%2 = "tf._XlaRecvAtHost"(%1) {device_ordinal = 0 : i64, key = "host_compute_channel_0_0_args"} : (tensor<3x!tf_type.string>) -> tensor<f32>
      %3 = "tf.Identity"(%2) : (tensor<f32>) -> tensor<f32>
      "tf._XlaSendFromHost"(%3, %1) {device_ordinal = 0 : i64, key = "host_compute_channel_0_0_retvals"} : (tensor<f32>, tensor<3x!tf_type.string>) -> ()
      tf_device.return
    }) {device = "/job:worker/replica:0/task:0/device:CPU:0"} : () -> ()

  );

  TF_DerivedOperandTypeListAttr Targs = TF_DerivedOperandTypeListAttr<0>;
  TF_DerivedResultTypeListAttr Tresults = TF_DerivedResultTypeListAttr<0>;
}

def TF__XlaSendFromHostOp : TF_Op<"_XlaSendFromHost", [DeclareOpInterfaceMethods<TF_GetResourceInstanceInterface>, TF_SendSideEffect]> {
  let summary = "A placeholder op to send values to a running XLA computation.";

  let arguments = (ins