NeuralNetwork/src/tensor/main.cpp

#ifdef USE_OPENCL
#include "opencl/tensor.hpp"
OpenCL openCL;
// TODO: Scalar mult
#elif USE_CPU
#include "cpu/tensor.hpp"
#endif

#include <chrono>
#include <functional>
#include <iostream>

// TODO: TMult >2

class Profiler {
public:
  static void measure(const std::string &operation, std::function<void()> op) {
    auto start = std::chrono::high_resolution_clock::now();
    op();
    auto end = std::chrono::high_resolution_clock::now();
    auto duration =
        std::chrono::duration_cast<std::chrono::microseconds>(end - start);
    std::cout << operation << ": " << duration.count() / 1000000.0f << "s\n";
  }
};

int main() {
#ifdef USE_OPENCL
  openCL.init();
#endif

  Tensor<float, 2> a = Tensor<float, 2>({2, 3}, 0, 1);
  std::cout << a.toString() << std::endl;
  Tensor<float, 2> b = Tensor<float, 2>({2, 3}, 0, 1);
  std::cout << b.toString() << std::endl;
  Profiler::measure("Time", [&]() {
    auto result = a * b;
    std::cout << result.toString() << std::endl;
  });

  return 0;
}