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DL中版本配置问题：TensorFlow、Keras、Python版本完美搭配推荐

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DL中版本配置問題：TensorFlow、Keras、Python版本完美搭配推薦

TensorFlow、Keras、Python版本完美搭配推薦

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 Settings

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 1.4	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	?

所有環(huán)境都可用于CPU和GPU執(zhí)行。例如,

$ floyd run --env tensorflow:py2 "python mnist_cnn.py"

在CPU上運行Python2 Tensorflow任務(wù)

$ floyd run --env tensorflow:py2 --gpu "python mnist_cnn.py"

以下軟件包(除了許多其他通用庫之外)可在所有環(huán)境中使用:

h5py, iPython, Jupyter, matplotlib, numpy, OpenCV, Pandas, Pillow, scikit-learn, scipy, sklearn

參考文章：https://docs.floydhub.com/guides/environments/

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