Method DispatchImplicit

tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc:54–72

}

Status CLCommandQueue::DispatchImplicit(const CLKernel& kernel, int3 grid,
                                        int3 work_group_size, CLEvent* event) {
  std::vector<size_t> local(3);
  std::vector<size_t> global(3);
  for (int i = 0; i < 3; ++i) {
    local[i] = work_group_size[i];
    global[i] = AlignByN(grid[i], work_group_size[i]);
  }
  cl_event resulting_event;
  const int error_code =
      clEnqueueNDRangeKernel(queue_, kernel.kernel(), 3, nullptr, global.data(),
                             local.data(), 0, nullptr, &resulting_event);
  *event = CLEvent(resulting_event);
  if (error_code != CL_SUCCESS) {
    return UnknownError(absl::StrCat("Failed to clEnqueueNDRangeKernel - ",
                                     CLErrorCodeToString(error_code)));
  }
  return OkStatus();
}

Status CLCommandQueue::DispatchImplicit(const CLKernel& kernel, int3 grid,
                                        int3 work_group_size) {