SCNN can't run for the errors of compute_shape

[qzhong0605]

Issue summary

When I ran the scnn branch for the method on NIPS 2016, it crashed down

Your system configuration

Operating system: CentOS-7.3
Compiler: gcc-4.8.5 and g++-4.8.5
CUDA version (if applicable): CUDA-9.0
CUDNN version (if applicable): cudnn-7.3
BLAS: openblas

Detailed problem

When I just tested the model , it crashed down on the convolution layer for the compute_shape function. The following is the dump of the call stack:

(gdb) bt
#0 0x00000000004212fc in __gnu_cxx::new_allocator::construct(int*, int const&) (this=0x1076fe90, __p=0x4, __val=@0x7ffd0f353d2c: 149)
at /usr/include/c++/4.8.2/ext/new_allocator.h:130
#1 0x000000000041f110 in __gnu_cxx::__alloc_traits<std::allocator >::construct(std::allocator&, int*, int const&) (__a=..., __p=0x4, __arg=@0x7ffd0f353d2c: 149) at /usr/include/c++/4.8.2/ext/alloc_traits.h:216
#2 0x000000000041d068 in std::vector<int, std::allocator >::push_back(int const&) (this=0x1076fe90, __x=@0x7ffd0f353d2c: 149)
at /usr/include/c++/4.8.2/bits/stl_vector.h:905
#3 0x00007fce7d23acc0 in caffe::ConvolutionLayer::compute_output_shape() (this=0x1076f9b0) at src/caffe/layers/conv_layer.cpp:20
#4 0x00007fce7d2496f4 in caffe::BaseConvolutionLayer::Reshape(std::vector<caffe::Blob, std::allocator<caffe::Blob> > const&, std::vector<caffe::Blob, std::allocator<caffe::Blob> > const&) (this=0x1076f9b0, bottom=std::vector of length 1, capacity 1 = {...}, top=std::vector of length 1, capacity 1 = {...}) at src/caffe/layers/base_conv_layer.cpp:385
#5 0x00007fce7d197cd1 in caffe::Layer::SetUp(std::vector<caffe::Blob, std::allocator<caffe::Blob> > const&, std::vector<caffe::Blob, std::allocator<caffe::Blob> > const&) (this=0x1076f9b0, bottom=std::vector of length 1, capacity 1 = {...}, top=std::vector of length 1, capacity 1 = {...}) at ./include/caffe/layer.hpp:73
#6 0x00007fce7d2e0471 in caffe::Net::Init(caffe::NetParameter const&) (this=0x7ffd0f3548e0, in_param=...) at src/caffe/net.cpp:151
#7 0x00007fce7d2debb8 in caffe::Net::Net(std::string const&, caffe::Phase, int, std::vector<std::string, std::allocatorstd::string > const*, caffe::Net const*) (this=0x7ffd0f3548e0, param_file="/home/zhibin/qzhong/caffe/models/ilsvrc12_inceptionv4/inceptionv4_train_val.prototxt", phase=caffe::TEST, level=0, stages=0x7ffd0f354e40, root_net=0x0) at src/caffe/net.cpp:47
#8 0x00000000004195e3 in test() () at tools/caffe.cpp:285
#9 0x000000000041af6b in main(int, char**) (argc=2, argv=0x7ffd0f3550f8) at tools/caffe.cpp:451

Is there anything changed on the compute_shape function of convolution layer ?