https://master--floydhub-docs.netlify.app/guides/environments/
Environments
Below is the list of Deep Learning environments supported by FloydHub. Any of these can be specified in the floyd run command using the --env option.
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.
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. |
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TensorFlow 2.1 |
tensorflow-2.1 |
TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6. |
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TensorFlow 2.0 |
tensorflow-2.0 |
TensorFlow 2.0.0 + Keras 2.3.1 on Python 3.6. |
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TensorFlow 1.15 |
tensorflow-1.15 |
TensorFlow 1.15.0 + Keras 2.3.1 on Python 3.6. |
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TensorFlow 1.14 |
tensorflow-1.14 |
TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6. |
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TensorFlow 1.13 |
tensorflow-1.13 |
TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6. |
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TensorFlow 1.12 |
tensorflow-1.12 |
TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6. |
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tensorflow-1.12:py2 |
TensorFlow 1.12.0 + Keras 2.2.4 on Python 2. |
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TensorFlow 1.11 |
tensorflow-1.11 |
TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6. |
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tensorflow-1.11:py2 |
TensorFlow 1.11.0 + Keras 2.2.4 on Python 2. |
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TensorFlow 1.10 |
tensorflow-1.10 |
TensorFlow 1.10.0 + Keras 2.2.0 on Python 3.6. |
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tensorflow-1.10:py2 |
TensorFlow 1.10.0 + Keras 2.2.0 on Python 2. |
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TensorFlow 1.9 |
tensorflow-1.9 |
TensorFlow 1.9.0 + Keras 2.2.0 on Python 3.6. |
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tensorflow-1.9:py2 |
TensorFlow 1.9.0 + Keras 2.2.0 on Python 2. |
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TensorFlow 1.8 |
tensorflow-1.8 |
TensorFlow 1.8.0 + Keras 2.1.6 on Python 3.6. |
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tensorflow-1.8:py2 |
TensorFlow 1.8.0 + Keras 2.1.6 on Python 2. |
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TensorFlow 1.7 |
tensorflow-1.7 |
TensorFlow 1.7.0 + Keras 2.1.6 on Python 3.6. |
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tensorflow-1.7:py2 |
TensorFlow 1.7.0 + Keras 2.1.6 on Python 2. |
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TensorFlow 1.5 |
tensorflow-1.5 |
TensorFlow 1.5.0 + Keras 2.1.6 on Python 3.6. |
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tensorflow-1.5:py2 |
TensorFlow 1.5.0 + Keras 2.1.6 on Python 2. |
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TensorFlow 1.4 |
tensorflow-1.4 |
TensorFlow 1.4.0 + Keras 2.0.8 on Python 3.6. |
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tensorflow-1.4:py2 |
TensorFlow 1.4.0 + Keras 2.0.8 on Python 2. |
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TensorFlow 1.3 |
tensorflow-1.3 |
TensorFlow 1.3.0 + Keras 2.0.6 on Python 3.6. |
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tensorflow-1.3:py2 |
TensorFlow 1.3.0 + Keras 2.0.6 on Python 2. |
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TensorFlow 1.2 |
tensorflow-1.2 |
TensorFlow 1.2.0 + Keras 2.0.6 on Python 3.5. |
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tensorflow-1.2:py2 |
TensorFlow 1.2.0 + Keras 2.0.6 on Python 2. |
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TensorFlow 1.1 |
tensorflow |
TensorFlow 1.1.0 + Keras 2.0.6 on Python 3.5. |
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tensorflow:py2 |
TensorFlow 1.1.0 + Keras 2.0.6 on Python 2. |
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TensorFlow 1.0 |
tensorflow-1.0 |
TensorFlow 1.0.0 + Keras 2.0.6 on Python 3.5. |
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tensorflow-1.0:py2 |
TensorFlow 1.0.0 + Keras 2.0.6 on Python 2. |
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TensorFlow 0.12 |
tensorflow-0.12 |
TensorFlow 0.12.1 + Keras 1.2.2 on Python 3.5. |
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tensorflow-0.12:py2 |
TensorFlow 0.12.1 + Keras 1.2.2 on Python 2. |
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PyTorch 1.5 |
pytorch-1.5 |
PyTorch 1.5.0 + fastai 1.0.61 on Python 3.7. |
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PyTorch 1.4 |
pytorch-1.4 |
PyTorch 1.4.0 + fastai 1.0.60 on Python 3.6. |
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PyTorch 1.3 |
pytorch-1.3 |
PyTorch 1.3.0 + fastai 1.0.60 on Python 3.6. |
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PyTorch 1.2 |
pytorch-1.2 |
PyTorch 1.2.0 + fastai 1.0.60 on Python 3.6. |
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PyTorch 1.1 |
pytorch-1.1 |
PyTorch 1.1.0 + fastai 1.0.57 on Python 3.6. |
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PyTorch 1.0 |
pytorch-1.0 |
PyTorch 1.0.0 + fastai 1.0.51 on Python 3.6. |
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pytorch-1.0:py2 |
PyTorch 1.0.0 on Python 2. |
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PyTorch 0.4 |
pytorch-0.4 |
PyTorch 0.4.1 on Python 3.6. |
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pytorch-0.4:py2 |
PyTorch 0.4.1 on Python 2. |
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PyTorch 0.3 |
pytorch-0.3 |
PyTorch 0.3.1 on Python 3.6. |
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pytorch-0.3:py2 |
PyTorch 0.3.1 on Python 2. |
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PyTorch 0.2 |
pytorch-0.2 |
PyTorch 0.2.0 on Python 3.5 |
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pytorch-0.2:py2 |
PyTorch 0.2.0 on Python 2. |
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PyTorch 0.1 |
pytorch-0.1 |
PyTorch 0.1.12 on Python 3. |
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pytorch-0.1:py2 |
PyTorch 0.1.12 on Python 2. |
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Theano 0.9 |
theano-0.9 |
Theano rel-0.8.2 + Keras 2.0.3 on Python3.5. |
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theano-0.9:py2 |
Theano rel-0.8.2 + Keras 2.0.3 on Python2. |
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Caffe |
caffe |
Caffe rc4 on Python3.5. |
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caffe:py2 |
Caffe rc4 on Python2. |
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Torch |
torch |
Torch 7 with Python 3 env. |
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torch:py2 |
Torch 7 with Python 2 env. |
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Chainer 1.23 |
chainer-1.23 |
Chainer 1.23.0 on Python 3. |
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chainer-1.23:py2 |
Chainer 1.23.0 on Python 2. |
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Chainer 2.0 |
chainer-2.0 |
Chainer 1.23.0 on Python 3. |
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chainer-2.0:py2 |
Chainer 1.23.0 on Python 2. |
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MxNet 1.0 |
mxnet |
MxNet 1.0.0 on Python 3.6. |
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mxnet:py2 |
MxNet 1.0.0 on Python 2. |
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All environments are available for both CPU and GPU execution. For example,
