diff --git a/paddle/operators/switch_op.h b/paddle/operators/switch_op.h
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+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#pragma once
+#include "glog/logging.h"
+#include "paddle/framework/eigen.h"
+#include "paddle/framework/operator.h"
+#include "paddle/framework/ddim.h"
+#include "paddle/operators/gather.h"
+
+namespace paddle {
+namespace operators {
+
+using namespace paddle::framework;
+
+template <typename Place, typename T>
+class CondOp final : public OperatorBase {
+public:
+  void Init() override;
+
+  /**
+   * InferShape must be called before Run.
+   */
+  virtual void InferShape(const std::shared_ptr<Scope>& scope) const override {
+    scope_t = scope.NewScope();
+    scope_f = scope.NewScope();
+    net_op_t->InferShape(scope_t);
+    net_op_f->InferShape(scope_f);
+    tensor_t = new Tensor();
+    tensor_f = new Tensor();
+    { // True branch
+      for (auto& input : net_op_t->Inputs()) {
+        auto var_name = input.second;
+        if (!scope_t.FindVar(var_name) {
+          scope_t.NewVar(var_name)->GetMutable<Tensor>();
+        }
+      }
+    }
+    { // False branch
+      for (auto& input : net_op_f->Inputs()) {
+        auto var_name = input.second;
+        if (!scope_f.FindVar(var_name) {
+          scope_f.NewVar(var_name)->GetMutable<Tensor>();
+        }
+      }
+    }
+  }
+
+  virtual void Run(const std::shared_ptr<Scope>& scope,
+                   const platform::DeviceContext& dev_ctx) const override {
+    auto* cond = context.Input<Tensor>("Cond");
+    // Step 1: get the index
+    true_index.clear();
+    false_index.clear();
+    for(int i = 0; i < cond->dims()[0]; ++i) {
+      if (cond->data<bool>()[i])
+        true_index.push_back(i);
+      else:
+        false_index.push_back(i);
+    }
+    framework::DDim dim_ = paddle::framework::make_ddim({0});
+    dim_[0] = true_index.size();
+    tensor_t->Resize(dim_);
+    // set value
+    for (int i = 0; i < dim_[0]; ++i)
+      tensor_t->mutable_data<int>()[i] = true_index[i];
+    dim_[0] = false_index.size();
+    tensor_f->Resize(dim_);
+    // set value
+    for (int i = 0; i < dim_[0]; ++i)
+      tensor_f->mutable_data<int>()[i] = false_index[i];
+    
+    // Step 2: collect data by calling gather
+    { // True branch
+      for (auto& input : net_op_t->Inputs()) {
+        auto var_name = input.second;
+        // find Tensor
+        Tensor* Tensor_parent = scope.FindVar(var_name)->GetMutable<Tensor>();
+        Tensor* Tensor_child = scope_t.FindVar(var_name)->GetMutable<Tensor>();
+        Gather<T>(dev_ctx.GetPlace(), tensor_parent, tensor_t, tensor_child); 
+      }
+      
+    }
+  }
+
+private:
+  Scope* scope_t;
+  Scope* scope_f;
+
+  // subnet_t
+  std::unique_ptr<framework::OperatorBase> net_op_t;
+  // NetOp* net_op_t;
+  // subnet_f
+  std::unique_ptr<framework::OperatorBase> net_op_f;
+  // NetOp* net_op_f;
+
+  // T_index
+  vector<int> true_index;
+  Tensor* tensor_t;
+  // F_index
+  vector<int> false_index;
+  Tensor* tensor_f;
+};
+
+class CondOpMaker : public OpProtoAndCheckerMaker {
+public:
+  IfElseOpMaker(OpProto *proto, OpAttrChecker *op_checker)
+      : OpProtoAndCheckerMaker(proto, op_checker) {
+    AddInput("Cond", "The condition, which is a bool vector");
+    AddAttr<std::string>("subnet_t", "The subnet network to be called when Cond[i] == true");
+    AddAttr<std::string>("subnet_f", "The subnet network to be called when Cond[i] == false");
+    AddOutput("Out", "The output of if-else op");
+    AddComment(R"DOC(
+Sample dependent Cond Operator:
+The equation is: Out[i] = subnet_t[i], if Cond[i] == true
+Out[i] = subnet_t[i], if Cond[i] == false
+)DOC");
+  }
+};
+
+class CondGradientOp final : public OperatorBase {
+public:
+	void Init() override;
+
+	virtual void InferShape(const std::shared_ptr<Scope>& scope) const override;
+
+	virtual void Run(const std::shared_ptr<Scope>& scope,
+                   const platform::DeviceContext& dev_ctx) const override;
+};
+
+}  // namespace operators
+}  // namespace paddle