转caffe模型core dump

[kuov]

模型有点儿大170多M，是resnet50的，转的时候core dump了，gdb信息如下
(gdb) bt
#0 __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:51
#1 0x00007ffff6516801 in __GI_abort () at abort.c:79
#2 0x00007ffff6b6b957 in ?? () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#3 0x00007ffff6b71ab6 in ?? () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#4 0x00007ffff6b71af1 in std::terminate() ()
from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#5 0x00007ffff6b71d24 in __cxa_throw ()
from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#6 0x00007ffff6b7229c in operator new(unsigned long) ()
from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#7 0x00007ffff6c03bc7 in std::__cxx11::basic_string<char, std::char_traits, std::allocator >::_M_assign(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&) ()
from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#8 0x00007ffff77fbb15 in caffe2MNNNet(std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::unique_ptr<MNN::NetT, std::default_deleteMNN::NetT >&) ()
from /home/cccp/mnt/CUIT/MNN-0.2.1.0/tools/converter/build/source/caffe/libcaffe.so
#9 0x000055555556af1c in main ()

最新的版本也会报这个错

[kuov]

崩溃的地方是在 如下代码处：
for (int l = 0; l < caffeProtxt.layer_size(); ++l) {
MNN::OpT* op = new MNN::OpT;
auto& layer = caffeProtxt.layer(l);
op->name = layer.name();
// Input Output
for (int t = 0; t < layer.top_size(); ++t) {
op->outputIndexes.emplace_back(tensorName.find(layer.top(t))->second);
}
LG<<"caffe2MNNNet7:1";
for (int t = 0; t < layer.bottom_size(); ++t) {
op->inputIndexes.emplace_back(tensorName.find(layer.bottom(t))->second);
}
LG<<"caffe2MNNNet7:2";
auto creator = OpConverterSuit::get()->search(layer.type());
if (nullptr == creator) {
LG << "Don't support type [ " << layer.type().c_str() << " ], for " << layer.name().c_str();
delete op;
break;
}
const caffe::LayerParameter* layerP = nullptr;
for (int v = 0; v < caffeModel.layer_size(); ++v) {
auto& l = caffeModel.layer(v);
if (l.name() == layer.name()) {
layerP = &l;
break;
}
}
if (NULL == layerP) {
layerP = &layer;
}
op->type = creator->opType();
op->main.type = creator->type();

    creator->run(op, layer, *layerP);
    LG<<"caffe2MNNNet7:3";
    netT->oplists.emplace_back(op);
}

[nullian]

转caffe模型 直接崩溃了

gdb --args ./MNNConvert -f CAFFE --prototxt squeezenet_v1.1.caffe.prototxt --modelFile squeezenet_v1.1.caffe.caffemodel --MNNModel squeezenet_v1.1.caffe.mnn --bizCode biz
GNU gdb (Ubuntu 7.11.1-0ubuntu1~16.5) 7.11.1
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License GPLv3+: GNU GPL version 3 or later http://gnu.org/licenses/gpl.html
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Type "show configuration" for configuration details.
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Reading symbols from ./MNNConvert...(no debugging symbols found)...done.
(gdb) run
Starting program: /home/yuanhao/osc/MNN-master/tools/converter/build/MNNConvert -f CAFFE --prototxt squeezenet_v1.1.caffe.prototxt --modelFile squeezenet_v1.1.caffe.caffemodel --MNNModel squeezenet_v1.1.caffe.mnn --bizCode biz
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".

MNNConverter Version: 0.0.0.1 - MNN @ 2018

Start to Convert Other Model Format To MNN Model...

Program received signal SIGSEGV, Segmentation fault.
__memcpy_avx_unaligned ()
at ../sysdeps/x86_64/multiarch/memcpy-avx-unaligned.S:244
244 ../sysdeps/x86_64/multiarch/memcpy-avx-unaligned.S: No such file or directory.
(gdb) bt
#0 __memcpy_avx_unaligned ()
at ../sysdeps/x86_64/multiarch/memcpy-avx-unaligned.S:244
#1 0x00007ffff6c183c2 in std::__cxx11::basic_string<char, std::char_traits, std::allocator >::_M_assign(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&) ()
from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#2 0x00007ffff7808a70 in caffe2MNNNet(std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::unique_ptr<MNN::NetT, std::default_deleteMNN::NetT >&) ()
from /home/yuanhao/osc/MNN-master/tools/converter/build/source/caffe/libcaffe.so
#3 0x00000000004142dc in main ()

[nullian]

我这里是有两个问题
1.没有链接 pthread
2.使用了resource目录下的模型

修改了之后可以了