[BEAR] Problems with the installation
SamuelePolimi opened this issue · 0 comments
Dear all,
I encountered many difficulties during the installation of BEAR, mainly due to conflicting dependencies between packages.
Also, the version of pytorch
specified looks to be wrong, since it is not possible to reduce over multiple dimensions (e.g, torch.mean(x, dim=(1,2))
is not allowed) with pythorch==0.4.1
.
I managed to fix the errors, and I report here how I solved them.
This is probably one of the many possible ways one can solve the aforementioned problems.
SOLUTION
cd bear
conda create -n rlkit python=3.7.0
conda activate rlkit
conda install -c conda-forge/label/cf202003 glfw
conda install pip
conda install -c conda-forge box2d-py
conda install pytorch==1.2.0 torchvision cudatoolkit=10.0 -c pytorch
conda install cython ipython joblib lockfile mako matplotlib mkl numba path.py python-dateutil scipy patchelf pygame cloudpickle gitpython parso
conda install -c conda-forge gym
conda install -c conda-forge ipdb
pip install gtimer
pip install numpy
pip install -e .
Download d4rl
from the official repository and cd d4rl
.
Change the setup.py
with the following
from distutils.core import setup
from setuptools import find_packages
setup(
name='d4rl',
version='1.1',
install_requires=['gym',
'numpy',
'mujoco_py',
'pybullet',
'h5py',
'termcolor', # adept_envs dependency
'click', # adept_envs dependency
# 'dm_control @ git+git://github.com/deepmind/dm_control@master#egg=dm_control',
'dm_control',
'mjrl @ git+git://github.com/aravindr93/mjrl@master#egg=mjrl'],
packages=find_packages(),
package_data={'d4rl': ['locomotion/assets/*',
'hand_manipulation_suite/assets/*',
'hand_manipulation_suite/Adroit/*',
'hand_manipulation_suite/Adroit/gallery/*',
'hand_manipulation_suite/Adroit/resources/*',
'hand_manipulation_suite/Adroit/resources/meshes/*',
'hand_manipulation_suite/Adroit/resources/textures/*',
]},
include_package_data=True,
)
Install the library with pip install .
and pip install dm _control
.
P.S. A big thank to Joao Carvalho for finding this solution @jacarvalho
https://github.com/jacarvalho.