SunGaofeng
commented
5 years ago So the problem now is that: (1) submodule can't be cloned when building with the caffe2 code forked by Xiaolong (2) mismatch of the caffe2_customized_ops/video code with the newest code of caffe2 in pytorch. Can you supply a complete version of code, including caffe2 as well as thirdparty ? Or a new version of caffe2_customized_ops/video which has no conflict with the newest version of caffe2? I've tried several days to rebuilt this excellent model and are really eager to get your help. Thanks.
Thanks for providing us this wonderful repository. There is some problem when I want to run this code. (1) When I git clone the code of caffe2 forked by Xiaolong, there is some problem when download submodule codes such as eigen, and lead to a failure of cloning. (2) Then I try to down load the code of caffe2. Now caffe2 code is merged into pytorch. So I just git clone the pytorch code and build it. As others discussed in the issues, I copy and replace ./caffe2/video to the new code, modify USE_FFMPEG=ON in CMakelist, and fix the bug of inconsistence of protobuf version. However, building also failed and the error showed that Tensor is not a template. just as the following. I checked the source file of caffe2 forked by Xiaolong, Tensor is actually a Template defined in caffe2/core/tensor.h
class Tensor {...}
But in the newest version of pytorch, Tensor in caffe2 is defined in caffe2/core/tensor.h as
template
class CAFFE2_API Tensor final {...}. This mismatch will certainly lead to the problem.
============== Error information when build with the newest code of pytorch=========== In file included from /docker_mount/frameworks/pytorch/pytorch/caffe2/video/customized_video_input_op.cc:25:0: /docker_mount/frameworks/pytorch/pytorch/caffe2/video/customized_video_input_op.h:91:3: error: ‘caffe2::Tensor’ is not a template Tensor prefetched_clip_ondevice;
^
/docker_mount/frameworks/pytorch/pytorch/caffe2/video/customized_video_input_op.h:92:3: error: ‘caffe2::Tensor’ is not a template
Tensor prefetched_label_ondevice;