diff --git a/paddle/fluid/framework/operator.cc b/paddle/fluid/framework/operator.cc
index fc605bebc5481686c2ef28766d39eed9eb4b0c92..349133491f11a5ff6454cebdc9d15b66af238561 100644
--- a/paddle/fluid/framework/operator.cc
+++ b/paddle/fluid/framework/operator.cc
@@ -1565,41 +1565,16 @@ void OperatorWithKernel::CheckWhetherPreparePhiData(
     const VariableNameMap& outnames,
     const Scope& scope) const {
   if (run_phi_kernel_ && impl_ != nullptr) {
-    const auto& phi_kernel_context = impl_->getKernelContext();
-    size_t phi_tensor_index = 0;
-    // Check each tensor in KernelContext, if there is a tensor that has
-    // different type with variable. The PhiKernelContext need be reconstructed.
-    // We use kernel_signature_'s output to retrieve tensor. Because the tensor
-    // in phi_kernel_context stored in the order of kernel_signature_'s output.
-    if (phi_kernel_context->OutputsSize() >= phi_tensor_index ||
-        kernel_signature_ == nullptr) {
+    // For feed, there are two situations we need prepare phi data.
+    // 1. Sometimes the output's tensor in cached PhiKernelContext is
+    // inconsistent with the variable in scope. So we need prepare phi data.
+    // 2. Somehow, sometimes the input's tensor in cached PhiKernelContext has
+    // some problems. When we use these inputs, we get segmentfault and we must
+    // prepare phi data.
+    if (Type() == "feed") {
       need_prepare_phi_data_ = true;
       return;
     }
-
-    const auto& phi_output_names = kernel_signature_->output_names;
-    for (auto& phi_output_name : phi_output_names) {
-      const auto& iter = outnames.find(phi_output_name);
-      if (iter != outnames.end()) {
-        for (auto& var_name : iter->second) {
-          auto var_output = scope.FindVar(var_name);
-          auto phi_output =
-              phi_kernel_context->MutableOutputAt<phi::TensorBase>(
-                  phi_tensor_index);
-          if (phi_output == nullptr) {
-            continue;
-          }
-          if (!(HasSameTensorType<phi::DenseTensor>(phi_output, var_output) ||
-                HasSameTensorType<phi::SparseCooTensor>(phi_output,
-                                                        var_output) ||
-                HasSameTensorType<framework::Strings>(phi_output,
-                                                      var_output))) {
-            need_prepare_phi_data_ = true;
-          }
-          phi_tensor_index++;
-        }
-      }
-    }
   }
 }