Comments (4)
Addressed with 2c8561d.
The rlkit-env.yml file is much smaller now and gives the specific library versions.
from rlkit.
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$/anaconda3/pkgs$
(rlkit-env) test@frankwang-Tri01:
from rlkit.
from rlkit.
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.
from rlkit.
Related Issues (20)
- rlkit/torch/networks/stochastic not installed HOT 1
- unable to create the conda environment with linux-cpu-env.yml HOT 2
- Issue SMAC algorithm HOT 4
- multi-GPU optimised implementations for running algorithms HOT 1
- Doubt on Q-function loss in AWAC HOT 1
- Question about VAEPolicy in rlkit.torch.sac.policies HOT 2
- CustomMDPPathCollector is not found HOT 2
- Doubt on advantage calculation to update the policy on AWAC.
- Position Control with mujoco-py
- Cannot reproduce the results of IQL on antmaze HOT 1
- High Memory & Disk Requirement for SMAC HOT 1
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- Could someone provide right environment installation procedure? HOT 4
- Python3.5 is not suitable for this project! HOT 1
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- SAC log_alpha different from paper HOT 1
- IQL results different with the paper HOT 1
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from rlkit.