win10 cuda11.1 paddlepaddle-gpu
(base) F:> (base) F:> (base) F:> (base) F:>conda create -n wind_paddle python==3.7 Collecting package metadata (current_repodata.json): done Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Collecting package metadata (repodata.json): done Solving environment: done ==> WARNING: A newer version of conda exists. <== current version: 4.9.2 latest version: 4.10.1 Please update conda by running $ conda update -n base -c defaults conda ## Package Plan ## environment location: E:Anaconda3installenvswind_paddle added / updated specs: - python==3.7 The following packages will be downloaded: package | build ---------------------------|----------------- python-3.7.0 | hea74fb7_0 16.6 MB ------------------------------------------------------------ Total: 16.6 MB The following NEW packages will be INSTALLED: certifi pkgs/main/win-64::certifi-2020.12.5-py37haa95532_0 pip pkgs/main/win-64::pip-21.0.1-py37haa95532_0 python pkgs/main/win-64::python-3.7.0-hea74fb7_0 setuptools pkgs/main/win-64::setuptools-52.0.0-py37haa95532_0 vc pkgs/main/win-64::vc-14.2-h21ff451_1 vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2 wheel pkgs/main/noarch::wheel-0.36.2-pyhd3eb1b0_0 wincertstore pkgs/main/win-64::wincertstore-0.2-py37_0 Proceed ([y]/n)? done # # To activate this environment, use # # $ conda activate wind_paddle # # To deactivate an active environment, use # # $ conda deactivate (base) F:> (base) F:> (base) F:> (base) F:> (base) F:> (base) F:> (base) F:> (base) F:>conda activate wind_paddle (wind_paddle) F:> (wind_paddle) F:> (wind_paddle) F:> (wind_paddle) F:> (wind_paddle) F:> (wind_paddle) F:>python -m pip install paddlepaddle-gpu==2.0.2.post110 -f https://paddlepaddle.org.cn/whl/mkl/stable.html Looking in links: https://paddlepaddle.org.cn/whl/mkl/stable.html Collecting paddlepaddle-gpu==2.0.2.post110 Downloading https://paddle-wheel.bj.bcebos.com/2.0.2/avx/paddlepaddle_gpu-2.0.2.post110-cp37-cp37m-win_amd64.whl (401.2 MB) |████████████████████████████████| 401.2 MB 176 kB/s Collecting astor Using cached astor-0.8.1-py2.py3-none-any.whl (27 kB) Collecting gast==0.3.3 Using cached gast-0.3.3-py2.py3-none-any.whl (9.7 kB) Collecting numpy<=1.19.3,>=1.13 Downloading numpy-1.19.3-cp37-cp37m-win_amd64.whl (13.2 MB) |████████████████████████████████| 13.2 MB 1.6 MB/s Collecting decorator Downloading decorator-5.0.7-py3-none-any.whl (8.8 kB) Requirement already satisfied: Pillow in c:usersimappdata oamingpythonpython37site-packages (from paddlepaddle-gpu==2.0.2.post110) (8.2.0) Collecting six Using cached six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting requests>=2.20.0 Using cached requests-2.25.1-py2.py3-none-any.whl (61 kB) Collecting protobuf>=3.1.0 Using cached protobuf-3.15.8-cp37-cp37m-win_amd64.whl (904 kB) Collecting urllib3<1.27,>=1.21.1 Using cached urllib3-1.26.4-py2.py3-none-any.whl (153 kB) Collecting idna<3,>=2.5 Using cached idna-2.10-py2.py3-none-any.whl (58 kB) Collecting chardet<5,>=3.0.2 Using cached chardet-4.0.0-py2.py3-none-any.whl (178 kB) Requirement already satisfied: certifi>=2017.4.17 in e:anaconda3installenvswind_paddlelibsite-packages (from requests>=2.20.0->paddlepaddle-gpu==2.0.2.post110) (2020.12.5) Installing collected packages: urllib3, six, idna, chardet, requests, protobuf, numpy, gast, decorator, astor, paddlepaddle-gpu ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. jsonschema 3.2.0 requires importlib-metadata; python_version < "3.8", which is not installed. ipython 7.22.0 requires colorama; sys_platform == "win32", which is not installed. Successfully installed astor-0.8.1 chardet-4.0.0 decorator-5.0.7 gast-0.3.3 idna-2.10 numpy-1.19.3 paddlepaddle-gpu-2.0.2.post110 protobuf-3.15.8 requests-2.25.1 six-1.15.0 urllib3-1.26.4 (wind_paddle) F:> (wind_paddle) F:> (wind_paddle) F:> (wind_paddle) F:> (wind_paddle) F:> (wind_paddle) F:>python Python 3.7.0 (default, Jun 28 2018, 08:04:48) [MSC v.1912 64 bit (AMD64)] :: Anaconda, Inc. on win32 Type "help", "copyright", "credits" or "license" for more information. >>> >>> >>> >>> import paddle >>> >>> >>> >>> paddle.utils.run_check() Running verify PaddlePaddle program ... W0428 11:23:21.953500 1688 device_context.cc:362] Please NOTE: device: 0, GPU Compute Capability: 8.6, Driver API Version: 11.2, Runtime API Version: 11.0 W0428 11:23:22.006624 1688 device_context.cc:372] device: 0, cuDNN Version: 8.1. PaddlePaddle works well on 1 GPU. PaddlePaddle works well on 1 GPUs. PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now. >>> >>> >>> >>> exit(); (wind_paddle) F:> (wind_paddle) F:> (wind_paddle) F:>
参考：https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/zh/install/pip/windows-pip.html#anchor-0
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