[Enhancement] Remove some warning logs of compilation (#1649)

* first commit

* [Enhancement] Remove some warning logs of compilation

* delete a comment

mmcv/ops/csrc/pytorch/contour_expand.cpp

@@ -102,7 +102,6 @@ std::vector<std::vector<int>> contour_expand(Tensor kernel_mask,
   IntArrayRef data_shape = kernel_mask.sizes();
 
   auto data_label_map = internal_kernel_label.data_ptr<int32_t>();
-  IntArrayRef label_map_shape = internal_kernel_label.sizes();
   vector<vector<int>> text_line;
 
   kernel_dilate(ptr_data, data_shape, data_label_map, kernel_num,

mmcv/ops/csrc/pytorch/cpu/nms_rotated.cpp

@@ -59,7 +59,7 @@ Tensor nms_rotated_cpu_kernel(const Tensor dets, const Tensor scores,
 Tensor nms_rotated_cpu(const Tensor dets, const Tensor scores,
                        const float iou_threshold) {
   auto result = at::empty({0}, dets.options());
-  AT_DISPATCH_FLOATING_TYPES(dets.type(), "nms_rotated", [&] {
+  AT_DISPATCH_FLOATING_TYPES(dets.scalar_type(), "nms_rotated", [&] {
     result = nms_rotated_cpu_kernel<scalar_t>(dets, scores, iou_threshold);
   });
   return result;

mmcv/ops/csrc/pytorch/cpu/roi_align_rotated.cpp

@@ -395,7 +395,6 @@ void ROIAlignRotatedBackwardCPULauncher(Tensor grad_output, Tensor rois,
                                         int aligned_width, float spatial_scale,
                                         int sampling_ratio, bool aligned,
                                         bool clockwise) {
-  int output_size = grad_output.numel();
   int channels = grad_input.size(1);
   int height = grad_input.size(2);
   int width = grad_input.size(3);
@@ -431,8 +430,6 @@ void roi_align_rotated_backward_cpu(Tensor top_grad, Tensor rois,
                                     int aligned_width, float spatial_scale,
                                     int sampling_ratio, bool aligned,
                                     bool clockwise) {
-  // Number of ROIs
-  int num_rois = rois.size(0);
   int size_rois = rois.size(1);
   if (size_rois != 6) {
     AT_ERROR("wrong roi size");