diff --git a/example/65_gemm_multiply_multiply/CMakeLists.txt b/example/65_gemm_multiply_multiply/CMakeLists.txt
index f654550417..6cc96e9c9c 100644
--- a/example/65_gemm_multiply_multiply/CMakeLists.txt
+++ b/example/65_gemm_multiply_multiply/CMakeLists.txt
@@ -7,7 +7,7 @@ add_example_executable(example_moe_gemm1_xdl_fp8 moe_gemm1_xdl_fp8.cpp)
 add_example_executable(example_moe_gemm2_xdl_fp8 moe_gemm2_xdl_fp8.cpp)
 add_example_executable(example_moe_gemm2_xdl_fp8_blockscale moe_gemm2_xdl_fp8_blockscale.cpp)
 
-list(APPEND gpu_list gfx942)
+list(APPEND gpu_list gfx942 gfx950)
 set(target 0)
 foreach(gpu IN LISTS GPU_TARGETS)
     if(gpu IN_LIST gpu_list AND target EQUAL 0)
@@ -18,5 +18,5 @@ foreach(gpu IN LISTS GPU_TARGETS)
 endforeach()
 set(EXAMPLE_COMPILE_OPTIONS)
 list(APPEND EXAMPLE_COMPILE_OPTIONS -v --save-temps -Wno-gnu-line-marker)
-list(APPEND EXAMPLE_COMPILE_OPTIONS "SHELL: -mllvm -greedy-reverse-local-assignment=1 -mllvm --schedmodel=0 -mllvm -misched=gcn-iterative-max-occupancy-experimental")
+list(APPEND EXAMPLE_COMPILE_OPTIONS "SHELL: -mllvm -greedy-reverse-local-assignment=1 -mllvm --schedmodel=0 -mllvm --amdgpu-sched-strategy=gcn-iterative-max-occupancy-experimental")
 target_compile_options(example_moe_gemm2_xdl_fp8_blockscale PRIVATE ${EXAMPLE_COMPILE_OPTIONS})
\ No newline at end of file
diff --git a/example/65_gemm_multiply_multiply/moe_gemm2_xdl_fp8_blockscale.cpp b/example/65_gemm_multiply_multiply/moe_gemm2_xdl_fp8_blockscale.cpp
index 9d4dd497ec..ef5d5c9e54 100644
--- a/example/65_gemm_multiply_multiply/moe_gemm2_xdl_fp8_blockscale.cpp
+++ b/example/65_gemm_multiply_multiply/moe_gemm2_xdl_fp8_blockscale.cpp
@@ -321,9 +321,9 @@ int main(int argc, char* argv[])
     {
     case 0: break;
     case 1:
-        a0_t_k_k.GenerateTensorValue(GeneratorTensor_2<A0DataType>{-2, 2});
+        a0_t_k_k.GenerateTensorValue(GeneratorTensor_3<A0DataType>{-0.5, 0.5});
         a1_t_k_k.GenerateTensorValue(GeneratorTensor_3<A1DataType>{0, 1.0});
-        b0_e_n_k.GenerateTensorValue(GeneratorTensor_2<B0DataType>{-2, 2});
+        b0_e_n_k.GenerateTensorValue(GeneratorTensor_3<B0DataType>{-0.5, 0.5});
         b1_e_n_k.GenerateTensorValue(GeneratorTensor_3<B1DataType>{0, 1.0});
         d2_e_n.GenerateTensorValue(GeneratorTensor_3<D2DataType>{0, 1.0});
         break;