Deep neural network conda environment download
Introducion
Because downloading data using conda is sometimes very slow due to network problems, I back up the conda environment, and then I can directly use conda’s conda create -n new environment name–clone environment path, directly under the original path The environment is cloned into the new environment.
Description
- Requre Anaconda3
- Requre python version 3.6
- Include tensorflow2.1.0, tensorflow-gpu 2.1.0, tensorflow-estimator 2.1.0, matplotlib 3.3.1
- Link：https://pan.baidu.com/s/1oknMKXmlVZktNBJ4q4uPTA
Extraction code：3c1s
List of included libraries
# Name Version Build Channel
_tflow_select 2.1.0 gpu defaults
absl-py 0.8.0 py36_0 defaults
astor 0.8.0 py36_0 defaults
blas 1.0 mkl defaults
blinker 1.4 py_1 conda-forge
brotlipy 0.7.0 py36h779f372_1000 conda-forge
ca-certificates 2020.7.22 0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cachetools 4.1.1 py_0 conda-forge
certifi 2020.6.20 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cffi 1.14.1 py36hef61171_0 conda-forge
chardet 3.0.4 py36h9f0ad1d_1006 conda-forge
click 7.1.2 pyh9f0ad1d_0 conda-forge
cryptography 3.1 py36hef61171_0 conda-forge
cudatoolkit 10.1.243 h74a9793_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cudnn 7.6.5 cuda10.1_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cycler 0.10.0 py36h009560c_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
freetype 2.10.2 hd328e21_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gast 0.2.2 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
google-auth 1.21.1 py_0 conda-forge
google-auth-oauthlib 0.4.1 py_2 conda-forge
google-pasta 0.2.0 pyh8c360ce_0 conda-forge
grpcio 1.31.0 py36h4285a62_0 conda-forge
h5py 2.9.0 py36h5e291fa_0 defaults
hdf5 1.10.4 h7ebc959_0 defaults
icc_rt 2019.0.0 h0cc432a_1 defaults
icu 58.2 ha925a31_3 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
idna 2.10 pyh9f0ad1d_0 conda-forge
intel-openmp 2019.4 245 defaults
jpeg 9b hb83a4c4_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
keras-applications 1.0.8 py_0 defaults
keras-preprocessing 1.1.0 py_1 defaults
kiwisolver 1.2.0 py36h74a9793_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libpng 1.6.37 h2a8f88b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libprotobuf 3.9.2 h7bd577a_0 defaults
libtiff 4.1.0 h56a325e_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
lz4-c 1.9.2 h62dcd97_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
markdown 3.1.1 py36_0 defaults
matplotlib 3.3.1 0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
matplotlib-base 3.3.1 py36hba9282a_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
mkl 2019.4 245 defaults
mkl-service 2.3.0 py36hb782905_0 defaults
mkl_fft 1.0.14 py36h14836fe_0 defaults
mkl_random 1.1.0 py36h675688f_0 defaults
numpy 1.16.5 py36h19fb1c0_0 defaults
numpy-base 1.16.5 py36hc3f5095_0 defaults
oauthlib 3.0.1 py_0 conda-forge
olefile 0.46 py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
openssl 1.1.1g he774522_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
opt_einsum 3.3.0 py_0 conda-forge
pillow 7.2.0 py36hcc1f983_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pip 19.2.3 py36_0 defaults
protobuf 3.9.2 py36h33f27b4_0 defaults
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.7 py_0 conda-forge
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pyjwt 1.7.1 py_0 conda-forge
pyopenssl 19.1.0 py_1 conda-forge
pyparsing 2.4.7 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pyqt 5.9.2 py36h6538335_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pyreadline 2.1 py36_1 defaults
pysocks 1.7.1 py36h9f0ad1d_1 conda-forge
python 3.6.9 h5500b2f_0 defaults
python-dateutil 2.8.1 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
python_abi 3.6 1_cp36m conda-forge
qt 5.9.7 vc14h73c81de_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
requests 2.24.0 pyh9f0ad1d_0 conda-forge
requests-oauthlib 1.3.0 pyh9f0ad1d_0 conda-forge
rsa 4.6 pyh9f0ad1d_0 conda-forge
scipy 1.3.1 py36h29ff71c_0 defaults
setuptools 41.4.0 py36_0 defaults
sip 4.19.8 py36h6538335_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
six 1.12.0 py36_0 defaults
sqlite 3.30.0 he774522_0 defaults
tensorboard 2.3.0 py_0 conda-forge
tensorboard-plugin-wit 1.6.0 pyh9f0ad1d_0 conda-forge
tensorflow 2.1.0 gpu_py36h3346743_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mai
tensorflow-base 2.1.0 gpu_py36h55f5790_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mai
tensorflow-estimator 2.1.0 pyhd54b08b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tensorflow-gpu 2.1.0 h0d30ee6_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
termcolor 1.1.0 py36_1 defaults
tk 8.6.10 he774522_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tornado 6.0.4 py36he774522_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
urllib3 1.25.10 py_0 conda-forge
vc 14.1 h0510ff6_4 defaults
vs2015_runtime 14.16.27012 hf0eaf9b_0 defaults
werkzeug 0.16.0 py_0 defaults
wheel 0.33.6 py36_0 defaults
win_inet_pton 1.1.0 py36_0 conda-forge
wincertstore 0.2 py36h7fe50ca_0 defaults
wrapt 1.11.2 py36he774522_0 defaults
xz 5.2.5 h62dcd97_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
zlib 1.2.11 h62dcd97_3 defaults
zstd 1.4.5 h04227a9_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main