[GitHub] [tvm] cxx122 commented on issue #12569: [Bug] no divide by zero report while te.floordiv(a, b-b)

[GitBox <gi...@apache.org>]

cxx122 commented on issue #12569:
URL: https://github.com/apache/tvm/issues/12569#issuecomment-1235054211

   > If that's the case, that seems we need to check the generated code. Because normally if the generated code remains the semantic of div by zero, it should raise a floating-point exception.
   
   Here is the generated code I got from this program, seems to be a problem with T_subtract().
   ```
   primfn(TENSOR_0_1: handle, TENSOR_1_1: handle, TENSOR_2_1: handle) -> ()
     attr = {"from_legacy_te_schedule": True, "global_symbol": "main", "tir.noalias": True}
     buffers = {TENSOR_2: Buffer(TENSOR_2_2: Pointer(int8), int8, [5], []),
                TENSOR_0: Buffer(TENSOR_0_2: Pointer(int8), int8, [], []),
                TENSOR_1: Buffer(TENSOR_1_2: Pointer(int8), int8, [], [])}
     buffer_map = {TENSOR_0_1: TENSOR_0, TENSOR_1_1: TENSOR_1, TENSOR_2_1: TENSOR_2} {
     allocate(T_subtract: Pointer(global int8), int8, [1]), storage_scope = global {
       T_subtract[0] = ((int8*)TENSOR_0_2[0] - (int8*)TENSOR_0_2[0])
       for (fcc: int32, 0, 5) {
         TENSOR_2_2[fcc] = floordiv((int8*)TENSOR_1_2[0], (int8*)T_subtract[0])
       }
     }
   }
   ```


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