[QNN EP] Minor fix weight name missing when not valid QDQ node group (microsoft#25887)

### Description
Minor fix weight name missing when not valid QDQ node group

### Motivation and Context
Some quantized model failed QDQ node group validation, the weights then won't be folded as initializer. QNN EP failed to handle the dynamic weights here due to the transpose op input name look up. This change make sure we process the weights tensor before adding transposes.

Author: qti-yuduo

onnxruntime/core/providers/qnn/builder/opbuilder/conv_op_builder.cc

@@ -245,6 +245,12 @@ Status ConvOpBuilder::ProcessConv2D3DInputs(QnnModelWrapper& qnn_model_wrapper,
       bool is_graph_input = qnn_model_wrapper.IsGraphInput(input1_name);
       LOGS(logger, VERBOSE) << "Add HWCN Transpose node after input: " << input1_name;
 
+      if (!qnn_model_wrapper.IsQnnTensorWrapperExist(input1_name)) {
+        QnnTensorWrapper weight_tensor_wrapper;
+        ORT_RETURN_IF_ERROR(qnn_model_wrapper.MakeTensorWrapper(inputs[1], weight_tensor_wrapper));
+        ORT_RETURN_IF_NOT(qnn_model_wrapper.AddTensorWrapper(std::move(weight_tensor_wrapper)), "Failed to add weight tensor.");
+      }
+
       if (conv_type == OnnxConvType::kConv) {
         ORT_RETURN_IF_ERROR(qnn_model_wrapper.AddNchwToHwcnTranspose(node_unit.Index(),
                                                                      input1_name,
@@ -425,7 +431,7 @@ Status ConvOpBuilder::ProcessConv1DInputs(QnnModelWrapper& qnn_model_wrapper,
 
   //
   // Input 1: weight
-  // We need to first reshape the weight inorder to handle 1D convolutions with the Conv2d operator.
+  // We need to first reshape the weight in order to handle 1D convolutions with the Conv2d operator.
   // Next, we have to transpose the weight because ORT layout transformations do not change the weight layout.
   //
   {
@@ -511,6 +517,12 @@ Status ConvOpBuilder::ProcessConv1DInputs(QnnModelWrapper& qnn_model_wrapper,
       ORT_RETURN_IF(input_info.quant_param.IsPerChannel(),
                     "Non-constant Conv inputs only support per-tensor quantization");
 
+      if (!qnn_model_wrapper.IsQnnTensorWrapperExist(input1_name)) {
+        QnnTensorWrapper weight_tensor_wrapper;
+        ORT_RETURN_IF_ERROR(qnn_model_wrapper.MakeTensorWrapper(inputs[1], weight_tensor_wrapper));
+        ORT_RETURN_IF_NOT(qnn_model_wrapper.AddTensorWrapper(std::move(weight_tensor_wrapper)), "Failed to add weight tensor.");
+      }
+
       bool is_graph_input = qnn_model_wrapper.IsGraphInput(input1_name);
       LOGS(logger, VERBOSE) << "Adding Reshape (to 2D) and HWCN Transpose node after input: " << input1_name;
       ORT_RETURN_IF_ERROR(qnn_model_wrapper.AddReshapeNode(input1_name,