39 lines
1.3 KiB
Plaintext
39 lines
1.3 KiB
Plaintext
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setuptools==39.1.0 #tensorflow 1.10.0 has requirement setuptools<=39.1.0, but you'll have setuptools 39.2.0 which is incompatible
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absl-py==0.2.2
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astor==0.6.2
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backports.weakref==1.0.post1
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bleach==1.5.0
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decorator==4.3.0
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#enum34==1.1.6 # enum34 is not necessary for python > 3.4
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funcsigs==1.0.2
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gast==0.2.0
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grpcio==1.12.1
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html5lib==0.9999999
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Markdown==2.6.11
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mock==2.0.0
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numpy==1.14.5
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pbr==4.0.4
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protobuf==3.6.0
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scipy==1.1.0
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six==1.11.0
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#sklearn==0.0
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termcolor==1.1.0
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Werkzeug==0.14.1
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# we update to the latest version of the following packages @18 Oct 2018
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# the orignal one: https://github.com/williamleif/GraphSAGE
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#futures==3.2.0
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networkx==2.2
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tensorflow==1.10.0
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tensorboard==1.10.0
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gensim==3.0.1
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scikit-learn==0.19.0 #0.20.0 is OK but may get some warnings
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# if your want utilize your gpu for speeding up, try simply use the following conda command
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# tested in python==3.6.6
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# either -> conda install tensorflow-gpu==1.10.0 #this version will help you to install cuda and cudnn
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# for cuda driver compatibility: https://docs.nvidia.com/deploy/cuda-compatibility/index.html
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# e.g. if driver 384.xx -> conda install tensorflow-gpu=1.10.0 cudatoolkit=9.0
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# or -> simply build from docker image: docker pull tensorflow/tensorflow:1.10.0-gpu-py3
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# ref: https://www.tensorflow.org/install/docker#gpu_support
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