使用mnn_offline_quant.py时，执行到quant_func方法的net.forward时候报错了Tensorflow's interp's shape should be length two, Segmentation fault (core dumped)

[githubpeichao]

平台(如果交叉编译请再附上交叉编译目标平台): linux x86, ubuntu 18.04

Platform(Include target platform as well if cross-compiling):

Github版本: master分支

Github Version: tag 2.8.1

comment = d284430f92557aa8b4cc435752b1dff3309f2e38

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Provide date (or better yet, git revision from the comment section of the zip. Obtainable using 7z l PATH/TO/ZIP and search for Comment in the output) if downloading source as zip,otherwise provide the first commit id from the output of git commit

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Compiling Method

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[githubpeichao]

看起来是到c++的代码了，我该如何往下排查

[githubpeichao]

使用gdb打印出来的堆栈日志 `0x00007fffe7ef27b1 in MNN::Express::ConvBNReluFusedModule::fakeQuantFeatureWithMinMax(MNN::Express::VARP, MNN::Express::VARP, MNN::Express::VARP, MNN::Express::VARP, std::vector<int, std::allocator >) () from /home/ubuntu/miniconda3/envs/mnn/lib/python3.7/site-packages/_mnncengine.cpython-37m-x86_64-linux-gnu.so (gdb) backtrace

0 0x00007fffe7ef27b1 in MNN::Express::ConvBNReluFusedModule::fakeQuantFeatureWithMinMax(MNN::Express::VARP, MNN::Express::VARP, MNN::Express::VARP, MNN::Express::VARP, std::vector<int, std::allocator >) ()

from /home/ubuntu/miniconda3/envs/mnn/lib/python3.7/site-packages/_mnncengine.cpython-37m-x86_64-linux-gnu.so

1 0x00007fffe7f0b329 in MNN::Express::ConvBNReluFusedModule::onForward(std::vector<MNN::Express::VARP, std::allocator > const&) () from /home/ubuntu/miniconda3/envs/mnn/lib/python3.7/site-packages/_mnncengine.cpython-37m-x86_64-linux-gnu.so

2 0x00007fffe7e1b0e2 in MNN::Express::PipelineModule::onForward(std::vector<MNN::Express::VARP, std::allocator > const&) () from /home/ubuntu/miniconda3/envs/mnn/lib/python3.7/site-packages/_mnncengine.cpython-37m-x86_64-linux-gnu.so

3 0x00007fffe7b55629 in PyMNN_Module_forward (self=, args=) at /opt/rh/devtoolset-10/root/usr/include/c++/10/bits/shared_ptr_base.h:1324

4 0x00005555556cbf40 in _PyMethodDef_RawFastCallKeywords ()

5 0x00005555556cc14f in _PyMethodDescr_FastCallKeywords ()

6 0x0000555555727fa9 in _PyEval_EvalFrameDefault ()

7 0x00005555556cb07b in _PyFunction_FastCallKeywords ()

8 0x0000555555723a66 in _PyEval_EvalFrameDefault ()

9 0x00005555556cb07b in _PyFunction_FastCallKeywords ()

10 0x0000555555723a66 in _PyEval_EvalFrameDefault ()

11 0x0000555555669059 in _PyEval_EvalCodeWithName ()

12 0x0000555555669f24 in PyEval_EvalCodeEx ()

13 0x0000555555669f4c in PyEval_EvalCode ()

14 0x0000555555782a14 in run_mod ()

15 0x000055555578bf11 in PyRun_FileExFlags ()

16 0x000055555578c104 in PyRun_SimpleFileExFlags ()

17 0x000055555578dbbd in pymain_main.constprop ()

18 0x000055555578de30 in _Py_UnixMain ()

19 0x00007ffff7ccb0b3 in __libc_start_main (main=0x555555649d20

, argc=8, argv=0x7fffffffd638, init=, fini=, rtld_fini=, stack_end=0x7fffffffd628) at ../csu/libc-start.c:308

20 0x0000555555733052 in _start () at ../sysdeps/x86_64/elf/start.S:103`

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