Kotlin Training Error Cascade

torch.nn.parallel.DataParallel( MaskRCNN().to(device) ) torch.utils.data.DataLoader( torch.save( model.load_state_dict(checkpoint.pt) ) CUDA out of memory RuntimeError: CUDA runtime error (30): unknown error at /ten/src/THC/THCGeneral.cpp DataLoader worker (pid 1004) killed by signal Forgot to add this line at end of epoch model.load_state_dict(checkpoint) Unexpected key(s) in state dict:

Hank Hill sits calmly with a mug while a wall of machine-learning errors and warnings overwhelms the screen. The joke is the escalating cascade of CUDA, DataLoader, and checkpoint errors that makes debugging feel absurdly hopeless. It is used as a reaction to broken code, failed training runs, or an overwhelming pile of technical problems. EN: Hank Hill sits calmly with a mug while a wall of machine-learning errors and warnings overwhelms the screen. The joke is the escalating cascade of CUDA, DataLoader, and checkpoint errors that makes debugging feel absurdly hopeless. It is used as a reaction to broken code, failed training runs, or an overwhelming pile of technical problems.

• @profunctor_io / 3104 2019-09-25
• @dev_meme / 703 2019-09-25