Closed mohamed-ali closed 4 years ago
Thanks. In https://d2l.ai/chapter_installation/index.html, we separate the installation of mxnet from dependency of d2l's setup. This will allow users to specify the CPU version or a certain cuda version of mxnet based on their preference.
Thanks for clarifying. That seems reasonable.
After setting up a conda environment with all the required dependencies, running
d2lbook build html
fails with the error message:Attempting to solve this problem with
pip install mxnet
doesn't work, because d2l isn't using the stable released version of mxnetI think mxnet should be added to the setup.py of d2l as a dependency. The appropriate mxnet version should be specified as well to avoid this issue in the future.
What do you think?
PS: installing pre released mxnet version solves the problem.
Thanks.