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environment.yml
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environment.yml
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name: gqn
channels:
- pytorch
- defaults
dependencies:
- _tflow_1100_select=0.0.1=gpu
- _tflow_190_select=0.0.3=mkl
- blas=1.0=mkl
- cffi=1.11.5=py35he75722e_1
- cudatoolkit=9.0=h13b8566_0
- cudnn=7.1.2=cuda9.0_0
- cupti=9.0.176=0
- glib=2.56.2=hd408876_0
- intel-openmp=2019.0=117
- libffi=3.2.1=hd88cf55_4
- libgcc-ng=8.2.0=hdf63c60_1
- libgfortran-ng=7.3.0=hdf63c60_0
- libprotobuf=3.6.0=hdbcaa40_0
- mkl=2018.0.3=1
- mkl_fft=1.0.6=py35h7dd41cf_0
- mkl_random=1.0.1=py35h4414c95_1
- nccl=1.3.5=cuda9.0_0
- numpy=1.15.2=py35h1d66e8a_0
- numpy-base=1.15.2=py35h81de0dd_0
- pip=10.0.1=py35_0
- protobuf=3.6.0=py35hf484d3e_0
- python=3.5.6=hc3d631a_0
- setuptools=40.2.0=py35_0
- six=1.11.0=py35_1
- tensorboard=1.10.0=py35hf484d3e_0
- tensorflow=1.10.0=gpu_py35h566a776_0
- tensorflow-base=1.10.0=gpu_py35h6ecc378_0
- tensorflow-gpu=1.10.0=hf154084_0
- ignite=0.1.1=py35_0
- pytorch=1.0.0=py3.5_cuda9.0.176_cudnn7.4.1_1
- pytorch-nightly=1.0.0.dev20181010=py3.5_cuda9.0.176_cudnn7.1.2_0
- torchvision=0.2.1=py_2
- pip:
- nvidia-ml-py==375.53.1
- nvidia-ml-py3==7.352.0
- pytorch-ignite==0.1.1
- tensorboardx==1.6
- torch==1.0.0
prefix: ~/.conda/envs/gqn