diff --git a/paddle/fluid/framework/infershape_utils.cc b/paddle/fluid/framework/infershape_utils.cc
index 29c7f5d0ce73cbf1af18e6f5869d59d2200917ad..f57674d5601813cbc4f10b7ad74d18b00622a0bb 100644
--- a/paddle/fluid/framework/infershape_utils.cc
+++ b/paddle/fluid/framework/infershape_utils.cc
@@ -249,13 +249,13 @@ class CompatMetaTensor : public phi::MetaTensor {
   }
 
   void share_meta(const MetaTensor& meta_tensor) override {
+    share_dims(meta_tensor);
     set_dtype(meta_tensor.dtype());
     // VarDesc doesn't contains layout, so we cannot share layout
     // set_layout(meta_tensor.layout());
 
-    // special case 1: share lod of LoDTensor
+    // special case: share lod of LoDTensor
     share_lod(meta_tensor);
-    share_dims(meta_tensor);
   }
 
  private:
diff --git a/paddle/fluid/operators/softmax_op.cc b/paddle/fluid/operators/softmax_op.cc
index af90baf27d3f5bd79faf143319bfaf361992e649..3840b99dd176d5b348533f3e50f7f90fc3250ea1 100644
--- a/paddle/fluid/operators/softmax_op.cc
+++ b/paddle/fluid/operators/softmax_op.cc
@@ -215,7 +215,7 @@ REGISTER_OPERATOR(softmax, ops::SoftmaxOp, ops::SoftmaxOpMaker,
                   ops::SoftmaxOpGradMaker<paddle::framework::OpDesc>,
                   ops::SoftmaxOpGradMaker<paddle::imperative::OpBase>,
                   ops::SoftmaxInplaceInferer, SoftmaxInferShapeFunctor);
-DECLARE_INFER_SHAPE_FUNCTOR(softmax_grad, SoftmaxGradnferShapeFunctor,
+DECLARE_INFER_SHAPE_FUNCTOR(softmax_grad, SoftmaxGradInferShapeFunctor,
                             PD_INFER_META(phi::GeneralUnaryGradInferMeta));
 REGISTER_OPERATOR(softmax_grad, ops::SoftmaxOpGrad,
-                  SoftmaxGradnferShapeFunctor);
+                  SoftmaxGradInferShapeFunctor);
diff --git a/paddle/phi/core/meta_tensor.cc b/paddle/phi/core/meta_tensor.cc
index eb114304f53ea08b05d36792330cf5bd3ebbee5d..38a6e09a61ef83aa313a67a5de1ee21ce16038eb 100644
--- a/paddle/phi/core/meta_tensor.cc
+++ b/paddle/phi/core/meta_tensor.cc
@@ -110,7 +110,7 @@ void MetaTensor::share_meta(const MetaTensor& meta_tensor) {
   }
 }
 
-TensorBase* MetaTensor::get_tensor() const { return tensor_; }
+TensorBase* MetaTensor::tensor() const { return tensor_; }
 
 void MetaTensor::share_dims(const MetaTensor& meta_tensor) {
   bool is_dense_tensor = phi::DenseTensor::classof(tensor_);
@@ -118,7 +118,7 @@ void MetaTensor::share_dims(const MetaTensor& meta_tensor) {
   if (is_dense_tensor || is_selected_rows) {
     set_dims(meta_tensor.dims());
     if (is_selected_rows) {
-      const auto in_tensor_base = meta_tensor.get_tensor();
+      const auto in_tensor_base = meta_tensor.tensor();
       PADDLE_ENFORCE_EQ(
           phi::SelectedRows::classof(in_tensor_base),
           true,
diff --git a/paddle/phi/core/meta_tensor.h b/paddle/phi/core/meta_tensor.h
index 3971a9f7e99e0282cae5e4d1e61ee6eb28c4b9a7..79f8d1c057e85b11a46a90652c769459db178e14 100644
--- a/paddle/phi/core/meta_tensor.h
+++ b/paddle/phi/core/meta_tensor.h
@@ -66,7 +66,7 @@ class MetaTensor {
   // Because the lod in compiletime and runtime is different,
   // so `LoD` cannot in public methods
   const LoD& lod() const;
-  TensorBase* get_tensor() const;
+  TensorBase* tensor() const;
   TensorBase* tensor_;
 };
 
diff --git a/paddle/phi/kernels/funcs/matrix_inverse.h b/paddle/phi/kernels/funcs/matrix_inverse.h
index c5b04a8106561962b6916907d86450a63c763830..1c6756f1720a23ada5bb4ff2fdb4f4840660ed58 100644
--- a/paddle/phi/kernels/funcs/matrix_inverse.h
+++ b/paddle/phi/kernels/funcs/matrix_inverse.h
@@ -39,7 +39,7 @@ void ComputeInverseEigen(const Context& dev_ctx,
   int batch_size = rank > 2 ? a.numel() / (n * n) : 1;
 
   const T* a_ptr = a.data<T>();
-  T* a_inv_ptr = a_inv->mutable_data<T>(dev_ctx.GetPlace());
+  T* a_inv_ptr = dev_ctx.template Alloc<T>(a_inv);
 
   for (int i = 0; i < batch_size; ++i) {
     ConstEigenMatrixMap mat(a_ptr + i * n * n, n, n);