主流的Linux操作系统，比如CentOS 6以上，Ubuntu 14.04以上，MacOS 10.12以上 PaddlePaddle发布的安装包会尽量对齐 manylinux1...标准（查看链接：https://www.python.org/dev/peps/pep-0513/#the-manylinux1-policy），通常使用CentOS 5作为编译环境。...另外最新的pip官方源中的安装包默认是manylinux1标准，需要使用最新的pip (>9.0.0) 才可以安装。...pypi安装包可以在该链接中找到（https://pypi.python.org/pypi/paddlepaddle/0.10.5） 如果系统支持的是 linux_x86_64 而安装包是 manylinux1..._x86_64 ，需要升级pip版本到最新； 如果系统支持 manylinux1_x86_64 而安装包（本地）是 linux_x86_64 ，可以重命名这个whl包为 manylinux1_x86_64
获取Anaconda3-4.3.1-Linux-x86_64.sh、netCDF4-1.2.7-cp36-cp36m-manylinux1_x86_64.whl、opencv_python-3.2.0.7...-cp36-cp36m-manylinux1_x86_64.whl 1、到/home/python/software目录下： 执行Anaconda3-4.3.1-Linux-x86_64.sh脚本， $...>>> 回车 >>> yes >>> 回车 >>> yes $ source /home/python/.bashrc $ pip install netCDF4-1.2.7-cp36-cp36m-manylinux1..._x86_64.whl $ pip install opencv_python-3.2.0.7-cp36-cp36m-manylinux1_x86_64.whl 2、使用nriet用户配置环境变量： 第一步
_x86_64.whl PillowPILPillow · PyPIPillow-8.4.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64...._x86_64.whl torchvisiontorchvisiontorchvision · PyPItorchvision-0.11.2-cp36-cp36m-manylinux1_x86_64.whl... torchtorchtorch · PyPItorch-1.10.1-cp36-cp36m-manylinux1_x86_64.whl 2、离线安装依赖库和pytorch pip3 install...numpy-1.19.5-cp36-cp36m-manylinux2010_x86_64.whl pip3 install Pillow-8.4.0-cp36-cp36m-manylinux_2_17_...-0.10.1-cp36-cp36m-manylinux1_x86_64.whl pip3 install torchvision-0.11.2-cp36-cp36m-manylinux1_x86_64
packages/16/89/f2d29c2eafc2eeafb17d5634340e06366af904d332341200a49d954bce85/tensorflow-2.3.0-cp37-cp37m-manylinux2010...200 OK Length: 320368291 (306M) [application/octet-stream] Saving to: 'tensorflow-2.3.0-cp37-cp37m-manylinux2010..._x86_64.whl' tensorflow-2.3.0-cp37-cp37m-manylinux2010_x86_64.whl 100%[===================...>] 305.53M 3.68MB/s in 2m 48s 2020-09-10 04:14:33 (1.82 MB/s) - 'tensorflow-2.3.0-cp37-cp37m-manylinux2010...64.whl' saved [320368291/320368291] 下载完成后，使用 pip install 即可 pip install tensorflow-2.3.0-cp37-cp37m-manylinux2010
_x86_64.whl bcrypt-3.1.7-cp34-abi3-manylinux1_x86_64.whl confluent_kafka-1.1.0-cp37-cp37m-manylinux1...安装已有whl文件 $ pip install bcrypt-3.1.7-cp34-abi3-manylinux1_x86_64.whl Processing ..../bcrypt-3.1.7-cp34-abi3-manylinux1_x86_64.whl Requirement already satisfied: cffi>=1.1 in /data/_software.../confluent_kafka-1.1.0-cp37-cp37m-manylinux1_x86_64.whl Installing collected packages: confluent-kafka.../cx_Oracle-8.0.0-cp37-cp37m-manylinux1_x86_64.whl Installing collected packages: cx-Oracle Successfully
_internal.pep425tags.get_supported()) 此处会得到类似以下的回显： 记住第一个大括号内的 cp37m 和 manylinux1_x86_64 ，后面会用到。...前往这个页面下载 tensorflow 2.3.0 ，按照上一步中的结果，我们选择下载最接近的文件 tensorflow-2.3.0-cp37-cp37m-manylinux2010_x86_64.whl...-cp37m-manylinux1_x86_64.whl 进行安装。...之后前往这个页面下载 llvmlite ，按照和上一步中同样的方式，下载 llvmlite-0.36.0-cp37-cp37m-manylinux2010_x86_64.whl 并重命名为 .........manylinux1......
_x86_64.whlbcrypt-3.1.7-cp34-abi3-manylinux1_x86_64.whlconfluent_kafka-1.1.0-cp37-cp37m-manylinux1_x86...安装已有whl文件安装bcrypt-3.1.7-cp34-abi3-manylinux1_x86_64.whl$ pip install bcrypt-3.1.7-cp34-abi3-manylinux1...installed confluent-kafka-1.1.0安装PyNaCl-1.3.0-cp34-abi3-manylinux1_x86_64.whl先安装PyNaCl，再安装paramiko$...pip install PyNaCl-1.3.0-cp34-abi3-manylinux1_x86_64.whlProcessing ...._x86_64.whl$ pip install cx_Oracle-8.0.0-cp37-cp37m-manylinux1_x86_64.whlProcessing .
pypi/packages/13/ec/f727ddd3fbcdc6102eace62c9d5dd9d9ad8112d40eeb7de8783676aca24d/ray-1.4.1-cp36-cp36m-manylinux2014...packages/53/4e/e2db88d0bb0bda6a879eea62fddbaf813719ce3770d458bc5580512d9c95/protobuf-3.17.3-cp36-cp36m-manylinux..._2_5_x86_64.manylinux1_x86_64.whl (1.0 MB) |████████████████████████████████| 1.0 MB 136.1 MB/s...packages/7a/5b/bc0b5ab38247bba158504a410112b6c03f153c652734ece1849749e5f518/PyYAML-5.4.1-cp36-cp36m-manylinux1...packages/0c/0d/b1d9d32d03ce38ba5e2a37fbae850afd4530a14cc441e8335f1865a03705/msgpack-1.0.2-cp36-cp36m-manylinux1
_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (81 kB) ━━━━━━━━━━━..._2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (897 kB) ━━━━━━━━━━..._2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (139 kB) ━━━━━━━━━━..._2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (284 kB) ━━━━━━..._2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.3 MB) ━━━━━━━━━━
/bin/psutil-5.8.0-cp38-cp38-manylinux2010_x86_64.whl Processing ..../bin/pyrsistent-0.18.0-cp38-cp38-manylinux1_x86_64.whl Processing ..../bin/google_crc32c-1.3.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl Processing ..../bin/multidict-5.2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010.../bin/yarl-1.6.3-cp38-cp38-manylinux2014_x86_64.whl Processing .
1.1.0-py2.py3-none-any.whl (16 kB)Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp27-cp27mu-manylinux1.../MarkupSafe-1.1.1-cp27-cp27mu-manylinux1_x86_64.whlSuccessfully downloaded Flask click Jinja2 Werkzeug...-2.11.3-py2.py3-none-any.whl-rw-r--r-- 1 root root 24348 Jun 24 21:33 MarkupSafe-1.1.1-cp27-cp27mu-manylinux1...itsdangerous-1.1.0-py2.py3-none-any.whlJinja2-2.11.3-py2.py3-none-any.whlMarkupSafe-1.1.1-cp27-cp27mu-manylinux1...-2.11.3-py2.py3-none-any.whl-rw-r--r-- 1 root root 24348 Jun 24 2022 MarkupSafe-1.1.1-cp27-cp27mu-manylinux1
_2_17_x86_64.manylinux2014_x86_64.whl (49.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.9/49.9..._2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.9/14.9..._2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.3/281.3..._2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.5/2.5..._x86_64.manylinux_2_5_x86_64.whl (307 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 307.2/307.2 kB
opencv_python-3.2.0.7-cp36-cp36m-manylinux1_i686.whl (md5) Python Wheel cp36 2017-04-08 5MB opencv_python...-3.2.0.7-cp36-cp36m-manylinux1_x86_64.whl (md5) Python Wheel cp36 2017-04-08 6MB opencv_python-3.2.0.7
requirements.txt中内容是numpy==1.26.3为例 Collecting numpy==1.26.3 Using cached numpy-1.26.3-cp310-cp310-manylinux..._2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) Installing collected packages: numpy Successfully installed...source env.sh install numpy scipy 已进入虚拟环境 Collecting numpy Using cached numpy-1.26.3-cp310-cp310-manylinux..._2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) Collecting scipy Using cached scipy-1.11.4-cp310-cp310...-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (36.4 MB) Installing collected packages: numpy, scipy
_x86_64.whlcu75/torch-0.2.0.post3-cp35-cp35m-manylinux1_x86_64.whlcu75/torch-0.2.0.post3-cp27-cp27mu-manylinux1..._x86_64.whlcu75/torch-0.2.0.post3-cp27-cp27m-manylinux1_x86_64.whlcu75/torch-0.2.0.post2-cp36-cp36m-manylinux1..._x86_64.whlcu75/torch-0.2.0.post2-cp35-cp35m-manylinux1_x86_64.whlcu75/torch-0.2.0.post2-cp27-cp27mu-manylinux1..._x86_64.whlcu75/torch-0.2.0.post2-cp27-cp27m-manylinux1_x86_64.whlcu75/torch-0.2.0.post1-cp36-cp36m-manylinux1..._x86_64.whlcu75/torch-0.2.0.post1-cp35-cp35m-manylinux1_x86_64.whlcu75/torch-0.2.0.post1-cp27-cp27mu-manylinux1
zhangsan@node01:~$ python3 -m pip install pymongo Collecting pymongo Downloading pymongo-4.2.0-cp39-cp39-manylinux..._2_17_x86_64.manylinux2014_x86_64.whl (479 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 479.2/479.2...node01:~$ python3 -m pip install pymongo=3.6 Collecting pymongo Downloading pymongo-3.6.0-cp39-cp39-manylinux..._2_17_x86_64.manylinux2014_x86_64.whl (479 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 479.2/479.2
requirements.txt 就报错了 #8 28.40 Collecting websockets==10.0 #8 28.51 Downloading websockets-10.0-cp39-cp39-manylinux2010...files.pythonhosted.org/packages/be/2a/6d266eea47dbb2d872bbd1b8954a2d167668481ff34ebb70ffdd1113eeab/cffi-1.14.6-cp39-cp39-manylinux1
packages/50/5b/f588bbd1a7805a742e8d8316740383822b160c4e36b6c14793b57ebe7360/wordcloud-1.8.1-cp38-cp38-manylinux1..._2_5_x86_64.manylinux1_x86_64.whl (11.3 MB) |████████████████████████████████| 11.3 MB 129 kB/s.../packages/fe/f9/cd8b11ec15e27581c5e7affdf04d618d44fa9524dbeb429e5e728df6dc4c/Pillow-8.4.0-cp38-cp38-manylinux..._2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB) |████████████████████████████████| 3.1 MB 47.9 MB..._2_5_x86_64.manylinux1_x86_64.whl (1.2 MB) |████████████████████████████████| 1.2 MB 47.2 MB/s Collecting
packages/45/8d/68eec8de2d22a8ed6004344b35f94f2407ba723beee6ab468f162bb7be3e/setproctitle-1.3.3-cp38-cp38-manylinux..._2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (31 kB) Installing collected
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