Fix unused lambda capture warnings (#18662)

Summary:
```
aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.DEFAULT.cpp:109:104: warning: lambda capture 'combs' is not used [-Wunused-lambda-capture]
    parallel_for(0, combs, internal::GRAIN_SIZE / (16 * m), [p, self_start, self_end, n, m, res_start, combs](int64_t k, int64_t end) {
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18662

Differential Revision: D14699379

Pulled By: bddppq

fbshipit-source-id: 5062d4327bb5f7b485c2ffa30c98e10576416f03

diff --git a/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp b/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp
index 688866f..114fa3c 100644 (file)
--- a/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp
+++ b/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp
@@ -106,7 +106,7 @@ struct Dist {
     // vector from the input, j is the second, and k is the result index. This
     // parallelizes over the range of k and infers what i and j are from the
     // value of k.
-    parallel_for(0, combs, internal::GRAIN_SIZE / (16 * m), [p, self_start, self_end, n, m, res_start, combs](int64_t k, int64_t end) {
+    parallel_for(0, combs, internal::GRAIN_SIZE / (16 * m), [p, self_start, self_end, n, m, res_start](int64_t k, int64_t end) {
       const Vec pvec(p);
       double n2 = n - .5;
       // The -1 accounts for floating point truncation issues