[Codemod][CppQualityCommon] Fix CQS signal performance-unnecessary-value-param in fbcode/pytorch/vision/torchvision/csrc/ops/autograd [A]

Reviewed By: dtolnay

Differential Revision: D75048922

fbshipit-source-id: 497744839b64dbb37b9c5fcb6a6df326154b3c1d

Author: generatedunixname89002005287564

torchvision/csrc/ops/autograd/deform_conv2d_kernel.cpp

@@ -3,6 +3,8 @@
 #include <torch/autograd.h>
 #include <torch/types.h>
 
+#include <utility>
+
 namespace vision {
 namespace ops {
 
@@ -18,14 +20,14 @@ class DeformConv2dFunction
       const torch::autograd::Variable& offset,
       const torch::autograd::Variable& mask,
       const torch::autograd::Variable& bias,
-      c10::SymInt stride_h,
-      c10::SymInt stride_w,
-      c10::SymInt pad_h,
-      c10::SymInt pad_w,
-      c10::SymInt dilation_h,
-      c10::SymInt dilation_w,
-      c10::SymInt groups,
-      c10::SymInt offset_groups,
+      const c10::SymInt& stride_h,
+      const c10::SymInt& stride_w,
+      const c10::SymInt& pad_h,
+      const c10::SymInt& pad_w,
+      const c10::SymInt& dilation_h,
+      const c10::SymInt& dilation_w,
+      const c10::SymInt& groups,
+      const c10::SymInt& offset_groups,
       bool use_mask) {
     at::AutoDispatchBelowADInplaceOrView g;
     auto output = deform_conv2d_symint(
@@ -150,14 +152,14 @@ class DeformConv2dBackwardFunction
         offset,
         mask,
         bias,
-        stride_h,
-        stride_w,
-        pad_h,
-        pad_w,
-        dilation_h,
-        dilation_w,
-        groups,
-        offset_groups,
+        std::move(stride_h),
+        std::move(stride_w),
+        std::move(pad_h),
+        std::move(pad_w),
+        std::move(dilation_h),
+        std::move(dilation_w),
+        std::move(groups),
+        std::move(offset_groups),
         use_mask);
 
     auto grad_input = std::get<0>(result);

torchvision/csrc/ops/autograd/ps_roi_align_kernel.cpp

@@ -3,6 +3,8 @@
 #include <torch/autograd.h>
 #include <torch/types.h>
 
+#include <utility>
+
 namespace vision {
 namespace ops {
 
@@ -16,8 +18,8 @@ class PSROIAlignFunction
       const torch::autograd::Variable& input,
       const torch::autograd::Variable& rois,
       double spatial_scale,
-      c10::SymInt pooled_height,
-      c10::SymInt pooled_width,
+      const c10::SymInt& pooled_height,
+      const c10::SymInt& pooled_width,
       int64_t sampling_ratio) {
     ctx->saved_data["spatial_scale"] = spatial_scale;
     ctx->saved_data["pooled_height"] = pooled_height;
@@ -95,13 +97,13 @@ class PSROIAlignBackwardFunction
         rois,
         channel_mapping,
         spatial_scale,
-        pooled_height,
-        pooled_width,
+        std::move(pooled_height),
+        std::move(pooled_width),
         sampling_ratio,
-        batch_size,
-        channels,
-        height,
-        width);
+        std::move(batch_size),
+        std::move(channels),
+        std::move(height),
+        std::move(width));
 
     return {grad_in};
   }