Fix: deal with dist tensor in tensor_method_numpy on xpu

Author: 0x3878f

paddle/fluid/pybind/eager_method.cc

@@ -398,6 +398,31 @@ static PyObject* tensor_method_numpy(TensorObject* self,
                            dense_tensor->place(),
                            dense_tensor->Holder()->ptr(),
                            dense_tensor->Holder()->size());
+    } else if (self->tensor.is_dist_tensor()) {
+#ifdef PADDLE_WITH_DISTRIBUTE
+      VLOG(6) << "Getting DistTensor's numpy value";
+      auto* dist_tensor =
+          static_cast<phi::distributed::DistTensor*>(self->tensor.impl().get());
+      auto dense_tensor = ReshardXToReplicated(dist_tensor);
+
+      cpu_tensor.set_meta(dense_tensor.meta());
+      auto tmp_allocation_ptr =
+          memory::Alloc(cpu_place, dense_tensor.Holder()->size());
+      cpu_tensor.ResetHolder(std::shared_ptr<phi::Allocation>(
+          tmp_allocation_ptr.release(), tmp_allocation_ptr.get_deleter()));
+      paddle::memory::Copy(place,
+                           cpu_tensor.Holder()->ptr(),
+                           dense_tensor.place(),
+                           dense_tensor.Holder()->ptr(),
+                           dense_tensor.Holder()->size());
+#else
+      PADDLE_THROW(
+          common::errors::Unavailable("The `numpy()` method of (Dist)Tensor "
+                                      "is not supported in the current "
+                                      "PaddlePaddle, please recompile and "
+                                      "installPaddlePaddle with the option "
+                                      "of `WITH_DISTRIBUTE=ON`."));
+#endif
     } else {
       VLOG(6) << "Getting DenseTensor's numpy value";
       auto dense_tensor =