Cookiee235 opened a new issue, #18383:
URL: https://github.com/apache/tvm/issues/18383
### Actual behavior
```
Traceback (most recent call last):
File "test.py", line 36, in <module>
sch = ms.tir_integration.compile_tir(database, tir_mod, 'llvm
--num-cores=16')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/software/tvm-latest/python/tvm/meta_schedule/tir_integration.py",
line 268, in compile_tir
mod = _normalize_mod(mod)
^^^^^^^^^^^^^^^^^^^
File "python/tvm_ffi/cython/function.pxi", line 758, in
core.Function.__call__
File "python/tvm_ffi/cython/function.pxi", line 914, in
core.tvm_ffi_callback
File "/software/tvm-latest/python/tvm/meta_schedule/tune_context.py", line
56, in _normalize_mod
(func_name,) = func_names
ValueError: too many values to unpack (expected 1)
```
### Environment
tvm-latest(today)
### Steps to reproduce
```
import tvm
from tvm import meta_schedule as ms
tir_str = """# from tvm.script import ir as I
# from tvm.script import tir as T
@I.ir_module
class Module:
@T.prim_func
def private_add(lhs: T.Buffer((32, 64), "float32"), rhs: T.Buffer((32,
64), "float32"), T_add: T.Buffer((32, 64), "float32")):
T.func_attr({"tir.noalias": True})
for ax0, ax1 in T.grid(32, 64):
with T.block("T_add"):
v_ax0, v_ax1 = T.axis.remap("SS", [ax0, ax1])
T.reads(lhs[v_ax0, v_ax1], rhs[v_ax0, v_ax1])
T.writes(T_add[v_ax0, v_ax1])
T_add[v_ax0, v_ax1] = lhs[v_ax0, v_ax1] + rhs[v_ax0, v_ax1]
@T.prim_func
def main(lhs: T.Buffer((32, 64), "float32"), rhs: T.Buffer((32, 64),
"float32"), T_add: T.Buffer((32, 64), "float32")):
T.func_attr({"target": T.target({"keys": ["cpu"], "kind": "llvm",
"mtriple": "x86_64-unknown-linux-gnu", "tag": ""}), "tir.noalias": True})
# with T.block("root"):
for ax0, ax1 in T.grid(32, 64):
with T.block("T_add"):
v_ax0, v_ax1 = T.axis.remap("SS", [ax0, ax1])
T.reads(lhs[v_ax0, v_ax1], rhs[v_ax0, v_ax1])
T.writes(T_add[v_ax0, v_ax1])
T_add[v_ax0, v_ax1] = lhs[v_ax0, v_ax1] + rhs[v_ax0, v_ax1]
"""
tir_mod = tvm.script.from_source(tir_str)
tir_mod.show()
database = ms.tir_integration.tune_tir(mod=tir_mod, target='llvm
--num-cores=16', work_dir='./tune_tmp', max_trials_global=1,
num_trials_per_iter=1)
sch = ms.tir_integration.compile_tir(database, tir_mod, 'llvm
--num-cores=16')
```
### Triage
* needs-triage
* meta-tuning
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