fix -Werror=maybe-uninitialized (#51608)

paddle/fluid/operators/detection/multiclass_nms_op.cc

@@ -361,7 +361,7 @@ class MultiClassNMSKernel : public framework::OpKernel<T> {
     auto index = ctx.Output<phi::DenseTensor>("Index");
     bool has_roisnum = ctx.HasInput("RoisNum") ? true : false;
     auto rois_num = ctx.Input<phi::DenseTensor>("RoisNum");
-    auto score_dims = scores->dims();
+    auto score_dims = phi::vectorize<int>(scores->dims());
     auto score_size = score_dims.size();
     auto& dev_ctx = ctx.template device_context<phi::CPUContext>();
 

paddle/fluid/operators/fused/fusion_repeated_fc_relu_op.cc

@@ -153,7 +153,7 @@ class FusionRepeatedFCReluKernel : public framework::OpKernel<T> {
     auto place = ctx.GetPlace();
     int weight_sz = static_cast<int>(weights.size());
 
-    auto i_dims = in->dims();
+    auto i_dims = phi::vectorize<int>(in->dims());
     const auto& w_dims = weights[0]->dims();
     phi::jit::matmul_attr_t attr;
     attr.m = i_dims[0];

paddle/fluid/pybind/tensor_py.h

@@ -689,7 +689,7 @@ void _sliceCompute(const phi::DenseTensor *in,
                    const std::vector<int> &axes,
                    const std::vector<int> &starts) {
   auto &eigen_place = *ctx.eigen_device();
-  auto out_dims = out->dims();
+  auto out_dims = phi::vectorize<int>(out->dims());
   auto in_dims = in->dims();
 
   auto offsets = Eigen::DSizes<Eigen::DenseIndex, D>();

paddle/phi/kernels/cpu/matrix_nms_kernel.cc

@@ -255,7 +255,7 @@ void MatrixNMSKernel(const Context& ctx,
                      DenseTensor* out,
                      DenseTensor* index,
                      DenseTensor* roisnum) {
-  auto score_dims = scores.dims();
+  auto score_dims = phi::vectorize<int>(scores.dims());
   auto batch_size = score_dims[0];
   auto num_boxes = score_dims[2];
   auto box_dim = bboxes.dims()[2];

paddle/phi/kernels/cpu/multiclass_nms3_kernel.cc

@@ -496,7 +496,7 @@ void MultiClassNMSKernel(const Context& ctx,
                          DenseTensor* nms_rois_num) {
   bool return_index = index != nullptr;
   bool has_roisnum = rois_num.get_ptr() != nullptr;
-  auto score_dims = scores.dims();
+  auto score_dims = phi::vectorize<int>(scores.dims());
   auto score_size = score_dims.size();
 
   std::vector<std::map<int, std::vector<int>>> all_indices;

paddle/phi/kernels/sparse/cpu/sparse_utils_kernel.cc

@@ -258,7 +258,7 @@ void CooToDenseCPUKernel(const CPUContext& dev_ctx,
   const auto dense_dims = x.dims();
   const auto indices = x.indices();
   const auto values = x.values();
-  const auto indices_dims = indices.dims();
+  const auto indices_dims = phi::vectorize<int>(indices.dims());
   int64_t sparse_dim = indices_dims[0];
   if (indices_dims.size() == 1) {
     sparse_dim = 1;