commit 5808122017ba45edbbad5b85fb17726e307b5a75
author Antonio Sánchez <cantonios@google.com> Tue Jan 23 16:56:27 2024 +0000
committer Antonio Sánchez <cantonios@google.com> Tue Jan 23 16:56:27 2024 +0000
tree 10b69fac733a11781da9ddbdc2a0291e6c61ed3c
parent 92f9544f6dad5e8286cc7c9c3cbe910c44a11138

Formatting.

unsupported/test/cxx11_tensor_executor.cpp

diff --git a/unsupported/test/cxx11_tensor_executor.cpp b/unsupported/test/cxx11_tensor_executor.cpp
index 55d0319..228fa9e 100644
--- a/unsupported/test/cxx11_tensor_executor.cpp
+++ b/unsupported/test/cxx11_tensor_executor.cpp
@@ -136,8 +136,8 @@
 template <typename T, int NumDims, typename Device, bool Vectorizable, TiledEvaluation Tiling, int Layout>
 struct test_execute_chipping_rvalue_runner {
   template <int ChipDim>
-  static std::enable_if_t<0 <= ChipDim, void>
-  run_dim(Device& d, const array<Index, NumDims>& dims, const Tensor<T, NumDims, Layout, Index>& src) {
+  static std::enable_if_t<0 <= ChipDim, void> run_dim(Device& d, const array<Index, NumDims>& dims,
+                                                      const Tensor<T, NumDims, Layout, Index>& src) {
     const auto offset = internal::random<Index>(0, dims[(ChipDim)] - 1);
     const auto expr = src.template chip<ChipDim>(offset);
 
@@ -160,8 +160,8 @@
   }
 
   template <int ChipDim>
-  static std::enable_if_t<ChipDim < 0, void>
-  run_dim(Device&, const array<Index, NumDims>&, const Tensor<T, NumDims, Layout, Index>&) {}
+      static std::enable_if_t <
+      ChipDim<0, void> run_dim(Device&, const array<Index, NumDims>&, const Tensor<T, NumDims, Layout, Index>&) {}
 
   static void run(Device d) {
     auto dims = RandomDims<NumDims>(1, 10);
@@ -179,8 +179,7 @@
 template <typename T, int NumDims, typename Device, bool Vectorizable, TiledEvaluation Tiling, int Layout>
 struct test_execute_chipping_lvalue_runner {
   template <int ChipDim>
-  static std::enable_if_t<0 <= ChipDim>
-  run_dim(Device& d, const array<Index, NumDims>& dims) {
+  static std::enable_if_t<0 <= ChipDim> run_dim(Device& d, const array<Index, NumDims>& dims) {
     /* Generate random data that we'll assign to the chipped tensor dim. */
     array<Index, NumDims - 1> src_dims;
     for (int i = 0; i < NumDims - 1; ++i) {
@@ -217,7 +216,7 @@
   }
 
   template <int ChipDim>
-  static std::enable_if_t<ChipDim < 0, void> run_dim(Device&, const array<Index, NumDims>&) {}
+      static std::enable_if_t < ChipDim<0, void> run_dim(Device&, const array<Index, NumDims>&) {}
 
   static void run(Device d) {
     auto dims = RandomDims<NumDims>(1, 10);