本文使用conda下载cuda和cudnn,直接安装到虚拟环境,免去配置环境变量等操作且节省C盘空间。若想单独下载CUDA Toolkit及cudnn,可参照该文章:
https://blog.csdn.net/m0_63834988/article/details/128781572?spm=1001.2014.3001.5501
此外,配置环境会遇到n种报错,故本文下载版本及操作顺序不能乱。
若想安装其它版本,亦可参照本文提供的一些常见报错(我遇到的……)解决方案,或许大概可能有些参考价值吧……
纯个人经验分享,仅供参考。若有不当之处,欢迎评论(虽然理论上,即使留言了我也不知道如何解决)
win11 安装 Anaconda(2022.10)+pycharm(2022.3/2023.1.4)+配置虚拟环境_QomolangmaH的博客-CSDN博客
https://blog.csdn.net/m0_63834988/article/details/128693741?spm=1001.2014.3001.5501
【2023】Anaconda更改虚拟环境安装路径+创建虚拟环境_anaconda修改虚拟环境安装位置_QomolangmaH的博客-CSDN博客
https://blog.csdn.net/m0_63834988/article/details/128691854?spm=1001.2014.3001.5501
conda create -n MLgpu python=3.7
conda activate MLgpu
ensorflow 2.3.0 requires scipy==1.4.1, but you have scipy 1.7.3 which is incompatible.
tensorflow 2.3.0 requires tensorflow-estimator<2.4.0,>=2.3.0, but you have tensorflow-estimator 2.5.0 which is incompatible.
tensorflow-gpu 2.3.0 requires scipy==1.4.1, but you have scipy 1.7.3 which is incompatible.
scipy 和 tensorflow-estimator 版本与 TensorFlow 2.3.0 和 TensorFlow GPU 2.3.0 不兼容,可以尝试如下两种方法:
若选择第1种方法,可能会导致其它库的版本兼容性问题:如果有其他库依赖于 tensorflow-estimator 2.3.0 或 scipy 1.4.1 的特定版本,可能继续报错……然后继续改……
须使用pip下载,实践表明conda下载后,安装pytorch会报错
pip install tensorflow-gpu==2.3.0
Successfully installed MarkupSafe-2.1.2 absl-py-1.4.0 astunparse-1.6.3
cachetools-5.3.0 certifi-2022.12.7 charset-normalizer-3.0.1 gast-0.3.3
google-auth-2.16.0 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 grpcio-1.51.1
h5py-2.10.0 idna-3.4 importlib-metadata-6.0.0 keras-preprocessing-1.1.2
markdown-3.4.1 numpy-1.18.5 oauthlib-3.2.2 opt-einsum-3.3.0 protobuf-3.20.3
pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.28.2 requests-oauthlib-1.3.1
rsa-4.9 scipy-1.4.1 six-1.16.0 tensorboard-2.11.2 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-gpu-2.3.0 tensorflow-gpu-estimator-2.3.0
termcolor-2.2.0 typing-extensions-4.4.0 urllib3-1.26.14 werkzeug-2.2.2 wrapt-1.14.1
zipp-3.12.0
使用如下conda会同时下载cudnn+cudatoolkit!!!
conda install cudnn==7.6.5
import tensorflow as tf
print('GPU', tf.config.list_physical_devices('GPU'))
a = tf.constant(3.)
print(a * a)
下面的报错不知道是哪个版本遇到的了,最好不要遇见……
Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2023-02-03 20:23:07.260374: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
且检测不出gpu,输出如下
GPU []
tf.Tensor(9.0, shape=(), dtype=float32)
原因:深度学习框架 TensorFlow 在尝试使用 CUDA 模块时出现版本匹配问题
解决方法:找到如下文件,复制粘贴并重命名为cudart64_101.dll
输出
GPU [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
AttributeError: module 'tensorflow.compat.v2' has no attribute '__internal__'
keras与tensorflow版本不兼容
conda install keras==2.4.3
(RL) PS C:\Users\Lenovo> pip install keras==2.4.3
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting keras==2.4.3
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/44/e1/dc0757b20b56c980b5553c1b5c4c32d378c7055ab7bfa92006801ad359ab/Keras-2.4.3-py2.py3-none-any.whl (36 kB)
Collecting pyyaml
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d1/c0/4fe04181b0210ee2647cfbb89ecd10a36eef89f10d8aca6a192c201bbe58/PyYAML-6.0-cp37-cp37m-win_amd64.whl (153 kB)
Requirement already satisfied: h5py in e:\software\anaconda3\envs\rl\lib\site-packages (from keras==2.4.3) (2.10.0)
Requirement already satisfied: scipy>=0.14 in e:\software\anaconda3\envs\rl\lib\site-packages (from keras==2.4.3) (1.4.1)
Requirement already satisfied: numpy>=1.9.1 in e:\software\anaconda3\envs\rl\lib\site-packages (from keras==2.4.3) (1.18.5)
Requirement already satisfied: six in e:\software\anaconda3\envs\rl\lib\site-packages (from h5py->keras==2.4.3) (1.16.0)
Installing collected packages: pyyaml, keras
Successfully installed keras-2.4.3 pyyaml-6.0
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=10.2 -c pytorch
(先前以添加清华源,详细步骤请参照文初链接)
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1
(cudatoolkit=10.2在安装tensorflow-gpu时安装过了)
environment location: E:\Software\anaconda3\envs\RLgpu
added / updated specs:
- pytorch==1.12.1
- torchaudio==0.12.1
- torchvision==0.13.1
The following NEW packages will be INSTALLED:
blas anaconda/cloud/conda-forge/win-64::blas-2.116-mkl
blas-devel anaconda/cloud/conda-forge/win-64::blas-devel-3.9.0-16_win64_mkl
brotlipy anaconda/cloud/conda-forge/win-64::brotlipy-0.7.0-py37hcc03f2d_1004
certifi anaconda/cloud/conda-forge/noarch::certifi-2022.12.7-pyhd8ed1ab_0
cffi anaconda/cloud/conda-forge/win-64::cffi-1.15.1-py37ha95fbe2_1
charset-normalizer anaconda/cloud/conda-forge/noarch::charset-normalizer-2.1.1-pyhd8ed1ab_0
cryptography anaconda/cloud/conda-forge/win-64::cryptography-38.0.2-py37h953a470_1
freetype anaconda/cloud/conda-forge/win-64::freetype-2.12.1-h546665d_1
idna anaconda/cloud/conda-forge/noarch::idna-3.4-pyhd8ed1ab_0
intel-openmp anaconda/cloud/conda-forge/win-64::intel-openmp-2023.0.0-h57928b3_25922
jpeg anaconda/cloud/conda-forge/win-64::jpeg-9e-h8ffe710_2
lcms2 anaconda/cloud/conda-forge/win-64::lcms2-2.14-h90d422f_0
lerc anaconda/cloud/conda-forge/win-64::lerc-4.0.0-h63175ca_0
libblas anaconda/cloud/conda-forge/win-64::libblas-3.9.0-16_win64_mkl
libcblas anaconda/cloud/conda-forge/win-64::libcblas-3.9.0-16_win64_mkl
libdeflate anaconda/cloud/conda-forge/win-64::libdeflate-1.14-hcfcfb64_0
libhwloc anaconda/cloud/conda-forge/win-64::libhwloc-2.8.0-h039e092_1
libiconv anaconda/cloud/conda-forge/win-64::libiconv-1.17-h8ffe710_0
liblapack anaconda/cloud/conda-forge/win-64::liblapack-3.9.0-16_win64_mkl
liblapacke anaconda/cloud/conda-forge/win-64::liblapacke-3.9.0-16_win64_mkl
libpng anaconda/cloud/conda-forge/win-64::libpng-1.6.39-h19919ed_0
libtiff anaconda/cloud/conda-forge/win-64::libtiff-4.4.0-hc4f729c_5
libuv anaconda/cloud/conda-forge/win-64::libuv-1.44.2-h8ffe710_0
libwebp-base anaconda/cloud/conda-forge/win-64::libwebp-base-1.2.4-h8ffe710_0
libxcb anaconda/cloud/conda-forge/win-64::libxcb-1.13-hcd874cb_1004
libxml2 anaconda/cloud/conda-forge/win-64::libxml2-2.10.3-hc3477c8_0
libzlib anaconda/cloud/conda-forge/win-64::libzlib-1.2.13-hcfcfb64_4
m2w64-gcc-libgfor~ anaconda/cloud/conda-forge/win-64::m2w64-gcc-libgfortran-5.3.0-6
m2w64-gcc-libs anaconda/cloud/conda-forge/win-64::m2w64-gcc-libs-5.3.0-7
m2w64-gcc-libs-co~ anaconda/cloud/conda-forge/win-64::m2w64-gcc-libs-core-5.3.0-7
m2w64-gmp anaconda/cloud/conda-forge/win-64::m2w64-gmp-6.1.0-2
m2w64-libwinpthre~ anaconda/cloud/conda-forge/win-64::m2w64-libwinpthread-git-5.0.0.4634.697f757-2
mkl anaconda/cloud/conda-forge/win-64::mkl-2022.1.0-h6a75c08_874
mkl-devel anaconda/cloud/conda-forge/win-64::mkl-devel-2022.1.0-h57928b3_875
mkl-include anaconda/cloud/conda-forge/win-64::mkl-include-2022.1.0-h6a75c08_874
msys2-conda-epoch anaconda/cloud/conda-forge/win-64::msys2-conda-epoch-20160418-1
numpy anaconda/cloud/conda-forge/win-64::numpy-1.21.6-py37h2830a78_0
openjpeg anaconda/cloud/conda-forge/win-64::openjpeg-2.5.0-hc9384bd_1
pillow anaconda/cloud/conda-forge/win-64::pillow-9.2.0-py37h42a8222_2
pthread-stubs anaconda/cloud/conda-forge/win-64::pthread-stubs-0.4-hcd874cb_1001
pthreads-win32 anaconda/cloud/conda-forge/win-64::pthreads-win32-2.9.1-hfa6e2cd_3
pycparser anaconda/cloud/conda-forge/noarch::pycparser-2.21-pyhd8ed1ab_0
pyopenssl anaconda/cloud/conda-forge/noarch::pyopenssl-23.0.0-pyhd8ed1ab_0
pysocks anaconda/cloud/conda-forge/win-64::pysocks-1.7.1-py37h03978a9_5
python_abi anaconda/cloud/conda-forge/win-64::python_abi-3.7-3_cp37m
pytorch anaconda/cloud/pytorch/win-64::pytorch-1.12.1-py3.7_cpu_0
pytorch-mutex anaconda/cloud/pytorch/noarch::pytorch-mutex-1.0-cpu
requests anaconda/cloud/conda-forge/noarch::requests-2.28.2-pyhd8ed1ab_0
tbb anaconda/cloud/conda-forge/win-64::tbb-2021.7.0-h91493d7_1
tk anaconda/cloud/conda-forge/win-64::tk-8.6.12-h8ffe710_0
torchaudio anaconda/cloud/pytorch/win-64::torchaudio-0.12.1-py37_cpu
torchvision anaconda/cloud/pytorch/win-64::torchvision-0.13.1-py37_cpu
typing_extensions anaconda/cloud/conda-forge/noarch::typing_extensions-4.4.0-pyha770c72_0
urllib3 anaconda/cloud/conda-forge/noarch::urllib3-1.26.14-pyhd8ed1ab_0
win_inet_pton anaconda/cloud/conda-forge/noarch::win_inet_pton-1.1.0-pyhd8ed1ab_6
xorg-libxau anaconda/cloud/conda-forge/win-64::xorg-libxau-1.0.9-hcd874cb_0
xorg-libxdmcp anaconda/cloud/conda-forge/win-64::xorg-libxdmcp-1.1.3-hcd874cb_0
xz anaconda/cloud/conda-forge/win-64::xz-5.2.6-h8d14728_0
zstd anaconda/cloud/conda-forge/win-64::zstd-1.5.2-h12be248_6
conda install matplotlib
The following NEW packages will be INSTALLED:
brotli anaconda/cloud/conda-forge/win-64::brotli-1.0.9-hcfcfb64_8
brotli-bin anaconda/cloud/conda-forge/win-64::brotli-bin-1.0.9-hcfcfb64_8
bzip2 anaconda/cloud/conda-forge/win-64::bzip2-1.0.8-h8ffe710_4
cycler anaconda/cloud/conda-forge/noarch::cycler-0.11.0-pyhd8ed1ab_0
fonttools anaconda/pkgs/main/noarch::fonttools-4.25.0-pyhd3eb1b0_0
freetype anaconda/cloud/conda-forge/win-64::freetype-2.12.1-h546665d_1
gettext anaconda/cloud/conda-forge/win-64::gettext-0.21.1-h5728263_0
glib anaconda/cloud/conda-forge/win-64::glib-2.74.1-h12be248_1
glib-tools anaconda/cloud/conda-forge/win-64::glib-tools-2.74.1-h12be248_1
gst-plugins-base anaconda/cloud/conda-forge/win-64::gst-plugins-base-1.21.3-h001b923_1
gstreamer anaconda/cloud/conda-forge/win-64::gstreamer-1.21.3-h6b5321d_1
icu anaconda/cloud/conda-forge/win-64::icu-70.1-h0e60522_0
jpeg anaconda/cloud/conda-forge/win-64::jpeg-9e-h8ffe710_2
kiwisolver anaconda/cloud/conda-forge/win-64::kiwisolver-1.4.4-py37h8c56517_0
krb5 anaconda/cloud/conda-forge/win-64::krb5-1.20.1-heb0366b_0
lerc anaconda/cloud/conda-forge/win-64::lerc-4.0.0-h63175ca_0
libbrotlicommon anaconda/cloud/conda-forge/win-64::libbrotlicommon-1.0.9-hcfcfb64_8
libbrotlidec anaconda/cloud/conda-forge/win-64::libbrotlidec-1.0.9-hcfcfb64_8
libbrotlienc anaconda/cloud/conda-forge/win-64::libbrotlienc-1.0.9-hcfcfb64_8
libclang anaconda/cloud/conda-forge/win-64::libclang-15.0.7-default_h77d9078_0
libclang13 anaconda/cloud/conda-forge/win-64::libclang13-15.0.7-default_h77d9078_0
libdeflate anaconda/cloud/conda-forge/win-64::libdeflate-1.17-hcfcfb64_0
libffi anaconda/cloud/conda-forge/win-64::libffi-3.4.2-h8ffe710_5
libglib anaconda/cloud/conda-forge/win-64::libglib-2.74.1-he8f3873_1
libogg anaconda/cloud/conda-forge/win-64::libogg-1.3.4-h8ffe710_1
libpng anaconda/cloud/conda-forge/win-64::libpng-1.6.39-h19919ed_0
libtiff anaconda/cloud/conda-forge/win-64::libtiff-4.5.0-hf8721a0_2
libvorbis anaconda/cloud/conda-forge/win-64::libvorbis-1.3.7-h0e60522_0
libwebp anaconda/cloud/conda-forge/win-64::libwebp-1.2.4-hcfcfb64_1
libwebp-base anaconda/cloud/conda-forge/win-64::libwebp-base-1.2.4-h8ffe710_0
matplotlib anaconda/cloud/conda-forge/win-64::matplotlib-3.5.3-py37h03978a9_2
matplotlib-base anaconda/cloud/conda-forge/win-64::matplotlib-base-3.5.3-py37hbaab90a_2
munkres anaconda/cloud/conda-forge/noarch::munkres-1.1.4-pyh9f0ad1d_0
packaging anaconda/cloud/conda-forge/noarch::packaging-23.0-pyhd8ed1ab_0
pcre2 anaconda/cloud/conda-forge/win-64::pcre2-10.40-h17e33f8_0
pillow anaconda/pkgs/main/win-64::pillow-9.3.0-py37hd77b12b_2
ply anaconda/cloud/conda-forge/noarch::ply-3.11-py_1
pyparsing anaconda/cloud/conda-forge/noarch::pyparsing-3.0.9-pyhd8ed1ab_0
pyqt anaconda/cloud/conda-forge/win-64::pyqt-5.15.7-py37h35e25fb_0
pyqt5-sip anaconda/cloud/conda-forge/win-64::pyqt5-sip-12.11.0-py37hf2a7229_0
python-dateutil anaconda/cloud/conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0
qt-main anaconda/cloud/conda-forge/win-64::qt-main-5.15.6-h9580fe5_6
sip anaconda/cloud/conda-forge/win-64::sip-6.6.2-py37hf2a7229_0
tk anaconda/cloud/conda-forge/win-64::tk-8.6.12-h8ffe710_0
toml anaconda/cloud/conda-forge/noarch::toml-0.10.2-pyhd8ed1ab_0
tornado anaconda/cloud/conda-forge/win-64::tornado-6.2-py37hcc03f2d_0
xz anaconda/cloud/conda-forge/win-64::xz-5.2.6-h8d14728_0
zstd anaconda/cloud/conda-forge/win-64::zstd-1.5.2-h12be248_6
pip install keras-metrics
Successfully installed Keras-2.11.0 keras_metrics-1.1.0
配置环境的痛苦……以下言论没有任何科学依据,仅供娱乐