Comments (2)
Thanks for the answer. The first solution looks good, however the second one should be the way to go since overlapping package names in general is a bad practice. Besides, if you want to give support to other frameworks you will have to rename the package because it won't be pytorch specific anymore.
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Hi, the point of this package is to make use of tensorboard's feature, instead of getting rid of TF. I think most researcher have both pytorch and tensorflow in a single machine. :) Additionally, to use function such as add_embedding, you still need tensorflow installed at this time.
And there will be a more generic version in the future (supports Theano, numpy), so I would like to have a module name without a specific postfix. Please suggest if you have good idea.
A easy workaround of conflict will be https://stackoverflow.com/questions/27532112/how-to-handle-python-packages-with-conflicting-names, or rename the tensorboard
folder to tensorboard-pytorch
folder and build by yourself.
from tensorboardx.
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