How to put my data into the model?

[xinsuinizhuan]

I read my txt'file data to the vector, then when i put my vectror data to the model, compile, it error:

how should i do?

I add the under function to Tensor_Utility.h, and it compile normal, is it ok? void data_format_convers(std::vector & maxmindata) { std::vector file_data;

    for (int i = 0; i < maxmindata.size(); i++)
    {
        value_type val = (value_type)maxmindata[i];
        file_data.push_back(val);
    }
    int copy_size = (unsigned)as_derived().size() > file_data.size() ? file_data.size() : as_derived().size();
    utility_l::HostToDevice(as_derived().internal().memptr(), file_data.data(), copy_size);
}

[josephjaspers]

Seems good for now. The only issue I can think of is that it won't work for non-continuous tensors. Feel free to make a pull-request on any features you want to add.

[josephjaspers]

Looks good to me! It seems that it won't work for non-continuous tensors (thought I will an nd-iterator to handle this later).

[josephjaspers]

It seems you are trying to assign a slice of a matrix to a std::vector. You can assign element-by-element though.

    BC::Cube<float> data_cube(4,2,1);
    std::vector<std::vector<float>> data = { {1,2,3,4}, {1,2,3,4}};

    for (std::size_t i = 0; i < data.size(); ++i) {
        for (std::size_t j = 0; j < data[i].size(); ++j) {
            data_cube[0][i][j] = data[i][j];
        }
    }

[xinsuinizhuan]

In addition, when i get the forward_propagation data, how could i put them into my vector?

mat hyps = network->m_pnetwork.forward_propagation(inputs[0]);

I want get the data from hyps to my vector and array? How should i do? Is it ok? std::vector& _outputvec; mat hyps = network->m_pnetwork.forward_propagation(inputs[0]); for (int j=0; j< hyps.tensor_dimension;j++) { _outputvec.push_back((BC::Scalar(hyps).data())[j]); }

[josephjaspers]

You can use BC's algorithms to copy data (include/algorithms/Algorithms.h)

outputvec = std::vector(hyps.size()); 
BC::copy(hyps.get_stream(), outputvec.begin(), outputvec.end(), hyps.cw_begin()); 

Its nearly identical to std::copy if you are only using host_tensors though it is data-safe if you ever want to switch to GPU mode (cuda).

The differences between cw.begin() and begin() is that cw_begin returns the coefficientwise iterator (element by element) while begin returns the 'multi-dimensional' iterator.

Here's the (rather brief) documentation on this https://github.com/josephjaspers/blackcat_tensors/blob/master/docs/algorithms.md

[xinsuinizhuan]

Yes， when i use : std::vector predict_vec(hyps.size()); BC::copy(hyps.get_stream(), predict_vec.begin(), predict_vec.end(), hyps.cw_begin()); that is ok! Thank you!