diff --git a/paddle/fluid/framework/ir/mkldnn/mkldnn_inplace_pass_tester.cc b/paddle/fluid/framework/ir/mkldnn/mkldnn_inplace_pass_tester.cc
index 796aa4039c9e851fc31bde77446467446adb9268..d578ada0db00fed85f7b4f25f1483169c72c2c0b 100644
--- a/paddle/fluid/framework/ir/mkldnn/mkldnn_inplace_pass_tester.cc
+++ b/paddle/fluid/framework/ir/mkldnn/mkldnn_inplace_pass_tester.cc
@@ -15,8 +15,9 @@
 #include "paddle/fluid/framework/ir/mkldnn/mkldnn_inplace_pass.h"
 
 #include <gtest/gtest.h>
-#include <boost/logic/tribool.hpp>
 #include <unordered_set>
+
+#include <boost/logic/tribool.hpp>
 #include "paddle/fluid/framework/ir/pass_tester_helper.h"
 #include "paddle/fluid/framework/op_registry.h"
 
diff --git a/paddle/fluid/operators/graph_send_recv_op.cc b/paddle/fluid/operators/graph_send_recv_op.cc
index b759345eda5657f4803d8208d880c9b3977ea937..f7c006dbcb1a9a23ec619c8d790df8a093530eee 100644
--- a/paddle/fluid/operators/graph_send_recv_op.cc
+++ b/paddle/fluid/operators/graph_send_recv_op.cc
@@ -12,7 +12,10 @@ 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. */
 
+#include "paddle/fluid/framework/infershape_utils.h"
 #include "paddle/fluid/framework/op_registry.h"
+#include "paddle/phi/core/infermeta_utils.h"
+#include "paddle/phi/infermeta/ternary.h"
 
 namespace paddle {
 namespace operators {
@@ -21,59 +24,6 @@ class GraphSendRecvOP : public framework::OperatorWithKernel {
  public:
   using framework::OperatorWithKernel::OperatorWithKernel;
 
-  void InferShape(framework::InferShapeContext* ctx) const override {
-    OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "GraphSendRecv");
-    OP_INOUT_CHECK(ctx->HasInput("Src_index"), "Input", "Src_index",
-                   "GraphSendRecv");
-    OP_INOUT_CHECK(ctx->HasInput("Dst_index"), "Input", "Dst_index",
-                   "GraphSendRecv");
-    OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "GraphSendRecv");
-
-    auto src_index_dims = ctx->GetInputDim("Src_index");
-    if (src_index_dims.size() == 2) {
-      PADDLE_ENFORCE_EQ(src_index_dims[1], 1,
-                        platform::errors::InvalidArgument(
-                            "The last dim of Src_index should be 1 when it "
-                            "is 2D, but we get %d",
-                            src_index_dims[1]));
-    } else {
-      PADDLE_ENFORCE_EQ(
-          src_index_dims.size(), 1,
-          platform::errors::InvalidArgument(
-              "The Src_index should be 1D, when it is not 2D, but we get %d",
-              src_index_dims.size()));
-    }
-
-    auto dst_index_dims = ctx->GetInputDim("Dst_index");
-    if (dst_index_dims.size() == 2) {
-      PADDLE_ENFORCE_EQ(dst_index_dims[1], 1,
-                        platform::errors::InvalidArgument(
-                            "The last dim of Dst_index should be 1 when it "
-                            "is 2D, but we get %d",
-                            dst_index_dims[1]));
-    } else {
-      PADDLE_ENFORCE_EQ(
-          dst_index_dims.size(), 1,
-          platform::errors::InvalidArgument("The Dst_index should be 1D, "
-                                            "when it is not 2D, but we get %d",
-                                            dst_index_dims.size()));
-    }
-
-    PADDLE_ENFORCE_EQ(
-        src_index_dims[0], dst_index_dims[0],
-        platform::errors::InvalidArgument(
-            "Src_index and Dst_index should have the same shape."));
-
-    auto dims = ctx->GetInputDim("X");
-    ctx->SetOutputDim("Out", dims);
-
-    if (ctx->Attrs().Get<std::string>("pool_type") == "MEAN") {
-      OP_INOUT_CHECK(ctx->HasOutput("Dst_count"), "Output", "Dst_count",
-                     "GraphSendRecv");
-      ctx->SetOutputDim("Dst_count", {dims[0]});
-    }
-  }
-
  protected:
   framework::OpKernelType GetExpectedKernelType(
       const framework::ExecutionContext& ctx) const override {
@@ -164,10 +114,12 @@ class GraphSendRecvGradOpMaker : public framework::SingleGradOpMaker<T> {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-using CPU = paddle::platform::CPUDeviceContext;
 
+DECLARE_INFER_SHAPE_FUNCTOR(graph_send_recv, GraphSendRecvInferShapeFunctor,
+                            PD_INFER_META(phi::GraphSendRecvInferMeta));
 REGISTER_OPERATOR(graph_send_recv, ops::GraphSendRecvOP,
                   ops::GraphSendRecvOpMaker,
                   ops::GraphSendRecvGradOpMaker<paddle::framework::OpDesc>,
-                  ops::GraphSendRecvGradOpMaker<paddle::imperative::OpBase>);
+                  ops::GraphSendRecvGradOpMaker<paddle::imperative::OpBase>,
+                  GraphSendRecvInferShapeFunctor);
 REGISTER_OPERATOR(graph_send_recv_grad, ops::GraphSendRecvGradOp);
diff --git a/paddle/phi/infermeta/ternary.cc b/paddle/phi/infermeta/ternary.cc
index 67a82392411bd9393f6f8e0129f846e06910b21c..8baf3d7ed965b624585220d61db241cce13664ae 100644
--- a/paddle/phi/infermeta/ternary.cc
+++ b/paddle/phi/infermeta/ternary.cc
@@ -285,4 +285,58 @@ void LinspaceInferMeta(const MetaTensor& start,
   out->set_dtype(start.dtype());
 }
 
+void GraphSendRecvInferMeta(const MetaTensor& x,
+                            const MetaTensor& src_index,
+                            const MetaTensor& dst_index,
+                            const std::string& pool_type,
+                            MetaTensor* out,
+                            MetaTensor* dst_count) {
+  auto src_index_dims = src_index.dims();
+  if (src_index_dims.size() == 2) {
+    PADDLE_ENFORCE_EQ(src_index_dims[1],
+                      1,
+                      phi::errors::InvalidArgument(
+                          "The last dim of Src_index should be 1 when it "
+                          "is 2D, but we get %d",
+                          src_index_dims[1]));
+  } else {
+    PADDLE_ENFORCE_EQ(
+        src_index_dims.size(),
+        1,
+        phi::errors::InvalidArgument(
+            "The Src_index should be 1D, when it is not 2D, but we get %d",
+            src_index_dims.size()));
+  }
+
+  auto dst_index_dims = dst_index.dims();
+  if (dst_index_dims.size() == 2) {
+    PADDLE_ENFORCE_EQ(dst_index_dims[1],
+                      1,
+                      phi::errors::InvalidArgument(
+                          "The last dim of Dst_index should be 1 when it "
+                          "is 2D, but we get %d",
+                          dst_index_dims[1]));
+  } else {
+    PADDLE_ENFORCE_EQ(
+        dst_index_dims.size(),
+        1,
+        phi::errors::InvalidArgument("The Dst_index should be 1D, "
+                                     "when it is not 2D, but we get %d",
+                                     dst_index_dims.size()));
+  }
+
+  PADDLE_ENFORCE_EQ(src_index_dims[0],
+                    dst_index_dims[0],
+                    phi::errors::InvalidArgument(
+                        "Src_index and Dst_index should have the same shape."));
+
+  auto dims = x.dims();
+  out->set_dims(dims);
+  out->set_dtype(x.dtype());
+
+  if (pool_type == "MEAN") {
+    dst_count->set_dims({dims[0]});
+    dst_count->set_dtype(DataType::INT32);
+  }
+}
 }  // namespace phi
diff --git a/paddle/phi/infermeta/ternary.h b/paddle/phi/infermeta/ternary.h
index da48641dee7d5b3e4aa91dc2858d247382e97b98..b54460bc9f68dd2a9821a135c27c50135cff85a2 100644
--- a/paddle/phi/infermeta/ternary.h
+++ b/paddle/phi/infermeta/ternary.h
@@ -71,4 +71,10 @@ void LinspaceInferMeta(const MetaTensor& start,
                        const MetaTensor& number,
                        MetaTensor* out);
 
+void GraphSendRecvInferMeta(const MetaTensor& x,
+                            const MetaTensor& src_index,
+                            const MetaTensor& dst_index,
+                            const std::string& pool_type,
+                            MetaTensor* out,
+                            MetaTensor* dst_count);
 }  // namespace phi