{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# The codes are modified from https://github.com/deepak112/Keras-SRGAN\n", "\n", "from model import Generator, Discriminator\n", "import numpy as np\n", "from matplotlib import pyplot as plt\n", "from tensorflow.python.keras import backend as K\n", "\n", "from tensorflow.keras.optimizers import Adam\n", "from tensorflow.keras.models import Model\n", "from tensorflow.keras.layers import Input\n", "\n", "import tensorflow as tf\n", "import os\n", "os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\"" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# More information about the source of the data and preprocessing method are avalible in our paper.\n", "X_train = np.load(\"X_train.npy\")\n", "y_train = np.load(\"y_train.npy\")\n", "X_test = np.load(\"X_test.npy\")\n", "y_test = np.load(\"y_test.npy\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(4056, 1, 256, 58)\n", "(4056, 1, 256, 58)\n", "(1984, 1, 256, 58)\n", "(1984, 1, 256, 58)\n" ] } ], "source": [ "print(X_train.shape)\n", "print(y_train.shape)\n", "print(X_test.shape)\n", "print(y_test.shape)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "fs=X_train.shape[2]\n", "ch=X_train.shape[3]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def get_gan_network(discriminator, shape, generator, optimizer):\n", " discriminator.trainable = False\n", " gan_input = Input(shape=shape)\n", " x = generator(gan_input)\n", " gan_output = discriminator(x)\n", " gan = Model(inputs=gan_input, outputs=[x,gan_output])\n", " gan.compile(loss=[\"mse\",\"binary_crossentropy\"],\n", " loss_weights=[1., 5e-4],\n", " optimizer=optimizer)\n", " return gan" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------- Epoch 1 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.4633001685142517 1.2061243057250977 [0.052180685102939606, 0.05174751207232475, 0.8663432002067566]\n", "Loss test\n", "[0.06091763451695442, 0.06047450751066208, 0.8862844705581665]\n", "--------------- Epoch 2 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.6881305575370789 0.6992399096488953 [0.029459087178111076, 0.029072392731904984, 0.7733879089355469]\n", "Loss test\n", "[0.028185183182358742, 0.027789326384663582, 0.791710376739502]\n", "--------------- Epoch 3 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3563421368598938 0.3519001007080078 [0.022904643788933754, 0.021933982148766518, 1.9413237571716309]\n", "Loss test\n", "[0.022301258519291878, 0.021404553204774857, 1.7934106588363647]\n", "--------------- Epoch 4 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.38113757967948914 0.3531765639781952 [0.020838206633925438, 0.019911594688892365, 1.8532251119613647]\n", "Loss test\n", "[0.019869033247232437, 0.018971208482980728, 1.7956552505493164]\n", "--------------- Epoch 5 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3540149927139282 0.4543452858924866 [0.017469065263867378, 0.016697783023118973, 1.5425642728805542]\n", "Loss test\n", "[0.018343999981880188, 0.01764216087758541, 1.403679370880127]\n", "--------------- Epoch 6 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.37980830669403076 0.3469676971435547 [0.017969205975532532, 0.017001036554574966, 1.936340570449829]\n", "Loss test\n", "[0.017586326226592064, 0.01666511595249176, 1.842423439025879]\n", "--------------- Epoch 7 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.4130250811576843 0.4485410153865814 [0.01649112068116665, 0.015544398687779903, 1.8934444189071655]\n", "Loss test\n", "[0.01643941178917885, 0.015611943788826466, 1.6549322605133057]\n", "--------------- Epoch 8 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.37997978925704956 0.4218384623527527 [0.016852911561727524, 0.016146481037139893, 1.4128625392913818]\n", "Loss test\n", "[0.015531262382864952, 0.014855519868433475, 1.3514879941940308]\n", "--------------- Epoch 9 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33048015832901 0.35404103994369507 [0.014197691343724728, 0.013698277994990349, 0.9988259077072144]\n", "Loss test\n", "[0.015453166328370571, 0.015009521506726742, 0.8872883915901184]\n", "--------------- Epoch 10 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.4142870008945465 0.36201897263526917 [0.014115517027676105, 0.013361942023038864, 1.507149338722229]\n", "Loss test\n", "[0.014515098184347153, 0.01375130657106638, 1.527580738067627]\n", "--------------- Epoch 11 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.41508227586746216 0.3472653329372406 [0.013842737302184105, 0.013109082356095314, 1.4673097133636475]\n", "Loss test\n", "[0.013595784083008766, 0.012838499620556831, 1.5145676136016846]\n", "--------------- Epoch 12 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.38761284947395325 0.4368663430213928 [0.014069914817810059, 0.012918001972138882, 2.303826332092285]\n", "Loss test\n", "[0.014009041711688042, 0.012840614654123783, 2.336852788925171]\n", "--------------- Epoch 13 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.4287141263484955 0.3788556754589081 [0.013483509421348572, 0.012728352099657059, 1.510315179824829]\n", "Loss test\n", "[0.013275803998112679, 0.012524416670203209, 1.5027742385864258]\n", "--------------- Epoch 14 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.43548697233200073 0.3478497266769409 [0.011869069188833237, 0.011443059891462326, 0.8520188331604004]\n", "Loss test\n", "[0.012010430917143822, 0.011595474556088448, 0.8299081921577454]\n", "--------------- Epoch 15 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.43745067715644836 0.3900722861289978 [0.012186984531581402, 0.011564064770936966, 1.2458393573760986]\n", "Loss test\n", "[0.012470864690840244, 0.011807447299361229, 1.326827049255371]\n", "--------------- Epoch 16 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33897140622138977 0.3379173278808594 [0.01300646923482418, 0.012424652464687824, 1.1636327505111694]\n", "Loss test\n", "[0.01227149274200201, 0.011693203821778297, 1.1565791368484497]\n", "--------------- Epoch 17 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3371542692184448 0.3501534163951874 [0.011462975293397903, 0.01104319840669632, 0.8395540714263916]\n", "Loss test\n", "[0.012495459988713264, 0.012114732526242733, 0.7614566683769226]\n", "--------------- Epoch 18 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3584851622581482 0.34414681792259216 [0.012629887089133263, 0.012078430503606796, 1.1029139757156372]\n", "Loss test\n", "[0.012711349874734879, 0.012162165716290474, 1.0983679294586182]\n", "--------------- Epoch 19 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3768172860145569 0.32521572709083557 [0.01024639792740345, 0.009914446622133255, 0.6639024019241333]\n", "Loss test\n", "[0.010931654833257198, 0.010589135810732841, 0.685039758682251]\n", "--------------- Epoch 20 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3344726860523224 0.4002547562122345 [0.010988370515406132, 0.010641124099493027, 0.694492757320404]\n", "Loss test\n", "[0.01210644282400608, 0.011622457765042782, 0.9679709672927856]\n", "--------------- Epoch 21 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.5133140087127686 0.3684081435203552 [0.01104411855340004, 0.010368242859840393, 1.351751446723938]\n", "Loss test\n", "[0.011727401055395603, 0.01096357498317957, 1.5276448726654053]\n", "--------------- Epoch 22 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.6404958367347717 0.3695885241031647 [0.011237534694373608, 0.010689287446439266, 1.0964946746826172]\n", "Loss test\n", "[0.011201770976185799, 0.010657578706741333, 1.0883839130401611]\n", "--------------- Epoch 23 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33375972509384155 0.3452262580394745 [0.010074051097035408, 0.00971030443906784, 0.727493166923523]\n", "Loss test\n", "[0.010170434601604939, 0.009824628941714764, 0.6916100978851318]\n", "--------------- Epoch 24 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33042335510253906 0.3180389702320099 [0.009739859960973263, 0.009274685755372047, 0.9303488731384277]\n", "Loss test\n", "[0.010184385813772678, 0.009726757183670998, 0.9152642488479614]\n", "--------------- Epoch 25 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3479878604412079 0.3297319710254669 [0.009721572510898113, 0.009243527427315712, 0.9560902118682861]\n", "Loss test\n", "[0.010223058052361012, 0.009754522703588009, 0.9370728135108948]\n", "--------------- Epoch 26 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3272544741630554 0.32408908009529114 [0.00947772990912199, 0.00916814710944891, 0.6191655397415161]\n", "Loss test\n", "[0.009869100525975227, 0.009555947966873646, 0.6263080835342407]\n", "--------------- Epoch 27 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3579365313053131 0.31878161430358887 [0.01179721113294363, 0.011336778290569782, 0.920866072177887]\n", "Loss test\n", "[0.012846281751990318, 0.012337816879153252, 1.0169295072555542]\n", "--------------- Epoch 28 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3148728609085083 0.3345063626766205 [0.009814156219363213, 0.009520902298390865, 0.5865082740783691]\n", "Loss test\n", "[0.010330548509955406, 0.010033097118139267, 0.5949056148529053]\n", "--------------- Epoch 29 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.35928285121917725 0.34616968035697937 [0.009287543594837189, 0.008990993723273277, 0.5930998921394348]\n", "Loss test\n", "[0.009585178457200527, 0.00930039118975401, 0.5695738196372986]\n", "--------------- Epoch 30 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34545478224754333 0.3307558298110962 [0.009166139177978039, 0.008923430927097797, 0.48541563749313354]\n", "Loss test\n", "[0.009885000996291637, 0.009580250829458237, 0.6094954609870911]\n", "--------------- Epoch 31 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.9615628719329834 0.4256370961666107 [0.00951579213142395, 0.009317763149738312, 0.39605748653411865]\n", "Loss test\n", "[0.009871730580925941, 0.009626973420381546, 0.48951709270477295]\n", "--------------- Epoch 32 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.35295113921165466 0.32400885224342346 [0.009632861241698265, 0.008908764459192753, 1.4481927156448364]\n", "Loss test\n", "[0.010193957015872002, 0.009473476558923721, 1.440966248512268]\n", "--------------- Epoch 33 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3415147662162781 0.3743210434913635 [0.008674169890582561, 0.008210903033614159, 0.9265344142913818]\n", "Loss test\n", "[0.009423580020666122, 0.00894914846867323, 0.9488656520843506]\n", "--------------- Epoch 34 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.33108454942703247 0.3302263021469116 [0.008409496396780014, 0.007940514013171196, 0.9379638433456421]\n", "Loss test\n", "[0.009200270287692547, 0.008767286315560341, 0.8659610748291016]\n", "--------------- Epoch 35 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33418333530426025 0.33950117230415344 [0.008461855351924896, 0.007861167192459106, 1.20137619972229]\n", "Loss test\n", "[0.00934580247849226, 0.008772461675107479, 1.1466830968856812]\n", "--------------- Epoch 36 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31237781047821045 0.33380964398384094 [0.008140018209815025, 0.007733795326203108, 0.8124459981918335]\n", "Loss test\n", "[0.008666315115988255, 0.00826120562851429, 0.810217559337616]\n", "--------------- Epoch 37 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3268812894821167 0.3473111093044281 [0.007878582924604416, 0.007433384656906128, 0.8903970718383789]\n", "Loss test\n", "[0.008758697658777237, 0.008314322680234909, 0.8887456655502319]\n", "--------------- Epoch 38 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3465614318847656 0.33932730555534363 [0.00788194127380848, 0.00742677878588438, 0.9103256464004517]\n", "Loss test\n", "[0.008447764441370964, 0.008001821115612984, 0.8918881416320801]\n", "--------------- Epoch 39 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34187614917755127 0.33478933572769165 [0.00940206553786993, 0.008868034929037094, 1.0680614709854126]\n", "Loss test\n", "[0.009059449657797813, 0.00856176670640707, 0.9953635931015015]\n", "--------------- Epoch 40 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.4567570686340332 0.38846296072006226 [0.009026993066072464, 0.008159050717949867, 1.7358851432800293]\n", "Loss test\n", "[0.009315713308751583, 0.008580825291574001, 1.4697825908660889]\n", "--------------- Epoch 41 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.36305227875709534 0.33236628770828247 [0.007957745343446732, 0.007472431752830744, 0.970626711845398]\n", "Loss test\n", "[0.008354581892490387, 0.007905611768364906, 0.8979465365409851]\n", "--------------- Epoch 42 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33609703183174133 0.5077286958694458 [0.007813329808413982, 0.007348471786826849, 0.9297154545783997]\n", "Loss test\n", "[0.009157589636743069, 0.00872782152146101, 0.8595331907272339]\n", "--------------- Epoch 43 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.330287903547287 0.3328824043273926 [0.007736602798104286, 0.007386542856693268, 0.7001199722290039]\n", "Loss test\n", "[0.008915824815630913, 0.008561342023313046, 0.7089679837226868]\n", "--------------- Epoch 44 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3262159824371338 0.3444320261478424 [0.007770711090415716, 0.007159651722759008, 1.222118616104126]\n", "Loss test\n", "[0.00951651856303215, 0.008923088200390339, 1.186859369277954]\n", "--------------- Epoch 45 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.36197012662887573 0.35596561431884766 [0.007600188720971346, 0.007252907380461693, 0.6945630311965942]\n", "Loss test\n", "[0.008192833513021469, 0.007825445383787155, 0.7347739934921265]\n", "--------------- Epoch 46 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3343694806098938 0.32848605513572693 [0.007604584097862244, 0.007090025581419468, 1.0291169881820679]\n", "Loss test\n", "[0.008147362619638443, 0.007666363846510649, 0.9619956612586975]\n", "--------------- Epoch 47 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.337650865316391 0.3414388597011566 [0.008523709140717983, 0.007836305536329746, 1.3748067617416382]\n", "Loss test\n", "[0.00847031269222498, 0.007773119956254959, 1.3943804502487183]\n", "--------------- Epoch 48 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33370181918144226 0.33806324005126953 [0.007948151789605618, 0.007417717017233372, 1.0608700513839722]\n", "Loss test\n", "[0.008394003845751286, 0.00787148904055357, 1.0450271368026733]\n", "--------------- Epoch 49 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32951152324676514 0.3243318200111389 [0.007684497162699699, 0.007029453292489052, 1.3100875616073608]\n", "Loss test\n", "[0.008054040372371674, 0.007409418933093548, 1.2892464399337769]\n", "--------------- Epoch 50 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3289499878883362 0.3245605230331421 [0.007807728834450245, 0.007280079182237387, 1.0552994012832642]\n", "Loss test\n", "[0.008207314647734165, 0.007678866386413574, 1.0568983554840088]\n", "--------------- Epoch 51 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.35927364230155945 0.3324689567089081 [0.007247141562402248, 0.0065053412690758705, 1.483600378036499]\n", "Loss test\n", "[0.008164710365235806, 0.007432535756379366, 1.4643471240997314]\n", "--------------- Epoch 52 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.35786667466163635 0.3329091966152191 [0.00770540488883853, 0.007243197411298752, 0.9244145154953003]\n", "Loss test\n", "[0.007858376018702984, 0.007371632382273674, 0.9734901785850525]\n", "--------------- Epoch 53 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3290264308452606 0.3353012502193451 [0.0074803028255701065, 0.0071488600224256516, 0.6628857851028442]\n", "Loss test\n", "[0.010791908949613571, 0.010462137870490551, 0.6595439910888672]\n", "--------------- Epoch 54 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34829968214035034 0.35162070393562317 [0.007601267192512751, 0.0071239713579416275, 0.9545913934707642]\n", "Loss test\n", "[0.0079282745718956, 0.007455011364072561, 0.946529746055603]\n", "--------------- Epoch 55 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32045018672943115 0.3250458538532257 [0.007443293463438749, 0.0067323558032512665, 1.4218754768371582]\n", "Loss test\n", "[0.007926671765744686, 0.0072157601825892925, 1.421822428703308]\n", "--------------- Epoch 56 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32983121275901794 0.3312962055206299 [0.007327086757868528, 0.006989378947764635, 0.6754156351089478]\n", "Loss test\n", "[0.008059260435402393, 0.007714270148426294, 0.6899793744087219]\n", "--------------- Epoch 57 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33060353994369507 0.33045679330825806 [0.007336912676692009, 0.006993520073592663, 0.6867848038673401]\n", "Loss test\n", "[0.007812859490513802, 0.007486533373594284, 0.6526522040367126]\n", "--------------- Epoch 58 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3346862196922302 0.31718528270721436 [0.007261977531015873, 0.006834148429334164, 0.8556585907936096]\n", "Loss test\n", "[0.0077664609998464584, 0.007355783134698868, 0.8213546872138977]\n", "--------------- Epoch 59 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.336763858795166 0.32962220907211304 [0.006780738476663828, 0.006131337024271488, 1.2988024950027466]\n", "Loss test\n", "[0.00786876305937767, 0.007234511896967888, 1.2685037851333618]\n", "--------------- Epoch 60 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3220300078392029 0.32871323823928833 [0.006997076328843832, 0.00667073717340827, 0.6526782512664795]\n", "Loss test\n", "[0.008219708688557148, 0.00787110161036253, 0.6972162127494812]\n", "--------------- Epoch 61 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34640923142433167 0.329644113779068 [0.007236090954393148, 0.006603889632970095, 1.264402985572815]\n", "Loss test\n", "[0.015804441645741463, 0.015070431865751743, 1.468021273612976]\n", "--------------- Epoch 62 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3193076252937317 0.3496672213077545 [0.006498186849057674, 0.006310322321951389, 0.37572920322418213]\n", "Loss test\n", "[0.007240531966090202, 0.007053681183606386, 0.37369757890701294]\n", "--------------- Epoch 63 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3290821313858032 0.3421764075756073 [0.0066077313385903835, 0.006264868192374706, 0.6857260465621948]\n", "Loss test\n", "[0.007879863493144512, 0.007544711697846651, 0.6703059077262878]\n", "--------------- Epoch 64 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32413995265960693 0.32947680354118347 [0.006723243743181229, 0.006386001128703356, 0.6744850873947144]\n", "Loss test\n", "[0.007517834194004536, 0.007192273158580065, 0.6511269807815552]\n", "--------------- Epoch 65 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3522167503833771 0.3355644643306732 [0.006904707755893469, 0.006277000531554222, 1.255414605140686]\n", "Loss test\n", "[0.007670016027987003, 0.007080092094838619, 1.179850459098816]\n", "--------------- Epoch 66 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3328823447227478 0.3249543607234955 [0.006868086755275726, 0.006026366725564003, 1.6834402084350586]\n", "Loss test\n", "[0.007918672636151314, 0.007070230785757303, 1.696881890296936]\n", "--------------- Epoch 67 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.36521318554878235 0.34999722242355347 [0.006691493559628725, 0.005882998928427696, 1.6169894933700562]\n", "Loss test\n", "[0.007708204910159111, 0.00685869250446558, 1.6990258693695068]\n", "--------------- Epoch 68 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.36949920654296875 2.271470546722412 [0.006220344454050064, 0.005994049832224846, 0.45258966088294983]\n", "Loss test\n", "[0.007192005403339863, 0.00695850420743227, 0.4670043885707855]\n", "--------------- Epoch 69 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.382470041513443 0.33786553144454956 [0.006686587817966938, 0.005998261272907257, 1.3766528367996216]\n", "Loss test\n", "[0.007447520736604929, 0.006747561506927013, 1.3999152183532715]\n", "--------------- Epoch 70 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.364464670419693 0.3514810800552368 [0.00662257382646203, 0.006052341312170029, 1.140465259552002]\n", "Loss test\n", "[0.007490735501050949, 0.006942971609532833, 1.0955301523208618]\n", "--------------- Epoch 71 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.37052544951438904 0.3256743252277374 [0.007054380141198635, 0.006414836272597313, 1.2790881395339966]\n", "Loss test\n", "[0.007791916839778423, 0.007157754153013229, 1.268324613571167]\n", "--------------- Epoch 72 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3360733687877655 0.3292013108730316 [0.006645589135587215, 0.0059601906687021255, 1.370797038078308]\n", "Loss test\n", "[0.007649115286767483, 0.006970434449613094, 1.3573603630065918]\n", "--------------- Epoch 73 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.6331778764724731 0.6924232244491577 [0.007709524594247341, 0.007336094975471497, 0.7468592524528503]\n", "Loss test\n", "[0.008894074708223343, 0.008556150831282139, 0.6758463382720947]\n", "--------------- Epoch 74 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3477737605571747 0.3285992741584778 [0.00715138902887702, 0.006572821643203497, 1.157135009765625]\n", "Loss test\n", "[0.0076330373995006084, 0.0070692929439246655, 1.1274889707565308]\n", "--------------- Epoch 75 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33847761154174805 0.33212265372276306 [0.0065550124272704124, 0.006061390973627567, 0.9872431755065918]\n", "Loss test\n", "[0.007266216445714235, 0.006770767737179995, 0.9908977150917053]\n", "--------------- Epoch 76 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33042803406715393 0.33535873889923096 [0.006164162419736385, 0.005587669089436531, 1.1529868841171265]\n", "Loss test\n", "[0.007335993926972151, 0.006764316000044346, 1.1433583498001099]\n", "--------------- Epoch 77 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3220818340778351 0.3342084586620331 [0.006567403674125671, 0.006121593061834574, 0.8916213512420654]\n", "Loss test\n", "[0.007340181153267622, 0.006902724038809538, 0.8749149441719055]\n", "--------------- Epoch 78 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33173367381095886 0.3345842957496643 [0.010698077268898487, 0.00998879037797451, 1.4185736179351807]\n", "Loss test\n", "[0.014433865435421467, 0.013739872723817825, 1.3879892826080322]\n", "--------------- Epoch 79 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3257105350494385 0.3279013931751251 [0.00843323115259409, 0.007846662774682045, 1.1731361150741577]\n", "Loss test\n", "[0.008276345208287239, 0.007678752299398184, 1.1951863765716553]\n", "--------------- Epoch 80 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3359721899032593 0.33748358488082886 [0.006586289033293724, 0.0062534380704164505, 0.6657015085220337]\n", "Loss test\n", "[0.006996434181928635, 0.006660286337137222, 0.6722946763038635]\n", "--------------- Epoch 81 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31740468740463257 0.34191086888313293 [0.006804272532463074, 0.006384922191500664, 0.8387004733085632]\n", "Loss test\n", "[0.006820029113441706, 0.006394763011485338, 0.8505294322967529]\n", "--------------- Epoch 82 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3267035186290741 0.33617961406707764 [0.006149656139314175, 0.005521549843251705, 1.2562122344970703]\n", "Loss test\n", "[0.006803599186241627, 0.006207674741744995, 1.1918489933013916]\n", "--------------- Epoch 83 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3227180540561676 0.32632315158843994 [0.0065462347120046616, 0.006089532747864723, 0.9134039282798767]\n", "Loss test\n", "[0.00684583792462945, 0.0063904994167387486, 0.9106777310371399]\n", "--------------- Epoch 84 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33109334111213684 0.3528927266597748 [0.006049766670912504, 0.005719061475247145, 0.6614102125167847]\n", "Loss test\n", "[0.006648858077824116, 0.006310863420367241, 0.6759892702102661]\n", "--------------- Epoch 85 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3324207663536072 0.33839094638824463 [0.005775907542556524, 0.005302046425640583, 0.9477222561836243]\n", "Loss test\n", "[0.0066475276835262775, 0.006179812829941511, 0.935432493686676]\n", "--------------- Epoch 86 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32301151752471924 0.31968846917152405 [0.006008627824485302, 0.005626977421343327, 0.7633002996444702]\n", "Loss test\n", "[0.006523005198687315, 0.00613985862582922, 0.7662971019744873]\n", "--------------- Epoch 87 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.6459652185440063 0.5665247440338135 [0.006043831817805767, 0.005719942040741444, 0.6477791666984558]\n", "Loss test\n", "[0.006457656156271696, 0.006129420828074217, 0.6564694046974182]\n", "--------------- Epoch 88 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.40086275339126587 0.37176045775413513 [0.006127120926976204, 0.005505971610546112, 1.2422981262207031]\n", "Loss test\n", "[0.006844105664640665, 0.006226047873497009, 1.2361146211624146]\n", "--------------- Epoch 89 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32796111702919006 0.33396396040916443 [0.0058848559856414795, 0.0052965423092246056, 1.1766273975372314]\n", "Loss test\n", "[0.0067537808790802956, 0.0061687882989645, 1.1699833869934082]\n", "--------------- Epoch 90 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33475467562675476 0.3108997941017151 [0.005835129413753748, 0.005456289276480675, 0.7576805353164673]\n", "Loss test\n", "[0.0062964134849607944, 0.005916917230933905, 0.7589941620826721]\n", "--------------- Epoch 91 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33681797981262207 0.3362849950790405 [0.0053291223011910915, 0.005036604590713978, 0.585034966468811]\n", "Loss test\n", "[0.0061932774260640144, 0.005904232617467642, 0.5780912637710571]\n", "--------------- Epoch 92 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3308336138725281 0.3282836675643921 [0.005625090561807156, 0.00508450623601675, 1.0811681747436523]\n", "Loss test\n", "[0.006532824598252773, 0.005994243081659079, 1.0771629810333252]\n", "--------------- Epoch 93 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31926465034484863 0.3329668641090393 [0.005788449198007584, 0.005243227817118168, 1.090442419052124]\n", "Loss test\n", "[0.006500097922980785, 0.005952088162302971, 1.0960192680358887]\n", "--------------- Epoch 94 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3201524019241333 0.3406793475151062 [0.005909665487706661, 0.005468381568789482, 0.8825677037239075]\n", "Loss test\n", "[0.0067335935309529305, 0.006302099209278822, 0.8629916310310364]\n", "--------------- Epoch 95 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3406040668487549 0.34823253750801086 [0.005558925215154886, 0.005234506446868181, 0.6488373279571533]\n", "Loss test\n", "[0.006646487861871719, 0.006327030248939991, 0.6389152407646179]\n", "--------------- Epoch 96 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33232155442237854 0.33236581087112427 [0.005716737825423479, 0.005332866683602333, 0.7677426338195801]\n", "Loss test\n", "[0.00694242725148797, 0.006547813769429922, 0.7892253398895264]\n", "--------------- Epoch 97 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3395216166973114 0.33552199602127075 [0.005613604560494423, 0.005247614346444607, 0.7319806814193726]\n", "Loss test\n", "[0.00633924501016736, 0.00597482779994607, 0.7288364171981812]\n", "--------------- Epoch 98 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.37148764729499817 0.34613439440727234 [0.005741738714277744, 0.0049631642177701, 1.5571486949920654]\n", "Loss test\n", "[0.006950887385755777, 0.0061774528585374355, 1.5468714237213135]\n", "--------------- Epoch 99 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33918893337249756 0.3416929841041565 [0.005307463463395834, 0.004778602626174688, 1.057721734046936]\n", "Loss test\n", "[0.006289760582149029, 0.0057541015557944775, 1.0713173151016235]\n", "--------------- Epoch 100 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.33068665862083435 0.3156266212463379 [0.005504873115569353, 0.004793302621692419, 1.423140525817871]\n", "Loss test\n", "[0.0064714038744568825, 0.005764520727097988, 1.4137647151947021]\n", "--------------- Epoch 101 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3253394663333893 0.32175779342651367 [0.005524975247681141, 0.0050007617101073265, 1.048426628112793]\n", "Loss test\n", "[0.006303539965301752, 0.005782132036983967, 1.042812705039978]\n", "--------------- Epoch 102 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32187944650650024 0.32437825202941895 [0.005396833177655935, 0.004914812743663788, 0.9640405178070068]\n", "Loss test\n", "[0.006355463061481714, 0.005884449928998947, 0.942024290561676]\n", "--------------- Epoch 103 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.619617223739624 0.6356942057609558 [0.004965964704751968, 0.004576759412884712, 0.7784101963043213]\n", "Loss test\n", "[0.006304533686488867, 0.0059163738042116165, 0.7763243317604065]\n", "--------------- Epoch 104 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.5130904912948608 0.357014536857605 [0.004977799486368895, 0.004450315143913031, 1.0549688339233398]\n", "Loss test\n", "[0.006109717767685652, 0.005586009006947279, 1.0474188327789307]\n", "--------------- Epoch 105 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3479275107383728 0.4547015428543091 [0.005299270153045654, 0.004824575036764145, 0.9493899941444397]\n", "Loss test\n", "[0.0063302963972091675, 0.005865823943167925, 0.9289435744285583]\n", "--------------- Epoch 106 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3924505114555359 0.3211861848831177 [0.0057256631553173065, 0.005068374797701836, 1.3145768642425537]\n", "Loss test\n", "[0.0066881123930215836, 0.006035224534571171, 1.3057754039764404]\n", "--------------- Epoch 107 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.5712616443634033 0.36554545164108276 [0.005658973474055529, 0.004925176501274109, 1.4675935506820679]\n", "Loss test\n", "[0.0064739868976175785, 0.005725876893848181, 1.4962173700332642]\n", "--------------- Epoch 108 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.343690425157547 0.3464754819869995 [0.0055754524655640125, 0.0050360457971692085, 1.0788129568099976]\n", "Loss test\n", "[0.006735687609761953, 0.006183447781950235, 1.1044796705245972]\n", "--------------- Epoch 109 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33248308300971985 0.3828243911266327 [0.005295712500810623, 0.004853992722928524, 0.883439838886261]\n", "Loss test\n", "[0.006094824988394976, 0.005648581311106682, 0.8924906253814697]\n", "--------------- Epoch 110 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34810903668403625 0.3632999658584595 [0.005146003793925047, 0.004720357246696949, 0.8512933254241943]\n", "Loss test\n", "[0.0060585313476622105, 0.005627235397696495, 0.8625909090042114]\n", "--------------- Epoch 111 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33534616231918335 0.3332362473011017 [0.005584209691733122, 0.005045692436397076, 1.0770343542099]\n", "Loss test\n", "[0.006176654249429703, 0.005634766072034836, 1.0837754011154175]\n", "--------------- Epoch 112 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33395886421203613 0.32528045773506165 [0.005170674994587898, 0.004563271068036556, 1.2148081064224243]\n", "Loss test\n", "[0.006195034831762314, 0.005590323358774185, 1.2094221115112305]\n", "--------------- Epoch 113 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3144027888774872 0.3391037881374359 [0.00519355945289135, 0.004663974978029728, 1.0591691732406616]\n", "Loss test\n", "[0.006036118604242802, 0.005506261717528105, 1.0597143173217773]\n", "--------------- Epoch 114 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3714727759361267 0.33611544966697693 [0.005526479799300432, 0.004827148746699095, 1.3986622095108032]\n", "Loss test\n", "[0.006166049744933844, 0.005462280008941889, 1.4075394868850708]\n", "--------------- Epoch 115 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33060765266418457 0.3376615047454834 [0.005328419618308544, 0.004750749096274376, 1.1553411483764648]\n", "Loss test\n", "[0.005949871148914099, 0.005358565133064985, 1.1826149225234985]\n", "--------------- Epoch 116 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3299824595451355 0.3604279160499573 [0.0051753525622189045, 0.004441015422344208, 1.4686741828918457]\n", "Loss test\n", "[0.006199968978762627, 0.005463787820190191, 1.4723607301712036]\n", "--------------- Epoch 117 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33615025877952576 0.33874082565307617 [0.005297855474054813, 0.004730443470180035, 1.1348239183425903]\n", "Loss test\n", "[0.006386588327586651, 0.005833463277667761, 1.1062507629394531]\n", "--------------- Epoch 118 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3384052515029907 0.34190067648887634 [0.0059716603718698025, 0.005362221971154213, 1.2188770771026611]\n", "Loss test\n", "[0.006857153028249741, 0.006241988390684128, 1.2303287982940674]\n", "--------------- Epoch 119 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3631061315536499 0.33660489320755005 [0.00502693559974432, 0.004559364169836044, 0.9351423978805542]\n", "Loss test\n", "[0.006215651985257864, 0.005750322714447975, 0.9306564927101135]\n", "--------------- Epoch 120 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.322620689868927 0.3167133033275604 [0.00493635144084692, 0.004383707419037819, 1.1052875518798828]\n", "Loss test\n", "[0.005879068747162819, 0.005329849198460579, 1.0984392166137695]\n", "--------------- Epoch 121 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33683350682258606 0.32367533445358276 [0.005348812323063612, 0.00470135360956192, 1.2949175834655762]\n", "Loss test\n", "[0.006191314663738012, 0.005548208951950073, 1.2862107753753662]\n", "--------------- Epoch 122 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3299816846847534 0.3410862982273102 [0.00778330909088254, 0.007008690387010574, 1.5492373704910278]\n", "Loss test\n", "[0.023550452664494514, 0.02278677001595497, 1.5273644924163818]\n", "--------------- Epoch 123 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34625858068466187 0.3364296555519104 [0.006524974945932627, 0.0058478848077356815, 1.3541802167892456]\n", "Loss test\n", "[0.006872836500406265, 0.006188798695802689, 1.3680756092071533]\n", "--------------- Epoch 124 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34839117527008057 0.32855188846588135 [0.005412180908024311, 0.004760914482176304, 1.30253267288208]\n", "Loss test\n", "[0.006261602509766817, 0.0056171719916164875, 1.2888578176498413]\n", "--------------- Epoch 125 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3210594654083252 0.3370862603187561 [0.006331404205411673, 0.005652960389852524, 1.3568872213363647]\n", "Loss test\n", "[0.00676706014201045, 0.006090341601520777, 1.3534328937530518]\n", "--------------- Epoch 126 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3409954607486725 0.3638707101345062 [0.005051450338214636, 0.0045939479023218155, 0.9150052070617676]\n", "Loss test\n", "[0.005883667152374983, 0.005424063187092543, 0.9192094206809998]\n", "--------------- Epoch 127 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3339286148548126 0.32807305455207825 [0.005311617162078619, 0.00460868189111352, 1.4058706760406494]\n", "Loss test\n", "[0.006048915907740593, 0.00534484488889575, 1.4081425666809082]\n", "--------------- Epoch 128 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32817795872688293 0.32147690653800964 [0.006538257002830505, 0.005914608016610146, 1.2472976446151733]\n", "Loss test\n", "[0.00781888049095869, 0.007195700891315937, 1.24635910987854]\n", "--------------- Epoch 129 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3593759536743164 0.3451199233531952 [0.006217260379344225, 0.005364942830055952, 1.7046350240707397]\n", "Loss test\n", "[0.006572110112756491, 0.005719360895454884, 1.7054997682571411]\n", "--------------- Epoch 130 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3348327577114105 0.3384627401828766 [0.005059996619820595, 0.004523496143519878, 1.0730007886886597]\n", "Loss test\n", "[0.005893849302083254, 0.005356309469789267, 1.0750794410705566]\n", "--------------- Epoch 131 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3372052311897278 0.32420435547828674 [0.005233453586697578, 0.004614261910319328, 1.2383830547332764]\n", "Loss test\n", "[0.005958538502454758, 0.005343790631741285, 1.229496955871582]\n", "--------------- Epoch 132 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3598479926586151 0.3456774950027466 [0.00546562485396862, 0.004647351335734129, 1.6365468502044678]\n", "Loss test\n", "[0.006128367967903614, 0.005305067170411348, 1.6465985774993896]\n", "--------------- Epoch 133 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.3294001817703247 0.33718928694725037 [0.00532921776175499, 0.004626136738806963, 1.4061615467071533]\n", "Loss test\n", "[0.0058983732014894485, 0.005198772065341473, 1.399204134941101]\n", "--------------- Epoch 134 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32872238755226135 0.3424248695373535 [0.005136095918715, 0.0043611107394099236, 1.5499706268310547]\n", "Loss test\n", "[0.00596048915758729, 0.00519076082855463, 1.5394600629806519]\n", "--------------- Epoch 135 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3335907459259033 0.321377694606781 [0.005002390127629042, 0.004358446225523949, 1.287887692451477]\n", "Loss test\n", "[0.005721359048038721, 0.0050733741372823715, 1.2959734201431274]\n", "--------------- Epoch 136 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32729995250701904 0.3721294105052948 [0.006719823926687241, 0.006256989203393459, 0.9256695508956909]\n", "Loss test\n", "[0.006975023075938225, 0.0065063354559242725, 0.9373766779899597]\n", "--------------- Epoch 137 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32229846715927124 0.32692232728004456 [0.005573289934545755, 0.0049821133725345135, 1.1823530197143555]\n", "Loss test\n", "[0.006207766942679882, 0.005620580166578293, 1.1743730306625366]\n", "--------------- Epoch 138 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34395405650138855 0.31756120920181274 [0.005054959561675787, 0.004400272853672504, 1.3093736171722412]\n", "Loss test\n", "[0.006338953040540218, 0.005675935186445713, 1.3260376453399658]\n", "--------------- Epoch 139 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32958856225013733 0.3338471055030823 [0.004866527393460274, 0.004187783692032099, 1.3574877977371216]\n", "Loss test\n", "[0.0059036025777459145, 0.005221009720116854, 1.365187644958496]\n", "--------------- Epoch 140 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34602785110473633 0.3324893116950989 [0.004804996773600578, 0.003964027855545282, 1.6819374561309814]\n", "Loss test\n", "[0.005996001418679953, 0.005157763604074717, 1.6764742136001587]\n", "--------------- Epoch 141 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3392786979675293 0.32813969254493713 [0.00465850206092, 0.004052819684147835, 1.2113643884658813]\n", "Loss test\n", "[0.005766221322119236, 0.005159957800060511, 1.2125283479690552]\n", "--------------- Epoch 142 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34201616048812866 0.3210504353046417 [0.005119632929563522, 0.0043508317321538925, 1.537602424621582]\n", "Loss test\n", "[0.005838858895003796, 0.00506811635568738, 1.5414848327636719]\n", "--------------- Epoch 143 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3334123492240906 0.34657615423202515 [0.004707553423941135, 0.0040116701275110245, 1.3917670249938965]\n", "Loss test\n", "[0.005701873917132616, 0.0050273132510483265, 1.3491219282150269]\n", "--------------- Epoch 144 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.6008645296096802 0.6765094995498657 [0.004441509488970041, 0.0041017187759280205, 0.6795815229415894]\n", "Loss test\n", "[0.005374602507799864, 0.005038734991103411, 0.6717360019683838]\n", "--------------- Epoch 145 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.40535613894462585 0.422437846660614 [0.005599247291684151, 0.004030286334455013, 3.1379222869873047]\n", "Loss test\n", "[0.006528036203235388, 0.005034659989178181, 2.9867541790008545]\n", "--------------- Epoch 146 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3717575967311859 0.5439732074737549 [0.004603978246450424, 0.004112036898732185, 0.9838822484016418]\n", "Loss test\n", "[0.005655227694660425, 0.005159637425094843, 0.9911794066429138]\n", "--------------- Epoch 147 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.383674293756485 0.33388814330101013 [0.004847184754908085, 0.004246418830007315, 1.2015321254730225]\n", "Loss test\n", "[0.005909374449402094, 0.005293688271194696, 1.2313674688339233]\n", "--------------- Epoch 148 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34536194801330566 0.3593851327896118 [0.004780207294970751, 0.0043316311202943325, 0.8971526026725769]\n", "Loss test\n", "[0.00562359020113945, 0.0051681664772331715, 0.9108464121818542]\n", "--------------- Epoch 149 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.7055784463882446 0.3704456090927124 [0.004764153156429529, 0.003863096935674548, 1.8021125793457031]\n", "Loss test\n", "[0.005814086180180311, 0.004910311661660671, 1.8075467348098755]\n", "--------------- Epoch 150 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3381434679031372 0.32557904720306396 [0.005937592592090368, 0.005297282710671425, 1.2806193828582764]\n", "Loss test\n", "[0.008142984472215176, 0.007493020500987768, 1.299930214881897]\n", "--------------- Epoch 151 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.338800847530365 0.3315938711166382 [0.004947261419147253, 0.004326542839407921, 1.2414374351501465]\n", "Loss test\n", "[0.006261719856411219, 0.0056358142755925655, 1.2518134117126465]\n", "--------------- Epoch 152 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3163863718509674 0.340510755777359 [0.004869417287409306, 0.004294764716178179, 1.1493046283721924]\n", "Loss test\n", "[0.005639821290969849, 0.005065250210464001, 1.1491416692733765]\n", "--------------- Epoch 153 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34019696712493896 0.35161617398262024 [0.004859373904764652, 0.004344575107097626, 1.029597520828247]\n", "Loss test\n", "[0.005751685705035925, 0.005236100871115923, 1.0311689376831055]\n", "--------------- Epoch 154 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32361748814582825 0.3322436511516571 [0.005154081620275974, 0.004567752592265606, 1.1726584434509277]\n", "Loss test\n", "[0.006219171918928623, 0.0056263417936861515, 1.1856603622436523]\n", "--------------- Epoch 155 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3599366247653961 0.3251696228981018 [0.0048114522360265255, 0.0041055334731936455, 1.4118375778198242]\n", "Loss test\n", "[0.005806091707199812, 0.005099414382129908, 1.413356065750122]\n", "--------------- Epoch 156 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3402021527290344 0.3425126075744629 [0.005366485565900803, 0.004804526921361685, 1.1239171028137207]\n", "Loss test\n", "[0.006973364390432835, 0.006390506401658058, 1.165714144706726]\n", "--------------- Epoch 157 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.35365530848503113 0.35069212317466736 [0.004694248549640179, 0.004218398593366146, 0.9516993761062622]\n", "Loss test\n", "[0.0055619231425225735, 0.005084602162241936, 0.954642117023468]\n", "--------------- Epoch 158 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3406915068626404 0.31547123193740845 [0.005049846600741148, 0.004295415244996548, 1.5088622570037842]\n", "Loss test\n", "[0.005849078297615051, 0.005096361972391605, 1.5054316520690918]\n", "--------------- Epoch 159 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3523895740509033 0.35568755865097046 [0.004789117723703384, 0.00396236265078187, 1.653510332107544]\n", "Loss test\n", "[0.005672699771821499, 0.00483744265511632, 1.6705158948898315]\n", "--------------- Epoch 160 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34755876660346985 0.355421245098114 [0.004395396448671818, 0.0038180514238774776, 1.1546895503997803]\n", "Loss test\n", "[0.005706143565475941, 0.005145828239619732, 1.1206305027008057]\n", "--------------- Epoch 161 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34334832429885864 0.33321356773376465 [0.004821775946766138, 0.004188393242657185, 1.2667652368545532]\n", "Loss test\n", "[0.005482437089085579, 0.004855226259678602, 1.25442373752594]\n", "--------------- Epoch 162 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3235732614994049 0.32900333404541016 [0.0043479399755597115, 0.003680603113025427, 1.3346740007400513]\n", "Loss test\n", "[0.005624061916023493, 0.004958922974765301, 1.3302804231643677]\n", "--------------- Epoch 163 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3261749744415283 0.3189856708049774 [0.004513658117502928, 0.003867493011057377, 1.292330026626587]\n", "Loss test\n", "[0.005643082316964865, 0.005006864201277494, 1.272436261177063]\n", "--------------- Epoch 164 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3561348617076874 0.35362839698791504 [0.004259332548826933, 0.0037868276704102755, 0.9450095891952515]\n", "Loss test\n", "[0.005360501818358898, 0.004882459528744221, 0.9560813903808594]\n", "--------------- Epoch 165 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3106362521648407 0.32153773307800293 [0.004095996264368296, 0.0035148451570421457, 1.1623024940490723]\n", "Loss test\n", "[0.005374348722398281, 0.004804627038538456, 1.139443039894104]\n", "--------------- Epoch 166 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.33958539366722107 0.32240763306617737 [0.004379228223115206, 0.003768176306039095, 1.2221039533615112]\n", "Loss test\n", "[0.005638254340738058, 0.005021106451749802, 1.2342966794967651]\n", "--------------- Epoch 167 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3372730612754822 0.3393775522708893 [0.004647134803235531, 0.004014743957668543, 1.2647819519042969]\n", "Loss test\n", "[0.005584017839282751, 0.004947803448885679, 1.2724251747131348]\n", "--------------- Epoch 168 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33301007747650146 0.3272445797920227 [0.004187099169939756, 0.003626209683716297, 1.1217788457870483]\n", "Loss test\n", "[0.005465494003146887, 0.004908937495201826, 1.1131134033203125]\n", "--------------- Epoch 169 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32162725925445557 0.32127028703689575 [0.004213876090943813, 0.003580352058634162, 1.2670477628707886]\n", "Loss test\n", "[0.00541686313226819, 0.0047817048616707325, 1.2703136205673218]\n", "--------------- Epoch 170 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3227499723434448 0.33683890104293823 [0.004405111074447632, 0.0038020655047148466, 1.2060906887054443]\n", "Loss test\n", "[0.005445463117212057, 0.004840558860450983, 1.2098100185394287]\n", "--------------- Epoch 171 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.316906601190567 0.3180962800979614 [0.004148261621594429, 0.003518763929605484, 1.258995771408081]\n", "Loss test\n", "[0.005403456743806601, 0.004776755813509226, 1.2534035444259644]\n", "--------------- Epoch 172 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34774884581565857 0.3596267104148865 [0.0037686156574636698, 0.0033477400429546833, 0.8417512774467468]\n", "Loss test\n", "[0.005175594240427017, 0.004751591011881828, 0.8480053544044495]\n", "--------------- Epoch 173 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3500900864601135 0.3478482961654663 [0.0044290185905992985, 0.0037081195041537285, 1.441798448562622]\n", "Loss test\n", "[0.005434172227978706, 0.0047213309444487095, 1.425682544708252]\n", "--------------- Epoch 174 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3190510869026184 0.33363664150238037 [0.004307527560740709, 0.003593123285099864, 1.4288082122802734]\n", "Loss test\n", "[0.00548672117292881, 0.004778197966516018, 1.4170454740524292]\n", "--------------- Epoch 175 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3210252523422241 0.3274829387664795 [0.004053575452417135, 0.003451850265264511, 1.203450322151184]\n", "Loss test\n", "[0.005361591931432486, 0.004760486073791981, 1.2022104263305664]\n", "--------------- Epoch 176 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3237089514732361 0.30785173177719116 [0.004087105859071016, 0.00344339688308537, 1.2874181270599365]\n", "Loss test\n", "[0.005677700042724609, 0.005034398287534714, 1.2866038084030151]\n", "--------------- Epoch 177 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3192349672317505 0.3371572196483612 [0.004002983681857586, 0.0034746630117297173, 1.0566415786743164]\n", "Loss test\n", "[0.005692898295819759, 0.005162135697901249, 1.0615278482437134]\n", "--------------- Epoch 178 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3264862895011902 0.33242085576057434 [0.004146630875766277, 0.0035820365883409977, 1.1291881799697876]\n", "Loss test\n", "[0.005260382313281298, 0.004693136550486088, 1.134491205215454]\n", "--------------- Epoch 179 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32947370409965515 0.3518329858779907 [0.004205001518130302, 0.003440866945311427, 1.5282695293426514]\n", "Loss test\n", "[0.0055660465732216835, 0.004794840235263109, 1.5424140691757202]\n", "--------------- Epoch 180 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.5514141321182251 0.3370761573314667 [0.004173198249191046, 0.0034315302036702633, 1.4833357334136963]\n", "Loss test\n", "[0.0055497861467301846, 0.004811491817235947, 1.4765899181365967]\n", "--------------- Epoch 181 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.7300025224685669 0.3775390088558197 [0.00430096173658967, 0.0036005175206810236, 1.400888442993164]\n", "Loss test\n", "[0.005379688926041126, 0.0046959491446614265, 1.3674763441085815]\n", "--------------- Epoch 182 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33365920186042786 0.3204934895038605 [0.003790427464991808, 0.003229448338970542, 1.1219582557678223]\n", "Loss test\n", "[0.005313469097018242, 0.004747990984469652, 1.1309549808502197]\n", "--------------- Epoch 183 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32816454768180847 0.3347545862197876 [0.004176679532974958, 0.003522696904838085, 1.3079650402069092]\n", "Loss test\n", "[0.0054717776365578175, 0.004815806169062853, 1.3119442462921143]\n", "--------------- Epoch 184 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33857613801956177 0.3327387571334839 [0.004075311124324799, 0.0034564847592264414, 1.2376525402069092]\n", "Loss test\n", "[0.00555840041488409, 0.004937238059937954, 1.2423264980316162]\n", "--------------- Epoch 185 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32893919944763184 0.3232620656490326 [0.0038029830902814865, 0.0031953509896993637, 1.2152642011642456]\n", "Loss test\n", "[0.005573853384703398, 0.004974172450602055, 1.1993603706359863]\n", "--------------- Epoch 186 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3310525715351105 0.34329959750175476 [0.004065545275807381, 0.0032632804941385984, 1.6045291423797607]\n", "Loss test\n", "[0.005511116702109575, 0.004702076315879822, 1.6180815696716309]\n", "--------------- Epoch 187 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3402112126350403 0.3307788670063019 [0.005409956444054842, 0.004810691811144352, 1.198529601097107]\n", "Loss test\n", "[0.00650812266394496, 0.005913985893130302, 1.1882725954055786]\n", "--------------- Epoch 188 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32246679067611694 0.3335440754890442 [0.004642392508685589, 0.004113634116947651, 1.0575168132781982]\n", "Loss test\n", "[0.005771883297711611, 0.005239060614258051, 1.0656448602676392]\n", "--------------- Epoch 189 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33040037751197815 0.3328968286514282 [0.0069756037555634975, 0.006275773514062166, 1.3996604681015015]\n", "Loss test\n", "[0.007079827133566141, 0.006385983899235725, 1.3876862525939941]\n", "--------------- Epoch 190 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3161802291870117 0.3215997815132141 [0.004995338618755341, 0.004458828829228878, 1.0730191469192505]\n", "Loss test\n", "[0.005904939956963062, 0.005369141697883606, 1.0715975761413574]\n", "--------------- Epoch 191 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33794647455215454 0.32820212841033936 [0.0047467839904129505, 0.0041803028434515, 1.1329621076583862]\n", "Loss test\n", "[0.0054155089892446995, 0.004849496763199568, 1.1320257186889648]\n", "--------------- Epoch 192 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31963545083999634 0.43263134360313416 [0.019954349845647812, 0.01952812820672989, 0.8524428606033325]\n", "Loss test\n", "[0.022086966782808304, 0.02166959084570408, 0.8347436785697937]\n", "--------------- Epoch 193 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3292459547519684 0.3305821418762207 [0.012734257616102695, 0.012229783460497856, 1.0089479684829712]\n", "Loss test\n", "[0.012168527580797672, 0.01166530977934599, 1.0064398050308228]\n", "--------------- Epoch 194 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32727035880088806 0.30527597665786743 [0.008617924526333809, 0.008005079813301563, 1.225689172744751]\n", "Loss test\n", "[0.008325294591486454, 0.007722005248069763, 1.2065757513046265]\n", "--------------- Epoch 195 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3137117028236389 0.3341290354728699 [0.007590062916278839, 0.007087468635290861, 1.0051885843276978]\n", "Loss test\n", "[0.007530880626291037, 0.00702514685690403, 1.011471152305603]\n", "--------------- Epoch 196 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3370746672153473 0.330180823802948 [0.006712513975799084, 0.0061086551286280155, 1.2077171802520752]\n", "Loss test\n", "[0.006753700319677591, 0.0061547220684587955, 1.1979564428329468]\n", "--------------- Epoch 197 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3256932199001312 0.334993451833725 [0.006074301898479462, 0.005523947067558765, 1.1007096767425537]\n", "Loss test\n", "[0.007087600417435169, 0.006542356684803963, 1.0904831886291504]\n", "--------------- Epoch 198 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32478952407836914 0.32492271065711975 [0.0062151080928742886, 0.005637934431433678, 1.1543476581573486]\n", "Loss test\n", "[0.006442115642130375, 0.005864566192030907, 1.155097484588623]\n", "--------------- Epoch 199 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.3260749578475952 0.32726967334747314 [0.005273020826280117, 0.004734572488814592, 1.0768967866897583]\n", "Loss test\n", "[0.0062476592138409615, 0.00571006815880537, 1.075181484222412]\n", "--------------- Epoch 200 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32155895233154297 0.3276899456977844 [0.005439551081508398, 0.004902822431176901, 1.0734573602676392]\n", "Loss test\n", "[0.006035271566361189, 0.005498203914612532, 1.074134111404419]\n", "--------------- Epoch 201 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3223837614059448 0.31995266675949097 [0.005605730228126049, 0.005035303998738527, 1.140852689743042]\n", "Loss test\n", "[0.005853753536939621, 0.0052869608625769615, 1.1335867643356323]\n", "--------------- Epoch 202 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3332936465740204 0.3357492685317993 [0.005810978356748819, 0.005246101878583431, 1.1297531127929688]\n", "Loss test\n", "[0.005801377352327108, 0.005232726689428091, 1.1372997760772705]\n", "--------------- Epoch 203 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.319404661655426 0.3233502507209778 [0.00543768797069788, 0.004836599342525005, 1.2021770477294922]\n", "Loss test\n", "[0.0056644282303750515, 0.005068657454103231, 1.1915432214736938]\n", "--------------- Epoch 204 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3283618986606598 0.3286202847957611 [0.00552357966080308, 0.004959275014698505, 1.1286089420318604]\n", "Loss test\n", "[0.005962195340543985, 0.005395359359681606, 1.1336743831634521]\n", "--------------- Epoch 205 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32191160321235657 0.3250453770160675 [0.00510011101141572, 0.004554413259029388, 1.0913952589035034]\n", "Loss test\n", "[0.005535762291401625, 0.004989441949874163, 1.0926412343978882]\n", "--------------- Epoch 206 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3364567756652832 0.320954829454422 [0.00508476234972477, 0.004510330967605114, 1.148862361907959]\n", "Loss test\n", "[0.0055408719927072525, 0.004961536265909672, 1.1586711406707764]\n", "--------------- Epoch 207 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3271569609642029 0.3263736367225647 [0.005083206109702587, 0.004364783875644207, 1.4368441104888916]\n", "Loss test\n", "[0.00587649829685688, 0.005162196233868599, 1.4286009073257446]\n", "--------------- Epoch 208 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3195327818393707 0.32298675179481506 [0.005180815234780312, 0.004605764523148537, 1.1501017808914185]\n", "Loss test\n", "[0.005942839663475752, 0.005365706514567137, 1.154262661933899]\n", "--------------- Epoch 209 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33028703927993774 0.33521759510040283 [0.00464592082425952, 0.003990994766354561, 1.3098523616790771]\n", "Loss test\n", "[0.005662258714437485, 0.005002802237868309, 1.3189109563827515]\n", "--------------- Epoch 210 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3309871256351471 0.31986570358276367 [0.005228409543633461, 0.004644328728318214, 1.1681616306304932]\n", "Loss test\n", "[0.005455326288938522, 0.0048704929649829865, 1.169666051864624]\n", "--------------- Epoch 211 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31378474831581116 0.3355136513710022 [0.00478412676602602, 0.004180301912128925, 1.2076499462127686]\n", "Loss test\n", "[0.005669122561812401, 0.005064498167484999, 1.2092502117156982]\n", "--------------- Epoch 212 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3277181386947632 0.3230641782283783 [0.005160399246960878, 0.0045305825769901276, 1.2596333026885986]\n", "Loss test\n", "[0.005489810835570097, 0.004859228618443012, 1.2611660957336426]\n", "--------------- Epoch 213 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32471510767936707 0.3353995084762573 [0.004554463550448418, 0.004031653981655836, 1.045619249343872]\n", "Loss test\n", "[0.005290603265166283, 0.004764476791024208, 1.0522549152374268]\n", "--------------- Epoch 214 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.351600706577301 0.33240294456481934 [0.004759218543767929, 0.004303732421249151, 0.9109722971916199]\n", "Loss test\n", "[0.005363479256629944, 0.0049064503982663155, 0.9140586853027344]\n", "--------------- Epoch 215 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3306940197944641 0.3353622853755951 [0.0046411850489676, 0.004113122820854187, 1.056124210357666]\n", "Loss test\n", "[0.005270978435873985, 0.004745203070342541, 1.0515518188476562]\n", "--------------- Epoch 216 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3195900321006775 0.32098162174224854 [0.00449180044233799, 0.003864720929414034, 1.254158854484558]\n", "Loss test\n", "[0.005268440581858158, 0.00463942950591445, 1.2580214738845825]\n", "--------------- Epoch 217 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32213619351387024 0.32490867376327515 [0.004386219196021557, 0.0038580233231186867, 1.0563915967941284]\n", "Loss test\n", "[0.005190759897232056, 0.004664470907300711, 1.0525771379470825]\n", "--------------- Epoch 218 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3384898900985718 0.32680800557136536 [0.005094056949019432, 0.004461707081645727, 1.2646992206573486]\n", "Loss test\n", "[0.006060327868908644, 0.005425687879323959, 1.2692816257476807]\n", "--------------- Epoch 219 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32589077949523926 0.32085472345352173 [0.004833455663174391, 0.004297799430787563, 1.0713125467300415]\n", "Loss test\n", "[0.005575392860919237, 0.005036760121583939, 1.0772663354873657]\n", "--------------- Epoch 220 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32308974862098694 0.33196955919265747 [0.004120143596082926, 0.0036328178830444813, 0.974651575088501]\n", "Loss test\n", "[0.005098073277622461, 0.0046109966933727264, 0.9741547107696533]\n", "--------------- Epoch 221 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33399873971939087 0.3414113223552704 [0.004808241967111826, 0.004112238064408302, 1.3920079469680786]\n", "Loss test\n", "[0.005449641030281782, 0.004751543048769236, 1.396194338798523]\n", "--------------- Epoch 222 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33084797859191895 0.324859619140625 [0.004599415697157383, 0.003957296721637249, 1.2842376232147217]\n", "Loss test\n", "[0.005325600504875183, 0.0046784658916294575, 1.2942701578140259]\n", "--------------- Epoch 223 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3252248466014862 0.3339354395866394 [0.0045697339810431, 0.003954038955271244, 1.231390118598938]\n", "Loss test\n", "[0.005690581165254116, 0.005073599983006716, 1.2339622974395752]\n", "--------------- Epoch 224 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31754276156425476 0.3337423503398895 [0.004512256942689419, 0.003841727739199996, 1.341058611869812]\n", "Loss test\n", "[0.005374934058636427, 0.004709121771156788, 1.331626296043396]\n", "--------------- Epoch 225 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3198530375957489 0.3329039514064789 [0.004304164554923773, 0.0037602330558001995, 1.0878629684448242]\n", "Loss test\n", "[0.005195846781134605, 0.0046517630107700825, 1.0881690979003906]\n", "--------------- Epoch 226 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31570425629615784 0.33387818932533264 [0.004338159691542387, 0.0037263501435518265, 1.223618984222412]\n", "Loss test\n", "[0.005243629217147827, 0.00463008601218462, 1.2270867824554443]\n", "--------------- Epoch 227 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3288116455078125 0.3321382403373718 [0.0044907331466674805, 0.003863513469696045, 1.2544389963150024]\n", "Loss test\n", "[0.005204882938414812, 0.004575543571263552, 1.2586796283721924]\n", "--------------- Epoch 228 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3410557508468628 0.3298998475074768 [0.004358314443379641, 0.0036898599937558174, 1.3369091749191284]\n", "Loss test\n", "[0.005386745557188988, 0.004718093201518059, 1.3373045921325684]\n", "--------------- Epoch 229 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3278023600578308 0.32668739557266235 [0.0041902256198227406, 0.0035876682959496975, 1.2051148414611816]\n", "Loss test\n", "[0.005195333622395992, 0.004593424033373594, 1.2038156986236572]\n", "--------------- Epoch 230 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3345593214035034 0.3209508955478668 [0.004377060104161501, 0.003742628265172243, 1.2688634395599365]\n", "Loss test\n", "[0.005123001057654619, 0.004486617166548967, 1.2727657556533813]\n", "--------------- Epoch 231 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3355376720428467 0.3383430242538452 [0.004180252552032471, 0.003550055203959346, 1.2603943347930908]\n", "Loss test\n", "[0.00538778118789196, 0.004758852533996105, 1.2578569650650024]\n", "--------------- Epoch 232 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.33027076721191406 0.304948091506958 [0.00429898826405406, 0.0037078256718814373, 1.182325005531311]\n", "Loss test\n", "[0.005125520750880241, 0.00453455513343215, 1.1819323301315308]\n", "--------------- Epoch 233 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3327389359474182 0.31568509340286255 [0.004397477023303509, 0.0038020990323275328, 1.1907554864883423]\n", "Loss test\n", "[0.005568633321672678, 0.004973967559635639, 1.189330816268921]\n", "--------------- Epoch 234 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33031418919563293 0.32506218552589417 [0.004169076215475798, 0.0035746218636631966, 1.188908576965332]\n", "Loss test\n", "[0.00508316233754158, 0.00448601646348834, 1.1942886114120483]\n", "--------------- Epoch 235 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3240734338760376 0.3295719623565674 [0.004999370779842138, 0.004336330108344555, 1.3260815143585205]\n", "Loss test\n", "[0.006262491457164288, 0.005591735243797302, 1.3415100574493408]\n", "--------------- Epoch 236 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3307453691959381 0.31887087225914 [0.004228446166962385, 0.0036648414097726345, 1.1272095441818237]\n", "Loss test\n", "[0.005285101011395454, 0.004718217067420483, 1.1337690353393555]\n", "--------------- Epoch 237 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3230767250061035 0.3263093829154968 [0.004073861986398697, 0.003463990520685911, 1.2197433710098267]\n", "Loss test\n", "[0.0051506804302334785, 0.004544087219983339, 1.213187336921692]\n", "--------------- Epoch 238 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3343100845813751 0.3334219455718994 [0.004513198509812355, 0.003925144672393799, 1.176107406616211]\n", "Loss test\n", "[0.0053762830793857574, 0.004792546853423119, 1.1674702167510986]\n", "--------------- Epoch 239 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32874253392219543 0.32630109786987305 [0.004276677034795284, 0.003687873249873519, 1.177607774734497]\n", "Loss test\n", "[0.00525203300639987, 0.004664320964366198, 1.1754257678985596]\n", "--------------- Epoch 240 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32699015736579895 0.324038565158844 [0.003943206742405891, 0.003327334066852927, 1.2317454814910889]\n", "Loss test\n", "[0.005346266087144613, 0.004728803411126137, 1.2349268198013306]\n", "--------------- Epoch 241 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31798315048217773 0.3164409101009369 [0.0040174685418605804, 0.0034617497585713863, 1.111437439918518]\n", "Loss test\n", "[0.005104721523821354, 0.004552988801151514, 1.1034660339355469]\n", "--------------- Epoch 242 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32380834221839905 0.32098332047462463 [0.004013351164758205, 0.0034966825041919947, 1.0333375930786133]\n", "Loss test\n", "[0.00506553566083312, 0.00454694963991642, 1.037171721458435]\n", "--------------- Epoch 243 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33367183804512024 0.3421708047389984 [0.004018235020339489, 0.003583525773137808, 0.8694182634353638]\n", "Loss test\n", "[0.00515967421233654, 0.0047226883471012115, 0.8739714622497559]\n", "--------------- Epoch 244 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3210310637950897 0.3285740613937378 [0.003954525105655193, 0.00334306713193655, 1.222915530204773]\n", "Loss test\n", "[0.005125677213072777, 0.004512367770075798, 1.2266185283660889]\n", "--------------- Epoch 245 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32303524017333984 0.3262598514556885 [0.004131559748202562, 0.0035292229149490595, 1.2046737670898438]\n", "Loss test\n", "[0.005096436943858862, 0.0044886949472129345, 1.215484380722046]\n", "--------------- Epoch 246 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33745238184928894 0.31651508808135986 [0.004149540327489376, 0.0034725412260740995, 1.3539977073669434]\n", "Loss test\n", "[0.005081897601485252, 0.004404523875564337, 1.3547472953796387]\n", "--------------- Epoch 247 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.320859432220459 0.3148910403251648 [0.0037606526166200638, 0.0032549751922488213, 1.011354923248291]\n", "Loss test\n", "[0.004894135054200888, 0.004385229665786028, 1.017811894416809]\n", "--------------- Epoch 248 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33512410521507263 0.33673542737960815 [0.0042669884860515594, 0.0036257505416870117, 1.282475471496582]\n", "Loss test\n", "[0.005237129516899586, 0.004595282021909952, 1.2836928367614746]\n", "--------------- Epoch 249 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3219258785247803 0.3306289315223694 [0.003988058306276798, 0.0035034031607210636, 0.9693101644515991]\n", "Loss test\n", "[0.005045775324106216, 0.004566269926726818, 0.9590120911598206]\n", "--------------- Epoch 250 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3256019949913025 0.3304847180843353 [0.0039430768229067326, 0.00333639164455235, 1.2133700847625732]\n", "Loss test\n", "[0.005131008103489876, 0.0045218695886433125, 1.2182811498641968]\n", "--------------- Epoch 251 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3296211361885071 0.32188770174980164 [0.0039525642059743404, 0.0033471048809587955, 1.2109181880950928]\n", "Loss test\n", "[0.005003225523978472, 0.004385967273265123, 1.234515905380249]\n", "--------------- Epoch 252 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32327139377593994 0.3191751539707184 [0.003871025051921606, 0.0033093602396547794, 1.1233294010162354]\n", "Loss test\n", "[0.005017281509935856, 0.004453969653695822, 1.126623511314392]\n", "--------------- Epoch 253 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3354928195476532 0.3391232490539551 [0.0037631248123943806, 0.0032321554608643055, 1.0619388818740845]\n", "Loss test\n", "[0.004879070445895195, 0.00435238191857934, 1.0533759593963623]\n", "--------------- Epoch 254 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3093873858451843 0.32083162665367126 [0.0037655767519026995, 0.003187918569892645, 1.1553163528442383]\n", "Loss test\n", "[0.004940584301948547, 0.004362450446933508, 1.1562668085098267]\n", "--------------- Epoch 255 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3259466886520386 0.32174399495124817 [0.00411420501768589, 0.003580303629860282, 1.0678023099899292]\n", "Loss test\n", "[0.005002292338758707, 0.004470517858862877, 1.0635496377944946]\n", "--------------- Epoch 256 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33144935965538025 0.32563573122024536 [0.0037922949995845556, 0.0033421050757169724, 0.9003797173500061]\n", "Loss test\n", "[0.005012924782931805, 0.004556526895612478, 0.912795901298523]\n", "--------------- Epoch 257 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3297049403190613 0.3235258460044861 [0.003936415538191795, 0.0034207538701593876, 1.0313236713409424]\n", "Loss test\n", "[0.005300160031765699, 0.004783086013048887, 1.034145474433899]\n", "--------------- Epoch 258 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32573217153549194 0.3252280652523041 [0.0038740450982004404, 0.003314198227599263, 1.1196935176849365]\n", "Loss test\n", "[0.005116004962474108, 0.0045553711242973804, 1.1212694644927979]\n", "--------------- Epoch 259 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3151516914367676 0.33396804332733154 [0.0037614977918565273, 0.0031419689767062664, 1.2390576601028442]\n", "Loss test\n", "[0.005023641511797905, 0.004403086844831705, 1.2411099672317505]\n", "--------------- Epoch 260 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3100428879261017 0.3366139531135559 [0.0034391689114272594, 0.0029690030496567488, 0.9403319358825684]\n", "Loss test\n", "[0.004879045765846968, 0.004412833601236343, 0.9324244856834412]\n", "--------------- Epoch 261 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31307655572891235 0.32101309299468994 [0.0035865516401827335, 0.00312551436945796, 0.9220744371414185]\n", "Loss test\n", "[0.004998255055397749, 0.004529167432337999, 0.9381729364395142]\n", "--------------- Epoch 262 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31792086362838745 0.3137231469154358 [0.0037960547488182783, 0.0032276720739901066, 1.1367652416229248]\n", "Loss test\n", "[0.004955010954290628, 0.004382286686450243, 1.1454460620880127]\n", "--------------- Epoch 263 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31612467765808105 0.31534674763679504 [0.0034869364462792873, 0.0029599887784570456, 1.0538952350616455]\n", "Loss test\n", "[0.004819061141461134, 0.004294653423130512, 1.0488139390945435]\n", "--------------- Epoch 264 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.318819522857666 0.33859628438949585 [0.0036396291106939316, 0.0030769971199333668, 1.1252639293670654]\n", "Loss test\n", "[0.00495738023892045, 0.004397244192659855, 1.1202714443206787]\n", "--------------- Epoch 265 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.3260180354118347 0.32103049755096436 [0.0035731690004467964, 0.0030201119370758533, 1.1061142683029175]\n", "Loss test\n", "[0.005114364437758923, 0.004562435671687126, 1.1038583517074585]\n", "--------------- Epoch 266 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3205162584781647 0.32927200198173523 [0.003777826204895973, 0.0032560289837419987, 1.0435941219329834]\n", "Loss test\n", "[0.005401751026511192, 0.004878230858594179, 1.047041893005371]\n", "--------------- Epoch 267 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32942160964012146 0.33311453461647034 [0.003984492272138596, 0.0033702864311635494, 1.2284120321273804]\n", "Loss test\n", "[0.005028112791478634, 0.00441518472507596, 1.2258579730987549]\n", "--------------- Epoch 268 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3316256105899811 0.34122753143310547 [0.0038241937290877104, 0.003178325481712818, 1.2917366027832031]\n", "Loss test\n", "[0.004999748431146145, 0.004353051073849201, 1.2933933734893799]\n", "--------------- Epoch 269 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33150413632392883 0.3235366940498352 [0.0038182521238923073, 0.003232981078326702, 1.1705421209335327]\n", "Loss test\n", "[0.004948411136865616, 0.004360211547464132, 1.1763983964920044]\n", "--------------- Epoch 270 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3196043372154236 0.32998472452163696 [0.0035070031881332397, 0.003044856246560812, 0.9242939352989197]\n", "Loss test\n", "[0.0047641657292842865, 0.004298108629882336, 0.9321154952049255]\n", "--------------- Epoch 271 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3221149444580078 0.32807525992393494 [0.003416871652007103, 0.0028751962818205357, 1.0833505392074585]\n", "Loss test\n", "[0.004850067663937807, 0.004307623021304607, 1.0848872661590576]\n", "--------------- Epoch 272 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3376186192035675 0.31898218393325806 [0.0036948537454009056, 0.0031178323552012444, 1.1540426015853882]\n", "Loss test\n", "[0.004924837499856949, 0.004353634547442198, 1.1424071788787842]\n", "--------------- Epoch 273 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32746660709381104 0.3357008993625641 [0.0038539841771125793, 0.0032758149318397045, 1.1563382148742676]\n", "Loss test\n", "[0.004866322036832571, 0.004291304852813482, 1.1500365734100342]\n", "--------------- Epoch 274 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3162563145160675 0.3231041431427002 [0.0036332823801785707, 0.0030725286342203617, 1.1215074062347412]\n", "Loss test\n", "[0.005037188064306974, 0.004469117149710655, 1.1361430883407593]\n", "--------------- Epoch 275 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3242890536785126 0.31577929854393005 [0.0035847031977027655, 0.0029787214007228613, 1.2119636535644531]\n", "Loss test\n", "[0.004951075185090303, 0.004346417263150215, 1.2093160152435303]\n", "--------------- Epoch 276 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3294169008731842 0.3363756239414215 [0.0037786364555358887, 0.003231463022530079, 1.0943467617034912]\n", "Loss test\n", "[0.0049897911958396435, 0.0044380961917340755, 1.103389024734497]\n", "--------------- Epoch 277 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3283103406429291 0.33147910237312317 [0.0036511870566755533, 0.003148213494569063, 1.0059471130371094]\n", "Loss test\n", "[0.00498720770701766, 0.004482761025428772, 1.0088931322097778]\n", "--------------- Epoch 278 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3229547142982483 0.32351619005203247 [0.0034362534061074257, 0.0028736835811287165, 1.1251397132873535]\n", "Loss test\n", "[0.004988634493201971, 0.004424877930432558, 1.1275111436843872]\n", "--------------- Epoch 279 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3241793215274811 0.32739078998565674 [0.0038139820098876953, 0.0032479548826813698, 1.1320539712905884]\n", "Loss test\n", "[0.004983666818588972, 0.004419977776706219, 1.1273783445358276]\n", "--------------- Epoch 280 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33272451162338257 0.3197863698005676 [0.003601223696023226, 0.0030689388513565063, 1.0645697116851807]\n", "Loss test\n", "[0.004857991822063923, 0.0043223025277256966, 1.0713794231414795]\n", "--------------- Epoch 281 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3459492325782776 0.3457428812980652 [0.003460239851847291, 0.002843338530510664, 1.2338025569915771]\n", "Loss test\n", "[0.005060664378106594, 0.00444130739197135, 1.2387144565582275]\n", "--------------- Epoch 282 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3403555154800415 0.3211599588394165 [0.0035426162648946047, 0.002943979110568762, 1.197274088859558]\n", "Loss test\n", "[0.004861223045736551, 0.004267649259418249, 1.1871459484100342]\n", "--------------- Epoch 283 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3290070593357086 0.33506131172180176 [0.0034481275361031294, 0.002755104098469019, 1.3860466480255127]\n", "Loss test\n", "[0.00516784843057394, 0.0044791256077587605, 1.3774452209472656]\n", "--------------- Epoch 284 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3171752989292145 0.3319873809814453 [0.003503363113850355, 0.002867838367819786, 1.27104914188385]\n", "Loss test\n", "[0.004965422209352255, 0.004326065070927143, 1.2787162065505981]\n", "--------------- Epoch 285 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3158695101737976 0.3173459768295288 [0.003511564340442419, 0.002833849750459194, 1.3554290533065796]\n", "Loss test\n", "[0.0050453245639801025, 0.004366612061858177, 1.357425570487976]\n", "--------------- Epoch 286 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.350132554769516 0.3256227374076843 [0.003603555029258132, 0.002917561214417219, 1.3719877004623413]\n", "Loss test\n", "[0.00508678425103426, 0.004401759244501591, 1.3700520992279053]\n", "--------------- Epoch 287 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3325263559818268 0.3214679956436157 [0.003383008297532797, 0.002891139592975378, 0.9837371706962585]\n", "Loss test\n", "[0.004884894005954266, 0.004393031354993582, 0.9837253093719482]\n", "--------------- Epoch 288 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32054027915000916 0.3445534110069275 [0.003505140310153365, 0.003013087436556816, 0.9841055274009705]\n", "Loss test\n", "[0.004984335508197546, 0.004490463994443417, 0.9877436757087708]\n", "--------------- Epoch 289 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3197144567966461 0.3291056156158447 [0.0032213018275797367, 0.0027321456000208855, 0.978312611579895]\n", "Loss test\n", "[0.004828788805752993, 0.004332414828240871, 0.9927478432655334]\n", "--------------- Epoch 290 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32530632615089417 0.33364635705947876 [0.0035714097321033478, 0.0030338794458657503, 1.0750603675842285]\n", "Loss test\n", "[0.004906329791992903, 0.0043715727515518665, 1.0695126056671143]\n", "--------------- Epoch 291 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3246890902519226 0.32733607292175293 [0.0034424602054059505, 0.002943803556263447, 0.9973131418228149]\n", "Loss test\n", "[0.005127666983753443, 0.0046270666643977165, 1.0012006759643555]\n", "--------------- Epoch 292 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32348141074180603 0.32008981704711914 [0.0033732703886926174, 0.0028315014205873013, 1.0835380554199219]\n", "Loss test\n", "[0.004815889056771994, 0.004271777346730232, 1.0882221460342407]\n", "--------------- Epoch 293 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34363293647766113 0.3293052315711975 [0.0033774785697460175, 0.0027766611892729998, 1.2016346454620361]\n", "Loss test\n", "[0.004897197242826223, 0.004295651335269213, 1.2030906677246094]\n", "--------------- Epoch 294 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3406248688697815 0.3240649104118347 [0.0032972146291285753, 0.002819012850522995, 0.9564036130905151]\n", "Loss test\n", "[0.004935097880661488, 0.00445392495021224, 0.9623457193374634]\n", "--------------- Epoch 295 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3272935748100281 0.3190763592720032 [0.0032281624153256416, 0.0027188281528651714, 1.0186684131622314]\n", "Loss test\n", "[0.004892558325082064, 0.004384045023471117, 1.017027497291565]\n", "--------------- Epoch 296 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3205330967903137 0.3372112512588501 [0.003353813197463751, 0.0027961130253970623, 1.1154001951217651]\n", "Loss test\n", "[0.004909907467663288, 0.004348710644990206, 1.122394323348999]\n", "--------------- Epoch 297 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3197847604751587 0.33225443959236145 [0.0033529954962432384, 0.0027812221087515354, 1.143546462059021]\n", "Loss test\n", "[0.004818211309611797, 0.0042481026612222195, 1.1402151584625244]\n", "--------------- Epoch 298 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.31898826360702515 0.3341437578201294 [0.003637696383520961, 0.00301348976790905, 1.2484130859375]\n", "Loss test\n", "[0.005253266543149948, 0.0046271695755422115, 1.2521944046020508]\n", "--------------- Epoch 299 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3315201997756958 0.315360426902771 [0.003667157143354416, 0.0030587988439947367, 1.2167167663574219]\n", "Loss test\n", "[0.004914301447570324, 0.004304394591599703, 1.2198125123977661]\n", "--------------- Epoch 300 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3219660520553589 0.32160311937332153 [0.003401793073862791, 0.002824245486408472, 1.155094861984253]\n", "Loss test\n", "[0.004918275400996208, 0.0043366821482777596, 1.1631890535354614]\n", "--------------- Epoch 301 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3156992197036743 0.33301323652267456 [0.0033000921830534935, 0.0028096302412450314, 0.9809237122535706]\n", "Loss test\n", "[0.00481432257220149, 0.004324723035097122, 0.9791961312294006]\n", "--------------- Epoch 302 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32164761424064636 0.325481116771698 [0.00329741183668375, 0.002720448188483715, 1.1539273262023926]\n", "Loss test\n", "[0.004945322871208191, 0.004372492898255587, 1.1456620693206787]\n", "--------------- Epoch 303 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3318139612674713 0.3240436911582947 [0.0033517153933644295, 0.0028008967638015747, 1.1016370058059692]\n", "Loss test\n", "[0.0051521374844014645, 0.004599778912961483, 1.1047167778015137]\n", "--------------- Epoch 304 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31467366218566895 0.3416474163532257 [0.0033911652863025665, 0.0029014667961746454, 0.9793968200683594]\n", "Loss test\n", "[0.004792997147887945, 0.004303719382733107, 0.9785541296005249]\n", "--------------- Epoch 305 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33374372124671936 0.3325883150100708 [0.003428375581279397, 0.0028562075458467007, 1.1443359851837158]\n", "Loss test\n", "[0.004820514004677534, 0.004243781324476004, 1.1534640789031982]\n", "--------------- Epoch 306 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32586267590522766 0.3415844142436981 [0.003582909470424056, 0.002982818055897951, 1.2001826763153076]\n", "Loss test\n", "[0.0049949949607253075, 0.004391292575746775, 1.2074037790298462]\n", "--------------- Epoch 307 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3272697329521179 0.3278067409992218 [0.0029952956829220057, 0.0025880178436636925, 0.8145557641983032]\n", "Loss test\n", "[0.004953269846737385, 0.00454378966242075, 0.8189600706100464]\n", "--------------- Epoch 308 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31969571113586426 0.318037748336792 [0.0035271374508738518, 0.0028509318362921476, 1.3524112701416016]\n", "Loss test\n", "[0.004956277087330818, 0.004280264023691416, 1.35202956199646]\n", "--------------- Epoch 309 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32446593046188354 0.3165065348148346 [0.003237877506762743, 0.0026111388579010963, 1.2534773349761963]\n", "Loss test\n", "[0.004989272449165583, 0.004371485207229853, 1.2355729341506958]\n", "--------------- Epoch 310 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33421701192855835 0.32917526364326477 [0.0033483989536762238, 0.002773193409666419, 1.1504112482070923]\n", "Loss test\n", "[0.004919963423162699, 0.004342923406511545, 1.1540827751159668]\n", "--------------- Epoch 311 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33957943320274353 0.33223214745521545 [0.0033989076036959887, 0.0028582399245351553, 1.0813353061676025]\n", "Loss test\n", "[0.005210683215409517, 0.004669335670769215, 1.08269464969635]\n", "--------------- Epoch 312 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3289976119995117 0.320604532957077 [0.0031432840041816235, 0.0025913212448358536, 1.1039252281188965]\n", "Loss test\n", "[0.004890900105237961, 0.004332813899964094, 1.1161730289459229]\n", "--------------- Epoch 313 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3194514811038971 0.3187786042690277 [0.0033820446114987135, 0.0028502263594418764, 1.063636302947998]\n", "Loss test\n", "[0.0048367674462497234, 0.004307646304368973, 1.058241605758667]\n", "--------------- Epoch 314 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3316318690776825 0.34355905652046204 [0.003183809807524085, 0.0026047031860798597, 1.1582131385803223]\n", "Loss test\n", "[0.005100646521896124, 0.004522852133959532, 1.1555882692337036]\n", "--------------- Epoch 315 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3300829231739044 0.32502245903015137 [0.003194579854607582, 0.002646456006914377, 1.0962474346160889]\n", "Loss test\n", "[0.004941883031278849, 0.004394227638840675, 1.0953108072280884]\n", "--------------- Epoch 316 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3191465139389038 0.32453376054763794 [0.0032441094517707825, 0.0026502213440835476, 1.1877760887145996]\n", "Loss test\n", "[0.005080448929220438, 0.004485377576202154, 1.190144658088684]\n", "--------------- Epoch 317 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3201760947704315 0.34151506423950195 [0.0032710127998143435, 0.0027680424973368645, 1.0059406757354736]\n", "Loss test\n", "[0.005030844826251268, 0.004527039360255003, 1.0076104402542114]\n", "--------------- Epoch 318 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3322533965110779 0.32230865955352783 [0.003862607991322875, 0.003323931712657213, 1.077352523803711]\n", "Loss test\n", "[0.0051612453535199165, 0.00462198443710804, 1.0785201787948608]\n", "--------------- Epoch 319 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.35053786635398865 0.31355345249176025 [0.003388868412002921, 0.0028425457421690226, 1.0926451683044434]\n", "Loss test\n", "[0.0051928935572505, 0.004649333190172911, 1.087120532989502]\n", "--------------- Epoch 320 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32391539216041565 0.3140130043029785 [0.003276100615039468, 0.0027057828847318888, 1.1406354904174805]\n", "Loss test\n", "[0.0049291872419416904, 0.004360803868621588, 1.136766791343689]\n", "--------------- Epoch 321 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3241785168647766 0.3264046311378479 [0.0035456845071166754, 0.0029107879381626844, 1.2697930335998535]\n", "Loss test\n", "[0.005026837345212698, 0.004399299155920744, 1.2550753355026245]\n", "--------------- Epoch 322 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33486640453338623 0.3176879286766052 [0.0032293323893100023, 0.002732223365455866, 0.9942179918289185]\n", "Loss test\n", "[0.0048037501983344555, 0.00431059580296278, 0.9863077998161316]\n", "--------------- Epoch 323 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33312809467315674 0.31947746872901917 [0.007221767213195562, 0.006643971428275108, 1.1555918455123901]\n", "Loss test\n", "[0.018329516053199768, 0.017747588455677032, 1.1638548374176025]\n", "--------------- Epoch 324 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32946324348449707 0.33290591835975647 [0.0044523123651742935, 0.0039142947643995285, 1.0760352611541748]\n", "Loss test\n", "[0.005245600827038288, 0.004705371335148811, 1.0804598331451416]\n", "--------------- Epoch 325 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3269187808036804 0.3267998993396759 [0.003859346965327859, 0.0033087963238358498, 1.1011013984680176]\n", "Loss test\n", "[0.0051827323623001575, 0.004633109550923109, 1.0992454290390015]\n", "--------------- Epoch 326 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33731400966644287 0.3266447186470032 [0.004140164237469435, 0.0036350274458527565, 1.0102735757827759]\n", "Loss test\n", "[0.005319624673575163, 0.004811834078282118, 1.015578031539917]\n", "--------------- Epoch 327 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.30979397892951965 0.30979424715042114 [0.003569308202713728, 0.003064166521653533, 1.0102835893630981]\n", "Loss test\n", "[0.004947298672050238, 0.004441215191036463, 1.0121678113937378]\n", "--------------- Epoch 328 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.317270427942276 0.3252996504306793 [0.003470500698313117, 0.002937686862424016, 1.0656274557113647]\n", "Loss test\n", "[0.00495097367092967, 0.004425047896802425, 1.051852822303772]\n", "--------------- Epoch 329 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3227039575576782 0.3238474130630493 [0.003491572570055723, 0.0029126633889973164, 1.1578185558319092]\n", "Loss test\n", "[0.0047985585406422615, 0.0042181117460131645, 1.1608933210372925]\n", "--------------- Epoch 330 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31546497344970703 0.32604753971099854 [0.0034129151608794928, 0.002772131934762001, 1.2815663814544678]\n", "Loss test\n", "[0.004940739367157221, 0.004303294233977795, 1.274888515472412]\n", "--------------- Epoch 331 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.3248291313648224 0.33887025713920593 [0.003266723593696952, 0.0026607224717736244, 1.2120022773742676]\n", "Loss test\n", "[0.004820933099836111, 0.004213265608996153, 1.2153338193893433]\n", "--------------- Epoch 332 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3266918957233429 0.32457903027534485 [0.0034743736032396555, 0.002926922868937254, 1.0949015617370605]\n", "Loss test\n", "[0.004792611580342054, 0.00424824096262455, 1.088739275932312]\n", "--------------- Epoch 333 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32764336466789246 0.32865792512893677 [0.0033226273953914642, 0.0027266149409115314, 1.1920249462127686]\n", "Loss test\n", "[0.004914156626909971, 0.004318343009799719, 1.1916286945343018]\n", "--------------- Epoch 334 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.330899178981781 0.31957772374153137 [0.003684063209220767, 0.0031036597210913897, 1.1608070135116577]\n", "Loss test\n", "[0.005026426166296005, 0.004443516489118338, 1.1658164262771606]\n", "--------------- Epoch 335 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3264930844306946 0.3079180121421814 [0.003440307918936014, 0.0028956481255590916, 1.0893194675445557]\n", "Loss test\n", "[0.004790801554918289, 0.004247363656759262, 1.0868765115737915]\n", "--------------- Epoch 336 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.2998497188091278 0.32219114899635315 [0.003274881513789296, 0.0027567902579903603, 1.0361824035644531]\n", "Loss test\n", "[0.004791717976331711, 0.004267995711416006, 1.04744291305542]\n", "--------------- Epoch 337 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3336002230644226 0.32041966915130615 [0.0032660923898220062, 0.0027152500115334988, 1.1016849279403687]\n", "Loss test\n", "[0.004978429060429335, 0.0044242264702916145, 1.1084049940109253]\n", "--------------- Epoch 338 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3318208158016205 0.3257372975349426 [0.0030021429993212223, 0.0025070549454540014, 0.9901760816574097]\n", "Loss test\n", "[0.004761992488056421, 0.004263449925929308, 0.9970847368240356]\n", "--------------- Epoch 339 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.30939552187919617 0.3191474676132202 [0.0032096689101308584, 0.0026064240373671055, 1.2064896821975708]\n", "Loss test\n", "[0.005016908515244722, 0.004413198679685593, 1.207419753074646]\n", "--------------- Epoch 340 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3246833384037018 0.33325955271720886 [0.003104613861069083, 0.002543117618188262, 1.1229922771453857]\n", "Loss test\n", "[0.004976208321750164, 0.004416842013597488, 1.1187314987182617]\n", "--------------- Epoch 341 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3342979848384857 0.332096129655838 [0.003105174982920289, 0.002554375911131501, 1.1015981435775757]\n", "Loss test\n", "[0.004810324404388666, 0.004256718326359987, 1.1072109937667847]\n", "--------------- Epoch 342 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32640835642814636 0.30760428309440613 [0.0031599020585417747, 0.002507114317268133, 1.3055753707885742]\n", "Loss test\n", "[0.0049619292840361595, 0.0043064807541668415, 1.3108986616134644]\n", "--------------- Epoch 343 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3054976165294647 0.32675114274024963 [0.0029511889442801476, 0.0024955212138593197, 0.911335289478302]\n", "Loss test\n", "[0.004818569403141737, 0.004362278152257204, 0.912585437297821]\n", "--------------- Epoch 344 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32428088784217834 0.31396427750587463 [0.0029050202574580908, 0.002410757588222623, 0.9885251522064209]\n", "Loss test\n", "[0.004818399902433157, 0.004321207758039236, 0.9943825006484985]\n", "--------------- Epoch 345 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3357849717140198 0.33812886476516724 [0.0031427189242094755, 0.0025995024479925632, 1.0864330530166626]\n", "Loss test\n", "[0.004902558401226997, 0.004357493482530117, 1.090128779411316]\n", "--------------- Epoch 346 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3215274512767792 0.3363301455974579 [0.0030141302850097418, 0.0024627179373055696, 1.1028248071670532]\n", "Loss test\n", "[0.004971928428858519, 0.004423406440764666, 1.097046136856079]\n", "--------------- Epoch 347 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3355768918991089 0.32108014822006226 [0.0030692829750478268, 0.0024851064663380384, 1.1683531999588013]\n", "Loss test\n", "[0.004934704862535, 0.004358374979346991, 1.1526575088500977]\n", "--------------- Epoch 348 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3143427073955536 0.32734495401382446 [0.002986474661156535, 0.002430136315524578, 1.1126766204833984]\n", "Loss test\n", "[0.004914120305329561, 0.004355326294898987, 1.1175885200500488]\n", "--------------- Epoch 349 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31776922941207886 0.33925682306289673 [0.003186984686180949, 0.002627995330840349, 1.117978811264038]\n", "Loss test\n", "[0.005284648388624191, 0.00472397031262517, 1.1213535070419312]\n", "--------------- Epoch 350 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32439371943473816 0.3223971724510193 [0.002808605320751667, 0.00228805560618639, 1.0410996675491333]\n", "Loss test\n", "[0.004766652826219797, 0.004241526126861572, 1.0502525568008423]\n", "--------------- Epoch 351 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.30570727586746216 0.3219350278377533 [0.0028469422832131386, 0.002382389735430479, 0.9291048049926758]\n", "Loss test\n", "[0.0048089539632201195, 0.00434601865708828, 0.9258717894554138]\n", "--------------- Epoch 352 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32666975259780884 0.33013656735420227 [0.002967523643746972, 0.002390577457845211, 1.1538922786712646]\n", "Loss test\n", "[0.005204281769692898, 0.004627510905265808, 1.153541922569275]\n", "--------------- Epoch 353 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32692793011665344 0.3331097662448883 [0.0030327914282679558, 0.0025195241905748844, 1.0265341997146606]\n", "Loss test\n", "[0.004936543758958578, 0.004425393883138895, 1.022300124168396]\n", "--------------- Epoch 354 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32235461473464966 0.31621038913726807 [0.0028918113093823195, 0.002320297295227647, 1.143027901649475]\n", "Loss test\n", "[0.004850402474403381, 0.004279468208551407, 1.1418671607971191]\n", "--------------- Epoch 355 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32894325256347656 0.34742969274520874 [0.0033936460968106985, 0.002786637982353568, 1.2140161991119385]\n", "Loss test\n", "[0.0050139045342803, 0.004412968643009663, 1.2018730640411377]\n", "--------------- Epoch 356 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31450003385543823 0.3211939334869385 [0.0031067526433616877, 0.002554561011493206, 1.1043832302093506]\n", "Loss test\n", "[0.004895661026239395, 0.004345846828073263, 1.0996283292770386]\n", "--------------- Epoch 357 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33886900544166565 0.32337895035743713 [0.0031546740792691708, 0.0026038452051579952, 1.1016576290130615]\n", "Loss test\n", "[0.004944425541907549, 0.00438957754522562, 1.1096961498260498]\n", "--------------- Epoch 358 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3198276162147522 0.33097365498542786 [0.002999321324750781, 0.002448593033477664, 1.1014565229415894]\n", "Loss test\n", "[0.00498858792707324, 0.0044387527741491795, 1.0996708869934082]\n", "--------------- Epoch 359 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32398363947868347 0.3259981870651245 [0.002761208452284336, 0.0022028526291251183, 1.1167114973068237]\n", "Loss test\n", "[0.004835132509469986, 0.00427629891782999, 1.1176679134368896]\n", "--------------- Epoch 360 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3117286264896393 0.3333240747451782 [0.0029589799232780933, 0.002391759306192398, 1.1344410181045532]\n", "Loss test\n", "[0.005471480544656515, 0.004907534457743168, 1.1278926134109497]\n", "--------------- Epoch 361 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33297231793403625 0.3329308331012726 [0.002786727622151375, 0.002231057733297348, 1.111339807510376]\n", "Loss test\n", "[0.004864690825343132, 0.004312112461775541, 1.1051586866378784]\n", "--------------- Epoch 362 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31726792454719543 0.33736079931259155 [0.002945339772850275, 0.002408189931884408, 1.074299693107605]\n", "Loss test\n", "[0.004887970630079508, 0.004354603122919798, 1.0667338371276855]\n", "--------------- Epoch 363 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32431405782699585 0.334099680185318 [0.0028607649728655815, 0.0023514400236308575, 1.018649935722351]\n", "Loss test\n", "[0.0047377017326653, 0.004227285739034414, 1.0208314657211304]\n", "--------------- Epoch 364 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.31785082817077637 0.32074224948883057 [0.002920637372881174, 0.002419258002191782, 1.0027589797973633]\n", "Loss test\n", "[0.004834224469959736, 0.004328077659010887, 1.0122923851013184]\n", "--------------- Epoch 365 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3260791301727295 0.32497671246528625 [0.002726188628003001, 0.00213037570938468, 1.1916258335113525]\n", "Loss test\n", "[0.004865956027060747, 0.0042733545415103436, 1.1852024793624878]\n", "--------------- Epoch 366 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.322323739528656 0.35112833976745605 [0.003041342366486788, 0.002484417287632823, 1.1138503551483154]\n", "Loss test\n", "[0.00481915008276701, 0.004265176597982645, 1.1079460382461548]\n", "--------------- Epoch 367 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32643550634384155 0.3308731019496918 [0.002751353895291686, 0.0022546860855072737, 0.9933354258537292]\n", "Loss test\n", "[0.004694877192378044, 0.004195926710963249, 0.9979032278060913]\n", "--------------- Epoch 368 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3298124670982361 0.33342820405960083 [0.0029865943361073732, 0.002474574837833643, 1.0240387916564941]\n", "Loss test\n", "[0.004773007705807686, 0.004262438975274563, 1.0211372375488281]\n", "--------------- Epoch 369 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3280823826789856 0.33161935210227966 [0.002862726803869009, 0.0023608412593603134, 1.003771185874939]\n", "Loss test\n", "[0.004815863445401192, 0.004315114114433527, 1.0014982223510742]\n", "--------------- Epoch 370 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3326025903224945 0.3289550244808197 [0.002809345256537199, 0.0022427395451813936, 1.133211374282837]\n", "Loss test\n", "[0.004965064115822315, 0.004400445148348808, 1.1292401552200317]\n", "--------------- Epoch 371 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32393571734428406 0.3412119448184967 [0.0026497207581996918, 0.0021660286001861095, 0.9673840403556824]\n", "Loss test\n", "[0.004808848258107901, 0.004333697725087404, 0.9503012299537659]\n", "--------------- Epoch 372 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31506142020225525 0.3448335826396942 [0.0028647202998399734, 0.0023257206194102764, 1.0779991149902344]\n", "Loss test\n", "[0.004966211970895529, 0.004428812302649021, 1.0748029947280884]\n", "--------------- Epoch 373 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3244816064834595 0.3258329927921295 [0.0028747832402586937, 0.0023458250798285007, 1.0579160451889038]\n", "Loss test\n", "[0.004782167728990316, 0.004253487568348646, 1.0573610067367554]\n", "--------------- Epoch 374 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31679847836494446 0.32603928446769714 [0.002774653024971485, 0.0022539710626006126, 1.0413639545440674]\n", "Loss test\n", "[0.005307492334395647, 0.00478751678019762, 1.0399516820907593]\n", "--------------- Epoch 375 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32987940311431885 0.34134432673454285 [0.0029417381156235933, 0.0023625483736395836, 1.1583795547485352]\n", "Loss test\n", "[0.004892236553132534, 0.004310017917305231, 1.1644392013549805]\n", "--------------- Epoch 376 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3243315517902374 0.3316374719142914 [0.0027425482403486967, 0.0021567409858107567, 1.171614408493042]\n", "Loss test\n", "[0.004908408038318157, 0.004324586130678654, 1.1676448583602905]\n", "--------------- Epoch 377 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33067166805267334 0.3184679448604584 [0.0027502807788550854, 0.0021903477609157562, 1.119866132736206]\n", "Loss test\n", "[0.00483734393492341, 0.004277545493096113, 1.1195971965789795]\n", "--------------- Epoch 378 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3318589925765991 0.3408953547477722 [0.002641418483108282, 0.002126565668731928, 1.0297057628631592]\n", "Loss test\n", "[0.00527419475838542, 0.00475843483582139, 1.0315197706222534]\n", "--------------- Epoch 379 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31326398253440857 0.3372710943222046 [0.0029800834599882364, 0.00239581405185163, 1.1685389280319214]\n", "Loss test\n", "[0.0051005189307034016, 0.004511712584644556, 1.177613615989685]\n", "--------------- Epoch 380 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3359912037849426 0.3250589668750763 [0.0030061500146985054, 0.0024600429460406303, 1.0922138690948486]\n", "Loss test\n", "[0.004827016033232212, 0.004284722730517387, 1.0845857858657837]\n", "--------------- Epoch 381 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31747594475746155 0.3143072724342346 [0.002951886970549822, 0.0024440805427730083, 1.0156129598617554]\n", "Loss test\n", "[0.005022060591727495, 0.004519339185208082, 1.005442500114441]\n", "--------------- Epoch 382 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3249399960041046 0.34005671739578247 [0.002817713189870119, 0.002256035339087248, 1.123355746269226]\n", "Loss test\n", "[0.005109123419970274, 0.004556814208626747, 1.104620099067688]\n", "--------------- Epoch 383 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3166164755821228 0.3265589773654938 [0.0028061685152351856, 0.002306510927155614, 0.9993150234222412]\n", "Loss test\n", "[0.004846872761845589, 0.004342703614383936, 1.0083391666412354]\n", "--------------- Epoch 384 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3237346112728119 0.33159807324409485 [0.0028124277014285326, 0.0022750103380531073, 1.0748348236083984]\n", "Loss test\n", "[0.004924829117953777, 0.0043905070051550865, 1.0686421394348145]\n", "--------------- Epoch 385 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.329435259103775 0.3206307590007782 [0.002870718017220497, 0.0023052303586155176, 1.1309754848480225]\n", "Loss test\n", "[0.004789773374795914, 0.0042242975905537605, 1.1309524774551392]\n", "--------------- Epoch 386 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32006382942199707 0.32656052708625793 [0.0025959869381040335, 0.002080978825688362, 1.0300161838531494]\n", "Loss test\n", "[0.004806755110621452, 0.0042919376865029335, 1.029636025428772]\n", "--------------- Epoch 387 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31723013520240784 0.329581618309021 [0.002675109775736928, 0.0021505269687622786, 1.0491656064987183]\n", "Loss test\n", "[0.004745530895888805, 0.004222116898745298, 1.0468246936798096]\n", "--------------- Epoch 388 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33891770243644714 0.33301621675491333 [0.0026522367261350155, 0.0021123578771948814, 1.079757571220398]\n", "Loss test\n", "[0.004789297003298998, 0.0042518675327301025, 1.0748580694198608]\n", "--------------- Epoch 389 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34191715717315674 0.3264513611793518 [0.0026339946780353785, 0.002127115149050951, 1.0137591361999512]\n", "Loss test\n", "[0.0050635747611522675, 0.004563247784972191, 1.0006548166275024]\n", "--------------- Epoch 390 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3227393329143524 0.33664336800575256 [0.0026168746408075094, 0.002133191330358386, 0.9673667550086975]\n", "Loss test\n", "[0.005003201775252819, 0.004521192517131567, 0.9640174508094788]\n", "--------------- Epoch 391 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3235223889350891 0.31654566526412964 [0.0027182945050299168, 0.0022089937701821327, 1.018601417541504]\n", "Loss test\n", "[0.004873290657997131, 0.004367392044514418, 1.0117990970611572]\n", "--------------- Epoch 392 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.324078768491745 0.32799845933914185 [0.002920913975685835, 0.002433737739920616, 0.9743521809577942]\n", "Loss test\n", "[0.00506147276610136, 0.00457347696647048, 0.975994884967804]\n", "--------------- Epoch 393 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3189147114753723 0.335954874753952 [0.0027123838663101196, 0.002232891973108053, 0.9589836597442627]\n", "Loss test\n", "[0.004981447011232376, 0.004500327631831169, 0.962239146232605]\n", "--------------- Epoch 394 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31737351417541504 0.3291545808315277 [0.004549822304397821, 0.004055734723806381, 0.9881747961044312]\n", "Loss test\n", "[0.00764516182243824, 0.007151612546294928, 0.9870973229408264]\n", "--------------- Epoch 395 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3328782021999359 0.3187107443809509 [0.00413177628070116, 0.003500321414321661, 1.2629097700119019]\n", "Loss test\n", "[0.005213627126067877, 0.004585597198456526, 1.2560570240020752]\n", "--------------- Epoch 396 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3256348669528961 0.3289722204208374 [0.0032427487894892693, 0.002702700439840555, 1.08009672164917]\n", "Loss test\n", "[0.004876305814832449, 0.004336213693022728, 1.0801827907562256]\n", "--------------- Epoch 397 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.3300936222076416 0.31815457344055176 [0.0031906506046652794, 0.002628345973789692, 1.1246089935302734]\n", "Loss test\n", "[0.004834894090890884, 0.004278245382010937, 1.1132991313934326]\n", "--------------- Epoch 398 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3183840215206146 0.31629306077957153 [0.0030220497865229845, 0.0024931696243584156, 1.057760238647461]\n", "Loss test\n", "[0.004808325786143541, 0.004278169013559818, 1.0603147745132446]\n", "--------------- Epoch 399 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33881616592407227 0.33964577317237854 [0.0028005512431263924, 0.0023309325333684683, 0.9392375946044922]\n", "Loss test\n", "[0.004782551899552345, 0.004312851000577211, 0.9394003748893738]\n", "--------------- Epoch 400 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3256502151489258 0.32650238275527954 [0.002947833389043808, 0.002385640051215887, 1.1243866682052612]\n", "Loss test\n", "[0.005218828562647104, 0.004658848512917757, 1.119958519935608]\n", "--------------- Epoch 401 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3280869126319885 0.306311696767807 [0.0027893553487956524, 0.002286795759573579, 1.0051188468933105]\n", "Loss test\n", "[0.0048675816506147385, 0.004362202249467373, 1.0107581615447998]\n", "--------------- Epoch 402 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3191113770008087 0.3260873556137085 [0.0027228710241615772, 0.0022355257533490658, 0.9746902585029602]\n", "Loss test\n", "[0.004823154304176569, 0.004331277683377266, 0.9837530851364136]\n", "--------------- Epoch 403 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.330474853515625 0.32656919956207275 [0.002790577942505479, 0.002267262199893594, 1.0466313362121582]\n", "Loss test\n", "[0.004992753732949495, 0.004469309933483601, 1.046889066696167]\n", "--------------- Epoch 404 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33350294828414917 0.32609784603118896 [0.002570281969383359, 0.002056138589978218, 1.0282868146896362]\n", "Loss test\n", "[0.004793369676917791, 0.004280052613466978, 1.0266344547271729]\n", "--------------- Epoch 405 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3269321918487549 0.3250488042831421 [0.002725694328546524, 0.0021735383197665215, 1.1043121814727783]\n", "Loss test\n", "[0.0048425341956317425, 0.0042870561592280865, 1.1109553575515747]\n", "--------------- Epoch 406 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3184700012207031 0.3361199200153351 [0.002504694741219282, 0.0019459918839856982, 1.1174055337905884]\n", "Loss test\n", "[0.004918158520013094, 0.0043591842986643314, 1.1179473400115967]\n", "--------------- Epoch 407 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32450389862060547 0.32150137424468994 [0.0025335850659757853, 0.0019341384759172797, 1.1988929510116577]\n", "Loss test\n", "[0.0048882314004004, 0.004290455486625433, 1.1955527067184448]\n", "--------------- Epoch 408 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33358997106552124 0.3153088092803955 [0.0026409956626594067, 0.002130543114617467, 1.0209051370620728]\n", "Loss test\n", "[0.004816393367946148, 0.00430891802534461, 1.0149515867233276]\n", "--------------- Epoch 409 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32121753692626953 0.3375682830810547 [0.0025968432892113924, 0.0020879667717963457, 1.0177531242370605]\n", "Loss test\n", "[0.004733931738883257, 0.0042222635820508, 1.0233365297317505]\n", "--------------- Epoch 410 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3273807466030121 0.3223746418952942 [0.0024670585989952087, 0.001954548293724656, 1.025020718574524]\n", "Loss test\n", "[0.004844281356781721, 0.004334066994488239, 1.0204302072525024]\n", "--------------- Epoch 411 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32968851923942566 0.3288736343383789 [0.0024648329708725214, 0.0019815696869045496, 0.9665265083312988]\n", "Loss test\n", "[0.004743659868836403, 0.004255625884979963, 0.9760685563087463]\n", "--------------- Epoch 412 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32185977697372437 0.3336026072502136 [0.0024812272749841213, 0.0019793829414993525, 1.0036883354187012]\n", "Loss test\n", "[0.005176170729100704, 0.004674806725233793, 1.0027308464050293]\n", "--------------- Epoch 413 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3257686495780945 0.31630975008010864 [0.002423325087875128, 0.0019505564123392105, 0.9455374479293823]\n", "Loss test\n", "[0.004815815016627312, 0.004341008607298136, 0.9496139287948608]\n", "--------------- Epoch 414 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32020890712738037 0.3248388469219208 [0.0025602392852306366, 0.0020526659209281206, 1.0151466131210327]\n", "Loss test\n", "[0.005010624416172504, 0.004499542526900768, 1.0221643447875977]\n", "--------------- Epoch 415 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32105404138565063 0.32441169023513794 [0.00256261695176363, 0.00201843841932714, 1.0883572101593018]\n", "Loss test\n", "[0.005045609083026648, 0.004505281336605549, 1.0806550979614258]\n", "--------------- Epoch 416 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32220888137817383 0.32085204124450684 [0.002479820279404521, 0.0019330903887748718, 1.0934598445892334]\n", "Loss test\n", "[0.00471586175262928, 0.004169583320617676, 1.0925580263137817]\n", "--------------- Epoch 417 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32523635029792786 0.32721418142318726 [0.0025526341050863266, 0.0019655730575323105, 1.1741220951080322]\n", "Loss test\n", "[0.004948566667735577, 0.004368130583316088, 1.1608729362487793]\n", "--------------- Epoch 418 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.323948472738266 0.3354940414428711 [0.0024656958412379026, 0.002000258769840002, 0.9308739304542542]\n", "Loss test\n", "[0.004843459464609623, 0.0043777767568826675, 0.9313659071922302]\n", "--------------- Epoch 419 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3387945592403412 0.33615827560424805 [0.0027498085983097553, 0.0022277270909398794, 1.0441628694534302]\n", "Loss test\n", "[0.004980721045285463, 0.0044591305777430534, 1.043178677558899]\n", "--------------- Epoch 420 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.34285712242126465 0.34025734663009644 [0.0027209357358515263, 0.0020604217424988747, 1.3210279941558838]\n", "Loss test\n", "[0.005047657992690802, 0.00438685854896903, 1.3215967416763306]\n", "--------------- Epoch 421 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3268320560455322 0.33183562755584717 [0.0027397810481488705, 0.002195121953263879, 1.0893183946609497]\n", "Loss test\n", "[0.004764853045344353, 0.0042178453877568245, 1.0940145254135132]\n", "--------------- Epoch 422 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.309639036655426 0.3314633369445801 [0.002479132730513811, 0.0019282818539068103, 1.1017019748687744]\n", "Loss test\n", "[0.004891096148639917, 0.004342311527580023, 1.0975664854049683]\n", "--------------- Epoch 423 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32253554463386536 0.32094043493270874 [0.002472315449267626, 0.0019382182508707047, 1.0681945085525513]\n", "Loss test\n", "[0.0048502590507268906, 0.004315609112381935, 1.0692999362945557]\n", "--------------- Epoch 424 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33242902159690857 0.31561267375946045 [0.0024194105062633753, 0.0019209400052204728, 0.9969407916069031]\n", "Loss test\n", "[0.004705357365310192, 0.0042047034949064255, 1.001309871673584]\n", "--------------- Epoch 425 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3297686278820038 0.33685141801834106 [0.0023648373316973448, 0.0018553996924310923, 1.0188753604888916]\n", "Loss test\n", "[0.004846868570894003, 0.004338786005973816, 1.016165018081665]\n", "--------------- Epoch 426 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32224544882774353 0.3355647325515747 [0.0024101072922348976, 0.0018974997801706195, 1.0252149105072021]\n", "Loss test\n", "[0.004839705303311348, 0.004326430149376392, 1.0265494585037231]\n", "--------------- Epoch 427 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32118305563926697 0.3389867842197418 [0.002888292074203491, 0.002345769200474024, 1.085045576095581]\n", "Loss test\n", "[0.004898611456155777, 0.004359964281320572, 1.0772922039031982]\n", "--------------- Epoch 428 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32482320070266724 0.3324466645717621 [0.002563919872045517, 0.002069302834570408, 0.9892340302467346]\n", "Loss test\n", "[0.004886329174041748, 0.004391580820083618, 0.9894958138465881]\n", "--------------- Epoch 429 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32906028628349304 0.32534414529800415 [0.002389841713011265, 0.0018928132485598326, 0.9940566420555115]\n", "Loss test\n", "[0.004895032849162817, 0.00439678318798542, 0.9964991807937622]\n", "--------------- Epoch 430 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.33094364404678345 0.31712639331817627 [0.0025265533477067947, 0.002013149671256542, 1.026807427406311]\n", "Loss test\n", "[0.004778544418513775, 0.0042696730233728886, 1.0177429914474487]\n", "--------------- Epoch 431 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31836628913879395 0.32792750000953674 [0.0023813031148165464, 0.0018813369097188115, 0.9999325275421143]\n", "Loss test\n", "[0.004817503038793802, 0.00431636581197381, 1.0022746324539185]\n", "--------------- Epoch 432 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33162063360214233 0.3225913345813751 [0.0032086933497339487, 0.0026861364021897316, 1.0451139211654663]\n", "Loss test\n", "[0.00525143276900053, 0.00472710095345974, 1.0486632585525513]\n", "--------------- Epoch 433 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.326513409614563 0.3266405463218689 [0.0026406152173876762, 0.002165552694350481, 0.9501252174377441]\n", "Loss test\n", "[0.005153370089828968, 0.004677045624703169, 0.9526501893997192]\n", "--------------- Epoch 434 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3272002339363098 0.32374757528305054 [0.0023464015685021877, 0.0018855477683246136, 0.9217073917388916]\n", "Loss test\n", "[0.0047834222204983234, 0.004322342108935118, 0.9221599698066711]\n", "--------------- Epoch 435 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3150026202201843 0.31910157203674316 [0.0025298139080405235, 0.00206080824136734, 0.9380111694335938]\n", "Loss test\n", "[0.00474382471293211, 0.004277936182916164, 0.9317721724510193]\n", "--------------- Epoch 436 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32816141843795776 0.3311973214149475 [0.002450397238135338, 0.0019618384540081024, 0.9771173596382141]\n", "Loss test\n", "[0.0049261776730418205, 0.004437312483787537, 0.9777311086654663]\n", "--------------- Epoch 437 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33379554748535156 0.331051766872406 [0.0024880049750208855, 0.0019382552709430456, 1.0994993448257446]\n", "Loss test\n", "[0.0048806387931108475, 0.004334591794759035, 1.0920939445495605]\n", "--------------- Epoch 438 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33651405572891235 0.3139022886753082 [0.0024782742839306593, 0.0019231992773711681, 1.11014986038208]\n", "Loss test\n", "[0.004899369552731514, 0.004344746470451355, 1.1092464923858643]\n", "--------------- Epoch 439 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3246796429157257 0.33222198486328125 [0.0024237504694610834, 0.0019241486443206668, 0.9992034435272217]\n", "Loss test\n", "[0.004833964630961418, 0.004336958285421133, 0.9940139055252075]\n", "--------------- Epoch 440 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3471129536628723 0.33587244153022766 [0.002389604924246669, 0.0018170296680182219, 1.1451504230499268]\n", "Loss test\n", "[0.005017121788114309, 0.004445438273251057, 1.1433651447296143]\n", "--------------- Epoch 441 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3194332718849182 0.32340317964553833 [0.002259200671687722, 0.001801836653612554, 0.9147278070449829]\n", "Loss test\n", "[0.0050176032818853855, 0.004556960891932249, 0.9212836027145386]\n", "--------------- Epoch 442 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32464107871055603 0.3347240388393402 [0.002453034743666649, 0.0018676510080695152, 1.1707671880722046]\n", "Loss test\n", "[0.005020981188863516, 0.004439018201082945, 1.1639260053634644]\n", "--------------- Epoch 443 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3273305296897888 0.33604592084884644 [0.0024888459593057632, 0.001911357743665576, 1.1549766063690186]\n", "Loss test\n", "[0.005033785942941904, 0.004452976863831282, 1.1616181135177612]\n", "--------------- Epoch 444 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3242940902709961 0.317847341299057 [0.00323277129791677, 0.0027695789467543364, 0.9263845682144165]\n", "Loss test\n", "[0.005773577839136124, 0.005311101209372282, 0.9249556064605713]\n", "--------------- Epoch 445 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3199177384376526 0.3186579644680023 [0.002990669570863247, 0.002508394420146942, 0.9645501375198364]\n", "Loss test\n", "[0.0050770374946296215, 0.004594430327415466, 0.9652136564254761]\n", "--------------- Epoch 446 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3114166855812073 0.30891934037208557 [0.0028944090008735657, 0.0023398147895932198, 1.109188437461853]\n", "Loss test\n", "[0.004849015735089779, 0.004285202361643314, 1.1276254653930664]\n", "--------------- Epoch 447 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3425133526325226 0.3258897662162781 [0.002909308299422264, 0.002280095126479864, 1.2584264278411865]\n", "Loss test\n", "[0.004951694048941135, 0.004322787746787071, 1.2578117847442627]\n", "--------------- Epoch 448 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32628506422042847 0.3372015953063965 [0.0027138139121234417, 0.0020615055691450834, 1.3046164512634277]\n", "Loss test\n", "[0.0049463240429759026, 0.004279683344066143, 1.3332817554473877]\n", "--------------- Epoch 449 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3355700671672821 0.3358372449874878 [0.002660800004377961, 0.002128041349351406, 1.0655174255371094]\n", "Loss test\n", "[0.005293924827128649, 0.004759060684591532, 1.0697277784347534]\n", "--------------- Epoch 450 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32607486844062805 0.33084341883659363 [0.00289837084710598, 0.0022567142732441425, 1.2833130359649658]\n", "Loss test\n", "[0.005041744560003281, 0.004402363207191229, 1.2787649631500244]\n", "--------------- Epoch 451 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32593101263046265 0.33440569043159485 [0.0032000811770558357, 0.002544136717915535, 1.3118889331817627]\n", "Loss test\n", "[0.005815962795168161, 0.005167908500880003, 1.2961045503616333]\n", "--------------- Epoch 452 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32694828510284424 0.3096330165863037 [0.0034160951618105173, 0.0028369631618261337, 1.1582638025283813]\n", "Loss test\n", "[0.006245495285838842, 0.005662908311933279, 1.1651750802993774]\n", "--------------- Epoch 453 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3283165991306305 0.3370293378829956 [0.008153614588081837, 0.007547127548605204, 1.2129745483398438]\n", "Loss test\n", "[0.011965199373662472, 0.011359003372490406, 1.212389349937439]\n", "--------------- Epoch 454 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3455199599266052 0.3128599226474762 [0.006194167770445347, 0.005681863520294428, 1.0246089696884155]\n", "Loss test\n", "[0.006463613361120224, 0.005948405712842941, 1.0304173231124878]\n", "--------------- Epoch 455 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31788796186447144 0.314633846282959 [0.004330418538302183, 0.0037265485152602196, 1.207740306854248]\n", "Loss test\n", "[0.005649809259921312, 0.0050450279377400875, 1.2095615863800049]\n", "--------------- Epoch 456 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31552278995513916 0.3226671814918518 [0.003659665584564209, 0.0030706790275871754, 1.1779732704162598]\n", "Loss test\n", "[0.004908388014882803, 0.004321023356169462, 1.1747310161590576]\n", "--------------- Epoch 457 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3284417390823364 0.3334992825984955 [0.0033044691663235426, 0.0027217152528464794, 1.1655079126358032]\n", "Loss test\n", "[0.005086470860987902, 0.004503319039940834, 1.1663031578063965]\n", "--------------- Epoch 458 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3419759273529053 0.32582157850265503 [0.004473076201975346, 0.003941405098885298, 1.0633423328399658]\n", "Loss test\n", "[0.006215918809175491, 0.005688528995960951, 1.0547767877578735]\n", "--------------- Epoch 459 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3125894069671631 0.32911360263824463 [0.0038724818732589483, 0.003318331204354763, 1.1083012819290161]\n", "Loss test\n", "[0.00505253579467535, 0.004493672400712967, 1.1177269220352173]\n", "--------------- Epoch 460 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3169173002243042 0.32103294134140015 [0.0033848376478999853, 0.0027552929241210222, 1.259089469909668]\n", "Loss test\n", "[0.004757458809763193, 0.004125868435949087, 1.2631791830062866]\n", "--------------- Epoch 461 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.319041907787323 0.321022093296051 [0.003140730783343315, 0.0025556974578648806, 1.1700668334960938]\n", "Loss test\n", "[0.004656567703932524, 0.004071552772074938, 1.170028567314148]\n", "--------------- Epoch 462 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33573615550994873 0.32353106141090393 [0.0029815505258738995, 0.0023685896303504705, 1.225921630859375]\n", "Loss test\n", "[0.004728109110146761, 0.004115069750696421, 1.2260771989822388]\n", "--------------- Epoch 463 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.3262811005115509 0.3176744282245636 [0.003061506198719144, 0.002455734647810459, 1.211543083190918]\n", "Loss test\n", "[0.004820708185434341, 0.004220990464091301, 1.1994335651397705]\n", "--------------- Epoch 464 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32801365852355957 0.31378716230392456 [0.0028620916418731213, 0.002301528351381421, 1.121126413345337]\n", "Loss test\n", "[0.004714054986834526, 0.004152737092226744, 1.1226361989974976]\n", "--------------- Epoch 465 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31800028681755066 0.31943848729133606 [0.002837130334228277, 0.002230360172688961, 1.2135404348373413]\n", "Loss test\n", "[0.004654991906136274, 0.0040511819534003735, 1.2076220512390137]\n", "--------------- Epoch 466 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3249910771846771 0.3329964876174927 [0.0028748575132340193, 0.002316912403330207, 1.1158902645111084]\n", "Loss test\n", "[0.004782053176313639, 0.004228111822158098, 1.107883095741272]\n", "--------------- Epoch 467 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31983256340026855 0.3201305866241455 [0.0027839287649840117, 0.0022428594529628754, 1.0821385383605957]\n", "Loss test\n", "[0.004724740982055664, 0.00418524956330657, 1.078981876373291]\n", "--------------- Epoch 468 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3223396837711334 0.3252536952495575 [0.0029182638972997665, 0.0023313723504543304, 1.1737828254699707]\n", "Loss test\n", "[0.004775171168148518, 0.004184449557214975, 1.181443691253662]\n", "--------------- Epoch 469 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3270083963871002 0.32220953702926636 [0.0025294646620750427, 0.0019519312772899866, 1.1550666093826294]\n", "Loss test\n", "[0.004798906855285168, 0.004222992341965437, 1.1518298387527466]\n", "--------------- Epoch 470 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3246957063674927 0.3241095244884491 [0.0028707007877528667, 0.0022764671593904495, 1.188467264175415]\n", "Loss test\n", "[0.004873880185186863, 0.004279849585145712, 1.1880632638931274]\n", "--------------- Epoch 471 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31394463777542114 0.3227316439151764 [0.0026749782264232635, 0.002089145826175809, 1.1716644763946533]\n", "Loss test\n", "[0.004752669483423233, 0.004160493612289429, 1.1843528747558594]\n", "--------------- Epoch 472 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3145397901535034 0.33677011728286743 [0.0026039332151412964, 0.002052029361948371, 1.1038075685501099]\n", "Loss test\n", "[0.004893961828202009, 0.004340833518654108, 1.1062549352645874]\n", "--------------- Epoch 473 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31862500309944153 0.3333889842033386 [0.002571438904851675, 0.0019633430056273937, 1.2161916494369507]\n", "Loss test\n", "[0.004851057194173336, 0.004240314941853285, 1.2214874029159546]\n", "--------------- Epoch 474 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3227870464324951 0.3316194713115692 [0.0026314666029065847, 0.002057235222309828, 1.1484627723693848]\n", "Loss test\n", "[0.004761694930493832, 0.0041871448047459126, 1.149101734161377]\n", "--------------- Epoch 475 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3113275170326233 0.3124321401119232 [0.002786744851619005, 0.002187647856771946, 1.198193907737732]\n", "Loss test\n", "[0.004746278747916222, 0.004149379674345255, 1.1937984228134155]\n", "--------------- Epoch 476 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3233494758605957 0.3282528817653656 [0.0025588737335056067, 0.001983293332159519, 1.1511605978012085]\n", "Loss test\n", "[0.004807234741747379, 0.004230239428579807, 1.1539894342422485]\n", "--------------- Epoch 477 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32657742500305176 0.3246780335903168 [0.0024462162982672453, 0.0018381542759016156, 1.2161240577697754]\n", "Loss test\n", "[0.004888183902949095, 0.004280266351997852, 1.2158342599868774]\n", "--------------- Epoch 478 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3228664994239807 0.3252299427986145 [0.0024386197328567505, 0.001858095871284604, 1.1610478162765503]\n", "Loss test\n", "[0.00480847992002964, 0.004230906255543232, 1.1551464796066284]\n", "--------------- Epoch 479 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32898563146591187 0.3308596909046173 [0.002491840859875083, 0.0019379621371626854, 1.1077574491500854]\n", "Loss test\n", "[0.004814480431377888, 0.004262824077159166, 1.10331392288208]\n", "--------------- Epoch 480 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3442833423614502 0.32513627409935 [0.0025680679827928543, 0.0019515951862558722, 1.232945442199707]\n", "Loss test\n", "[0.004960001911967993, 0.004345263354480267, 1.229477882385254]\n", "--------------- Epoch 481 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31911879777908325 0.3244662284851074 [0.0024182377383112907, 0.0018778953235596418, 1.080685019493103]\n", "Loss test\n", "[0.004835937637835741, 0.00429446529597044, 1.0829441547393799]\n", "--------------- Epoch 482 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32209059596061707 0.33297601342201233 [0.0023756546434015036, 0.0018247256521135569, 1.1018577814102173]\n", "Loss test\n", "[0.004867372568696737, 0.004311796743422747, 1.1111512184143066]\n", "--------------- Epoch 483 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3135485053062439 0.3185337781906128 [0.0023997342213988304, 0.0018349026795476675, 1.1296629905700684]\n", "Loss test\n", "[0.00482408981770277, 0.004252107813954353, 1.1439653635025024]\n", "--------------- Epoch 484 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3216751217842102 0.3102240264415741 [0.0022304716985672712, 0.0016566106351092458, 1.1477220058441162]\n", "Loss test\n", "[0.004798309411853552, 0.004225526005029678, 1.1455649137496948]\n", "--------------- Epoch 485 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.33402085304260254 0.3180989921092987 [0.0023156984243541956, 0.0017616045661270618, 1.1081875562667847]\n", "Loss test\n", "[0.004781233612447977, 0.004228729289025068, 1.1050087213516235]\n", "--------------- Epoch 486 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3214970529079437 0.3269016146659851 [0.0022273175418376923, 0.0017231417587026954, 1.008351445198059]\n", "Loss test\n", "[0.004763126373291016, 0.004257600754499435, 1.0110517740249634]\n", "--------------- Epoch 487 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3411266803741455 0.31094199419021606 [0.0022935369051992893, 0.0017389495624229312, 1.1091744899749756]\n", "Loss test\n", "[0.004803727846592665, 0.004250517580658197, 1.1064211130142212]\n", "--------------- Epoch 488 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3302849233150482 0.32061657309532166 [0.0023825066164135933, 0.0018370926845818758, 1.0908279418945312]\n", "Loss test\n", "[0.004723609425127506, 0.004177834372967482, 1.0915465354919434]\n", "--------------- Epoch 489 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32836055755615234 0.31287941336631775 [0.0026740466710180044, 0.002109566004946828, 1.128961443901062]\n", "Loss test\n", "[0.004962408449500799, 0.0043963179923594, 1.1321815252304077]\n", "--------------- Epoch 490 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3147232234477997 0.3249005377292633 [0.002349765272811055, 0.0018227046821266413, 1.0541210174560547]\n", "Loss test\n", "[0.0047134761698544025, 0.004184179473668337, 1.0585929155349731]\n", "--------------- Epoch 491 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3228684365749359 0.32571280002593994 [0.0023193873930722475, 0.0017619632417336106, 1.1148481369018555]\n", "Loss test\n", "[0.0047951191663742065, 0.004237192217260599, 1.1158554553985596]\n", "--------------- Epoch 492 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.31986796855926514 0.3151734173297882 [0.0024780561216175556, 0.0018819710239768028, 1.1921701431274414]\n", "Loss test\n", "[0.004959861282259226, 0.004361073020845652, 1.1975762844085693]\n", "--------------- Epoch 493 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3308124244213104 0.33299756050109863 [0.0024525895714759827, 0.0018686022376641631, 1.167974829673767]\n", "Loss test\n", "[0.0049852607771754265, 0.004397589713335037, 1.1753414869308472]\n", "--------------- Epoch 494 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3318784832954407 0.32258832454681396 [0.00239981384947896, 0.0017910541500896215, 1.2175194025039673]\n", "Loss test\n", "[0.004820652771741152, 0.004215876571834087, 1.2095496654510498]\n", "--------------- Epoch 495 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32495418190956116 0.324697881937027 [0.0024499287828803062, 0.0018775842618197203, 1.1446890830993652]\n", "Loss test\n", "[0.004994520917534828, 0.004420381039381027, 1.1482805013656616]\n", "--------------- Epoch 496 ---------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Loss real , Loss fake, Loss GAN\n", "0.33003225922584534 0.32879021763801575 [0.0023297308944165707, 0.001809030887670815, 1.0413999557495117]\n", "Loss test\n", "[0.004828079603612423, 0.00430930033326149, 1.0375585556030273]\n", "--------------- Epoch 497 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3232933580875397 0.3321796953678131 [0.0026637506671249866, 0.0021206089295446873, 1.0862834453582764]\n", "Loss test\n", "[0.004887976683676243, 0.004342149011790752, 1.091658115386963]\n", "--------------- Epoch 498 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.324586421251297 0.3246138095855713 [0.002642363077029586, 0.0020811313297599554, 1.122463583946228]\n", "Loss test\n", "[0.005043461453169584, 0.004480746109038591, 1.1254303455352783]\n", "--------------- Epoch 499 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.32819920778274536 0.32191500067710876 [0.002489725360646844, 0.0019449889659881592, 1.0894728899002075]\n", "Loss test\n", "[0.004873072728514671, 0.00432869466021657, 1.0887562036514282]\n", "--------------- Epoch 500 ---------------\n", "Loss real , Loss fake, Loss GAN\n", "0.3223736882209778 0.3165583908557892 [0.0022365099284797907, 0.001685204915702343, 1.1026098728179932]\n", "Loss test\n", "[0.004911359399557114, 0.004357054829597473, 1.1086084842681885]\n" ] } ], "source": [ "K.clear_session()\n", "batch_size = 256\n", "epochs = 500\n", "\n", "batch_count = int(X_train.shape[0] / batch_size)\n", "generator = Generator(X_train[0].shape).generator(ch)\n", "discriminator = Discriminator(X_train[0].shape).discriminator()\n", "\n", "adam = Adam(lr=1E-3, beta_1=0.9, beta_2=0.999, epsilon=1e-08)\n", "generator.compile(loss='mse', optimizer=adam)\n", "discriminator.compile(loss=\"binary_crossentropy\", optimizer=adam)\n", " \n", "gan = get_gan_network(discriminator, X_train[0].shape, generator, adam)\n", "\n", "for e in range(1, epochs+1):\n", " print ('-'*15, 'Epoch %d' % e, '-'*15)\n", " for _ in range(batch_count):\n", " \n", " rand_nums = np.random.randint(0, X_train.shape[0], size=batch_size)\n", " X_train_batch = X_train[rand_nums]\n", " y_train_batch = y_train[rand_nums]\n", " generated = generator.predict(X_train_batch)\n", "\n", " real_data_Y = np.ones(batch_size) - np.random.random_sample(batch_size)*0.2\n", " fake_data_Y = np.random.random_sample(batch_size)*0.2\n", " \n", " discriminator.trainable = True\n", " \n", " d_loss_real = discriminator.train_on_batch(y_train_batch, real_data_Y)\n", " d_loss_fake = discriminator.train_on_batch(generated, fake_data_Y)\n", " \n", " rand_nums = np.random.randint(0, y_train.shape[0], size=batch_size)\n", " X_train_batch = X_train[rand_nums]\n", " y_train_batch = y_train[rand_nums]\n", " \n", " gan_Y = np.ones(batch_size) - np.random.random_sample(batch_size)*0.2\n", "\n", " discriminator.trainable = False\n", " loss_gan = gan.train_on_batch(X_train_batch, [y_train_batch,gan_Y])\n", " gan_y_test = np.ones(X_test.shape[0]) - np.random.random_sample(X_test.shape[0])*0.2\n", " loss_test=gan.evaluate(X_test, [y_test,gan_y_test],verbose=0)\n", " \n", " print(\"Loss real , Loss fake, Loss GAN\")\n", " print(d_loss_real, d_loss_fake, loss_gan)\n", " print(\"Loss test\")\n", " print(loss_test)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "generator.save(\"model.h5\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" }, "vscode": { "interpreter": { "hash": "ad2bdc8ecc057115af97d19610ffacc2b4e99fae6737bb82f5d7fb13d2f2c186" } } }, "nbformat": 4, "nbformat_minor": 2 }