Formatting

src/targets/gpu/fuse_ck.cpp

@@ -76,7 +76,7 @@ MIGRAPHX_REGISTER_OP(ck_gemm);
 struct ck_gemm_softmax_gemm
 {
     operation op = make_op("dot");
-    float scale = 1.0;
+    float scale  = 1.0;
 
     template <class Self, class F>
     static auto reflect(Self& self, F f)

src/targets/gpu/include/migraphx/gpu/ck.hpp

@@ -167,8 +167,8 @@ inline bool can_fold_batch(const std::vector<shape>& inputs)
 {
     const auto& b_shape = inputs[1];
     if(std::any_of(inputs.begin() + 2, inputs.end() - 1, [](auto input) {
-            return not standard_batch(input);
-        }))
+           return not standard_batch(input);
+       }))
         return false;
     const auto& b_strides = b_shape.strides();
     return std::all_of(

src/targets/gpu/jit/ck_gemm.cpp

@@ -82,7 +82,7 @@ struct ck_gemm_compiler : compiler<ck_gemm_compiler>
         const auto& a_shape = inputs[0];
         const auto& b_shape = inputs[1];
         const auto& c_shape = inputs.back();
-        
+
         auto rank        = a_shape.ndim();
         auto batch_count = get_batch_count(c_shape);
         auto m           = c_shape.lens()[rank - 2];

src/targets/gpu/jit/ck_gemm_softmax_gemm.cpp

@@ -89,7 +89,7 @@ struct ck_gemm_softmax_gemm_compiler : compiler<ck_gemm_softmax_gemm_compiler>
         const auto& b_shape  = inputs[1];
         const auto& b1_shape = inputs[2];
         const auto& c_shape  = inputs.back();
-        
+
         auto rank        = a_shape.ndim();
         auto batch_count = get_batch_count(c_shape);
         auto m           = c_shape.lens()[rank - 2];
@@ -173,7 +173,7 @@ struct ck_gemm_softmax_gemm_compiler : compiler<ck_gemm_softmax_gemm_compiler>
                                        {"blocks_per_batch", to_string(blocks_per_batch)},
                                        {"preamble", v.get("preamble", std::string{})},
                                        {"kernel", options.kernel_name}});
-        
+
         return compile_hip_code_object(src, options);
     }