When I ran the tvm_pytorch_resnet18_inference.py, I met the problem

[Jie-KUN]

One or more operators have not been tuned. Please tune your model for better performance. Use DEBUG logging level to see more details.
Relay top-1 id: 281, class name: tabby, tabby cat, class probality: 0.3626886010169983
Torch top-1 id: 281, class name: tabby, tabby cat, class probality: 0.36268892884254456
Relay time(ms): 41.741
Torch time(ms): 16.326
free(): invalid pointer
Aborted

[ToleranceGui]

I met the same problem, how did you solve it?
thanks

[Jie-KUN]

/tvm/build/config.cmake
set(USE_LLVM "/usr/bin/llvm-config --link-static")
set(USE_MICRO OFF)
/tvm/CMakelist.txt
set(HIDE_PRIVATE_SYMBOLS ON)\
cmake -DCMAKE_BUILD_TYPE=Debug ../
make -j16
I modify the above .

[ToleranceGui]

these modifications worked
I have a new puzzle.
In terms of reasoning time, relay reasoning time is longer, which does not reflect the optimization effect of TVM?

[GeneralJing]

these modifications worked I have a new puzzle. In terms of reasoning time, relay reasoning time is longer, which does not reflect the optimization effect of TVM?

same question.
Relay time: 0.37134288150118666 seconds
Torch time: 0.0024548148998292164 seconds

[BBuf]

these modifications worked I have a new puzzle. In terms of reasoning time, relay reasoning time is longer, which does not reflect the optimization effect of TVM?

You should use AutoTVM or Ansor to optimize it. Please refer to : https://tvm.apache.org/docs/tutorial/autotvm_relay_x86.html & https://tvm.apache.org/docs/tutorial/auto_scheduler_matmul_x86.html