From 600f4bf20c63e4c6aa70841e9bbfd1ae77d3ca39 Mon Sep 17 00:00:00 2001
From: Richard Barnes <rbarnes@fb.com>
Date: Tue, 22 Feb 2022 13:11:44 -0800
Subject: [PATCH] Clean up some unused variable warnings (#73151)

Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/73151

Test Plan: Sandcastle

Reviewed By: malfet

Differential Revision: D34365492

fbshipit-source-id: d9eaa2e21aacd8ff0b97152e590d83f682df4667
(cherry picked from commit ca0efc53db568b035049b09f5827387d2dc7e382)
---
 aten/src/ATen/native/cuda/SummaryOps.cu         |  6 +++---
 aten/src/ATen/native/cuda/UpSampleBilinear2d.cu | 10 ++--------
 caffe2/operators/elementwise_ops.cu             |  3 +++
 3 files changed, 8 insertions(+), 11 deletions(-)

diff --git a/aten/src/ATen/native/cuda/SummaryOps.cu b/aten/src/ATen/native/cuda/SummaryOps.cu
index 958ad88183e..4b47d0c9cd9 100644
--- a/aten/src/ATen/native/cuda/SummaryOps.cu
+++ b/aten/src/ATen/native/cuda/SummaryOps.cu
@@ -311,7 +311,7 @@ Tensor _bincount_cuda_template(
         weights.options().layout_opt(),
         weights.options().device_opt(),
         weights.options().pinned_memory_opt());
-    auto ret = cuda::CUDA_tensor_histogram<weights_t, input_t, true>(
+    cuda::CUDA_tensor_histogram<weights_t, input_t, true>(
         output, self, weights, nbins, minvalue, maxvalue);
   } else {
     output = native::zeros(
@@ -320,7 +320,7 @@ Tensor _bincount_cuda_template(
         c10::nullopt /* layout */,
         DeviceType::CUDA,
         c10::nullopt /* pin_memory */);
-    auto ret = cuda::CUDA_tensor_histogram<int64_t, input_t, false>(
+    cuda::CUDA_tensor_histogram<int64_t, input_t, false>(
         output, self, weights, nbins, minvalue, maxvalue);
   }
   return output;
@@ -374,7 +374,7 @@ Tensor _histc_cuda_template(
 #endif
   TORCH_CHECK(minvalue < maxvalue, "max must be larger than min");
 
-  auto ret = cuda::CUDA_tensor_histogram<input_t, input_t, false>(
+  cuda::CUDA_tensor_histogram<input_t, input_t, false>(
     output, self, Tensor(), nbins, minvalue, maxvalue);
   return output;
 }
diff --git a/aten/src/ATen/native/cuda/UpSampleBilinear2d.cu b/aten/src/ATen/native/cuda/UpSampleBilinear2d.cu
index d5153838139..09ec9528ead 100644
--- a/aten/src/ATen/native/cuda/UpSampleBilinear2d.cu
+++ b/aten/src/ATen/native/cuda/UpSampleBilinear2d.cu
@@ -456,7 +456,6 @@ C10_LAUNCH_BOUNDS_1(256) // 256 performs better then 1024
 __global__ void upsample_gen2d_aa_out_frame(
     const accscalar_t height_scale,
     const accscalar_t width_scale,
-    const bool align_corners,
     const PackedTensorAccessor64<scalar_t, 4> idata,
     PackedTensorAccessor64<scalar_t, 4> odata,
     const InterpFilter & interp_filter) {
@@ -550,7 +549,6 @@ C10_LAUNCH_BOUNDS_1(256) // 256 performs better then 1024
 __global__ void upsample_gen2d_aa_backward_out_frame(
     const accscalar_t height_scale,
     const accscalar_t width_scale,
-    const bool align_corners,
     PackedTensorAccessor64<scalar_t, 4> idata,
     const PackedTensorAccessor64<scalar_t, 4> odata,
     const InterpFilter & interp_filter) {
@@ -672,8 +670,6 @@ static void upsample_gen2d_aa_out_cuda_template(
   int output_height = output_size[0];
   int output_width = output_size[1];
 
-  int nbatch = input.size(0);
-  int channels = input.size(1);
   int input_height = input.size(2);
   int input_width = input.size(3);
 
@@ -735,7 +731,7 @@ static void upsample_gen2d_aa_out_cuda_template(
             <<<grid,
                block,
                shmem_size,
-               stream>>>(height_scale, width_scale, align_corners, idata, odata, interp_filter);
+               stream>>>(height_scale, width_scale, idata, odata, interp_filter);
         C10_CUDA_KERNEL_LAUNCH_CHECK();
       });
 
@@ -766,8 +762,6 @@ static void upsample_gen2d_aa_backward_out_cuda_template(
   int output_height = output_size[0];
   int output_width = output_size[1];
 
-  int nbatch = input_size[0];
-  int channels = input_size[1];
   int input_height = input_size[2];
   int input_width = input_size[3];
 
@@ -819,7 +813,7 @@ static void upsample_gen2d_aa_backward_out_cuda_template(
             <<<grid,
                block,
                shmem_size,
-               stream>>>(height_scale, width_scale, align_corners, idata, odata, interp_filter);
+               stream>>>(height_scale, width_scale, idata, odata, interp_filter);
         C10_CUDA_KERNEL_LAUNCH_CHECK();
       });
 }
diff --git a/caffe2/operators/elementwise_ops.cu b/caffe2/operators/elementwise_ops.cu
index 932bd5dafda..fcbe26f927a 100644
--- a/caffe2/operators/elementwise_ops.cu
+++ b/caffe2/operators/elementwise_ops.cu
@@ -119,6 +119,9 @@ void device_reduce<at::Half>(
     int N,
     Tensor* buffer,
     CUDAContext* context) {
+  (void)N; // Suppress unused variable warning
+  (void)buffer; // Suppress unused variable warning
+  (void)context; // Suppress unused variable warning
 #if TORCH_HIP_VERSION >= 210
   auto buffer_size = 1;