From 4903c0ef0e61a305a5ee6fcf1260332d0797cd8b Mon Sep 17 00:00:00 2001 From: Chengbin Hou Date: Fri, 30 Nov 2018 20:32:16 +0000 Subject: [PATCH] remove redundant dependencies --- requirements.txt | 42 +++++++++++------------------------------- 1 file changed, 11 insertions(+), 31 deletions(-) diff --git a/requirements.txt b/requirements.txt index 01fe728..c261365 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,38 +1,18 @@ -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 -absl-py==0.2.2 -astor==0.6.2 -backports.weakref==1.0.post1 -bleach==1.5.0 -decorator==4.3.0 -#enum34==1.1.6 # enum34 is not necessary for python > 3.4 -funcsigs==1.0.2 -gast==0.2.0 -grpcio==1.12.1 -html5lib==0.9999999 -Markdown==2.6.11 -mock==2.0.0 -numpy==1.14.5 -pbr==4.0.4 -protobuf==3.6.0 -scipy==1.1.0 -six==1.11.0 -#sklearn==0.0 -termcolor==1.1.0 -Werkzeug==0.14.1 -# we update to the latest version of the following packages @18 Oct 2018 -# the orignal one: https://github.com/williamleif/GraphSAGE -#futures==3.2.0 -networkx==2.2 -tensorflow==1.10.0 -tensorboard==1.10.0 -gensim==3.0.1 -scikit-learn==0.19.0 #0.20.0 is OK but may get some warnings -# if your want utilize your gpu for speeding up, try simply use the following conda command # tested in python==3.6.6 +numpy==1.14.5 +tensorflow==1.10.0 # to do... compatible with latest tf and tf-gpu +tensorboard==1.10.0 +networkx==2.2 +gensim==3.0.1 +scikit-learn==0.19.0 # to do... compatible with >0.20 +pandas==0.23.0 + +# want to use GPU? some useful info: + # either -> conda install tensorflow-gpu==1.10.0 #this version will help you to install cuda and cudnn # for cuda driver compatibility: https://docs.nvidia.com/deploy/cuda-compatibility/index.html # e.g. if driver 384.xx -> conda install tensorflow-gpu=1.10.0 cudatoolkit=9.0 # or -> simply build from docker image: docker pull tensorflow/tensorflow:1.10.0-gpu-py3 -# ref: https://www.tensorflow.org/install/docker#gpu_support +# ref: https://www.tensorflow.org/install/docker#gpu_support \ No newline at end of file