formatting

src/targets/gpu/device/softmax.cpp

@@ -22,7 +22,7 @@ void softmax(hipStream_t stream, const argument& result, const argument& arg, in
     hip_visit_all(result, arg, batch_shape)([&](auto output, auto input, auto batch) {
         const index_int max_block_size = 120;
         // const index_int max_block_size = 128;
-        const index_int block_size     = compute_block_size(batch_item_num, max_block_size);
+        const index_int block_size = compute_block_size(batch_item_num, max_block_size);
         using type = device_type<std::remove_cv_t<typename decltype(input)::value_type>>;
         type init  = lowest();
 

src/targets/gpu/gemm_impl.cpp

@@ -83,12 +83,12 @@ void gemm_impl(context& ctx,
     auto a_lens = args[0].get_shape().lens();
     auto b_lens = args[1].get_shape().lens();
     output_shape.visit_type([&](auto as) {
-        auto alpha_r   = as(alpha);
-        auto beta_r    = as(beta);
+        auto alpha_r = as(alpha);
+        auto beta_r  = as(beta);
         if(compute_fp32)
         {
-            alpha_r     = alpha;
-            beta_r      = beta;
+            alpha_r = alpha;
+            beta_r  = beta;
         }
         auto out_lens   = output_shape.lens();
         rocblas_int m   = out_lens[dim_0];

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

@@ -85,7 +85,13 @@ struct rocblas_gemm
         }
         else
         {
-            gemm(ctx, output_shape, args, int32_t(alpha), int32_t(beta), int8_x4_format, compute_fp32);
+            gemm(ctx,
+                 output_shape,
+                 args,
+                 int32_t(alpha),
+                 int32_t(beta),
+                 int8_x4_format,
+                 compute_fp32);
         }
         return args.back();
     }