removed unused lds loads (#196)

include/ck/tensor_operation/gpu/block/blockwise_gemm_xdlops.hpp

@@ -39,6 +39,8 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1
 
     static constexpr auto xdlops_gemm = XdlopsGemm<FloatAB, MPerXDL, NPerXDL, KPack>{};
 
+    static constexpr index_t KPerThread = KPerBlock / xdlops_gemm.K0PerXdlops;
+
     static constexpr index_t MWaves = MPerBlock / (MRepeat * MPerXDL);
     static constexpr index_t NWaves = NPerBlock / (NRepeat * NPerXDL);
 
@@ -71,7 +73,7 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1
 
         const auto xdlops_a_idx = xdlops_gemm.CalculateAThreadOriginDataIndex();
 
-        return make_tuple(0, waveId_m, xdlops_a_idx[I1], Number<KPack>{} * xdlops_a_idx[I0]);
+        return make_tuple(0, waveId_m, xdlops_a_idx[I1], KPerThread * xdlops_a_idx[I0]);
     }
 
     __device__ static auto CalculateBThreadOriginDataIndex()
@@ -82,7 +84,7 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1
 
         const auto xdlops_b_idx = xdlops_gemm.CalculateBThreadOriginDataIndex();
 
-        return make_tuple(0, waveId_n, xdlops_b_idx[I1], Number<KPack>{} * xdlops_b_idx[I0]);
+        return make_tuple(0, waveId_n, xdlops_b_idx[I1], KPerThread * xdlops_b_idx[I0]);
     }
 
     template <index_t m0, index_t n0, index_t xdlops_i, index_t blk_i>
@@ -273,7 +275,7 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1
                                    make_tuple(I0, I0, I0, I0),
                                    b_thread_buf);
 
-                static_for<0, KPerBlock, KPack * xdlops_gemm.K0PerXdlops>{}([&](auto k) {
+                static_for<0, KPerThread, KPack>{}([&](auto k) {
                     vector_type<FloatAB, KPack> a_thread_vec;
                     vector_type<FloatAB, KPack> b_thread_vec;
 
@@ -300,13 +302,13 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1
     }
 
     private:
-    // A[M0, M1, M2, KPerBlock]
+    // A[M0, M1, M2, KPerThread]
     static constexpr auto a_thread_desc_ =
-        make_naive_tensor_descriptor_packed(make_tuple(I1, I1, I1, Number<KPerBlock>{}));
+        make_naive_tensor_descriptor_packed(make_tuple(I1, I1, I1, Number<KPerThread>{}));
 
-    // B[N0, N1, N2, KPerBlock]
+    // B[N0, N1, N2, KPerThread]
     static constexpr auto b_thread_desc_ =
-        make_naive_tensor_descriptor_packed(make_tuple(I1, I1, I1, Number<KPerBlock>{}));
+        make_naive_tensor_descriptor_packed(make_tuple(I1, I1, I1, Number<KPerThread>{}));
 
     // C[M, N, NumRegXdlops]
     static constexpr auto c_thread_desc_ = make_naive_tensor_descriptor_packed(
@@ -316,7 +318,7 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1
                                                          FloatAB,
                                                          decltype(a_block_desc_m0_m1_m2_k),
                                                          decltype(a_thread_desc_),
-                                                         Sequence<1, 1, 1, KPerBlock>,
+                                                         Sequence<1, 1, 1, KPerThread>,
                                                          Sequence<0, 1, 2, 3>,
                                                          3,
                                                          A_K1,
@@ -326,7 +328,7 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1
                                                          FloatAB,
                                                          decltype(b_block_desc_n0_n1_n2_k),
                                                          decltype(b_thread_desc_),
-                                                         Sequence<1, 1, 1, KPerBlock>,
+                                                         Sequence<1, 1, 1, KPerThread>,
                                                          Sequence<0, 1, 2, 3>,
                                                          3,
                                                          B_K1,