|  |  | @ -56,7 +56,7 @@ class SRLutR90(nn.Module): | 
			
		
	
		
		
			
				
					
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					|  |  |  |         scale = int(stage_lut.shape[-1]) |  |  |  |         scale = int(stage_lut.shape[-1]) | 
			
		
	
		
		
			
				
					
					|  |  |  |         quantization_interval = 256//(stage_lut.shape[0]-1) |  |  |  |         quantization_interval = 256//(stage_lut.shape[0]-1) | 
			
		
	
		
		
			
				
					
					|  |  |  |         lut_model = SRLutRot90(quantization_interval=quantization_interval, scale=scale) |  |  |  |         lut_model = SRLutR90(quantization_interval=quantization_interval, scale=scale) | 
			
				
				
			
		
	
		
		
	
		
		
			
				
					
					|  |  |  |         lut_model.stage_lut = nn.Parameter(torch.tensor(stage_lut).type(torch.float32)) |  |  |  |         lut_model.stage_lut = nn.Parameter(torch.tensor(stage_lut).type(torch.float32)) | 
			
		
	
		
		
			
				
					
					|  |  |  |         return lut_model |  |  |  |         return lut_model | 
			
		
	
		
		
			
				
					
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					|  |  | @ -96,7 +96,7 @@ class SRLutR90Y(nn.Module): | 
			
		
	
		
		
			
				
					
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					|  |  |  |         scale = int(stage_lut.shape[-1]) |  |  |  |         scale = int(stage_lut.shape[-1]) | 
			
		
	
		
		
			
				
					
					|  |  |  |         quantization_interval = 256//(stage_lut.shape[0]-1) |  |  |  |         quantization_interval = 256//(stage_lut.shape[0]-1) | 
			
		
	
		
		
			
				
					
					|  |  |  |         lut_model = SRLutRot90Y(quantization_interval=quantization_interval, scale=scale) |  |  |  |         lut_model = SRLutR90Y(quantization_interval=quantization_interval, scale=scale) | 
			
				
				
			
		
	
		
		
	
		
		
			
				
					
					|  |  |  |         lut_model.stage_lut = nn.Parameter(torch.tensor(stage_lut).type(torch.float32)) |  |  |  |         lut_model.stage_lut = nn.Parameter(torch.tensor(stage_lut).type(torch.float32)) | 
			
		
	
		
		
			
				
					
					|  |  |  |         return lut_model |  |  |  |         return lut_model | 
			
		
	
		
		
			
				
					
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