I’m trying to convert these two vectors to torch tensor but the output doesn’t have the right data:
auto input_options = torch::TensorOptions().dtype(torch::kInt32);
auto inputs = torch::from_blob(vec.data(), {1, 10, 194, 144}, input_options);
output:
..Columns 13 to 18 -8.0412e+08 9.1974e+08 4.9000e+01 0.0000e+00 1.6578e+09 2.1909e+04
1.6578e+09 2.1909e+04 1.6581e+09 2.1909e+04 1.6559e+09 2.1909e+04
1.8698e+09 1.9702e+09 7.5708e+08 1.7000e+09 1.9199e+09 0.0000e+00
1.9704e+09 1.8524e+09 1.7017e+09 5.3978e+08 1.9366e+09 5.4103e+08..
also
std::vector<std::vector <int>> indx1={{126, 22}, {166, 102}, {46, 46}, {166, 54} };
auto indx_options = torch::TensorOptions().dtype(torch::kInt32);
auto indx = torch::from_blob(indx1.data(), { indx1.size(),2}, indx_options);
output:
1.1586e+09 2.2036e+04
1.1586e+09 2.2036e+04
1.1586e+09 2.2036e+04
1.1586e+09 2.2036e+04
[ CPUIntType{4,2} ]