squeezenet segment fault

[alohali]

./quantized.out models/SqueezeNetV1.0.mnn models/squeeneti8.out models/squeezei8.json
modelFile=s models/SqueezeNetV1.0.mnn in main, 21
preTreatConfig=s models/squeezei8.json in main, 22
dstFile=s models/squeeneti8.out in main, 23
[09:31:22] /home/firefly/git/MNN/tools/quantization/quantized.cpp:50: calibrate the feature according to KL-divergence and quantize model...
[09:31:22] /home/firefly/git/MNN/tools/quantization/calibration.cpp:102: use feature quantization method: KL
[09:31:22] /home/firefly/git/MNN/tools/quantization/calibration.cpp:103: use weight quantization method: MAX_ABS
[09:31:22] /home/firefly/git/MNN/tools/quantization/Helper.cpp:61: used image num: 2
Segmentation fault (core dumped)

GDB info:
Starting program: /home/firefly/git/MNN/buildq/quantized.out models/SqueezeNetV1.0.mnn models/squeeneti8.out models/squeezei8.json
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/aarch64-linux-gnu/libthread_db.so.1".
[09:14:06] /home/firefly/git/MNN/tools/quantization/quantized.cpp:21: >>> modelFile: models/SqueezeNetV1.0.mnn
[09:14:06] /home/firefly/git/MNN/tools/quantization/quantized.cpp:22: >>> preTreatConfig: models/squeezei8.json
[09:14:06] /home/firefly/git/MNN/tools/quantization/quantized.cpp:23: >>> dstFile: models/squeeneti8.out
[09:14:06] /home/firefly/git/MNN/tools/quantization/quantized.cpp:50: Calibrate the feature and quantize model...
[09:14:06] /home/firefly/git/MNN/tools/quantization/calibration.cpp:107: Use feature quantization method: KL
[09:14:06] /home/firefly/git/MNN/tools/quantization/calibration.cpp:108: Use weight quantization method: MAX_ABS
[09:14:06] /home/firefly/git/MNN/tools/quantization/Helper.cpp:100: used image num: 1
[New Thread 0x7fb78a01e0 (LWP 11516)]
[New Thread 0x7fb70a01e0 (LWP 11517)]
[New Thread 0x7fb68a01e0 (LWP 11518)]

Thread 1 "quantized.out" received signal SIGSEGV, Segmentation fault.
0x0000000000512f24 in flatbuffers::Vector::size (this=0x0) at /home/firefly/git/MNN/tools/quantization/../../tools/converter/source/IR/flatbuffers/flatbuffers.h:211
211 uoffset_t size() const { return EndianScalar(length_); }
(gdb) bt
#0 0x0000000000512f24 in flatbuffers::Vector::size (this=0x0) at /home/firefly/git/MNN/tools/quantization/../../tools/converter/source/IR/flatbuffers/flatbuffers.h:211
#1 0x0000007fb7f3c8c0 in MNN::ConvolutionFloatFactory::create (inputs=std::vector of length 1, capacity 1 = {...}, outputs=std::vector of length 1, capacity 1 = {...}, op=0x568e80,
backend=0x55c250) at /home/firefly/git/MNN/source/backend/cpu/compute/ConvolutionFloatFactory.cpp:74
#2 0x0000007fb7f2b374 in MNN::ConvolutionFactory::onCreate (this=0x554c40, inputs=std::vector of length 1, capacity 1 = {...}, outputs=std::vector of length 1, capacity 1 = {...},
op=0x568e80, backend=0x55c250) at /home/firefly/git/MNN/source/backend/cpu/CPUConvolution.cpp:74
#3 0x0000007fb7f22df8 in MNN::CPUBackend::onCreate (this=0x55c250, inputs=std::vector of length 1, capacity 1 = {...}, outputs=std::vector of length 1, capacity 1 = {...}, op=0x568e80)
at /home/firefly/git/MNN/source/backend/cpu/CPUBackend.cpp:178
#4 0x0000007fb7e97a8c in MNN::Pipeline::Unit::_createExecution (this=0x586770, bn=0x55c250, cpuBn=0x55c250) at /home/firefly/git/MNN/source/core/Pipeline.cpp:96
#5 0x0000007fb7e982a0 in MNN::Pipeline::Unit::prepare (this=0x586770, bn=0x55c250, cpuBn=0x55c250) at /home/firefly/git/MNN/source/core/Pipeline.cpp:236
#6 0x0000007fb7e98934 in MNN::Pipeline::prepare (this=0x585530) at /home/firefly/git/MNN/source/core/Pipeline.cpp:298
#7 0x0000007fb7e8a388 in MNN::Session::resize (this=0x588c50) at /home/firefly/git/MNN/source/core/Session.cpp:128
#8 0x0000007fb7e7fef8 in MNN::Interpreter::createSession (this=0x55c130, config=...) at /home/firefly/git/MNN/source/core/Interpreter.cpp:121
#9 0x00000000004bb048 in Calibration::_initMNNSession (this=0x567500, modelBuffer=0x55db00 "\030", bufferSize=7788, channels=3)
at /home/firefly/git/MNN/tools/quantization/calibration.cpp:123
#10 0x00000000004bae70 in Calibration::Calibration (this=0x567500, model=0x5631e0, modelBuffer=0x55db00 "\030", bufferSize=7788, configPath="models/squeezei8.json")
at /home/firefly/git/MNN/tools/quantization/calibration.cpp:116
#11 0x0000000000511d78 in main (argc=4, argv=0x7ffffff308) at /home/firefly/git/MNN/tools/quantization/quantized.cpp:52
(gdb) vim /home/firefly/git/MNN/tools/quantization/../../tools/converter/source/IR/flatbuffers/flatbuffers.h

[alohali]

so does other networks and mobilenetTest.out/backendtest.out but benchmark.out works OK

aarch64-linux-gcc/g++ 5.4 , RK3399

-- >>>>>>>>>>>>>
-- MNN BUILD INFO:
-- System: Linux
-- Processor: aarch64
-- DEBUG: ON
-- Metal: OFF
-- OpenCL: OFF
-- OpenGL: OFF
-- Vulkan: OFF
-- OpenMP: OFF
-- Hideen: FALSE
-- [*] searching .c
-- [] searching .cc
-- [] searching .cpp
-- [] searching *.s *.S
-- /home/firefly/git/MNN/buildq/benchmark
-- Configuring done
-- Generating done
-- Build files have been written to: /home/firefly/git/MNN/buildq

[alohali]

gdb --args ./mobilenetTest.out ../benchmark/models/MobileNetV2_224.mnn 224x224.jpg

GNU gdb (Ubuntu 7.11.1-0ubuntu1~16.5) 7.11.1
Copyright (C) 2016 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later http://gnu.org/licenses/gpl.html
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law. Type "show copying"
and "show warranty" for details.
This GDB was configured as "aarch64-linux-gnu".
Type "show configuration" for configuration details.
For bug reporting instructions, please see:
http://www.gnu.org/software/gdb/bugs/.
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For help, type "help".
Type "apropos word" to search for commands related to "word"...
Reading symbols from ./mobilenetTest.out...done.
(gdb) run
Starting program: /home/firefly/git/MNN/buildq/mobilenetTest.out models/MobileNetV2_224.mnn ../resource/images/224x224.jpg
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/aarch64-linux-gnu/libthread_db.so.1".
[New Thread 0x7fb78a11e0 (LWP 13949)]
[New Thread 0x7fb70a11e0 (LWP 13950)]
[New Thread 0x7fb68a11e0 (LWP 13951)]

Thread 1 "mobilenetTest.o" received signal SIGSEGV, Segmentation fault.
0x0000007fb7ebafc0 in flatbuffers::Vector::size (this=0x0) at /home/firefly/git/MNN/3rd_party/flatbuffers/include/flatbuffers/flatbuffers.h:211
211 uoffset_t size() const { return EndianScalar(length_); }
(gdb) bt
#0 0x0000007fb7ebafc0 in flatbuffers::Vector::size (this=0x0) at /home/firefly/git/MNN/3rd_party/flatbuffers/include/flatbuffers/flatbuffers.h:211
#1 0x0000007fb7f3e638 in MNN::ConvolutionFloatFactory::create (inputs=std::vector of length 1, capacity 1 = {...}, outputs=std::vector of length 1, capacity 1 = {...}, op=0x454194,
backend=0x454ca0) at /home/firefly/git/MNN/source/backend/cpu/compute/ConvolutionFloatFactory.cpp:74
#2 0x0000007fb7f2d05c in MNN::ConvolutionFactory::onCreate (this=0x449be0, inputs=std::vector of length 1, capacity 1 = {...}, outputs=std::vector of length 1, capacity 1 = {...},
op=0x454194, backend=0x454ca0) at /home/firefly/git/MNN/source/backend/cpu/CPUConvolution.cpp:74
#3 0x0000007fb7f2467c in MNN::CPUBackend::onCreate (this=0x454ca0, inputs=std::vector of length 1, capacity 1 = {...}, outputs=std::vector of length 1, capacity 1 = {...}, op=0x454194)
at /home/firefly/git/MNN/source/backend/cpu/CPUBackend.cpp:175
#4 0x0000007fb7e9936c in MNN::Pipeline::Unit::_createExecution (this=0x45c5e0, bn=0x454ca0, cpuBn=0x454ca0) at /home/firefly/git/MNN/source/core/Pipeline.cpp:122
#5 0x0000007fb7e99b70 in MNN::Pipeline::Unit::prepare (this=0x45c5e0, bn=0x454ca0, cpuBn=0x454ca0) at /home/firefly/git/MNN/source/core/Pipeline.cpp:262
#6 0x0000007fb7e9a204 in MNN::Pipeline::prepare (this=0x45c5b0) at /home/firefly/git/MNN/source/core/Pipeline.cpp:324
#7 0x0000007fb7e8c120 in MNN::Session::resize (this=0x45baf0) at /home/firefly/git/MNN/source/core/Session.cpp:117
#8 0x0000007fb7e82790 in MNN::Interpreter::createSession (this=0x44fdc0, config=...) at /home/firefly/git/MNN/source/core/Interpreter.cpp:196
#9 0x000000000041f30c in main (argc=3, argv=0x7ffffff328) at /home/firefly/git/MNN/tools/cpp/mobilenetTest.cpp:42

[czy2014hust]

benchmark下的models只能用于测试性能，也就是benchmakr.out测试，其他不能用