Hello,
i am trying to deploy caffe on Firefly RK3288 following the steps from "release_notes" that you provide. I managed to install ARM ComputeLibrary successfully, but when I am trying to build caffe I am getting the following error:
CXX src/caffe/layers/acl_lrn_layer.cpp
src/caffe/layers/acl_lrn_layer.cpp: In member function 'virtual void caffe::ACLLRNLayer<Dtype>::SetupACLLayer(const std::vector<caffe::Blob<Dtype>*>&, const std::vector<caffe::Blob<Dtype>*>&)':
src/caffe/layers/acl_lrn_layer.cpp:31:45: error: 'IN_MAP' is not a member of 'arm_compute::NormType'
norm_info=new NormalizationLayerInfo(NormType::IN_MAP, this->size_, this->alpha_, this->beta_, this->k_);
^~~~~~~~
Makefile:632: recipe for target '.build_release/src/caffe/layers/acl_lrn_layer.o' failed
make: *** [.build_release/src/caffe/layers/acl_lrn_layer.o] Error 1
The example that you are providing concerns firefly 3399 board and not the firefly 3288 that i have, so is there any extra dependencies that I am missing?
P.S Inside the enumerator class NormType there is not a IN_MAP member.
enum class NormType
{
IN_MAP_1D, /**< Normalization applied within the same map in 1D region */
IN_MAP_2D, /**< Normalization applied within the same map in 2D region */
CROSS_MAP /**< Normalization applied cross maps */
};
Solved : Using Version ComputeLibrary : v17.05 solves the problem (I should read the manual carefully). I just saw that recently it has been a change in the recently ComputeLibrary newest version.
Thanks
Hello,
i am trying to deploy caffe on Firefly RK3288 following the steps from "release_notes" that you provide. I managed to install ARM ComputeLibrary successfully, but when I am trying to build caffe I am getting the following error:
The example that you are providing concerns firefly 3399 board and not the firefly 3288 that i have, so is there any extra dependencies that I am missing?
P.S Inside the enumerator class NormType there is not a IN_MAP member.
Solved : Using Version ComputeLibrary : v17.05 solves the problem (I should read the manual carefully). I just saw that recently it has been a change in the recently ComputeLibrary newest version.
Thanks