How to repeat tensor in libtorch - libtorch

Question

I am using libtorch to inference, I have read data from txt file to vector and convert to tensor, I want to repeat a tensor three times then change it to 3D,
I tried this
std::vector<std::vector<float>> feature_data(255, std::vector<float>(221));
ifstream f_data("../data.txt"); //
if (! f_data) {
cout << "Error, file couldn't be opened" << endl;
return 1;
}
for(int i=0;i<255;i++)
{
for(int j=0;j<221;j++)
{
if ( !f_data )
{
std::cout << "read error" << std::endl;
break;
}
f_data >> feature_data[i][j];
}
}
auto data_options = torch::TensorOptions().dtype(at::kFloat);
auto feature_tensor = torch::zeros({255,221}, data_options);
for (int i = 0; i < 255; i++)
feature_tensor.slice(0, i,i+1) = torch::from_blob(feature_data[i].data(), {221},
data_options);
// begin to repeat three times
auto tensor_clone = feature_tensor.clone();
auto one_time_clone = torch::cat({feature_tensor, tensor_clone}, 0);
auto two_times_clone = torch::cat({one_time_clone, tensor_clone}, 0);
auto transformed_asr = two_times_clone.view({3, 255, 221});
it looks troublesome and I am not sure if it is right, is there an easy way?

Answer 1

...
for (int i = 0; i < 255; i++)
feature_tensor.slice(0, i,i+1) = torch::from_blob(feature_data[i].data(), {221},
data_options);
auto tensor_clone = feature_tensor.repeat({3, 1});
...