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#include <iostream>

// Run tests on GPUs 

int testRun(int arch, std::vector<bool (*)()> & test_funcs, const std::string & test_name) {

  bool supported = false;

  int arch_major = arch / 10;
  int arch_minor = arch - arch / 10 * 10;  

  if(arch_major >= 8) {
    // Ampere Tensor Core operations exposed with mma.sync are first available in CUDA 11.0.
    //
    // CUTLASS must be compiled with CUDA 11 Toolkit to run Conv2dFprop examples.
    if (__CUDACC_VER_MAJOR__ > 11 || (__CUDACC_VER_MAJOR__ == 11 && __CUDACC_VER_MINOR__ >= 0)) {
      supported = true;
    }
  }
  else if(arch_major >= 7) {
    // Turing Tensor Core operations exposed with mma.sync are first available in CUDA 10.2.
    //
    // CUTLASS must be compiled with CUDA 10.2 Toolkit to run these examples.
    if (__CUDACC_VER_MAJOR__ > 10 || (__CUDACC_VER_MAJOR__ == 10 && __CUDACC_VER_MINOR__ >= 2)) {
      supported = true;
    }
  }

  cudaDeviceProp props;

  cudaError_t error = cudaGetDeviceProperties(&props, 0);
  if (error != cudaSuccess) {
    std::cerr << "cudaGetDeviceProperties() returned an error: " << cudaGetErrorString(error) << std::endl;
    return -1;
  }

  if (!(props.major == arch_major && props.minor == arch_minor)) {
    supported = false;
  }

  if (!supported) {
    // Returning zero so this test passes on older Toolkits. Its actions are no-op.
    std::cout << "This example isn't supported on current architecture" << std::endl;
    return 0;
  }

  bool pass = true;
 
  std::cout << "Device: " << props.name << std::endl;
  std::cout << "Arch: SM" << arch << std::endl;
  std::cout << "Test: " << test_name << std::endl;
  for(auto func : test_funcs) {
    pass &= func();
  }


  if(pass)
    return 0;
  else
    return -1;

}