formatting

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

@@ -20,12 +20,14 @@ namespace device {
  * \brief Wrapper function of GridwiseGemm::Run to realize BatchedGEMM.
  *
  * \tparam ComputePrtOffsetOfBatch Class that computes the base pointer offsets of A, B, C matrix
- * given the batch. For example, ComputePtrOffsetOfStridedBatch() computes the offsets of evenly strided batched, but we can easily extend to other layouts. The returned offset can be either \p index_t or \p long_index_t. If it returns
- * \p long_index_t, we are not subject to the 2GB limitations.
+ * given the batch. For example, ComputePtrOffsetOfStridedBatch() computes the offsets of evenly
+ * strided batched, but we can easily extend to other layouts. The returned offset can be either \p
+ * index_t or \p long_index_t. If it returns \p long_index_t, we are not subject to the 2GB
+ * limitations.
  *
- * \tparam
- * Block2CTileMap Block2CTileMap::CalculateBottomIndex() takes in id of a workgroup and returns the
- * 2D index of the tile that it computes. \see GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3::Run().
+ * \tparam Block2CTileMap Block2CTileMap::CalculateBottomIndex() takes in id of a workgroup and
+ * returns the 2D index of the tile that it computes. \see
+ * GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v2r3::Run().
  *
  * \note Using \p ComputePrtOffsetOfBatch gives us the flexibility that 2 workgroups can compute 2
  * tiles from different matrices. Keep in mind that these 2 matrices can share the same grid