Format

src/targets/gpu/fuse_ck.cpp

@@ -25,7 +25,7 @@ struct ck_gemm
 
     void check_gemm_shape(const shape& s) const
     {
-        if(not contains(range(s.strides().rbegin(), s.strides().rbegin()+3), 1))
+        if(not contains(range(s.strides().rbegin(), s.strides().rbegin() + 3), 1))
             MIGRAPHX_THROW("Invalid shape for ck_gemm");
     }
 
@@ -80,7 +80,7 @@ struct find_ck_gemm
         auto gemm_it  = std::find(inputs.begin(), inputs.end(), x_ins);
         auto gemm_idx = gemm_it - inputs.begin();
         assert(gemm_it != inputs.end());
-        if (ins->get_shape().type() != shape::half_type)
+        if(ins->get_shape().type() != shape::half_type)
             return;
         if(gemm_idx != 0)
         {

src/targets/gpu/jit/ck_gemm.cpp

@@ -233,9 +233,10 @@ struct ck_gemm_compiler : compiler<ck_gemm_compiler>
         ip.set_gemm("ck::tensor_operation::device::GemmSpecialization::" + gemm_type);
 
         auto blocks_per_batch = ip.get_grid_size(config);
-        auto batch_count = std::accumulate(
-            c_shape.lens().rbegin() + 2, c_shape.lens().rend(), std::size_t{1}, std::multiplies<std::size_t>());
-
+        auto batch_count      = std::accumulate(c_shape.lens().rbegin() + 2,
+                                           c_shape.lens().rend(),
+                                           std::size_t{1},
+                                           std::multiplies<std::size_t>());
 
         hip_compile_options options;
         auto block_size = ip.get_block_size();