diff --git a/paddle/fluid/inference/api/paddle_pass_builder.cc b/paddle/fluid/inference/api/paddle_pass_builder.cc
index 0a478a2d2c8ae..c5b2cd6e201a5 100755
--- a/paddle/fluid/inference/api/paddle_pass_builder.cc
+++ b/paddle/fluid/inference/api/paddle_pass_builder.cc
@@ -171,8 +171,9 @@ const std::vector<std::string> kGpuLowerPrecisionPasses{
     "multi_devices_fused_multi_transformer_decoder_fuse_qkv_pass",
     "gpu_cpu_map_matmul_v2_to_mul_pass",
     "gpu_cpu_map_matmul_v2_to_matmul_pass",
+    "gpu_cpu_map_matmul_to_mul_pass",
     "fc_fuse_pass",
-    "fc_elementwise_layernorm_fuse_pass",
+    // "fc_elementwise_layernorm_fuse_pass",
     "embedding_eltwise_layernorm_fuse_pass",
     "runtime_context_cache_pass",
 };
diff --git a/paddle/fluid/operators/fused/fused_fc_elementwise_layernorm_op.cu b/paddle/fluid/operators/fused/fused_fc_elementwise_layernorm_op.cu
index 87811b61306d9..c2cb6f46010da 100644
--- a/paddle/fluid/operators/fused/fused_fc_elementwise_layernorm_op.cu
+++ b/paddle/fluid/operators/fused/fused_fc_elementwise_layernorm_op.cu
@@ -276,9 +276,9 @@ __global__ void InplaceAddReluAddLayerNormKernel(const float16* y_data,
       half tmp_0 = __hdiv(__hsub(save_ptr[save_index], mean_i), std_i);
       half tmp_1 = scale ? __hmul(scale[j], tmp_0) : tmp_0;
 #else
-      half tmp_0 = static_cast<half>(static_cast<float>(save_ptr[save_index]) -
-                                     static_cast<float>(mean_i) /
-                                         static_cast<float>(std_i));
+      half tmp_0 = static_cast<half>((static_cast<float>(save_ptr[save_index]) -
+                                      static_cast<float>(mean_i)) /
+                                     static_cast<float>(std_i));
       half tmp_1 = scale ? static_cast<half>(static_cast<float>(scale[j]) *
                                              static_cast<float>(tmp_0))
                          : tmp_0;
@@ -394,19 +394,16 @@ class FusedFCElementwiseLayerNormOpKernel : public framework::OpKernel<T> {
     auto* out_data = dev_ctx.template Alloc<T>(out, out->numel() * sizeof(T));
 
     auto blas = phi::funcs::GetBlas<phi::GPUContext, T>(dev_ctx);
-    blas.GEMM(false,
-              false,
+    blas.GEMM(CblasNoTrans,
+              CblasNoTrans,
               M,
               N,
               K,
               static_cast<T>(1.0),
               x_data,
-              K,
               w_data,
-              N,
               static_cast<T>(0.0),
-              out_data,
-              N);
+              out_data);
     auto* y = ctx.Input<framework::Tensor>("Y");
     auto* bias_0 = ctx.Input<framework::Tensor>("Bias0");
     auto* bias_1 = ctx.Input<framework::Tensor>("Bias1");
diff --git a/paddle/phi/kernels/funcs/fc_functor.cu b/paddle/phi/kernels/funcs/fc_functor.cu
index a7d4535d6df1a..6fa9b640f1265 100644
--- a/paddle/phi/kernels/funcs/fc_functor.cu
+++ b/paddle/phi/kernels/funcs/fc_functor.cu
@@ -292,19 +292,16 @@ void FCFunctor<DeviceContext, T>::operator()(const DeviceContext& context,
                     errors::PermissionDenied(
                         "Weight padding in fc can not be used in GPU scope."));
   auto blas = phi::funcs::GetBlas<DeviceContext, T>(context);
-  blas.GEMM(false,
-            false,
+  blas.GEMM(CblasNoTrans,
+            CblasNoTrans,
             M,
             N,
             K,
             static_cast<T>(1.0),
             X,
-            K,
             W,
-            N,
             static_cast<T>(0.0),
-            Y,
-            N);
+            Y);
   if (B == NULL) {
     return;
   }