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[Bug] undefined symbol _ZN3tvm3ffi9ReprPrintERKNS0_3AnyE in libtvm_compiler.so #19486
Description
USE_CUDA=OFF USE_ROCM=ON USE_LLVM=ON
- after
pip install -e .a short test was run, but encounter error - looks like tvm_ff :: ReprPrint is not resolved
- May be related to [REFACTOR][NODE] Migrate ReprPrinter to tvm-ffi __ffi_repr__ mechanism #19461
- tvm_compiler would probably need to depend on tvm_ffi_objs.
Expected behavior
import tvm is able to load
Actual behavior
Traceback (most recent call last):
File "<test>/tvmSample1.py", line 1, in <module>
import tvm
File "<tvm>/python/tvm/__init__.py", line 29, in <module>
from .base import TVMError, __version__, _RUNTIME_ONLY
File "<tvm>/python/tvm/base.py", line 60, in <module>
_LIB = libinfo.load_lib_ctypes(
"tvm", "tvm_compiler", "RTLD_LOCAL", extra_lib_paths=_extra_lib_paths
)
File "<tvm>/python/tvm/libinfo.py", line 143, in load_lib_ctypes
return ctypes.CDLL(str(lib_path), getattr(ctypes, mode))
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<conda env>/tvm/lib/python3.14/ctypes/__init__.py", line 433, in __init__
self._handle = self._load_library(name, mode, handle, winmode)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<conda env>/tvm/lib/python3.14/ctypes/__init__.py", line 473, in _load_library
return _dlopen(name, mode)
OSError: <conda env>/tvm/lib/python3.14/site-packages/tvm/lib/libtvm_compiler.so: undefined symbol: _ZN3tvm3ffi9ReprPrintERKNS0_3AnyE
Environment
- Ubuntu 24, Linux 6.17.0-1017-oem with ROCm 7.2.2 (AMD Ryzen™ AI 9 HX 370, GPU 890M, no Nvidia GPU)
- The CUDA compiler identification is NVIDIA 13.1.115 with host compiler GNU 14.3.0 [conda virtual environment]
Steps to reproduce
"-DTVM_BUILD_PYTHON_MODULE=ON",
"-DUSE_CUDA=OFF", "-DUSE_ROCM=ON", "-DUSE_LLVM=ON",
"-DCMAKE_C_COMPILER=/opt/rocm/llvm/bin/clang",
"-DCMAKE_CXX_COMPILER=/opt/rocm/llvm/bin/clang++"
- set(USE_LLVM "/usr/bin/llvm-config-20" )
- pip install -e . [in a conda virtual environment]
- python -C 'import tvm'
Triage
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- needs-triage
Activity
tqchen commentedon May 1, 2026
likely you need to use the latest tvm-ffi
petersktang commentedon May 1, 2026
Steps I used
Do you mean to say I should not be using tvm-ffi @ 3c35034, this is from tvm/3rdparty/tvm-ffi already.
tqchen commentedon May 2, 2026
try to do
pip install 3rdparty/tvm-ffi