fix a skipped shape infer code (#6049)

### Description
<!-- - Describe your changes. -->

### 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. -->

Signed-off-by: Liqun Fu <liqfu@microsoft.com>

onnx/shape_inference/implementation.cc

@@ -488,29 +488,29 @@ class ShapeInferenceImplBase {
           ProcessCall(n, *(iter->second), ctx);
         } else {
           has_unsupported_op = true;
+          return;
         }
       } else {
         has_unsupported_op = true;
+        return;
       }
-      if (!has_unsupported_op) {
-        for (int i = 0; i < n.output_size(); ++i) {
-          // skip type and shape propagation for missing optional outputs.
-          if (!n.output(i).empty())
-            UpdateType(n.output(i), ctx.getOutputType(i));
-        }
-        // Constant values are tracked to improve inference/checking for subsequent nodes.
-        ProcessConstant(n);
-        // If data-propagation is enabled, partial-evaluation (aka data-propagation) is performed
-        // to improve inference/checking for subsequent nodes.
-        if (options.enable_data_propagation && schema && schema->has_data_propagation_function()) {
-          if (generated_shape_data_by_name == nullptr) {
-            fail_shape_inference(
-                "Container for generated shape data cannot be nullptr when enable_data_propagation option is set.");
-          }
-          DataPropagationContextImpl data_propagation_ctx(
-              n, value_types_by_name, input_data_by_name, *generated_shape_data_by_name);
-          schema->GetDataPropagationFunction()(data_propagation_ctx);
+      for (int i = 0; i < n.output_size(); ++i) {
+        // skip type and shape propagation for missing optional outputs.
+        if (!n.output(i).empty())
+          UpdateType(n.output(i), ctx.getOutputType(i));
+      }
+      // Constant values are tracked to improve inference/checking for subsequent nodes.
+      ProcessConstant(n);
+      // If data-propagation is enabled, partial-evaluation (aka data-propagation) is performed
+      // to improve inference/checking for subsequent nodes.
+      if (options.enable_data_propagation && schema && schema->has_data_propagation_function()) {
+        if (generated_shape_data_by_name == nullptr) {
+          fail_shape_inference(
+              "Container for generated shape data cannot be nullptr when enable_data_propagation option is set.");
         }
+        DataPropagationContextImpl data_propagation_ctx(
+            n, value_types_by_name, input_data_by_name, *generated_shape_data_by_name);
+        schema->GetDataPropagationFunction()(data_propagation_ctx);
       }
     }
     ONNX_CATCH(const ONNX_NAMESPACE::InferenceError& ex) {