[Phi] move infershape for mv (#39954)

* [Phi] move infershape for mv

* [Phi] delete extra codes for mv

paddle/fluid/operators/mv_op.cc

@@ -16,8 +16,11 @@ limitations under the License. */
 #include <utility>
 #include <vector>
 
+#include "paddle/fluid/framework/infershape_utils.h"
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/framework/op_version_registry.h"
+#include "paddle/phi/core/infermeta_utils.h"
+#include "paddle/phi/infermeta/binary.h"
 
 namespace paddle {
 namespace operators {
@@ -42,33 +45,6 @@ class MVOp : public framework::OperatorWithKernel {
   using framework::OperatorWithKernel::OperatorWithKernel;
 
  protected:
-  void InferShape(framework::InferShapeContext *context) const override {
-    OP_INOUT_CHECK(context->HasInput("X"), "Input", "X", "mv");
-    OP_INOUT_CHECK(context->HasInput("Vec"), "Input", "Vec", "mv");
-    OP_INOUT_CHECK(context->HasOutput("Out"), "Output", "Out", "mv");
-
-    auto dim_x = context->GetInputDim("X");
-    auto dim_vec = context->GetInputDim("Vec");
-    PADDLE_ENFORCE_EQ(
-        dim_x.size(), 2,
-        platform::errors::InvalidArgument(
-            "The rank of input X should be 2, but is %d", dim_x.size()));
-    PADDLE_ENFORCE_EQ(
-        dim_vec.size(), 1,
-        platform::errors::InvalidArgument(
-            "The rank of input Vec should be 1, but is %d", dim_vec.size()));
-    PADDLE_ENFORCE_EQ(dim_x[1], dim_vec[0],
-                      platform::errors::InvalidArgument(
-                          "X's second dimension is expected to be equal to "
-                          "Vec's first dimension"
-                          "but recieved X'shape = [%s], Vec's shape = [%s]",
-                          dim_x, dim_vec));
-
-    framework::DDim dim_out = phi::make_ddim({dim_x[0]});
-
-    context->SetOutputDim("Out", dim_out);
-    context->ShareLoD("X", /*->*/ "Out");
-  }
 };
 
 template <typename T>
@@ -118,7 +94,11 @@ class MVOpGrad : public framework::OperatorWithKernel {
 namespace ops = paddle::operators;
 namespace plat = paddle::platform;
 
+DELCARE_INFER_SHAPE_FUNCTOR(mv, MvInferShapeFunctor,
+                            PT_INFER_META(phi::MvInferMeta));
+
 REGISTER_OPERATOR(mv, ops::MVOp, ops::MVOpMaker,
                   ops::MVOpGradMaker<paddle::framework::OpDesc>,
-                  ops::MVOpGradMaker<paddle::imperative::OpBase>);
+                  ops::MVOpGradMaker<paddle::imperative::OpBase>,
+                  MvInferShapeFunctor);
 REGISTER_OPERATOR(mv_grad, ops::MVOpGrad);

paddle/phi/infermeta/binary.cc

@@ -443,4 +443,34 @@ void GatherTreeMeta(const MetaTensor& ids,
   out->set_dims(ids_dims);
 }
 
+void MvInferMeta(const MetaTensor& x, const MetaTensor& vec, MetaTensor* out) {
+  auto dim_x = x.dims();
+  auto dim_vec = vec.dims();
+  PADDLE_ENFORCE_EQ(
+      dim_x.size(),
+      2,
+      phi::errors::InvalidArgument("The rank of input X should be 2, but is %d",
+                                   dim_x.size()));
+  PADDLE_ENFORCE_EQ(
+      dim_vec.size(),
+      1,
+      phi::errors::InvalidArgument(
+          "The rank of input Vec should be 1, but is %d", dim_vec.size()));
+  PADDLE_ENFORCE_EQ(dim_x[1],
+                    dim_vec[0],
+                    phi::errors::InvalidArgument(
+                        "X's second dimension is expected to be equal to "
+                        "Vec's first dimension"
+                        "but recieved X'shape = [%s], Vec's shape = [%s]",
+                        dim_x,
+                        dim_vec));
+
+  auto dim_out = phi::make_ddim({dim_x[0]});
+
+  out->set_dims(dim_out);
+  out->set_dtype(x.dtype());
+  out->set_layout(x.layout());
+  out->share_lod(x);
+}
+
 }  // namespace phi

paddle/phi/infermeta/binary.h

@@ -85,4 +85,7 @@ void GatherNdInferMeta(const MetaTensor& x,
 void GatherTreeMeta(const MetaTensor& ids,
                     const MetaTensor& parents,
                     MetaTensor* out);
+
+void MvInferMeta(const MetaTensor& x, const MetaTensor& vec, MetaTensor* out);
+
 }  // namespace phi

paddle/phi/ops/compat/mv_sig.cc

@@ -16,10 +16,6 @@
 
 namespace phi {
 
-KernelSignature MvOpArgumentMapping(const ArgumentMappingContext& ctx) {
-  return KernelSignature("mv", {"X", "Vec"}, {}, {"Out"});
-}
-
 KernelSignature MvGradOpArgumentMapping(const ArgumentMappingContext& ctx) {
   return KernelSignature("mv_grad",
                          {"X", "Vec", GradVarName("Out")},
@@ -29,5 +25,4 @@ KernelSignature MvGradOpArgumentMapping(const ArgumentMappingContext& ctx) {
 
 }  // namespace phi
 
-PD_REGISTER_ARG_MAPPING_FN(mv, phi::MvOpArgumentMapping);
 PD_REGISTER_ARG_MAPPING_FN(mv_grad, phi::MvGradOpArgumentMapping);