(tensor<f32>, tensor<!tf_type.variant>, tensor<i1>) -> tensor<f32>
    tf_device.return %10 : tensor<f32>
  }) {device = "DEVICE_ALIAS_1"} : () -> tensor<f32>
  %m = "tf_device.launch"() ( {
    %11 = "tf.opM"(%input_2, %input_4, %9) :
      (tensor<!tf_type.resource>, tensor<!tf_type.variant>, tensor<i1>)
        -> tensor<!tf_type.resource>
    tf_device.return %11 : tensor<!tf_type.resource>

	"nop\x00nou\x00nqo\x00nrblnrb\x00nsk\x00nsn\x00nso\x00nss\x00ntm\x00ntr" +
	"\x00nui\x00nup\x00nus\x00nuv\x00nux\x00nvavnwb\x00nxq\x00nxr\x00nyyanym" +
	"\x00nyn\x00nzi\x00occiogc\x00ojjiokr\x00okv\x00omrmong\x00onn\x00ons\x00" +
	"opm\x00orrioro\x00oru\x00osssosa\x00ota\x00otk\x00ozm\x00paanpag\x00pal" +
	"\x00pam\x00pap\x00pau\x00pbi\x00pcd\x00pcm\x00pdc\x00pdt\x00ped\x00peo" +
	"\x00pex\x00pfl\x00phl\x00phn\x00pilipil\x00pip\x00pka\x00pko\x00plolpla" +