diff --git a/lite/kernels/mlu/bridges/pool_op.cc b/lite/kernels/mlu/bridges/pool_op.cc
index f77c8084c76fc52c39938e723f02bde9b3cac41b..d9c84808dcf6eeed3fe1eee6fdf9e84d8aeee4fc 100644
--- a/lite/kernels/mlu/bridges/pool_op.cc
+++ b/lite/kernels/mlu/bridges/pool_op.cc
@@ -72,6 +72,13 @@ int PoolConverter(void* ctx, OpLite* op, KernelBase* kernel) {
   if (op_info->HasAttr("adaptive")) {
     adaptive = op_info->GetAttr<bool>("adaptive");
   }
+  auto input_dims = x->dims();
+  if (global_pooling) {
+    ksize.resize(static_cast<size_t>(input_dims.size()) - 2);
+    for (size_t i = 0; i < ksize.size(); ++i) {
+      ksize[i] = static_cast<int>(input_dims[i + 2]);
+    }
+  }
   lite::operators::UpdatePadding(&paddings,
                                  global_pooling,
                                  adaptive,
diff --git a/lite/kernels/x86/activation_compute.cc b/lite/kernels/x86/activation_compute.cc
index 2910364f37b74d94977e2397e31eb97fd367825e..9b4c2fadd9ce427db272a9bb0cfd0e0a10716f11 100644
--- a/lite/kernels/x86/activation_compute.cc
+++ b/lite/kernels/x86/activation_compute.cc
@@ -78,3 +78,13 @@ REGISTER_LITE_KERNEL(softsign,
     .BindInput("X", {LiteType::GetTensorTy(TARGET(kX86))})
     .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kX86))})
     .Finalize();
+
+REGISTER_LITE_KERNEL(sigmoid,
+                     kX86,
+                     kFloat,
+                     kNCHW,
+                     paddle::lite::kernels::x86::SoftsignCompute<float>,
+                     def)
+    .BindInput("X", {LiteType::GetTensorTy(TARGET(kX86))})
+    .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kX86))})
+    .Finalize();
diff --git a/lite/kernels/x86/elementwise_compute.cc b/lite/kernels/x86/elementwise_compute.cc
index 710e67956b055b84323a23443c671682704dd2c2..3a7787de2d3ebd7381d2feea9d17a955b35c89ae 100644
--- a/lite/kernels/x86/elementwise_compute.cc
+++ b/lite/kernels/x86/elementwise_compute.cc
@@ -35,3 +35,14 @@ REGISTER_LITE_KERNEL(elementwise_add,
     .BindInput("Y", {LiteType::GetTensorTy(TARGET(kX86))})
     .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kX86))})
     .Finalize();
+
+REGISTER_LITE_KERNEL(elementwise_mul,
+                     kX86,
+                     kFloat,
+                     kNCHW,
+                     paddle::lite::kernels::x86::ElementwiseAddCompute<float>,
+                     def)
+    .BindInput("X", {LiteType::GetTensorTy(TARGET(kX86))})
+    .BindInput("Y", {LiteType::GetTensorTy(TARGET(kX86))})
+    .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kX86))})
+    .Finalize();