Question
How do I convert a std::vector<double> into a std::vector <torch::jit::IValue> which can be input to a TorchScript model?
Background
I trained a model in Python and followed this guide to use the model in C++: https://pytorch.org/tutorials/advanced/cpp_export.html#step-4-executing-the-script-module-in-c 3
Please note that I have almost no experience with C++
Working code with dummy Tensor
Everything works fine when I make a dummy Tensor directly in C++:
#include <torch/script.h> // One-stop header.

#include <iostream>
#include <memory>

using namespace std::chrono;

int main(int argc, const char* argv[]) {
    std::cout << "ok\n";
    if (argc != 2) {
        std::cerr << "usage: example-app <path-to-exported-script-module>\n";
        return -1;
    }


    torch::jit::script::Module module;
    try {
        // Deserialize the ScriptModule from a file using torch::jit::load().
        module = torch::jit::load(argv[1]);
    }
    catch (const c10::Error& e) {
        std::cerr << "error loading the model\n";
        return -1;
    }

    std::cout << "ok\n";

    // Create a vector of inputs.
    int sample_rate = 16000;
    int input = sample_rate * 100;
    std::vector<torch::jit::IValue> inputs;
    inputs.push_back(torch::ones({1, input}));

    // Execute the model and turn its output into a tensor.
    at::Tensor output = module.forward(inputs).toTensor().sigmoid();
    std::cout << output.slice(/*dim=*/1, /*start=*/0, /*end=*/5) << '\n';

Attempting the same with vector double
In our real application the audio data is of the format std::vector<double>, however. This cannot be changed.
From my Googling, what I would likely need is the function torch::from_blob(), so I tried to replace:
// Create a vector of inputs.
int sample_rate = 16000;
int input = sample_rate * 100;
std::vector<torch::jit::IValue> inputs;
inputs.push_back(torch::ones({1, input}));

with:
std::vector <torch::jit::IValue> inputs;
// dummy double
std::vector<double> wavData = std::vector<double>(5);
auto options = torch::TensorOptions().dtype(torch::kFloat32);
inputs.push_back(torch::from_blob(wavData, {1, input}, options));

Problem
The code I found only used these 3 arguments. But this throws the error:
path/example-app.cpp: In function ‘int main(int, const char**)’:
path/example-app.cpp:47:71: error: no matching function for call to ‘from_blob(std::vector<double, std::allocator<double> >&, <brace-enclosed initializer list>, c10::TensorOptions&)’ inputs.push_back(torch::from_blob(wavData, {1, input}, options));

It seems I also need to supply a const Deleter& deleter, but I have no clue what how I’m supposed to create that.
Unfortunately the docs page of from_blob() 1 is broken and therefore also not of much help.
Any insights are appreciated!