wrongtest opened a new pull request #10582:
URL: https://github.com/apache/tvm/pull/10582


   - After https://github.com/apache/tvm/pull/9727, the low level TIR memory 
access is on `Buffer` objects. The `Buffer` has `elem_offset` 
   
https://github.com/apache/tvm/blob/e34985b5b89e13cbbb7ebddee1ec5c1470a952f6/include/tvm/tir/buffer.h#L79-L80
   Thus the addressing rule for `BufferLoad`, `BufferStore` and `T.address_of` 
should also take this offset field into consideration.
   
   - Also, the buffer combine functionality in `StorageRewrite` pass currently 
create alias buffers to the alloc buffer var, which denotes the start offset of 
the merged buffer. But it seems illness since the alias buffer's accessed 
indices exceed the alias buffer extent.
       ```python
       # example from ut 
       @T.prim_func
       def func(A: T.Buffer[(4,), "float32"], A4: T.Buffer[(8,), "float32"]) -> 
None:
           A0 = T.allocate([16], "float32", "global:tag")
           A0_1 = T.buffer_decl([8], dtype="float32", data=A0.data, 
scope="global:tag")
           A0_2 = T.buffer_decl([8], dtype="float32", data=A0.data, 
scope="global:tag")
           A0_3 = T.buffer_decl([8], dtype="float32", data=A0.data, 
scope="global:tag")
           A0_4 = T.buffer_decl([8], dtype="float32", data=A0.data, 
scope="global:tag")
           for i in T.serial(8):
               A0_1[i] = A[i] + A[0] + T.float32(1)
           for i in T.serial(8):
               A0_2[8 + i] = A0_1[i] + A0_1[0] + T.float32(2)
           for i in T.serial(8):
               A0_3[i] = A0_2[8 + i] + A0_2[8] + T.float32(3)
           for i in T.serial(8):
               A0_4[8 + i] = A0_3[i] + A0_3[0] + T.float32(4)
           for i in T.serial(8):
               A4[i] = A0_4[8 + i] + A0_4[8] + T.float32(5)
       ```
       It would be great to set `elem_offset` to alias buffers, thus each alias 
buffer's address range is marked explicitly.
       ```python
       @T.prim_func
       def func(A: T.Buffer[(4,), "float32"], A4: T.Buffer[(8,), "float32"]) -> 
None:
           A0 = T.allocate([16], "float32", "global:tag")
           A0_1 = T.buffer_decl([8], dtype="float32", data=A0.data, 
scope="global:tag")
           A0_2 = T.buffer_decl([8], dtype="float32", data=A0.data, 
elem_offset=8, scope="global:tag")
           A0_3 = T.buffer_decl([8], dtype="float32", data=A0.data, 
scope="global:tag")
           A0_4 = T.buffer_decl([8], dtype="float32", data=A0.data, 
elem_offset=8, scope="global:tag")
           for i in T.serial(8):
               A0_1[i] = A[i] + A[0] + T.float32(1)
           for i in T.serial(8):
               A0_2[i] = A0_1[i] + A0_1[0] + T.float32(2)
           for i in T.serial(8):
               A0_3[i] = A0_2[i] + A0_2[0] + T.float32(3)
           for i in T.serial(8):
               A0_4[i] = A0_3[i] + A0_3[0] + T.float32(4)
           for i in T.serial(8):
               A4[i] = A0_4[i] + A0_4[0] + T.float32(5)
       ```


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