run_part_generator.py [34:43]:
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):
    model = Trainer(
        name,        
        results_dir,
        models_dir,
        batch_size = batch_size,
        gradient_accumulate_every = gradient_accumulate_every,
        n_part = n_part,
        image_size = image_size,
        network_capacity = network_capacity,
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run_part_selector.py [29:38]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
):
    model = Trainer(
        name,        
        results_dir,
        models_dir,
        batch_size = batch_size,
        gradient_accumulate_every = gradient_accumulate_every,
        n_part = n_part,
        image_size = image_size,
        network_capacity = network_capacity,
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