DL中版本配置问题：TensorFlow、Keras、Python版本完美搭配推荐
目录
TensorFlow、Keras、Python版本完美搭配推荐
TensorFlow、Keras、Python版本完美搭配推荐
TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6.
If no --env is provided, it uses the tensorflow-1.9 image by default, which comes with Python 3.6, Keras 2.2.0 and TensorFlow 1.9.0 pre-installed.
FrameworkEnv name (--env parameter)DescriptionDocker ImagePackages and Nvidia SettingsTensorFlow 2.1tensorflow-2.1TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6.floydhub/tensorflowTensorFlow-2.1TensorFlow 2.0tensorflow-2.0TensorFlow 2.0.0 + Keras 2.3.1 on Python 3.6.floydhub/tensorflowTensorFlow-2.0TensorFlow 1.15tensorflow-1.15TensorFlow 1.15.0 + Keras 2.3.1 on Python 3.6.floydhub/tensorflowTensorFlow-1.15TensorFlow 1.14tensorflow-1.14TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6.floydhub/tensorflowTensorFlow-1.14TensorFlow 1.13tensorflow-1.13TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6.floydhub/tensorflowTensorFlow-1.13TensorFlow 1.12tensorflow-1.12TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6.floydhub/tensorflowTensorFlow-1.12 tensorflow-1.12:py2TensorFlow 1.12.0 + Keras 2.2.4 on Python 2.floydhub/tensorflow TensorFlow 1.11tensorflow-1.11TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6.floydhub/tensorflowTensorFlow-1.11 tensorflow-1.11:py2TensorFlow 1.11.0 + Keras 2.2.4 on Python 2.floydhub/tensorflow TensorFlow 1.10tensorflow-1.10TensorFlow 1.10.0 + Keras 2.2.0 on Python 3.6.floydhub/tensorflowTensorFlow-1.10 tensorflow-1.10:py2TensorFlow 1.10.0 + Keras 2.2.0 on Python 2.floydhub/tensorflow TensorFlow 1.9tensorflow-1.9TensorFlow 1.9.0 + Keras 2.2.0 on Python 3.6.floydhub/tensorflowTensorFlow-1.9 tensorflow-1.9:py2TensorFlow 1.9.0 + Keras 2.2.0 on Python 2.floydhub/tensorflow TensorFlow 1.8tensorflow-1.8TensorFlow 1.8.0 + Keras 2.1.6 on Python 3.6.floydhub/tensorflowTensorFlow-1.8 tensorflow-1.8:py2TensorFlow 1.8.0 + Keras 2.1.6 on Python 2.floydhub/tensorflow TensorFlow 1.7tensorflow-1.7TensorFlow 1.7.0 + Keras 2.1.6 on Python 3.6.floydhub/tensorflowTensorFlow-1.7 tensorflow-1.7:py2TensorFlow 1.7.0 + Keras 2.1.6 on Python 2.floydhub/tensorflow TensorFlow 1.5tensorflow-1.5TensorFlow 1.5.0 + Keras 2.1.6 on Python 3.6.floydhub/tensorflowTensorFlow-1.5 tensorflow-1.5:py2TensorFlow 1.5.0 + Keras 2.1.6 on Python 2.floydhub/tensorflow TensorFlow 1.4tensorflow-1.4TensorFlow 1.4.0 + Keras 2.0.8 on Python 3.6.floydhub/tensorflow tensorflow-1.4:py2TensorFlow 1.4.0 + Keras 2.0.8 on Python 2.floydhub/tensorflow TensorFlow 1.3tensorflow-1.3TensorFlow 1.3.0 + Keras 2.0.6 on Python 3.6.floydhub/tensorflow tensorflow-1.3:py2TensorFlow 1.3.0 + Keras 2.0.6 on Python 2.floydhub/tensorflow TensorFlow 1.2tensorflow-1.2TensorFlow 1.2.0 + Keras 2.0.6 on Python 3.5.floydhub/tensorflow tensorflow-1.2:py2TensorFlow 1.2.0 + Keras 2.0.6 on Python 2.floydhub/tensorflow TensorFlow 1.1tensorflowTensorFlow 1.1.0 + Keras 2.0.6 on Python 3.5.floydhub/tensorflow tensorflow:py2TensorFlow 1.1.0 + Keras 2.0.6 on Python 2.floydhub/tensorflow TensorFlow 1.0tensorflow-1.0TensorFlow 1.0.0 + Keras 2.0.6 on Python 3.5.floydhub/tensorflow tensorflow-1.0:py2TensorFlow 1.0.0 + Keras 2.0.6 on Python 2.floydhub/tensorflow TensorFlow 0.12tensorflow-0.12TensorFlow 0.12.1 + Keras 1.2.2 on Python 3.5.floydhub/tensorflow tensorflow-0.12:py2TensorFlow 0.12.1 + Keras 1.2.2 on Python 2.floydhub/tensorflow PyTorch 1.4pytorch-1.4PyTorch 1.4.0 + fastai 1.0.60 on Python 3.6.floydhub/pytorchPyTorch-1.4PyTorch 1.3pytorch-1.3PyTorch 1.3.0 + fastai 1.0.60 on Python 3.6.floydhub/pytorchPyTorch-1.3PyTorch 1.2pytorch-1.2PyTorch 1.2.0 + fastai 1.0.60 on Python 3.6.floydhub/pytorchPyTorch-1.2PyTorch 1.1pytorch-1.1PyTorch 1.1.0 + fastai 1.0.57 on Python 3.6.floydhub/pytorchPyTorch-1.1PyTorch 1.0pytorch-1.0PyTorch 1.0.0 + fastai 1.0.51 on Python 3.6.floydhub/pytorchPyTorch-1.0 pytorch-1.0:py2PyTorch 1.0.0 on Python 2.floydhub/pytorch PyTorch 0.4pytorch-0.4PyTorch 0.4.1 on Python 3.6.floydhub/pytorchPyTorch-0.4 pytorch-0.4:py2PyTorch 0.4.1 on Python 2.floydhub/pytorch PyTorch 0.3pytorch-0.3PyTorch 0.3.1 on Python 3.6.floydhub/pytorchPyTorch-0.3 pytorch-0.3:py2PyTorch 0.3.1 on Python 2.floydhub/pytorch PyTorch 0.2pytorch-0.2PyTorch 0.2.0 on Python 3.5floydhub/pytorch pytorch-0.2:py2PyTorch 0.2.0 on Python 2.floydhub/pytorch PyTorch 0.1pytorch-0.1PyTorch 0.1.12 on Python 3.floydhub/pytorch pytorch-0.1:py2PyTorch 0.1.12 on Python 2.floydhub/pytorch Theano 0.9theano-0.9Theano rel-0.8.2 + Keras 2.0.3 on Python3.5.floydhub/theano theano-0.9:py2Theano rel-0.8.2 + Keras 2.0.3 on Python2.floydhub/theano CaffecaffeCaffe rc4 on Python3.5.floydhub/caffe caffe:py2Caffe rc4 on Python2.floydhub/caffe TorchtorchTorch 7 with Python 3 env.floydhub/torch torch:py2Torch 7 with Python 2 env.floydhub/torch Chainer 1.23chainer-1.23Chainer 1.23.0 on Python 3.floydhub/chainer chainer-1.23:py2Chainer 1.23.0 on Python 2.floydhub/chainer Chainer 2.0chainer-2.0Chainer 1.23.0 on Python 3.floydhub/chainer chainer-2.0:py2Chainer 1.23.0 on Python 2.floydhub/chainer MxNet 1.0mxnetMxNet 1.0.0 on Python 3.6.floydhub/mxnet mxnet:py2MxNet 1.0.0 on Python 2.floydhub/mxnet
所有环境都可用于CPU和GPU执行。例如,
$ floyd run --env tensorflow:py2 "python mnist_cnn.py"
在CPU上运行Python2 Tensorflow任务
$ floyd run --env tensorflow:py2 --gpu "python mnist_cnn.py"
以下软件包(除了许多其他通用库之外)可在所有环境中使用:
h5py, iPython, Jupyter, matplotlib, numpy, OpenCV, Pandas, Pillow, scikit-learn, scipy, sklearn
参考文章：https://docs.floydhub.com/guides/environments/
