Why Gemfury? Push, build, and install  RubyGems npm packages Python packages Maven artifacts PHP packages Go Modules Debian packages RPM packages NuGet packages

Repository URL to install this package:

Details    
mmcv / ops / csrc / pytorch / npu / voxelization_npu.cpp
Size: Mime:
#include "pytorch_npu_helper.hpp"

using namespace NPU_NAME_SPACE;
using namespace std;

int hard_voxelize_forward_impl(const at::Tensor &points, at::Tensor &voxels,
                               at::Tensor &coors,
                               at::Tensor &num_points_per_voxel,
                               const std::vector<float> voxel_size,
                               const std::vector<float> coors_range,
                               const int max_points, const int max_voxels,
                               const int NDim = 3);

int hard_voxelize_forward_npu(const at::Tensor &points, at::Tensor &voxels,
                              at::Tensor &coors,
                              at::Tensor &num_points_per_voxel,
                              const std::vector<float> voxel_size,
                              const std::vector<float> coors_range,
                              const int max_points, const int max_voxels,
                              const int NDim = 3) {
  at::Tensor voxel_num_tmp = at::empty({1}, points.options());
  at::Tensor voxel_num = voxel_num_tmp.to(at::kInt);

  at::Tensor voxel_size_cpu = at::from_blob(
      const_cast<float *>(voxel_size.data()), {3}, dtype(at::kFloat));
  at::Tensor voxel_size_npu = voxel_size_cpu.to(points.device());

  at::Tensor coors_range_cpu = at::from_blob(
      const_cast<float *>(coors_range.data()), {6}, dtype(at::kFloat));
  at::Tensor coors_range_npu = coors_range_cpu.to(points.device());

  int64_t max_points_ = (int64_t)max_points;
  int64_t max_voxels_ = (int64_t)max_voxels;

  // only support true now
  bool deterministic = true;

  OpCommand cmd;
  cmd.Name("Voxelization")
      .Input(points)
      .Input(voxel_size_npu)
      .Input(coors_range_npu)
      .Output(voxels)
      .Output(coors)
      .Output(num_points_per_voxel)
      .Output(voxel_num)
      .Attr("max_points", max_points_)
      .Attr("max_voxels", max_voxels_)
      .Attr("deterministic", deterministic)
      .Run();
  auto voxel_num_cpu = voxel_num.to(at::kCPU);
  int voxel_num_int = voxel_num_cpu.data_ptr<int>()[0];
  return voxel_num_int;
}

REGISTER_NPU_IMPL(hard_voxelize_forward_impl, hard_voxelize_forward_npu);