diff --git a/paddle/fluid/pybind/eager_method.cc b/paddle/fluid/pybind/eager_method.cc
index 2bf113ecc71ba484b146590077d9e80f65a74c03..30a8d77ca1d3f4652ee64af1c132f05c936a33c0 100644
--- a/paddle/fluid/pybind/eager_method.cc
+++ b/paddle/fluid/pybind/eager_method.cc
@@ -120,11 +120,24 @@ static PyObject* tensor_method_numpy(TensorObject* self,
   auto sizeof_dtype = phi::SizeOf(self->tensor.type());
   Py_intptr_t py_dims[paddle::framework::DDim::kMaxRank];
   Py_intptr_t py_strides[paddle::framework::DDim::kMaxRank];
+  size_t py_rank = tensor_dims.size();
   size_t numel = 1;
-  for (int i = tensor_dims.size() - 1; i >= 0; --i) {
-    py_dims[i] = static_cast<size_t>(tensor_dims[i]);
-    py_strides[i] = sizeof_dtype * numel;
-    numel *= py_dims[i];
+  if (py_rank == 0) {
+    // 0D Tensor hack process to 1D numpy, will remove in future
+    VLOG(0) << "Warning:: 0D Tensor cannot be used as Tensor.numpy()[0], Now "
+               "0D will be changed to 1D numpy to avoid this problem, but it's "
+               "not correct and will be removed in future. Please change "
+               "'Tensor.numpy()[0]' to 'float(Tensor)' or "
+               "'Tensor.numpy().item()' as soon as possible.";
+    py_rank = 1;
+    py_dims[0] = 1;
+    py_strides[0] = sizeof_dtype * numel;
+  } else {
+    for (int i = tensor_dims.size() - 1; i >= 0; --i) {
+      py_dims[i] = static_cast<size_t>(tensor_dims[i]);
+      py_strides[i] = sizeof_dtype * numel;
+      numel *= py_dims[i];
+    }
   }
 
   PyObject* array = api.PyArray_NewFromDescr_(