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for epoch in range(max_epochs):
# Training
for orig, segmented in training_generator:
# Transfer to GPU
orig, segmented = local_batch.to(device), local_labels.to(device)
orig and segmented are torch tensors that represent the images that i need UNet to use to train. How do I implement the training script for this? I'm a bit confused.
The text was updated successfully, but these errors were encountered:
orig and segmented are torch tensors that represent the images that i need UNet to use to train. How do I implement the training script for this? I'm a bit confused.
The text was updated successfully, but these errors were encountered: