鉴于我安装卸载了这么多次，根本上是anaconda是个傻逼。
issue在此：https://github.com/tensorflow/tensorflow/issues/34214
$ conda search cudnn
Loading channels: done
# Name Version Build Channel
cudnn 7.0.5 cuda8.0_0 pkgs/main
cudnn 7.1.2 cuda9.0_0 pkgs/main
cudnn 7.1.3 cuda8.0_0 pkgs/main
cudnn 7.2.1 cuda9.2_0 pkgs/main
cudnn 7.3.1 cuda10.0_0 pkgs/main
cudnn 7.3.1 cuda9.0_0 pkgs/main
cudnn 7.3.1 cuda9.2_0 pkgs/main
cudnn 7.6.0 cuda10.0_0 pkgs/main
cudnn 7.6.0 cuda10.1_0 pkgs/main
cudnn 7.6.0 cuda9.0_0 pkgs/main
cudnn 7.6.0 cuda9.2_0 pkgs/main
cudnn 7.6.4 cuda10.0_0 pkgs/main
cudnn 7.6.4 cuda10.1_0 pkgs/main
cudnn 7.6.4 cuda9.0_0 pkgs/main
cudnn 7.6.4 cuda9.2_0 pkgs/main 如果直接安装cudnn7.6.4，它直接给我安装cuda是10.1的，而我的cuda driver是410.129的，按照我这个博文，根本不匹配。
conda install cudnn==7.6.4
Collecting package metadata (repodata.json): done
Solving environment: done
# All requested packages already installed.
卸载cudnn，重新再次安装：
$ conda uninstall cudnn
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /data/prod/anaconda3
removed specs:
- cudnn
The following packages will be downloaded:
package | build
---------------------------|-----------------
cffi-1.13.2 | py37h2e261b9_0 225 KB
dask-2.8.0 | py_1 12 KB
dask-core-2.8.0 | py_0 584 KB
distributed-2.8.0 | py_1 400 KB
fsspec-0.6.0 | py_0 50 KB
notebook-6.0.2 | py37_0 6.3 MB
psutil-5.6.5 | py37h7b6447c_0 328 KB
pyparsing-2.4.4 | py_0 62 KB
six-1.13.0 | py37_0 27 KB
------------------------------------------------------------
Total: 7.9 MB
The following packages will be REMOVED:
_tflow_select-2.1.0-gpu
absl-py-0.8.1-py37_0
astor-0.8.0-py37_0
c-ares-1.15.0-h7b6447c_1001
cudatoolkit-10.1.243-h6bb024c_0
cudnn-7.6.4-cuda10.1_0
cupti-10.1.168-0
gast-0.3.2-py_0
google-pasta-0.1.7-py_0
grpcio-1.16.1-py37hf8bcb03_1
keras-applications-1.0.8-py_0
keras-preprocessing-1.1.0-py_1
libprotobuf-3.9.2-hd408876_0
markdown-3.1.1-py37_0
protobuf-3.9.2-py37he6710b0_0
tensorboard-1.14.0-py37hf484d3e_0
tensorflow-1.14.0-gpu_py37h74c33d7_0
tensorflow-base-1.14.0-gpu_py37he45bfe2_0
tensorflow-estimator-1.14.0-py_0
tensorflow-gpu-1.14.0-h0d30ee6_0
termcolor-1.1.0-py37_1
The following packages will be UPDATED:
cffi 1.13.1-py37h2e261b9_0 --> 1.13.2-py37h2e261b9_0
dask 2.6.0-py_0 --> 2.8.0-py_1
dask-core 2.6.0-py_0 --> 2.8.0-py_0
distributed 2.6.0-py_0 --> 2.8.0-py_1
fsspec 0.5.2-py_0 --> 0.6.0-py_0
notebook 6.0.1-py37_0 --> 6.0.2-py37_0
psutil 5.6.3-py37h7b6447c_0 --> 5.6.5-py37h7b6447c_0
pyparsing 2.4.2-py_0 --> 2.4.4-py_0
six 1.12.0-py37_0 --> 1.13.0-py37_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
psutil-5.6.5 | 328 KB | ####################################################################### | 100%
six-1.13.0 | 27 KB | ####################################################################### | 100%
cffi-1.13.2 | 225 KB | ####################################################################### | 100%
fsspec-0.6.0 | 50 KB | ####################################################################### | 100%
dask-core-2.8.0 | 584 KB | ####################################################################### | 100%
pyparsing-2.4.4 | 62 KB | ####################################################################### | 100%
notebook-6.0.2 | 6.3 MB | ####################################################################### | 100%
distributed-2.8.0 | 400 KB | ####################################################################### | 100%
dask-2.8.0 | 12 KB | ####################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
安装cudnn还是给我安装cuda10.1,我特么能说啥？？？？
conda install cudnn==7.6.4
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /./anaconda3
added / updated specs:
- cudnn==7.6.4
The following NEW packages will be INSTALLED:
cudatoolkit pkgs/main/linux-64::cudatoolkit-10.1.243-h6bb024c_0
cudnn pkgs/main/linux-64::cudnn-7.6.4-cuda10.1_0
然而我y 后发现根本就没给我安装。。。。。。。。。anaconda这个操作也是6到家了
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
$ pip list
Package Version
---------------------------------- -------------------
absl-py 0.8.1
alabaster 0.7.12
anaconda-client 1.7.2
anaconda-navigator 1.9.7
anaconda-project 0.8.3
asn1crypto 1.2.0
astor 0.8.0
astroid 2.3.2
astropy 3.2.3
atomicwrites 1.3.0
attrs 19.3.0
audioread 2.1.8
Babel 2.7.0
backcall 0.1.0
backports.os 0.1.1
backports.shutil-get-terminal-size 1.0.0
beautifulsoup4 4.8.1
bitarray 1.0.1
bkcharts 0.2
bleach 3.1.0
bokeh 1.4.0
boto 2.49.0
Bottleneck 1.2.1
cachetools 3.1.1
certifi 2019.9.11
cffi 1.13.2
chardet 3.0.4
Click 7.0
cloudpickle 1.2.2
clyent 1.2.2
colorama 0.4.1
conda 4.7.12
conda-build 3.17.8
conda-package-handling 1.6.0
conda-verify 3.1.1
contextlib2 0.6.0
cryptography 2.8
cycler 0.10.0
Cython 0.29.13
cytoolz 0.10.0
dask 2.8.0
decorator 4.4.1
defusedxml 0.6.0
distributed 2.8.0
docutils 0.15.2
entrypoints 0.3
et-xmlfile 1.0.1
falcon 2.0.0
fastcache 1.1.0
filelock 3.0.12
Flask 1.1.1
fsspec 0.6.0
future 0.18.2
gast 0.2.2
gevent 1.4.0
glob2 0.7
gmpy2 2.0.8
google-auth 1.7.0
google-auth-oauthlib 0.4.1
google-pasta 0.1.8
greenlet 0.4.15
grpcio 1.25.0
h5py 2.9.0
HeapDict 1.0.1
html5lib 1.0.1
idna 2.8
imageio 2.6.1
imagesize 1.1.0
importlib-metadata 0.23
inflect 3.0.2
ipykernel 5.1.3
ipython 7.9.0
ipython-genutils 0.2.0
ipywidgets 7.5.1
isort 4.3.21
itsdangerous 1.1.0
jdcal 1.4.1
jedi 0.15.1
jeepney 0.4.1
Jinja2 2.10.3
joblib 0.14.0
json5 0.8.5
jsonschema 3.1.1
jupyter 1.0.0
jupyter-client 5.3.4
jupyter-console 6.0.0
jupyter-core 4.6.1
jupyterlab 1.1.4
jupyterlab-server 1.0.6
Keras 2.3.1
keyring 18.0.0
kiwisolver 1.1.0
lazy-object-proxy 1.4.3
libarchive-c 2.8
librosa 0.6.0
lief 0.9.0
llvmlite 0.30.0
locket 0.2.0
lxml 4.4.1
MarkupSafe 1.1.1
matplotlib 3.1.1
mccabe 0.6.1
mistune 0.8.4
mkl-fft 1.0.15
mkl-random 1.1.0
mkl-service 2.3.0
mock 3.0.5
more-itertools 7.2.0
mpmath 1.1.0
msgpack 0.6.1
multipledispatch 0.6.0
navigator-updater 0.2.1
nbconvert 5.6.1
nbformat 4.4.0
networkx 2.4
nltk 3.4.5
nose 1.3.7
notebook 6.0.2
numba 0.46.0
numexpr 2.7.0
numpy 1.17.3
numpydoc 0.9.1
oauthlib 3.1.0
olefile 0.46
opencv-python 4.1.1.26
openpyxl 3.0.0
opt-einsum 3.1.0
packaging 19.2
pandas 0.25.2
pandocfilters 1.4.2
parso 0.5.1
partd 1.0.0
path.py 12.0.1
pathlib2 2.3.5
patsy 0.5.1
pep8 1.7.1
pexpect 4.7.0
pickleshare 0.7.5
Pillow 6.2.1
pip 19.3.1
pkginfo 1.5.0.1
pluggy 0.13.0
ply 3.11
prometheus-client 0.7.1
prompt-toolkit 2.0.10
protobuf 3.10.0
psutil 5.6.5
ptyprocess 0.6.0
py 1.8.0
pyasn1 0.4.7
pyasn1-modules 0.2.7
pycodestyle 2.5.0
pycosat 0.6.3
pycparser 2.19
pycrypto 2.6.1
pycurl 7.43.0.3
pyflakes 2.1.1
Pygments 2.4.2
pylint 2.4.3
pyodbc 4.0.27
pyOpenSSL 19.0.0
pyparsing 2.4.4
pyrsistent 0.15.4
PySocks 1.7.1
pytest 5.2.2
pytest-arraydiff 0.3
pytest-astropy 0.5.0
pytest-doctestplus 0.4.0
pytest-openfiles 0.4.0
pytest-remotedata 0.3.2
python-dateutil 2.8.1
pytz 2019.3
PyWavelets 1.1.1
PyYAML 5.1.2
pyzmq 18.1.0
QtAwesome 0.6.0
qtconsole 4.5.5
QtPy 1.9.0
requests 2.22.0
requests-oauthlib 1.3.0
resampy 0.2.2
rope 0.14.0
rsa 4.0
ruamel-yaml 0.15.46
scikit-image 0.15.0
scikit-learn 0.21.3
scipy 1.3.1
seaborn 0.9.0
SecretStorage 3.1.1
Send2Trash 1.5.0
setuptools 41.6.0.post20191030
simplegeneric 0.8.1
singledispatch 3.4.0.3
six 1.13.0
snowballstemmer 2.0.0
sortedcollections 1.1.2
sortedcontainers 2.1.0
soupsieve 1.9.3
Sphinx 2.2.1
sphinxcontrib-applehelp 1.0.1
sphinxcontrib-devhelp 1.0.1
sphinxcontrib-htmlhelp 1.0.2
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.2
sphinxcontrib-serializinghtml 1.1.3
sphinxcontrib-websupport 1.1.2
spyder 3.3.6
spyder-kernels 0.5.2
SQLAlchemy 1.3.10
statsmodels 0.10.1
sympy 1.4
tables 3.6.1
tblib 1.5.0
tensorflow-estimator 1.14.0
tensorflow-gpu 1.14.0
termcolor 1.1.0
terminado 0.8.2
testpath 0.4.2
toolz 0.10.0
tornado 6.0.3
tqdm 4.36.1
traitlets 4.3.3
unicodecsv 0.14.1
Unidecode 1.1.1
urllib3 1.24.2
wcwidth 0.1.7
webencodings 0.5.1
Werkzeug 0.16.0
wheel 0.33.6
widgetsnbextension 3.5.1
wrapt 1.11.2
wurlitzer 1.0.3
xlrd 1.2.0
XlsxWriter 1.2.2
xlwt 1.3.0
zict 1.0.0
zipp 0.6.0 别告诉我这里看不到cudnn。。
总之conda是个垃圾玩意。
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