pm.addNestedPass<mlir::func::FuncOp>(
      mlir::quant::stablehlo::CreateConvertTFQuantOpsToMHLOPass());
  pm.addPass(mlir::createCanonicalizerPass());

  // TF -> StableHLO legalization.
  // Skip StatefulPartitionedCall to preserve aliased functions.
  mlir::odml::AddLegalizeTFToStablehloPasses(pm, /*skip_quantization_ops=*/true,
                                             /*skip_resize=*/false,

  // CHECK: return %[[SUBGRAPH_1]] : tensor<1024x3xf32>
  // CHECK: }
}

// -----

// main function contains PartitionedCall and StatefulPartitionedCall ops which
// is used to preserve aliased functions. This test make sure stablehlo ops in
// each PartitionedCall functions are lifted.

//         dtype: DT_FLOAT
//         tensor_shape: {
//         }
//       }
//     }
//     outputs: {
//       key  : "output_0"
//       value: {
//         name : "StatefulPartitionedCall:0"
//         dtype: DT_FLOAT
//         tensor_shape: {
//         }
//       }
//     }
//     method_name: "tensorflow/serving/predict"
//   }
// }

  }
}

TF::StatefulPartitionedCallOp MakeFuncCaller(
    mlir::OpBuilder& builder, const Location& loc, func::FuncOp func,
    const llvm::SetVector<Value>& operands) {
  // Constructs a tf.StatefulPartitionedCall to the function provided in 'func'
  // using the operands in 'operands'. Assumes the insertion point on builder is
  // already set.
  auto symbol =

  // CHECK: [[results_0:%.*]]:2 = tfrt.call @callee([[chain]]
  // CHECK-SAME: (!tfrt.chain, !tfrt_fallback.tf_tensor) -> (!tfrt.chain, !tfrt_fallback.tf_tensor)
  %1 = "tf.StatefulPartitionedCall"(%0) {config = "", config_proto = "", executor_type = "", f = @callee} : (tensor<i32>) -> (tensor<i32>)
  // CHECK-NEXT: [[results_1:%.*]]:2 = tfrt.call @callee([[chain]]

    return llvm::isa_and_nonnull<mlir::TF::StatefulPartitionedCallOp>(op)
               ? mlir::WalkResult::interrupt()
               : mlir::WalkResult::advance();
  });
  if (result.wasInterrupted()) {
    // StatefulPartitionedCall ops are not supported by the tflite runtime.
    mlir::TFL::AttachErrorCode(
        module.emitError(
            "The Graph contains unsupported `StatefulPartionedCallOp`(s), will "

  // TPUCompilationResultsOp.
  if (op->hasAttr(kTpuCompilationStatus)) {
    op->setAttr(kTpuCompilationStatus, attr);
  }
}

// A helper class to inline TF::StatefulPartitionedCall ops
struct Inliner : public InlinerInterface {
  Inliner(OpBuilder& builder, SymbolTable& symbol_table)
      : InlinerInterface(builder.getContext()),
        builder(builder),

      result.replaceAllUsesWith(if_op.getOperand(then_aliased_input + 1));
    }
  }
  if_op.replaceAllUsesWith(new_if);
  if_op.erase();
  return success();
}

// Handles stack usage by a tf.StatefulPartitionedCall or a tf.PartitionedCall.
// It will first check if the callee was previously handled, and try to reuse
// that result if so. Otherwise, it will clone and convert the callee function,

  // CHECK: [[results_0:%.*]] = call @callee(
  // CHECK-SAME: (!tf_mlrt.tensor) -> !tf_mlrt.tensor
  %1 = "tf.StatefulPartitionedCall"(%0) {config = "", config_proto = "", executor_type = "", f = @callee} : (tensor<i32>) -> (tensor<i32>)
  // CHECK-NEXT: [[results_1:%.*]] = call @callee(
  // CHECK-SAME: (!tf_mlrt.tensor) -> !tf_mlrt.tensor

                                                arg_buffer_size_is_fixed(i)};
    }
  }
  UpdateFuncType(func);
}

// Holds information about a decomposed callee function for
// PartitionedCall/StatefulPartitionedCall.
struct PartitionedCallDecompositionInfo {
  bool signature_change;
  func::FuncOp decomposed_callee;
  llvm::SmallDenseMap<int64_t, int64_t> buffer_arg_to_size_arg;