void flip_dims(cuv::tensor<float,cuv::dev_memory_space>& dst, const cuv::tensor<float,cuv::dev_memory_space>& src, const cuv::extent_gen<D>& pattern) {
assert(D == dst.ndim());
bool p[D];
for (int i = 0; i < D; ++i)
{
p[i] = pattern.ranges_[i].finish();
}
flip_dims2(dst,src, p);
}
void save(Archive& ar, const cuv::tensor<V,MS, ML>& t, const unsigned int version){
ar << t.info().host_shape
<< t.info().host_stride;
ar << t.mem();
if(t.ndim()>0 && t.mem()){
long int i = (long int)t.ptr() - (long int)t.mem()->ptr();
ar << i;
}
}
void dstack_mat2tens(cuv::tensor<float, cuv::host_memory_space>& tens,
const std::vector<cv::Mat>& src, bool reverse){
assert(src.size() >= 1);
int d = src.size();
int h = src.front().rows;
int w = src.front().cols;
tens.resize(cuv::extents[d][h][w]);
for (int i = 0; i < d; ++i)
{
int other = reverse ? d-1-i : i;
if(src[0].type() == CV_8UC1){
typedef unsigned char src_dtype;
cuv::tensor<src_dtype, cuv::host_memory_space> wrapped(cuv::extents[h][w], (src_dtype*) src[other].data);
cuv::tensor<float, cuv::host_memory_space> view = cuv::tensor_view<float, cuv::host_memory_space>(tens, cuv::indices[i][cuv::index_range()][cuv::index_range()]);
cuv::convert(view, wrapped); // copies memory
}else if(src[0].type() == CV_32FC1){
typedef float src_dtype;
cuv::tensor<src_dtype, cuv::host_memory_space> wrapped(cuv::extents[h][w], (src_dtype*) src[other].data);
cuv::tensor_view<float, cuv::host_memory_space> view(tens, cuv::indices[i][cuv::index_range()][cuv::index_range()]);
view = wrapped; // copies memory
}
}
}
