also use vae latent for second level
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+2
-3
@@ -807,9 +807,8 @@ if __name__ == '__main__':
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# assert len(config['pyramid']['resolutions']) == 1
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load_model(model, config['pretrained_model'], iteration=config['pretrained_model_iteration'])
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model.static_enc.trainable = False
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model.body_enc.trainable = False
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model.curv_enc.trainable = False
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model.trainable = False
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model.cond_encoder_2.trainable = True
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# if len(config['pyramid']['resolutions']) == 1:
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# else:
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# load_model(model, config['pyramid']['pretrained_pyramid'], iteration=(config['pyramid']['pretrained_pyramid_iteration'] if 'pretrained_pyramid_iteration' in config.keys() else ''))
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