hotfix moegemm2 nswizzle

example/65_gemm_multiply_multiply/moe_gemm2.cpp

@@ -169,7 +169,7 @@ using DeviceOpInstance = ck::tensor_operation::device::DeviceMoeGemm
                //    MXdlPerWave| NXdlPerWave|         _MBlock_MWaveMPerXdl| ScalarPerVector|
                 //  PerShuffle|  PerShuffle|         _NBlock_NWaveNPerXdl|   _NWaveNPerXdl|
                CShuffleMXDLPerWave,    1,   S<1, CShuffleMLane, 1, CShuffleNLane>, S<EVec, D0Vec, D1Vec, D2Vec>,
-               ck::BlockGemmPipelineScheduler::Intrawave, ck::BlockGemmPipelineVersion::v1, false, false, A0DataType>;
+               ck::BlockGemmPipelineScheduler::Intrawave, ck::BlockGemmPipelineVersion::v1, true, false, A0DataType>;
         // kernel 2: 128->32x128x128
         //  <      Row,      Col, DsLayout, ELayout, A0DataType, B0DataType, DsDataType, EDataType, AccDataType, CShuffleDataType,  AElementOp,  BElementOp, CDEElementOp,       GemmSpec,   128,   32,   128,    128,  16,  16,  32,   32,    1,    2,     S<8, 16, 1>,     S<1, 0, 2>,    S<1, 0, 2>,               2,             16,             16,          0,     S<8, 16, 1>,    S<1, 0, 2>,     S<1, 0, 2>,             2,              16,             16,          0,          1,           1,               S<1, 16, 1, 8>,      S<8, 8, 1>,  ck::BlockGemmPipelineScheduler::Interwave, ck::BlockGemmPipelineVersion::v1, EDataType>;
 

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

@@ -1158,13 +1158,22 @@ struct GridwiseMoeGemm
         const index_t expert_block_id = blockIdx.x / problem.NBlock;
         // const index_t b_block_id = blockIdx.x % problem.NBlock;
         const index_t expert_id = __builtin_amdgcn_readfirstlane(p_sorted_expert_ids[expert_block_id]);
+        const auto block_mn = [&]() -> std::pair<int, int> {
+            if constexpr (NSwizzle) 
+            {
                 const index_t es = __builtin_amdgcn_readfirstlane(p_max_token_id[expert_block_id + 1]);
                 const index_t expert_swizzle = es > 0 ? es : 1; //p_max_token_id[expert_id + 1];
                 const index_t expert_block_swizzle = expert_block_id / expert_swizzle;
                 const index_t b_block_id_swizzle = blockIdx.x % (problem.NBlock * expert_swizzle);
-        const index_t block_n_id = __builtin_amdgcn_readfirstlane(b_block_id_swizzle % 8 +  b_block_id_swizzle / (8 * expert_swizzle) * 8);
-        const index_t block_m_id = __builtin_amdgcn_readfirstlane(expert_block_swizzle * expert_swizzle + b_block_id_swizzle / 8 % expert_swizzle);
-        
+                const index_t nid = __builtin_amdgcn_readfirstlane(b_block_id_swizzle % 8 +  b_block_id_swizzle / (8 * expert_swizzle) * 8);
+                const index_t mid = __builtin_amdgcn_readfirstlane(expert_block_swizzle * expert_swizzle + b_block_id_swizzle / 8 % expert_swizzle);
+                return {nid, mid};
+            } else {
+                return {blockIdx.x, blockIdx.y};
+            }
+        }();
+        const index_t block_n_id = block_mn.first;
+        const index_t block_m_id = block_mn.second;
         // if (threadIdx.x==0) {
         //     printf("bid %d, eid %d,  es %d, esi %d, bsi %d, m %d, n %d\n", blockIdx.x, expert_id, expert_swizzle, expert_block_swizzle, b_block_id_swizzle, block_m_id, block_n_id);
         // }