attributes {tf_saved_model.exported_names = ["main"]} {
  %0 = "tf.VarHandleOp"() {device = "/device:CPU:0", container = "", shared_name = "variable"} : () -> tensor<!tf_type.resource<tensor<1x3xf32>>>
  %1 = "tf.XlaLaunch"(%arg0, %0) {device = "/device:GPU:0", function = @xla_func, operandSegmentSizes = array<i32: 0, 2, 0>} : (tensor<1x3xf32>, tensor<!tf_type.resource<tensor<1x3xf32>>>) -> tensor<*xf32>
  func.return  %1 : tensor<*xf32>

}

// parent region.
std::unique_ptr<OperationPass<ModuleOp>> CreateXlaInlineDeviceOpsPass();

// Creates a pass that rewrites partitioned calls with `_xla_compile_device
// type` with `tf.XlaLaunch` ops.
std::unique_ptr<OperationPass<ModuleOp>> CreateXlaRewritePass();

// Create a pass that validates the input graph to the CPU/GPU bridge.
std::unique_ptr<OperationPass<ModuleOp>> CreateXlaValidateInputsPass();