large refactor
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config = dict()
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config['batch_size'] = 4
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config['train_dir'] = '/home/workspace/local-data/train_100'
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config['valid_dir'] = '/home/workspace/local-data/train_100'
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config['use_filled'] = False
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config['resolution'] = 512
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config['latent_dim'] = 128
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config['cond_ae'] = dict()
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config['cond_ae']['is_label'] = False
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config['cond_ae']['latent_dim'] = config['latent_dim']
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config['cond_ae']['kernel_size'] = 7
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config['cond_ae']['bottleneck_size'] = 64
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config['cond_ae']['encoder_depths'] = [3, 3, 9, 9, 3]
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config['cond_ae']['encoder_dims'] = [32, 64, 128, 256, config['cond_ae']['bottleneck_size']]
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config['cond_ae']['decoder_input'] = (8, 4, config['cond_ae']['bottleneck_size'])
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config['cond_ae']['decoder_depths'] = [3, 3, 9, 3, 3]
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config['cond_ae']['decoder_dims'] = [config['cond_ae']['bottleneck_size'], 256, 128, 64, 16]
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