tkonolige commented on issue #12852:
URL: https://github.com/apache/tvm/issues/12852#issuecomment-1256682130
Here is another test case that prints out a bunch of `ThreadTraceApply`
errors:
```
import tvm
from tvm.script import tir as T
@T.prim_func
def matmul(
A: T.Buffer[(512, 512), "float32"],
B: T.Buffer[(512, 512), "float32"],
C: T.Buffer[(512, 512), "float32"],
)->None:
for i in range(512):
for j in range(512):
for k in range(512):
with T.block("update"):
C[i, j] = C[i, j] + A[i, k] * B[j, k]
s=tvm.meta_schedule.tune_tir(matmul, "llvm --num-cores 1",
tvm.meta_schedule.TuneConfig(100, 32), "tmp")
```
I tested it with the commit before #12720 and still got a bunch of errors.
Not sure if it is related to this.
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