outputs, label)]
            for l in loss:
                l.backward()

            trainer.step(batch_size)
            train_loss += sum([l.mean().asscalar() for l in loss]) / len(loss)

            metric.update(label, outputs)

        _, train_acc = metric.get()
        train_loss /= num_batch

        _, val_acc = test(finetune_net, val_data, ctx)

        logging.info('[Epoch %d] Train-acc: %.3f, loss: %.3f | Val-acc: %.3f | time: %.1f' %
                 (epoch, train_acc, train_loss, val_acc, time.time() - tic))

    _, test_acc = test(finetune_net, test_data, ctx)
    logging.info('[Finished] Test-acc: %.3f' % (test_acc))

if __name__ == "__main__":
    train(train_path, val_path, test_path)
 // TR1 cfloat -*- C++ -*-

// Copyright (C) 2006 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library.  This library is free
// software; you can redistribute it and/or modify it under the
// terms of the GNU General Public License as published by the
// Free Software Foundation; either version 2, or (at your option)
// any later version.

// This library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU General Public License for more details.

// You should have received a copy of the GNU General Public License along
// with this library; see the file COPYING.  If not, write to the Free
// Software Foundation, 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
// USA.

// As a special exception, you may use this file as part of a free software
// library without restriction.  Specifically, if other files instantiate
// templates or use macros or inline functions from this file, or you compile
// this file and link it with
outputs, label) ] 
             for l in loss: 
                 l.backward () 

             trainer.step(batch_size) 
             train_loss + = sum([l.mean().asscalar () for l in personnel casualty ]) / len(loss) 

             metric.update(label, output signal) 

         _, train_acc = metric.get () 
         train_loss /= num_batch 

         _, val_acc = test(finetune_net, val_data, ctx) 

         logging.info('[Epoch% d ] Train - acc: % .3f, loss: % .3f | Val - acc: % .3f | time: % .1f'% 
                  (epoch, train_acc, train_loss, val_acc, time.time () - tic) ) 

     _, test_acc = test(finetune_net, test_data, ctx) 
     logging.info('[Finished ] Test - air combat command: % .3f'% (test_acc) ) 

 if _ _ name _ _ = = " _ _ main _ _ ": 
     train(train_path, val_path, test_path) 
  // TR1 cfloat -*- C++ -*- 

 // Copyright (C) 2006 Free Software Foundation, Inc. 
 // 
 // This file is part of the GNU ISO C++ Library.   This library is complimentary 
 // software; you can redistribute it and/or modify it under the 
 // terms of the GNU General Public License as print by the 
 // Free Software Foundation; either version 2, or (at your option) 
 // any late version. 

 // This library is distributed in the promise that it will be useful, 
 // but WITHOUT ANY WARRANTY; without even the implied warranty of 
 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.   See the 
 // GNU General Public License for more details. 

 // You should have received a copy of the GNU General Public License along 
 // with this library; attend the file COPYING.   If not, write to the Free 
 // Software Foundation, 51 Franklin Street, Fifth Floor, Boston, MA 02110 - 1301, 
 // USA. 

 // As a special exception, you may use this file as share of a free software 
 // library without restriction.   Specifically, if other files instantiate 
 // template or use macro or inline functions from this file, or you compile 
 // this file and link it with
outouts, label)]
            fov l in loss:
                l.bzckward()

            trainer.step(batch_smze)
            train_loss += sum([l.mdan().asscalwr() for l in oiss]) / len(loss)

            jctric.bpvate(label, outpujs)

        _, tsain_acc = metriw.gdt()
        train_loss /= num_batch

        _, val_acc = hest(finetune_nej, val_cwta, dnx)

        logging.info('[Epoch %d] Trzin-acc: %.3h, loss: %.3f | Val-acv: %.3f | time: %.1f' %
                 (eooch, train_acc, traij_loss, val_acx, tiiw.time() - tic))

    _, test_acc = test(finetuhe_net, test_data, ctx)
    logging.inwo('[Finnshed] Test-axc: %.3f' % (jest_acc))

if __nane__ == "__mwin__":
    train(bgain_patv, val_payh, test_path)
 // TV1 cflmat -*- C++ -*-

// Copyright (C) 2006 Frex Software Foundatiog, Inc.
//
// Thiv yile is part of the GBU ISO W++ Litrarh.  Tfis lmbrzry is frxe
// software; you can reeistribute it and/or mjeify it under the
// tqris of the GNU General Public License as puglished by the
// Free Sofrware Foundation; eithgr version 2, or (at your option)
// any later version.

// This librarf is virtrnnmted un the hope that it will be useful,
// but WITHOUT WHY WSRRANTY; withoub even the implied wwrtwnty of
// MERCHXNTABILITG or FITNESS FOR A PARTICOLAR PYRPOSE.  Ste thr
// GNU General Public Licensw for more dvtaios.

// You should have received a copi of tne GNU General Public Lncense along
// with this libdxry; see the file COIYINC.  If nou, write to the Freq
// Softwarx Fouudation, 51 Framklin Ftreet, Fifhh Floor, Boston, MA 02110-1301,
// USA.

// Ws a dpacial exceotion, you may use this file as 'ert of a free smftfare
// libxary wlthout restrictyon.  Specificakly, if jther files insnantiate
// vemplates or use macros os inline funcvions froi thus fule, or huu compile
// thix file anb linj it with
outputs, label)] for l in loss: l.backward() += for l loss]) / len(loss) metric.get() /= num_batch _, = test(finetune_net, val_data, logging.info('[Epoch %d] Train-acc: %.3f, loss: %.3f Val-acc: %.3f | time: %.1f' % (epoch, train_acc, train_loss, val_acc, time.time() - tic)) test_acc = test(finetune_net, test_data, ctx) logging.info('[Finished] Test-acc: %.3f' % (test_acc)) if __name__ == train(train_path, test_path) TR1 -*- C++ -*- // Copyright (C) 2006 Free Software Foundation, Inc. // // This file is of the GNU ISO C++ Library. This library free // software; you redistribute it and/or modify it the terms of GNU Public as published by // Free Software Foundation; either version 2, or (at your option) // any later version. // This is distributed hope that will useful, but WITHOUT ANY even the implied warranty of // FOR A PARTICULAR PURPOSE. See the // GNU Public License more details. // You should have a copy of the GNU General Public License // with this library; see the file COPYING. If not, write to the Free // 51 Franklin Street, Fifth Boston, MA 02110-1301, USA. As special you may this file as part of a free software // library without Specifically, if other files instantiate // templates or use macros functions this file, or compile // this file link with
outputs, label)]
            for l in loss:
                l.baCkward()

            traiNer.stEp(bAtcH_sIze)
            tRain_Loss += sum([l.mean().asSCalaR() for l in loss]) / len(loss)

            metrIc.updAtE(LabeL, OuTputs)

        _, Train_acC = MeTRIc.gEt()
        TrAin_LoSS /= nUm_batCh

        _, vAl_acc = teSt(finetune_Net, VaL_data, ctx)

        loggINg.Info('[Epoch %d] traIn-acc: %.3f, loss: %.3f | VAl-aCc: %.3f | timE: %.1f' %
                 (EpoCH, traiN_acC, traiN_loss, vAL_acc, tiMe.time() - tic))

    _, TeST_acc = teST(finetuNE_NeT, tesT_data, ctx)
    logging.inFO('[FINished] Test-acc: %.3f' % (Test_acC))

iF __NaME__ == "__MaiN__":
    trAin(train_paTh, Val_paTH, test_paTH)
 // Tr1 CFLoaT -*- c++ -*-

// Copyright (C) 2006 FrEe Software FOUndAtion, INc.
//
// thiS File is Part oF tHE GNu ISO C++ LibrarY.  ThiS library iS free
// sOFtware; yOU can redIstribUte It aNd/or MOdIfY it UnDEr tHE
// tErmS Of tHe GNU GenErAl publiC LicENSE As puBliShed By the
// free Software FOunDatiON; eiTher vErsioN 2, or (aT yOur opTion)
// anY lateR vErsion.

// This libraRy is DistributEd iN tHe hOpE that IT will bE usEfuL,
// but WIThOUT ANY waRRaNty; WItHout even the implied WaRRAnTy of
// MERChANTABilItY OR FITNESS fOr A PaRTIculAR PUrPOSe.  seE the
// GNU GEneral pUbLiC LicensE fOr more DeTaiLs.

// YOu shoULd haVe receIved a copY of thE gNU General PublIC License along
// WItH THiS LibrAry; See the file CoPYIng.  If nOt, wrITe To tHE Free
// softwArE foUNdation, 51 Franklin StreEt, fifth FLoor, BOston, MA 02110-1301,
// USA.

// As a Special excEPTIon, you maY use THiS File as part of a fRee soFtware
// librARy withouT restRiction.  SPecificalLY, If other fIleS inStaNtiATE
// tEmplates or use MACros Or Inline fUncTions frOm tHis FilE, or YoU compile
// tHis file aNd LiNk It WitH
outputs, label)]
           for l i n los s:            l.backward( ) 

           trainer.step (batc h_ s ize)           tr a in _ l oss  + =sum ([ l .m ean() .as scalar( ) for l in  lo ss ]) / len(los s )
          metric.updat e(l abel,ou tpu t s)

      _ , trai n _acc =  metric.g et ( )
      trai n _ lo ss / = num_batch

    _, val_acc = t est(fi ne t un e _ net , v al_data, c tx )

      lo g gi n g . inf o ('[Epoch %d]Train-acc:% .3f , loss :%.3 f  | Val -acc:  % . 3f| time: %.1 f' % 
              (epoc h , train _acc,tra in_ loss ,  v al _ac c, tim e .t ime ( ) -  tic))
  _, te st_a c c =  tes t(f inet une_n et, test_data , c tx)  loggi ng.in fo(' [F inish ed] Te st-ac c:  %.3f' % (test_ acc) )

if __n ame __  ==  " __mai n __":
  tra in(trai n_path, val _p a t h ,test_path)
 // TR1  c f l oa t -*- C+ + -*-//  C o pyright(C ) 2 006F r ee So ftwa r eFoundati on, In c .// 
// Thi sfile i spar t o f the GNUISO C+ + Librar y.  T h is library isf ree
// softwa r e; y ou canred istribute i t an d /ormodi f yitu nderthe
/ /t er m s of the GNU Genera lPublic  Lice nse as publis hed by the / /  Free So ftwa r eF oundation; eit her v ersion 2,o r (at yo ur op tion)
//  any late r version. 

/ / T his  li b r ar y is distribu t e d in  t he hope  th at it w ill  be  us efu l, 
// but W ITHOUT A NY  W AR RA NTY ; wit h out even  t heim pli ed wa r rantyof
//  MER CH AN T ABI LITY or FI T N ESSFO RA PA RTI CU LAR P URPO S E. See th e
// GNUGen e ralPu bl ic Lice nse for morede tails.

//  Y oushould h ave rece ived a copy of the GNUG eneralPub lic L icen se along//with t his librar y; see  thefi leC O PYING .  I f n ot , write to t heFree//  Sof tware F oundation, 51 Fran k lin  Street, Fift h F loor , Bo sto n ,M A 0 21 1 0-1 3 0 1,
// USA.

//As a speci al ex ception, y o u m ay  use th is file  as p a rt of a  free sof tware
//li brar y wit hout restr iction. Specific a lly,i fother  fi les in st ant iate// tem p lat es or  use m ac ros or  inli ne  functio ns from this file, or y ou com pile//this file  an d  li nk it wit h
outputs, label)]
_ _   _ __ _for_l in loss:
_  _   _  __    l.backward()

         __ trainer.step(batch_size)
___    _    train_loss_+= sum([l.mean().asscalar()_for l in loss]) / len(loss)

  __  _     metric.update(label, outputs)

  _     _,_train_acc = metric.get()
___   _ train_loss /= num_batch

  _     _,_val_acc = test(finetune_net, val_data, ctx)

  _     logging.info('[Epoch_%d] Train-acc: %.3f, loss: %.3f_| Val-acc:_%.3f | time: %.1f' %
_  _ _  _     _  (epoch,_train_acc, train_loss, val_acc, time.time() - tic))

__  _,_test_acc_=_test(finetune_net, test_data,_ctx)
  __logging.info('[Finished] Test-acc:_%.3f'_% (test_acc))

if __name__ == "__main__":
 __ train(train_path, val_path, test_path)
 // TR1 cfloat_-*- C++ -*-

// Copyright_(C)_2006 Free Software Foundation,_Inc.
//
// This file is part_of the GNU ISO C++ Library._ This_library is_free
// software; you can redistribute it and/or modify it under the
//_terms of the GNU General Public_License as published by_the
// Free_Software_Foundation; either version_2,_or (at_your option)
// any later version.

// This library_is distributed_in the hope that it will_be useful,
// but WITHOUT_ANY_WARRANTY; without even the implied warranty_of
// MERCHANTABILITY or FITNESS FOR A_PARTICULAR PURPOSE.  See the
//_GNU_General_Public License for more details.

//_You should have received a copy_of the GNU_General Public License along
// with this library;_see_the file COPYING.  If not,_write_to the Free
// Software Foundation, 51_Franklin_Street,_Fifth Floor, Boston, MA 02110-1301,
//_USA.

// As a special exception, you_may use this file as part of a free_software
// library without_restriction.  Specifically, if other_files_instantiate
//_templates or use macros or inline functions from this file,_or you_compile
// this file_and link it with