Workaround for loading hparams without tf 1.x ?
turian opened this issue · 1 comments
turian commented
Colab no longer supports tensorflow 1.x
Is there a workaround for loading the hparams cfg?
I tried hparams pypi package but it didn't work.
Also the following didn't work:
# https://github.com/tensorflow/community/issues/148
from tensorboard.plugins.hparams import api as hp
hparams = hp.HParams('.', name="efficient_vdvae")
Rayhane-mamah commented
Hello @turian and thank you for the interest in our work.
As explained in the README, the hparams we use isn't the tensorflow hparams module, but a similar behaving one.
The package isn't hosted on pypi yet and can be installed with (confirmed it works on colab):
pip install --upgrade git+https://github.com/Rayhane-mamah/hparams
Basic usage can be found here if you are writing your own code.
Let me know if this solves your problem.