diff --git a/mindspore/lite/src/runtime/kernel/arm/base/matmul_base.cc b/mindspore/lite/src/runtime/kernel/arm/base/matmul_base.cc
index 4d73c7c658afb663b6468740a0ce0839eeb5195d..01b719e1b1c9f5ae4cafcf2bfabd4b6201b93509 100644
--- a/mindspore/lite/src/runtime/kernel/arm/base/matmul_base.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/base/matmul_base.cc
@@ -35,30 +35,15 @@ kernel::LiteKernel *CpuMatmulKernelCreator(const std::vector<lite::tensor::Tenso
   auto input_tensor = inputs.at(kInputIndex);
   auto data_type = input_tensor->data_type();
   kernel::LiteKernel *kernel = nullptr;
-  switch (data_type) {
-    case kNumberTypeInt8:
-    case kNumberTypeUInt8: {
-      kernel = new (std::nothrow) MatmulInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
-      if (kernel == nullptr) {
-        MS_LOG(ERROR) << "kernel is nullptr.";
-        return nullptr;
-      }
-      break;
-    }
-
-    case kNumberTypeFloat32: {
-      kernel = new (std::nothrow) MatmulCPUKernel(opParameter, inputs, outputs, ctx, primitive);
-      if (kernel == nullptr) {
-        MS_LOG(ERROR) << "kernel is nullptr.";
-        return nullptr;
-      }
-      break;
-    }
-
-    default:
-      break;
+  if (data_type == kNumberTypeInt8 || data_type == kNumberTypeUInt8) {
+    kernel = new (std::nothrow) MatmulInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
+  } else {
+    kernel = new (std::nothrow) MatmulCPUKernel(opParameter, inputs, outputs, ctx, primitive);
+  }
+  if (kernel == nullptr) {
+    MS_LOG(ERROR) << "kernel is nullptr.";
+    return nullptr;
   }
-
   auto ret = kernel->Init();
   if (ret != RET_OK) {
     delete kernel;