                   "loss that considers changes in texture, luminance, contrast, and local spatial "
                   "statistics of an image. Potentially delivers more realistic looking images."
                   "\n\t GMSD - Gradient Magnitude Similarity Deviation seeks to match "
                   "the global standard deviation of the pixel to pixel differences between two "
                   "images. Similar in approach to SSIM. NB: This loss does not currently work on "
                   "AMD cards."
                   "\n\t Pixel_Gradient_Difference - Instead of minimizing the difference between "
 
</s> remove             choices=["mae", "mse", "logcosh", "smooth_loss", "l_inf_norm", "ssim", "gmsd",
                     "pixel_gradient_diff"],
 </s> add             choices=["mae", "mse", "logcosh", "smooth_loss", "l_inf_norm", "ssim", "ms_ssim",
                     "gmsd", "pixel_gradient_diff"], </s> remove                  "penalty will only be applied if SSIM or GMSD is selected for the main loss "
                 "function, otherwise it is ignored.\n\nThe value given here is as a percentage "
                 "weight of the main loss function. For example:"
 </s> add                  "penalty will only be applied if SSIM, MS-SSIM or GMSD is selected for the main "
                 "loss function, otherwise it is ignored."
                 "\n\nThe value given here is as a percentage weight of the main loss function. "
                 "For example:" </s> remove         self._uses_l2_reg = ["ssim", "gmsd"]
 </s> add         self._uses_l2_reg = ["ssim", "ms_ssim", "gmsd"]
                 "\n\t MS_SSIM - Multiscale Structural Similarity Index Metric is similar to SSIM "
                 "except that it performs the calculations along multiple scales of the input "
                 "image. NB: This loss currently does not work on AMD Cards."
                   "loss that considers changes in texture, luminance, contrast, and local spatial "
                   "statistics of an image. Potentially delivers more realistic looking images."
                 "\n\t MS_SSIM - Multiscale Structural Similarity Index Metric is similar to SSIM "
                 "except that it performs the calculations along multiple scales of the input "
                 "image. NB: This loss currently does not work on AMD Cards."
                   "\n\t GMSD - Gradient Magnitude Similarity Deviation seeks to match "
                   "the global standard deviation of the pixel to pixel differences between two "
                   "images. Similar in approach to SSIM. NB: This loss does not currently work on "
                   "AMD cards."
                   "\n\t Pixel_Gradient_Difference - Instead of minimizing the difference between "
keep add keep keep keep keep keep
 training - Add MS-SSIM loss function 
plugins/train/_config.py