stage1.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"our_data_stackgan_stage_I_imp.ipynb","version":"0.3.2","provenance":[{"file_id":"1pGm8ZpPjMx8Xa7U_vBTp7G61ziot5va8","timestamp":1557225680949},{"file_id":"110zXvqBTizRXlNZ5oxaoURG5ZKWT80zc","timestamp":1552488594196},{"file_id":"1C3u8hkaNJoMKcZTW22iFIZcDc859No-F","timestamp":1552473824309},{"file_id":"https://github.com/mrrajatgarg/StackGAN/blob/master/stackgan_stage_I_imp.ipynb","timestamp":1551691330702}],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"},"accelerator":"GPU"},"cells":[{"cell_type":"markdown","metadata":{"id":"fBRj1Lxsle4H","colab_type":"text"},"source":["# Stage I GAN"]},{"cell_type":"markdown","metadata":{"id":"psC9UHjzliA1","colab_type":"text"},"source":["# Importing Libraries"]},{"cell_type":"code","metadata":{"id":"ml58N7F-jnLh","colab_type":"code","outputId":"04652399-cf3a-4390-a90f-6e6be4b58c7c","executionInfo":{"status":"ok","timestamp":1558077615091,"user_tz":-330,"elapsed":1947,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["import os\n","import pickle\n","import random\n","import time\n","\n","import PIL\n","import numpy as np\n","import pandas as pd\n","import tensorflow as tf\n","from PIL import Image\n","from keras import Input, Model\n","from keras import backend as K\n","from keras.callbacks import TensorBoard\n","from keras.layers import Dense, LeakyReLU, BatchNormalization, ReLU, Reshape, UpSampling2D, Conv2D, Activation, \\\n","    concatenate, Flatten, Lambda, Concatenate\n","from keras.optimizers import Adam\n","from matplotlib import pyplot as plt"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Using TensorFlow backend.\n"],"name":"stderr"}]},{"cell_type":"markdown","metadata":{"id":"XZybHodapH3H","colab_type":"text"},"source":["# Loading of Dataset"]},{"cell_type":"code","metadata":{"id":"eMvLOjXalnKd","colab_type":"code","colab":{}},"source":["def load_class_ids(class_info_file_path):\n","    \"\"\"\n","    Load class ids from class_info.pickle file\n","    \"\"\"\n","    with open(class_info_file_path, 'rb') as f:\n","        class_ids = pickle.load(f, encoding='latin1')\n","        return class_ids"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"ifdCVSGco5pD","colab_type":"code","colab":{}},"source":["def load_embeddings(embeddings_file_path):\n","    \"\"\"\n","    Load embeddings\n","    \"\"\"\n","    with open(embeddings_file_path, 'rb') as f:\n","        embeddings = pickle.load(f, encoding='latin1')\n","        embeddings = np.array(embeddings)\n","        print('embeddings: ', embeddings.shape)\n","        print(embeddings[0])\n","    return embeddings"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"fkwKbQgvo7pG","colab_type":"code","colab":{}},"source":["def load_filenames(filenames_file_path):\n","    \"\"\"\n","    Load filenames.pickle file and return a list of all file names\n","    \"\"\"\n","    with open(filenames_file_path, 'rb') as f:\n","        filenames = pickle.load(f, encoding='latin1')\n","    return filenames"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"YxlUAsjuo-i5","colab_type":"code","outputId":"1e800a89-0819-4dae-a4cb-3e6537c7820f","executionInfo":{"status":"ok","timestamp":1558077615106,"user_tz":-330,"elapsed":1891,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":55}},"source":["'''\n","def load_bounding_boxes(dataset_dir):\n","    \"\"\"\n","    Load bounding boxes and return a dictionary of file names and corresponding bounding boxes\n","    \"\"\"\n","    # Paths\n","    bounding_boxes_path = os.path.join(dataset_dir, 'bounding_boxes.txt')\n","    file_paths_path = os.path.join(dataset_dir, 'images.txt')\n","\n","    # Read bounding_boxes.txt and images.txt file\n","    df_bounding_boxes = pd.read_csv(bounding_boxes_path,\n","                                    delim_whitespace=True, header=None).astype(int)\n","    df_file_names = pd.read_csv(file_paths_path, delim_whitespace=True, header=None)\n","\n","    # Create a list of file names\n","    file_names = df_file_names[1].tolist()\n","\n","    # Create a dictionary of file_names and bounding boxes\n","    filename_boundingbox_dict = {img_file[:-4]: [] for img_file in file_names[:2]}\n","\n","    # Assign a bounding box to the corresponding image\n","    for i in range(0, len(file_names)):\n","        # Get the bounding box\n","        bounding_box = df_bounding_boxes.iloc[i][1:].tolist()\n","        key = file_names[i][:-4]\n","        filename_boundingbox_dict[key] = bounding_box\n","\n","    return filename_boundingbox_dict\n","'''"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'\\ndef load_bounding_boxes(dataset_dir):\\n    \"\"\"\\n    Load bounding boxes and return a dictionary of file names and corresponding bounding boxes\\n    \"\"\"\\n    # Paths\\n    bounding_boxes_path = os.path.join(dataset_dir, \\'bounding_boxes.txt\\')\\n    file_paths_path = os.path.join(dataset_dir, \\'images.txt\\')\\n\\n    # Read bounding_boxes.txt and images.txt file\\n    df_bounding_boxes = pd.read_csv(bounding_boxes_path,\\n                                    delim_whitespace=True, header=None).astype(int)\\n    df_file_names = pd.read_csv(file_paths_path, delim_whitespace=True, header=None)\\n\\n    # Create a list of file names\\n    file_names = df_file_names[1].tolist()\\n\\n    # Create a dictionary of file_names and bounding boxes\\n    filename_boundingbox_dict = {img_file[:-4]: [] for img_file in file_names[:2]}\\n\\n    # Assign a bounding box to the corresponding image\\n    for i in range(0, len(file_names)):\\n        # Get the bounding box\\n        bounding_box = df_bounding_boxes.iloc[i][1:].tolist()\\n        key = file_names[i][:-4]\\n        filename_boundingbox_dict[key] = bounding_box\\n\\n    return filename_boundingbox_dict\\n'"]},"metadata":{"tags":[]},"execution_count":5}]},{"cell_type":"code","metadata":{"id":"NQf-MsWtpAyk","colab_type":"code","colab":{}},"source":["def get_img(img_path, image_size):\n","    \"\"\"\n","    Load and resize image\n","    \"\"\"\n","    img = Image.open(img_path).convert('RGB')\n","    \n","    width, height = img.size\n","    #print(\"wh:\", img.size)\n","    '''\n","    if bbox is not None:\n","        R = int(np.maximum(bbox[2], bbox[3]) * 0.75)\n","        center_x = int((2 * bbox[0] + bbox[2]) / 2)\n","        center_y = int((2 * bbox[1] + bbox[3]) / 2)\n","        y1 = np.maximum(0, center_y - R)\n","        y2 = np.minimum(height, center_y + R)\n","        x1 = np.maximum(0, center_x - R)\n","        x2 = np.minimum(width, center_x + R)\n","        img = img.crop([x1, y1, x2, y2])\n","        \n","    '''   \n","    img = img.resize(image_size, PIL.Image.BILINEAR)\n","    \n","    from matplotlib.pyplot import imshow\n","    \n","    #pil_im = Image.open('data/empire.jpg', 'r')\n","    #imshow(np.asarray(img))\n","    \n","    #print(np.array(img).shape)\n","    \n","    #img.show()\n","    \n","    return img"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"gk-4oF83Su2v","colab_type":"text"},"source":[""]},{"cell_type":"code","metadata":{"id":"BEtbSBB8pCfo","colab_type":"code","colab":{}},"source":["def load_dataset(filenames_file_path, class_info_file_path, cub_dataset_dir, embeddings_file_path, image_size):\n","    \"\"\"\n","    Load dataset\n","    \"\"\"\n","    filenames = load_filenames(filenames_file_path)\n","    class_ids = load_class_ids(class_info_file_path)\n","    #bounding_boxes = load_bounding_boxes(cub_dataset_dir)\n","    all_embeddings = load_embeddings(embeddings_file_path)\n","\n","    X, y, embeddings = [], [], []\n","\n","    print(\"Embeddings shape:\", all_embeddings.shape)\n","\n","    for index, filename in enumerate(filenames):\n","        #bounding_box = bounding_boxes[filename]\n","\n","        try:\n","            # Load images\n","            img_name = '{}/{}.jpg'.format(cub_dataset_dir, filename[:-4]) \n","            img = get_img(img_name, image_size)\n","\n","            all_embeddings1 = all_embeddings[index, :, :]\n","\n","            embedding_ix = random.randint(0, all_embeddings1.shape[0] - 1)\n","            embedding = all_embeddings1[embedding_ix, :]\n","\n","            X.append(np.array(img))\n","            y.append(class_ids[index])\n","            embeddings.append(embedding)\n","        except Exception as e:\n","            print(e)\n","\n","    X = np.array(X)\n","    y = np.array(y)\n","    embeddings = np.array(embeddings)\n","    return X, y, embeddings"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"ODvYdkGtpGKJ","colab_type":"text"},"source":["# Model Creation"]},{"cell_type":"code","metadata":{"id":"__1ejH3mpFon","colab_type":"code","colab":{}},"source":["def generate_c(x):\n","    mean = x[:, :128]\n","    log_sigma = x[:, 128:]\n","    stddev = K.exp(log_sigma)\n","    epsilon = K.random_normal(shape=K.constant((mean.shape[1],), dtype='int32'))\n","    c = stddev * epsilon + mean\n","    return c"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"LYGM28snpPMb","colab_type":"code","colab":{}},"source":["def build_ca_model():\n","    \"\"\"\n","    Get conditioning augmentation model.\n","    Takes an embedding of shape (1024,) and returns a tensor of shape (256,)\n","    \"\"\"\n","    input_layer = Input(shape=(1024,))\n","    x = Dense(256)(input_layer)\n","    x = LeakyReLU(alpha=0.2)(x)\n","    model = Model(inputs=[input_layer], outputs=[x])\n","    return model"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"jY_cMcEbpRSW","colab_type":"code","colab":{}},"source":["def build_embedding_compressor_model():\n","    \"\"\"\n","    Build embedding compressor model\n","    \"\"\"\n","    input_layer = Input(shape=(1024,))\n","    x = Dense(128)(input_layer)\n","    x = ReLU()(x)\n","\n","    model = Model(inputs=[input_layer], outputs=[x])\n","    return model"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"N5BK6rWkpSyQ","colab_type":"code","colab":{}},"source":["def build_stage1_generator():\n","    \"\"\"\n","    Builds a generator model used in Stage-I\n","    \"\"\"\n","    input_layer = Input(shape=(1024,))\n","    x = Dense(256)(input_layer)\n","    mean_logsigma = LeakyReLU(alpha=0.2)(x)\n","\n","    c = Lambda(generate_c)(mean_logsigma)\n","\n","    input_layer2 = Input(shape=(100,))\n","\n","    gen_input = Concatenate(axis=1)([c, input_layer2])\n","\n","    x = Dense(128 * 8 * 4 * 4, use_bias=False)(gen_input)\n","    x = ReLU()(x)\n","\n","    x = Reshape((4, 4, 128 * 8), input_shape=(128 * 8 * 4 * 4,))(x)\n","\n","    x = UpSampling2D(size=(2, 2))(x)\n","    x = Conv2D(512, kernel_size=3, padding=\"same\", strides=1, use_bias=False)(x)\n","    x = BatchNormalization()(x)\n","    x = ReLU()(x)\n","\n","    x = UpSampling2D(size=(2, 2))(x)\n","    x = Conv2D(256, kernel_size=3, padding=\"same\", strides=1, use_bias=False)(x)\n","    x = BatchNormalization()(x)\n","    x = ReLU()(x)\n","\n","    x = UpSampling2D(size=(2, 2))(x)\n","    x = Conv2D(128, kernel_size=3, padding=\"same\", strides=1, use_bias=False)(x)\n","    x = BatchNormalization()(x)\n","    x = ReLU()(x)\n","\n","    x = UpSampling2D(size=(2, 2))(x)\n","    x = Conv2D(64, kernel_size=3, padding=\"same\", strides=1, use_bias=False)(x)\n","    x = BatchNormalization()(x)\n","    x = ReLU()(x)\n","\n","    x = Conv2D(3, kernel_size=3, padding=\"same\", strides=1, use_bias=False)(x)\n","    x = Activation(activation='tanh')(x)\n","\n","    stage1_gen = Model(inputs=[input_layer, input_layer2], outputs=[x, mean_logsigma])\n","    return stage1_gen\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"xJLclqSTpVGj","colab_type":"code","colab":{}},"source":["def build_stage1_discriminator():\n","    \"\"\"\n","    Create a model which takes two inputs\n","    1. One from above network\n","    2. One from the embedding layer\n","    3. Concatenate along the axis dimension and feed it to the last module which produces final logits\n","    \"\"\"\n","    input_layer = Input(shape=(64, 64, 3))\n","\n","    x = Conv2D(64, (4, 4),\n","               padding='same', strides=2,\n","               input_shape=(64, 64, 3), use_bias=False)(input_layer)\n","    x = LeakyReLU(alpha=0.2)(x)\n","\n","    x = Conv2D(128, (4, 4), padding='same', strides=2, use_bias=False)(x)\n","    x = BatchNormalization()(x)\n","    x = LeakyReLU(alpha=0.2)(x)\n","\n","    x = Conv2D(256, (4, 4), padding='same', strides=2, use_bias=False)(x)\n","    x = BatchNormalization()(x)\n","    x = LeakyReLU(alpha=0.2)(x)\n","\n","    x = Conv2D(512, (4, 4), padding='same', strides=2, use_bias=False)(x)\n","    x = BatchNormalization()(x)\n","    x = LeakyReLU(alpha=0.2)(x)\n","\n","    input_layer2 = Input(shape=(4, 4, 128))\n","\n","    merged_input = concatenate([x, input_layer2])\n","\n","    x2 = Conv2D(64 * 8, kernel_size=1,\n","                padding=\"same\", strides=1)(merged_input)\n","    x2 = BatchNormalization()(x2)\n","    x2 = LeakyReLU(alpha=0.2)(x2)\n","    x2 = Flatten()(x2)\n","    x2 = Dense(1)(x2)\n","    x2 = Activation('sigmoid')(x2)\n","\n","    stage1_dis = Model(inputs=[input_layer, input_layer2], outputs=[x2])\n","    return stage1_dis"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"NREfScoDpXKb","colab_type":"code","colab":{}},"source":["def build_adversarial_model(gen_model, dis_model):\n","    input_layer = Input(shape=(1024,))\n","    input_layer2 = Input(shape=(100,))\n","    input_layer3 = Input(shape=(4, 4, 128))\n","\n","    x, mean_logsigma = gen_model([input_layer, input_layer2])\n","\n","    dis_model.trainable = False\n","    valid = dis_model([x, input_layer3])\n","\n","    model = Model(inputs=[input_layer, input_layer2, input_layer3], outputs=[valid, mean_logsigma])\n","    return model"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"eNBHRmpqpZgo","colab_type":"text"},"source":["# Defining Loss"]},{"cell_type":"code","metadata":{"id":"awQ2XK6lpZDr","colab_type":"code","colab":{}},"source":["def KL_loss(y_true, y_pred):\n","    mean = y_pred[:, :128]\n","    logsigma = y_pred[:, :128]\n","    loss = -logsigma + .5 * (-1 + K.exp(2. * logsigma) + K.square(mean))\n","    loss = K.mean(loss)\n","    return loss"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"S6wkVR9lpd5q","colab_type":"code","colab":{}},"source":["\n","def custom_generator_loss(y_true, y_pred):\n","    # Calculate binary cross entropy loss\n","    return K.binary_crossentropy(y_true, y_pred)\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"1wGTNAxZpfoc","colab_type":"code","colab":{}},"source":["def save_rgb_img(img, path):\n","    \"\"\"\n","    Save an rgb image\n","    \"\"\"\n","    fig = plt.figure()\n","    ax = fig.add_subplot(1, 1, 1)\n","    ax.imshow(img)\n","    ax.axis(\"off\")\n","    ax.set_title(\"Image\")\n","\n","    plt.savefig(path)\n","    plt.close()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"vfdGkJj0phPb","colab_type":"code","colab":{}},"source":["def write_log(callback, name, loss, batch_no):\n","    \"\"\"\n","    Write training summary to TensorBoard\n","    \"\"\"\n","    summary = tf.Summary()\n","    summary_value = summary.value.add()\n","    summary_value.simple_value = loss\n","    summary_value.tag = name\n","    callback.writer.add_summary(summary, batch_no)\n","    callback.writer.flush()"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"qTgvkqyvptfn","colab_type":"text"},"source":["# Downloading of dataset in colab"]},{"cell_type":"code","metadata":{"id":"HFIC465b2w0u","colab_type":"code","colab":{}},"source":["#!wget http://www.vision.caltech.edu/visipedia-data/CUB-200-2011/CUB_200_2011.tgz"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"rdxKQ0663T_C","colab_type":"code","colab":{}},"source":["#!ls\n","#!rm -r faces_em.zip"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"VDdufhS_4gZl","colab_type":"code","outputId":"5eeece4a-af9b-4ff0-947f-196c9b1cffae","executionInfo":{"status":"ok","timestamp":1558077625180,"user_tz":-330,"elapsed":11897,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":89}},"source":["#lfw download\n","#!gdown https://drive.google.com/uc?id=1zymw8pVkxZ8mtr8A9ODgNvhP4UO7nnwj\n","# lfw-created_2 (400 images of our data)\n","!gdown https://drive.google.com/uc?id=1NB1deCJ4XZPvqhTXiRD1AG6FgKHu-h1Y"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Downloading...\n","From: https://drive.google.com/uc?id=1NB1deCJ4XZPvqhTXiRD1AG6FgKHu-h1Y\n","To: /content/lfw-created2.zip\n","\r0.00B [00:00, ?B/s]\r3.63MB [00:00, 112MB/s]\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"UGsX5YYE4qOe","colab_type":"code","outputId":"a2a8a7a0-7202-4fba-eae2-49f5bc5b7749","executionInfo":{"status":"ok","timestamp":1558077630143,"user_tz":-330,"elapsed":16801,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":89}},"source":["#birds dowload\n","#!gdown https://drive.google.com/uc?id=1yUc4rgG783dIYJS8PIiWiNNhsmAx650E\n","# faces emb\n","#!gdown https://drive.google.com/uc?id=1-RepGyGQhvcNlDpWfVoDlnLDHYMfIAdP\n","# faces emb test train\n","#!gdown https://drive.google.com/uc?id=16_NAbnGXAEEHuMTv6rwSAUnj-JlDPSMp\n","# faces emb test train norm\n","#!gdown https://drive.google.com/uc?id=1a5lgRJc7az4LEDpNJIL7uWoXfB59siC1\n","#\n","# faces_em_2 (embeddings of our data of 372)\n","!gdown https://drive.google.com/uc?id=1QrHl3tv7J89S9CyKz4m6_R8F4UXoKHh7"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Downloading...\n","From: https://drive.google.com/uc?id=1QrHl3tv7J89S9CyKz4m6_R8F4UXoKHh7\n","To: /content/faces_em_2.zip\n","15.7MB [00:00, 95.5MB/s]\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"04UjY8iZEwQU","colab_type":"code","colab":{}},"source":["#! echo '0' > epoch.txt"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"eHohaW6L2wyW","colab_type":"code","outputId":"bac8038f-8b17-403a-b3fe-97246e7d79d4","executionInfo":{"status":"ok","timestamp":1558077630153,"user_tz":-330,"elapsed":16779,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["'''import tarfile\n","tar = tarfile.open(\"CUB_200_2011.tgz\")\n","tar.extractall()\n","tar.close()'''"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'import tarfile\\ntar = tarfile.open(\"CUB_200_2011.tgz\")\\ntar.extractall()\\ntar.close()'"]},"metadata":{"tags":[]},"execution_count":23}]},{"cell_type":"code","metadata":{"id":"7n99EE20OyXs","colab_type":"code","colab":{}},"source":["'''tar2 = tarfile.open(\"birds.tar.gz\")\n","tar2.extractall()\n","tar2.close()'''\n","\n","\n","from zipfile import ZipFile\n","\n","\n","with ZipFile(\"lfw-created2.zip\", 'r') as zip2:\n","  zip2.extractall()\n","  zip2.close()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"zPlhybF2EhIZ","colab_type":"code","colab":{}},"source":["\n","with ZipFile(\"faces_em_2.zip\", 'r') as zip1:\n","  zip1.extractall()\n","  zip1.close()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"jZ6Xgi--2wvp","colab_type":"code","colab":{}},"source":["#!ls"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"0fTLsFUb4ftd","colab_type":"code","colab":{}},"source":["#cd CUB_200_2011"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"4_xbNKn-4f5r","colab_type":"code","colab":{}},"source":["#!ls"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"AdEAGWQE4gB-","colab_type":"code","colab":{}},"source":["#os.chdir(\"/content/\")"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"9BMrVDAC4gMN","colab_type":"code","colab":{}},"source":["#!ls"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"KfCrCtpfUleO","colab_type":"code","outputId":"9dccaccc-d92b-49d5-c81b-4c570abc7ac4","executionInfo":{"status":"ok","timestamp":1558077643110,"user_tz":-330,"elapsed":29700,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":89}},"source":["!ls\n","!mkdir logs\n","!mkdir results\n","!ls"],"execution_count":0,"outputs":[{"output_type":"stream","text":["epoch.txt  faces_em_2.zip  lfw-created2.zip  stage1_dis.h5\n","faces_em   lfw-created2    sample_data\t     stage1_gen.h5\n","epoch.txt  faces_em_2.zip  lfw-created2.zip  results\t  stage1_dis.h5\n","faces_em   lfw-created2    logs\t\t     sample_data  stage1_gen.h5\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"8OAVcVp8U3gF","colab_type":"code","colab":{}},"source":["#from google.colab import drive\n","#drive.mount('/content/gdrive/')"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"JWRKO6IfpkFt","colab_type":"text"},"source":["# Main File"]},{"cell_type":"code","metadata":{"id":"c-5-uAUaZXD5","colab_type":"code","outputId":"6e1ada06-7519-4638-c757-dd790a9c6601","executionInfo":{"status":"ok","timestamp":1558077643120,"user_tz":-330,"elapsed":29688,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":55}},"source":["'''  data_dir = \"/content/faces_em/\"\n","  #data_dir = \"/content/gdrive/My Drive//major/birds/\"\n","  train_dir = data_dir + \"/train\"\n","  test_dir = data_dir + \"/test\"\n","  image_size = 64\n","  batch_size = 64\n","  z_dim = 100\n","  stage1_generator_lr = 0.0002\n","  stage1_discriminator_lr = 0.0002\n","  stage1_lr_decay_step = 600\n","  epochs = 300\n","  condition_dim = 128\n","\n","  embeddings_file_path_train = train_dir + \"/embed.pickle\"\n","  embeddings_file_path_test = test_dir + \"/embed.pickle\"\n","\n","  filenames_file_path_train = train_dir + \"/filenames.pickle\"\n","  filenames_file_path_test = test_dir + \"/filenames.pickle\"\n","\n","  class_info_file_path_train = train_dir + \"/class_info.pickle\"\n","  class_info_file_path_test = test_dir + \"/class_info.pickle\"\n","\n","  cub_dataset_dir = \"/content/lfw\"\n","  #cub_dataset_dir = \"/content/gdrive/My Drive//major/CUB_200_2011\"\n","\n","  # Define optimizers\n","  dis_optimizer = Adam(lr=stage1_discriminator_lr, beta_1=0.5, beta_2=0.999)\n","  gen_optimizer = Adam(lr=stage1_generator_lr, beta_1=0.5, beta_2=0.999)\n","\n","  \"\"\"\"\n","  Load datasets\n","  \"\"\"\n","  X_train, y_train, embeddings_train = load_dataset(filenames_file_path=filenames_file_path_train,\n","                                                    class_info_file_path=class_info_file_path_train,\n","                                                    cub_dataset_dir=cub_dataset_dir,\n","                                                    embeddings_file_path=embeddings_file_path_train,\n","                                                    image_size=(64, 64))\n","\n","  X_test, y_test, embeddings_test = load_dataset(filenames_file_path=filenames_file_path_test,\n","                                                 class_info_file_path=class_info_file_path_test,\n","                                                 cub_dataset_dir=cub_dataset_dir,\n","                                                 embeddings_file_path=embeddings_file_path_test,\n","                                                 image_size=(64, 64))'''"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'  data_dir = \"/content/faces_em/\"\\n  #data_dir = \"/content/gdrive/My Drive//major/birds/\"\\n  train_dir = data_dir + \"/train\"\\n  test_dir = data_dir + \"/test\"\\n  image_size = 64\\n  batch_size = 64\\n  z_dim = 100\\n  stage1_generator_lr = 0.0002\\n  stage1_discriminator_lr = 0.0002\\n  stage1_lr_decay_step = 600\\n  epochs = 300\\n  condition_dim = 128\\n\\n  embeddings_file_path_train = train_dir + \"/embed.pickle\"\\n  embeddings_file_path_test = test_dir + \"/embed.pickle\"\\n\\n  filenames_file_path_train = train_dir + \"/filenames.pickle\"\\n  filenames_file_path_test = test_dir + \"/filenames.pickle\"\\n\\n  class_info_file_path_train = train_dir + \"/class_info.pickle\"\\n  class_info_file_path_test = test_dir + \"/class_info.pickle\"\\n\\n  cub_dataset_dir = \"/content/lfw\"\\n  #cub_dataset_dir = \"/content/gdrive/My Drive//major/CUB_200_2011\"\\n\\n  # Define optimizers\\n  dis_optimizer = Adam(lr=stage1_discriminator_lr, beta_1=0.5, beta_2=0.999)\\n  gen_optimizer = Adam(lr=stage1_generator_lr, beta_1=0.5, beta_2=0.999)\\n\\n  \"\"\"\"\\n  Load datasets\\n  \"\"\"\\n  X_train, y_train, embeddings_train = load_dataset(filenames_file_path=filenames_file_path_train,\\n                                                    class_info_file_path=class_info_file_path_train,\\n                                                    cub_dataset_dir=cub_dataset_dir,\\n                                                    embeddings_file_path=embeddings_file_path_train,\\n                                                    image_size=(64, 64))\\n\\n  X_test, y_test, embeddings_test = load_dataset(filenames_file_path=filenames_file_path_test,\\n                                                 class_info_file_path=class_info_file_path_test,\\n                                                 cub_dataset_dir=cub_dataset_dir,\\n                                                 embeddings_file_path=embeddings_file_path_test,\\n                                                 image_size=(64, 64))'"]},"metadata":{"tags":[]},"execution_count":33}]},{"cell_type":"code","metadata":{"id":"-Zg2USZvVK0y","colab_type":"code","colab":{}},"source":["# dowloading stage1_gen.h5 for epoch 448\n","#!gdown https://drive.google.com/uc?id=1zX3UCjMwaRG96nMuYwPJ3s5jaizX6XgM"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"l5HoIiVDBd4P","colab_type":"code","outputId":"7ee47804-f093-4cbd-9ea1-1faa23f7bbd6","executionInfo":{"status":"ok","timestamp":1558081212710,"user_tz":-330,"elapsed":3599256,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":148617}},"source":["\n","if __name__ == '__main__':\n","    data_dir = \"/content/faces_em\"\n","    #data_dir = \"/content/gdrive/My Drive//major/birds/\"\n","    train_dir = data_dir + \"/train\"\n","    test_dir = data_dir + \"/test\"\n","    image_size = 64\n","    batch_size = 10\n","    z_dim = 100\n","    stage1_generator_lr = 0.0002\n","    stage1_discriminator_lr = 0.0002\n","    stage1_lr_decay_step = 600\n","    epochs = 1000\n","    condition_dim = 128\n","    '''\n","\n","    embeddings_file_path_train = train_dir + \"/embed.pickle\"\n","    embeddings_file_path_test = test_dir + \"/embed.pickle\"\n","\n","    filenames_file_path_train = train_dir + \"/filenames.pickle\"\n","    filenames_file_path_test = test_dir + \"/filenames.pickle\"\n","\n","    class_info_file_path_train = train_dir + \"/class_info.pickle\"\n","    class_info_file_path_test = test_dir + \"/class_info.pickle\"\n","    '''\n","    \n","    embeddings_file_path_train = train_dir + \"/embed_train.pickle\"\n","    embeddings_file_path_test = test_dir + \"/embed_test.pickle\"\n","\n","    filenames_file_path_train = train_dir + \"/filenames_train.pickle\"\n","    filenames_file_path_test = test_dir + \"/filenames_test.pickle\"\n","\n","    class_info_file_path_train = train_dir + \"/class_info.pickle\"\n","    class_info_file_path_test = test_dir + \"/class_info.pickle\"\n","    \n","\n","    cub_dataset_dir = \"/content/lfw-created2\"\n","    #cub_dataset_dir = \"/content/gdrive/My Drive/major/CUB_200_2011\"\n","    \n","    # Define optimizers\n","    dis_optimizer = Adam(lr=stage1_discriminator_lr, beta_1=0.5, beta_2=0.999)\n","    gen_optimizer = Adam(lr=stage1_generator_lr, beta_1=0.5, beta_2=0.999)\n","\n","    \"\"\"\"\n","    Load datasets\n","    \"\"\"\n","    X_train, y_train, embeddings_train = load_dataset(filenames_file_path=filenames_file_path_train,\n","                                                      class_info_file_path=class_info_file_path_train,\n","                                                      cub_dataset_dir=cub_dataset_dir,\n","                                                      embeddings_file_path=embeddings_file_path_train,\n","                                                      image_size=(64, 64))\n","\n","    X_test, y_test, embeddings_test = load_dataset(filenames_file_path=filenames_file_path_test,\n","                                                   class_info_file_path=class_info_file_path_test,\n","                                                   cub_dataset_dir=cub_dataset_dir,\n","                                                   embeddings_file_path=embeddings_file_path_test,\n","                                                   image_size=(64, 64))\n","\n","    \"\"\"\n","    Build and compile networks\n","    \"\"\"\n","    ca_model = build_ca_model()\n","    ca_model.compile(loss=\"binary_crossentropy\", optimizer=\"adam\")\n","\n","    stage1_dis = build_stage1_discriminator()\n","    stage1_dis.compile(loss='binary_crossentropy', optimizer=dis_optimizer)\n","\n","    stage1_gen = build_stage1_generator()\n","    stage1_gen.compile(loss=\"mse\", optimizer=gen_optimizer)\n","\n","    embedding_compressor_model = build_embedding_compressor_model()\n","    embedding_compressor_model.compile(loss=\"binary_crossentropy\", optimizer=\"adam\")\n","\n","    adversarial_model = build_adversarial_model(gen_model=stage1_gen, dis_model=stage1_dis)\n","    adversarial_model.compile(loss=['binary_crossentropy', KL_loss], loss_weights=[1, 2.0],\n","                              optimizer=gen_optimizer, metrics=None)\n","\n","    tensorboard = TensorBoard(log_dir=\"logs/\".format(time.time()))\n","    tensorboard.set_model(stage1_gen)\n","    tensorboard.set_model(stage1_dis)\n","    tensorboard.set_model(ca_model)\n","    tensorboard.set_model(embedding_compressor_model)\n","\n","    # Generate an array containing real and fake values\n","    # Apply label smoothing as well\n","    real_labels = np.ones((batch_size, 1), dtype=float) * 0.9\n","    fake_labels = np.zeros((batch_size, 1), dtype=float) * 0.1\n","    \n","        \n","    # Resuming the training\n","    file1 = open(\"epoch.txt\",'r') #directory change\n","    epoch_start = 0\n","    epoch_start = int(file1.read())\n","    if(epoch_start!=0):\n","      stage1_gen.load_weights(\"stage1_gen.h5\") #directory change\n","      stage1_dis.load_weights(\"stage1_dis.h5\") #directory change\n","\n","    for epoch in range(epoch_start, epochs):\n","        print(\"========================================\")\n","        print(\"Epoch is:\", epoch)\n","        print(\"Number of batches\", int(X_train.shape[0] / batch_size))\n","\n","        gen_losses = []\n","        dis_losses = []\n","        \n","        #from google.colab import files\n","        #files.download(\"results1.zip\")\n","\n","        # Load data and train model\n","        number_of_batches = int(X_train.shape[0] / batch_size)\n","        for index in range(number_of_batches):\n","            print(\"Batch:{}\".format(index+1))\n","            \n","            \"\"\"\n","            Train the discriminator network\n","            \"\"\"\n","            # Sample a batch of data\n","            z_noise = np.random.normal(0, 1, size=(batch_size, z_dim))\n","            image_batch = X_train[index * batch_size:(index + 1) * batch_size]\n","            embedding_batch = embeddings_train[index * batch_size:(index + 1) * batch_size]\n","            image_batch = (image_batch - 127.5) / 127.5\n","\n","            # Generate fake images\n","            fake_images, _ = stage1_gen.predict([embedding_batch, z_noise], verbose=2)\n","\n","            # Generate compressed embeddings\n","            compressed_embedding = embedding_compressor_model.predict_on_batch(embedding_batch)\n","            compressed_embedding = np.reshape(compressed_embedding, (-1, 1, 1, condition_dim))\n","            compressed_embedding = np.tile(compressed_embedding, (1, 4, 4, 1))\n","\n","            dis_loss_real = stage1_dis.train_on_batch([image_batch, compressed_embedding],\n","                                                      np.reshape(real_labels, (batch_size, 1)))\n","            dis_loss_fake = stage1_dis.train_on_batch([fake_images, compressed_embedding],\n","                                                      np.reshape(fake_labels, (batch_size, 1)))\n","            dis_loss_wrong = stage1_dis.train_on_batch([image_batch[:(batch_size - 1)], compressed_embedding[1:]],\n","                                                       np.reshape(fake_labels[1:], (batch_size-1, 1)))\n","\n","            d_loss = 0.5 * np.add(dis_loss_real, 0.5 * np.add(dis_loss_wrong, dis_loss_fake))\n","\n","            print(\"d_loss_real:{}\".format(dis_loss_real))\n","            print(\"d_loss_fake:{}\".format(dis_loss_fake))\n","            print(\"d_loss_wrong:{}\".format(dis_loss_wrong))\n","            print(\"d_loss:{}\".format(d_loss))\n","\n","            \"\"\"\n","            Train the generator network \n","            \"\"\"\n","            g_loss = adversarial_model.train_on_batch([embedding_batch, z_noise, compressed_embedding],\n","                                                      [K.ones((batch_size, 1)) * 0.9, K.ones((batch_size, 256)) * 0.9])\n","            print(\"g_loss:{}\".format(g_loss))\n","\n","            dis_losses.append(d_loss)\n","            gen_losses.append(g_loss)\n","\n","        \"\"\"\n","        Save losses to Tensorboard after each epoch\n","        \"\"\"\n","        write_log(tensorboard, 'discriminator_loss', np.mean(dis_losses), epoch)\n","        write_log(tensorboard, 'generator_loss', np.mean(gen_losses[0]), epoch)\n","        \n","        # Generate and save images after every 2nd epoch\n","        if epoch % 2 == 0:\n","            # z_noise2 = np.random.uniform(-1, 1, size=(batch_size, z_dim))\n","            z_noise2 = np.random.normal(0, 1, size=(batch_size, z_dim))\n","            embedding_batch = embeddings_test[0:batch_size]\n","            fake_images, _ = stage1_gen.predict_on_batch([embedding_batch, z_noise2])\n","            \n","            # saving weights as a checkpoint\n","            stage1_gen.save_weights(\"stage1_gen.h5\") #directory change\n","            stage1_dis.save_weights(\"stage1_dis.h5\") #directory change\n","            file = open(\"epoch.txt\",'w') #directory change\n","            file.write(str(epoch))\n","\n","            # Save images\n","            for i, img in enumerate(fake_images[:10]):\n","                save_rgb_img(img, \"results/gen_{}_{}.png\".format(epoch, i))\n","            \n","            #import shutil\n","            #shutil.make_archive(\"results\", 'zip', \"results\")\n","            #shutil.make_archive(\"logs\", 'zip', \"logs\")\n","                \n","        if epoch % 4 == 0:\n","          \n","            import shutil\n","            shutil.make_archive(\"results\", 'zip', \"results\")\n","            shutil.make_archive(\"logs\", 'zip', \"logs\")\n","            \n","            from google.colab import files\n","            #files.download(\"results.zip\")\n","            #files.download(\"logs.zip\")\n","            #files.download(\"epoch.txt\")\n","            #files.download(\"stage1_dis.h5\")\n","            #files.download(\"stage1_gen.h5\")\n","            \n","\n","    # Save models\n","    stage1_gen.save_weights(\"stage1_gen.h5\")\n","    stage1_dis.save_weights(\"stage1_dis.h5\")"],"execution_count":0,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Colocations handled automatically by placer.\n","embeddings:  (300, 1, 1024)\n","[[ 0.0158      0.00724899  0.03270026 ...  0.02498868  0.01431595\n","  -0.02049159]]\n","Embeddings shape: (300, 1, 1024)\n","embeddings:  (73, 1, 1024)\n","[[ 0.01336752  0.00812143  0.03953188 ...  0.02536569  0.01195818\n","  -0.02577927]]\n","Embeddings shape: (73, 1, 1024)\n","========================================\n","Epoch is: 956\n","Number of batches 30\n","Batch:1\n","WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.cast instead.\n"],"name":"stdout"},{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/keras/engine/training.py:490: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ?\n","  'Discrepancy between trainable weights and collected trainable'\n"],"name":"stderr"},{"output_type":"stream","text":["d_loss_real:0.3300873637199402\n","d_loss_fake:8.801533840596676e-05\n","d_loss_wrong:1.8126382201444358e-05\n","d_loss:0.16507021729012195\n","g_loss:[0.38413087, 0.3468923, 0.018619288]\n","Batch:2\n","d_loss_real:0.3332447111606598\n","d_loss_fake:1.543337345123291\n","d_loss_wrong:1.6385116396122612e-05\n","d_loss:0.5524607747793198\n","g_loss:[2.9569101, 2.9209285, 0.017990883]\n","Batch:3\n","d_loss_real:0.3338935673236847\n","d_loss_fake:0.07728280872106552\n","d_loss_wrong:2.7761690944316797e-05\n","d_loss:0.18627442605793476\n","g_loss:[2.9228864, 2.8858345, 0.018525902]\n","Batch:4\n","d_loss_real:0.36444100737571716\n","d_loss_fake:0.024546418339014053\n","d_loss_wrong:4.763221568282461e-06\n","d_loss:0.18835829896852374\n","g_loss:[3.4966571, 3.4601178, 0.018269677]\n","Batch:5\n","d_loss_real:0.32768750190734863\n","d_loss_fake:0.007281053811311722\n","d_loss_wrong:5.103018793306546e-06\n","d_loss:0.16566529020201415\n","g_loss:[2.6404629, 2.6040273, 0.018217798]\n","Batch:6\n","d_loss_real:0.33474427461624146\n","d_loss_fake:0.22335195541381836\n","d_loss_wrong:7.954021384648513e-06\n","d_loss:0.2232121154665947\n","g_loss:[6.5240626, 6.4868536, 0.018604446]\n","Batch:7\n","d_loss_real:0.3459588587284088\n","d_loss_fake:0.0007129510631784797\n","d_loss_wrong:2.783682475637761e-06\n","d_loss:0.173158363046241\n","g_loss:[3.9890149, 3.952388, 0.018313428]\n","Batch:8\n","d_loss_real:0.33258122205734253\n","d_loss_fake:0.029392194002866745\n","d_loss_wrong:3.01195996144088e-05\n","d_loss:0.17364618927240372\n","g_loss:[4.5438375, 4.50797, 0.017933872]\n","Batch:9\n","d_loss_real:0.3942127227783203\n","d_loss_fake:0.08191822469234467\n","d_loss_wrong:3.86524197892868e-06\n","d_loss:0.21758688427507877\n","g_loss:[4.812057, 4.7770395, 0.017508676]\n","Batch:10\n","d_loss_real:0.33253616094589233\n","d_loss_fake:3.125709918094799e-05\n","d_loss_wrong:3.94782837247476e-05\n","d_loss:0.1662857643186726\n","g_loss:[4.9866138, 4.9516783, 0.017467797]\n","Batch:11\n","d_loss_real:0.36012130975723267\n","d_loss_fake:4.41470092482632e-07\n","d_loss_wrong:4.771959993377095e-06\n","d_loss:0.1800619582361378\n","g_loss:[4.9925284, 4.9574695, 0.017529529]\n","Batch:12\n","d_loss_real:0.3323207199573517\n","d_loss_fake:0.10930762439966202\n","d_loss_wrong:9.819481419981457e-06\n","d_loss:0.19348972104489803\n","g_loss:[4.100587, 4.064237, 0.018174922]\n","Batch:13\n","d_loss_real:0.3351232409477234\n","d_loss_fake:0.00024092635430861264\n","d_loss_wrong:4.726774932350963e-06\n","d_loss:0.16762303375435295\n","g_loss:[8.171843, 8.135037, 0.018402504]\n","Batch:14\n","d_loss_real:0.4214979112148285\n","d_loss_fake:0.02208172157406807\n","d_loss_wrong:7.673221261939034e-06\n","d_loss:0.21627130452543497\n","g_loss:[2.6337178, 2.5967708, 0.018473487]\n","Batch:15\n","d_loss_real:0.3668977618217468\n","d_loss_fake:0.009032806381583214\n","d_loss_wrong:9.790024705580436e-06\n","d_loss:0.1857095300219953\n","g_loss:[2.7408555, 2.7037482, 0.018553559]\n","Batch:16\n","d_loss_real:0.32731086015701294\n","d_loss_fake:0.09210854768753052\n","d_loss_wrong:4.24536801801878e-06\n","d_loss:0.18668362870812416\n","g_loss:[3.6502218, 3.6124947, 0.018863544]\n","Batch:17\n","d_loss_real:0.3301784098148346\n","d_loss_fake:0.014105861075222492\n","d_loss_wrong:2.7722528557205806e-06\n","d_loss:0.16861636331304908\n","g_loss:[3.2097392, 3.171784, 0.018977582]\n","Batch:18\n","d_loss_real:0.34044498205184937\n","d_loss_fake:0.0005891135660931468\n","d_loss_wrong:1.2335316569078714e-05\n","d_loss:0.17037285324477125\n","g_loss:[5.0530972, 5.014872, 0.019112661]\n","Batch:19\n","d_loss_real:0.3332763612270355\n","d_loss_fake:0.00523607712239027\n","d_loss_wrong:1.1557265679584816e-05\n","d_loss:0.16795008920598775\n","g_loss:[2.5108705, 2.4721336, 0.019368362]\n","Batch:20\n","d_loss_real:0.32692819833755493\n","d_loss_fake:0.04531513527035713\n","d_loss_wrong:8.701488695805892e-06\n","d_loss:0.17479505855590105\n","g_loss:[2.5417802, 2.502802, 0.019489223]\n","Batch:21\n","d_loss_real:0.41562619805336\n","d_loss_fake:0.04611244052648544\n","d_loss_wrong:7.145508789108135e-06\n","d_loss:0.21934299543499947\n","g_loss:[2.4565709, 2.417645, 0.019462902]\n","Batch:22\n","d_loss_real:0.34159764647483826\n","d_loss_fake:0.002840327564626932\n","d_loss_wrong:4.154374255449511e-05\n","d_loss:0.171519291063305\n","g_loss:[1.3921812, 1.3529663, 0.019607434]\n","Batch:23\n","d_loss_real:0.3342655301094055\n","d_loss_fake:0.055704571306705475\n","d_loss_wrong:5.141566361999139e-05\n","d_loss:0.18107176199555397\n","g_loss:[2.7261796, 2.6869092, 0.019635214]\n","Batch:24\n","d_loss_real:0.33022570610046387\n","d_loss_fake:0.0014858024660497904\n","d_loss_wrong:7.352134616667172e-06\n","d_loss:0.16548614169005305\n","g_loss:[1.8606359, 1.8214595, 0.019588197]\n","Batch:25\n","d_loss_real:0.326951801776886\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.880138360225828e-06\n","d_loss:0.16347739592299604\n","g_loss:[3.536536, 3.4971695, 0.0196832]\n","Batch:26\n","d_loss_real:0.32854899764060974\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.2164798135927413e-05\n","d_loss:0.16427756501980184\n","g_loss:[1.2570156, 1.2185184, 0.01924862]\n","Batch:27\n","d_loss_real:0.33464646339416504\n","d_loss_fake:0.0027186530642211437\n","d_loss_wrong:5.307193532644305e-06\n","d_loss:0.16800422174856067\n","g_loss:[0.8745128, 0.8363695, 0.019071648]\n","Batch:28\n","d_loss_real:0.3595125079154968\n","d_loss_fake:0.01341044157743454\n","d_loss_wrong:8.345501555595547e-06\n","d_loss:0.18311095074750483\n","g_loss:[0.8191696, 0.78105557, 0.019057017]\n","Batch:29\n","d_loss_real:0.35613012313842773\n","d_loss_fake:0.10204055160284042\n","d_loss_wrong:1.1914818060176913e-05\n","d_loss:0.2035781778395176\n","g_loss:[3.623316, 3.5849788, 0.019168574]\n","Batch:30\n","d_loss_real:0.33622875809669495\n","d_loss_fake:0.0009021759033203125\n","d_loss_wrong:3.0032763334020274e-06\n","d_loss:0.16834067384479567\n","g_loss:[2.9197795, 2.8808494, 0.019465143]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 957\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.34797152876853943\n","d_loss_fake:0.001617782167159021\n","d_loss_wrong:3.7796069136675214e-06\n","d_loss:0.1743911548401229\n","g_loss:[1.6585381, 1.619211, 0.019663591]\n","Batch:2\n","d_loss_real:0.3896210193634033\n","d_loss_fake:6.644965537816461e-07\n","d_loss_wrong:1.257943131349748e-05\n","d_loss:0.19481382066373953\n","g_loss:[1.0127105, 0.9732254, 0.019742524]\n","Batch:3\n","d_loss_real:0.33626610040664673\n","d_loss_fake:0.2714621424674988\n","d_loss_wrong:1.029243958328152e-05\n","d_loss:0.236001156270504\n","g_loss:[7.8480363, 7.808795, 0.019620772]\n","Batch:4\n","d_loss_real:0.5318079590797424\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.365718268672936e-05\n","d_loss:0.26591491883573326\n","g_loss:[14.545355, 14.506285, 0.019534847]\n","Batch:5\n","d_loss_real:0.3429796099662781\n","d_loss_fake:4.413188071339391e-05\n","d_loss_wrong:1.0076530998048838e-05\n","d_loss:0.17150335708629427\n","g_loss:[5.181232, 5.142288, 0.019471863]\n","Batch:6\n","d_loss_real:0.3406734764575958\n","d_loss_fake:0.002933929208666086\n","d_loss_wrong:1.0056377504952252e-05\n","d_loss:0.1710727346362546\n","g_loss:[2.0507052, 2.0093703, 0.020667389]\n","Batch:7\n","d_loss_real:0.3316443860530853\n","d_loss_fake:0.023451143875718117\n","d_loss_wrong:3.2455427572131157e-06\n","d_loss:0.17168579017743468\n","g_loss:[1.9105718, 1.8679291, 0.021321382]\n","Batch:8\n","d_loss_real:0.3326706886291504\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.263803126988932e-05\n","d_loss:0.16635352882258303\n","g_loss:[4.8217316, 4.778515, 0.021608261]\n","Batch:9\n","d_loss_real:0.3335891366004944\n","d_loss_fake:0.0003115689614787698\n","d_loss_wrong:2.7352368761057733e-06\n","d_loss:0.16687314434966538\n","g_loss:[1.2124513, 1.1698736, 0.021288859]\n","Batch:10\n","d_loss_real:0.34237417578697205\n","d_loss_fake:0.02257397212088108\n","d_loss_wrong:9.901173325488344e-05\n","d_loss:0.1768553340807557\n","g_loss:[2.0362, 1.9939625, 0.02111877]\n","Batch:11\n","d_loss_real:0.3334614634513855\n","d_loss_fake:0.012793409638106823\n","d_loss_wrong:5.953820618742611e-06\n","d_loss:0.16993057262152433\n","g_loss:[3.089422, 3.0473723, 0.021024879]\n","Batch:12\n","d_loss_real:0.3342839181423187\n","d_loss_fake:0.00023374625016003847\n","d_loss_wrong:1.167227492260281e-05\n","d_loss:0.1672033137001563\n","g_loss:[3.4358156, 3.3941128, 0.020851325]\n","Batch:13\n","d_loss_real:0.3358568549156189\n","d_loss_fake:0.0014434776967391372\n","d_loss_wrong:5.931042778684059e-06\n","d_loss:0.1682907796348445\n","g_loss:[2.5458035, 2.5037575, 0.02102304]\n","Batch:14\n","d_loss_real:0.32791081070899963\n","d_loss_fake:0.038446418941020966\n","d_loss_wrong:3.0491073630400933e-05\n","d_loss:0.17357463296502829\n","g_loss:[1.7452914, 1.7029635, 0.021163931]\n","Batch:15\n","d_loss_real:0.3552773594856262\n","d_loss_fake:0.002330296440050006\n","d_loss_wrong:5.717560270568356e-06\n","d_loss:0.17822268325835466\n","g_loss:[2.41854, 2.3759072, 0.021316463]\n","Batch:16\n","d_loss_real:0.33200520277023315\n","d_loss_fake:0.0005308890831656754\n","d_loss_wrong:4.184975750831654e-06\n","d_loss:0.16613636989495717\n","g_loss:[1.0446224, 1.0008377, 0.021892393]\n","Batch:17\n","d_loss_real:0.3457726538181305\n","d_loss_fake:0.10458920150995255\n","d_loss_wrong:2.1786586330563296e-06\n","d_loss:0.19903417117893696\n","g_loss:[4.220446, 4.175771, 0.022337437]\n","Batch:18\n","d_loss_real:0.38706618547439575\n","d_loss_fake:1.0760044233393273e-07\n","d_loss_wrong:2.9311057005543262e-05\n","d_loss:0.19354044740157406\n","g_loss:[3.432319, 3.3872745, 0.022522185]\n","Batch:19\n","d_loss_real:0.3423575460910797\n","d_loss_fake:8.062391134444624e-05\n","d_loss_wrong:5.398779194365488e-06\n","d_loss:0.17120027871897037\n","g_loss:[4.350295, 4.305045, 0.022624874]\n","Batch:20\n","d_loss_real:0.3303978741168976\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.657027941197157e-06\n","d_loss:0.16520037631539708\n","g_loss:[3.201286, 3.155611, 0.022837542]\n","Batch:21\n","d_loss_real:0.34171512722969055\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.833665687125176e-06\n","d_loss:0.17085854703123005\n","g_loss:[3.398309, 3.3527305, 0.022789273]\n","Batch:22\n","d_loss_real:0.4043731093406677\n","d_loss_fake:0.00510502839460969\n","d_loss_wrong:2.629803384479601e-05\n","d_loss:0.20346938632428646\n","g_loss:[1.5509534, 1.5059711, 0.022491133]\n","Batch:23\n","d_loss_real:0.3387971520423889\n","d_loss_fake:0.0050371186807751656\n","d_loss_wrong:2.394042348896619e-05\n","d_loss:0.17066384083591402\n","g_loss:[1.6149137, 1.5696865, 0.022613581]\n","Batch:24\n","d_loss_real:0.33047789335250854\n","d_loss_fake:0.11404242366552353\n","d_loss_wrong:3.406495125091169e-06\n","d_loss:0.19375040382146835\n","g_loss:[5.422915, 5.3775864, 0.022664415]\n","Batch:25\n","d_loss_real:0.3292904496192932\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.25742075801827e-06\n","d_loss:0.16464606416485594\n","g_loss:[5.3114634, 5.266524, 0.022469644]\n","Batch:26\n","d_loss_real:0.3305100202560425\n","d_loss_fake:3.389556150068529e-05\n","d_loss_wrong:1.1936441296711564e-05\n","d_loss:0.1652664681287206\n","g_loss:[5.356714, 5.311783, 0.022465419]\n","Batch:27\n","d_loss_real:0.3282778561115265\n","d_loss_fake:0.0003239245561417192\n","d_loss_wrong:3.683675913634943e-06\n","d_loss:0.1642208301127539\n","g_loss:[3.6715162, 3.6261635, 0.022676313]\n","Batch:28\n","d_loss_real:0.3384799659252167\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.4621067394909915e-06\n","d_loss:0.1692416234892562\n","g_loss:[3.8442748, 3.7977402, 0.023267245]\n","Batch:29\n","d_loss_real:0.33840686082839966\n","d_loss_fake:3.446313348831609e-05\n","d_loss_wrong:2.2542568331118673e-05\n","d_loss:0.1692176818396547\n","g_loss:[4.4756355, 4.4287643, 0.023435473]\n","Batch:30\n","d_loss_real:0.34079957008361816\n","d_loss_fake:0.006684421561658382\n","d_loss_wrong:3.121709596598521e-06\n","d_loss:0.1720716708805412\n","g_loss:[1.6340021, 1.5856616, 0.024170201]\n","========================================\n","Epoch is: 958\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.33815446496009827\n","d_loss_fake:0.008277475833892822\n","d_loss_wrong:3.263623284510686e-06\n","d_loss:0.1711474172770977\n","g_loss:[1.1985681, 1.1491219, 0.024723131]\n","Batch:2\n","d_loss_real:0.3383486866950989\n","d_loss_fake:0.040782295167446136\n","d_loss_wrong:5.988320936012315e-06\n","d_loss:0.17937141377478838\n","g_loss:[1.4953263, 1.4448957, 0.025215248]\n","Batch:3\n","d_loss_real:0.3399266302585602\n","d_loss_fake:0.00012157597666373476\n","d_loss_wrong:1.3098302588332444e-05\n","d_loss:0.1699969836990931\n","g_loss:[1.631114, 1.5801651, 0.025474459]\n","Batch:4\n","d_loss_real:0.3586758077144623\n","d_loss_fake:0.00251271715387702\n","d_loss_wrong:1.8839247786672786e-05\n","d_loss:0.17997079296037555\n","g_loss:[1.2486595, 1.1964056, 0.02612691]\n","Batch:5\n","d_loss_real:0.33420926332473755\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.927578629576601e-06\n","d_loss:0.16710588855698916\n","g_loss:[12.89846, 12.845502, 0.026479071]\n","Batch:6\n","d_loss_real:0.3804560601711273\n","d_loss_fake:0.04574769735336304\n","d_loss_wrong:4.617426384356804e-06\n","d_loss:0.20166610833257437\n","g_loss:[1.4876068, 1.4370143, 0.025296202]\n","Batch:7\n","d_loss_real:0.3465311527252197\n","d_loss_fake:0.0007647524471394718\n","d_loss_wrong:4.988042746845167e-06\n","d_loss:0.1734580114862183\n","g_loss:[3.3794906, 3.329928, 0.024781335]\n","Batch:8\n","d_loss_real:0.33508914709091187\n","d_loss_fake:0.0021495299879461527\n","d_loss_wrong:3.7134610465727746e-05\n","d_loss:0.16809123969869688\n","g_loss:[1.0099083, 0.96175444, 0.024076927]\n","Batch:9\n","d_loss_real:0.3382975161075592\n","d_loss_fake:0.00010136901255464181\n","d_loss_wrong:1.0475704357304494e-06\n","d_loss:0.16917436219955562\n","g_loss:[1.2838366, 1.2363298, 0.023753434]\n","Batch:10\n","d_loss_real:0.34503620862960815\n","d_loss_fake:0.0010120670776814222\n","d_loss_wrong:6.755549838999286e-05\n","d_loss:0.17278800994972698\n","g_loss:[0.9204029, 0.87332803, 0.02353742]\n","Batch:11\n","d_loss_real:0.33468443155288696\n","d_loss_fake:0.01779068633913994\n","d_loss_wrong:6.850697445770493e-06\n","d_loss:0.17179160006344318\n","g_loss:[1.0164479, 0.9686338, 0.023907086]\n","Batch:12\n","d_loss_real:0.3306809365749359\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.663549356744625e-06\n","d_loss:0.16534215917477013\n","g_loss:[1.4760369, 1.4279466, 0.024045192]\n","Batch:13\n","d_loss_real:0.33535999059677124\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.6574731439031893e-06\n","d_loss:0.16768093466669143\n","g_loss:[2.9324844, 2.8842244, 0.024129933]\n","Batch:14\n","d_loss_real:0.3319378197193146\n","d_loss_fake:0.001900427625514567\n","d_loss_wrong:7.344359619310126e-05\n","d_loss:0.16646237764507532\n","g_loss:[0.4451269, 0.39697427, 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0.024476558]\n","Batch:19\n","d_loss_real:0.32949334383010864\n","d_loss_fake:0.02864023484289646\n","d_loss_wrong:3.344813194416929e-06\n","d_loss:0.17190756695345044\n","g_loss:[0.70860964, 0.6599291, 0.024340266]\n","Batch:20\n","d_loss_real:0.32936716079711914\n","d_loss_fake:0.00013333780225366354\n","d_loss_wrong:2.2179583538672887e-06\n","d_loss:0.16471746933893883\n","g_loss:[0.95105374, 0.9025079, 0.024272915]\n","Batch:21\n","d_loss_real:0.3323584198951721\n","d_loss_fake:0.0031771641224622726\n","d_loss_wrong:1.8384002942184452e-06\n","d_loss:0.1669739605858922\n","g_loss:[0.4322146, 0.38362062, 0.02429698]\n","Batch:22\n","d_loss_real:0.33113521337509155\n","d_loss_fake:0.003612936707213521\n","d_loss_wrong:4.368873305793386e-06\n","d_loss:0.16647193307289854\n","g_loss:[0.79438716, 0.7457836, 0.024301767]\n","Batch:23\n","d_loss_real:0.3611160218715668\n","d_loss_fake:0.00031844445038586855\n","d_loss_wrong:1.0110458788403776e-05\n","d_loss:0.18064014966512332\n","g_loss:[3.1165311, 3.0677998, 0.02436564]\n","Batch:24\n","d_loss_real:0.32976657152175903\n","d_loss_fake:0.10262338072061539\n","d_loss_wrong:1.3073095033178106e-06\n","d_loss:0.19053945690393448\n","g_loss:[8.361717, 8.309816, 0.025950316]\n","Batch:25\n","d_loss_real:0.359188973903656\n","d_loss_fake:0.00015431598876602948\n","d_loss_wrong:1.8392044012216502e-06\n","d_loss:0.17963352574952296\n","g_loss:[5.445662, 5.3918085, 0.026926812]\n","Batch:26\n","d_loss_real:0.328147828578949\n","d_loss_fake:6.914418918313459e-05\n","d_loss_wrong:7.43813143344596e-06\n","d_loss:0.16409305986962863\n","g_loss:[4.025278, 3.9703438, 0.027467046]\n","Batch:27\n","d_loss_real:0.33110833168029785\n","d_loss_fake:1.81880909622123e-06\n","d_loss_wrong:2.67376867668645e-06\n","d_loss:0.16555528898459215\n","g_loss:[6.425733, 6.3707333, 0.027499903]\n","Batch:28\n","d_loss_real:0.33033961057662964\n","d_loss_fake:3.971616388298571e-05\n","d_loss_wrong:5.114063696964877e-06\n","d_loss:0.16518101284509612\n","g_loss:[2.256575, 2.2027297, 0.026922751]\n","Batch:29\n","d_loss_real:0.3350397050380707\n","d_loss_fake:0.0031758644618093967\n","d_loss_wrong:9.79164269665489e-06\n","d_loss:0.1683162665576674\n","g_loss:[2.2958841, 2.2426476, 0.026618207]\n","Batch:30\n","d_loss_real:0.336945116519928\n","d_loss_fake:0.004415959119796753\n","d_loss_wrong:2.2382562292477814e-06\n","d_loss:0.1695771076483652\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[1.2551985, 1.2025177, 0.026340365]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 959\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.338007390499115\n","d_loss_fake:0.0381179079413414\n","d_loss_wrong:5.286703412821225e-07\n","d_loss:0.17853330448269844\n","g_loss:[1.8388286, 1.786433, 0.02619778]\n","Batch:2\n","d_loss_real:0.36035701632499695\n","d_loss_fake:0.00012896419502794743\n","d_loss_wrong:1.8941276721307077e-05\n","d_loss:0.18021548453180003\n","g_loss:[0.89958197, 0.8470901, 0.026245926]\n","Batch:3\n","d_loss_real:0.33862799406051636\n","d_loss_fake:0.00598073098808527\n","d_loss_wrong:9.832147952693049e-06\n","d_loss:0.17081163777038455\n","g_loss:[1.342362, 1.2896734, 0.026344303]\n","Batch:4\n","d_loss_real:0.34800153970718384\n","d_loss_fake:0.001021803356707096\n","d_loss_wrong:1.6832651454024017e-05\n","d_loss:0.17426042884471826\n","g_loss:[0.6323625, 0.5791632, 0.026599646]\n","Batch:5\n","d_loss_real:0.3364028334617615\n","d_loss_fake:2.198682341258973e-05\n","d_loss_wrong:3.859040589304641e-06\n","d_loss:0.1682078781968812\n","g_loss:[0.7630223, 0.70950794, 0.026757166]\n","Batch:6\n","d_loss_real:0.3314313292503357\n","d_loss_fake:0.13400015234947205\n","d_loss_wrong:4.2311762626923155e-07\n","d_loss:0.19921580702066422\n","g_loss:[6.8975763, 6.8440194, 0.026778525]\n","Batch:7\n","d_loss_real:0.8947235941886902\n","d_loss_fake:3.542877675499767e-05\n","d_loss_wrong:1.2644425623875577e-05\n","d_loss:0.44737381539471244\n","g_loss:[1.3464957, 1.2922215, 0.02713709]\n","Batch:8\n","d_loss_real:0.3366757929325104\n","d_loss_fake:0.002663171384483576\n","d_loss_wrong:5.002600300940685e-05\n","d_loss:0.16901619581039995\n","g_loss:[0.86076516, 0.80604535, 0.027359894]\n","Batch:9\n","d_loss_real:0.35322532057762146\n","d_loss_fake:0.04384738206863403\n","d_loss_wrong:7.467241630365606e-06\n","d_loss:0.18757637217640877\n","g_loss:[1.155175, 1.1005045, 0.027335197]\n","Batch:10\n","d_loss_real:0.36423802375793457\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.00015716631605755538\n","d_loss:0.18215832845817204\n","g_loss:[1.2759272, 1.2213107, 0.027308214]\n","Batch:11\n","d_loss_real:0.34848552942276\n","d_loss_fake:0.04546044394373894\n","d_loss_wrong:9.039847100211773e-06\n","d_loss:0.18561013601720333\n","g_loss:[1.60746, 1.5531204, 0.027169805]\n","Batch:12\n","d_loss_real:0.3314896821975708\n","d_loss_fake:0.0002030975156230852\n","d_loss_wrong:8.718535355001222e-06\n","d_loss:0.1657977951108478\n","g_loss:[1.1554707, 1.1008646, 0.027303066]\n","Batch:13\n","d_loss_real:0.3287956714630127\n","d_loss_fake:0.00015025108586996794\n","d_loss_wrong:8.458066076855175e-06\n","d_loss:0.1644375130199478\n","g_loss:[1.1084592, 1.0538762, 0.027291507]\n","Batch:14\n","d_loss_real:0.32740190625190735\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.092126644332893e-05\n","d_loss:0.16370870844275487\n","g_loss:[1.464701, 1.4097303, 0.02748536]\n","Batch:15\n","d_loss_real:0.3295431137084961\n","d_loss_fake:0.027848314493894577\n","d_loss_wrong:6.369409220496891e-06\n","d_loss:0.17173522803932428\n","g_loss:[0.778944, 0.72421443, 0.027364802]\n","Batch:16\n","d_loss_real:0.3353397250175476\n","d_loss_fake:0.0002462203265167773\n","d_loss_wrong:2.1851524252269883e-06\n","d_loss:0.16773196387657663\n","g_loss:[2.0660138, 2.0113978, 0.027307952]\n","Batch:17\n","d_loss_real:0.3346821367740631\n","d_loss_fake:1.444028293917654e-05\n","d_loss_wrong:1.4134957382339053e-06\n","d_loss:0.1673450318317009\n","g_loss:[1.4038547, 1.3495195, 0.02716763]\n","Batch:18\n","d_loss_real:0.3712367117404938\n","d_loss_fake:0.016257653012871742\n","d_loss_wrong:4.410719338920899e-05\n","d_loss:0.18969379598274827\n","g_loss:[0.60807717, 0.55377024, 0.027153471]\n","Batch:19\n","d_loss_real:0.3377821445465088\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.364698037941707e-06\n","d_loss:0.16889268844772687\n","g_loss:[0.8090938, 0.7548014, 0.027146194]\n","Batch:20\n","d_loss_real:0.3350456655025482\n","d_loss_fake:0.0004605067952070385\n","d_loss_wrong:2.455237563481205e-06\n","d_loss:0.16763857325713616\n","g_loss:[0.5360171, 0.48164874, 0.027184194]\n","Batch:21\n","d_loss_real:0.3296920657157898\n","d_loss_fake:0.05449287220835686\n","d_loss_wrong:4.90324691782007e-06\n","d_loss:0.1784704765304923\n","g_loss:[1.4486547, 1.3942467, 0.027203958]\n","Batch:22\n","d_loss_real:0.34125369787216187\n","d_loss_fake:6.198148184921592e-05\n","d_loss_wrong:4.726735369331436e-06\n","d_loss:0.17064352599118138\n","g_loss:[2.8724935, 2.8176773, 0.027408129]\n","Batch:23\n","d_loss_real:0.33202552795410156\n","d_loss_fake:0.0002726668899413198\n","d_loss_wrong:8.891834113455843e-06\n","d_loss:0.16608315365738235\n","g_loss:[1.2678733, 1.2121824, 0.027845418]\n","Batch:24\n","d_loss_real:0.3530360460281372\n","d_loss_fake:0.0010482192737981677\n","d_loss_wrong:2.6862771846936084e-06\n","d_loss:0.17678074940340593\n","g_loss:[0.61695135, 0.5610916, 0.027929863]\n","Batch:25\n","d_loss_real:0.33019858598709106\n","d_loss_fake:0.003084019524976611\n","d_loss_wrong:1.5812563560757553e-06\n","d_loss:0.16587069316301495\n","g_loss:[1.1473756, 1.0913595, 0.028008053]\n","Batch:26\n","d_loss_real:0.32891955971717834\n","d_loss_fake:0.00019208928279113024\n","d_loss_wrong:1.4266483049141243e-05\n","d_loss:0.16451136879913975\n","g_loss:[0.6848932, 0.6285022, 0.028195512]\n","Batch:27\n","d_loss_real:0.3278229534626007\n","d_loss_fake:0.004857000894844532\n","d_loss_wrong:3.6574856494553387e-06\n","d_loss:0.16512664128094912\n","g_loss:[0.55283564, 0.4963263, 0.028254662]\n","Batch:28\n","d_loss_real:0.3296601176261902\n","d_loss_fake:0.014764636754989624\n","d_loss_wrong:4.36186792285298e-06\n","d_loss:0.16852230858057737\n","g_loss:[0.49906033, 0.44256672, 0.028246801]\n","Batch:29\n","d_loss_real:0.3359471559524536\n","d_loss_fake:0.0002070686750812456\n","d_loss_wrong:7.758812898828182e-06\n","d_loss:0.16802728484981344\n","g_loss:[2.1608253, 2.1042867, 0.028269267]\n","Batch:30\n","d_loss_real:0.33150821924209595\n","d_loss_fake:0.0003359380934853107\n","d_loss_wrong:2.173439725083881e-06\n","d_loss:0.16583863750565797\n","g_loss:[1.1254095, 1.0698239, 0.027792837]\n","========================================\n","Epoch is: 960\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.33514028787612915\n","d_loss_fake:1.8464910453985794e-06\n","d_loss_wrong:1.5789819372002967e-06\n","d_loss:0.16757100030633865\n","g_loss:[0.43208024, 0.37593144, 0.028074393]\n","Batch:2\n","d_loss_real:0.328885018825531\n","d_loss_fake:0.00317701930180192\n","d_loss_wrong:1.2111106116208248e-05\n","d_loss:0.16523979202611372\n","g_loss:[0.4364757, 0.38003415, 0.028220769]\n","Batch:3\n","d_loss_real:0.3285088539123535\n","d_loss_fake:0.002860582899302244\n","d_loss_wrong:5.354393579182215e-06\n","d_loss:0.16497091128258035\n","g_loss:[0.68163836, 0.6251193, 0.02825951]\n","Batch:4\n","d_loss_real:0.32960888743400574\n","d_loss_fake:0.02269781194627285\n","d_loss_wrong:7.733083293715026e-06\n","d_loss:0.17048083012923598\n","g_loss:[0.8007281, 0.74425256, 0.028237749]\n","Batch:5\n","d_loss_real:0.3281717598438263\n","d_loss_fake:0.00342857395298779\n","d_loss_wrong:3.7478266676771455e-06\n","d_loss:0.16494396037887782\n","g_loss:[1.1046906, 1.0481207, 0.028284926]\n","Batch:6\n","d_loss_real:0.3347241282463074\n","d_loss_fake:9.555080850986997e-07\n","d_loss_wrong:2.199933078372851e-06\n","d_loss:0.16736285298344455\n","g_loss:[0.65479434, 0.5982489, 0.028272722]\n","Batch:7\n","d_loss_real:0.34693285822868347\n","d_loss_fake:1.3454722648020834e-05\n","d_loss_wrong:3.8507268982357346e-06\n","d_loss:0.17347075547695567\n","g_loss:[0.59816337, 0.5416533, 0.028255045]\n","Batch:8\n","d_loss_real:0.3921342194080353\n","d_loss_fake:0.02206476405262947\n","d_loss_wrong:7.258766800077865e-06\n","d_loss:0.20158511539921165\n","g_loss:[0.929476, 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0.02832087]\n","Batch:13\n","d_loss_real:0.3303680121898651\n","d_loss_fake:4.81537153973477e-06\n","d_loss_wrong:6.402736289601307e-06\n","d_loss:0.1651868106218899\n","g_loss:[0.5761001, 0.5189134, 0.02859337]\n","Batch:14\n","d_loss_real:0.331988662481308\n","d_loss_fake:0.008309386670589447\n","d_loss_wrong:6.527823643409647e-06\n","d_loss:0.16807330981828272\n","g_loss:[0.6429457, 0.5854932, 0.02872625]\n","Batch:15\n","d_loss_real:0.34655749797821045\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.773463842866477e-06\n","d_loss:0.17327996735502893\n","g_loss:[0.6845429, 0.6271161, 0.02871341]\n","Batch:16\n","d_loss_real:0.3326195180416107\n","d_loss_fake:0.0005946010933257639\n","d_loss_wrong:1.0884841685765423e-06\n","d_loss:0.16645868141495157\n","g_loss:[0.53482515, 0.47746587, 0.02867965]\n","Batch:17\n","d_loss_real:0.3304307758808136\n","d_loss_fake:0.00010164106788579375\n","d_loss_wrong:1.206516685670067e-06\n","d_loss:0.16524109983583912\n","g_loss:[0.4707842, 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0.02838407]\n","Batch:22\n","d_loss_real:0.32642120122909546\n","d_loss_fake:0.005423433147370815\n","d_loss_wrong:3.559466676961165e-06\n","d_loss:0.16456734878011048\n","g_loss:[2.390955, 2.3340771, 0.02843896]\n","Batch:23\n","d_loss_real:0.330868124961853\n","d_loss_fake:0.000472180632641539\n","d_loss_wrong:6.470276730397018e-06\n","d_loss:0.1655537252081558\n","g_loss:[0.6430204, 0.587201, 0.0279097]\n","Batch:24\n","d_loss_real:0.3305625319480896\n","d_loss_fake:0.00011064878344768658\n","d_loss_wrong:1.4560783938577515e-06\n","d_loss:0.16530929218970414\n","g_loss:[0.5225797, 0.4671151, 0.027732309]\n","Batch:25\n","d_loss_real:0.3283606171607971\n","d_loss_fake:0.0006846622563898563\n","d_loss_wrong:7.949490736791631e-07\n","d_loss:0.1643516728800023\n","g_loss:[0.443638, 0.38829297, 0.027672518]\n","Batch:26\n","d_loss_real:0.3274182379245758\n","d_loss_fake:0.09703084081411362\n","d_loss_wrong:7.998664841579739e-06\n","d_loss:0.18796882964670658\n","g_loss:[6.9101753, 6.8550124, 0.02758148]\n","Batch:27\n","d_loss_real:0.3760664463043213\n","d_loss_fake:1.2253923387106624e-07\n","d_loss_wrong:2.2971387352299644e-06\n","d_loss:0.1880338280716387\n","g_loss:[4.5936184, 4.5373573, 0.02813062]\n","Batch:28\n","d_loss_real:0.32757821679115295\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.7572559702093713e-06\n","d_loss:0.16378982270958886\n","g_loss:[3.3276944, 3.2703393, 0.028677534]\n","Batch:29\n","d_loss_real:0.3490537703037262\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.1999850357824471e-05\n","d_loss:0.17452991011441554\n","g_loss:[2.0050373, 1.9468753, 0.029081017]\n","Batch:30\n","d_loss_real:0.33515414595603943\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.8314107137484825e-06\n","d_loss:0.16757755583068956\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[2.0148616, 1.9567487, 0.029056419]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 961\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3296089768409729\n","d_loss_fake:1.0192094634930982e-07\n","d_loss_wrong:1.8892179696194944e-06\n","d_loss:0.1648049862052403\n","g_loss:[0.5632354, 0.50592196, 0.028656727]\n","Batch:2\n","d_loss_real:0.3391147553920746\n","d_loss_fake:0.011465972289443016\n","d_loss_wrong:5.774981673312141e-06\n","d_loss:0.17242531455121934\n","g_loss:[0.6641022, 0.6072596, 0.028421324]\n","Batch:3\n","d_loss_real:0.34219667315483093\n","d_loss_fake:6.351856427500024e-07\n","d_loss_wrong:3.0331570997077506e-06\n","d_loss:0.17109925366310108\n","g_loss:[0.51892877, 0.46226525, 0.028331771]\n","Batch:4\n","d_loss_real:0.33323249220848083\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.155465714778984e-06\n","d_loss:0.1666175599706321\n","g_loss:[0.54476035, 0.48824635, 0.028257009]\n","Batch:5\n","d_loss_real:0.33232149481773376\n","d_loss_fake:0.015103006735444069\n","d_loss_wrong:3.059129994653631e-06\n","d_loss:0.1699372639413923\n","g_loss:[1.0240936, 0.9677515, 0.028171038]\n","Batch:6\n","d_loss_real:0.3344045579433441\n","d_loss_fake:0.010811226442456245\n","d_loss_wrong:1.2661222399401595e-06\n","d_loss:0.16990540199913085\n","g_loss:[0.981884, 0.92495805, 0.028462967]\n","Batch:7\n","d_loss_real:0.344176709651947\n","d_loss_fake:0.0002044573484454304\n","d_loss_wrong:1.9012089751413441e-06\n","d_loss:0.17213994446501601\n","g_loss:[1.703584, 1.6462107, 0.028686661]\n","Batch:8\n","d_loss_real:0.3281089961528778\n","d_loss_fake:2.5778244889806956e-06\n","d_loss_wrong:3.4481979582778877e-06\n","d_loss:0.16405600458210756\n","g_loss:[0.6899239, 0.63176125, 0.029081311]\n","Batch:9\n","d_loss_real:0.3334895074367523\n","d_loss_fake:0.005603526718914509\n","d_loss_wrong:6.201955216056376e-07\n","d_loss:0.16814579046331346\n","g_loss:[0.756856, 0.698279, 0.02928849]\n","Batch:10\n","d_loss_real:0.35789602994918823\n","d_loss_fake:0.00858768168836832\n","d_loss_wrong:2.023234628723003e-05\n","d_loss:0.18109999340958893\n","g_loss:[0.6890917, 0.63017106, 0.02946032]\n","Batch:11\n","d_loss_real:0.33490851521492004\n","d_loss_fake:0.01970117725431919\n","d_loss_wrong:5.738810955335794e-07\n","d_loss:0.1723796953447163\n","g_loss:[0.9039662, 0.8447008, 0.029632697]\n","Batch:12\n","d_loss_real:0.3301599323749542\n","d_loss_fake:0.0006173857254907489\n","d_loss_wrong:2.4927994672907516e-06\n","d_loss:0.16523493581917137\n","g_loss:[0.87084746, 0.81135213, 0.029747676]\n","Batch:13\n","d_loss_real:0.3297489285469055\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.106273758632597e-06\n","d_loss:0.1648760158418554\n","g_loss:[2.4936795, 2.4341125, 0.029783452]\n","Batch:14\n","d_loss_real:0.3329538106918335\n","d_loss_fake:3.793928408413194e-05\n","d_loss_wrong:3.780340193770826e-06\n","d_loss:0.16648733525198622\n","g_loss:[1.3064154, 1.247234, 0.029590726]\n","Batch:15\n","d_loss_real:0.3316688537597656\n","d_loss_fake:0.013792986050248146\n","d_loss_wrong:2.679260205695755e-06\n","d_loss:0.16928334324620664\n","g_loss:[1.7588605, 1.699538, 0.029661262]\n","Batch:16\n","d_loss_real:0.3376108705997467\n","d_loss_fake:0.00010241554264212027\n","d_loss_wrong:3.4909049873022013e-07\n","d_loss:0.16883112645882647\n","g_loss:[0.5094479, 0.44907823, 0.030184831]\n","Batch:17\n","d_loss_real:0.3316938281059265\n","d_loss_fake:0.0008045447175391018\n","d_loss_wrong:7.592449264848256e-07\n","d_loss:0.16604824004753027\n","g_loss:[0.61941576, 0.558607, 0.030404383]\n","Batch:18\n","d_loss_real:0.33729302883148193\n","d_loss_fake:0.019091356545686722\n","d_loss_wrong:1.690146018518135e-05\n","d_loss:0.17342357896268368\n","g_loss:[0.5585661, 0.4975347, 0.030515704]\n","Batch:19\n","d_loss_real:0.33300378918647766\n","d_loss_fake:0.019842129200696945\n","d_loss_wrong:3.8025027606636286e-06\n","d_loss:0.17146337730810046\n","g_loss:[1.6701914, 1.6090845, 0.030553441]\n","Batch:20\n","d_loss_real:0.3281779885292053\n","d_loss_fake:0.002307928167283535\n","d_loss_wrong:7.80993502758065e-07\n","d_loss:0.16466617153491825\n","g_loss:[1.2715106, 1.2102385, 0.030636081]\n","Batch:21\n","d_loss_real:0.32740524411201477\n","d_loss_fake:0.0004686055181082338\n","d_loss_wrong:1.8401719898974989e-06\n","d_loss:0.16382023347978247\n","g_loss:[1.2940922, 1.2325875, 0.030752357]\n","Batch:22\n","d_loss_real:0.3734714388847351\n","d_loss_fake:0.006710692308843136\n","d_loss_wrong:5.542011422221549e-06\n","d_loss:0.1884147779783234\n","g_loss:[0.60557806, 0.54266953, 0.03145425]\n","Batch:23\n","d_loss_real:0.3442503809928894\n","d_loss_fake:0.0011909783352166414\n","d_loss_wrong:7.438607553922338e-06\n","d_loss:0.17242479472770356\n","g_loss:[0.46287555, 0.39924955, 0.031813003]\n","Batch:24\n","d_loss_real:0.3335035443305969\n","d_loss_fake:0.004461132921278477\n","d_loss_wrong:1.5092248304426903e-06\n","d_loss:0.16786743269767612\n","g_loss:[0.52781326, 0.4639563, 0.031928487]\n","Batch:25\n","d_loss_real:0.33136457204818726\n","d_loss_fake:1.0192094634930982e-07\n","d_loss_wrong:9.096706321543024e-07\n","d_loss:0.1656825389219989\n","g_loss:[0.6770615, 0.61314225, 0.03195962]\n","Batch:26\n","d_loss_real:0.32918038964271545\n","d_loss_fake:0.00012298236833885312\n","d_loss_wrong:1.1177278793184087e-05\n","d_loss:0.16462373473405023\n","g_loss:[0.48079872, 0.41671652, 0.032041095]\n","Batch:27\n","d_loss_real:0.3298763334751129\n","d_loss_fake:0.01604216918349266\n","d_loss_wrong:2.61385412159143e-06\n","d_loss:0.16894936235621572\n","g_loss:[0.6367792, 0.57275116, 0.032014016]\n","Batch:28\n","d_loss_real:0.3278256058692932\n","d_loss_fake:5.3982257668394595e-06\n","d_loss_wrong:1.9762812826229492e-06\n","d_loss:0.16391464656135213\n","g_loss:[0.6269982, 0.5629658, 0.032016173]\n","Batch:29\n","d_loss_real:0.32933956384658813\n","d_loss_fake:0.0008929460309445858\n","d_loss_wrong:6.122937065811129e-06\n","d_loss:0.164894549161545\n","g_loss:[0.69758356, 0.63344693, 0.032068316]\n","Batch:30\n","d_loss_real:0.3266937732696533\n","d_loss_fake:0.0022972982842475176\n","d_loss_wrong:1.145954570347385e-06\n","d_loss:0.16392149770399556\n","g_loss:[0.47313827, 0.408683, 0.032227643]\n","========================================\n","Epoch is: 962\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.332258939743042\n","d_loss_fake:0.0001244891172973439\n","d_loss_wrong:1.0333174031984527e-06\n","d_loss:0.16616085048008244\n","g_loss:[0.41844922, 0.35389766, 0.03227578]\n","Batch:2\n","d_loss_real:0.33162015676498413\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.6016642803151626e-06\n","d_loss:0.16581050379855355\n","g_loss:[6.724916, 6.6603937, 0.03226122]\n","Batch:3\n","d_loss_real:0.33585765957832336\n","d_loss_fake:4.149782034801319e-05\n","d_loss_wrong:2.3644856810278725e-06\n","d_loss:0.16793979536578263\n","g_loss:[4.5911036, 4.5253043, 0.032899562]\n","Batch:4\n","d_loss_real:0.32849380373954773\n","d_loss_fake:0.0006192845175974071\n","d_loss_wrong:2.7871899419551482e-06\n","d_loss:0.164402419803082\n","g_loss:[1.9735384, 1.9078891, 0.032824613]\n","Batch:5\n","d_loss_real:0.32586807012557983\n","d_loss_fake:0.00013090428547002375\n","d_loss_wrong:2.277913154102862e-06\n","d_loss:0.16296733061244595\n","g_loss:[1.0630697, 0.99773216, 0.032668747]\n","Batch:6\n","d_loss_real:0.3309938311576843\n","d_loss_fake:0.029779788106679916\n","d_loss_wrong:1.6481086504427367e-06\n","d_loss:0.1729422747157514\n","g_loss:[1.3985701, 1.3334042, 0.03258295]\n","Batch:7\n","d_loss_real:0.33226674795150757\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.341651209775591e-07\n","d_loss:0.16613360751703965\n","g_loss:[1.2502733, 1.1846068, 0.03283328]\n","Batch:8\n","d_loss_real:0.32770317792892456\n","d_loss_fake:1.2339066870481474e-06\n","d_loss_wrong:2.6467569114174694e-06\n","d_loss:0.16385255913041874\n","g_loss:[1.1454332, 1.0800488, 0.032692175]\n","Batch:9\n","d_loss_real:0.33089742064476013\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.735925808243337e-07\n","d_loss:0.1654489037205309\n","g_loss:[1.1454504, 1.0798359, 0.03280723]\n","Batch:10\n","d_loss_real:0.32602041959762573\n","d_loss_fake:0.0007503067026846111\n","d_loss_wrong:8.93759079190204e-06\n","d_loss:0.1632000208774116\n","g_loss:[0.44085222, 0.37554616, 0.032653034]\n","Batch:11\n","d_loss_real:0.32957184314727783\n","d_loss_fake:0.012972792610526085\n","d_loss_wrong:2.1431047514397505e-07\n","d_loss:0.16802917327731848\n","g_loss:[0.6524653, 0.5873588, 0.032553263]\n","Batch:12\n","d_loss_real:0.3339526653289795\n","d_loss_fake:0.00047304556937888265\n","d_loss_wrong:1.932105988089461e-06\n","d_loss:0.1670950770858326\n","g_loss:[0.4893183, 0.42407995, 0.032619182]\n","Batch:13\n","d_loss_real:0.32807010412216187\n","d_loss_fake:1.6815356502775103e-05\n","d_loss_wrong:2.8073063731426373e-06\n","d_loss:0.1640399577267999\n","g_loss:[0.59008175, 0.5247496, 0.032666095]\n","Batch:14\n","d_loss_real:0.32827362418174744\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.391994485151372e-06\n","d_loss:0.16413743508951484\n","g_loss:[0.58746016, 0.52202237, 0.032718882]\n","Batch:15\n","d_loss_real:0.3272975981235504\n","d_loss_fake:1.8405784430797212e-05\n","d_loss_wrong:2.9386433197942097e-06\n","d_loss:0.16365413516859917\n","g_loss:[0.40962118, 0.34416136, 0.032729916]\n","Batch:16\n","d_loss_real:0.32800984382629395\n","d_loss_fake:0.001147605711594224\n","d_loss_wrong:2.608604745546472e-07\n","d_loss:0.16429188856272958\n","g_loss:[0.40410486, 0.33871204, 0.03269641]\n","Batch:17\n","d_loss_real:0.3368876874446869\n","d_loss_fake:0.001431595766916871\n","d_loss_wrong:7.774841037644364e-07\n","d_loss:0.16880193704855628\n","g_loss:[0.41268015, 0.3474081, 0.032636024]\n","Batch:18\n","d_loss_real:0.3281107544898987\n","d_loss_fake:5.272409180179238e-05\n","d_loss_wrong:1.3842898624716327e-05\n","d_loss:0.16407201899346546\n","g_loss:[0.4114034, 0.34627587, 0.032563757]\n","Batch:19\n","d_loss_real:0.32821404933929443\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.095532292718417e-06\n","d_loss:0.16410782355274023\n","g_loss:[0.39561808, 0.33064544, 0.032486316]\n","Batch:20\n","d_loss_real:0.3265339434146881\n","d_loss_fake:0.004910499323159456\n","d_loss_wrong:1.0851039178305655e-06\n","d_loss:0.16449486778583378\n","g_loss:[0.40837651, 0.34357738, 0.032399558]\n","Batch:21\n","d_loss_real:0.32804998755455017\n","d_loss_fake:0.0013573949690908194\n","d_loss_wrong:2.4792707336018793e-06\n","d_loss:0.16436496234382503\n","g_loss:[0.40456095, 0.33993, 0.032315474]\n","Batch:22\n","d_loss_real:0.3364516496658325\n","d_loss_fake:0.002094210823997855\n","d_loss_wrong:1.4399366818906856e-06\n","d_loss:0.1687497374950908\n","g_loss:[0.45176095, 0.38731343, 0.032223754]\n","Batch:23\n","d_loss_real:0.36445003747940063\n","d_loss_fake:0.0007266351021826267\n","d_loss_wrong:5.183840585232247e-06\n","d_loss:0.18240797347971238\n","g_loss:[0.408091, 0.34378958, 0.03215072]\n","Batch:24\n","d_loss_real:0.32884639501571655\n","d_loss_fake:4.214743967168033e-06\n","d_loss_wrong:1.8545459852248314e-06\n","d_loss:0.1644247148303748\n","g_loss:[0.4019718, 0.3378236, 0.032074098]\n","Batch:25\n","d_loss_real:0.32717975974082947\n","d_loss_fake:0.001355738379061222\n","d_loss_wrong:1.2904797586088534e-06\n","d_loss:0.16392913708114065\n","g_loss:[0.40344763, 0.3394674, 0.03199012]\n","Batch:26\n","d_loss_real:0.327557235956192\n","d_loss_fake:7.006284431554377e-05\n","d_loss_wrong:1.7259606465813704e-05\n","d_loss:0.1638004485903366\n","g_loss:[0.39708295, 0.33327204, 0.03190546]\n","Batch:27\n","d_loss_real:0.3266006410121918\n","d_loss_fake:0.0052374242804944515\n","d_loss_wrong:3.130428922304418e-06\n","d_loss:0.16461045923642814\n","g_loss:[0.3966502, 0.3330173, 0.031816445]\n","Batch:28\n","d_loss_real:0.3272973299026489\n","d_loss_fake:0.000789422367233783\n","d_loss_wrong:2.3235556909639854e-06\n","d_loss:0.163846601426485\n","g_loss:[0.42332247, 0.3598729, 0.031724777]\n","Batch:29\n","d_loss_real:0.3262004256248474\n","d_loss_fake:4.9801172281149775e-05\n","d_loss_wrong:1.0502891200303566e-05\n","d_loss:0.16311528882852144\n","g_loss:[0.44684833, 0.38357836, 0.031634983]\n","Batch:30\n","d_loss_real:0.3277469873428345\n","d_loss_fake:0.0009327670559287071\n","d_loss_wrong:1.523452965557226e-06\n","d_loss:0.16410706630267669\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.40618378, 0.34304693, 0.03156843]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 963\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.33062267303466797\n","d_loss_fake:0.0001341641618637368\n","d_loss_wrong:1.8611384575706325e-06\n","d_loss:0.16534534284073743\n","g_loss:[0.40555686, 0.34256148, 0.03149768]\n","Batch:2\n","d_loss_real:0.33017921447753906\n","d_loss_fake:0.0003171952848788351\n","d_loss_wrong:1.3235267033451237e-06\n","d_loss:0.1651692369414377\n","g_loss:[0.4134081, 0.3505204, 0.031443845]\n","Batch:3\n","d_loss_real:0.3304278254508972\n","d_loss_fake:1.0109033610206097e-05\n","d_loss_wrong:3.357628202138585e-06\n","d_loss:0.16521727939084485\n","g_loss:[0.56194836, 0.49913612, 0.03140611]\n","Batch:4\n","d_loss_real:0.32826536893844604\n","d_loss_fake:1.855718801380135e-05\n","d_loss_wrong:3.9358919821097516e-06\n","d_loss:0.16413830773944937\n","g_loss:[0.39054734, 0.3278582, 0.031344555]\n","Batch:5\n","d_loss_real:0.32648834586143494\n","d_loss_fake:1.1738519788195845e-05\n","d_loss_wrong:4.034808625874575e-06\n","d_loss:0.16324811626282099\n","g_loss:[0.3955595, 0.3330186, 0.03127044]\n","Batch:6\n","d_loss_real:0.32728561758995056\n","d_loss_fake:0.0007267800392583013\n","d_loss_wrong:3.031097548955586e-06\n","d_loss:0.16382526158122346\n","g_loss:[0.39942414, 0.33703858, 0.031192783]\n","Batch:7\n","d_loss_real:0.33043092489242554\n","d_loss_fake:0.00016331789083778858\n","d_loss_wrong:1.7175613038489246e-06\n","d_loss:0.16525672130956082\n","g_loss:[0.40630084, 0.34407434, 0.031113248]\n","Batch:8\n","d_loss_real:0.3284275233745575\n","d_loss_fake:0.0004134198243264109\n","d_loss_wrong:4.303348760004155e-06\n","d_loss:0.1643181924810051\n","g_loss:[0.60314286, 0.54106414, 0.031039348]\n","Batch:9\n","d_loss_real:0.3275517523288727\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.551551915530581e-06\n","d_loss:0.16377653905243506\n","g_loss:[0.4508664, 0.38863254, 0.031116936]\n","Batch:10\n","d_loss_real:0.3267374634742737\n","d_loss_fake:0.0011740432819351554\n","d_loss_wrong:8.744444130570628e-06\n","d_loss:0.16366442866274156\n","g_loss:[0.41177368, 0.34950796, 0.031132856]\n","Batch:11\n","d_loss_real:0.32633349299430847\n","d_loss_fake:0.0001710054639261216\n","d_loss_wrong:5.820620003760268e-07\n","d_loss:0.16320964337865007\n","g_loss:[0.559783, 0.4975845, 0.03109926]\n","Batch:12\n","d_loss_real:0.32789239287376404\n","d_loss_fake:0.0009016405092552304\n","d_loss_wrong:2.6870677629631246e-06\n","d_loss:0.1641722783242585\n","g_loss:[0.39980242, 0.3372879, 0.03125726]\n","Batch:13\n","d_loss_real:0.3329870402812958\n","d_loss_fake:0.0010136833880096674\n","d_loss_wrong:3.632768311945256e-06\n","d_loss:0.1667478491726797\n","g_loss:[0.4082402, 0.34563822, 0.031301]\n","Batch:14\n","d_loss_real:0.3270161747932434\n","d_loss_fake:8.244586524597253e-07\n","d_loss_wrong:2.90525804302888e-06\n","d_loss:0.163509019825824\n","g_loss:[0.39399612, 0.3314031, 0.031296514]\n","Batch:15\n","d_loss_real:0.32733410596847534\n","d_loss_fake:0.0003005514736287296\n","d_loss_wrong:4.484943019633647e-06\n","d_loss:0.16374331208498916\n","g_loss:[0.39492685, 0.33243412, 0.03124637]\n","Batch:16\n","d_loss_real:0.3273140490055084\n","d_loss_fake:0.00014967824972700328\n","d_loss_wrong:3.3466801596659934e-07\n","d_loss:0.16369452773142257\n","g_loss:[0.39148182, 0.32913178, 0.031175023]\n","Batch:17\n","d_loss_real:0.3273216784000397\n","d_loss_fake:4.3655869376379997e-05\n","d_loss_wrong:6.303699819909525e-07\n","d_loss:0.16367191076005838\n","g_loss:[0.40313712, 0.34094876, 0.031094175]\n","Batch:18\n","d_loss_real:0.3335267901420593\n","d_loss_fake:0.0001600960677023977\n","d_loss_wrong:1.2556948604469653e-05\n","d_loss:0.16680655832533375\n","g_loss:[0.39482766, 0.33278012, 0.031023774]\n","Batch:19\n","d_loss_real:0.3269897401332855\n","d_loss_fake:0.002767355879768729\n","d_loss_wrong:3.981973804911831e-06\n","d_loss:0.16418770450400189\n","g_loss:[0.3902983, 0.32839295, 0.030952672]\n","Batch:20\n","d_loss_real:0.3269651532173157\n","d_loss_fake:0.00032180966809391975\n","d_loss_wrong:1.4014960925123887e-06\n","d_loss:0.16356337939942023\n","g_loss:[0.39969742, 0.33795524, 0.030871088]\n","Batch:21\n","d_loss_real:0.32654857635498047\n","d_loss_fake:0.0006056410493329167\n","d_loss_wrong:3.896567250194494e-06\n","d_loss:0.1634266725886846\n","g_loss:[0.39788848, 0.33630383, 0.030792331]\n","Batch:22\n","d_loss_real:0.32895296812057495\n","d_loss_fake:0.0002942405117210001\n","d_loss_wrong:1.7077238680940354e-06\n","d_loss:0.16455047111958265\n","g_loss:[0.41272998, 0.35131186, 0.030709058]\n","Batch:23\n","d_loss_real:0.3407341539859772\n","d_loss_fake:9.832535579334944e-05\n","d_loss_wrong:3.1760246201884e-06\n","d_loss:0.17039245233900147\n","g_loss:[0.41420203, 0.35290143, 0.030650299]\n","Batch:24\n","d_loss_real:0.328247606754303\n","d_loss_fake:0.000135456066345796\n","d_loss_wrong:1.5044872725411551e-06\n","d_loss:0.16415804351709085\n","g_loss:[0.4709737, 0.4098063, 0.030583695]\n","Batch:25\n","d_loss_real:0.32849299907684326\n","d_loss_fake:0.0003857820702251047\n","d_loss_wrong:7.254100751197257e-07\n","d_loss:0.16434312640922144\n","g_loss:[0.40517583, 0.34416205, 0.030506888]\n","Batch:26\n","d_loss_real:0.3272036910057068\n","d_loss_fake:0.007279791869223118\n","d_loss_wrong:1.9321889340062626e-05\n","d_loss:0.16542662389110774\n","g_loss:[0.55924785, 0.4983717, 0.03043808]\n","Batch:27\n","d_loss_real:0.3260887861251831\n","d_loss_fake:0.0001518975623184815\n","d_loss_wrong:2.236355840068427e-06\n","d_loss:0.16308292654139223\n","g_loss:[0.42868844, 0.36776888, 0.030459773]\n","Batch:28\n","d_loss_real:0.3295767903327942\n","d_loss_fake:9.284268890041858e-05\n","d_loss_wrong:2.4861731162673095e-06\n","d_loss:0.16481222738184442\n","g_loss:[0.4273812, 0.36651337, 0.030433914]\n","Batch:29\n","d_loss_real:0.3261299431324005\n","d_loss_fake:0.00015933383838273585\n","d_loss_wrong:9.994906577048823e-06\n","d_loss:0.1631073037533497\n","g_loss:[0.4156684, 0.35492197, 0.030373212]\n","Batch:30\n","d_loss_real:0.3280772268772125\n","d_loss_fake:9.74034355749609e-06\n","d_loss_wrong:1.55325585637911e-06\n","d_loss:0.16404143683848815\n","g_loss:[0.39024982, 0.3295289, 0.03036046]\n","========================================\n","Epoch is: 964\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3267827033996582\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.4990242789281183e-06\n","d_loss:0.16339175145589024\n","g_loss:[0.44423562, 0.38360968, 0.030312974]\n","Batch:2\n","d_loss_real:0.32614660263061523\n","d_loss_fake:0.0006423917366191745\n","d_loss_wrong:1.0496024742678856e-06\n","d_loss:0.1632341616495978\n","g_loss:[0.39452803, 0.33399615, 0.030265948]\n","Batch:3\n","d_loss_real:0.3265252113342285\n","d_loss_fake:3.991293488070369e-05\n","d_loss_wrong:2.959805442515062e-06\n","d_loss:0.16327332385208138\n","g_loss:[0.49263015, 0.43222338, 0.03020339]\n","Batch:4\n","d_loss_real:0.3294698894023895\n","d_loss_fake:0.0006235761684365571\n","d_loss_wrong:4.288217496650759e-06\n","d_loss:0.1648919107974507\n","g_loss:[0.38725266, 0.3267838, 0.03023442]\n","Batch:5\n","d_loss_real:0.3255402147769928\n","d_loss_fake:4.4387274101609364e-05\n","d_loss_wrong:3.605775418691337e-06\n","d_loss:0.16278210565087647\n","g_loss:[0.38683003, 0.3264176, 0.030206213]\n","Batch:6\n","d_loss_real:0.32714787125587463\n","d_loss_fake:0.0040340423583984375\n","d_loss_wrong:2.4672003746673e-06\n","d_loss:0.16458306298591197\n","g_loss:[0.40221825, 0.34192404, 0.0301471]\n","Batch:7\n","d_loss_real:0.3295373320579529\n","d_loss_fake:1.0379219020251185e-05\n","d_loss_wrong:1.7037556290233624e-06\n","d_loss:0.16477168677261034\n","g_loss:[0.42282528, 0.36266872, 0.030078283]\n","Batch:8\n","d_loss_real:0.32822108268737793\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.190580057183979e-06\n","d_loss:0.16411161398866625\n","g_loss:[0.5762678, 0.51618224, 0.030042756]\n","Batch:9\n","d_loss_real:0.3264099061489105\n","d_loss_fake:0.00011965986050199717\n","d_loss_wrong:1.924767275340855e-06\n","d_loss:0.1632353492313996\n","g_loss:[0.40054345, 0.34048373, 0.030029858]\n","Batch:10\n","d_loss_real:0.32580211758613586\n","d_loss_fake:1.1878340046678204e-05\n","d_loss_wrong:8.18101761979051e-06\n","d_loss:0.16290607363225718\n","g_loss:[0.41411135, 0.35416332, 0.02997401]\n","Batch:11\n","d_loss_real:0.3261348307132721\n","d_loss_fake:0.00015980303578544408\n","d_loss_wrong:5.188827572055743e-07\n","d_loss:0.16310749583499273\n","g_loss:[0.47035223, 0.41051236, 0.029919943]\n","Batch:12\n","d_loss_real:0.3257976472377777\n","d_loss_fake:0.00018827426538337022\n","d_loss_wrong:2.908032911363989e-06\n","d_loss:0.16294661919528153\n","g_loss:[0.46713823, 0.40740523, 0.029866505]\n","Batch:13\n","d_loss_real:0.32640498876571655\n","d_loss_fake:0.000858649960719049\n","d_loss_wrong:3.4652896374609554e-06\n","d_loss:0.16341802319220733\n","g_loss:[0.38793558, 0.3282016, 0.029866999]\n","Batch:14\n","d_loss_real:0.3261302709579468\n","d_loss_fake:0.0011103865690529346\n","d_loss_wrong:2.5277597615058767e-06\n","d_loss:0.16334336405270733\n","g_loss:[0.4060978, 0.34645686, 0.029820478]\n","Batch:15\n","d_loss_real:0.32619982957839966\n","d_loss_fake:0.00011325218656565994\n","d_loss_wrong:3.940957412851276e-06\n","d_loss:0.16312921307508077\n","g_loss:[0.40226334, 0.34270144, 0.029780954]\n","Batch:16\n","d_loss_real:0.32572436332702637\n","d_loss_fake:1.0401927283965051e-05\n","d_loss_wrong:3.346679875448899e-07\n","d_loss:0.1628648658122529\n","g_loss:[0.44796425, 0.38852558, 0.029719332]\n","Batch:17\n","d_loss_real:0.3260660767555237\n","d_loss_fake:0.0016713615041226149\n","d_loss_wrong:6.285489462243277e-07\n","d_loss:0.16345103588537313\n","g_loss:[0.42562, 0.36612353, 0.029748235]\n","Batch:18\n","d_loss_real:0.3261459469795227\n","d_loss_fake:0.0013146791607141495\n","d_loss_wrong:8.079633516899776e-06\n","d_loss:0.1634036632021889\n","g_loss:[0.3973121, 0.3378655, 0.029723302]\n","Batch:19\n","d_loss_real:0.32993054389953613\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.567464318621205e-06\n","d_loss:0.16496618881586755\n","g_loss:[0.42681244, 0.3674621, 0.029675165]\n","Batch:20\n","d_loss_real:0.3260563910007477\n","d_loss_fake:0.006227969657629728\n","d_loss_wrong:1.0119424587173853e-06\n","d_loss:0.1645854408852756\n","g_loss:[0.41034135, 0.35114497, 0.029598186]\n","Batch:21\n","d_loss_real:0.32622233033180237\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.5123879368038615e-06\n","d_loss:0.16311181826290522\n","g_loss:[1.9870394, 1.9279798, 0.02952983]\n","Batch:22\n","d_loss_real:0.3302425742149353\n","d_loss_fake:0.0002489312901161611\n","d_loss_wrong:1.4023645462657441e-06\n","d_loss:0.16518387052201433\n","g_loss:[1.4238614, 1.3658645, 0.028998425]\n","Batch:23\n","d_loss_real:0.337393194437027\n","d_loss_fake:3.742888293345459e-05\n","d_loss_wrong:2.371309165027924e-06\n","d_loss:0.16870654726699286\n","g_loss:[1.5527533, 1.4952291, 0.028762106]\n","Batch:24\n","d_loss_real:0.3270756006240845\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.2786726983904373e-06\n","d_loss:0.16353814498020824\n","g_loss:[0.57920414, 0.5201028, 0.029550677]\n","Batch:25\n","d_loss_real:0.32587724924087524\n","d_loss_fake:0.00010088932322105393\n","d_loss_wrong:5.20104777024244e-07\n","d_loss:0.16296397697806242\n","g_loss:[0.51535857, 0.45553797, 0.029910287]\n","Batch:26\n","d_loss_real:0.3255777359008789\n","d_loss_fake:0.0002332865697098896\n","d_loss_wrong:1.7332242350676097e-05\n","d_loss:0.16285152265481884\n","g_loss:[0.41125992, 0.351178, 0.03004097]\n","Batch:27\n","d_loss_real:0.32688504457473755\n","d_loss_fake:0.0030904661398380995\n","d_loss_wrong:1.6171276229215437e-06\n","d_loss:0.164215543132741\n","g_loss:[0.4549505, 0.3948195, 0.030065501]\n","Batch:28\n","d_loss_real:0.3254091739654541\n","d_loss_fake:0.00042503775330260396\n","d_loss_wrong:1.8055782220471883e-06\n","d_loss:0.16281129781418713\n","g_loss:[0.39584523, 0.33576843, 0.030038405]\n","Batch:29\n","d_loss_real:0.32906535267829895\n","d_loss_fake:1.133280329668196e-05\n","d_loss_wrong:8.493438144796528e-06\n","d_loss:0.16453763289973722\n","g_loss:[0.39292523, 0.33295938, 0.029982928]\n","Batch:30\n","d_loss_real:0.3295627236366272\n","d_loss_fake:0.00012842465366702527\n","d_loss_wrong:1.6691528799128719e-06\n","d_loss:0.16481388526881346\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.38758957, 0.32777005, 0.029909754]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 965\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32635068893432617\n","d_loss_fake:0.00011940485273953527\n","d_loss_wrong:1.451361754334357e-06\n","d_loss:0.16320555852144025\n","g_loss:[0.3856765, 0.3260257, 0.02982541]\n","Batch:2\n","d_loss_real:0.326120525598526\n","d_loss_fake:0.0013025866355746984\n","d_loss_wrong:9.011348538479069e-07\n","d_loss:0.16338613475090824\n","g_loss:[0.39548117, 0.33601046, 0.029735353]\n","Batch:3\n","d_loss_real:0.32643938064575195\n","d_loss_fake:3.649593418231234e-05\n","d_loss_wrong:2.9319189707166515e-06\n","d_loss:0.1632295472863916\n","g_loss:[0.38671768, 0.32737118, 0.029673252]\n","Batch:4\n","d_loss_real:0.32868045568466187\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.762726237255265e-06\n","d_loss:0.16434119352391008\n","g_loss:[0.41867572, 0.3594827, 0.029596511]\n","Batch:5\n","d_loss_real:0.32598748803138733\n","d_loss_fake:0.0016300277784466743\n","d_loss_wrong:3.2325697247870266e-06\n","d_loss:0.16340205911546946\n","g_loss:[0.3904942, 0.33143735, 0.029528424]\n","Batch:6\n","d_loss_real:0.32646989822387695\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.375658823439153e-06\n","d_loss:0.16323556802666417\n","g_loss:[0.4572707, 0.39837927, 0.029445728]\n","Batch:7\n","d_loss_real:0.3280128836631775\n","d_loss_fake:0.003712297882884741\n","d_loss_wrong:1.3874494015908567e-06\n","d_loss:0.1649348631617613\n","g_loss:[0.40123722, 0.3427096, 0.02926381]\n","Batch:8\n","d_loss_real:0.3272801637649536\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.7402963900822215e-06\n","d_loss:0.16364129195653732\n","g_loss:[0.53526604, 0.4769802, 0.029142905]\n","Batch:9\n","d_loss_real:0.32651033997535706\n","d_loss_fake:0.00022194992925506085\n","d_loss_wrong:1.5230463077386958e-06\n","d_loss:0.16331103823176818\n","g_loss:[0.43743396, 0.3792162, 0.029108876]\n","Batch:10\n","d_loss_real:0.3257657289505005\n","d_loss_fake:0.0003155043814331293\n","d_loss_wrong:8.275512300315313e-06\n","d_loss:0.16296380944550037\n","g_loss:[0.40123153, 0.34312013, 0.0290557]\n","Batch:11\n","d_loss_real:0.3254799544811249\n","d_loss_fake:0.0005899068200960755\n","d_loss_wrong:4.095549286375899e-07\n","d_loss:0.162887556332862\n","g_loss:[0.4173024, 0.35933977, 0.028981317]\n","Batch:12\n","d_loss_real:0.325771301984787\n","d_loss_fake:0.002123516984283924\n","d_loss_wrong:2.5374304186698282e-06\n","d_loss:0.1634171645855531\n","g_loss:[0.48369083, 0.4258719, 0.028909465]\n","Batch:13\n","d_loss_real:0.3255189061164856\n","d_loss_fake:1.763536261023546e-06\n","d_loss_wrong:3.3997612263192423e-06\n","d_loss:0.1627607438825862\n","g_loss:[0.42673865, 0.36909762, 0.028820515]\n","Batch:14\n","d_loss_real:0.32560399174690247\n","d_loss_fake:2.9443399398587644e-05\n","d_loss_wrong:1.9283984329376835e-06\n","d_loss:0.16280983882279543\n","g_loss:[0.40435803, 0.34681588, 0.028771067]\n","Batch:15\n","d_loss_real:0.3257860541343689\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.1762299386173254e-06\n","d_loss:0.16289384612468893\n","g_loss:[0.60876715, 0.5513478, 0.028709676]\n","Batch:16\n","d_loss_real:0.3259347081184387\n","d_loss_fake:0.0026158220134675503\n","d_loss_wrong:2.7175195782547235e-07\n","d_loss:0.16362137749092653\n","g_loss:[0.41946363, 0.36229408, 0.028584773]\n","Batch:17\n","d_loss_real:0.32653898000717163\n","d_loss_fake:0.0020304869394749403\n","d_loss_wrong:5.006197056900419e-07\n","d_loss:0.16377723688492551\n","g_loss:[0.41641858, 0.3593604, 0.028529087]\n","Batch:18\n","d_loss_real:0.3261670470237732\n","d_loss_fake:2.098989142496066e-07\n","d_loss_wrong:7.058535175019642e-06\n","d_loss:0.1630853406204551\n","g_loss:[0.3900209, 0.33310005, 0.028460432]\n","Batch:19\n","d_loss_real:0.32592687010765076\n","d_loss_fake:0.00023144946317188442\n","d_loss_wrong:3.0802864330325974e-06\n","d_loss:0.16302206749242032\n","g_loss:[0.38611048, 0.32936513, 0.028372679]\n","Batch:20\n","d_loss_real:0.32555001974105835\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.0521390549911303e-06\n","d_loss:0.16277529790528433\n","g_loss:[0.39378628, 0.33722144, 0.028282424]\n","Batch:21\n","d_loss_real:0.3254285752773285\n","d_loss_fake:0.0003892111999448389\n","d_loss_wrong:2.204426891694311e-06\n","d_loss:0.16281214154878398\n","g_loss:[0.4172656, 0.36087468, 0.02819546]\n","Batch:22\n","d_loss_real:0.32648998498916626\n","d_loss_fake:0.002668212866410613\n","d_loss_wrong:8.792008543423435e-07\n","d_loss:0.1639122655033134\n","g_loss:[0.39827484, 0.34202462, 0.028125113]\n","Batch:23\n","d_loss_real:0.3288765251636505\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.2480867301055696e-06\n","d_loss:0.16443884960352761\n","g_loss:[0.49915686, 0.44304085, 0.028058007]\n","Batch:24\n","d_loss_real:0.3267330229282379\n","d_loss_fake:0.00014194368850439787\n","d_loss_wrong:1.2046292567902128e-06\n","d_loss:0.1634022985417687\n","g_loss:[0.39129314, 0.33534312, 0.027975004]\n","Batch:25\n","d_loss_real:0.3254939913749695\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.333504304871894e-07\n","d_loss:0.16274715402509798\n","g_loss:[0.49119, 0.43537647, 0.027906757]\n","Batch:26\n","d_loss_real:0.32554909586906433\n","d_loss_fake:0.0001241114950971678\n","d_loss_wrong:1.51273607116309e-05\n","d_loss:0.1628093576473475\n","g_loss:[0.38549432, 0.32991326, 0.027790535]\n","Batch:27\n","d_loss_real:0.3256739377975464\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.3898192037231638e-06\n","d_loss:0.16283734135356553\n","g_loss:[0.46328264, 0.40788507, 0.027698789]\n","Batch:28\n","d_loss_real:0.3254898190498352\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.3545333078800468e-06\n","d_loss:0.1627455231582644\n","g_loss:[0.44452363, 0.3892085, 0.027657574]\n","Batch:29\n","d_loss_real:0.3264664113521576\n","d_loss_fake:0.005438878666609526\n","d_loss_wrong:7.649545295862481e-06\n","d_loss:0.16459483769722283\n","g_loss:[0.38570735, 0.33030343, 0.027701963]\n","Batch:30\n","d_loss_real:0.3285991847515106\n","d_loss_fake:2.3116995180316735e-06\n","d_loss_wrong:1.0366791229898809e-06\n","d_loss:0.16430042947041557\n","g_loss:[0.41885632, 0.36348552, 0.027685398]\n","========================================\n","Epoch is: 966\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.33026349544525146\n","d_loss_fake:0.00042472704080864787\n","d_loss_wrong:1.2598679859365802e-06\n","d_loss:0.16523824445175705\n","g_loss:[0.40026075, 0.34495506, 0.027652849]\n","Batch:2\n","d_loss_real:0.328095018863678\n","d_loss_fake:3.4561948268674314e-05\n","d_loss_wrong:8.421104098488286e-07\n","d_loss:0.16405636044692073\n","g_loss:[0.39071235, 0.3355047, 0.027603824]\n","Batch:3\n","d_loss_real:0.32740330696105957\n","d_loss_fake:6.29666174063459e-05\n","d_loss_wrong:2.864815542125143e-06\n","d_loss:0.16371811133831216\n","g_loss:[0.38193858, 0.32685676, 0.027540913]\n","Batch:4\n","d_loss_real:0.3290818929672241\n","d_loss_fake:0.0011830291477963328\n","d_loss_wrong:2.6681275357987033e-06\n","d_loss:0.16483737080125138\n","g_loss:[0.38657793, 0.33164936, 0.02746429]\n","Batch:5\n","d_loss_real:0.32592684030532837\n","d_loss_fake:0.0005340998759493232\n","d_loss_wrong:2.8211638891662005e-06\n","d_loss:0.1630976504093269\n","g_loss:[0.40853888, 0.35376352, 0.027387673]\n","Batch:6\n","d_loss_real:0.32564765214920044\n","d_loss_fake:0.0019976026378571987\n","d_loss_wrong:1.8181677887696424e-06\n","d_loss:0.1633236812776886\n","g_loss:[0.49071184, 0.4360581, 0.02732687]\n","Batch:7\n","d_loss_real:0.3274039328098297\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.1052129593736026e-06\n","d_loss:0.1637022677081461\n","g_loss:[0.6703005, 0.61573875, 0.027280862]\n","Batch:8\n","d_loss_real:0.32586008310317993\n","d_loss_fake:5.8990708566852845e-06\n","d_loss_wrong:4.590303888107883e-06\n","d_loss:0.16293266389538985\n","g_loss:[0.4182923, 0.36341825, 0.027437035]\n","Batch:9\n","d_loss_real:0.3273283839225769\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.3160171192794223e-06\n","d_loss:0.16366454596555968\n","g_loss:[0.4238602, 0.36891824, 0.02747098]\n","Batch:10\n","d_loss_real:0.3255283832550049\n","d_loss_fake:0.003467780305072665\n","d_loss_wrong:7.983196155691985e-06\n","d_loss:0.163633132528048\n","g_loss:[0.5091537, 0.4541667, 0.027493518]\n","Batch:11\n","d_loss_real:0.32544419169425964\n","d_loss_fake:0.0005849880981259048\n","d_loss_wrong:3.2164214758267917e-07\n","d_loss:0.16286842328554485\n","g_loss:[0.43565434, 0.38064626, 0.027504036]\n","Batch:12\n","d_loss_real:0.32538414001464844\n","d_loss_fake:4.781854386237683e-06\n","d_loss_wrong:1.9042842041017138e-06\n","d_loss:0.16269374154194338\n","g_loss:[0.42018998, 0.36520368, 0.027493153]\n","Batch:13\n","d_loss_real:0.32534486055374146\n","d_loss_fake:0.00030590605456382036\n","d_loss_wrong:2.8903648399136728e-06\n","d_loss:0.16274962938041426\n","g_loss:[0.48126045, 0.42633238, 0.027464027]\n","Batch:14\n","d_loss_real:0.32552775740623474\n","d_loss_fake:8.624021575087681e-05\n","d_loss_wrong:1.6502414155183942e-06\n","d_loss:0.16278585131658474\n","g_loss:[0.4081592, 0.35316655, 0.027496329]\n","Batch:15\n","d_loss_real:0.32575085759162903\n","d_loss_fake:0.0010021235793828964\n","d_loss_wrong:2.7557844077819027e-06\n","d_loss:0.1631266486365348\n","g_loss:[0.4055164, 0.350563, 0.027476698]\n","Batch:16\n","d_loss_real:0.32591646909713745\n","d_loss_fake:1.0490118995676312e-07\n","d_loss_wrong:2.651292163591279e-07\n","d_loss:0.16295832705617386\n","g_loss:[0.402802, 0.34787378, 0.02746411]\n","Batch:17\n","d_loss_real:0.32559674978256226\n","d_loss_fake:5.7864159316523e-05\n","d_loss_wrong:3.9157117726063007e-07\n","d_loss:0.162812938823663\n","g_loss:[0.40680912, 0.35198206, 0.027413536]\n","Batch:18\n","d_loss_real:0.32564106583595276\n","d_loss_fake:2.9671378797502257e-05\n","d_loss_wrong:6.147064596007112e-06\n","d_loss:0.16282948752905213\n","g_loss:[0.43381777, 0.37902942, 0.02739418]\n","Batch:19\n","d_loss_real:0.32549652457237244\n","d_loss_fake:0.0007297649281099439\n","d_loss_wrong:2.6865443487622542e-06\n","d_loss:0.16293137514730915\n","g_loss:[0.3827433, 0.32791728, 0.027413005]\n","Batch:20\n","d_loss_real:0.3254671096801758\n","d_loss_fake:7.877016287238803e-06\n","d_loss_wrong:1.0046420584330917e-06\n","d_loss:0.16273577525475957\n","g_loss:[0.38070685, 0.32594913, 0.027378857]\n","Batch:21\n","d_loss_real:0.3255389332771301\n","d_loss_fake:0.0002036411315202713\n","d_loss_wrong:1.9804288058367092e-06\n","d_loss:0.1628208720285329\n","g_loss:[0.4578294, 0.40318984, 0.02731977]\n","Batch:22\n","d_loss_real:0.3262074291706085\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.1985180208284874e-06\n","d_loss:0.16310403921480088\n","g_loss:[0.3929145, 0.33818477, 0.027364865]\n","Batch:23\n","d_loss_real:0.32821306586265564\n","d_loss_fake:0.00010125494009116665\n","d_loss_wrong:1.760644522619259e-06\n","d_loss:0.16413228682722547\n","g_loss:[0.38144064, 0.32673034, 0.027355153]\n","Batch:24\n","d_loss_real:0.32552751898765564\n","d_loss_fake:3.277116320532514e-07\n","d_loss_wrong:1.2533635072031757e-06\n","d_loss:0.16276415476261263\n","g_loss:[0.38111943, 0.32650688, 0.027306268]\n","Batch:25\n","d_loss_real:0.3251836895942688\n","d_loss_fake:0.0009019772405736148\n","d_loss_wrong:4.2620936824278033e-07\n","d_loss:0.1628174456564011\n","g_loss:[0.38783535, 0.33336115, 0.027237108]\n","Batch:26\n","d_loss_real:0.32538479566574097\n","d_loss_fake:0.00022617532522417605\n","d_loss_wrong:1.3908535947848577e-05\n","d_loss:0.16275241879702662\n","g_loss:[0.380719, 0.32638115, 0.027168924]\n","Batch:27\n","d_loss_real:0.3259483873844147\n","d_loss_fake:0.00021198221656959504\n","d_loss_wrong:9.229149782186141e-07\n","d_loss:0.16302741997424164\n","g_loss:[0.38128024, 0.32709533, 0.027092451]\n","Batch:28\n","d_loss_real:0.32721734046936035\n","d_loss_fake:7.217437087092549e-05\n","d_loss_wrong:2.5059894142032135e-06\n","d_loss:0.16362734032554727\n","g_loss:[0.38656077, 0.33253288, 0.027013943]\n","Batch:29\n","d_loss_real:0.3259674906730652\n","d_loss_fake:0.0001273199450224638\n","d_loss_wrong:8.251977305917535e-06\n","d_loss:0.1630176383187063\n","g_loss:[0.37969008, 0.32579798, 0.026946047]\n","Batch:30\n","d_loss_real:0.32653239369392395\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.1293981287963106e-06\n","d_loss:0.16326650419648558\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[3.1282136, 3.074477, 0.02686831]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 967\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.327335387468338\n","d_loss_fake:1.0585512427496724e-05\n","d_loss_wrong:1.0218454917776398e-06\n","d_loss:0.16367059557364882\n","g_loss:[2.669435, 2.615154, 0.027140504]\n","Batch:2\n","d_loss_real:0.3296726644039154\n","d_loss_fake:0.0002872749464586377\n","d_loss_wrong:8.32636999348324e-07\n","d_loss:0.16490835909644375\n","g_loss:[1.3244148, 1.2690833, 0.027665779]\n","Batch:3\n","d_loss_real:0.326720654964447\n","d_loss_fake:0.0006632458535023034\n","d_loss_wrong:3.048530061278143e-06\n","d_loss:0.16352690107305534\n","g_loss:[0.8669867, 0.8103641, 0.028311277]\n","Batch:4\n","d_loss_real:0.32847610116004944\n","d_loss_fake:0.0011356555623933673\n","d_loss_wrong:2.7097901238448685e-06\n","d_loss:0.1645226419204846\n","g_loss:[0.4324378, 0.37591308, 0.028262362]\n","Batch:5\n","d_loss_real:0.32612472772598267\n","d_loss_fake:0.0035342401824891567\n","d_loss_wrong:3.008689191119629e-06\n","d_loss:0.16394667606800795\n","g_loss:[0.5774146, 0.52099514, 0.02820971]\n","Batch:6\n","d_loss_real:0.3255085051059723\n","d_loss_fake:0.0006793990614823997\n","d_loss_wrong:1.792854391169385e-06\n","d_loss:0.1629245505318977\n","g_loss:[0.38969454, 0.3333791, 0.028157726]\n","Batch:7\n","d_loss_real:0.32720136642456055\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.737860071050818e-07\n","d_loss:0.16360092665877346\n","g_loss:[7.7498946, 7.6937284, 0.028083006]\n","Batch:8\n","d_loss_real:0.3254203498363495\n","d_loss_fake:0.050511617213487625\n","d_loss_wrong:3.159607786074048e-06\n","d_loss:0.17533886898308992\n","g_loss:[14.256916, 14.199542, 0.028687064]\n","Batch:9\n","d_loss_real:0.3537949323654175\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.793426577023638e-06\n","d_loss:0.1768979395393444\n","g_loss:[13.215536, 13.157564, 0.028985968]\n","Batch:10\n","d_loss_real:0.3369204103946686\n","d_loss_fake:1.0366761671321001e-05\n","d_loss_wrong:3.120880137430504e-05\n","d_loss:0.16847059908832307\n","g_loss:[10.688819, 10.630316, 0.029251432]\n","Batch:11\n","d_loss_real:0.3293987810611725\n","d_loss_fake:7.196252408903092e-05\n","d_loss_wrong:5.65506979910424e-07\n","d_loss:0.1647175225389219\n","g_loss:[10.403085, 10.344466, 0.02930912]\n","Batch:12\n","d_loss_real:0.32757458090782166\n","d_loss_fake:1.0053825462819077e-05\n","d_loss_wrong:1.6318946336468798e-06\n","d_loss:0.16379021188390652\n","g_loss:[7.9157653, 7.857512, 0.029126745]\n","Batch:13\n","d_loss_real:0.3274315893650055\n","d_loss_fake:0.0010765534825623035\n","d_loss_wrong:1.9547142073861323e-06\n","d_loss:0.16398542173556052\n","g_loss:[3.6876278, 3.629703, 0.028962323]\n","Batch:14\n","d_loss_real:0.33212167024612427\n","d_loss_fake:0.0003495689306873828\n","d_loss_wrong:2.054996002698317e-06\n","d_loss:0.16614874110382516\n","g_loss:[2.6950376, 2.6372406, 0.028898511]\n","Batch:15\n","d_loss_real:0.32890093326568604\n","d_loss_fake:0.0023009611759334803\n","d_loss_wrong:2.1013734112784732e-06\n","d_loss:0.16502623225096613\n","g_loss:[2.1424916, 2.0842428, 0.029124409]\n","Batch:16\n","d_loss_real:0.3261208236217499\n","d_loss_fake:0.0003736074431799352\n","d_loss_wrong:2.8521705530693e-07\n","d_loss:0.16315388497605454\n","g_loss:[1.6386204, 1.5802889, 0.029165734]\n","Batch:17\n","d_loss_real:0.3322261571884155\n","d_loss_fake:0.004301230888813734\n","d_loss_wrong:5.622912908620492e-07\n","d_loss:0.16718852694611996\n","g_loss:[1.0347794, 0.975818, 0.029480722]\n","Batch:18\n","d_loss_real:0.32960596680641174\n","d_loss_fake:0.01817452162504196\n","d_loss_wrong:9.998643690778408e-06\n","d_loss:0.16934911347925663\n","g_loss:[4.2750087, 4.215691, 0.029658899]\n","Batch:19\n","d_loss_real:0.3405023217201233\n","d_loss_fake:0.0027489732019603252\n","d_loss_wrong:3.1098879844648764e-06\n","d_loss:0.17093918164027855\n","g_loss:[3.4377046, 3.3783364, 0.029684072]\n","Batch:20\n","d_loss_real:0.3301464021205902\n","d_loss_fake:0.004071071743965149\n","d_loss_wrong:1.060429667631979e-06\n","d_loss:0.1660912340739742\n","g_loss:[2.334714, 2.2753644, 0.029674733]\n","Batch:21\n","d_loss_real:0.3276026248931885\n","d_loss_fake:0.003687911434099078\n","d_loss_wrong:2.6637569590093335e-06\n","d_loss:0.16472395625896752\n","g_loss:[3.022653, 2.9626937, 0.02997968]\n","Batch:22\n","d_loss_real:0.32990336418151855\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.5343759969255188e-06\n","d_loss:0.16495209068474992\n","g_loss:[4.8159614, 4.7554793, 0.030240914]\n","Batch:23\n","d_loss_real:0.32858389616012573\n","d_loss_fake:0.00036081441794522107\n","d_loss_wrong:5.006148057873361e-06\n","d_loss:0.1643834032220184\n","g_loss:[3.206322, 3.146225, 0.030048529]\n","Batch:24\n","d_loss_real:0.3262816369533539\n","d_loss_fake:0.0021248520351946354\n","d_loss_wrong:6.842108746241138e-07\n","d_loss:0.16367220255779102\n","g_loss:[1.7959161, 1.735363, 0.030276543]\n","Batch:25\n","d_loss_real:0.33670100569725037\n","d_loss_fake:0.04571690782904625\n","d_loss_wrong:1.1751420458949724e-07\n","d_loss:0.17977975960820913\n","g_loss:[6.6832895, 6.622342, 0.030473744]\n","Batch:26\n","d_loss_real:0.3346724808216095\n","d_loss_fake:3.4405973565299064e-05\n","d_loss_wrong:1.6925980617088499e-06\n","d_loss:0.16734526505388203\n","g_loss:[4.311822, 4.2497225, 0.031049615]\n","Batch:27\n","d_loss_real:0.4315992295742035\n","d_loss_fake:1.3262862921692431e-05\n","d_loss_wrong:7.555260708613787e-06\n","d_loss:0.21580481931778195\n","g_loss:[1.4527131, 1.3902977, 0.031207759]\n","Batch:28\n","d_loss_real:0.361393541097641\n","d_loss_fake:0.057943981140851974\n","d_loss_wrong:8.746588719077408e-06\n","d_loss:0.1951849525794387\n","g_loss:[4.2015233, 4.1387105, 0.031406496]\n","Batch:29\n","d_loss_real:0.34893330931663513\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.1590949725359678e-05\n","d_loss:0.1744695773957119\n","g_loss:[5.152851, 5.0903244, 0.031263243]\n","Batch:30\n","d_loss_real:0.3344285488128662\n","d_loss_fake:2.81552843262034e-07\n","d_loss_wrong:1.5184150470304303e-05\n","d_loss:0.1672181408321194\n","g_loss:[3.3269227, 3.262984, 0.031969275]\n","========================================\n","Epoch is: 968\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.33276814222335815\n","d_loss_fake:4.2930438212351874e-05\n","d_loss_wrong:3.444876028879662e-06\n","d_loss:0.16639566493995517\n","g_loss:[1.4963918, 1.4319894, 0.03220115]\n","Batch:2\n","d_loss_real:0.3396061360836029\n","d_loss_fake:0.0005571520887315273\n","d_loss_wrong:7.577133601444075e-06\n","d_loss:0.16994425034499727\n","g_loss:[1.0266794, 0.9628509, 0.03191422]\n","Batch:3\n","d_loss_real:0.3362162113189697\n","d_loss_fake:6.411598587874323e-05\n","d_loss_wrong:5.487547241500579e-06\n","d_loss:0.16812550654321967\n","g_loss:[0.72830385, 0.66500074, 0.03165155]\n","Batch:4\n","d_loss_real:0.3456513583660126\n","d_loss_fake:1.549935041111894e-05\n","d_loss_wrong:4.632212039723527e-06\n","d_loss:0.17283071207384637\n","g_loss:[0.6011321, 0.5382183, 0.031456895]\n","Batch:5\n","d_loss_real:0.33410578966140747\n","d_loss_fake:6.916186248417944e-05\n","d_loss_wrong:1.0182752703258302e-06\n","d_loss:0.1670704398657108\n","g_loss:[0.5200437, 0.45741254, 0.031315576]\n","Batch:6\n","d_loss_real:0.33436140418052673\n","d_loss_fake:0.001931510167196393\n","d_loss_wrong:2.4918324925238267e-05\n","d_loss:0.1676698091905564\n","g_loss:[0.4530447, 0.39069185, 0.031176433]\n","Batch:7\n","d_loss_real:0.33116036653518677\n","d_loss_fake:1.5615298252669163e-05\n","d_loss_wrong:7.865163524911623e-07\n","d_loss:0.1655842837212731\n","g_loss:[0.47713503, 0.4150787, 0.03102817]\n","Batch:8\n","d_loss_real:0.33167845010757446\n","d_loss_fake:0.00011233059922233224\n","d_loss_wrong:5.818064437335124e-06\n","d_loss:0.16586876222027058\n","g_loss:[0.47080687, 0.40895548, 0.030925691]\n","Batch:9\n","d_loss_real:0.3417307436466217\n","d_loss_fake:6.842888637947908e-07\n","d_loss_wrong:1.8191718709203997e-06\n","d_loss:0.17086599768850874\n","g_loss:[1.2082912, 1.1466537, 0.030818779]\n","Batch:10\n","d_loss_real:0.3289060592651367\n","d_loss_fake:0.00017960091645363718\n","d_loss_wrong:1.933282874233555e-05\n","d_loss:0.1645027630693221\n","g_loss:[1.3575581, 1.2958567, 0.030850714]\n","Batch:11\n","d_loss_real:0.32902058959007263\n","d_loss_fake:0.06740696728229523\n","d_loss_wrong:1.1945134019697434e-06\n","d_loss:0.181362334638834\n","g_loss:[5.643564, 5.5822744, 0.030645013]\n","Batch:12\n","d_loss_real:0.3316369950771332\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.5743685253255535e-06\n","d_loss:0.16581891613068933\n","g_loss:[2.258324, 2.1986911, 0.02981639]\n","Batch:13\n","d_loss_real:0.33415502309799194\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.919905000453582e-06\n","d_loss:0.16707826652526592\n","g_loss:[2.8728747, 2.8139598, 0.029457394]\n","Batch:14\n","d_loss_real:0.3362201154232025\n","d_loss_fake:1.1086162743367822e-07\n","d_loss_wrong:4.23647770730895e-06\n","d_loss:0.1681111445464012\n","g_loss:[0.98116535, 0.9229296, 0.029117879]\n","Batch:15\n","d_loss_real:0.34531256556510925\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.5527231122832745e-06\n","d_loss:0.17265744596329569\n","g_loss:[1.4387293, 1.3804543, 0.029137503]\n","Batch:16\n","d_loss_real:0.33363550901412964\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.1568466788958176e-06\n","d_loss:0.16681806871872595\n","g_loss:[0.5256511, 0.46681753, 0.0294168]\n","Batch:17\n","d_loss_real:0.336351603269577\n","d_loss_fake:9.79701667347399e-07\n","d_loss_wrong:6.275427040236536e-07\n","d_loss:0.16817620344588136\n","g_loss:[0.56272, 0.5036918, 0.029514093]\n","Batch:18\n","d_loss_real:0.32958120107650757\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.202331057167612e-06\n","d_loss:0.16479292612098106\n","g_loss:[0.5162555, 0.4572858, 0.029484862]\n","Batch:19\n","d_loss_real:0.33350181579589844\n","d_loss_fake:2.399244465323136e-07\n","d_loss_wrong:5.982853508612607e-06\n","d_loss:0.16675246359238827\n","g_loss:[0.45148674, 0.3926948, 0.029395968]\n","Batch:20\n","d_loss_real:0.35157185792922974\n","d_loss_fake:5.505565059138462e-05\n","d_loss_wrong:2.0446414055186324e-06\n","d_loss:0.17580020403784147\n","g_loss:[0.3858841, 0.32730117, 0.02929146]\n","Batch:21\n","d_loss_real:0.3303702771663666\n","d_loss_fake:6.576695795956766e-06\n","d_loss_wrong:1.614962638996076e-05\n","d_loss:0.16519082016384345\n","g_loss:[0.39512846, 0.33674943, 0.029189518]\n","Batch:22\n","d_loss_real:0.34686437249183655\n","d_loss_fake:6.882091838633642e-06\n","d_loss_wrong:4.7359585551021155e-06\n","d_loss:0.1734350907586304\n","g_loss:[0.43387672, 0.37570912, 0.029083809]\n","Batch:23\n","d_loss_real:0.33215242624282837\n","d_loss_fake:0.00014600789290852845\n","d_loss_wrong:6.105872671469115e-06\n","d_loss:0.16611424156144494\n","g_loss:[0.4095705, 0.3516266, 0.02897194]\n","Batch:24\n","d_loss_real:0.33080971240997314\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.2256413103605155e-06\n","d_loss:0.165405437615334\n","g_loss:[0.8823895, 0.8246657, 0.028861891]\n","Batch:25\n","d_loss_real:0.3277301788330078\n","d_loss_fake:7.760903827147558e-06\n","d_loss_wrong:4.560116622087662e-07\n","d_loss:0.16386714364534782\n","g_loss:[0.43943736, 0.38245362, 0.028491866]\n","Batch:26\n","d_loss_real:0.3290693759918213\n","d_loss_fake:8.796750626061112e-05\n","d_loss_wrong:3.237686541979201e-06\n","d_loss:0.16455748929365654\n","g_loss:[0.43865845, 0.38211587, 0.028271293]\n","Batch:27\n","d_loss_real:0.33343401551246643\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.320107114428538e-06\n","d_loss:0.16671761278303165\n","g_loss:[0.59582245, 0.5395886, 0.028116941]\n","Batch:28\n","d_loss_real:0.43285369873046875\n","d_loss_fake:0.0002881417458411306\n","d_loss_wrong:2.0713041521958075e-05\n","d_loss:0.21650406306434888\n","g_loss:[0.42425925, 0.36841577, 0.02792173]\n","Batch:29\n","d_loss_real:0.36470827460289\n","d_loss_fake:0.0023429810535162687\n","d_loss_wrong:1.1477100088086445e-05\n","d_loss:0.18294275185326114\n","g_loss:[0.38228872, 0.32674438, 0.027772177]\n","Batch:30\n","d_loss_real:0.33652395009994507\n","d_loss_fake:0.01224219799041748\n","d_loss_wrong:9.398951988259796e-06\n","d_loss:0.17132487427443266\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.40525973, 0.3499568, 0.027651463]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 969\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3328878581523895\n","d_loss_fake:0.0009122037445195019\n","d_loss_wrong:2.686923380679218e-06\n","d_loss:0.1666726517432835\n","g_loss:[0.41181684, 0.35673016, 0.027543336]\n","Batch:2\n","d_loss_real:0.3312971293926239\n","d_loss_fake:3.0839760256640147e-06\n","d_loss_wrong:4.274492312106304e-06\n","d_loss:0.1656504043133964\n","g_loss:[0.4545148, 0.39962927, 0.027442772]\n","Batch:3\n","d_loss_real:0.33436352014541626\n","d_loss_fake:1.2618963296517904e-07\n","d_loss_wrong:8.891118341125548e-06\n","d_loss:0.16718401439970876\n","g_loss:[0.40946898, 0.35474953, 0.027359718]\n","Batch:4\n","d_loss_real:0.33422333002090454\n","d_loss_fake:0.0009570950642228127\n","d_loss_wrong:1.5819277905393392e-05\n","d_loss:0.16735489359416533\n","g_loss:[0.3857132, 0.33119196, 0.027260622]\n","Batch:5\n","d_loss_real:0.3297770023345947\n","d_loss_fake:6.930220115464181e-05\n","d_loss_wrong:1.0986993856931804e-06\n","d_loss:0.16490610139226192\n","g_loss:[0.3989967, 0.3446624, 0.02716716]\n","Batch:6\n","d_loss_real:0.3298209011554718\n","d_loss_fake:0.0001265111204702407\n","d_loss_wrong:5.13386157763307e-06\n","d_loss:0.1649433618222247\n","g_loss:[0.39271486, 0.33855382, 0.027080525]\n","Batch:7\n","d_loss_real:0.3319336771965027\n","d_loss_fake:0.00028213943005539477\n","d_loss_wrong:5.680136609953479e-07\n","d_loss:0.16603751546062995\n","g_loss:[0.38440517, 0.3304289, 0.02698813]\n","Batch:8\n","d_loss_real:0.3283069431781769\n","d_loss_fake:3.6099278077017516e-05\n","d_loss_wrong:7.924212695797905e-06\n","d_loss:0.16416447746178164\n","g_loss:[0.385055, 0.33125877, 0.02689812]\n","Batch:9\n","d_loss_real:0.3312772810459137\n","d_loss_fake:1.9688517568283714e-05\n","d_loss_wrong:1.673420001679915e-06\n","d_loss:0.1656439810071788\n","g_loss:[0.41371822, 0.3600996, 0.026809301]\n","Batch:10\n","d_loss_real:0.32672154903411865\n","d_loss_fake:1.948807403095998e-05\n","d_loss_wrong:3.084594936808571e-05\n","d_loss:0.1633733580229091\n","g_loss:[0.39291367, 0.3394742, 0.02671973]\n","Batch:11\n","d_loss_real:0.3257507383823395\n","d_loss_fake:0.0008956585079431534\n","d_loss_wrong:2.1898110844631447e-06\n","d_loss:0.16309983127575833\n","g_loss:[0.4011865, 0.3479231, 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0.026335144]\n","Batch:16\n","d_loss_real:0.3331734240055084\n","d_loss_fake:1.0192094634930982e-07\n","d_loss_wrong:1.0023884442489361e-06\n","d_loss:0.1665869880800983\n","g_loss:[1.0358942, 0.9833813, 0.026256416]\n","Batch:17\n","d_loss_real:0.3268146812915802\n","d_loss_fake:0.0002311105199623853\n","d_loss_wrong:5.521475259229192e-07\n","d_loss:0.16346525631161057\n","g_loss:[0.38256735, 0.3295529, 0.026507229]\n","Batch:18\n","d_loss_real:0.32628321647644043\n","d_loss_fake:0.0005400772206485271\n","d_loss_wrong:1.0526451660552993e-05\n","d_loss:0.163279259155388\n","g_loss:[0.7490353, 0.695834, 0.026600664]\n","Batch:19\n","d_loss_real:0.32640498876571655\n","d_loss_fake:3.0465872669083183e-07\n","d_loss_wrong:1.2122682164772414e-05\n","d_loss:0.16320560121812377\n","g_loss:[3.4098854, 3.3566062, 0.0266396]\n","Batch:20\n","d_loss_real:0.33065539598464966\n","d_loss_fake:0.0018669858109205961\n","d_loss_wrong:7.423142278639716e-07\n","d_loss:0.16579463001107797\n","g_loss:[0.4351379, 0.382684, 0.026226949]\n","Batch:21\n","d_loss_real:0.3428744375705719\n","d_loss_fake:0.004055221099406481\n","d_loss_wrong:3.1037357985042036e-05\n","d_loss:0.17245878337416798\n","g_loss:[0.5222574, 0.47026104, 0.025998179]\n","Batch:22\n","d_loss_real:0.32836517691612244\n","d_loss_fake:0.0327901616692543\n","d_loss_wrong:2.502331426512683e-06\n","d_loss:0.17238075472414494\n","g_loss:[6.317886, 6.2662487, 0.02581858]\n","Batch:23\n","d_loss_real:0.3264060318470001\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.364359367376892e-06\n","d_loss:0.1632043820133049\n","g_loss:[5.675595, 5.623502, 0.02604657]\n","Batch:24\n","d_loss_real:0.3283601403236389\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.7791721802495886e-06\n","d_loss:0.16418053995485593\n","g_loss:[3.2783642, 3.226108, 0.026128013]\n","Batch:25\n","d_loss_real:0.32817068696022034\n","d_loss_fake:2.6345656806370243e-05\n","d_loss_wrong:3.0486560831377574e-07\n","d_loss:0.16409200611087726\n","g_loss:[1.1528559, 1.1019816, 0.025437132]\n","Batch:26\n","d_loss_real:0.32614678144454956\n","d_loss_fake:3.7052602692710934e-06\n","d_loss_wrong:4.381632606964558e-06\n","d_loss:0.16307541244555068\n","g_loss:[0.74041206, 0.6898147, 0.02529869]\n","Batch:27\n","d_loss_real:0.3336830735206604\n","d_loss_fake:5.656924713548506e-06\n","d_loss_wrong:1.3581561688624788e-06\n","d_loss:0.1668432905305508\n","g_loss:[0.6787778, 0.62807906, 0.025349393]\n","Batch:28\n","d_loss_real:0.33916717767715454\n","d_loss_fake:5.5993696150835603e-05\n","d_loss_wrong:9.8852169685415e-06\n","d_loss:0.1696000585670845\n","g_loss:[4.810437, 4.7595687, 0.025434222]\n","Batch:29\n","d_loss_real:0.3660803735256195\n","d_loss_fake:0.00023781368508934975\n","d_loss_wrong:1.0354489859309979e-05\n","d_loss:0.18310222880973015\n","g_loss:[0.9639066, 0.9154194, 0.024243603]\n","Batch:30\n","d_loss_real:0.3283899426460266\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.7442654249607585e-06\n","d_loss:0.16419618238933253\n","g_loss:[0.44980446, 0.40227062, 0.023766914]\n","========================================\n","Epoch is: 970\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32687634229660034\n","d_loss_fake:0.0017478320514783263\n","d_loss_wrong:3.0218902793421876e-06\n","d_loss:0.16387588463840075\n","g_loss:[0.9600917, 0.91313684, 0.023477446]\n","Batch:2\n","d_loss_real:0.33681368827819824\n","d_loss_fake:0.00013038856559433043\n","d_loss_wrong:2.3706729734840337e-06\n","d_loss:0.16844003394726315\n","g_loss:[0.5549381, 0.50828797, 0.023325065]\n","Batch:3\n","d_loss_real:0.33040159940719604\n","d_loss_fake:0.00035876675974577665\n","d_loss_wrong:6.222065167094115e-06\n","d_loss:0.16529204691323685\n","g_loss:[0.889353, 0.84282655, 0.023263212]\n","Batch:4\n","d_loss_real:0.33054929971694946\n","d_loss_fake:0.02005179598927498\n","d_loss_wrong:2.5923975499608787e-06\n","d_loss:0.1702882470563054\n","g_loss:[3.9322011, 3.8856125, 0.02329432]\n","Batch:5\n","d_loss_real:0.33565205335617065\n","d_loss_fake:0.00041394191794097424\n","d_loss_wrong:9.741210078573204e-07\n","d_loss:0.16792975569114788\n","g_loss:[1.3322951, 1.285126, 0.023584535]\n","Batch:6\n","d_loss_real:0.33260828256607056\n","d_loss_fake:0.00032239893334917724\n","d_loss_wrong:1.4946084547773353e-06\n","d_loss:0.1663851146658999\n","g_loss:[0.85061276, 0.80239403, 0.024109358]\n","Batch:7\n","d_loss_real:0.35502099990844727\n","d_loss_fake:0.10748021304607391\n","d_loss_wrong:7.080960813254933e-07\n","d_loss:0.2043807301670313\n","g_loss:[14.555269, 14.506285, 0.02449203]\n","Batch:8\n","d_loss_real:0.41452670097351074\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.366678381804377e-05\n","d_loss:0.20726929218290024\n","g_loss:[14.4468, 14.397501, 0.024649853]\n","Batch:9\n","d_loss_real:0.3399200439453125\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.927627848403063e-06\n","d_loss:0.16996202887958134\n","g_loss:[14.55558, 14.506285, 0.024647621]\n","Batch:10\n","d_loss_real:0.4016919732093811\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.00016195853822864592\n","d_loss:0.20088650123943808\n","g_loss:[12.800861, 12.751656, 0.024602985]\n","Batch:11\n","d_loss_real:0.34726467728614807\n","d_loss_fake:2.637585566844791e-06\n","d_loss_wrong:1.429474741598824e-05\n","d_loss:0.17363657172609237\n","g_loss:[8.181048, 8.131798, 0.024625422]\n","Batch:12\n","d_loss_real:0.3412926495075226\n","d_loss_fake:0.002112198155373335\n","d_loss_wrong:4.976017862645676e-06\n","d_loss:0.17117561830673367\n","g_loss:[6.3020554, 6.252588, 0.024733717]\n","Batch:13\n","d_loss_real:0.33621641993522644\n","d_loss_fake:1.9242157577537e-05\n","d_loss_wrong:2.346711335121654e-05\n","d_loss:0.1681188872853454\n","g_loss:[5.887857, 5.837849, 0.025003994]\n","Batch:14\n","d_loss_real:0.3435603678226471\n","d_loss_fake:0.10858883708715439\n","d_loss_wrong:8.591716323280707e-06\n","d_loss:0.1989295408129692\n","g_loss:[8.990342, 8.939875, 0.02523383]\n","Batch:15\n","d_loss_real:0.3322291970252991\n","d_loss_fake:5.568381311604753e-07\n","d_loss_wrong:1.0732178452599328e-05\n","d_loss:0.16611742076679548\n","g_loss:[9.172311, 9.120968, 0.025671437]\n","Batch:16\n","d_loss_real:0.38490304350852966\n","d_loss_fake:6.50860874884529e-06\n","d_loss_wrong:9.59340582085133e-07\n","d_loss:0.19245338874156914\n","g_loss:[3.8059435, 3.7544143, 0.025764585]\n","Batch:17\n","d_loss_real:0.3458401560783386\n","d_loss_fake:3.0266132853284944e-06\n","d_loss_wrong:2.350290969843627e-06\n","d_loss:0.17292142226528995\n","g_loss:[3.9568756, 3.9049401, 0.025967678]\n","Batch:18\n","d_loss_real:0.33753594756126404\n","d_loss_fake:0.0002933510404545814\n","d_loss_wrong:3.799453679675935e-06\n","d_loss:0.16884226140246028\n","g_loss:[3.3060381, 3.252737, 0.026650498]\n","Batch:19\n","d_loss_real:0.3320535123348236\n","d_loss_fake:2.49785273354064e-07\n","d_loss_wrong:4.3055901187472045e-05\n","d_loss:0.1660375825886149\n","g_loss:[1.1060379, 1.0518148, 0.027111545]\n","Batch:20\n","d_loss_real:0.33664432168006897\n","d_loss_fake:0.044775933027267456\n","d_loss_wrong:4.055430508742575e-06\n","d_loss:0.1795171583071351\n","g_loss:[4.2560797, 4.201455, 0.027312163]\n","Batch:21\n","d_loss_real:0.35651129484176636\n","d_loss_fake:2.379749957981403e-06\n","d_loss_wrong:1.3972555279906373e-05\n","d_loss:0.1782597354972495\n","g_loss:[2.0893264, 2.03492, 0.027203193]\n","Batch:22\n","d_loss_real:0.34322625398635864\n","d_loss_fake:2.182569460273953e-06\n","d_loss_wrong:4.563536094792653e-06\n","d_loss:0.1716148135195681\n","g_loss:[2.301637, 2.247272, 0.027182424]\n","Batch:23\n","d_loss_real:0.33743852376937866\n","d_loss_fake:1.2222764098623884e-06\n","d_loss_wrong:3.5137386475980747e-06\n","d_loss:0.16872044588842527\n","g_loss:[1.7225457, 1.6683247, 0.02711052]\n","Batch:24\n","d_loss_real:0.347097784280777\n","d_loss_fake:7.588421431137249e-05\n","d_loss_wrong:1.2464859082683688e-06\n","d_loss:0.173568174815955\n","g_loss:[0.4952475, 0.44079852, 0.027224492]\n","Batch:25\n","d_loss_real:0.3496018946170807\n","d_loss_fake:0.00010396258585387841\n","d_loss_wrong:5.888228429284936e-07\n","d_loss:0.17482708516035927\n","g_loss:[0.77725905, 0.7228028, 0.02722812]\n","Batch:26\n","d_loss_real:0.3389940857887268\n","d_loss_fake:0.00019983128004241735\n","d_loss_wrong:6.914321602380369e-06\n","d_loss:0.16954872929636622\n","g_loss:[0.6069754, 0.55250794, 0.027233731]\n","Batch:27\n","d_loss_real:0.3306087851524353\n","d_loss_fake:5.13204067829065e-05\n","d_loss_wrong:6.811367825321213e-07\n","d_loss:0.1653173929616969\n","g_loss:[0.38806435, 0.33367607, 0.027194146]\n","Batch:28\n","d_loss_real:0.3310370147228241\n","d_loss_fake:0.000217420092667453\n","d_loss_wrong:1.2769939530699048e-05\n","d_loss:0.1655760548710532\n","g_loss:[0.46201462, 0.40778852, 0.027113056]\n","Batch:29\n","d_loss_real:0.33276984095573425\n","d_loss_fake:0.00016390846576541662\n","d_loss_wrong:5.47457420907449e-06\n","d_loss:0.1664272662383155\n","g_loss:[0.3966409, 0.34263888, 0.027001005]\n","Batch:30\n","d_loss_real:0.33742424845695496\n","d_loss_fake:1.5218747648759745e-05\n","d_loss_wrong:1.1878252053065808e-06\n","d_loss:0.16871622587177626\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.57907, 0.5253124, 0.026878783]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 971\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32835179567337036\n","d_loss_fake:0.00022250138863455504\n","d_loss_wrong:1.5870531342443428e-06\n","d_loss:0.1642319199454505\n","g_loss:[0.4137204, 0.36023408, 0.026743155]\n","Batch:2\n","d_loss_real:0.3315381109714508\n","d_loss_fake:0.004654747899621725\n","d_loss_wrong:1.142654468822002e-06\n","d_loss:0.1669330281438306\n","g_loss:[0.4165899, 0.36333367, 0.026628112]\n","Batch:3\n","d_loss_real:0.3338389992713928\n","d_loss_fake:0.0015797868836671114\n","d_loss_wrong:2.7754958864534274e-06\n","d_loss:0.1673151402210351\n","g_loss:[0.38029703, 0.3272911, 0.026502972]\n","Batch:4\n","d_loss_real:0.33257046341896057\n","d_loss_fake:3.474875120446086e-05\n","d_loss_wrong:2.311367325091851e-06\n","d_loss:0.1662944967392832\n","g_loss:[0.4586774, 0.40591168, 0.026382858]\n","Batch:5\n","d_loss_real:0.32982373237609863\n","d_loss_fake:0.000154676177771762\n","d_loss_wrong:1.0957529639199493e-06\n","d_loss:0.16495080917229643\n","g_loss:[0.38468018, 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0.025926307]\n","Batch:10\n","d_loss_real:0.33400505781173706\n","d_loss_fake:0.000821294728666544\n","d_loss_wrong:4.7554367483826354e-05\n","d_loss:0.1672197411826346\n","g_loss:[0.379164, 0.3274652, 0.025849396]\n","Batch:11\n","d_loss_real:0.3287205398082733\n","d_loss_fake:9.779671381693333e-05\n","d_loss_wrong:2.412089315839694e-06\n","d_loss:0.164385322104863\n","g_loss:[0.37851077, 0.32699364, 0.025758568]\n","Batch:12\n","d_loss_real:0.33297690749168396\n","d_loss_fake:0.0006962816114537418\n","d_loss_wrong:5.52070389403525e-07\n","d_loss:0.16666266215906944\n","g_loss:[0.37789583, 0.32656747, 0.025664184]\n","Batch:13\n","d_loss_real:0.32939448952674866\n","d_loss_fake:0.0005771629512310028\n","d_loss_wrong:1.4453431731453747e-06\n","d_loss:0.16484189683978911\n","g_loss:[0.38476378, 0.3336324, 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0.024858508]\n","Batch:22\n","d_loss_real:0.33885103464126587\n","d_loss_fake:0.0030525291804224253\n","d_loss_wrong:1.819560111471219e-06\n","d_loss:0.17018910450860858\n","g_loss:[0.38704455, 0.33707988, 0.024982326]\n","Batch:23\n","d_loss_real:0.3290409445762634\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.5053881219937466e-06\n","d_loss:0.16452137363518204\n","g_loss:[10.089523, 10.0395355, 0.024993729]\n","Batch:24\n","d_loss_real:0.3350363075733185\n","d_loss_fake:5.0843973440350965e-05\n","d_loss_wrong:1.024503603730409e-06\n","d_loss:0.16753112090555078\n","g_loss:[2.4670696, 2.4139411, 0.026564252]\n","Batch:25\n","d_loss_real:0.33266356587409973\n","d_loss_fake:4.604062269208953e-05\n","d_loss_wrong:6.06398998570512e-07\n","d_loss:0.16634344469275675\n","g_loss:[2.2458289, 2.1910076, 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10.252305, 0.026815692]\n","========================================\n","Epoch is: 972\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.35412538051605225\n","d_loss_fake:0.00032380418269895017\n","d_loss_wrong:1.7961020830625785e-06\n","d_loss:0.17714409033214906\n","g_loss:[5.446107, 5.39338, 0.026363334]\n","Batch:2\n","d_loss_real:0.3282511830329895\n","d_loss_fake:2.7339176540408516e-06\n","d_loss_wrong:2.978244310725131e-06\n","d_loss:0.16412701955698594\n","g_loss:[4.861525, 4.8094378, 0.026043732]\n","Batch:3\n","d_loss_real:0.3378239572048187\n","d_loss_fake:0.003452946897596121\n","d_loss_wrong:1.1127675861644093e-05\n","d_loss:0.16977799724554643\n","g_loss:[3.9402893, 3.8884766, 0.025906298]\n","Batch:4\n","d_loss_real:0.33057937026023865\n","d_loss_fake:0.00010384737834101543\n","d_loss_wrong:2.5704139261506498e-05\n","d_loss:0.16532207300770096\n","g_loss:[3.107434, 3.0558956, 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0.026121054]\n","Batch:9\n","d_loss_real:0.32842138409614563\n","d_loss_fake:0.0001951813028426841\n","d_loss_wrong:4.5589035835291725e-06\n","d_loss:0.16426062709797407\n","g_loss:[2.0609171, 2.0102775, 0.025319796]\n","Batch:10\n","d_loss_real:0.33384573459625244\n","d_loss_fake:0.0003155519952997565\n","d_loss_wrong:2.000823587877676e-05\n","d_loss:0.16700675735773984\n","g_loss:[1.3762683, 1.3263991, 0.024934579]\n","Batch:11\n","d_loss_real:0.3307459354400635\n","d_loss_fake:0.0007052348228171468\n","d_loss_wrong:5.776639682153473e-06\n","d_loss:0.16555072058690712\n","g_loss:[1.2685497, 1.219188, 0.024680879]\n","Batch:12\n","d_loss_real:0.32718291878700256\n","d_loss_fake:0.017272023484110832\n","d_loss_wrong:7.718109600318712e-07\n","d_loss:0.16790965804830194\n","g_loss:[0.76449513, 0.7154733, 0.024510907]\n","Batch:13\n","d_loss_real:0.3303639888763428\n","d_loss_fake:0.00012848476762883365\n","d_loss_wrong:2.7169164695806103e-06\n","d_loss:0.16521479485891177\n","g_loss:[0.7336104, 0.68486786, 0.024371251]\n","Batch:14\n","d_loss_real:0.34274035692214966\n","d_loss_fake:2.7215612135478295e-05\n","d_loss_wrong:1.815810378502647e-06\n","d_loss:0.17137743631656122\n","g_loss:[0.57074285, 0.52206635, 0.024338257]\n","Batch:15\n","d_loss_real:0.3332604169845581\n","d_loss_fake:0.0007850941037759185\n","d_loss_wrong:3.6661710964835947e-06\n","d_loss:0.16682739855605178\n","g_loss:[0.41695803, 0.36845455, 0.024251746]\n","Batch:16\n","d_loss_real:0.346017986536026\n","d_loss_fake:6.167509127408266e-05\n","d_loss_wrong:1.0995953516612644e-06\n","d_loss:0.1730246869392431\n","g_loss:[0.58323383, 0.534884, 0.024174932]\n","Batch:17\n","d_loss_real:0.33806896209716797\n","d_loss_fake:2.4568912522227038e-06\n","d_loss_wrong:1.1355664355505724e-06\n","d_loss:0.16903537916300593\n","g_loss:[0.68261594, 0.6343735, 0.024121227]\n","Batch:18\n","d_loss_real:0.33258622884750366\n","d_loss_fake:0.0035245593171566725\n","d_loss_wrong:2.2524279756908072e-06\n","d_loss:0.16717481735395268\n","g_loss:[0.42413947, 0.37603986, 0.024049798]\n","Batch:19\n","d_loss_real:0.329926073551178\n","d_loss_fake:0.002663244027644396\n","d_loss_wrong:1.1837384590762667e-05\n","d_loss:0.1656318071181886\n","g_loss:[0.40560144, 0.3576734, 0.023964023]\n","Batch:20\n","d_loss_real:0.3371497690677643\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.207896487670951e-06\n","d_loss:0.16857671150796705\n","g_loss:[0.6703343, 0.6225861, 0.02387411]\n","Batch:21\n","d_loss_real:0.32983121275901794\n","d_loss_fake:8.711349073564634e-05\n","d_loss_wrong:4.435740720509784e-06\n","d_loss:0.16493849368816882\n","g_loss:[0.41462365, 0.366791, 0.023916315]\n","Batch:22\n","d_loss_real:0.33047088980674744\n","d_loss_fake:0.00024792103795334697\n","d_loss_wrong:1.290196109948738e-06\n","d_loss:0.16529774771333905\n","g_loss:[0.41752732, 0.369716, 0.023905665]\n","Batch:23\n","d_loss_real:0.3317940831184387\n","d_loss_fake:1.4002723219164182e-05\n","d_loss_wrong:7.122881925170077e-06\n","d_loss:0.16590232296039176\n","g_loss:[0.5069657, 0.45924878, 0.023858469]\n","Batch:24\n","d_loss_real:0.35075968503952026\n","d_loss_fake:0.0005386166740208864\n","d_loss_wrong:2.1902994831179967e-06\n","d_loss:0.17551504426228348\n","g_loss:[0.3843393, 0.3367148, 0.023812251]\n","Batch:25\n","d_loss_real:0.33822694420814514\n","d_loss_fake:0.0002916035591624677\n","d_loss_wrong:5.20104777024244e-07\n","d_loss:0.1691865030225017\n","g_loss:[0.37721452, 0.329725, 0.023744766]\n","Batch:26\n","d_loss_real:0.32845616340637207\n","d_loss_fake:0.0004954258329235017\n","d_loss_wrong:8.316120329254773e-06\n","d_loss:0.1643540171935456\n","g_loss:[0.60136354, 0.55402744, 0.023668062]\n","Batch:27\n","d_loss_real:0.8679274320602417\n","d_loss_fake:0.6994425058364868\n","d_loss_wrong:2.2813833311374765e-06\n","d_loss:0.6088249087333679\n","g_loss:[5.737298, 5.6902037, 0.023547081]\n","Batch:28\n","d_loss_real:0.34321328997612\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.00013230090553406626\n","d_loss:0.17163974521463388\n","g_loss:[7.7712746, 7.7248025, 0.023236051]\n","Batch:29\n","d_loss_real:0.37318816781044006\n","d_loss_fake:7.484344450858771e-07\n","d_loss_wrong:2.803558345476631e-06\n","d_loss:0.1865949719034461\n","g_loss:[2.1674693, 2.1209893, 0.02323998]\n","Batch:30\n","d_loss_real:0.3548314571380615\n","d_loss_fake:9.477780622546561e-06\n","d_loss_wrong:2.8059189389750827e-06\n","d_loss:0.17741879949380746\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[1.14561, 1.0990198, 0.023295099]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 973\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3475896716117859\n","d_loss_fake:1.6581792806391604e-05\n","d_loss_wrong:8.062590495683253e-06\n","d_loss:0.17380099690171846\n","g_loss:[0.6727243, 0.6257511, 0.023486618]\n","Batch:2\n","d_loss_real:0.33793187141418457\n","d_loss_fake:8.364968380192295e-05\n","d_loss_wrong:8.987518413050566e-06\n","d_loss:0.16898909500741865\n","g_loss:[0.54852605, 0.5013669, 0.023579558]\n","Batch:3\n","d_loss_real:0.33001524209976196\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.636328857392073e-06\n","d_loss:0.16500980513205832\n","g_loss:[2.079147, 2.0319133, 0.023616958]\n","Batch:4\n","d_loss_real:0.33978286385536194\n","d_loss_fake:0.0006196348695084453\n","d_loss_wrong:1.5069416804180946e-05\n","d_loss:0.17005010800494347\n","g_loss:[0.63775265, 0.58890474, 0.02442395]\n","Batch:5\n","d_loss_real:0.33479079604148865\n","d_loss_fake:0.0006458962452597916\n","d_loss_wrong:8.461798643111251e-06\n","d_loss:0.16755898753763177\n","g_loss:[1.1374438, 1.08779, 0.024826903]\n","Batch:6\n","d_loss_real:0.3352722227573395\n","d_loss_fake:6.399570702342317e-05\n","d_loss_wrong:4.335789981269045e-06\n","d_loss:0.1676531942521251\n","g_loss:[0.8578675, 0.8077407, 0.025063405]\n","Batch:7\n","d_loss_real:0.3278908133506775\n","d_loss_fake:0.0018406256567686796\n","d_loss_wrong:3.455241994743119e-06\n","d_loss:0.16440642689121887\n","g_loss:[0.905873, 0.85553586, 0.025168557]\n","Batch:8\n","d_loss_real:0.33161258697509766\n","d_loss_fake:0.0011778738116845489\n","d_loss_wrong:8.283296665467788e-06\n","d_loss:0.16610283276531845\n","g_loss:[0.6904587, 0.6402241, 0.025117297]\n","Batch:9\n","d_loss_real:0.32867321372032166\n","d_loss_fake:0.00199722358956933\n","d_loss_wrong:4.2983415369235445e-06\n","d_loss:0.16483698732918128\n","g_loss:[0.48201132, 0.43205324, 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0.0242964]\n","Batch:18\n","d_loss_real:0.3275318741798401\n","d_loss_fake:3.222403677227703e-07\n","d_loss_wrong:7.8847606346244e-06\n","d_loss:0.16376798884016353\n","g_loss:[0.3880775, 0.33960372, 0.02423688]\n","Batch:19\n","d_loss_real:0.33510956168174744\n","d_loss_fake:0.0009401847491972148\n","d_loss_wrong:1.5905779946479015e-05\n","d_loss:0.1677938034699764\n","g_loss:[0.45162567, 0.40329617, 0.024164751]\n","Batch:20\n","d_loss_real:0.3306942880153656\n","d_loss_fake:0.0015459201531484723\n","d_loss_wrong:1.0575119631539565e-05\n","d_loss:0.1657362678379286\n","g_loss:[0.38546473, 0.3373134, 0.024075653]\n","Batch:21\n","d_loss_real:0.3372833728790283\n","d_loss_fake:0.00012860279821325094\n","d_loss_wrong:4.623258064384572e-06\n","d_loss:0.16867499295403832\n","g_loss:[0.4249695, 0.37698284, 0.023993328]\n","Batch:22\n","d_loss_real:0.32966142892837524\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.2612183581950376e-06\n","d_loss:0.16483105476876858\n","g_loss:[1.7599576, 1.7121439, 0.023906821]\n","Batch:23\n","d_loss_real:0.33027440309524536\n","d_loss_fake:9.577299351803958e-05\n","d_loss_wrong:6.888266398163978e-06\n","d_loss:0.16516286686237436\n","g_loss:[0.5801639, 0.52770734, 0.026228283]\n","Batch:24\n","d_loss_real:0.33244603872299194\n","d_loss_fake:0.0011535396333783865\n","d_loss_wrong:1.6898319472602452e-06\n","d_loss:0.16651182674104348\n","g_loss:[0.62890995, 0.5739011, 0.027504414]\n","Batch:25\n","d_loss_real:0.3398863971233368\n","d_loss_fake:0.004671706352382898\n","d_loss_wrong:9.0456319412624e-07\n","d_loss:0.17111135134473443\n","g_loss:[0.4116151, 0.35536188, 0.028126616]\n","Batch:26\n","d_loss_real:0.3274683952331543\n","d_loss_fake:0.00024045069585554302\n","d_loss_wrong:1.2059739674441516e-05\n","d_loss:0.16379732522182167\n","g_loss:[1.1779397, 1.1211836, 0.028378028]\n","Batch:27\n","d_loss_real:0.3308752179145813\n","d_loss_fake:0.0008947745081968606\n","d_loss_wrong:1.6539568150619743e-06\n","d_loss:0.16566171607701108\n","g_loss:[0.5421882, 0.48545784, 0.02836519]\n","Batch:28\n","d_loss_real:0.3354113698005676\n","d_loss_fake:0.014414073899388313\n","d_loss_wrong:5.607780258287676e-05\n","d_loss:0.17132322280667722\n","g_loss:[0.8391017, 0.78251505, 0.028293308]\n","Batch:29\n","d_loss_real:0.3362121880054474\n","d_loss_fake:0.0003009186184499413\n","d_loss_wrong:1.7300060335401213e-06\n","d_loss:0.16818175616208464\n","g_loss:[1.3971026, 1.3408518, 0.028125431]\n","Batch:30\n","d_loss_real:0.33021241426467896\n","d_loss_fake:0.002566746436059475\n","d_loss_wrong:1.098418579204008e-06\n","d_loss:0.16574816836509854\n","g_loss:[0.6223688, 0.5658662, 0.028251309]\n","========================================\n","Epoch is: 974\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3298308849334717\n","d_loss_fake:0.0011030862806364894\n","d_loss_wrong:1.3981515394334565e-06\n","d_loss:0.16519156357389875\n","g_loss:[0.69398475, 0.6373261, 0.028329303]\n","Batch:2\n","d_loss_real:0.33268871903419495\n","d_loss_fake:0.004418986849486828\n","d_loss_wrong:5.41067129233852e-06\n","d_loss:0.1674504588590935\n","g_loss:[0.8166434, 0.759814, 0.0284147]\n","Batch:3\n","d_loss_real:0.3274688422679901\n","d_loss_fake:1.0208190360572189e-05\n","d_loss_wrong:2.508056013539317e-06\n","d_loss:0.16373760019564543\n","g_loss:[0.40660015, 0.34960085, 0.028499654]\n","Batch:4\n","d_loss_real:0.3264319896697998\n","d_loss_fake:0.0026625667233020067\n","d_loss_wrong:7.1704071160638705e-06\n","d_loss:0.16388342913705856\n","g_loss:[0.78109926, 0.7241087, 0.02849527]\n","Batch:5\n","d_loss_real:0.32743141055107117\n","d_loss_fake:0.0031060969922691584\n","d_loss_wrong:1.5919069937808672e-06\n","d_loss:0.16449262748938054\n","g_loss:[0.48493567, 0.42805585, 0.028439915]\n","Batch:6\n","d_loss_real:0.3323254883289337\n","d_loss_fake:3.204539552825736e-06\n","d_loss_wrong:4.69673750558286e-06\n","d_loss:0.16616471948373146\n","g_loss:[0.42975035, 0.37295738, 0.028396493]\n","Batch:7\n","d_loss_real:0.3293641209602356\n","d_loss_fake:0.001174019300378859\n","d_loss_wrong:1.4130006320556276e-06\n","d_loss:0.1649759185675066\n","g_loss:[0.53984064, 0.48320523, 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0.028199622]\n","Batch:12\n","d_loss_real:0.3290707468986511\n","d_loss_fake:0.0064731440506875515\n","d_loss_wrong:8.335081247423659e-07\n","d_loss:0.16615386784542352\n","g_loss:[0.5992911, 0.5429735, 0.028158795]\n","Batch:13\n","d_loss_real:0.3274562954902649\n","d_loss_fake:1.602686126034314e-07\n","d_loss_wrong:8.360093488590792e-07\n","d_loss:0.16372839681463347\n","g_loss:[1.1683806, 1.1123577, 0.028011462]\n","Batch:14\n","d_loss_real:0.3271288573741913\n","d_loss_fake:0.001076096436008811\n","d_loss_wrong:1.033369130709616e-06\n","d_loss:0.1638337111508008\n","g_loss:[0.45415235, 0.3977963, 0.028178018]\n","Batch:15\n","d_loss_real:0.33870700001716614\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.2658847430866444e-06\n","d_loss:0.16935434147978867\n","g_loss:[0.3883517, 0.33189687, 0.028227415]\n","Batch:16\n","d_loss_real:0.33170104026794434\n","d_loss_fake:0.020191723480820656\n","d_loss_wrong:1.0875712064262189e-07\n","d_loss:0.170898478012532\n","g_loss:[0.9828709, 0.92647743, 0.028196722]\n","Batch:17\n","d_loss_real:0.32968050241470337\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.724285412929021e-07\n","d_loss:0.16484044431449263\n","g_loss:[2.2942598, 2.2380967, 0.028081512]\n","Batch:18\n","d_loss_real:0.3358019292354584\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.168513780517969e-06\n","d_loss:0.1679022817461373\n","g_loss:[0.99589634, 0.93987596, 0.028010193]\n","Batch:19\n","d_loss_real:0.3293200135231018\n","d_loss_fake:0.007508237846195698\n","d_loss_wrong:3.568021384126041e-06\n","d_loss:0.16653795819729567\n","g_loss:[0.91708326, 0.8608426, 0.028120335]\n","Batch:20\n","d_loss_real:0.3344217836856842\n","d_loss_fake:0.00038097045035101473\n","d_loss_wrong:2.3681848233536584e-06\n","d_loss:0.16730672650010092\n","g_loss:[0.597907, 0.54159653, 0.028155226]\n","Batch:21\n","d_loss_real:0.3664475381374359\n","d_loss_fake:8.461961442662869e-07\n","d_loss_wrong:5.667368895956315e-06\n","d_loss:0.183225397459978\n","g_loss:[0.40744233, 0.35120404, 0.028119147]\n","Batch:22\n","d_loss_real:0.3326651453971863\n","d_loss_fake:0.03854311257600784\n","d_loss_wrong:1.0401640793133993e-06\n","d_loss:0.17596861068159342\n","g_loss:[3.847478, 3.7913737, 0.028052056]\n","Batch:23\n","d_loss_real:0.33310428261756897\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.619527094793739e-06\n","d_loss:0.16655282119057802\n","g_loss:[4.6336236, 4.57708, 0.028271854]\n","Batch:24\n","d_loss_real:0.3307915925979614\n","d_loss_fake:2.7037744075641967e-05\n","d_loss_wrong:9.460953833695385e-07\n","d_loss:0.1654027922586465\n","g_loss:[2.383808, 2.329297, 0.027255446]\n","Batch:25\n","d_loss_real:0.3366033434867859\n","d_loss_fake:0.00020377140026539564\n","d_loss_wrong:4.7289449867093936e-07\n","d_loss:0.1683527328168566\n","g_loss:[0.7524827, 0.6986674, 0.026907658]\n","Batch:26\n","d_loss_real:0.32737505435943604\n","d_loss_fake:0.0018822939600795507\n","d_loss_wrong:3.4408471947244834e-06\n","d_loss:0.16415896089165471\n","g_loss:[0.6079982, 0.5545123, 0.026742946]\n","Batch:27\n","d_loss_real:0.3391853868961334\n","d_loss_fake:0.004780516028404236\n","d_loss_wrong:8.258522257165168e-07\n","d_loss:0.1707880289759487\n","g_loss:[0.4485066, 0.3950551, 0.026725749]\n","Batch:28\n","d_loss_real:0.35248249769210815\n","d_loss_fake:1.1980233693975606e-07\n","d_loss_wrong:1.2982822227058932e-05\n","d_loss:0.17624452450218087\n","g_loss:[1.3134162, 1.2600015, 0.026707362]\n","Batch:29\n","d_loss_real:0.3362712264060974\n","d_loss_fake:0.0004203106218483299\n","d_loss_wrong:1.642340521357255e-06\n","d_loss:0.16824110144079896\n","g_loss:[0.7515801, 0.6976265, 0.026976809]\n","Batch:30\n","d_loss_real:0.3296600580215454\n","d_loss_fake:0.0011827178532257676\n","d_loss_wrong:7.407899147438002e-07\n","d_loss:0.16512589366175234\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.99159634, 0.93750155, 0.027047396]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 975\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32966867089271545\n","d_loss_fake:0.001269137137569487\n","d_loss_wrong:6.414149993361207e-07\n","d_loss:0.16515178009285592\n","g_loss:[0.62504184, 0.571033, 0.027004436]\n","Batch:2\n","d_loss_real:0.3305383324623108\n","d_loss_fake:1.6329565255546186e-07\n","d_loss_wrong:3.4446229619788937e-06\n","d_loss:0.16527006821081613\n","g_loss:[1.0948671, 1.0409405, 0.026963284]\n","Batch:3\n","d_loss_real:0.3296195864677429\n","d_loss_fake:0.00012003721349174157\n","d_loss_wrong:2.727389528445201e-06\n","d_loss:0.16484048438360333\n","g_loss:[0.39575973, 0.34188193, 0.026938904]\n","Batch:4\n","d_loss_real:0.3285166323184967\n","d_loss_fake:0.013333844020962715\n","d_loss_wrong:2.998479203597526e-06\n","d_loss:0.1675925268791616\n","g_loss:[0.9192404, 0.8654486, 0.026895916]\n","Batch:5\n","d_loss_real:0.3288736939430237\n","d_loss_fake:0.0004573760670609772\n","d_loss_wrong:5.360113277674827e-07\n","d_loss:0.16455132498958847\n","g_loss:[0.8195642, 0.7659288, 0.026817694]\n","Batch:6\n","d_loss_real:0.3296363949775696\n","d_loss_fake:0.00011281436309218407\n","d_loss_wrong:6.789585768274264e-06\n","d_loss:0.1648480984767957\n","g_loss:[1.5723774, 1.5186996, 0.026838928]\n","Batch:7\n","d_loss_real:0.3281469941139221\n","d_loss_fake:4.310724762035534e-06\n","d_loss_wrong:8.798681960797694e-07\n","d_loss:0.16407479470524322\n","g_loss:[0.44804013, 0.39381164, 0.027114248]\n","Batch:8\n","d_loss_real:0.32830673456192017\n","d_loss_fake:0.0009075749549083412\n","d_loss_wrong:7.805320819898043e-06\n","d_loss:0.1643822123442078\n","g_loss:[0.51786625, 0.46343154, 0.027217364]\n","Batch:9\n","d_loss_real:0.32830366492271423\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.401073291162902e-06\n","d_loss:0.16415220772967132\n","g_loss:[0.6691551, 0.61471856, 0.027218271]\n","Batch:10\n","d_loss_real:0.32707151770591736\n","d_loss_fake:0.0028822203166782856\n","d_loss_wrong:1.2582774616021197e-05\n","d_loss:0.164259459648747\n","g_loss:[0.7021865, 0.6479433, 0.02712161]\n","Batch:11\n","d_loss_real:0.32645949721336365\n","d_loss_fake:0.00019757954578381032\n","d_loss_wrong:1.5776115560584003e-06\n","d_loss:0.1632795378973242\n","g_loss:[0.4974696, 0.4434027, 0.027033443]\n","Batch:12\n","d_loss_real:0.3279556334018707\n","d_loss_fake:0.00014108698815107346\n","d_loss_wrong:9.947058288162225e-07\n","d_loss:0.16401333712565247\n","g_loss:[0.7021562, 0.64820874, 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0.026931036]\n","Batch:17\n","d_loss_real:0.327737957239151\n","d_loss_fake:0.0006223003147169948\n","d_loss_wrong:9.699317615741165e-07\n","d_loss:0.1640247961768182\n","g_loss:[0.48126844, 0.42754236, 0.026863044]\n","Batch:18\n","d_loss_real:0.3286680579185486\n","d_loss_fake:0.008220115676522255\n","d_loss_wrong:2.854632157323067e-06\n","d_loss:0.16638977150432765\n","g_loss:[1.0338068, 0.98017484, 0.02681598]\n","Batch:19\n","d_loss_real:0.33231741189956665\n","d_loss_fake:1.1916074527107412e-06\n","d_loss_wrong:1.8481542838344467e-06\n","d_loss:0.16615946589024588\n","g_loss:[1.3845825, 1.3303647, 0.027108897]\n","Batch:20\n","d_loss_real:0.3262734115123749\n","d_loss_fake:0.0007968376157805324\n","d_loss_wrong:7.440273748215986e-07\n","d_loss:0.16333610116271302\n","g_loss:[0.69357175, 0.6398097, 0.026881006]\n","Batch:21\n","d_loss_real:0.3337242603302002\n","d_loss_fake:0.00012367640738375485\n","d_loss_wrong:9.959860562958056e-07\n","d_loss:0.1668932982647675\n","g_loss:[2.3903177, 2.336744, 0.026786858]\n","Batch:22\n","d_loss_real:0.38559040427207947\n","d_loss_fake:0.27425312995910645\n","d_loss_wrong:7.209994805634778e-07\n","d_loss:0.26135866343975067\n","g_loss:[14.561832, 14.506285, 0.027773652]\n","Batch:23\n","d_loss_real:1.3479702472686768\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.00030813002376817167\n","d_loss:0.6740621811404708\n","g_loss:[14.281694, 14.225197, 0.028248658]\n","Batch:24\n","d_loss_real:0.38893574476242065\n","d_loss_fake:1.854236586495972e-07\n","d_loss_wrong:0.00010145566920982674\n","d_loss:0.19449328265363874\n","g_loss:[13.06907, 13.012563, 0.028253684]\n","Batch:25\n","d_loss_real:0.37240204215049744\n","d_loss_fake:3.356418289968133e-07\n","d_loss_wrong:0.0002059106045635417\n","d_loss:0.1862525826363708\n","g_loss:[11.366962, 11.311155, 0.027903428]\n","Batch:26\n","d_loss_real:0.3523672819137573\n","d_loss_fake:0.001969794509932399\n","d_loss_wrong:8.203509059967473e-05\n","d_loss:0.1766965983551927\n","g_loss:[8.656605, 8.601259, 0.027672613]\n","Batch:27\n","d_loss_real:0.41690072417259216\n","d_loss_fake:0.015358751639723778\n","d_loss_wrong:6.003106682328507e-05\n","d_loss:0.21230505779385567\n","g_loss:[5.2810636, 5.2261567, 0.027453318]\n","Batch:28\n","d_loss_real:0.3717944324016571\n","d_loss_fake:0.0086139515042305\n","d_loss_wrong:5.2213163144188e-05\n","d_loss:0.18806375726126134\n","g_loss:[2.730532, 2.6760972, 0.027217397]\n","Batch:29\n","d_loss_real:0.3514251708984375\n","d_loss_fake:0.036229051649570465\n","d_loss_wrong:4.4683562009595335e-05\n","d_loss:0.18478101957589388\n","g_loss:[3.1624, 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0.027454585]\n","Batch:4\n","d_loss_real:0.3447446823120117\n","d_loss_fake:0.00019764876924455166\n","d_loss_wrong:3.844793900498189e-05\n","d_loss:0.17243136533215875\n","g_loss:[1.0775787, 1.0232562, 0.027161216]\n","Batch:5\n","d_loss_real:0.3328542709350586\n","d_loss_fake:2.480850582742278e-07\n","d_loss_wrong:1.0272716281178873e-05\n","d_loss:0.1664297656677718\n","g_loss:[0.54157954, 0.48772937, 0.026925096]\n","Batch:6\n","d_loss_real:0.3481680452823639\n","d_loss_fake:0.00021112003014422953\n","d_loss_wrong:7.903783262008801e-05\n","d_loss:0.17415656210505404\n","g_loss:[0.9760755, 0.9226254, 0.026725024]\n","Batch:7\n","d_loss_real:0.3361130356788635\n","d_loss_fake:0.10133671760559082\n","d_loss_wrong:3.6237688618712127e-06\n","d_loss:0.193391602486372\n","g_loss:[4.6911616, 4.6379642, 0.026598653]\n","Batch:8\n","d_loss_real:0.3769218325614929\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.964651841670275e-05\n","d_loss:0.188470852910541\n","g_loss:[4.4707108, 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0.026060304]\n","Batch:13\n","d_loss_real:0.33560308814048767\n","d_loss_fake:1.2333382983342744e-05\n","d_loss_wrong:1.1919579264940694e-05\n","d_loss:0.1678076073108059\n","g_loss:[0.8628925, 0.8112442, 0.025824163]\n","Batch:14\n","d_loss_real:0.3405521810054779\n","d_loss_fake:0.002170650754123926\n","d_loss_wrong:9.839878657658119e-06\n","d_loss:0.17082121316343546\n","g_loss:[0.38708043, 0.33567253, 0.025703946]\n","Batch:15\n","d_loss_real:0.3483777642250061\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.854531728895381e-05\n","d_loss:0.17419354344201565\n","g_loss:[0.6594979, 0.6082989, 0.0255995]\n","Batch:16\n","d_loss_real:0.3297015130519867\n","d_loss_fake:0.0048054237850010395\n","d_loss_wrong:7.011993147898465e-06\n","d_loss:0.16605386545415968\n","g_loss:[0.5311481, 0.48013943, 0.02550431]\n","Batch:17\n","d_loss_real:0.349809467792511\n","d_loss_fake:3.563535210560076e-05\n","d_loss_wrong:5.85222733207047e-06\n","d_loss:0.1749151057911149\n","g_loss:[0.45957905, 0.40875095, 0.025414053]\n","Batch:18\n","d_loss_real:0.3366716802120209\n","d_loss_fake:0.0002683637721929699\n","d_loss_wrong:1.8605209334054962e-05\n","d_loss:0.1684075823504827\n","g_loss:[0.5135985, 0.46292433, 0.025337096]\n","Batch:19\n","d_loss_real:0.3319246768951416\n","d_loss_fake:0.0004172989574726671\n","d_loss_wrong:1.02071699075168e-05\n","d_loss:0.16606921498168958\n","g_loss:[0.439666, 0.38913506, 0.025265476]\n","Batch:20\n","d_loss_real:0.3812728822231293\n","d_loss_fake:0.0027201513294130564\n","d_loss_wrong:9.57590509642614e-06\n","d_loss:0.19131887290859595\n","g_loss:[0.3889973, 0.33860022, 0.02519853]\n","Batch:21\n","d_loss_real:0.35356590151786804\n","d_loss_fake:0.022581027820706367\n","d_loss_wrong:4.7441371862078086e-06\n","d_loss:0.18242939375340939\n","g_loss:[0.47456303, 0.42431927, 0.025121883]\n","Batch:22\n","d_loss_real:0.3393341302871704\n","d_loss_fake:1.2616496860573534e-06\n","d_loss_wrong:8.857417924446054e-06\n","d_loss:0.16966959491037414\n","g_loss:[0.54405266, 0.4938825, 0.025085088]\n","Batch:23\n","d_loss_real:0.33203232288360596\n","d_loss_fake:2.090259295073338e-05\n","d_loss_wrong:9.762946865521371e-05\n","d_loss:0.16604579445629497\n","g_loss:[0.5024725, 0.4522656, 0.025103461]\n","Batch:24\n","d_loss_real:0.3287712037563324\n","d_loss_fake:0.0001082375310943462\n","d_loss_wrong:5.867744675924769e-06\n","d_loss:0.1644141281976772\n","g_loss:[0.5303146, 0.4801353, 0.02508966]\n","Batch:25\n","d_loss_real:0.363921582698822\n","d_loss_fake:0.00010931173892458901\n","d_loss_wrong:1.0342972927901428e-05\n","d_loss:0.181990705026692\n","g_loss:[0.40052933, 0.35044268, 0.025043327]\n","Batch:26\n","d_loss_real:0.336834192276001\n","d_loss_fake:9.063201287062839e-05\n","d_loss_wrong:2.6373256332590245e-05\n","d_loss:0.16844634745575604\n","g_loss:[0.39635932, 0.34639612, 0.024981609]\n","Batch:27\n","d_loss_real:0.3531346917152405\n","d_loss_fake:0.0008509326726198196\n","d_loss_wrong:1.4497104530164506e-05\n","d_loss:0.17678370329667814\n","g_loss:[0.39726725, 0.3474062, 0.024930524]\n","Batch:28\n","d_loss_real:0.3366655707359314\n","d_loss_fake:0.001118187210522592\n","d_loss_wrong:1.173699911305448e-05\n","d_loss:0.168615266418783\n","g_loss:[0.37682387, 0.3270897, 0.024867091]\n","Batch:29\n","d_loss_real:0.33787885308265686\n","d_loss_fake:1.2770707144227345e-05\n","d_loss_wrong:1.7243786714971066e-05\n","d_loss:0.16894693016456586\n","g_loss:[0.38621208, 0.3366261, 0.02479298]\n","Batch:30\n","d_loss_real:0.3322697579860687\n","d_loss_fake:0.0001202444764203392\n","d_loss_wrong:1.7375783500028774e-05\n","d_loss:0.16616928405710496\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.40411583, 0.35467672, 0.024719555]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 977\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3352537751197815\n","d_loss_fake:1.815092787182948e-06\n","d_loss_wrong:6.603759175050072e-06\n","d_loss:0.16762899227296657\n","g_loss:[0.39450493, 0.34520143, 0.024651747]\n","Batch:2\n","d_loss_real:0.33014822006225586\n","d_loss_fake:0.00212228880263865\n","d_loss_wrong:4.519902176980395e-06\n","d_loss:0.1656058122171089\n","g_loss:[0.41418177, 0.36499268, 0.024594542]\n","Batch:3\n","d_loss_real:0.33036407828330994\n","d_loss_fake:0.0024645477533340454\n","d_loss_wrong:3.3417774830013514e-05\n","d_loss:0.16580653050914407\n","g_loss:[0.37453687, 0.32548052, 0.024528172]\n","Batch:4\n","d_loss_real:0.32936206459999084\n","d_loss_fake:0.0030841927509754896\n","d_loss_wrong:4.2402043618494645e-05\n","d_loss:0.16546268097590655\n","g_loss:[0.40604115, 0.3571338, 0.024453675]\n","Batch:5\n","d_loss_real:0.331424355506897\n","d_loss_fake:0.006786315701901913\n","d_loss_wrong:3.5674540868058102e-06\n","d_loss:0.16740964853670448\n","g_loss:[0.4484814, 0.39971346, 0.024383979]\n","Batch:6\n","d_loss_real:0.3270569443702698\n","d_loss_fake:2.2280719349510036e-05\n","d_loss_wrong:2.1968675355310552e-05\n","d_loss:0.1635395345338111\n","g_loss:[0.38827583, 0.33957654, 0.024349641]\n","Batch:7\n","d_loss_real:0.32854294776916504\n","d_loss_fake:0.001991384429857135\n","d_loss_wrong:4.432977220858447e-06\n","d_loss:0.16477042820770293\n","g_loss:[0.39756992, 0.34898138, 0.024294278]\n","Batch:8\n","d_loss_real:0.33179527521133423\n","d_loss_fake:4.058097147208173e-07\n","d_loss_wrong:3.5069788282271475e-05\n","d_loss:0.16590650650505268\n","g_loss:[0.65197057, 0.6034771, 0.024246734]\n","Batch:9\n","d_loss_real:0.3322036862373352\n","d_loss_fake:0.0010892380960285664\n","d_loss_wrong:6.945005225134082e-06\n","d_loss:0.1663758888898883\n","g_loss:[0.38594604, 0.33753932, 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0.018940337]\n","Batch:22\n","d_loss_real:0.33869490027427673\n","d_loss_fake:0.00012254381726961583\n","d_loss_wrong:5.5413452173525e-06\n","d_loss:0.16937947142650955\n","g_loss:[0.44543535, 0.40811005, 0.01866264]\n","Batch:23\n","d_loss_real:0.328920841217041\n","d_loss_fake:0.0001542347454233095\n","d_loss_wrong:5.518800753634423e-05\n","d_loss:0.16451277629676042\n","g_loss:[0.4983962, 0.4614335, 0.018481348]\n","Batch:24\n","d_loss_real:0.3268264830112457\n","d_loss_fake:0.00011048596206819639\n","d_loss_wrong:6.093644969951129e-06\n","d_loss:0.16344238640704134\n","g_loss:[0.40871698, 0.37194973, 0.018383626]\n","Batch:25\n","d_loss_real:0.33079928159713745\n","d_loss_fake:1.717665873002261e-05\n","d_loss_wrong:3.61667798642884e-06\n","d_loss:0.16540483913286153\n","g_loss:[0.5230396, 0.486406, 0.018316802]\n","Batch:26\n","d_loss_real:0.3374986946582794\n","d_loss_fake:0.003818394150584936\n","d_loss_wrong:1.3909007975598797e-05\n","d_loss:0.16970742313424125\n","g_loss:[0.37626317, 0.33969587, 0.018283654]\n","Batch:27\n","d_loss_real:0.38414788246154785\n","d_loss_fake:0.00817872118204832\n","d_loss_wrong:1.68823007697938e-05\n","d_loss:0.19412284204736352\n","g_loss:[0.37356532, 0.33706242, 0.018251454]\n","Batch:28\n","d_loss_real:0.335578590631485\n","d_loss_fake:0.021252110600471497\n","d_loss_wrong:1.856761082308367e-05\n","d_loss:0.17310696467757225\n","g_loss:[0.45330405, 0.41688013, 0.018211957]\n","Batch:29\n","d_loss_real:0.3339311480522156\n","d_loss_fake:7.626499427715316e-05\n","d_loss_wrong:2.073410178127233e-05\n","d_loss:0.16698982379966765\n","g_loss:[0.57484657, 0.53844154, 0.018202513]\n","Batch:30\n","d_loss_real:0.330036461353302\n","d_loss_fake:7.678310794290155e-05\n","d_loss_wrong:1.3923428014095407e-05\n","d_loss:0.16504090730995813\n","g_loss:[0.38436052, 0.3481036, 0.018128458]\n","========================================\n","Epoch is: 978\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3284441828727722\n","d_loss_fake:1.656833956076298e-05\n","d_loss_wrong:3.2930897759797517e-06\n","d_loss:0.1642270567936066\n","g_loss:[0.41136688, 0.37524492, 0.018060986]\n","Batch:2\n","d_loss_real:0.32787808775901794\n","d_loss_fake:6.608022522414103e-05\n","d_loss_wrong:3.673331548270653e-06\n","d_loss:0.1639564822689863\n","g_loss:[0.44637296, 0.4103984, 0.017987277]\n","Batch:3\n","d_loss_real:0.3269306719303131\n","d_loss_fake:0.00018660005298443139\n","d_loss_wrong:4.043513399665244e-05\n","d_loss:0.16352209476099233\n","g_loss:[0.37272203, 0.3369077, 0.017907154]\n","Batch:4\n","d_loss_real:0.32635411620140076\n","d_loss_fake:7.44044518796727e-05\n","d_loss_wrong:1.7527017917018384e-05\n","d_loss:0.16320004096814955\n","g_loss:[0.51834273, 0.48263612, 0.017853314]\n","Batch:5\n","d_loss_real:0.32577162981033325\n","d_loss_fake:0.004059740342199802\n","d_loss_wrong:3.362211145940819e-06\n","d_loss:0.16390159050934017\n","g_loss:[0.3712587, 0.33554527, 0.017856715]\n","Batch:6\n","d_loss_real:0.3270944058895111\n","d_loss_fake:1.6986736227408983e-05\n","d_loss_wrong:1.696577965049073e-05\n","d_loss:0.16355569107327028\n","g_loss:[0.6510037, 0.61534286, 0.017830446]\n","Batch:7\n","d_loss_real:0.32718783617019653\n","d_loss_fake:0.00011806590191554278\n","d_loss_wrong:3.6386945794220082e-06\n","d_loss:0.1636243442335399\n","g_loss:[0.37396872, 0.3383848, 0.01779196]\n","Batch:8\n","d_loss_real:0.3278811573982239\n","d_loss_fake:0.00014588676276616752\n","d_loss_wrong:1.651036109251436e-05\n","d_loss:0.16398117797871237\n","g_loss:[0.4452931, 0.4097848, 0.017754158]\n","Batch:9\n","d_loss_real:0.32696330547332764\n","d_loss_fake:7.327633738896111e-06\n","d_loss_wrong:9.506052265351173e-06\n","d_loss:0.16348586115827857\n","g_loss:[0.3842595, 0.34882206, 0.017718717]\n","Batch:10\n","d_loss_real:0.3288888931274414\n","d_loss_fake:0.0004630053008440882\n","d_loss_wrong:7.955180626595393e-05\n","d_loss:0.16458008583867922\n","g_loss:[0.3687727, 0.33341885, 0.01767692]\n","Batch:11\n","d_loss_real:0.3260655701160431\n","d_loss_fake:2.322373620700091e-05\n","d_loss_wrong:1.1992889994871803e-05\n","d_loss:0.16304158921411727\n","g_loss:[0.38205796, 0.34677893, 0.017639516]\n","Batch:12\n","d_loss_real:0.3265908360481262\n","d_loss_fake:0.00011932748748222366\n","d_loss_wrong:4.7269868446164764e-06\n","d_loss:0.16332643164423644\n","g_loss:[0.36530745, 0.33010828, 0.017599585]\n","Batch:13\n","d_loss_real:0.32642802596092224\n","d_loss_fake:0.0013033808209002018\n","d_loss_wrong:6.453674359363504e-06\n","d_loss:0.1635414716147352\n","g_loss:[0.37140396, 0.33628923, 0.017557362]\n","Batch:14\n","d_loss_real:0.3263203501701355\n","d_loss_fake:4.608834569808096e-05\n","d_loss_wrong:5.8947330217051785e-06\n","d_loss:0.16317317085486138\n","g_loss:[0.50108886, 0.46605158, 0.017518634]\n","Batch:15\n","d_loss_real:0.3289416432380676\n","d_loss_fake:0.0011452184990048409\n","d_loss_wrong:9.161581147054676e-06\n","d_loss:0.16475941662793048\n","g_loss:[0.36334938, 0.32834, 0.017504685]\n","Batch:16\n","d_loss_real:0.32715559005737305\n","d_loss_fake:0.00023607323237229139\n","d_loss_wrong:3.1244724141288316e-06\n","d_loss:0.16363759445448522\n","g_loss:[0.36696145, 0.33200318, 0.017479138]\n","Batch:17\n","d_loss_real:0.3271305561065674\n","d_loss_fake:0.0001434592268196866\n","d_loss_wrong:3.8572957237192895e-06\n","d_loss:0.163602107182669\n","g_loss:[0.36703867, 0.33214006, 0.017449297]\n","Batch:18\n","d_loss_real:0.3266475796699524\n","d_loss_fake:0.000774227490182966\n","d_loss_wrong:2.1317267965059727e-05\n","d_loss:0.1635226760263322\n","g_loss:[0.39386797, 0.3590273, 0.01742034]\n","Batch:19\n","d_loss_real:0.3275538682937622\n","d_loss_fake:2.247281008749269e-05\n","d_loss_wrong:4.6714690142835025e-06\n","d_loss:0.16378372021654286\n","g_loss:[0.36264938, 0.32790017, 0.017374605]\n","Batch:20\n","d_loss_real:0.32881009578704834\n","d_loss_fake:0.003909881226718426\n","d_loss_wrong:3.361714561833651e-06\n","d_loss:0.16538335860241205\n","g_loss:[0.36347997, 0.3288133, 0.017333334]\n","Batch:21\n","d_loss_real:0.32698673009872437\n","d_loss_fake:8.209679435822181e-06\n","d_loss_wrong:7.836317308829166e-06\n","d_loss:0.16349737654854835\n","g_loss:[0.5227887, 0.4882044, 0.01729217]\n","Batch:22\n","d_loss_real:0.32693129777908325\n","d_loss_fake:0.00044309982331469655\n","d_loss_wrong:4.948351488565095e-06\n","d_loss:0.1635776609327877\n","g_loss:[0.41228265, 0.37782082, 0.017230907]\n","Batch:23\n","d_loss_real:0.32768046855926514\n","d_loss_fake:0.000515940657351166\n","d_loss_wrong:3.0676648748340085e-05\n","d_loss:0.16397688860888593\n","g_loss:[0.42740288, 0.39308554, 0.017158672]\n","Batch:24\n","d_loss_real:0.32629185914993286\n","d_loss_fake:0.0003681704984046519\n","d_loss_wrong:5.526349923457019e-06\n","d_loss:0.1632393537875032\n","g_loss:[0.36957955, 0.3353058, 0.017136876]\n","Batch:25\n","d_loss_real:0.3280206024646759\n","d_loss_fake:0.0007290710927918553\n","d_loss_wrong:2.853319983842084e-06\n","d_loss:0.1641932823404204\n","g_loss:[0.3646843, 0.3304611, 0.017111603]\n","Batch:26\n","d_loss_real:0.3307197093963623\n","d_loss_fake:0.00022142066154628992\n","d_loss_wrong:1.3035750271228608e-05\n","d_loss:0.1654184688013629\n","g_loss:[0.3615885, 0.32742703, 0.017080735]\n","Batch:27\n","d_loss_real:0.3392074406147003\n","d_loss_fake:0.001036657951772213\n","d_loss_wrong:4.243302555551054e-06\n","d_loss:0.16986394562991336\n","g_loss:[0.37314242, 0.339039, 0.017051715]\n","Batch:28\n","d_loss_real:0.34627431631088257\n","d_loss_fake:3.7947501141388784e-07\n","d_loss_wrong:1.317450460192049e-05\n","d_loss:0.17314054665030199\n","g_loss:[0.50332594, 0.46929365, 0.017016154]\n","Batch:29\n","d_loss_real:0.33060768246650696\n","d_loss_fake:2.2155370515974937e-06\n","d_loss_wrong:1.6074809536803514e-05\n","d_loss:0.16530841381973005\n","g_loss:[1.7318435, 1.6978458, 0.016998807]\n","Batch:30\n","d_loss_real:0.3281581997871399\n","d_loss_fake:8.292349230032414e-05\n","d_loss_wrong:1.1478928172437008e-05\n","d_loss:0.1641027004989155\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[1.0385755, 1.0053489, 0.016613288]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 979\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32655104994773865\n","d_loss_fake:0.00044204224832355976\n","d_loss_wrong:2.1264715996949235e-06\n","d_loss:0.1633865671537933\n","g_loss:[1.5835443, 1.5506816, 0.016431348]\n","Batch:2\n","d_loss_real:0.3287253677845001\n","d_loss_fake:0.00017373675655107945\n","d_loss_wrong:3.4723898352240212e-06\n","d_loss:0.16440698617952876\n","g_loss:[0.97208005, 0.9397564, 0.016161827]\n","Batch:3\n","d_loss_real:0.32719582319259644\n","d_loss_fake:0.0146867036819458\n","d_loss_wrong:3.300955722806975e-05\n","d_loss:0.16727783996611834\n","g_loss:[0.5528508, 0.52100646, 0.015922159]\n","Batch:4\n","d_loss_real:0.328407347202301\n","d_loss_fake:0.02332816645503044\n","d_loss_wrong:5.633737146126805e-06\n","d_loss:0.17003712384030223\n","g_loss:[1.4007893, 1.3692367, 0.015776247]\n","Batch:5\n","d_loss_real:0.3311004340648651\n","d_loss_fake:7.5803436629939824e-06\n","d_loss_wrong:1.3438624364425777e-06\n","d_loss:0.16555244808387215\n","g_loss:[1.6767446, 1.6451495, 0.015797578]\n","Batch:6\n","d_loss_real:0.33111390471458435\n","d_loss_fake:6.679551006527618e-05\n","d_loss_wrong:5.835867341374978e-06\n","d_loss:0.16557511020073434\n","g_loss:[0.7430908, 0.71130216, 0.015894314]\n","Batch:7\n","d_loss_real:0.3268952965736389\n","d_loss_fake:0.0014806664548814297\n","d_loss_wrong:4.656836154026678e-06\n","d_loss:0.16381897911196575\n","g_loss:[0.4210787, 0.3891917, 0.015943516]\n","Batch:8\n","d_loss_real:0.3300186097621918\n","d_loss_fake:0.00012345591676421463\n","d_loss_wrong:8.631316632090602e-06\n","d_loss:0.16504232669103658\n","g_loss:[0.44619167, 0.41426516, 0.015963256]\n","Batch:9\n","d_loss_real:0.33291131258010864\n","d_loss_fake:0.0024493830278515816\n","d_loss_wrong:7.412529157591052e-06\n","d_loss:0.16706985520431772\n","g_loss:[0.37752655, 0.34553093, 0.015997816]\n","Batch:10\n","d_loss_real:0.3275980055332184\n","d_loss_fake:0.0004317775019444525\n","d_loss_wrong:3.350508268340491e-05\n","d_loss:0.16391532341367565\n","g_loss:[0.64381546, 0.6118211, 0.015997179]\n","Batch:11\n","d_loss_real:0.32759279012680054\n","d_loss_fake:3.4664284953578317e-07\n","d_loss_wrong:7.54253505874658e-06\n","d_loss:0.16379836735791287\n","g_loss:[0.71194434, 0.68026173, 0.015841309]\n","Batch:12\n","d_loss_real:0.3277626633644104\n","d_loss_fake:0.0008634617552161217\n","d_loss_wrong:2.457418304402381e-06\n","d_loss:0.16409781147376634\n","g_loss:[0.36726907, 0.3357795, 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0.35606056, 0.015572123]\n","Batch:30\n","d_loss_real:0.32660168409347534\n","d_loss_fake:0.002044608350843191\n","d_loss_wrong:5.462421995616751e-06\n","d_loss:0.16381335974438116\n","g_loss:[0.3679714, 0.33691248, 0.015529457]\n","========================================\n","Epoch is: 980\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.35154038667678833\n","d_loss_fake:1.0192094634930982e-07\n","d_loss_wrong:5.319930551195284e-06\n","d_loss:0.17577154880132184\n","g_loss:[0.4051965, 0.37419885, 0.01549882]\n","Batch:2\n","d_loss_real:0.3394003212451935\n","d_loss_fake:0.09826651960611343\n","d_loss_wrong:1.4030894135430572e-06\n","d_loss:0.19426714070141315\n","g_loss:[12.6591835, 12.628204, 0.015489645]\n","Batch:3\n","d_loss_real:0.347328245639801\n","d_loss_fake:1.5905200712040823e-07\n","d_loss_wrong:1.3366059647523798e-05\n","d_loss:0.17366750409792076\n","g_loss:[10.959891, 10.928833, 0.01552924]\n","Batch:4\n","d_loss_real:0.8499460220336914\n","d_loss_fake:0.0014877445064485073\n","d_loss_wrong:6.289036537054926e-05\n","d_loss:0.4253606697311625\n","g_loss:[1.1153886, 1.0842911, 0.015548788]\n","Batch:5\n","d_loss_real:0.3712749481201172\n","d_loss_fake:0.020898362621665\n","d_loss_wrong:0.00010667125025065616\n","d_loss:0.19088873267173767\n","g_loss:[2.9317112, 2.9006994, 0.015505893]\n","Batch:6\n","d_loss_real:0.3681192398071289\n","d_loss_fake:0.00022154950420372188\n","d_loss_wrong:6.641072104685009e-05\n","d_loss:0.1841316099598771\n","g_loss:[1.0534177, 1.0219786, 0.015719507]\n","Batch:7\n","d_loss_real:0.35266104340553284\n","d_loss_fake:0.16652195155620575\n","d_loss_wrong:0.00017524731811136007\n","d_loss:0.21800482273101807\n","g_loss:[6.524244, 6.492695, 0.015774522]\n","Batch:8\n","d_loss_real:0.5460979342460632\n","d_loss_fake:4.2195919377263635e-05\n","d_loss_wrong:0.00019267172319814563\n","d_loss:0.27310768403549446\n","g_loss:[7.1037736, 7.072446, 0.01566378]\n","Batch:9\n","d_loss_real:0.3570747375488281\n","d_loss_fake:3.931242827093229e-05\n","d_loss_wrong:1.6543965102755465e-05\n","d_loss:0.17855133287230274\n","g_loss:[3.7241542, 3.692805, 0.015674643]\n","Batch:10\n","d_loss_real:0.33508583903312683\n","d_loss_fake:0.0010551965096965432\n","d_loss_wrong:0.00013065367238596082\n","d_loss:0.16783938207663596\n","g_loss:[1.3373855, 1.305898, 0.015743775]\n","Batch:11\n","d_loss_real:0.33655983209609985\n","d_loss_fake:4.5494789446820505e-06\n","d_loss_wrong:0.00019780549337156117\n","d_loss:0.1683305047918111\n","g_loss:[1.5225254, 1.4911269, 0.015699293]\n","Batch:12\n","d_loss_real:0.34358519315719604\n","d_loss_fake:6.239776848815382e-05\n","d_loss_wrong:1.830449400586076e-05\n","d_loss:0.17181277214331203\n","g_loss:[0.45644465, 0.42508498, 0.015679836]\n","Batch:13\n","d_loss_real:0.3330767750740051\n","d_loss_fake:0.003041595919057727\n","d_loss_wrong:6.928544462425634e-05\n","d_loss:0.16731610789429396\n","g_loss:[0.46841165, 0.4371088, 0.015651416]\n","Batch:14\n","d_loss_real:0.3408624231815338\n","d_loss_fake:0.00020643524476327002\n","d_loss_wrong:8.736516610952094e-05\n","d_loss:0.17050466169166612\n","g_loss:[0.61733735, 0.5861185, 0.0156094255]\n","Batch:15\n","d_loss_real:0.32969528436660767\n","d_loss_fake:0.0005019648233428597\n","d_loss_wrong:4.776893911184743e-05\n","d_loss:0.16498507562209852\n","g_loss:[0.4857203, 0.45448017, 0.015620068]\n","Batch:16\n","d_loss_real:0.3745378851890564\n","d_loss_fake:3.525419174366107e-07\n","d_loss_wrong:1.6150997907971032e-05\n","d_loss:0.18727306847949876\n","g_loss:[0.45729646, 0.42608064, 0.015607911]\n","Batch:17\n","d_loss_real:0.3396115303039551\n","d_loss_fake:0.0016816441202536225\n","d_loss_wrong:3.8041140214772895e-05\n","d_loss:0.17023568646982312\n","g_loss:[0.39250988, 0.36138952, 0.01556018]\n","Batch:18\n","d_loss_real:0.35471537709236145\n","d_loss_fake:5.447607236419572e-07\n","d_loss_wrong:0.00016937257896643132\n","d_loss:0.17740016788229696\n","g_loss:[0.38612455, 0.35508388, 0.015520332]\n","Batch:19\n","d_loss_real:0.3487921953201294\n","d_loss_fake:0.02104509063065052\n","d_loss_wrong:2.1327423382899724e-05\n","d_loss:0.179662702139467\n","g_loss:[0.3779654, 0.34703588, 0.015464747]\n","Batch:20\n","d_loss_real:0.3267509341239929\n","d_loss_fake:1.6439526007161476e-05\n","d_loss_wrong:6.848860357422382e-05\n","d_loss:0.16339669909393706\n","g_loss:[0.4249999, 0.39417964, 0.015410131]\n","Batch:21\n","d_loss_real:0.3422239124774933\n","d_loss_fake:1.971361052710563e-05\n","d_loss_wrong:5.552934453589842e-05\n","d_loss:0.1711307669775124\n","g_loss:[0.46713704, 0.43630534, 0.0154158445]\n","Batch:22\n","d_loss_real:0.33595365285873413\n","d_loss_fake:8.924548455979675e-05\n","d_loss_wrong:1.3155679880583193e-05\n","d_loss:0.16800242672070453\n","g_loss:[0.37722734, 0.34642252, 0.015402412]\n","Batch:23\n","d_loss_real:0.3369656205177307\n","d_loss_fake:1.6210102330660447e-05\n","d_loss_wrong:0.00011116121459053829\n","d_loss:0.16851465308718616\n","g_loss:[0.3932988, 0.36255413, 0.0153723415]\n","Batch:24\n","d_loss_real:0.3372129797935486\n","d_loss_fake:6.813667823735159e-06\n","d_loss_wrong:1.9750332285184413e-05\n","d_loss:0.1686131308970289\n","g_loss:[0.5740058, 0.543273, 0.015366393]\n","Batch:25\n","d_loss_real:0.32910481095314026\n","d_loss_fake:6.400480924639851e-05\n","d_loss_wrong:2.4007125830394216e-05\n","d_loss:0.16457440845988458\n","g_loss:[0.41361773, 0.38280433, 0.015406695]\n","Batch:26\n","d_loss_real:0.3296566605567932\n","d_loss_fake:0.0010061858920380473\n","d_loss_wrong:0.00020024737750645727\n","d_loss:0.1651299385994207\n","g_loss:[0.36501288, 0.3341299, 0.015441492]\n","Batch:27\n","d_loss_real:0.33447784185409546\n","d_loss_fake:1.920492468343582e-05\n","d_loss_wrong:2.0704019334516488e-05\n","d_loss:0.16724889816305222\n","g_loss:[0.3627168, 0.33184418, 0.015436301]\n","Batch:28\n","d_loss_real:0.3305957615375519\n","d_loss_fake:0.0007239683764055371\n","d_loss_wrong:5.2487583161564544e-05\n","d_loss:0.1654919947613962\n","g_loss:[0.37528047, 0.34445074, 0.015414869]\n","Batch:29\n","d_loss_real:0.361806184053421\n","d_loss_fake:0.0007827123627066612\n","d_loss_wrong:0.00010759619908640161\n","d_loss:0.18112566917261574\n","g_loss:[0.36714932, 0.3363665, 0.015391404]\n","Batch:30\n","d_loss_real:0.33359503746032715\n","d_loss_fake:8.947800961323082e-05\n","d_loss_wrong:0.00022793149400968105\n","d_loss:0.16687687110970728\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.3657216, 0.33500776, 0.015356928]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 981\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.33618009090423584\n","d_loss_fake:0.0016513981390744448\n","d_loss_wrong:1.1908504347957205e-05\n","d_loss:0.16850587210501544\n","g_loss:[0.3649756, 0.3343206, 0.0153275]\n","Batch:2\n","d_loss_real:0.34322842955589294\n","d_loss_fake:0.000434425484854728\n","d_loss_wrong:2.04482494154945e-05\n","d_loss:0.17172793320787605\n","g_loss:[0.36151984, 0.3309332, 0.01529332]\n","Batch:3\n","d_loss_real:0.3532862663269043\n","d_loss_fake:2.958315405976464e-07\n","d_loss_wrong:1.1953994544455782e-05\n","d_loss:0.17664619561992367\n","g_loss:[0.71406335, 0.6835433, 0.015260013]\n","Batch:4\n","d_loss_real:0.3301927447319031\n","d_loss_fake:0.00029653412639163435\n","d_loss_wrong:4.071211151313037e-05\n","d_loss:0.16518068392178975\n","g_loss:[0.3895169, 0.3592585, 0.015129194]\n","Batch:5\n","d_loss_real:0.3352939486503601\n","d_loss_fake:0.0017617068951949477\n","d_loss_wrong:1.3389131709118374e-05\n","d_loss:0.16809074833872728\n","g_loss:[0.38377026, 0.35367006, 0.015050101]\n","Batch:6\n","d_loss_real:0.33564525842666626\n","d_loss_fake:0.0002093905641231686\n","d_loss_wrong:1.5157717825786676e-05\n","d_loss:0.16787876628222875\n","g_loss:[0.37812218, 0.34815222, 0.01498498]\n","Batch:7\n","d_loss_real:0.32981282472610474\n","d_loss_fake:0.0007190054166130722\n","d_loss_wrong:0.00022263225400820374\n","d_loss:0.1651418217807077\n","g_loss:[0.36228007, 0.33239168, 0.014944188]\n","Batch:8\n","d_loss_real:0.34804239869117737\n","d_loss_fake:0.0016096262261271477\n","d_loss_wrong:0.00011654348054435104\n","d_loss:0.17445274177589454\n","g_loss:[0.35725805, 0.32744735, 0.014905346]\n","Batch:9\n","d_loss_real:0.32778340578079224\n","d_loss_fake:2.630879134812858e-05\n","d_loss_wrong:2.8758015560015338e-06\n","d_loss:0.16389899903879268\n","g_loss:[0.6107978, 0.5810586, 0.014869591]\n","Batch:10\n","d_loss_real:0.3365046977996826\n","d_loss_fake:1.1605213330767583e-05\n","d_loss_wrong:3.7680190871469676e-05\n","d_loss:0.16826467025111924\n","g_loss:[0.3683386, 0.33865574, 0.014841437]\n","Batch:11\n","d_loss_real:0.3376739025115967\n","d_loss_fake:2.3986933229025453e-05\n","d_loss_wrong:9.15568380150944e-05\n","d_loss:0.16886583719860937\n","g_loss:[0.3783185, 0.34869295, 0.014812762]\n","Batch:12\n","d_loss_real:0.33242765069007874\n","d_loss_fake:1.6348992630810244e-06\n","d_loss_wrong:1.7506001313449815e-05\n","d_loss:0.16621861057001297\n","g_loss:[0.37484553, 0.34526616, 0.01478968]\n","Batch:13\n","d_loss_real:0.32877618074417114\n","d_loss_fake:0.00021236378233879805\n","d_loss_wrong:3.941628528991714e-05\n","d_loss:0.16445103538717376\n","g_loss:[0.36230832, 0.3327824, 0.014762962]\n","Batch:14\n","d_loss_real:0.326555073261261\n","d_loss_fake:6.251360900932923e-05\n","d_loss_wrong:2.8365038815536536e-05\n","d_loss:0.16330025629213196\n","g_loss:[0.36175483, 0.33228967, 0.014732582]\n","Batch:15\n","d_loss_real:0.32784420251846313\n","d_loss_fake:0.00025740923592820764\n","d_loss_wrong:3.203101732651703e-05\n","d_loss:0.16399446131981676\n","g_loss:[0.35625026, 0.32684377, 0.014703238]\n","Batch:16\n","d_loss_real:0.3394288420677185\n","d_loss_fake:0.0045222071930766106\n","d_loss_wrong:1.0375716556154657e-05\n","d_loss:0.17084756679832935\n","g_loss:[0.3696913, 0.34034458, 0.014673372]\n","Batch:17\n","d_loss_real:0.3361571431159973\n","d_loss_fake:3.107629527221434e-05\n","d_loss_wrong:3.5526027204468846e-05\n","d_loss:0.16809522213952732\n","g_loss:[0.36154193, 0.33220434, 0.014668787]\n","Batch:18\n","d_loss_real:0.32936233282089233\n","d_loss_fake:0.0029069469310343266\n","d_loss_wrong:4.9464979383628815e-05\n","d_loss:0.16542026936076581\n","g_loss:[0.3569924, 0.32769185, 0.014650273]\n","Batch:19\n","d_loss_real:0.32865190505981445\n","d_loss_fake:0.0007864964427426457\n","d_loss_wrong:1.0625592040014453e-05\n","d_loss:0.16452523303451017\n","g_loss:[0.36491925, 0.33566946, 0.014624891]\n","Batch:20\n","d_loss_real:0.32621219754219055\n","d_loss_fake:7.071082654874772e-05\n","d_loss_wrong:3.4596010664245114e-05\n","d_loss:0.16313242548130802\n","g_loss:[0.3596471, 0.33044556, 0.014600761]\n","Batch:21\n","d_loss_real:0.3265751004219055\n","d_loss_fake:0.00027151539688929915\n","d_loss_wrong:2.0848074200330302e-05\n","d_loss:0.16336064107599668\n","g_loss:[0.35677359, 0.32762054, 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0.014416253]\n","Batch:30\n","d_loss_real:0.3307896852493286\n","d_loss_fake:2.492581643309677e-06\n","d_loss_wrong:7.210436160676181e-05\n","d_loss:0.16541349186081789\n","g_loss:[0.35656565, 0.3277649, 0.01440037]\n","========================================\n","Epoch is: 982\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3269612491130829\n","d_loss_fake:0.00023848940327297896\n","d_loss_wrong:9.35806383495219e-06\n","d_loss:0.16354258642240893\n","g_loss:[0.3611497, 0.3323903, 0.0143796895]\n","Batch:2\n","d_loss_real:0.3277125358581543\n","d_loss_fake:1.3066396320482454e-07\n","d_loss_wrong:1.1576676115510054e-05\n","d_loss:0.16385919476419986\n","g_loss:[7.5547056, 7.5259905, 0.014357562]\n","Batch:3\n","d_loss_real:0.3288910686969757\n","d_loss_fake:5.9153244365006685e-05\n","d_loss_wrong:1.1763605471060146e-05\n","d_loss:0.164463263561629\n","g_loss:[1.4028187, 1.3728502, 0.01498422]\n","Batch:4\n","d_loss_real:0.3282679617404938\n","d_loss_fake:4.992954200133681e-05\n","d_loss_wrong:3.19247628794983e-05\n","d_loss:0.1641544444464671\n","g_loss:[1.1441084, 1.1135762, 0.015266133]\n","Batch:5\n","d_loss_real:0.3270488381385803\n","d_loss_fake:0.00033517007250338793\n","d_loss_wrong:7.385414846794447e-06\n","d_loss:0.16361005794169614\n","g_loss:[0.50383854, 0.47329226, 0.015273126]\n","Batch:6\n","d_loss_real:0.32796066999435425\n","d_loss_fake:0.0011382203083485365\n","d_loss_wrong:1.0280915375915356e-05\n","d_loss:0.16426746029173955\n","g_loss:[0.7012878, 0.67079014, 0.015248847]\n","Batch:7\n","d_loss_real:0.3313041627407074\n","d_loss_fake:8.413590694544837e-05\n","d_loss_wrong:0.00015810070908628404\n","d_loss:0.16571264052618062\n","g_loss:[1.3548846, 1.3246047, 0.01513992]\n","Batch:8\n","d_loss_real:0.3343781530857086\n","d_loss_fake:0.0035442975349724293\n","d_loss_wrong:0.00012919295113533735\n","d_loss:0.16810744919348508\n","g_loss:[0.3596111, 0.32981792, 0.014896582]\n","Batch:9\n","d_loss_real:0.3267275393009186\n","d_loss_fake:0.03094721958041191\n","d_loss_wrong:1.5296303672585054e-06\n","d_loss:0.17110095685347915\n","g_loss:[0.78680813, 0.75729, 0.014759076]\n","Batch:10\n","d_loss_real:0.3291740417480469\n","d_loss_fake:3.259254663134925e-05\n","d_loss_wrong:1.92927382158814e-05\n","d_loss:0.1645999921947805\n","g_loss:[0.99281216, 0.9635332, 0.014639479]\n","Batch:11\n","d_loss_real:0.3264751732349396\n","d_loss_fake:1.2960467188349867e-07\n","d_loss_wrong:7.064538658596575e-05\n","d_loss:0.16325528036577452\n","g_loss:[1.021326, 0.99232113, 0.014502421]\n","Batch:12\n","d_loss_real:0.3281554877758026\n","d_loss_fake:4.559767603495857e-06\n","d_loss_wrong:5.2737286750925705e-06\n","d_loss:0.16408020226208464\n","g_loss:[0.40130717, 0.37234446, 0.014481356]\n","Batch:13\n","d_loss_real:0.3272310793399811\n","d_loss_fake:5.789567012470798e-07\n","d_loss_wrong:2.7141488317283802e-05\n","d_loss:0.16362246978133044\n","g_loss:[0.46649194, 0.43757415, 0.014458887]\n","Batch:14\n","d_loss_real:0.3280159533023834\n","d_loss_fake:3.601238131523132e-05\n","d_loss_wrong:1.3208460586611181e-05\n","d_loss:0.16402028186166717\n","g_loss:[0.37428844, 0.34529972, 0.014494365]\n","Batch:15\n","d_loss_real:0.32902035117149353\n","d_loss_fake:0.00014738910249434412\n","d_loss_wrong:1.8327120415051468e-05\n","d_loss:0.16455160464101937\n","g_loss:[0.3642517, 0.33524927, 0.014501211]\n","Batch:16\n","d_loss_real:0.3369382917881012\n","d_loss_fake:4.866861127084121e-05\n","d_loss_wrong:3.3399364838260226e-06\n","d_loss:0.16848214803121664\n","g_loss:[0.36275485, 0.33378574, 0.01448456]\n","Batch:17\n","d_loss_real:0.3263106346130371\n","d_loss_fake:3.3711646665324224e-06\n","d_loss_wrong:2.5747194740688428e-05\n","d_loss:0.16316259689619983\n","g_loss:[0.43914655, 0.41021308, 0.014466733]\n","Batch:18\n","d_loss_real:0.3269415497779846\n","d_loss_fake:3.8769258026150055e-06\n","d_loss_wrong:1.4562505384674296e-05\n","d_loss:0.16347538474656176\n","g_loss:[0.38097933, 0.35209653, 0.014441399]\n","Batch:19\n","d_loss_real:0.3264625072479248\n","d_loss_fake:4.3537392002690467e-07\n","d_loss_wrong:8.150683243002277e-06\n","d_loss:0.16323340013832421\n","g_loss:[0.6194602, 0.5905984, 0.01443091]\n","Batch:20\n","d_loss_real:0.32600072026252747\n","d_loss_fake:0.0005451161996461451\n","d_loss_wrong:1.8068691133521497e-05\n","d_loss:0.16314115635759663\n","g_loss:[0.35947293, 0.32983658, 0.0148181785]\n","Batch:21\n","d_loss_real:0.32636696100234985\n","d_loss_fake:0.0004411134868860245\n","d_loss_wrong:1.5108586012502201e-05\n","d_loss:0.1632975360189448\n","g_loss:[0.3635392, 0.3335356, 0.015001786]\n","Batch:22\n","d_loss_real:0.3278256356716156\n","d_loss_fake:0.004044090397655964\n","d_loss_wrong:6.716493771818932e-06\n","d_loss:0.16492551960982382\n","g_loss:[0.3586869, 0.32853287, 0.015077015]\n","Batch:23\n","d_loss_real:0.33184340596199036\n","d_loss_fake:4.765549419971649e-06\n","d_loss_wrong:4.9060276069212705e-05\n","d_loss:0.1659351594371401\n","g_loss:[0.40012658, 0.3699301, 0.015098244]\n","Batch:24\n","d_loss_real:0.3280844986438751\n","d_loss_fake:0.0003236509801354259\n","d_loss_wrong:1.116374824050581e-05\n","d_loss:0.16412595300062094\n","g_loss:[0.3577191, 0.32746345, 0.015127817]\n","Batch:25\n","d_loss_real:0.3258185386657715\n","d_loss_fake:0.0007169436430558562\n","d_loss_wrong:6.880881301185582e-06\n","d_loss:0.1630902254692046\n","g_loss:[0.35604283, 0.3257926, 0.015125111]\n","Batch:26\n","d_loss_real:0.32645028829574585\n","d_loss_fake:4.929854185320437e-06\n","d_loss_wrong:8.383188833249733e-05\n","d_loss:0.16324733458350238\n","g_loss:[0.3586106, 0.3283983, 0.0151061565]\n","Batch:27\n","d_loss_real:0.3266991972923279\n","d_loss_fake:0.0004539758083410561\n","d_loss_wrong:7.007593467278639e-06\n","d_loss:0.1634648444960476\n","g_loss:[0.36263466, 0.33246943, 0.015082618]\n","Batch:28\n","d_loss_real:0.32715627551078796\n","d_loss_fake:0.00011939547403017059\n","d_loss_wrong:8.544649062969256e-06\n","d_loss:0.1636101227850304\n","g_loss:[0.3679144, 0.33780158, 0.015056419]\n","Batch:29\n","d_loss_real:0.32607632875442505\n","d_loss_fake:5.739859625464305e-05\n","d_loss_wrong:5.5065513151930645e-05\n","d_loss:0.16306628040547366\n","g_loss:[0.37350634, 0.34345832, 0.015024006]\n","Batch:30\n","d_loss_real:0.3305351138114929\n","d_loss_fake:0.000432612985605374\n","d_loss_wrong:3.231659866287373e-05\n","d_loss:0.16538378930272302\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.3573747, 0.32738957, 0.014992568]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 983\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3273774981498718\n","d_loss_fake:0.0004572525213006884\n","d_loss_wrong:7.637846465513576e-06\n","d_loss:0.1638049716639216\n","g_loss:[0.38348922, 0.35356832, 0.014960456]\n","Batch:2\n","d_loss_real:0.3274279236793518\n","d_loss_fake:0.006190148647874594\n","d_loss_wrong:7.19461468179361e-06\n","d_loss:0.16526329761836678\n","g_loss:[0.35646906, 0.3265784, 0.014945323]\n","Batch:3\n","d_loss_real:0.32576292753219604\n","d_loss_fake:4.483986776904203e-05\n","d_loss_wrong:1.394991522829514e-05\n","d_loss:0.1628961612113926\n","g_loss:[0.37492952, 0.3450862, 0.014921662]\n","Batch:4\n","d_loss_real:0.3310285210609436\n","d_loss_fake:2.5269731850130484e-05\n","d_loss_wrong:2.708739339141175e-05\n","d_loss:0.1655273498117822\n","g_loss:[0.36655557, 0.3367543, 0.014900637]\n","Batch:5\n","d_loss_real:0.328592449426651\n","d_loss_fake:0.0004507634730543941\n","d_loss_wrong:4.651357812690549e-06\n","d_loss:0.16441007841785904\n","g_loss:[0.3602081, 0.33044654, 0.014880775]\n","Batch:6\n","d_loss_real:0.3263779282569885\n","d_loss_fake:8.964021981228143e-05\n","d_loss_wrong:6.684330855932785e-06\n","d_loss:0.1632130452653655\n","g_loss:[0.35947272, 0.32976884, 0.01485194]\n","Batch:7\n","d_loss_real:0.32708391547203064\n","d_loss_fake:0.00013540941290557384\n","d_loss_wrong:0.00011769964476116002\n","d_loss:0.163605235000432\n","g_loss:[0.37107712, 0.3414216, 0.014827758]\n","Batch:8\n","d_loss_real:0.3305356204509735\n","d_loss_fake:0.0004398021847009659\n","d_loss_wrong:0.00012303207768127322\n","d_loss:0.16540851879108232\n","g_loss:[0.37002808, 0.34043527, 0.014796409]\n","Batch:9\n","d_loss_real:0.32673293352127075\n","d_loss_fake:0.0004844273498747498\n","d_loss_wrong:1.0005031754189986e-06\n","d_loss:0.16348782372369897\n","g_loss:[0.3576732, 0.3281553, 0.01475895]\n","Batch:10\n","d_loss_real:0.3260652422904968\n","d_loss_fake:2.905342807935085e-05\n","d_loss_wrong:1.7283156921621412e-05\n","d_loss:0.1630442052919534\n","g_loss:[0.3682341, 0.3387815, 0.0147262905]\n","Batch:11\n","d_loss_real:0.32647067308425903\n","d_loss_fake:3.415605897316709e-05\n","d_loss_wrong:6.344834400806576e-05\n","d_loss:0.16325973764287482\n","g_loss:[0.35936248, 0.3299659, 0.014698291]\n","Batch:12\n","d_loss_real:0.32703930139541626\n","d_loss_fake:2.0915153072564863e-05\n","d_loss_wrong:4.082749001099728e-06\n","d_loss:0.16352590017322655\n","g_loss:[0.37236765, 0.34302214, 0.014672752]\n","Batch:13\n","d_loss_real:0.32568269968032837\n","d_loss_fake:2.328726441191975e-05\n","d_loss_wrong:3.278979056631215e-05\n","d_loss:0.1628553691043635\n","g_loss:[0.3797948, 0.3504601, 0.014667353]\n","Batch:14\n","d_loss_real:0.3257700800895691\n","d_loss_fake:0.00018108959193341434\n","d_loss_wrong:9.102990588871762e-06\n","d_loss:0.1629325881913246\n","g_loss:[0.37394077, 0.34455985, 0.014690463]\n","Batch:15\n","d_loss_real:0.3278449475765228\n","d_loss_fake:0.0024268506094813347\n","d_loss_wrong:1.451656407880364e-05\n","d_loss:0.16453281557187438\n","g_loss:[0.37145513, 0.3420808, 0.014687161]\n","Batch:16\n","d_loss_real:0.32771357893943787\n","d_loss_fake:0.0030338119249790907\n","d_loss_wrong:2.982261094075511e-06\n","d_loss:0.16461598803289235\n","g_loss:[0.36079684, 0.33144373, 0.014676561]\n","Batch:17\n","d_loss_real:0.3258935511112213\n","d_loss_fake:7.377250767603982e-06\n","d_loss_wrong:2.381158628850244e-05\n","d_loss:0.1629545727646473\n","g_loss:[0.3730086, 0.3436918, 0.014658412]\n","Batch:18\n","d_loss_real:0.32587188482284546\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.150041316577699e-05\n","d_loss:0.16293884251467716\n","g_loss:[0.5199553, 0.49065655, 0.014649376]\n","Batch:19\n","d_loss_real:0.32602250576019287\n","d_loss_fake:0.00040833521052263677\n","d_loss_wrong:7.787653885316104e-06\n","d_loss:0.1631152835980174\n","g_loss:[0.3624756, 0.33311224, 0.014681676]\n","Batch:20\n","d_loss_real:0.32596343755722046\n","d_loss_fake:6.7428836700855754e-06\n","d_loss_wrong:1.765705383149907e-05\n","d_loss:0.162987818763213\n","g_loss:[0.40791872, 0.37853137, 0.014693676]\n","Batch:21\n","d_loss_real:0.32589685916900635\n","d_loss_fake:0.0006264710682444274\n","d_loss_wrong:1.1467713193269446e-05\n","d_loss:0.16310791428259108\n","g_loss:[0.37462386, 0.3452093, 0.014707282]\n","Batch:22\n","d_loss_real:0.3258359134197235\n","d_loss_fake:4.577497020363808e-05\n","d_loss_wrong:6.106077307777014e-06\n","d_loss:0.16293092697196698\n","g_loss:[0.36060384, 0.3312132, 0.014695322]\n","Batch:23\n","d_loss_real:0.328810453414917\n","d_loss_fake:0.0001705244358163327\n","d_loss_wrong:4.6052948164287955e-05\n","d_loss:0.16445937105163466\n","g_loss:[0.36589396, 0.3365366, 0.014678681]\n","Batch:24\n","d_loss_real:0.32663458585739136\n","d_loss_fake:5.883886387891835e-06\n","d_loss_wrong:1.0603866030578502e-05\n","d_loss:0.16332141486691398\n","g_loss:[0.36838952, 0.3390474, 0.01467106]\n","Batch:25\n","d_loss_real:0.3255133032798767\n","d_loss_fake:1.2546137440949678e-05\n","d_loss_wrong:6.940712410141714e-06\n","d_loss:0.16276152335240113\n","g_loss:[0.36153674, 0.33222136, 0.0146576855]\n","Batch:26\n","d_loss_real:0.32604721188545227\n","d_loss_fake:6.533238047268242e-05\n","d_loss_wrong:7.368611841229722e-05\n","d_loss:0.1630583605656284\n","g_loss:[0.36028317, 0.33099487, 0.014644146]\n","Batch:27\n","d_loss_real:0.3261399269104004\n","d_loss_fake:0.0001901653886307031\n","d_loss_wrong:6.959778602322331e-06\n","d_loss:0.1631192447457579\n","g_loss:[0.36728913, 0.33803385, 0.01462764]\n","Batch:28\n","d_loss_real:0.3262926936149597\n","d_loss_fake:7.3232499744335655e-06\n","d_loss_wrong:6.291561021498637e-06\n","d_loss:0.16314975051022884\n","g_loss:[0.37208158, 0.34285682, 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0.014513075]\n","Batch:3\n","d_loss_real:0.32563087344169617\n","d_loss_fake:0.00039493440999649465\n","d_loss_wrong:1.3648648746311665e-05\n","d_loss:0.16291758248553379\n","g_loss:[0.35789508, 0.32891148, 0.014491794]\n","Batch:4\n","d_loss_real:0.3288821578025818\n","d_loss_fake:1.3497480722435284e-05\n","d_loss_wrong:2.492470775905531e-05\n","d_loss:0.16445068444863864\n","g_loss:[0.3589603, 0.33001631, 0.014471988]\n","Batch:5\n","d_loss_real:0.326113224029541\n","d_loss_fake:0.0003017401904799044\n","d_loss_wrong:4.122773589188e-06\n","d_loss:0.16313307775271824\n","g_loss:[0.3700569, 0.34114936, 0.014453764]\n","Batch:6\n","d_loss_real:0.32586368918418884\n","d_loss_fake:9.456883844904951e-07\n","d_loss_wrong:6.017962732585147e-06\n","d_loss:0.1629335855049021\n","g_loss:[0.3738447, 0.3449644, 0.014440152]\n","Batch:7\n","d_loss_real:0.3259012997150421\n","d_loss_fake:6.219007627805695e-05\n","d_loss_wrong:9.398014663020149e-05\n","d_loss:0.16298969241324812\n","g_loss:[0.365779, 0.33696312, 0.01440795]\n","Batch:8\n","d_loss_real:0.32783976197242737\n","d_loss_fake:0.0002826431591529399\n","d_loss_wrong:0.00012384667934384197\n","d_loss:0.1640215034421999\n","g_loss:[0.38544002, 0.35668886, 0.014375585]\n","Batch:9\n","d_loss_real:0.32644885778427124\n","d_loss_fake:1.3594045412901323e-05\n","d_loss_wrong:9.097853421735635e-07\n","d_loss:0.16322805484992386\n","g_loss:[0.39319664, 0.3644436, 0.014376518]\n","Batch:10\n","d_loss_real:0.3253386616706848\n","d_loss_fake:8.34640559332911e-06\n","d_loss_wrong:1.534305738459807e-05\n","d_loss:0.1626752532010869\n","g_loss:[0.5080503, 0.47923055, 0.014409898]\n","Batch:11\n","d_loss_real:0.3255516290664673\n","d_loss_fake:0.0017798889894038439\n","d_loss_wrong:5.082441202830523e-05\n","d_loss:0.16323349287267774\n","g_loss:[0.36322418, 0.3339842, 0.014619993]\n","Batch:12\n","d_loss_real:0.3265317678451538\n","d_loss_fake:0.0008511835476383567\n","d_loss_wrong:3.2931388886936475e-06\n","d_loss:0.16347950309864245\n","g_loss:[0.35964128, 0.33020768, 0.014716801]\n","Batch:13\n","d_loss_real:0.32567232847213745\n","d_loss_fake:7.083765376592055e-05\n","d_loss_wrong:3.0886749300407246e-05\n","d_loss:0.1628615953377448\n","g_loss:[0.3899449, 0.36042625, 0.01475933]\n","Batch:14\n","d_loss_real:0.32589471340179443\n","d_loss_fake:4.8654961574357e-05\n","d_loss_wrong:7.2154548433900345e-06\n","d_loss:0.16296132430488797\n","g_loss:[0.3959529, 0.36639744, 0.014777738]\n","Batch:15\n","d_loss_real:0.3257640302181244\n","d_loss_fake:0.0006688812281936407\n","d_loss_wrong:1.2323307601036504e-05\n","d_loss:0.16305231624573935\n","g_loss:[0.35864416, 0.32904494, 0.014799615]\n","Batch:16\n","d_loss_real:0.325775146484375\n","d_loss_fake:0.0012210855493322015\n","d_loss_wrong:2.6392863219371065e-06\n","d_loss:0.16319350444246083\n","g_loss:[0.37033278, 0.3407386, 0.01479709]\n","Batch:17\n","d_loss_real:0.32577377557754517\n","d_loss_fake:0.0017291844123974442\n","d_loss_wrong:2.2133393940748647e-05\n","d_loss:0.1633247172285337\n","g_loss:[0.40687105, 0.37731558, 0.0147777395]\n","Batch:18\n","d_loss_real:0.32556599378585815\n","d_loss_fake:5.948857869952917e-05\n","d_loss_wrong:9.945297279045917e-06\n","d_loss:0.16280035536146897\n","g_loss:[0.36416012, 0.33459878, 0.01478067]\n","Batch:19\n","d_loss_real:0.3254472315311432\n","d_loss_fake:6.567652599187568e-05\n","d_loss_wrong:6.757340997864958e-06\n","d_loss:0.1627417242325464\n","g_loss:[0.36739323, 0.3378624, 0.014765406]\n","Batch:20\n","d_loss_real:0.32551008462905884\n","d_loss_fake:0.00038403680082410574\n","d_loss_wrong:1.3949603271612432e-05\n","d_loss:0.1628545389175997\n","g_loss:[0.36265495, 0.3331606, 0.014747173]\n","Batch:21\n","d_loss_real:0.32532307505607605\n","d_loss_fake:4.829164390685037e-05\n","d_loss_wrong:9.527383554086555e-06\n","d_loss:0.16267599228467589\n","g_loss:[0.3897839, 0.3603317, 0.014726082]\n","Batch:22\n","d_loss_real:0.325432151556015\n","d_loss_fake:0.00201224023476243\n","d_loss_wrong:5.634587068925612e-06\n","d_loss:0.16322054446209222\n","g_loss:[0.35692394, 0.327463, 0.014730468]\n","Batch:23\n","d_loss_real:0.3268551230430603\n","d_loss_fake:7.897004252299666e-06\n","d_loss_wrong:4.018296385766007e-05\n","d_loss:0.16343958151355764\n","g_loss:[0.3667701, 0.33733717, 0.0147164585]\n","Batch:24\n","d_loss_real:0.32638803124427795\n","d_loss_fake:5.4231873946264386e-05\n","d_loss_wrong:9.076912647287827e-06\n","d_loss:0.16320984281810524\n","g_loss:[0.38208878, 0.35269198, 0.0146983955]\n","Batch:25\n","d_loss_real:0.32553911209106445\n","d_loss_fake:0.003153333906084299\n","d_loss_wrong:6.128013410489075e-06\n","d_loss:0.16355942154768854\n","g_loss:[0.4997622, 0.47035217, 0.014705015]\n","Batch:26\n","d_loss_real:0.3258286118507385\n","d_loss_fake:1.0890992598433513e-05\n","d_loss_wrong:5.780113860964775e-05\n","d_loss:0.1629314789588534\n","g_loss:[0.44340223, 0.41374904, 0.014826593]\n","Batch:27\n","d_loss_real:0.3271556496620178\n","d_loss_fake:0.0006771714542992413\n","d_loss_wrong:5.9568519645836204e-06\n","d_loss:0.16374860690848436\n","g_loss:[0.37625945, 0.34649658, 0.014881437]\n","Batch:28\n","d_loss_real:0.3264966905117035\n","d_loss_fake:4.0648930735187605e-05\n","d_loss_wrong:4.3387349251133855e-06\n","d_loss:0.16325959217192576\n","g_loss:[0.37436473, 0.34456986, 0.014897433]\n","Batch:29\n","d_loss_real:0.3260168433189392\n","d_loss_fake:0.0007186233997344971\n","d_loss_wrong:3.384741285117343e-05\n","d_loss:0.16319653936079703\n","g_loss:[0.3695264, 0.3397636, 0.01488139]\n","Batch:30\n","d_loss_real:0.3264331817626953\n","d_loss_fake:0.0013491346035152674\n","d_loss_wrong:1.2992323718208354e-05\n","d_loss:0.16355712260701694\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.3924668, 0.3627325, 0.014867161]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 985\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32603830099105835\n","d_loss_fake:2.5635956717451336e-06\n","d_loss_wrong:6.015087819832843e-06\n","d_loss:0.16302129516634523\n","g_loss:[0.48178145, 0.45211273, 0.014834359]\n","Batch:2\n","d_loss_real:0.3261522650718689\n","d_loss_fake:0.0004128684231545776\n","d_loss_wrong:4.3272275433992036e-06\n","d_loss:0.16318043144565308\n","g_loss:[0.3689092, 0.3391054, 0.014901906]\n","Batch:3\n","d_loss_real:0.32560476660728455\n","d_loss_fake:6.756759830750525e-05\n","d_loss_wrong:1.3882774510420859e-05\n","d_loss:0.16282274589684675\n","g_loss:[0.36202374, 0.3321759, 0.014923911]\n","Batch:4\n","d_loss_real:0.3288151025772095\n","d_loss_fake:0.00018011927022598684\n","d_loss_wrong:2.1022880901000462e-05\n","d_loss:0.16445783682502224\n","g_loss:[0.3583901, 0.32854423, 0.014922926]\n","Batch:5\n","d_loss_real:0.3253783583641052\n","d_loss_fake:2.968045464513125e-06\n","d_loss_wrong:3.1152756037045037e-06\n","d_loss:0.16269070001226282\n","g_loss:[0.37496305, 0.34514636, 0.014908349]\n","Batch:6\n","d_loss_real:0.3256526589393616\n","d_loss_fake:2.387595714026247e-06\n","d_loss_wrong:5.031167347624432e-06\n","d_loss:0.16282818416038936\n","g_loss:[0.39259127, 0.36281633, 0.014887464]\n","Batch:7\n","d_loss_real:0.3254144489765167\n","d_loss_fake:7.388822268694639e-05\n","d_loss_wrong:6.17641126154922e-05\n","d_loss:0.16274113757390296\n","g_loss:[0.38266826, 0.3529055, 0.014881372]\n","Batch:8\n","d_loss_real:0.32605308294296265\n","d_loss_fake:1.0536086847423576e-05\n","d_loss_wrong:0.00010410022514406592\n","d_loss:0.16305520054993394\n","g_loss:[0.35635722, 0.32661843, 0.014869395]\n","Batch:9\n","d_loss_real:0.32633042335510254\n","d_loss_fake:0.003966721706092358\n","d_loss_wrong:7.75981050082919e-07\n","d_loss:0.16415708605200052\n","g_loss:[0.35699642, 0.32729623, 0.0148501005]\n","Batch:10\n","d_loss_real:0.32580143213272095\n","d_loss_fake:1.0015975021815393e-05\n","d_loss_wrong:1.29683903651312e-05\n","d_loss:0.16290646215747984\n","g_loss:[0.40735006, 0.37769923, 0.014825419]\n","Batch:11\n","d_loss_real:0.3254270553588867\n","d_loss_fake:1.7324882151115162e-07\n","d_loss_wrong:3.821442442131229e-05\n","d_loss:0.16272312459750538\n","g_loss:[0.38067222, 0.3509849, 0.014843655]\n","Batch:12\n","d_loss_real:0.3261045217514038\n","d_loss_fake:4.729575084638782e-05\n","d_loss_wrong:2.3935954232001677e-06\n","d_loss:0.16306468321272405\n","g_loss:[0.43395826, 0.40430665, 0.014825812]\n","Batch:13\n","d_loss_real:0.3257828652858734\n","d_loss_fake:0.0009379467228427529\n","d_loss_wrong:2.8956936148460954e-05\n","d_loss:0.16313315855222754\n","g_loss:[0.36152047, 0.33174828, 0.014886099]\n","Batch:14\n","d_loss_real:0.3260214328765869\n","d_loss_fake:2.418865005893167e-05\n","d_loss_wrong:4.623588665708667e-06\n","d_loss:0.1630179194980883\n","g_loss:[1.8931147, 1.8633025, 0.014906113]\n","Batch:15\n","d_loss_real:0.3258463740348816\n","d_loss_fake:9.911930828820914e-05\n","d_loss_wrong:1.0135032425750978e-05\n","d_loss:0.16295050060216454\n","g_loss:[0.99182546, 0.96018714, 0.015819173]\n","Batch:16\n","d_loss_real:0.32620254158973694\n","d_loss_fake:0.03214758262038231\n","d_loss_wrong:1.307039838138735e-06\n","d_loss:0.17113849334418774\n","g_loss:[7.6093044, 7.577024, 0.016140122]\n","Batch:17\n","d_loss_real:0.32628828287124634\n","d_loss_fake:0.0004322600143495947\n","d_loss_wrong:1.910435821628198e-05\n","d_loss:0.16325698253058363\n","g_loss:[4.009906, 3.9784691, 0.015718423]\n","Batch:18\n","d_loss_real:0.3316526412963867\n","d_loss_fake:0.0011757445754483342\n","d_loss_wrong:5.656187113345368e-06\n","d_loss:0.166121670830762\n","g_loss:[1.7040029, 1.6730053, 0.01549875]\n","Batch:19\n","d_loss_real:0.3280324935913086\n","d_loss_fake:0.011073097586631775\n","d_loss_wrong:3.538731562002795e-06\n","d_loss:0.16678540594875813\n","g_loss:[2.0237765, 1.9927908, 0.0154928025]\n","Batch:20\n","d_loss_real:0.33037617802619934\n","d_loss_fake:0.060192905366420746\n","d_loss_wrong:1.4861369663776713e-06\n","d_loss:0.18023668695241213\n","g_loss:[9.760084, 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0.014650452]\n","Batch:25\n","d_loss_real:0.3459116816520691\n","d_loss_fake:1.9088769477093592e-05\n","d_loss_wrong:0.0004698385309893638\n","d_loss:0.17307807265024167\n","g_loss:[8.395661, 8.366673, 0.014494011]\n","Batch:26\n","d_loss_real:0.36707037687301636\n","d_loss_fake:2.4775526981102303e-05\n","d_loss_wrong:0.00042932209908030927\n","d_loss:0.18364871284575202\n","g_loss:[8.014179, 7.9854403, 0.014369473]\n","Batch:27\n","d_loss_real:0.3503049314022064\n","d_loss_fake:0.0004831946571357548\n","d_loss_wrong:0.00022706612071488053\n","d_loss:0.1753300308919279\n","g_loss:[5.0999813, 5.071521, 0.014230132]\n","Batch:28\n","d_loss_real:0.3344317376613617\n","d_loss_fake:0.00047120917588472366\n","d_loss_wrong:6.731211033184081e-05\n","d_loss:0.167350499148597\n","g_loss:[6.5500355, 6.5215654, 0.014235139]\n","Batch:29\n","d_loss_real:0.3449109196662903\n","d_loss_fake:0.004429875407367945\n","d_loss_wrong:0.0001618829119252041\n","d_loss:0.17360339942388237\n","g_loss:[5.324179, 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0.01521333]\n","Batch:4\n","d_loss_real:0.3377881646156311\n","d_loss_fake:0.0004925817484036088\n","d_loss_wrong:0.00013011728879064322\n","d_loss:0.16904975706711411\n","g_loss:[3.8755555, 3.8450902, 0.01523267]\n","Batch:5\n","d_loss_real:0.3293406069278717\n","d_loss_fake:0.00029475591145455837\n","d_loss_wrong:2.842152025550604e-05\n","d_loss:0.16475109782186337\n","g_loss:[4.873801, 4.8431067, 0.015347257]\n","Batch:6\n","d_loss_real:0.3398091793060303\n","d_loss_fake:0.0035750828683376312\n","d_loss_wrong:0.00020663785107899457\n","d_loss:0.17085001984378323\n","g_loss:[2.7951152, 2.7659078, 0.014603788]\n","Batch:7\n","d_loss_real:0.3351593017578125\n","d_loss_fake:0.007426409516483545\n","d_loss_wrong:2.1408824977697805e-05\n","d_loss:0.16944160545244813\n","g_loss:[3.8679013, 3.8394012, 0.01425005]\n","Batch:8\n","d_loss_real:0.3310961127281189\n","d_loss_fake:0.05159776285290718\n","d_loss_wrong:6.53123133815825e-05\n","d_loss:0.1784638250246644\n","g_loss:[2.8042188, 2.7757592, 0.014229733]\n","Batch:9\n","d_loss_real:0.3543621003627777\n","d_loss_fake:0.00018935708794742823\n","d_loss_wrong:8.041760156629607e-05\n","d_loss:0.17724849385558628\n","g_loss:[3.248263, 3.2198112, 0.014225805]\n","Batch:10\n","d_loss_real:0.3319895267486572\n","d_loss_fake:0.0034932084381580353\n","d_loss_wrong:0.00012698437785729766\n","d_loss:0.16689981159288436\n","g_loss:[1.4383134, 1.4098132, 0.014250094]\n","Batch:11\n","d_loss_real:0.33833903074264526\n","d_loss_fake:0.007380298338830471\n","d_loss_wrong:1.4103435205470305e-05\n","d_loss:0.17101811582688242\n","g_loss:[1.1854985, 1.1569889, 0.014254811]\n","Batch:12\n","d_loss_real:0.3294611871242523\n","d_loss_fake:0.004317821003496647\n","d_loss_wrong:1.3202490663388744e-05\n","d_loss:0.16581334942020476\n","g_loss:[1.1963024, 1.167648, 0.0143272355]\n","Batch:13\n","d_loss_real:0.3305038809776306\n","d_loss_fake:0.0018035415560007095\n","d_loss_wrong:4.735658876597881e-05\n","d_loss:0.16571466502500698\n","g_loss:[0.9334158, 0.9043587, 0.014528552]\n","Batch:14\n","d_loss_real:0.3323022425174713\n","d_loss_fake:0.0005067450110800564\n","d_loss_wrong:1.0758850294223521e-05\n","d_loss:0.16628049722930882\n","g_loss:[5.354661, 5.3256125, 0.014524177]\n","Batch:15\n","d_loss_real:0.3371923863887787\n","d_loss_fake:0.0022784315515309572\n","d_loss_wrong:3.249217479606159e-05\n","d_loss:0.16917392413597554\n","g_loss:[2.4298677, 2.4035106, 0.013178637]\n","Batch:16\n","d_loss_real:0.33078092336654663\n","d_loss_fake:0.007659989409148693\n","d_loss_wrong:2.9941380489617586e-05\n","d_loss:0.16731294442433864\n","g_loss:[3.6178122, 3.5923073, 0.012752427]\n","Batch:17\n","d_loss_real:0.35228994488716125\n","d_loss_fake:0.02909545972943306\n","d_loss_wrong:5.406783020589501e-05\n","d_loss:0.18343235412612557\n","g_loss:[2.1385388, 2.1128564, 0.01284121]\n","Batch:18\n","d_loss_real:0.3281204104423523\n","d_loss_fake:0.0012429155176505446\n","d_loss_wrong:2.959387347800657e-05\n","d_loss:0.16437833255622536\n","g_loss:[0.8622094, 0.83634126, 0.0129340645]\n","Batch:19\n","d_loss_real:0.33185333013534546\n","d_loss_fake:2.4000389657885535e-06\n","d_loss_wrong:2.217467044829391e-05\n","d_loss:0.16593280874485572\n","g_loss:[0.97497123, 0.9489935, 0.012988873]\n","Batch:20\n","d_loss_real:0.33494898676872253\n","d_loss_fake:0.0038444814272224903\n","d_loss_wrong:5.846624480909668e-05\n","d_loss:0.16845023032510653\n","g_loss:[1.1277295, 1.1016157, 0.013056939]\n","Batch:21\n","d_loss_real:0.3357396125793457\n","d_loss_fake:0.0035629633348435163\n","d_loss_wrong:3.7546597013715655e-05\n","d_loss:0.1687699337489903\n","g_loss:[0.95224655, 0.9258499, 0.013198318]\n","Batch:22\n","d_loss_real:0.35066187381744385\n","d_loss_fake:1.6012529158615507e-05\n","d_loss_wrong:4.4890872231917456e-05\n","d_loss:0.1753461627595243\n","g_loss:[1.0183474, 0.9914778, 0.013434811]\n","Batch:23\n","d_loss_real:0.33198755979537964\n","d_loss_fake:0.002172201406210661\n","d_loss_wrong:1.4757022654521279e-05\n","d_loss:0.16654051950899884\n","g_loss:[0.44647396, 0.41808423, 0.014194858]\n","Batch:24\n","d_loss_real:0.3424689769744873\n","d_loss_fake:5.550423338718247e-06\n","d_loss_wrong:9.961058822227642e-06\n","d_loss:0.17123836635801126\n","g_loss:[0.41042197, 0.38124084, 0.014590554]\n","Batch:25\n","d_loss_real:0.3348919153213501\n","d_loss_fake:0.0004968851571902633\n","d_loss_wrong:3.8679274439346045e-05\n","d_loss:0.16757984877040144\n","g_loss:[0.41674247, 0.38717446, 0.014784003]\n","Batch:26\n","d_loss_real:0.33686691522598267\n","d_loss_fake:0.0013307888293638825\n","d_loss_wrong:4.793534390046261e-05\n","d_loss:0.168778138642665\n","g_loss:[0.37134156, 0.34160608, 0.014867743]\n","Batch:27\n","d_loss_real:0.3368169963359833\n","d_loss_fake:0.10627808421850204\n","d_loss_wrong:1.0709068192227278e-05\n","d_loss:0.1949806958436966\n","g_loss:[3.8844645, 3.8546815, 0.0148915425]\n","Batch:28\n","d_loss_real:0.3621954023838043\n","d_loss_fake:8.119791345961858e-06\n","d_loss_wrong:1.8236480173072778e-05\n","d_loss:0.1811042902600093\n","g_loss:[1.9896758, 1.959219, 0.015228404]\n","Batch:29\n","d_loss_real:0.37764182686805725\n","d_loss_fake:2.570860260675545e-06\n","d_loss_wrong:2.7847421733895317e-05\n","d_loss:0.18882851800435674\n","g_loss:[0.6505391, 0.61946166, 0.015538717]\n","Batch:30\n","d_loss_real:0.34256598353385925\n","d_loss_fake:1.0907749725674876e-07\n","d_loss_wrong:1.543672988191247e-05\n","d_loss:0.17128687821877975\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.90462697, 0.87300456, 0.015811201]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 987\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3498874008655548\n","d_loss_fake:1.176837400862496e-07\n","d_loss_wrong:5.093195795780048e-06\n","d_loss:0.1749450031526294\n","g_loss:[0.7387313, 0.70680404, 0.015963633]\n","Batch:2\n","d_loss_real:0.33204180002212524\n","d_loss_fake:1.05484114101273e-05\n","d_loss_wrong:8.70289295562543e-06\n","d_loss:0.1660257128369267\n","g_loss:[0.36709583, 0.33519825, 0.015948793]\n","Batch:3\n","d_loss_real:0.33993038535118103\n","d_loss_fake:0.0001930355210788548\n","d_loss_wrong:6.132155249360949e-05\n","d_loss:0.17002878194034565\n","g_loss:[0.36592972, 0.334096, 0.015916849]\n","Batch:4\n","d_loss_real:0.34099966287612915\n","d_loss_fake:0.005650776904076338\n","d_loss_wrong:9.779902029549703e-06\n","d_loss:0.17191497061867267\n","g_loss:[0.36409497, 0.33234078, 0.015877105]\n","Batch:5\n","d_loss_real:0.32864683866500854\n","d_loss_fake:0.012497084215283394\n","d_loss_wrong:3.5605028188001597e-06\n","d_loss:0.1674485804978758\n","g_loss:[0.37494564, 0.34327316, 0.015836244]\n","Batch:6\n","d_loss_real:0.3290438652038574\n","d_loss_fake:0.0001341399911325425\n","d_loss_wrong:1.8685879695112817e-05\n","d_loss:0.16456013907009037\n","g_loss:[0.45872712, 0.4271497, 0.015788708]\n","Batch:7\n","d_loss_real:0.3296012282371521\n","d_loss_fake:8.843870455166325e-05\n","d_loss_wrong:1.817774864321109e-05\n","d_loss:0.16482726823232952\n","g_loss:[0.417466, 0.38590252, 0.015781747]\n","Batch:8\n","d_loss_real:0.3294258117675781\n","d_loss_fake:8.521019481122494e-06\n","d_loss_wrong:2.846146708179731e-05\n","d_loss:0.16472215150497505\n","g_loss:[0.37046954, 0.33895594, 0.015756804]\n","Batch:9\n","d_loss_real:0.3366381824016571\n","d_loss_fake:3.568422016542172e-06\n","d_loss_wrong:4.791933679371141e-05\n","d_loss:0.16833196314019006\n","g_loss:[0.3619502, 0.33051023, 0.015719986]\n","Batch:10\n","d_loss_real:0.32889994978904724\n","d_loss_fake:2.7157289878232405e-05\n","d_loss_wrong:2.255515573779121e-05\n","d_loss:0.16446240300592763\n","g_loss:[0.35764325, 0.3262801, 0.015681576]\n","Batch:11\n","d_loss_real:0.33248671889305115\n","d_loss_fake:5.1599556172732264e-05\n","d_loss_wrong:1.1599442586884834e-05\n","d_loss:0.16625915919576073\n","g_loss:[0.3651752, 0.3338983, 0.015638445]\n","Batch:12\n","d_loss_real:0.32624855637550354\n","d_loss_fake:0.0003315949870739132\n","d_loss_wrong:4.256370630173478e-06\n","d_loss:0.1632082410287694\n","g_loss:[0.35697407, 0.32578143, 0.01559632]\n","Batch:13\n","d_loss_real:0.3293554484844208\n","d_loss_fake:0.0006483506294898689\n","d_loss_wrong:1.4074535101826768e-05\n","d_loss:0.16484333053813316\n","g_loss:[0.3619226, 0.3308184, 0.015552086]\n","Batch:14\n","d_loss_real:0.3296593427658081\n","d_loss_fake:0.0006688296562060714\n","d_loss_wrong:3.692089649121044e-06\n","d_loss:0.1649978018249385\n","g_loss:[0.3591833, 0.3281662, 0.0155085595]\n","Batch:15\n","d_loss_real:0.32738685607910156\n","d_loss_fake:2.3258230896772147e-07\n","d_loss_wrong:1.1637734132818878e-05\n","d_loss:0.16369639561867189\n","g_loss:[0.3678388, 0.3369096, 0.015464599]\n","Batch:16\n","d_loss_real:0.3273319900035858\n","d_loss_fake:6.662686473646318e-07\n","d_loss_wrong:1.5206901480269153e-05\n","d_loss:0.16366996329452377\n","g_loss:[0.35763323, 0.3267715, 0.01543087]\n","Batch:17\n","d_loss_real:0.32995539903640747\n","d_loss_fake:0.0002448016020935029\n","d_loss_wrong:2.7603315174928866e-05\n","d_loss:0.16504580074979458\n","g_loss:[0.38643956, 0.355654, 0.01539278]\n","Batch:18\n","d_loss_real:0.3273816704750061\n","d_loss_fake:0.0019585643894970417\n","d_loss_wrong:1.561884710099548e-05\n","d_loss:0.1641843810211867\n","g_loss:[0.3648325, 0.3340888, 0.015371847]\n","Batch:19\n","d_loss_real:0.32820823788642883\n","d_loss_fake:0.00010031203419202939\n","d_loss_wrong:9.025566214404535e-06\n","d_loss:0.1641314533426339\n","g_loss:[0.3756938, 0.3449801, 0.015356858]\n","Batch:20\n","d_loss_real:0.3315492570400238\n","d_loss_fake:1.056919245456811e-05\n","d_loss_wrong:2.3079193852026947e-05\n","d_loss:0.16578304061658855\n","g_loss:[0.3769766, 0.34627876, 0.015348921]\n","Batch:21\n","d_loss_real:0.3331054151058197\n","d_loss_fake:0.003647835459560156\n","d_loss_wrong:1.6559068171773106e-05\n","d_loss:0.16746880620485172\n","g_loss:[0.36836007, 0.3377015, 0.015329286]\n","Batch:22\n","d_loss_real:0.33595356345176697\n","d_loss_fake:6.750769534846768e-05\n","d_loss_wrong:3.111224577878602e-05\n","d_loss:0.1680014367120748\n","g_loss:[0.3804531, 0.3498433, 0.015304914]\n","Batch:23\n","d_loss_real:0.3262992203235626\n","d_loss_fake:4.3174826714675874e-05\n","d_loss_wrong:1.2508327017712872e-05\n","d_loss:0.16316353095044178\n","g_loss:[0.50492024, 0.4743851, 0.015267569]\n","Batch:24\n","d_loss_real:0.3291167616844177\n","d_loss_fake:0.002794496016576886\n","d_loss_wrong:7.791154530423228e-06\n","d_loss:0.16525895264931023\n","g_loss:[0.36187845, 0.33129805, 0.015290205]\n","Batch:25\n","d_loss_real:0.32642075419425964\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.453998710436281e-06\n","d_loss:0.16321176559677042\n","g_loss:[0.38146695, 0.3508927, 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0.0152203385]\n","Batch:30\n","d_loss_real:0.3387499451637268\n","d_loss_fake:1.988647909456631e-06\n","d_loss_wrong:5.4911488405196e-06\n","d_loss:0.1693768425310509\n","g_loss:[0.36130166, 0.3309225, 0.015189579]\n","========================================\n","Epoch is: 988\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.33004331588745117\n","d_loss_fake:0.00016282270371448249\n","d_loss_wrong:2.5116985398199176e-06\n","d_loss:0.16506299154571025\n","g_loss:[0.36006805, 0.32974148, 0.015163285]\n","Batch:2\n","d_loss_real:0.3295578360557556\n","d_loss_fake:0.000666846870444715\n","d_loss_wrong:6.133897841209546e-06\n","d_loss:0.16494716322631575\n","g_loss:[0.36288664, 0.33262643, 0.015130108]\n","Batch:3\n","d_loss_real:0.3318474292755127\n","d_loss_fake:0.006372666452080011\n","d_loss_wrong:3.9288563129957765e-05\n","d_loss:0.16752670344430953\n","g_loss:[0.36221105, 0.3320222, 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0.01519418]\n","Batch:12\n","d_loss_real:0.32684892416000366\n","d_loss_fake:1.97388862943626e-06\n","d_loss_wrong:3.810451289609773e-06\n","d_loss:0.1634259081649816\n","g_loss:[0.36521962, 0.33486965, 0.015174982]\n","Batch:13\n","d_loss_real:0.32628849148750305\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.682169209350832e-06\n","d_loss:0.16314644128601685\n","g_loss:[0.36028403, 0.3300162, 0.01513392]\n","Batch:14\n","d_loss_real:0.3267979919910431\n","d_loss_fake:1.4699387065775227e-05\n","d_loss_wrong:3.1698534712631954e-06\n","d_loss:0.16340346330571265\n","g_loss:[0.35706142, 0.32686162, 0.015099895]\n","Batch:15\n","d_loss_real:0.32681891322135925\n","d_loss_fake:0.0026576968375593424\n","d_loss_wrong:9.218026207236107e-06\n","d_loss:0.1640761853195727\n","g_loss:[0.39992273, 0.36979243, 0.015065156]\n","Batch:16\n","d_loss_real:0.32614222168922424\n","d_loss_fake:8.419701043749228e-05\n","d_loss_wrong:9.240528015652671e-06\n","d_loss:0.1630944702301349\n","g_loss:[0.41118887, 0.38100207, 0.015093404]\n","Batch:17\n","d_loss_real:0.32708925008773804\n","d_loss_fake:0.009516390040516853\n","d_loss_wrong:2.0499011952779256e-05\n","d_loss:0.1659288473892957\n","g_loss:[0.65397984, 0.623799, 0.015090406]\n","Batch:18\n","d_loss_real:0.3260548412799835\n","d_loss_fake:0.00015414180234074593\n","d_loss_wrong:1.544249607832171e-05\n","d_loss:0.16306981671368703\n","g_loss:[0.41646656, 0.38587284, 0.015296864]\n","Batch:19\n","d_loss_real:0.3268115222454071\n","d_loss_fake:0.0007324223406612873\n","d_loss_wrong:7.586973879369907e-06\n","d_loss:0.16359076344815549\n","g_loss:[0.39068913, 0.35991475, 0.01538719]\n","Batch:20\n","d_loss_real:0.3264285922050476\n","d_loss_fake:0.00016826626961119473\n","d_loss_wrong:1.3701923307962716e-05\n","d_loss:0.1632597881507536\n","g_loss:[0.38510734, 0.35428092, 0.015413204]\n","Batch:21\n","d_loss_real:0.3291841149330139\n","d_loss_fake:0.00023418695491272956\n","d_loss_wrong:1.4095716323936358e-05\n","d_loss:0.1646541281370446\n","g_loss:[0.36088705, 0.33005834, 0.015414363]\n","Batch:22\n","d_loss_real:0.32642069458961487\n","d_loss_fake:0.00012971922114957124\n","d_loss_wrong:3.1853534892434254e-05\n","d_loss:0.16325074048290844\n","g_loss:[0.3904084, 0.35961077, 0.015398821]\n","Batch:23\n","d_loss_real:0.3259756565093994\n","d_loss_fake:1.2697411875706166e-05\n","d_loss_wrong:1.6209694877034053e-05\n","d_loss:0.1629950550313879\n","g_loss:[3.1839817, 3.153151, 0.015415264]\n","Batch:24\n","d_loss_real:0.32571133971214294\n","d_loss_fake:0.008502395823597908\n","d_loss_wrong:5.146411240275484e-06\n","d_loss:0.16498255543410778\n","g_loss:[2.1753764, 2.1447625, 0.015306997]\n","Batch:25\n","d_loss_real:0.32652169466018677\n","d_loss_fake:0.012545543722808361\n","d_loss_wrong:3.0449198220594553e-06\n","d_loss:0.16639799438416958\n","g_loss:[1.9847468, 1.954113, 0.015316904]\n","Batch:26\n","d_loss_real:0.3261692523956299\n","d_loss_fake:1.3760643014393281e-05\n","d_loss_wrong:9.372382919536904e-06\n","d_loss:0.1630904094545258\n","g_loss:[1.7912043, 1.7606819, 0.015261255]\n","Batch:27\n","d_loss_real:0.32662323117256165\n","d_loss_fake:6.869721983093768e-05\n","d_loss_wrong:5.415261057351017e-06\n","d_loss:0.16333014370684396\n","g_loss:[0.64196694, 0.6099063, 0.01603031]\n","Batch:28\n","d_loss_real:0.3266683518886566\n","d_loss_fake:0.007364240940660238\n","d_loss_wrong:1.157238511950709e-05\n","d_loss:0.1651781293330714\n","g_loss:[2.8656378, 2.8328109, 0.016413487]\n","Batch:29\n","d_loss_real:0.33085840940475464\n","d_loss_fake:0.0003913925029337406\n","d_loss_wrong:5.807960405945778e-06\n","d_loss:0.16552850481821224\n","g_loss:[0.615196, 0.5815163, 0.016839841]\n","Batch:30\n","d_loss_real:0.3265840411186218\n","d_loss_fake:0.0001363754563499242\n","d_loss_wrong:2.3672744191571837e-06\n","d_loss:0.16332670624251477\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[1.5777227, 1.5436585, 0.017032104]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 989\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.34224992990493774\n","d_loss_fake:0.04955825209617615\n","d_loss_wrong:1.4383329016709467e-06\n","d_loss:0.1835148874670267\n","g_loss:[4.3066006, 4.272422, 0.01708926]\n","Batch:2\n","d_loss_real:0.3893802762031555\n","d_loss_fake:8.27592084533535e-05\n","d_loss_wrong:1.551936293253675e-05\n","d_loss:0.19471470774442423\n","g_loss:[0.5571796, 0.5222512, 0.017464193]\n","Batch:3\n","d_loss_real:0.33892762660980225\n","d_loss_fake:0.0012393839424476027\n","d_loss_wrong:2.5296983949374408e-05\n","d_loss:0.16977998352376744\n","g_loss:[0.46424603, 0.4288798, 0.017683115]\n","Batch:4\n","d_loss_real:0.3430090546607971\n","d_loss_fake:4.1762800151445845e-07\n","d_loss_wrong:3.6310686937213177e-06\n","d_loss:0.17150553950455105\n","g_loss:[0.51805604, 0.48248345, 0.017786304]\n","Batch:5\n","d_loss_real:0.32716065645217896\n","d_loss_fake:0.00013916923489887267\n","d_loss_wrong:1.853186631706194e-06\n","d_loss:0.16361558383141528\n","g_loss:[0.4085427, 0.37281027, 0.01786621]\n","Batch:6\n","d_loss_real:0.3273335099220276\n","d_loss_fake:2.639492777234409e-05\n","d_loss_wrong:1.365200660075061e-05\n","d_loss:0.16367676669506181\n","g_loss:[0.36681044, 0.3310388, 0.017885813]\n","Batch:7\n","d_loss_real:0.3263065814971924\n","d_loss_fake:0.0014365247916430235\n","d_loss_wrong:8.361336767848115e-06\n","d_loss:0.16351451227092184\n","g_loss:[0.3643981, 0.32865912, 0.017869491]\n","Batch:8\n","d_loss_real:0.3295934200286865\n","d_loss_fake:0.0002815895131789148\n","d_loss_wrong:1.1485626600915566e-05\n","d_loss:0.16486997879837872\n","g_loss:[0.36928442, 0.33361435, 0.017835032]\n","Batch:9\n","d_loss_real:0.32680365443229675\n","d_loss_fake:0.0032201907597482204\n","d_loss_wrong:1.2067134775861632e-05\n","d_loss:0.16420989169273525\n","g_loss:[0.36829033, 0.33271024, 0.017790051]\n","Batch:10\n","d_loss_real:0.32938915491104126\n","d_loss_fake:2.330909774173051e-05\n","d_loss_wrong:9.637676157581154e-06\n","d_loss:0.16470281414876808\n","g_loss:[0.4545179, 0.419029, 0.017744446]\n","Batch:11\n","d_loss_real:0.3285169005393982\n","d_loss_fake:0.0003628228441812098\n","d_loss_wrong:6.864335773570929e-06\n","d_loss:0.1643508720662794\n","g_loss:[0.38737544, 0.35201794, 0.017678756]\n","Batch:12\n","d_loss_real:0.3277968764305115\n","d_loss_fake:5.061495812697103e-06\n","d_loss_wrong:5.314864210959058e-06\n","d_loss:0.16390103230514796\n","g_loss:[0.36850667, 0.33325136, 0.01762765]\n","Batch:13\n","d_loss_real:0.32643359899520874\n","d_loss_fake:3.430976448726142e-06\n","d_loss_wrong:2.7630671866063494e-06\n","d_loss:0.1632183480085132\n","g_loss:[0.36693856, 0.33179626, 0.017571153]\n","Batch:14\n","d_loss_real:0.3320232331752777\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.7263022275292315e-06\n","d_loss:0.16601232316321557\n","g_loss:[0.37400812, 0.33897373, 0.01751719]\n","Batch:15\n","d_loss_real:0.3273863196372986\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.89108355800272e-06\n","d_loss:0.16369490758950178\n","g_loss:[0.36925462, 0.3343385, 0.01745806]\n","Batch:16\n","d_loss_real:0.32631826400756836\n","d_loss_fake:0.011384168639779091\n","d_loss_wrong:1.2591535778483376e-05\n","d_loss:0.16600832203403115\n","g_loss:[0.43584326, 0.40104836, 0.017397452]\n","Batch:17\n","d_loss_real:0.32542362809181213\n","d_loss_fake:1.2825325029552914e-05\n","d_loss_wrong:1.4190443835104816e-05\n","d_loss:0.16271856798812223\n","g_loss:[0.6265862, 0.5918708, 0.017357722]\n","Batch:18\n","d_loss_real:0.32656508684158325\n","d_loss_fake:0.0013275102246552706\n","d_loss_wrong:9.108459380513523e-06\n","d_loss:0.1636166980897542\n","g_loss:[0.39217034, 0.3571636, 0.017503364]\n","Batch:19\n","d_loss_real:0.3286629021167755\n","d_loss_fake:2.1157424271223135e-05\n","d_loss_wrong:3.0561031962861307e-06\n","d_loss:0.164337504440482\n","g_loss:[0.41070706, 0.37558207, 0.017562492]\n","Batch:20\n","d_loss_real:0.32630282640457153\n","d_loss_fake:5.413995677372441e-05\n","d_loss_wrong:4.2958781705237925e-06\n","d_loss:0.16316602216102183\n","g_loss:[0.36157045, 0.3264738, 0.017548326]\n","Batch:21\n","d_loss_real:0.33140066266059875\n","d_loss_fake:0.001595609588548541\n","d_loss_wrong:4.941477072861744e-06\n","d_loss:0.1661004690977279\n","g_loss:[0.39198717, 0.35694772, 0.017519724]\n","Batch:22\n","d_loss_real:0.3269692063331604\n","d_loss_fake:1.61636037887547e-07\n","d_loss_wrong:1.3502778529073112e-05\n","d_loss:0.16348801927028944\n","g_loss:[0.4881998, 0.4532095, 0.01749516]\n","Batch:23\n","d_loss_real:0.3290614187717438\n","d_loss_fake:0.000251986610237509\n","d_loss_wrong:1.981834247999359e-05\n","d_loss:0.16459866062359652\n","g_loss:[0.36458707, 0.32969862, 0.01744422]\n","Batch:24\n","d_loss_real:0.3271905779838562\n","d_loss_fake:7.478428597096354e-05\n","d_loss_wrong:3.989394826930948e-06\n","d_loss:0.16361498241167283\n","g_loss:[0.36758938, 0.3327976, 0.017395902]\n","Batch:25\n","d_loss_real:0.3264918327331543\n","d_loss_fake:0.00023778105969540775\n","d_loss_wrong:2.1679647943528835e-06\n","d_loss:0.16330590362122166\n","g_loss:[0.36480102, 0.33010182, 0.017349605]\n","Batch:26\n","d_loss_real:0.32707586884498596\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.93801734491717e-06\n","d_loss:0.1635401939267922\n","g_loss:[0.39086783, 0.3562664, 0.017300714]\n","Batch:27\n","d_loss_real:0.3263323903083801\n","d_loss_fake:0.00014351318532135338\n","d_loss_wrong:3.905913672497263e-06\n","d_loss:0.16320304992768797\n","g_loss:[0.36634755, 0.33177194, 0.017287802]\n","Batch:28\n","d_loss_real:0.3264610767364502\n","d_loss_fake:0.0012552626430988312\n","d_loss_wrong:1.8706561604631133e-05\n","d_loss:0.16354903066530824\n","g_loss:[0.36174965, 0.32723725, 0.017256197]\n","Batch:29\n","d_loss_real:0.32973387837409973\n","d_loss_fake:0.00022952709696255624\n","d_loss_wrong:7.0767905526736286e-06\n","d_loss:0.16492609015767812\n","g_loss:[0.3663092, 0.33188134, 0.017213922]\n","Batch:30\n","d_loss_real:0.3270135521888733\n","d_loss_fake:0.0002057648089248687\n","d_loss_wrong:1.8292082586413017e-06\n","d_loss:0.16355867459787987\n","g_loss:[0.36932778, 0.33499092, 0.017168432]\n","========================================\n","Epoch is: 990\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32764458656311035\n","d_loss_fake:0.00018381516565568745\n","d_loss_wrong:1.3303209698278806e-06\n","d_loss:0.16386857965335366\n","g_loss:[0.3862086, 0.3519505, 0.017129043]\n","Batch:2\n","d_loss_real:0.33459368348121643\n","d_loss_fake:5.525439519260544e-06\n","d_loss_wrong:6.746567578375107e-06\n","d_loss:0.16729990974226894\n","g_loss:[0.4833169, 0.44916505, 0.01707592]\n","Batch:3\n","d_loss_real:0.3605504035949707\n","d_loss_fake:0.0008251421386376023\n","d_loss_wrong:1.573777262819931e-05\n","d_loss:0.1804854217771208\n","g_loss:[0.36554837, 0.33162233, 0.016963016]\n","Batch:4\n","d_loss_real:0.3262536823749542\n","d_loss_fake:0.0014707834925502539\n","d_loss_wrong:3.312026365165366e-06\n","d_loss:0.16349536506459117\n","g_loss:[0.3649324, 0.33116108, 0.016885657]\n","Batch:5\n","d_loss_real:0.32759127020835876\n","d_loss_fake:4.63269607280381e-05\n","d_loss_wrong:1.7045165350282332e-06\n","d_loss:0.163807642973552\n","g_loss:[0.3650921, 0.33143523, 0.016828435]\n","Batch:6\n","d_loss_real:0.33051738142967224\n","d_loss_fake:0.00031172207673080266\n","d_loss_wrong:1.5704006727901287e-05\n","d_loss:0.16534054723888403\n","g_loss:[0.36540562, 0.33184743, 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0.016620155]\n","Batch:11\n","d_loss_real:0.32617324590682983\n","d_loss_fake:0.012215807102620602\n","d_loss_wrong:4.786570116266375e-06\n","d_loss:0.16614177147857845\n","g_loss:[0.58729696, 0.5541079, 0.016594533]\n","Batch:12\n","d_loss_real:0.3300730884075165\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.8721070672618225e-06\n","d_loss:0.16503803723048804\n","g_loss:[1.987833, 1.9546425, 0.01659524]\n","Batch:13\n","d_loss_real:0.3258598744869232\n","d_loss_fake:0.000270035961875692\n","d_loss_wrong:2.300225787621457e-06\n","d_loss:0.16299802128924057\n","g_loss:[0.76665944, 0.733615, 0.016522229]\n","Batch:14\n","d_loss_real:0.3256779611110687\n","d_loss_fake:0.0011955930385738611\n","d_loss_wrong:2.5397057470399886e-06\n","d_loss:0.16313851374434307\n","g_loss:[0.41393864, 0.38071656, 0.016611043]\n","Batch:15\n","d_loss_real:0.3286801874637604\n","d_loss_fake:0.004034279379993677\n","d_loss_wrong:7.219827693916159e-06\n","d_loss:0.1653504684800282\n","g_loss:[0.4094581, 0.37614384, 0.016657135]\n","Batch:16\n","d_loss_real:0.32700544595718384\n","d_loss_fake:0.0005547924665734172\n","d_loss_wrong:1.0957952326862141e-05\n","d_loss:0.1636441605805885\n","g_loss:[0.3769424, 0.34361148, 0.016665455]\n","Batch:17\n","d_loss_real:0.3256610035896301\n","d_loss_fake:0.0007309775101020932\n","d_loss_wrong:1.3971934095025063e-05\n","d_loss:0.16301673915586434\n","g_loss:[0.39533412, 0.3619966, 0.016668769]\n","Batch:18\n","d_loss_real:0.3277592062950134\n","d_loss_fake:0.00015852469368837774\n","d_loss_wrong:1.4388861018233001e-05\n","d_loss:0.16392283153618337\n","g_loss:[0.41092098, 0.37760112, 0.016659923]\n","Batch:19\n","d_loss_real:0.3267391324043274\n","d_loss_fake:0.004766629543155432\n","d_loss_wrong:2.366045919188764e-06\n","d_loss:0.16456181509420276\n","g_loss:[0.3797579, 0.34633887, 0.016709518]\n","Batch:20\n","d_loss_real:0.32878726720809937\n","d_loss_fake:0.0014639344299212098\n","d_loss_wrong:3.599182946345536e-06\n","d_loss:0.16476051701465622\n","g_loss:[0.3814525, 0.34800735, 0.016722579]\n","Batch:21\n","d_loss_real:0.3301727771759033\n","d_loss_fake:0.00011623035970842466\n","d_loss_wrong:4.738682491733925e-06\n","d_loss:0.1651166308492975\n","g_loss:[0.590707, 0.55727136, 0.016717827]\n","Batch:22\n","d_loss_real:0.325517475605011\n","d_loss_fake:0.0008992835064418614\n","d_loss_wrong:1.2373704521451145e-05\n","d_loss:0.1629866521107033\n","g_loss:[0.39569047, 0.36237666, 0.0166569]\n","Batch:23\n","d_loss_real:0.3257831037044525\n","d_loss_fake:0.0001144842681242153\n","d_loss_wrong:1.6150159353855997e-05\n","d_loss:0.16292421046091476\n","g_loss:[0.4188071, 0.3855164, 0.01664535]\n","Batch:24\n","d_loss_real:0.32831907272338867\n","d_loss_fake:0.0016516518080607057\n","d_loss_wrong:3.978928816650296e-06\n","d_loss:0.1645734440535307\n","g_loss:[0.37389955, 0.34061885, 0.016640346]\n","Batch:25\n","d_loss_real:0.32636913657188416\n","d_loss_fake:0.0005736785242334008\n","d_loss_wrong:1.6795961528259795e-06\n","d_loss:0.16332840781251434\n","g_loss:[0.50710887, 0.47381744, 0.016645718]\n","Batch:26\n","d_loss_real:0.32638615369796753\n","d_loss_fake:0.00016961037181317806\n","d_loss_wrong:9.118905836658087e-06\n","d_loss:0.1632377591668046\n","g_loss:[0.38581762, 0.3524487, 0.016684458]\n","Batch:27\n","d_loss_real:0.325739324092865\n","d_loss_fake:0.00021460936113726348\n","d_loss_wrong:3.054520220757695e-06\n","d_loss:0.1629240780166583\n","g_loss:[0.36144543, 0.3279492, 0.01674812]\n","Batch:28\n","d_loss_real:0.32547977566719055\n","d_loss_fake:0.00032095122151076794\n","d_loss_wrong:1.8961354726343416e-05\n","d_loss:0.1628248659762903\n","g_loss:[0.39123368, 0.35770482, 0.016764428]\n","Batch:29\n","d_loss_real:0.3280184864997864\n","d_loss_fake:0.00012407731264829636\n","d_loss_wrong:1.2956502359884325e-05\n","d_loss:0.16404350170341786\n","g_loss:[0.37036315, 0.3368764, 0.016743382]\n","Batch:30\n","d_loss_real:0.32656535506248474\n","d_loss_fake:0.0008640354499220848\n","d_loss_wrong:1.839262040448375e-06\n","d_loss:0.16349914620514028\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.36277825, 0.32931647, 0.016730892]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 991\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3274070620536804\n","d_loss_fake:0.013302862644195557\n","d_loss_wrong:1.5533278201473877e-06\n","d_loss:0.1670296350494027\n","g_loss:[1.3801564, 1.3467435, 0.016706463]\n","Batch:2\n","d_loss_real:0.3282838761806488\n","d_loss_fake:4.9558671889826655e-05\n","d_loss_wrong:8.569117198931053e-06\n","d_loss:0.1641564700375966\n","g_loss:[2.021664, 1.9887276, 0.016468143]\n","Batch:3\n","d_loss_real:0.33158618211746216\n","d_loss_fake:0.0001745539775583893\n","d_loss_wrong:6.301059329416603e-06\n","d_loss:0.16583830481977202\n","g_loss:[1.4855694, 1.4514301, 0.01706966]\n","Batch:4\n","d_loss_real:0.3671024441719055\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.4302864858327666e-06\n","d_loss:0.18355185465759405\n","g_loss:[2.9362664, 2.9010272, 0.017619643]\n","Batch:5\n","d_loss_real:0.3344070613384247\n","d_loss_fake:0.0006354741635732353\n","d_loss_wrong:2.287396910105599e-06\n","d_loss:0.16736297105671838\n","g_loss:[0.5718832, 0.5331621, 0.01936053]\n","Batch:6\n","d_loss_real:0.33064430952072144\n","d_loss_fake:0.009616399183869362\n","d_loss_wrong:1.1257598089287058e-05\n","d_loss:0.16772906901314855\n","g_loss:[2.100913, 2.0598834, 0.020514825]\n","Batch:7\n","d_loss_real:0.3303667902946472\n","d_loss_fake:0.0055546751245856285\n","d_loss_wrong:8.979335689218715e-06\n","d_loss:0.1665743087651208\n","g_loss:[0.67496663, 0.63259596, 0.02118535]\n","Batch:8\n","d_loss_real:0.3316926062107086\n","d_loss_fake:0.002825023839250207\n","d_loss_wrong:9.569088433636352e-06\n","d_loss:0.16655495134182274\n","g_loss:[0.48495325, 0.44190893, 0.02152217]\n","Batch:9\n","d_loss_real:0.3314096927642822\n","d_loss_fake:0.004277884028851986\n","d_loss_wrong:8.523848009645008e-06\n","d_loss:0.16677644837182015\n","g_loss:[0.65267915, 0.6093191, 0.021680031]\n","Batch:10\n","d_loss_real:0.33481264114379883\n","d_loss_fake:0.0004543366958387196\n","d_loss_wrong:2.209061676694546e-06\n","d_loss:0.16752045701286988\n","g_loss:[1.0858743, 1.0422376, 0.021818362]\n","Batch:11\n","d_loss_real:0.32782119512557983\n","d_loss_fake:0.0034370552748441696\n","d_loss_wrong:4.0390532376477495e-06\n","d_loss:0.1647708711680025\n","g_loss:[0.6011754, 0.5576896, 0.021742916]\n","Batch:12\n","d_loss_real:0.32681164145469666\n","d_loss_fake:0.0017267698422074318\n","d_loss_wrong:5.7190400184481405e-06\n","d_loss:0.1638389429426752\n","g_loss:[0.5163054, 0.47285748, 0.02172396]\n","Batch:13\n","d_loss_real:0.33323103189468384\n","d_loss_fake:0.007861747406423092\n","d_loss_wrong:2.325010427739471e-06\n","d_loss:0.16858153394423425\n","g_loss:[0.685054, 0.64158475, 0.021734627]\n","Batch:14\n","d_loss_real:0.3300913870334625\n","d_loss_fake:1.872247423762019e-07\n","d_loss_wrong:4.744533271150431e-06\n","d_loss:0.16504692645628438\n","g_loss:[0.82778335, 0.7842334, 0.021774992]\n","Batch:15\n","d_loss_real:0.33027133345603943\n","d_loss_fake:0.0004555423802230507\n","d_loss_wrong:6.732271231157938e-06\n","d_loss:0.16525123539031483\n","g_loss:[0.4395019, 0.39598227, 0.021759817]\n","Batch:16\n","d_loss_real:0.3269360661506653\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.608993423171341e-06\n","d_loss:0.16347046032365142\n","g_loss:[0.38210812, 0.33857393, 0.021767095]\n","Batch:17\n","d_loss_real:0.326516330242157\n","d_loss_fake:0.004268714226782322\n","d_loss_wrong:6.463517365773441e-06\n","d_loss:0.16432695952244103\n","g_loss:[0.8027684, 0.75928956, 0.021739414]\n","Batch:18\n","d_loss_real:0.33059531450271606\n","d_loss_fake:0.006572677753865719\n","d_loss_wrong:5.119125034980243e-06\n","d_loss:0.1669421064434573\n","g_loss:[1.0467788, 1.003079, 0.02184989]\n","Batch:19\n","d_loss_real:0.3302539885044098\n","d_loss_fake:5.354102086130297e-06\n","d_loss_wrong:1.3719511571252951e-06\n","d_loss:0.16512867576557255\n","g_loss:[0.688443, 0.64390934, 0.022266826]\n","Batch:20\n","d_loss_real:0.3285919725894928\n","d_loss_fake:0.026397641748189926\n","d_loss_wrong:1.089497914108506e-06\n","d_loss:0.17089566914364696\n","g_loss:[4.6528125, 4.6073403, 0.022736154]\n","Batch:21\n","d_loss_real:0.3462940752506256\n","d_loss_fake:0.00017713304259814322\n","d_loss_wrong:2.5608342184568755e-06\n","d_loss:0.17319196109383483\n","g_loss:[2.920637, 2.8745666, 0.023035154]\n","Batch:22\n","d_loss_real:0.4141436517238617\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.986386430682614e-05\n","d_loss:0.20709681682819792\n","g_loss:[2.3074248, 2.261795, 0.022814915]\n","Batch:23\n","d_loss_real:0.3607659935951233\n","d_loss_fake:0.2957865297794342\n","d_loss_wrong:3.559100878192112e-05\n","d_loss:0.2543385252356529\n","g_loss:[14.549729, 14.506285, 0.021722179]\n","Batch:24\n","d_loss_real:0.6456401944160461\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.637342448811978e-05\n","d_loss:0.32283671556433546\n","g_loss:[14.5487385, 14.506285, 0.021226918]\n","Batch:25\n","d_loss_real:0.4378802180290222\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.21406249795109e-05\n","d_loss:0.21895816917094635\n","g_loss:[14.548217, 14.506285, 0.020966278]\n","Batch:26\n","d_loss_real:0.3429078459739685\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.250723137985915e-05\n","d_loss:0.17147207479501958\n","g_loss:[14.5479, 14.506285, 0.020807546]\n","Batch:27\n","d_loss_real:0.3653692305088043\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.86524173640646e-05\n","d_loss:0.18270930335893354\n","g_loss:[14.54768, 14.506285, 0.02069757]\n","Batch:28\n","d_loss_real:0.3427289128303528\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.787909033941105e-05\n","d_loss:0.1713714511879516\n","g_loss:[14.547503, 14.506285, 0.020609269]\n","Batch:29\n","d_loss_real:0.33778220415115356\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.273059549741447e-05\n","d_loss:0.1689143097246415\n","g_loss:[14.547347, 14.506285, 0.020531198]\n","Batch:30\n","d_loss_real:0.34553271532058716\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.0354635378462262e-05\n","d_loss:0.17276897131910118\n","g_loss:[14.547205, 14.506285, 0.020460349]\n","========================================\n","Epoch is: 992\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3312320113182068\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.8507353161112405e-05\n","d_loss:0.16562065749758403\n","g_loss:[14.547069, 14.506285, 0.020391995]\n","Batch:2\n","d_loss_real:0.32944852113723755\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.1230078598600812e-05\n","d_loss:0.1647270930882314\n","g_loss:[14.546936, 14.506285, 0.020325467]\n","Batch:3\n","d_loss_real:0.3399111032485962\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.00016760994913056493\n","d_loss:0.1699974791117711\n","g_loss:[14.546807, 14.506285, 0.020261373]\n","Batch:4\n","d_loss_real:0.3410934805870056\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.1368828381819185e-05\n","d_loss:0.17054960750056125\n","g_loss:[14.546679, 14.506285, 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0.019639548]\n","Batch:14\n","d_loss_real:0.34120041131973267\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.6715879610273987e-05\n","d_loss:0.17060440962995926\n","g_loss:[14.545444, 14.506285, 0.019579545]\n","Batch:15\n","d_loss_real:0.3412361741065979\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.768547559157014e-05\n","d_loss:0.1706400334223872\n","g_loss:[14.545324, 14.506285, 0.019520026]\n","Batch:16\n","d_loss_real:0.33286523818969727\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.8251764888409525e-05\n","d_loss:0.1664397070362611\n","g_loss:[14.545205, 14.506285, 0.019460406]\n","Batch:17\n","d_loss_real:0.3332582414150238\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.00012761808466166258\n","d_loss:0.16666105022886768\n","g_loss:[14.54509, 14.506285, 0.019402489]\n","Batch:18\n","d_loss_real:0.35795849561691284\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.4277246009442024e-05\n","d_loss:0.17898284211992177\n","g_loss:[14.544973, 14.506285, 0.019344565]\n","Batch:19\n","d_loss_real:0.3374778628349304\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.00013269561168272048\n","d_loss:0.16877213032057625\n","g_loss:[14.544856, 14.506285, 0.019285807]\n","Batch:20\n","d_loss_real:0.3278754651546478\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.665971831243951e-05\n","d_loss:0.16394192250709239\n","g_loss:[14.544741, 14.506285, 0.019228026]\n","Batch:21\n","d_loss_real:0.3296205699443817\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.5928355423966423e-05\n","d_loss:0.1648142920612372\n","g_loss:[14.544627, 14.506285, 0.019171083]\n","Batch:22\n","d_loss_real:0.34620609879493713\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.938127312925644e-05\n","d_loss:0.17311541971594124\n","g_loss:[14.544514, 14.506285, 0.019114485]\n","Batch:23\n","d_loss_real:0.33940181136131287\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.697142114513554e-05\n","d_loss:0.16971517353613308\n","g_loss:[14.544401, 14.506285, 0.01905808]\n","Batch:24\n","d_loss_real:0.3377261459827423\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.26116023643408e-05\n","d_loss:0.1688712508921526\n","g_loss:[14.54429, 14.506285, 0.01900224]\n","Batch:25\n","d_loss_real:0.341077983379364\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.014507092302665e-05\n","d_loss:0.17054655295760313\n","g_loss:[14.544176, 14.506285, 0.018945722]\n","Batch:26\n","d_loss_real:0.3386758863925934\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.532324914587662e-05\n","d_loss:0.16935429900877352\n","g_loss:[14.544064, 14.506285, 0.018889483]\n","Batch:27\n","d_loss_real:0.3343961834907532\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.807847967138514e-05\n","d_loss:0.1672151363654848\n","g_loss:[14.543955, 14.506285, 0.018835139]\n","Batch:28\n","d_loss_real:0.32747912406921387\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.981446495046839e-05\n","d_loss:0.1637570406510349\n","g_loss:[14.543845, 14.506285, 0.018780155]\n","Batch:29\n","d_loss_real:0.32907333970069885\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.911423457087949e-05\n","d_loss:0.1645489734091825\n","g_loss:[14.543734, 14.506285, 0.018724479]\n","Batch:30\n","d_loss_real:0.3296453058719635\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.7726464648148976e-05\n","d_loss:0.16482710955233415\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[14.543626, 14.506285, 0.018670399]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 993\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3276453912258148\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.7478643712820485e-05\n","d_loss:0.16382709027402598\n","g_loss:[14.543517, 14.506285, 0.01861611]\n","Batch:2\n","d_loss_real:0.32848936319351196\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.6811967725516297e-05\n","d_loss:0.16424890958887772\n","g_loss:[14.543409, 14.506285, 0.018562177]\n","Batch:3\n","d_loss_real:0.3321180045604706\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.573646144010127e-05\n","d_loss:0.16607796139578568\n","g_loss:[14.543304, 14.506285, 0.01850976]\n","Batch:4\n","d_loss_real:0.3262022137641907\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.707826054887846e-06\n","d_loss:0.16310330883857205\n","g_loss:[14.543198, 14.506285, 0.01845653]\n","Batch:5\n","d_loss_real:0.3273458778858185\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.038974581519142e-05\n","d_loss:0.1636905613795534\n","g_loss:[14.543095, 14.506285, 0.018405046]\n","Batch:6\n","d_loss_real:0.3290178179740906\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.711486927699298e-05\n","d_loss:0.1645332127045549\n","g_loss:[14.542988, 14.506285, 0.018351635]\n","Batch:7\n","d_loss_real:0.3273719847202301\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.029141902923584e-05\n","d_loss:0.16369859021506272\n","g_loss:[14.542883, 14.506285, 0.01829933]\n","Batch:8\n","d_loss_real:0.3317696154117584\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.989897130755708e-05\n","d_loss:0.16590480744889646\n","g_loss:[14.54278, 14.506285, 0.018247759]\n","Batch:9\n","d_loss_real:0.3278593420982361\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.4101685994537547e-05\n","d_loss:0.16393572147080704\n","g_loss:[14.542678, 14.506285, 0.018196587]\n","Batch:10\n","d_loss_real:0.3330875039100647\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.00013407498772721738\n","d_loss:0.16657729570215452\n","g_loss:[14.542575, 14.506285, 0.018145211]\n","Batch:11\n","d_loss_real:0.330461710691452\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.41504201060161e-05\n","d_loss:0.16523941795094288\n","g_loss:[14.542472, 14.506285, 0.018093485]\n","Batch:12\n","d_loss_real:0.33149251341819763\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.0340909031801857e-05\n","d_loss:0.16575136693654713\n","g_loss:[14.542373, 14.506285, 0.018044077]\n","Batch:13\n","d_loss_real:0.33143043518066406\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.674776235129684e-05\n","d_loss:0.16572442953111022\n","g_loss:[14.542272, 14.506285, 0.017993238]\n","Batch:14\n","d_loss_real:0.32813477516174316\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.3196968211559579e-05\n","d_loss:0.16407071182288746\n","g_loss:[14.542171, 14.506285, 0.017943123]\n","Batch:15\n","d_loss_real:0.3336692452430725\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.911743887234479e-05\n","d_loss:0.1668544269814447\n","g_loss:[14.542071, 14.506285, 0.01789336]\n","Batch:16\n","d_loss_real:0.32676011323928833\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.7569140002015047e-05\n","d_loss:0.16338697390483503\n","g_loss:[14.541971, 14.506285, 0.017843455]\n","Batch:17\n","d_loss_real:0.3294649124145508\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.235455218004063e-05\n","d_loss:0.16475556984551076\n","g_loss:[14.541875, 14.506285, 0.01779503]\n","Batch:18\n","d_loss_real:0.3270266652107239\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.923638572217897e-06\n","d_loss:0.16351583851496798\n","g_loss:[14.541778, 14.506285, 0.017746523]\n","Batch:19\n","d_loss_real:0.3419731855392456\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.4567492295755073e-05\n","d_loss:0.1709977596428871\n","g_loss:[14.541679, 14.506285, 0.017697213]\n","Batch:20\n","d_loss_real:0.3291960656642914\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.6626254364382476e-05\n","d_loss:0.16460221439592715\n","g_loss:[14.541582, 14.506285, 0.01764876]\n","Batch:21\n","d_loss_real:0.32856321334838867\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.4253590961743612e-05\n","d_loss:0.16428519507189776\n","g_loss:[14.541487, 14.506285, 0.017600978]\n","Batch:22\n","d_loss_real:0.33787402510643005\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.475434252526611e-05\n","d_loss:0.1689482261390367\n","g_loss:[14.541391, 14.506285, 0.01755345]\n","Batch:23\n","d_loss_real:0.3263768255710602\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.703377246391028e-05\n","d_loss:0.16320269622883643\n","g_loss:[14.541297, 14.506285, 0.017506056]\n","Batch:24\n","d_loss_real:0.32989034056663513\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.210299473721534e-05\n","d_loss:0.16495322103219223\n","g_loss:[14.541203, 14.506285, 0.017459104]\n","Batch:25\n","d_loss_real:0.3311534821987152\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.7882242648047395e-05\n","d_loss:0.16558373666020998\n","g_loss:[14.541108, 14.506285, 0.017411496]\n","Batch:26\n","d_loss_real:0.32869160175323486\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.9254864279646426e-05\n","d_loss:0.1643581395928777\n","g_loss:[14.541013, 14.506285, 0.017364064]\n","Batch:27\n","d_loss_real:0.32928723096847534\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.555164559860714e-05\n","d_loss:0.16465502839582769\n","g_loss:[14.540921, 14.506285, 0.017318344]\n","Batch:28\n","d_loss_real:0.32669681310653687\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.218030491960235e-05\n","d_loss:0.1633614766296887\n","g_loss:[14.540829, 14.506285, 0.017271977]\n","Batch:29\n","d_loss_real:0.3266688287258148\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.7412188248708844e-05\n","d_loss:0.16334379241015995\n","g_loss:[14.540734, 14.506285, 0.017224897]\n","Batch:30\n","d_loss_real:0.3266827464103699\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.6137943021021783e-05\n","d_loss:0.16334543269113055\n","g_loss:[14.540643, 14.506285, 0.017179225]\n","========================================\n","Epoch is: 994\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32583194971084595\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.5110595995793119e-05\n","d_loss:0.1629197775043849\n","g_loss:[14.540551, 14.506285, 0.017133337]\n","Batch:2\n","d_loss_real:0.3259277939796448\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.62823580467375e-05\n","d_loss:0.16296799257952443\n","g_loss:[14.540461, 14.506285, 0.017087739]\n","Batch:3\n","d_loss_real:0.3269064426422119\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.541295442730188e-05\n","d_loss:0.16346959955990314\n","g_loss:[14.540372, 14.506285, 0.017043456]\n","Batch:4\n","d_loss_real:0.32619646191596985\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.638802915404085e-06\n","d_loss:0.16309991565867676\n","g_loss:[14.540281, 14.506285, 0.016998384]\n","Batch:5\n","d_loss_real:0.326960951089859\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.25080795341637e-05\n","d_loss:0.1634936275650034\n","g_loss:[14.5401945, 14.506285, 0.016954865]\n","Batch:6\n","d_loss_real:0.3261135220527649\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.375773904845119e-05\n","d_loss:0.16307772546133492\n","g_loss:[14.540104, 14.506285, 0.016909529]\n","Batch:7\n","d_loss_real:0.32582035660743713\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.4110074668424204e-05\n","d_loss:0.16292123082257604\n","g_loss:[14.540015, 14.506285, 0.016865153]\n","Batch:8\n","d_loss_real:0.3267163336277008\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.4359643147327e-05\n","d_loss:0.1633742817248276\n","g_loss:[14.5399275, 14.506285, 0.016821433]\n","Batch:9\n","d_loss_real:0.3264749050140381\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.314190351171419e-05\n","d_loss:0.16324326298308733\n","g_loss:[14.539841, 14.506285, 0.016778024]\n","Batch:10\n","d_loss_real:0.3280763626098633\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.00012246571714058518\n","d_loss:0.16406882273440715\n","g_loss:[14.539754, 14.506285, 0.016734388]\n","Batch:11\n","d_loss_real:0.32840919494628906\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.2590891350992024e-05\n","d_loss:0.16421277019617264\n","g_loss:[14.539665, 14.506285, 0.016690373]\n","Batch:12\n","d_loss_real:0.3266085684299469\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.843258178269025e-05\n","d_loss:0.16330891736060948\n","g_loss:[14.539581, 14.506285, 0.01664845]\n","Batch:13\n","d_loss_real:0.32755595445632935\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.2190338970394805e-05\n","d_loss:0.16378604981309763\n","g_loss:[14.539495, 14.506285, 0.01660519]\n","Batch:14\n","d_loss_real:0.3278256058692932\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.2314278137637302e-05\n","d_loss:0.163915906504144\n","g_loss:[14.53941, 14.506285, 0.016562544]\n","Batch:15\n","d_loss_real:0.3270428776741028\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.344288264401257e-05\n","d_loss:0.16354482455790276\n","g_loss:[14.539325, 14.506285, 0.016520167]\n","Batch:16\n","d_loss_real:0.326002836227417\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.785410833894275e-05\n","d_loss:0.1630084066409836\n","g_loss:[14.53924, 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0.016311627]\n","Batch:21\n","d_loss_real:0.3257260322570801\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.4091748198552523e-05\n","d_loss:0.16286656406555267\n","g_loss:[14.538826, 14.506285, 0.016270848]\n","Batch:22\n","d_loss_real:0.3296184837818146\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.1158971725963056e-05\n","d_loss:0.16481955663402914\n","g_loss:[14.538745, 14.506285, 0.016230267]\n","Batch:23\n","d_loss_real:0.3258172571659088\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.448082447401248e-05\n","d_loss:0.16292227378926327\n","g_loss:[14.538664, 14.506285, 0.016189778]\n","Batch:24\n","d_loss_real:0.32904139161109924\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.998732634296175e-05\n","d_loss:0.16452821763732572\n","g_loss:[14.538584, 14.506285, 0.016149653]\n","Batch:25\n","d_loss_real:0.3280486464500427\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.246376607217826e-05\n","d_loss:0.16402996416672977\n","g_loss:[14.538503, 14.506285, 0.016108906]\n","Batch:26\n","d_loss_real:0.32912805676460266\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.8521549615543336e-05\n","d_loss:0.16457618376989558\n","g_loss:[14.538422, 14.506285, 0.016068272]\n","Batch:27\n","d_loss_real:0.326721727848053\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.905833727912977e-05\n","d_loss:0.16337065350853663\n","g_loss:[14.538343, 14.506285, 0.016029196]\n","Batch:28\n","d_loss_real:0.32572537660598755\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.600348984240554e-05\n","d_loss:0.16287421417564474\n","g_loss:[14.538263, 14.506285, 0.015989492]\n","Batch:29\n","d_loss_real:0.3254581093788147\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.7538717404240742e-05\n","d_loss:0.16273596436894877\n","g_loss:[14.538183, 14.506285, 0.015949078]\n","Batch:30\n","d_loss_real:0.3260379731655121\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.523031278338749e-05\n","d_loss:0.16302281916114225\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[14.538105, 14.506285, 0.015909925]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 995\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3256753981113434\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.325417269981699e-05\n","d_loss:0.16284103759880963\n","g_loss:[14.538026, 14.506285, 0.015870573]\n","Batch:2\n","d_loss_real:0.32554179430007935\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.6813048205222003e-05\n","d_loss:0.16277512541228134\n","g_loss:[14.537948, 14.506285, 0.015831448]\n","Batch:3\n","d_loss_real:0.3259304463863373\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.6231077905977145e-05\n","d_loss:0.1629793059628355\n","g_loss:[14.537871, 14.506285, 0.015793491]\n","Batch:4\n","d_loss_real:0.32588839530944824\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.780313586001284e-06\n","d_loss:0.1629456677330836\n","g_loss:[14.537794, 14.506285, 0.015754778]\n","Batch:5\n","d_loss_real:0.3256520926952362\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.2449315515113994e-05\n","d_loss:0.16283668367668724\n","g_loss:[14.53772, 14.506285, 0.015717475]\n","Batch:6\n","d_loss_real:0.32544949650764465\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.290169014595449e-05\n","d_loss:0.16274299867654918\n","g_loss:[14.537642, 14.506285, 0.015678454]\n","Batch:7\n","d_loss_real:0.32569989562034607\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.198799797450192e-05\n","d_loss:0.16286046980985702\n","g_loss:[14.537565, 14.506285, 0.01564029]\n","Batch:8\n","d_loss_real:0.3255367875099182\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.330338535713963e-05\n","d_loss:0.16278174460148875\n","g_loss:[14.53749, 14.506285, 0.015602717]\n","Batch:9\n","d_loss_real:0.3257747292518616\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.1183750504860654e-05\n","d_loss:0.16289268556374736\n","g_loss:[14.5374155, 14.506285, 0.015565403]\n","Batch:10\n","d_loss_real:0.32578638195991516\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:0.0001100299705285579\n","d_loss:0.16292072347278008\n","g_loss:[14.53734, 14.506285, 0.015527846]\n","Batch:11\n","d_loss_real:0.32687321305274963\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.27369270962663e-05\n","d_loss:0.16344481575833925\n","g_loss:[14.537265, 14.506285, 0.015489911]\n","Batch:12\n","d_loss_real:0.32553762197494507\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.842049096012488e-05\n","d_loss:0.16277344111040293\n","g_loss:[14.537192, 14.506285, 0.015453875]\n","Batch:13\n","d_loss_real:0.3256309926509857\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.0656770832138136e-05\n","d_loss:0.16282318551839126\n","g_loss:[14.537118, 14.506285, 0.015416594]\n","Batch:14\n","d_loss_real:0.3274879455566406\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.2818552932003513e-05\n","d_loss:0.1637472024165163\n","g_loss:[14.537045, 14.506285, 0.015379852]\n","Batch:15\n","d_loss_real:0.32569801807403564\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.329468593932688e-05\n","d_loss:0.16287235770869302\n","g_loss:[14.536971, 14.506285, 0.015343306]\n","Batch:16\n","d_loss_real:0.32542234659194946\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.6515417630434968e-05\n","d_loss:0.1627178271505727\n","g_loss:[14.536898, 14.506285, 0.015306612]\n","Batch:17\n","d_loss_real:0.32610806822776794\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:7.720725261606276e-05\n","d_loss:0.16307336092722835\n","g_loss:[14.536827, 14.506285, 0.01527109]\n","Batch:18\n","d_loss_real:0.3261522948741913\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.2384398158174e-06\n","d_loss:0.16307848204701259\n","g_loss:[14.536756, 14.506285, 0.015235427]\n","Batch:19\n","d_loss_real:0.32578176259994507\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.6805857487488538e-05\n","d_loss:0.16289760776453477\n","g_loss:[14.536683, 14.506285, 0.015199053]\n","Batch:20\n","d_loss_real:0.32635781168937683\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.8053709936793894e-05\n","d_loss:0.16318344427236298\n","g_loss:[14.536612, 14.506285, 0.01516338]\n","Batch:21\n","d_loss_real:0.32618364691734314\n","d_loss_fake:1.206639694828482e-07\n","d_loss_wrong:1.321536456089234e-05\n","d_loss:0.1630951574657047\n","g_loss:[14.536541, 14.506285, 0.015128171]\n","Batch:22\n","d_loss_real:0.3268676698207855\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.969009412685409e-05\n","d_loss:0.16344378243411484\n","g_loss:[14.536471, 14.506285, 0.015093125]\n","Batch:23\n","d_loss_real:0.32554763555526733\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.252688788459636e-05\n","d_loss:0.16278697449979518\n","g_loss:[14.536401, 14.506285, 0.015058143]\n","Batch:24\n","d_loss_real:0.3286447525024414\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.891211443056818e-05\n","d_loss:0.1643296292800187\n","g_loss:[14.536331, 14.506285, 0.015023467]\n","Batch:25\n","d_loss_real:0.3269682824611664\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.0828847482334822e-05\n","d_loss:0.16348937344264414\n","g_loss:[14.536262, 14.506285, 0.014988206]\n","Batch:26\n","d_loss_real:0.3264278769493103\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.52294698334299e-05\n","d_loss:0.16322527084230387\n","g_loss:[14.536191, 14.506285, 0.014953013]\n","Batch:27\n","d_loss_real:0.3261722922325134\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.435814141994342e-05\n","d_loss:0.16309476065180206\n","g_loss:[14.536123, 14.506285, 0.014919251]\n","Batch:28\n","d_loss_real:0.3255215287208557\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.1326980863232166e-05\n","d_loss:0.16277112110583403\n","g_loss:[14.536055, 14.506285, 0.014884889]\n","Batch:29\n","d_loss_real:0.3253727853298187\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.3554823201266117e-05\n","d_loss:0.16269230637090004\n","g_loss:[14.535984, 14.506285, 0.014849839]\n","Batch:30\n","d_loss_real:0.3254483640193939\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.3503554328053724e-05\n","d_loss:0.16272758289824196\n","g_loss:[14.535916, 14.506285, 0.014815922]\n","========================================\n","Epoch is: 996\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3252958059310913\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.2507795872807037e-05\n","d_loss:0.16265105491447684\n","g_loss:[14.535849, 14.506285, 0.014781816]\n","Batch:2\n","d_loss_real:0.32522910833358765\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.6368303477065638e-05\n","d_loss:0.16261867124285345\n","g_loss:[14.535781, 14.506285, 0.014747906]\n","Batch:3\n","d_loss_real:0.3253735899925232\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.20284847880248e-05\n","d_loss:0.16269982711764897\n","g_loss:[14.535715, 14.506285, 0.014715038]\n","Batch:4\n","d_loss_real:0.32581648230552673\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.419748958956916e-06\n","d_loss:0.1629096210899661\n","g_loss:[14.535647, 14.506285, 0.0146814585]\n","Batch:5\n","d_loss_real:0.32547396421432495\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.87737964047119e-05\n","d_loss:0.16274670055645402\n","g_loss:[14.5355835, 14.506285, 0.014649158]\n","Batch:6\n","d_loss_real:0.3253236711025238\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.77800053381361e-05\n","d_loss:0.1626788055527868\n","g_loss:[14.535515, 14.506285, 0.01461525]\n","Batch:7\n","d_loss_real:0.3255898952484131\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.034972516819835e-05\n","d_loss:0.16280506005568895\n","g_loss:[14.535449, 14.506285, 0.014582103]\n","Batch:8\n","d_loss_real:0.32517772912979126\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.566377174342051e-05\n","d_loss:0.16260030550802185\n","g_loss:[14.535384, 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0.0140455915]\n","Batch:25\n","d_loss_real:0.326312392950058\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.00518097699387e-05\n","d_loss:0.16316123442766184\n","g_loss:[14.534314, 14.506285, 0.014014827]\n","Batch:26\n","d_loss_real:0.32564541697502136\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.4771135435439646e-05\n","d_loss:0.1628339262715599\n","g_loss:[14.534253, 14.506285, 0.013984104]\n","Batch:27\n","d_loss_real:0.3260097801685333\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.192366420989856e-05\n","d_loss:0.1630128960005095\n","g_loss:[14.534194, 14.506285, 0.013954696]\n","Batch:28\n","d_loss_real:0.3253701627254486\n","d_loss_fake:1.0576280828900053e-07\n","d_loss_wrong:3.7887617509113625e-05\n","d_loss:0.16269457970793155\n","g_loss:[14.534134, 14.506285, 0.013924723]\n","Batch:29\n","d_loss_real:0.3253994584083557\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.152002343791537e-05\n","d_loss:0.1627051342102277\n","g_loss:[14.534073, 14.506285, 0.013894081]\n","Batch:30\n","d_loss_real:0.3251751959323883\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.2669720490521286e-05\n","d_loss:0.16259079039627977\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[14.534014, 14.506285, 0.013864467]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 997\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32523202896118164\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.1984261618636083e-05\n","d_loss:0.16261903554595847\n","g_loss:[14.533954, 14.506285, 0.013834685]\n","Batch:2\n","d_loss_real:0.3251839280128479\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.6287731341435574e-05\n","d_loss:0.16259606093944967\n","g_loss:[14.533895, 14.506285, 0.013805062]\n","Batch:3\n","d_loss_real:0.32522010803222656\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.0520451623015106e-05\n","d_loss:0.1626227091292094\n","g_loss:[14.533837, 14.506285, 0.013776387]\n","Batch:4\n","d_loss_real:0.32553571462631226\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:5.273918759485241e-06\n","d_loss:0.162769200792809\n","g_loss:[14.533779, 14.506285, 0.013747036]\n","Batch:5\n","d_loss_real:0.325346440076828\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.57481294486206e-05\n","d_loss:0.16268218207096652\n","g_loss:[14.533723, 14.506285, 0.0137188565]\n","Batch:6\n","d_loss_real:0.32524698972702026\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:6.502019823528826e-05\n","d_loss:0.16263977491325932\n","g_loss:[14.533663, 14.506285, 0.013689166]\n","Batch:7\n","d_loss_real:0.3254079818725586\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.865002145175822e-05\n","d_loss:0.1627136784418326\n","g_loss:[14.533605, 14.506285, 0.013660167]\n","Batch:8\n","d_loss_real:0.3251350522041321\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:4.180558244115673e-05\n","d_loss:0.1625780024978667\n","g_loss:[14.533548, 14.506285, 0.013631672]\n","Batch:9\n","d_loss_real:0.32528090476989746\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.8953838662127964e-05\n","d_loss:0.16264521584480462\n","g_loss:[14.533491, 14.506285, 0.013603362]\n","Batch:10\n","d_loss_real:0.32553476095199585\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:9.568405948812142e-05\n","d_loss:0.16279132649106032\n","g_loss:[14.533434, 14.506285, 0.013574814]\n","Batch:11\n","d_loss_real:0.325583279132843\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:3.198279591742903e-05\n","d_loss:0.16279966026559123\n","g_loss:[14.533377, 14.506285, 0.013545891]\n","Batch:12\n","d_loss_real:0.325192928314209\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.688956399448216e-05\n","d_loss:0.16260071154829348\n","g_loss:[14.533322, 14.506285, 0.013518575]\n","Batch:13\n","d_loss_real:0.3251798748970032\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.8279751859372482e-05\n","d_loss:0.1625970323866568\n","g_loss:[14.533265, 14.506285, 0.013490178]\n","Batch:14\n","d_loss_real:0.3254237771034241\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.2935533050040249e-05\n","d_loss:0.16271514743493753\n","g_loss:[14.533209, 14.506285, 0.013462216]\n","Batch:15\n","d_loss_real:0.3253196179866791\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.235019049607217e-05\n","d_loss:0.16268042154115392\n","g_loss:[14.533154, 14.506285, 0.013434346]\n","Batch:16\n","d_loss_real:0.3252137005329132\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.500341179256793e-05\n","d_loss:0.1626131261195951\n","g_loss:[14.533097, 14.506285, 0.013406357]\n","Batch:17\n","d_loss_real:0.32528001070022583\n","d_loss_fake:1.1123890999442665e-06\n","d_loss_wrong:6.76993076922372e-05\n","d_loss:0.16265720827504992\n","g_loss:[14.533043, 14.506285, 0.013379325]\n","Batch:18\n","d_loss_real:0.325316846370697\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.797685040917713e-06\n","d_loss:0.16266064760657173\n","g_loss:[14.532989, 14.506285, 0.013352141]\n","Batch:19\n","d_loss_real:0.32547375559806824\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.357290213694796e-05\n","d_loss:0.16274279602475872\n","g_loss:[14.532933, 14.506285, 0.013324333]\n","Batch:20\n","d_loss_real:0.3252996802330017\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.8737353457254358e-05\n","d_loss:0.16265454945505553\n","g_loss:[14.382294, 14.3557, 0.013297123]\n","Batch:21\n","d_loss_real:0.32589656114578247\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.2156862794654444e-05\n","d_loss:0.1629513447885529\n","g_loss:[14.532479, 14.506285, 0.013097333]\n","Batch:22\n","d_loss_real:0.32583028078079224\n","d_loss_fake:1.6384117884626903e-07\n","d_loss_wrong:3.6188368540024385e-05\n","d_loss:0.1629242284425345\n","g_loss:[12.459288, 12.433314, 0.012986766]\n","Batch:23\n","d_loss_real:0.325200617313385\n","d_loss_fake:1.0682212092660848e-07\n","d_loss_wrong:4.771305248141289e-05\n","d_loss:0.1626122636253058\n","g_loss:[13.215222, 13.190073, 0.012574621]\n","Batch:24\n","d_loss_real:0.32779690623283386\n","d_loss_fake:9.296429084315605e-07\n","d_loss_wrong:2.7377545848139562e-05\n","d_loss:0.16390552991379082\n","g_loss:[9.6872015, 9.662898, 0.012151649]\n","Batch:25\n","d_loss_real:0.3259393572807312\n","d_loss_fake:0.047670818865299225\n","d_loss_wrong:1.5451349099748768e-05\n","d_loss:0.1748912464827299\n","g_loss:[6.4776874, 6.4545717, 0.011557804]\n","Batch:26\n","d_loss_real:0.32545438408851624\n","d_loss_fake:1.8931948488898342e-06\n","d_loss_wrong:3.480441955616698e-05\n","d_loss:0.16273636644746148\n","g_loss:[7.3635707, 7.341226, 0.01117234]\n","Batch:27\n","d_loss_real:0.32734110951423645\n","d_loss_fake:8.559232082916424e-05\n","d_loss_wrong:2.0301904442021623e-05\n","d_loss:0.16369702831434552\n","g_loss:[2.6562161, 2.6342232, 0.010996485]\n","Batch:28\n","d_loss_real:0.3258201777935028\n","d_loss_fake:1.8452148651704192e-05\n","d_loss_wrong:2.8067510356777348e-05\n","d_loss:0.16292171881104878\n","g_loss:[1.8909235, 1.8696175, 0.010653047]\n","Batch:29\n","d_loss_real:0.326846182346344\n","d_loss_fake:0.0004065141547471285\n","d_loss_wrong:1.6918544133659452e-05\n","d_loss:0.16352894934971118\n","g_loss:[1.0293399, 1.0083907, 0.010474627]\n","Batch:30\n","d_loss_real:0.33431360125541687\n","d_loss_fake:6.335880607366562e-05\n","d_loss_wrong:5.793835953227244e-06\n","d_loss:0.1671740887886699\n","g_loss:[0.6640477, 0.6431826, 0.0104325805]\n","========================================\n","Epoch is: 998\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.3301510214805603\n","d_loss_fake:0.001096586580388248\n","d_loss_wrong:8.577450898883399e-06\n","d_loss:0.16535180175560527\n","g_loss:[0.7369943, 0.71630156, 0.010346395]\n","Batch:2\n","d_loss_real:0.32804176211357117\n","d_loss_fake:0.005853806156665087\n","d_loss_wrong:9.535693607176654e-06\n","d_loss:0.16548671654891223\n","g_loss:[0.54467875, 0.5235637, 0.010557527]\n","Batch:3\n","d_loss_real:0.3260467052459717\n","d_loss_fake:4.1091836465056986e-05\n","d_loss_wrong:3.956772343371995e-05\n","d_loss:0.16304351751387003\n","g_loss:[0.74162483, 0.72027224, 0.010676306]\n","Batch:4\n","d_loss_real:0.32652851939201355\n","d_loss_fake:1.1517119673953857e-05\n","d_loss_wrong:5.754824996984098e-06\n","d_loss:0.1632685776821745\n","g_loss:[0.9435784, 0.9221903, 0.010694044]\n","Batch:5\n","d_loss_real:0.32582682371139526\n","d_loss_fake:0.0001567476720083505\n","d_loss_wrong:2.014002893702127e-05\n","d_loss:0.16295763378002448\n","g_loss:[0.60745025, 0.5861476, 0.010651311]\n","Batch:6\n","d_loss_real:0.3256737291812897\n","d_loss_fake:0.021935168653726578\n","d_loss_wrong:3.283106707385741e-05\n","d_loss:0.16832886449992657\n","g_loss:[0.7606217, 0.73938113, 0.010620297]\n","Batch:7\n","d_loss_real:0.327894389629364\n","d_loss_fake:0.00010521956573938951\n","d_loss_wrong:2.470530307618901e-05\n","d_loss:0.1639796760318859\n","g_loss:[0.77425426, 0.7526394, 0.010807427]\n","Batch:8\n","d_loss_real:0.32626718282699585\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:2.84993730019778e-05\n","d_loss:0.16314074125693878\n","g_loss:[0.53917783, 0.51737475, 0.010901546]\n","Batch:9\n","d_loss_real:0.3328650891780853\n","d_loss_fake:1.12531570266583e-05\n","d_loss_wrong:8.128322406264488e-06\n","d_loss:0.1664373899589009\n","g_loss:[1.706258, 1.6844032, 0.010927413]\n","Batch:10\n","d_loss_real:0.3274926543235779\n","d_loss_fake:4.1578838136047125e-05\n","d_loss_wrong:5.312251960276626e-05\n","d_loss:0.16377000250213314\n","g_loss:[1.3646691, 1.3411337, 0.011767658]\n","Batch:11\n","d_loss_real:0.32681283354759216\n","d_loss_fake:0.0001797625736799091\n","d_loss_wrong:1.6401645552832633e-05\n","d_loss:0.16345545782678528\n","g_loss:[1.0978653, 1.0723575, 0.012753879]\n","Batch:12\n","d_loss_real:0.3261750638484955\n","d_loss_fake:1.7683669284451753e-07\n","d_loss_wrong:1.4283566997619346e-05\n","d_loss:0.16309114702517036\n","g_loss:[0.7425427, 0.71612257, 0.013210045]\n","Batch:13\n","d_loss_real:0.3310173451900482\n","d_loss_fake:3.399338311282918e-06\n","d_loss_wrong:1.3849054084857926e-05\n","d_loss:0.16551298469312314\n","g_loss:[0.41795075, 0.39110965, 0.013420547]\n","Batch:14\n","d_loss_real:0.3260130286216736\n","d_loss_fake:0.0008589813369326293\n","d_loss_wrong:7.245089818752604e-06\n","d_loss:0.16322307092195842\n","g_loss:[0.5161369, 0.48915988, 0.013488516]\n","Batch:15\n","d_loss_real:0.3269611597061157\n","d_loss_fake:0.0047930339351296425\n","d_loss_wrong:4.938096390105784e-05\n","d_loss:0.1646911835996434\n","g_loss:[0.4928821, 0.465872, 0.0135050565]\n","Batch:16\n","d_loss_real:0.33203524351119995\n","d_loss_fake:0.0007725146715529263\n","d_loss_wrong:8.960712875705212e-06\n","d_loss:0.16621299060352612\n","g_loss:[0.35545287, 0.32853872, 0.013457077]\n","Batch:17\n","d_loss_real:0.328042596578598\n","d_loss_fake:3.766258714676951e-06\n","d_loss_wrong:5.249808236840181e-05\n","d_loss:0.16403536437428556\n","g_loss:[0.35575256, 0.3289165, 0.0134180365]\n","Batch:18\n","d_loss_real:0.32642194628715515\n","d_loss_fake:0.000932427472434938\n","d_loss_wrong:7.784873560012784e-06\n","d_loss:0.1634460262284847\n","g_loss:[0.4134401, 0.3866721, 0.013383992]\n","Batch:19\n","d_loss_real:0.32794189453125\n","d_loss_fake:8.055526450334582e-07\n","d_loss_wrong:1.1321228157612495e-05\n","d_loss:0.16397397896071197\n","g_loss:[0.59352523, 0.5668147, 0.013355252]\n","Batch:20\n","d_loss_real:0.3259892463684082\n","d_loss_fake:0.003230799688026309\n","d_loss_wrong:1.2212300134706311e-05\n","d_loss:0.16380537615623325\n","g_loss:[0.3625574, 0.33603907, 0.013259165]\n","Batch:21\n","d_loss_real:0.32603758573532104\n","d_loss_fake:5.8327888837084174e-05\n","d_loss_wrong:8.223523764172569e-06\n","d_loss:0.16303543071990134\n","g_loss:[0.5181056, 0.4917179, 0.013193856]\n","Batch:22\n","d_loss_real:0.3275166451931\n","d_loss_fake:6.521163595607504e-05\n","d_loss_wrong:2.388489338045474e-05\n","d_loss:0.16378059672933887\n","g_loss:[0.35774362, 0.3315116, 0.013116023]\n","Batch:23\n","d_loss_real:0.33007609844207764\n","d_loss_fake:2.1761563402833417e-05\n","d_loss_wrong:3.981769259553403e-05\n","d_loss:0.16505344403412892\n","g_loss:[0.5694937, 0.54336107, 0.013066309]\n","Batch:24\n","d_loss_real:0.3299843370914459\n","d_loss_fake:0.012907007709145546\n","d_loss_wrong:1.6079935448942706e-05\n","d_loss:0.16822294052690268\n","g_loss:[0.4343374, 0.40822205, 0.0130576845]\n","Batch:25\n","d_loss_real:0.32752513885498047\n","d_loss_fake:3.011734008850908e-07\n","d_loss_wrong:6.717170435877051e-06\n","d_loss:0.1637643240134139\n","g_loss:[0.5855104, 0.55944645, 0.013031969]\n","Batch:26\n","d_loss_real:0.32603171467781067\n","d_loss_fake:5.5643893574597314e-05\n","d_loss_wrong:2.5315002858405933e-05\n","d_loss:0.16303609706301359\n","g_loss:[0.6588391, 0.6330643, 0.0128873885]\n","Batch:27\n","d_loss_real:0.32625171542167664\n","d_loss_fake:2.1295518592978624e-07\n","d_loss_wrong:7.563184226455633e-06\n","d_loss:0.16312780174575892\n","g_loss:[0.8114255, 0.7857844, 0.012820529]\n","Batch:28\n","d_loss_real:0.3273973762989044\n","d_loss_fake:0.00012530139065347612\n","d_loss_wrong:2.958125878649298e-05\n","d_loss:0.16373740881317644\n","g_loss:[0.36118227, 0.33557343, 0.012804414]\n","Batch:29\n","d_loss_real:0.3260060250759125\n","d_loss_fake:0.0007108428981155157\n","d_loss_wrong:1.0095807738252915e-05\n","d_loss:0.1631832472194219\n","g_loss:[0.41176134, 0.38619608, 0.012782628]\n","Batch:30\n","d_loss_real:0.3262273669242859\n","d_loss_fake:2.5594639737391844e-05\n","d_loss_wrong:4.126091880607419e-06\n","d_loss:0.16312111364504744\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["g_loss:[0.49731356, 0.47178382, 0.012764868]\n"],"name":"stdout"},{"output_type":"stream","text":["Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n","Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"],"name":"stderr"},{"output_type":"stream","text":["========================================\n","Epoch is: 999\n","Number of batches 30\n","Batch:1\n","d_loss_real:0.32806000113487244\n","d_loss_fake:1.0351779167194763e-07\n","d_loss_wrong:7.201467269624118e-06\n","d_loss:0.164031826813698\n","g_loss:[0.39468443, 0.36904234, 0.012821054]\n","Batch:2\n","d_loss_real:0.32731422781944275\n","d_loss_fake:0.002762025222182274\n","d_loss_wrong:1.4586901670554653e-05\n","d_loss:0.16435126692522317\n","g_loss:[0.6171748, 0.5914794, 0.012847694]\n","Batch:3\n","d_loss_real:0.3263114392757416\n","d_loss_fake:1.1855647244374268e-05\n","d_loss_wrong:2.22618746192893e-05\n","d_loss:0.1631642490183367\n","g_loss:[0.38865542, 0.36300474, 0.012825346]\n","Batch:4\n","d_loss_real:0.3258127272129059\n","d_loss_fake:0.0009320119279436767\n","d_loss_wrong:6.392305294866674e-06\n","d_loss:0.16314096466521733\n","g_loss:[0.3603209, 0.3347165, 0.012802203]\n","Batch:5\n","d_loss_real:0.3266346752643585\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:8.255118700617459e-06\n","d_loss:0.1633194264118174\n","g_loss:[10.049665, 10.024101, 0.01278189]\n","Batch:6\n","d_loss_real:0.32573071122169495\n","d_loss_fake:0.02178061194717884\n","d_loss_wrong:2.802446579153184e-05\n","d_loss:0.16831751493737102\n","g_loss:[9.271172, 9.241829, 0.014671129]\n","Batch:7\n","d_loss_real:0.3265041708946228\n","d_loss_fake:4.147742220084183e-05\n","d_loss_wrong:6.880405180709204e-06\n","d_loss:0.16326417490381573\n","g_loss:[3.626803, 3.5957484, 0.015527303]\n","Batch:8\n","d_loss_real:0.32560983300209045\n","d_loss_fake:0.001056646229699254\n","d_loss_wrong:9.451875484955963e-06\n","d_loss:0.16307144102756865\n","g_loss:[2.5499315, 2.51758, 0.016175803]\n","Batch:9\n","d_loss_real:0.348728209733963\n","d_loss_fake:0.06457456201314926\n","d_loss_wrong:2.346711880818475e-06\n","d_loss:0.19050833210349083\n","g_loss:[10.493192, 10.459996, 0.016597513]\n","Batch:10\n","d_loss_real:0.3328227400779724\n","d_loss_fake:1.1686211109918077e-05\n","d_loss_wrong:1.2496858289523516e-05\n","d_loss:0.16641741580633607\n","g_loss:[4.84662, 4.8132386, 0.016690701]\n","Batch:11\n","d_loss_real:0.33057719469070435\n","d_loss_fake:7.199597166618332e-05\n","d_loss_wrong:3.925748842448229e-06\n","d_loss:0.1653075777758204\n","g_loss:[3.5718455, 3.5381691, 0.01683823]\n","Batch:12\n","d_loss_real:0.340596467256546\n","d_loss_fake:0.0007585165440104902\n","d_loss_wrong:1.8997212464455515e-05\n","d_loss:0.17049261207284871\n","g_loss:[2.4360638, 2.401728, 0.017167931]\n","Batch:13\n","d_loss_real:0.34126797318458557\n","d_loss_fake:0.00045370179577730596\n","d_loss_wrong:6.199578820087481e-06\n","d_loss:0.17074896193662426\n","g_loss:[2.3048778, 2.2701032, 0.017387224]\n","Batch:14\n","d_loss_real:0.3323974013328552\n","d_loss_fake:0.008541559800505638\n","d_loss_wrong:3.1561403375235386e-06\n","d_loss:0.16833487967960536\n","g_loss:[10.616838, 10.581835, 0.017501641]\n","Batch:15\n","d_loss_real:0.35403522849082947\n","d_loss_fake:0.00045153737301006913\n","d_loss_wrong:8.082365820882842e-05\n","d_loss:0.17715070450503845\n","g_loss:[3.3057609, 3.2688422, 0.018459277]\n","Batch:16\n","d_loss_real:0.34044700860977173\n","d_loss_fake:0.00437801843509078\n","d_loss_wrong:6.812178980908357e-06\n","d_loss:0.17131971195340157\n","g_loss:[2.406509, 2.367901, 0.019303864]\n","Batch:17\n","d_loss_real:0.3288120627403259\n","d_loss_fake:0.022339947521686554\n","d_loss_wrong:1.260815861314768e-05\n","d_loss:0.1699941703118384\n","g_loss:[3.2557418, 3.2163162, 0.019712795]\n","Batch:18\n","d_loss_real:0.32847511768341064\n","d_loss_fake:0.0005519968690350652\n","d_loss_wrong:3.0280425562523305e-06\n","d_loss:0.16437631506414618\n","g_loss:[2.8276877, 2.7881134, 0.019787151]\n","Batch:19\n","d_loss_real:0.33257466554641724\n","d_loss_fake:0.014790202490985394\n","d_loss_wrong:1.4234689842851367e-05\n","d_loss:0.16998844197951257\n","g_loss:[3.5217853, 3.4825058, 0.019639762]\n","Batch:20\n","d_loss_real:0.331672728061676\n","d_loss_fake:1.4042483599041589e-05\n","d_loss_wrong:2.987226707773516e-06\n","d_loss:0.16584062145830103\n","g_loss:[2.9169147, 2.8752217, 0.02084646]\n","Batch:21\n","d_loss_real:0.3297845721244812\n","d_loss_fake:0.0029155374504625797\n","d_loss_wrong:3.4716297250270145e-06\n","d_loss:0.16562203835928813\n","g_loss:[1.8084956, 1.7666581, 0.020918775]\n","Batch:22\n","d_loss_real:0.33097654581069946\n","d_loss_fake:0.0018713946919888258\n","d_loss_wrong:9.123474228545092e-06\n","d_loss:0.16595840244553983\n","g_loss:[1.4056075, 1.3641424, 0.020732552]\n","Batch:23\n","d_loss_real:0.3311605453491211\n","d_loss_fake:1.2652701116167009e-05\n","d_loss_wrong:9.34594118007226e-06\n","d_loss:0.16558577233536198\n","g_loss:[1.5728064, 1.5308423, 0.02098201]\n","Batch:24\n","d_loss_real:0.3374858796596527\n","d_loss_fake:0.0038550333119928837\n","d_loss_wrong:2.565657041486702e-06\n","d_loss:0.16970733954804018\n","g_loss:[1.3746578, 1.3336179, 0.020519938]\n","Batch:25\n","d_loss_real:0.3292943835258484\n","d_loss_fake:0.05801665037870407\n","d_loss_wrong:4.955348344992672e-07\n","d_loss:0.17915147822350264\n","g_loss:[14.306009, 14.265117, 0.020446379]\n","Batch:26\n","d_loss_real:0.4136177599430084\n","d_loss_fake:1.000000082740371e-07\n","d_loss_wrong:1.970806624740362e-05\n","d_loss:0.20681383198825642\n","g_loss:[9.348169, 9.305887, 0.02114116]\n","Batch:27\n","d_loss_real:0.3365967869758606\n","d_loss_fake:1.6955655155470595e-06\n","d_loss_wrong:3.2645284591126256e-06\n","d_loss:0.16829963351142396\n","g_loss:[5.387892, 5.345711, 0.021090154]\n","Batch:28\n","d_loss_real:0.33796215057373047\n","d_loss_fake:3.6045188608113676e-05\n","d_loss_wrong:9.58330747380387e-06\n","d_loss:0.16899248241134046\n","g_loss:[5.0397816, 4.9979334, 0.020924153]\n","Batch:29\n","d_loss_real:0.33753806352615356\n","d_loss_fake:0.0005815215408802032\n","d_loss_wrong:4.24121799369459e-06\n","d_loss:0.16891547245904803\n","g_loss:[2.2238145, 2.178997, 0.022408705]\n","Batch:30\n","d_loss_real:0.32873374223709106\n","d_loss_fake:7.260368874995038e-06\n","d_loss_wrong:3.7262750538502587e-06\n","d_loss:0.1643696177795846\n","g_loss:[4.135039, 4.088501, 0.023268955]\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"nrPbBdpoU8Aa","colab_type":"code","colab":{}},"source":["import shutil\n","shutil.make_archive(\"resultssss\", 'zip', \"results\")\n","from google.colab import files\n","files.download(\"results.zip\")"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Uv4rmX1yGva3","colab_type":"code","outputId":"5f5b91fd-6eac-4fde-9736-176ec32bc007","executionInfo":{"status":"ok","timestamp":1558081226176,"user_tz":-330,"elapsed":3612718,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":3979}},"source":["# download results\n","!zip -r /content/results.zip /content/results\n","\n","from google.colab import files\n","files.download(\"/content/results.zip\")"],"execution_count":0,"outputs":[{"output_type":"stream","text":["  adding: content/results/ (stored 0%)\n","  adding: content/results/gen_984_3.png (deflated 11%)\n","  adding: content/results/gen_976_2.png (deflated 9%)\n","  adding: content/results/gen_968_3.png (deflated 11%)\n","  adding: content/results/gen_974_5.png (deflated 9%)\n","  adding: content/results/gen_970_8.png (deflated 12%)\n","  adding: content/results/gen_982_3.png (deflated 11%)\n","  adding: content/results/gen_996_9.png (deflated 9%)\n","  adding: content/results/gen_984_5.png (deflated 10%)\n","  adding: content/results/gen_974_1.png (deflated 12%)\n","  adding: content/results/gen_978_6.png (deflated 9%)\n","  adding: content/results/gen_966_0.png (deflated 10%)\n","  adding: content/results/gen_956_9.png (deflated 9%)\n","  adding: content/results/gen_990_9.png (deflated 8%)\n","  adding: content/results/gen_988_4.png (deflated 8%)\n","  adding: content/results/gen_966_5.png (deflated 10%)\n","  adding: content/results/gen_978_1.png (deflated 9%)\n","  adding: content/results/gen_980_2.png (deflated 8%)\n","  adding: content/results/gen_978_4.png (deflated 9%)\n","  adding: 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9%)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"qGojbIXqHPiX","colab_type":"code","outputId":"0e5b23ee-d9c5-4889-9bc7-785a4c03ff88","executionInfo":{"status":"ok","timestamp":1558081232456,"user_tz":-330,"elapsed":3618997,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":71}},"source":["# download logs\n","!zip -r /content/logs.zip /content/logs\n","\n","files.download(\"/content/logs.zip\")"],"execution_count":0,"outputs":[{"output_type":"stream","text":["  adding: content/logs/ (stored 0%)\n","  adding: content/logs/events.out.tfevents.1558077652.ea9e2f41bc2a (deflated 91%)\n","  adding: content/logs/events.out.tfevents.1558077651.ea9e2f41bc2a (deflated 92%)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"Wvok2cmfHlcG","colab_type":"code","colab":{}},"source":["#download weights/checkpoints\n","files.download(\"/content/epoch.txt\")\n","files.download(\"/content/stage1_dis.h5\")\n","files.download(\"/content/stage1_gen.h5\")"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"QCYyOZMRXzfv","colab_type":"code","outputId":"32483324-c872-4fb4-931c-889e61bf1ac0","executionInfo":{"status":"ok","timestamp":1558081284784,"user_tz":-330,"elapsed":3671321,"user":{"displayName":"jitesh pabla","photoUrl":"https://lh3.googleusercontent.com/-ZLjc8KUZpuk/AAAAAAAAAAI/AAAAAAAAADU/kKri8HM-N0o/s64/photo.jpg","userId":"16612763257379949701"}},"colab":{"base_uri":"https://localhost:8080/","height":53}},"source":["# Install the PyDrive wrapper & import libraries.\n","# This only needs to be done once in a notebook.\n","!pip install -U -q PyDrive\n","from pydrive.auth import GoogleAuth\n","from pydrive.drive import GoogleDrive\n","from google.colab import auth\n","from oauth2client.client import GoogleCredentials"],"execution_count":0,"outputs":[{"output_type":"stream","text":["\u001b[?25l\r\u001b[K     |▎                               | 10kB 18.0MB/s eta 0:00:01\r\u001b[K     |▋                               | 20kB 2.2MB/s eta 0:00:01\r\u001b[K     |█                               | 30kB 3.3MB/s eta 0:00:01\r\u001b[K     |█▎                              | 40kB 2.1MB/s eta 0:00:01\r\u001b[K     |█▋                              | 51kB 2.6MB/s eta 0:00:01\r\u001b[K     |██                              | 61kB 3.1MB/s eta 0:00:01\r\u001b[K     |██▎                             | 71kB 3.6MB/s eta 0:00:01\r\u001b[K     |██▋                             | 81kB 4.1MB/s eta 0:00:01\r\u001b[K     |███                             | 92kB 4.6MB/s eta 0:00:01\r\u001b[K     |███▎                            | 102kB 3.4MB/s eta 0:00:01\r\u001b[K     |███▋                            | 112kB 3.4MB/s eta 0:00:01\r\u001b[K     |████                            | 122kB 3.4MB/s eta 0:00:01\r\u001b[K    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done once in a notebook.\n","auth.authenticate_user()\n","gauth = GoogleAuth()\n","gauth.credentials = GoogleCredentials.get_application_default()\n","drive = GoogleDrive(gauth)"],"execution_count":0,"outputs":[{"output_type":"error","ename":"KeyboardInterrupt","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m<ipython-input-41-3254a9bed9fd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mauth\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauthenticate_user\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mgauth\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0;32mif\u001b[0m \u001b[0mclear_output\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0m_noop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    146\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mcontext_manager\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 147\u001b[0;31m       \u001b[0m_gcloud_login\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    148\u001b[0m     \u001b[0m_install_adc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    149\u001b[0m     \u001b[0mcolab_tpu_addr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menviron\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'COLAB_TPU_ADDR'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m''\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.6/dist-packages/google/colab/auth.py\u001b[0m in \u001b[0;36m_gcloud_login\u001b[0;34m()\u001b[0m\n\u001b[1;32m     80\u001b[0m   \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     81\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 82\u001b[0;31m       \u001b[0m_time\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     83\u001b[0m       \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfsync\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     84\u001b[0m       \u001b[0mprompt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "]}]},{"cell_type":"code","metadata":{"id":"nGYJWLTGm9R4","colab_type":"code","colab":{}},"source":["# Create & upload a file.\n","uploaded = drive.CreateFile({'title': 'stage1_dis.h5'})\n","uploaded.SetContentFile('stage1_dis.h5')\n","uploaded.Upload()\n","print('Uploaded file with ID {}'.format(uploaded.get('id')))"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"glMY1sSNnFQi","colab_type":"code","colab":{}},"source":["# Create & upload a file.\n","uploaded = drive.CreateFile({'title': 'stage1_gen.h5'})\n","uploaded.SetContentFile('stage1_gen.h5')\n","uploaded.Upload()\n","print('Uploaded file with ID {}'.format(uploaded.get('id')))"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"nfRs1DsqnJVc","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]}]}