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When I train the task_net from the power scheduling problem (modified to work with my data) the SQP solving process takes forevor. While it runs, my GPU (Tesla K80) utilization hovers at only ~3%. I'm not sure if that is normal or what the bottleneck may be. However, this step significantly impacts training time. Training the rmse nets is extremely quick, of course.
The text was updated successfully, but these errors were encountered:
When I train the task_net from the power scheduling problem (modified to work with my data) the SQP solving process takes forevor. While it runs, my GPU (Tesla K80) utilization hovers at only ~3%. I'm not sure if that is normal or what the bottleneck may be. However, this step significantly impacts training time. Training the rmse nets is extremely quick, of course.
The text was updated successfully, but these errors were encountered: