Update weight conversion module #81
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As noted in: https://discuss.pytorch.org/t/out-of-memory-error-when-resume-training-even-though-my-gpu-is-empty/30757/5
Sometimes, on some devices, PyTorch-based networks throw a CUDA OOM when loaded directly on the GPU. To avoid this, we now save the model and load it back, mapping to the CPU and then pushing back to the original model device.