format

host/driver_offline/include/device_convolution_backward_weight_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw.hpp

@@ -77,8 +77,8 @@ void device_convolution_backward_weight_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nk
     constexpr index_t GemmCThreadTransferDstScalarPerVector = 1;
 #endif
 
-    const auto descs =
-        transform_backward_weight_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw_pad(wei_k_c_y_x_desc,
+    const auto descs = transform_backward_weight_convolution_into_gemm_v4r4r2_nchw_kcyx_nkhw_pad(
+        wei_k_c_y_x_desc,
         in_n_c_hi_wi_desc,
         out_n_k_ho_wo_desc,
         conv_strides,
@@ -93,13 +93,9 @@ void device_convolution_backward_weight_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nk
 
     // HACK: hacks that control index calculation when iterating over A, B, C matrix
     constexpr auto out_gemmk0_gemmm_gemmk1_grid_step_hacks = make_tuple(
-        make_tuple(Sequence<0, 0, 1, 0, 0>{}, 
-                   Sequence<0, 0, 0, 0, 0>{}, 
-                   Sequence<0, 0, 1, 0, 0>{}),
+        make_tuple(Sequence<0, 0, 1, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 1, 0, 0>{}),
         make_tuple(
-                   Sequence<0, 0, 2, 0, 0>{}, 
-                   Sequence<0, 0, 0, 0, 0>{}, 
-                   Sequence<0, 0, 2, 0, 0>{}));
+            Sequence<0, 0, 2, 0, 0>{}, Sequence<0, 0, 0, 0, 0>{}, Sequence<0, 0, 2, 0, 0>{}));
 
     constexpr auto in_gemmk0_gemmn_gemmk1_grid_step_hacks =
         make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0>{},

host/driver_offline/src/conv_wrw_driver_offline.cpp

@@ -14,7 +14,6 @@
 #include "device_tensor.hpp"
 #include "device_convolution_backward_weight_implicit_gemm_v4r4r2_xdlops_nchw_kcyx_nkhw.hpp"
 
-
 #define USE_MODE 1
 #define USE_CONV_WRW_V4R4R2_XDL_NCHW 1
 
@@ -245,7 +244,6 @@ int main(int argc, char* argv[])
                           in_right_pads_dev);
     };
 
-
 #if USE_CONV_WRW_V4R4R2_XDL_NCHW
     if(algo == ConvBackwardWeightAlgo::V4R4R2XDLNCHW)
     {