remove all is initialized using (#41766)

paddle/fluid/distributed/collective/reducer.cc

@@ -398,7 +398,7 @@ void EagerReducer::InitializeDenseGroups(
                           "GRAD is SelectedRows",
                           tensor_name));
 
-    PADDLE_ENFORCE_EQ(tensor.is_initialized(), true,
+    PADDLE_ENFORCE_EQ(tensor.initialized(), true,
                       platform::errors::PreconditionNotMet(
                           "Tensor %s is not initialized.", tensor_name));
     const auto size = tensor.numel();
@@ -710,7 +710,7 @@ void EagerReducer::MarkGroupReady(size_t group_index) {
 
 bool EagerReducer::HasGrad(size_t var_index) {
   auto grad = egr::EagerUtils::mutable_grad(tensors_[var_index]);
-  if (grad && grad->is_initialized()) {
+  if (grad && grad->initialized()) {
     return true;
   } else {
     return false;

paddle/fluid/eager/grad_node_info.cc

@@ -125,7 +125,7 @@ void GradNodeBase::SetGradInMeta(const paddle::experimental::Tensor& fwd_out,
   auto& meta = metas[0];
   meta.SetStopGradient(fwd_out_meta->StopGradient());
 
-  if (!fwd_out.is_initialized()) {
+  if (!fwd_out.initialized()) {
     VLOG(6)
         << "Skip Configuring GradSlotMeta for uninitialized GradInput Tensor";
     return;
@@ -192,7 +192,7 @@ void GradNodeBase::SetGradInMeta(
       meta.SetStopGradient(fwd_out_meta->StopGradient());
     }
 
-    if (!fwd_out_tensor.is_initialized()) {
+    if (!fwd_out_tensor.initialized()) {
       VLOG(6)
           << "Skip Configuring GradSlotMeta for uninitialized GradInput Tensor";
       return;

paddle/fluid/eager/to_static/run_program_op_node.h

@@ -114,7 +114,7 @@ static void ShareTensorsIntoScope(const std::vector<Tensor> &tensors,
                                   paddle::framework::Scope *scope) {
   for (size_t i = 0; i < tensors.size(); ++i) {
     auto name = tensors[i].name();
-    if (name == "Fake_var" || !tensors[i].is_initialized()) {
+    if (name == "Fake_var" || !tensors[i].initialized()) {
       continue;
     }
     auto *var = scope->Var(name);

paddle/fluid/eager/utils.cc

@@ -446,7 +446,7 @@ void EagerUtils::FillZeroForEmptyGradInputs(
   for (size_t i = 0; i < in_grads->size(); i++) {
     for (size_t j = 0; j < (*in_grads)[i].size(); j++) {
       paddle::experimental::Tensor& grad = (*in_grads)[i][j];
-      if (!grad.is_initialized()) {
+      if (!grad.initialized()) {
         const GradSlotMeta& grad_in_meta = grad_in_metas[i][j];
         PADDLE_ENFORCE(
             grad_in_meta.HasTensorMeta(),

paddle/fluid/pybind/eager_method.cc

@@ -617,7 +617,7 @@ static PyObject* tensor__getitem_index_not_tensor(TensorObject* self,
   // if index is a list, list_select_flag will be true
   bool list_select_flag = false;
   PADDLE_ENFORCE_EQ(
-      self->tensor.is_initialized(), true,
+      self->tensor.initialized(), true,
       platform::errors::InvalidArgument(
           "tensor %s has not been initialized, we can only slice initialized "
           "tensor please init it first with numpy or other tensor.",
@@ -1146,7 +1146,7 @@ static PyObject* tensor__copy_gradient_from(TensorObject* self, PyObject* args,
                                             PyObject* kwargs) {
   EAGER_TRY
   auto src = CastPyArg2Tensor(PyTuple_GET_ITEM(args, 0), 0);
-  if (self->tensor.is_initialized()) {
+  if (self->tensor.initialized()) {
     PADDLE_ENFORCE_EQ(self->tensor.dtype(), src.dtype(),
                       platform::errors::PreconditionNotMet(
                           "Tensor %s has different data type with Tensor %s",

paddle/phi/api/lib/tensor_method.cc

@@ -73,7 +73,7 @@ Tensor::copy_to<phi::dtype::float16>(const Place &target_place) const;
 void Tensor::copy_(const Tensor &src,
                    const phi::Place &target_place,
                    bool blocking) {
-  if (!src.is_initialized()) {
+  if (!src.initialized()) {
     VLOG(8) << "Src is empty, skip copy";
     return;
   }
@@ -81,7 +81,7 @@ void Tensor::copy_(const Tensor &src,
   auto kernel_key_set = ParseKernelKeyByInputArgs(src);
   KernelType kernel_type = ParseKernelTypeByInputArgs(src);
   VLOG(3) << "Deep copy Tensor from " << src.name() << " to " << name();
-  if (is_initialized()) {
+  if (initialized()) {
     PADDLE_ENFORCE_EQ(dtype(),
                       src.dtype(),
                       phi::errors::PreconditionNotMet(