diff --git a/onnxruntime/core/session/provider_bridge_ort.cc b/onnxruntime/core/session/provider_bridge_ort.cc
index 1bb013d0cdc10..b53e70926cd5d 100644
--- a/onnxruntime/core/session/provider_bridge_ort.cc
+++ b/onnxruntime/core/session/provider_bridge_ort.cc
@@ -602,9 +602,7 @@ struct ProviderHostImpl : ProviderHost {
 
   const ONNX_NAMESPACE::ValueInfoProto& ValueInfoProtos__operator_array(const ONNX_NAMESPACE::ValueInfoProtos* p, int index) override { return (*p)[index]; }
 
-  static void xir_shape_infer(ONNX_NAMESPACE::InferenceContext& ctx) {
-    auto* shape = ctx.getAttribute("shape");
-    auto* data_type = ctx.getAttribute("data_type");
+  static int32_t convert_elem_type(const ONNX_NAMESPACE::AttributeProto* data_type) {
     int32_t elemType = 0;
     if (data_type->s() == "float32") {
       elemType = ONNX_NAMESPACE::TensorProto_DataType_FLOAT;
@@ -650,17 +648,43 @@ struct ProviderHostImpl : ProviderHost {
       elemType = ONNX_NAMESPACE::TensorProto_DataType_UINT4;
     } else if (data_type->s() == "int4") {
       elemType = ONNX_NAMESPACE::TensorProto_DataType_INT4;
-    } else {
-      return;
     }
-    ONNX_NAMESPACE::updateOutputElemType(ctx, 0, elemType);
-    if (shape != nullptr) {
-      for (auto i = 0; i < shape->ints_size(); ++i) {
-        ONNX_NAMESPACE::getOutputShape(ctx, 0, ONNX_NAMESPACE::TypeProto::kTensorType)->add_dim()->set_dim_value(shape->ints(i));
+    return elemType;
+  }
+
+  static void xir_shape_infer(ONNX_NAMESPACE::InferenceContext& ctx) {
+    auto num_output = ctx.getNumOutputs();
+    if (num_output == 1) {
+      auto* shape = ctx.getAttribute("shape");
+      auto* data_type = ctx.getAttribute("data_type");
+      if (data_type == nullptr) {
+        std::cerr << "Custom op is missing `data_type` attr." << std::endl;
+        return;
+      }
+      int32_t elemType = convert_elem_type(data_type);
+      ONNX_NAMESPACE::updateOutputElemType(ctx, 0, elemType);
+      if (shape != nullptr) {
+        for (auto i = 0; i < shape->ints_size(); ++i) {
+          ONNX_NAMESPACE::getOutputShape(ctx, 0, ONNX_NAMESPACE::TypeProto::kTensorType)->add_dim()->set_dim_value(shape->ints(i));
+        }
+      } else {
+        // set scalar type.
+        ONNX_NAMESPACE::getOutputShape(ctx, 0, ONNX_NAMESPACE::TypeProto::kTensorType)->clear_dim();
       }
     } else {
-      // set scalar type.
-      ONNX_NAMESPACE::getOutputShape(ctx, 0, ONNX_NAMESPACE::TypeProto::kTensorType)->clear_dim();
+      for (auto idx = 0u; idx < num_output; idx++) {
+        auto* shape = ctx.getAttribute("shape_" + std::to_string(idx));
+        auto* data_type = ctx.getAttribute("data_type_" + std::to_string(idx));
+        if (shape == nullptr || data_type == nullptr) {
+          // this output is optional
+        } else {
+          int32_t elemType = convert_elem_type(data_type);
+          ONNX_NAMESPACE::updateOutputElemType(ctx, idx, elemType);
+          for (auto i = 0; i < shape->ints_size(); ++i) {
+            ONNX_NAMESPACE::getOutputShape(ctx, idx, ONNX_NAMESPACE::TypeProto::kTensorType)->add_dim()->set_dim_value(shape->ints(i));
+          }
+        }
+      }
     }
   }