Comments (4)
Hi, I've had some problems with keras-rl and tensorflow and I managed to find a solution to this problem, after hours of trying to figure it out. Hopefully it works for you too.
keras-rl
works with tensorflow 1.X, from my understanding, and keras-rl2
is supposed to fix that by requiring tensorflow>=2.1.0. Unfortunately, keras-rl2
is archived, so there can't be anymore fixes. My solution was this:
- Download the keras-rl2 source code from here
- Go into
setup.py
and remove theinstall_requirements=['tensorflow'],
line OR you can even change it to tensorflow-macos - Follow the install instructions from source code from here (the keras-rl2 instructions are incomplete)
Once you install keras-rl2
your problems should dissapear.
My issues here these:
ERROR
: Could not find a version that satisfies the requirement tensorflow (from keras-rl2) (from versions: none) when trying to install keras-rl2ERROR
: when trying to dopip install keras-rl2==1.0.5
Keras symbolic inputs/outputs do not implement__len__
. You may be trying to pass Keras symbolic inputs/outputs to a TF API that does not register dispatching, preventing Keras from automatically converting the API call to a lambda layer in the Functional Model. This error will also get raised if you try asserting a symbolic input/output directly.
Hopefully this helps.
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