How do tvm deal with axis border?

Questions
#1

Compute like below:

def filter_compute(dtype, M, N, RD):

A = tvm.placeholder((M, N), name='A', dtype=dtype)

rx = tvm.reduce_axis((0, RD), name='rx')
ry = tvm.reduce_axis((0, RD), name='ry')
H_RD = RD//2
D = tvm.compute((M, N), lambda i,j: tvm.sum(A[i-H_RD+ry, j-H_RD+rx],axis=[ry, rx]), name='D')
return [A, D]

The generate lower code(M=1080,N=1920,RD=5):

produce D {

for (i, 0, 1080) {

for (j, 0, 1920) {

  D[((i*1920) + j)] = (uint8)0
  for (ry, 0, 5) {
    for (rx, 0, 5) {
      D[((i*1920) + j)] = (D[((i*1920) + j)] + A[(((((i*1920) + (ry*1920)) + j) + rx) - 3842)])
    }
  }
}

} }

The above code will exceed A’s border and cause memory over access error.

So how could tvm comupte with safe border checking automatically without using pad and other hand-checking?.