is there any way to make this faster by using library function?
Please help me with this…
It uses three tensor
input= tensor with size(minibatch,3,Height+51,Width+51)
gradoutput= tensor with size(minibatch,3, Height, Width)
kernel =tensor with size(minibatch,51, Height, Width)
grad=new tensor with size(minibatch,3, Height, Width)
for n in range(minibatch):		
		for i in range(Height):
			for j in range(Width):
				for k in range(3):
					gradcal=[0,0,0]
					
					for c in range(3):
						for l in range(51):
							gradcal[c]=gradcal[c]+kernel[n,l,i,j]*input[n,c,i+l,j+25]*gradoutput[n,c,i,j]
							
					
					
					grad[n,k,i,j]=gradcal[0]+gradcal[1]+gradcal[2]