As soon as I instantiate one ore more tensors via torch.from_numpy() step-by-step debugging becomes progressively slower. To give an idea it might take more than 15-20 seconds to step over a simple line of code that doesn’t do anything special after instantiating a few CPU tensors of size 3x540x480.
Turning off the visualization of inline variables doesn’t help. Very similar code implemented in TensorFlow doesn’t cause the same debugging issues.
I am running pytorch 0.2.0_3 + pycharm 2017.2.3 (community edition) on Ubuntu 16.04 LTS.
Is anyone experiencing the same issue? Any idea on how to fix it?
Thanks