Remove unused local variables (#23634)

### Description Remove unused local variables ### Motivation and Context To make the code be compatible with the latest ABSL.
microsoft · Feb 11, 2025 · 6cac589 · 6cac589
1 parent 74c778e
commit 6cac589
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Showing 4 changed files with 1 addition and 5 deletions.
diff --git a/onnxruntime/core/providers/cpu/math/einsum_utils/einsum_typed_compute_processor.cc b/onnxruntime/core/providers/cpu/math/einsum_utils/einsum_typed_compute_processor.cc
@@ -363,7 +363,6 @@ Status EinsumTypedComputeProcessor<T>::Run() {
   {
     TensorShapeVector reduced_dims;
     TensorShapeVector preserved_dims;                                           // dims which were not reduced
-    TensorShapeVector preserved_shape;                                          // shape pertaining to only the dims that were preserved (not reduced)
     reduced_dims.reserve(onnxruntime::narrow<size_t>(num_subscript_labels));    // num_subscript_labels is the upper bound. No harm in over-reserving.
     preserved_dims.reserve(onnxruntime::narrow<size_t>(num_subscript_labels));  // num_subscript_labels is the upper bound. No harm in over-reserving.
 

diff --git a/onnxruntime/core/providers/cpu/reduction/reduction_ops.cc b/onnxruntime/core/providers/cpu/reduction/reduction_ops.cc
@@ -789,7 +789,6 @@ bool CommonFastReduceSwitch(OpKernelContext* ctx,
                             fast_reduce_fct* case_rk,
                             fast_reduce_fct* case_krk,
                             fast_reduce_fct* case_rkr) {
-  TensorShapeVector axes;
   const Tensor* input = ctx->Input<Tensor>(0);
   auto reduced_dims = input->Shape().GetDims();
   TensorShapeVector input_axes;
@@ -1055,7 +1054,6 @@ template <typename T>
 std::unique_ptr<Tensor> ReduceSum<T>::Impl(const Tensor& input, gsl::span<const int64_t> reduce_axes,
                                            AllocatorPtr allocator, concurrency::ThreadPool* tp, bool keep_dims,
                                            const TensorShape* input_shape_override) {
-  TensorShapeVector axes;
   TensorShapeVector output_shape, fast_shape, fast_axes;
   TensorShape new_input_shape = input_shape_override == nullptr ? input.Shape() : *input_shape_override;
   auto reduced_dims = new_input_shape.GetDims();

diff --git a/onnxruntime/core/providers/cuda/tensor/gather_elements.cc b/onnxruntime/core/providers/cuda/tensor/gather_elements.cc
@@ -174,8 +174,8 @@ Status GatherElements::ComputeInternal(OpKernelContext* context) const {
   TensorShapeVector input_shape_vec = input_shape.AsShapeVector();
   TensorShapeVector indices_shape_vec = indices_shape.AsShapeVector();
   TensorShapeVector* p_indices_strides_vec = nullptr;
-  TensorShapeVector indices_strides_vec;
 #ifdef ENABLE_STRIDED_TENSORS
+  TensorShapeVector indices_strides_vec;
   if (!indices_tensor->IsContiguous()) {
     indices_strides_vec = ToShapeVector(indices_tensor->Strides());
     p_indices_strides_vec = &indices_strides_vec;

diff --git a/onnxruntime/core/providers/xnnpack/tensor/resize.cc b/onnxruntime/core/providers/xnnpack/tensor/resize.cc
@@ -64,7 +64,6 @@ bool Resize::IsOnnxNodeSupported(const NodeUnit& node_unit,
 
     // check the scale for the second dim is 1 or the size of the second dim matches the input shape.
     // if not, it is not the C dim as a Resize will not change the number of channels.
-    InlinedVector<float> scale(4, 1.0F);
     if (scale_tensor) {
       const Initializer scale_val(*scale_tensor, node_unit.ModelPath());
       const auto scales = scale_val.DataAsSpan<float>();