roastduck opened a new issue #5130: Wrong boundary check for GPU blocks / 
threads indicies
URL: https://github.com/apache/incubator-tvm/issues/5130
 
 
   The boundary check for GPU blocks / threads indices is wrong when they are 
used inside a loop range (loop condition).
   
   Code is better than words:
   
   Algorithm:
   ```python
   def f(i, j):
           p_begin, p_end = row_ptr[i], row_ptr[i + 1]
           p_axis = tvm.te.reduce_axis((0, p_end - p_begin), name='p_axis')
           p = p_axis + p_begin # To avoid #4929
           pp_begin, pp_end = tile_ptr[p], tile_ptr[p + 1]
           pp_axis = tvm.te.reduce_axis((0, pp_end - pp_begin), name='pp_axis')
           pp_idx = pp_axis + pp_begin # To avoid #4929
           x = A_val[pp_idx]
           y = B[A_idx[pp_idx], j]
           return tvm.te.sum(x * y, axis=(p_axis, pp_axis))
   return tvm.te.compute((m, n), f, name='C')
   ```
   *PS. (not related to this issue) Issue #4929 should be explicitly avoided 
here.*
   
   Schedule:
   ```python
   s = tvm.te.create_schedule(C.op)
   axis = s[C].fuse(*C.op.axis)
   blk, th = s[C].split(axis, factor=256)
   s[C].bind(blk, tvm.te.thread_axis('blockIdx.x'))
   s[C].bind(th, tvm.te.thread_axis('threadIdx.x'))
   ```
   
   The generated CUDA code is like this:
   ```cuda
   extern "C" __global__ void csrmm_kernel0(void** __restrict__ C, void** 
__restrict__ row_ptr, void** __restrict__ tile_ptr, void** __restrict__ A_val, 
void** __restrict__ B, void** __restrict__ A_idx) {
     if (((((int)blockIdx.x) * 8) + (((int)threadIdx.x) >> 5)) < 21954) {
       if (((((int)blockIdx.x) * 256) + ((int)threadIdx.x)) < 702528) {
         (( float*)C)[(((((int)blockIdx.x) * 256) + ((int)threadIdx.x)))] = 
0.000000e+00f;
       }
     }
     for (int p_axis = 0; p_axis < ((( int*)row_ptr)[((((((int)blockIdx.x) * 8) 
+ (((int)threadIdx.x) >> 5)) + 1))] - (( int*)row_ptr)[(((((int)blockIdx.x) * 
8) + (((int)threadIdx.x) >> 5)))]); ++p_axis) {
       for (int pp_axis = 0; pp_axis < ((( int*)tile_ptr)[(((p_axis + (( 
int*)row_ptr)[(((((int)blockIdx.x) * 8) + (((int)threadIdx.x) >> 5)))]) + 1))] 
- (( int*)tile_ptr)[((p_axis + (( int*)row_ptr)[(((((int)blockIdx.x) * 8) + 
(((int)threadIdx.x) >> 5)))]))]); ++pp_axis) {
         if (((((int)blockIdx.x) * 8) + (((int)threadIdx.x) >> 5)) < 21954) {
           if (((((int)blockIdx.x) * 256) + ((int)threadIdx.x)) < 702528) {
             if (p_axis < ((( int*)row_ptr)[((((((int)blockIdx.x) * 8) + 
(((int)threadIdx.x) >> 5)) + 1))] - (( int*)row_ptr)[(((((int)blockIdx.x) * 8) 
+ (((int)threadIdx.x) >> 5)))])) {
               if (pp_axis < ((( int*)tile_ptr)[(((p_axis + (( 
int*)row_ptr)[(((((int)blockIdx.x) * 8) + (((int)threadIdx.x) >> 5)))]) + 1))] 
- (( int*)tile_ptr)[((p_axis + (( int*)row_ptr)[(((((int)blockIdx.x) * 8) + 
(((int)threadIdx.x) >> 5)))]))])) {
                 (( float*)C)[(((((int)blockIdx.x) * 256) + 
((int)threadIdx.x)))] = ((( float*)C)[(((((int)blockIdx.x) * 256) + 
((int)threadIdx.x)))] + ((( float*)A_val)[((pp_axis + (( 
int*)tile_ptr)[((p_axis + (( int*)row_ptr)[(((((int)blockIdx.x) * 8) + 
(((int)threadIdx.x) >> 5)))]))]))] * (( float*)B)[((((( int*)A_idx)[((pp_axis + 
(( int*)tile_ptr)[((p_axis + (( int*)row_ptr)[(((((int)blockIdx.x) * 8) + 
(((int)threadIdx.x) >> 5)))]))]))] * 32) + (((int)threadIdx.x) & 31)))]));
               }
             }
           }
         }
       }
     }
   }
   ```
   
   Please look at the `< 21954` and the `< 702528` check **inside** the loops. 
I think it should be **outside** the loops, because the loops are using these 
thread indices as array indices. This problem leads to an illegal memory access 
in my program.
   
   Testing with the latest version (fdc8b0dd1763aece4ce457a7baf522c2989ac6c4).

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