name: rllab channels: - defaults dependencies: - _libgcc_mutex=0.1=main - _openmp_mutex=5.1=1_gnu - _sysroot_linux-64_curr_repodata_hack=3=haa98f57_10 - _tflow_select=2.1.0=gpu - absl-py=1.3.0=py37h06a4308_0 - astor=0.8.1=py37h06a4308_0 - binutils_impl_linux-64=2.38=h2a08ee3_1 - binutils_linux-64=2.38.0=hc2dff05_0 - blas=1.0=mkl - c-ares=1.19.0=h5eee18b_0 - ca-certificates=2023.01.10=h06a4308_0 - certifi=2022.12.7=py37h06a4308_0 - cffi=1.15.1=py37h5eee18b_3 - chainer=7.8.0=pyhd3eb1b0_0 - cudatoolkit=9.0=h13b8566_0 - cudnn=7.6.5=cuda9.0_0 - cupti=9.0.176=0 - cycler=0.11.0=pyhd3eb1b0_0 - dbus=1.13.18=hb2f20db_0 - expat=2.4.9=h6a678d5_0 - flit-core=3.6.0=pyhd3eb1b0_0 - fontconfig=2.14.1=h4c34cd2_2 - freetype=2.12.1=h4a9f257_0 - gast=0.5.3=pyhd3eb1b0_0 - gcc_impl_linux-64=11.2.0=h1234567_1 - gcc_linux-64=11.2.0=h5c386dc_0 - giflib=5.2.1=h5eee18b_3 - glib=2.69.1=he621ea3_2 - google-pasta=0.2.0=pyhd3eb1b0_0 - grpcio=1.42.0=py37hce63b2e_0 - gst-plugins-base=1.14.1=h6a678d5_1 - gstreamer=1.14.1=h5eee18b_1 - gxx_impl_linux-64=11.2.0=h1234567_1 - gxx_linux-64=11.2.0=hc2dff05_0 - h5py=2.10.0=py37hd6299e0_1 - hdf5=1.10.6=hb1b8bf9_0 - icu=58.2=he6710b0_3 - importlib-metadata=4.11.3=py37h06a4308_0 - intel-openmp=2023.1.0=hdb19cb5_46305 - joblib=1.1.1=py37h06a4308_0 - jpeg=9e=h5eee18b_1 - keras-applications=1.0.8=py_1 - keras-preprocessing=1.1.2=pyhd3eb1b0_0 - kernel-headers_linux-64=3.10.0=h57e8cba_10 - kiwisolver=1.3.2=py37h295c915_0 - krb5=1.19.4=h568e23c_0 - lcms2=2.12=h3be6417_0 - ld_impl_linux-64=2.38=h1181459_1 - lerc=3.0=h295c915_0 - libclang=14.0.6=default_hc6dbbc7_1 - libclang13=14.0.6=default_he11475f_1 - libdeflate=1.17=h5eee18b_0 - libedit=3.1.20221030=h5eee18b_0 - libevent=2.1.12=h8f2d780_0 - libffi=3.4.4=h6a678d5_0 - libgcc-devel_linux-64=11.2.0=h1234567_1 - libgcc-ng=11.2.0=h1234567_1 - libgfortran-ng=7.5.0=ha8ba4b0_17 - libgfortran4=7.5.0=ha8ba4b0_17 - libgomp=11.2.0=h1234567_1 - libgpuarray=0.7.6=h7f8727e_1 - libllvm14=14.0.6=hdb19cb5_3 - libpng=1.6.39=h5eee18b_0 - libpq=12.9=h16c4e8d_3 - libprotobuf=3.20.3=he621ea3_0 - libstdcxx-devel_linux-64=11.2.0=h1234567_1 - libstdcxx-ng=11.2.0=h1234567_1 - libtiff=4.5.0=h6a678d5_2 - libuuid=1.41.5=h5eee18b_0 - libwebp=1.2.4=h11a3e52_1 - libwebp-base=1.2.4=h5eee18b_1 - libxcb=1.15=h7f8727e_0 - libxkbcommon=1.0.1=h5eee18b_1 - libxml2=2.10.3=hcbfbd50_0 - libxslt=1.1.37=h2085143_0 - lz4-c=1.9.4=h6a678d5_0 - mako=1.2.3=py37h06a4308_0 - markdown=3.4.1=py37h06a4308_0 - markupsafe=2.1.1=py37h7f8727e_0 - matplotlib=3.3.2=h06a4308_0 - matplotlib-base=3.3.2=py37h817c723_0 - mkl=2018.0.3=1 - mkl-service=1.1.2=py37h90e4bf4_5 - mkl_fft=1.0.6=py37h7dd41cf_0 - mkl_random=1.0.1=py37h4414c95_1 - mpi=1.0=mpich - mpi4py=3.1.4=py37hfc96bbd_0 - mpich=3.3.2=hc856adb_0 - nccl=1.3.5=cuda9.0_0 - ncurses=6.4=h6a678d5_0 - ninja=1.10.2=h06a4308_5 - ninja-base=1.10.2=hd09550d_5 - nspr=4.35=h6a678d5_0 - nss=3.89.1=h6a678d5_0 - numpy=1.15.4=py37h1d66e8a_0 - numpy-base=1.15.4=py37h81de0dd_0 - openssl=1.1.1t=h7f8727e_0 - packaging=22.0=py37h06a4308_0 - pandas=1.1.5=py37h2531618_0 - path=16.2.0=pyhd3eb1b0_0 - path.py=12.5.0=hd3eb1b0_0 - pcre=8.45=h295c915_0 - pillow=9.4.0=py37h6a678d5_0 - pip=22.3.1=py37h06a4308_0 - ply=3.11=py37_0 - pycparser=2.21=pyhd3eb1b0_0 - pygpu=0.7.6=py37heb32a55_0 - pyparsing=3.0.9=py37h06a4308_0 - pyqt=5.15.7=py37h6a678d5_1 - pyqt5-sip=12.11.0=py37h6a678d5_1 - python=3.7.16=h7a1cb2a_0 - python-dateutil=2.8.2=pyhd3eb1b0_0 - pytorch=0.4.1=py37ha74772b_0 - pytz=2022.7=py37h06a4308_0 - qt-main=5.15.2=h8373d8f_8 - qt-webengine=5.15.9=hbbf29b9_6 - qtwebkit=5.212=h3fafdc1_5 - readline=8.2=h5eee18b_0 - scikit-learn=0.23.2=py37h0573a6f_0 - scipy=1.1.0=py37hfa4b5c9_1 - setuptools=65.6.3=py37h06a4308_0 - sip=6.6.2=py37h6a678d5_0 - six=1.16.0=pyhd3eb1b0_1 - sqlite=3.41.2=h5eee18b_0 - sysroot_linux-64=2.17=h57e8cba_10 - tbb=2021.8.0=hdb19cb5_0 - tbb4py=2021.7.0=py37hdb19cb5_0 - tensorboard=1.14.0=py37hf484d3e_0 - tensorflow=1.14.0=gpu_py37hae64822_0 - tensorflow-base=1.14.0=gpu_py37h8f37b9b_0 - tensorflow-estimator=1.14.0=py_0 - tensorflow-gpu=1.14.0=h0d30ee6_0 - termcolor=2.1.0=py37h06a4308_0 - theano=1.0.2=py37h6bb024c_0 - threadpoolctl=2.2.0=pyh0d69192_0 - tk=8.6.12=h1ccaba5_0 - toml=0.10.2=pyhd3eb1b0_0 - torchvision=0.2.1=py37_0 - tornado=6.2=py37h5eee18b_0 - typing_extensions=4.4.0=py37h06a4308_0 - werkzeug=2.2.2=py37h06a4308_0 - wheel=0.38.4=py37h06a4308_0 - wrapt=1.14.1=py37h5eee18b_0 - xz=5.4.2=h5eee18b_0 - zipp=3.11.0=py37h06a4308_0 - zlib=1.2.13=h5eee18b_0 - zstd=1.5.5=hc292b87_0 - pip: - box2d==2.3.10 - cached-property==1.5.2 - charset-normalizer==3.1.0 - cloudpickle==2.2.1 - filelock==3.12.0 - gym==0.7.4 - idna==3.4 - lasagne==0.1 - mujoco-py==0.5.7 - nose==1.3.7 - plotly==5.14.1 - protobuf==4.23.2 - pygame==2.4.0 - pyglet==2.0.7 - pyopengl==3.1.7 - pyprind==2.11.3 - requests==2.31.0 - tenacity==8.2.2 - urllib3==2.0.2 prefix: /home/devil/anaconda3/envs/rllab
rllab运行环境是Reinforcement Learning的经典运行环境,虽然现在已经放弃维护了,但是也很有借鉴价值,曾经多次尝试配置该环境,但是由于该环境的依赖环境大都过期无法安装,因此如何在各个依赖环境的高阶版本中寻找出一个可以运行的版本搭配环境仿佛成了一个NP难题,最后还是经过各种手动调试版本参数才实现成功安装,这里给出具体的anaconda下的依赖环境版本。
源代码地址:
https://gitee.com/devilmaycry812839668/rllab
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标签:linux,py37h06a4308,配置,11.2,rllab,64,anaconda,pyhd3eb1b0,h5eee18b From: https://www.cnblogs.com/devilmaycry812839668/p/17461481.html