Yanhan-cmd opened a new issue, #16358: URL: https://github.com/apache/tvm/issues/16358
 Steps to reproduce the behavior: git clone https://github.com/zkkli/I-ViT.git Just follow the TVM_benchmark. One or more operators have not been tuned. Please tune your model for better performance. Use DEBUG logging level to see more details. Traceback (most recent call last): File "D:/TVM/I-ViT/TVM_benchmark/evaluate_accuracy.py", line 97, in <module> main() File "D:/TVM/I-ViT/TVM_benchmark/evaluate_accuracy.py", line 81, in main lib = relay.build(func, target=target, params=pretrained_params) File "D:\Anaconda3\envs\tvm-build\lib\site-packages\tvm-0.15.dev103+g506eff23b-py3.8-win-amd64.egg\tvm\relay\build_module.py", line 364, in build graph_json, runtime_mod, params = bld_mod.build( File "D:\Anaconda3\envs\tvm-build\lib\site-packages\tvm-0.15.dev103+g506eff23b-py3.8-win-amd64.egg\tvm\relay\build_module.py", line 161, in build self._build( File "D:\Anaconda3\envs\tvm-build\lib\site-packages\tvm-0.15.dev103+g506eff23b-py3.8-win-amd64.egg\tvm\_ffi\_ctypes\packed_func.py", line 229, in __call__ _LIB.TVMFuncCall( OSError: exception: stack overflow tvm.__version__ ：0.15.dev0 Platform: LAPTOP Operating system: Windows Device: PC+RTX 3070 Python version: 3.8 GPU driver version (if applicable):12.0 CUDA/cuDNN version (if applicable):12.0 -- 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: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
