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@rosbo rosbo commented Mar 1, 2021

Last usage on our platform was in October 2020.
In the past year, we had 14 notebooks using it only (several of them already reinstalling the latest version using !pip install tensorforce.

Users wanting to use this package should use !pip install tensorforce
into their own kernel.

TensorForce 0.6.2 has dependencies on tensorflow==2.3.1 and
numpy==1.18.5 which is incompatible with our environment. We don't want
to constrain new release of TensorFlow for a package that is barely
being used. Hence, the reason for dropping it from our base image.

http://b/181584341

Last usage in our platform was in October 2020.
In the past year, we have seen 14 notebooks using it only.

User wanting to use this package should use `!pip install tensorforce`
into their own kernel.

TensorForce 0.6.2 has dependencies on tensorflow==2.3.1 and
numpy==1.18.5 which is incompatible with our environment. We don't want
to constrain new release of TensorFlow for a package that is barely
being used. Hence, the reason for dropping it from our base image.

http://b/181584341
@rosbo rosbo requested a review from bovard March 1, 2021 20:31
@rosbo rosbo merged commit d4c5a86 into master Mar 1, 2021
@rosbo rosbo deleted the rm-tensorforce branch March 1, 2021 23:28
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3 participants