[Feature] Repalce the implementation of roi_align_rotated with mlu-ops

mmcv/ops/csrc/pytorch/mlu/roi_align_rotated_mlu.cpp

@@ -24,7 +24,7 @@ void ROIAlignRotatedForwardMLUKernelLauncher(Tensor input, Tensor rois,
       torch_mlu::cnnl::ops::cnnl_contiguous(rois, rois.suggest_memory_format());
   auto output_contiguous =
       torch_mlu::cnnl::ops::cnnl_contiguous(output, memory_format);
-  
+
   MluOpTensorDescriptor input_desc, rois_desc, output_desc;
   input_desc.set_with_layout(input_, MLUOP_LAYOUT_NHWC);
   rois_desc.set(rois_contiguous);
@@ -42,8 +42,8 @@ void ROIAlignRotatedForwardMLUKernelLauncher(Tensor input, Tensor rois,
   auto handle = mluOpGetCurrentHandle();
   mluOpRoiAlignRotatedForward(
       handle, input_desc.desc(), input_ptr, rois_desc.desc(), rois_ptr,
-      pooled_height, pooled_width, sampling_ratio, spatial_scale,
-      aligned, clockwise, output_desc.desc(), output_ptr);
+      pooled_height, pooled_width, sampling_ratio, spatial_scale, aligned,
+      clockwise, output_desc.desc(), output_ptr);
 
   output.copy_(output_contiguous);
 }
@@ -77,9 +77,9 @@ void ROIAlignRotatedBackwardMLUKernelLauncher(
   // get compute handle
   auto handle = mluOpGetCurrentHandle();
   mluOpRoiAlignRotatedBackward(
-      handle, top_grad_desc.desc(), top_grad_ptr, rois_desc.desc(),
-      rois_ptr, pooled_height, pooled_width, sampling_ratio, spatial_scale,
-      aligned, clockwise, bottom_grad_desc.desc(), bottom_grad_ptr);
+      handle, top_grad_desc.desc(), top_grad_ptr, rois_desc.desc(), rois_ptr,
+      pooled_height, pooled_width, sampling_ratio, spatial_scale, aligned,
+      clockwise, bottom_grad_desc.desc(), bottom_grad_ptr);
   bottom_grad.copy_(bottom_grad_);
 }