Extend 1D Convolution Kernel Code to 2D

So, I'm having some issues finishing this question. It asks to take the following code and extend it to 2D.

__global__ void convolution_1D_basic_kernel(float *N, float *P, int Mask_Width, int Width) { int i = blockIdx.x*blockDim.x + threadIdx.x; __shared__ float N_ds[TILE_SIZE + MAX_MASK_WIDTH -1]; int n = Mask_Width/2; int halo_index_left = (blockIdx.x - 1)*blockDim.x + threadIdx.x; if (threadIdx.x >= blockDim.x - n) { N_ds[threadIdx.x - (blockDim.x - n)] = (halo_index_left < 0) ? 0 : N[halo_index_left]; } N_ds[n + threadIdx.x] = N[blockIdx.x*blockDim.x + threadIdx.x]; int halo_index_right = (blockIdx.x + 1)*blockDim.x + threadIdx.x; if (threadIdx.x < n) {

N_ds[n + blockDim.x + threadIdx.x] = (halo_index_right >= Width) ? 0 : N[halo_index_right]; } __syncthreads(); float Pvalue = 0; for(intj = 0; j < Mask_Width; j++) { Pvalue += N_ds[threadIdx.x + j]*M[j]; } P[i] = Pvalue; }