Fix new feature loss calc
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@ -237,7 +237,7 @@ def main():
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visuals = model.get_current_visuals()
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sr_img = util.tensor2img(visuals['rlt'][b]) # uint8
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gt_img = util.tensor2img(visuals['GT'][b]) # uint8
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#gt_img = util.tensor2img(visuals['GT'][b]) # uint8
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# Save SR images for reference
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img_base_name = '{:s}_{:d}.png'.format(img_name, current_step)
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@ -266,7 +266,7 @@ def main():
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logger.info('# Validation # PSNR: {:.4e} Fea: {:.4e}'.format(avg_psnr, avg_fea_loss))
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# tensorboard logger
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if opt['use_tb_logger'] and 'debug' not in opt['name']:
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tb_logger.add_scalar('val_psnr', avg_psnr, current_step)
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#tb_logger.add_scalar('val_psnr', avg_psnr, current_step)
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tb_logger.add_scalar('val_fea', avg_fea_loss, current_step)
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#### save models and training states
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