fix_gcc12_error (#52083)

* fix_gcc12_error

* fix gcc12 error

* fix gcc12 error

paddle/fluid/distributed/ps/service/brpc_ps_client.cc

@@ -1638,7 +1638,7 @@ void BrpcPsClient::PushSparseTaskConsume() {
 
       while (!task_queue->Empty() && merge_count < cur_meger_size) {
         ++merge_count;
-        SparseAsyncTask *task;
+        SparseAsyncTask *task = nullptr;
         task_queue->Get(task);
         task_list.push_back(std::shared_ptr<SparseAsyncTask>(task));
       }
@@ -1943,7 +1943,7 @@ void BrpcPsClient::PushDenseTaskConsume() {
         continue;
       }
       ++_async_call_num;
-      DenseAsyncTask *task;
+      DenseAsyncTask *task = nullptr;
       task_queue->Get(task);
       auto *accessor = GetTableAccessor(task->table_id());
       // 设置请求回调

paddle/fluid/framework/details/fetch_async_op_handle.cc

@@ -149,7 +149,7 @@ void FetchAsyncOpHandle::FetchMergedLodTensor(
     phi::DenseTensor *dst_lodtensor) {
   // calc dst type,layout,dim,lod and calc check dim
   proto::VarType::Type new_type = proto::VarType::FP32;
-  phi::DataLayout new_layout;
+  phi::DataLayout new_layout = phi::DataLayout::UNDEFINED;
   framework::DDim new_dim;
   LoD new_lod = src_lodtensors[0]->lod();
 

paddle/fluid/operators/ctc_align_op.h

@@ -33,7 +33,7 @@ class CTCAlignKernel : public framework::OpKernel<T> {
     size_t blank = static_cast<size_t>(ctx.Attr<int>("blank"));
     bool merge_repeated = ctx.Attr<bool>("merge_repeated");
     T* output_data = output->mutable_data<T>(ctx.GetPlace());
-    auto input_dims = input->dims();
+    auto input_dims = phi::vectorize<int>(input->dims());
     const T* input_data = input->data<T>();
 
     // support tensor input, no lod information

paddle/fluid/operators/detection/polygon_box_transform_op.cc

@@ -26,7 +26,7 @@ class PolygonBoxTransformCPUKernel : public framework::OpKernel<T> {
         true,
         platform::errors::InvalidArgument("It must use CUDAPlace."));
     auto* in = ctx.Input<phi::DenseTensor>("Input");
-    auto in_dims = in->dims();
+    auto in_dims = phi::vectorize<int>(in->dims());
     const T* in_data = in->data<T>();
     auto* out = ctx.Output<phi::DenseTensor>("Output");
     T* out_data = out->mutable_data<T>(ctx.GetPlace());

paddle/fluid/operators/detection/roi_perspective_transform_op.cc

@@ -403,7 +403,7 @@ class CPUROIPerspectiveTransformGradOpKernel : public framework::OpKernel<T> {
     auto transformed_width = ctx.Attr<int>("transformed_width");
     auto spatial_scale = ctx.Attr<float>("spatial_scale");
 
-    auto in_dims = in->dims();
+    auto in_dims = phi::vectorize<int>(in->dims());
     int batch_size = in_dims[0];
     int channels = in_dims[1];
     int in_height = in_dims[2];

paddle/fluid/operators/sequence_ops/sequence_enumerate_op.h

@@ -35,7 +35,7 @@ class SequenceEnumerateKernel : public framework::OpKernel<T> {
             "Input(X) phi::DenseTensor of SequenceEnumerateOp does not contain "
             "LoD information."));
 
-    auto in_dims = in->dims();
+    auto in_dims = phi::vectorize<int>(in->dims());
     auto lod0 = in->lod()[0];
     PADDLE_ENFORCE_EQ(
         static_cast<uint64_t>(in_dims[0]),

paddle/fluid/operators/tdm_sampler_op.h

@@ -60,7 +60,7 @@ void TDMSamplerInner(const framework::ExecutionContext &context,
   }
   VLOG(3) << "TDM: sample res length: " << sample_res_length;
 
-  auto travel_dim = travel_lod_tensor.dims();
+  auto travel_dim = phi::vectorize<int>(travel_lod_tensor.dims());
   auto total_sample_nums = input_ids_num * sample_res_length;
 
   // get all data

paddle/phi/kernels/cpu/roi_align_grad_kernel.cc

@@ -81,7 +81,7 @@ void RoiAlignGradKernel(const Context& dev_ctx,
                         int sampling_ratio,
                         bool aligned,
                         DenseTensor* dx) {
-  const auto& in_dims = x.dims();
+  const auto& in_dims = phi::vectorize<int>(x.dims());
   int channels = in_dims[1];
   int height = in_dims[2];
   int width = in_dims[3];