vincentccc opened a new issue, #16288:
URL: https://github.com/apache/tvm/issues/16288
When I deserialize transform_block_layout primitive cause schedule error, I
cannot use gdb to find which line cause this problem, the error message shows
schedule error.
reproduce code:
`import tvm
import tvm.testing
from tvm import tir
from tvm.script import tir as T
from tvm import meta_schedule as ms
import os.path as osp
def _create_tmp_database(
tmpdir: str, mod_eq: str = "structural"
) -> ms.database.JSONDatabase:
path_workload = osp.join(tmpdir, "workloads.json")
path_tuning_record = osp.join(tmpdir, "tuning_records.json")
return ms.database.JSONDatabase(
path_workload, path_tuning_record, module_equality=mod_eq
)
@T.prim_func
def elementwise(
A: T.Buffer((128, 128), "float32"), B: T.Buffer((128, 128), "float32")
) -> None:
for i, j in T.grid(128, 128):
with T.block("B"):
vi, vj = T.axis.remap("SS", [i, j])
B[vi, vj] = A[vi, vj] * 2.0
sch = tir.Schedule(elementwise, debug_mask="all")
block = sch.get_block("B")
sch.transform_block_layout(block, lambda i, j: (i * 128 + j,))
mod = sch.mod
tmpdir = "./transform_logs"
path_workload = tmpdir + "/workloads.json"
path_tuning_record = tmpdir + "/tuning_records.json"
database = _create_tmp_database(tmpdir)
token = database.commit_workload(mod)
trace = sch.trace
records = [
ms.database.TuningRecord(
trace,
token,
[7.0, 8.0, 9.0],
tvm.target.Target("cuda"),
ms.arg_info.ArgInfo.from_prim_func(func=mod["main"]),
)
]
for record in records:
database.commit_tuning_record(record)
database = ms.database.JSONDatabase(
path_workload=path_workload,
path_tuning_record=path_tuning_record,
)
`
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