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Hey.
Congratulations on wining Task2 of PolEval2018.
I've been trying to run your repository on a server with NVIDIA 1080 GTX (having CUDA 10.0) which has 8GB of memory. Unfortunately, it seems it wasn't enough, because training process crashed with a message: RuntimeError: cuda runtime error (2) : out of memory.
Could you tell me what would be your recommendations towards preferred CUDA memory or graphic card model so I could retrieve trained models out of make models command?
I'd be grateful.
Thanks.
The text was updated successfully, but these errors were encountered:
Hey.
Congratulations on wining Task2 of PolEval2018.
I've been trying to run your repository on a server with NVIDIA 1080 GTX (having CUDA 10.0) which has 8GB of memory. Unfortunately, it seems it wasn't enough, because training process crashed with a message:
RuntimeError: cuda runtime error (2) : out of memory
.Could you tell me what would be your recommendations towards preferred CUDA memory or graphic card model so I could retrieve trained models out of
make models
command?I'd be grateful.
Thanks.
The text was updated successfully, but these errors were encountered: