Function main

examples/float16/run.cpp:30–67

)";

int main(int argc, char **argv) {
  printf("\033[2J\033[1;1H");
  printf("\nHello float16!\n");
  printf("--------------\n\n");

  Context ctx = createContext(
      {}, {},
      /*device descriptor, enabling f16 in WGSL*/
      {
          .requiredFeatureCount = 1,
          .requiredFeatures = std::array{WGPUFeatureName_ShaderF16}.data(),
      });
  static constexpr size_t N = 10000;
  std::array<half, N> inputArr, outputArr;
  for (int i = 0; i < N; ++i) {
    inputArr[i] = half(static_cast<float>(i) / 10.0f); // dummy input data
  }
  Tensor input = createTensor(ctx, Shape{N}, kf16, inputArr.data());
  Tensor output = createTensor(ctx, Shape{N}, kf16);
  std::promise<void> promise;
  std::future<void> future = promise.get_future();
  Kernel op = createKernel(ctx, {kGelu, 256, kf16}, Bindings{input, output},
                           {cdiv(N, 256), 1, 1});
  dispatchKernel(ctx, op, promise);
  wait(ctx, future);
  toCPU(ctx, output, outputArr.data(), sizeof(outputArr));

  for (int i = 0; i < 12; ++i) {
    // Cast to float32 for printing to the screen
    printf("  gelu(%.2f) = %.2f\n", static_cast<float>(inputArr[i]),
           static_cast<float>(outputArr[i]));
  }

  printf("  ...\n\n");
  printf("Computed %zu float16 values of GELU(x: float16)\n\n", N);
  return 0;

}