# Prepare model.
model = Voxel_flow_model()
- prediction = model.inference(input_placeholder) d
+ prediction = model.inference(input_placeholder)
# reproduction_loss, prior_loss = model.loss(prediction, target_placeholder)
reproduction_loss = model.loss(prediction, target_placeholder)
# total_loss = reproduction_loss + prior_loss