GAN_Fashion_Mnist.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "GAN_CIFAR10_01July2021.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "a9ugRZCMqGF8"
      },
      "source": [
        "from keras.datasets import fashion_mnist\n",
        "from keras.layers import Input, Dense, Reshape, Flatten\n",
        "from keras.layers import BatchNormalization\n",
        "from keras.layers.advanced_activations import LeakyReLU\n",
        "from keras.models import Sequential, Model\n",
        "from keras.optimizers import Adam\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import tensorflow as tf"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "u-TTVnTZaYek",
        "outputId": "7704806e-74ae-4506-d1de-36e30c4a4e18"
      },
      "source": [
        "print(tf.__version__)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2.5.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "qw6NIoFuqZuZ",
        "outputId": "d3afdcaa-b459-437b-d9bd-1592a786e68b"
      },
      "source": [
        "(X_train, _), (_, _) = fashion_mnist.load_data()\n",
        "print(X_train[0].shape)\n",
        "plt.imshow(X_train[0])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(28, 28)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fb3ac3a8210>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HA2ByAaAqrzZ",
        "outputId": "278e6ec8-b21e-4e6b-afbf-d9e6cd91353e"
      },
      "source": [
        "#Define input image dimensions\n",
        "#Large images take too much time and resources.\n",
        "img_rows = 28\n",
        "img_cols = 28\n",
        "channels = 1\n",
        "img_shape = (img_rows, img_cols, channels)\n",
        "print(img_shape)\n",
        "noise_shape = (100,) #1D array of size 100 (latent vector / noise)\n",
        "print(noise_shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(28, 28, 1)\n",
            "(100,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LREpEcogqxRw"
      },
      "source": [
        "##########################################################################\n",
        "#Given input of noise (latent) vector, the Generator produces an image.\n",
        "def build_generator():\n",
        "\n",
        "    noise_shape = (100,) #1D array of size 100 (latent vector / noise)\n",
        "    print(noise_shape)\n",
        "\n",
        "#Define your generator network \n",
        "#Here we are only using Dense layers. But network can be complicated based\n",
        "#on the application. For example, you can use VGG for super res. GAN.         \n",
        "\n",
        "    model = Sequential()\n",
        "\n",
        "    model.add(Dense(256, input_shape=noise_shape))\n",
        "    model.add(LeakyReLU(alpha=0.2))\n",
        "    model.add(BatchNormalization(momentum=0.8))\n",
        "    model.add(Dense(512))\n",
        "    model.add(LeakyReLU(alpha=0.2))\n",
        "    model.add(BatchNormalization(momentum=0.8))\n",
        "    model.add(Dense(1024))\n",
        "    model.add(LeakyReLU(alpha=0.2))\n",
        "    model.add(BatchNormalization(momentum=0.8))\n",
        "    \n",
        "    model.add(Dense(np.prod(img_shape), activation='tanh'))\n",
        "    model.add(Reshape(img_shape))\n",
        "\n",
        "    model.summary()\n",
        "\n",
        "    noise = Input(shape=noise_shape)\n",
        "    img = model(noise)    #Generated image\n",
        "\n",
        "    return Model(noise, img)\n",
        "\n",
        "#Alpha — α is a hyperparameter which controls the underlying value to which the\n",
        "#function saturates negatives network inputs.\n",
        "#Momentum — Speed up the training\n",
        "##########################################################################"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ONDvA55hroB5"
      },
      "source": [
        "#Given an input image, the Discriminator outputs the likelihood of the image being real.\n",
        "    #Binary classification - true or false (we're calling it validity)\n",
        "\n",
        "def build_discriminator():\n",
        "\n",
        "\n",
        "    model = Sequential()\n",
        "\n",
        "    model.add(Flatten(input_shape=img_shape))\n",
        "    model.add(Dense(512))\n",
        "    model.add(LeakyReLU(alpha=0.2))\n",
        "    model.add(Dense(256))\n",
        "    model.add(LeakyReLU(alpha=0.2))\n",
        "    model.add(Dense(1, activation='sigmoid'))\n",
        "    model.summary()\n",
        "\n",
        "    img = Input(shape=img_shape)\n",
        "    validity = model(img)\n",
        "\n",
        "    return Model(img, validity)\n",
        "#The validity is the Discriminator’s guess of input being real or not."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BCC3Cd-BrKW4",
        "outputId": "82dd4ce2-549a-426c-9230-5b502c3e2e07"
      },
      "source": [
        "#Now that we have constructed our two models it’s time to pit them against each other.\n",
        "#We do this by defining a training function, loading the data set, re-scaling our training\n",
        "#images and setting the ground truths. \n",
        "def train(epochs, batch_size=128, save_interval=50):\n",
        "\n",
        "    # Load the dataset\n",
        "    (X_train, _), (_, _) = fashion_mnist.load_data()\n",
        "\n",
        "\n",
        "    # Convert to float and Rescale -1 to 1 (Can also do 0 to 1)\n",
        "    X_train = (X_train.astype(np.float32) - 127.5) / 127.5\n",
        "\n",
        "#Add channels dimension. As the input to our gen and discr. has a shape 28x28x1.\n",
        "    X_train = np.expand_dims(X_train, axis=3) \n",
        "\n",
        "    half_batch = int(batch_size / 2)\n",
        "\n",
        "#We then loop through a number of epochs to train our Discriminator by first selecting\n",
        "#a random batch of images from our true dataset, generating a set of images from our\n",
        "#Generator, feeding both set of images into our Discriminator, and finally setting the\n",
        "#loss parameters for both the real and fake images, as well as the combined loss. \n",
        "    \n",
        "    for epoch in range(epochs):\n",
        "\n",
        "        # ---------------------\n",
        "        #  Train Discriminator\n",
        "        # ---------------------\n",
        "\n",
        "        # Select a random half batch of real images\n",
        "        idx = np.random.randint(0, X_train.shape[0], half_batch)\n",
        "        imgs = X_train[idx]\n",
        "\n",
        " \n",
        "        noise = np.random.normal(0, 1, (half_batch, 100))\n",
        "\n",
        "        # Generate a half batch of fake images\n",
        "        gen_imgs = generator.predict(noise)\n",
        "        #print(imgs[0])\n",
        "        #print(imgs[0].shape)\n",
        "        #print(gen_imgs[0])\n",
        "        #imgs.reshape(-1, 3, 32, 32)\n",
        "        # Train the discriminator on real and fake images, separately\n",
        "        #Research showed that separate training is more effective. \n",
        "        d_loss_real = discriminator.train_on_batch(imgs, np.ones((half_batch, 1)))\n",
        "        d_loss_fake = discriminator.train_on_batch(gen_imgs, np.zeros((half_batch, 1)))\n",
        "    #take average loss from real and fake images. \n",
        "    #\n",
        "        d_loss = 0.5 * np.add(d_loss_real, d_loss_fake) \n",
        "\n",
        "#And within the same loop we train our Generator, by setting the input noise and\n",
        "#ultimately training the Generator to have the Discriminator label its samples as valid\n",
        "#by specifying the gradient loss.\n",
        "        # ---------------------\n",
        "        #  Train Generator\n",
        "        # ---------------------\n",
        "#Create noise vectors as input for generator. \n",
        "#Create as many noise vectors as defined by the batch size. \n",
        "#Based on normal distribution. Output will be of size (batch size, 100)\n",
        "        noise = np.random.normal(0, 1, (batch_size, 100)) \n",
        "\n",
        "        # The generator wants the discriminator to label the generated samples\n",
        "        # as valid (ones)\n",
        "        #This is where the genrator is trying to trick discriminator into believing\n",
        "        #the generated image is true (hence value of 1 for y)\n",
        "        valid_y = np.array([1] * batch_size) #Creates an array of all ones of size=batch size\n",
        "\n",
        "        # Generator is part of combined where it got directly linked with the discriminator\n",
        "        # Train the generator with noise as x and 1 as y. \n",
        "        # Again, 1 as the output as it is adversarial and if generator did a great\n",
        "        #job of folling the discriminator then the output would be 1 (true)\n",
        "        g_loss = combined.train_on_batch(noise, valid_y)\n",
        "\n",
        "\n",
        "#Additionally, in order for us to keep track of our training process, we print the\n",
        "#progress and save the sample image output depending on the epoch interval specified.  \n",
        "# Plot the progress\n",
        "        \n",
        "        print (\"%d [D loss: %f, acc.: %.2f%%] [G loss: %f]\" % (epoch, d_loss[0], 100*d_loss[1], g_loss))\n",
        "\n",
        "        # If at save interval => save generated image samples\n",
        "        if epoch % save_interval == 0:\n",
        "            save_imgs(epoch)\n",
        "\n",
        "#when the specific sample_interval is hit, we call the\n",
        "#sample_image function. Which looks as follows.\n",
        "\n",
        "def save_imgs(epoch):\n",
        "    r, c = 5, 5\n",
        "    noise = np.random.normal(0, 1, (r * c, 100))\n",
        "    gen_imgs = generator.predict(noise)\n",
        "\n",
        "    # Rescale images 0 - 1\n",
        "    gen_imgs = 0.5 * gen_imgs + 0.5\n",
        "\n",
        "    fig, axs = plt.subplots(r, c)\n",
        "    cnt = 0\n",
        "    for i in range(r):\n",
        "        for j in range(c):\n",
        "            axs[i,j].imshow(gen_imgs[cnt, :,:,0], cmap='gray')\n",
        "            axs[i,j].axis('off')\n",
        "            cnt += 1\n",
        "    fig.savefig(\"/content/images/fashion_mnist_%d.png\" % epoch)\n",
        "    plt.close()\n",
        "#This function saves our images for us to view\n",
        "\n",
        "\n",
        "##############################################################################\n",
        "\n",
        "#Let us also define our optimizer for easy use later on.\n",
        "#That way if you change your mind, you can change it easily here\n",
        "optimizer = Adam(0.0002, 0.5)  #Learning rate and momentum.\n",
        "\n",
        "# Build and compile the discriminator first. \n",
        "#Generator will be trained as part of the combined model, later. \n",
        "#pick the loss function and the type of metric to keep track.                 \n",
        "#Binary cross entropy as we are doing prediction and it is a better\n",
        "#loss function compared to MSE or other. \n",
        "discriminator = build_discriminator()\n",
        "discriminator.compile(loss='binary_crossentropy',\n",
        "    optimizer=optimizer,\n",
        "    metrics=['accuracy'])\n",
        "\n",
        "#build and compile our Discriminator, pick the loss function\n",
        "\n",
        "#SInce we are only generating (faking) images, let us not track any metrics.\n",
        "generator = build_generator()\n",
        "generator.compile(loss='binary_crossentropy', optimizer=optimizer)\n",
        "\n",
        "##This builds the Generator and defines the input noise. \n",
        "#In a GAN the Generator network takes noise z as an input to produce its images.  \n",
        "z = Input(shape=(100,))   #Our random input to the generator\n",
        "img = generator(z)\n",
        "\n",
        "#This ensures that when we combine our networks we only train the Generator.\n",
        "#While generator training we do not want discriminator weights to be adjusted. \n",
        "#This Doesn't affect the above descriminator training.     \n",
        "discriminator.trainable = False  \n",
        "\n",
        "#This specifies that our Discriminator will take the images generated by our Generator\n",
        "#and true dataset and set its output to a parameter called valid, which will indicate\n",
        "#whether the input is real or not.  \n",
        "valid = discriminator(img)  #Validity check on the generated image\n",
        "\n",
        "\n",
        "#Here we combined the models and also set our loss function and optimizer. \n",
        "#Again, we are only training the generator here. \n",
        "#The ultimate goal here is for the Generator to fool the Discriminator.  \n",
        "# The combined model  (stacked generator and discriminator) takes\n",
        "# noise as input => generates images => determines validity\n",
        "\n",
        "combined = Model(z, valid)\n",
        "combined.compile(loss='binary_crossentropy', optimizer=optimizer)\n",
        "\n",
        "\n",
        "train(epochs=25000, batch_size=32, save_interval=10)\n",
        "\n",
        "#Save model for future use to generate fake images\n",
        "#Not tested yet... make sure right model is being saved..\n",
        "#Compare with GAN4\n",
        "\n",
        "generator.save('generator_model.h5')  #Test the model on GAN4_predict...\n",
        "#Change epochs back to 30K\n",
        "                \n",
        "#Epochs dictate the number of backward and forward propagations, the batch_size\n",
        "#indicates the number of training samples per backward/forward propagation, and the\n",
        "#sample_interval specifies after how many epochs we call our sample_image function."
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "8042 [D loss: 0.673631, acc.: 62.50%] [G loss: 0.855771]\n",
            "8043 [D loss: 0.636400, acc.: 65.62%] [G loss: 0.868704]\n",
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            "8069 [D loss: 0.727382, acc.: 40.62%] [G loss: 0.796109]\n",
            "8070 [D loss: 0.687267, acc.: 46.88%] [G loss: 0.753510]\n",
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            "8072 [D loss: 0.700759, acc.: 65.62%] [G loss: 0.820592]\n",
            "8073 [D loss: 0.671907, acc.: 56.25%] [G loss: 0.861321]\n",
            "8074 [D loss: 0.684190, acc.: 62.50%] [G loss: 0.822874]\n",
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            "8076 [D loss: 0.642366, acc.: 68.75%] [G loss: 0.818194]\n",
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            "8078 [D loss: 0.672218, acc.: 50.00%] [G loss: 0.775535]\n",
            "8079 [D loss: 0.709546, acc.: 53.12%] [G loss: 0.831203]\n",
            "8080 [D loss: 0.632780, acc.: 71.88%] [G loss: 0.804582]\n",
            "8081 [D loss: 0.644955, acc.: 62.50%] [G loss: 0.775133]\n",
            "8082 [D loss: 0.691936, acc.: 46.88%] [G loss: 0.862645]\n",
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            "8084 [D loss: 0.701448, acc.: 59.38%] [G loss: 0.834618]\n",
            "8085 [D loss: 0.666724, acc.: 56.25%] [G loss: 0.892179]\n",
            "8086 [D loss: 0.698568, acc.: 59.38%] [G loss: 0.781758]\n",
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            "8089 [D loss: 0.663936, acc.: 59.38%] [G loss: 0.862689]\n",
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            "8091 [D loss: 0.678480, acc.: 59.38%] [G loss: 0.843826]\n",
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            "8093 [D loss: 0.699135, acc.: 56.25%] [G loss: 0.895415]\n",
            "8094 [D loss: 0.696450, acc.: 50.00%] [G loss: 0.826459]\n",
            "8095 [D loss: 0.689350, acc.: 50.00%] [G loss: 0.832709]\n",
            "8096 [D loss: 0.617435, acc.: 65.62%] [G loss: 0.872445]\n",
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            "8099 [D loss: 0.757264, acc.: 43.75%] [G loss: 0.764937]\n",
            "8100 [D loss: 0.722427, acc.: 43.75%] [G loss: 0.842966]\n",
            "8101 [D loss: 0.645432, acc.: 62.50%] [G loss: 0.881767]\n",
            "8102 [D loss: 0.643186, acc.: 68.75%] [G loss: 0.841428]\n",
            "8103 [D loss: 0.712959, acc.: 50.00%] [G loss: 0.828907]\n",
            "8104 [D loss: 0.733195, acc.: 43.75%] [G loss: 0.797311]\n",
            "8105 [D loss: 0.613562, acc.: 68.75%] [G loss: 0.860413]\n",
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            "8107 [D loss: 0.717428, acc.: 46.88%] [G loss: 0.786838]\n",
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            "8109 [D loss: 0.659633, acc.: 59.38%] [G loss: 0.799197]\n",
            "8110 [D loss: 0.677320, acc.: 62.50%] [G loss: 0.765642]\n",
            "8111 [D loss: 0.667515, acc.: 62.50%] [G loss: 0.831762]\n",
            "8112 [D loss: 0.697248, acc.: 53.12%] [G loss: 0.799552]\n",
            "8113 [D loss: 0.649869, acc.: 65.62%] [G loss: 0.771749]\n",
            "8114 [D loss: 0.622154, acc.: 71.88%] [G loss: 0.744765]\n",
            "8115 [D loss: 0.724085, acc.: 40.62%] [G loss: 0.830838]\n",
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            "8118 [D loss: 0.654289, acc.: 59.38%] [G loss: 0.769995]\n",
            "8119 [D loss: 0.737241, acc.: 53.12%] [G loss: 0.786798]\n",
            "8120 [D loss: 0.702334, acc.: 43.75%] [G loss: 0.828642]\n",
            "8121 [D loss: 0.618735, acc.: 71.88%] [G loss: 0.807060]\n",
            "8122 [D loss: 0.649406, acc.: 59.38%] [G loss: 0.857500]\n",
            "8123 [D loss: 0.702614, acc.: 50.00%] [G loss: 0.765062]\n",
            "8124 [D loss: 0.645904, acc.: 50.00%] [G loss: 0.803083]\n",
            "8125 [D loss: 0.642344, acc.: 65.62%] [G loss: 0.872883]\n",
            "8126 [D loss: 0.699780, acc.: 50.00%] [G loss: 0.807175]\n",
            "8127 [D loss: 0.684348, acc.: 56.25%] [G loss: 0.778221]\n",
            "8128 [D loss: 0.699697, acc.: 59.38%] [G loss: 0.837855]\n",
            "8129 [D loss: 0.714017, acc.: 59.38%] [G loss: 0.786603]\n",
            "8130 [D loss: 0.746076, acc.: 43.75%] [G loss: 0.834659]\n",
            "8131 [D loss: 0.673517, acc.: 59.38%] [G loss: 0.838250]\n",
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            "8133 [D loss: 0.622911, acc.: 62.50%] [G loss: 0.801284]\n",
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            "8139 [D loss: 0.702778, acc.: 46.88%] [G loss: 0.797612]\n",
            "8140 [D loss: 0.636514, acc.: 65.62%] [G loss: 0.816429]\n",
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            "8147 [D loss: 0.679772, acc.: 50.00%] [G loss: 0.802580]\n",
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            "8152 [D loss: 0.714555, acc.: 56.25%] [G loss: 0.836745]\n",
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            "8156 [D loss: 0.802415, acc.: 37.50%] [G loss: 0.783883]\n",
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            "8161 [D loss: 0.648694, acc.: 59.38%] [G loss: 0.769863]\n",
            "8162 [D loss: 0.705974, acc.: 53.12%] [G loss: 0.798277]\n",
            "8163 [D loss: 0.714099, acc.: 56.25%] [G loss: 0.830073]\n",
            "8164 [D loss: 0.653041, acc.: 68.75%] [G loss: 0.829578]\n",
            "8165 [D loss: 0.670890, acc.: 62.50%] [G loss: 0.781509]\n",
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            "8167 [D loss: 0.726487, acc.: 50.00%] [G loss: 0.784257]\n",
            "8168 [D loss: 0.623210, acc.: 65.62%] [G loss: 0.772558]\n",
            "8169 [D loss: 0.713104, acc.: 46.88%] [G loss: 0.819109]\n",
            "8170 [D loss: 0.650868, acc.: 71.88%] [G loss: 0.777323]\n",
            "8171 [D loss: 0.711350, acc.: 53.12%] [G loss: 0.795381]\n",
            "8172 [D loss: 0.622673, acc.: 68.75%] [G loss: 0.788741]\n",
            "8173 [D loss: 0.654607, acc.: 59.38%] [G loss: 0.815518]\n",
            "8174 [D loss: 0.663855, acc.: 59.38%] [G loss: 0.816456]\n",
            "8175 [D loss: 0.709272, acc.: 53.12%] [G loss: 0.874622]\n",
            "8176 [D loss: 0.746418, acc.: 43.75%] [G loss: 0.771714]\n",
            "8177 [D loss: 0.703625, acc.: 50.00%] [G loss: 0.782495]\n",
            "8178 [D loss: 0.763457, acc.: 53.12%] [G loss: 0.840656]\n",
            "8179 [D loss: 0.679471, acc.: 56.25%] [G loss: 0.792044]\n",
            "8180 [D loss: 0.729889, acc.: 43.75%] [G loss: 0.802270]\n",
            "8181 [D loss: 0.613723, acc.: 75.00%] [G loss: 0.853486]\n",
            "8182 [D loss: 0.660143, acc.: 59.38%] [G loss: 0.812906]\n",
            "8183 [D loss: 0.646154, acc.: 56.25%] [G loss: 0.855782]\n",
            "8184 [D loss: 0.642721, acc.: 53.12%] [G loss: 0.807414]\n",
            "8185 [D loss: 0.634464, acc.: 53.12%] [G loss: 0.879990]\n",
            "8186 [D loss: 0.680622, acc.: 59.38%] [G loss: 0.838170]\n",
            "8187 [D loss: 0.771978, acc.: 40.62%] [G loss: 0.790275]\n",
            "8188 [D loss: 0.614136, acc.: 68.75%] [G loss: 0.834195]\n",
            "8189 [D loss: 0.780060, acc.: 43.75%] [G loss: 0.847356]\n",
            "8190 [D loss: 0.702181, acc.: 50.00%] [G loss: 0.810976]\n",
            "8191 [D loss: 0.690498, acc.: 53.12%] [G loss: 0.784664]\n",
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            "8194 [D loss: 0.649585, acc.: 65.62%] [G loss: 0.860839]\n",
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            "8196 [D loss: 0.654690, acc.: 68.75%] [G loss: 0.787901]\n",
            "8197 [D loss: 0.707098, acc.: 56.25%] [G loss: 0.776111]\n",
            "8198 [D loss: 0.667848, acc.: 71.88%] [G loss: 0.800011]\n",
            "8199 [D loss: 0.733705, acc.: 50.00%] [G loss: 0.825450]\n",
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            "8201 [D loss: 0.713672, acc.: 53.12%] [G loss: 0.783080]\n",
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            "8204 [D loss: 0.629111, acc.: 75.00%] [G loss: 0.805355]\n",
            "8205 [D loss: 0.659208, acc.: 56.25%] [G loss: 0.798432]\n",
            "8206 [D loss: 0.656885, acc.: 62.50%] [G loss: 0.805428]\n",
            "8207 [D loss: 0.705592, acc.: 50.00%] [G loss: 0.801729]\n",
            "8208 [D loss: 0.613476, acc.: 62.50%] [G loss: 0.814882]\n",
            "8209 [D loss: 0.685487, acc.: 53.12%] [G loss: 0.751872]\n",
            "8210 [D loss: 0.662373, acc.: 65.62%] [G loss: 0.759233]\n",
            "8211 [D loss: 0.705584, acc.: 53.12%] [G loss: 0.713451]\n",
            "8212 [D loss: 0.722131, acc.: 56.25%] [G loss: 0.749280]\n",
            "8213 [D loss: 0.719837, acc.: 46.88%] [G loss: 0.738160]\n",
            "8214 [D loss: 0.758859, acc.: 40.62%] [G loss: 0.780094]\n",
            "8215 [D loss: 0.710025, acc.: 46.88%] [G loss: 0.788788]\n",
            "8216 [D loss: 0.657828, acc.: 62.50%] [G loss: 0.761434]\n",
            "8217 [D loss: 0.704121, acc.: 53.12%] [G loss: 0.804396]\n",
            "8218 [D loss: 0.618358, acc.: 68.75%] [G loss: 0.801819]\n",
            "8219 [D loss: 0.661762, acc.: 59.38%] [G loss: 0.810129]\n",
            "8220 [D loss: 0.705828, acc.: 56.25%] [G loss: 0.816021]\n",
            "8221 [D loss: 0.695511, acc.: 62.50%] [G loss: 0.841455]\n",
            "8222 [D loss: 0.720955, acc.: 46.88%] [G loss: 0.866553]\n",
            "8223 [D loss: 0.666282, acc.: 59.38%] [G loss: 0.765993]\n",
            "8224 [D loss: 0.650340, acc.: 59.38%] [G loss: 0.789733]\n",
            "8225 [D loss: 0.699620, acc.: 56.25%] [G loss: 0.788959]\n",
            "8226 [D loss: 0.730199, acc.: 59.38%] [G loss: 0.768434]\n",
            "8227 [D loss: 0.615894, acc.: 68.75%] [G loss: 0.823255]\n",
            "8228 [D loss: 0.690858, acc.: 59.38%] [G loss: 0.816019]\n",
            "8229 [D loss: 0.694613, acc.: 53.12%] [G loss: 0.860991]\n",
            "8230 [D loss: 0.644202, acc.: 62.50%] [G loss: 0.809387]\n",
            "8231 [D loss: 0.683023, acc.: 59.38%] [G loss: 0.802292]\n",
            "8232 [D loss: 0.702438, acc.: 53.12%] [G loss: 0.813254]\n",
            "8233 [D loss: 0.654727, acc.: 56.25%] [G loss: 0.801997]\n",
            "8234 [D loss: 0.662465, acc.: 59.38%] [G loss: 0.823879]\n",
            "8235 [D loss: 0.710922, acc.: 62.50%] [G loss: 0.797030]\n",
            "8236 [D loss: 0.669679, acc.: 59.38%] [G loss: 0.860795]\n",
            "8237 [D loss: 0.665011, acc.: 59.38%] [G loss: 0.831660]\n",
            "8238 [D loss: 0.571327, acc.: 78.12%] [G loss: 0.865401]\n",
            "8239 [D loss: 0.730527, acc.: 37.50%] [G loss: 0.792756]\n",
            "8240 [D loss: 0.737633, acc.: 59.38%] [G loss: 0.843086]\n",
            "8241 [D loss: 0.742279, acc.: 40.62%] [G loss: 0.842556]\n",
            "8242 [D loss: 0.658707, acc.: 62.50%] [G loss: 0.828064]\n",
            "8243 [D loss: 0.655230, acc.: 53.12%] [G loss: 0.762093]\n",
            "8244 [D loss: 0.697556, acc.: 56.25%] [G loss: 0.822251]\n",
            "8245 [D loss: 0.698722, acc.: 59.38%] [G loss: 0.772077]\n",
            "8246 [D loss: 0.626828, acc.: 65.62%] [G loss: 0.828105]\n",
            "8247 [D loss: 0.724678, acc.: 40.62%] [G loss: 0.795873]\n",
            "8248 [D loss: 0.698499, acc.: 53.12%] [G loss: 0.852794]\n",
            "8249 [D loss: 0.699335, acc.: 43.75%] [G loss: 0.846897]\n",
            "8250 [D loss: 0.644447, acc.: 65.62%] [G loss: 0.875484]\n",
            "8251 [D loss: 0.627204, acc.: 68.75%] [G loss: 0.786773]\n",
            "8252 [D loss: 0.664234, acc.: 59.38%] [G loss: 0.822914]\n",
            "8253 [D loss: 0.736924, acc.: 37.50%] [G loss: 0.811871]\n",
            "8254 [D loss: 0.644770, acc.: 59.38%] [G loss: 0.811493]\n",
            "8255 [D loss: 0.728609, acc.: 40.62%] [G loss: 0.841332]\n",
            "8256 [D loss: 0.645116, acc.: 68.75%] [G loss: 0.835199]\n",
            "8257 [D loss: 0.649108, acc.: 62.50%] [G loss: 0.805775]\n",
            "8258 [D loss: 0.764587, acc.: 43.75%] [G loss: 0.800383]\n",
            "8259 [D loss: 0.726656, acc.: 43.75%] [G loss: 0.822252]\n",
            "8260 [D loss: 0.683462, acc.: 43.75%] [G loss: 0.804778]\n",
            "8261 [D loss: 0.709112, acc.: 56.25%] [G loss: 0.849507]\n",
            "8262 [D loss: 0.633937, acc.: 62.50%] [G loss: 0.845352]\n",
            "8263 [D loss: 0.742046, acc.: 43.75%] [G loss: 0.806167]\n",
            "8264 [D loss: 0.736798, acc.: 53.12%] [G loss: 0.811652]\n",
            "8265 [D loss: 0.730813, acc.: 43.75%] [G loss: 0.834690]\n",
            "8266 [D loss: 0.785077, acc.: 31.25%] [G loss: 0.841631]\n",
            "8267 [D loss: 0.619685, acc.: 65.62%] [G loss: 0.907829]\n",
            "8268 [D loss: 0.637161, acc.: 68.75%] [G loss: 0.866790]\n",
            "8269 [D loss: 0.664035, acc.: 59.38%] [G loss: 0.833223]\n",
            "8270 [D loss: 0.619126, acc.: 71.88%] [G loss: 0.814642]\n",
            "8271 [D loss: 0.579061, acc.: 78.12%] [G loss: 0.828689]\n",
            "8272 [D loss: 0.685358, acc.: 62.50%] [G loss: 0.798355]\n",
            "8273 [D loss: 0.712742, acc.: 50.00%] [G loss: 0.728950]\n",
            "8274 [D loss: 0.793113, acc.: 43.75%] [G loss: 0.768436]\n",
            "8275 [D loss: 0.659061, acc.: 65.62%] [G loss: 0.783181]\n",
            "8276 [D loss: 0.627617, acc.: 56.25%] [G loss: 0.785132]\n",
            "8277 [D loss: 0.690796, acc.: 46.88%] [G loss: 0.779130]\n",
            "8278 [D loss: 0.653294, acc.: 62.50%] [G loss: 0.853018]\n",
            "8279 [D loss: 0.637914, acc.: 62.50%] [G loss: 0.803789]\n",
            "8280 [D loss: 0.667242, acc.: 50.00%] [G loss: 0.774086]\n",
            "8281 [D loss: 0.715586, acc.: 62.50%] [G loss: 0.747357]\n",
            "8282 [D loss: 0.627367, acc.: 78.12%] [G loss: 0.759800]\n",
            "8283 [D loss: 0.681071, acc.: 59.38%] [G loss: 0.770296]\n",
            "8284 [D loss: 0.660901, acc.: 59.38%] [G loss: 0.752277]\n",
            "8285 [D loss: 0.629281, acc.: 68.75%] [G loss: 0.762240]\n",
            "8286 [D loss: 0.620335, acc.: 65.62%] [G loss: 0.775192]\n",
            "8287 [D loss: 0.659409, acc.: 65.62%] [G loss: 0.767630]\n",
            "8288 [D loss: 0.708703, acc.: 46.88%] [G loss: 0.732323]\n",
            "8289 [D loss: 0.812085, acc.: 34.38%] [G loss: 0.793964]\n",
            "8290 [D loss: 0.742029, acc.: 43.75%] [G loss: 0.861136]\n",
            "8291 [D loss: 0.681370, acc.: 50.00%] [G loss: 0.830331]\n",
            "8292 [D loss: 0.695964, acc.: 50.00%] [G loss: 0.814000]\n",
            "8293 [D loss: 0.724524, acc.: 59.38%] [G loss: 0.796337]\n",
            "8294 [D loss: 0.698234, acc.: 53.12%] [G loss: 0.770868]\n",
            "8295 [D loss: 0.648144, acc.: 62.50%] [G loss: 0.816525]\n",
            "8296 [D loss: 0.650423, acc.: 59.38%] [G loss: 0.795555]\n",
            "8297 [D loss: 0.688788, acc.: 62.50%] [G loss: 0.820641]\n",
            "8298 [D loss: 0.664389, acc.: 56.25%] [G loss: 0.877016]\n",
            "8299 [D loss: 0.637967, acc.: 65.62%] [G loss: 0.817408]\n",
            "8300 [D loss: 0.742655, acc.: 50.00%] [G loss: 0.809923]\n",
            "8301 [D loss: 0.719268, acc.: 46.88%] [G loss: 0.823712]\n",
            "8302 [D loss: 0.678115, acc.: 68.75%] [G loss: 0.787319]\n",
            "8303 [D loss: 0.695833, acc.: 40.62%] [G loss: 0.789227]\n",
            "8304 [D loss: 0.725456, acc.: 53.12%] [G loss: 0.812209]\n",
            "8305 [D loss: 0.673003, acc.: 53.12%] [G loss: 0.819062]\n",
            "8306 [D loss: 0.698942, acc.: 53.12%] [G loss: 0.844346]\n",
            "8307 [D loss: 0.678530, acc.: 53.12%] [G loss: 0.821862]\n",
            "8308 [D loss: 0.698422, acc.: 56.25%] [G loss: 0.807908]\n",
            "8309 [D loss: 0.601425, acc.: 71.88%] [G loss: 0.851275]\n",
            "8310 [D loss: 0.613201, acc.: 71.88%] [G loss: 0.875576]\n",
            "8311 [D loss: 0.807789, acc.: 46.88%] [G loss: 0.823851]\n",
            "8312 [D loss: 0.650394, acc.: 50.00%] [G loss: 0.809002]\n",
            "8313 [D loss: 0.602345, acc.: 75.00%] [G loss: 0.817171]\n",
            "8314 [D loss: 0.721362, acc.: 50.00%] [G loss: 0.796989]\n",
            "8315 [D loss: 0.667289, acc.: 56.25%] [G loss: 0.847803]\n",
            "8316 [D loss: 0.673574, acc.: 65.62%] [G loss: 0.851163]\n",
            "8317 [D loss: 0.653580, acc.: 56.25%] [G loss: 0.841650]\n",
            "8318 [D loss: 0.715673, acc.: 50.00%] [G loss: 0.788592]\n",
            "8319 [D loss: 0.737612, acc.: 46.88%] [G loss: 0.850374]\n",
            "8320 [D loss: 0.640393, acc.: 65.62%] [G loss: 0.831666]\n",
            "8321 [D loss: 0.735508, acc.: 56.25%] [G loss: 0.794432]\n",
            "8322 [D loss: 0.733508, acc.: 53.12%] [G loss: 0.801540]\n",
            "8323 [D loss: 0.743036, acc.: 43.75%] [G loss: 0.741003]\n",
            "8324 [D loss: 0.707165, acc.: 43.75%] [G loss: 0.803275]\n",
            "8325 [D loss: 0.692729, acc.: 59.38%] [G loss: 0.834211]\n",
            "8326 [D loss: 0.646575, acc.: 59.38%] [G loss: 0.850184]\n",
            "8327 [D loss: 0.670997, acc.: 65.62%] [G loss: 0.789207]\n",
            "8328 [D loss: 0.720430, acc.: 46.88%] [G loss: 0.762449]\n",
            "8329 [D loss: 0.674583, acc.: 65.62%] [G loss: 0.793628]\n",
            "8330 [D loss: 0.618273, acc.: 71.88%] [G loss: 0.768875]\n",
            "8331 [D loss: 0.667837, acc.: 53.12%] [G loss: 0.800849]\n",
            "8332 [D loss: 0.676077, acc.: 53.12%] [G loss: 0.770895]\n",
            "8333 [D loss: 0.679027, acc.: 62.50%] [G loss: 0.841274]\n",
            "8334 [D loss: 0.647584, acc.: 59.38%] [G loss: 0.846298]\n",
            "8335 [D loss: 0.716161, acc.: 56.25%] [G loss: 0.784126]\n",
            "8336 [D loss: 0.659641, acc.: 59.38%] [G loss: 0.807357]\n",
            "8337 [D loss: 0.676986, acc.: 53.12%] [G loss: 0.822974]\n",
            "8338 [D loss: 0.629330, acc.: 65.62%] [G loss: 0.896786]\n",
            "8339 [D loss: 0.691723, acc.: 59.38%] [G loss: 0.805915]\n",
            "8340 [D loss: 0.697944, acc.: 56.25%] [G loss: 0.838049]\n",
            "8341 [D loss: 0.700511, acc.: 43.75%] [G loss: 0.794699]\n",
            "8342 [D loss: 0.671049, acc.: 53.12%] [G loss: 0.799699]\n",
            "8343 [D loss: 0.794056, acc.: 37.50%] [G loss: 0.812614]\n",
            "8344 [D loss: 0.646616, acc.: 65.62%] [G loss: 0.883258]\n",
            "8345 [D loss: 0.683582, acc.: 46.88%] [G loss: 0.829224]\n",
            "8346 [D loss: 0.711800, acc.: 53.12%] [G loss: 0.893214]\n",
            "8347 [D loss: 0.670691, acc.: 59.38%] [G loss: 0.758855]\n",
            "8348 [D loss: 0.726773, acc.: 53.12%] [G loss: 0.792428]\n",
            "8349 [D loss: 0.699049, acc.: 50.00%] [G loss: 0.795267]\n",
            "8350 [D loss: 0.692222, acc.: 56.25%] [G loss: 0.811783]\n",
            "8351 [D loss: 0.682713, acc.: 59.38%] [G loss: 0.840608]\n",
            "8352 [D loss: 0.680188, acc.: 62.50%] [G loss: 0.765574]\n",
            "8353 [D loss: 0.647007, acc.: 65.62%] [G loss: 0.889131]\n",
            "8354 [D loss: 0.581437, acc.: 78.12%] [G loss: 0.832748]\n",
            "8355 [D loss: 0.695068, acc.: 62.50%] [G loss: 0.832219]\n",
            "8356 [D loss: 0.653455, acc.: 68.75%] [G loss: 0.827728]\n",
            "8357 [D loss: 0.649060, acc.: 59.38%] [G loss: 0.836846]\n",
            "8358 [D loss: 0.626339, acc.: 68.75%] [G loss: 0.868072]\n",
            "8359 [D loss: 0.643470, acc.: 62.50%] [G loss: 0.851540]\n",
            "8360 [D loss: 0.664028, acc.: 59.38%] [G loss: 0.818059]\n",
            "8361 [D loss: 0.665288, acc.: 65.62%] [G loss: 0.780033]\n",
            "8362 [D loss: 0.653465, acc.: 62.50%] [G loss: 0.819731]\n",
            "8363 [D loss: 0.723604, acc.: 50.00%] [G loss: 0.799186]\n",
            "8364 [D loss: 0.679202, acc.: 59.38%] [G loss: 0.801795]\n",
            "8365 [D loss: 0.678848, acc.: 56.25%] [G loss: 0.820151]\n",
            "8366 [D loss: 0.749051, acc.: 43.75%] [G loss: 0.805709]\n",
            "8367 [D loss: 0.682542, acc.: 56.25%] [G loss: 0.787749]\n",
            "8368 [D loss: 0.707634, acc.: 53.12%] [G loss: 0.816193]\n",
            "8369 [D loss: 0.677168, acc.: 65.62%] [G loss: 0.854034]\n",
            "8370 [D loss: 0.627739, acc.: 68.75%] [G loss: 0.787411]\n",
            "8371 [D loss: 0.623406, acc.: 68.75%] [G loss: 0.858643]\n",
            "8372 [D loss: 0.633050, acc.: 71.88%] [G loss: 0.830741]\n",
            "8373 [D loss: 0.706180, acc.: 53.12%] [G loss: 0.753174]\n",
            "8374 [D loss: 0.697810, acc.: 59.38%] [G loss: 0.840843]\n",
            "8375 [D loss: 0.690761, acc.: 62.50%] [G loss: 0.777165]\n",
            "8376 [D loss: 0.760483, acc.: 40.62%] [G loss: 0.791252]\n",
            "8377 [D loss: 0.695716, acc.: 53.12%] [G loss: 0.756839]\n",
            "8378 [D loss: 0.731454, acc.: 43.75%] [G loss: 0.783156]\n",
            "8379 [D loss: 0.766447, acc.: 37.50%] [G loss: 0.822154]\n",
            "8380 [D loss: 0.780441, acc.: 28.12%] [G loss: 0.837097]\n",
            "8381 [D loss: 0.679620, acc.: 56.25%] [G loss: 0.820362]\n",
            "8382 [D loss: 0.751438, acc.: 37.50%] [G loss: 0.851258]\n",
            "8383 [D loss: 0.702322, acc.: 46.88%] [G loss: 0.752500]\n",
            "8384 [D loss: 0.729307, acc.: 50.00%] [G loss: 0.757580]\n",
            "8385 [D loss: 0.668483, acc.: 56.25%] [G loss: 0.793749]\n",
            "8386 [D loss: 0.691208, acc.: 59.38%] [G loss: 0.755225]\n",
            "8387 [D loss: 0.684645, acc.: 43.75%] [G loss: 0.772522]\n",
            "8388 [D loss: 0.667188, acc.: 59.38%] [G loss: 0.773643]\n",
            "8389 [D loss: 0.638726, acc.: 65.62%] [G loss: 0.731314]\n",
            "8390 [D loss: 0.655793, acc.: 65.62%] [G loss: 0.799177]\n",
            "8391 [D loss: 0.662569, acc.: 68.75%] [G loss: 0.800190]\n",
            "8392 [D loss: 0.717941, acc.: 50.00%] [G loss: 0.760675]\n",
            "8393 [D loss: 0.714607, acc.: 53.12%] [G loss: 0.801372]\n",
            "8394 [D loss: 0.693887, acc.: 46.88%] [G loss: 0.814319]\n",
            "8395 [D loss: 0.655189, acc.: 65.62%] [G loss: 0.762408]\n",
            "8396 [D loss: 0.628194, acc.: 65.62%] [G loss: 0.811802]\n",
            "8397 [D loss: 0.651763, acc.: 65.62%] [G loss: 0.854272]\n",
            "8398 [D loss: 0.719828, acc.: 40.62%] [G loss: 0.853886]\n",
            "8399 [D loss: 0.622792, acc.: 65.62%] [G loss: 0.754088]\n",
            "8400 [D loss: 0.681537, acc.: 62.50%] [G loss: 0.839585]\n",
            "8401 [D loss: 0.725085, acc.: 50.00%] [G loss: 0.857185]\n",
            "8402 [D loss: 0.756757, acc.: 34.38%] [G loss: 0.750314]\n",
            "8403 [D loss: 0.654127, acc.: 62.50%] [G loss: 0.841005]\n",
            "8404 [D loss: 0.738478, acc.: 46.88%] [G loss: 0.795915]\n",
            "8405 [D loss: 0.716547, acc.: 43.75%] [G loss: 0.839926]\n",
            "8406 [D loss: 0.640711, acc.: 62.50%] [G loss: 0.877519]\n",
            "8407 [D loss: 0.621171, acc.: 71.88%] [G loss: 0.819122]\n",
            "8408 [D loss: 0.660513, acc.: 59.38%] [G loss: 0.817992]\n",
            "8409 [D loss: 0.744159, acc.: 40.62%] [G loss: 0.771267]\n",
            "8410 [D loss: 0.665322, acc.: 56.25%] [G loss: 0.785252]\n",
            "8411 [D loss: 0.662702, acc.: 59.38%] [G loss: 0.848732]\n",
            "8412 [D loss: 0.707469, acc.: 53.12%] [G loss: 0.854069]\n",
            "8413 [D loss: 0.739165, acc.: 43.75%] [G loss: 0.850030]\n",
            "8414 [D loss: 0.635962, acc.: 59.38%] [G loss: 0.876650]\n",
            "8415 [D loss: 0.690152, acc.: 50.00%] [G loss: 0.905174]\n",
            "8416 [D loss: 0.690489, acc.: 53.12%] [G loss: 0.875773]\n",
            "8417 [D loss: 0.690841, acc.: 43.75%] [G loss: 0.769992]\n",
            "8418 [D loss: 0.672955, acc.: 46.88%] [G loss: 0.784229]\n",
            "8419 [D loss: 0.696471, acc.: 43.75%] [G loss: 0.805853]\n",
            "8420 [D loss: 0.613637, acc.: 75.00%] [G loss: 0.763202]\n",
            "8421 [D loss: 0.759565, acc.: 43.75%] [G loss: 0.735244]\n",
            "8422 [D loss: 0.747927, acc.: 56.25%] [G loss: 0.820134]\n",
            "8423 [D loss: 0.694297, acc.: 56.25%] [G loss: 0.855343]\n",
            "8424 [D loss: 0.676718, acc.: 56.25%] [G loss: 0.837016]\n",
            "8425 [D loss: 0.684775, acc.: 56.25%] [G loss: 0.751542]\n",
            "8426 [D loss: 0.637406, acc.: 71.88%] [G loss: 0.808874]\n",
            "8427 [D loss: 0.699644, acc.: 62.50%] [G loss: 0.824194]\n",
            "8428 [D loss: 0.682130, acc.: 50.00%] [G loss: 0.856910]\n",
            "8429 [D loss: 0.668903, acc.: 62.50%] [G loss: 0.868765]\n",
            "8430 [D loss: 0.708221, acc.: 50.00%] [G loss: 0.842408]\n",
            "8431 [D loss: 0.697551, acc.: 53.12%] [G loss: 0.770230]\n",
            "8432 [D loss: 0.706226, acc.: 53.12%] [G loss: 0.817958]\n",
            "8433 [D loss: 0.671468, acc.: 68.75%] [G loss: 0.806149]\n",
            "8434 [D loss: 0.668804, acc.: 59.38%] [G loss: 0.813965]\n",
            "8435 [D loss: 0.662659, acc.: 62.50%] [G loss: 0.767751]\n",
            "8436 [D loss: 0.706919, acc.: 50.00%] [G loss: 0.781211]\n",
            "8437 [D loss: 0.668088, acc.: 56.25%] [G loss: 0.778444]\n",
            "8438 [D loss: 0.627672, acc.: 78.12%] [G loss: 0.796139]\n",
            "8439 [D loss: 0.683103, acc.: 56.25%] [G loss: 0.781983]\n",
            "8440 [D loss: 0.575676, acc.: 78.12%] [G loss: 0.806064]\n",
            "8441 [D loss: 0.704112, acc.: 56.25%] [G loss: 0.813133]\n",
            "8442 [D loss: 0.667111, acc.: 56.25%] [G loss: 0.850732]\n",
            "8443 [D loss: 0.630909, acc.: 68.75%] [G loss: 0.783287]\n",
            "8444 [D loss: 0.666083, acc.: 56.25%] [G loss: 0.784231]\n",
            "8445 [D loss: 0.641577, acc.: 62.50%] [G loss: 0.843968]\n",
            "8446 [D loss: 0.640241, acc.: 62.50%] [G loss: 0.897197]\n",
            "8447 [D loss: 0.620791, acc.: 71.88%] [G loss: 0.836553]\n",
            "8448 [D loss: 0.685815, acc.: 59.38%] [G loss: 0.951527]\n",
            "8449 [D loss: 0.704751, acc.: 46.88%] [G loss: 0.871204]\n",
            "8450 [D loss: 0.602564, acc.: 68.75%] [G loss: 0.857625]\n",
            "8451 [D loss: 0.716438, acc.: 50.00%] [G loss: 0.908380]\n",
            "8452 [D loss: 0.704954, acc.: 46.88%] [G loss: 0.905675]\n",
            "8453 [D loss: 0.665965, acc.: 62.50%] [G loss: 0.869096]\n",
            "8454 [D loss: 0.695828, acc.: 46.88%] [G loss: 0.841918]\n",
            "8455 [D loss: 0.670130, acc.: 56.25%] [G loss: 0.807177]\n",
            "8456 [D loss: 0.662879, acc.: 53.12%] [G loss: 0.812846]\n",
            "8457 [D loss: 0.657562, acc.: 59.38%] [G loss: 0.885036]\n",
            "8458 [D loss: 0.631051, acc.: 62.50%] [G loss: 0.825671]\n",
            "8459 [D loss: 0.636848, acc.: 65.62%] [G loss: 0.853361]\n",
            "8460 [D loss: 0.650984, acc.: 56.25%] [G loss: 0.815654]\n",
            "8461 [D loss: 0.817595, acc.: 25.00%] [G loss: 0.778784]\n",
            "8462 [D loss: 0.654927, acc.: 71.88%] [G loss: 0.842523]\n",
            "8463 [D loss: 0.642100, acc.: 59.38%] [G loss: 0.847184]\n",
            "8464 [D loss: 0.667914, acc.: 56.25%] [G loss: 0.817757]\n",
            "8465 [D loss: 0.666798, acc.: 62.50%] [G loss: 0.856614]\n",
            "8466 [D loss: 0.717770, acc.: 40.62%] [G loss: 0.898615]\n",
            "8467 [D loss: 0.715907, acc.: 50.00%] [G loss: 0.878576]\n",
            "8468 [D loss: 0.704637, acc.: 40.62%] [G loss: 0.896646]\n",
            "8469 [D loss: 0.730124, acc.: 50.00%] [G loss: 0.813341]\n",
            "8470 [D loss: 0.682938, acc.: 46.88%] [G loss: 0.847334]\n",
            "8471 [D loss: 0.679147, acc.: 50.00%] [G loss: 0.796765]\n",
            "8472 [D loss: 0.642476, acc.: 53.12%] [G loss: 0.803080]\n",
            "8473 [D loss: 0.631369, acc.: 62.50%] [G loss: 0.838551]\n",
            "8474 [D loss: 0.655276, acc.: 62.50%] [G loss: 0.867981]\n",
            "8475 [D loss: 0.643817, acc.: 59.38%] [G loss: 0.750180]\n",
            "8476 [D loss: 0.690662, acc.: 37.50%] [G loss: 0.826747]\n",
            "8477 [D loss: 0.692211, acc.: 53.12%] [G loss: 0.835684]\n",
            "8478 [D loss: 0.740335, acc.: 43.75%] [G loss: 0.820240]\n",
            "8479 [D loss: 0.663519, acc.: 50.00%] [G loss: 0.804845]\n",
            "8480 [D loss: 0.751804, acc.: 37.50%] [G loss: 0.858855]\n",
            "8481 [D loss: 0.666313, acc.: 53.12%] [G loss: 0.841710]\n",
            "8482 [D loss: 0.746016, acc.: 37.50%] [G loss: 0.893266]\n",
            "8483 [D loss: 0.656040, acc.: 71.88%] [G loss: 0.799797]\n",
            "8484 [D loss: 0.638722, acc.: 68.75%] [G loss: 0.785825]\n",
            "8485 [D loss: 0.666157, acc.: 59.38%] [G loss: 0.768898]\n",
            "8486 [D loss: 0.689855, acc.: 59.38%] [G loss: 0.821146]\n",
            "8487 [D loss: 0.654885, acc.: 65.62%] [G loss: 0.829811]\n",
            "8488 [D loss: 0.649345, acc.: 62.50%] [G loss: 0.817217]\n",
            "8489 [D loss: 0.700161, acc.: 50.00%] [G loss: 0.858596]\n",
            "8490 [D loss: 0.684527, acc.: 53.12%] [G loss: 0.863280]\n",
            "8491 [D loss: 0.659120, acc.: 62.50%] [G loss: 0.814731]\n",
            "8492 [D loss: 0.655549, acc.: 59.38%] [G loss: 0.781020]\n",
            "8493 [D loss: 0.717815, acc.: 56.25%] [G loss: 0.779371]\n",
            "8494 [D loss: 0.658132, acc.: 65.62%] [G loss: 0.858322]\n",
            "8495 [D loss: 0.631178, acc.: 75.00%] [G loss: 0.860833]\n",
            "8496 [D loss: 0.713244, acc.: 46.88%] [G loss: 0.804529]\n",
            "8497 [D loss: 0.660451, acc.: 65.62%] [G loss: 0.796042]\n",
            "8498 [D loss: 0.652416, acc.: 75.00%] [G loss: 0.767733]\n",
            "8499 [D loss: 0.688735, acc.: 46.88%] [G loss: 0.790407]\n",
            "8500 [D loss: 0.700059, acc.: 56.25%] [G loss: 0.778845]\n",
            "8501 [D loss: 0.679422, acc.: 56.25%] [G loss: 0.776397]\n",
            "8502 [D loss: 0.650203, acc.: 65.62%] [G loss: 0.796307]\n",
            "8503 [D loss: 0.660863, acc.: 62.50%] [G loss: 0.859096]\n",
            "8504 [D loss: 0.655710, acc.: 59.38%] [G loss: 0.810320]\n",
            "8505 [D loss: 0.642963, acc.: 59.38%] [G loss: 0.839019]\n",
            "8506 [D loss: 0.651795, acc.: 59.38%] [G loss: 0.803569]\n",
            "8507 [D loss: 0.699098, acc.: 50.00%] [G loss: 0.803837]\n",
            "8508 [D loss: 0.643490, acc.: 71.88%] [G loss: 0.766861]\n",
            "8509 [D loss: 0.643206, acc.: 65.62%] [G loss: 0.795986]\n",
            "8510 [D loss: 0.753476, acc.: 46.88%] [G loss: 0.802025]\n",
            "8511 [D loss: 0.682238, acc.: 46.88%] [G loss: 0.777783]\n",
            "8512 [D loss: 0.657248, acc.: 59.38%] [G loss: 0.765973]\n",
            "8513 [D loss: 0.671396, acc.: 59.38%] [G loss: 0.738711]\n",
            "8514 [D loss: 0.710424, acc.: 43.75%] [G loss: 0.763461]\n",
            "8515 [D loss: 0.636791, acc.: 56.25%] [G loss: 0.724974]\n",
            "8516 [D loss: 0.622488, acc.: 68.75%] [G loss: 0.770583]\n",
            "8517 [D loss: 0.644080, acc.: 71.88%] [G loss: 0.774086]\n",
            "8518 [D loss: 0.655747, acc.: 59.38%] [G loss: 0.734440]\n",
            "8519 [D loss: 0.674862, acc.: 65.62%] [G loss: 0.805922]\n",
            "8520 [D loss: 0.644739, acc.: 71.88%] [G loss: 0.803367]\n",
            "8521 [D loss: 0.718336, acc.: 53.12%] [G loss: 0.824051]\n",
            "8522 [D loss: 0.674047, acc.: 59.38%] [G loss: 0.831594]\n",
            "8523 [D loss: 0.672093, acc.: 50.00%] [G loss: 0.756338]\n",
            "8524 [D loss: 0.726012, acc.: 56.25%] [G loss: 0.781995]\n",
            "8525 [D loss: 0.688888, acc.: 59.38%] [G loss: 0.841831]\n",
            "8526 [D loss: 0.721463, acc.: 59.38%] [G loss: 0.915320]\n",
            "8527 [D loss: 0.639417, acc.: 71.88%] [G loss: 0.840059]\n",
            "8528 [D loss: 0.680308, acc.: 56.25%] [G loss: 0.805168]\n",
            "8529 [D loss: 0.658626, acc.: 56.25%] [G loss: 0.798045]\n",
            "8530 [D loss: 0.768519, acc.: 37.50%] [G loss: 0.786010]\n",
            "8531 [D loss: 0.762182, acc.: 40.62%] [G loss: 0.827459]\n",
            "8532 [D loss: 0.720551, acc.: 46.88%] [G loss: 0.856210]\n",
            "8533 [D loss: 0.705013, acc.: 53.12%] [G loss: 0.829516]\n",
            "8534 [D loss: 0.674249, acc.: 62.50%] [G loss: 0.840424]\n",
            "8535 [D loss: 0.654575, acc.: 62.50%] [G loss: 0.796996]\n",
            "8536 [D loss: 0.702738, acc.: 53.12%] [G loss: 0.810546]\n",
            "8537 [D loss: 0.666207, acc.: 62.50%] [G loss: 0.797607]\n",
            "8538 [D loss: 0.652084, acc.: 53.12%] [G loss: 0.803125]\n",
            "8539 [D loss: 0.742379, acc.: 56.25%] [G loss: 0.757972]\n",
            "8540 [D loss: 0.768219, acc.: 50.00%] [G loss: 0.768309]\n",
            "8541 [D loss: 0.656108, acc.: 59.38%] [G loss: 0.814654]\n",
            "8542 [D loss: 0.582042, acc.: 71.88%] [G loss: 0.854538]\n",
            "8543 [D loss: 0.684021, acc.: 46.88%] [G loss: 0.808115]\n",
            "8544 [D loss: 0.682014, acc.: 59.38%] [G loss: 0.828874]\n",
            "8545 [D loss: 0.682325, acc.: 43.75%] [G loss: 0.829851]\n",
            "8546 [D loss: 0.585450, acc.: 81.25%] [G loss: 0.784747]\n",
            "8547 [D loss: 0.665595, acc.: 56.25%] [G loss: 0.695727]\n",
            "8548 [D loss: 0.709768, acc.: 59.38%] [G loss: 0.797975]\n",
            "8549 [D loss: 0.668351, acc.: 65.62%] [G loss: 0.830668]\n",
            "8550 [D loss: 0.606419, acc.: 62.50%] [G loss: 0.773468]\n",
            "8551 [D loss: 0.649616, acc.: 56.25%] [G loss: 0.854994]\n",
            "8552 [D loss: 0.696293, acc.: 59.38%] [G loss: 0.781716]\n",
            "8553 [D loss: 0.689694, acc.: 53.12%] [G loss: 0.830151]\n",
            "8554 [D loss: 0.739103, acc.: 53.12%] [G loss: 0.721111]\n",
            "8555 [D loss: 0.685331, acc.: 50.00%] [G loss: 0.753121]\n",
            "8556 [D loss: 0.695567, acc.: 53.12%] [G loss: 0.812024]\n",
            "8557 [D loss: 0.686632, acc.: 56.25%] [G loss: 0.797902]\n",
            "8558 [D loss: 0.675770, acc.: 53.12%] [G loss: 0.855760]\n",
            "8559 [D loss: 0.653817, acc.: 59.38%] [G loss: 0.812461]\n",
            "8560 [D loss: 0.715563, acc.: 43.75%] [G loss: 0.783688]\n",
            "8561 [D loss: 0.699842, acc.: 56.25%] [G loss: 0.802504]\n",
            "8562 [D loss: 0.720362, acc.: 46.88%] [G loss: 0.810119]\n",
            "8563 [D loss: 0.603816, acc.: 65.62%] [G loss: 0.807445]\n",
            "8564 [D loss: 0.695265, acc.: 59.38%] [G loss: 0.790976]\n",
            "8565 [D loss: 0.702507, acc.: 56.25%] [G loss: 0.832832]\n",
            "8566 [D loss: 0.666501, acc.: 62.50%] [G loss: 0.792048]\n",
            "8567 [D loss: 0.682017, acc.: 56.25%] [G loss: 0.790410]\n",
            "8568 [D loss: 0.612954, acc.: 56.25%] [G loss: 0.784786]\n",
            "8569 [D loss: 0.634046, acc.: 68.75%] [G loss: 0.786766]\n",
            "8570 [D loss: 0.709743, acc.: 53.12%] [G loss: 0.755257]\n",
            "8571 [D loss: 0.791294, acc.: 43.75%] [G loss: 0.832504]\n",
            "8572 [D loss: 0.643618, acc.: 65.62%] [G loss: 0.769054]\n",
            "8573 [D loss: 0.715273, acc.: 53.12%] [G loss: 0.816166]\n",
            "8574 [D loss: 0.738198, acc.: 50.00%] [G loss: 0.857673]\n",
            "8575 [D loss: 0.648552, acc.: 62.50%] [G loss: 0.797402]\n",
            "8576 [D loss: 0.629992, acc.: 65.62%] [G loss: 0.832589]\n",
            "8577 [D loss: 0.656148, acc.: 68.75%] [G loss: 0.875083]\n",
            "8578 [D loss: 0.630586, acc.: 68.75%] [G loss: 0.853101]\n",
            "8579 [D loss: 0.676040, acc.: 56.25%] [G loss: 0.804318]\n",
            "8580 [D loss: 0.842261, acc.: 31.25%] [G loss: 0.758260]\n",
            "8581 [D loss: 0.669438, acc.: 53.12%] [G loss: 0.777354]\n",
            "8582 [D loss: 0.725373, acc.: 50.00%] [G loss: 0.832107]\n",
            "8583 [D loss: 0.657719, acc.: 62.50%] [G loss: 0.849207]\n",
            "8584 [D loss: 0.698572, acc.: 56.25%] [G loss: 0.875035]\n",
            "8585 [D loss: 0.640072, acc.: 68.75%] [G loss: 0.880975]\n",
            "8586 [D loss: 0.567770, acc.: 78.12%] [G loss: 0.880922]\n",
            "8587 [D loss: 0.753327, acc.: 46.88%] [G loss: 0.839151]\n",
            "8588 [D loss: 0.637700, acc.: 62.50%] [G loss: 0.797017]\n",
            "8589 [D loss: 0.644832, acc.: 59.38%] [G loss: 0.808040]\n",
            "8590 [D loss: 0.773273, acc.: 37.50%] [G loss: 0.828247]\n",
            "8591 [D loss: 0.725523, acc.: 40.62%] [G loss: 0.819140]\n",
            "8592 [D loss: 0.730517, acc.: 46.88%] [G loss: 0.808950]\n",
            "8593 [D loss: 0.793587, acc.: 37.50%] [G loss: 0.766337]\n",
            "8594 [D loss: 0.637993, acc.: 65.62%] [G loss: 0.789774]\n",
            "8595 [D loss: 0.655838, acc.: 68.75%] [G loss: 0.804758]\n",
            "8596 [D loss: 0.609389, acc.: 65.62%] [G loss: 0.874443]\n",
            "8597 [D loss: 0.671975, acc.: 59.38%] [G loss: 0.847171]\n",
            "8598 [D loss: 0.666825, acc.: 62.50%] [G loss: 0.798591]\n",
            "8599 [D loss: 0.617051, acc.: 65.62%] [G loss: 0.882152]\n",
            "8600 [D loss: 0.634754, acc.: 56.25%] [G loss: 0.811556]\n",
            "8601 [D loss: 0.699030, acc.: 43.75%] [G loss: 0.774764]\n",
            "8602 [D loss: 0.714007, acc.: 50.00%] [G loss: 0.782440]\n",
            "8603 [D loss: 0.699804, acc.: 50.00%] [G loss: 0.865440]\n",
            "8604 [D loss: 0.680764, acc.: 56.25%] [G loss: 0.885752]\n",
            "8605 [D loss: 0.735975, acc.: 50.00%] [G loss: 0.833181]\n",
            "8606 [D loss: 0.680217, acc.: 59.38%] [G loss: 0.805480]\n",
            "8607 [D loss: 0.735880, acc.: 43.75%] [G loss: 0.801205]\n",
            "8608 [D loss: 0.696243, acc.: 50.00%] [G loss: 0.784551]\n",
            "8609 [D loss: 0.696380, acc.: 50.00%] [G loss: 0.873140]\n",
            "8610 [D loss: 0.705511, acc.: 46.88%] [G loss: 0.896557]\n",
            "8611 [D loss: 0.661277, acc.: 65.62%] [G loss: 0.864510]\n",
            "8612 [D loss: 0.659566, acc.: 62.50%] [G loss: 0.887840]\n",
            "8613 [D loss: 0.655183, acc.: 65.62%] [G loss: 0.827319]\n",
            "8614 [D loss: 0.727402, acc.: 37.50%] [G loss: 0.791165]\n",
            "8615 [D loss: 0.656089, acc.: 56.25%] [G loss: 0.868240]\n",
            "8616 [D loss: 0.710931, acc.: 56.25%] [G loss: 0.889130]\n",
            "8617 [D loss: 0.686466, acc.: 46.88%] [G loss: 0.870131]\n",
            "8618 [D loss: 0.672690, acc.: 50.00%] [G loss: 0.796514]\n",
            "8619 [D loss: 0.680380, acc.: 56.25%] [G loss: 0.817950]\n",
            "8620 [D loss: 0.669240, acc.: 50.00%] [G loss: 0.815436]\n",
            "8621 [D loss: 0.703709, acc.: 53.12%] [G loss: 0.822496]\n",
            "8622 [D loss: 0.686670, acc.: 53.12%] [G loss: 0.857431]\n",
            "8623 [D loss: 0.659562, acc.: 65.62%] [G loss: 0.829638]\n",
            "8624 [D loss: 0.665543, acc.: 53.12%] [G loss: 0.858500]\n",
            "8625 [D loss: 0.635759, acc.: 65.62%] [G loss: 0.822237]\n",
            "8626 [D loss: 0.648722, acc.: 53.12%] [G loss: 0.877972]\n",
            "8627 [D loss: 0.721241, acc.: 56.25%] [G loss: 0.839113]\n",
            "8628 [D loss: 0.630751, acc.: 68.75%] [G loss: 0.774940]\n",
            "8629 [D loss: 0.677078, acc.: 50.00%] [G loss: 0.795981]\n",
            "8630 [D loss: 0.670184, acc.: 56.25%] [G loss: 0.819148]\n",
            "8631 [D loss: 0.707668, acc.: 43.75%] [G loss: 0.738938]\n",
            "8632 [D loss: 0.696073, acc.: 56.25%] [G loss: 0.752179]\n",
            "8633 [D loss: 0.677394, acc.: 59.38%] [G loss: 0.743771]\n",
            "8634 [D loss: 0.652973, acc.: 59.38%] [G loss: 0.779399]\n",
            "8635 [D loss: 0.639487, acc.: 53.12%] [G loss: 0.834430]\n",
            "8636 [D loss: 0.717982, acc.: 40.62%] [G loss: 0.783994]\n",
            "8637 [D loss: 0.707851, acc.: 40.62%] [G loss: 0.803132]\n",
            "8638 [D loss: 0.677655, acc.: 68.75%] [G loss: 0.766162]\n",
            "8639 [D loss: 0.717725, acc.: 46.88%] [G loss: 0.732671]\n",
            "8640 [D loss: 0.711387, acc.: 40.62%] [G loss: 0.795952]\n",
            "8641 [D loss: 0.610999, acc.: 71.88%] [G loss: 0.827249]\n",
            "8642 [D loss: 0.685060, acc.: 53.12%] [G loss: 0.812068]\n",
            "8643 [D loss: 0.717617, acc.: 50.00%] [G loss: 0.842238]\n",
            "8644 [D loss: 0.616552, acc.: 65.62%] [G loss: 0.830031]\n",
            "8645 [D loss: 0.721100, acc.: 43.75%] [G loss: 0.799381]\n",
            "8646 [D loss: 0.669069, acc.: 56.25%] [G loss: 0.782690]\n",
            "8647 [D loss: 0.718036, acc.: 43.75%] [G loss: 0.717483]\n",
            "8648 [D loss: 0.733306, acc.: 37.50%] [G loss: 0.785666]\n",
            "8649 [D loss: 0.714856, acc.: 53.12%] [G loss: 0.771593]\n",
            "8650 [D loss: 0.667762, acc.: 59.38%] [G loss: 0.791029]\n",
            "8651 [D loss: 0.731181, acc.: 31.25%] [G loss: 0.772199]\n",
            "8652 [D loss: 0.641022, acc.: 65.62%] [G loss: 0.792614]\n",
            "8653 [D loss: 0.762509, acc.: 53.12%] [G loss: 0.801919]\n",
            "8654 [D loss: 0.638963, acc.: 68.75%] [G loss: 0.807996]\n",
            "8655 [D loss: 0.715831, acc.: 59.38%] [G loss: 0.795542]\n",
            "8656 [D loss: 0.681188, acc.: 50.00%] [G loss: 0.763666]\n",
            "8657 [D loss: 0.695193, acc.: 50.00%] [G loss: 0.799268]\n",
            "8658 [D loss: 0.816995, acc.: 43.75%] [G loss: 0.789395]\n",
            "8659 [D loss: 0.668725, acc.: 65.62%] [G loss: 0.896619]\n",
            "8660 [D loss: 0.672616, acc.: 43.75%] [G loss: 0.961001]\n",
            "8661 [D loss: 0.730466, acc.: 46.88%] [G loss: 0.883312]\n",
            "8662 [D loss: 0.680728, acc.: 65.62%] [G loss: 0.893801]\n",
            "8663 [D loss: 0.740434, acc.: 37.50%] [G loss: 0.763282]\n",
            "8664 [D loss: 0.710836, acc.: 59.38%] [G loss: 0.793531]\n",
            "8665 [D loss: 0.685850, acc.: 53.12%] [G loss: 0.836246]\n",
            "8666 [D loss: 0.774433, acc.: 46.88%] [G loss: 0.804226]\n",
            "8667 [D loss: 0.658811, acc.: 59.38%] [G loss: 0.806899]\n",
            "8668 [D loss: 0.707437, acc.: 56.25%] [G loss: 0.792324]\n",
            "8669 [D loss: 0.635177, acc.: 65.62%] [G loss: 0.806922]\n",
            "8670 [D loss: 0.634876, acc.: 65.62%] [G loss: 0.890789]\n",
            "8671 [D loss: 0.680291, acc.: 56.25%] [G loss: 0.790811]\n",
            "8672 [D loss: 0.665130, acc.: 59.38%] [G loss: 0.861843]\n",
            "8673 [D loss: 0.650187, acc.: 62.50%] [G loss: 0.809494]\n",
            "8674 [D loss: 0.610627, acc.: 62.50%] [G loss: 0.845956]\n",
            "8675 [D loss: 0.676475, acc.: 62.50%] [G loss: 0.827976]\n",
            "8676 [D loss: 0.634007, acc.: 65.62%] [G loss: 0.795334]\n",
            "8677 [D loss: 0.708810, acc.: 53.12%] [G loss: 0.889387]\n",
            "8678 [D loss: 0.665282, acc.: 59.38%] [G loss: 0.798419]\n",
            "8679 [D loss: 0.679881, acc.: 53.12%] [G loss: 0.895267]\n",
            "8680 [D loss: 0.633463, acc.: 65.62%] [G loss: 0.772632]\n",
            "8681 [D loss: 0.716202, acc.: 46.88%] [G loss: 0.776600]\n",
            "8682 [D loss: 0.659095, acc.: 65.62%] [G loss: 0.849960]\n",
            "8683 [D loss: 0.773157, acc.: 37.50%] [G loss: 0.802373]\n",
            "8684 [D loss: 0.709906, acc.: 53.12%] [G loss: 0.793643]\n",
            "8685 [D loss: 0.599973, acc.: 75.00%] [G loss: 0.859319]\n",
            "8686 [D loss: 0.617215, acc.: 65.62%] [G loss: 0.878196]\n",
            "8687 [D loss: 0.666976, acc.: 59.38%] [G loss: 0.879739]\n",
            "8688 [D loss: 0.689529, acc.: 50.00%] [G loss: 0.820441]\n",
            "8689 [D loss: 0.668148, acc.: 56.25%] [G loss: 0.847868]\n",
            "8690 [D loss: 0.692255, acc.: 46.88%] [G loss: 0.760185]\n",
            "8691 [D loss: 0.698889, acc.: 40.62%] [G loss: 0.728999]\n",
            "8692 [D loss: 0.707830, acc.: 53.12%] [G loss: 0.777789]\n",
            "8693 [D loss: 0.721389, acc.: 43.75%] [G loss: 0.772036]\n",
            "8694 [D loss: 0.661214, acc.: 65.62%] [G loss: 0.778120]\n",
            "8695 [D loss: 0.715618, acc.: 56.25%] [G loss: 0.758550]\n",
            "8696 [D loss: 0.679943, acc.: 56.25%] [G loss: 0.772979]\n",
            "8697 [D loss: 0.759188, acc.: 53.12%] [G loss: 0.855157]\n",
            "8698 [D loss: 0.676299, acc.: 50.00%] [G loss: 0.828192]\n",
            "8699 [D loss: 0.702329, acc.: 59.38%] [G loss: 0.856267]\n",
            "8700 [D loss: 0.689993, acc.: 53.12%] [G loss: 0.796448]\n",
            "8701 [D loss: 0.667544, acc.: 56.25%] [G loss: 0.726844]\n",
            "8702 [D loss: 0.683102, acc.: 56.25%] [G loss: 0.799578]\n",
            "8703 [D loss: 0.733416, acc.: 53.12%] [G loss: 0.788862]\n",
            "8704 [D loss: 0.707312, acc.: 46.88%] [G loss: 0.733349]\n",
            "8705 [D loss: 0.727645, acc.: 56.25%] [G loss: 0.747972]\n",
            "8706 [D loss: 0.687490, acc.: 56.25%] [G loss: 0.829817]\n",
            "8707 [D loss: 0.694937, acc.: 59.38%] [G loss: 0.848593]\n",
            "8708 [D loss: 0.676854, acc.: 53.12%] [G loss: 0.776493]\n",
            "8709 [D loss: 0.685054, acc.: 62.50%] [G loss: 0.789945]\n",
            "8710 [D loss: 0.667336, acc.: 50.00%] [G loss: 0.810490]\n",
            "8711 [D loss: 0.689875, acc.: 62.50%] [G loss: 0.834360]\n",
            "8712 [D loss: 0.673694, acc.: 56.25%] [G loss: 0.832098]\n",
            "8713 [D loss: 0.728493, acc.: 50.00%] [G loss: 0.823481]\n",
            "8714 [D loss: 0.616346, acc.: 71.88%] [G loss: 0.850190]\n",
            "8715 [D loss: 0.687822, acc.: 59.38%] [G loss: 0.776651]\n",
            "8716 [D loss: 0.717415, acc.: 56.25%] [G loss: 0.775508]\n",
            "8717 [D loss: 0.640185, acc.: 65.62%] [G loss: 0.780798]\n",
            "8718 [D loss: 0.733688, acc.: 43.75%] [G loss: 0.741736]\n",
            "8719 [D loss: 0.673305, acc.: 62.50%] [G loss: 0.779587]\n",
            "8720 [D loss: 0.645955, acc.: 68.75%] [G loss: 0.862488]\n",
            "8721 [D loss: 0.662584, acc.: 53.12%] [G loss: 0.780467]\n",
            "8722 [D loss: 0.706147, acc.: 53.12%] [G loss: 0.870428]\n",
            "8723 [D loss: 0.682282, acc.: 62.50%] [G loss: 0.843384]\n",
            "8724 [D loss: 0.805435, acc.: 53.12%] [G loss: 0.833407]\n",
            "8725 [D loss: 0.721396, acc.: 53.12%] [G loss: 0.867235]\n",
            "8726 [D loss: 0.655259, acc.: 62.50%] [G loss: 0.801505]\n",
            "8727 [D loss: 0.695243, acc.: 56.25%] [G loss: 0.741059]\n",
            "8728 [D loss: 0.730853, acc.: 53.12%] [G loss: 0.781551]\n",
            "8729 [D loss: 0.673696, acc.: 56.25%] [G loss: 0.811694]\n",
            "8730 [D loss: 0.706832, acc.: 53.12%] [G loss: 0.779800]\n",
            "8731 [D loss: 0.689672, acc.: 53.12%] [G loss: 0.787460]\n",
            "8732 [D loss: 0.752075, acc.: 46.88%] [G loss: 0.813572]\n",
            "8733 [D loss: 0.647259, acc.: 59.38%] [G loss: 0.779008]\n",
            "8734 [D loss: 0.707505, acc.: 56.25%] [G loss: 0.816891]\n",
            "8735 [D loss: 0.691519, acc.: 53.12%] [G loss: 0.829325]\n",
            "8736 [D loss: 0.663728, acc.: 68.75%] [G loss: 0.834672]\n",
            "8737 [D loss: 0.668726, acc.: 59.38%] [G loss: 0.813047]\n",
            "8738 [D loss: 0.692727, acc.: 50.00%] [G loss: 0.806206]\n",
            "8739 [D loss: 0.714143, acc.: 37.50%] [G loss: 0.821225]\n",
            "8740 [D loss: 0.668981, acc.: 53.12%] [G loss: 0.771618]\n",
            "8741 [D loss: 0.761642, acc.: 46.88%] [G loss: 0.754650]\n",
            "8742 [D loss: 0.689549, acc.: 62.50%] [G loss: 0.778583]\n",
            "8743 [D loss: 0.680811, acc.: 53.12%] [G loss: 0.831969]\n",
            "8744 [D loss: 0.642872, acc.: 65.62%] [G loss: 0.765185]\n",
            "8745 [D loss: 0.660293, acc.: 56.25%] [G loss: 0.820600]\n",
            "8746 [D loss: 0.652582, acc.: 62.50%] [G loss: 0.760648]\n",
            "8747 [D loss: 0.652460, acc.: 62.50%] [G loss: 0.798327]\n",
            "8748 [D loss: 0.626356, acc.: 68.75%] [G loss: 0.794256]\n",
            "8749 [D loss: 0.712205, acc.: 53.12%] [G loss: 0.785170]\n",
            "8750 [D loss: 0.661027, acc.: 59.38%] [G loss: 0.837872]\n",
            "8751 [D loss: 0.680099, acc.: 59.38%] [G loss: 0.795516]\n",
            "8752 [D loss: 0.634367, acc.: 65.62%] [G loss: 0.775796]\n",
            "8753 [D loss: 0.736154, acc.: 46.88%] [G loss: 0.834994]\n",
            "8754 [D loss: 0.645085, acc.: 71.88%] [G loss: 0.822792]\n",
            "8755 [D loss: 0.672188, acc.: 59.38%] [G loss: 0.769157]\n",
            "8756 [D loss: 0.627604, acc.: 62.50%] [G loss: 0.745000]\n",
            "8757 [D loss: 0.711231, acc.: 46.88%] [G loss: 0.786680]\n",
            "8758 [D loss: 0.692700, acc.: 59.38%] [G loss: 0.792399]\n",
            "8759 [D loss: 0.724449, acc.: 50.00%] [G loss: 0.805201]\n",
            "8760 [D loss: 0.639088, acc.: 68.75%] [G loss: 0.750461]\n",
            "8761 [D loss: 0.644736, acc.: 65.62%] [G loss: 0.822112]\n",
            "8762 [D loss: 0.704416, acc.: 56.25%] [G loss: 0.789394]\n",
            "8763 [D loss: 0.706892, acc.: 43.75%] [G loss: 0.820991]\n",
            "8764 [D loss: 0.654697, acc.: 62.50%] [G loss: 0.830297]\n",
            "8765 [D loss: 0.655397, acc.: 46.88%] [G loss: 0.837839]\n",
            "8766 [D loss: 0.667007, acc.: 56.25%] [G loss: 0.761211]\n",
            "8767 [D loss: 0.727405, acc.: 53.12%] [G loss: 0.747275]\n",
            "8768 [D loss: 0.657837, acc.: 71.88%] [G loss: 0.776036]\n",
            "8769 [D loss: 0.674964, acc.: 62.50%] [G loss: 0.791007]\n",
            "8770 [D loss: 0.693240, acc.: 59.38%] [G loss: 0.833247]\n",
            "8771 [D loss: 0.699568, acc.: 56.25%] [G loss: 0.834591]\n",
            "8772 [D loss: 0.683948, acc.: 56.25%] [G loss: 0.826380]\n",
            "8773 [D loss: 0.611926, acc.: 78.12%] [G loss: 0.827477]\n",
            "8774 [D loss: 0.634884, acc.: 65.62%] [G loss: 0.808397]\n",
            "8775 [D loss: 0.646125, acc.: 62.50%] [G loss: 0.868844]\n",
            "8776 [D loss: 0.708739, acc.: 53.12%] [G loss: 0.868667]\n",
            "8777 [D loss: 0.712430, acc.: 62.50%] [G loss: 0.844035]\n",
            "8778 [D loss: 0.663671, acc.: 59.38%] [G loss: 0.780879]\n",
            "8779 [D loss: 0.741483, acc.: 46.88%] [G loss: 0.785962]\n",
            "8780 [D loss: 0.697672, acc.: 53.12%] [G loss: 0.791062]\n",
            "8781 [D loss: 0.650105, acc.: 68.75%] [G loss: 0.799906]\n",
            "8782 [D loss: 0.682351, acc.: 56.25%] [G loss: 0.864153]\n",
            "8783 [D loss: 0.651352, acc.: 65.62%] [G loss: 0.899498]\n",
            "8784 [D loss: 0.663104, acc.: 62.50%] [G loss: 0.816657]\n",
            "8785 [D loss: 0.674287, acc.: 53.12%] [G loss: 0.861007]\n",
            "8786 [D loss: 0.749399, acc.: 37.50%] [G loss: 0.825791]\n",
            "8787 [D loss: 0.695355, acc.: 56.25%] [G loss: 0.863561]\n",
            "8788 [D loss: 0.579328, acc.: 81.25%] [G loss: 0.852206]\n",
            "8789 [D loss: 0.696561, acc.: 46.88%] [G loss: 0.878960]\n",
            "8790 [D loss: 0.674380, acc.: 56.25%] [G loss: 0.863762]\n",
            "8791 [D loss: 0.759064, acc.: 46.88%] [G loss: 0.855555]\n",
            "8792 [D loss: 0.681664, acc.: 46.88%] [G loss: 0.875807]\n",
            "8793 [D loss: 0.639147, acc.: 59.38%] [G loss: 0.850578]\n",
            "8794 [D loss: 0.684812, acc.: 68.75%] [G loss: 0.885081]\n",
            "8795 [D loss: 0.693832, acc.: 59.38%] [G loss: 0.825880]\n",
            "8796 [D loss: 0.663529, acc.: 62.50%] [G loss: 0.795115]\n",
            "8797 [D loss: 0.730539, acc.: 46.88%] [G loss: 0.812393]\n",
            "8798 [D loss: 0.688744, acc.: 50.00%] [G loss: 0.830212]\n",
            "8799 [D loss: 0.689391, acc.: 53.12%] [G loss: 0.842657]\n",
            "8800 [D loss: 0.748749, acc.: 43.75%] [G loss: 0.846330]\n",
            "8801 [D loss: 0.649429, acc.: 56.25%] [G loss: 0.841367]\n",
            "8802 [D loss: 0.692281, acc.: 59.38%] [G loss: 0.923109]\n",
            "8803 [D loss: 0.690854, acc.: 59.38%] [G loss: 0.845154]\n",
            "8804 [D loss: 0.662285, acc.: 65.62%] [G loss: 0.894975]\n",
            "8805 [D loss: 0.727886, acc.: 43.75%] [G loss: 0.934676]\n",
            "8806 [D loss: 0.626274, acc.: 62.50%] [G loss: 0.906931]\n",
            "8807 [D loss: 0.613594, acc.: 65.62%] [G loss: 0.935456]\n",
            "8808 [D loss: 0.568187, acc.: 71.88%] [G loss: 0.860411]\n",
            "8809 [D loss: 0.678943, acc.: 53.12%] [G loss: 0.833510]\n",
            "8810 [D loss: 0.705346, acc.: 59.38%] [G loss: 0.802167]\n",
            "8811 [D loss: 0.678553, acc.: 56.25%] [G loss: 0.783822]\n",
            "8812 [D loss: 0.608706, acc.: 65.62%] [G loss: 0.733956]\n",
            "8813 [D loss: 0.699339, acc.: 50.00%] [G loss: 0.808692]\n",
            "8814 [D loss: 0.697702, acc.: 50.00%] [G loss: 0.876756]\n",
            "8815 [D loss: 0.656909, acc.: 59.38%] [G loss: 0.826461]\n",
            "8816 [D loss: 0.647049, acc.: 56.25%] [G loss: 0.868671]\n",
            "8817 [D loss: 0.645985, acc.: 59.38%] [G loss: 0.850552]\n",
            "8818 [D loss: 0.713955, acc.: 46.88%] [G loss: 0.799211]\n",
            "8819 [D loss: 0.635133, acc.: 65.62%] [G loss: 0.769746]\n",
            "8820 [D loss: 0.683327, acc.: 50.00%] [G loss: 0.834859]\n",
            "8821 [D loss: 0.713155, acc.: 53.12%] [G loss: 0.808232]\n",
            "8822 [D loss: 0.656382, acc.: 68.75%] [G loss: 0.866987]\n",
            "8823 [D loss: 0.643863, acc.: 56.25%] [G loss: 0.805569]\n",
            "8824 [D loss: 0.739509, acc.: 50.00%] [G loss: 0.802840]\n",
            "8825 [D loss: 0.608113, acc.: 68.75%] [G loss: 0.779020]\n",
            "8826 [D loss: 0.673399, acc.: 59.38%] [G loss: 0.826168]\n",
            "8827 [D loss: 0.654830, acc.: 65.62%] [G loss: 0.811287]\n",
            "8828 [D loss: 0.651892, acc.: 65.62%] [G loss: 0.829028]\n",
            "8829 [D loss: 0.694268, acc.: 53.12%] [G loss: 0.758205]\n",
            "8830 [D loss: 0.716863, acc.: 53.12%] [G loss: 0.840013]\n",
            "8831 [D loss: 0.707917, acc.: 56.25%] [G loss: 0.844442]\n",
            "8832 [D loss: 0.651438, acc.: 62.50%] [G loss: 0.773201]\n",
            "8833 [D loss: 0.722146, acc.: 43.75%] [G loss: 0.858244]\n",
            "8834 [D loss: 0.730345, acc.: 43.75%] [G loss: 0.819826]\n",
            "8835 [D loss: 0.700898, acc.: 65.62%] [G loss: 0.859261]\n",
            "8836 [D loss: 0.652398, acc.: 59.38%] [G loss: 0.850318]\n",
            "8837 [D loss: 0.698489, acc.: 53.12%] [G loss: 0.820903]\n",
            "8838 [D loss: 0.647742, acc.: 50.00%] [G loss: 0.841306]\n",
            "8839 [D loss: 0.711484, acc.: 50.00%] [G loss: 0.817697]\n",
            "8840 [D loss: 0.667969, acc.: 53.12%] [G loss: 0.810264]\n",
            "8841 [D loss: 0.627235, acc.: 68.75%] [G loss: 0.772744]\n",
            "8842 [D loss: 0.663685, acc.: 59.38%] [G loss: 0.772381]\n",
            "8843 [D loss: 0.743141, acc.: 50.00%] [G loss: 0.732702]\n",
            "8844 [D loss: 0.671401, acc.: 68.75%] [G loss: 0.762107]\n",
            "8845 [D loss: 0.776227, acc.: 50.00%] [G loss: 0.778348]\n",
            "8846 [D loss: 0.608884, acc.: 68.75%] [G loss: 0.790096]\n",
            "8847 [D loss: 0.672889, acc.: 62.50%] [G loss: 0.776378]\n",
            "8848 [D loss: 0.671189, acc.: 50.00%] [G loss: 0.785858]\n",
            "8849 [D loss: 0.741681, acc.: 53.12%] [G loss: 0.832869]\n",
            "8850 [D loss: 0.678264, acc.: 62.50%] [G loss: 0.829204]\n",
            "8851 [D loss: 0.677519, acc.: 56.25%] [G loss: 0.859643]\n",
            "8852 [D loss: 0.653388, acc.: 59.38%] [G loss: 0.812116]\n",
            "8853 [D loss: 0.679243, acc.: 56.25%] [G loss: 0.868025]\n",
            "8854 [D loss: 0.679108, acc.: 56.25%] [G loss: 0.875938]\n",
            "8855 [D loss: 0.640122, acc.: 56.25%] [G loss: 0.840809]\n",
            "8856 [D loss: 0.735311, acc.: 56.25%] [G loss: 0.825189]\n",
            "8857 [D loss: 0.599827, acc.: 65.62%] [G loss: 0.827942]\n",
            "8858 [D loss: 0.693751, acc.: 50.00%] [G loss: 0.798030]\n",
            "8859 [D loss: 0.666502, acc.: 59.38%] [G loss: 0.785187]\n",
            "8860 [D loss: 0.706399, acc.: 53.12%] [G loss: 0.791829]\n",
            "8861 [D loss: 0.677632, acc.: 59.38%] [G loss: 0.814769]\n",
            "8862 [D loss: 0.636501, acc.: 65.62%] [G loss: 0.906664]\n",
            "8863 [D loss: 0.616490, acc.: 75.00%] [G loss: 0.918945]\n",
            "8864 [D loss: 0.769442, acc.: 50.00%] [G loss: 0.819189]\n",
            "8865 [D loss: 0.662218, acc.: 56.25%] [G loss: 0.822899]\n",
            "8866 [D loss: 0.704175, acc.: 50.00%] [G loss: 0.858611]\n",
            "8867 [D loss: 0.673905, acc.: 56.25%] [G loss: 0.827102]\n",
            "8868 [D loss: 0.694333, acc.: 59.38%] [G loss: 0.824100]\n",
            "8869 [D loss: 0.689055, acc.: 50.00%] [G loss: 0.816691]\n",
            "8870 [D loss: 0.654946, acc.: 56.25%] [G loss: 0.811265]\n",
            "8871 [D loss: 0.689167, acc.: 46.88%] [G loss: 0.758833]\n",
            "8872 [D loss: 0.653476, acc.: 62.50%] [G loss: 0.802942]\n",
            "8873 [D loss: 0.633154, acc.: 65.62%] [G loss: 0.795422]\n",
            "8874 [D loss: 0.680849, acc.: 46.88%] [G loss: 0.794791]\n",
            "8875 [D loss: 0.729662, acc.: 43.75%] [G loss: 0.811275]\n",
            "8876 [D loss: 0.693791, acc.: 62.50%] [G loss: 0.817312]\n",
            "8877 [D loss: 0.625695, acc.: 75.00%] [G loss: 0.849994]\n",
            "8878 [D loss: 0.667539, acc.: 62.50%] [G loss: 0.789416]\n",
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            "8880 [D loss: 0.682864, acc.: 53.12%] [G loss: 0.789744]\n",
            "8881 [D loss: 0.693072, acc.: 59.38%] [G loss: 0.808488]\n",
            "8882 [D loss: 0.622183, acc.: 68.75%] [G loss: 0.828475]\n",
            "8883 [D loss: 0.660997, acc.: 75.00%] [G loss: 0.835723]\n",
            "8884 [D loss: 0.666550, acc.: 46.88%] [G loss: 0.818779]\n",
            "8885 [D loss: 0.664148, acc.: 68.75%] [G loss: 0.821385]\n",
            "8886 [D loss: 0.646199, acc.: 59.38%] [G loss: 0.921925]\n",
            "8887 [D loss: 0.656841, acc.: 65.62%] [G loss: 0.796514]\n",
            "8888 [D loss: 0.777259, acc.: 40.62%] [G loss: 0.829108]\n",
            "8889 [D loss: 0.656948, acc.: 56.25%] [G loss: 0.779960]\n",
            "8890 [D loss: 0.661206, acc.: 59.38%] [G loss: 0.867236]\n",
            "8891 [D loss: 0.753262, acc.: 43.75%] [G loss: 0.849587]\n",
            "8892 [D loss: 0.666779, acc.: 62.50%] [G loss: 0.873153]\n",
            "8893 [D loss: 0.679451, acc.: 68.75%] [G loss: 0.782478]\n",
            "8894 [D loss: 0.702008, acc.: 59.38%] [G loss: 0.766407]\n",
            "8895 [D loss: 0.702300, acc.: 53.12%] [G loss: 0.788970]\n",
            "8896 [D loss: 0.681866, acc.: 59.38%] [G loss: 0.780705]\n",
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            "8898 [D loss: 0.762786, acc.: 34.38%] [G loss: 0.763508]\n",
            "8899 [D loss: 0.724259, acc.: 37.50%] [G loss: 0.791605]\n",
            "8900 [D loss: 0.682717, acc.: 56.25%] [G loss: 0.843646]\n",
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            "8902 [D loss: 0.635892, acc.: 68.75%] [G loss: 0.760357]\n",
            "8903 [D loss: 0.698571, acc.: 43.75%] [G loss: 0.818936]\n",
            "8904 [D loss: 0.692494, acc.: 50.00%] [G loss: 0.744769]\n",
            "8905 [D loss: 0.727418, acc.: 56.25%] [G loss: 0.751437]\n",
            "8906 [D loss: 0.642509, acc.: 65.62%] [G loss: 0.882942]\n",
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            "8908 [D loss: 0.755944, acc.: 46.88%] [G loss: 0.870873]\n",
            "8909 [D loss: 0.661677, acc.: 62.50%] [G loss: 0.903903]\n",
            "8910 [D loss: 0.642355, acc.: 71.88%] [G loss: 0.857134]\n",
            "8911 [D loss: 0.596122, acc.: 78.12%] [G loss: 0.819255]\n",
            "8912 [D loss: 0.638561, acc.: 56.25%] [G loss: 0.851231]\n",
            "8913 [D loss: 0.680622, acc.: 53.12%] [G loss: 0.826547]\n",
            "8914 [D loss: 0.697587, acc.: 62.50%] [G loss: 0.797032]\n",
            "8915 [D loss: 0.684609, acc.: 56.25%] [G loss: 0.779464]\n",
            "8916 [D loss: 0.647036, acc.: 59.38%] [G loss: 0.824731]\n",
            "8917 [D loss: 0.622959, acc.: 78.12%] [G loss: 0.835354]\n",
            "8918 [D loss: 0.663367, acc.: 62.50%] [G loss: 0.805852]\n",
            "8919 [D loss: 0.725449, acc.: 50.00%] [G loss: 0.811334]\n",
            "8920 [D loss: 0.695247, acc.: 65.62%] [G loss: 0.781953]\n",
            "8921 [D loss: 0.663170, acc.: 50.00%] [G loss: 0.846492]\n",
            "8922 [D loss: 0.677681, acc.: 43.75%] [G loss: 0.844282]\n",
            "8923 [D loss: 0.675173, acc.: 59.38%] [G loss: 0.863070]\n",
            "8924 [D loss: 0.702677, acc.: 50.00%] [G loss: 0.907084]\n",
            "8925 [D loss: 0.751635, acc.: 40.62%] [G loss: 0.863909]\n",
            "8926 [D loss: 0.671799, acc.: 59.38%] [G loss: 0.821143]\n",
            "8927 [D loss: 0.719416, acc.: 46.88%] [G loss: 0.817034]\n",
            "8928 [D loss: 0.644445, acc.: 71.88%] [G loss: 0.848181]\n",
            "8929 [D loss: 0.636956, acc.: 65.62%] [G loss: 0.822797]\n",
            "8930 [D loss: 0.658096, acc.: 62.50%] [G loss: 0.806284]\n",
            "8931 [D loss: 0.696155, acc.: 65.62%] [G loss: 0.811709]\n",
            "8932 [D loss: 0.618893, acc.: 65.62%] [G loss: 0.884885]\n",
            "8933 [D loss: 0.644115, acc.: 62.50%] [G loss: 0.861945]\n",
            "8934 [D loss: 0.663761, acc.: 65.62%] [G loss: 0.838278]\n",
            "8935 [D loss: 0.640553, acc.: 62.50%] [G loss: 0.867782]\n",
            "8936 [D loss: 0.707835, acc.: 56.25%] [G loss: 0.853611]\n",
            "8937 [D loss: 0.622939, acc.: 75.00%] [G loss: 0.886540]\n",
            "8938 [D loss: 0.696271, acc.: 56.25%] [G loss: 0.848362]\n",
            "8939 [D loss: 0.684510, acc.: 53.12%] [G loss: 0.825717]\n",
            "8940 [D loss: 0.679880, acc.: 53.12%] [G loss: 0.789919]\n",
            "8941 [D loss: 0.657767, acc.: 65.62%] [G loss: 0.785247]\n",
            "8942 [D loss: 0.661706, acc.: 65.62%] [G loss: 0.791206]\n",
            "8943 [D loss: 0.700770, acc.: 40.62%] [G loss: 0.781286]\n",
            "8944 [D loss: 0.612445, acc.: 65.62%] [G loss: 0.826808]\n",
            "8945 [D loss: 0.712375, acc.: 59.38%] [G loss: 0.772986]\n",
            "8946 [D loss: 0.752504, acc.: 46.88%] [G loss: 0.791697]\n",
            "8947 [D loss: 0.712248, acc.: 46.88%] [G loss: 0.825064]\n",
            "8948 [D loss: 0.732353, acc.: 50.00%] [G loss: 0.860989]\n",
            "8949 [D loss: 0.684241, acc.: 43.75%] [G loss: 0.827630]\n",
            "8950 [D loss: 0.631547, acc.: 59.38%] [G loss: 0.839892]\n",
            "8951 [D loss: 0.675695, acc.: 53.12%] [G loss: 0.874730]\n",
            "8952 [D loss: 0.708635, acc.: 53.12%] [G loss: 0.841702]\n",
            "8953 [D loss: 0.664990, acc.: 59.38%] [G loss: 0.807945]\n",
            "8954 [D loss: 0.719507, acc.: 50.00%] [G loss: 0.763869]\n",
            "8955 [D loss: 0.708667, acc.: 50.00%] [G loss: 0.735476]\n",
            "8956 [D loss: 0.717614, acc.: 50.00%] [G loss: 0.722540]\n",
            "8957 [D loss: 0.697146, acc.: 59.38%] [G loss: 0.741632]\n",
            "8958 [D loss: 0.676417, acc.: 56.25%] [G loss: 0.812375]\n",
            "8959 [D loss: 0.609188, acc.: 71.88%] [G loss: 0.831549]\n",
            "8960 [D loss: 0.686895, acc.: 50.00%] [G loss: 0.794968]\n",
            "8961 [D loss: 0.649493, acc.: 68.75%] [G loss: 0.849510]\n",
            "8962 [D loss: 0.669890, acc.: 68.75%] [G loss: 0.795477]\n",
            "8963 [D loss: 0.793679, acc.: 43.75%] [G loss: 0.806710]\n",
            "8964 [D loss: 0.696170, acc.: 59.38%] [G loss: 0.871288]\n",
            "8965 [D loss: 0.736462, acc.: 43.75%] [G loss: 0.808784]\n",
            "8966 [D loss: 0.707356, acc.: 59.38%] [G loss: 0.871939]\n",
            "8967 [D loss: 0.700639, acc.: 56.25%] [G loss: 0.851681]\n",
            "8968 [D loss: 0.665933, acc.: 53.12%] [G loss: 0.853070]\n",
            "8969 [D loss: 0.584998, acc.: 75.00%] [G loss: 0.877320]\n",
            "8970 [D loss: 0.676059, acc.: 65.62%] [G loss: 0.839883]\n",
            "8971 [D loss: 0.755423, acc.: 40.62%] [G loss: 0.811819]\n",
            "8972 [D loss: 0.672229, acc.: 56.25%] [G loss: 0.807873]\n",
            "8973 [D loss: 0.699832, acc.: 53.12%] [G loss: 0.830948]\n",
            "8974 [D loss: 0.732639, acc.: 46.88%] [G loss: 0.774658]\n",
            "8975 [D loss: 0.686088, acc.: 59.38%] [G loss: 0.848936]\n",
            "8976 [D loss: 0.638570, acc.: 75.00%] [G loss: 0.798174]\n",
            "8977 [D loss: 0.713867, acc.: 43.75%] [G loss: 0.847525]\n",
            "8978 [D loss: 0.643791, acc.: 59.38%] [G loss: 0.854901]\n",
            "8979 [D loss: 0.620427, acc.: 71.88%] [G loss: 0.821648]\n",
            "8980 [D loss: 0.637924, acc.: 65.62%] [G loss: 0.863090]\n",
            "8981 [D loss: 0.690614, acc.: 65.62%] [G loss: 0.769635]\n",
            "8982 [D loss: 0.761616, acc.: 50.00%] [G loss: 0.763504]\n",
            "8983 [D loss: 0.701845, acc.: 53.12%] [G loss: 0.781262]\n",
            "8984 [D loss: 0.665024, acc.: 62.50%] [G loss: 0.749935]\n",
            "8985 [D loss: 0.714869, acc.: 56.25%] [G loss: 0.765818]\n",
            "8986 [D loss: 0.652545, acc.: 62.50%] [G loss: 0.822609]\n",
            "8987 [D loss: 0.759526, acc.: 34.38%] [G loss: 0.748019]\n",
            "8988 [D loss: 0.627678, acc.: 65.62%] [G loss: 0.824379]\n",
            "8989 [D loss: 0.717329, acc.: 46.88%] [G loss: 0.796718]\n",
            "8990 [D loss: 0.697757, acc.: 50.00%] [G loss: 0.831570]\n",
            "8991 [D loss: 0.610046, acc.: 75.00%] [G loss: 0.819745]\n",
            "8992 [D loss: 0.740484, acc.: 53.12%] [G loss: 0.827549]\n",
            "8993 [D loss: 0.717560, acc.: 56.25%] [G loss: 0.790886]\n",
            "8994 [D loss: 0.670061, acc.: 56.25%] [G loss: 0.878859]\n",
            "8995 [D loss: 0.690265, acc.: 56.25%] [G loss: 0.858554]\n",
            "8996 [D loss: 0.684115, acc.: 59.38%] [G loss: 0.813887]\n",
            "8997 [D loss: 0.671399, acc.: 56.25%] [G loss: 0.820951]\n",
            "8998 [D loss: 0.734189, acc.: 40.62%] [G loss: 0.807231]\n",
            "8999 [D loss: 0.710803, acc.: 62.50%] [G loss: 0.830966]\n",
            "9000 [D loss: 0.647232, acc.: 68.75%] [G loss: 0.771667]\n",
            "9001 [D loss: 0.696078, acc.: 56.25%] [G loss: 0.792190]\n",
            "9002 [D loss: 0.713330, acc.: 53.12%] [G loss: 0.743717]\n",
            "9003 [D loss: 0.671456, acc.: 59.38%] [G loss: 0.805604]\n",
            "9004 [D loss: 0.682334, acc.: 56.25%] [G loss: 0.782594]\n",
            "9005 [D loss: 0.697055, acc.: 53.12%] [G loss: 0.824898]\n",
            "9006 [D loss: 0.665595, acc.: 68.75%] [G loss: 0.857397]\n",
            "9007 [D loss: 0.735467, acc.: 50.00%] [G loss: 0.837139]\n",
            "9008 [D loss: 0.673935, acc.: 56.25%] [G loss: 0.837824]\n",
            "9009 [D loss: 0.618478, acc.: 65.62%] [G loss: 0.845494]\n",
            "9010 [D loss: 0.662114, acc.: 53.12%] [G loss: 0.816028]\n",
            "9011 [D loss: 0.732842, acc.: 40.62%] [G loss: 0.839037]\n",
            "9012 [D loss: 0.725261, acc.: 50.00%] [G loss: 0.807985]\n",
            "9013 [D loss: 0.636299, acc.: 68.75%] [G loss: 0.784579]\n",
            "9014 [D loss: 0.612747, acc.: 62.50%] [G loss: 0.857971]\n",
            "9015 [D loss: 0.777071, acc.: 53.12%] [G loss: 0.812857]\n",
            "9016 [D loss: 0.650681, acc.: 65.62%] [G loss: 0.789196]\n",
            "9017 [D loss: 0.694130, acc.: 50.00%] [G loss: 0.782900]\n",
            "9018 [D loss: 0.707924, acc.: 56.25%] [G loss: 0.759156]\n",
            "9019 [D loss: 0.676635, acc.: 59.38%] [G loss: 0.845969]\n",
            "9020 [D loss: 0.658071, acc.: 59.38%] [G loss: 0.769919]\n",
            "9021 [D loss: 0.642551, acc.: 59.38%] [G loss: 0.820456]\n",
            "9022 [D loss: 0.781289, acc.: 43.75%] [G loss: 0.781480]\n",
            "9023 [D loss: 0.681791, acc.: 65.62%] [G loss: 0.791093]\n",
            "9024 [D loss: 0.712840, acc.: 53.12%] [G loss: 0.793464]\n",
            "9025 [D loss: 0.639447, acc.: 71.88%] [G loss: 0.843735]\n",
            "9026 [D loss: 0.736114, acc.: 43.75%] [G loss: 0.854962]\n",
            "9027 [D loss: 0.638849, acc.: 68.75%] [G loss: 0.909231]\n",
            "9028 [D loss: 0.578004, acc.: 68.75%] [G loss: 0.890148]\n",
            "9029 [D loss: 0.718873, acc.: 40.62%] [G loss: 0.834664]\n",
            "9030 [D loss: 0.659093, acc.: 59.38%] [G loss: 0.838786]\n",
            "9031 [D loss: 0.693890, acc.: 53.12%] [G loss: 0.842704]\n",
            "9032 [D loss: 0.710149, acc.: 43.75%] [G loss: 0.763474]\n",
            "9033 [D loss: 0.627618, acc.: 65.62%] [G loss: 0.823762]\n",
            "9034 [D loss: 0.689428, acc.: 53.12%] [G loss: 0.766391]\n",
            "9035 [D loss: 0.655280, acc.: 53.12%] [G loss: 0.768436]\n",
            "9036 [D loss: 0.642395, acc.: 59.38%] [G loss: 0.748597]\n",
            "9037 [D loss: 0.714340, acc.: 59.38%] [G loss: 0.779459]\n",
            "9038 [D loss: 0.743074, acc.: 50.00%] [G loss: 0.826244]\n",
            "9039 [D loss: 0.648792, acc.: 65.62%] [G loss: 0.814642]\n",
            "9040 [D loss: 0.670000, acc.: 59.38%] [G loss: 0.817787]\n",
            "9041 [D loss: 0.719764, acc.: 53.12%] [G loss: 0.815912]\n",
            "9042 [D loss: 0.659776, acc.: 59.38%] [G loss: 0.828957]\n",
            "9043 [D loss: 0.662978, acc.: 56.25%] [G loss: 0.812009]\n",
            "9044 [D loss: 0.661278, acc.: 62.50%] [G loss: 0.804348]\n",
            "9045 [D loss: 0.778754, acc.: 40.62%] [G loss: 0.828038]\n",
            "9046 [D loss: 0.675524, acc.: 62.50%] [G loss: 0.805290]\n",
            "9047 [D loss: 0.680738, acc.: 56.25%] [G loss: 0.827731]\n",
            "9048 [D loss: 0.724423, acc.: 62.50%] [G loss: 0.761580]\n",
            "9049 [D loss: 0.683553, acc.: 53.12%] [G loss: 0.796982]\n",
            "9050 [D loss: 0.639408, acc.: 56.25%] [G loss: 0.823115]\n",
            "9051 [D loss: 0.708830, acc.: 59.38%] [G loss: 0.778702]\n",
            "9052 [D loss: 0.795505, acc.: 40.62%] [G loss: 0.817485]\n",
            "9053 [D loss: 0.669066, acc.: 59.38%] [G loss: 0.833022]\n",
            "9054 [D loss: 0.646809, acc.: 71.88%] [G loss: 0.757664]\n",
            "9055 [D loss: 0.660737, acc.: 59.38%] [G loss: 0.792359]\n",
            "9056 [D loss: 0.738704, acc.: 50.00%] [G loss: 0.805348]\n",
            "9057 [D loss: 0.713317, acc.: 46.88%] [G loss: 0.806164]\n",
            "9058 [D loss: 0.606677, acc.: 68.75%] [G loss: 0.886344]\n",
            "9059 [D loss: 0.676018, acc.: 65.62%] [G loss: 0.900912]\n",
            "9060 [D loss: 0.695665, acc.: 50.00%] [G loss: 0.808138]\n",
            "9061 [D loss: 0.745481, acc.: 46.88%] [G loss: 0.841607]\n",
            "9062 [D loss: 0.622103, acc.: 59.38%] [G loss: 0.852622]\n",
            "9063 [D loss: 0.652627, acc.: 62.50%] [G loss: 0.836653]\n",
            "9064 [D loss: 0.695863, acc.: 59.38%] [G loss: 0.850122]\n",
            "9065 [D loss: 0.639420, acc.: 75.00%] [G loss: 0.813375]\n",
            "9066 [D loss: 0.720415, acc.: 46.88%] [G loss: 0.812242]\n",
            "9067 [D loss: 0.686143, acc.: 65.62%] [G loss: 0.845511]\n",
            "9068 [D loss: 0.757699, acc.: 53.12%] [G loss: 0.806263]\n",
            "9069 [D loss: 0.658452, acc.: 62.50%] [G loss: 0.844281]\n",
            "9070 [D loss: 0.662840, acc.: 59.38%] [G loss: 0.845695]\n",
            "9071 [D loss: 0.673905, acc.: 59.38%] [G loss: 0.775409]\n",
            "9072 [D loss: 0.712662, acc.: 56.25%] [G loss: 0.795869]\n",
            "9073 [D loss: 0.641276, acc.: 65.62%] [G loss: 0.782501]\n",
            "9074 [D loss: 0.690789, acc.: 50.00%] [G loss: 0.832109]\n",
            "9075 [D loss: 0.681362, acc.: 56.25%] [G loss: 0.747221]\n",
            "9076 [D loss: 0.695096, acc.: 53.12%] [G loss: 0.748543]\n",
            "9077 [D loss: 0.653766, acc.: 62.50%] [G loss: 0.816386]\n",
            "9078 [D loss: 0.749837, acc.: 43.75%] [G loss: 0.817693]\n",
            "9079 [D loss: 0.695825, acc.: 53.12%] [G loss: 0.795229]\n",
            "9080 [D loss: 0.664871, acc.: 56.25%] [G loss: 0.823841]\n",
            "9081 [D loss: 0.705824, acc.: 59.38%] [G loss: 0.867772]\n",
            "9082 [D loss: 0.656023, acc.: 53.12%] [G loss: 0.742357]\n",
            "9083 [D loss: 0.709994, acc.: 56.25%] [G loss: 0.764012]\n",
            "9084 [D loss: 0.702471, acc.: 53.12%] [G loss: 0.829229]\n",
            "9085 [D loss: 0.607953, acc.: 71.88%] [G loss: 0.842265]\n",
            "9086 [D loss: 0.695032, acc.: 53.12%] [G loss: 0.795877]\n",
            "9087 [D loss: 0.662954, acc.: 56.25%] [G loss: 0.855152]\n",
            "9088 [D loss: 0.664160, acc.: 59.38%] [G loss: 0.743443]\n",
            "9089 [D loss: 0.679971, acc.: 59.38%] [G loss: 0.776996]\n",
            "9090 [D loss: 0.674181, acc.: 59.38%] [G loss: 0.798355]\n",
            "9091 [D loss: 0.731360, acc.: 40.62%] [G loss: 0.822264]\n",
            "9092 [D loss: 0.677056, acc.: 56.25%] [G loss: 0.821934]\n",
            "9093 [D loss: 0.639721, acc.: 62.50%] [G loss: 0.865004]\n",
            "9094 [D loss: 0.734414, acc.: 43.75%] [G loss: 0.828697]\n",
            "9095 [D loss: 0.684408, acc.: 50.00%] [G loss: 0.814336]\n",
            "9096 [D loss: 0.618685, acc.: 59.38%] [G loss: 0.802398]\n",
            "9097 [D loss: 0.732543, acc.: 46.88%] [G loss: 0.801887]\n",
            "9098 [D loss: 0.604299, acc.: 68.75%] [G loss: 0.831249]\n",
            "9099 [D loss: 0.682591, acc.: 59.38%] [G loss: 0.768986]\n",
            "9100 [D loss: 0.667509, acc.: 56.25%] [G loss: 0.751226]\n",
            "9101 [D loss: 0.720076, acc.: 56.25%] [G loss: 0.842254]\n",
            "9102 [D loss: 0.681614, acc.: 59.38%] [G loss: 0.813843]\n",
            "9103 [D loss: 0.657195, acc.: 59.38%] [G loss: 0.840753]\n",
            "9104 [D loss: 0.734797, acc.: 40.62%] [G loss: 0.804402]\n",
            "9105 [D loss: 0.687487, acc.: 56.25%] [G loss: 0.807200]\n",
            "9106 [D loss: 0.713156, acc.: 46.88%] [G loss: 0.776124]\n",
            "9107 [D loss: 0.621592, acc.: 71.88%] [G loss: 0.773308]\n",
            "9108 [D loss: 0.655818, acc.: 53.12%] [G loss: 0.765975]\n",
            "9109 [D loss: 0.720634, acc.: 56.25%] [G loss: 0.731570]\n",
            "9110 [D loss: 0.708110, acc.: 65.62%] [G loss: 0.795525]\n",
            "9111 [D loss: 0.671878, acc.: 62.50%] [G loss: 0.744063]\n",
            "9112 [D loss: 0.680273, acc.: 50.00%] [G loss: 0.808213]\n",
            "9113 [D loss: 0.665172, acc.: 59.38%] [G loss: 0.821634]\n",
            "9114 [D loss: 0.750868, acc.: 46.88%] [G loss: 0.805019]\n",
            "9115 [D loss: 0.636498, acc.: 68.75%] [G loss: 0.828646]\n",
            "9116 [D loss: 0.640919, acc.: 65.62%] [G loss: 0.808641]\n",
            "9117 [D loss: 0.713739, acc.: 50.00%] [G loss: 0.768436]\n",
            "9118 [D loss: 0.713611, acc.: 46.88%] [G loss: 0.839017]\n",
            "9119 [D loss: 0.704497, acc.: 53.12%] [G loss: 0.760157]\n",
            "9120 [D loss: 0.699509, acc.: 56.25%] [G loss: 0.814821]\n",
            "9121 [D loss: 0.680074, acc.: 53.12%] [G loss: 0.773165]\n",
            "9122 [D loss: 0.757036, acc.: 40.62%] [G loss: 0.769335]\n",
            "9123 [D loss: 0.653416, acc.: 53.12%] [G loss: 0.778829]\n",
            "9124 [D loss: 0.728914, acc.: 37.50%] [G loss: 0.874679]\n",
            "9125 [D loss: 0.702823, acc.: 53.12%] [G loss: 0.827840]\n",
            "9126 [D loss: 0.682023, acc.: 59.38%] [G loss: 0.846074]\n",
            "9127 [D loss: 0.635384, acc.: 62.50%] [G loss: 0.811347]\n",
            "9128 [D loss: 0.671090, acc.: 53.12%] [G loss: 0.755072]\n",
            "9129 [D loss: 0.773884, acc.: 43.75%] [G loss: 0.807447]\n",
            "9130 [D loss: 0.688954, acc.: 43.75%] [G loss: 0.749919]\n",
            "9131 [D loss: 0.729679, acc.: 53.12%] [G loss: 0.773677]\n",
            "9132 [D loss: 0.640117, acc.: 59.38%] [G loss: 0.825100]\n",
            "9133 [D loss: 0.668835, acc.: 59.38%] [G loss: 0.848291]\n",
            "9134 [D loss: 0.628429, acc.: 65.62%] [G loss: 0.822374]\n",
            "9135 [D loss: 0.655142, acc.: 65.62%] [G loss: 0.770512]\n",
            "9136 [D loss: 0.636168, acc.: 68.75%] [G loss: 0.846734]\n",
            "9137 [D loss: 0.746515, acc.: 46.88%] [G loss: 0.868611]\n",
            "9138 [D loss: 0.653856, acc.: 65.62%] [G loss: 0.816759]\n",
            "9139 [D loss: 0.682681, acc.: 59.38%] [G loss: 0.842969]\n",
            "9140 [D loss: 0.717307, acc.: 59.38%] [G loss: 0.839619]\n",
            "9141 [D loss: 0.702995, acc.: 43.75%] [G loss: 0.791931]\n",
            "9142 [D loss: 0.690604, acc.: 53.12%] [G loss: 0.763331]\n",
            "9143 [D loss: 0.650443, acc.: 59.38%] [G loss: 0.777187]\n",
            "9144 [D loss: 0.701084, acc.: 56.25%] [G loss: 0.842982]\n",
            "9145 [D loss: 0.651784, acc.: 68.75%] [G loss: 0.813369]\n",
            "9146 [D loss: 0.683064, acc.: 53.12%] [G loss: 0.833217]\n",
            "9147 [D loss: 0.739369, acc.: 46.88%] [G loss: 0.804791]\n",
            "9148 [D loss: 0.670253, acc.: 50.00%] [G loss: 0.791729]\n",
            "9149 [D loss: 0.658186, acc.: 65.62%] [G loss: 0.801363]\n",
            "9150 [D loss: 0.650433, acc.: 68.75%] [G loss: 0.821533]\n",
            "9151 [D loss: 0.635382, acc.: 59.38%] [G loss: 0.842961]\n",
            "9152 [D loss: 0.663036, acc.: 56.25%] [G loss: 0.893889]\n",
            "9153 [D loss: 0.629713, acc.: 71.88%] [G loss: 0.901791]\n",
            "9154 [D loss: 0.722489, acc.: 59.38%] [G loss: 0.831482]\n",
            "9155 [D loss: 0.685577, acc.: 50.00%] [G loss: 0.772117]\n",
            "9156 [D loss: 0.688456, acc.: 50.00%] [G loss: 0.792503]\n",
            "9157 [D loss: 0.729982, acc.: 46.88%] [G loss: 0.798963]\n",
            "9158 [D loss: 0.609537, acc.: 65.62%] [G loss: 0.757377]\n",
            "9159 [D loss: 0.685493, acc.: 46.88%] [G loss: 0.799690]\n",
            "9160 [D loss: 0.662329, acc.: 59.38%] [G loss: 0.805830]\n",
            "9161 [D loss: 0.706983, acc.: 40.62%] [G loss: 0.786018]\n",
            "9162 [D loss: 0.680766, acc.: 65.62%] [G loss: 0.835617]\n",
            "9163 [D loss: 0.677744, acc.: 53.12%] [G loss: 0.812531]\n",
            "9164 [D loss: 0.687822, acc.: 43.75%] [G loss: 0.756045]\n",
            "9165 [D loss: 0.640097, acc.: 68.75%] [G loss: 0.798612]\n",
            "9166 [D loss: 0.663064, acc.: 56.25%] [G loss: 0.804986]\n",
            "9167 [D loss: 0.748103, acc.: 31.25%] [G loss: 0.786685]\n",
            "9168 [D loss: 0.618688, acc.: 68.75%] [G loss: 0.820888]\n",
            "9169 [D loss: 0.709949, acc.: 40.62%] [G loss: 0.804502]\n",
            "9170 [D loss: 0.753635, acc.: 46.88%] [G loss: 0.828498]\n",
            "9171 [D loss: 0.725270, acc.: 50.00%] [G loss: 0.873784]\n",
            "9172 [D loss: 0.687454, acc.: 53.12%] [G loss: 0.827540]\n",
            "9173 [D loss: 0.636983, acc.: 71.88%] [G loss: 0.836783]\n",
            "9174 [D loss: 0.672707, acc.: 53.12%] [G loss: 0.807064]\n",
            "9175 [D loss: 0.779748, acc.: 46.88%] [G loss: 0.757353]\n",
            "9176 [D loss: 0.760198, acc.: 40.62%] [G loss: 0.781577]\n",
            "9177 [D loss: 0.666633, acc.: 62.50%] [G loss: 0.739604]\n",
            "9178 [D loss: 0.709185, acc.: 56.25%] [G loss: 0.788039]\n",
            "9179 [D loss: 0.688583, acc.: 56.25%] [G loss: 0.766924]\n",
            "9180 [D loss: 0.657132, acc.: 59.38%] [G loss: 0.831948]\n",
            "9181 [D loss: 0.697419, acc.: 56.25%] [G loss: 0.794271]\n",
            "9182 [D loss: 0.617931, acc.: 62.50%] [G loss: 0.825739]\n",
            "9183 [D loss: 0.680620, acc.: 56.25%] [G loss: 0.845565]\n",
            "9184 [D loss: 0.674613, acc.: 53.12%] [G loss: 0.885190]\n",
            "9185 [D loss: 0.622930, acc.: 68.75%] [G loss: 0.830341]\n",
            "9186 [D loss: 0.699551, acc.: 62.50%] [G loss: 0.740615]\n",
            "9187 [D loss: 0.700217, acc.: 62.50%] [G loss: 0.820158]\n",
            "9188 [D loss: 0.631517, acc.: 71.88%] [G loss: 0.747362]\n",
            "9189 [D loss: 0.695390, acc.: 46.88%] [G loss: 0.753912]\n",
            "9190 [D loss: 0.720426, acc.: 46.88%] [G loss: 0.748032]\n",
            "9191 [D loss: 0.673249, acc.: 46.88%] [G loss: 0.836582]\n",
            "9192 [D loss: 0.654379, acc.: 56.25%] [G loss: 0.851701]\n",
            "9193 [D loss: 0.644711, acc.: 56.25%] [G loss: 0.861777]\n",
            "9194 [D loss: 0.671726, acc.: 62.50%] [G loss: 0.817565]\n",
            "9195 [D loss: 0.703853, acc.: 59.38%] [G loss: 0.841253]\n",
            "9196 [D loss: 0.658439, acc.: 62.50%] [G loss: 0.806155]\n",
            "9197 [D loss: 0.641933, acc.: 65.62%] [G loss: 0.861741]\n",
            "9198 [D loss: 0.644935, acc.: 65.62%] [G loss: 0.813045]\n",
            "9199 [D loss: 0.699577, acc.: 50.00%] [G loss: 0.785582]\n",
            "9200 [D loss: 0.692652, acc.: 50.00%] [G loss: 0.815990]\n",
            "9201 [D loss: 0.703181, acc.: 53.12%] [G loss: 0.859477]\n",
            "9202 [D loss: 0.609241, acc.: 75.00%] [G loss: 0.832031]\n",
            "9203 [D loss: 0.698651, acc.: 56.25%] [G loss: 0.810364]\n",
            "9204 [D loss: 0.642339, acc.: 59.38%] [G loss: 0.816724]\n",
            "9205 [D loss: 0.657881, acc.: 65.62%] [G loss: 0.843272]\n",
            "9206 [D loss: 0.643128, acc.: 59.38%] [G loss: 0.876251]\n",
            "9207 [D loss: 0.700262, acc.: 56.25%] [G loss: 0.845620]\n",
            "9208 [D loss: 0.694654, acc.: 56.25%] [G loss: 0.891006]\n",
            "9209 [D loss: 0.699580, acc.: 50.00%] [G loss: 0.796859]\n",
            "9210 [D loss: 0.615057, acc.: 62.50%] [G loss: 0.780121]\n",
            "9211 [D loss: 0.689254, acc.: 50.00%] [G loss: 0.805848]\n",
            "9212 [D loss: 0.619313, acc.: 75.00%] [G loss: 0.831582]\n",
            "9213 [D loss: 0.643794, acc.: 68.75%] [G loss: 0.790147]\n",
            "9214 [D loss: 0.694040, acc.: 53.12%] [G loss: 0.732749]\n",
            "9215 [D loss: 0.705876, acc.: 53.12%] [G loss: 0.758499]\n",
            "9216 [D loss: 0.768946, acc.: 34.38%] [G loss: 0.796453]\n",
            "9217 [D loss: 0.745534, acc.: 53.12%] [G loss: 0.794665]\n",
            "9218 [D loss: 0.652960, acc.: 62.50%] [G loss: 0.879935]\n",
            "9219 [D loss: 0.684731, acc.: 53.12%] [G loss: 0.781849]\n",
            "9220 [D loss: 0.698237, acc.: 56.25%] [G loss: 0.843766]\n",
            "9221 [D loss: 0.728748, acc.: 56.25%] [G loss: 0.837304]\n",
            "9222 [D loss: 0.697331, acc.: 59.38%] [G loss: 0.839454]\n",
            "9223 [D loss: 0.628944, acc.: 62.50%] [G loss: 0.835996]\n",
            "9224 [D loss: 0.727346, acc.: 34.38%] [G loss: 0.759005]\n",
            "9225 [D loss: 0.661949, acc.: 59.38%] [G loss: 0.787758]\n",
            "9226 [D loss: 0.712885, acc.: 46.88%] [G loss: 0.812170]\n",
            "9227 [D loss: 0.644805, acc.: 65.62%] [G loss: 0.772117]\n",
            "9228 [D loss: 0.721718, acc.: 43.75%] [G loss: 0.785591]\n",
            "9229 [D loss: 0.625491, acc.: 65.62%] [G loss: 0.786262]\n",
            "9230 [D loss: 0.632752, acc.: 75.00%] [G loss: 0.794714]\n",
            "9231 [D loss: 0.769243, acc.: 37.50%] [G loss: 0.799894]\n",
            "9232 [D loss: 0.638575, acc.: 71.88%] [G loss: 0.844782]\n",
            "9233 [D loss: 0.799810, acc.: 40.62%] [G loss: 0.779102]\n",
            "9234 [D loss: 0.664045, acc.: 59.38%] [G loss: 0.739093]\n",
            "9235 [D loss: 0.700716, acc.: 46.88%] [G loss: 0.766582]\n",
            "9236 [D loss: 0.733888, acc.: 56.25%] [G loss: 0.829818]\n",
            "9237 [D loss: 0.648143, acc.: 56.25%] [G loss: 0.805375]\n",
            "9238 [D loss: 0.623238, acc.: 75.00%] [G loss: 0.816868]\n",
            "9239 [D loss: 0.705798, acc.: 53.12%] [G loss: 0.776037]\n",
            "9240 [D loss: 0.680766, acc.: 59.38%] [G loss: 0.825916]\n",
            "9241 [D loss: 0.685773, acc.: 62.50%] [G loss: 0.794873]\n",
            "9242 [D loss: 0.652699, acc.: 68.75%] [G loss: 0.845392]\n",
            "9243 [D loss: 0.718975, acc.: 59.38%] [G loss: 0.841708]\n",
            "9244 [D loss: 0.671731, acc.: 65.62%] [G loss: 0.810040]\n",
            "9245 [D loss: 0.694828, acc.: 53.12%] [G loss: 0.825276]\n",
            "9246 [D loss: 0.619596, acc.: 71.88%] [G loss: 0.800181]\n",
            "9247 [D loss: 0.669142, acc.: 68.75%] [G loss: 0.799653]\n",
            "9248 [D loss: 0.722690, acc.: 56.25%] [G loss: 0.757093]\n",
            "9249 [D loss: 0.684355, acc.: 53.12%] [G loss: 0.736698]\n",
            "9250 [D loss: 0.721415, acc.: 53.12%] [G loss: 0.783819]\n",
            "9251 [D loss: 0.646183, acc.: 68.75%] [G loss: 0.784820]\n",
            "9252 [D loss: 0.683231, acc.: 59.38%] [G loss: 0.824025]\n",
            "9253 [D loss: 0.681109, acc.: 56.25%] [G loss: 0.860156]\n",
            "9254 [D loss: 0.638469, acc.: 59.38%] [G loss: 0.855039]\n",
            "9255 [D loss: 0.653049, acc.: 65.62%] [G loss: 0.860253]\n",
            "9256 [D loss: 0.709515, acc.: 43.75%] [G loss: 0.881716]\n",
            "9257 [D loss: 0.724976, acc.: 43.75%] [G loss: 0.829280]\n",
            "9258 [D loss: 0.692482, acc.: 50.00%] [G loss: 0.790787]\n",
            "9259 [D loss: 0.704877, acc.: 50.00%] [G loss: 0.869781]\n",
            "9260 [D loss: 0.742085, acc.: 40.62%] [G loss: 0.837380]\n",
            "9261 [D loss: 0.669507, acc.: 59.38%] [G loss: 0.796298]\n",
            "9262 [D loss: 0.711460, acc.: 53.12%] [G loss: 0.821515]\n",
            "9263 [D loss: 0.659499, acc.: 65.62%] [G loss: 0.853366]\n",
            "9264 [D loss: 0.631485, acc.: 68.75%] [G loss: 0.825027]\n",
            "9265 [D loss: 0.627829, acc.: 65.62%] [G loss: 0.865264]\n",
            "9266 [D loss: 0.696112, acc.: 56.25%] [G loss: 0.777264]\n",
            "9267 [D loss: 0.677130, acc.: 59.38%] [G loss: 0.783932]\n",
            "9268 [D loss: 0.732807, acc.: 40.62%] [G loss: 0.817697]\n",
            "9269 [D loss: 0.686859, acc.: 56.25%] [G loss: 0.787864]\n",
            "9270 [D loss: 0.670410, acc.: 62.50%] [G loss: 0.831801]\n",
            "9271 [D loss: 0.648525, acc.: 68.75%] [G loss: 0.741711]\n",
            "9272 [D loss: 0.676309, acc.: 53.12%] [G loss: 0.835701]\n",
            "9273 [D loss: 0.665125, acc.: 56.25%] [G loss: 0.764356]\n",
            "9274 [D loss: 0.660437, acc.: 71.88%] [G loss: 0.723127]\n",
            "9275 [D loss: 0.640103, acc.: 71.88%] [G loss: 0.775023]\n",
            "9276 [D loss: 0.721131, acc.: 65.62%] [G loss: 0.807760]\n",
            "9277 [D loss: 0.726073, acc.: 56.25%] [G loss: 0.833516]\n",
            "9278 [D loss: 0.593308, acc.: 65.62%] [G loss: 0.787704]\n",
            "9279 [D loss: 0.750901, acc.: 53.12%] [G loss: 0.731229]\n",
            "9280 [D loss: 0.682342, acc.: 53.12%] [G loss: 0.756968]\n",
            "9281 [D loss: 0.697864, acc.: 56.25%] [G loss: 0.738566]\n",
            "9282 [D loss: 0.753329, acc.: 40.62%] [G loss: 0.779841]\n",
            "9283 [D loss: 0.702469, acc.: 50.00%] [G loss: 0.783665]\n",
            "9284 [D loss: 0.674425, acc.: 59.38%] [G loss: 0.767435]\n",
            "9285 [D loss: 0.730597, acc.: 46.88%] [G loss: 0.796978]\n",
            "9286 [D loss: 0.731021, acc.: 46.88%] [G loss: 0.770795]\n",
            "9287 [D loss: 0.681957, acc.: 56.25%] [G loss: 0.782680]\n",
            "9288 [D loss: 0.625830, acc.: 65.62%] [G loss: 0.761776]\n",
            "9289 [D loss: 0.589698, acc.: 75.00%] [G loss: 0.829830]\n",
            "9290 [D loss: 0.671627, acc.: 62.50%] [G loss: 0.848749]\n",
            "9291 [D loss: 0.711038, acc.: 46.88%] [G loss: 0.837893]\n",
            "9292 [D loss: 0.693770, acc.: 59.38%] [G loss: 0.864720]\n",
            "9293 [D loss: 0.677263, acc.: 46.88%] [G loss: 0.853141]\n",
            "9294 [D loss: 0.685693, acc.: 53.12%] [G loss: 0.824820]\n",
            "9295 [D loss: 0.651113, acc.: 68.75%] [G loss: 0.800209]\n",
            "9296 [D loss: 0.661696, acc.: 59.38%] [G loss: 0.865706]\n",
            "9297 [D loss: 0.679320, acc.: 56.25%] [G loss: 0.869189]\n",
            "9298 [D loss: 0.670894, acc.: 68.75%] [G loss: 0.816307]\n",
            "9299 [D loss: 0.799743, acc.: 46.88%] [G loss: 0.835688]\n",
            "9300 [D loss: 0.679746, acc.: 65.62%] [G loss: 0.809178]\n",
            "9301 [D loss: 0.706392, acc.: 46.88%] [G loss: 0.794306]\n",
            "9302 [D loss: 0.673826, acc.: 56.25%] [G loss: 0.853987]\n",
            "9303 [D loss: 0.663462, acc.: 62.50%] [G loss: 0.838267]\n",
            "9304 [D loss: 0.818643, acc.: 28.12%] [G loss: 0.817011]\n",
            "9305 [D loss: 0.680306, acc.: 62.50%] [G loss: 0.781759]\n",
            "9306 [D loss: 0.673502, acc.: 59.38%] [G loss: 0.790553]\n",
            "9307 [D loss: 0.681347, acc.: 59.38%] [G loss: 0.786026]\n",
            "9308 [D loss: 0.699225, acc.: 59.38%] [G loss: 0.829338]\n",
            "9309 [D loss: 0.664822, acc.: 59.38%] [G loss: 0.809457]\n",
            "9310 [D loss: 0.655915, acc.: 59.38%] [G loss: 0.725539]\n",
            "9311 [D loss: 0.693131, acc.: 50.00%] [G loss: 0.799848]\n",
            "9312 [D loss: 0.657076, acc.: 62.50%] [G loss: 0.812096]\n",
            "9313 [D loss: 0.704815, acc.: 65.62%] [G loss: 0.758650]\n",
            "9314 [D loss: 0.683364, acc.: 71.88%] [G loss: 0.861236]\n",
            "9315 [D loss: 0.729538, acc.: 46.88%] [G loss: 0.861550]\n",
            "9316 [D loss: 0.600561, acc.: 71.88%] [G loss: 0.812110]\n",
            "9317 [D loss: 0.705730, acc.: 53.12%] [G loss: 0.865260]\n",
            "9318 [D loss: 0.737842, acc.: 43.75%] [G loss: 0.836233]\n",
            "9319 [D loss: 0.700097, acc.: 56.25%] [G loss: 0.799309]\n",
            "9320 [D loss: 0.732559, acc.: 43.75%] [G loss: 0.793882]\n",
            "9321 [D loss: 0.645769, acc.: 62.50%] [G loss: 0.812837]\n",
            "9322 [D loss: 0.695855, acc.: 43.75%] [G loss: 0.819669]\n",
            "9323 [D loss: 0.652540, acc.: 68.75%] [G loss: 0.812754]\n",
            "9324 [D loss: 0.718926, acc.: 56.25%] [G loss: 0.783425]\n",
            "9325 [D loss: 0.672231, acc.: 62.50%] [G loss: 0.798692]\n",
            "9326 [D loss: 0.716437, acc.: 50.00%] [G loss: 0.815617]\n",
            "9327 [D loss: 0.599065, acc.: 71.88%] [G loss: 0.810832]\n",
            "9328 [D loss: 0.658199, acc.: 65.62%] [G loss: 0.861125]\n",
            "9329 [D loss: 0.665319, acc.: 56.25%] [G loss: 0.852897]\n",
            "9330 [D loss: 0.674423, acc.: 65.62%] [G loss: 0.879674]\n",
            "9331 [D loss: 0.660951, acc.: 56.25%] [G loss: 0.846805]\n",
            "9332 [D loss: 0.753129, acc.: 31.25%] [G loss: 0.845561]\n",
            "9333 [D loss: 0.623921, acc.: 68.75%] [G loss: 0.808080]\n",
            "9334 [D loss: 0.690750, acc.: 65.62%] [G loss: 0.846198]\n",
            "9335 [D loss: 0.725736, acc.: 62.50%] [G loss: 0.802205]\n",
            "9336 [D loss: 0.721697, acc.: 40.62%] [G loss: 0.783690]\n",
            "9337 [D loss: 0.608714, acc.: 68.75%] [G loss: 0.848955]\n",
            "9338 [D loss: 0.641119, acc.: 68.75%] [G loss: 0.871284]\n",
            "9339 [D loss: 0.672009, acc.: 65.62%] [G loss: 0.821545]\n",
            "9340 [D loss: 0.667003, acc.: 68.75%] [G loss: 0.842848]\n",
            "9341 [D loss: 0.678621, acc.: 53.12%] [G loss: 0.863666]\n",
            "9342 [D loss: 0.592610, acc.: 75.00%] [G loss: 0.883032]\n",
            "9343 [D loss: 0.647099, acc.: 62.50%] [G loss: 0.916712]\n",
            "9344 [D loss: 0.691124, acc.: 53.12%] [G loss: 0.901207]\n",
            "9345 [D loss: 0.693374, acc.: 56.25%] [G loss: 0.855622]\n",
            "9346 [D loss: 0.756040, acc.: 50.00%] [G loss: 0.751841]\n",
            "9347 [D loss: 0.714520, acc.: 56.25%] [G loss: 0.831745]\n",
            "9348 [D loss: 0.639901, acc.: 65.62%] [G loss: 0.796782]\n",
            "9349 [D loss: 0.753607, acc.: 56.25%] [G loss: 0.850637]\n",
            "9350 [D loss: 0.674364, acc.: 56.25%] [G loss: 0.818569]\n",
            "9351 [D loss: 0.650745, acc.: 65.62%] [G loss: 0.899747]\n",
            "9352 [D loss: 0.712788, acc.: 50.00%] [G loss: 0.821338]\n",
            "9353 [D loss: 0.640840, acc.: 59.38%] [G loss: 0.867440]\n",
            "9354 [D loss: 0.699828, acc.: 50.00%] [G loss: 0.843584]\n",
            "9355 [D loss: 0.619480, acc.: 71.88%] [G loss: 0.877063]\n",
            "9356 [D loss: 0.633161, acc.: 59.38%] [G loss: 0.862546]\n",
            "9357 [D loss: 0.658170, acc.: 59.38%] [G loss: 0.896367]\n",
            "9358 [D loss: 0.668723, acc.: 59.38%] [G loss: 0.799713]\n",
            "9359 [D loss: 0.566796, acc.: 71.88%] [G loss: 0.828693]\n",
            "9360 [D loss: 0.668843, acc.: 59.38%] [G loss: 0.834704]\n",
            "9361 [D loss: 0.636085, acc.: 56.25%] [G loss: 0.881438]\n",
            "9362 [D loss: 0.690444, acc.: 53.12%] [G loss: 0.797858]\n",
            "9363 [D loss: 0.620686, acc.: 62.50%] [G loss: 0.845567]\n",
            "9364 [D loss: 0.713004, acc.: 53.12%] [G loss: 0.827620]\n",
            "9365 [D loss: 0.591102, acc.: 71.88%] [G loss: 0.810548]\n",
            "9366 [D loss: 0.653403, acc.: 59.38%] [G loss: 0.781696]\n",
            "9367 [D loss: 0.805771, acc.: 34.38%] [G loss: 0.761327]\n",
            "9368 [D loss: 0.676804, acc.: 59.38%] [G loss: 0.855753]\n",
            "9369 [D loss: 0.629630, acc.: 68.75%] [G loss: 0.804171]\n",
            "9370 [D loss: 0.671157, acc.: 62.50%] [G loss: 0.782484]\n",
            "9371 [D loss: 0.647419, acc.: 59.38%] [G loss: 0.842316]\n",
            "9372 [D loss: 0.626107, acc.: 59.38%] [G loss: 0.862428]\n",
            "9373 [D loss: 0.712707, acc.: 46.88%] [G loss: 0.803197]\n",
            "9374 [D loss: 0.684142, acc.: 53.12%] [G loss: 0.769995]\n",
            "9375 [D loss: 0.684267, acc.: 56.25%] [G loss: 0.724668]\n",
            "9376 [D loss: 0.686946, acc.: 59.38%] [G loss: 0.776967]\n",
            "9377 [D loss: 0.658684, acc.: 50.00%] [G loss: 0.783609]\n",
            "9378 [D loss: 0.688020, acc.: 53.12%] [G loss: 0.771647]\n",
            "9379 [D loss: 0.725734, acc.: 50.00%] [G loss: 0.829532]\n",
            "9380 [D loss: 0.622759, acc.: 68.75%] [G loss: 0.839508]\n",
            "9381 [D loss: 0.668079, acc.: 56.25%] [G loss: 0.813626]\n",
            "9382 [D loss: 0.705431, acc.: 59.38%] [G loss: 0.781784]\n",
            "9383 [D loss: 0.670099, acc.: 59.38%] [G loss: 0.774429]\n",
            "9384 [D loss: 0.698836, acc.: 59.38%] [G loss: 0.766735]\n",
            "9385 [D loss: 0.695961, acc.: 53.12%] [G loss: 0.790094]\n",
            "9386 [D loss: 0.724670, acc.: 46.88%] [G loss: 0.774567]\n",
            "9387 [D loss: 0.756709, acc.: 43.75%] [G loss: 0.830451]\n",
            "9388 [D loss: 0.662501, acc.: 62.50%] [G loss: 0.834104]\n",
            "9389 [D loss: 0.571477, acc.: 78.12%] [G loss: 0.898054]\n",
            "9390 [D loss: 0.663040, acc.: 56.25%] [G loss: 0.859157]\n",
            "9391 [D loss: 0.764679, acc.: 46.88%] [G loss: 0.802150]\n",
            "9392 [D loss: 0.729943, acc.: 56.25%] [G loss: 0.888250]\n",
            "9393 [D loss: 0.643364, acc.: 68.75%] [G loss: 0.906601]\n",
            "9394 [D loss: 0.636768, acc.: 65.62%] [G loss: 0.879834]\n",
            "9395 [D loss: 0.750365, acc.: 43.75%] [G loss: 0.833112]\n",
            "9396 [D loss: 0.676036, acc.: 59.38%] [G loss: 0.908672]\n",
            "9397 [D loss: 0.698017, acc.: 50.00%] [G loss: 0.872630]\n",
            "9398 [D loss: 0.659854, acc.: 53.12%] [G loss: 0.812760]\n",
            "9399 [D loss: 0.694797, acc.: 46.88%] [G loss: 0.804461]\n",
            "9400 [D loss: 0.650466, acc.: 71.88%] [G loss: 0.872478]\n",
            "9401 [D loss: 0.701485, acc.: 50.00%] [G loss: 0.767254]\n",
            "9402 [D loss: 0.664267, acc.: 53.12%] [G loss: 0.763140]\n",
            "9403 [D loss: 0.631661, acc.: 62.50%] [G loss: 0.765612]\n",
            "9404 [D loss: 0.744091, acc.: 40.62%] [G loss: 0.816958]\n",
            "9405 [D loss: 0.669895, acc.: 50.00%] [G loss: 0.848694]\n",
            "9406 [D loss: 0.699329, acc.: 53.12%] [G loss: 0.848936]\n",
            "9407 [D loss: 0.697042, acc.: 43.75%] [G loss: 0.815964]\n",
            "9408 [D loss: 0.661647, acc.: 62.50%] [G loss: 0.843335]\n",
            "9409 [D loss: 0.751466, acc.: 62.50%] [G loss: 0.893667]\n",
            "9410 [D loss: 0.597428, acc.: 78.12%] [G loss: 0.875575]\n",
            "9411 [D loss: 0.615805, acc.: 75.00%] [G loss: 0.870100]\n",
            "9412 [D loss: 0.738596, acc.: 53.12%] [G loss: 0.886633]\n",
            "9413 [D loss: 0.710463, acc.: 53.12%] [G loss: 0.831007]\n",
            "9414 [D loss: 0.671495, acc.: 62.50%] [G loss: 0.855882]\n",
            "9415 [D loss: 0.670582, acc.: 56.25%] [G loss: 0.905056]\n",
            "9416 [D loss: 0.724077, acc.: 43.75%] [G loss: 0.887140]\n",
            "9417 [D loss: 0.732058, acc.: 43.75%] [G loss: 0.881968]\n",
            "9418 [D loss: 0.605187, acc.: 65.62%] [G loss: 0.783666]\n",
            "9419 [D loss: 0.734468, acc.: 53.12%] [G loss: 0.787105]\n",
            "9420 [D loss: 0.779012, acc.: 28.12%] [G loss: 0.825121]\n",
            "9421 [D loss: 0.635709, acc.: 68.75%] [G loss: 0.841726]\n",
            "9422 [D loss: 0.632104, acc.: 59.38%] [G loss: 0.886144]\n",
            "9423 [D loss: 0.639441, acc.: 62.50%] [G loss: 0.846295]\n",
            "9424 [D loss: 0.667205, acc.: 50.00%] [G loss: 0.796558]\n",
            "9425 [D loss: 0.706135, acc.: 43.75%] [G loss: 0.847449]\n",
            "9426 [D loss: 0.723262, acc.: 46.88%] [G loss: 0.813534]\n",
            "9427 [D loss: 0.704215, acc.: 53.12%] [G loss: 0.791014]\n",
            "9428 [D loss: 0.697710, acc.: 62.50%] [G loss: 0.813577]\n",
            "9429 [D loss: 0.654836, acc.: 65.62%] [G loss: 0.823636]\n",
            "9430 [D loss: 0.641962, acc.: 62.50%] [G loss: 0.811773]\n",
            "9431 [D loss: 0.700840, acc.: 46.88%] [G loss: 0.821733]\n",
            "9432 [D loss: 0.594198, acc.: 78.12%] [G loss: 0.838113]\n",
            "9433 [D loss: 0.661283, acc.: 59.38%] [G loss: 0.807749]\n",
            "9434 [D loss: 0.704272, acc.: 43.75%] [G loss: 0.835143]\n",
            "9435 [D loss: 0.679887, acc.: 65.62%] [G loss: 0.875568]\n",
            "9436 [D loss: 0.694279, acc.: 50.00%] [G loss: 0.833810]\n",
            "9437 [D loss: 0.678266, acc.: 68.75%] [G loss: 0.833649]\n",
            "9438 [D loss: 0.751923, acc.: 40.62%] [G loss: 0.807676]\n",
            "9439 [D loss: 0.668634, acc.: 56.25%] [G loss: 0.889795]\n",
            "9440 [D loss: 0.712075, acc.: 65.62%] [G loss: 0.810883]\n",
            "9441 [D loss: 0.624378, acc.: 71.88%] [G loss: 0.843966]\n",
            "9442 [D loss: 0.689234, acc.: 59.38%] [G loss: 0.813339]\n",
            "9443 [D loss: 0.677172, acc.: 59.38%] [G loss: 0.837575]\n",
            "9444 [D loss: 0.640671, acc.: 59.38%] [G loss: 0.874595]\n",
            "9445 [D loss: 0.762503, acc.: 46.88%] [G loss: 0.837965]\n",
            "9446 [D loss: 0.740274, acc.: 46.88%] [G loss: 0.753000]\n",
            "9447 [D loss: 0.619459, acc.: 75.00%] [G loss: 0.769738]\n",
            "9448 [D loss: 0.623804, acc.: 62.50%] [G loss: 0.780648]\n",
            "9449 [D loss: 0.729752, acc.: 50.00%] [G loss: 0.740134]\n",
            "9450 [D loss: 0.645872, acc.: 68.75%] [G loss: 0.863628]\n",
            "9451 [D loss: 0.754794, acc.: 43.75%] [G loss: 0.746293]\n",
            "9452 [D loss: 0.687962, acc.: 50.00%] [G loss: 0.781677]\n",
            "9453 [D loss: 0.682000, acc.: 50.00%] [G loss: 0.869075]\n",
            "9454 [D loss: 0.662729, acc.: 59.38%] [G loss: 0.882668]\n",
            "9455 [D loss: 0.705437, acc.: 56.25%] [G loss: 0.876211]\n",
            "9456 [D loss: 0.677303, acc.: 62.50%] [G loss: 0.905768]\n",
            "9457 [D loss: 0.636922, acc.: 75.00%] [G loss: 0.885269]\n",
            "9458 [D loss: 0.622410, acc.: 62.50%] [G loss: 0.904713]\n",
            "9459 [D loss: 0.655801, acc.: 65.62%] [G loss: 0.935717]\n",
            "9460 [D loss: 0.725442, acc.: 53.12%] [G loss: 0.831258]\n",
            "9461 [D loss: 0.688868, acc.: 65.62%] [G loss: 0.821456]\n",
            "9462 [D loss: 0.657066, acc.: 50.00%] [G loss: 0.778868]\n",
            "9463 [D loss: 0.647643, acc.: 65.62%] [G loss: 0.777741]\n",
            "9464 [D loss: 0.697606, acc.: 56.25%] [G loss: 0.814603]\n",
            "9465 [D loss: 0.678817, acc.: 68.75%] [G loss: 0.793371]\n",
            "9466 [D loss: 0.622529, acc.: 68.75%] [G loss: 0.825548]\n",
            "9467 [D loss: 0.596278, acc.: 71.88%] [G loss: 0.848189]\n",
            "9468 [D loss: 0.657035, acc.: 65.62%] [G loss: 0.825981]\n",
            "9469 [D loss: 0.732699, acc.: 40.62%] [G loss: 0.855142]\n",
            "9470 [D loss: 0.630470, acc.: 59.38%] [G loss: 0.859092]\n",
            "9471 [D loss: 0.653559, acc.: 65.62%] [G loss: 0.830757]\n",
            "9472 [D loss: 0.654473, acc.: 59.38%] [G loss: 0.808824]\n",
            "9473 [D loss: 0.654121, acc.: 71.88%] [G loss: 0.846155]\n",
            "9474 [D loss: 0.692090, acc.: 56.25%] [G loss: 0.831311]\n",
            "9475 [D loss: 0.690597, acc.: 59.38%] [G loss: 0.721316]\n",
            "9476 [D loss: 0.741878, acc.: 28.12%] [G loss: 0.757874]\n",
            "9477 [D loss: 0.643207, acc.: 56.25%] [G loss: 0.805247]\n",
            "9478 [D loss: 0.734929, acc.: 53.12%] [G loss: 0.814184]\n",
            "9479 [D loss: 0.692320, acc.: 40.62%] [G loss: 0.780901]\n",
            "9480 [D loss: 0.643558, acc.: 68.75%] [G loss: 0.867868]\n",
            "9481 [D loss: 0.672089, acc.: 56.25%] [G loss: 0.839866]\n",
            "9482 [D loss: 0.680793, acc.: 62.50%] [G loss: 0.856976]\n",
            "9483 [D loss: 0.679209, acc.: 59.38%] [G loss: 0.756342]\n",
            "9484 [D loss: 0.657358, acc.: 71.88%] [G loss: 0.785876]\n",
            "9485 [D loss: 0.660491, acc.: 59.38%] [G loss: 0.780888]\n",
            "9486 [D loss: 0.683168, acc.: 59.38%] [G loss: 0.850214]\n",
            "9487 [D loss: 0.657897, acc.: 62.50%] [G loss: 0.856020]\n",
            "9488 [D loss: 0.661777, acc.: 59.38%] [G loss: 0.846260]\n",
            "9489 [D loss: 0.613762, acc.: 71.88%] [G loss: 0.824343]\n",
            "9490 [D loss: 0.674375, acc.: 65.62%] [G loss: 0.801500]\n",
            "9491 [D loss: 0.697249, acc.: 50.00%] [G loss: 0.860879]\n",
            "9492 [D loss: 0.692059, acc.: 56.25%] [G loss: 0.846528]\n",
            "9493 [D loss: 0.705053, acc.: 56.25%] [G loss: 0.857463]\n",
            "9494 [D loss: 0.667857, acc.: 56.25%] [G loss: 0.765834]\n",
            "9495 [D loss: 0.677381, acc.: 65.62%] [G loss: 0.794475]\n",
            "9496 [D loss: 0.604269, acc.: 68.75%] [G loss: 0.797453]\n",
            "9497 [D loss: 0.673688, acc.: 56.25%] [G loss: 0.804062]\n",
            "9498 [D loss: 0.718699, acc.: 53.12%] [G loss: 0.783575]\n",
            "9499 [D loss: 0.636936, acc.: 59.38%] [G loss: 0.853706]\n",
            "9500 [D loss: 0.632814, acc.: 65.62%] [G loss: 0.801954]\n",
            "9501 [D loss: 0.765495, acc.: 53.12%] [G loss: 0.735671]\n",
            "9502 [D loss: 0.631717, acc.: 65.62%] [G loss: 0.763687]\n",
            "9503 [D loss: 0.732050, acc.: 40.62%] [G loss: 0.818788]\n",
            "9504 [D loss: 0.644148, acc.: 65.62%] [G loss: 0.886416]\n",
            "9505 [D loss: 0.674284, acc.: 59.38%] [G loss: 0.838430]\n",
            "9506 [D loss: 0.686123, acc.: 56.25%] [G loss: 0.830570]\n",
            "9507 [D loss: 0.699517, acc.: 53.12%] [G loss: 0.811768]\n",
            "9508 [D loss: 0.689022, acc.: 53.12%] [G loss: 0.842104]\n",
            "9509 [D loss: 0.648316, acc.: 56.25%] [G loss: 0.813289]\n",
            "9510 [D loss: 0.699462, acc.: 53.12%] [G loss: 0.877445]\n",
            "9511 [D loss: 0.704020, acc.: 56.25%] [G loss: 0.883267]\n",
            "9512 [D loss: 0.697288, acc.: 40.62%] [G loss: 0.810638]\n",
            "9513 [D loss: 0.629939, acc.: 71.88%] [G loss: 0.839514]\n",
            "9514 [D loss: 0.674848, acc.: 56.25%] [G loss: 0.838830]\n",
            "9515 [D loss: 0.610268, acc.: 71.88%] [G loss: 0.842311]\n",
            "9516 [D loss: 0.694067, acc.: 62.50%] [G loss: 0.804572]\n",
            "9517 [D loss: 0.677673, acc.: 59.38%] [G loss: 0.780256]\n",
            "9518 [D loss: 0.692522, acc.: 53.12%] [G loss: 0.784850]\n",
            "9519 [D loss: 0.690264, acc.: 59.38%] [G loss: 0.774907]\n",
            "9520 [D loss: 0.655651, acc.: 56.25%] [G loss: 0.762496]\n",
            "9521 [D loss: 0.690958, acc.: 56.25%] [G loss: 0.742468]\n",
            "9522 [D loss: 0.707931, acc.: 50.00%] [G loss: 0.774450]\n",
            "9523 [D loss: 0.739142, acc.: 46.88%] [G loss: 0.772452]\n",
            "9524 [D loss: 0.703992, acc.: 59.38%] [G loss: 0.803208]\n",
            "9525 [D loss: 0.718121, acc.: 56.25%] [G loss: 0.828748]\n",
            "9526 [D loss: 0.651088, acc.: 71.88%] [G loss: 0.890572]\n",
            "9527 [D loss: 0.678682, acc.: 56.25%] [G loss: 0.947074]\n",
            "9528 [D loss: 0.650810, acc.: 59.38%] [G loss: 0.850438]\n",
            "9529 [D loss: 0.726582, acc.: 43.75%] [G loss: 0.817119]\n",
            "9530 [D loss: 0.662030, acc.: 53.12%] [G loss: 0.805361]\n",
            "9531 [D loss: 0.754136, acc.: 43.75%] [G loss: 0.819727]\n",
            "9532 [D loss: 0.683535, acc.: 62.50%] [G loss: 0.897311]\n",
            "9533 [D loss: 0.595119, acc.: 65.62%] [G loss: 0.816440]\n",
            "9534 [D loss: 0.641536, acc.: 59.38%] [G loss: 0.810194]\n",
            "9535 [D loss: 0.776966, acc.: 40.62%] [G loss: 0.812818]\n",
            "9536 [D loss: 0.695432, acc.: 46.88%] [G loss: 0.904125]\n",
            "9537 [D loss: 0.712840, acc.: 43.75%] [G loss: 0.821958]\n",
            "9538 [D loss: 0.702071, acc.: 56.25%] [G loss: 0.784906]\n",
            "9539 [D loss: 0.732767, acc.: 43.75%] [G loss: 0.883245]\n",
            "9540 [D loss: 0.667938, acc.: 59.38%] [G loss: 0.788820]\n",
            "9541 [D loss: 0.656285, acc.: 59.38%] [G loss: 0.761706]\n",
            "9542 [D loss: 0.673697, acc.: 59.38%] [G loss: 0.804425]\n",
            "9543 [D loss: 0.674123, acc.: 56.25%] [G loss: 0.820299]\n",
            "9544 [D loss: 0.719742, acc.: 40.62%] [G loss: 0.885105]\n",
            "9545 [D loss: 0.722502, acc.: 43.75%] [G loss: 0.820908]\n",
            "9546 [D loss: 0.774678, acc.: 40.62%] [G loss: 0.828588]\n",
            "9547 [D loss: 0.712681, acc.: 40.62%] [G loss: 0.857293]\n",
            "9548 [D loss: 0.667837, acc.: 59.38%] [G loss: 0.816163]\n",
            "9549 [D loss: 0.655351, acc.: 59.38%] [G loss: 0.796130]\n",
            "9550 [D loss: 0.669104, acc.: 59.38%] [G loss: 0.841520]\n",
            "9551 [D loss: 0.697734, acc.: 56.25%] [G loss: 0.789091]\n",
            "9552 [D loss: 0.714703, acc.: 43.75%] [G loss: 0.797838]\n",
            "9553 [D loss: 0.687434, acc.: 53.12%] [G loss: 0.816721]\n",
            "9554 [D loss: 0.645248, acc.: 62.50%] [G loss: 0.799783]\n",
            "9555 [D loss: 0.663076, acc.: 59.38%] [G loss: 0.809422]\n",
            "9556 [D loss: 0.637927, acc.: 68.75%] [G loss: 0.824374]\n",
            "9557 [D loss: 0.618153, acc.: 65.62%] [G loss: 0.835084]\n",
            "9558 [D loss: 0.689141, acc.: 56.25%] [G loss: 0.847843]\n",
            "9559 [D loss: 0.661747, acc.: 68.75%] [G loss: 0.821998]\n",
            "9560 [D loss: 0.671048, acc.: 59.38%] [G loss: 0.847722]\n",
            "9561 [D loss: 0.699942, acc.: 59.38%] [G loss: 0.785649]\n",
            "9562 [D loss: 0.638732, acc.: 59.38%] [G loss: 0.826690]\n",
            "9563 [D loss: 0.677083, acc.: 59.38%] [G loss: 0.867068]\n",
            "9564 [D loss: 0.684751, acc.: 65.62%] [G loss: 0.749825]\n",
            "9565 [D loss: 0.784637, acc.: 46.88%] [G loss: 0.788123]\n",
            "9566 [D loss: 0.684625, acc.: 65.62%] [G loss: 0.769777]\n",
            "9567 [D loss: 0.694333, acc.: 46.88%] [G loss: 0.846694]\n",
            "9568 [D loss: 0.693764, acc.: 46.88%] [G loss: 0.821326]\n",
            "9569 [D loss: 0.698412, acc.: 46.88%] [G loss: 0.726868]\n",
            "9570 [D loss: 0.649646, acc.: 53.12%] [G loss: 0.758978]\n",
            "9571 [D loss: 0.714006, acc.: 43.75%] [G loss: 0.827770]\n",
            "9572 [D loss: 0.602446, acc.: 65.62%] [G loss: 0.830747]\n",
            "9573 [D loss: 0.669749, acc.: 53.12%] [G loss: 0.803417]\n",
            "9574 [D loss: 0.789588, acc.: 40.62%] [G loss: 0.745156]\n",
            "9575 [D loss: 0.689557, acc.: 50.00%] [G loss: 0.714795]\n",
            "9576 [D loss: 0.669967, acc.: 53.12%] [G loss: 0.732108]\n",
            "9577 [D loss: 0.689190, acc.: 50.00%] [G loss: 0.787241]\n",
            "9578 [D loss: 0.675693, acc.: 56.25%] [G loss: 0.830091]\n",
            "9579 [D loss: 0.642982, acc.: 62.50%] [G loss: 0.821336]\n",
            "9580 [D loss: 0.677739, acc.: 71.88%] [G loss: 0.807808]\n",
            "9581 [D loss: 0.678386, acc.: 50.00%] [G loss: 0.825403]\n",
            "9582 [D loss: 0.710645, acc.: 53.12%] [G loss: 0.826545]\n",
            "9583 [D loss: 0.722152, acc.: 43.75%] [G loss: 0.817407]\n",
            "9584 [D loss: 0.631337, acc.: 59.38%] [G loss: 0.779785]\n",
            "9585 [D loss: 0.659325, acc.: 59.38%] [G loss: 0.854020]\n",
            "9586 [D loss: 0.679871, acc.: 59.38%] [G loss: 0.811554]\n",
            "9587 [D loss: 0.718720, acc.: 71.88%] [G loss: 0.786253]\n",
            "9588 [D loss: 0.703997, acc.: 46.88%] [G loss: 0.795623]\n",
            "9589 [D loss: 0.660336, acc.: 59.38%] [G loss: 0.763347]\n",
            "9590 [D loss: 0.649023, acc.: 62.50%] [G loss: 0.761491]\n",
            "9591 [D loss: 0.693024, acc.: 56.25%] [G loss: 0.720109]\n",
            "9592 [D loss: 0.693060, acc.: 53.12%] [G loss: 0.811690]\n",
            "9593 [D loss: 0.718298, acc.: 50.00%] [G loss: 0.774461]\n",
            "9594 [D loss: 0.690429, acc.: 50.00%] [G loss: 0.775108]\n",
            "9595 [D loss: 0.676751, acc.: 56.25%] [G loss: 0.802459]\n",
            "9596 [D loss: 0.693660, acc.: 50.00%] [G loss: 0.819026]\n",
            "9597 [D loss: 0.653694, acc.: 71.88%] [G loss: 0.852058]\n",
            "9598 [D loss: 0.626885, acc.: 78.12%] [G loss: 0.803432]\n",
            "9599 [D loss: 0.717544, acc.: 53.12%] [G loss: 0.791746]\n",
            "9600 [D loss: 0.685877, acc.: 53.12%] [G loss: 0.825121]\n",
            "9601 [D loss: 0.646933, acc.: 65.62%] [G loss: 0.851996]\n",
            "9602 [D loss: 0.647079, acc.: 71.88%] [G loss: 0.929746]\n",
            "9603 [D loss: 0.647685, acc.: 56.25%] [G loss: 0.830197]\n",
            "9604 [D loss: 0.692985, acc.: 56.25%] [G loss: 0.809262]\n",
            "9605 [D loss: 0.766786, acc.: 37.50%] [G loss: 0.817631]\n",
            "9606 [D loss: 0.678109, acc.: 65.62%] [G loss: 0.825647]\n",
            "9607 [D loss: 0.672662, acc.: 62.50%] [G loss: 0.715459]\n",
            "9608 [D loss: 0.743634, acc.: 43.75%] [G loss: 0.752874]\n",
            "9609 [D loss: 0.621226, acc.: 62.50%] [G loss: 0.853563]\n",
            "9610 [D loss: 0.691645, acc.: 53.12%] [G loss: 0.790669]\n",
            "9611 [D loss: 0.700023, acc.: 46.88%] [G loss: 0.838899]\n",
            "9612 [D loss: 0.751206, acc.: 40.62%] [G loss: 0.850035]\n",
            "9613 [D loss: 0.709417, acc.: 59.38%] [G loss: 0.867602]\n",
            "9614 [D loss: 0.696833, acc.: 56.25%] [G loss: 0.870907]\n",
            "9615 [D loss: 0.658448, acc.: 62.50%] [G loss: 0.883369]\n",
            "9616 [D loss: 0.676464, acc.: 53.12%] [G loss: 0.898710]\n",
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            "9618 [D loss: 0.700737, acc.: 46.88%] [G loss: 0.815763]\n",
            "9619 [D loss: 0.706692, acc.: 46.88%] [G loss: 0.808173]\n",
            "9620 [D loss: 0.646255, acc.: 59.38%] [G loss: 0.840630]\n",
            "9621 [D loss: 0.693305, acc.: 43.75%] [G loss: 0.809883]\n",
            "9622 [D loss: 0.658883, acc.: 65.62%] [G loss: 0.834892]\n",
            "9623 [D loss: 0.694115, acc.: 46.88%] [G loss: 0.839561]\n",
            "9624 [D loss: 0.676035, acc.: 46.88%] [G loss: 0.812348]\n",
            "9625 [D loss: 0.721311, acc.: 62.50%] [G loss: 0.803674]\n",
            "9626 [D loss: 0.677335, acc.: 50.00%] [G loss: 0.847086]\n",
            "9627 [D loss: 0.705004, acc.: 50.00%] [G loss: 0.775526]\n",
            "9628 [D loss: 0.658999, acc.: 71.88%] [G loss: 0.851302]\n",
            "9629 [D loss: 0.690356, acc.: 56.25%] [G loss: 0.831570]\n",
            "9630 [D loss: 0.648250, acc.: 59.38%] [G loss: 0.840750]\n",
            "9631 [D loss: 0.724757, acc.: 43.75%] [G loss: 0.827772]\n",
            "9632 [D loss: 0.706377, acc.: 56.25%] [G loss: 0.749134]\n",
            "9633 [D loss: 0.715030, acc.: 53.12%] [G loss: 0.759191]\n",
            "9634 [D loss: 0.640853, acc.: 65.62%] [G loss: 0.842073]\n",
            "9635 [D loss: 0.646158, acc.: 65.62%] [G loss: 0.823837]\n",
            "9636 [D loss: 0.745238, acc.: 43.75%] [G loss: 0.831616]\n",
            "9637 [D loss: 0.682474, acc.: 56.25%] [G loss: 0.831109]\n",
            "9638 [D loss: 0.632334, acc.: 62.50%] [G loss: 0.806340]\n",
            "9639 [D loss: 0.622645, acc.: 68.75%] [G loss: 0.864424]\n",
            "9640 [D loss: 0.648771, acc.: 62.50%] [G loss: 0.811349]\n",
            "9641 [D loss: 0.735312, acc.: 50.00%] [G loss: 0.816954]\n",
            "9642 [D loss: 0.730272, acc.: 46.88%] [G loss: 0.881598]\n",
            "9643 [D loss: 0.687420, acc.: 53.12%] [G loss: 0.855618]\n",
            "9644 [D loss: 0.715068, acc.: 50.00%] [G loss: 0.769912]\n",
            "9645 [D loss: 0.744977, acc.: 40.62%] [G loss: 0.721967]\n",
            "9646 [D loss: 0.743721, acc.: 43.75%] [G loss: 0.774513]\n",
            "9647 [D loss: 0.673229, acc.: 59.38%] [G loss: 0.816965]\n",
            "9648 [D loss: 0.750185, acc.: 37.50%] [G loss: 0.802934]\n",
            "9649 [D loss: 0.716203, acc.: 53.12%] [G loss: 0.841249]\n",
            "9650 [D loss: 0.711878, acc.: 40.62%] [G loss: 0.870909]\n",
            "9651 [D loss: 0.684767, acc.: 50.00%] [G loss: 0.887561]\n",
            "9652 [D loss: 0.691693, acc.: 59.38%] [G loss: 0.824444]\n",
            "9653 [D loss: 0.644580, acc.: 62.50%] [G loss: 0.846180]\n",
            "9654 [D loss: 0.673537, acc.: 62.50%] [G loss: 0.833140]\n",
            "9655 [D loss: 0.676467, acc.: 56.25%] [G loss: 0.753897]\n",
            "9656 [D loss: 0.681950, acc.: 62.50%] [G loss: 0.764701]\n",
            "9657 [D loss: 0.638521, acc.: 71.88%] [G loss: 0.722056]\n",
            "9658 [D loss: 0.669557, acc.: 56.25%] [G loss: 0.750358]\n",
            "9659 [D loss: 0.677370, acc.: 62.50%] [G loss: 0.813679]\n",
            "9660 [D loss: 0.718933, acc.: 53.12%] [G loss: 0.844491]\n",
            "9661 [D loss: 0.596824, acc.: 65.62%] [G loss: 0.825974]\n",
            "9662 [D loss: 0.666878, acc.: 53.12%] [G loss: 0.882897]\n",
            "9663 [D loss: 0.699682, acc.: 56.25%] [G loss: 0.859103]\n",
            "9664 [D loss: 0.664957, acc.: 65.62%] [G loss: 0.944360]\n",
            "9665 [D loss: 0.673107, acc.: 50.00%] [G loss: 0.828970]\n",
            "9666 [D loss: 0.676344, acc.: 43.75%] [G loss: 0.791671]\n",
            "9667 [D loss: 0.661890, acc.: 59.38%] [G loss: 0.822488]\n",
            "9668 [D loss: 0.718732, acc.: 53.12%] [G loss: 0.823635]\n",
            "9669 [D loss: 0.672141, acc.: 56.25%] [G loss: 0.871816]\n",
            "9670 [D loss: 0.632123, acc.: 62.50%] [G loss: 0.791732]\n",
            "9671 [D loss: 0.714349, acc.: 50.00%] [G loss: 0.820084]\n",
            "9672 [D loss: 0.653668, acc.: 75.00%] [G loss: 0.736553]\n",
            "9673 [D loss: 0.654035, acc.: 62.50%] [G loss: 0.842298]\n",
            "9674 [D loss: 0.710406, acc.: 50.00%] [G loss: 0.709953]\n",
            "9675 [D loss: 0.774999, acc.: 46.88%] [G loss: 0.784552]\n",
            "9676 [D loss: 0.662658, acc.: 46.88%] [G loss: 0.777766]\n",
            "9677 [D loss: 0.666313, acc.: 56.25%] [G loss: 0.794547]\n",
            "9678 [D loss: 0.694984, acc.: 59.38%] [G loss: 0.785380]\n",
            "9679 [D loss: 0.646998, acc.: 65.62%] [G loss: 0.818177]\n",
            "9680 [D loss: 0.685369, acc.: 50.00%] [G loss: 0.828188]\n",
            "9681 [D loss: 0.663123, acc.: 59.38%] [G loss: 0.779648]\n",
            "9682 [D loss: 0.787611, acc.: 40.62%] [G loss: 0.788178]\n",
            "9683 [D loss: 0.643743, acc.: 59.38%] [G loss: 0.823763]\n",
            "9684 [D loss: 0.715373, acc.: 65.62%] [G loss: 0.811208]\n",
            "9685 [D loss: 0.643980, acc.: 59.38%] [G loss: 0.849287]\n",
            "9686 [D loss: 0.699668, acc.: 59.38%] [G loss: 0.796703]\n",
            "9687 [D loss: 0.608604, acc.: 68.75%] [G loss: 0.871123]\n",
            "9688 [D loss: 0.704373, acc.: 59.38%] [G loss: 0.867332]\n",
            "9689 [D loss: 0.628165, acc.: 71.88%] [G loss: 0.848165]\n",
            "9690 [D loss: 0.727549, acc.: 43.75%] [G loss: 0.890287]\n",
            "9691 [D loss: 0.658210, acc.: 68.75%] [G loss: 0.846973]\n",
            "9692 [D loss: 0.661706, acc.: 53.12%] [G loss: 0.841028]\n",
            "9693 [D loss: 0.705215, acc.: 53.12%] [G loss: 0.810441]\n",
            "9694 [D loss: 0.712413, acc.: 46.88%] [G loss: 0.799366]\n",
            "9695 [D loss: 0.737211, acc.: 43.75%] [G loss: 0.831121]\n",
            "9696 [D loss: 0.680012, acc.: 53.12%] [G loss: 0.822345]\n",
            "9697 [D loss: 0.675872, acc.: 56.25%] [G loss: 0.784677]\n",
            "9698 [D loss: 0.688808, acc.: 40.62%] [G loss: 0.776246]\n",
            "9699 [D loss: 0.635422, acc.: 65.62%] [G loss: 0.780667]\n",
            "9700 [D loss: 0.746935, acc.: 40.62%] [G loss: 0.811136]\n",
            "9701 [D loss: 0.722768, acc.: 46.88%] [G loss: 0.829798]\n",
            "9702 [D loss: 0.654117, acc.: 65.62%] [G loss: 0.795953]\n",
            "9703 [D loss: 0.620486, acc.: 75.00%] [G loss: 0.825638]\n",
            "9704 [D loss: 0.621478, acc.: 65.62%] [G loss: 0.899761]\n",
            "9705 [D loss: 0.676453, acc.: 59.38%] [G loss: 0.888560]\n",
            "9706 [D loss: 0.704416, acc.: 68.75%] [G loss: 0.896894]\n",
            "9707 [D loss: 0.690978, acc.: 56.25%] [G loss: 0.879616]\n",
            "9708 [D loss: 0.692648, acc.: 56.25%] [G loss: 0.827473]\n",
            "9709 [D loss: 0.677488, acc.: 62.50%] [G loss: 0.838533]\n",
            "9710 [D loss: 0.675950, acc.: 62.50%] [G loss: 0.799329]\n",
            "9711 [D loss: 0.718545, acc.: 56.25%] [G loss: 0.843883]\n",
            "9712 [D loss: 0.741332, acc.: 50.00%] [G loss: 0.815852]\n",
            "9713 [D loss: 0.667459, acc.: 59.38%] [G loss: 0.813838]\n",
            "9714 [D loss: 0.709172, acc.: 43.75%] [G loss: 0.819067]\n",
            "9715 [D loss: 0.750948, acc.: 56.25%] [G loss: 0.835032]\n",
            "9716 [D loss: 0.683146, acc.: 50.00%] [G loss: 0.787737]\n",
            "9717 [D loss: 0.717219, acc.: 46.88%] [G loss: 0.800565]\n",
            "9718 [D loss: 0.621284, acc.: 68.75%] [G loss: 0.823614]\n",
            "9719 [D loss: 0.623917, acc.: 65.62%] [G loss: 0.827167]\n",
            "9720 [D loss: 0.635335, acc.: 65.62%] [G loss: 0.792513]\n",
            "9721 [D loss: 0.686009, acc.: 62.50%] [G loss: 0.817443]\n",
            "9722 [D loss: 0.670244, acc.: 56.25%] [G loss: 0.805722]\n",
            "9723 [D loss: 0.620592, acc.: 68.75%] [G loss: 0.847476]\n",
            "9724 [D loss: 0.704857, acc.: 50.00%] [G loss: 0.817033]\n",
            "9725 [D loss: 0.629752, acc.: 68.75%] [G loss: 0.842065]\n",
            "9726 [D loss: 0.721094, acc.: 43.75%] [G loss: 0.763371]\n",
            "9727 [D loss: 0.706655, acc.: 46.88%] [G loss: 0.859115]\n",
            "9728 [D loss: 0.659147, acc.: 62.50%] [G loss: 0.825034]\n",
            "9729 [D loss: 0.645453, acc.: 78.12%] [G loss: 0.830413]\n",
            "9730 [D loss: 0.651199, acc.: 68.75%] [G loss: 0.780180]\n",
            "9731 [D loss: 0.633460, acc.: 75.00%] [G loss: 0.740213]\n",
            "9732 [D loss: 0.668796, acc.: 56.25%] [G loss: 0.727753]\n",
            "9733 [D loss: 0.737662, acc.: 43.75%] [G loss: 0.741435]\n",
            "9734 [D loss: 0.712896, acc.: 50.00%] [G loss: 0.786892]\n",
            "9735 [D loss: 0.616810, acc.: 65.62%] [G loss: 0.719079]\n",
            "9736 [D loss: 0.717422, acc.: 53.12%] [G loss: 0.783114]\n",
            "9737 [D loss: 0.656262, acc.: 59.38%] [G loss: 0.788299]\n",
            "9738 [D loss: 0.708152, acc.: 59.38%] [G loss: 0.787203]\n",
            "9739 [D loss: 0.748291, acc.: 43.75%] [G loss: 0.843173]\n",
            "9740 [D loss: 0.701792, acc.: 53.12%] [G loss: 0.853527]\n",
            "9741 [D loss: 0.640758, acc.: 62.50%] [G loss: 0.774956]\n",
            "9742 [D loss: 0.673374, acc.: 65.62%] [G loss: 0.819482]\n",
            "9743 [D loss: 0.711141, acc.: 50.00%] [G loss: 0.798801]\n",
            "9744 [D loss: 0.731507, acc.: 43.75%] [G loss: 0.848929]\n",
            "9745 [D loss: 0.636526, acc.: 65.62%] [G loss: 0.844867]\n",
            "9746 [D loss: 0.630691, acc.: 62.50%] [G loss: 0.814427]\n",
            "9747 [D loss: 0.691905, acc.: 53.12%] [G loss: 0.827455]\n",
            "9748 [D loss: 0.692908, acc.: 62.50%] [G loss: 0.827412]\n",
            "9749 [D loss: 0.644598, acc.: 62.50%] [G loss: 0.829050]\n",
            "9750 [D loss: 0.693769, acc.: 59.38%] [G loss: 0.802710]\n",
            "9751 [D loss: 0.646078, acc.: 53.12%] [G loss: 0.841813]\n",
            "9752 [D loss: 0.642173, acc.: 71.88%] [G loss: 0.815843]\n",
            "9753 [D loss: 0.704294, acc.: 50.00%] [G loss: 0.840553]\n",
            "9754 [D loss: 0.722770, acc.: 50.00%] [G loss: 0.775484]\n",
            "9755 [D loss: 0.632942, acc.: 71.88%] [G loss: 0.889026]\n",
            "9756 [D loss: 0.712099, acc.: 43.75%] [G loss: 0.847528]\n",
            "9757 [D loss: 0.639472, acc.: 59.38%] [G loss: 0.831949]\n",
            "9758 [D loss: 0.679765, acc.: 56.25%] [G loss: 0.770995]\n",
            "9759 [D loss: 0.712686, acc.: 46.88%] [G loss: 0.773307]\n",
            "9760 [D loss: 0.651150, acc.: 62.50%] [G loss: 0.819086]\n",
            "9761 [D loss: 0.649082, acc.: 62.50%] [G loss: 0.809333]\n",
            "9762 [D loss: 0.732493, acc.: 40.62%] [G loss: 0.775283]\n",
            "9763 [D loss: 0.681686, acc.: 59.38%] [G loss: 0.806012]\n",
            "9764 [D loss: 0.715025, acc.: 50.00%] [G loss: 0.808079]\n",
            "9765 [D loss: 0.727762, acc.: 46.88%] [G loss: 0.833881]\n",
            "9766 [D loss: 0.690946, acc.: 59.38%] [G loss: 0.848535]\n",
            "9767 [D loss: 0.707579, acc.: 53.12%] [G loss: 0.809580]\n",
            "9768 [D loss: 0.623088, acc.: 71.88%] [G loss: 0.829029]\n",
            "9769 [D loss: 0.667734, acc.: 53.12%] [G loss: 0.854984]\n",
            "9770 [D loss: 0.658212, acc.: 65.62%] [G loss: 0.848349]\n",
            "9771 [D loss: 0.635204, acc.: 65.62%] [G loss: 0.889857]\n",
            "9772 [D loss: 0.674360, acc.: 53.12%] [G loss: 0.910599]\n",
            "9773 [D loss: 0.622701, acc.: 68.75%] [G loss: 0.875733]\n",
            "9774 [D loss: 0.778855, acc.: 46.88%] [G loss: 0.849590]\n",
            "9775 [D loss: 0.658381, acc.: 65.62%] [G loss: 0.888371]\n",
            "9776 [D loss: 0.610153, acc.: 71.88%] [G loss: 0.753996]\n",
            "9777 [D loss: 0.653746, acc.: 65.62%] [G loss: 0.828726]\n",
            "9778 [D loss: 0.646664, acc.: 59.38%] [G loss: 0.808948]\n",
            "9779 [D loss: 0.616981, acc.: 75.00%] [G loss: 0.794908]\n",
            "9780 [D loss: 0.693194, acc.: 53.12%] [G loss: 0.844062]\n",
            "9781 [D loss: 0.644861, acc.: 62.50%] [G loss: 0.891768]\n",
            "9782 [D loss: 0.636372, acc.: 65.62%] [G loss: 0.887671]\n",
            "9783 [D loss: 0.767840, acc.: 50.00%] [G loss: 0.844617]\n",
            "9784 [D loss: 0.703080, acc.: 43.75%] [G loss: 0.905458]\n",
            "9785 [D loss: 0.632905, acc.: 75.00%] [G loss: 0.900148]\n",
            "9786 [D loss: 0.714608, acc.: 40.62%] [G loss: 0.938903]\n",
            "9787 [D loss: 0.653672, acc.: 62.50%] [G loss: 0.826903]\n",
            "9788 [D loss: 0.674177, acc.: 53.12%] [G loss: 0.801080]\n",
            "9789 [D loss: 0.682267, acc.: 56.25%] [G loss: 0.842927]\n",
            "9790 [D loss: 0.672997, acc.: 53.12%] [G loss: 0.795431]\n",
            "9791 [D loss: 0.738581, acc.: 34.38%] [G loss: 0.791006]\n",
            "9792 [D loss: 0.696672, acc.: 59.38%] [G loss: 0.773117]\n",
            "9793 [D loss: 0.737553, acc.: 37.50%] [G loss: 0.823521]\n",
            "9794 [D loss: 0.708767, acc.: 50.00%] [G loss: 0.846078]\n",
            "9795 [D loss: 0.677228, acc.: 59.38%] [G loss: 0.809914]\n",
            "9796 [D loss: 0.660183, acc.: 56.25%] [G loss: 0.845692]\n",
            "9797 [D loss: 0.692160, acc.: 50.00%] [G loss: 0.864498]\n",
            "9798 [D loss: 0.722075, acc.: 46.88%] [G loss: 0.834622]\n",
            "9799 [D loss: 0.693270, acc.: 56.25%] [G loss: 0.856904]\n",
            "9800 [D loss: 0.686030, acc.: 59.38%] [G loss: 0.785613]\n",
            "9801 [D loss: 0.672115, acc.: 59.38%] [G loss: 0.811254]\n",
            "9802 [D loss: 0.709381, acc.: 50.00%] [G loss: 0.844859]\n",
            "9803 [D loss: 0.638126, acc.: 75.00%] [G loss: 0.765086]\n",
            "9804 [D loss: 0.673785, acc.: 59.38%] [G loss: 0.766921]\n",
            "9805 [D loss: 0.719970, acc.: 53.12%] [G loss: 0.804896]\n",
            "9806 [D loss: 0.649313, acc.: 56.25%] [G loss: 0.780226]\n",
            "9807 [D loss: 0.713429, acc.: 56.25%] [G loss: 0.784453]\n",
            "9808 [D loss: 0.692846, acc.: 53.12%] [G loss: 0.775682]\n",
            "9809 [D loss: 0.708142, acc.: 53.12%] [G loss: 0.762875]\n",
            "9810 [D loss: 0.694948, acc.: 59.38%] [G loss: 0.782937]\n",
            "9811 [D loss: 0.702961, acc.: 46.88%] [G loss: 0.761133]\n",
            "9812 [D loss: 0.624436, acc.: 71.88%] [G loss: 0.797882]\n",
            "9813 [D loss: 0.678203, acc.: 65.62%] [G loss: 0.818831]\n",
            "9814 [D loss: 0.638375, acc.: 71.88%] [G loss: 0.817555]\n",
            "9815 [D loss: 0.685766, acc.: 53.12%] [G loss: 0.846367]\n",
            "9816 [D loss: 0.664535, acc.: 56.25%] [G loss: 0.807572]\n",
            "9817 [D loss: 0.697258, acc.: 50.00%] [G loss: 0.744705]\n",
            "9818 [D loss: 0.760671, acc.: 31.25%] [G loss: 0.847341]\n",
            "9819 [D loss: 0.658126, acc.: 71.88%] [G loss: 0.825082]\n",
            "9820 [D loss: 0.667587, acc.: 78.12%] [G loss: 0.795886]\n",
            "9821 [D loss: 0.678027, acc.: 59.38%] [G loss: 0.801144]\n",
            "9822 [D loss: 0.664315, acc.: 56.25%] [G loss: 0.798783]\n",
            "9823 [D loss: 0.618265, acc.: 78.12%] [G loss: 0.817756]\n",
            "9824 [D loss: 0.661835, acc.: 65.62%] [G loss: 0.909724]\n",
            "9825 [D loss: 0.718619, acc.: 43.75%] [G loss: 0.774402]\n",
            "9826 [D loss: 0.668611, acc.: 53.12%] [G loss: 0.829307]\n",
            "9827 [D loss: 0.623032, acc.: 65.62%] [G loss: 0.776292]\n",
            "9828 [D loss: 0.619596, acc.: 62.50%] [G loss: 0.826158]\n",
            "9829 [D loss: 0.764292, acc.: 40.62%] [G loss: 0.736273]\n",
            "9830 [D loss: 0.770985, acc.: 43.75%] [G loss: 0.777713]\n",
            "9831 [D loss: 0.653187, acc.: 50.00%] [G loss: 0.857079]\n",
            "9832 [D loss: 0.692124, acc.: 59.38%] [G loss: 0.775474]\n",
            "9833 [D loss: 0.733395, acc.: 40.62%] [G loss: 0.808377]\n",
            "9834 [D loss: 0.644006, acc.: 65.62%] [G loss: 0.818156]\n",
            "9835 [D loss: 0.708000, acc.: 50.00%] [G loss: 0.790874]\n",
            "9836 [D loss: 0.596146, acc.: 68.75%] [G loss: 0.782895]\n",
            "9837 [D loss: 0.697570, acc.: 46.88%] [G loss: 0.774678]\n",
            "9838 [D loss: 0.633513, acc.: 68.75%] [G loss: 0.829302]\n",
            "9839 [D loss: 0.701520, acc.: 43.75%] [G loss: 0.832756]\n",
            "9840 [D loss: 0.741537, acc.: 46.88%] [G loss: 0.815265]\n",
            "9841 [D loss: 0.592173, acc.: 75.00%] [G loss: 0.803950]\n",
            "9842 [D loss: 0.626392, acc.: 68.75%] [G loss: 0.772001]\n",
            "9843 [D loss: 0.691977, acc.: 53.12%] [G loss: 0.787845]\n",
            "9844 [D loss: 0.725766, acc.: 53.12%] [G loss: 0.770414]\n",
            "9845 [D loss: 0.682908, acc.: 56.25%] [G loss: 0.786340]\n",
            "9846 [D loss: 0.648538, acc.: 65.62%] [G loss: 0.764204]\n",
            "9847 [D loss: 0.734890, acc.: 53.12%] [G loss: 0.875991]\n",
            "9848 [D loss: 0.638777, acc.: 53.12%] [G loss: 0.759066]\n",
            "9849 [D loss: 0.679093, acc.: 62.50%] [G loss: 0.801492]\n",
            "9850 [D loss: 0.663195, acc.: 65.62%] [G loss: 0.795810]\n",
            "9851 [D loss: 0.677494, acc.: 50.00%] [G loss: 0.881946]\n",
            "9852 [D loss: 0.668932, acc.: 53.12%] [G loss: 0.812740]\n",
            "9853 [D loss: 0.720669, acc.: 46.88%] [G loss: 0.810294]\n",
            "9854 [D loss: 0.633072, acc.: 62.50%] [G loss: 0.810412]\n",
            "9855 [D loss: 0.615730, acc.: 68.75%] [G loss: 0.828455]\n",
            "9856 [D loss: 0.698021, acc.: 56.25%] [G loss: 0.778135]\n",
            "9857 [D loss: 0.692692, acc.: 43.75%] [G loss: 0.745140]\n",
            "9858 [D loss: 0.683436, acc.: 68.75%] [G loss: 0.827306]\n",
            "9859 [D loss: 0.646929, acc.: 59.38%] [G loss: 0.819309]\n",
            "9860 [D loss: 0.643836, acc.: 65.62%] [G loss: 0.805806]\n",
            "9861 [D loss: 0.751915, acc.: 37.50%] [G loss: 0.887670]\n",
            "9862 [D loss: 0.697458, acc.: 59.38%] [G loss: 0.833701]\n",
            "9863 [D loss: 0.683378, acc.: 62.50%] [G loss: 0.838623]\n",
            "9864 [D loss: 0.678362, acc.: 59.38%] [G loss: 0.801258]\n",
            "9865 [D loss: 0.674454, acc.: 62.50%] [G loss: 0.790748]\n",
            "9866 [D loss: 0.687187, acc.: 59.38%] [G loss: 0.817082]\n",
            "9867 [D loss: 0.690095, acc.: 56.25%] [G loss: 0.779257]\n",
            "9868 [D loss: 0.629172, acc.: 71.88%] [G loss: 0.759109]\n",
            "9869 [D loss: 0.714528, acc.: 46.88%] [G loss: 0.799493]\n",
            "9870 [D loss: 0.625739, acc.: 65.62%] [G loss: 0.828256]\n",
            "9871 [D loss: 0.673875, acc.: 59.38%] [G loss: 0.792351]\n",
            "9872 [D loss: 0.687604, acc.: 50.00%] [G loss: 0.845927]\n",
            "9873 [D loss: 0.670146, acc.: 56.25%] [G loss: 0.782062]\n",
            "9874 [D loss: 0.688716, acc.: 53.12%] [G loss: 0.858243]\n",
            "9875 [D loss: 0.694809, acc.: 59.38%] [G loss: 0.814061]\n",
            "9876 [D loss: 0.638033, acc.: 68.75%] [G loss: 0.809987]\n",
            "9877 [D loss: 0.671853, acc.: 62.50%] [G loss: 0.795882]\n",
            "9878 [D loss: 0.759507, acc.: 40.62%] [G loss: 0.780490]\n",
            "9879 [D loss: 0.611223, acc.: 71.88%] [G loss: 0.809096]\n",
            "9880 [D loss: 0.629760, acc.: 71.88%] [G loss: 0.800168]\n",
            "9881 [D loss: 0.774981, acc.: 28.12%] [G loss: 0.771821]\n",
            "9882 [D loss: 0.776623, acc.: 25.00%] [G loss: 0.786320]\n",
            "9883 [D loss: 0.662722, acc.: 50.00%] [G loss: 0.805992]\n",
            "9884 [D loss: 0.656128, acc.: 71.88%] [G loss: 0.872577]\n",
            "9885 [D loss: 0.610455, acc.: 71.88%] [G loss: 0.814097]\n",
            "9886 [D loss: 0.671214, acc.: 53.12%] [G loss: 0.878025]\n",
            "9887 [D loss: 0.715479, acc.: 59.38%] [G loss: 0.894222]\n",
            "9888 [D loss: 0.677123, acc.: 53.12%] [G loss: 0.868651]\n",
            "9889 [D loss: 0.624500, acc.: 68.75%] [G loss: 0.827854]\n",
            "9890 [D loss: 0.661378, acc.: 53.12%] [G loss: 0.800330]\n",
            "9891 [D loss: 0.711215, acc.: 46.88%] [G loss: 0.794728]\n",
            "9892 [D loss: 0.720618, acc.: 56.25%] [G loss: 0.813814]\n",
            "9893 [D loss: 0.651852, acc.: 62.50%] [G loss: 0.859869]\n",
            "9894 [D loss: 0.635664, acc.: 75.00%] [G loss: 0.782507]\n",
            "9895 [D loss: 0.771896, acc.: 28.12%] [G loss: 0.802378]\n",
            "9896 [D loss: 0.661390, acc.: 65.62%] [G loss: 0.818594]\n",
            "9897 [D loss: 0.700413, acc.: 59.38%] [G loss: 0.842232]\n",
            "9898 [D loss: 0.671774, acc.: 50.00%] [G loss: 0.849040]\n",
            "9899 [D loss: 0.587519, acc.: 81.25%] [G loss: 0.775491]\n",
            "9900 [D loss: 0.671915, acc.: 53.12%] [G loss: 0.781733]\n",
            "9901 [D loss: 0.822111, acc.: 31.25%] [G loss: 0.790235]\n",
            "9902 [D loss: 0.629246, acc.: 56.25%] [G loss: 0.734965]\n",
            "9903 [D loss: 0.705370, acc.: 37.50%] [G loss: 0.800631]\n",
            "9904 [D loss: 0.645248, acc.: 53.12%] [G loss: 0.771950]\n",
            "9905 [D loss: 0.644476, acc.: 56.25%] [G loss: 0.773110]\n",
            "9906 [D loss: 0.630920, acc.: 75.00%] [G loss: 0.788697]\n",
            "9907 [D loss: 0.717900, acc.: 37.50%] [G loss: 0.771792]\n",
            "9908 [D loss: 0.696215, acc.: 62.50%] [G loss: 0.791406]\n",
            "9909 [D loss: 0.630050, acc.: 68.75%] [G loss: 0.761069]\n",
            "9910 [D loss: 0.742940, acc.: 37.50%] [G loss: 0.715272]\n",
            "9911 [D loss: 0.698995, acc.: 53.12%] [G loss: 0.761330]\n",
            "9912 [D loss: 0.619776, acc.: 71.88%] [G loss: 0.776557]\n",
            "9913 [D loss: 0.706432, acc.: 53.12%] [G loss: 0.744015]\n",
            "9914 [D loss: 0.701447, acc.: 62.50%] [G loss: 0.783372]\n",
            "9915 [D loss: 0.687149, acc.: 53.12%] [G loss: 0.798426]\n",
            "9916 [D loss: 0.702933, acc.: 59.38%] [G loss: 0.825984]\n",
            "9917 [D loss: 0.664575, acc.: 71.88%] [G loss: 0.880639]\n",
            "9918 [D loss: 0.775958, acc.: 43.75%] [G loss: 0.776031]\n",
            "9919 [D loss: 0.734176, acc.: 46.88%] [G loss: 0.760495]\n",
            "9920 [D loss: 0.707254, acc.: 46.88%] [G loss: 0.785699]\n",
            "9921 [D loss: 0.749461, acc.: 40.62%] [G loss: 0.782746]\n",
            "9922 [D loss: 0.694476, acc.: 50.00%] [G loss: 0.849024]\n",
            "9923 [D loss: 0.747661, acc.: 37.50%] [G loss: 0.786433]\n",
            "9924 [D loss: 0.640731, acc.: 59.38%] [G loss: 0.838166]\n",
            "9925 [D loss: 0.662518, acc.: 71.88%] [G loss: 0.777302]\n",
            "9926 [D loss: 0.711290, acc.: 50.00%] [G loss: 0.811654]\n",
            "9927 [D loss: 0.647986, acc.: 65.62%] [G loss: 0.828721]\n",
            "9928 [D loss: 0.648644, acc.: 59.38%] [G loss: 0.841283]\n",
            "9929 [D loss: 0.747111, acc.: 37.50%] [G loss: 0.878665]\n",
            "9930 [D loss: 0.665149, acc.: 62.50%] [G loss: 0.802174]\n",
            "9931 [D loss: 0.686357, acc.: 56.25%] [G loss: 0.814411]\n",
            "9932 [D loss: 0.696501, acc.: 46.88%] [G loss: 0.853686]\n",
            "9933 [D loss: 0.662971, acc.: 65.62%] [G loss: 0.837119]\n",
            "9934 [D loss: 0.679732, acc.: 59.38%] [G loss: 0.865635]\n",
            "9935 [D loss: 0.715090, acc.: 56.25%] [G loss: 0.775657]\n",
            "9936 [D loss: 0.631088, acc.: 59.38%] [G loss: 0.824568]\n",
            "9937 [D loss: 0.640834, acc.: 65.62%] [G loss: 0.820935]\n",
            "9938 [D loss: 0.656160, acc.: 50.00%] [G loss: 0.802809]\n",
            "9939 [D loss: 0.697030, acc.: 56.25%] [G loss: 0.759763]\n",
            "9940 [D loss: 0.692753, acc.: 59.38%] [G loss: 0.760698]\n",
            "9941 [D loss: 0.662222, acc.: 53.12%] [G loss: 0.798906]\n",
            "9942 [D loss: 0.713317, acc.: 40.62%] [G loss: 0.789966]\n",
            "9943 [D loss: 0.624527, acc.: 65.62%] [G loss: 0.826598]\n",
            "9944 [D loss: 0.687542, acc.: 56.25%] [G loss: 0.770341]\n",
            "9945 [D loss: 0.718397, acc.: 46.88%] [G loss: 0.778158]\n",
            "9946 [D loss: 0.698118, acc.: 59.38%] [G loss: 0.805962]\n",
            "9947 [D loss: 0.722139, acc.: 53.12%] [G loss: 0.759638]\n",
            "9948 [D loss: 0.671123, acc.: 62.50%] [G loss: 0.776445]\n",
            "9949 [D loss: 0.657631, acc.: 62.50%] [G loss: 0.749966]\n",
            "9950 [D loss: 0.658492, acc.: 62.50%] [G loss: 0.837658]\n",
            "9951 [D loss: 0.650873, acc.: 65.62%] [G loss: 0.766814]\n",
            "9952 [D loss: 0.644033, acc.: 56.25%] [G loss: 0.749563]\n",
            "9953 [D loss: 0.710094, acc.: 46.88%] [G loss: 0.773216]\n",
            "9954 [D loss: 0.749779, acc.: 37.50%] [G loss: 0.812638]\n",
            "9955 [D loss: 0.692979, acc.: 53.12%] [G loss: 0.861132]\n",
            "9956 [D loss: 0.661138, acc.: 56.25%] [G loss: 0.805394]\n",
            "9957 [D loss: 0.692149, acc.: 53.12%] [G loss: 0.858233]\n",
            "9958 [D loss: 0.663267, acc.: 59.38%] [G loss: 0.802040]\n",
            "9959 [D loss: 0.636079, acc.: 62.50%] [G loss: 0.844127]\n",
            "9960 [D loss: 0.661878, acc.: 65.62%] [G loss: 0.860856]\n",
            "9961 [D loss: 0.759499, acc.: 31.25%] [G loss: 0.833756]\n",
            "9962 [D loss: 0.765909, acc.: 46.88%] [G loss: 0.876349]\n",
            "9963 [D loss: 0.713640, acc.: 62.50%] [G loss: 0.762943]\n",
            "9964 [D loss: 0.668748, acc.: 59.38%] [G loss: 0.801571]\n",
            "9965 [D loss: 0.765291, acc.: 34.38%] [G loss: 0.740181]\n",
            "9966 [D loss: 0.731496, acc.: 53.12%] [G loss: 0.764199]\n",
            "9967 [D loss: 0.632198, acc.: 71.88%] [G loss: 0.771522]\n",
            "9968 [D loss: 0.679688, acc.: 62.50%] [G loss: 0.732159]\n",
            "9969 [D loss: 0.694688, acc.: 53.12%] [G loss: 0.816627]\n",
            "9970 [D loss: 0.714591, acc.: 46.88%] [G loss: 0.823234]\n",
            "9971 [D loss: 0.687976, acc.: 50.00%] [G loss: 0.845187]\n",
            "9972 [D loss: 0.682122, acc.: 53.12%] [G loss: 0.887818]\n",
            "9973 [D loss: 0.620830, acc.: 62.50%] [G loss: 0.891802]\n",
            "9974 [D loss: 0.697894, acc.: 53.12%] [G loss: 0.850429]\n",
            "9975 [D loss: 0.703014, acc.: 59.38%] [G loss: 0.894191]\n",
            "9976 [D loss: 0.686890, acc.: 62.50%] [G loss: 0.847723]\n",
            "9977 [D loss: 0.622631, acc.: 62.50%] [G loss: 0.857120]\n",
            "9978 [D loss: 0.669424, acc.: 62.50%] [G loss: 0.840926]\n",
            "9979 [D loss: 0.643293, acc.: 65.62%] [G loss: 0.836517]\n",
            "9980 [D loss: 0.673955, acc.: 50.00%] [G loss: 0.821230]\n",
            "9981 [D loss: 0.643204, acc.: 68.75%] [G loss: 0.771770]\n",
            "9982 [D loss: 0.610490, acc.: 71.88%] [G loss: 0.833117]\n",
            "9983 [D loss: 0.683250, acc.: 56.25%] [G loss: 0.823246]\n",
            "9984 [D loss: 0.697682, acc.: 46.88%] [G loss: 0.903724]\n",
            "9985 [D loss: 0.686188, acc.: 53.12%] [G loss: 0.795880]\n",
            "9986 [D loss: 0.727142, acc.: 43.75%] [G loss: 0.820869]\n",
            "9987 [D loss: 0.681465, acc.: 56.25%] [G loss: 0.802665]\n",
            "9988 [D loss: 0.642415, acc.: 68.75%] [G loss: 0.919407]\n",
            "9989 [D loss: 0.675901, acc.: 53.12%] [G loss: 0.860659]\n",
            "9990 [D loss: 0.689360, acc.: 59.38%] [G loss: 0.878877]\n",
            "9991 [D loss: 0.747562, acc.: 53.12%] [G loss: 0.785065]\n",
            "9992 [D loss: 0.712736, acc.: 59.38%] [G loss: 0.796019]\n",
            "9993 [D loss: 0.653696, acc.: 62.50%] [G loss: 0.792528]\n",
            "9994 [D loss: 0.662669, acc.: 62.50%] [G loss: 0.809862]\n",
            "9995 [D loss: 0.743016, acc.: 53.12%] [G loss: 0.794879]\n",
            "9996 [D loss: 0.704581, acc.: 62.50%] [G loss: 0.800210]\n",
            "9997 [D loss: 0.711083, acc.: 50.00%] [G loss: 0.779515]\n",
            "9998 [D loss: 0.674344, acc.: 62.50%] [G loss: 0.795327]\n",
            "9999 [D loss: 0.706277, acc.: 50.00%] [G loss: 0.861296]\n",
            "10000 [D loss: 0.659031, acc.: 62.50%] [G loss: 0.810727]\n",
            "10001 [D loss: 0.613094, acc.: 65.62%] [G loss: 0.837214]\n",
            "10002 [D loss: 0.678116, acc.: 53.12%] [G loss: 0.849127]\n",
            "10003 [D loss: 0.741237, acc.: 43.75%] [G loss: 0.843164]\n",
            "10004 [D loss: 0.645726, acc.: 62.50%] [G loss: 0.828118]\n",
            "10005 [D loss: 0.693843, acc.: 50.00%] [G loss: 0.843503]\n",
            "10006 [D loss: 0.731184, acc.: 46.88%] [G loss: 0.844785]\n",
            "10007 [D loss: 0.693844, acc.: 56.25%] [G loss: 0.856173]\n",
            "10008 [D loss: 0.680293, acc.: 50.00%] [G loss: 0.838654]\n",
            "10009 [D loss: 0.697580, acc.: 50.00%] [G loss: 0.817111]\n",
            "10010 [D loss: 0.687222, acc.: 43.75%] [G loss: 0.772664]\n",
            "10011 [D loss: 0.710001, acc.: 50.00%] [G loss: 0.769618]\n",
            "10012 [D loss: 0.704660, acc.: 53.12%] [G loss: 0.812545]\n",
            "10013 [D loss: 0.643142, acc.: 71.88%] [G loss: 0.867371]\n",
            "10014 [D loss: 0.733498, acc.: 46.88%] [G loss: 0.880016]\n",
            "10015 [D loss: 0.721254, acc.: 43.75%] [G loss: 0.841740]\n",
            "10016 [D loss: 0.661491, acc.: 65.62%] [G loss: 0.801209]\n",
            "10017 [D loss: 0.642836, acc.: 65.62%] [G loss: 0.846892]\n",
            "10018 [D loss: 0.664660, acc.: 65.62%] [G loss: 0.822957]\n",
            "10019 [D loss: 0.732426, acc.: 50.00%] [G loss: 0.776011]\n",
            "10020 [D loss: 0.708649, acc.: 53.12%] [G loss: 0.832520]\n",
            "10021 [D loss: 0.652365, acc.: 71.88%] [G loss: 0.798102]\n",
            "10022 [D loss: 0.730608, acc.: 46.88%] [G loss: 0.748068]\n",
            "10023 [D loss: 0.707056, acc.: 50.00%] [G loss: 0.836169]\n",
            "10024 [D loss: 0.679481, acc.: 56.25%] [G loss: 0.814903]\n",
            "10025 [D loss: 0.695604, acc.: 56.25%] [G loss: 0.794603]\n",
            "10026 [D loss: 0.642298, acc.: 71.88%] [G loss: 0.800268]\n",
            "10027 [D loss: 0.634914, acc.: 65.62%] [G loss: 0.803965]\n",
            "10028 [D loss: 0.646887, acc.: 65.62%] [G loss: 0.837163]\n",
            "10029 [D loss: 0.594857, acc.: 75.00%] [G loss: 0.828947]\n",
            "10030 [D loss: 0.748987, acc.: 50.00%] [G loss: 0.796495]\n",
            "10031 [D loss: 0.734570, acc.: 40.62%] [G loss: 0.807648]\n",
            "10032 [D loss: 0.675540, acc.: 65.62%] [G loss: 0.799759]\n",
            "10033 [D loss: 0.696666, acc.: 53.12%] [G loss: 0.756495]\n",
            "10034 [D loss: 0.688324, acc.: 56.25%] [G loss: 0.731395]\n",
            "10035 [D loss: 0.676472, acc.: 65.62%] [G loss: 0.784647]\n",
            "10036 [D loss: 0.716511, acc.: 31.25%] [G loss: 0.801523]\n",
            "10037 [D loss: 0.735862, acc.: 43.75%] [G loss: 0.832783]\n",
            "10038 [D loss: 0.617645, acc.: 65.62%] [G loss: 0.843299]\n",
            "10039 [D loss: 0.674527, acc.: 59.38%] [G loss: 0.803748]\n",
            "10040 [D loss: 0.648749, acc.: 65.62%] [G loss: 0.814169]\n",
            "10041 [D loss: 0.667850, acc.: 65.62%] [G loss: 0.802569]\n",
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            "10043 [D loss: 0.660264, acc.: 65.62%] [G loss: 0.807534]\n",
            "10044 [D loss: 0.681395, acc.: 50.00%] [G loss: 0.814966]\n",
            "10045 [D loss: 0.704966, acc.: 43.75%] [G loss: 0.767225]\n",
            "10046 [D loss: 0.682411, acc.: 59.38%] [G loss: 0.796204]\n",
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            "10048 [D loss: 0.622838, acc.: 68.75%] [G loss: 0.812838]\n",
            "10049 [D loss: 0.726855, acc.: 46.88%] [G loss: 0.826736]\n",
            "10050 [D loss: 0.661579, acc.: 62.50%] [G loss: 0.851014]\n",
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            "10053 [D loss: 0.661596, acc.: 71.88%] [G loss: 0.775384]\n",
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            "10055 [D loss: 0.652999, acc.: 65.62%] [G loss: 0.841105]\n",
            "10056 [D loss: 0.711706, acc.: 59.38%] [G loss: 0.807315]\n",
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            "10058 [D loss: 0.627873, acc.: 68.75%] [G loss: 0.766132]\n",
            "10059 [D loss: 0.731814, acc.: 43.75%] [G loss: 0.781990]\n",
            "10060 [D loss: 0.668268, acc.: 68.75%] [G loss: 0.826676]\n",
            "10061 [D loss: 0.633651, acc.: 62.50%] [G loss: 0.826099]\n",
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            "10064 [D loss: 0.744460, acc.: 46.88%] [G loss: 0.818686]\n",
            "10065 [D loss: 0.678844, acc.: 50.00%] [G loss: 0.761027]\n",
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            "10069 [D loss: 0.719141, acc.: 50.00%] [G loss: 0.847875]\n",
            "10070 [D loss: 0.666279, acc.: 50.00%] [G loss: 0.881975]\n",
            "10071 [D loss: 0.648633, acc.: 62.50%] [G loss: 0.846891]\n",
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            "10075 [D loss: 0.707056, acc.: 46.88%] [G loss: 0.833168]\n",
            "10076 [D loss: 0.735247, acc.: 40.62%] [G loss: 0.763205]\n",
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            "10083 [D loss: 0.713242, acc.: 46.88%] [G loss: 0.808650]\n",
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            "10086 [D loss: 0.640601, acc.: 68.75%] [G loss: 0.861864]\n",
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            "10088 [D loss: 0.685713, acc.: 53.12%] [G loss: 0.919179]\n",
            "10089 [D loss: 0.727575, acc.: 40.62%] [G loss: 0.835570]\n",
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            "10091 [D loss: 0.654521, acc.: 59.38%] [G loss: 0.905113]\n",
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            "10176 [D loss: 0.686845, acc.: 56.25%] [G loss: 0.820910]\n",
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            "10178 [D loss: 0.709503, acc.: 50.00%] [G loss: 0.819111]\n",
            "10179 [D loss: 0.811917, acc.: 28.12%] [G loss: 0.797620]\n",
            "10180 [D loss: 0.671474, acc.: 53.12%] [G loss: 0.843821]\n",
            "10181 [D loss: 0.703351, acc.: 56.25%] [G loss: 0.828058]\n",
            "10182 [D loss: 0.645892, acc.: 68.75%] [G loss: 0.839086]\n",
            "10183 [D loss: 0.644794, acc.: 59.38%] [G loss: 0.817726]\n",
            "10184 [D loss: 0.616276, acc.: 65.62%] [G loss: 0.765070]\n",
            "10185 [D loss: 0.629209, acc.: 75.00%] [G loss: 0.789216]\n",
            "10186 [D loss: 0.714270, acc.: 53.12%] [G loss: 0.808390]\n",
            "10187 [D loss: 0.558611, acc.: 75.00%] [G loss: 0.781013]\n",
            "10188 [D loss: 0.626542, acc.: 65.62%] [G loss: 0.730826]\n",
            "10189 [D loss: 0.705491, acc.: 50.00%] [G loss: 0.854939]\n",
            "10190 [D loss: 0.659024, acc.: 62.50%] [G loss: 0.737361]\n",
            "10191 [D loss: 0.764595, acc.: 46.88%] [G loss: 0.803290]\n",
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            "10193 [D loss: 0.694605, acc.: 46.88%] [G loss: 0.847304]\n",
            "10194 [D loss: 0.720027, acc.: 53.12%] [G loss: 0.857502]\n",
            "10195 [D loss: 0.655726, acc.: 65.62%] [G loss: 0.816123]\n",
            "10196 [D loss: 0.683566, acc.: 46.88%] [G loss: 0.835863]\n",
            "10197 [D loss: 0.718196, acc.: 50.00%] [G loss: 0.807780]\n",
            "10198 [D loss: 0.662458, acc.: 65.62%] [G loss: 0.829023]\n",
            "10199 [D loss: 0.732927, acc.: 50.00%] [G loss: 0.847050]\n",
            "10200 [D loss: 0.722264, acc.: 40.62%] [G loss: 0.875251]\n",
            "10201 [D loss: 0.703296, acc.: 50.00%] [G loss: 0.820879]\n",
            "10202 [D loss: 0.733128, acc.: 46.88%] [G loss: 0.835001]\n",
            "10203 [D loss: 0.688577, acc.: 53.12%] [G loss: 0.808960]\n",
            "10204 [D loss: 0.683817, acc.: 50.00%] [G loss: 0.821855]\n",
            "10205 [D loss: 0.721205, acc.: 50.00%] [G loss: 0.810480]\n",
            "10206 [D loss: 0.647282, acc.: 56.25%] [G loss: 0.853913]\n",
            "10207 [D loss: 0.650239, acc.: 65.62%] [G loss: 0.829162]\n",
            "10208 [D loss: 0.673550, acc.: 56.25%] [G loss: 0.809896]\n",
            "10209 [D loss: 0.762185, acc.: 50.00%] [G loss: 0.812429]\n",
            "10210 [D loss: 0.638823, acc.: 71.88%] [G loss: 0.785516]\n",
            "10211 [D loss: 0.658987, acc.: 65.62%] [G loss: 0.774817]\n",
            "10212 [D loss: 0.743612, acc.: 46.88%] [G loss: 0.839169]\n",
            "10213 [D loss: 0.677091, acc.: 62.50%] [G loss: 0.875697]\n",
            "10214 [D loss: 0.682190, acc.: 62.50%] [G loss: 0.804068]\n",
            "10215 [D loss: 0.709968, acc.: 50.00%] [G loss: 0.821563]\n",
            "10216 [D loss: 0.737276, acc.: 46.88%] [G loss: 0.759425]\n",
            "10217 [D loss: 0.740171, acc.: 34.38%] [G loss: 0.832564]\n",
            "10218 [D loss: 0.650195, acc.: 62.50%] [G loss: 0.837819]\n",
            "10219 [D loss: 0.691338, acc.: 50.00%] [G loss: 0.846246]\n",
            "10220 [D loss: 0.674304, acc.: 59.38%] [G loss: 0.866685]\n",
            "10221 [D loss: 0.756821, acc.: 40.62%] [G loss: 0.780247]\n",
            "10222 [D loss: 0.698327, acc.: 50.00%] [G loss: 0.792494]\n",
            "10223 [D loss: 0.703646, acc.: 50.00%] [G loss: 0.820818]\n",
            "10224 [D loss: 0.659908, acc.: 53.12%] [G loss: 0.857704]\n",
            "10225 [D loss: 0.711286, acc.: 53.12%] [G loss: 0.830563]\n",
            "10226 [D loss: 0.664283, acc.: 65.62%] [G loss: 0.852229]\n",
            "10227 [D loss: 0.690001, acc.: 53.12%] [G loss: 0.841136]\n",
            "10228 [D loss: 0.710728, acc.: 43.75%] [G loss: 0.855351]\n",
            "10229 [D loss: 0.696956, acc.: 53.12%] [G loss: 0.825031]\n",
            "10230 [D loss: 0.641761, acc.: 68.75%] [G loss: 0.796030]\n",
            "10231 [D loss: 0.690383, acc.: 56.25%] [G loss: 0.871113]\n",
            "10232 [D loss: 0.650060, acc.: 62.50%] [G loss: 0.781780]\n",
            "10233 [D loss: 0.644526, acc.: 62.50%] [G loss: 0.802582]\n",
            "10234 [D loss: 0.699362, acc.: 53.12%] [G loss: 0.752691]\n",
            "10235 [D loss: 0.664283, acc.: 59.38%] [G loss: 0.747068]\n",
            "10236 [D loss: 0.701668, acc.: 43.75%] [G loss: 0.758209]\n",
            "10237 [D loss: 0.617142, acc.: 65.62%] [G loss: 0.818110]\n",
            "10238 [D loss: 0.661290, acc.: 65.62%] [G loss: 0.753319]\n",
            "10239 [D loss: 0.643164, acc.: 65.62%] [G loss: 0.799751]\n",
            "10240 [D loss: 0.589608, acc.: 84.38%] [G loss: 0.805033]\n",
            "10241 [D loss: 0.633145, acc.: 75.00%] [G loss: 0.807995]\n",
            "10242 [D loss: 0.681367, acc.: 59.38%] [G loss: 0.821420]\n",
            "10243 [D loss: 0.793959, acc.: 43.75%] [G loss: 0.858002]\n",
            "10244 [D loss: 0.758580, acc.: 56.25%] [G loss: 0.816607]\n",
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            "10246 [D loss: 0.608268, acc.: 68.75%] [G loss: 0.897301]\n",
            "10247 [D loss: 0.675562, acc.: 53.12%] [G loss: 0.836599]\n",
            "10248 [D loss: 0.705636, acc.: 50.00%] [G loss: 0.788756]\n",
            "10249 [D loss: 0.699798, acc.: 50.00%] [G loss: 0.797994]\n",
            "10250 [D loss: 0.661785, acc.: 68.75%] [G loss: 0.767408]\n",
            "10251 [D loss: 0.700048, acc.: 43.75%] [G loss: 0.805627]\n",
            "10252 [D loss: 0.684298, acc.: 50.00%] [G loss: 0.791997]\n",
            "10253 [D loss: 0.682474, acc.: 59.38%] [G loss: 0.845682]\n",
            "10254 [D loss: 0.682629, acc.: 62.50%] [G loss: 0.805926]\n",
            "10255 [D loss: 0.693321, acc.: 62.50%] [G loss: 0.826461]\n",
            "10256 [D loss: 0.638000, acc.: 62.50%] [G loss: 0.792593]\n",
            "10257 [D loss: 0.698036, acc.: 46.88%] [G loss: 0.802392]\n",
            "10258 [D loss: 0.648883, acc.: 56.25%] [G loss: 0.866002]\n",
            "10259 [D loss: 0.728457, acc.: 43.75%] [G loss: 0.852775]\n",
            "10260 [D loss: 0.664998, acc.: 62.50%] [G loss: 0.887944]\n",
            "10261 [D loss: 0.691558, acc.: 56.25%] [G loss: 0.921945]\n",
            "10262 [D loss: 0.656788, acc.: 71.88%] [G loss: 0.806485]\n",
            "10263 [D loss: 0.692788, acc.: 50.00%] [G loss: 0.834361]\n",
            "10264 [D loss: 0.678725, acc.: 62.50%] [G loss: 0.800431]\n",
            "10265 [D loss: 0.674130, acc.: 59.38%] [G loss: 0.773273]\n",
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            "10268 [D loss: 0.702607, acc.: 56.25%] [G loss: 0.850045]\n",
            "10269 [D loss: 0.713030, acc.: 59.38%] [G loss: 0.879795]\n",
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            "10271 [D loss: 0.645214, acc.: 65.62%] [G loss: 0.781798]\n",
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            "10273 [D loss: 0.636653, acc.: 71.88%] [G loss: 0.867248]\n",
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            "10276 [D loss: 0.639843, acc.: 71.88%] [G loss: 0.837940]\n",
            "10277 [D loss: 0.654269, acc.: 59.38%] [G loss: 0.856042]\n",
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            "10279 [D loss: 0.608305, acc.: 68.75%] [G loss: 0.752004]\n",
            "10280 [D loss: 0.673562, acc.: 56.25%] [G loss: 0.723130]\n",
            "10281 [D loss: 0.759595, acc.: 46.88%] [G loss: 0.811227]\n",
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            "10283 [D loss: 0.681685, acc.: 75.00%] [G loss: 0.787150]\n",
            "10284 [D loss: 0.696426, acc.: 50.00%] [G loss: 0.785159]\n",
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            "10286 [D loss: 0.646266, acc.: 68.75%] [G loss: 0.805848]\n",
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            "10291 [D loss: 0.696223, acc.: 62.50%] [G loss: 0.851621]\n",
            "10292 [D loss: 0.573303, acc.: 81.25%] [G loss: 0.911277]\n",
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            "10300 [D loss: 0.653053, acc.: 62.50%] [G loss: 0.781821]\n",
            "10301 [D loss: 0.749151, acc.: 46.88%] [G loss: 0.811072]\n",
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            "10310 [D loss: 0.687071, acc.: 46.88%] [G loss: 0.818515]\n",
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            "10325 [D loss: 0.708573, acc.: 37.50%] [G loss: 0.871111]\n",
            "10326 [D loss: 0.641026, acc.: 68.75%] [G loss: 0.867378]\n",
            "10327 [D loss: 0.630351, acc.: 65.62%] [G loss: 0.838377]\n",
            "10328 [D loss: 0.673004, acc.: 56.25%] [G loss: 0.801943]\n",
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            "10333 [D loss: 0.694901, acc.: 53.12%] [G loss: 0.831248]\n",
            "10334 [D loss: 0.668107, acc.: 65.62%] [G loss: 0.842586]\n",
            "10335 [D loss: 0.750606, acc.: 50.00%] [G loss: 0.763210]\n",
            "10336 [D loss: 0.645196, acc.: 56.25%] [G loss: 0.791557]\n",
            "10337 [D loss: 0.694969, acc.: 59.38%] [G loss: 0.821151]\n",
            "10338 [D loss: 0.625231, acc.: 68.75%] [G loss: 0.867276]\n",
            "10339 [D loss: 0.695547, acc.: 40.62%] [G loss: 0.817091]\n",
            "10340 [D loss: 0.607303, acc.: 68.75%] [G loss: 0.807681]\n",
            "10341 [D loss: 0.682045, acc.: 59.38%] [G loss: 0.792120]\n",
            "10342 [D loss: 0.692803, acc.: 56.25%] [G loss: 0.812313]\n",
            "10343 [D loss: 0.679920, acc.: 53.12%] [G loss: 0.785263]\n",
            "10344 [D loss: 0.654944, acc.: 68.75%] [G loss: 0.782521]\n",
            "10345 [D loss: 0.646193, acc.: 56.25%] [G loss: 0.832474]\n",
            "10346 [D loss: 0.750172, acc.: 40.62%] [G loss: 0.785946]\n",
            "10347 [D loss: 0.640589, acc.: 71.88%] [G loss: 0.837861]\n",
            "10348 [D loss: 0.657728, acc.: 68.75%] [G loss: 0.770668]\n",
            "10349 [D loss: 0.648263, acc.: 50.00%] [G loss: 0.823371]\n",
            "10350 [D loss: 0.706244, acc.: 56.25%] [G loss: 0.757764]\n",
            "10351 [D loss: 0.691703, acc.: 53.12%] [G loss: 0.740433]\n",
            "10352 [D loss: 0.641056, acc.: 65.62%] [G loss: 0.749889]\n",
            "10353 [D loss: 0.719464, acc.: 50.00%] [G loss: 0.718140]\n",
            "10354 [D loss: 0.673918, acc.: 56.25%] [G loss: 0.810366]\n",
            "10355 [D loss: 0.651923, acc.: 59.38%] [G loss: 0.851686]\n",
            "10356 [D loss: 0.675284, acc.: 59.38%] [G loss: 0.779602]\n",
            "10357 [D loss: 0.741724, acc.: 40.62%] [G loss: 0.796201]\n",
            "10358 [D loss: 0.712805, acc.: 50.00%] [G loss: 0.859041]\n",
            "10359 [D loss: 0.689807, acc.: 53.12%] [G loss: 0.832635]\n",
            "10360 [D loss: 0.651264, acc.: 62.50%] [G loss: 0.809891]\n",
            "10361 [D loss: 0.598012, acc.: 65.62%] [G loss: 0.832007]\n",
            "10362 [D loss: 0.644054, acc.: 65.62%] [G loss: 0.794296]\n",
            "10363 [D loss: 0.683401, acc.: 43.75%] [G loss: 0.800815]\n",
            "10364 [D loss: 0.674771, acc.: 56.25%] [G loss: 0.781704]\n",
            "10365 [D loss: 0.655565, acc.: 59.38%] [G loss: 0.783567]\n",
            "10366 [D loss: 0.689081, acc.: 56.25%] [G loss: 0.803376]\n",
            "10367 [D loss: 0.695105, acc.: 43.75%] [G loss: 0.867285]\n",
            "10368 [D loss: 0.650687, acc.: 56.25%] [G loss: 0.837717]\n",
            "10369 [D loss: 0.684883, acc.: 43.75%] [G loss: 0.868348]\n",
            "10370 [D loss: 0.609127, acc.: 75.00%] [G loss: 0.861017]\n",
            "10371 [D loss: 0.639440, acc.: 46.88%] [G loss: 0.864374]\n",
            "10372 [D loss: 0.744449, acc.: 46.88%] [G loss: 0.882306]\n",
            "10373 [D loss: 0.649597, acc.: 59.38%] [G loss: 0.882076]\n",
            "10374 [D loss: 0.660494, acc.: 56.25%] [G loss: 0.825077]\n",
            "10375 [D loss: 0.609095, acc.: 75.00%] [G loss: 0.822985]\n",
            "10376 [D loss: 0.779847, acc.: 50.00%] [G loss: 0.851527]\n",
            "10377 [D loss: 0.696827, acc.: 50.00%] [G loss: 0.825732]\n",
            "10378 [D loss: 0.698573, acc.: 43.75%] [G loss: 0.786831]\n",
            "10379 [D loss: 0.690441, acc.: 50.00%] [G loss: 0.829671]\n",
            "10380 [D loss: 0.661990, acc.: 56.25%] [G loss: 0.854075]\n",
            "10381 [D loss: 0.713345, acc.: 43.75%] [G loss: 0.814280]\n",
            "10382 [D loss: 0.664604, acc.: 50.00%] [G loss: 0.780537]\n",
            "10383 [D loss: 0.745654, acc.: 40.62%] [G loss: 0.850198]\n",
            "10384 [D loss: 0.726548, acc.: 37.50%] [G loss: 0.850088]\n",
            "10385 [D loss: 0.656065, acc.: 53.12%] [G loss: 0.904102]\n",
            "10386 [D loss: 0.665736, acc.: 62.50%] [G loss: 0.845926]\n",
            "10387 [D loss: 0.678262, acc.: 59.38%] [G loss: 0.826121]\n",
            "10388 [D loss: 0.630632, acc.: 71.88%] [G loss: 0.793101]\n",
            "10389 [D loss: 0.735980, acc.: 46.88%] [G loss: 0.775615]\n",
            "10390 [D loss: 0.767905, acc.: 46.88%] [G loss: 0.781686]\n",
            "10391 [D loss: 0.665228, acc.: 62.50%] [G loss: 0.779688]\n",
            "10392 [D loss: 0.704829, acc.: 56.25%] [G loss: 0.769625]\n",
            "10393 [D loss: 0.665982, acc.: 53.12%] [G loss: 0.745376]\n",
            "10394 [D loss: 0.633738, acc.: 59.38%] [G loss: 0.745144]\n",
            "10395 [D loss: 0.660742, acc.: 62.50%] [G loss: 0.786803]\n",
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            "10397 [D loss: 0.695505, acc.: 53.12%] [G loss: 0.804830]\n",
            "10398 [D loss: 0.704968, acc.: 56.25%] [G loss: 0.842043]\n",
            "10399 [D loss: 0.645903, acc.: 65.62%] [G loss: 0.832119]\n",
            "10400 [D loss: 0.625237, acc.: 68.75%] [G loss: 0.900462]\n",
            "10401 [D loss: 0.677905, acc.: 68.75%] [G loss: 0.822194]\n",
            "10402 [D loss: 0.740774, acc.: 56.25%] [G loss: 0.823208]\n",
            "10403 [D loss: 0.751163, acc.: 46.88%] [G loss: 0.796777]\n",
            "10404 [D loss: 0.697117, acc.: 50.00%] [G loss: 0.771055]\n",
            "10405 [D loss: 0.702255, acc.: 50.00%] [G loss: 0.843904]\n",
            "10406 [D loss: 0.631667, acc.: 71.88%] [G loss: 0.766465]\n",
            "10407 [D loss: 0.687798, acc.: 56.25%] [G loss: 0.769902]\n",
            "10408 [D loss: 0.755976, acc.: 53.12%] [G loss: 0.720794]\n",
            "10409 [D loss: 0.643008, acc.: 56.25%] [G loss: 0.815575]\n",
            "10410 [D loss: 0.626241, acc.: 68.75%] [G loss: 0.842940]\n",
            "10411 [D loss: 0.685699, acc.: 59.38%] [G loss: 0.816941]\n",
            "10412 [D loss: 0.838069, acc.: 37.50%] [G loss: 0.792476]\n",
            "10413 [D loss: 0.699335, acc.: 62.50%] [G loss: 0.767575]\n",
            "10414 [D loss: 0.737904, acc.: 43.75%] [G loss: 0.808059]\n",
            "10415 [D loss: 0.660753, acc.: 59.38%] [G loss: 0.768176]\n",
            "10416 [D loss: 0.649277, acc.: 56.25%] [G loss: 0.817003]\n",
            "10417 [D loss: 0.707929, acc.: 53.12%] [G loss: 0.799746]\n",
            "10418 [D loss: 0.627083, acc.: 65.62%] [G loss: 0.775959]\n",
            "10419 [D loss: 0.641091, acc.: 68.75%] [G loss: 0.761642]\n",
            "10420 [D loss: 0.622581, acc.: 68.75%] [G loss: 0.782114]\n",
            "10421 [D loss: 0.642299, acc.: 62.50%] [G loss: 0.769406]\n",
            "10422 [D loss: 0.590617, acc.: 78.12%] [G loss: 0.771968]\n",
            "10423 [D loss: 0.802148, acc.: 37.50%] [G loss: 0.756256]\n",
            "10424 [D loss: 0.642999, acc.: 65.62%] [G loss: 0.839396]\n",
            "10425 [D loss: 0.669722, acc.: 75.00%] [G loss: 0.812791]\n",
            "10426 [D loss: 0.759651, acc.: 40.62%] [G loss: 0.791495]\n",
            "10427 [D loss: 0.672876, acc.: 50.00%] [G loss: 0.882551]\n",
            "10428 [D loss: 0.667818, acc.: 59.38%] [G loss: 0.849314]\n",
            "10429 [D loss: 0.781404, acc.: 46.88%] [G loss: 0.793777]\n",
            "10430 [D loss: 0.695963, acc.: 56.25%] [G loss: 0.852838]\n",
            "10431 [D loss: 0.693364, acc.: 68.75%] [G loss: 0.830050]\n",
            "10432 [D loss: 0.677702, acc.: 56.25%] [G loss: 0.785162]\n",
            "10433 [D loss: 0.681138, acc.: 56.25%] [G loss: 0.831690]\n",
            "10434 [D loss: 0.662134, acc.: 59.38%] [G loss: 0.859020]\n",
            "10435 [D loss: 0.645818, acc.: 62.50%] [G loss: 0.841671]\n",
            "10436 [D loss: 0.734189, acc.: 43.75%] [G loss: 0.832899]\n",
            "10437 [D loss: 0.678746, acc.: 62.50%] [G loss: 0.792653]\n",
            "10438 [D loss: 0.703536, acc.: 56.25%] [G loss: 0.789336]\n",
            "10439 [D loss: 0.688993, acc.: 59.38%] [G loss: 0.830285]\n",
            "10440 [D loss: 0.702787, acc.: 56.25%] [G loss: 0.791643]\n",
            "10441 [D loss: 0.632618, acc.: 68.75%] [G loss: 0.824509]\n",
            "10442 [D loss: 0.683238, acc.: 71.88%] [G loss: 0.821172]\n",
            "10443 [D loss: 0.711174, acc.: 53.12%] [G loss: 0.843257]\n",
            "10444 [D loss: 0.705255, acc.: 46.88%] [G loss: 0.820995]\n",
            "10445 [D loss: 0.637187, acc.: 71.88%] [G loss: 0.788849]\n",
            "10446 [D loss: 0.697845, acc.: 56.25%] [G loss: 0.791135]\n",
            "10447 [D loss: 0.714520, acc.: 46.88%] [G loss: 0.798756]\n",
            "10448 [D loss: 0.682404, acc.: 53.12%] [G loss: 0.828785]\n",
            "10449 [D loss: 0.698956, acc.: 46.88%] [G loss: 0.798869]\n",
            "10450 [D loss: 0.758636, acc.: 40.62%] [G loss: 0.814472]\n",
            "10451 [D loss: 0.644826, acc.: 59.38%] [G loss: 0.804942]\n",
            "10452 [D loss: 0.667186, acc.: 65.62%] [G loss: 0.839924]\n",
            "10453 [D loss: 0.603544, acc.: 78.12%] [G loss: 0.870794]\n",
            "10454 [D loss: 0.719827, acc.: 50.00%] [G loss: 0.837719]\n",
            "10455 [D loss: 0.680912, acc.: 46.88%] [G loss: 0.775432]\n",
            "10456 [D loss: 0.638405, acc.: 68.75%] [G loss: 0.792232]\n",
            "10457 [D loss: 0.680134, acc.: 62.50%] [G loss: 0.794222]\n",
            "10458 [D loss: 0.736009, acc.: 40.62%] [G loss: 0.831479]\n",
            "10459 [D loss: 0.725761, acc.: 43.75%] [G loss: 0.772920]\n",
            "10460 [D loss: 0.646954, acc.: 71.88%] [G loss: 0.833015]\n",
            "10461 [D loss: 0.658508, acc.: 56.25%] [G loss: 0.818328]\n",
            "10462 [D loss: 0.677507, acc.: 62.50%] [G loss: 0.859833]\n",
            "10463 [D loss: 0.681866, acc.: 56.25%] [G loss: 0.831693]\n",
            "10464 [D loss: 0.699186, acc.: 59.38%] [G loss: 0.881721]\n",
            "10465 [D loss: 0.651191, acc.: 59.38%] [G loss: 0.812236]\n",
            "10466 [D loss: 0.650942, acc.: 53.12%] [G loss: 0.833153]\n",
            "10467 [D loss: 0.773886, acc.: 53.12%] [G loss: 0.811509]\n",
            "10468 [D loss: 0.664105, acc.: 59.38%] [G loss: 0.843260]\n",
            "10469 [D loss: 0.708775, acc.: 53.12%] [G loss: 0.846123]\n",
            "10470 [D loss: 0.746418, acc.: 37.50%] [G loss: 0.708271]\n",
            "10471 [D loss: 0.706685, acc.: 50.00%] [G loss: 0.796445]\n",
            "10472 [D loss: 0.635689, acc.: 68.75%] [G loss: 0.840220]\n",
            "10473 [D loss: 0.717790, acc.: 40.62%] [G loss: 0.823500]\n",
            "10474 [D loss: 0.693310, acc.: 46.88%] [G loss: 0.774112]\n",
            "10475 [D loss: 0.706732, acc.: 46.88%] [G loss: 0.807685]\n",
            "10476 [D loss: 0.657611, acc.: 78.12%] [G loss: 0.831715]\n",
            "10477 [D loss: 0.673816, acc.: 62.50%] [G loss: 0.792272]\n",
            "10478 [D loss: 0.659147, acc.: 56.25%] [G loss: 0.828729]\n",
            "10479 [D loss: 0.682957, acc.: 59.38%] [G loss: 0.808095]\n",
            "10480 [D loss: 0.619466, acc.: 68.75%] [G loss: 0.798837]\n",
            "10481 [D loss: 0.715518, acc.: 50.00%] [G loss: 0.816920]\n",
            "10482 [D loss: 0.745438, acc.: 43.75%] [G loss: 0.810186]\n",
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            "10484 [D loss: 0.611058, acc.: 78.12%] [G loss: 0.838009]\n",
            "10485 [D loss: 0.698895, acc.: 50.00%] [G loss: 0.809255]\n",
            "10486 [D loss: 0.695749, acc.: 46.88%] [G loss: 0.814295]\n",
            "10487 [D loss: 0.595411, acc.: 75.00%] [G loss: 0.858815]\n",
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            "10489 [D loss: 0.680874, acc.: 62.50%] [G loss: 0.745741]\n",
            "10490 [D loss: 0.769656, acc.: 56.25%] [G loss: 0.766622]\n",
            "10491 [D loss: 0.751214, acc.: 40.62%] [G loss: 0.765449]\n",
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            "10493 [D loss: 0.724355, acc.: 40.62%] [G loss: 0.736809]\n",
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            "10495 [D loss: 0.699745, acc.: 68.75%] [G loss: 0.805322]\n",
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            "10501 [D loss: 0.716626, acc.: 59.38%] [G loss: 0.812721]\n",
            "10502 [D loss: 0.679568, acc.: 62.50%] [G loss: 0.843864]\n",
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            "10504 [D loss: 0.682067, acc.: 62.50%] [G loss: 0.806823]\n",
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            "10512 [D loss: 0.668947, acc.: 62.50%] [G loss: 0.821269]\n",
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            "10537 [D loss: 0.722567, acc.: 40.62%] [G loss: 0.851963]\n",
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            "10546 [D loss: 0.632961, acc.: 71.88%] [G loss: 0.788373]\n",
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            "10563 [D loss: 0.670970, acc.: 56.25%] [G loss: 0.862269]\n",
            "10564 [D loss: 0.702846, acc.: 56.25%] [G loss: 0.789116]\n",
            "10565 [D loss: 0.686170, acc.: 62.50%] [G loss: 0.845672]\n",
            "10566 [D loss: 0.673519, acc.: 53.12%] [G loss: 0.888116]\n",
            "10567 [D loss: 0.704181, acc.: 53.12%] [G loss: 0.789546]\n",
            "10568 [D loss: 0.686854, acc.: 59.38%] [G loss: 0.784498]\n",
            "10569 [D loss: 0.667650, acc.: 62.50%] [G loss: 0.827843]\n",
            "10570 [D loss: 0.691482, acc.: 59.38%] [G loss: 0.814150]\n",
            "10571 [D loss: 0.704685, acc.: 50.00%] [G loss: 0.745072]\n",
            "10572 [D loss: 0.692537, acc.: 53.12%] [G loss: 0.775812]\n",
            "10573 [D loss: 0.715256, acc.: 56.25%] [G loss: 0.755466]\n",
            "10574 [D loss: 0.698587, acc.: 56.25%] [G loss: 0.726853]\n",
            "10575 [D loss: 0.676060, acc.: 59.38%] [G loss: 0.787250]\n",
            "10576 [D loss: 0.722340, acc.: 46.88%] [G loss: 0.770482]\n",
            "10577 [D loss: 0.687918, acc.: 56.25%] [G loss: 0.793944]\n",
            "10578 [D loss: 0.713207, acc.: 53.12%] [G loss: 0.786158]\n",
            "10579 [D loss: 0.623301, acc.: 68.75%] [G loss: 0.789083]\n",
            "10580 [D loss: 0.688282, acc.: 53.12%] [G loss: 0.805744]\n",
            "10581 [D loss: 0.675252, acc.: 46.88%] [G loss: 0.827895]\n",
            "10582 [D loss: 0.684144, acc.: 62.50%] [G loss: 0.788916]\n",
            "10583 [D loss: 0.705105, acc.: 56.25%] [G loss: 0.884604]\n",
            "10584 [D loss: 0.639792, acc.: 65.62%] [G loss: 0.839973]\n",
            "10585 [D loss: 0.653492, acc.: 65.62%] [G loss: 0.810983]\n",
            "10586 [D loss: 0.701525, acc.: 50.00%] [G loss: 0.800739]\n",
            "10587 [D loss: 0.660629, acc.: 62.50%] [G loss: 0.800873]\n",
            "10588 [D loss: 0.704316, acc.: 53.12%] [G loss: 0.745371]\n",
            "10589 [D loss: 0.654469, acc.: 62.50%] [G loss: 0.780190]\n",
            "10590 [D loss: 0.674873, acc.: 50.00%] [G loss: 0.809483]\n",
            "10591 [D loss: 0.727551, acc.: 40.62%] [G loss: 0.811190]\n",
            "10592 [D loss: 0.659804, acc.: 56.25%] [G loss: 0.737810]\n",
            "10593 [D loss: 0.691113, acc.: 50.00%] [G loss: 0.814656]\n",
            "10594 [D loss: 0.698251, acc.: 59.38%] [G loss: 0.855958]\n",
            "10595 [D loss: 0.627168, acc.: 68.75%] [G loss: 0.826323]\n",
            "10596 [D loss: 0.723954, acc.: 43.75%] [G loss: 0.785884]\n",
            "10597 [D loss: 0.713705, acc.: 43.75%] [G loss: 0.821632]\n",
            "10598 [D loss: 0.673091, acc.: 56.25%] [G loss: 0.791794]\n",
            "10599 [D loss: 0.685987, acc.: 62.50%] [G loss: 0.834065]\n",
            "10600 [D loss: 0.715093, acc.: 50.00%] [G loss: 0.835585]\n",
            "10601 [D loss: 0.619408, acc.: 81.25%] [G loss: 0.801742]\n",
            "10602 [D loss: 0.652326, acc.: 65.62%] [G loss: 0.789759]\n",
            "10603 [D loss: 0.722240, acc.: 43.75%] [G loss: 0.815749]\n",
            "10604 [D loss: 0.731775, acc.: 40.62%] [G loss: 0.789616]\n",
            "10605 [D loss: 0.637812, acc.: 62.50%] [G loss: 0.805053]\n",
            "10606 [D loss: 0.696359, acc.: 50.00%] [G loss: 0.771321]\n",
            "10607 [D loss: 0.674621, acc.: 59.38%] [G loss: 0.785821]\n",
            "10608 [D loss: 0.686098, acc.: 59.38%] [G loss: 0.827938]\n",
            "10609 [D loss: 0.698739, acc.: 53.12%] [G loss: 0.825922]\n",
            "10610 [D loss: 0.660201, acc.: 59.38%] [G loss: 0.706785]\n",
            "10611 [D loss: 0.661667, acc.: 56.25%] [G loss: 0.772229]\n",
            "10612 [D loss: 0.675331, acc.: 59.38%] [G loss: 0.760522]\n",
            "10613 [D loss: 0.661966, acc.: 53.12%] [G loss: 0.735325]\n",
            "10614 [D loss: 0.689360, acc.: 50.00%] [G loss: 0.818207]\n",
            "10615 [D loss: 0.714438, acc.: 50.00%] [G loss: 0.803302]\n",
            "10616 [D loss: 0.655587, acc.: 56.25%] [G loss: 0.738745]\n",
            "10617 [D loss: 0.681199, acc.: 46.88%] [G loss: 0.788913]\n",
            "10618 [D loss: 0.756571, acc.: 43.75%] [G loss: 0.872821]\n",
            "10619 [D loss: 0.636503, acc.: 65.62%] [G loss: 0.800292]\n",
            "10620 [D loss: 0.636071, acc.: 68.75%] [G loss: 0.777169]\n",
            "10621 [D loss: 0.722900, acc.: 50.00%] [G loss: 0.819780]\n",
            "10622 [D loss: 0.692200, acc.: 62.50%] [G loss: 0.763143]\n",
            "10623 [D loss: 0.678889, acc.: 59.38%] [G loss: 0.789011]\n",
            "10624 [D loss: 0.720403, acc.: 46.88%] [G loss: 0.742302]\n",
            "10625 [D loss: 0.688683, acc.: 59.38%] [G loss: 0.764579]\n",
            "10626 [D loss: 0.647964, acc.: 59.38%] [G loss: 0.874903]\n",
            "10627 [D loss: 0.679423, acc.: 65.62%] [G loss: 0.892240]\n",
            "10628 [D loss: 0.751611, acc.: 46.88%] [G loss: 0.870031]\n",
            "10629 [D loss: 0.681601, acc.: 50.00%] [G loss: 0.919060]\n",
            "10630 [D loss: 0.656546, acc.: 62.50%] [G loss: 0.872774]\n",
            "10631 [D loss: 0.740795, acc.: 43.75%] [G loss: 0.822506]\n",
            "10632 [D loss: 0.714749, acc.: 43.75%] [G loss: 0.779239]\n",
            "10633 [D loss: 0.683109, acc.: 62.50%] [G loss: 0.801665]\n",
            "10634 [D loss: 0.668678, acc.: 68.75%] [G loss: 0.756768]\n",
            "10635 [D loss: 0.750934, acc.: 53.12%] [G loss: 0.800145]\n",
            "10636 [D loss: 0.674162, acc.: 75.00%] [G loss: 0.820540]\n",
            "10637 [D loss: 0.714350, acc.: 53.12%] [G loss: 0.797230]\n",
            "10638 [D loss: 0.666160, acc.: 59.38%] [G loss: 0.800922]\n",
            "10639 [D loss: 0.696802, acc.: 46.88%] [G loss: 0.786382]\n",
            "10640 [D loss: 0.673742, acc.: 56.25%] [G loss: 0.835998]\n",
            "10641 [D loss: 0.740819, acc.: 50.00%] [G loss: 0.810957]\n",
            "10642 [D loss: 0.672028, acc.: 59.38%] [G loss: 0.841363]\n",
            "10643 [D loss: 0.608905, acc.: 75.00%] [G loss: 0.831781]\n",
            "10644 [D loss: 0.692153, acc.: 53.12%] [G loss: 0.805981]\n",
            "10645 [D loss: 0.733009, acc.: 46.88%] [G loss: 0.817651]\n",
            "10646 [D loss: 0.637643, acc.: 59.38%] [G loss: 0.838571]\n",
            "10647 [D loss: 0.666697, acc.: 62.50%] [G loss: 0.825025]\n",
            "10648 [D loss: 0.665024, acc.: 56.25%] [G loss: 0.791081]\n",
            "10649 [D loss: 0.688172, acc.: 59.38%] [G loss: 0.816348]\n",
            "10650 [D loss: 0.626409, acc.: 81.25%] [G loss: 0.714711]\n",
            "10651 [D loss: 0.754230, acc.: 34.38%] [G loss: 0.778465]\n",
            "10652 [D loss: 0.711173, acc.: 50.00%] [G loss: 0.816519]\n",
            "10653 [D loss: 0.671821, acc.: 56.25%] [G loss: 0.818387]\n",
            "10654 [D loss: 0.680841, acc.: 56.25%] [G loss: 0.762960]\n",
            "10655 [D loss: 0.694630, acc.: 50.00%] [G loss: 0.781885]\n",
            "10656 [D loss: 0.690845, acc.: 50.00%] [G loss: 0.759728]\n",
            "10657 [D loss: 0.664981, acc.: 59.38%] [G loss: 0.674162]\n",
            "10658 [D loss: 0.731523, acc.: 43.75%] [G loss: 0.762720]\n",
            "10659 [D loss: 0.699527, acc.: 43.75%] [G loss: 0.749092]\n",
            "10660 [D loss: 0.722816, acc.: 46.88%] [G loss: 0.795737]\n",
            "10661 [D loss: 0.652795, acc.: 59.38%] [G loss: 0.792776]\n",
            "10662 [D loss: 0.714743, acc.: 43.75%] [G loss: 0.848081]\n",
            "10663 [D loss: 0.703681, acc.: 53.12%] [G loss: 0.810097]\n",
            "10664 [D loss: 0.734917, acc.: 46.88%] [G loss: 0.789369]\n",
            "10665 [D loss: 0.683159, acc.: 56.25%] [G loss: 0.850107]\n",
            "10666 [D loss: 0.685950, acc.: 62.50%] [G loss: 0.811278]\n",
            "10667 [D loss: 0.684974, acc.: 50.00%] [G loss: 0.820802]\n",
            "10668 [D loss: 0.674426, acc.: 56.25%] [G loss: 0.839632]\n",
            "10669 [D loss: 0.716865, acc.: 53.12%] [G loss: 0.807782]\n",
            "10670 [D loss: 0.702236, acc.: 56.25%] [G loss: 0.829972]\n",
            "10671 [D loss: 0.639944, acc.: 59.38%] [G loss: 0.863930]\n",
            "10672 [D loss: 0.644310, acc.: 56.25%] [G loss: 0.793485]\n",
            "10673 [D loss: 0.692644, acc.: 59.38%] [G loss: 0.849684]\n",
            "10674 [D loss: 0.670784, acc.: 53.12%] [G loss: 0.875540]\n",
            "10675 [D loss: 0.686472, acc.: 59.38%] [G loss: 0.931110]\n",
            "10676 [D loss: 0.717047, acc.: 59.38%] [G loss: 0.783604]\n",
            "10677 [D loss: 0.619112, acc.: 71.88%] [G loss: 0.867682]\n",
            "10678 [D loss: 0.699081, acc.: 53.12%] [G loss: 0.812737]\n",
            "10679 [D loss: 0.681926, acc.: 56.25%] [G loss: 0.790873]\n",
            "10680 [D loss: 0.634693, acc.: 62.50%] [G loss: 0.822760]\n",
            "10681 [D loss: 0.683898, acc.: 50.00%] [G loss: 0.794987]\n",
            "10682 [D loss: 0.692202, acc.: 43.75%] [G loss: 0.815720]\n",
            "10683 [D loss: 0.664780, acc.: 56.25%] [G loss: 0.822784]\n",
            "10684 [D loss: 0.622932, acc.: 68.75%] [G loss: 0.788134]\n",
            "10685 [D loss: 0.610045, acc.: 71.88%] [G loss: 0.856978]\n",
            "10686 [D loss: 0.716602, acc.: 43.75%] [G loss: 0.806387]\n",
            "10687 [D loss: 0.626125, acc.: 59.38%] [G loss: 0.796874]\n",
            "10688 [D loss: 0.761992, acc.: 46.88%] [G loss: 0.792849]\n",
            "10689 [D loss: 0.682747, acc.: 53.12%] [G loss: 0.841428]\n",
            "10690 [D loss: 0.673016, acc.: 59.38%] [G loss: 0.823551]\n",
            "10691 [D loss: 0.646751, acc.: 65.62%] [G loss: 0.800485]\n",
            "10692 [D loss: 0.656169, acc.: 53.12%] [G loss: 0.811325]\n",
            "10693 [D loss: 0.741557, acc.: 37.50%] [G loss: 0.742654]\n",
            "10694 [D loss: 0.646820, acc.: 68.75%] [G loss: 0.825653]\n",
            "10695 [D loss: 0.688948, acc.: 59.38%] [G loss: 0.777184]\n",
            "10696 [D loss: 0.632543, acc.: 59.38%] [G loss: 0.817237]\n",
            "10697 [D loss: 0.712582, acc.: 43.75%] [G loss: 0.813403]\n",
            "10698 [D loss: 0.738009, acc.: 43.75%] [G loss: 0.822975]\n",
            "10699 [D loss: 0.690789, acc.: 46.88%] [G loss: 0.836827]\n",
            "10700 [D loss: 0.668798, acc.: 50.00%] [G loss: 0.859599]\n",
            "10701 [D loss: 0.734877, acc.: 40.62%] [G loss: 0.830996]\n",
            "10702 [D loss: 0.621399, acc.: 62.50%] [G loss: 0.824672]\n",
            "10703 [D loss: 0.657716, acc.: 56.25%] [G loss: 0.848650]\n",
            "10704 [D loss: 0.686305, acc.: 50.00%] [G loss: 0.821600]\n",
            "10705 [D loss: 0.659699, acc.: 65.62%] [G loss: 0.832937]\n",
            "10706 [D loss: 0.690560, acc.: 46.88%] [G loss: 0.840837]\n",
            "10707 [D loss: 0.601352, acc.: 75.00%] [G loss: 0.824331]\n",
            "10708 [D loss: 0.643298, acc.: 71.88%] [G loss: 0.790785]\n",
            "10709 [D loss: 0.724281, acc.: 46.88%] [G loss: 0.799063]\n",
            "10710 [D loss: 0.614350, acc.: 65.62%] [G loss: 0.829738]\n",
            "10711 [D loss: 0.706793, acc.: 40.62%] [G loss: 0.770060]\n",
            "10712 [D loss: 0.598190, acc.: 68.75%] [G loss: 0.882287]\n",
            "10713 [D loss: 0.632502, acc.: 68.75%] [G loss: 0.829824]\n",
            "10714 [D loss: 0.730061, acc.: 46.88%] [G loss: 0.774754]\n",
            "10715 [D loss: 0.700452, acc.: 46.88%] [G loss: 0.766558]\n",
            "10716 [D loss: 0.693629, acc.: 56.25%] [G loss: 0.831913]\n",
            "10717 [D loss: 0.664710, acc.: 59.38%] [G loss: 0.859977]\n",
            "10718 [D loss: 0.603115, acc.: 78.12%] [G loss: 0.831009]\n",
            "10719 [D loss: 0.672328, acc.: 56.25%] [G loss: 0.794780]\n",
            "10720 [D loss: 0.701227, acc.: 68.75%] [G loss: 0.816673]\n",
            "10721 [D loss: 0.626492, acc.: 59.38%] [G loss: 0.885349]\n",
            "10722 [D loss: 0.687189, acc.: 53.12%] [G loss: 0.863491]\n",
            "10723 [D loss: 0.636534, acc.: 68.75%] [G loss: 0.896036]\n",
            "10724 [D loss: 0.664025, acc.: 53.12%] [G loss: 0.848472]\n",
            "10725 [D loss: 0.696216, acc.: 46.88%] [G loss: 0.886261]\n",
            "10726 [D loss: 0.669241, acc.: 62.50%] [G loss: 0.874199]\n",
            "10727 [D loss: 0.762873, acc.: 46.88%] [G loss: 0.816221]\n",
            "10728 [D loss: 0.642827, acc.: 59.38%] [G loss: 0.846718]\n",
            "10729 [D loss: 0.658196, acc.: 68.75%] [G loss: 0.801638]\n",
            "10730 [D loss: 0.689635, acc.: 65.62%] [G loss: 0.800193]\n",
            "10731 [D loss: 0.611015, acc.: 71.88%] [G loss: 0.798727]\n",
            "10732 [D loss: 0.666836, acc.: 62.50%] [G loss: 0.812896]\n",
            "10733 [D loss: 0.699993, acc.: 56.25%] [G loss: 0.835015]\n",
            "10734 [D loss: 0.685380, acc.: 56.25%] [G loss: 0.793612]\n",
            "10735 [D loss: 0.657743, acc.: 68.75%] [G loss: 0.720192]\n",
            "10736 [D loss: 0.790996, acc.: 34.38%] [G loss: 0.776535]\n",
            "10737 [D loss: 0.678715, acc.: 56.25%] [G loss: 0.823976]\n",
            "10738 [D loss: 0.667092, acc.: 53.12%] [G loss: 0.785094]\n",
            "10739 [D loss: 0.594941, acc.: 71.88%] [G loss: 0.773986]\n",
            "10740 [D loss: 0.697001, acc.: 59.38%] [G loss: 0.798447]\n",
            "10741 [D loss: 0.664430, acc.: 59.38%] [G loss: 0.796013]\n",
            "10742 [D loss: 0.662977, acc.: 56.25%] [G loss: 0.842654]\n",
            "10743 [D loss: 0.704379, acc.: 50.00%] [G loss: 0.846097]\n",
            "10744 [D loss: 0.635779, acc.: 68.75%] [G loss: 0.880224]\n",
            "10745 [D loss: 0.678228, acc.: 50.00%] [G loss: 0.867278]\n",
            "10746 [D loss: 0.731460, acc.: 40.62%] [G loss: 0.766061]\n",
            "10747 [D loss: 0.698431, acc.: 53.12%] [G loss: 0.818068]\n",
            "10748 [D loss: 0.742907, acc.: 46.88%] [G loss: 0.814572]\n",
            "10749 [D loss: 0.641640, acc.: 59.38%] [G loss: 0.825797]\n",
            "10750 [D loss: 0.645534, acc.: 62.50%] [G loss: 0.826278]\n",
            "10751 [D loss: 0.705655, acc.: 56.25%] [G loss: 0.826042]\n",
            "10752 [D loss: 0.662401, acc.: 62.50%] [G loss: 0.827590]\n",
            "10753 [D loss: 0.730872, acc.: 46.88%] [G loss: 0.810725]\n",
            "10754 [D loss: 0.695712, acc.: 53.12%] [G loss: 0.862691]\n",
            "10755 [D loss: 0.760731, acc.: 34.38%] [G loss: 0.870041]\n",
            "10756 [D loss: 0.694741, acc.: 59.38%] [G loss: 0.847932]\n",
            "10757 [D loss: 0.653347, acc.: 62.50%] [G loss: 0.857474]\n",
            "10758 [D loss: 0.647310, acc.: 65.62%] [G loss: 0.893589]\n",
            "10759 [D loss: 0.710021, acc.: 46.88%] [G loss: 0.848919]\n",
            "10760 [D loss: 0.674561, acc.: 43.75%] [G loss: 0.882766]\n",
            "10761 [D loss: 0.748505, acc.: 46.88%] [G loss: 0.814016]\n",
            "10762 [D loss: 0.721490, acc.: 56.25%] [G loss: 0.771417]\n",
            "10763 [D loss: 0.692304, acc.: 50.00%] [G loss: 0.806125]\n",
            "10764 [D loss: 0.683392, acc.: 53.12%] [G loss: 0.788635]\n",
            "10765 [D loss: 0.676483, acc.: 50.00%] [G loss: 0.792423]\n",
            "10766 [D loss: 0.692831, acc.: 59.38%] [G loss: 0.875461]\n",
            "10767 [D loss: 0.790395, acc.: 34.38%] [G loss: 0.773950]\n",
            "10768 [D loss: 0.674442, acc.: 50.00%] [G loss: 0.849292]\n",
            "10769 [D loss: 0.691035, acc.: 53.12%] [G loss: 0.879299]\n",
            "10770 [D loss: 0.668307, acc.: 65.62%] [G loss: 0.810581]\n",
            "10771 [D loss: 0.715763, acc.: 37.50%] [G loss: 0.825806]\n",
            "10772 [D loss: 0.694547, acc.: 53.12%] [G loss: 0.860260]\n",
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            "10775 [D loss: 0.721285, acc.: 59.38%] [G loss: 0.866527]\n",
            "10776 [D loss: 0.691217, acc.: 50.00%] [G loss: 0.864036]\n",
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            "10778 [D loss: 0.677408, acc.: 56.25%] [G loss: 0.858745]\n",
            "10779 [D loss: 0.697573, acc.: 59.38%] [G loss: 0.779227]\n",
            "10780 [D loss: 0.689460, acc.: 68.75%] [G loss: 0.764102]\n",
            "10781 [D loss: 0.668132, acc.: 59.38%] [G loss: 0.861102]\n",
            "10782 [D loss: 0.692763, acc.: 56.25%] [G loss: 0.773815]\n",
            "10783 [D loss: 0.713604, acc.: 53.12%] [G loss: 0.823437]\n",
            "10784 [D loss: 0.680050, acc.: 59.38%] [G loss: 0.791525]\n",
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            "10789 [D loss: 0.671020, acc.: 65.62%] [G loss: 0.809602]\n",
            "10790 [D loss: 0.657760, acc.: 59.38%] [G loss: 0.855699]\n",
            "10791 [D loss: 0.694288, acc.: 53.12%] [G loss: 0.839674]\n",
            "10792 [D loss: 0.657710, acc.: 62.50%] [G loss: 0.784114]\n",
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            "10794 [D loss: 0.662928, acc.: 59.38%] [G loss: 0.801810]\n",
            "10795 [D loss: 0.702199, acc.: 43.75%] [G loss: 0.796824]\n",
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            "10799 [D loss: 0.721934, acc.: 56.25%] [G loss: 0.816799]\n",
            "10800 [D loss: 0.696890, acc.: 50.00%] [G loss: 0.765103]\n",
            "10801 [D loss: 0.666747, acc.: 62.50%] [G loss: 0.783579]\n",
            "10802 [D loss: 0.676609, acc.: 59.38%] [G loss: 0.772622]\n",
            "10803 [D loss: 0.702981, acc.: 53.12%] [G loss: 0.751118]\n",
            "10804 [D loss: 0.768494, acc.: 37.50%] [G loss: 0.752937]\n",
            "10805 [D loss: 0.712507, acc.: 53.12%] [G loss: 0.744305]\n",
            "10806 [D loss: 0.711043, acc.: 40.62%] [G loss: 0.754552]\n",
            "10807 [D loss: 0.664629, acc.: 62.50%] [G loss: 0.758889]\n",
            "10808 [D loss: 0.625446, acc.: 68.75%] [G loss: 0.806864]\n",
            "10809 [D loss: 0.654987, acc.: 56.25%] [G loss: 0.802080]\n",
            "10810 [D loss: 0.627589, acc.: 65.62%] [G loss: 0.836198]\n",
            "10811 [D loss: 0.683166, acc.: 53.12%] [G loss: 0.851381]\n",
            "10812 [D loss: 0.680802, acc.: 56.25%] [G loss: 0.861899]\n",
            "10813 [D loss: 0.645140, acc.: 62.50%] [G loss: 0.864432]\n",
            "10814 [D loss: 0.671896, acc.: 59.38%] [G loss: 0.877069]\n",
            "10815 [D loss: 0.661034, acc.: 62.50%] [G loss: 0.826226]\n",
            "10816 [D loss: 0.783605, acc.: 34.38%] [G loss: 0.847883]\n",
            "10817 [D loss: 0.680158, acc.: 56.25%] [G loss: 0.818154]\n",
            "10818 [D loss: 0.683128, acc.: 50.00%] [G loss: 0.782486]\n",
            "10819 [D loss: 0.674241, acc.: 62.50%] [G loss: 0.799838]\n",
            "10820 [D loss: 0.733230, acc.: 43.75%] [G loss: 0.797436]\n",
            "10821 [D loss: 0.671818, acc.: 68.75%] [G loss: 0.768279]\n",
            "10822 [D loss: 0.632677, acc.: 75.00%] [G loss: 0.746665]\n",
            "10823 [D loss: 0.694680, acc.: 56.25%] [G loss: 0.807702]\n",
            "10824 [D loss: 0.636687, acc.: 59.38%] [G loss: 0.850712]\n",
            "10825 [D loss: 0.720019, acc.: 53.12%] [G loss: 0.884445]\n",
            "10826 [D loss: 0.668679, acc.: 62.50%] [G loss: 0.784291]\n",
            "10827 [D loss: 0.694189, acc.: 46.88%] [G loss: 0.805163]\n",
            "10828 [D loss: 0.637767, acc.: 71.88%] [G loss: 0.797517]\n",
            "10829 [D loss: 0.729082, acc.: 65.62%] [G loss: 0.838152]\n",
            "10830 [D loss: 0.712570, acc.: 50.00%] [G loss: 0.804021]\n",
            "10831 [D loss: 0.712418, acc.: 53.12%] [G loss: 0.791746]\n",
            "10832 [D loss: 0.682036, acc.: 56.25%] [G loss: 0.844580]\n",
            "10833 [D loss: 0.668674, acc.: 56.25%] [G loss: 0.838207]\n",
            "10834 [D loss: 0.659430, acc.: 68.75%] [G loss: 0.821842]\n",
            "10835 [D loss: 0.649391, acc.: 62.50%] [G loss: 0.796079]\n",
            "10836 [D loss: 0.724850, acc.: 50.00%] [G loss: 0.792946]\n",
            "10837 [D loss: 0.625878, acc.: 62.50%] [G loss: 0.774836]\n",
            "10838 [D loss: 0.641676, acc.: 62.50%] [G loss: 0.755806]\n",
            "10839 [D loss: 0.658896, acc.: 53.12%] [G loss: 0.750634]\n",
            "10840 [D loss: 0.625558, acc.: 62.50%] [G loss: 0.792315]\n",
            "10841 [D loss: 0.689927, acc.: 56.25%] [G loss: 0.799756]\n",
            "10842 [D loss: 0.711383, acc.: 56.25%] [G loss: 0.856435]\n",
            "10843 [D loss: 0.709107, acc.: 46.88%] [G loss: 0.929133]\n",
            "10844 [D loss: 0.726484, acc.: 50.00%] [G loss: 0.841510]\n",
            "10845 [D loss: 0.727235, acc.: 53.12%] [G loss: 0.830943]\n",
            "10846 [D loss: 0.713046, acc.: 46.88%] [G loss: 0.815746]\n",
            "10847 [D loss: 0.681276, acc.: 59.38%] [G loss: 0.820096]\n",
            "10848 [D loss: 0.710344, acc.: 56.25%] [G loss: 0.837331]\n",
            "10849 [D loss: 0.672117, acc.: 65.62%] [G loss: 0.802736]\n",
            "10850 [D loss: 0.718550, acc.: 53.12%] [G loss: 0.812316]\n",
            "10851 [D loss: 0.661979, acc.: 65.62%] [G loss: 0.797539]\n",
            "10852 [D loss: 0.739715, acc.: 50.00%] [G loss: 0.781789]\n",
            "10853 [D loss: 0.667924, acc.: 56.25%] [G loss: 0.775116]\n",
            "10854 [D loss: 0.657082, acc.: 56.25%] [G loss: 0.779916]\n",
            "10855 [D loss: 0.734780, acc.: 53.12%] [G loss: 0.791263]\n",
            "10856 [D loss: 0.663006, acc.: 53.12%] [G loss: 0.822528]\n",
            "10857 [D loss: 0.712484, acc.: 37.50%] [G loss: 0.831123]\n",
            "10858 [D loss: 0.715099, acc.: 46.88%] [G loss: 0.837396]\n",
            "10859 [D loss: 0.679433, acc.: 53.12%] [G loss: 0.837435]\n",
            "10860 [D loss: 0.681552, acc.: 56.25%] [G loss: 0.871229]\n",
            "10861 [D loss: 0.664884, acc.: 68.75%] [G loss: 0.832470]\n",
            "10862 [D loss: 0.708993, acc.: 50.00%] [G loss: 0.781958]\n",
            "10863 [D loss: 0.684742, acc.: 53.12%] [G loss: 0.821595]\n",
            "10864 [D loss: 0.711480, acc.: 56.25%] [G loss: 0.793008]\n",
            "10865 [D loss: 0.726242, acc.: 59.38%] [G loss: 0.798726]\n",
            "10866 [D loss: 0.661584, acc.: 68.75%] [G loss: 0.762595]\n",
            "10867 [D loss: 0.641536, acc.: 62.50%] [G loss: 0.755752]\n",
            "10868 [D loss: 0.643409, acc.: 56.25%] [G loss: 0.758955]\n",
            "10869 [D loss: 0.616358, acc.: 65.62%] [G loss: 0.779547]\n",
            "10870 [D loss: 0.675536, acc.: 59.38%] [G loss: 0.771374]\n",
            "10871 [D loss: 0.648858, acc.: 78.12%] [G loss: 0.803415]\n",
            "10872 [D loss: 0.637580, acc.: 59.38%] [G loss: 0.847361]\n",
            "10873 [D loss: 0.702493, acc.: 50.00%] [G loss: 0.835376]\n",
            "10874 [D loss: 0.721188, acc.: 46.88%] [G loss: 0.749762]\n",
            "10875 [D loss: 0.638343, acc.: 71.88%] [G loss: 0.777194]\n",
            "10876 [D loss: 0.680391, acc.: 56.25%] [G loss: 0.835493]\n",
            "10877 [D loss: 0.735056, acc.: 50.00%] [G loss: 0.746134]\n",
            "10878 [D loss: 0.679895, acc.: 40.62%] [G loss: 0.763979]\n",
            "10879 [D loss: 0.723596, acc.: 53.12%] [G loss: 0.781158]\n",
            "10880 [D loss: 0.661020, acc.: 59.38%] [G loss: 0.792634]\n",
            "10881 [D loss: 0.706749, acc.: 59.38%] [G loss: 0.802368]\n",
            "10882 [D loss: 0.677050, acc.: 62.50%] [G loss: 0.801969]\n",
            "10883 [D loss: 0.618668, acc.: 75.00%] [G loss: 0.820226]\n",
            "10884 [D loss: 0.632281, acc.: 53.12%] [G loss: 0.785319]\n",
            "10885 [D loss: 0.680678, acc.: 59.38%] [G loss: 0.807625]\n",
            "10886 [D loss: 0.718039, acc.: 53.12%] [G loss: 0.788195]\n",
            "10887 [D loss: 0.688174, acc.: 59.38%] [G loss: 0.807560]\n",
            "10888 [D loss: 0.716609, acc.: 46.88%] [G loss: 0.832428]\n",
            "10889 [D loss: 0.728715, acc.: 50.00%] [G loss: 0.760193]\n",
            "10890 [D loss: 0.754757, acc.: 43.75%] [G loss: 0.768175]\n",
            "10891 [D loss: 0.719725, acc.: 37.50%] [G loss: 0.771605]\n",
            "10892 [D loss: 0.706707, acc.: 53.12%] [G loss: 0.806518]\n",
            "10893 [D loss: 0.734776, acc.: 43.75%] [G loss: 0.830156]\n",
            "10894 [D loss: 0.708044, acc.: 53.12%] [G loss: 0.850634]\n",
            "10895 [D loss: 0.693687, acc.: 59.38%] [G loss: 0.825455]\n",
            "10896 [D loss: 0.658473, acc.: 68.75%] [G loss: 0.828937]\n",
            "10897 [D loss: 0.635016, acc.: 65.62%] [G loss: 0.825485]\n",
            "10898 [D loss: 0.695676, acc.: 62.50%] [G loss: 0.790375]\n",
            "10899 [D loss: 0.638242, acc.: 62.50%] [G loss: 0.807919]\n",
            "10900 [D loss: 0.646505, acc.: 59.38%] [G loss: 0.794151]\n",
            "10901 [D loss: 0.760219, acc.: 40.62%] [G loss: 0.780982]\n",
            "10902 [D loss: 0.672185, acc.: 53.12%] [G loss: 0.805622]\n",
            "10903 [D loss: 0.741705, acc.: 53.12%] [G loss: 0.779071]\n",
            "10904 [D loss: 0.637651, acc.: 65.62%] [G loss: 0.842297]\n",
            "10905 [D loss: 0.637436, acc.: 62.50%] [G loss: 0.875780]\n",
            "10906 [D loss: 0.648584, acc.: 62.50%] [G loss: 0.868370]\n",
            "10907 [D loss: 0.645884, acc.: 65.62%] [G loss: 0.871538]\n",
            "10908 [D loss: 0.674389, acc.: 53.12%] [G loss: 0.837780]\n",
            "10909 [D loss: 0.644627, acc.: 50.00%] [G loss: 0.841706]\n",
            "10910 [D loss: 0.672430, acc.: 65.62%] [G loss: 0.853693]\n",
            "10911 [D loss: 0.690508, acc.: 53.12%] [G loss: 0.815327]\n",
            "10912 [D loss: 0.737655, acc.: 43.75%] [G loss: 0.835781]\n",
            "10913 [D loss: 0.685236, acc.: 53.12%] [G loss: 0.843451]\n",
            "10914 [D loss: 0.658285, acc.: 59.38%] [G loss: 0.838649]\n",
            "10915 [D loss: 0.643961, acc.: 65.62%] [G loss: 0.849181]\n",
            "10916 [D loss: 0.638223, acc.: 56.25%] [G loss: 0.788645]\n",
            "10917 [D loss: 0.702822, acc.: 59.38%] [G loss: 0.854850]\n",
            "10918 [D loss: 0.617338, acc.: 65.62%] [G loss: 0.800228]\n",
            "10919 [D loss: 0.692432, acc.: 46.88%] [G loss: 0.809850]\n",
            "10920 [D loss: 0.699841, acc.: 68.75%] [G loss: 0.829107]\n",
            "10921 [D loss: 0.718124, acc.: 43.75%] [G loss: 0.783432]\n",
            "10922 [D loss: 0.686587, acc.: 56.25%] [G loss: 0.809413]\n",
            "10923 [D loss: 0.767203, acc.: 37.50%] [G loss: 0.810419]\n",
            "10924 [D loss: 0.744445, acc.: 37.50%] [G loss: 0.813592]\n",
            "10925 [D loss: 0.692099, acc.: 53.12%] [G loss: 0.835836]\n",
            "10926 [D loss: 0.665828, acc.: 59.38%] [G loss: 0.775679]\n",
            "10927 [D loss: 0.650337, acc.: 56.25%] [G loss: 0.880347]\n",
            "10928 [D loss: 0.789951, acc.: 43.75%] [G loss: 0.865874]\n",
            "10929 [D loss: 0.730265, acc.: 40.62%] [G loss: 0.769682]\n",
            "10930 [D loss: 0.641789, acc.: 62.50%] [G loss: 0.810382]\n",
            "10931 [D loss: 0.608504, acc.: 68.75%] [G loss: 0.829574]\n",
            "10932 [D loss: 0.697019, acc.: 43.75%] [G loss: 0.801374]\n",
            "10933 [D loss: 0.640406, acc.: 56.25%] [G loss: 0.815512]\n",
            "10934 [D loss: 0.682087, acc.: 50.00%] [G loss: 0.815666]\n",
            "10935 [D loss: 0.727597, acc.: 46.88%] [G loss: 0.784206]\n",
            "10936 [D loss: 0.645353, acc.: 68.75%] [G loss: 0.781376]\n",
            "10937 [D loss: 0.679380, acc.: 65.62%] [G loss: 0.795069]\n",
            "10938 [D loss: 0.723277, acc.: 53.12%] [G loss: 0.863698]\n",
            "10939 [D loss: 0.682686, acc.: 65.62%] [G loss: 0.834642]\n",
            "10940 [D loss: 0.751903, acc.: 43.75%] [G loss: 0.732699]\n",
            "10941 [D loss: 0.695529, acc.: 53.12%] [G loss: 0.801103]\n",
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            "10943 [D loss: 0.694688, acc.: 53.12%] [G loss: 0.818089]\n",
            "10944 [D loss: 0.728509, acc.: 43.75%] [G loss: 0.874472]\n",
            "10945 [D loss: 0.680749, acc.: 59.38%] [G loss: 0.856053]\n",
            "10946 [D loss: 0.678367, acc.: 50.00%] [G loss: 0.845999]\n",
            "10947 [D loss: 0.704392, acc.: 59.38%] [G loss: 0.858175]\n",
            "10948 [D loss: 0.670891, acc.: 59.38%] [G loss: 0.798874]\n",
            "10949 [D loss: 0.644186, acc.: 68.75%] [G loss: 0.841428]\n",
            "10950 [D loss: 0.654554, acc.: 56.25%] [G loss: 0.854633]\n",
            "10951 [D loss: 0.655786, acc.: 65.62%] [G loss: 0.841674]\n",
            "10952 [D loss: 0.694505, acc.: 46.88%] [G loss: 0.835023]\n",
            "10953 [D loss: 0.620106, acc.: 71.88%] [G loss: 0.832963]\n",
            "10954 [D loss: 0.745483, acc.: 46.88%] [G loss: 0.784538]\n",
            "10955 [D loss: 0.671029, acc.: 53.12%] [G loss: 0.769486]\n",
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            "10957 [D loss: 0.678644, acc.: 56.25%] [G loss: 0.786827]\n",
            "10958 [D loss: 0.659631, acc.: 62.50%] [G loss: 0.849881]\n",
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            "10960 [D loss: 0.695264, acc.: 59.38%] [G loss: 0.833756]\n",
            "10961 [D loss: 0.717370, acc.: 37.50%] [G loss: 0.829857]\n",
            "10962 [D loss: 0.651101, acc.: 59.38%] [G loss: 0.824735]\n",
            "10963 [D loss: 0.615148, acc.: 71.88%] [G loss: 0.839386]\n",
            "10964 [D loss: 0.715892, acc.: 53.12%] [G loss: 0.829467]\n",
            "10965 [D loss: 0.728154, acc.: 43.75%] [G loss: 0.845467]\n",
            "10966 [D loss: 0.657667, acc.: 62.50%] [G loss: 0.847278]\n",
            "10967 [D loss: 0.672697, acc.: 53.12%] [G loss: 0.842075]\n",
            "10968 [D loss: 0.698245, acc.: 46.88%] [G loss: 0.826395]\n",
            "10969 [D loss: 0.802914, acc.: 40.62%] [G loss: 0.761977]\n",
            "10970 [D loss: 0.650208, acc.: 56.25%] [G loss: 0.789537]\n",
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            "10990 [D loss: 0.653163, acc.: 53.12%] [G loss: 0.867299]\n",
            "10991 [D loss: 0.640767, acc.: 68.75%] [G loss: 0.871745]\n",
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            "11000 [D loss: 0.708292, acc.: 56.25%] [G loss: 0.841327]\n",
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            "11085 [D loss: 0.604228, acc.: 71.88%] [G loss: 0.824801]\n",
            "11086 [D loss: 0.661208, acc.: 56.25%] [G loss: 0.831745]\n",
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            "11089 [D loss: 0.592861, acc.: 75.00%] [G loss: 0.865285]\n",
            "11090 [D loss: 0.694592, acc.: 46.88%] [G loss: 0.798701]\n",
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            "11093 [D loss: 0.721649, acc.: 40.62%] [G loss: 0.832188]\n",
            "11094 [D loss: 0.728867, acc.: 59.38%] [G loss: 0.799707]\n",
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            "11100 [D loss: 0.626758, acc.: 62.50%] [G loss: 0.800027]\n",
            "11101 [D loss: 0.700239, acc.: 43.75%] [G loss: 0.848575]\n",
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            "11105 [D loss: 0.761632, acc.: 46.88%] [G loss: 0.742159]\n",
            "11106 [D loss: 0.713047, acc.: 50.00%] [G loss: 0.803219]\n",
            "11107 [D loss: 0.708945, acc.: 43.75%] [G loss: 0.815582]\n",
            "11108 [D loss: 0.736218, acc.: 53.12%] [G loss: 0.898052]\n",
            "11109 [D loss: 0.740348, acc.: 40.62%] [G loss: 0.853961]\n",
            "11110 [D loss: 0.649634, acc.: 62.50%] [G loss: 0.871342]\n",
            "11111 [D loss: 0.672245, acc.: 53.12%] [G loss: 0.801134]\n",
            "11112 [D loss: 0.681858, acc.: 53.12%] [G loss: 0.847712]\n",
            "11113 [D loss: 0.656739, acc.: 59.38%] [G loss: 0.850707]\n",
            "11114 [D loss: 0.669493, acc.: 56.25%] [G loss: 0.817660]\n",
            "11115 [D loss: 0.684197, acc.: 53.12%] [G loss: 0.775977]\n",
            "11116 [D loss: 0.638991, acc.: 65.62%] [G loss: 0.779213]\n",
            "11117 [D loss: 0.646224, acc.: 59.38%] [G loss: 0.823025]\n",
            "11118 [D loss: 0.705590, acc.: 43.75%] [G loss: 0.727591]\n",
            "11119 [D loss: 0.699999, acc.: 56.25%] [G loss: 0.759878]\n",
            "11120 [D loss: 0.742232, acc.: 46.88%] [G loss: 0.760460]\n",
            "11121 [D loss: 0.710146, acc.: 50.00%] [G loss: 0.765766]\n",
            "11122 [D loss: 0.698063, acc.: 59.38%] [G loss: 0.823335]\n",
            "11123 [D loss: 0.697859, acc.: 50.00%] [G loss: 0.758635]\n",
            "11124 [D loss: 0.628507, acc.: 71.88%] [G loss: 0.779303]\n",
            "11125 [D loss: 0.686758, acc.: 53.12%] [G loss: 0.819275]\n",
            "11126 [D loss: 0.690759, acc.: 40.62%] [G loss: 0.797706]\n",
            "11127 [D loss: 0.702056, acc.: 50.00%] [G loss: 0.811893]\n",
            "11128 [D loss: 0.675584, acc.: 59.38%] [G loss: 0.788602]\n",
            "11129 [D loss: 0.630569, acc.: 50.00%] [G loss: 0.782655]\n",
            "11130 [D loss: 0.713671, acc.: 62.50%] [G loss: 0.849467]\n",
            "11131 [D loss: 0.694090, acc.: 43.75%] [G loss: 0.824201]\n",
            "11132 [D loss: 0.669757, acc.: 59.38%] [G loss: 0.837825]\n",
            "11133 [D loss: 0.730952, acc.: 50.00%] [G loss: 0.863540]\n",
            "11134 [D loss: 0.677475, acc.: 59.38%] [G loss: 0.892609]\n",
            "11135 [D loss: 0.689624, acc.: 56.25%] [G loss: 0.827783]\n",
            "11136 [D loss: 0.682086, acc.: 46.88%] [G loss: 0.804729]\n",
            "11137 [D loss: 0.650156, acc.: 68.75%] [G loss: 0.846317]\n",
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            "11139 [D loss: 0.682614, acc.: 62.50%] [G loss: 0.837784]\n",
            "11140 [D loss: 0.701184, acc.: 50.00%] [G loss: 0.814985]\n",
            "11141 [D loss: 0.716276, acc.: 43.75%] [G loss: 0.856572]\n",
            "11142 [D loss: 0.673027, acc.: 62.50%] [G loss: 0.799249]\n",
            "11143 [D loss: 0.694068, acc.: 50.00%] [G loss: 0.760563]\n",
            "11144 [D loss: 0.654388, acc.: 65.62%] [G loss: 0.796036]\n",
            "11145 [D loss: 0.664910, acc.: 62.50%] [G loss: 0.802656]\n",
            "11146 [D loss: 0.668835, acc.: 59.38%] [G loss: 0.753290]\n",
            "11147 [D loss: 0.672930, acc.: 53.12%] [G loss: 0.852786]\n",
            "11148 [D loss: 0.646988, acc.: 62.50%] [G loss: 0.785116]\n",
            "11149 [D loss: 0.668705, acc.: 56.25%] [G loss: 0.765436]\n",
            "11150 [D loss: 0.662039, acc.: 59.38%] [G loss: 0.780706]\n",
            "11151 [D loss: 0.673156, acc.: 62.50%] [G loss: 0.785446]\n",
            "11152 [D loss: 0.705560, acc.: 50.00%] [G loss: 0.795848]\n",
            "11153 [D loss: 0.630009, acc.: 59.38%] [G loss: 0.723960]\n",
            "11154 [D loss: 0.643352, acc.: 62.50%] [G loss: 0.798530]\n",
            "11155 [D loss: 0.687207, acc.: 62.50%] [G loss: 0.794932]\n",
            "11156 [D loss: 0.643159, acc.: 75.00%] [G loss: 0.773408]\n",
            "11157 [D loss: 0.802468, acc.: 37.50%] [G loss: 0.774718]\n",
            "11158 [D loss: 0.698276, acc.: 53.12%] [G loss: 0.807244]\n",
            "11159 [D loss: 0.656075, acc.: 71.88%] [G loss: 0.843793]\n",
            "11160 [D loss: 0.664255, acc.: 56.25%] [G loss: 0.854626]\n",
            "11161 [D loss: 0.576034, acc.: 75.00%] [G loss: 0.822184]\n",
            "11162 [D loss: 0.736727, acc.: 56.25%] [G loss: 0.827737]\n",
            "11163 [D loss: 0.637843, acc.: 68.75%] [G loss: 0.863030]\n",
            "11164 [D loss: 0.692996, acc.: 56.25%] [G loss: 0.791683]\n",
            "11165 [D loss: 0.648922, acc.: 71.88%] [G loss: 0.798559]\n",
            "11166 [D loss: 0.741147, acc.: 40.62%] [G loss: 0.788528]\n",
            "11167 [D loss: 0.649092, acc.: 68.75%] [G loss: 0.804629]\n",
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            "11169 [D loss: 0.737683, acc.: 40.62%] [G loss: 0.829142]\n",
            "11170 [D loss: 0.662857, acc.: 56.25%] [G loss: 0.919051]\n",
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            "11173 [D loss: 0.702217, acc.: 46.88%] [G loss: 0.764535]\n",
            "11174 [D loss: 0.714168, acc.: 50.00%] [G loss: 0.784293]\n",
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            "11176 [D loss: 0.637002, acc.: 68.75%] [G loss: 0.836450]\n",
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            "11179 [D loss: 0.655155, acc.: 62.50%] [G loss: 0.799130]\n",
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            "11182 [D loss: 0.614464, acc.: 81.25%] [G loss: 0.806204]\n",
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            "11280 [D loss: 0.642716, acc.: 53.12%] [G loss: 0.844299]\n",
            "11281 [D loss: 0.678872, acc.: 50.00%] [G loss: 0.840562]\n",
            "11282 [D loss: 0.734708, acc.: 40.62%] [G loss: 0.856176]\n",
            "11283 [D loss: 0.708915, acc.: 53.12%] [G loss: 0.835300]\n",
            "11284 [D loss: 0.707048, acc.: 37.50%] [G loss: 0.828277]\n",
            "11285 [D loss: 0.645496, acc.: 62.50%] [G loss: 0.797160]\n",
            "11286 [D loss: 0.593120, acc.: 71.88%] [G loss: 0.852077]\n",
            "11287 [D loss: 0.646717, acc.: 62.50%] [G loss: 0.802525]\n",
            "11288 [D loss: 0.673297, acc.: 50.00%] [G loss: 0.823083]\n",
            "11289 [D loss: 0.640311, acc.: 65.62%] [G loss: 0.804812]\n",
            "11290 [D loss: 0.669298, acc.: 59.38%] [G loss: 0.803227]\n",
            "11291 [D loss: 0.700763, acc.: 53.12%] [G loss: 0.799878]\n",
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            "11293 [D loss: 0.657044, acc.: 68.75%] [G loss: 0.807365]\n",
            "11294 [D loss: 0.702050, acc.: 56.25%] [G loss: 0.805180]\n",
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            "11296 [D loss: 0.758446, acc.: 43.75%] [G loss: 0.835992]\n",
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            "11298 [D loss: 0.707883, acc.: 53.12%] [G loss: 0.879618]\n",
            "11299 [D loss: 0.633052, acc.: 62.50%] [G loss: 0.920607]\n",
            "11300 [D loss: 0.639174, acc.: 65.62%] [G loss: 0.936482]\n",
            "11301 [D loss: 0.729210, acc.: 43.75%] [G loss: 0.902457]\n",
            "11302 [D loss: 0.694457, acc.: 59.38%] [G loss: 0.889017]\n",
            "11303 [D loss: 0.634607, acc.: 65.62%] [G loss: 0.870184]\n",
            "11304 [D loss: 0.740643, acc.: 50.00%] [G loss: 0.820213]\n",
            "11305 [D loss: 0.737098, acc.: 50.00%] [G loss: 0.803928]\n",
            "11306 [D loss: 0.689370, acc.: 56.25%] [G loss: 0.876200]\n",
            "11307 [D loss: 0.695199, acc.: 59.38%] [G loss: 0.872542]\n",
            "11308 [D loss: 0.662865, acc.: 59.38%] [G loss: 0.889048]\n",
            "11309 [D loss: 0.667186, acc.: 59.38%] [G loss: 0.855455]\n",
            "11310 [D loss: 0.658173, acc.: 59.38%] [G loss: 0.818946]\n",
            "11311 [D loss: 0.602685, acc.: 78.12%] [G loss: 0.873091]\n",
            "11312 [D loss: 0.747617, acc.: 50.00%] [G loss: 0.860989]\n",
            "11313 [D loss: 0.709696, acc.: 56.25%] [G loss: 0.792143]\n",
            "11314 [D loss: 0.661772, acc.: 62.50%] [G loss: 0.803476]\n",
            "11315 [D loss: 0.666922, acc.: 59.38%] [G loss: 0.808316]\n",
            "11316 [D loss: 0.642859, acc.: 59.38%] [G loss: 0.793125]\n",
            "11317 [D loss: 0.726931, acc.: 50.00%] [G loss: 0.826235]\n",
            "11318 [D loss: 0.646675, acc.: 56.25%] [G loss: 0.828383]\n",
            "11319 [D loss: 0.747613, acc.: 50.00%] [G loss: 0.795957]\n",
            "11320 [D loss: 0.620366, acc.: 78.12%] [G loss: 0.767140]\n",
            "11321 [D loss: 0.713466, acc.: 46.88%] [G loss: 0.843292]\n",
            "11322 [D loss: 0.612342, acc.: 65.62%] [G loss: 0.770257]\n",
            "11323 [D loss: 0.577494, acc.: 78.12%] [G loss: 0.748716]\n",
            "11324 [D loss: 0.613242, acc.: 68.75%] [G loss: 0.712195]\n",
            "11325 [D loss: 0.784948, acc.: 34.38%] [G loss: 0.814131]\n",
            "11326 [D loss: 0.590806, acc.: 78.12%] [G loss: 0.804627]\n",
            "11327 [D loss: 0.714969, acc.: 40.62%] [G loss: 0.794274]\n",
            "11328 [D loss: 0.619060, acc.: 75.00%] [G loss: 0.778072]\n",
            "11329 [D loss: 0.656210, acc.: 65.62%] [G loss: 0.869882]\n",
            "11330 [D loss: 0.657612, acc.: 43.75%] [G loss: 0.797431]\n",
            "11331 [D loss: 0.647251, acc.: 62.50%] [G loss: 0.858496]\n",
            "11332 [D loss: 0.713688, acc.: 56.25%] [G loss: 0.828987]\n",
            "11333 [D loss: 0.742248, acc.: 37.50%] [G loss: 0.810690]\n",
            "11334 [D loss: 0.686917, acc.: 62.50%] [G loss: 0.793369]\n",
            "11335 [D loss: 0.676439, acc.: 56.25%] [G loss: 0.796991]\n",
            "11336 [D loss: 0.697895, acc.: 53.12%] [G loss: 0.802143]\n",
            "11337 [D loss: 0.657530, acc.: 56.25%] [G loss: 0.849052]\n",
            "11338 [D loss: 0.629201, acc.: 65.62%] [G loss: 0.834906]\n",
            "11339 [D loss: 0.711844, acc.: 43.75%] [G loss: 0.855027]\n",
            "11340 [D loss: 0.609690, acc.: 68.75%] [G loss: 0.907912]\n",
            "11341 [D loss: 0.681426, acc.: 62.50%] [G loss: 0.895190]\n",
            "11342 [D loss: 0.717833, acc.: 53.12%] [G loss: 0.833538]\n",
            "11343 [D loss: 0.713076, acc.: 53.12%] [G loss: 0.843760]\n",
            "11344 [D loss: 0.662114, acc.: 71.88%] [G loss: 0.774629]\n",
            "11345 [D loss: 0.718424, acc.: 53.12%] [G loss: 0.832087]\n",
            "11346 [D loss: 0.701607, acc.: 53.12%] [G loss: 0.777306]\n",
            "11347 [D loss: 0.690029, acc.: 59.38%] [G loss: 0.785243]\n",
            "11348 [D loss: 0.682405, acc.: 50.00%] [G loss: 0.823167]\n",
            "11349 [D loss: 0.756693, acc.: 34.38%] [G loss: 0.787838]\n",
            "11350 [D loss: 0.687143, acc.: 56.25%] [G loss: 0.786080]\n",
            "11351 [D loss: 0.658874, acc.: 56.25%] [G loss: 0.778773]\n",
            "11352 [D loss: 0.705183, acc.: 53.12%] [G loss: 0.782112]\n",
            "11353 [D loss: 0.691202, acc.: 59.38%] [G loss: 0.788082]\n",
            "11354 [D loss: 0.648389, acc.: 65.62%] [G loss: 0.791790]\n",
            "11355 [D loss: 0.654163, acc.: 65.62%] [G loss: 0.827118]\n",
            "11356 [D loss: 0.722348, acc.: 56.25%] [G loss: 0.811689]\n",
            "11357 [D loss: 0.698397, acc.: 65.62%] [G loss: 0.752765]\n",
            "11358 [D loss: 0.721240, acc.: 56.25%] [G loss: 0.793189]\n",
            "11359 [D loss: 0.675649, acc.: 62.50%] [G loss: 0.817277]\n",
            "11360 [D loss: 0.593661, acc.: 71.88%] [G loss: 0.785533]\n",
            "11361 [D loss: 0.742300, acc.: 50.00%] [G loss: 0.846584]\n",
            "11362 [D loss: 0.670904, acc.: 68.75%] [G loss: 0.854886]\n",
            "11363 [D loss: 0.729897, acc.: 56.25%] [G loss: 0.872782]\n",
            "11364 [D loss: 0.735294, acc.: 50.00%] [G loss: 0.810956]\n",
            "11365 [D loss: 0.748233, acc.: 46.88%] [G loss: 0.832391]\n",
            "11366 [D loss: 0.724787, acc.: 43.75%] [G loss: 0.769984]\n",
            "11367 [D loss: 0.708245, acc.: 62.50%] [G loss: 0.808705]\n",
            "11368 [D loss: 0.638907, acc.: 59.38%] [G loss: 0.785847]\n",
            "11369 [D loss: 0.734091, acc.: 40.62%] [G loss: 0.810299]\n",
            "11370 [D loss: 0.732930, acc.: 43.75%] [G loss: 0.778238]\n",
            "11371 [D loss: 0.649363, acc.: 68.75%] [G loss: 0.775383]\n",
            "11372 [D loss: 0.725848, acc.: 53.12%] [G loss: 0.777154]\n",
            "11373 [D loss: 0.757621, acc.: 46.88%] [G loss: 0.816443]\n",
            "11374 [D loss: 0.720114, acc.: 53.12%] [G loss: 0.773683]\n",
            "11375 [D loss: 0.692459, acc.: 53.12%] [G loss: 0.749495]\n",
            "11376 [D loss: 0.681143, acc.: 53.12%] [G loss: 0.797908]\n",
            "11377 [D loss: 0.652711, acc.: 65.62%] [G loss: 0.788812]\n",
            "11378 [D loss: 0.737467, acc.: 43.75%] [G loss: 0.791142]\n",
            "11379 [D loss: 0.669551, acc.: 50.00%] [G loss: 0.813219]\n",
            "11380 [D loss: 0.687511, acc.: 56.25%] [G loss: 0.794255]\n",
            "11381 [D loss: 0.735499, acc.: 53.12%] [G loss: 0.864668]\n",
            "11382 [D loss: 0.649420, acc.: 71.88%] [G loss: 0.890654]\n",
            "11383 [D loss: 0.674612, acc.: 65.62%] [G loss: 0.798976]\n",
            "11384 [D loss: 0.755019, acc.: 46.88%] [G loss: 0.780867]\n",
            "11385 [D loss: 0.654856, acc.: 68.75%] [G loss: 0.833864]\n",
            "11386 [D loss: 0.688482, acc.: 56.25%] [G loss: 0.832253]\n",
            "11387 [D loss: 0.674082, acc.: 56.25%] [G loss: 0.851245]\n",
            "11388 [D loss: 0.637674, acc.: 59.38%] [G loss: 0.871563]\n",
            "11389 [D loss: 0.678134, acc.: 56.25%] [G loss: 0.870241]\n",
            "11390 [D loss: 0.676805, acc.: 62.50%] [G loss: 0.793247]\n",
            "11391 [D loss: 0.733671, acc.: 40.62%] [G loss: 0.765392]\n",
            "11392 [D loss: 0.689832, acc.: 53.12%] [G loss: 0.745408]\n",
            "11393 [D loss: 0.720283, acc.: 46.88%] [G loss: 0.796116]\n",
            "11394 [D loss: 0.720743, acc.: 56.25%] [G loss: 0.825544]\n",
            "11395 [D loss: 0.738202, acc.: 50.00%] [G loss: 0.824923]\n",
            "11396 [D loss: 0.684741, acc.: 59.38%] [G loss: 0.808841]\n",
            "11397 [D loss: 0.667133, acc.: 68.75%] [G loss: 0.902272]\n",
            "11398 [D loss: 0.671561, acc.: 56.25%] [G loss: 0.903267]\n",
            "11399 [D loss: 0.637633, acc.: 68.75%] [G loss: 0.843494]\n",
            "11400 [D loss: 0.639180, acc.: 62.50%] [G loss: 0.879757]\n",
            "11401 [D loss: 0.746826, acc.: 46.88%] [G loss: 0.807567]\n",
            "11402 [D loss: 0.722726, acc.: 53.12%] [G loss: 0.780135]\n",
            "11403 [D loss: 0.702507, acc.: 50.00%] [G loss: 0.767467]\n",
            "11404 [D loss: 0.618083, acc.: 68.75%] [G loss: 0.779360]\n",
            "11405 [D loss: 0.683829, acc.: 59.38%] [G loss: 0.727556]\n",
            "11406 [D loss: 0.733657, acc.: 46.88%] [G loss: 0.772580]\n",
            "11407 [D loss: 0.708420, acc.: 56.25%] [G loss: 0.763089]\n",
            "11408 [D loss: 0.681579, acc.: 56.25%] [G loss: 0.754844]\n",
            "11409 [D loss: 0.756319, acc.: 46.88%] [G loss: 0.789464]\n",
            "11410 [D loss: 0.703949, acc.: 53.12%] [G loss: 0.790141]\n",
            "11411 [D loss: 0.712378, acc.: 56.25%] [G loss: 0.742117]\n",
            "11412 [D loss: 0.682439, acc.: 53.12%] [G loss: 0.769067]\n",
            "11413 [D loss: 0.732689, acc.: 50.00%] [G loss: 0.761900]\n",
            "11414 [D loss: 0.645135, acc.: 59.38%] [G loss: 0.802034]\n",
            "11415 [D loss: 0.693618, acc.: 50.00%] [G loss: 0.760575]\n",
            "11416 [D loss: 0.684245, acc.: 62.50%] [G loss: 0.784373]\n",
            "11417 [D loss: 0.708026, acc.: 53.12%] [G loss: 0.815708]\n",
            "11418 [D loss: 0.732059, acc.: 53.12%] [G loss: 0.822531]\n",
            "11419 [D loss: 0.705231, acc.: 59.38%] [G loss: 0.793863]\n",
            "11420 [D loss: 0.721979, acc.: 46.88%] [G loss: 0.812224]\n",
            "11421 [D loss: 0.727739, acc.: 50.00%] [G loss: 0.784042]\n",
            "11422 [D loss: 0.644371, acc.: 62.50%] [G loss: 0.869627]\n",
            "11423 [D loss: 0.724556, acc.: 40.62%] [G loss: 0.793140]\n",
            "11424 [D loss: 0.651014, acc.: 62.50%] [G loss: 0.868211]\n",
            "11425 [D loss: 0.670983, acc.: 53.12%] [G loss: 0.865922]\n",
            "11426 [D loss: 0.662292, acc.: 62.50%] [G loss: 0.930625]\n",
            "11427 [D loss: 0.663174, acc.: 50.00%] [G loss: 0.844608]\n",
            "11428 [D loss: 0.711355, acc.: 50.00%] [G loss: 0.826012]\n",
            "11429 [D loss: 0.649203, acc.: 65.62%] [G loss: 0.774108]\n",
            "11430 [D loss: 0.666844, acc.: 59.38%] [G loss: 0.827008]\n",
            "11431 [D loss: 0.616232, acc.: 68.75%] [G loss: 0.781347]\n",
            "11432 [D loss: 0.710948, acc.: 50.00%] [G loss: 0.800824]\n",
            "11433 [D loss: 0.738622, acc.: 46.88%] [G loss: 0.830535]\n",
            "11434 [D loss: 0.754655, acc.: 40.62%] [G loss: 0.822294]\n",
            "11435 [D loss: 0.663233, acc.: 62.50%] [G loss: 0.838003]\n",
            "11436 [D loss: 0.679662, acc.: 65.62%] [G loss: 0.775302]\n",
            "11437 [D loss: 0.711832, acc.: 46.88%] [G loss: 0.795054]\n",
            "11438 [D loss: 0.696738, acc.: 50.00%] [G loss: 0.749514]\n",
            "11439 [D loss: 0.675577, acc.: 53.12%] [G loss: 0.746295]\n",
            "11440 [D loss: 0.744613, acc.: 43.75%] [G loss: 0.800712]\n",
            "11441 [D loss: 0.713975, acc.: 50.00%] [G loss: 0.814579]\n",
            "11442 [D loss: 0.677252, acc.: 53.12%] [G loss: 0.779023]\n",
            "11443 [D loss: 0.697057, acc.: 46.88%] [G loss: 0.799303]\n",
            "11444 [D loss: 0.659436, acc.: 53.12%] [G loss: 0.825254]\n",
            "11445 [D loss: 0.665313, acc.: 53.12%] [G loss: 0.780175]\n",
            "11446 [D loss: 0.846112, acc.: 31.25%] [G loss: 0.773228]\n",
            "11447 [D loss: 0.768929, acc.: 40.62%] [G loss: 0.709233]\n",
            "11448 [D loss: 0.740881, acc.: 43.75%] [G loss: 0.761939]\n",
            "11449 [D loss: 0.710848, acc.: 53.12%] [G loss: 0.790493]\n",
            "11450 [D loss: 0.742891, acc.: 50.00%] [G loss: 0.830771]\n",
            "11451 [D loss: 0.717365, acc.: 56.25%] [G loss: 0.825874]\n",
            "11452 [D loss: 0.719712, acc.: 50.00%] [G loss: 0.849508]\n",
            "11453 [D loss: 0.654545, acc.: 56.25%] [G loss: 0.876467]\n",
            "11454 [D loss: 0.662978, acc.: 56.25%] [G loss: 0.826166]\n",
            "11455 [D loss: 0.650928, acc.: 65.62%] [G loss: 0.859658]\n",
            "11456 [D loss: 0.686212, acc.: 53.12%] [G loss: 0.819960]\n",
            "11457 [D loss: 0.674111, acc.: 59.38%] [G loss: 0.780407]\n",
            "11458 [D loss: 0.664815, acc.: 62.50%] [G loss: 0.844821]\n",
            "11459 [D loss: 0.617132, acc.: 68.75%] [G loss: 0.821381]\n",
            "11460 [D loss: 0.695631, acc.: 56.25%] [G loss: 0.875536]\n",
            "11461 [D loss: 0.660992, acc.: 65.62%] [G loss: 0.795833]\n",
            "11462 [D loss: 0.667044, acc.: 68.75%] [G loss: 0.835257]\n",
            "11463 [D loss: 0.708384, acc.: 56.25%] [G loss: 0.828870]\n",
            "11464 [D loss: 0.671464, acc.: 59.38%] [G loss: 0.783146]\n",
            "11465 [D loss: 0.646052, acc.: 71.88%] [G loss: 0.771858]\n",
            "11466 [D loss: 0.688687, acc.: 50.00%] [G loss: 0.770802]\n",
            "11467 [D loss: 0.692150, acc.: 59.38%] [G loss: 0.762651]\n",
            "11468 [D loss: 0.683542, acc.: 53.12%] [G loss: 0.814567]\n",
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            "11470 [D loss: 0.630826, acc.: 59.38%] [G loss: 0.718013]\n",
            "11471 [D loss: 0.692805, acc.: 53.12%] [G loss: 0.727729]\n",
            "11472 [D loss: 0.659542, acc.: 68.75%] [G loss: 0.823704]\n",
            "11473 [D loss: 0.761726, acc.: 37.50%] [G loss: 0.750197]\n",
            "11474 [D loss: 0.729590, acc.: 46.88%] [G loss: 0.734102]\n",
            "11475 [D loss: 0.717781, acc.: 43.75%] [G loss: 0.764273]\n",
            "11476 [D loss: 0.651013, acc.: 62.50%] [G loss: 0.766491]\n",
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            "11480 [D loss: 0.651527, acc.: 62.50%] [G loss: 0.816523]\n",
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            "11482 [D loss: 0.748303, acc.: 40.62%] [G loss: 0.771259]\n",
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            "11484 [D loss: 0.703316, acc.: 59.38%] [G loss: 0.785600]\n",
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            "11487 [D loss: 0.683019, acc.: 46.88%] [G loss: 0.825735]\n",
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            "11489 [D loss: 0.582701, acc.: 78.12%] [G loss: 0.825637]\n",
            "11490 [D loss: 0.665795, acc.: 59.38%] [G loss: 0.849286]\n",
            "11491 [D loss: 0.727997, acc.: 59.38%] [G loss: 0.801461]\n",
            "11492 [D loss: 0.723558, acc.: 46.88%] [G loss: 0.787279]\n",
            "11493 [D loss: 0.698216, acc.: 56.25%] [G loss: 0.774413]\n",
            "11494 [D loss: 0.604981, acc.: 78.12%] [G loss: 0.830759]\n",
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            "11496 [D loss: 0.659685, acc.: 62.50%] [G loss: 0.762428]\n",
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            "11500 [D loss: 0.683541, acc.: 56.25%] [G loss: 0.831838]\n",
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            "11502 [D loss: 0.758276, acc.: 50.00%] [G loss: 0.773120]\n",
            "11503 [D loss: 0.667716, acc.: 65.62%] [G loss: 0.843608]\n",
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            "11507 [D loss: 0.650373, acc.: 75.00%] [G loss: 0.799593]\n",
            "11508 [D loss: 0.701286, acc.: 59.38%] [G loss: 0.765868]\n",
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            "11510 [D loss: 0.663493, acc.: 56.25%] [G loss: 0.819284]\n",
            "11511 [D loss: 0.684721, acc.: 62.50%] [G loss: 0.793408]\n",
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            "11513 [D loss: 0.671091, acc.: 65.62%] [G loss: 0.780918]\n",
            "11514 [D loss: 0.759196, acc.: 37.50%] [G loss: 0.830534]\n",
            "11515 [D loss: 0.674845, acc.: 65.62%] [G loss: 0.829226]\n",
            "11516 [D loss: 0.738757, acc.: 43.75%] [G loss: 0.866418]\n",
            "11517 [D loss: 0.677877, acc.: 59.38%] [G loss: 0.783370]\n",
            "11518 [D loss: 0.659050, acc.: 71.88%] [G loss: 0.831059]\n",
            "11519 [D loss: 0.655213, acc.: 68.75%] [G loss: 0.852025]\n",
            "11520 [D loss: 0.770287, acc.: 40.62%] [G loss: 0.772174]\n",
            "11521 [D loss: 0.699188, acc.: 53.12%] [G loss: 0.820806]\n",
            "11522 [D loss: 0.754350, acc.: 43.75%] [G loss: 0.805474]\n",
            "11523 [D loss: 0.744164, acc.: 43.75%] [G loss: 0.837131]\n",
            "11524 [D loss: 0.596988, acc.: 75.00%] [G loss: 0.858264]\n",
            "11525 [D loss: 0.629096, acc.: 53.12%] [G loss: 0.815874]\n",
            "11526 [D loss: 0.693413, acc.: 59.38%] [G loss: 0.839098]\n",
            "11527 [D loss: 0.676903, acc.: 59.38%] [G loss: 0.798135]\n",
            "11528 [D loss: 0.711848, acc.: 53.12%] [G loss: 0.804744]\n",
            "11529 [D loss: 0.666877, acc.: 53.12%] [G loss: 0.798245]\n",
            "11530 [D loss: 0.757629, acc.: 37.50%] [G loss: 0.844003]\n",
            "11531 [D loss: 0.654298, acc.: 65.62%] [G loss: 0.842021]\n",
            "11532 [D loss: 0.632774, acc.: 68.75%] [G loss: 0.909576]\n",
            "11533 [D loss: 0.641961, acc.: 65.62%] [G loss: 0.868934]\n",
            "11534 [D loss: 0.664638, acc.: 62.50%] [G loss: 0.903056]\n",
            "11535 [D loss: 0.721554, acc.: 53.12%] [G loss: 0.900848]\n",
            "11536 [D loss: 0.678204, acc.: 59.38%] [G loss: 0.835807]\n",
            "11537 [D loss: 0.660812, acc.: 62.50%] [G loss: 0.845470]\n",
            "11538 [D loss: 0.613410, acc.: 62.50%] [G loss: 0.851068]\n",
            "11539 [D loss: 0.690753, acc.: 56.25%] [G loss: 0.861985]\n",
            "11540 [D loss: 0.625931, acc.: 71.88%] [G loss: 0.854699]\n",
            "11541 [D loss: 0.686882, acc.: 53.12%] [G loss: 0.889515]\n",
            "11542 [D loss: 0.689998, acc.: 59.38%] [G loss: 0.878183]\n",
            "11543 [D loss: 0.668944, acc.: 62.50%] [G loss: 0.851309]\n",
            "11544 [D loss: 0.669002, acc.: 59.38%] [G loss: 0.776771]\n",
            "11545 [D loss: 0.696056, acc.: 56.25%] [G loss: 0.744939]\n",
            "11546 [D loss: 0.698535, acc.: 50.00%] [G loss: 0.752151]\n",
            "11547 [D loss: 0.617502, acc.: 65.62%] [G loss: 0.830444]\n",
            "11548 [D loss: 0.671490, acc.: 53.12%] [G loss: 0.794277]\n",
            "11549 [D loss: 0.719462, acc.: 46.88%] [G loss: 0.819184]\n",
            "11550 [D loss: 0.754126, acc.: 40.62%] [G loss: 0.757133]\n",
            "11551 [D loss: 0.702723, acc.: 62.50%] [G loss: 0.795866]\n",
            "11552 [D loss: 0.748943, acc.: 43.75%] [G loss: 0.817287]\n",
            "11553 [D loss: 0.644191, acc.: 68.75%] [G loss: 0.834674]\n",
            "11554 [D loss: 0.660158, acc.: 56.25%] [G loss: 0.836451]\n",
            "11555 [D loss: 0.739457, acc.: 46.88%] [G loss: 0.855072]\n",
            "11556 [D loss: 0.656129, acc.: 68.75%] [G loss: 0.822578]\n",
            "11557 [D loss: 0.678570, acc.: 50.00%] [G loss: 0.832034]\n",
            "11558 [D loss: 0.715616, acc.: 46.88%] [G loss: 0.796195]\n",
            "11559 [D loss: 0.655300, acc.: 62.50%] [G loss: 0.789051]\n",
            "11560 [D loss: 0.603216, acc.: 75.00%] [G loss: 0.854725]\n",
            "11561 [D loss: 0.676618, acc.: 56.25%] [G loss: 0.792637]\n",
            "11562 [D loss: 0.654362, acc.: 71.88%] [G loss: 0.871526]\n",
            "11563 [D loss: 0.688197, acc.: 56.25%] [G loss: 0.832993]\n",
            "11564 [D loss: 0.646438, acc.: 53.12%] [G loss: 0.828274]\n",
            "11565 [D loss: 0.705280, acc.: 53.12%] [G loss: 0.796469]\n",
            "11566 [D loss: 0.634857, acc.: 65.62%] [G loss: 0.782808]\n",
            "11567 [D loss: 0.645966, acc.: 65.62%] [G loss: 0.770560]\n",
            "11568 [D loss: 0.699207, acc.: 59.38%] [G loss: 0.796438]\n",
            "11569 [D loss: 0.609559, acc.: 71.88%] [G loss: 0.795189]\n",
            "11570 [D loss: 0.661058, acc.: 56.25%] [G loss: 0.803575]\n",
            "11571 [D loss: 0.728831, acc.: 50.00%] [G loss: 0.819097]\n",
            "11572 [D loss: 0.653429, acc.: 56.25%] [G loss: 0.874318]\n",
            "11573 [D loss: 0.629671, acc.: 78.12%] [G loss: 0.890221]\n",
            "11574 [D loss: 0.732376, acc.: 46.88%] [G loss: 0.862579]\n",
            "11575 [D loss: 0.658259, acc.: 62.50%] [G loss: 0.788320]\n",
            "11576 [D loss: 0.677763, acc.: 65.62%] [G loss: 0.838323]\n",
            "11577 [D loss: 0.711404, acc.: 43.75%] [G loss: 0.872802]\n",
            "11578 [D loss: 0.669814, acc.: 53.12%] [G loss: 0.801158]\n",
            "11579 [D loss: 0.651933, acc.: 56.25%] [G loss: 0.794849]\n",
            "11580 [D loss: 0.677708, acc.: 53.12%] [G loss: 0.749942]\n",
            "11581 [D loss: 0.709621, acc.: 34.38%] [G loss: 0.758535]\n",
            "11582 [D loss: 0.679250, acc.: 56.25%] [G loss: 0.817622]\n",
            "11583 [D loss: 0.667955, acc.: 56.25%] [G loss: 0.827089]\n",
            "11584 [D loss: 0.787015, acc.: 43.75%] [G loss: 0.839841]\n",
            "11585 [D loss: 0.660315, acc.: 62.50%] [G loss: 0.832202]\n",
            "11586 [D loss: 0.712418, acc.: 53.12%] [G loss: 0.785682]\n",
            "11587 [D loss: 0.657556, acc.: 53.12%] [G loss: 0.755432]\n",
            "11588 [D loss: 0.673144, acc.: 59.38%] [G loss: 0.790521]\n",
            "11589 [D loss: 0.690390, acc.: 56.25%] [G loss: 0.734673]\n",
            "11590 [D loss: 0.627657, acc.: 78.12%] [G loss: 0.777961]\n",
            "11591 [D loss: 0.593180, acc.: 68.75%] [G loss: 0.814285]\n",
            "11592 [D loss: 0.675687, acc.: 65.62%] [G loss: 0.871401]\n",
            "11593 [D loss: 0.725774, acc.: 59.38%] [G loss: 0.832495]\n",
            "11594 [D loss: 0.719610, acc.: 40.62%] [G loss: 0.764677]\n",
            "11595 [D loss: 0.630095, acc.: 59.38%] [G loss: 0.769585]\n",
            "11596 [D loss: 0.672083, acc.: 56.25%] [G loss: 0.813954]\n",
            "11597 [D loss: 0.724973, acc.: 53.12%] [G loss: 0.853934]\n",
            "11598 [D loss: 0.709292, acc.: 46.88%] [G loss: 0.840114]\n",
            "11599 [D loss: 0.684018, acc.: 59.38%] [G loss: 0.870975]\n",
            "11600 [D loss: 0.716867, acc.: 50.00%] [G loss: 0.838949]\n",
            "11601 [D loss: 0.633855, acc.: 56.25%] [G loss: 0.820772]\n",
            "11602 [D loss: 0.639669, acc.: 62.50%] [G loss: 0.834193]\n",
            "11603 [D loss: 0.655894, acc.: 56.25%] [G loss: 0.792512]\n",
            "11604 [D loss: 0.724473, acc.: 50.00%] [G loss: 0.781594]\n",
            "11605 [D loss: 0.707493, acc.: 53.12%] [G loss: 0.783035]\n",
            "11606 [D loss: 0.690910, acc.: 53.12%] [G loss: 0.790762]\n",
            "11607 [D loss: 0.723819, acc.: 43.75%] [G loss: 0.788679]\n",
            "11608 [D loss: 0.651700, acc.: 59.38%] [G loss: 0.825534]\n",
            "11609 [D loss: 0.718479, acc.: 56.25%] [G loss: 0.777311]\n",
            "11610 [D loss: 0.724845, acc.: 56.25%] [G loss: 0.822850]\n",
            "11611 [D loss: 0.769368, acc.: 37.50%] [G loss: 0.815534]\n",
            "11612 [D loss: 0.672082, acc.: 59.38%] [G loss: 0.801756]\n",
            "11613 [D loss: 0.616653, acc.: 75.00%] [G loss: 0.797619]\n",
            "11614 [D loss: 0.764249, acc.: 37.50%] [G loss: 0.803707]\n",
            "11615 [D loss: 0.643986, acc.: 65.62%] [G loss: 0.826408]\n",
            "11616 [D loss: 0.685043, acc.: 62.50%] [G loss: 0.793298]\n",
            "11617 [D loss: 0.747074, acc.: 50.00%] [G loss: 0.774365]\n",
            "11618 [D loss: 0.656665, acc.: 62.50%] [G loss: 0.800661]\n",
            "11619 [D loss: 0.728471, acc.: 59.38%] [G loss: 0.797811]\n",
            "11620 [D loss: 0.665384, acc.: 53.12%] [G loss: 0.792470]\n",
            "11621 [D loss: 0.729813, acc.: 50.00%] [G loss: 0.774405]\n",
            "11622 [D loss: 0.694763, acc.: 59.38%] [G loss: 0.788553]\n",
            "11623 [D loss: 0.716594, acc.: 50.00%] [G loss: 0.840442]\n",
            "11624 [D loss: 0.661653, acc.: 59.38%] [G loss: 0.846847]\n",
            "11625 [D loss: 0.620678, acc.: 65.62%] [G loss: 0.858874]\n",
            "11626 [D loss: 0.718567, acc.: 40.62%] [G loss: 0.847274]\n",
            "11627 [D loss: 0.624752, acc.: 71.88%] [G loss: 0.786004]\n",
            "11628 [D loss: 0.670787, acc.: 68.75%] [G loss: 0.739724]\n",
            "11629 [D loss: 0.751501, acc.: 50.00%] [G loss: 0.845220]\n",
            "11630 [D loss: 0.769098, acc.: 28.12%] [G loss: 0.836129]\n",
            "11631 [D loss: 0.631011, acc.: 68.75%] [G loss: 0.855838]\n",
            "11632 [D loss: 0.734972, acc.: 46.88%] [G loss: 0.847886]\n",
            "11633 [D loss: 0.675912, acc.: 59.38%] [G loss: 0.792511]\n",
            "11634 [D loss: 0.673691, acc.: 50.00%] [G loss: 0.746891]\n",
            "11635 [D loss: 0.651047, acc.: 59.38%] [G loss: 0.838816]\n",
            "11636 [D loss: 0.710161, acc.: 59.38%] [G loss: 0.792592]\n",
            "11637 [D loss: 0.725944, acc.: 56.25%] [G loss: 0.839914]\n",
            "11638 [D loss: 0.688752, acc.: 56.25%] [G loss: 0.824961]\n",
            "11639 [D loss: 0.685935, acc.: 46.88%] [G loss: 0.795599]\n",
            "11640 [D loss: 0.705626, acc.: 56.25%] [G loss: 0.807887]\n",
            "11641 [D loss: 0.697712, acc.: 56.25%] [G loss: 0.781477]\n",
            "11642 [D loss: 0.633861, acc.: 65.62%] [G loss: 0.810342]\n",
            "11643 [D loss: 0.761190, acc.: 28.12%] [G loss: 0.823136]\n",
            "11644 [D loss: 0.709757, acc.: 46.88%] [G loss: 0.787164]\n",
            "11645 [D loss: 0.674723, acc.: 56.25%] [G loss: 0.786312]\n",
            "11646 [D loss: 0.672351, acc.: 59.38%] [G loss: 0.827294]\n",
            "11647 [D loss: 0.674611, acc.: 50.00%] [G loss: 0.790446]\n",
            "11648 [D loss: 0.706106, acc.: 56.25%] [G loss: 0.813310]\n",
            "11649 [D loss: 0.688858, acc.: 56.25%] [G loss: 0.839724]\n",
            "11650 [D loss: 0.675222, acc.: 53.12%] [G loss: 0.816436]\n",
            "11651 [D loss: 0.746117, acc.: 37.50%] [G loss: 0.799487]\n",
            "11652 [D loss: 0.641278, acc.: 71.88%] [G loss: 0.782571]\n",
            "11653 [D loss: 0.642392, acc.: 68.75%] [G loss: 0.766827]\n",
            "11654 [D loss: 0.686927, acc.: 53.12%] [G loss: 0.772469]\n",
            "11655 [D loss: 0.698194, acc.: 53.12%] [G loss: 0.707295]\n",
            "11656 [D loss: 0.688010, acc.: 59.38%] [G loss: 0.777279]\n",
            "11657 [D loss: 0.664258, acc.: 71.88%] [G loss: 0.774989]\n",
            "11658 [D loss: 0.653206, acc.: 65.62%] [G loss: 0.804519]\n",
            "11659 [D loss: 0.763808, acc.: 37.50%] [G loss: 0.815353]\n",
            "11660 [D loss: 0.648727, acc.: 68.75%] [G loss: 0.799448]\n",
            "11661 [D loss: 0.646437, acc.: 56.25%] [G loss: 0.786012]\n",
            "11662 [D loss: 0.760911, acc.: 40.62%] [G loss: 0.758282]\n",
            "11663 [D loss: 0.670487, acc.: 68.75%] [G loss: 0.742840]\n",
            "11664 [D loss: 0.618647, acc.: 59.38%] [G loss: 0.767302]\n",
            "11665 [D loss: 0.678616, acc.: 56.25%] [G loss: 0.749259]\n",
            "11666 [D loss: 0.728301, acc.: 37.50%] [G loss: 0.806166]\n",
            "11667 [D loss: 0.676224, acc.: 46.88%] [G loss: 0.815345]\n",
            "11668 [D loss: 0.637979, acc.: 75.00%] [G loss: 0.816308]\n",
            "11669 [D loss: 0.766770, acc.: 46.88%] [G loss: 0.800013]\n",
            "11670 [D loss: 0.743071, acc.: 40.62%] [G loss: 0.765241]\n",
            "11671 [D loss: 0.694411, acc.: 59.38%] [G loss: 0.740244]\n",
            "11672 [D loss: 0.661532, acc.: 53.12%] [G loss: 0.716009]\n",
            "11673 [D loss: 0.658896, acc.: 59.38%] [G loss: 0.806326]\n",
            "11674 [D loss: 0.664070, acc.: 62.50%] [G loss: 0.773486]\n",
            "11675 [D loss: 0.675903, acc.: 65.62%] [G loss: 0.795216]\n",
            "11676 [D loss: 0.679898, acc.: 56.25%] [G loss: 0.813065]\n",
            "11677 [D loss: 0.749036, acc.: 46.88%] [G loss: 0.774473]\n",
            "11678 [D loss: 0.653981, acc.: 62.50%] [G loss: 0.811426]\n",
            "11679 [D loss: 0.687797, acc.: 50.00%] [G loss: 0.811023]\n",
            "11680 [D loss: 0.694274, acc.: 43.75%] [G loss: 0.828271]\n",
            "11681 [D loss: 0.649803, acc.: 68.75%] [G loss: 0.816512]\n",
            "11682 [D loss: 0.688276, acc.: 56.25%] [G loss: 0.785643]\n",
            "11683 [D loss: 0.741305, acc.: 43.75%] [G loss: 0.767962]\n",
            "11684 [D loss: 0.633931, acc.: 75.00%] [G loss: 0.791121]\n",
            "11685 [D loss: 0.648301, acc.: 59.38%] [G loss: 0.810194]\n",
            "11686 [D loss: 0.651514, acc.: 56.25%] [G loss: 0.771222]\n",
            "11687 [D loss: 0.697629, acc.: 56.25%] [G loss: 0.772052]\n",
            "11688 [D loss: 0.703344, acc.: 46.88%] [G loss: 0.818937]\n",
            "11689 [D loss: 0.721231, acc.: 50.00%] [G loss: 0.787195]\n",
            "11690 [D loss: 0.639187, acc.: 62.50%] [G loss: 0.800199]\n",
            "11691 [D loss: 0.737049, acc.: 50.00%] [G loss: 0.880750]\n",
            "11692 [D loss: 0.670842, acc.: 62.50%] [G loss: 0.774074]\n",
            "11693 [D loss: 0.700917, acc.: 56.25%] [G loss: 0.775897]\n",
            "11694 [D loss: 0.715071, acc.: 56.25%] [G loss: 0.859743]\n",
            "11695 [D loss: 0.690880, acc.: 46.88%] [G loss: 0.793914]\n",
            "11696 [D loss: 0.672809, acc.: 50.00%] [G loss: 0.806230]\n",
            "11697 [D loss: 0.641800, acc.: 62.50%] [G loss: 0.809651]\n",
            "11698 [D loss: 0.668346, acc.: 56.25%] [G loss: 0.826559]\n",
            "11699 [D loss: 0.785424, acc.: 37.50%] [G loss: 0.822660]\n",
            "11700 [D loss: 0.649694, acc.: 65.62%] [G loss: 0.817331]\n",
            "11701 [D loss: 0.708160, acc.: 50.00%] [G loss: 0.838002]\n",
            "11702 [D loss: 0.610113, acc.: 62.50%] [G loss: 0.886969]\n",
            "11703 [D loss: 0.651634, acc.: 59.38%] [G loss: 0.859748]\n",
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            "11705 [D loss: 0.696251, acc.: 53.12%] [G loss: 0.850181]\n",
            "11706 [D loss: 0.770133, acc.: 59.38%] [G loss: 0.769001]\n",
            "11707 [D loss: 0.770622, acc.: 28.12%] [G loss: 0.783335]\n",
            "11708 [D loss: 0.685722, acc.: 62.50%] [G loss: 0.746857]\n",
            "11709 [D loss: 0.645309, acc.: 59.38%] [G loss: 0.812728]\n",
            "11710 [D loss: 0.693725, acc.: 56.25%] [G loss: 0.774887]\n",
            "11711 [D loss: 0.649730, acc.: 71.88%] [G loss: 0.811761]\n",
            "11712 [D loss: 0.626228, acc.: 68.75%] [G loss: 0.762301]\n",
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            "11719 [D loss: 0.695185, acc.: 53.12%] [G loss: 0.802697]\n",
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            "11721 [D loss: 0.701265, acc.: 62.50%] [G loss: 0.853417]\n",
            "11722 [D loss: 0.738975, acc.: 46.88%] [G loss: 0.883784]\n",
            "11723 [D loss: 0.698194, acc.: 59.38%] [G loss: 0.878445]\n",
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            "11726 [D loss: 0.655908, acc.: 56.25%] [G loss: 0.910083]\n",
            "11727 [D loss: 0.672792, acc.: 59.38%] [G loss: 0.878497]\n",
            "11728 [D loss: 0.671788, acc.: 56.25%] [G loss: 0.878434]\n",
            "11729 [D loss: 0.691093, acc.: 46.88%] [G loss: 0.755414]\n",
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            "11731 [D loss: 0.701356, acc.: 43.75%] [G loss: 0.754518]\n",
            "11732 [D loss: 0.674248, acc.: 62.50%] [G loss: 0.760868]\n",
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            "11737 [D loss: 0.688155, acc.: 50.00%] [G loss: 0.754983]\n",
            "11738 [D loss: 0.657045, acc.: 65.62%] [G loss: 0.843597]\n",
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            "11743 [D loss: 0.695429, acc.: 50.00%] [G loss: 0.825508]\n",
            "11744 [D loss: 0.721204, acc.: 50.00%] [G loss: 0.820834]\n",
            "11745 [D loss: 0.708364, acc.: 50.00%] [G loss: 0.791372]\n",
            "11746 [D loss: 0.655852, acc.: 56.25%] [G loss: 0.867177]\n",
            "11747 [D loss: 0.676936, acc.: 56.25%] [G loss: 0.870502]\n",
            "11748 [D loss: 0.677341, acc.: 56.25%] [G loss: 0.900379]\n",
            "11749 [D loss: 0.695537, acc.: 50.00%] [G loss: 0.906976]\n",
            "11750 [D loss: 0.702087, acc.: 59.38%] [G loss: 0.826755]\n",
            "11751 [D loss: 0.632879, acc.: 65.62%] [G loss: 0.816620]\n",
            "11752 [D loss: 0.585651, acc.: 78.12%] [G loss: 0.870161]\n",
            "11753 [D loss: 0.647203, acc.: 59.38%] [G loss: 0.826876]\n",
            "11754 [D loss: 0.691319, acc.: 53.12%] [G loss: 0.762854]\n",
            "11755 [D loss: 0.604516, acc.: 75.00%] [G loss: 0.828743]\n",
            "11756 [D loss: 0.676492, acc.: 53.12%] [G loss: 0.872570]\n",
            "11757 [D loss: 0.738592, acc.: 40.62%] [G loss: 0.789890]\n",
            "11758 [D loss: 0.670326, acc.: 56.25%] [G loss: 0.800976]\n",
            "11759 [D loss: 0.638691, acc.: 65.62%] [G loss: 0.757815]\n",
            "11760 [D loss: 0.669998, acc.: 62.50%] [G loss: 0.791636]\n",
            "11761 [D loss: 0.641765, acc.: 71.88%] [G loss: 0.813315]\n",
            "11762 [D loss: 0.681083, acc.: 56.25%] [G loss: 0.782357]\n",
            "11763 [D loss: 0.695274, acc.: 56.25%] [G loss: 0.811320]\n",
            "11764 [D loss: 0.696089, acc.: 50.00%] [G loss: 0.740572]\n",
            "11765 [D loss: 0.663346, acc.: 53.12%] [G loss: 0.823149]\n",
            "11766 [D loss: 0.741379, acc.: 40.62%] [G loss: 0.790482]\n",
            "11767 [D loss: 0.692164, acc.: 59.38%] [G loss: 0.758205]\n",
            "11768 [D loss: 0.657107, acc.: 59.38%] [G loss: 0.796317]\n",
            "11769 [D loss: 0.654232, acc.: 62.50%] [G loss: 0.806477]\n",
            "11770 [D loss: 0.622797, acc.: 62.50%] [G loss: 0.761320]\n",
            "11771 [D loss: 0.628729, acc.: 78.12%] [G loss: 0.811329]\n",
            "11772 [D loss: 0.703771, acc.: 56.25%] [G loss: 0.847469]\n",
            "11773 [D loss: 0.693209, acc.: 50.00%] [G loss: 0.800476]\n",
            "11774 [D loss: 0.701650, acc.: 59.38%] [G loss: 0.792881]\n",
            "11775 [D loss: 0.641054, acc.: 62.50%] [G loss: 0.766299]\n",
            "11776 [D loss: 0.763824, acc.: 43.75%] [G loss: 0.821595]\n",
            "11777 [D loss: 0.707759, acc.: 50.00%] [G loss: 0.802644]\n",
            "11778 [D loss: 0.592298, acc.: 71.88%] [G loss: 0.808033]\n",
            "11779 [D loss: 0.810972, acc.: 31.25%] [G loss: 0.788963]\n",
            "11780 [D loss: 0.707479, acc.: 40.62%] [G loss: 0.824548]\n",
            "11781 [D loss: 0.696076, acc.: 50.00%] [G loss: 0.837350]\n",
            "11782 [D loss: 0.742662, acc.: 34.38%] [G loss: 0.782554]\n",
            "11783 [D loss: 0.657927, acc.: 62.50%] [G loss: 0.798649]\n",
            "11784 [D loss: 0.678154, acc.: 65.62%] [G loss: 0.811784]\n",
            "11785 [D loss: 0.686899, acc.: 50.00%] [G loss: 0.835975]\n",
            "11786 [D loss: 0.661628, acc.: 43.75%] [G loss: 0.808769]\n",
            "11787 [D loss: 0.696847, acc.: 50.00%] [G loss: 0.806640]\n",
            "11788 [D loss: 0.763224, acc.: 31.25%] [G loss: 0.775961]\n",
            "11789 [D loss: 0.682985, acc.: 62.50%] [G loss: 0.797960]\n",
            "11790 [D loss: 0.670009, acc.: 62.50%] [G loss: 0.769861]\n",
            "11791 [D loss: 0.662813, acc.: 62.50%] [G loss: 0.802198]\n",
            "11792 [D loss: 0.727883, acc.: 40.62%] [G loss: 0.770233]\n",
            "11793 [D loss: 0.676287, acc.: 62.50%] [G loss: 0.736169]\n",
            "11794 [D loss: 0.712706, acc.: 50.00%] [G loss: 0.758082]\n",
            "11795 [D loss: 0.670755, acc.: 59.38%] [G loss: 0.804003]\n",
            "11796 [D loss: 0.739793, acc.: 43.75%] [G loss: 0.732064]\n",
            "11797 [D loss: 0.659150, acc.: 50.00%] [G loss: 0.816138]\n",
            "11798 [D loss: 0.703865, acc.: 40.62%] [G loss: 0.830021]\n",
            "11799 [D loss: 0.686743, acc.: 50.00%] [G loss: 0.801669]\n",
            "11800 [D loss: 0.672835, acc.: 56.25%] [G loss: 0.802584]\n",
            "11801 [D loss: 0.715166, acc.: 43.75%] [G loss: 0.813663]\n",
            "11802 [D loss: 0.731422, acc.: 50.00%] [G loss: 0.818667]\n",
            "11803 [D loss: 0.672909, acc.: 50.00%] [G loss: 0.763781]\n",
            "11804 [D loss: 0.669135, acc.: 65.62%] [G loss: 0.882435]\n",
            "11805 [D loss: 0.718326, acc.: 43.75%] [G loss: 0.862042]\n",
            "11806 [D loss: 0.725433, acc.: 43.75%] [G loss: 0.793930]\n",
            "11807 [D loss: 0.766567, acc.: 31.25%] [G loss: 0.757683]\n",
            "11808 [D loss: 0.654922, acc.: 62.50%] [G loss: 0.789097]\n",
            "11809 [D loss: 0.661157, acc.: 65.62%] [G loss: 0.787497]\n",
            "11810 [D loss: 0.701209, acc.: 46.88%] [G loss: 0.815208]\n",
            "11811 [D loss: 0.660375, acc.: 53.12%] [G loss: 0.808131]\n",
            "11812 [D loss: 0.703854, acc.: 53.12%] [G loss: 0.849012]\n",
            "11813 [D loss: 0.666715, acc.: 59.38%] [G loss: 0.793077]\n",
            "11814 [D loss: 0.745136, acc.: 37.50%] [G loss: 0.829408]\n",
            "11815 [D loss: 0.725726, acc.: 50.00%] [G loss: 0.845637]\n",
            "11816 [D loss: 0.690868, acc.: 46.88%] [G loss: 0.863093]\n",
            "11817 [D loss: 0.668235, acc.: 59.38%] [G loss: 0.794318]\n",
            "11818 [D loss: 0.663850, acc.: 65.62%] [G loss: 0.799919]\n",
            "11819 [D loss: 0.694218, acc.: 40.62%] [G loss: 0.811198]\n",
            "11820 [D loss: 0.722217, acc.: 53.12%] [G loss: 0.842950]\n",
            "11821 [D loss: 0.625319, acc.: 62.50%] [G loss: 0.880201]\n",
            "11822 [D loss: 0.680517, acc.: 50.00%] [G loss: 0.868587]\n",
            "11823 [D loss: 0.669689, acc.: 53.12%] [G loss: 0.870502]\n",
            "11824 [D loss: 0.704810, acc.: 53.12%] [G loss: 0.789068]\n",
            "11825 [D loss: 0.668153, acc.: 65.62%] [G loss: 0.818126]\n",
            "11826 [D loss: 0.688648, acc.: 46.88%] [G loss: 0.835294]\n",
            "11827 [D loss: 0.647867, acc.: 50.00%] [G loss: 0.834635]\n",
            "11828 [D loss: 0.726020, acc.: 50.00%] [G loss: 0.846410]\n",
            "11829 [D loss: 0.638665, acc.: 65.62%] [G loss: 0.828682]\n",
            "11830 [D loss: 0.631397, acc.: 68.75%] [G loss: 0.794811]\n",
            "11831 [D loss: 0.680507, acc.: 46.88%] [G loss: 0.772392]\n",
            "11832 [D loss: 0.706394, acc.: 53.12%] [G loss: 0.793112]\n",
            "11833 [D loss: 0.646523, acc.: 68.75%] [G loss: 0.835892]\n",
            "11834 [D loss: 0.602817, acc.: 78.12%] [G loss: 0.826618]\n",
            "11835 [D loss: 0.685627, acc.: 56.25%] [G loss: 0.755950]\n",
            "11836 [D loss: 0.710016, acc.: 53.12%] [G loss: 0.858965]\n",
            "11837 [D loss: 0.646259, acc.: 68.75%] [G loss: 0.830812]\n",
            "11838 [D loss: 0.659877, acc.: 62.50%] [G loss: 0.865003]\n",
            "11839 [D loss: 0.697231, acc.: 59.38%] [G loss: 0.836468]\n",
            "11840 [D loss: 0.634643, acc.: 68.75%] [G loss: 0.900699]\n",
            "11841 [D loss: 0.747405, acc.: 46.88%] [G loss: 0.874801]\n",
            "11842 [D loss: 0.695724, acc.: 43.75%] [G loss: 0.828902]\n",
            "11843 [D loss: 0.658561, acc.: 56.25%] [G loss: 0.847036]\n",
            "11844 [D loss: 0.642033, acc.: 59.38%] [G loss: 0.827789]\n",
            "11845 [D loss: 0.730943, acc.: 50.00%] [G loss: 0.822970]\n",
            "11846 [D loss: 0.708631, acc.: 53.12%] [G loss: 0.903098]\n",
            "11847 [D loss: 0.609826, acc.: 68.75%] [G loss: 0.861606]\n",
            "11848 [D loss: 0.612627, acc.: 62.50%] [G loss: 0.825241]\n",
            "11849 [D loss: 0.667284, acc.: 71.88%] [G loss: 0.803235]\n",
            "11850 [D loss: 0.669440, acc.: 59.38%] [G loss: 0.823334]\n",
            "11851 [D loss: 0.708614, acc.: 56.25%] [G loss: 0.819728]\n",
            "11852 [D loss: 0.620747, acc.: 75.00%] [G loss: 0.823972]\n",
            "11853 [D loss: 0.757364, acc.: 43.75%] [G loss: 0.799085]\n",
            "11854 [D loss: 0.677393, acc.: 59.38%] [G loss: 0.863018]\n",
            "11855 [D loss: 0.751321, acc.: 40.62%] [G loss: 0.820765]\n",
            "11856 [D loss: 0.644739, acc.: 65.62%] [G loss: 0.861089]\n",
            "11857 [D loss: 0.617123, acc.: 75.00%] [G loss: 0.872038]\n",
            "11858 [D loss: 0.677051, acc.: 68.75%] [G loss: 0.813635]\n",
            "11859 [D loss: 0.673036, acc.: 62.50%] [G loss: 0.877852]\n",
            "11860 [D loss: 0.640247, acc.: 68.75%] [G loss: 0.906187]\n",
            "11861 [D loss: 0.689815, acc.: 50.00%] [G loss: 0.888219]\n",
            "11862 [D loss: 0.709235, acc.: 56.25%] [G loss: 0.759905]\n",
            "11863 [D loss: 0.711073, acc.: 53.12%] [G loss: 0.792081]\n",
            "11864 [D loss: 0.660042, acc.: 71.88%] [G loss: 0.790670]\n",
            "11865 [D loss: 0.672228, acc.: 56.25%] [G loss: 0.860968]\n",
            "11866 [D loss: 0.650647, acc.: 56.25%] [G loss: 0.790990]\n",
            "11867 [D loss: 0.705468, acc.: 46.88%] [G loss: 0.729398]\n",
            "11868 [D loss: 0.613326, acc.: 65.62%] [G loss: 0.775160]\n",
            "11869 [D loss: 0.609798, acc.: 68.75%] [G loss: 0.807586]\n",
            "11870 [D loss: 0.715773, acc.: 62.50%] [G loss: 0.788146]\n",
            "11871 [D loss: 0.790209, acc.: 34.38%] [G loss: 0.803165]\n",
            "11872 [D loss: 0.702648, acc.: 53.12%] [G loss: 0.829177]\n",
            "11873 [D loss: 0.754708, acc.: 37.50%] [G loss: 0.771569]\n",
            "11874 [D loss: 0.629802, acc.: 68.75%] [G loss: 0.878113]\n",
            "11875 [D loss: 0.662708, acc.: 59.38%] [G loss: 0.896867]\n",
            "11876 [D loss: 0.670257, acc.: 53.12%] [G loss: 0.868279]\n",
            "11877 [D loss: 0.706074, acc.: 56.25%] [G loss: 0.861652]\n",
            "11878 [D loss: 0.689384, acc.: 53.12%] [G loss: 0.858350]\n",
            "11879 [D loss: 0.665424, acc.: 56.25%] [G loss: 0.839512]\n",
            "11880 [D loss: 0.701658, acc.: 53.12%] [G loss: 0.814795]\n",
            "11881 [D loss: 0.660648, acc.: 59.38%] [G loss: 0.867171]\n",
            "11882 [D loss: 0.658135, acc.: 59.38%] [G loss: 0.829222]\n",
            "11883 [D loss: 0.708757, acc.: 43.75%] [G loss: 0.754525]\n",
            "11884 [D loss: 0.647615, acc.: 65.62%] [G loss: 0.830311]\n",
            "11885 [D loss: 0.687539, acc.: 46.88%] [G loss: 0.842640]\n",
            "11886 [D loss: 0.704061, acc.: 40.62%] [G loss: 0.750058]\n",
            "11887 [D loss: 0.755443, acc.: 37.50%] [G loss: 0.750075]\n",
            "11888 [D loss: 0.691201, acc.: 59.38%] [G loss: 0.790906]\n",
            "11889 [D loss: 0.722811, acc.: 50.00%] [G loss: 0.815901]\n",
            "11890 [D loss: 0.675767, acc.: 59.38%] [G loss: 0.801646]\n",
            "11891 [D loss: 0.656010, acc.: 65.62%] [G loss: 0.800751]\n",
            "11892 [D loss: 0.632230, acc.: 56.25%] [G loss: 0.816175]\n",
            "11893 [D loss: 0.650145, acc.: 65.62%] [G loss: 0.751027]\n",
            "11894 [D loss: 0.752787, acc.: 50.00%] [G loss: 0.783285]\n",
            "11895 [D loss: 0.700889, acc.: 50.00%] [G loss: 0.777513]\n",
            "11896 [D loss: 0.681169, acc.: 59.38%] [G loss: 0.763025]\n",
            "11897 [D loss: 0.634825, acc.: 65.62%] [G loss: 0.798968]\n",
            "11898 [D loss: 0.694312, acc.: 59.38%] [G loss: 0.813881]\n",
            "11899 [D loss: 0.705323, acc.: 53.12%] [G loss: 0.770940]\n",
            "11900 [D loss: 0.675378, acc.: 53.12%] [G loss: 0.734397]\n",
            "11901 [D loss: 0.600945, acc.: 78.12%] [G loss: 0.739915]\n",
            "11902 [D loss: 0.665823, acc.: 65.62%] [G loss: 0.761773]\n",
            "11903 [D loss: 0.736898, acc.: 56.25%] [G loss: 0.778028]\n",
            "11904 [D loss: 0.729021, acc.: 50.00%] [G loss: 0.796328]\n",
            "11905 [D loss: 0.655617, acc.: 53.12%] [G loss: 0.859974]\n",
            "11906 [D loss: 0.653268, acc.: 59.38%] [G loss: 0.796894]\n",
            "11907 [D loss: 0.661149, acc.: 59.38%] [G loss: 0.798231]\n",
            "11908 [D loss: 0.742737, acc.: 43.75%] [G loss: 0.816292]\n",
            "11909 [D loss: 0.704424, acc.: 46.88%] [G loss: 0.864673]\n",
            "11910 [D loss: 0.713074, acc.: 59.38%] [G loss: 0.780308]\n",
            "11911 [D loss: 0.682175, acc.: 59.38%] [G loss: 0.768706]\n",
            "11912 [D loss: 0.727499, acc.: 56.25%] [G loss: 0.752030]\n",
            "11913 [D loss: 0.706189, acc.: 46.88%] [G loss: 0.779511]\n",
            "11914 [D loss: 0.657290, acc.: 59.38%] [G loss: 0.772828]\n",
            "11915 [D loss: 0.662116, acc.: 53.12%] [G loss: 0.771476]\n",
            "11916 [D loss: 0.646766, acc.: 62.50%] [G loss: 0.822640]\n",
            "11917 [D loss: 0.716092, acc.: 40.62%] [G loss: 0.837584]\n",
            "11918 [D loss: 0.661718, acc.: 56.25%] [G loss: 0.771991]\n",
            "11919 [D loss: 0.727568, acc.: 50.00%] [G loss: 0.775924]\n",
            "11920 [D loss: 0.732773, acc.: 50.00%] [G loss: 0.757016]\n",
            "11921 [D loss: 0.699584, acc.: 53.12%] [G loss: 0.805388]\n",
            "11922 [D loss: 0.652892, acc.: 53.12%] [G loss: 0.818510]\n",
            "11923 [D loss: 0.695416, acc.: 53.12%] [G loss: 0.806716]\n",
            "11924 [D loss: 0.709065, acc.: 46.88%] [G loss: 0.847885]\n",
            "11925 [D loss: 0.691788, acc.: 50.00%] [G loss: 0.776850]\n",
            "11926 [D loss: 0.707321, acc.: 50.00%] [G loss: 0.785721]\n",
            "11927 [D loss: 0.696726, acc.: 59.38%] [G loss: 0.781092]\n",
            "11928 [D loss: 0.710548, acc.: 50.00%] [G loss: 0.814436]\n",
            "11929 [D loss: 0.699357, acc.: 53.12%] [G loss: 0.799019]\n",
            "11930 [D loss: 0.626852, acc.: 71.88%] [G loss: 0.754705]\n",
            "11931 [D loss: 0.651579, acc.: 71.88%] [G loss: 0.804019]\n",
            "11932 [D loss: 0.684204, acc.: 56.25%] [G loss: 0.769167]\n",
            "11933 [D loss: 0.705841, acc.: 50.00%] [G loss: 0.769192]\n",
            "11934 [D loss: 0.719828, acc.: 46.88%] [G loss: 0.782111]\n",
            "11935 [D loss: 0.707112, acc.: 62.50%] [G loss: 0.777403]\n",
            "11936 [D loss: 0.724662, acc.: 46.88%] [G loss: 0.777893]\n",
            "11937 [D loss: 0.644582, acc.: 53.12%] [G loss: 0.804064]\n",
            "11938 [D loss: 0.651567, acc.: 62.50%] [G loss: 0.770204]\n",
            "11939 [D loss: 0.785168, acc.: 34.38%] [G loss: 0.816079]\n",
            "11940 [D loss: 0.673190, acc.: 56.25%] [G loss: 0.802562]\n",
            "11941 [D loss: 0.724916, acc.: 46.88%] [G loss: 0.812768]\n",
            "11942 [D loss: 0.659084, acc.: 59.38%] [G loss: 0.772468]\n",
            "11943 [D loss: 0.729511, acc.: 46.88%] [G loss: 0.829697]\n",
            "11944 [D loss: 0.670423, acc.: 56.25%] [G loss: 0.787840]\n",
            "11945 [D loss: 0.732995, acc.: 34.38%] [G loss: 0.796347]\n",
            "11946 [D loss: 0.618211, acc.: 56.25%] [G loss: 0.808697]\n",
            "11947 [D loss: 0.728331, acc.: 50.00%] [G loss: 0.816294]\n",
            "11948 [D loss: 0.675933, acc.: 59.38%] [G loss: 0.805323]\n",
            "11949 [D loss: 0.616171, acc.: 68.75%] [G loss: 0.817007]\n",
            "11950 [D loss: 0.642058, acc.: 59.38%] [G loss: 0.867301]\n",
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            "11952 [D loss: 0.681716, acc.: 65.62%] [G loss: 0.815290]\n",
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            "11954 [D loss: 0.650277, acc.: 71.88%] [G loss: 0.812438]\n",
            "11955 [D loss: 0.665917, acc.: 50.00%] [G loss: 0.855717]\n",
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            "11961 [D loss: 0.695697, acc.: 46.88%] [G loss: 0.783040]\n",
            "11962 [D loss: 0.652122, acc.: 65.62%] [G loss: 0.787688]\n",
            "11963 [D loss: 0.758098, acc.: 43.75%] [G loss: 0.792070]\n",
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            "11969 [D loss: 0.706672, acc.: 46.88%] [G loss: 0.814517]\n",
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            "11979 [D loss: 0.666519, acc.: 59.38%] [G loss: 0.751082]\n",
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            "11986 [D loss: 0.667178, acc.: 62.50%] [G loss: 0.751675]\n",
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            "11990 [D loss: 0.702030, acc.: 50.00%] [G loss: 0.826387]\n",
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            "11992 [D loss: 0.667492, acc.: 62.50%] [G loss: 0.846399]\n",
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            "11995 [D loss: 0.608114, acc.: 75.00%] [G loss: 0.797278]\n",
            "11996 [D loss: 0.700063, acc.: 50.00%] [G loss: 0.810157]\n",
            "11997 [D loss: 0.691107, acc.: 50.00%] [G loss: 0.779282]\n",
            "11998 [D loss: 0.664156, acc.: 62.50%] [G loss: 0.830940]\n",
            "11999 [D loss: 0.731571, acc.: 34.38%] [G loss: 0.873451]\n",
            "12000 [D loss: 0.655164, acc.: 62.50%] [G loss: 0.809192]\n",
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            "12009 [D loss: 0.710700, acc.: 43.75%] [G loss: 0.818280]\n",
            "12010 [D loss: 0.656686, acc.: 56.25%] [G loss: 0.838731]\n",
            "12011 [D loss: 0.623346, acc.: 68.75%] [G loss: 0.843031]\n",
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            "12017 [D loss: 0.703716, acc.: 59.38%] [G loss: 0.852257]\n",
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            "12027 [D loss: 0.752748, acc.: 40.62%] [G loss: 0.815608]\n",
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            "12038 [D loss: 0.648633, acc.: 59.38%] [G loss: 0.837727]\n",
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            "12045 [D loss: 0.608103, acc.: 78.12%] [G loss: 0.896593]\n",
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            "12050 [D loss: 0.736517, acc.: 46.88%] [G loss: 0.788850]\n",
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            "12053 [D loss: 0.723757, acc.: 46.88%] [G loss: 0.827337]\n",
            "12054 [D loss: 0.774938, acc.: 31.25%] [G loss: 0.803432]\n",
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            "12060 [D loss: 0.669260, acc.: 59.38%] [G loss: 0.842712]\n",
            "12061 [D loss: 0.739340, acc.: 50.00%] [G loss: 0.853942]\n",
            "12062 [D loss: 0.666460, acc.: 53.12%] [G loss: 0.787141]\n",
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            "12064 [D loss: 0.696029, acc.: 46.88%] [G loss: 0.760699]\n",
            "12065 [D loss: 0.684732, acc.: 56.25%] [G loss: 0.784852]\n",
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            "12067 [D loss: 0.650463, acc.: 59.38%] [G loss: 0.791689]\n",
            "12068 [D loss: 0.711038, acc.: 50.00%] [G loss: 0.835264]\n",
            "12069 [D loss: 0.764185, acc.: 43.75%] [G loss: 0.784544]\n",
            "12070 [D loss: 0.675193, acc.: 62.50%] [G loss: 0.739077]\n",
            "12071 [D loss: 0.613416, acc.: 71.88%] [G loss: 0.801677]\n",
            "12072 [D loss: 0.729031, acc.: 46.88%] [G loss: 0.783544]\n",
            "12073 [D loss: 0.646057, acc.: 71.88%] [G loss: 0.777177]\n",
            "12074 [D loss: 0.682566, acc.: 53.12%] [G loss: 0.787124]\n",
            "12075 [D loss: 0.656791, acc.: 62.50%] [G loss: 0.802340]\n",
            "12076 [D loss: 0.680427, acc.: 50.00%] [G loss: 0.781103]\n",
            "12077 [D loss: 0.638326, acc.: 68.75%] [G loss: 0.793945]\n",
            "12078 [D loss: 0.691074, acc.: 53.12%] [G loss: 0.849711]\n",
            "12079 [D loss: 0.646105, acc.: 65.62%] [G loss: 0.854797]\n",
            "12080 [D loss: 0.665946, acc.: 53.12%] [G loss: 0.831600]\n",
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            "12082 [D loss: 0.685855, acc.: 59.38%] [G loss: 0.747988]\n",
            "12083 [D loss: 0.687067, acc.: 53.12%] [G loss: 0.845146]\n",
            "12084 [D loss: 0.740843, acc.: 46.88%] [G loss: 0.792454]\n",
            "12085 [D loss: 0.748902, acc.: 37.50%] [G loss: 0.767504]\n",
            "12086 [D loss: 0.731787, acc.: 50.00%] [G loss: 0.788558]\n",
            "12087 [D loss: 0.644924, acc.: 62.50%] [G loss: 0.764974]\n",
            "12088 [D loss: 0.683420, acc.: 62.50%] [G loss: 0.732072]\n",
            "12089 [D loss: 0.683935, acc.: 53.12%] [G loss: 0.727026]\n",
            "12090 [D loss: 0.685902, acc.: 56.25%] [G loss: 0.809086]\n",
            "12091 [D loss: 0.695893, acc.: 50.00%] [G loss: 0.847461]\n",
            "12092 [D loss: 0.747370, acc.: 40.62%] [G loss: 0.873631]\n",
            "12093 [D loss: 0.635018, acc.: 59.38%] [G loss: 0.851241]\n",
            "12094 [D loss: 0.694388, acc.: 56.25%] [G loss: 0.783408]\n",
            "12095 [D loss: 0.700903, acc.: 59.38%] [G loss: 0.754418]\n",
            "12096 [D loss: 0.692216, acc.: 53.12%] [G loss: 0.806428]\n",
            "12097 [D loss: 0.733209, acc.: 46.88%] [G loss: 0.758072]\n",
            "12098 [D loss: 0.717792, acc.: 53.12%] [G loss: 0.786683]\n",
            "12099 [D loss: 0.668826, acc.: 53.12%] [G loss: 0.763809]\n",
            "12100 [D loss: 0.711267, acc.: 50.00%] [G loss: 0.804805]\n",
            "12101 [D loss: 0.647125, acc.: 65.62%] [G loss: 0.765901]\n",
            "12102 [D loss: 0.635880, acc.: 71.88%] [G loss: 0.761974]\n",
            "12103 [D loss: 0.679607, acc.: 46.88%] [G loss: 0.781430]\n",
            "12104 [D loss: 0.714963, acc.: 50.00%] [G loss: 0.897591]\n",
            "12105 [D loss: 0.670159, acc.: 62.50%] [G loss: 0.859006]\n",
            "12106 [D loss: 0.727567, acc.: 56.25%] [G loss: 0.837206]\n",
            "12107 [D loss: 0.678542, acc.: 59.38%] [G loss: 0.829269]\n",
            "12108 [D loss: 0.685952, acc.: 56.25%] [G loss: 0.822759]\n",
            "12109 [D loss: 0.743326, acc.: 59.38%] [G loss: 0.839559]\n",
            "12110 [D loss: 0.662210, acc.: 59.38%] [G loss: 0.846391]\n",
            "12111 [D loss: 0.708113, acc.: 50.00%] [G loss: 0.809856]\n",
            "12112 [D loss: 0.704203, acc.: 56.25%] [G loss: 0.800110]\n",
            "12113 [D loss: 0.657906, acc.: 68.75%] [G loss: 0.794023]\n",
            "12114 [D loss: 0.696902, acc.: 53.12%] [G loss: 0.848007]\n",
            "12115 [D loss: 0.652677, acc.: 68.75%] [G loss: 0.812542]\n",
            "12116 [D loss: 0.700578, acc.: 53.12%] [G loss: 0.840171]\n",
            "12117 [D loss: 0.676334, acc.: 56.25%] [G loss: 0.812846]\n",
            "12118 [D loss: 0.697289, acc.: 59.38%] [G loss: 0.731325]\n",
            "12119 [D loss: 0.678887, acc.: 53.12%] [G loss: 0.769289]\n",
            "12120 [D loss: 0.720922, acc.: 53.12%] [G loss: 0.832995]\n",
            "12121 [D loss: 0.651316, acc.: 59.38%] [G loss: 0.778410]\n",
            "12122 [D loss: 0.675910, acc.: 56.25%] [G loss: 0.797421]\n",
            "12123 [D loss: 0.649738, acc.: 56.25%] [G loss: 0.791503]\n",
            "12124 [D loss: 0.676409, acc.: 65.62%] [G loss: 0.793487]\n",
            "12125 [D loss: 0.673604, acc.: 53.12%] [G loss: 0.777205]\n",
            "12126 [D loss: 0.635194, acc.: 68.75%] [G loss: 0.811996]\n",
            "12127 [D loss: 0.655019, acc.: 65.62%] [G loss: 0.755481]\n",
            "12128 [D loss: 0.753491, acc.: 50.00%] [G loss: 0.781775]\n",
            "12129 [D loss: 0.624948, acc.: 71.88%] [G loss: 0.778528]\n",
            "12130 [D loss: 0.716014, acc.: 53.12%] [G loss: 0.799511]\n",
            "12131 [D loss: 0.690068, acc.: 53.12%] [G loss: 0.759822]\n",
            "12132 [D loss: 0.692018, acc.: 50.00%] [G loss: 0.823991]\n",
            "12133 [D loss: 0.794317, acc.: 34.38%] [G loss: 0.779272]\n",
            "12134 [D loss: 0.761084, acc.: 28.12%] [G loss: 0.714215]\n",
            "12135 [D loss: 0.679926, acc.: 46.88%] [G loss: 0.826841]\n",
            "12136 [D loss: 0.711646, acc.: 43.75%] [G loss: 0.796908]\n",
            "12137 [D loss: 0.693949, acc.: 50.00%] [G loss: 0.798033]\n",
            "12138 [D loss: 0.711054, acc.: 43.75%] [G loss: 0.767711]\n",
            "12139 [D loss: 0.726247, acc.: 31.25%] [G loss: 0.762794]\n",
            "12140 [D loss: 0.736791, acc.: 46.88%] [G loss: 0.814106]\n",
            "12141 [D loss: 0.670749, acc.: 59.38%] [G loss: 0.839671]\n",
            "12142 [D loss: 0.677097, acc.: 50.00%] [G loss: 0.846486]\n",
            "12143 [D loss: 0.654685, acc.: 62.50%] [G loss: 0.848495]\n",
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            "12145 [D loss: 0.686609, acc.: 59.38%] [G loss: 0.852033]\n",
            "12146 [D loss: 0.630165, acc.: 71.88%] [G loss: 0.813327]\n",
            "12147 [D loss: 0.695860, acc.: 50.00%] [G loss: 0.772755]\n",
            "12148 [D loss: 0.744734, acc.: 50.00%] [G loss: 0.777624]\n",
            "12149 [D loss: 0.695599, acc.: 65.62%] [G loss: 0.804342]\n",
            "12150 [D loss: 0.664021, acc.: 59.38%] [G loss: 0.747207]\n",
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            "12152 [D loss: 0.657593, acc.: 56.25%] [G loss: 0.830480]\n",
            "12153 [D loss: 0.650065, acc.: 59.38%] [G loss: 0.843876]\n",
            "12154 [D loss: 0.605385, acc.: 68.75%] [G loss: 0.841615]\n",
            "12155 [D loss: 0.774484, acc.: 28.12%] [G loss: 0.808089]\n",
            "12156 [D loss: 0.696120, acc.: 43.75%] [G loss: 0.802731]\n",
            "12157 [D loss: 0.751324, acc.: 56.25%] [G loss: 0.783789]\n",
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            "12160 [D loss: 0.707976, acc.: 59.38%] [G loss: 0.707260]\n",
            "12161 [D loss: 0.671022, acc.: 56.25%] [G loss: 0.692672]\n",
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            "12163 [D loss: 0.639297, acc.: 71.88%] [G loss: 0.743584]\n",
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            "12168 [D loss: 0.674489, acc.: 46.88%] [G loss: 0.838092]\n",
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            "12182 [D loss: 0.701227, acc.: 50.00%] [G loss: 0.783243]\n",
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            "12187 [D loss: 0.641593, acc.: 68.75%] [G loss: 0.821522]\n",
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            "12189 [D loss: 0.715406, acc.: 43.75%] [G loss: 0.804434]\n",
            "12190 [D loss: 0.686787, acc.: 50.00%] [G loss: 0.795962]\n",
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            "12198 [D loss: 0.630427, acc.: 71.88%] [G loss: 0.863268]\n",
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            "12201 [D loss: 0.673700, acc.: 68.75%] [G loss: 0.724127]\n",
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            "12210 [D loss: 0.631752, acc.: 68.75%] [G loss: 0.834119]\n",
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            "12215 [D loss: 0.643671, acc.: 46.88%] [G loss: 0.764071]\n",
            "12216 [D loss: 0.649685, acc.: 65.62%] [G loss: 0.776320]\n",
            "12217 [D loss: 0.703789, acc.: 59.38%] [G loss: 0.783189]\n",
            "12218 [D loss: 0.640997, acc.: 62.50%] [G loss: 0.808082]\n",
            "12219 [D loss: 0.641345, acc.: 59.38%] [G loss: 0.807223]\n",
            "12220 [D loss: 0.698938, acc.: 56.25%] [G loss: 0.800271]\n",
            "12221 [D loss: 0.689095, acc.: 65.62%] [G loss: 0.767573]\n",
            "12222 [D loss: 0.672714, acc.: 59.38%] [G loss: 0.749678]\n",
            "12223 [D loss: 0.794097, acc.: 46.88%] [G loss: 0.757778]\n",
            "12224 [D loss: 0.662337, acc.: 62.50%] [G loss: 0.788877]\n",
            "12225 [D loss: 0.664816, acc.: 53.12%] [G loss: 0.798810]\n",
            "12226 [D loss: 0.670770, acc.: 43.75%] [G loss: 0.773195]\n",
            "12227 [D loss: 0.714180, acc.: 43.75%] [G loss: 0.802718]\n",
            "12228 [D loss: 0.669048, acc.: 62.50%] [G loss: 0.783931]\n",
            "12229 [D loss: 0.745887, acc.: 43.75%] [G loss: 0.847949]\n",
            "12230 [D loss: 0.613378, acc.: 71.88%] [G loss: 0.767529]\n",
            "12231 [D loss: 0.688135, acc.: 46.88%] [G loss: 0.817459]\n",
            "12232 [D loss: 0.703185, acc.: 53.12%] [G loss: 0.858340]\n",
            "12233 [D loss: 0.670309, acc.: 53.12%] [G loss: 0.809101]\n",
            "12234 [D loss: 0.684510, acc.: 53.12%] [G loss: 0.769608]\n",
            "12235 [D loss: 0.685945, acc.: 56.25%] [G loss: 0.787283]\n",
            "12236 [D loss: 0.726922, acc.: 37.50%] [G loss: 0.825764]\n",
            "12237 [D loss: 0.663345, acc.: 62.50%] [G loss: 0.867044]\n",
            "12238 [D loss: 0.669681, acc.: 56.25%] [G loss: 0.868011]\n",
            "12239 [D loss: 0.687092, acc.: 53.12%] [G loss: 0.847101]\n",
            "12240 [D loss: 0.712809, acc.: 50.00%] [G loss: 0.768406]\n",
            "12241 [D loss: 0.711520, acc.: 50.00%] [G loss: 0.824234]\n",
            "12242 [D loss: 0.700793, acc.: 53.12%] [G loss: 0.813245]\n",
            "12243 [D loss: 0.654739, acc.: 65.62%] [G loss: 0.833509]\n",
            "12244 [D loss: 0.659974, acc.: 65.62%] [G loss: 0.852830]\n",
            "12245 [D loss: 0.646820, acc.: 59.38%] [G loss: 0.840007]\n",
            "12246 [D loss: 0.648036, acc.: 68.75%] [G loss: 0.798936]\n",
            "12247 [D loss: 0.687221, acc.: 59.38%] [G loss: 0.802079]\n",
            "12248 [D loss: 0.703391, acc.: 53.12%] [G loss: 0.751082]\n",
            "12249 [D loss: 0.681208, acc.: 62.50%] [G loss: 0.769357]\n",
            "12250 [D loss: 0.801580, acc.: 25.00%] [G loss: 0.768362]\n",
            "12251 [D loss: 0.654627, acc.: 56.25%] [G loss: 0.792088]\n",
            "12252 [D loss: 0.687781, acc.: 59.38%] [G loss: 0.818560]\n",
            "12253 [D loss: 0.693930, acc.: 59.38%] [G loss: 0.752732]\n",
            "12254 [D loss: 0.647463, acc.: 65.62%] [G loss: 0.807096]\n",
            "12255 [D loss: 0.641529, acc.: 65.62%] [G loss: 0.758178]\n",
            "12256 [D loss: 0.669940, acc.: 62.50%] [G loss: 0.816124]\n",
            "12257 [D loss: 0.622606, acc.: 65.62%] [G loss: 0.762200]\n",
            "12258 [D loss: 0.757112, acc.: 43.75%] [G loss: 0.774535]\n",
            "12259 [D loss: 0.649110, acc.: 65.62%] [G loss: 0.785938]\n",
            "12260 [D loss: 0.774362, acc.: 34.38%] [G loss: 0.810081]\n",
            "12261 [D loss: 0.709526, acc.: 56.25%] [G loss: 0.755567]\n",
            "12262 [D loss: 0.675954, acc.: 56.25%] [G loss: 0.794175]\n",
            "12263 [D loss: 0.718224, acc.: 46.88%] [G loss: 0.810234]\n",
            "12264 [D loss: 0.738917, acc.: 40.62%] [G loss: 0.815300]\n",
            "12265 [D loss: 0.648367, acc.: 56.25%] [G loss: 0.786680]\n",
            "12266 [D loss: 0.707222, acc.: 46.88%] [G loss: 0.754235]\n",
            "12267 [D loss: 0.670735, acc.: 59.38%] [G loss: 0.763934]\n",
            "12268 [D loss: 0.679703, acc.: 46.88%] [G loss: 0.809870]\n",
            "12269 [D loss: 0.652013, acc.: 59.38%] [G loss: 0.823351]\n",
            "12270 [D loss: 0.690267, acc.: 56.25%] [G loss: 0.844451]\n",
            "12271 [D loss: 0.721150, acc.: 40.62%] [G loss: 0.840797]\n",
            "12272 [D loss: 0.705699, acc.: 53.12%] [G loss: 0.801587]\n",
            "12273 [D loss: 0.636916, acc.: 71.88%] [G loss: 0.779131]\n",
            "12274 [D loss: 0.634790, acc.: 65.62%] [G loss: 0.750619]\n",
            "12275 [D loss: 0.627807, acc.: 68.75%] [G loss: 0.748921]\n",
            "12276 [D loss: 0.722107, acc.: 46.88%] [G loss: 0.790712]\n",
            "12277 [D loss: 0.712552, acc.: 50.00%] [G loss: 0.757661]\n",
            "12278 [D loss: 0.773390, acc.: 50.00%] [G loss: 0.748260]\n",
            "12279 [D loss: 0.670848, acc.: 59.38%] [G loss: 0.755923]\n",
            "12280 [D loss: 0.660287, acc.: 53.12%] [G loss: 0.763090]\n",
            "12281 [D loss: 0.691844, acc.: 62.50%] [G loss: 0.784703]\n",
            "12282 [D loss: 0.686370, acc.: 59.38%] [G loss: 0.741513]\n",
            "12283 [D loss: 0.657732, acc.: 62.50%] [G loss: 0.776836]\n",
            "12284 [D loss: 0.688272, acc.: 59.38%] [G loss: 0.778202]\n",
            "12285 [D loss: 0.723502, acc.: 53.12%] [G loss: 0.790231]\n",
            "12286 [D loss: 0.674348, acc.: 56.25%] [G loss: 0.815634]\n",
            "12287 [D loss: 0.630906, acc.: 71.88%] [G loss: 0.800289]\n",
            "12288 [D loss: 0.718066, acc.: 53.12%] [G loss: 0.744755]\n",
            "12289 [D loss: 0.656114, acc.: 59.38%] [G loss: 0.740565]\n",
            "12290 [D loss: 0.692539, acc.: 59.38%] [G loss: 0.775791]\n",
            "12291 [D loss: 0.633408, acc.: 68.75%] [G loss: 0.821047]\n",
            "12292 [D loss: 0.676052, acc.: 53.12%] [G loss: 0.824753]\n",
            "12293 [D loss: 0.694585, acc.: 62.50%] [G loss: 0.861553]\n",
            "12294 [D loss: 0.651652, acc.: 62.50%] [G loss: 0.875380]\n",
            "12295 [D loss: 0.663875, acc.: 68.75%] [G loss: 0.841364]\n",
            "12296 [D loss: 0.687105, acc.: 59.38%] [G loss: 0.835219]\n",
            "12297 [D loss: 0.642942, acc.: 62.50%] [G loss: 0.822580]\n",
            "12298 [D loss: 0.692380, acc.: 56.25%] [G loss: 0.821451]\n",
            "12299 [D loss: 0.664934, acc.: 65.62%] [G loss: 0.863290]\n",
            "12300 [D loss: 0.702877, acc.: 56.25%] [G loss: 0.851838]\n",
            "12301 [D loss: 0.673975, acc.: 53.12%] [G loss: 0.806285]\n",
            "12302 [D loss: 0.652590, acc.: 68.75%] [G loss: 0.836380]\n",
            "12303 [D loss: 0.664927, acc.: 56.25%] [G loss: 0.836097]\n",
            "12304 [D loss: 0.727332, acc.: 50.00%] [G loss: 0.866737]\n",
            "12305 [D loss: 0.693526, acc.: 50.00%] [G loss: 0.771903]\n",
            "12306 [D loss: 0.644505, acc.: 65.62%] [G loss: 0.758466]\n",
            "12307 [D loss: 0.655933, acc.: 62.50%] [G loss: 0.813743]\n",
            "12308 [D loss: 0.719741, acc.: 53.12%] [G loss: 0.737417]\n",
            "12309 [D loss: 0.612083, acc.: 71.88%] [G loss: 0.735855]\n",
            "12310 [D loss: 0.703101, acc.: 59.38%] [G loss: 0.788061]\n",
            "12311 [D loss: 0.656538, acc.: 59.38%] [G loss: 0.757342]\n",
            "12312 [D loss: 0.701681, acc.: 50.00%] [G loss: 0.799359]\n",
            "12313 [D loss: 0.722370, acc.: 53.12%] [G loss: 0.741804]\n",
            "12314 [D loss: 0.711507, acc.: 62.50%] [G loss: 0.786941]\n",
            "12315 [D loss: 0.702935, acc.: 56.25%] [G loss: 0.844888]\n",
            "12316 [D loss: 0.722353, acc.: 50.00%] [G loss: 0.890954]\n",
            "12317 [D loss: 0.730781, acc.: 46.88%] [G loss: 0.820482]\n",
            "12318 [D loss: 0.705959, acc.: 50.00%] [G loss: 0.890473]\n",
            "12319 [D loss: 0.631430, acc.: 68.75%] [G loss: 0.806743]\n",
            "12320 [D loss: 0.630806, acc.: 68.75%] [G loss: 0.845169]\n",
            "12321 [D loss: 0.620526, acc.: 68.75%] [G loss: 0.874469]\n",
            "12322 [D loss: 0.727308, acc.: 50.00%] [G loss: 0.848746]\n",
            "12323 [D loss: 0.726643, acc.: 56.25%] [G loss: 0.805538]\n",
            "12324 [D loss: 0.657736, acc.: 59.38%] [G loss: 0.852645]\n",
            "12325 [D loss: 0.649556, acc.: 71.88%] [G loss: 0.847698]\n",
            "12326 [D loss: 0.663948, acc.: 62.50%] [G loss: 0.819560]\n",
            "12327 [D loss: 0.713136, acc.: 53.12%] [G loss: 0.770418]\n",
            "12328 [D loss: 0.645377, acc.: 53.12%] [G loss: 0.768000]\n",
            "12329 [D loss: 0.654488, acc.: 65.62%] [G loss: 0.844145]\n",
            "12330 [D loss: 0.678826, acc.: 56.25%] [G loss: 0.784376]\n",
            "12331 [D loss: 0.651841, acc.: 56.25%] [G loss: 0.794606]\n",
            "12332 [D loss: 0.763962, acc.: 40.62%] [G loss: 0.770242]\n",
            "12333 [D loss: 0.720451, acc.: 50.00%] [G loss: 0.848027]\n",
            "12334 [D loss: 0.663785, acc.: 65.62%] [G loss: 0.758664]\n",
            "12335 [D loss: 0.734939, acc.: 53.12%] [G loss: 0.942816]\n",
            "12336 [D loss: 0.673046, acc.: 59.38%] [G loss: 0.876853]\n",
            "12337 [D loss: 0.666217, acc.: 59.38%] [G loss: 0.807018]\n",
            "12338 [D loss: 0.721932, acc.: 50.00%] [G loss: 0.770965]\n",
            "12339 [D loss: 0.682745, acc.: 50.00%] [G loss: 0.746059]\n",
            "12340 [D loss: 0.645215, acc.: 68.75%] [G loss: 0.779821]\n",
            "12341 [D loss: 0.765340, acc.: 53.12%] [G loss: 0.783526]\n",
            "12342 [D loss: 0.663143, acc.: 62.50%] [G loss: 0.796804]\n",
            "12343 [D loss: 0.714922, acc.: 56.25%] [G loss: 0.782355]\n",
            "12344 [D loss: 0.664505, acc.: 53.12%] [G loss: 0.810042]\n",
            "12345 [D loss: 0.745469, acc.: 43.75%] [G loss: 0.777953]\n",
            "12346 [D loss: 0.701403, acc.: 46.88%] [G loss: 0.739912]\n",
            "12347 [D loss: 0.651741, acc.: 56.25%] [G loss: 0.787133]\n",
            "12348 [D loss: 0.723299, acc.: 59.38%] [G loss: 0.825350]\n",
            "12349 [D loss: 0.721674, acc.: 46.88%] [G loss: 0.860021]\n",
            "12350 [D loss: 0.729246, acc.: 40.62%] [G loss: 0.843090]\n",
            "12351 [D loss: 0.655712, acc.: 59.38%] [G loss: 0.836593]\n",
            "12352 [D loss: 0.680791, acc.: 56.25%] [G loss: 0.803246]\n",
            "12353 [D loss: 0.668558, acc.: 68.75%] [G loss: 0.809800]\n",
            "12354 [D loss: 0.715070, acc.: 43.75%] [G loss: 0.796628]\n",
            "12355 [D loss: 0.659213, acc.: 56.25%] [G loss: 0.807996]\n",
            "12356 [D loss: 0.599820, acc.: 68.75%] [G loss: 0.851965]\n",
            "12357 [D loss: 0.643744, acc.: 56.25%] [G loss: 0.821123]\n",
            "12358 [D loss: 0.722261, acc.: 40.62%] [G loss: 0.801305]\n",
            "12359 [D loss: 0.679417, acc.: 53.12%] [G loss: 0.796332]\n",
            "12360 [D loss: 0.707699, acc.: 46.88%] [G loss: 0.799386]\n",
            "12361 [D loss: 0.619240, acc.: 62.50%] [G loss: 0.800216]\n",
            "12362 [D loss: 0.640992, acc.: 68.75%] [G loss: 0.790152]\n",
            "12363 [D loss: 0.678262, acc.: 62.50%] [G loss: 0.765961]\n",
            "12364 [D loss: 0.699774, acc.: 56.25%] [G loss: 0.744743]\n",
            "12365 [D loss: 0.661987, acc.: 62.50%] [G loss: 0.771587]\n",
            "12366 [D loss: 0.666443, acc.: 62.50%] [G loss: 0.740174]\n",
            "12367 [D loss: 0.700776, acc.: 53.12%] [G loss: 0.753135]\n",
            "12368 [D loss: 0.639408, acc.: 62.50%] [G loss: 0.759028]\n",
            "12369 [D loss: 0.720138, acc.: 43.75%] [G loss: 0.846315]\n",
            "12370 [D loss: 0.673658, acc.: 50.00%] [G loss: 0.816889]\n",
            "12371 [D loss: 0.663844, acc.: 56.25%] [G loss: 0.863772]\n",
            "12372 [D loss: 0.756578, acc.: 34.38%] [G loss: 0.794109]\n",
            "12373 [D loss: 0.609116, acc.: 62.50%] [G loss: 0.773497]\n",
            "12374 [D loss: 0.636485, acc.: 75.00%] [G loss: 0.748243]\n",
            "12375 [D loss: 0.703058, acc.: 56.25%] [G loss: 0.725960]\n",
            "12376 [D loss: 0.717763, acc.: 50.00%] [G loss: 0.807072]\n",
            "12377 [D loss: 0.723164, acc.: 50.00%] [G loss: 0.862612]\n",
            "12378 [D loss: 0.704343, acc.: 56.25%] [G loss: 0.788023]\n",
            "12379 [D loss: 0.697979, acc.: 53.12%] [G loss: 0.820398]\n",
            "12380 [D loss: 0.691552, acc.: 53.12%] [G loss: 0.852338]\n",
            "12381 [D loss: 0.677215, acc.: 65.62%] [G loss: 0.797717]\n",
            "12382 [D loss: 0.685329, acc.: 50.00%] [G loss: 0.768240]\n",
            "12383 [D loss: 0.704221, acc.: 46.88%] [G loss: 0.788827]\n",
            "12384 [D loss: 0.671664, acc.: 59.38%] [G loss: 0.739456]\n",
            "12385 [D loss: 0.684453, acc.: 53.12%] [G loss: 0.814881]\n",
            "12386 [D loss: 0.747810, acc.: 43.75%] [G loss: 0.835542]\n",
            "12387 [D loss: 0.623642, acc.: 71.88%] [G loss: 0.788035]\n",
            "12388 [D loss: 0.668218, acc.: 59.38%] [G loss: 0.738736]\n",
            "12389 [D loss: 0.759856, acc.: 40.62%] [G loss: 0.707469]\n",
            "12390 [D loss: 0.699496, acc.: 43.75%] [G loss: 0.797308]\n",
            "12391 [D loss: 0.685204, acc.: 56.25%] [G loss: 0.832166]\n",
            "12392 [D loss: 0.702698, acc.: 46.88%] [G loss: 0.793678]\n",
            "12393 [D loss: 0.685083, acc.: 62.50%] [G loss: 0.836359]\n",
            "12394 [D loss: 0.729331, acc.: 46.88%] [G loss: 0.833324]\n",
            "12395 [D loss: 0.729551, acc.: 46.88%] [G loss: 0.793855]\n",
            "12396 [D loss: 0.707557, acc.: 56.25%] [G loss: 0.780169]\n",
            "12397 [D loss: 0.637110, acc.: 71.88%] [G loss: 0.838818]\n",
            "12398 [D loss: 0.700414, acc.: 53.12%] [G loss: 0.770381]\n",
            "12399 [D loss: 0.682176, acc.: 59.38%] [G loss: 0.768890]\n",
            "12400 [D loss: 0.641944, acc.: 68.75%] [G loss: 0.757944]\n",
            "12401 [D loss: 0.717212, acc.: 40.62%] [G loss: 0.772617]\n",
            "12402 [D loss: 0.677233, acc.: 50.00%] [G loss: 0.715788]\n",
            "12403 [D loss: 0.732862, acc.: 56.25%] [G loss: 0.787425]\n",
            "12404 [D loss: 0.685681, acc.: 53.12%] [G loss: 0.800757]\n",
            "12405 [D loss: 0.685349, acc.: 56.25%] [G loss: 0.752024]\n",
            "12406 [D loss: 0.709306, acc.: 50.00%] [G loss: 0.796681]\n",
            "12407 [D loss: 0.643126, acc.: 59.38%] [G loss: 0.784095]\n",
            "12408 [D loss: 0.729178, acc.: 46.88%] [G loss: 0.743502]\n",
            "12409 [D loss: 0.675088, acc.: 59.38%] [G loss: 0.774045]\n",
            "12410 [D loss: 0.658994, acc.: 62.50%] [G loss: 0.769942]\n",
            "12411 [D loss: 0.686011, acc.: 62.50%] [G loss: 0.797465]\n",
            "12412 [D loss: 0.693363, acc.: 56.25%] [G loss: 0.759348]\n",
            "12413 [D loss: 0.724260, acc.: 40.62%] [G loss: 0.783686]\n",
            "12414 [D loss: 0.638162, acc.: 62.50%] [G loss: 0.799014]\n",
            "12415 [D loss: 0.688992, acc.: 56.25%] [G loss: 0.821966]\n",
            "12416 [D loss: 0.657934, acc.: 62.50%] [G loss: 0.829492]\n",
            "12417 [D loss: 0.623277, acc.: 75.00%] [G loss: 0.822593]\n",
            "12418 [D loss: 0.654210, acc.: 56.25%] [G loss: 0.811309]\n",
            "12419 [D loss: 0.693195, acc.: 53.12%] [G loss: 0.848455]\n",
            "12420 [D loss: 0.635733, acc.: 62.50%] [G loss: 0.868904]\n",
            "12421 [D loss: 0.677938, acc.: 53.12%] [G loss: 0.931333]\n",
            "12422 [D loss: 0.741012, acc.: 46.88%] [G loss: 0.844695]\n",
            "12423 [D loss: 0.653825, acc.: 50.00%] [G loss: 0.881562]\n",
            "12424 [D loss: 0.735654, acc.: 46.88%] [G loss: 0.759619]\n",
            "12425 [D loss: 0.697113, acc.: 53.12%] [G loss: 0.773032]\n",
            "12426 [D loss: 0.655878, acc.: 65.62%] [G loss: 0.787014]\n",
            "12427 [D loss: 0.718852, acc.: 43.75%] [G loss: 0.837837]\n",
            "12428 [D loss: 0.684089, acc.: 65.62%] [G loss: 0.772864]\n",
            "12429 [D loss: 0.637555, acc.: 68.75%] [G loss: 0.777067]\n",
            "12430 [D loss: 0.705668, acc.: 37.50%] [G loss: 0.734012]\n",
            "12431 [D loss: 0.716480, acc.: 53.12%] [G loss: 0.790727]\n",
            "12432 [D loss: 0.691644, acc.: 50.00%] [G loss: 0.792218]\n",
            "12433 [D loss: 0.642457, acc.: 65.62%] [G loss: 0.837885]\n",
            "12434 [D loss: 0.637243, acc.: 68.75%] [G loss: 0.817580]\n",
            "12435 [D loss: 0.619326, acc.: 71.88%] [G loss: 0.847466]\n",
            "12436 [D loss: 0.663901, acc.: 59.38%] [G loss: 0.900329]\n",
            "12437 [D loss: 0.648289, acc.: 53.12%] [G loss: 0.814098]\n",
            "12438 [D loss: 0.714054, acc.: 65.62%] [G loss: 0.740062]\n",
            "12439 [D loss: 0.668129, acc.: 46.88%] [G loss: 0.727136]\n",
            "12440 [D loss: 0.669749, acc.: 56.25%] [G loss: 0.741647]\n",
            "12441 [D loss: 0.587262, acc.: 78.12%] [G loss: 0.805713]\n",
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            "12444 [D loss: 0.680786, acc.: 65.62%] [G loss: 0.702273]\n",
            "12445 [D loss: 0.774771, acc.: 37.50%] [G loss: 0.704508]\n",
            "12446 [D loss: 0.718596, acc.: 50.00%] [G loss: 0.757462]\n",
            "12447 [D loss: 0.718593, acc.: 46.88%] [G loss: 0.792434]\n",
            "12448 [D loss: 0.717050, acc.: 65.62%] [G loss: 0.813004]\n",
            "12449 [D loss: 0.730891, acc.: 43.75%] [G loss: 0.797780]\n",
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            "12451 [D loss: 0.674779, acc.: 53.12%] [G loss: 0.784676]\n",
            "12452 [D loss: 0.739729, acc.: 34.38%] [G loss: 0.834086]\n",
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            "12455 [D loss: 0.657792, acc.: 56.25%] [G loss: 0.833704]\n",
            "12456 [D loss: 0.594895, acc.: 78.12%] [G loss: 0.922413]\n",
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            "12458 [D loss: 0.656884, acc.: 62.50%] [G loss: 0.848595]\n",
            "12459 [D loss: 0.691022, acc.: 56.25%] [G loss: 0.836381]\n",
            "12460 [D loss: 0.685224, acc.: 53.12%] [G loss: 0.838786]\n",
            "12461 [D loss: 0.675317, acc.: 56.25%] [G loss: 0.855168]\n",
            "12462 [D loss: 0.696506, acc.: 53.12%] [G loss: 0.830651]\n",
            "12463 [D loss: 0.660425, acc.: 56.25%] [G loss: 0.846752]\n",
            "12464 [D loss: 0.682709, acc.: 50.00%] [G loss: 0.876531]\n",
            "12465 [D loss: 0.702049, acc.: 50.00%] [G loss: 0.808397]\n",
            "12466 [D loss: 0.616183, acc.: 68.75%] [G loss: 0.792146]\n",
            "12467 [D loss: 0.711131, acc.: 50.00%] [G loss: 0.819999]\n",
            "12468 [D loss: 0.643835, acc.: 59.38%] [G loss: 0.848312]\n",
            "12469 [D loss: 0.688895, acc.: 50.00%] [G loss: 0.852777]\n",
            "12470 [D loss: 0.761669, acc.: 43.75%] [G loss: 0.812419]\n",
            "12471 [D loss: 0.685454, acc.: 59.38%] [G loss: 0.821655]\n",
            "12472 [D loss: 0.670105, acc.: 59.38%] [G loss: 0.814241]\n",
            "12473 [D loss: 0.644925, acc.: 62.50%] [G loss: 0.834234]\n",
            "12474 [D loss: 0.730541, acc.: 56.25%] [G loss: 0.807664]\n",
            "12475 [D loss: 0.710627, acc.: 50.00%] [G loss: 0.775326]\n",
            "12476 [D loss: 0.721561, acc.: 56.25%] [G loss: 0.803824]\n",
            "12477 [D loss: 0.684550, acc.: 62.50%] [G loss: 0.845704]\n",
            "12478 [D loss: 0.704125, acc.: 59.38%] [G loss: 0.805892]\n",
            "12479 [D loss: 0.657890, acc.: 62.50%] [G loss: 0.778213]\n",
            "12480 [D loss: 0.693973, acc.: 56.25%] [G loss: 0.806496]\n",
            "12481 [D loss: 0.733383, acc.: 37.50%] [G loss: 0.769033]\n",
            "12482 [D loss: 0.648167, acc.: 59.38%] [G loss: 0.736882]\n",
            "12483 [D loss: 0.765349, acc.: 40.62%] [G loss: 0.809609]\n",
            "12484 [D loss: 0.647528, acc.: 56.25%] [G loss: 0.758441]\n",
            "12485 [D loss: 0.633618, acc.: 62.50%] [G loss: 0.759311]\n",
            "12486 [D loss: 0.749297, acc.: 43.75%] [G loss: 0.761061]\n",
            "12487 [D loss: 0.640585, acc.: 65.62%] [G loss: 0.790547]\n",
            "12488 [D loss: 0.710405, acc.: 46.88%] [G loss: 0.752611]\n",
            "12489 [D loss: 0.717794, acc.: 46.88%] [G loss: 0.774531]\n",
            "12490 [D loss: 0.633942, acc.: 65.62%] [G loss: 0.776765]\n",
            "12491 [D loss: 0.647146, acc.: 62.50%] [G loss: 0.809205]\n",
            "12492 [D loss: 0.717203, acc.: 65.62%] [G loss: 0.818511]\n",
            "12493 [D loss: 0.668497, acc.: 56.25%] [G loss: 0.839306]\n",
            "12494 [D loss: 0.709428, acc.: 62.50%] [G loss: 0.834075]\n",
            "12495 [D loss: 0.736030, acc.: 37.50%] [G loss: 0.814466]\n",
            "12496 [D loss: 0.748122, acc.: 43.75%] [G loss: 0.900046]\n",
            "12497 [D loss: 0.687738, acc.: 59.38%] [G loss: 0.881140]\n",
            "12498 [D loss: 0.634352, acc.: 65.62%] [G loss: 0.836959]\n",
            "12499 [D loss: 0.670312, acc.: 50.00%] [G loss: 0.792204]\n",
            "12500 [D loss: 0.653422, acc.: 62.50%] [G loss: 0.810768]\n",
            "12501 [D loss: 0.717988, acc.: 50.00%] [G loss: 0.815471]\n",
            "12502 [D loss: 0.645371, acc.: 59.38%] [G loss: 0.837870]\n",
            "12503 [D loss: 0.703173, acc.: 40.62%] [G loss: 0.817995]\n",
            "12504 [D loss: 0.686854, acc.: 62.50%] [G loss: 0.848108]\n",
            "12505 [D loss: 0.708865, acc.: 50.00%] [G loss: 0.812489]\n",
            "12506 [D loss: 0.625934, acc.: 71.88%] [G loss: 0.811573]\n",
            "12507 [D loss: 0.716620, acc.: 50.00%] [G loss: 0.798867]\n",
            "12508 [D loss: 0.693505, acc.: 53.12%] [G loss: 0.760724]\n",
            "12509 [D loss: 0.765650, acc.: 37.50%] [G loss: 0.803851]\n",
            "12510 [D loss: 0.703435, acc.: 46.88%] [G loss: 0.855544]\n",
            "12511 [D loss: 0.677606, acc.: 68.75%] [G loss: 0.892420]\n",
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            "12513 [D loss: 0.771004, acc.: 43.75%] [G loss: 0.798556]\n",
            "12514 [D loss: 0.643265, acc.: 68.75%] [G loss: 0.824115]\n",
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            "12519 [D loss: 0.720553, acc.: 43.75%] [G loss: 0.755020]\n",
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            "12525 [D loss: 0.626250, acc.: 68.75%] [G loss: 0.796929]\n",
            "12526 [D loss: 0.672913, acc.: 59.38%] [G loss: 0.785541]\n",
            "12527 [D loss: 0.592076, acc.: 71.88%] [G loss: 0.825514]\n",
            "12528 [D loss: 0.679344, acc.: 53.12%] [G loss: 0.804172]\n",
            "12529 [D loss: 0.660987, acc.: 56.25%] [G loss: 0.742066]\n",
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            "12531 [D loss: 0.758256, acc.: 46.88%] [G loss: 0.777150]\n",
            "12532 [D loss: 0.714074, acc.: 56.25%] [G loss: 0.713361]\n",
            "12533 [D loss: 0.709649, acc.: 43.75%] [G loss: 0.788303]\n",
            "12534 [D loss: 0.664130, acc.: 59.38%] [G loss: 0.779521]\n",
            "12535 [D loss: 0.638555, acc.: 68.75%] [G loss: 0.832227]\n",
            "12536 [D loss: 0.697341, acc.: 56.25%] [G loss: 0.846702]\n",
            "12537 [D loss: 0.669458, acc.: 59.38%] [G loss: 0.804333]\n",
            "12538 [D loss: 0.703061, acc.: 50.00%] [G loss: 0.828180]\n",
            "12539 [D loss: 0.667614, acc.: 59.38%] [G loss: 0.794622]\n",
            "12540 [D loss: 0.663536, acc.: 62.50%] [G loss: 0.849070]\n",
            "12541 [D loss: 0.732958, acc.: 50.00%] [G loss: 0.745239]\n",
            "12542 [D loss: 0.714846, acc.: 37.50%] [G loss: 0.797722]\n",
            "12543 [D loss: 0.679831, acc.: 56.25%] [G loss: 0.768213]\n",
            "12544 [D loss: 0.684967, acc.: 50.00%] [G loss: 0.702973]\n",
            "12545 [D loss: 0.613023, acc.: 62.50%] [G loss: 0.743504]\n",
            "12546 [D loss: 0.683964, acc.: 56.25%] [G loss: 0.774140]\n",
            "12547 [D loss: 0.702801, acc.: 53.12%] [G loss: 0.761027]\n",
            "12548 [D loss: 0.693163, acc.: 53.12%] [G loss: 0.809520]\n",
            "12549 [D loss: 0.707348, acc.: 37.50%] [G loss: 0.840108]\n",
            "12550 [D loss: 0.639263, acc.: 71.88%] [G loss: 0.855717]\n",
            "12551 [D loss: 0.689880, acc.: 59.38%] [G loss: 0.839898]\n",
            "12552 [D loss: 0.683239, acc.: 53.12%] [G loss: 0.783419]\n",
            "12553 [D loss: 0.737907, acc.: 43.75%] [G loss: 0.760727]\n",
            "12554 [D loss: 0.659664, acc.: 65.62%] [G loss: 0.827618]\n",
            "12555 [D loss: 0.641090, acc.: 62.50%] [G loss: 0.786577]\n",
            "12556 [D loss: 0.663768, acc.: 56.25%] [G loss: 0.821006]\n",
            "12557 [D loss: 0.709254, acc.: 46.88%] [G loss: 0.858261]\n",
            "12558 [D loss: 0.652624, acc.: 56.25%] [G loss: 0.834447]\n",
            "12559 [D loss: 0.639506, acc.: 68.75%] [G loss: 0.796029]\n",
            "12560 [D loss: 0.741096, acc.: 40.62%] [G loss: 0.784947]\n",
            "12561 [D loss: 0.711478, acc.: 46.88%] [G loss: 0.833121]\n",
            "12562 [D loss: 0.623844, acc.: 59.38%] [G loss: 0.870222]\n",
            "12563 [D loss: 0.701796, acc.: 56.25%] [G loss: 0.789263]\n",
            "12564 [D loss: 0.642939, acc.: 68.75%] [G loss: 0.872252]\n",
            "12565 [D loss: 0.718757, acc.: 50.00%] [G loss: 0.867492]\n",
            "12566 [D loss: 0.674921, acc.: 59.38%] [G loss: 0.807563]\n",
            "12567 [D loss: 0.610816, acc.: 71.88%] [G loss: 0.820661]\n",
            "12568 [D loss: 0.737285, acc.: 50.00%] [G loss: 0.784320]\n",
            "12569 [D loss: 0.702380, acc.: 59.38%] [G loss: 0.812171]\n",
            "12570 [D loss: 0.698183, acc.: 37.50%] [G loss: 0.736017]\n",
            "12571 [D loss: 0.677942, acc.: 59.38%] [G loss: 0.767369]\n",
            "12572 [D loss: 0.666623, acc.: 53.12%] [G loss: 0.762735]\n",
            "12573 [D loss: 0.674712, acc.: 53.12%] [G loss: 0.824634]\n",
            "12574 [D loss: 0.635128, acc.: 65.62%] [G loss: 0.830918]\n",
            "12575 [D loss: 0.650968, acc.: 62.50%] [G loss: 0.833177]\n",
            "12576 [D loss: 0.734819, acc.: 53.12%] [G loss: 0.774306]\n",
            "12577 [D loss: 0.651567, acc.: 68.75%] [G loss: 0.790128]\n",
            "12578 [D loss: 0.702911, acc.: 46.88%] [G loss: 0.765088]\n",
            "12579 [D loss: 0.642807, acc.: 65.62%] [G loss: 0.757276]\n",
            "12580 [D loss: 0.677230, acc.: 65.62%] [G loss: 0.743584]\n",
            "12581 [D loss: 0.685915, acc.: 56.25%] [G loss: 0.725628]\n",
            "12582 [D loss: 0.708067, acc.: 53.12%] [G loss: 0.804936]\n",
            "12583 [D loss: 0.663029, acc.: 62.50%] [G loss: 0.787576]\n",
            "12584 [D loss: 0.694270, acc.: 50.00%] [G loss: 0.816758]\n",
            "12585 [D loss: 0.666026, acc.: 59.38%] [G loss: 0.829714]\n",
            "12586 [D loss: 0.719108, acc.: 46.88%] [G loss: 0.805823]\n",
            "12587 [D loss: 0.682981, acc.: 53.12%] [G loss: 0.797060]\n",
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            "12589 [D loss: 0.661371, acc.: 59.38%] [G loss: 0.840355]\n",
            "12590 [D loss: 0.689282, acc.: 53.12%] [G loss: 0.773400]\n",
            "12591 [D loss: 0.739977, acc.: 43.75%] [G loss: 0.815888]\n",
            "12592 [D loss: 0.672455, acc.: 53.12%] [G loss: 0.839216]\n",
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            "12594 [D loss: 0.688696, acc.: 43.75%] [G loss: 0.832506]\n",
            "12595 [D loss: 0.716569, acc.: 46.88%] [G loss: 0.783760]\n",
            "12596 [D loss: 0.706941, acc.: 56.25%] [G loss: 0.839779]\n",
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            "12599 [D loss: 0.607385, acc.: 65.62%] [G loss: 0.782982]\n",
            "12600 [D loss: 0.729019, acc.: 46.88%] [G loss: 0.824191]\n",
            "12601 [D loss: 0.654200, acc.: 56.25%] [G loss: 0.770757]\n",
            "12602 [D loss: 0.683204, acc.: 46.88%] [G loss: 0.788596]\n",
            "12603 [D loss: 0.727905, acc.: 53.12%] [G loss: 0.846876]\n",
            "12604 [D loss: 0.661092, acc.: 59.38%] [G loss: 0.799956]\n",
            "12605 [D loss: 0.650479, acc.: 50.00%] [G loss: 0.807353]\n",
            "12606 [D loss: 0.693924, acc.: 59.38%] [G loss: 0.821074]\n",
            "12607 [D loss: 0.752473, acc.: 53.12%] [G loss: 0.811381]\n",
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            "12610 [D loss: 0.707132, acc.: 53.12%] [G loss: 0.717620]\n",
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            "12612 [D loss: 0.630294, acc.: 62.50%] [G loss: 0.759050]\n",
            "12613 [D loss: 0.743471, acc.: 46.88%] [G loss: 0.792358]\n",
            "12614 [D loss: 0.704715, acc.: 50.00%] [G loss: 0.789867]\n",
            "12615 [D loss: 0.595910, acc.: 84.38%] [G loss: 0.823065]\n",
            "12616 [D loss: 0.638003, acc.: 68.75%] [G loss: 0.826556]\n",
            "12617 [D loss: 0.634574, acc.: 71.88%] [G loss: 0.842031]\n",
            "12618 [D loss: 0.678908, acc.: 56.25%] [G loss: 0.821751]\n",
            "12619 [D loss: 0.714363, acc.: 53.12%] [G loss: 0.831046]\n",
            "12620 [D loss: 0.667088, acc.: 50.00%] [G loss: 0.812280]\n",
            "12621 [D loss: 0.689951, acc.: 50.00%] [G loss: 0.785347]\n",
            "12622 [D loss: 0.629989, acc.: 71.88%] [G loss: 0.753950]\n",
            "12623 [D loss: 0.645138, acc.: 53.12%] [G loss: 0.783457]\n",
            "12624 [D loss: 0.719739, acc.: 56.25%] [G loss: 0.770281]\n",
            "12625 [D loss: 0.744986, acc.: 43.75%] [G loss: 0.735151]\n",
            "12626 [D loss: 0.697821, acc.: 53.12%] [G loss: 0.770072]\n",
            "12627 [D loss: 0.667090, acc.: 50.00%] [G loss: 0.813833]\n",
            "12628 [D loss: 0.680675, acc.: 53.12%] [G loss: 0.792640]\n",
            "12629 [D loss: 0.602546, acc.: 68.75%] [G loss: 0.746133]\n",
            "12630 [D loss: 0.746365, acc.: 50.00%] [G loss: 0.814403]\n",
            "12631 [D loss: 0.611563, acc.: 65.62%] [G loss: 0.816226]\n",
            "12632 [D loss: 0.686147, acc.: 50.00%] [G loss: 0.803378]\n",
            "12633 [D loss: 0.656243, acc.: 50.00%] [G loss: 0.793183]\n",
            "12634 [D loss: 0.670432, acc.: 59.38%] [G loss: 0.755739]\n",
            "12635 [D loss: 0.745704, acc.: 53.12%] [G loss: 0.805989]\n",
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            "12637 [D loss: 0.773392, acc.: 46.88%] [G loss: 0.824626]\n",
            "12638 [D loss: 0.715374, acc.: 56.25%] [G loss: 0.847811]\n",
            "12639 [D loss: 0.670129, acc.: 56.25%] [G loss: 0.892725]\n",
            "12640 [D loss: 0.712067, acc.: 40.62%] [G loss: 0.818018]\n",
            "12641 [D loss: 0.679719, acc.: 59.38%] [G loss: 0.912967]\n",
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            "12644 [D loss: 0.593876, acc.: 71.88%] [G loss: 0.872576]\n",
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            "12647 [D loss: 0.759324, acc.: 50.00%] [G loss: 0.845497]\n",
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            "12650 [D loss: 0.671048, acc.: 65.62%] [G loss: 0.737830]\n",
            "12651 [D loss: 0.673712, acc.: 50.00%] [G loss: 0.699863]\n",
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            "12654 [D loss: 0.756352, acc.: 40.62%] [G loss: 0.788563]\n",
            "12655 [D loss: 0.606175, acc.: 84.38%] [G loss: 0.807848]\n",
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            "12664 [D loss: 0.726256, acc.: 46.88%] [G loss: 0.692703]\n",
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            "12671 [D loss: 0.665567, acc.: 56.25%] [G loss: 0.821653]\n",
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            "12687 [D loss: 0.615140, acc.: 68.75%] [G loss: 0.811223]\n",
            "12688 [D loss: 0.723693, acc.: 43.75%] [G loss: 0.806965]\n",
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            "12690 [D loss: 0.674995, acc.: 56.25%] [G loss: 0.789667]\n",
            "12691 [D loss: 0.736965, acc.: 46.88%] [G loss: 0.790520]\n",
            "12692 [D loss: 0.732357, acc.: 43.75%] [G loss: 0.783227]\n",
            "12693 [D loss: 0.665692, acc.: 62.50%] [G loss: 0.823519]\n",
            "12694 [D loss: 0.642634, acc.: 59.38%] [G loss: 0.856078]\n",
            "12695 [D loss: 0.704678, acc.: 46.88%] [G loss: 0.819085]\n",
            "12696 [D loss: 0.604881, acc.: 62.50%] [G loss: 0.833673]\n",
            "12697 [D loss: 0.695748, acc.: 65.62%] [G loss: 0.819197]\n",
            "12698 [D loss: 0.676686, acc.: 56.25%] [G loss: 0.772974]\n",
            "12699 [D loss: 0.741755, acc.: 43.75%] [G loss: 0.746004]\n",
            "12700 [D loss: 0.733869, acc.: 43.75%] [G loss: 0.770483]\n",
            "12701 [D loss: 0.623085, acc.: 62.50%] [G loss: 0.792437]\n",
            "12702 [D loss: 0.664605, acc.: 62.50%] [G loss: 0.798340]\n",
            "12703 [D loss: 0.770586, acc.: 43.75%] [G loss: 0.819463]\n",
            "12704 [D loss: 0.572726, acc.: 81.25%] [G loss: 0.788861]\n",
            "12705 [D loss: 0.699046, acc.: 50.00%] [G loss: 0.761745]\n",
            "12706 [D loss: 0.654706, acc.: 53.12%] [G loss: 0.807690]\n",
            "12707 [D loss: 0.752181, acc.: 43.75%] [G loss: 0.798386]\n",
            "12708 [D loss: 0.700427, acc.: 59.38%] [G loss: 0.860304]\n",
            "12709 [D loss: 0.680916, acc.: 56.25%] [G loss: 0.891434]\n",
            "12710 [D loss: 0.621325, acc.: 78.12%] [G loss: 0.857640]\n",
            "12711 [D loss: 0.692865, acc.: 53.12%] [G loss: 0.864560]\n",
            "12712 [D loss: 0.748556, acc.: 31.25%] [G loss: 0.805272]\n",
            "12713 [D loss: 0.662044, acc.: 56.25%] [G loss: 0.835722]\n",
            "12714 [D loss: 0.677118, acc.: 56.25%] [G loss: 0.808859]\n",
            "12715 [D loss: 0.688443, acc.: 50.00%] [G loss: 0.815148]\n",
            "12716 [D loss: 0.702169, acc.: 43.75%] [G loss: 0.827291]\n",
            "12717 [D loss: 0.697702, acc.: 53.12%] [G loss: 0.792954]\n",
            "12718 [D loss: 0.660562, acc.: 59.38%] [G loss: 0.774446]\n",
            "12719 [D loss: 0.765016, acc.: 31.25%] [G loss: 0.790674]\n",
            "12720 [D loss: 0.667504, acc.: 59.38%] [G loss: 0.766942]\n",
            "12721 [D loss: 0.666497, acc.: 56.25%] [G loss: 0.724792]\n",
            "12722 [D loss: 0.684092, acc.: 56.25%] [G loss: 0.772404]\n",
            "12723 [D loss: 0.686769, acc.: 62.50%] [G loss: 0.776732]\n",
            "12724 [D loss: 0.674763, acc.: 62.50%] [G loss: 0.795002]\n",
            "12725 [D loss: 0.766218, acc.: 34.38%] [G loss: 0.856676]\n",
            "12726 [D loss: 0.662383, acc.: 59.38%] [G loss: 0.834549]\n",
            "12727 [D loss: 0.682895, acc.: 62.50%] [G loss: 0.907793]\n",
            "12728 [D loss: 0.740020, acc.: 53.12%] [G loss: 0.901976]\n",
            "12729 [D loss: 0.732900, acc.: 53.12%] [G loss: 0.863674]\n",
            "12730 [D loss: 0.714270, acc.: 50.00%] [G loss: 0.880589]\n",
            "12731 [D loss: 0.661332, acc.: 53.12%] [G loss: 0.856862]\n",
            "12732 [D loss: 0.654076, acc.: 56.25%] [G loss: 0.816032]\n",
            "12733 [D loss: 0.720991, acc.: 43.75%] [G loss: 0.844811]\n",
            "12734 [D loss: 0.660113, acc.: 62.50%] [G loss: 0.790752]\n",
            "12735 [D loss: 0.638493, acc.: 71.88%] [G loss: 0.854558]\n",
            "12736 [D loss: 0.631700, acc.: 65.62%] [G loss: 0.831092]\n",
            "12737 [D loss: 0.669343, acc.: 59.38%] [G loss: 0.838101]\n",
            "12738 [D loss: 0.658725, acc.: 75.00%] [G loss: 0.790157]\n",
            "12739 [D loss: 0.695122, acc.: 50.00%] [G loss: 0.796832]\n",
            "12740 [D loss: 0.713010, acc.: 50.00%] [G loss: 0.804202]\n",
            "12741 [D loss: 0.718063, acc.: 50.00%] [G loss: 0.819486]\n",
            "12742 [D loss: 0.657342, acc.: 56.25%] [G loss: 0.792649]\n",
            "12743 [D loss: 0.659890, acc.: 62.50%] [G loss: 0.809767]\n",
            "12744 [D loss: 0.649741, acc.: 59.38%] [G loss: 0.864750]\n",
            "12745 [D loss: 0.662050, acc.: 53.12%] [G loss: 0.869902]\n",
            "12746 [D loss: 0.637360, acc.: 68.75%] [G loss: 0.839628]\n",
            "12747 [D loss: 0.688558, acc.: 59.38%] [G loss: 0.864684]\n",
            "12748 [D loss: 0.740849, acc.: 53.12%] [G loss: 0.796124]\n",
            "12749 [D loss: 0.641867, acc.: 62.50%] [G loss: 0.809128]\n",
            "12750 [D loss: 0.654753, acc.: 59.38%] [G loss: 0.873548]\n",
            "12751 [D loss: 0.704010, acc.: 40.62%] [G loss: 0.797339]\n",
            "12752 [D loss: 0.580741, acc.: 81.25%] [G loss: 0.848218]\n",
            "12753 [D loss: 0.713251, acc.: 59.38%] [G loss: 0.897306]\n",
            "12754 [D loss: 0.763783, acc.: 37.50%] [G loss: 0.826334]\n",
            "12755 [D loss: 0.721127, acc.: 40.62%] [G loss: 0.831127]\n",
            "12756 [D loss: 0.635789, acc.: 68.75%] [G loss: 0.780899]\n",
            "12757 [D loss: 0.664494, acc.: 56.25%] [G loss: 0.794990]\n",
            "12758 [D loss: 0.591892, acc.: 68.75%] [G loss: 0.783346]\n",
            "12759 [D loss: 0.715372, acc.: 56.25%] [G loss: 0.770786]\n",
            "12760 [D loss: 0.723164, acc.: 43.75%] [G loss: 0.764984]\n",
            "12761 [D loss: 0.736543, acc.: 46.88%] [G loss: 0.786760]\n",
            "12762 [D loss: 0.696884, acc.: 53.12%] [G loss: 0.811742]\n",
            "12763 [D loss: 0.774153, acc.: 31.25%] [G loss: 0.769150]\n",
            "12764 [D loss: 0.681055, acc.: 59.38%] [G loss: 0.815958]\n",
            "12765 [D loss: 0.646322, acc.: 68.75%] [G loss: 0.810050]\n",
            "12766 [D loss: 0.692083, acc.: 59.38%] [G loss: 0.830119]\n",
            "12767 [D loss: 0.691238, acc.: 68.75%] [G loss: 0.881510]\n",
            "12768 [D loss: 0.729555, acc.: 43.75%] [G loss: 0.869080]\n",
            "12769 [D loss: 0.698460, acc.: 46.88%] [G loss: 0.814165]\n",
            "12770 [D loss: 0.663179, acc.: 62.50%] [G loss: 0.817090]\n",
            "12771 [D loss: 0.600217, acc.: 78.12%] [G loss: 0.836780]\n",
            "12772 [D loss: 0.622013, acc.: 62.50%] [G loss: 0.832831]\n",
            "12773 [D loss: 0.769457, acc.: 40.62%] [G loss: 0.810383]\n",
            "12774 [D loss: 0.696809, acc.: 40.62%] [G loss: 0.807273]\n",
            "12775 [D loss: 0.670048, acc.: 62.50%] [G loss: 0.809054]\n",
            "12776 [D loss: 0.693597, acc.: 50.00%] [G loss: 0.764266]\n",
            "12777 [D loss: 0.710538, acc.: 50.00%] [G loss: 0.841369]\n",
            "12778 [D loss: 0.654329, acc.: 65.62%] [G loss: 0.799421]\n",
            "12779 [D loss: 0.706584, acc.: 56.25%] [G loss: 0.789752]\n",
            "12780 [D loss: 0.666676, acc.: 53.12%] [G loss: 0.772092]\n",
            "12781 [D loss: 0.742579, acc.: 53.12%] [G loss: 0.772929]\n",
            "12782 [D loss: 0.697523, acc.: 46.88%] [G loss: 0.756034]\n",
            "12783 [D loss: 0.662435, acc.: 59.38%] [G loss: 0.767912]\n",
            "12784 [D loss: 0.712389, acc.: 50.00%] [G loss: 0.792557]\n",
            "12785 [D loss: 0.674022, acc.: 62.50%] [G loss: 0.797681]\n",
            "12786 [D loss: 0.638545, acc.: 62.50%] [G loss: 0.767102]\n",
            "12787 [D loss: 0.733202, acc.: 40.62%] [G loss: 0.782637]\n",
            "12788 [D loss: 0.675112, acc.: 62.50%] [G loss: 0.759689]\n",
            "12789 [D loss: 0.683103, acc.: 59.38%] [G loss: 0.803045]\n",
            "12790 [D loss: 0.713068, acc.: 56.25%] [G loss: 0.811379]\n",
            "12791 [D loss: 0.649915, acc.: 65.62%] [G loss: 0.815315]\n",
            "12792 [D loss: 0.692191, acc.: 53.12%] [G loss: 0.791988]\n",
            "12793 [D loss: 0.707449, acc.: 59.38%] [G loss: 0.813799]\n",
            "12794 [D loss: 0.705225, acc.: 37.50%] [G loss: 0.848337]\n",
            "12795 [D loss: 0.652032, acc.: 62.50%] [G loss: 0.883021]\n",
            "12796 [D loss: 0.643973, acc.: 65.62%] [G loss: 0.862072]\n",
            "12797 [D loss: 0.725711, acc.: 56.25%] [G loss: 0.815124]\n",
            "12798 [D loss: 0.657297, acc.: 62.50%] [G loss: 0.817785]\n",
            "12799 [D loss: 0.708015, acc.: 59.38%] [G loss: 0.770570]\n",
            "12800 [D loss: 0.754818, acc.: 43.75%] [G loss: 0.788599]\n",
            "12801 [D loss: 0.701082, acc.: 50.00%] [G loss: 0.794447]\n",
            "12802 [D loss: 0.648390, acc.: 65.62%] [G loss: 0.763001]\n",
            "12803 [D loss: 0.630717, acc.: 68.75%] [G loss: 0.831170]\n",
            "12804 [D loss: 0.692102, acc.: 59.38%] [G loss: 0.803171]\n",
            "12805 [D loss: 0.746453, acc.: 50.00%] [G loss: 0.809072]\n",
            "12806 [D loss: 0.637400, acc.: 65.62%] [G loss: 0.834260]\n",
            "12807 [D loss: 0.601702, acc.: 71.88%] [G loss: 0.827557]\n",
            "12808 [D loss: 0.764035, acc.: 46.88%] [G loss: 0.848933]\n",
            "12809 [D loss: 0.674566, acc.: 59.38%] [G loss: 0.842470]\n",
            "12810 [D loss: 0.663547, acc.: 62.50%] [G loss: 0.849688]\n",
            "12811 [D loss: 0.665472, acc.: 59.38%] [G loss: 0.859983]\n",
            "12812 [D loss: 0.766461, acc.: 46.88%] [G loss: 0.808802]\n",
            "12813 [D loss: 0.702533, acc.: 53.12%] [G loss: 0.831348]\n",
            "12814 [D loss: 0.740333, acc.: 37.50%] [G loss: 0.811113]\n",
            "12815 [D loss: 0.704963, acc.: 53.12%] [G loss: 0.840408]\n",
            "12816 [D loss: 0.686434, acc.: 50.00%] [G loss: 0.816291]\n",
            "12817 [D loss: 0.656096, acc.: 62.50%] [G loss: 0.812657]\n",
            "12818 [D loss: 0.658109, acc.: 62.50%] [G loss: 0.797272]\n",
            "12819 [D loss: 0.686922, acc.: 59.38%] [G loss: 0.768294]\n",
            "12820 [D loss: 0.679361, acc.: 56.25%] [G loss: 0.758388]\n",
            "12821 [D loss: 0.641968, acc.: 71.88%] [G loss: 0.773928]\n",
            "12822 [D loss: 0.765660, acc.: 43.75%] [G loss: 0.759875]\n",
            "12823 [D loss: 0.633118, acc.: 62.50%] [G loss: 0.861988]\n",
            "12824 [D loss: 0.749836, acc.: 46.88%] [G loss: 0.841973]\n",
            "12825 [D loss: 0.738337, acc.: 65.62%] [G loss: 0.821861]\n",
            "12826 [D loss: 0.657461, acc.: 59.38%] [G loss: 0.848350]\n",
            "12827 [D loss: 0.619150, acc.: 62.50%] [G loss: 0.807802]\n",
            "12828 [D loss: 0.673085, acc.: 65.62%] [G loss: 0.801887]\n",
            "12829 [D loss: 0.720763, acc.: 43.75%] [G loss: 0.802671]\n",
            "12830 [D loss: 0.682405, acc.: 50.00%] [G loss: 0.835825]\n",
            "12831 [D loss: 0.662386, acc.: 68.75%] [G loss: 0.745283]\n",
            "12832 [D loss: 0.713436, acc.: 46.88%] [G loss: 0.780022]\n",
            "12833 [D loss: 0.669320, acc.: 62.50%] [G loss: 0.774336]\n",
            "12834 [D loss: 0.643570, acc.: 65.62%] [G loss: 0.828261]\n",
            "12835 [D loss: 0.649063, acc.: 65.62%] [G loss: 0.796197]\n",
            "12836 [D loss: 0.692331, acc.: 50.00%] [G loss: 0.790618]\n",
            "12837 [D loss: 0.687028, acc.: 62.50%] [G loss: 0.765403]\n",
            "12838 [D loss: 0.718310, acc.: 56.25%] [G loss: 0.782798]\n",
            "12839 [D loss: 0.666331, acc.: 65.62%] [G loss: 0.797462]\n",
            "12840 [D loss: 0.694414, acc.: 50.00%] [G loss: 0.770398]\n",
            "12841 [D loss: 0.667305, acc.: 56.25%] [G loss: 0.792600]\n",
            "12842 [D loss: 0.727362, acc.: 46.88%] [G loss: 0.772219]\n",
            "12843 [D loss: 0.740767, acc.: 40.62%] [G loss: 0.792465]\n",
            "12844 [D loss: 0.635984, acc.: 62.50%] [G loss: 0.882507]\n",
            "12845 [D loss: 0.680051, acc.: 53.12%] [G loss: 0.789585]\n",
            "12846 [D loss: 0.678295, acc.: 53.12%] [G loss: 0.803056]\n",
            "12847 [D loss: 0.784251, acc.: 40.62%] [G loss: 0.788147]\n",
            "12848 [D loss: 0.759473, acc.: 40.62%] [G loss: 0.765169]\n",
            "12849 [D loss: 0.608421, acc.: 68.75%] [G loss: 0.749522]\n",
            "12850 [D loss: 0.707937, acc.: 46.88%] [G loss: 0.799115]\n",
            "12851 [D loss: 0.701286, acc.: 46.88%] [G loss: 0.756140]\n",
            "12852 [D loss: 0.638626, acc.: 71.88%] [G loss: 0.755971]\n",
            "12853 [D loss: 0.765805, acc.: 37.50%] [G loss: 0.849261]\n",
            "12854 [D loss: 0.727129, acc.: 53.12%] [G loss: 0.810507]\n",
            "12855 [D loss: 0.685993, acc.: 53.12%] [G loss: 0.756483]\n",
            "12856 [D loss: 0.707673, acc.: 53.12%] [G loss: 0.832854]\n",
            "12857 [D loss: 0.653885, acc.: 68.75%] [G loss: 0.815955]\n",
            "12858 [D loss: 0.743407, acc.: 43.75%] [G loss: 0.758223]\n",
            "12859 [D loss: 0.661734, acc.: 62.50%] [G loss: 0.830268]\n",
            "12860 [D loss: 0.664445, acc.: 59.38%] [G loss: 0.775733]\n",
            "12861 [D loss: 0.683042, acc.: 59.38%] [G loss: 0.724624]\n",
            "12862 [D loss: 0.686777, acc.: 56.25%] [G loss: 0.751939]\n",
            "12863 [D loss: 0.651612, acc.: 65.62%] [G loss: 0.755909]\n",
            "12864 [D loss: 0.671244, acc.: 56.25%] [G loss: 0.833385]\n",
            "12865 [D loss: 0.718310, acc.: 50.00%] [G loss: 0.767316]\n",
            "12866 [D loss: 0.669797, acc.: 62.50%] [G loss: 0.811591]\n",
            "12867 [D loss: 0.675044, acc.: 62.50%] [G loss: 0.837701]\n",
            "12868 [D loss: 0.663644, acc.: 65.62%] [G loss: 0.767393]\n",
            "12869 [D loss: 0.654973, acc.: 53.12%] [G loss: 0.808359]\n",
            "12870 [D loss: 0.789236, acc.: 40.62%] [G loss: 0.747885]\n",
            "12871 [D loss: 0.644978, acc.: 68.75%] [G loss: 0.722417]\n",
            "12872 [D loss: 0.689558, acc.: 50.00%] [G loss: 0.806551]\n",
            "12873 [D loss: 0.685057, acc.: 62.50%] [G loss: 0.795697]\n",
            "12874 [D loss: 0.668492, acc.: 53.12%] [G loss: 0.791075]\n",
            "12875 [D loss: 0.714902, acc.: 53.12%] [G loss: 0.776915]\n",
            "12876 [D loss: 0.689400, acc.: 56.25%] [G loss: 0.781518]\n",
            "12877 [D loss: 0.650002, acc.: 59.38%] [G loss: 0.823818]\n",
            "12878 [D loss: 0.681102, acc.: 50.00%] [G loss: 0.789011]\n",
            "12879 [D loss: 0.697902, acc.: 59.38%] [G loss: 0.775383]\n",
            "12880 [D loss: 0.701507, acc.: 56.25%] [G loss: 0.797712]\n",
            "12881 [D loss: 0.637868, acc.: 65.62%] [G loss: 0.860715]\n",
            "12882 [D loss: 0.692149, acc.: 56.25%] [G loss: 0.852010]\n",
            "12883 [D loss: 0.736679, acc.: 53.12%] [G loss: 0.823431]\n",
            "12884 [D loss: 0.676952, acc.: 65.62%] [G loss: 0.788093]\n",
            "12885 [D loss: 0.709697, acc.: 50.00%] [G loss: 0.855000]\n",
            "12886 [D loss: 0.619587, acc.: 84.38%] [G loss: 0.828157]\n",
            "12887 [D loss: 0.707507, acc.: 56.25%] [G loss: 0.827870]\n",
            "12888 [D loss: 0.701592, acc.: 59.38%] [G loss: 0.799115]\n",
            "12889 [D loss: 0.650977, acc.: 56.25%] [G loss: 0.834916]\n",
            "12890 [D loss: 0.725697, acc.: 43.75%] [G loss: 0.841401]\n",
            "12891 [D loss: 0.670738, acc.: 50.00%] [G loss: 0.810225]\n",
            "12892 [D loss: 0.695014, acc.: 46.88%] [G loss: 0.799076]\n",
            "12893 [D loss: 0.663467, acc.: 62.50%] [G loss: 0.803267]\n",
            "12894 [D loss: 0.644242, acc.: 56.25%] [G loss: 0.829002]\n",
            "12895 [D loss: 0.753566, acc.: 40.62%] [G loss: 0.751280]\n",
            "12896 [D loss: 0.608191, acc.: 65.62%] [G loss: 0.792979]\n",
            "12897 [D loss: 0.666934, acc.: 53.12%] [G loss: 0.784912]\n",
            "12898 [D loss: 0.684406, acc.: 62.50%] [G loss: 0.798197]\n",
            "12899 [D loss: 0.703732, acc.: 56.25%] [G loss: 0.820731]\n",
            "12900 [D loss: 0.685003, acc.: 56.25%] [G loss: 0.830958]\n",
            "12901 [D loss: 0.702246, acc.: 46.88%] [G loss: 0.845587]\n",
            "12902 [D loss: 0.687934, acc.: 50.00%] [G loss: 0.788798]\n",
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            "12904 [D loss: 0.708765, acc.: 43.75%] [G loss: 0.757255]\n",
            "12905 [D loss: 0.674441, acc.: 59.38%] [G loss: 0.753813]\n",
            "12906 [D loss: 0.725335, acc.: 56.25%] [G loss: 0.767151]\n",
            "12907 [D loss: 0.620116, acc.: 62.50%] [G loss: 0.753414]\n",
            "12908 [D loss: 0.682966, acc.: 56.25%] [G loss: 0.764211]\n",
            "12909 [D loss: 0.665150, acc.: 56.25%] [G loss: 0.730011]\n",
            "12910 [D loss: 0.739993, acc.: 50.00%] [G loss: 0.832134]\n",
            "12911 [D loss: 0.691819, acc.: 53.12%] [G loss: 0.825263]\n",
            "12912 [D loss: 0.607839, acc.: 65.62%] [G loss: 0.855274]\n",
            "12913 [D loss: 0.679434, acc.: 50.00%] [G loss: 0.852315]\n",
            "12914 [D loss: 0.670643, acc.: 62.50%] [G loss: 0.892087]\n",
            "12915 [D loss: 0.665415, acc.: 59.38%] [G loss: 0.815231]\n",
            "12916 [D loss: 0.675253, acc.: 62.50%] [G loss: 0.802930]\n",
            "12917 [D loss: 0.674692, acc.: 65.62%] [G loss: 0.783591]\n",
            "12918 [D loss: 0.727700, acc.: 43.75%] [G loss: 0.783874]\n",
            "12919 [D loss: 0.741817, acc.: 34.38%] [G loss: 0.791310]\n",
            "12920 [D loss: 0.729255, acc.: 40.62%] [G loss: 0.787680]\n",
            "12921 [D loss: 0.669129, acc.: 62.50%] [G loss: 0.794256]\n",
            "12922 [D loss: 0.658342, acc.: 46.88%] [G loss: 0.792293]\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9F7eAiM0psDm",
        "outputId": "53a8e9b7-72c5-4f65-f6b6-737857ff822e"
      },
      "source": [
        "ls"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "fashion_mnist_1650.png   fashion_mnist_5570.png  fashion_mnist_9490.png\n",
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            "fashion_mnist_1710.png   fashion_mnist_5630.png  fashion_mnist_9550.png\n",
            "fashion_mnist_1720.png   fashion_mnist_5640.png  fashion_mnist_9560.png\n",
            "fashion_mnist_1730.png   fashion_mnist_5650.png  fashion_mnist_9570.png\n",
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            "fashion_mnist_1750.png   fashion_mnist_5670.png  fashion_mnist_9590.png\n",
            "fashion_mnist_1760.png   fashion_mnist_5680.png  fashion_mnist_9600.png\n",
            "fashion_mnist_1770.png   fashion_mnist_5690.png  fashion_mnist_960.png\n",
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            "fashion_mnist_1790.png   fashion_mnist_570.png   fashion_mnist_9620.png\n",
            "fashion_mnist_1800.png   fashion_mnist_5710.png  fashion_mnist_9630.png\n",
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            "fashion_mnist_1840.png   fashion_mnist_5760.png  fashion_mnist_9680.png\n",
            "fashion_mnist_1850.png   fashion_mnist_5770.png  fashion_mnist_9690.png\n",
            "fashion_mnist_1860.png   fashion_mnist_5780.png  fashion_mnist_9700.png\n",
            "fashion_mnist_1870.png   fashion_mnist_5790.png  fashion_mnist_970.png\n",
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            "fashion_mnist_1890.png   fashion_mnist_580.png   fashion_mnist_9720.png\n",
            "fashion_mnist_1900.png   fashion_mnist_5810.png  fashion_mnist_9730.png\n",
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            "fashion_mnist_1910.png   fashion_mnist_5830.png  fashion_mnist_9750.png\n",
            "fashion_mnist_1920.png   fashion_mnist_5840.png  fashion_mnist_9760.png\n",
            "fashion_mnist_1930.png   fashion_mnist_5850.png  fashion_mnist_9770.png\n",
            "fashion_mnist_1940.png   fashion_mnist_5860.png  fashion_mnist_9780.png\n",
            "fashion_mnist_1950.png   fashion_mnist_5870.png  fashion_mnist_9790.png\n",
            "fashion_mnist_1960.png   fashion_mnist_5880.png  fashion_mnist_9800.png\n",
            "fashion_mnist_1970.png   fashion_mnist_5890.png  fashion_mnist_980.png\n",
            "fashion_mnist_1980.png   fashion_mnist_5900.png  fashion_mnist_9810.png\n",
            "fashion_mnist_1990.png   fashion_mnist_590.png   fashion_mnist_9820.png\n",
            "fashion_mnist_2000.png   fashion_mnist_5910.png  fashion_mnist_9830.png\n",
            "fashion_mnist_200.png    fashion_mnist_5920.png  fashion_mnist_9840.png\n",
            "fashion_mnist_2010.png   fashion_mnist_5930.png  fashion_mnist_9850.png\n",
            "fashion_mnist_2020.png   fashion_mnist_5940.png  fashion_mnist_9860.png\n",
            "fashion_mnist_2030.png   fashion_mnist_5950.png  fashion_mnist_9870.png\n",
            "fashion_mnist_2040.png   fashion_mnist_5960.png  fashion_mnist_9880.png\n",
            "fashion_mnist_2050.png   fashion_mnist_5970.png  fashion_mnist_9890.png\n",
            "fashion_mnist_2060.png   fashion_mnist_5980.png  fashion_mnist_9900.png\n",
            "fashion_mnist_2070.png   fashion_mnist_5990.png  fashion_mnist_990.png\n",
            "fashion_mnist_2080.png   fashion_mnist_6000.png  fashion_mnist_9910.png\n",
            "fashion_mnist_2090.png   fashion_mnist_600.png   fashion_mnist_9920.png\n",
            "fashion_mnist_20.png     fashion_mnist_6010.png  fashion_mnist_9930.png\n",
            "fashion_mnist_2100.png   fashion_mnist_6020.png  fashion_mnist_9940.png\n",
            "fashion_mnist_210.png    fashion_mnist_6030.png  fashion_mnist_9950.png\n",
            "fashion_mnist_2110.png   fashion_mnist_6040.png  fashion_mnist_9960.png\n",
            "fashion_mnist_2120.png   fashion_mnist_6050.png  fashion_mnist_9970.png\n",
            "fashion_mnist_2130.png   fashion_mnist_6060.png  fashion_mnist_9980.png\n",
            "fashion_mnist_2140.png   fashion_mnist_6070.png  fashion_mnist_9990.png\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 322
        },
        "id": "w9ixlOGlqOXK",
        "outputId": "2747f23f-959c-45d4-9e31-5447c9a67e8f"
      },
      "source": [
        "from IPython.display import Image\n",
        "print(\"100\")\n",
        "Image('/content/images/fashion_mnist_9990.png')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 322
        },
        "id": "q4sp8Q2tsaqb",
        "outputId": "ab1462bd-c0fa-4d5b-f4b6-b888cf0ee0f4"
      },
      "source": [
        "from IPython.display import Image\n",
        "print(\"100\")\n",
        "Image('/content/images/fashion_mnist_2490.png')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    }
  ]
}