Ewenwan opened a new issue, #14364:
URL: https://github.com/apache/tvm/issues/14364
```py
@T.prim_func
def before_inline(a: T.handle, c: T.handle, m:T.int32, n:T.int32) -> None:
A = T.match_buffer(a, (m, n))
B = T.alloc_buffer((m, n))
C = T.match_buffer(c, (m, n))
for i, j in T.grid(m, n):
with T.block("B"):
vi, vj = T.axis.remap("SS", [i, j])
B[vi, vj] = A[vi, vj] * 2.0
for i, j in T.grid(m, n):
with T.block("C"):
vi, vj = T.axis.remap("SS", [i, j])
C[vi, vj] = B[vi, vj] + 1.0
sch = tvm.tir.Schedule(before_inline)
sch.compute_inline(sch.get_block("B"))
print(sch.mod["main"].script())
```
# Error message:
```
ScheduleError: An error occurred in the schedule primitive 'compute-inline'.
The IR with diagnostic is:
# from tvm.script import tir as T
@tvm.script.ir_module
class Module:
@T.prim_func
def main(a: T.handle, c: T.handle, m: T.int32, n: T.int32) -> None:
A = T.match_buffer(a, [m, n], dtype="float32")
C = T.match_buffer(c, [m, n], dtype="float32")
# body
# with T.block("root")
B = T.alloc_buffer([m, n], dtype="float32")
for i, j in T.grid(m, n):
# tir.Block#0
with T.block("B"):
^^^^^^^^^^^^^^^^^^
vi, vj = T.axis.remap("SS", [i, j])
T.reads(A[vi, vj])
T.writes(B[vi, vj])
B[vi, vj] = A[vi, vj] * T.float32(2)
for i, j in T.grid(m, n):
with T.block("C"):
vi, vj = T.axis.remap("SS", [i, j])
T.reads(B[vi, vj])
T.writes(C[vi, vj])
C[vi, vj] = B[vi, vj] + T.float32(1)
Error message: The body of the inlined block should be in form of
'A[i, j, k, ...] = f(i, j, k, ...)',
where the indices on the left are distinct atomic variables,
and there should be no variables other than the index variables
```
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