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. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@tvm.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org