Suppress maybe used uninitialized warning as being false alert (#20886)

### Description
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### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

It breaks the python package pipeline.
A new run:

https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=477415&view=logs&s=d66927fc-650e-5e6f-874c-ae9229c1e7e4

---------

Co-authored-by: Your Name <[email protected]>

onnxruntime/contrib_ops/cuda/quantization/moe_quantization.cc

@@ -54,6 +54,11 @@ Status QMoE::ComputeInternal(OpKernelContext* context) const {
   const Tensor* fc3_scales_optional = context->Input<Tensor>(9);
   const Tensor* fc3_experts_bias_optional = context->Input<Tensor>(10);
 
+#if defined(__GNUC__)
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wmaybe-uninitialized"  // Mute "maybe used uninitialized" warning for MoEParameters.
+#endif
+
   MoEParameters moe_params;
   MoEQuantType quant_type = MoEQuantType::UINT4;
   ORT_RETURN_IF_ERROR(CheckInputs(moe_params, quant_type, input, router_probs, fc1_experts_weights,
@@ -135,6 +140,10 @@ Status QMoE::ComputeInternal(OpKernelContext* context) const {
       reinterpret_cast<int*>(expert_for_source_row.get()), static_cast<int>(moe_params.num_rows),
       static_cast<int>(moe_params.hidden_size), static_cast<int>(k_), Stream(context));
 
+#if defined(__GNUC__)
+#pragma GCC diagnostic pop
+#endif
+
   return Status::OK();
 }