fix error when share buffer but modify the dtype (#48666)

paddle/fluid/framework/naive_executor.cc

@@ -68,7 +68,7 @@ void NaiveExecutor::Run() {
     // According to reuse table, we share the out tensor's holder.
     if (reuse_cache_.count(op.get())) {
       for (auto &it : reuse_cache_[op.get()]) {
-        it.first->ShareBufferWith(*cluster_buffer_[it.second]);
+        it.first->ShareBufferWith(*cluster_buffer_[it.second], true);
       }
     }
 

paddle/phi/core/dense_tensor.inl

@@ -62,7 +62,7 @@ void clear() {
   meta_.offset = 0;
 }
 
-void ShareBufferWith(const DenseTensor& tensor);
+void ShareBufferWith(const DenseTensor& tensor, bool only_buffer=false);
 
 void ShareDataTypeWith(const DenseTensor& tensor) {
   meta_.dtype = tensor.meta().dtype;

paddle/phi/core/dense_tensor_impl.cc

@@ -172,10 +172,12 @@ inline T* DenseTensor::mutable_data(const Place& place, size_t requested_size) {
                    requested_size));
 }
 
-void DenseTensor::ShareBufferWith(const DenseTensor& tensor) {
+void DenseTensor::ShareBufferWith(const DenseTensor& tensor, bool only_buffer) {
   holder_ = tensor.holder_;
-  meta_.offset = tensor.meta().offset;
-  meta_.dtype = tensor.dtype();
+  if (!only_buffer) {
+    meta_.offset = tensor.meta().offset;
+    meta_.dtype = tensor.dtype();
+  }
 }
 
 #define LEGACY_DATA_MEMBER_FUNC_INSTANTIATION(dtype)                \