diff --git a/lite/kernels/arm/split_compute.cc b/lite/kernels/arm/split_compute.cc
index 27606e2d76dfd13161fffc3f53d614155f62254e..2a0c52e7fc44cdd7c36ac3e8f93b33731f03bd77 100644
--- a/lite/kernels/arm/split_compute.cc
+++ b/lite/kernels/arm/split_compute.cc
@@ -42,5 +42,9 @@ void SplitCompute::Run() {
 REGISTER_LITE_KERNEL(
     split, kARM, kFloat, kNCHW, paddle::lite::kernels::arm::SplitCompute, def)
     .BindInput("X", {LiteType::GetTensorTy(TARGET(kARM))})
+    .BindInput("AxisTensor",
+               {LiteType::GetTensorTy(TARGET(kARM), PRECISION(kInt32))})
+    .BindInput("SectionsTensorList",
+               {LiteType::GetTensorTy(TARGET(kARM), PRECISION(kInt32))})
     .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kARM))})
     .Finalize();
diff --git a/lite/operators/op_params.h b/lite/operators/op_params.h
index 0e9f85e06096b64b8f041cc7fbb58db240ecd78e..d47543961529b0147768ca11f2df70f8b3b66526 100644
--- a/lite/operators/op_params.h
+++ b/lite/operators/op_params.h
@@ -344,6 +344,9 @@ struct DropoutParam {
 struct SplitParam {
   lite::Tensor* x{};
   std::vector<lite::Tensor*> output{};
+  lite::Tensor* axis_tensor;
+  std::vector<lite::Tensor*> sections_tensor_list{};
+
   int axis{-1};
   int num{0};
   std::vector<int> sections;
diff --git a/lite/operators/split_op.cc b/lite/operators/split_op.cc
index 18280616aa00b734596b620727f6dcfd5beb67d7..ec98a0d6c3ba3b1e5cd1c7992b58e96917d21057 100644
--- a/lite/operators/split_op.cc
+++ b/lite/operators/split_op.cc
@@ -39,8 +39,16 @@ bool SplitOp::InferShape() const {
   const int outs_number = outs.size();
   std::vector<lite::DDim> outs_dims;
   outs_dims.reserve(outs_number);
-
-  if (num > 0) {
+  std::vector<lite::Tensor *> sections_tensor_list_ =
+      param_.sections_tensor_list;
+  if (sections.size() > 0 && sections_tensor_list_.size() > 0) {
+    std::vector<int> vec_sections;
+    for (size_t i = 0; i < sections_tensor_list_.size(); ++i) {
+      auto dim = in_dims;
+      dim[axis] = sections_tensor_list_[i]->data<int>()[0];
+      outs_dims.push_back(dim);
+    }
+  } else if (num > 0) {
     int out_axis_dim = in_dims[axis] / num;
     for (int i = 0; i < outs_number; ++i) {
       auto dim = in_dims;
@@ -55,6 +63,10 @@ bool SplitOp::InferShape() const {
     }
   }
 
+  if (param_.axis_tensor != nullptr) {
+    axis = param_.axis_tensor->data<int>()[0];
+  }
+
   for (int j = 0; j < outs_dims.size(); ++j) {
     outs[j]->Resize(outs_dims[j]);
   }
@@ -73,6 +85,21 @@ bool SplitOp::AttachImpl(const cpp::OpDesc &opdesc, lite::Scope *scope) {
   for (auto var : outs) {
     param_.output.push_back(scope->FindVar(var)->GetMutable<lite::Tensor>());
   }
+  std::vector<std::string> input_arg_names = opdesc.InputArgumentNames();
+  if (std::find(input_arg_names.begin(), input_arg_names.end(), "AxisTensor") !=
+      input_arg_names.end()) {
+    auto args = opdesc.Input("AxisTensor");
+    auto *var = scope->FindVar(args.front());
+    param_.axis_tensor = var->GetMutable<lite::Tensor>();
+  }
+  if (std::find(input_arg_names.begin(),
+                input_arg_names.end(),
+                "SectionsTensorList") != input_arg_names.end()) {
+    auto args = opdesc.Input("SectionsTensorList");
+    auto *var = scope->FindVar(args.front());
+    param_.sections_tensor_list =
+        *(var->GetMutable<std::vector<lite::Tensor *>>());
+  }
   return true;
 }