Szymon Brych

@brieyla1 With applying the fix to gradients from above: > optimizer.apply_gradients(zip([g.read_value() for g in temp_grads], agent.trainable_variables)) Following should suffice to run something mGPU with inference on a separate device: ```...

Hey @RaphaelMarinier, have you had any chance to do the GPU run you mentioned? Many thanks!

> Hi @Antymon, have you solved this problem? Nope.

> > > Hi @Antymon, have you solved this problem? > > > > > > Nope. > > Have you tried other envs? No, I haven't.

Well, that's, of course, possible, but you will have to make(file) on your own I am afraid. `wscript` lists the dependencies and contents of `waf_tools` define them (some definitions are...

Hi, Before I start, this code was largely ported from Python under the desire of minimal effort, so don't assume certain parts were well-thought-through and feel free to change anything...

Hi, this implementation is meant for a single multicore node and even with that respect is rather simple - with multiple environments being called in parallel on each step and...