format

include/ck/tensor_operation/gpu/device/device_batched_gemm_softmax_gemm_permute_xdl_cshuffle.hpp

@@ -408,7 +408,10 @@ struct DeviceBatchedGemmSoftmaxGemmPermute_Xdl_CShuffle
 
         __host__ __device__ bool IsUpperTriangle(index_t m, index_t n) const { return n > m; }
 
-        __host__ __device__ bool IsNOutOfBound(/*index_t m, */ index_t n) const { return n >= NRaw_; }
+        __host__ __device__ bool IsNOutOfBound(/*index_t m, */ index_t n) const
+        {
+            return n >= NRaw_;
+        }
 
         __host__ __device__ bool IsMaskedElement(index_t m, index_t n) const
         {

include/ck/tensor_operation/gpu/device/device_batched_gemm_softmax_gemm_xdl_cshuffle.hpp

@@ -323,7 +323,10 @@ struct DeviceBatchedGemmSoftmaxGemm_Xdl_CShuffle
 
         __host__ __device__ bool IsUpperTriangle(index_t m, index_t n) const { return n > m; }
 
-        __host__ __device__ bool IsNOutOfBound(/*index_t m, */ index_t n) const { return n >= NRaw_; }
+        __host__ __device__ bool IsNOutOfBound(/*index_t m, */ index_t n) const
+        {
+            return n >= NRaw_;
+        }
 
         __host__ __device__ bool IsMaskedElement(index_t m, index_t n) const
         {

include/ck/tensor_operation/gpu/device/device_grouped_gemm_softmax_gemm_permute_xdl_cshuffle.hpp

@@ -420,7 +420,10 @@ struct DeviceGroupedGemmSoftmaxGemmPermute_Xdl_CShuffle
 
         __host__ __device__ bool IsUpperTriangle(index_t m, index_t n) const { return n > m; }
 
-        __host__ __device__ bool IsNOutOfBound(/*index_t m, */ index_t n) const { return n >= NRaw_; }
+        __host__ __device__ bool IsNOutOfBound(/*index_t m, */ index_t n) const
+        {
+            return n >= NRaw_;
+        }
 
         __host__ __device__ bool IsMaskedElement(index_t m, index_t n) const
         {
@@ -646,7 +649,7 @@ struct DeviceGroupedGemmSoftmaxGemmPermute_Xdl_CShuffle
                                                  problem_desc_vec[i].BatchStrideB1,
                                                  c_grid_desc_g_m_n);
 
-                // C0 mask 
+                // C0 mask
                 const auto c0_matrix_mask = C0MatrixMask(problem_desc_vec[i].N);
 
                 grid_size_ += grid_size_grp;

include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_softmax_gemm_xdl_cshuffle_v1.hpp

@@ -763,7 +763,8 @@ struct GridwiseBatchedGemmSoftmaxGemm_Xdl_CShuffle
                 auto gemm0_n_block_idx =
                     __builtin_amdgcn_readfirstlane(gemm1_k_block_outer_index * NPerBlock);
                 if(c0_matrix_mask.IsUpperTriangle(m_block_data_idx_on_grid, gemm0_n_block_idx) &&
-                   c0_matrix_mask.IsUpperTriangle(m_block_data_idx_on_grid + MPerBlock - 1, gemm0_n_block_idx))
+                   c0_matrix_mask.IsUpperTriangle(m_block_data_idx_on_grid + MPerBlock - 1,
+                                                  gemm0_n_block_idx))
                 {
                     continue;
                 }

library/src/tensor_operation_instance/gpu/batched_gemm_masking_scale_softmax_gemm_permute/device_batched_gemm_masking_scale_softmax_gemm_permute_xdl_cshuffle_f16_f16_f16_f16_gmk_gnk_gno_gmo_instance.cpp

@@ -30,8 +30,7 @@ using PassThrough = ck::tensor_operation::element_wise::PassThrough;
 using Scale       = ck::tensor_operation::element_wise::Scale;
 
 static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
-static constexpr auto GemmPadded =
-    ck::tensor_operation::device::GemmSpecialization::MNKOPadding;
+static constexpr auto GemmPadded  = ck::tensor_operation::device::GemmSpecialization::MNKOPadding;
 
 // c[g, m, n] = a[g, m, k] * b[g, n, k]
 using device_batched_gemm_masking_scale_softmax_gemm_permute_xdl_cshuffle_f16_f16_f16_f16_gmk_gnk_gno_gmo_instances =

library/src/tensor_operation_instance/gpu/batched_gemm_softmax_gemm/device_batched_gemm_softmax_gemm_xdl_cshuffle_f16_f16_f16_f16_gmk_gnk_gno_gmo_instance.cpp

@@ -26,8 +26,7 @@ using S = ck::Sequence<Is...>;
 using PassThrough = ck::tensor_operation::element_wise::PassThrough;
 
 static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
-static constexpr auto GemmPadded =
-    ck::tensor_operation::device::GemmSpecialization::MNKOPadding;
+static constexpr auto GemmPadded  = ck::tensor_operation::device::GemmSpecialization::MNKOPadding;
 
 // c[g, m, n] = a[g, m, k] * b[g, n, k]
 using device_batched_gemm_softmax_gemm_xdl_cshuffle_f16_f16_f16_f16_gmk_gnk_gno_gmo_instances =