Formatting

src/targets/gpu/kernels/include/migraphx/kernels/ck_elementwise.hpp

@@ -44,16 +44,18 @@ using ElementwiseFunctor = float;
 static constexpr auto I0 = ck::Number<0>{};
 using index_t            = index_int;
 
-template<class L, class S>
+template <class L, class S>
 __host__ __device__ constexpr auto MakeDescriptor_M(const L& lengths, const S& strides)
 {
     auto idx          = make_index();
-    auto tupleOfShape  = generate_tuple([&](auto I) { return static_cast<ck::index_t>(lengths[I]); }, ck::Number<1>{});
-    auto tupleOfStride = generate_tuple([&](auto I) { return static_cast<ck::index_t>(strides[I]); }, ck::Number<1>{});
+    auto tupleOfShape = generate_tuple([&](auto I) { return static_cast<ck::index_t>(lengths[I]); },
+                                       ck::Number<1>{});
+    auto tupleOfStride = generate_tuple(
+        [&](auto I) { return static_cast<ck::index_t>(strides[I]); }, ck::Number<1>{});
     const auto desc_m = make_naive_tensor_descriptor(tupleOfShape, tupleOfStride);
 
     const auto M = desc_m.GetLength(I0);
-    const index_t loop_step = idx.nglobal();//gridSize * blockSize * MPerThread;
+    const index_t loop_step = idx.nglobal(); // gridSize * blockSize * MPerThread;
     const auto pad = ck::math::integer_least_multiple(M, loop_step) - M;
     const auto desc_m_pad =
         transform_tensor_descriptor(desc_m,
@@ -83,17 +85,16 @@ struct Add
     };
 };
 
-
 template <class T, class U, class V>
 __device__ void ck_elementwise(const T& a_t, const U& b_t, const V& c_t)
 {
-    //auto add = [](auto a, auto b) { return a + b; };
+    // auto add = [](auto a, auto b) { return a + b; };
     auto lengths = a_t.get_shape().lens;
     auto strides = a_t.get_shape().strides;
     auto a_desc  = MakeDescriptor_M(lengths, strides);
 
     using AGridDesc_M = decltype(a_desc);
-    //using Add = ck::tensor_operation::element_wise::Add;
+    // using Add = ck::tensor_operation::element_wise::Add;
     using GridwiseBinEltwise = ck::GridwiseBinaryElementwise_1D<ADataType,
                                                                 BDataType,
                                                                 CDataType,
@@ -118,8 +119,8 @@ __device__ void ck_elementwise(const T& a_t, const U& b_t, const V& c_t)
     //                                     Add>;
     // kernel(a_t.data(), b_t.data(), c_t.data(), a_desc, a_desc, a_desc, Add);
 
-
-    // Argument arg{a_t.data(), b_t.data(), c_t.data(), c_t.get_shape().lens, a_t.get_shape().strides, b_t.get_shape().strides, c_t.get_shape().strides, 
+    // Argument arg{a_t.data(), b_t.data(), c_t.data(), c_t.get_shape().lens,
+    // a_t.get_shape().strides, b_t.get_shape().strides, c_t.get_shape().strides,
     //     add};
     // auto lengths = a_t.get_shape().lens;
     // auto strides = a_t.get_shape().strides;