由于一开始Pycharm无法下载资源包，所以打算重新安装一下Anaconda，没想到想在官网下载Anaconda时文件丢失，缺少Sprits文件，在网上尝试了很多方法也没有成功，最后猜测应该是之前卸载Anaconda时没有卸载干净，导致Sprits文件还是有残留，所以没有读取到，最后通过重装系统解决的。（C盘容量太小了，预留的空间不够，不建议尝试重装系统，太麻烦了）
进入正题
一 下载Anaconda
建议观看下面的链接，里面有很详细的安装过程。
在下载Anaconda的时候一切都很顺利，最后可以在cmd命令行成功读取：
代码：conda list
C:\Users\40695>conda list
# packages in environment at D:\Anaconda\ANACONDA:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py39haa95532_0
alabaster 0.7.12 pyhd3eb1b0_0
anaconda 2022.10 py39_0
anaconda-client 1.11.0 py39haa95532_0
anaconda-navigator 2.3.1 py39haa95532_0
anaconda-project 0.11.1 py39haa95532_0
anyio 3.5.0 py39haa95532_0
appdirs 1.4.4 pyhd3eb1b0_0
argon2-cffi 21.3.0 pyhd3eb1b0_0
argon2-cffi-bindings 21.2.0 py39h2bbff1b_0
arrow 1.2.2 pyhd3eb1b0_0
astroid 2.11.7 py39haa95532_0
astropy 5.1 py39h080aedc_0
atomicwrites 1.4.0 py_0
attrs 21.4.0 pyhd3eb1b0_0
automat 20.2.0 py_0
autopep8 1.6.0 pyhd3eb1b0_1
babel 2.9.1 pyhd3eb1b0_0
backcall 0.2.0 pyhd3eb1b0_0
backports 1.1 pyhd3eb1b0_0
backports.functools_lru_cache 1.6.4 pyhd3eb1b0_0
backports.tempfile 1.0 pyhd3eb1b0_1
backports.weakref 1.0.post1 py_1
bcrypt 3.2.0 py39h2bbff1b_1
beautifulsoup4 4.11.1 py39haa95532_0
binaryornot 0.4.4 pyhd3eb1b0_1
bitarray 2.5.1 py39h2bbff1b_0
bkcharts 0.2 py39haa95532_1
black 22.6.0 py39haa95532_0
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
blosc 1.21.0 h19a0ad4_1
bokeh 2.4.3 py39haa95532_0
boto3 1.24.28 py39haa95532_0
botocore 1.27.28 py39haa95532_0
bottleneck 1.3.5 py39h080aedc_0
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
brotlipy 0.7.0 py39h2bbff1b_1003
bzip2 1.0.8 he774522_0
ca-certificates 2022.07.19 haa95532_0
certifi 2022.9.14 py39haa95532_0
cffi 1.15.1 py39h2bbff1b_0
cfitsio 3.470 h2bbff1b_7
chardet 4.0.0 py39haa95532_1003
charls 2.2.0 h6c2663c_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 8.0.4 py39haa95532_0
cloudpickle 2.0.0 pyhd3eb1b0_0
clyent 1.2.2 py39haa95532_1
colorama 0.4.5 py39haa95532_0
colorcet 3.0.0 py39haa95532_0
comtypes 1.1.10 py39haa95532_1002
conda 22.9.0 py39haa95532_0
conda-build 3.22.0 py39haa95532_0
conda-content-trust 0.1.3 py39haa95532_0
conda-env 2.6.0 haa95532_1
conda-pack 0.6.0 pyhd3eb1b0_0
conda-package-handling 1.9.0 py39h8cc25b3_0
conda-repo-cli 1.0.20 py39haa95532_0
conda-token 0.4.0 pyhd3eb1b0_0
conda-verify 3.4.2 py_1
console_shortcut 0.1.1 4
constantly 15.1.0 pyh2b92418_0
cookiecutter 1.7.3 pyhd3eb1b0_0
cryptography 37.0.1 py39h21b164f_0
cssselect 1.1.0 pyhd3eb1b0_0
curl 7.84.0 h2bbff1b_0
cycler 0.11.0 pyhd3eb1b0_0
cython 0.29.32 py39hd77b12b_0
cytoolz 0.11.0 py39h2bbff1b_0
daal4py 2021.6.0 py39h757b272_1
dal 2021.6.0 h59b6b97_874
dask 2022.7.0 py39haa95532_0
dask-core 2022.7.0 py39haa95532_0
dataclasses 0.8 pyh6d0b6a4_7
datashader 0.14.1 py39haa95532_0
datashape 0.5.4 py39haa95532_1
debugpy 1.5.1 py39hd77b12b_0
decorator 5.1.1 pyhd3eb1b0_0
defusedxml 0.7.1 pyhd3eb1b0_0
diff-match-patch 20200713 pyhd3eb1b0_0
dill 0.3.4 pyhd3eb1b0_0
distributed 2022.7.0 py39haa95532_0
docutils 0.18.1 py39haa95532_3
entrypoints 0.4 py39haa95532_0
et_xmlfile 1.1.0 py39haa95532_0
fftw 3.3.9 h2bbff1b_1
filelock 3.6.0 pyhd3eb1b0_0
flake8 4.0.1 pyhd3eb1b0_1
flask 1.1.2 pyhd3eb1b0_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
fsspec 2022.7.1 py39haa95532_0
future 0.18.2 py39haa95532_1
gensim 4.1.2 py39hd77b12b_0
giflib 5.2.1 h62dcd97_0
glob2 0.7 pyhd3eb1b0_0
greenlet 1.1.1 py39hd77b12b_0
h5py 3.7.0 py39h3de5c98_0
hdf5 1.10.6 h1756f20_1
heapdict 1.0.1 pyhd3eb1b0_0
holoviews 1.15.0 py39haa95532_0
hvplot 0.8.0 py39haa95532_0
hyperlink 21.0.0 pyhd3eb1b0_0
icc_rt 2022.1.0 h6049295_2
icu 58.2 ha925a31_3
idna 3.3 pyhd3eb1b0_0
imagecodecs 2021.8.26 py39hc0a7faf_1
imageio 2.19.3 py39haa95532_0
imagesize 1.4.1 py39haa95532_0
importlib-metadata 4.11.3 py39haa95532_0
importlib_metadata 4.11.3 hd3eb1b0_0
incremental 21.3.0 pyhd3eb1b0_0
inflection 0.5.1 py39haa95532_0
iniconfig 1.1.1 pyhd3eb1b0_0
intake 0.6.5 pyhd3eb1b0_0
intel-openmp 2021.4.0 haa95532_3556
intervaltree 3.1.0 pyhd3eb1b0_0
ipykernel 6.15.2 py39haa95532_0
ipython 7.31.1 py39haa95532_1
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 7.6.5 pyhd3eb1b0_1
isort 5.9.3 pyhd3eb1b0_0
itemadapter 0.3.0 pyhd3eb1b0_0
itemloaders 1.0.4 pyhd3eb1b0_1
itsdangerous 2.0.1 pyhd3eb1b0_0
jdcal 1.4.1 pyhd3eb1b0_0
jedi 0.18.1 py39haa95532_1
jellyfish 0.9.0 py39h2bbff1b_0
jinja2 2.11.3 pyhd3eb1b0_0
jinja2-time 0.2.0 pyhd3eb1b0_3
jmespath 0.10.0 pyhd3eb1b0_0
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9e h2bbff1b_0
jq 1.6 haa95532_1
json5 0.9.6 pyhd3eb1b0_0
jsonschema 4.16.0 py39haa95532_0
jupyter 1.0.0 py39haa95532_8
jupyter_client 7.3.4 py39haa95532_0
jupyter_console 6.4.3 pyhd3eb1b0_0
jupyter_core 4.11.1 py39haa95532_0
jupyter_server 1.18.1 py39haa95532_0
jupyterlab 3.4.4 py39haa95532_0
jupyterlab_pygments 0.1.2 py_0
jupyterlab_server 2.10.3 pyhd3eb1b0_1
jupyterlab_widgets 1.0.0 pyhd3eb1b0_1
keyring 23.4.0 py39haa95532_0
kiwisolver 1.4.2 py39hd77b12b_0
lazy-object-proxy 1.6.0 py39h2bbff1b_0
lcms2 2.12 h83e58a3_0
lerc 3.0 hd77b12b_0
libaec 1.0.4 h33f27b4_1
libarchive 3.6.1 hebabd0d_0
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libcurl 7.84.0 h86230a5_0
libdeflate 1.8 h2bbff1b_5
libiconv 1.16 h2bbff1b_2
liblief 0.11.5 hd77b12b_1
libpng 1.6.37 h2a8f88b_0
libsodium 1.0.18 h62dcd97_0
libspatialindex 1.9.3 h6c2663c_0
libssh2 1.10.0 hcd4344a_0
libtiff 4.4.0 h8a3f274_0
libwebp 1.2.2 h2bbff1b_0
libxml2 2.9.14 h0ad7f3c_0
libxslt 1.1.35 h2bbff1b_0
libzopfli 1.0.3 ha925a31_0
llvmlite 0.38.0 py39h23ce68f_0
locket 1.0.0 py39haa95532_0
lxml 4.9.1 py39h1985fb9_0
lz4 3.1.3 py39h2bbff1b_0
lz4-c 1.9.3 h2bbff1b_1
lzo 2.10 he774522_2
m2-msys2-runtime 2.5.0.17080.65c939c 3
m2-patch 2.7.5 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markdown 3.3.4 py39haa95532_0
markupsafe 2.0.1 py39h2bbff1b_0
matplotlib 3.5.2 py39haa95532_0
matplotlib-base 3.5.2 py39hd77b12b_0
matplotlib-inline 0.1.6 py39haa95532_0
mccabe 0.6.1 py39haa95532_2
menuinst 1.4.19 py39h59b6b97_0
mistune 0.8.4 py39h2bbff1b_1000
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py39h2bbff1b_0
mkl_fft 1.3.1 py39h277e83a_0
mkl_random 1.2.2 py39hf11a4ad_0
mock 4.0.3 pyhd3eb1b0_0
mpmath 1.2.1 py39haa95532_0
msgpack-python 1.0.3 py39h59b6b97_0
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py39haa95532_0
munkres 1.1.4 py_0
mypy_extensions 0.4.3 py39haa95532_1
navigator-updater 0.3.0 py39haa95532_0
nbclassic 0.3.5 pyhd3eb1b0_0
nbclient 0.5.13 py39haa95532_0
nbconvert 6.4.4 py39haa95532_0
nbformat 5.5.0 py39haa95532_0
nest-asyncio 1.5.5 py39haa95532_0
networkx 2.8.4 py39haa95532_0
nltk 3.7 pyhd3eb1b0_0
nose 1.3.7 pyhd3eb1b0_1008
notebook 6.4.12 py39haa95532_0
numba 0.55.1 py39hf11a4ad_0
numexpr 2.8.3 py39hb80d3ca_0
numpy 1.21.5 py39h7a0a035_3
numpy-base 1.21.5 py39hca35cd5_3
numpydoc 1.4.0 py39haa95532_0
olefile 0.46 pyhd3eb1b0_0
openjpeg 2.4.0 h4fc8c34_0
openpyxl 3.0.10 py39h2bbff1b_0
openssl 1.1.1q h2bbff1b_0
packaging 21.3 pyhd3eb1b0_0
pandas 1.4.4 py39hd77b12b_0
pandocfilters 1.5.0 pyhd3eb1b0_0
panel 0.13.1 py39haa95532_0
param 1.12.0 pyhd3eb1b0_0
paramiko 2.8.1 pyhd3eb1b0_0
parsel 1.6.0 py39haa95532_0
parso 0.8.3 pyhd3eb1b0_0
partd 1.2.0 pyhd3eb1b0_1
pathlib 1.0.1 pyhd3eb1b0_1
pathspec 0.9.0 py39haa95532_0
patsy 0.5.2 py39haa95532_1
pep8 1.7.1 py39haa95532_1
pexpect 4.8.0 pyhd3eb1b0_3
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 9.2.0 py39hdc2b20a_1
pip 22.2.2 py39haa95532_0
pkginfo 1.8.2 pyhd3eb1b0_0
platformdirs 2.5.2 py39haa95532_0
plotly 5.9.0 py39haa95532_0
pluggy 1.0.0 py39haa95532_1
powershell_shortcut 0.0.1 3
poyo 0.5.0 pyhd3eb1b0_0
prometheus_client 0.14.1 py39haa95532_0
prompt-toolkit 3.0.20 pyhd3eb1b0_0
prompt_toolkit 3.0.20 hd3eb1b0_0
protego 0.1.16 py_0
psutil 5.9.0 py39h2bbff1b_0
ptyprocess 0.7.0 pyhd3eb1b0_2
py 1.11.0 pyhd3eb1b0_0
py-lief 0.11.5 py39hd77b12b_1
pyasn1 0.4.8 pyhd3eb1b0_0
pyasn1-modules 0.2.8 py_0
pycodestyle 2.8.0 pyhd3eb1b0_0
pycosat 0.6.3 py39h2bbff1b_0
pycparser 2.21 pyhd3eb1b0_0
pyct 0.4.8 py39haa95532_1
pycurl 7.45.1 py39hcd4344a_0
pydispatcher 2.0.5 py39haa95532_2
pydocstyle 6.1.1 pyhd3eb1b0_0
pyerfa 2.0.0 py39h2bbff1b_0
pyflakes 2.4.0 pyhd3eb1b0_0
pygments 2.11.2 pyhd3eb1b0_0
pyhamcrest 2.0.2 pyhd3eb1b0_2
pyjwt 2.4.0 py39haa95532_0
pylint 2.14.5 py39haa95532_0
pyls-spyder 0.4.0 pyhd3eb1b0_0
pynacl 1.5.0 py39h8cc25b3_0
pyodbc 4.0.34 py39hd77b12b_0
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.9 py39haa95532_0
pyqt 5.9.2 py39hd77b12b_6
pyrsistent 0.18.0 py39h196d8e1_0
pysocks 1.7.1 py39haa95532_0
pytables 3.6.1 py39h56d22b6_1
pytest 7.1.2 py39haa95532_0
python 3.9.13 h6244533_1
python-dateutil 2.8.2 pyhd3eb1b0_0
python-fastjsonschema 2.16.2 py39haa95532_0
python-libarchive-c 2.9 pyhd3eb1b0_1
python-lsp-black 1.0.0 pyhd3eb1b0_0
python-lsp-jsonrpc 1.0.0 pyhd3eb1b0_0
python-lsp-server 1.3.3 pyhd3eb1b0_0
python-slugify 5.0.2 pyhd3eb1b0_0
python-snappy 0.6.0 py39hd77b12b_3
pytz 2022.1 py39haa95532_0
pyviz_comms 2.0.2 pyhd3eb1b0_0
pywavelets 1.3.0 py39h2bbff1b_0
pywin32 302 py39h2bbff1b_2
pywin32-ctypes 0.2.0 py39haa95532_1000
pywinpty 2.0.2 py39h5da7b33_0
pyyaml 6.0 py39h2bbff1b_1
pyzmq 23.2.0 py39hd77b12b_0
qdarkstyle 3.0.2 pyhd3eb1b0_0
qstylizer 0.1.10 pyhd3eb1b0_0
qt 5.9.7 vc14h73c81de_0
qtawesome 1.0.3 pyhd3eb1b0_0
qtconsole 5.2.2 pyhd3eb1b0_0
qtpy 2.2.0 py39haa95532_0
queuelib 1.5.0 py39haa95532_0
regex 2022.7.9 py39h2bbff1b_0
requests 2.28.1 py39haa95532_0
requests-file 1.5.1 pyhd3eb1b0_0
rope 0.22.0 pyhd3eb1b0_0
rtree 0.9.7 py39h2eaa2aa_1
ruamel_yaml 0.15.100 py39h2bbff1b_0
s3transfer 0.6.0 py39haa95532_0
scikit-image 0.19.2 py39hf11a4ad_0
scikit-learn 1.0.2 py39hf11a4ad_1
scikit-learn-intelex 2021.6.0 py39haa95532_0
scipy 1.9.1 py39he11b74f_0
scrapy 2.6.2 py39haa95532_0
seaborn 0.11.2 pyhd3eb1b0_0
send2trash 1.8.0 pyhd3eb1b0_1
service_identity 18.1.0 pyhd3eb1b0_1
setuptools 63.4.1 py39haa95532_0
sip 4.19.13 py39hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
smart_open 5.2.1 py39haa95532_0
snappy 1.1.9 h6c2663c_0
sniffio 1.2.0 py39haa95532_1
snowballstemmer 2.2.0 pyhd3eb1b0_0
sortedcollections 2.1.0 pyhd3eb1b0_0
sortedcontainers 2.4.0 pyhd3eb1b0_0
soupsieve 2.3.1 pyhd3eb1b0_0
sphinx 5.0.2 py39haa95532_0
sphinxcontrib-applehelp 1.0.2 pyhd3eb1b0_0
sphinxcontrib-devhelp 1.0.2 pyhd3eb1b0_0
sphinxcontrib-htmlhelp 2.0.0 pyhd3eb1b0_0
sphinxcontrib-jsmath 1.0.1 pyhd3eb1b0_0
sphinxcontrib-qthelp 1.0.3 pyhd3eb1b0_0
sphinxcontrib-serializinghtml 1.1.5 pyhd3eb1b0_0
spyder 5.2.2 py39haa95532_1
spyder-kernels 2.2.1 py39haa95532_0
sqlalchemy 1.4.39 py39h2bbff1b_0
sqlite 3.39.3 h2bbff1b_0
statsmodels 0.13.2 py39h2bbff1b_0
sympy 1.10.1 py39haa95532_0
tabulate 0.8.10 py39haa95532_0
tbb 2021.6.0 h59b6b97_0
tbb4py 2021.6.0 py39h59b6b97_0
tblib 1.7.0 pyhd3eb1b0_0
tenacity 8.0.1 py39haa95532_1
terminado 0.13.1 py39haa95532_0
testpath 0.6.0 py39haa95532_0
text-unidecode 1.3 pyhd3eb1b0_0
textdistance 4.2.1 pyhd3eb1b0_0
threadpoolctl 2.2.0 pyh0d69192_0
three-merge 0.1.1 pyhd3eb1b0_0
tifffile 2021.7.2 pyhd3eb1b0_2
tinycss 0.4 pyhd3eb1b0_1002
tk 8.6.12 h2bbff1b_0
tldextract 3.2.0 pyhd3eb1b0_0
toml 0.10.2 pyhd3eb1b0_0
tomli 2.0.1 py39haa95532_0
tomlkit 0.11.1 py39haa95532_0
toolz 0.11.2 pyhd3eb1b0_0
tornado 6.1 py39h2bbff1b_0
tqdm 4.64.1 py39haa95532_0
traitlets 5.1.1 pyhd3eb1b0_0
twisted 22.2.0 py39h2bbff1b_1
twisted-iocpsupport 1.0.2 py39h2bbff1b_0
typing-extensions 4.3.0 py39haa95532_0
typing_extensions 4.3.0 py39haa95532_0
tzdata 2022c h04d1e81_0
ujson 5.4.0 py39hd77b12b_0
unidecode 1.2.0 pyhd3eb1b0_0
urllib3 1.26.11 py39haa95532_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
w3lib 1.21.0 pyhd3eb1b0_0
watchdog 2.1.6 py39haa95532_0
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py39haa95532_1
websocket-client 0.58.0 py39haa95532_4
werkzeug 2.0.3 pyhd3eb1b0_0
wheel 0.37.1 pyhd3eb1b0_0
widgetsnbextension 3.5.2 py39haa95532_0
win_inet_pton 1.1.0 py39haa95532_0
win_unicode_console 0.5 py39haa95532_0
wincertstore 0.2 py39haa95532_2
winpty 0.4.3 4
wrapt 1.14.1 py39h2bbff1b_0
xarray 0.20.1 pyhd3eb1b0_1
xlrd 2.0.1 pyhd3eb1b0_0
xlsxwriter 3.0.3 pyhd3eb1b0_0
xlwings 0.27.15 py39haa95532_0
xz 5.2.6 h8cc25b3_0
yaml 0.2.5 he774522_0
yapf 0.31.0 pyhd3eb1b0_0
zeromq 4.3.4 hd77b12b_0
zfp 0.5.5 hd77b12b_6
zict 2.1.0 py39haa95532_0
zipp 3.8.0 py39haa95532_0
zlib 1.2.12 h8cc25b3_3
zope 1.0 py39haa95532_1
zope.interface 5.4.0 py39h2bbff1b_0
zstd 1.5.2 h19a0ad4_0
其次是安装Cuda，我的显卡版本是NVIDA 3060，搭配的是cuda12.0版本，具体的版本在Nvida控制面板可以自行查看。
1.打开Nvida控制面板，选择左下角的系统信息。
2.在系统信息中选择组件
里面会显示NVIDA所能支持的最高的CUDA版本。
3.安装
进入cuda官网选择对应的软件包进行下载即可，下载后用cmd命令行查看是否安装：
代码：nvcc -V
C:\Users\40695>nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Fri_Jan__6_19:04:39_Pacific_Standard_Time_2023
Cuda compilation tools, release 12.0, V12.0.140
Build cuda_12.0.r12.0/compiler.32267302_0
三 安装Pytorch
这一步是我卡的最久的步骤了，在之前的安装过程中没有任何问题。（原操作系统是win10，然后后升级的win11，升级后也可以运行）
首先进入Pytorch官网
首先根据自己的电脑环境来选择相应的版本，由于我用的是Python还有Conda的Package，大家可以通过自己的需要选择，CUDA版本根据自己需要选择。（注意：CPU版本只可以用CPU进行编译运行，无法用CUDA调用GPU来编译运行，如果想用GPU编程，所以一定要选择CUDA版本）
第二步：将红框中的链接复制，用管理员运行cmd命令行：
这是正常运行的情况，输入y进行安装即可。
还有一种情况
cmd管理员运行会出现CondaSSLError报错：
OpenSSL appears to be unavailable on this machine. OpenSSL is required to
download and install packages.
这个错误意思是OpenSSL出了问题，我在这里卡了很久没办法进行安装，直到今天突发奇想，运行了CONDA：
选择Anaconda命令行，以管理员身份运行。
再将从Pytorch复制的代码粘贴
(base) C:\Windows\System32>conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: D:\Anaconda\ANACONDA
added / updated specs:
- pytorch
- pytorch-cuda=11.7
- torchaudio
- torchvision
The following NEW packages will be INSTALLED:
cuda nvidia/win-64::cuda-11.7.1-0 None
cuda-cccl nvidia/win-64::cuda-cccl-11.7.91-0 None
cuda-command-line~ nvidia/win-64::cuda-command-line-tools-11.7.1-0 None
cuda-compiler nvidia/win-64::cuda-compiler-11.7.1-0 None
cuda-cudart nvidia/win-64::cuda-cudart-11.7.99-0 None
cuda-cudart-dev nvidia/win-64::cuda-cudart-dev-11.7.99-0 None
cuda-cuobjdump nvidia/win-64::cuda-cuobjdump-11.7.91-0 None
cuda-cupti nvidia/win-64::cuda-cupti-11.7.101-0 None
cuda-cuxxfilt nvidia/win-64::cuda-cuxxfilt-11.7.91-0 None
cuda-demo-suite nvidia/win-64::cuda-demo-suite-12.0.140-0 None
cuda-documentation nvidia/win-64::cuda-documentation-12.0.140-0 None
cuda-libraries nvidia/win-64::cuda-libraries-11.7.1-0 None
cuda-libraries-dev nvidia/win-64::cuda-libraries-dev-11.7.1-0 None
cuda-memcheck nvidia/win-64::cuda-memcheck-11.8.86-0 None
cuda-nsight-compu~ nvidia/win-64::cuda-nsight-compute-12.0.1-0 None
cuda-nvcc nvidia/win-64::cuda-nvcc-11.7.99-0 None
cuda-nvdisasm nvidia/win-64::cuda-nvdisasm-12.0.140-0 None
cuda-nvml-dev nvidia/win-64::cuda-nvml-dev-11.7.91-0 None
cuda-nvprof nvidia/win-64::cuda-nvprof-12.0.146-0 None
cuda-nvprune nvidia/win-64::cuda-nvprune-11.7.91-0 None
cuda-nvrtc nvidia/win-64::cuda-nvrtc-11.7.99-0 None
cuda-nvrtc-dev nvidia/win-64::cuda-nvrtc-dev-11.7.99-0 None
cuda-nvtx nvidia/win-64::cuda-nvtx-11.7.91-0 None
cuda-nvvp nvidia/win-64::cuda-nvvp-12.0.146-0 None
cuda-runtime nvidia/win-64::cuda-runtime-11.7.1-0 None
cuda-sanitizer-api nvidia/win-64::cuda-sanitizer-api-12.0.140-0 None
cuda-toolkit nvidia/win-64::cuda-toolkit-11.7.1-0 None
cuda-tools nvidia/win-64::cuda-tools-11.7.1-0 None
cuda-visual-tools nvidia/win-64::cuda-visual-tools-11.7.1-0 None
libcublas nvidia/win-64::libcublas-11.10.3.66-0 None
libcublas-dev nvidia/win-64::libcublas-dev-11.10.3.66-0 None
libcufft nvidia/win-64::libcufft-10.7.2.124-0 None
libcufft-dev nvidia/win-64::libcufft-dev-10.7.2.124-0 None
libcurand nvidia/win-64::libcurand-10.3.1.124-0 None
libcurand-dev nvidia/win-64::libcurand-dev-10.3.1.124-0 None
libcusolver nvidia/win-64::libcusolver-11.4.0.1-0 None
libcusolver-dev nvidia/win-64::libcusolver-dev-11.4.0.1-0 None
libcusparse nvidia/win-64::libcusparse-11.7.4.91-0 None
libcusparse-dev nvidia/win-64::libcusparse-dev-11.7.4.91-0 None
libnpp nvidia/win-64::libnpp-11.7.4.75-0 None
libnpp-dev nvidia/win-64::libnpp-dev-11.7.4.75-0 None
libnvjpeg nvidia/win-64::libnvjpeg-11.8.0.2-0 None
libnvjpeg-dev nvidia/win-64::libnvjpeg-dev-11.8.0.2-0 None
libuv pkgs/main/win-64::libuv-1.40.0-he774522_0 None
nsight-compute nvidia/win-64::nsight-compute-2022.4.1.6-0 None
pytorch pytorch/win-64::pytorch-1.13.1-py3.9_cuda11.7_cudnn8_0 None
pytorch-cuda pytorch/noarch::pytorch-cuda-11.7-h67b0de4_1 None
pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cuda None
ruamel.yaml pkgs/main/win-64::ruamel.yaml-0.17.21-py39h2bbff1b_0 None
ruamel.yaml.clib pkgs/main/win-64::ruamel.yaml.clib-0.2.6-py39h2bbff1b_1 None
torchaudio pytorch/win-64::torchaudio-0.13.1-py39_cu117 None
torchvision pytorch/win-64::torchvision-0.14.1-py39_cu117 None
The following packages will be UPDATED:
conda 22.9.0-py39haa95532_0 --> 23.1.0-py39haa95532_0 None
Proceed ([y]/n)?
选择y即可安装。
安装Pycharm
首先进入Pycharm官网
在这里选择社区版（Community） .exe（不要选择ARM64，会不兼容），进行下载即可。
以上是博主自己安装实际经历，如果有更好的办法或者表述有错误希望大佬们及时指正！！！
本文转载自: https://blog.csdn.net/Lannisiter/article/details/129148948
版权归原作者 伤心火腿肠 所有， 如有侵权，请联系我们删除。
版权归原作者 伤心火腿肠 所有， 如有侵权，请联系我们删除。