{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "tawgYuQhnd9C"
},
"source": [
"\n",
"Updated 29/Nov/2021 by Yoshihisa Nitta "
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "2YjV9OlWfMkt"
},
"source": [
"\n",
"# Further Training of Cycle Generative Adversarial Network for VidTIMIT dataset with Tensorflow 2 on Google Colab (WGAN-GP)\n",
"\n",
"Assuming that you have already executed CycleGAN_VidTIMIT_Train.ipynb, further train the Model. \n",
"\n",
"## VidTIMIT データセットに対して Cycle Generative Adversarial Network をGoogle Colab 上の Tensorflow 2 でさらに学習させる\n",
"\n",
"既に CycleGAN_VidTIMIT_Train.ipynb を実行していることを前提とし、さらに学習を進める。\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"executionInfo": {
"elapsed": 475,
"status": "ok",
"timestamp": 1638192789790,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "tDG7p2d_QWmp"
},
"outputs": [],
"source": [
"MAX_EPOCHS = 150 # Change this value and run this ipynb many times\n",
"\n",
"save_path = '/content/drive/MyDrive/ColabRun/CycleGAN_VidTIMIT01'\n",
"VERBOSE = False"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"executionInfo": {
"elapsed": 2,
"status": "ok",
"timestamp": 1638192790288,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "DEjAd_KlRwqb"
},
"outputs": [],
"source": [
"#! pip install tensorflow==2.7.0"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 2927,
"status": "ok",
"timestamp": 1638192793213,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "POa8fRv_Bpc8",
"outputId": "fed77a88-2e96-4c54-9d3d-318dba253998"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: tensorflow_addons in /usr/local/lib/python3.7/dist-packages (0.15.0)\n",
"Requirement already satisfied: typeguard>=2.7 in /usr/local/lib/python3.7/dist-packages (from tensorflow_addons) (2.7.1)\n"
]
}
],
"source": [
"! pip install tensorflow_addons"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 1593,
"status": "ok",
"timestamp": 1638192794803,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "5S1u185vRx9K",
"outputId": "cc15ec34-76bd-4429-ddfc-f178e5dab436"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.7.0\n"
]
}
],
"source": [
"%tensorflow_version 2.x\n",
"\n",
"import tensorflow as tf\n",
"print(tf.__version__)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"executionInfo": {
"elapsed": 9,
"status": "ok",
"timestamp": 1638192794803,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "LFq0E-kaCUyA"
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"np.random.seed(2022)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WhpOI5g3gMl3"
},
"source": [
"# Check the Google Colab runtime environment\n",
"\n",
"## Google Colab 実行環境を調べる"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"executionInfo": {
"elapsed": 10,
"status": "ok",
"timestamp": 1638192794804,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "z7Max1FferaF"
},
"outputs": [],
"source": [
"if VERBOSE:\n",
" ! nvidia-smi\n",
" ! cat /proc/cpuinfo\n",
" ! cat /etc/issue\n",
" ! free -h"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Ws_f-ldaPYSf"
},
"source": [
"# Mount Google Drive from Google Colab\n",
"\n",
"## Google Colab から GoogleDrive をマウントする"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 9,
"status": "ok",
"timestamp": 1638192794804,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "83p10lnMgtAZ",
"outputId": "35df52c7-809f-4af1-81fe-15934345a712"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
]
}
],
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"executionInfo": {
"elapsed": 6,
"status": "ok",
"timestamp": 1638192794804,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "MCvJLAnfgv1a"
},
"outputs": [],
"source": [
"if VERBOSE:\n",
" ! ls /content/drive"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nFqo7R-6xJqe"
},
"source": [
"# Download source file from Google Drive or nw.tsuda.ac.jp\n",
"\n",
"Basically, gdown
from Google Drive.\n",
"Download from nw.tsuda.ac.jp above only if the specifications of Google Drive change and you cannot download from Google Drive.\n",
"\n",
"# Google Drive または nw.tsuda.ac.jp からファイルをダウンロードする\n",
"\n",
"基本的に、Google Drive から gdown
してください。\n",
"Google Drive の仕様が変わってダウンロードができない場合にのみ、nw.tsuda.ac.jp からダウンロードしてください。"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 3055,
"status": "ok",
"timestamp": 1638192797853,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "CRoSdsmfv-EA",
"outputId": "9ba11306-024b-413f-f301-fb51a2ae48e7"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading...\n",
"From: https://drive.google.com/uc?id=1aNvpPDNeDWYQFu_PA1kOtFlzcO5seHky\n",
"To: /content/nw/CycleGAN.py\n",
"\r",
" 0% 0.00/24.6k [00:00, ?B/s]\r",
"100% 24.6k/24.6k [00:00<00:00, 21.4MB/s]\n"
]
}
],
"source": [
"# Download source file\n",
"nw_path = './nw'\n",
"! rm -rf {nw_path}\n",
"! mkdir -p {nw_path}\n",
"\n",
"if True: # from Google Drive\n",
" url_model = 'https://drive.google.com/uc?id=1aNvpPDNeDWYQFu_PA1kOtFlzcO5seHky'\n",
" ! (cd {nw_path}; gdown {url_model})\n",
"else: # from nw.tsuda.ac.jp\n",
" URL_NW = 'https://nw.tsuda.ac.jp/lec/GoogleColab/pub'\n",
" url_model = f'{URL_NW}/models/CycleGAN.py'\n",
" ! wget -nd {url_model} -P {nw_path}"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"executionInfo": {
"elapsed": 4,
"status": "ok",
"timestamp": 1638192797854,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "u_MhxYX4g9Ir"
},
"outputs": [],
"source": [
"if VERBOSE:\n",
" ! cat {nw_path}/CycleGAN.py"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "x8WwzJAPhD0v"
},
"source": [
"# Preparing VidTIMIT dataset\n",
"\n",
"Official WWW of VidTIMIT dataset: http://conradsanderson.id.au/vidtimit/\n",
"\n",
"zip files of 2 persons of VidTIMIT dataset:
\n",
"https://zenodo.org/record/158963/files/fadg0.zip
\n",
"https://zenodo.org/record/158963/files/faks0.zip
\n",
"\n",
"zip files mirrored on my Google Drive:
\n",
"https://drive.google.com/uc?id=\n",
"\n",
"## VidTIMIT データセットを用意する\n",
"\n",
"VidTIMIT データセットの公式ページ: http://conradsanderson.id.au/vidtimit/\n",
"\n",
"VidTIMIT の2名の顔写真の zip ファイル:
\n",
"https://zenodo.org/record/158963/files/fadg0.zip
\n",
"https://zenodo.org/record/158963/files/faks0.zip
\n",
"\n",
"\n",
"自分の Google Drive 上にミラーした顔写真:
\n",
"https://drive.google.com/uc?id=\n",
"https://drive.google.com/uc?id=\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 6711,
"status": "ok",
"timestamp": 1638192804561,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "GhMGOhwuSpDR",
"outputId": "69753ce7-2f1e-4ff3-f768-adf06fec9467"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading...\n",
"From: https://drive.google.com/uc?id=1_Fv4p9MDNphMZMnLpEvtCtnwXgN8N5Cj\n",
"To: /content/fadg0.zip\n",
"100% 81.6M/81.6M [00:00<00:00, 260MB/s]\n",
"Downloading...\n",
"From: https://drive.google.com/uc?id=1Y8j7ThPVqB0gbx4hb9aMEp9Ptr9wFuoz\n",
"To: /content/faks0.zip\n",
"100% 64.2M/64.2M [00:00<00:00, 201MB/s]\n"
]
}
],
"source": [
"# Download zip files\n",
"VidTIMIT_site = 'https://zenodo.org/record/158963/files/'\n",
"VidTIMIT_fnames = [ 'fadg0', 'faks0']\n",
"\n",
"Mirrored_files = [\n",
" 'https://drive.google.com/uc?id=1_Fv4p9MDNphMZMnLpEvtCtnwXgN8N5Cj', \n",
" 'https://drive.google.com/uc?id=1Y8j7ThPVqB0gbx4hb9aMEp9Ptr9wFuoz'\n",
"]\n",
"\n",
"data_dir = './datasets'\n",
"! rm -rf $data_dir\n",
"! mkdir -p $data_dir\n",
"\n",
"for i, fname in enumerate(VidTIMIT_fnames):\n",
" fzip = fname + '.zip'\n",
" if False:\n",
" url = VidTIMIT_site + fzip\n",
" !wget {url}\n",
" else:\n",
" url = Mirrored_files[i]\n",
" !gdown {url}\n",
"\n",
" !unzip -q {fzip} -d {data_dir}"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "KoobDtmDq4Mk"
},
"source": [
"# Make DataGenerator from the images of VidTIMIT\n",
"\n",
"## VidTIMIT の画像ファイルから DataGenerator を作る"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"executionInfo": {
"elapsed": 7,
"status": "ok",
"timestamp": 1638192804562,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "5dz_zRBzB9HQ"
},
"outputs": [],
"source": [
"IMAGE_SIZE = 128"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"executionInfo": {
"elapsed": 7,
"status": "ok",
"timestamp": 1638192804563,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "1rR2etKiWICM"
},
"outputs": [],
"source": [
"import os\n",
"import glob\n",
"\n",
"imgA_paths = glob.glob(os.path.join(data_dir, VidTIMIT_fnames[0], 'video/*/[0-9]*'))\n",
"imgB_paths = glob.glob(os.path.join(data_dir, VidTIMIT_fnames[1], 'video/*/[0-9]*'))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"executionInfo": {
"elapsed": 7,
"status": "ok",
"timestamp": 1638192804563,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "vOOLC2OJoFyA"
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"validation_split = 0.05\n",
"\n",
"nA, nB = len(imgA_paths), len(imgB_paths)\n",
"splitA = int(nA * (1 - validation_split))\n",
"splitB = int(nB * (1 - validation_split))\n",
"\n",
"np.random.shuffle(imgA_paths)\n",
"np.random.shuffle(imgB_paths)\n",
"\n",
"train_imgA_paths = imgA_paths[:splitA]\n",
"test_imgA_paths = imgA_paths[splitA:]\n",
"train_imgB_paths = imgB_paths[:splitB]\n",
"test_imgB_paths = imgB_paths[splitB:]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"executionInfo": {
"elapsed": 7,
"status": "ok",
"timestamp": 1638192804563,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "czIY2J9OnG4B"
},
"outputs": [],
"source": [
"# Image: [-1, 1] --> [0, 1]\n",
"def M1P1_ZeroP1(imgs):\n",
" imgs = (imgs + 1) * 0.5\n",
" return np.clip(imgs, 0, 1)\n",
"\n",
"# Image: [0, 1] --> [-1, 1]\n",
"def ZeroP1_M1P1(imgs):\n",
" return imgs * 2 - 1"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"executionInfo": {
"elapsed": 7,
"status": "ok",
"timestamp": 1638192804564,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "oUWOmcrpmRJU"
},
"outputs": [],
"source": [
"from nw.CycleGAN import PairDataset\n",
"\n",
"pair_flow = PairDataset(train_imgA_paths, train_imgB_paths, target_size=(IMAGE_SIZE, IMAGE_SIZE))\n",
"test_pair_flow = PairDataset(test_imgA_paths, test_imgB_paths, target_size=(IMAGE_SIZE, IMAGE_SIZE))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "zu15tbiD_plS"
},
"source": [
"# Define the Neural Network Model\n",
"\n",
"## ニューラルネットワーク・モデルを定義する"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 12980,
"status": "ok",
"timestamp": 1638192817537,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "So5vADqGmQiL",
"outputId": "7f62c10f-b44b-478e-c973-74b62bd58243"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"5\n"
]
}
],
"source": [
"from nw.CycleGAN import CycleGAN\n",
"\n",
"gan = CycleGAN.load(save_path)\n",
"\n",
"print(gan.epoch)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "W4XpCa5FCrkN"
},
"source": [
"# Train\n",
"\n",
"## 訓練する"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nRUZdXi9KB7P"
},
"source": [
"# Further Training\n",
"\n",
"# さらに学習を進める"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 68539457,
"status": "ok",
"timestamp": 1638261356992,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "4L-fKioRC3nF",
"outputId": "662915a7-e539-4b4b-be75-2eb229ad665e"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"WARNING:tensorflow:5 out of the last 5 calls to .train_function at 0x7f561bd5d170> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n",
"Epoch 6/150 1000/2595 [D loss: 0.062 acc: 1.000][G loss: 2.184 adv: 1.268 recon: 0.076 id: 0.076 time: 0:03:13.098820\n",
"Epoch 6/150 2000/2595 [D loss: 0.095 acc: 0.863][G loss: 2.319 adv: 1.147 recon: 0.098 id: 0.094 time: 0:06:14.734277\n",
"Epoch 6/150 [D loss: 0.079 acc: 0.927][G loss: 1.962 adv: 1.003 recon: 0.080 id: 0.079 time: 0:08:02.714840\n",
"Epoch 7/150 1000/2595 [D loss: 0.043 acc: 0.984][G loss: 2.668 adv: 1.744 recon: 0.077 id: 0.076 time: 0:11:03.594376\n",
"Epoch 7/150 2000/2595 [D loss: 0.034 acc: 0.995][G loss: 1.695 adv: 0.578 recon: 0.093 id: 0.092 time: 0:14:06.746020\n",
"Epoch 7/150 [D loss: 0.073 acc: 0.935][G loss: 2.009 adv: 1.061 recon: 0.079 id: 0.078 time: 0:15:55.227086\n",
"Epoch 8/150 1000/2595 [D loss: 0.060 acc: 0.981][G loss: 2.155 adv: 1.214 recon: 0.079 id: 0.078 time: 0:18:58.266541\n",
"Epoch 8/150 2000/2595 [D loss: 0.104 acc: 0.935][G loss: 3.006 adv: 1.872 recon: 0.094 id: 0.095 time: 0:22:02.163284\n",
"Epoch 8/150 [D loss: 0.075 acc: 0.934][G loss: 2.003 adv: 1.068 recon: 0.078 id: 0.077 time: 0:23:51.079122\n",
"Epoch 9/150 1000/2595 [D loss: 0.052 acc: 0.987][G loss: 2.040 adv: 1.105 recon: 0.079 id: 0.074 time: 0:26:54.876698\n",
"Epoch 9/150 2000/2595 [D loss: 0.122 acc: 0.847][G loss: 2.462 adv: 1.394 recon: 0.089 id: 0.089 time: 0:29:58.249684\n",
"Epoch 9/150 [D loss: 0.072 acc: 0.938][G loss: 2.009 adv: 1.087 recon: 0.077 id: 0.076 time: 0:31:48.129384\n",
"Epoch 10/150 1000/2595 [D loss: 0.032 acc: 0.994][G loss: 2.295 adv: 1.394 recon: 0.075 id: 0.075 time: 0:34:52.483878\n",
"Epoch 10/150 2000/2595 [D loss: 0.055 acc: 0.986][G loss: 2.222 adv: 1.125 recon: 0.092 id: 0.090 time: 0:37:56.018048\n",
"Epoch 10/150 [D loss: 0.070 acc: 0.942][G loss: 2.007 adv: 1.094 recon: 0.076 id: 0.075 time: 0:39:43.749403\n",
"Epoch 11/150 1000/2595 [D loss: 0.023 acc: 0.997][G loss: 2.208 adv: 1.331 recon: 0.073 id: 0.072 time: 0:42:45.145642\n",
"Epoch 11/150 2000/2595 [D loss: 0.072 acc: 0.935][G loss: 2.022 adv: 0.897 recon: 0.094 id: 0.090 time: 0:45:46.053091\n",
"Epoch 11/150 [D loss: 0.064 acc: 0.950][G loss: 2.058 adv: 1.153 recon: 0.076 id: 0.075 time: 0:47:34.524425\n",
"Epoch 12/150 1000/2595 [D loss: 0.019 acc: 0.998][G loss: 1.968 adv: 1.094 recon: 0.073 id: 0.071 time: 0:50:35.492434\n",
"Epoch 12/150 2000/2595 [D loss: 0.177 acc: 0.683][G loss: 2.431 adv: 1.344 recon: 0.091 id: 0.087 time: 0:53:36.317946\n",
"Epoch 12/150 [D loss: 0.068 acc: 0.943][G loss: 2.018 adv: 1.124 recon: 0.075 id: 0.074 time: 0:55:23.549150\n",
"Epoch 13/150 1000/2595 [D loss: 0.081 acc: 0.962][G loss: 2.519 adv: 1.663 recon: 0.071 id: 0.071 time: 0:58:26.072169\n",
"Epoch 13/150 2000/2595 [D loss: 0.055 acc: 0.966][G loss: 2.436 adv: 1.299 recon: 0.096 id: 0.090 time: 1:01:28.398208\n",
"Epoch 13/150 [D loss: 0.062 acc: 0.952][G loss: 2.120 adv: 1.221 recon: 0.075 id: 0.074 time: 1:03:18.003925\n",
"Epoch 14/150 1000/2595 [D loss: 0.041 acc: 1.000][G loss: 2.459 adv: 1.531 recon: 0.078 id: 0.073 time: 1:06:20.914943\n",
"Epoch 14/150 2000/2595 [D loss: 0.065 acc: 0.971][G loss: 2.499 adv: 1.427 recon: 0.089 id: 0.090 time: 1:09:25.004414\n",
"Epoch 14/150 [D loss: 0.060 acc: 0.956][G loss: 2.102 adv: 1.205 recon: 0.075 id: 0.074 time: 1:11:13.998680\n",
"Epoch 15/150 1000/2595 [D loss: 0.040 acc: 0.989][G loss: 2.237 adv: 1.358 recon: 0.073 id: 0.073 time: 1:14:18.445557\n",
"Epoch 15/150 2000/2595 [D loss: 0.028 acc: 0.997][G loss: 2.710 adv: 1.647 recon: 0.089 id: 0.088 time: 1:17:22.722413\n",
"Epoch 15/150 [D loss: 0.060 acc: 0.955][G loss: 2.121 adv: 1.232 recon: 0.074 id: 0.073 time: 1:19:12.882550\n",
"Epoch 16/150 1000/2595 [D loss: 0.045 acc: 0.977][G loss: 2.288 adv: 1.437 recon: 0.071 id: 0.072 time: 1:22:16.872028\n",
"Epoch 16/150 2000/2595 [D loss: 0.110 acc: 0.831][G loss: 2.564 adv: 1.478 recon: 0.091 id: 0.088 time: 1:25:22.465188\n",
"Epoch 16/150 [D loss: 0.060 acc: 0.956][G loss: 2.103 adv: 1.222 recon: 0.074 id: 0.073 time: 1:27:12.904729\n",
"Epoch 17/150 1000/2595 [D loss: 0.055 acc: 0.969][G loss: 2.320 adv: 1.465 recon: 0.071 id: 0.071 time: 1:30:19.573067\n",
"Epoch 17/150 2000/2595 [D loss: 0.085 acc: 0.934][G loss: 2.977 adv: 1.894 recon: 0.091 id: 0.088 time: 1:33:24.950847\n",
"Epoch 17/150 [D loss: 0.060 acc: 0.957][G loss: 2.110 adv: 1.231 recon: 0.073 id: 0.072 time: 1:35:15.792532\n",
"Epoch 18/150 1000/2595 [D loss: 0.035 acc: 0.999][G loss: 1.923 adv: 1.085 recon: 0.070 id: 0.071 time: 1:38:21.940078\n",
"Epoch 18/150 2000/2595 [D loss: 0.020 acc: 0.999][G loss: 2.315 adv: 1.231 recon: 0.091 id: 0.087 time: 1:41:26.944496\n",
"Epoch 18/150 [D loss: 0.061 acc: 0.954][G loss: 2.073 adv: 1.197 recon: 0.073 id: 0.072 time: 1:43:16.592577\n",
"Epoch 19/150 1000/2595 [D loss: 0.023 acc: 1.000][G loss: 2.372 adv: 1.507 recon: 0.072 id: 0.072 time: 1:46:22.803804\n",
"Epoch 19/150 2000/2595 [D loss: 0.031 acc: 0.987][G loss: 2.333 adv: 1.226 recon: 0.093 id: 0.089 time: 1:49:31.323355\n",
"Epoch 19/150 [D loss: 0.063 acc: 0.952][G loss: 2.099 adv: 1.216 recon: 0.074 id: 0.072 time: 1:51:21.891019\n",
"Epoch 20/150 1000/2595 [D loss: 0.041 acc: 0.990][G loss: 2.350 adv: 1.484 recon: 0.072 id: 0.073 time: 1:54:27.997146\n",
"Epoch 20/150 2000/2595 [D loss: 0.065 acc: 0.920][G loss: 2.557 adv: 1.518 recon: 0.087 id: 0.086 time: 1:57:33.075048\n",
"Epoch 20/150 [D loss: 0.061 acc: 0.953][G loss: 2.136 adv: 1.251 recon: 0.074 id: 0.073 time: 1:59:23.459784\n",
"Epoch 21/150 1000/2595 [D loss: 0.102 acc: 0.817][G loss: 2.764 adv: 1.896 recon: 0.073 id: 0.070 time: 2:02:28.915967\n",
"Epoch 21/150 2000/2595 [D loss: 0.027 acc: 0.994][G loss: 2.625 adv: 1.543 recon: 0.091 id: 0.087 time: 2:05:33.958521\n",
"Epoch 21/150 [D loss: 0.058 acc: 0.959][G loss: 2.154 adv: 1.274 recon: 0.074 id: 0.072 time: 2:07:24.272366\n",
"Epoch 22/150 1000/2595 [D loss: 0.019 acc: 0.998][G loss: 2.155 adv: 1.282 recon: 0.073 id: 0.072 time: 2:10:30.567161\n",
"Epoch 22/150 2000/2595 [D loss: 0.046 acc: 0.997][G loss: 2.210 adv: 1.144 recon: 0.089 id: 0.089 time: 2:13:36.323169\n",
"Epoch 22/150 [D loss: 0.056 acc: 0.960][G loss: 2.184 adv: 1.305 recon: 0.073 id: 0.072 time: 2:15:27.208474\n",
"Epoch 23/150 1000/2595 [D loss: 0.027 acc: 0.998][G loss: 2.522 adv: 1.580 recon: 0.079 id: 0.076 time: 2:18:31.704083\n",
"Epoch 23/150 2000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.440 adv: 1.345 recon: 0.092 id: 0.088 time: 2:21:37.138137\n",
"Epoch 23/150 [D loss: 0.055 acc: 0.960][G loss: 2.189 adv: 1.309 recon: 0.074 id: 0.072 time: 2:23:26.736563\n",
"Epoch 24/150 1000/2595 [D loss: 0.036 acc: 0.992][G loss: 2.779 adv: 1.899 recon: 0.073 id: 0.073 time: 2:26:32.621088\n",
"Epoch 24/150 2000/2595 [D loss: 0.063 acc: 0.948][G loss: 2.595 adv: 1.530 recon: 0.089 id: 0.087 time: 2:29:38.426095\n",
"Epoch 24/150 [D loss: 0.054 acc: 0.962][G loss: 2.168 adv: 1.295 recon: 0.073 id: 0.072 time: 2:31:29.314592\n",
"Epoch 25/150 1000/2595 [D loss: 0.036 acc: 0.999][G loss: 2.168 adv: 1.294 recon: 0.073 id: 0.073 time: 2:34:34.085912\n",
"Epoch 25/150 2000/2595 [D loss: 0.109 acc: 0.900][G loss: 2.589 adv: 1.550 recon: 0.087 id: 0.085 time: 2:37:39.323185\n",
"Epoch 25/150 [D loss: 0.053 acc: 0.965][G loss: 2.193 adv: 1.323 recon: 0.073 id: 0.072 time: 2:39:29.818083\n",
"Epoch 26/150 1000/2595 [D loss: 0.072 acc: 0.982][G loss: 2.437 adv: 1.573 recon: 0.072 id: 0.073 time: 2:42:36.351539\n",
"Epoch 26/150 2000/2595 [D loss: 0.049 acc: 0.974][G loss: 2.954 adv: 1.846 recon: 0.092 id: 0.092 time: 2:45:42.200479\n",
"Epoch 26/150 [D loss: 0.057 acc: 0.959][G loss: 2.174 adv: 1.306 recon: 0.073 id: 0.072 time: 2:47:33.010013\n",
"Epoch 27/150 1000/2595 [D loss: 0.044 acc: 0.994][G loss: 2.221 adv: 1.386 recon: 0.069 id: 0.071 time: 2:50:38.156452\n",
"Epoch 27/150 2000/2595 [D loss: 0.037 acc: 0.999][G loss: 2.356 adv: 1.311 recon: 0.088 id: 0.084 time: 2:53:43.889973\n",
"Epoch 27/150 [D loss: 0.060 acc: 0.953][G loss: 2.130 adv: 1.263 recon: 0.072 id: 0.071 time: 2:55:34.209886\n",
"Epoch 28/150 1000/2595 [D loss: 0.051 acc: 0.983][G loss: 2.268 adv: 1.428 recon: 0.070 id: 0.069 time: 2:58:40.566678\n",
"Epoch 28/150 2000/2595 [D loss: 0.038 acc: 0.991][G loss: 3.002 adv: 1.961 recon: 0.087 id: 0.085 time: 3:01:46.369030\n",
"Epoch 28/150 [D loss: 0.057 acc: 0.959][G loss: 2.130 adv: 1.267 recon: 0.072 id: 0.071 time: 3:03:36.978733\n",
"Epoch 29/150 1000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.142 adv: 1.294 recon: 0.071 id: 0.071 time: 3:06:42.639144\n",
"Epoch 29/150 2000/2595 [D loss: 0.027 acc: 1.000][G loss: 2.687 adv: 1.641 recon: 0.088 id: 0.085 time: 3:09:48.628458\n",
"Epoch 29/150 [D loss: 0.056 acc: 0.959][G loss: 2.166 adv: 1.303 recon: 0.072 id: 0.071 time: 3:11:39.020633\n",
"Epoch 30/150 1000/2595 [D loss: 0.029 acc: 0.995][G loss: 2.290 adv: 1.430 recon: 0.072 id: 0.072 time: 3:14:45.448632\n",
"Epoch 30/150 2000/2595 [D loss: 0.053 acc: 0.960][G loss: 2.900 adv: 1.873 recon: 0.086 id: 0.084 time: 3:17:50.619036\n",
"Epoch 30/150 [D loss: 0.057 acc: 0.957][G loss: 2.174 adv: 1.316 recon: 0.072 id: 0.071 time: 3:19:41.212781\n",
"Epoch 31/150 1000/2595 [D loss: 0.022 acc: 1.000][G loss: 2.232 adv: 1.389 recon: 0.070 id: 0.072 time: 3:22:47.340107\n",
"Epoch 31/150 2000/2595 [D loss: 0.087 acc: 0.931][G loss: 2.239 adv: 1.195 recon: 0.088 id: 0.084 time: 3:25:53.014267\n",
"Epoch 31/150 [D loss: 0.061 acc: 0.949][G loss: 2.142 adv: 1.284 recon: 0.072 id: 0.070 time: 3:27:43.623903\n",
"Epoch 32/150 1000/2595 [D loss: 0.085 acc: 0.930][G loss: 1.922 adv: 1.081 recon: 0.070 id: 0.071 time: 3:30:49.378037\n",
"Epoch 32/150 2000/2595 [D loss: 0.100 acc: 0.831][G loss: 1.795 adv: 0.759 recon: 0.087 id: 0.085 time: 3:33:54.589815\n",
"Epoch 32/150 [D loss: 0.061 acc: 0.954][G loss: 2.197 adv: 1.299 recon: 0.075 id: 0.074 time: 3:35:44.910875\n",
"Epoch 33/150 1000/2595 [D loss: 0.036 acc: 0.978][G loss: 2.856 adv: 1.827 recon: 0.086 id: 0.086 time: 3:38:49.746626\n",
"Epoch 33/150 2000/2595 [D loss: 0.036 acc: 0.996][G loss: 2.145 adv: 1.061 recon: 0.091 id: 0.089 time: 3:41:55.271380\n",
"Epoch 33/150 [D loss: 0.052 acc: 0.965][G loss: 2.249 adv: 1.301 recon: 0.079 id: 0.077 time: 3:43:45.662322\n",
"Epoch 34/150 1000/2595 [D loss: 0.016 acc: 0.997][G loss: 2.577 adv: 1.698 recon: 0.074 id: 0.072 time: 3:46:51.218941\n",
"Epoch 34/150 2000/2595 [D loss: 0.076 acc: 0.914][G loss: 2.039 adv: 0.972 recon: 0.090 id: 0.085 time: 3:49:56.605842\n",
"Epoch 34/150 [D loss: 0.055 acc: 0.961][G loss: 2.174 adv: 1.284 recon: 0.074 id: 0.073 time: 3:51:47.101668\n",
"Epoch 35/150 1000/2595 [D loss: 0.060 acc: 0.958][G loss: 2.803 adv: 1.951 recon: 0.071 id: 0.070 time: 3:54:52.515827\n",
"Epoch 35/150 2000/2595 [D loss: 0.059 acc: 0.943][G loss: 2.883 adv: 1.812 recon: 0.090 id: 0.086 time: 3:57:57.523766\n",
"Epoch 35/150 [D loss: 0.050 acc: 0.967][G loss: 2.259 adv: 1.378 recon: 0.074 id: 0.072 time: 3:59:47.855824\n",
"Epoch 36/150 1000/2595 [D loss: 0.035 acc: 0.999][G loss: 1.733 adv: 0.888 recon: 0.071 id: 0.070 time: 4:02:52.242039\n",
"Epoch 36/150 2000/2595 [D loss: 0.067 acc: 0.959][G loss: 2.315 adv: 1.280 recon: 0.087 id: 0.084 time: 4:05:57.739914\n",
"Epoch 36/150 [D loss: 0.053 acc: 0.962][G loss: 2.240 adv: 1.371 recon: 0.073 id: 0.071 time: 4:07:47.394656\n",
"Epoch 37/150 1000/2595 [D loss: 0.045 acc: 0.979][G loss: 1.723 adv: 0.905 recon: 0.068 id: 0.068 time: 4:10:52.379790\n",
"Epoch 37/150 2000/2595 [D loss: 0.046 acc: 0.998][G loss: 3.338 adv: 2.243 recon: 0.092 id: 0.088 time: 4:13:56.921740\n",
"Epoch 37/150 [D loss: 0.056 acc: 0.958][G loss: 2.141 adv: 1.282 recon: 0.072 id: 0.070 time: 4:15:47.533579\n",
"Epoch 38/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.354 adv: 1.543 recon: 0.068 id: 0.067 time: 4:18:52.264550\n",
"Epoch 38/150 2000/2595 [D loss: 0.022 acc: 0.999][G loss: 2.165 adv: 1.101 recon: 0.089 id: 0.086 time: 4:21:57.797224\n",
"Epoch 38/150 [D loss: 0.053 acc: 0.965][G loss: 2.210 adv: 1.335 recon: 0.073 id: 0.071 time: 4:23:47.457921\n",
"Epoch 39/150 1000/2595 [D loss: 0.028 acc: 0.992][G loss: 2.403 adv: 1.548 recon: 0.071 id: 0.071 time: 4:26:52.969076\n",
"Epoch 39/150 2000/2595 [D loss: 0.036 acc: 0.999][G loss: 2.187 adv: 1.132 recon: 0.089 id: 0.085 time: 4:29:58.111219\n",
"Epoch 39/150 [D loss: 0.048 acc: 0.969][G loss: 2.299 adv: 1.415 recon: 0.074 id: 0.072 time: 4:31:48.421697\n",
"Epoch 40/150 1000/2595 [D loss: 0.022 acc: 1.000][G loss: 2.218 adv: 1.393 recon: 0.069 id: 0.069 time: 4:34:52.740982\n",
"Epoch 40/150 2000/2595 [D loss: 0.044 acc: 0.996][G loss: 2.555 adv: 1.528 recon: 0.086 id: 0.083 time: 4:37:57.834374\n",
"Epoch 40/150 [D loss: 0.046 acc: 0.971][G loss: 2.285 adv: 1.419 recon: 0.072 id: 0.071 time: 4:39:47.362697\n",
"Epoch 41/150 1000/2595 [D loss: 0.047 acc: 0.999][G loss: 2.989 adv: 2.115 recon: 0.073 id: 0.074 time: 4:42:52.615859\n",
"Epoch 41/150 2000/2595 [D loss: 0.080 acc: 0.944][G loss: 2.051 adv: 1.025 recon: 0.086 id: 0.083 time: 4:45:57.002274\n",
"Epoch 41/150 [D loss: 0.050 acc: 0.966][G loss: 2.237 adv: 1.375 recon: 0.072 id: 0.071 time: 4:47:47.040448\n",
"Epoch 42/150 1000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.650 adv: 1.805 recon: 0.071 id: 0.069 time: 4:50:51.854794\n",
"Epoch 42/150 2000/2595 [D loss: 0.046 acc: 1.000][G loss: 2.842 adv: 1.802 recon: 0.088 id: 0.082 time: 4:53:56.298720\n",
"Epoch 42/150 [D loss: 0.051 acc: 0.965][G loss: 2.196 adv: 1.337 recon: 0.072 id: 0.070 time: 4:55:45.785264\n",
"Epoch 43/150 1000/2595 [D loss: 0.022 acc: 1.000][G loss: 1.984 adv: 1.152 recon: 0.070 id: 0.069 time: 4:58:50.604572\n",
"Epoch 43/150 2000/2595 [D loss: 0.037 acc: 0.996][G loss: 2.638 adv: 1.604 recon: 0.087 id: 0.084 time: 5:01:54.873099\n",
"Epoch 43/150 [D loss: 0.052 acc: 0.965][G loss: 2.180 adv: 1.328 recon: 0.071 id: 0.070 time: 5:03:45.125369\n",
"Epoch 44/150 1000/2595 [D loss: 0.053 acc: 0.997][G loss: 2.489 adv: 1.660 recon: 0.069 id: 0.069 time: 5:06:49.372884\n",
"Epoch 44/150 2000/2595 [D loss: 0.087 acc: 0.969][G loss: 3.199 adv: 2.170 recon: 0.086 id: 0.083 time: 5:09:53.965545\n",
"Epoch 44/150 [D loss: 0.053 acc: 0.964][G loss: 2.190 adv: 1.341 recon: 0.071 id: 0.070 time: 5:11:43.631578\n",
"Epoch 45/150 1000/2595 [D loss: 0.050 acc: 0.965][G loss: 2.214 adv: 1.416 recon: 0.066 id: 0.068 time: 5:14:48.132611\n",
"Epoch 45/150 2000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.488 adv: 1.442 recon: 0.088 id: 0.083 time: 5:17:52.791835\n",
"Epoch 45/150 [D loss: 0.054 acc: 0.959][G loss: 2.205 adv: 1.359 recon: 0.071 id: 0.069 time: 5:19:42.996186\n",
"Epoch 46/150 1000/2595 [D loss: 0.065 acc: 0.986][G loss: 2.263 adv: 1.429 recon: 0.070 id: 0.069 time: 5:22:47.656645\n",
"Epoch 46/150 2000/2595 [D loss: 0.038 acc: 0.990][G loss: 3.163 adv: 2.144 recon: 0.086 id: 0.081 time: 5:25:52.012794\n",
"Epoch 46/150 [D loss: 0.054 acc: 0.961][G loss: 2.204 adv: 1.360 recon: 0.071 id: 0.069 time: 5:27:42.116659\n",
"Epoch 47/150 1000/2595 [D loss: 0.015 acc: 1.000][G loss: 2.182 adv: 1.365 recon: 0.068 id: 0.067 time: 5:30:46.271509\n",
"Epoch 47/150 2000/2595 [D loss: 0.062 acc: 0.974][G loss: 2.377 adv: 1.307 recon: 0.090 id: 0.084 time: 5:33:51.209543\n",
"Epoch 47/150 [D loss: 0.053 acc: 0.964][G loss: 2.249 adv: 1.394 recon: 0.072 id: 0.070 time: 5:35:40.204410\n",
"Epoch 48/150 1000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.483 adv: 1.659 recon: 0.069 id: 0.069 time: 5:38:41.542643\n",
"Epoch 48/150 2000/2595 [D loss: 0.086 acc: 0.866][G loss: 2.502 adv: 1.495 recon: 0.084 id: 0.083 time: 5:41:42.579689\n",
"Epoch 48/150 [D loss: 0.053 acc: 0.964][G loss: 2.196 adv: 1.346 recon: 0.071 id: 0.069 time: 5:43:30.174600\n",
"Epoch 49/150 1000/2595 [D loss: 0.042 acc: 0.992][G loss: 3.137 adv: 2.270 recon: 0.073 id: 0.071 time: 5:46:29.125294\n",
"Epoch 49/150 2000/2595 [D loss: 0.081 acc: 0.964][G loss: 2.645 adv: 1.619 recon: 0.086 id: 0.083 time: 5:49:29.454908\n",
"Epoch 49/150 [D loss: 0.056 acc: 0.960][G loss: 2.173 adv: 1.323 recon: 0.071 id: 0.069 time: 5:51:15.530280\n",
"Epoch 50/150 1000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.069 adv: 1.264 recon: 0.067 id: 0.066 time: 5:54:14.694723\n",
"Epoch 50/150 2000/2595 [D loss: 0.052 acc: 0.957][G loss: 2.345 adv: 1.317 recon: 0.086 id: 0.082 time: 5:57:12.821335\n",
"Epoch 50/150 [D loss: 0.057 acc: 0.958][G loss: 2.153 adv: 1.311 recon: 0.070 id: 0.069 time: 5:58:59.576782\n",
"Epoch 51/150 1000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.339 adv: 1.542 recon: 0.067 id: 0.066 time: 6:01:59.633310\n",
"Epoch 51/150 2000/2595 [D loss: 0.033 acc: 0.996][G loss: 2.972 adv: 1.911 recon: 0.089 id: 0.085 time: 6:04:58.769062\n",
"Epoch 51/150 [D loss: 0.052 acc: 0.967][G loss: 2.200 adv: 1.349 recon: 0.071 id: 0.069 time: 6:06:45.192936\n",
"Epoch 52/150 1000/2595 [D loss: 0.060 acc: 0.946][G loss: 2.240 adv: 1.445 recon: 0.066 id: 0.067 time: 6:09:44.969406\n",
"Epoch 52/150 2000/2595 [D loss: 0.077 acc: 0.922][G loss: 3.271 adv: 2.199 recon: 0.090 id: 0.084 time: 6:12:43.316948\n",
"Epoch 52/150 [D loss: 0.054 acc: 0.962][G loss: 2.245 adv: 1.390 recon: 0.072 id: 0.069 time: 6:14:30.083192\n",
"Epoch 53/150 1000/2595 [D loss: 0.076 acc: 0.939][G loss: 2.411 adv: 1.586 recon: 0.069 id: 0.069 time: 6:17:28.870494\n",
"Epoch 53/150 2000/2595 [D loss: 0.028 acc: 1.000][G loss: 2.242 adv: 1.228 recon: 0.084 id: 0.085 time: 6:20:28.645928\n",
"Epoch 53/150 [D loss: 0.051 acc: 0.965][G loss: 2.259 adv: 1.407 recon: 0.071 id: 0.069 time: 6:22:15.125090\n",
"Epoch 54/150 1000/2595 [D loss: 0.023 acc: 0.999][G loss: 2.597 adv: 1.772 recon: 0.069 id: 0.068 time: 6:25:14.420199\n",
"Epoch 54/150 2000/2595 [D loss: 0.022 acc: 0.998][G loss: 3.163 adv: 2.122 recon: 0.087 id: 0.086 time: 6:28:13.718188\n",
"Epoch 54/150 [D loss: 0.047 acc: 0.972][G loss: 2.258 adv: 1.404 recon: 0.072 id: 0.069 time: 6:30:00.980146\n",
"Epoch 55/150 1000/2595 [D loss: 0.033 acc: 1.000][G loss: 2.789 adv: 1.947 recon: 0.070 id: 0.069 time: 6:33:00.407668\n",
"Epoch 55/150 2000/2595 [D loss: 0.040 acc: 0.977][G loss: 2.918 adv: 1.873 recon: 0.088 id: 0.084 time: 6:35:59.794653\n",
"Epoch 55/150 [D loss: 0.049 acc: 0.967][G loss: 2.249 adv: 1.396 recon: 0.071 id: 0.069 time: 6:37:46.414743\n",
"Epoch 56/150 1000/2595 [D loss: 0.028 acc: 1.000][G loss: 2.606 adv: 1.773 recon: 0.070 id: 0.069 time: 6:40:46.387588\n",
"Epoch 56/150 2000/2595 [D loss: 0.026 acc: 1.000][G loss: 2.695 adv: 1.668 recon: 0.086 id: 0.084 time: 6:43:45.509763\n",
"Epoch 56/150 [D loss: 0.045 acc: 0.972][G loss: 2.311 adv: 1.452 recon: 0.072 id: 0.070 time: 6:45:32.382935\n",
"Epoch 57/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.484 adv: 1.648 recon: 0.070 id: 0.070 time: 6:48:31.566145\n",
"Epoch 57/150 2000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.433 adv: 1.415 recon: 0.085 id: 0.085 time: 6:51:30.823351\n",
"Epoch 57/150 [D loss: 0.046 acc: 0.971][G loss: 2.270 adv: 1.417 recon: 0.071 id: 0.070 time: 6:53:17.244884\n",
"Epoch 58/150 1000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.179 adv: 1.350 recon: 0.069 id: 0.068 time: 6:56:17.202282\n",
"Epoch 58/150 2000/2595 [D loss: 0.052 acc: 0.978][G loss: 2.776 adv: 1.772 recon: 0.084 id: 0.083 time: 6:59:16.694820\n",
"Epoch 58/150 [D loss: 0.052 acc: 0.962][G loss: 2.263 adv: 1.417 recon: 0.071 id: 0.069 time: 7:01:03.974931\n",
"Epoch 59/150 1000/2595 [D loss: 0.044 acc: 0.995][G loss: 2.511 adv: 1.685 recon: 0.069 id: 0.068 time: 7:04:03.371036\n",
"Epoch 59/150 2000/2595 [D loss: 0.020 acc: 0.999][G loss: 2.675 adv: 1.665 recon: 0.085 id: 0.083 time: 7:07:03.447681\n",
"Epoch 59/150 [D loss: 0.053 acc: 0.961][G loss: 2.218 adv: 1.376 recon: 0.070 id: 0.069 time: 7:08:50.238642\n",
"Epoch 60/150 1000/2595 [D loss: 0.038 acc: 0.996][G loss: 2.147 adv: 1.354 recon: 0.066 id: 0.067 time: 7:11:49.868451\n",
"Epoch 60/150 2000/2595 [D loss: 0.052 acc: 0.975][G loss: 2.526 adv: 1.517 recon: 0.084 id: 0.083 time: 7:14:48.372867\n",
"Epoch 60/150 [D loss: 0.049 acc: 0.967][G loss: 2.238 adv: 1.398 recon: 0.070 id: 0.069 time: 7:16:34.900658\n",
"Epoch 61/150 1000/2595 [D loss: 0.019 acc: 0.999][G loss: 2.076 adv: 1.272 recon: 0.067 id: 0.067 time: 7:19:34.061726\n",
"Epoch 61/150 2000/2595 [D loss: 0.021 acc: 0.997][G loss: 2.708 adv: 1.660 recon: 0.088 id: 0.084 time: 7:22:33.511664\n",
"Epoch 61/150 [D loss: 0.048 acc: 0.967][G loss: 2.260 adv: 1.421 recon: 0.070 id: 0.069 time: 7:24:20.209820\n",
"Epoch 62/150 1000/2595 [D loss: 0.034 acc: 0.999][G loss: 2.570 adv: 1.737 recon: 0.070 id: 0.068 time: 7:27:20.672228\n",
"Epoch 62/150 2000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.672 adv: 1.649 recon: 0.086 id: 0.083 time: 7:30:20.183659\n",
"Epoch 62/150 [D loss: 0.049 acc: 0.965][G loss: 2.253 adv: 1.419 recon: 0.070 id: 0.068 time: 7:32:07.548868\n",
"Epoch 63/150 1000/2595 [D loss: 0.082 acc: 0.889][G loss: 2.473 adv: 1.686 recon: 0.065 id: 0.067 time: 7:35:06.869715\n",
"Epoch 63/150 2000/2595 [D loss: 0.025 acc: 1.000][G loss: 2.516 adv: 1.464 recon: 0.088 id: 0.086 time: 7:38:06.769816\n",
"Epoch 63/150 [D loss: 0.050 acc: 0.965][G loss: 2.240 adv: 1.410 recon: 0.069 id: 0.068 time: 7:39:53.603877\n",
"Epoch 64/150 1000/2595 [D loss: 0.052 acc: 1.000][G loss: 2.399 adv: 1.564 recon: 0.070 id: 0.070 time: 7:42:54.185724\n",
"Epoch 64/150 2000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.621 adv: 1.599 recon: 0.085 id: 0.083 time: 7:45:53.766283\n",
"Epoch 64/150 [D loss: 0.045 acc: 0.972][G loss: 2.268 adv: 1.435 recon: 0.070 id: 0.068 time: 7:47:41.185944\n",
"Epoch 65/150 1000/2595 [D loss: 0.065 acc: 0.965][G loss: 2.934 adv: 2.098 recon: 0.070 id: 0.069 time: 7:50:40.627816\n",
"Epoch 65/150 2000/2595 [D loss: 0.050 acc: 0.996][G loss: 3.059 adv: 2.028 recon: 0.086 id: 0.084 time: 7:53:40.227058\n",
"Epoch 65/150 [D loss: 0.044 acc: 0.974][G loss: 2.272 adv: 1.433 recon: 0.070 id: 0.069 time: 7:55:26.989760\n",
"Epoch 66/150 1000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.900 adv: 2.055 recon: 0.070 id: 0.071 time: 7:58:26.328519\n",
"Epoch 66/150 2000/2595 [D loss: 0.061 acc: 0.937][G loss: 2.823 adv: 1.816 recon: 0.084 id: 0.083 time: 8:01:25.262732\n",
"Epoch 66/150 [D loss: 0.049 acc: 0.968][G loss: 2.230 adv: 1.395 recon: 0.070 id: 0.069 time: 8:03:12.812476\n",
"Epoch 67/150 1000/2595 [D loss: 0.026 acc: 1.000][G loss: 2.594 adv: 1.789 recon: 0.067 id: 0.066 time: 8:06:12.604175\n",
"Epoch 67/150 2000/2595 [D loss: 0.128 acc: 0.806][G loss: 2.106 adv: 1.087 recon: 0.085 id: 0.086 time: 8:09:12.223631\n",
"Epoch 67/150 [D loss: 0.045 acc: 0.972][G loss: 2.283 adv: 1.437 recon: 0.071 id: 0.069 time: 8:10:58.877701\n",
"Epoch 68/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.402 adv: 1.563 recon: 0.070 id: 0.068 time: 8:13:58.734120\n",
"Epoch 68/150 2000/2595 [D loss: 0.015 acc: 1.000][G loss: 3.138 adv: 2.148 recon: 0.082 id: 0.084 time: 8:16:58.120213\n",
"Epoch 68/150 [D loss: 0.047 acc: 0.970][G loss: 2.289 adv: 1.445 recon: 0.071 id: 0.069 time: 8:18:45.067919\n",
"Epoch 69/150 1000/2595 [D loss: 0.041 acc: 0.998][G loss: 2.423 adv: 1.596 recon: 0.069 id: 0.067 time: 8:21:44.076774\n",
"Epoch 69/150 2000/2595 [D loss: 0.070 acc: 0.923][G loss: 2.253 adv: 1.249 recon: 0.084 id: 0.081 time: 8:24:43.630610\n",
"Epoch 69/150 [D loss: 0.049 acc: 0.967][G loss: 2.249 adv: 1.408 recon: 0.070 id: 0.069 time: 8:26:30.301595\n",
"Epoch 70/150 1000/2595 [D loss: 0.012 acc: 1.000][G loss: 2.893 adv: 2.087 recon: 0.067 id: 0.067 time: 8:29:29.741340\n",
"Epoch 70/150 2000/2595 [D loss: 0.404 acc: 0.349][G loss: 2.281 adv: 1.266 recon: 0.085 id: 0.082 time: 8:32:28.625559\n",
"Epoch 70/150 [D loss: 0.050 acc: 0.966][G loss: 2.261 adv: 1.423 recon: 0.070 id: 0.069 time: 8:34:16.194892\n",
"Epoch 71/150 1000/2595 [D loss: 0.013 acc: 1.000][G loss: 2.493 adv: 1.684 recon: 0.068 id: 0.067 time: 8:37:15.461141\n",
"Epoch 71/150 2000/2595 [D loss: 0.028 acc: 1.000][G loss: 2.614 adv: 1.606 recon: 0.084 id: 0.082 time: 8:40:14.833194\n",
"Epoch 71/150 [D loss: 0.047 acc: 0.970][G loss: 2.277 adv: 1.441 recon: 0.070 id: 0.069 time: 8:42:01.328077\n",
"Epoch 72/150 1000/2595 [D loss: 0.080 acc: 0.925][G loss: 2.533 adv: 1.737 recon: 0.066 id: 0.065 time: 8:45:00.939926\n",
"Epoch 72/150 2000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.455 adv: 1.441 recon: 0.085 id: 0.083 time: 8:47:59.783210\n",
"Epoch 72/150 [D loss: 0.048 acc: 0.968][G loss: 2.283 adv: 1.448 recon: 0.070 id: 0.069 time: 8:49:46.465880\n",
"Epoch 73/150 1000/2595 [D loss: 0.023 acc: 0.998][G loss: 2.311 adv: 1.487 recon: 0.069 id: 0.067 time: 8:52:46.187368\n",
"Epoch 73/150 2000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.754 adv: 1.762 recon: 0.083 id: 0.080 time: 8:55:46.216843\n",
"Epoch 73/150 [D loss: 0.049 acc: 0.967][G loss: 2.248 adv: 1.416 recon: 0.069 id: 0.068 time: 8:57:32.694069\n",
"Epoch 74/150 1000/2595 [D loss: 0.030 acc: 1.000][G loss: 2.291 adv: 1.496 recon: 0.066 id: 0.065 time: 9:00:31.713187\n",
"Epoch 74/150 2000/2595 [D loss: 0.028 acc: 0.998][G loss: 3.100 adv: 2.063 recon: 0.087 id: 0.083 time: 9:03:30.401607\n",
"Epoch 74/150 [D loss: 0.048 acc: 0.968][G loss: 2.247 adv: 1.416 recon: 0.069 id: 0.068 time: 9:05:17.239908\n",
"Epoch 75/150 1000/2595 [D loss: 0.043 acc: 0.993][G loss: 2.436 adv: 1.627 recon: 0.068 id: 0.067 time: 9:08:16.462308\n",
"Epoch 75/150 2000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.505 adv: 1.503 recon: 0.084 id: 0.083 time: 9:11:16.229808\n",
"Epoch 75/150 [D loss: 0.044 acc: 0.972][G loss: 2.288 adv: 1.458 recon: 0.069 id: 0.068 time: 9:13:03.080915\n",
"Epoch 76/150 1000/2595 [D loss: 0.195 acc: 0.689][G loss: 2.062 adv: 1.220 recon: 0.070 id: 0.070 time: 9:16:02.915716\n",
"Epoch 76/150 2000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.589 adv: 1.577 recon: 0.085 id: 0.081 time: 9:19:02.561653\n",
"Epoch 76/150 [D loss: 0.048 acc: 0.967][G loss: 2.301 adv: 1.464 recon: 0.070 id: 0.069 time: 9:20:49.751369\n",
"Epoch 77/150 1000/2595 [D loss: 0.247 acc: 0.717][G loss: 1.880 adv: 1.074 recon: 0.067 id: 0.067 time: 9:23:48.625259\n",
"Epoch 77/150 2000/2595 [D loss: 0.045 acc: 0.996][G loss: 2.742 adv: 1.738 recon: 0.084 id: 0.082 time: 9:26:47.047803\n",
"Epoch 77/150 [D loss: 0.045 acc: 0.971][G loss: 2.318 adv: 1.484 recon: 0.070 id: 0.069 time: 9:28:34.144020\n",
"Epoch 78/150 1000/2595 [D loss: 0.291 acc: 0.599][G loss: 2.214 adv: 1.408 recon: 0.067 id: 0.068 time: 9:31:32.721858\n",
"Epoch 78/150 2000/2595 [D loss: 0.102 acc: 0.927][G loss: 3.338 adv: 2.321 recon: 0.085 id: 0.083 time: 9:34:31.743595\n",
"Epoch 78/150 [D loss: 0.044 acc: 0.971][G loss: 2.314 adv: 1.487 recon: 0.069 id: 0.068 time: 9:36:18.319896\n",
"Epoch 79/150 1000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.385 adv: 1.584 recon: 0.067 id: 0.067 time: 9:39:17.761826\n",
"Epoch 79/150 2000/2595 [D loss: 0.042 acc: 0.995][G loss: 2.717 adv: 1.710 recon: 0.084 id: 0.083 time: 9:42:16.944070\n",
"Epoch 79/150 [D loss: 0.051 acc: 0.963][G loss: 2.263 adv: 1.439 recon: 0.069 id: 0.068 time: 9:44:03.893668\n",
"Epoch 80/150 1000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.026 adv: 1.242 recon: 0.065 id: 0.065 time: 9:47:02.586640\n",
"Epoch 80/150 2000/2595 [D loss: 0.043 acc: 0.988][G loss: 2.717 adv: 1.696 recon: 0.085 id: 0.084 time: 9:50:02.758711\n",
"Epoch 80/150 [D loss: 0.047 acc: 0.969][G loss: 2.258 adv: 1.435 recon: 0.069 id: 0.068 time: 9:51:50.041663\n",
"Epoch 81/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.039 adv: 1.245 recon: 0.066 id: 0.065 time: 9:54:49.831591\n",
"Epoch 81/150 2000/2595 [D loss: 0.038 acc: 0.996][G loss: 3.062 adv: 2.064 recon: 0.083 id: 0.082 time: 9:57:48.616867\n",
"Epoch 81/150 [D loss: 0.050 acc: 0.964][G loss: 2.267 adv: 1.444 recon: 0.069 id: 0.068 time: 9:59:35.555490\n",
"Epoch 82/150 1000/2595 [D loss: 0.017 acc: 1.000][G loss: 2.569 adv: 1.775 recon: 0.066 id: 0.065 time: 10:02:34.180989\n",
"Epoch 82/150 2000/2595 [D loss: 0.089 acc: 0.940][G loss: 2.298 adv: 1.299 recon: 0.084 id: 0.081 time: 10:05:33.137426\n",
"Epoch 82/150 [D loss: 0.050 acc: 0.966][G loss: 2.240 adv: 1.417 recon: 0.069 id: 0.068 time: 10:07:20.092094\n",
"Epoch 83/150 1000/2595 [D loss: 0.093 acc: 0.913][G loss: 1.859 adv: 1.075 recon: 0.065 id: 0.066 time: 10:10:19.638767\n",
"Epoch 83/150 2000/2595 [D loss: 0.089 acc: 0.937][G loss: 2.360 adv: 1.367 recon: 0.083 id: 0.082 time: 10:13:18.590749\n",
"Epoch 83/150 [D loss: 0.047 acc: 0.969][G loss: 2.297 adv: 1.475 recon: 0.069 id: 0.068 time: 10:15:05.017007\n",
"Epoch 84/150 1000/2595 [D loss: 0.161 acc: 0.718][G loss: 2.275 adv: 1.472 recon: 0.067 id: 0.066 time: 10:18:03.510610\n",
"Epoch 84/150 2000/2595 [D loss: 0.047 acc: 0.985][G loss: 2.795 adv: 1.814 recon: 0.082 id: 0.081 time: 10:21:02.311143\n",
"Epoch 84/150 [D loss: 0.045 acc: 0.972][G loss: 2.334 adv: 1.501 recon: 0.070 id: 0.069 time: 10:22:49.283528\n",
"Epoch 85/150 1000/2595 [D loss: 0.025 acc: 0.997][G loss: 2.438 adv: 1.619 recon: 0.068 id: 0.068 time: 10:25:48.705173\n",
"Epoch 85/150 2000/2595 [D loss: 0.075 acc: 0.928][G loss: 2.271 adv: 1.251 recon: 0.085 id: 0.083 time: 10:28:48.580970\n",
"Epoch 85/150 [D loss: 0.046 acc: 0.970][G loss: 2.316 adv: 1.487 recon: 0.069 id: 0.069 time: 10:30:35.388568\n",
"Epoch 86/150 1000/2595 [D loss: 0.029 acc: 1.000][G loss: 2.378 adv: 1.577 recon: 0.067 id: 0.067 time: 10:33:34.707859\n",
"Epoch 86/150 2000/2595 [D loss: 0.058 acc: 0.963][G loss: 2.977 adv: 1.965 recon: 0.085 id: 0.083 time: 10:36:33.763657\n",
"Epoch 86/150 [D loss: 0.043 acc: 0.973][G loss: 2.350 adv: 1.523 recon: 0.069 id: 0.068 time: 10:38:20.259803\n",
"Epoch 87/150 1000/2595 [D loss: 0.040 acc: 1.000][G loss: 2.833 adv: 1.954 recon: 0.074 id: 0.067 time: 10:41:19.325180\n",
"Epoch 87/150 2000/2595 [D loss: 0.024 acc: 0.997][G loss: 2.941 adv: 1.937 recon: 0.084 id: 0.083 time: 10:44:19.136957\n",
"Epoch 87/150 [D loss: 0.044 acc: 0.973][G loss: 2.377 adv: 1.538 recon: 0.070 id: 0.069 time: 10:46:05.460124\n",
"Epoch 88/150 1000/2595 [D loss: 0.029 acc: 1.000][G loss: 3.056 adv: 2.214 recon: 0.070 id: 0.069 time: 10:49:06.156491\n",
"Epoch 88/150 2000/2595 [D loss: 0.012 acc: 1.000][G loss: 2.898 adv: 1.878 recon: 0.085 id: 0.084 time: 10:52:05.706665\n",
"Epoch 88/150 [D loss: 0.043 acc: 0.974][G loss: 2.376 adv: 1.530 recon: 0.071 id: 0.069 time: 10:53:53.137640\n",
"Epoch 89/150 1000/2595 [D loss: 0.087 acc: 0.864][G loss: 3.225 adv: 2.419 recon: 0.067 id: 0.067 time: 10:56:52.165669\n",
"Epoch 89/150 2000/2595 [D loss: 0.039 acc: 0.991][G loss: 2.666 adv: 1.655 recon: 0.085 id: 0.082 time: 10:59:51.788630\n",
"Epoch 89/150 [D loss: 0.047 acc: 0.969][G loss: 2.274 adv: 1.443 recon: 0.069 id: 0.069 time: 11:01:38.390787\n",
"Epoch 90/150 1000/2595 [D loss: 0.032 acc: 1.000][G loss: 2.597 adv: 1.787 recon: 0.068 id: 0.067 time: 11:04:37.955680\n",
"Epoch 90/150 2000/2595 [D loss: 0.263 acc: 0.522][G loss: 2.208 adv: 1.207 recon: 0.084 id: 0.081 time: 11:07:37.741100\n",
"Epoch 90/150 [D loss: 0.050 acc: 0.965][G loss: 2.246 adv: 1.418 recon: 0.069 id: 0.069 time: 11:09:25.259284\n",
"Epoch 91/150 1000/2595 [D loss: 0.031 acc: 1.000][G loss: 2.488 adv: 1.666 recon: 0.069 id: 0.069 time: 11:12:25.310384\n",
"Epoch 91/150 2000/2595 [D loss: 0.056 acc: 0.944][G loss: 2.439 adv: 1.428 recon: 0.084 id: 0.083 time: 11:15:25.228785\n",
"Epoch 91/150 [D loss: 0.050 acc: 0.964][G loss: 2.238 adv: 1.414 recon: 0.069 id: 0.068 time: 11:17:11.557938\n",
"Epoch 92/150 1000/2595 [D loss: 0.035 acc: 0.997][G loss: 3.344 adv: 2.454 recon: 0.074 id: 0.075 time: 11:20:10.735102\n",
"Epoch 92/150 2000/2595 [D loss: 0.054 acc: 0.957][G loss: 2.972 adv: 1.902 recon: 0.090 id: 0.087 time: 11:23:09.788371\n",
"Epoch 92/150 [D loss: 0.050 acc: 0.965][G loss: 2.264 adv: 1.437 recon: 0.069 id: 0.068 time: 11:24:57.197563\n",
"Epoch 93/150 1000/2595 [D loss: 0.025 acc: 1.000][G loss: 2.255 adv: 1.456 recon: 0.066 id: 0.067 time: 11:27:56.149030\n",
"Epoch 93/150 2000/2595 [D loss: 0.015 acc: 1.000][G loss: 2.662 adv: 1.656 recon: 0.084 id: 0.081 time: 11:30:55.372618\n",
"Epoch 93/150 [D loss: 0.049 acc: 0.964][G loss: 2.252 adv: 1.427 recon: 0.069 id: 0.068 time: 11:32:41.632924\n",
"Epoch 94/150 1000/2595 [D loss: 0.057 acc: 0.959][G loss: 2.888 adv: 2.089 recon: 0.067 id: 0.066 time: 11:35:41.573200\n",
"Epoch 94/150 2000/2595 [D loss: 0.060 acc: 0.933][G loss: 2.345 adv: 1.335 recon: 0.085 id: 0.082 time: 11:38:40.481836\n",
"Epoch 94/150 [D loss: 0.046 acc: 0.970][G loss: 2.296 adv: 1.467 recon: 0.069 id: 0.068 time: 11:40:27.078669\n",
"Epoch 95/150 1000/2595 [D loss: 0.012 acc: 1.000][G loss: 2.798 adv: 1.989 recon: 0.067 id: 0.067 time: 11:43:25.494473\n",
"Epoch 95/150 2000/2595 [D loss: 0.038 acc: 0.997][G loss: 2.575 adv: 1.556 recon: 0.086 id: 0.082 time: 11:46:24.826669\n",
"Epoch 95/150 [D loss: 0.044 acc: 0.972][G loss: 2.311 adv: 1.480 recon: 0.069 id: 0.068 time: 11:48:11.029749\n",
"Epoch 96/150 1000/2595 [D loss: 0.030 acc: 1.000][G loss: 2.857 adv: 2.048 recon: 0.067 id: 0.068 time: 11:51:10.317062\n",
"Epoch 96/150 2000/2595 [D loss: 0.027 acc: 0.993][G loss: 2.983 adv: 1.975 recon: 0.084 id: 0.082 time: 11:54:08.898165\n",
"Epoch 96/150 [D loss: 0.045 acc: 0.970][G loss: 2.340 adv: 1.499 recon: 0.070 id: 0.069 time: 11:55:56.157955\n",
"Epoch 97/150 1000/2595 [D loss: 0.024 acc: 1.000][G loss: 2.102 adv: 1.283 recon: 0.069 id: 0.065 time: 11:58:54.727899\n",
"Epoch 97/150 2000/2595 [D loss: 0.017 acc: 1.000][G loss: 2.962 adv: 1.961 recon: 0.084 id: 0.081 time: 12:01:54.058545\n",
"Epoch 97/150 [D loss: 0.046 acc: 0.968][G loss: 2.316 adv: 1.478 recon: 0.070 id: 0.069 time: 12:03:40.684588\n",
"Epoch 98/150 1000/2595 [D loss: 0.053 acc: 0.962][G loss: 2.508 adv: 1.679 recon: 0.070 id: 0.066 time: 12:06:40.146891\n",
"Epoch 98/150 2000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.878 adv: 1.881 recon: 0.084 id: 0.081 time: 12:09:39.631970\n",
"Epoch 98/150 [D loss: 0.045 acc: 0.969][G loss: 2.332 adv: 1.496 recon: 0.070 id: 0.068 time: 12:11:27.197769\n",
"Epoch 99/150 1000/2595 [D loss: 0.029 acc: 0.993][G loss: 2.296 adv: 1.486 recon: 0.068 id: 0.066 time: 12:14:26.238419\n",
"Epoch 99/150 2000/2595 [D loss: 0.053 acc: 0.960][G loss: 2.939 adv: 1.940 recon: 0.084 id: 0.081 time: 12:17:26.360329\n",
"Epoch 99/150 [D loss: 0.044 acc: 0.972][G loss: 2.325 adv: 1.491 recon: 0.070 id: 0.068 time: 12:19:13.038078\n",
"Epoch 100/150 1000/2595 [D loss: 0.015 acc: 1.000][G loss: 2.419 adv: 1.622 recon: 0.066 id: 0.067 time: 12:22:13.094845\n",
"Epoch 100/150 2000/2595 [D loss: 0.048 acc: 0.943][G loss: 2.438 adv: 1.455 recon: 0.082 id: 0.081 time: 12:25:12.166336\n",
"Epoch 100/150 [D loss: 0.042 acc: 0.974][G loss: 2.344 adv: 1.511 recon: 0.070 id: 0.068 time: 12:26:59.344969\n",
"Epoch 101/150 1000/2595 [D loss: 0.182 acc: 0.680][G loss: 2.078 adv: 1.190 recon: 0.074 id: 0.072 time: 12:30:02.654584\n",
"Epoch 101/150 2000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.473 adv: 1.471 recon: 0.084 id: 0.084 time: 12:33:02.976838\n",
"Epoch 101/150 [D loss: 0.043 acc: 0.974][G loss: 2.359 adv: 1.522 recon: 0.070 id: 0.069 time: 12:34:50.469157\n",
"Epoch 102/150 1000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.510 adv: 1.683 recon: 0.069 id: 0.068 time: 12:37:50.413936\n",
"Epoch 102/150 2000/2595 [D loss: 0.031 acc: 0.997][G loss: 2.579 adv: 1.571 recon: 0.084 id: 0.085 time: 12:40:49.755482\n",
"Epoch 102/150 [D loss: 0.044 acc: 0.973][G loss: 2.365 adv: 1.526 recon: 0.070 id: 0.069 time: 12:42:37.092950\n",
"Epoch 103/150 1000/2595 [D loss: 0.020 acc: 1.000][G loss: 3.229 adv: 2.414 recon: 0.068 id: 0.067 time: 12:45:36.962093\n",
"Epoch 103/150 2000/2595 [D loss: 0.058 acc: 0.997][G loss: 3.083 adv: 2.072 recon: 0.084 id: 0.085 time: 12:48:37.290924\n",
"Epoch 103/150 [D loss: 0.043 acc: 0.974][G loss: 2.376 adv: 1.538 recon: 0.070 id: 0.069 time: 12:50:23.794837\n",
"Epoch 104/150 1000/2595 [D loss: 0.044 acc: 1.000][G loss: 2.879 adv: 2.064 recon: 0.068 id: 0.066 time: 12:53:23.257109\n",
"Epoch 104/150 2000/2595 [D loss: 0.045 acc: 0.966][G loss: 2.772 adv: 1.749 recon: 0.086 id: 0.082 time: 12:56:23.199787\n",
"Epoch 104/150 [D loss: 0.040 acc: 0.977][G loss: 2.396 adv: 1.561 recon: 0.070 id: 0.069 time: 12:58:10.433593\n",
"Epoch 105/150 1000/2595 [D loss: 0.040 acc: 0.981][G loss: 2.793 adv: 1.996 recon: 0.067 id: 0.065 time: 13:01:10.650486\n",
"Epoch 105/150 2000/2595 [D loss: 0.028 acc: 1.000][G loss: 3.089 adv: 2.088 recon: 0.084 id: 0.082 time: 13:04:10.902935\n",
"Epoch 105/150 [D loss: 0.045 acc: 0.970][G loss: 2.372 adv: 1.544 recon: 0.069 id: 0.068 time: 13:05:57.391620\n",
"Epoch 106/150 1000/2595 [D loss: 0.024 acc: 1.000][G loss: 2.651 adv: 1.859 recon: 0.066 id: 0.066 time: 13:08:57.887264\n",
"Epoch 106/150 2000/2595 [D loss: 0.031 acc: 1.000][G loss: 2.725 adv: 1.711 recon: 0.085 id: 0.084 time: 13:12:01.021898\n",
"Epoch 106/150 [D loss: 0.047 acc: 0.966][G loss: 2.344 adv: 1.523 recon: 0.069 id: 0.068 time: 13:13:50.116010\n",
"Epoch 107/150 1000/2595 [D loss: 0.040 acc: 1.000][G loss: 2.843 adv: 2.028 recon: 0.068 id: 0.067 time: 13:16:51.585026\n",
"Epoch 107/150 2000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.685 adv: 1.682 recon: 0.083 id: 0.084 time: 13:19:53.096760\n",
"Epoch 107/150 [D loss: 0.046 acc: 0.970][G loss: 2.344 adv: 1.516 recon: 0.069 id: 0.068 time: 13:21:40.940190\n",
"Epoch 108/150 1000/2595 [D loss: 0.025 acc: 1.000][G loss: 2.515 adv: 1.693 recon: 0.069 id: 0.067 time: 13:24:42.813889\n",
"Epoch 108/150 2000/2595 [D loss: 0.104 acc: 0.871][G loss: 2.940 adv: 1.897 recon: 0.087 id: 0.087 time: 13:27:44.273657\n",
"Epoch 108/150 [D loss: 0.048 acc: 0.967][G loss: 2.288 adv: 1.466 recon: 0.069 id: 0.068 time: 13:29:32.068730\n",
"Epoch 109/150 1000/2595 [D loss: 0.034 acc: 0.998][G loss: 2.353 adv: 1.561 recon: 0.066 id: 0.066 time: 13:32:32.734603\n",
"Epoch 109/150 2000/2595 [D loss: 0.035 acc: 0.957][G loss: 2.739 adv: 1.748 recon: 0.083 id: 0.083 time: 13:35:34.582085\n",
"Epoch 109/150 [D loss: 0.050 acc: 0.965][G loss: 2.283 adv: 1.460 recon: 0.069 id: 0.068 time: 13:37:22.208069\n",
"Epoch 110/150 1000/2595 [D loss: 0.022 acc: 0.995][G loss: 2.487 adv: 1.693 recon: 0.066 id: 0.067 time: 13:40:23.228542\n",
"Epoch 110/150 2000/2595 [D loss: 0.035 acc: 0.997][G loss: 2.718 adv: 1.726 recon: 0.083 id: 0.082 time: 13:43:23.266817\n",
"Epoch 110/150 [D loss: 0.049 acc: 0.964][G loss: 2.315 adv: 1.494 recon: 0.069 id: 0.068 time: 13:45:10.600919\n",
"Epoch 111/150 1000/2595 [D loss: 0.040 acc: 1.000][G loss: 2.936 adv: 2.120 recon: 0.068 id: 0.068 time: 13:48:10.853690\n",
"Epoch 111/150 2000/2595 [D loss: 0.028 acc: 0.996][G loss: 2.683 adv: 1.705 recon: 0.082 id: 0.081 time: 13:51:11.174334\n",
"Epoch 111/150 [D loss: 0.048 acc: 0.964][G loss: 2.307 adv: 1.480 recon: 0.069 id: 0.068 time: 13:52:58.427303\n",
"Epoch 112/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.859 adv: 2.008 recon: 0.070 id: 0.073 time: 13:56:00.368907\n",
"Epoch 112/150 2000/2595 [D loss: 0.070 acc: 0.886][G loss: 2.297 adv: 1.304 recon: 0.083 id: 0.082 time: 13:59:00.476445\n",
"Epoch 112/150 [D loss: 0.047 acc: 0.967][G loss: 2.331 adv: 1.504 recon: 0.069 id: 0.068 time: 14:00:47.724408\n",
"Epoch 113/150 1000/2595 [D loss: 0.038 acc: 0.978][G loss: 3.017 adv: 2.183 recon: 0.069 id: 0.071 time: 14:03:47.526642\n",
"Epoch 113/150 2000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.528 adv: 1.561 recon: 0.081 id: 0.081 time: 14:06:47.640412\n",
"Epoch 113/150 [D loss: 0.045 acc: 0.968][G loss: 2.349 adv: 1.528 recon: 0.069 id: 0.068 time: 14:08:34.577823\n",
"Epoch 114/150 1000/2595 [D loss: 0.010 acc: 1.000][G loss: 2.563 adv: 1.785 recon: 0.065 id: 0.065 time: 14:11:35.741485\n",
"Epoch 114/150 2000/2595 [D loss: 0.038 acc: 1.000][G loss: 2.517 adv: 1.531 recon: 0.082 id: 0.084 time: 14:14:34.515705\n",
"Epoch 114/150 [D loss: 0.044 acc: 0.968][G loss: 2.343 adv: 1.521 recon: 0.069 id: 0.068 time: 14:16:21.119809\n",
"Epoch 115/150 1000/2595 [D loss: 0.011 acc: 1.000][G loss: 3.427 adv: 2.490 recon: 0.078 id: 0.078 time: 14:19:20.436836\n",
"Epoch 115/150 2000/2595 [D loss: 0.047 acc: 0.999][G loss: 2.652 adv: 1.679 recon: 0.081 id: 0.081 time: 14:22:19.606633\n",
"Epoch 115/150 [D loss: 0.046 acc: 0.968][G loss: 2.332 adv: 1.511 recon: 0.069 id: 0.068 time: 14:24:06.193996\n",
"Epoch 116/150 1000/2595 [D loss: 0.019 acc: 0.999][G loss: 2.913 adv: 2.102 recon: 0.067 id: 0.069 time: 14:27:05.448502\n",
"Epoch 116/150 2000/2595 [D loss: 0.021 acc: 0.998][G loss: 2.443 adv: 1.459 recon: 0.082 id: 0.080 time: 14:30:04.400091\n",
"Epoch 116/150 [D loss: 0.043 acc: 0.971][G loss: 2.362 adv: 1.542 recon: 0.069 id: 0.067 time: 14:31:51.205155\n",
"Epoch 117/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.515 adv: 1.730 recon: 0.065 id: 0.066 time: 14:34:51.080407\n",
"Epoch 117/150 2000/2595 [D loss: 0.010 acc: 1.000][G loss: 2.839 adv: 1.858 recon: 0.082 id: 0.081 time: 14:37:51.127148\n",
"Epoch 117/150 [D loss: 0.040 acc: 0.975][G loss: 2.369 adv: 1.547 recon: 0.069 id: 0.068 time: 14:39:39.554119\n",
"Epoch 118/150 1000/2595 [D loss: 0.034 acc: 1.000][G loss: 2.925 adv: 2.119 recon: 0.067 id: 0.068 time: 14:42:40.923369\n",
"Epoch 118/150 2000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.883 adv: 1.890 recon: 0.083 id: 0.082 time: 14:45:41.664838\n",
"Epoch 118/150 [D loss: 0.040 acc: 0.975][G loss: 2.358 adv: 1.539 recon: 0.068 id: 0.068 time: 14:47:29.310989\n",
"Epoch 119/150 1000/2595 [D loss: 0.011 acc: 1.000][G loss: 2.601 adv: 1.817 recon: 0.065 id: 0.067 time: 14:50:32.682504\n",
"Epoch 119/150 2000/2595 [D loss: 0.069 acc: 0.897][G loss: 2.309 adv: 1.319 recon: 0.082 id: 0.084 time: 14:53:37.790991\n",
"Epoch 119/150 [D loss: 0.041 acc: 0.973][G loss: 2.351 adv: 1.532 recon: 0.068 id: 0.068 time: 14:55:28.440301\n",
"Epoch 120/150 1000/2595 [D loss: 0.032 acc: 1.000][G loss: 2.225 adv: 1.429 recon: 0.066 id: 0.066 time: 14:58:29.951191\n",
"Epoch 120/150 2000/2595 [D loss: 0.037 acc: 0.995][G loss: 2.543 adv: 1.568 recon: 0.081 id: 0.080 time: 15:01:31.273915\n",
"Epoch 120/150 [D loss: 0.043 acc: 0.972][G loss: 2.354 adv: 1.538 recon: 0.068 id: 0.067 time: 15:03:18.562778\n",
"Epoch 121/150 1000/2595 [D loss: 0.025 acc: 1.000][G loss: 2.612 adv: 1.800 recon: 0.067 id: 0.070 time: 15:06:19.171855\n",
"Epoch 121/150 2000/2595 [D loss: 0.054 acc: 0.976][G loss: 2.573 adv: 1.618 recon: 0.079 id: 0.080 time: 15:09:20.241432\n",
"Epoch 121/150 [D loss: 0.043 acc: 0.970][G loss: 2.359 adv: 1.542 recon: 0.068 id: 0.067 time: 15:11:08.241102\n",
"Epoch 122/150 1000/2595 [D loss: 0.030 acc: 0.999][G loss: 2.982 adv: 2.160 recon: 0.068 id: 0.070 time: 15:14:09.545466\n",
"Epoch 122/150 2000/2595 [D loss: 0.104 acc: 0.957][G loss: 2.128 adv: 1.162 recon: 0.080 id: 0.081 time: 15:17:11.231897\n",
"Epoch 122/150 [D loss: 0.041 acc: 0.971][G loss: 2.389 adv: 1.576 recon: 0.068 id: 0.067 time: 15:18:58.961838\n",
"Epoch 123/150 1000/2595 [D loss: 0.027 acc: 1.000][G loss: 2.495 adv: 1.707 recon: 0.066 id: 0.066 time: 15:21:59.860038\n",
"Epoch 123/150 2000/2595 [D loss: 0.217 acc: 0.637][G loss: 1.853 adv: 0.869 recon: 0.082 id: 0.081 time: 15:25:00.473281\n",
"Epoch 123/150 [D loss: 0.042 acc: 0.970][G loss: 2.357 adv: 1.547 recon: 0.068 id: 0.067 time: 15:26:48.295832\n",
"Epoch 124/150 1000/2595 [D loss: 0.032 acc: 1.000][G loss: 3.210 adv: 2.384 recon: 0.069 id: 0.069 time: 15:29:49.002634\n",
"Epoch 124/150 2000/2595 [D loss: 0.190 acc: 0.733][G loss: 1.935 adv: 0.963 recon: 0.081 id: 0.081 time: 15:32:51.379679\n",
"Epoch 124/150 [D loss: 0.040 acc: 0.972][G loss: 2.393 adv: 1.584 recon: 0.067 id: 0.067 time: 15:34:38.033566\n",
"Epoch 125/150 1000/2595 [D loss: 0.039 acc: 1.000][G loss: 2.569 adv: 1.793 recon: 0.065 id: 0.065 time: 15:37:38.615272\n",
"Epoch 125/150 2000/2595 [D loss: 0.094 acc: 0.849][G loss: 2.787 adv: 1.802 recon: 0.083 id: 0.080 time: 15:40:39.174788\n",
"Epoch 125/150 [D loss: 0.041 acc: 0.970][G loss: 2.381 adv: 1.571 recon: 0.068 id: 0.067 time: 15:42:26.872832\n",
"Epoch 126/150 1000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.779 adv: 1.984 recon: 0.066 id: 0.066 time: 15:45:26.553145\n",
"Epoch 126/150 2000/2595 [D loss: 0.030 acc: 1.000][G loss: 3.305 adv: 2.346 recon: 0.080 id: 0.080 time: 15:48:28.641213\n",
"Epoch 126/150 [D loss: 0.041 acc: 0.973][G loss: 2.359 adv: 1.547 recon: 0.068 id: 0.067 time: 15:50:16.627698\n",
"Epoch 127/150 1000/2595 [D loss: 0.015 acc: 1.000][G loss: 2.565 adv: 1.785 recon: 0.065 id: 0.065 time: 15:53:20.586049\n",
"Epoch 127/150 2000/2595 [D loss: 0.013 acc: 1.000][G loss: 3.089 adv: 2.079 recon: 0.084 id: 0.084 time: 15:56:23.904216\n",
"Epoch 127/150 [D loss: 0.045 acc: 0.968][G loss: 2.318 adv: 1.511 recon: 0.067 id: 0.067 time: 15:58:13.006682\n",
"Epoch 128/150 1000/2595 [D loss: 0.007 acc: 1.000][G loss: 2.395 adv: 1.598 recon: 0.067 id: 0.066 time: 16:01:17.524226\n",
"Epoch 128/150 2000/2595 [D loss: 0.052 acc: 0.986][G loss: 2.731 adv: 1.760 recon: 0.081 id: 0.082 time: 16:04:21.721351\n",
"Epoch 128/150 [D loss: 0.047 acc: 0.965][G loss: 2.326 adv: 1.519 recon: 0.067 id: 0.067 time: 16:06:10.366813\n",
"Epoch 129/150 1000/2595 [D loss: 0.026 acc: 1.000][G loss: 2.273 adv: 1.511 recon: 0.063 id: 0.065 time: 16:09:13.706731\n",
"Epoch 129/150 2000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.625 adv: 1.652 recon: 0.081 id: 0.081 time: 16:12:17.968288\n",
"Epoch 129/150 [D loss: 0.044 acc: 0.970][G loss: 2.350 adv: 1.541 recon: 0.068 id: 0.067 time: 16:14:07.880939\n",
"Epoch 130/150 1000/2595 [D loss: 0.009 acc: 1.000][G loss: 2.738 adv: 1.948 recon: 0.066 id: 0.067 time: 16:17:10.919384\n",
"Epoch 130/150 2000/2595 [D loss: 0.011 acc: 1.000][G loss: 2.471 adv: 1.497 recon: 0.081 id: 0.081 time: 16:20:16.030657\n",
"Epoch 130/150 [D loss: 0.041 acc: 0.974][G loss: 2.376 adv: 1.568 recon: 0.067 id: 0.067 time: 16:22:05.978040\n",
"Epoch 131/150 1000/2595 [D loss: 0.013 acc: 1.000][G loss: 2.576 adv: 1.768 recon: 0.068 id: 0.066 time: 16:25:09.239695\n",
"Epoch 131/150 2000/2595 [D loss: 0.041 acc: 0.998][G loss: 3.027 adv: 2.034 recon: 0.083 id: 0.082 time: 16:28:11.463026\n",
"Epoch 131/150 [D loss: 0.038 acc: 0.979][G loss: 2.389 adv: 1.566 recon: 0.069 id: 0.067 time: 16:30:00.223615\n",
"Epoch 132/150 1000/2595 [D loss: 0.038 acc: 0.992][G loss: 2.838 adv: 2.029 recon: 0.068 id: 0.065 time: 16:33:02.044194\n",
"Epoch 132/150 2000/2595 [D loss: 0.009 acc: 1.000][G loss: 3.082 adv: 2.091 recon: 0.083 id: 0.082 time: 16:36:03.957870\n",
"Epoch 132/150 [D loss: 0.036 acc: 0.982][G loss: 2.434 adv: 1.605 recon: 0.069 id: 0.068 time: 16:37:52.112475\n",
"Epoch 133/150 1000/2595 [D loss: 0.016 acc: 0.999][G loss: 2.351 adv: 1.534 recon: 0.069 id: 0.066 time: 16:40:53.890123\n",
"Epoch 133/150 2000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.454 adv: 1.477 recon: 0.081 id: 0.083 time: 16:43:55.673722\n",
"Epoch 133/150 [D loss: 0.041 acc: 0.976][G loss: 2.391 adv: 1.558 recon: 0.070 id: 0.068 time: 16:45:43.162424\n",
"Epoch 134/150 1000/2595 [D loss: 0.024 acc: 0.996][G loss: 2.854 adv: 2.030 recon: 0.069 id: 0.068 time: 16:48:46.809792\n",
"Epoch 134/150 2000/2595 [D loss: 0.033 acc: 0.990][G loss: 2.803 adv: 1.824 recon: 0.082 id: 0.081 time: 16:51:48.602172\n",
"Epoch 134/150 [D loss: 0.044 acc: 0.974][G loss: 2.318 adv: 1.489 recon: 0.069 id: 0.068 time: 16:53:37.494248\n",
"Epoch 135/150 1000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.116 adv: 1.296 recon: 0.068 id: 0.067 time: 16:56:41.444427\n",
"Epoch 135/150 2000/2595 [D loss: 0.029 acc: 1.000][G loss: 3.257 adv: 2.264 recon: 0.083 id: 0.084 time: 16:59:46.701686\n",
"Epoch 135/150 [D loss: 0.045 acc: 0.972][G loss: 2.286 adv: 1.464 recon: 0.069 id: 0.068 time: 17:01:35.488995\n",
"Epoch 136/150 1000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.467 adv: 1.682 recon: 0.065 id: 0.066 time: 17:04:37.950055\n",
"Epoch 136/150 2000/2595 [D loss: 0.014 acc: 1.000][G loss: 3.020 adv: 2.013 recon: 0.084 id: 0.084 time: 17:07:42.264930\n",
"Epoch 136/150 [D loss: 0.041 acc: 0.978][G loss: 2.358 adv: 1.531 recon: 0.069 id: 0.068 time: 17:09:32.899995\n",
"Epoch 137/150 1000/2595 [D loss: 0.050 acc: 0.973][G loss: 2.018 adv: 1.221 recon: 0.067 id: 0.065 time: 17:12:38.550187\n",
"Epoch 137/150 2000/2595 [D loss: 0.043 acc: 0.972][G loss: 3.112 adv: 2.118 recon: 0.083 id: 0.083 time: 17:15:45.066226\n",
"Epoch 137/150 [D loss: 0.040 acc: 0.979][G loss: 2.368 adv: 1.539 recon: 0.069 id: 0.068 time: 17:17:35.863759\n",
"Epoch 138/150 1000/2595 [D loss: 0.038 acc: 0.998][G loss: 3.065 adv: 2.233 recon: 0.070 id: 0.066 time: 17:20:42.107439\n",
"Epoch 138/150 2000/2595 [D loss: 0.022 acc: 0.997][G loss: 2.877 adv: 1.865 recon: 0.084 id: 0.084 time: 17:23:48.141206\n",
"Epoch 138/150 [D loss: 0.039 acc: 0.981][G loss: 2.399 adv: 1.567 recon: 0.070 id: 0.069 time: 17:25:39.785241\n",
"Epoch 139/150 1000/2595 [D loss: 0.023 acc: 1.000][G loss: 2.665 adv: 1.827 recon: 0.071 id: 0.066 time: 17:28:45.551898\n",
"Epoch 139/150 2000/2595 [D loss: 0.049 acc: 0.966][G loss: 2.146 adv: 1.158 recon: 0.083 id: 0.081 time: 17:31:52.579327\n",
"Epoch 139/150 [D loss: 0.038 acc: 0.983][G loss: 2.424 adv: 1.590 recon: 0.070 id: 0.069 time: 17:33:43.352833\n",
"Epoch 140/150 1000/2595 [D loss: 0.035 acc: 0.984][G loss: 2.569 adv: 1.741 recon: 0.069 id: 0.067 time: 17:36:50.064859\n",
"Epoch 140/150 2000/2595 [D loss: 0.044 acc: 0.967][G loss: 2.644 adv: 1.649 recon: 0.083 id: 0.082 time: 17:39:56.606298\n",
"Epoch 140/150 [D loss: 0.042 acc: 0.976][G loss: 2.386 adv: 1.558 recon: 0.069 id: 0.068 time: 17:41:47.840500\n",
"Epoch 141/150 1000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.923 adv: 2.121 recon: 0.067 id: 0.065 time: 17:44:53.916967\n",
"Epoch 141/150 2000/2595 [D loss: 0.044 acc: 0.988][G loss: 2.934 adv: 1.955 recon: 0.082 id: 0.081 time: 17:48:00.755993\n",
"Epoch 141/150 [D loss: 0.041 acc: 0.976][G loss: 2.409 adv: 1.587 recon: 0.069 id: 0.068 time: 17:49:53.604293\n",
"Epoch 142/150 1000/2595 [D loss: 0.029 acc: 1.000][G loss: 3.268 adv: 2.454 recon: 0.068 id: 0.066 time: 17:53:00.693807\n",
"Epoch 142/150 2000/2595 [D loss: 0.023 acc: 0.988][G loss: 2.691 adv: 1.695 recon: 0.083 id: 0.083 time: 17:56:08.851478\n",
"Epoch 142/150 [D loss: 0.041 acc: 0.976][G loss: 2.360 adv: 1.537 recon: 0.069 id: 0.068 time: 17:58:00.132056\n",
"Epoch 143/150 1000/2595 [D loss: 0.016 acc: 1.000][G loss: 1.777 adv: 0.971 recon: 0.067 id: 0.067 time: 18:01:05.699185\n",
"Epoch 143/150 2000/2595 [D loss: 0.052 acc: 0.999][G loss: 2.707 adv: 1.737 recon: 0.081 id: 0.082 time: 18:04:13.739679\n",
"Epoch 143/150 [D loss: 0.046 acc: 0.971][G loss: 2.322 adv: 1.497 recon: 0.069 id: 0.068 time: 18:06:04.363830\n",
"Epoch 144/150 1000/2595 [D loss: 0.051 acc: 0.983][G loss: 2.455 adv: 1.649 recon: 0.067 id: 0.067 time: 18:09:11.145805\n",
"Epoch 144/150 2000/2595 [D loss: 0.029 acc: 1.000][G loss: 2.682 adv: 1.709 recon: 0.081 id: 0.082 time: 18:12:16.843750\n",
"Epoch 144/150 [D loss: 0.047 acc: 0.966][G loss: 2.303 adv: 1.483 recon: 0.068 id: 0.068 time: 18:14:07.306573\n",
"Epoch 145/150 1000/2595 [D loss: 0.022 acc: 1.000][G loss: 2.318 adv: 1.479 recon: 0.070 id: 0.068 time: 18:17:13.765528\n",
"Epoch 145/150 2000/2595 [D loss: 0.028 acc: 1.000][G loss: 2.153 adv: 1.161 recon: 0.082 id: 0.083 time: 18:20:20.189642\n",
"Epoch 145/150 [D loss: 0.041 acc: 0.976][G loss: 2.376 adv: 1.549 recon: 0.069 id: 0.068 time: 18:22:09.708146\n",
"Epoch 146/150 1000/2595 [D loss: 0.023 acc: 1.000][G loss: 1.822 adv: 1.032 recon: 0.066 id: 0.065 time: 18:25:14.974180\n",
"Epoch 146/150 2000/2595 [D loss: 0.047 acc: 0.998][G loss: 3.135 adv: 2.149 recon: 0.082 id: 0.081 time: 18:28:19.758202\n",
"Epoch 146/150 [D loss: 0.042 acc: 0.972][G loss: 2.371 adv: 1.548 recon: 0.069 id: 0.068 time: 18:30:09.739241\n",
"Epoch 147/150 1000/2595 [D loss: 0.332 acc: 0.672][G loss: 2.136 adv: 1.323 recon: 0.068 id: 0.067 time: 18:33:14.771759\n",
"Epoch 147/150 2000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.929 adv: 1.949 recon: 0.082 id: 0.081 time: 18:36:18.983751\n",
"Epoch 147/150 [D loss: 0.043 acc: 0.970][G loss: 2.385 adv: 1.561 recon: 0.069 id: 0.068 time: 18:38:08.788309\n",
"Epoch 148/150 1000/2595 [D loss: 0.034 acc: 1.000][G loss: 2.292 adv: 1.511 recon: 0.065 id: 0.064 time: 18:41:14.026107\n",
"Epoch 148/150 2000/2595 [D loss: 0.010 acc: 1.000][G loss: 2.661 adv: 1.682 recon: 0.081 id: 0.082 time: 18:44:21.139943\n",
"Epoch 148/150 [D loss: 0.041 acc: 0.973][G loss: 2.390 adv: 1.570 recon: 0.068 id: 0.068 time: 18:46:12.242750\n",
"Epoch 149/150 1000/2595 [D loss: 0.017 acc: 1.000][G loss: 2.587 adv: 1.772 recon: 0.068 id: 0.067 time: 18:49:19.072639\n",
"Epoch 149/150 2000/2595 [D loss: 0.025 acc: 0.999][G loss: 2.601 adv: 1.602 recon: 0.083 id: 0.083 time: 18:52:25.563950\n",
"Epoch 149/150 [D loss: 0.041 acc: 0.973][G loss: 2.389 adv: 1.569 recon: 0.068 id: 0.068 time: 18:54:16.562985\n",
"Epoch 150/150 1000/2595 [D loss: 0.034 acc: 0.991][G loss: 2.080 adv: 1.238 recon: 0.071 id: 0.068 time: 18:57:22.047125\n",
"Epoch 150/150 2000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.719 adv: 1.761 recon: 0.080 id: 0.081 time: 19:00:27.826595\n",
"Epoch 150/150 [D loss: 0.042 acc: 0.972][G loss: 2.398 adv: 1.579 recon: 0.068 id: 0.068 time: 19:02:18.047102\n"
]
}
],
"source": [
"gan.train(\n",
" pair_flow,\n",
" epochs = MAX_EPOCHS,\n",
" batch_size=1,\n",
" run_folder = save_path,\n",
" print_step_interval = 1000,\n",
" save_epoch_interval = 50\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 7,
"status": "ok",
"timestamp": 1638261356993,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "4j8rrDL_xf9-",
"outputId": "be633ad8-390c-4fc4-bfdb-83d75dba1a05"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"combined-weights_100.h5 d_A-weights_5.h5 g_AB-weights_3.h5\n",
"combined-weights_150.h5 d_A-weights.h5 g_AB-weights_50.h5\n",
"combined-weights_1.h5\t d_B-weights_100.h5 g_AB-weights_5.h5\n",
"combined-weights_3.h5\t d_B-weights_150.h5 g_AB-weights.h5\n",
"combined-weights_50.h5\t d_B-weights_1.h5 g_BA-weights_100.h5\n",
"combined-weights_5.h5\t d_B-weights_3.h5 g_BA-weights_150.h5\n",
"combined-weights.h5\t d_B-weights_50.h5 g_BA-weights_1.h5\n",
"d_A-weights_100.h5\t d_B-weights_5.h5 g_BA-weights_3.h5\n",
"d_A-weights_150.h5\t d_B-weights.h5 g_BA-weights_50.h5\n",
"d_A-weights_1.h5\t g_AB-weights_100.h5 g_BA-weights_5.h5\n",
"d_A-weights_3.h5\t g_AB-weights_150.h5 g_BA-weights.h5\n",
"d_A-weights_50.h5\t g_AB-weights_1.h5\n"
]
}
],
"source": [
"! ls {save_path}/weights"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "I6IXp8m-zLQp"
},
"source": [
"# Generate Images\n",
"\n",
"## 画像を生成する"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"executionInfo": {
"elapsed": 4,
"status": "ok",
"timestamp": 1638261356993,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "qUGe88EogYHU"
},
"outputs": [],
"source": [
"# Display images\n",
"# 画像を表示する。\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"def showImages(imgs, rows=-1, cols=-1, w=2, h=2):\n",
" N = len(imgs)\n",
" if rows < 0: rows = 1\n",
" if cols < 0: cols = (N + rows -1) // rows\n",
" fig, ax = plt.subplots(rows, cols, figsize=(w*cols, h*rows))\n",
" idx = 0\n",
" for row in range(rows):\n",
" for col in range(cols) :\n",
" if rows == 1 and cols == 1:\n",
" axis = ax\n",
" elif rows == 1:\n",
" axis = ax[col]\n",
" elif cols == 1:\n",
" axis = ax[row]\n",
" else:\n",
" axis = ax[row][col]\n",
"\n",
" if idx < N:\n",
" axis.imshow(imgs[idx])\n",
" axis.axis('off')\n",
" idx += 1\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 952
},
"executionInfo": {
"elapsed": 3988,
"status": "ok",
"timestamp": 1638261360977,
"user": {
"displayName": "Yoshihisa Nitta",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgJLeg9AmjfexROvC3P0wzJdd5AOGY_VOu-nxnh=s64",
"userId": "15888006800030996813"
},
"user_tz": -540
},
"id": "qXak5QrkzRK_",
"outputId": "aff04629-5c60-43d8-9919-b1c6405f6e8f"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"A-->B-->A, ID\n"
]
},
{
"data": {
"image/png": 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\n",
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