error : mujoco_py' has no attribute 'load_model_from_path mujoco_py version 0.5.7

[zdx3578]

fix by https://github.com/openai/mujoco-py/issues/188 use gym 0.7

other: conda install pytorch=0.3.0 torchvision -c pytorch pip install gym==0.7.3

541 export PYTHONPATH='.' 549 pip install mujoco-py==0.5.7 567 pip install gym==0.7.3 587 conda install pytorch=0.3.0 torchvision -c pytorch

[zdx3578]

my env:

(rlkit-env) test@frankwang-Tri01:~/anaconda3/pkgs$ conda env export

name: rlkit-env channels:

• pytorch
• soumith
• menpo
• kne
• defaults dependencies:
• backcall=0.1.0=py35_0
• bleach=2.1.3=py35_0
• bokeh=0.12.15=py35_0
• ca-certificates=2018.03.07=0
• certifi=2018.4.16=py35_0
• cffi=1.11.5=py35h9745a5d_0
• click=6.7=py35h353a69f_0
• cloudpickle=0.5.2=py35_1
• colorama=0.3.7=py35_0
• cudatoolkit=8.0=3
• cudnn=7.0.5=cuda8.0_0
• cycler=0.10.0=py35hc4d5149_0
• cytoolz=0.9.0.1=py35h14c3975_0
• dask=0.17.4=py35_0
• dask-core=0.17.4=py35_0
• dbus=1.13.2=h714fa37_1
• decorator=4.3.0=py35_0
• distributed=1.21.8=py35_0
• entrypoints=0.2.3=py35h48174a2_2
• expat=2.2.5=he0dffb1_0
• flask=0.12.2=py35h679e90e_0
• fontconfig=2.12.1=3
• freetype=2.5.5=2
• glib=2.56.1=h000015b_0
• gmp=6.1.2=h6c8ec71_1
• gst-plugins-base=1.14.0=hbbd80ab_1
• gstreamer=1.14.0=hb453b48_1
• h5py=2.7.1=py35h8d53cdc_0
• hdf5=1.10.1=h9caa474_1
• heapdict=1.0.0=py35_2
• html5lib=1.0.1=py35h2f9c1c0_0
• icu=54.1=0
• imageio=2.3.0=py35_0
• intel-openmp=2018.0.0=8
• ipykernel=4.8.2=py35_0
• ipython=6.3.1=py35_0
• ipython_genutils=0.2.0=py35hc9e07d0_0
• ipywidgets=7.2.1=py35_0
• itsdangerous=0.24=py35h7c46880_1
• jedi=0.12.0=py35_1
• jinja2=2.10=py35h480ab6d_0
• joblib=0.9.4=py35_0
• jpeg=9b=h024ee3a_2
• jsonschema=2.6.0=py35h4395190_0
• jupyter_client=5.2.3=py35_0
• jupyter_core=4.4.0=py35ha89e94b_0
• libffi=3.2.1=hd88cf55_4
• libgcc=7.2.0=h69d50b8_2
• libgcc-ng=7.2.0=hdf63c60_3
• libgfortran-ng=7.2.0=hdf63c60_3
• libiconv=1.14=0
• libpng=1.6.34=hb9fc6fc_0
• libsodium=1.0.16=h1bed415_0
• libstdcxx-ng=7.2.0=hdf63c60_3
• libtiff=4.0.9=h28f6b97_0
• libxcb=1.13=h1bed415_1
• libxml2=2.9.4=0
• llvmlite=0.22.0=py35h998887b_0
• locket=0.2.0=py35h170bc82_1
• mako=1.0.7=py35h69899ea_0
• markupsafe=1.0=py35h4f4fcf6_1
• matplotlib=2.0.2=np111py35_0
• mistune=0.8.3=py35h14c3975_1
• mkl=2018.0.2=1
• msgpack-python=0.5.6=py35h6bb024c_0
• nbconvert=5.3.1=py35hc5194e3_0
• nbformat=4.4.0=py35h12e6e07_0
• nccl=1.3.4=cuda8.0_1
• networkx=1.11=py35hf333c83_0
• ninja=1.8.2=h6bb024c_1
• notebook=5.4.1=py35_0
• numba=0.37.0=np111py35h3e3e0ff_0
• numpy=1.11.3=py35h3dfced4_4
• olefile=0.45.1=py35_0
• openssl=1.0.2o=h20670df_0
• packaging=17.1=py35_0
• pandas=0.21.1=py35h20b78c2_0
• pandoc=1.19.2.1=hea2e7c5_1
• pandocfilters=1.4.2=py35h1565a15_1
• parso=0.2.0=py35_0
• partd=0.3.8=py35h68187f2_0
• path.py=11.0.1=py35_0
• pcre=8.42=h439df22_0
• pexpect=4.5.0=py35_0
• pickleshare=0.7.4=py35hd57304d_0
• pillow=4.2.1=py35_0
• pip=10.0.1=py35_0
• prompt_toolkit=1.0.15=py35hc09de7a_0
• psutil=5.4.5=py35h14c3975_0
• ptyprocess=0.5.2=py35h38ce0a3_0
• pycparser=2.18=py35h61b3040_1
• pygments=2.2.0=py35h0f41973_0
• pyparsing=2.2.0=py35h041ed72_1
• pyqt=5.6.0=py35h0e41ada_5
• python=3.5.2=0
• python-dateutil=2.7.2=py35_0
• pytz=2018.4=py35_0
• pywavelets=0.5.2=py35h53ec731_0
• pyyaml=3.12=py35h46ef4ae_1
• pyzmq=17.0.0=py35h14c3975_0
• qt=5.6.2=5
• readline=6.2=2
• scikit-image=0.13.1=py35h7a281a6_0
• scikit-learn=0.19.1=py35hbf1f462_0
• scipy=1.0.1=py35hfc37229_0
• send2trash=1.5.0=py35_0
• setuptools=39.1.0=py35_0
• simplegeneric=0.8.1=py35_2
• sip=4.18.1=py35h9eaea60_2
• six=1.11.0=py35h423b573_1
• sortedcontainers=1.5.10=py35_0
• sqlite=3.13.0=0
• tblib=1.3.2=py35hf1eb0b4_0
• terminado=0.8.1=py35_1
• testpath=0.3.1=py35had42eaf_0
• tk=8.5.18=0
• toolz=0.9.0=py35_0
• tornado=5.0.2=py35_0
• traitlets=4.3.2=py35ha522a97_0
• wcwidth=0.1.7=py35hcd08066_0
• webencodings=0.5.1=py35hb6cf162_1
• werkzeug=0.14.1=py35_0
• wheel=0.31.0=py35_0
• widgetsnbextension=3.2.1=py35_0
• xz=5.2.3=h5e939de_4
• yaml=0.1.7=had09818_2
• zeromq=4.2.5=h439df22_0
• zict=0.1.3=py35h29275ca_0
• zlib=1.2.11=ha838bed_2
• pybox2d=2.3.1post2=py35_0
• pygame=1.9.2a0=py35_0
• opencv3=3.1.0=py35_0
• pytorch=0.3.0=py35_cuda8.0.61_cudnn7.0.3hb362f6e_4
• torchvision=0.2.0=py35heaa392f_1
• cuda80=1.0=0
• pip:
  • atari-py==0.1.1
  • attrs==18.1.0
  • awscli==1.15.15
  • botocore==1.10.15
  • box2d==2.3.1
  • cached-property==1.4.2
  • catkin-pkg==0.4.2
  • chardet==3.0.4
  • coverage==4.5.1
  • cython==0.28.2
  • docutils==0.14
  • dominate==2.3.1
  • enum34==1.1.6
  • flatbuffers==2015.12.22.1
  • funcsigs==1.0.2
  • future==0.16.0
  • gitdb2==2.0.3
  • gitpython==2.1.9
  • glfw==1.6.0
  • gtimer==1.0.0b5
  • gym==0.7.3
  • idna==2.6
  • ipdb==0.11
  • jmespath==0.9.3
  • jupyter==1.0.0
  • jupyter-console==5.2.0
  • lasagne==0.1
  • line-profiler==2.1.2
  • more-itertools==4.1.0
  • mujoco-py==0.5.7
  • nose2==0.7.4
  • plotly==2.5.1
  • pluggy==0.6.0
  • prettytensor==0.7.4
  • progressbar2==3.37.1
  • py==1.5.3
  • pyasn1==0.4.2
  • pyglet==1.3.2
  • pyopengl==3.1.0
  • pyprind==2.11.2
  • pytest==3.5.1
  • python-utils==2.3.0
  • qtconsole==4.3.1
  • ray==0.4.0
  • redis==2.10.6
  • requests==2.18.4
  • rospkg==1.1.4
  • rsa==3.4.2
  • s3transfer==0.1.13
  • seaborn==0.8.1
  • smmap2==2.0.3
  • snakeviz==0.4.2
  • torch==0.3.0.post4
  • urllib3==1.22 prefix: /home/test/anaconda3/envs/rlkit-env

(rlkit-env) test@frankwang-Tri01:~/anaconda3/pkgs$ (rlkit-env) test@frankwang-Tri01:~/anaconda3/pkgs$

[zdx3578]

env.txt

[vitchyr]

Thanks for pointing this out. I'll post a .yml file that has the specific versions and is more minimal soon (later today or tomorrow). Hopefully that will fix some of the versioning issues that you (and other people) have brought up.

[vitchyr]

Addressed with 2c8561d82f8a4c61d00f2164c41e7a3cdac8e19d.

The rlkit-env.yml file is much smaller now and gives the specific library versions.