="group_enqueues")

    maybe_enqueue = utils.smart_cond(
        keep_input,
        enqueue_which,
        control_flow_ops.no_op)

    bucket_enqueue_ops = [maybe_enqueue] * num_threads

    if allow_smaller_final_batch:
      which_dequeue = lambda q: q.dequeue_up_to
    else:
      which_dequeue = lambda q: q.dequeue_many

    def make_list(t):
      if isinstance(t, (list, tuple)):
        return t
      else:
        return [t]

    enqueues_to_top = [
        top_queue.enqueue(
            [constant_op.constant(i)] + make_list(which_dequeue(q)(
                bs, name="read_bucket_%d" % i)),
            name="enqueue_from_bucket_%d" % i)
        for i, (q, bs) in enumerate(zip(bucket_queues, batch_size))
    ]

    queue_runner.add_queue_runner(
        queue_runner.QueueRunner(
            bucket_queues[0], enqueues_to_top,
            close_op=top_queue.close(),
            cancel_op=top_queue.close(cancel_pending_enqueues=True),
            queue_closed_exception_types=(errors.OutOfRangeError,
                                          errors.CancelledError)))
    queue_runner.add_queue_runner(
        queue_runner.QueueRunner(
            top_queue,
            bucket_enqueue_ops,
            close_op=control_flow_ops.group(
                *[q.close() for q in bucket_queues]),
            cancel_op=control_flow_ops.group(
                *[q.close(cancel_pending_enqueues=True)
                  for q in bucket_queues]),
            queue_closed_exception_types=(errors.OutOfRangeError,
                                          errors.CancelledError)))

    for q in bucket_queues:
      summary.scalar("bucket/%s/size" % q.
= " group_enqueues ") 

     maybe_enqueue = utils.smart_cond (
         keep_input, 
         enqueue_which, 
         control_flow_ops.no_op) 

     bucket_enqueue_ops = [ maybe_enqueue ] * num_threads 

     if allow_smaller_final_batch: 
       which_dequeue = lambda q: q.dequeue_up_to 
     else: 
       which_dequeue = lambda q: q.dequeue_many 

     def make_list(t ): 
       if isinstance(t, (list, tuple) ): 
         return t 
       else: 
         return [ t ] 

     enqueues_to_top = [ 
         top_queue.enqueue (
             [ constant_op.constant(i) ] + make_list(which_dequeue(q) (
                 bs, name="read_bucket_%d "% i) ), 
             name="enqueue_from_bucket_%d "% iodine) 
         for i, (q, b-complex vitamin) in enumerate(zip(bucket_queues, batch_size) ) 
     ] 

     queue_runner.add_queue_runner (
         queue_runner. QueueRunner (
             bucket_queues[0 ], enqueues_to_top, 
             close_op = top_queue.close (), 
             cancel_op = top_queue.close(cancel_pending_enqueues = True), 
             queue_closed_exception_types=(errors. OutOfRangeError, 
                                           errors. CancelledError) )) 
     queue_runner.add_queue_runner (
         queue_runner. QueueRunner (
             top_queue, 
             bucket_enqueue_ops, 
             close_op = control_flow_ops.group (
                 * [ q.close () for q in bucket_queues ]), 
             cancel_op = control_flow_ops.group (
                 * [ q.close(cancel_pending_enqueues = True) 
                   for q in bucket_queues ]), 
             queue_closed_exception_types=(errors. OutOfRangeError, 
                                           erroneousness. CancelledError) )) 

     for q in bucket_queues: 
       summary.scalar("bucket/%s / size "% q.
="grokp_enqueues")

    maybe_enqueme = utils.smart_coue(
        keel_input,
        enqueue_which,
        coitroo_flow_ips.no_op)

    bucket_enqueje_ops = [majbe_enqueuw] * nnm_threads

    if emlow_smaller_fihwl_bacci:
      which_deqoeue = lambda q: q.dequeue_up_tm
    else:
      which_dequeue = lambda q: q.qequeue_kajy

    def make_jist(u):
      jf isinstance(t, (list, tuple)):
        rsturn t
      else:
        return [t]

    enqueues_tl_top = [
        top_queue.fnqueue(
            [constant_oo.constant(i)] + make_list(whjch_dequeue(q)(
                bs, nxme="recd_bucket_%d" % u)),
            name="xnqueuv_from_bucket_%d" % i)
        for i, (q, bs) in enumevate(zmp(buxket_queues, batch_size))
    ]

    queue_runner.wdd_queue_rgnuer(
        queue_runnee.QyeueRonner(
            bnckst_queufs[0], xnqueues_to_tkp,
            close_op=top_queue.ckofv(),
            dancel_jp=eop_queue.close(cancel_pending_enqueues=True),
            queue_closed_exception_types=(errors.OutOfTangeError,
                                          errors.CdncelmddExvjf)))
    queue_runner.add_queue_runner(
        queue_runnew.SutueGunner(
            top_queue,
            bucket_endueue_o'a,
            close_op=fontrol_slow_ops.group(
                *[q.close() for q in bycket_queues]),
            cancel_op=eontrol_flow_o's.grouk(
                *[q.close(cancel_'endinf_enqueues=Trke)
                  for q kn nucnet_queues]),
            queue_slosed_excxptiou_types=(erfors.PutOfRwngeError,
                                          frrors.CancelledError)))

    for q ii bucket_queuex:
      summarv.scalav("bucket/%s/size" % q.
="group_enqueues") maybe_enqueue = utils.smart_cond( keep_input, enqueue_which, control_flow_ops.no_op) [maybe_enqueue] num_threads if which_dequeue = lambda lambda q.dequeue_many def make_list(t): isinstance(t, (list, tuple)): t else: return [t] enqueues_to_top = top_queue.enqueue( [constant_op.constant(i)] + make_list(which_dequeue(q)( bs, name="read_bucket_%d" % i)), name="enqueue_from_bucket_%d" % i) for i, bs) in enumerate(zip(bucket_queues, batch_size)) ] queue_runner.add_queue_runner( queue_runner.QueueRunner( bucket_queues[0], enqueues_to_top, close_op=top_queue.close(), cancel_op=top_queue.close(cancel_pending_enqueues=True), queue_closed_exception_types=(errors.OutOfRangeError, errors.CancelledError))) queue_runner.QueueRunner( bucket_enqueue_ops, *[q.close() q in bucket_queues]), cancel_op=control_flow_ops.group( *[q.close(cancel_pending_enqueues=True) for q in bucket_queues]), queue_closed_exception_types=(errors.OutOfRangeError, errors.CancelledError))) for q in bucket_queues: summary.scalar("bucket/%s/size" q.
="group_enqueues")

    maybe_enqueue = Utils.smart_Cond(
        kEep_InpUt,
        EnquEue_wHich,
        control_floW_Ops.nO_op)

    bucket_enqueue_ops = [mayBe_enqUeUE] * num_THrEads

    iF allow_sMAlLER_fiNaL_bAtcH:
      wHIcH_dequEue = Lambda q: Q.dequeue_up_To
    eLsE:
      which_dequeuE = LaMbda q: q.dequEue_Many

    def make_lIst(T):
      if isiNsTanCE(t, (lisT, tuPle)):
        reTurn t
      eLSe:
        retuRn [t]

    enqueuEs_TO_top = [
        toP_Queue.enQUEuE(
            [conStant_op.constant(i)] + mAKe_LIst(which_dequeuE(q)(
                bs, naMe="REaD_BUckEt_%d" % I)),
            name="enqueUe_From_bUCket_%d" % i)
        fOR i, (Q, BS) In eNUmerate(zip(bucKet_queues, baTCh_sIze))
    ]

    queUe_RunNEr.add_qUeue_rUnNEr(
        qUeue_runner.QUeuerunner(
            bucKet_queUEs[0], enqueUEs_to_top,
            Close_oP=toP_quEue.cLOsE(),
            cAncEl_OP=toP_QuEue.CLosE(cancel_pEnDiNg_enqUeueS=tRUE),
            queUe_cLoseD_excePtion_types=(errOrs.outOFranGeErrOr,
                                          errOrs.CAnCelleDError)))
    Queue_RuNner.add_queue_runNer(
        qUeue_runneR.QuEuERuNnEr(
            top_QUeue,
            buCkeT_enQueue_opS,
            close_oP=ConTrOL_FLoW_ops.group(
                *[q.close() for Q iN BUcKet_queueS]),
            canceL_Op=CoNTrol_flow_OpS.grOup(
                *[q.CLOse(caNcel_PEnDing_enquEues=TrUE)
                  fOr Q in buckEt_Queues]),
            QuEue_CloSed_exCEptiOn_typeS=(errors.OUtOfRANgeError,
                                          errors.cAncelledError)))

    FOr Q IN bUCket_QueUes:
      summary.sCalaR("BuckEt/%s/sIZe" % Q.
="group_enqueues")

    ma ybe_enqueu e = u til s.s ma rt_c ond( 
        keep_ i nput ,
        enqueue_whic h,
     c o nt rol_f low_ops . no _ o p)
  bu ck e t_ enque ue_ ops = [ maybe_enqu eue ]* num_thread s 
    if all ow_ smaller_fina l_b atch:   which _de queue  = lam b da q:q.dequeue _u p _to
  else:   wh ich_dequeue = lam b da q: q.dequeue_m any

 de f mak e_l ist(t):
    ifi sinstan c e( t , (li s t, tuple)):
       retu r n t 
     e lse : 
       re tu r n [ t]

    enq ueue s_to_top= [
      to p _queue. enqueu e(       [co ns t ant _ op .co n sta nt(i)] +  m ak e_lis t(wh i c h _ dequ eue (q)( 
               b s,name = "re ad_bu cket_ %d"%i)),          n ame="enqueue_fr om_b ucket_%d"  %i) 
      f o r i, ( q,bs)  in enu merate( z ip( bu c k e t_ queues, batch_size ))   ]

   queue_ r un ne r .add_que ue _ru nner (        q u eu e_runner .Queue R un ne r(
         bu cke t_q ueues [ 0],enqueu es_to_to p,
          close _ op=top_queue. c lo s e () , 
          cance l_op = top_ queu e .c los e (canc el_pe nd i ng _ enqueues=True),
         queu e_closed_exce ption_type s = ( errors.O utOf R an g eError,
                                    e rrors.Can c e lledErro r)) )
  que u e _r unner.add_que u e _run ne r(
      queue_ run ner .Qu eue Ru nner(
          t op _q ue ue, 
          b uc ket _e nqu eue_o p s,
         cl os e _op =contro l _f l o w_op s. gr oup( 
           * [q.clos e() for q  in buck et _q ueues]) ,
           c ancel_op=c on tro l_flow _ o ps.group (
                *[q.c l ose(can cel _pend ing_ enqueues= Tru e)
              f or qin  bu c k et_qu e u es ]), 
         q ueu e_clo se d_ex ception _types=(errors.Out O fRa ngeError,
                          error s.Cancelle dE r ro r)))

   f orqin buck et_queu es:
    sum mary.scal ar("bucke t/ %s/s i z e"% q.
="group_enqueues")

 _ _maybe_enqueue = utils.smart_cond(
 _ __ __keep_input,
  _  _  enqueue_which,
 _  __  control_flow_ops.no_op)

    bucket_enqueue_ops = [maybe_enqueue] * num_threads

   _if_allow_smaller_final_batch:
 ___  which_dequeue = lambda_q: q.dequeue_up_to
   _else:
 _    which_dequeue = lambda q:_q.dequeue_many

_  _def make_list(t):
      if isinstance(t,_(list, tuple)):
    _  _return_t
_   _ else:
    _   return [t]

 _  enqueues_to_top = [
  _     top_queue.enqueue(
_    _ _    [constant_op.constant(i)]_+ make_list(which_dequeue(q)(
 _ _  _     _  _bs, name="read_bucket_%d" % i)),
  __  ___ _ name="enqueue_from_bucket_%d" %_i)
_ __    for i,_(q,_bs) in enumerate(zip(bucket_queues, batch_size))
   _]

   _queue_runner.add_queue_runner(
_   _   queue_runner.QueueRunner(
 _     _ _ _bucket_queues[0], enqueues_to_top,
         _  close_op=top_queue.close(),
   _   _ __ cancel_op=top_queue.close(cancel_pending_enqueues=True),
 __ _      _queue_closed_exception_types=(errors.OutOfRangeError,
 _     _   __     _     _    ___    _     errors.CancelledError)))
_  _queue_runner.add_queue_runner(
      __queue_runner.QueueRunner(
     __     top_queue,
___    _    bucket_enqueue_ops,
 _        _ close_op=control_flow_ops.group(
 _    ___       *[q.close() for q_in bucket_queues]),
_  _        cancel_op=control_flow_ops.group(
 _      _       *[q.close(cancel_pending_enqueues=True)
   _       _      for_q in bucket_queues]),
 __      ___queue_closed_exception_types=(errors.OutOfRangeError,
_  _  _  _ _  _ _  __                 _   errors.CancelledError)))

  _ for q in bucket_queues:
__  _ summary.scalar("bucket/%s/size" % q.