我已经使用conda install pytorch torchvision cudatoolkit=10.2 -c pytorch安装了pytorch。
https://github.com/pytorch/pytorch/issues/17445#issuecomment-466838819说自动包含了cudNN。
尝试根据How to get the cuda version?检查安装，我用conda list cudnn进行了检查，尽管{cudNN才需要将cpuNN用于ML，而conda list cuda有效。
这是两个命令的anaconda提示符的输出。
(base) PS C:\Users\Admin> conda list cudnn
# packages in environment at C:\Users\Admin\anaconda3:
#
# Name Version Build Channel
(base) PS C:\Users\Admin> conda list cuda
# packages in environment at C:\Users\Admin\anaconda3:
#
# Name Version Build Channel
cudatoolkit 10.2.89 h74a9793_1
我在C:\Users\Admin\anaconda3\Lib\site-packages\torch\lib中找到了445 MB的cudnn文件“ cudnn64_7.dll”，在C:\Users\Admin\anaconda3\Lib\site-packages\torch\backends\cudnn和C:\Users\Admin\anaconda3\Lib\site-packages\torch\include\ATen中有一些小文件。
问题：
conda list cudnn工作？ ####
仅conda list的输出在以下位置提到了cudnn
pytorch 1.6.0 py3.7_cuda102_cudnn7_0 pytorch
完整列表：
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 py37_0
anaconda 2020.07 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.12 py37_0
anaconda-project 0.8.4 py_0
argh 0.26.2 py37_0
asn1crypto 1.3.0 py37_1
astroid 2.4.2 py37_0
astropy 4.0.1.post1 py37he774522_1
atomicwrites 1.4.0 py_0
attrs 19.3.0 py_0
autopep8 1.5.3 py_0
babel 2.8.0 py_0
backcall 0.2.0 py_0
backports 1.0 py_2
backports.functools_lru_cache 1.6.1 py_0
backports.shutil_get_terminal_size 1.0.0 py37_2
backports.tempfile 1.0 py_1
backports.weakref 1.0.post1 py_1
bcrypt 3.1.7 py37he774522_1
beautifulsoup4 4.9.1 py37_0
bitarray 1.4.0 py37he774522_0
bkcharts 0.2 py37_0
blas 1.0 mkl
bleach 3.1.5 py_0
blosc 1.19.0 h7bd577a_0
bokeh 2.1.1 py37_0
boto 2.49.0 py37_0
bottleneck 1.3.2 py37h2a96729_1
brotlipy 0.7.0 py37he774522_1000
bzip2 1.0.8 he774522_0
ca-certificates 2020.6.24 0
certifi 2020.6.20 py37_0
cffi 1.14.0 py37h7a1dbc1_0
chardet 3.0.4 py37_1003
click 7.1.2 py_0
cloudpickle 1.5.0 py_0
clyent 1.2.2 py37_1
colorama 0.4.3 py_0
comtypes 1.1.7 py37_1001
conda 4.8.3 py37_0
conda-build 3.18.11 py37_0
conda-env 2.6.0 1
conda-package-handling 1.6.1 py37h62dcd97_0
conda-verify 3.4.2 py_1
console_shortcut 0.1.1 4
contextlib2 0.6.0.post1 py_0
cryptography 2.9.2 py37h7a1dbc1_0
cudatoolkit 10.2.89 h74a9793_1
curl 7.71.1 h2a8f88b_1
cycler 0.10.0 py37_0
cython 0.29.21 py37ha925a31_0
cytoolz 0.10.1 py37he774522_0
dask 2.20.0 py_0
dask-core 2.20.0 py_0
decorator 4.4.2 py_0
defusedxml 0.6.0 py_0
diff-match-patch 20200713 py_0
distributed 2.20.0 py37_0
docutils 0.16 py37_1
entrypoints 0.3 py37_0
et_xmlfile 1.0.1 py_1001
fastcache 1.1.0 py37he774522_0
filelock 3.0.12 py_0
flake8 3.8.3 py_0
flask 1.1.2 py_0
freetype 2.10.2 hd328e21_0
fsspec 0.7.4 py_0
future 0.18.2 py37_1
get_terminal_size 1.0.0 h38e98db_0
gevent 20.6.2 py37he774522_0
glob2 0.7 py_0
gmpy2 2.0.8 py37h0964b28_3
greenlet 0.4.16 py37he774522_0
h5py 2.10.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
heapdict 1.0.1 py_0
html5lib 1.1 py_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 py_0
imageio 2.9.0 py_0
imagesize 1.2.0 py_0
importlib-metadata 1.7.0 py37_0
importlib_metadata 1.7.0 0
intel-openmp 2019.4 245
intervaltree 3.0.2 py_1
ipykernel 5.3.2 py37h5ca1d4c_0
ipython 7.16.1 py37h5ca1d4c_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.5.1 py_0
isort 4.3.21 py37_0
itsdangerous 1.1.0 py37_0
jdcal 1.4.1 py_0
jedi 0.17.1 py37_0
jinja2 2.11.2 py_0
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
json5 0.9.5 py_0
jsonschema 3.2.0 py37_1
jupyter 1.0.0 py37_7
jupyter_client 6.1.6 py_0
jupyter_console 6.1.0 py_0
jupyter_core 4.6.3 py37_0
jupyterlab 2.1.5 py_0
jupyterlab_server 1.2.0 py_0
keyring 21.2.1 py37_0
kiwisolver 1.2.0 py37h74a9793_0
krb5 1.18.2 hc04afaa_0
lazy-object-proxy 1.4.3 py37he774522_0
libarchive 3.4.2 h5e25573_0
libcurl 7.71.1 h2a8f88b_1
libiconv 1.15 h1df5818_7
liblief 0.10.1 ha925a31_0
libllvm9 9.0.1 h21ff451_0
libpng 1.6.37 h2a8f88b_0
libsodium 1.0.18 h62dcd97_0
libspatialindex 1.9.3 h33f27b4_0
libssh2 1.9.0 h7a1dbc1_1
libtiff 4.1.0 h56a325e_1
libxml2 2.9.10 h464c3ec_1
libxslt 1.1.34 he774522_0
llvmlite 0.33.0 py37ha925a31_0
locket 0.2.0 py37_1
lxml 4.5.2 py37h1350720_0
lz4-c 1.9.2 h62dcd97_0
lzo 2.10 he774522_2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.1.1 py37hfa6e2cd_1
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py37h64f37c6_0
mccabe 0.6.1 py37_1
menuinst 1.4.16 py37he774522_1
mistune 0.8.4 py37hfa6e2cd_1001
mkl 2019.4 245
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.14 py37h6288b17_0
mkl_random 1.0.4 py37h343c172_0
mock 4.0.2 py_0
more-itertools 8.4.0 py_0
mpc 1.1.0 h7edee0f_1
mpfr 4.0.2 h62dcd97_1
mpir 3.0.0 hec2e145_1
mpmath 1.1.0 py37_0
msgpack-python 1.0.0 py37h74a9793_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.6.1 py37_1
nbformat 5.0.7 py_0
networkx 2.4 py_1
ninja 1.9.0 py37h74a9793_0
nltk 3.5 py_0
nose 1.3.7 py37_1004
notebook 6.0.3 py37_0
numba 0.50.1 py37h47e9c7a_0
numexpr 2.7.1 py37h25d0782_0
numpy 1.17.0 py37h19fb1c0_0
numpy-base 1.17.0 py37hc3f5095_0
numpydoc 1.1.0 py_0
olefile 0.46 py37_0
openpyxl 3.0.4 py_0
openssl 1.1.1g he774522_0
packaging 20.4 py_0
pandas 1.0.5 py37h47e9c7a_0
pandoc 2.10 0
pandocfilters 1.4.2 py37_1
paramiko 2.7.1 py_0
parso 0.7.0 py_0
partd 1.1.0 py_0
path 13.1.0 py37_0
path.py 12.4.0 0
pathlib2 2.3.5 py37_1
pathtools 0.1.2 py_1
patsy 0.5.1 py37_0
pep8 1.7.1 py37_0
pexpect 4.8.0 py37_1
pickleshare 0.7.5 py37_1001
pillow 7.2.0 py37hcc1f983_0
pip 20.1.1 py37_1
pkginfo 1.5.0.1 py37_0
pluggy 0.13.1 py37_0
ply 3.11 py37_0
powershell_shortcut 0.0.1 3
prometheus_client 0.8.0 py_0
prompt-toolkit 3.0.5 py_0
prompt_toolkit 3.0.5 0
psutil 5.7.0 py37he774522_0
py 1.9.0 py_0
py-lief 0.10.1 py37ha925a31_0
pybson 0.5.9 pypi_0 pypi
pyclustering 0.9.3.1 pypi_0 pypi
pycodestyle 2.6.0 py_0
pycosat 0.6.3 py37he774522_0
pycparser 2.20 py_2
pycrypto 2.6.1 py37he774522_10
pycurl 7.43.0.5 py37h7a1dbc1_0
pydocstyle 5.0.2 py_0
pyflakes 2.2.0 py_0
pygments 2.6.1 py_0
pylint 2.5.3 py37_0
pymongo 3.9.0 py37ha925a31_0
pynacl 1.4.0 py37h62dcd97_1
pyodbc 4.0.30 py37ha925a31_0
pyopenssl 19.1.0 py_1
pyparsing 2.4.7 py_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
pyrsistent 0.16.0 py37he774522_0
pysocks 1.7.1 py37_1
pytables 3.6.1 py37h1da0976_0
pytest 5.4.3 py37_0
python 3.7.7 h81c818b_4
python-dateutil 2.8.1 py_0
python-jsonrpc-server 0.3.4 py_1
python-language-server 0.34.1 py37_0
python-libarchive-c 2.9 py_0
pytorch 1.6.0 py3.7_cuda102_cudnn7_0 pytorch
pytz 2020.1 py_0
pywavelets 1.1.1 py37he774522_0
pywin32 227 py37he774522_1
pywin32-ctypes 0.2.0 py37_1001
pywinpty 0.5.7 py37_0
pyyaml 5.3.1 py37he774522_1
pyzmq 19.0.1 py37ha925a31_1
qdarkstyle 2.8.1 py_0
qt 5.9.7 vc14h73c81de_0
qtawesome 0.7.2 py_0
qtconsole 4.7.5 py_0
qtpy 1.9.0 py_0
regex 2020.6.8 py37he774522_0
requests 2.24.0 py_0
rope 0.17.0 py_0
rtree 0.9.4 py37h21ff451_1
ruamel_yaml 0.15.87 py37he774522_1
scikit-image 0.16.2 py37h47e9c7a_0
scikit-learn 0.23.1 py37h25d0782_0
scipy 1.5.0 py37h9439919_0
seaborn 0.10.1 py_0
send2trash 1.5.0 py37_0
setuptools 49.2.0 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37h6538335_0
six 1.15.0 py_0
snappy 1.1.8 h33f27b4_0
snowballstemmer 2.0.0 py_0
sortedcollections 1.2.1 py_0
sortedcontainers 2.2.2 py_0
soupsieve 2.0.1 py_0
sphinx 3.1.2 py_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-applehelp 1.0.2 py_0
sphinxcontrib-devhelp 1.0.2 py_0
sphinxcontrib-htmlhelp 1.0.3 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.3 py_0
sphinxcontrib-serializinghtml 1.1.4 py_0
sphinxcontrib-websupport 1.2.3 py_0
spyder 4.1.4 py37_0
spyder-kernels 1.9.2 py37_0
sqlalchemy 1.3.18 py37he774522_0
sqlite 3.32.3 h2a8f88b_0
statsmodels 0.11.1 py37he774522_0
sympy 1.6.1 py37_0
tbb 2020.0 h74a9793_0
tblib 1.6.0 py_0
terminado 0.8.3 py37_0
testpath 0.4.4 py_0
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
toml 0.10.1 py_0
toolz 0.10.0 py_0
torchvision 0.7.0 py37_cu102 pytorch
tornado 6.0.4 py37he774522_1
tqdm 4.47.0 py_0
traitlets 4.3.3 py37_0
typed-ast 1.4.1 py37he774522_0
typing_extensions 3.7.4.2 py_0
ujson 1.35 py37hfa6e2cd_0
unicodecsv 0.14.1 py37_0
urllib3 1.25.9 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
watchdog 0.10.3 py37_0
wcwidth 0.2.5 py_0
webencodings 0.5.1 py37_1
werkzeug 1.0.1 py_0
wheel 0.34.2 py37_0
widgetsnbextension 3.5.1 py37_0
win_inet_pton 1.1.0 py37_0
win_unicode_console 0.5 py37_0
wincertstore 0.2 py37_0
winpty 0.4.3 4
wrapt 1.11.2 py37he774522_0
xlrd 1.2.0 py37_0
xlsxwriter 1.2.9 py_0
xlwings 0.19.5 py37_0
xlwt 1.3.0 py37_0
xmltodict 0.12.0 py_0
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
yapf 0.30.0 py_0
zeromq 4.3.2 ha925a31_2
zict 2.0.0 py_0
zipp 3.1.0 py_0
zlib 1.2.11 h62dcd97_4
zope 1.0 py37_1
zope.event 4.4 py37_0
zope.interface 4.7.1 py37he774522_0
zstd 1.4.5 ha9fde0e_0
答案 0 :(得分：0)
您可以尝试使用conda install -c anaconda cudnn显式安装CuDNN。然后conda list cudnn应该显示CuDNN。