aharley / segaware Goto Github PK

When build caffe, this error occurs

CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/syncedmem.cpp
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/syncedmem.cpp:1:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/syncedmem.cpp:1:
/usr/local/cuda/include/cudnn.h:799:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(

It seems to relate with the compatibility of cudnn. Official caffe could be built on my computer, would you please update and solve this problem?

Hi,
I built the caffe from this repo and i am getting an error that
Error parsing text-format caffe.NetParameter: 62:15: Message type "caffe.LayerParameter" has no field named "deletebottom".

What might be the issue?
Regards, Vijay

I am currently running ./test_res.sh on a 11GB of GPU memory,gtx1080ti. But when I run the script, it immediately throws out an error:
I0911 12:46:39.811416 18216 caffe.cpp:252] Running for 1449 iterations.
F0911 12:46:40.284883 18216 syncedmem.cpp:56] Check failed: error == cudaSuccess (2 vs. 0) out of memory
and since you are already at batch size = 1 ,I don't know how much real memory , or What should I do?

Could you please tell me what "TwoImageData" layer is used for, I can't find the code.
Thanks!

I have found that the code only contains the part for test and no code for training. Is the embedding network trained separately from deeplab network?

I am trying to train VGG16 with my own data. I have cropped the images to 224x224. When I train with VGG16 as provided by Caffe model zoo (https://gist.github.com/ksimonyan/211839e770f7b538e2d8) I can train with batch size 32. After replacing all convolution layers with im2col followed by a convolution layer with bottom_is_im2col I can train with maximum batch size 8 without "Out of memory" error.
First of all, I wonder if this is normal behavior given that typical convolution layers use im2col internally.
Secondly, is there a way to reduce memory needs?
Thanks in advance,

*** Check failure stack trace: ***
@ 0x7fa08bf23daa (unknown)
@ 0x7fa08bf23ce4 (unknown)
@ 0x7fa08bf236e6 (unknown)
@ 0x7fa08bf26687 (unknown)
@ 0x7fa08c5791e1 caffe::SyncedMemory::~SyncedMemory()
@ 0x7fa08c5c6fb2 boost::detail::sp_counted_impl_p<>::dispose()
@ 0x40a52e boost::detail::sp_counted_base::release()
@ 0x7fa08c5df1e5 caffe::Blob<>::~Blob()
@ 0x7fa08aa8753a (unknown)
@ 0x7fa08c50ac43 (unknown)
Aborted (core dumped)

I met this issue each time at the end of training or testing. Any idea?