Never mind, It's solved by using conv2d operation instead of directly 
subtensor operations!      LOL 

在 2017年4月19日星期三 UTC+8上午12:04:18,carter Frank写道:
>
> Hi,
>  I am using theano to define a loss function for the training of CNN, 
>  like Loss = T.sqrt(Gx**2+Gy**2).   
> My prediction G is a M*N matrix and Gx/Gy are a horizontal/vertical 
> gradient of the matrix prediction G, they have the same size M*N.   Gx[i,j] 
> = G[i+1,j]-G[i,j], Gy[i,j] = G[i,j+1]-G[i,j],
> I quite new to theano, how can I solve this fastly, thanks!
>
> Best,Fed
>

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