[I] [Bug] Crash when multiple PrimFunc objects are present in IRModule [tvm]

["Cookiee235 (via GitHub)" <gi...@apache.org>]

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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Re: [I] [Bug] Crash when multiple PrimFunc objects are present in IRModule [tvm]

["cbalint13 (via GitHub)" <gi...@apache.org>]

cbalint13 closed issue #18383: [Bug] Crash when multiple PrimFunc objects are present in IRModule
URL: https://github.com/apache/tvm/issues/18383


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