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Trainer is always in waiting state #3
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@PankajJain5889 did you find a solution for this? |
Couldn't find a viable solution but will look in it this weekend, also what version of python and tensorflow-gpu are you using |
Try installing the latest version of cudnn. And change the value of TRAINER_MEMORY_ALLOCATION to 0.4. I am using the following configuration, and the code worked for me:
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Can you tell me what graphic card are you working with I am just unsure that 10.0.1 Cuda would work with mine cause as per my online research 9.0 is stable, please suggest |
I am using the NVIDIA Quadro P4000 - 8GB Memory |
I've noticed that the ConsoleStats hides a python keras Exception and found a way to avoid it: #9 |
I just started using this after initial setup done right I am able to see agent output and NPc's but the trainer is always in waiting state
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