Tensorflow之环境版本匹配问题
相信很多同学在用tensorflow的时候，都被环境折磨得不要不要的…只要有某一个包不匹配，就会出现运行错误……版本高了低了都可能出现问题……（真的是恶心）
1 tensorflow与pip包对应关系
万幸，有人把环境做了一个系统的整理，只需要找到你安装的tensorflow版本，就可以看到你需要匹配的其它包的版本信息
链接是：https://docs.floydhub.com/guides/tensorflow/
比如你要安装tensorflow-1.14，你可以看到其它python包的版本信息如下
absl-py==0.8.0
annoy==1.16.0
args==0.1.0
astor==0.8.0
atari-py==0.2.6
attrs==19.1.0
backcall==0.1.0
bleach==3.0.2
blis==0.2.4
box2d-py==2.3.8
cachetools==3.1.1
certifi==2019.6.16
cffi==1.12.3 (GPU machines)
chardet==3.0.4
click==6.7
clint==0.5.1
cloudpickle==1.2.1 (GPU machines)
cudf-cuda92==0.6.1 (GPU machines)
cuml-cuda92==0.6.1 (GPU machines)
cupy==5.1.0 (GPU machines)
cupy-cuda92==6.3.0 (GPU machines)
cycler==0.10.0
cymem==2.0.2
Cython==0.29.2
cytoolz==0.10.0
decorator==4.3.0
defusedxml==0.5.0 (GPU machines)
dlib==19.17.0
entrypoints==0.2.3
fastrlock==0.4 (GPU machines)
Flask==1.1.0
floyd-cli==0.11.17
funcsigs==1.0.2
future==0.17.1
gast==0.2.2
google-pasta==0.1.7
grpcio==1.23.0
gym==0.14.0
gym-retro==0.7.0
h5py==2.9.0
idna==2.8
imageio==2.5.0
importlib-metadata==0.8
incremental==17.5.0
ipykernel==5.1.0
ipython==7.2.0
ipython-genutils==0.2.0
ipywidgets==7.4.2
itsdangerous==1.1.0
jedi==0.13.2
jellyfish==0.6.1
Jinja2==2.10.1
joblib==0.13.2
json5==0.8.5
jsonschema==3.0.2
jupyter==1.0.0
jupyter-client==5.2.4
jupyter-console==6.0.0
jupyter-core==4.4.0
jupyterlab==1.0.9
jupyterlab-server==1.0.6
kaggle==1.5.5
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.0.1
llvmlite==0.29.0 (GPU machines)
Markdown==3.1.1
MarkupSafe==1.1.0
marshmallow==2.20.2
matplotlib==3.0.2
menpo==0.9.2
mistune==0.8.4
mock==3.0.5
mpmath==1.1.0
murmurhash==1.0.2
nbconvert==5.4.0
nbformat==4.4.0
networkx==2.3
nltk==3.4.5
notebook==5.6.0
numba==0.41.0 (GPU machines)
numpy==1.15.4
nvstrings-cuda92==0.3.0.post1 (GPU machines)
opencv-contrib-python==3.4.0.12
opencv-python==4.1.0.25
pandas==0.23.4
pandocfilters==1.4.2
parso==0.3.1
path.py==11.5.0
pathlib2==2.3.4
pbr==5.4.2
pexpect==4.6.0
pickleshare==0.7.5
Pillow==5.4.0
plac==0.9.6
plotly==4.1.0
preshed==2.0.1
prometheus-client==0.5.0
prompt-toolkit==2.0.7
protobuf==3.9.1
ptyprocess==0.6.0
pyarrow==0.12.1 (GPU machines)
pycparser==2.19 (GPU machines)
pydot==1.4.1
pyemd==0.5.1
pyglet==1.3.2
Pygments==2.3.1
pynvrtc==9.2
PyOpenGL==3.1.0
PyOpenGL-accelerate==3.1.0
pyparsing==2.3.0
Pyphen==0.9.5
pyrsistent==0.15.4
python-dateutil==2.7.5
python-slugify==3.0.3
pytz==2018.7
PyWavelets==1.0.3
PyYAML==3.13
pyzmq==17.1.2
qtconsole==4.4.3
raven==6.10.0
requests==2.22.0
requests-toolbelt==0.9.1
retrowrapper==0.3.0
retrying==1.3.3
scikit-image==0.15.0
scikit-learn==0.20.2
scikit-umfpack==0.3.2
scipy==1.2.0
seaborn==0.9.0
Send2Trash==1.5.0
six==1.12.0
sklearn==0.0
spacy==2.1.8
srsly==0.1.0
sympy==1.3
tabulate==0.8.3
tensorboard==1.14.0
tensorflow==1.14.0
tensorflow-estimator==1.14.0
termcolor==1.1.0
terminado==0.8.1
testpath==0.4.2
text-unidecode==1.2
textacy==0.8.0
tflearn==0.3.2
thinc==7.0.8
toolz==0.10.0
tornado==5.1.1
tqdm==4.35.0
traitlets==4.3.2
urllib3==1.24.3
uWSGI==2.0.18
virtualenv==16.2.0
wasabi==0.2.2
wcwidth==0.1.7
webencodings==0.5.1
Werkzeug==0.15.5
widgetsnbextension==3.4.2
wrapt==1.11.2
xgboost==0.81
zipp==0.3.3 (GPU machines)
zmq==0.0.0这样我们就可以根据这些信息来安装其它包了，减少入坑次数……
2 tensorflow与keras对应关系
链接：https://docs.floydhub.com/guides/environments/
| Framework | Env name (--env parameter) | Description | Docker Image | Packages and Nvidia Settings |
|---|---|---|---|---|
| TensorFlow 2.2 | tensorflow-2.2 | TensorFlow 2.2.0 + Keras 2.3.1 on Python 3.7. | floydhub/tensorflow | TensorFlow-2.2 |
| TensorFlow 2.1 | tensorflow-2.1 | TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6. | floydhub/tensorflow | TensorFlow-2.1 |
| TensorFlow 2.0 | tensorflow-2.0 | TensorFlow 2.0.0 + Keras 2.3.1 on Python 3.6. | floydhub/tensorflow | TensorFlow-2.0 |
| TensorFlow 1.15 | tensorflow-1.15 | TensorFlow 1.15.0 + Keras 2.3.1 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.15 |
| TensorFlow 1.14 | tensorflow-1.14 | TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.14 |
| TensorFlow 1.13 | tensorflow-1.13 | TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.13 |
| TensorFlow 1.12 | tensorflow-1.12 | TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.12 |
| tensorflow-1.12:py2 | TensorFlow 1.12.0 + Keras 2.2.4 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.11 | tensorflow-1.11 | TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.11 |
| tensorflow-1.11:py2 | TensorFlow 1.11.0 + Keras 2.2.4 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.10 | tensorflow-1.10 | TensorFlow 1.10.0 + Keras 2.2.0 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.10 |
| tensorflow-1.10:py2 | TensorFlow 1.10.0 + Keras 2.2.0 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.9 | tensorflow-1.9 | TensorFlow 1.9.0 + Keras 2.2.0 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.9 |
| tensorflow-1.9:py2 | TensorFlow 1.9.0 + Keras 2.2.0 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.8 | tensorflow-1.8 | TensorFlow 1.8.0 + Keras 2.1.6 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.8 |
| tensorflow-1.8:py2 | TensorFlow 1.8.0 + Keras 2.1.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.7 | tensorflow-1.7 | TensorFlow 1.7.0 + Keras 2.1.6 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.7 |
| tensorflow-1.7:py2 | TensorFlow 1.7.0 + Keras 2.1.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.5 | tensorflow-1.5 | TensorFlow 1.5.0 + Keras 2.1.6 on Python 3.6. | floydhub/tensorflow | TensorFlow-1.5 |
| tensorflow-1.5:py2 | TensorFlow 1.5.0 + Keras 2.1.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.4 | tensorflow-1.4 | TensorFlow 1.4.0 + Keras 2.0.8 on Python 3.6. | floydhub/tensorflow | |
| tensorflow-1.4:py2 | TensorFlow 1.4.0 + Keras 2.0.8 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.3 | tensorflow-1.3 | TensorFlow 1.3.0 + Keras 2.0.6 on Python 3.6. | floydhub/tensorflow | |
| tensorflow-1.3:py2 | TensorFlow 1.3.0 + Keras 2.0.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.2 | tensorflow-1.2 | TensorFlow 1.2.0 + Keras 2.0.6 on Python 3.5. | floydhub/tensorflow | |
| tensorflow-1.2:py2 | TensorFlow 1.2.0 + Keras 2.0.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.1 | tensorflow | TensorFlow 1.1.0 + Keras 2.0.6 on Python 3.5. | floydhub/tensorflow | |
| tensorflow:py2 | TensorFlow 1.1.0 + Keras 2.0.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 1.0 | tensorflow-1.0 | TensorFlow 1.0.0 + Keras 2.0.6 on Python 3.5. | floydhub/tensorflow | |
| tensorflow-1.0:py2 | TensorFlow 1.0.0 + Keras 2.0.6 on Python 2. | floydhub/tensorflow | ||
| TensorFlow 0.12 | tensorflow-0.12 | TensorFlow 0.12.1 + Keras 1.2.2 on Python 3.5. | floydhub/tensorflow | |
| tensorflow-0.12:py2 | TensorFlow 0.12.1 + Keras 1.2.2 on Python 2. | floydhub/tensorflow | ||
| PyTorch 1.5 | pytorch-1.5 | PyTorch 1.5.0 + fastai 1.0.61 on Python 3.7. | floydhub/pytorch | PyTorch-1.5 |
| PyTorch 1.4 | pytorch-1.4 | PyTorch 1.4.0 + fastai 1.0.60 on Python 3.6. | floydhub/pytorch | PyTorch-1.4 |
| PyTorch 1.3 | pytorch-1.3 | PyTorch 1.3.0 + fastai 1.0.60 on Python 3.6. | floydhub/pytorch | PyTorch-1.3 |
| PyTorch 1.2 | pytorch-1.2 | PyTorch 1.2.0 + fastai 1.0.60 on Python 3.6. | floydhub/pytorch | PyTorch-1.2 |
| PyTorch 1.1 | pytorch-1.1 | PyTorch 1.1.0 + fastai 1.0.57 on Python 3.6. | floydhub/pytorch | PyTorch-1.1 |
| PyTorch 1.0 | pytorch-1.0 | PyTorch 1.0.0 + fastai 1.0.51 on Python 3.6. | floydhub/pytorch | PyTorch-1.0 |
| pytorch-1.0:py2 | PyTorch 1.0.0 on Python 2. | floydhub/pytorch | ||
| PyTorch 0.4 | pytorch-0.4 | PyTorch 0.4.1 on Python 3.6. | floydhub/pytorch | PyTorch-0.4 |
| pytorch-0.4:py2 | PyTorch 0.4.1 on Python 2. | floydhub/pytorch | ||
| PyTorch 0.3 | pytorch-0.3 | PyTorch 0.3.1 on Python 3.6. | floydhub/pytorch | PyTorch-0.3 |
| pytorch-0.3:py2 | PyTorch 0.3.1 on Python 2. | floydhub/pytorch | ||
| PyTorch 0.2 | pytorch-0.2 | PyTorch 0.2.0 on Python 3.5 | floydhub/pytorch | |
| pytorch-0.2:py2 | PyTorch 0.2.0 on Python 2. | floydhub/pytorch | ||
| PyTorch 0.1 | pytorch-0.1 | PyTorch 0.1.12 on Python 3. | floydhub/pytorch | |
| pytorch-0.1:py2 | PyTorch 0.1.12 on Python 2. | floydhub/pytorch | ||
| Theano 0.9 | theano-0.9 | Theano rel-0.8.2 + Keras 2.0.3 on Python3.5. | floydhub/theano | |
| theano-0.9:py2 | Theano rel-0.8.2 + Keras 2.0.3 on Python2. | floydhub/theano | ||
| Caffe | caffe | Caffe rc4 on Python3.5. | floydhub/caffe | |
| caffe:py2 | Caffe rc4 on Python2. | floydhub/caffe | ||
| Torch | torch | Torch 7 with Python 3 env. | floydhub/torch | |
| torch:py2 | Torch 7 with Python 2 env. | floydhub/torch | ||
| Chainer 1.23 | chainer-1.23 | Chainer 1.23.0 on Python 3. | floydhub/chainer | |
| chainer-1.23:py2 | Chainer 1.23.0 on Python 2. | floydhub/chainer | ||
| Chainer 2.0 | chainer-2.0 | Chainer 1.23.0 on Python 3. | floydhub/chainer | |
| chainer-2.0:py2 | Chainer 1.23.0 on Python 2. | floydhub/chainer | ||
| MxNet 1.0 | mxnet | MxNet 1.0.0 on Python 3.6. | floydhub/mxnet | |
| mxnet:py2 | MxNet 1.0.0 on Python 2. | floydhub/mxnet |