MNIST_GAN.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "MNIST_GAN.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "RtWpeSFfTHUA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "693a73aa-7630-4e3a-da23-d3535a2452ae"
      },
      "source": [
        "import tensorflow as tf\n",
        "tf.__version__"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'1.13.1'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-S6GMNOCTQMQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "615ae81e-7d3c-4802-f2d8-145f8b483f66"
      },
      "source": [
        "from __future__ import print_function, division\n",
        "\n",
        "from keras.datasets import mnist\n",
        "from keras.layers import Input, Dense, Reshape, Flatten, Dropout\n",
        "from keras.layers import BatchNormalization, Activation, ZeroPadding2D\n",
        "from keras.layers.advanced_activations import LeakyReLU\n",
        "from keras.layers.convolutional import UpSampling2D, Conv2D\n",
        "from keras.models import Sequential, Model\n",
        "from keras.optimizers import Adam\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "import sys\n",
        "\n",
        "import numpy as np"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W5RKoGnTTXSD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "img_rows = 28\n",
        "img_cols = 28\n",
        "channels = 1\n",
        "latent_dim = 100\n",
        "img_shape = (img_rows, img_cols, channels)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0JH-0QelUaAf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def build_generator():\n",
        "\n",
        "    model = Sequential()\n",
        "\n",
        "    model.add(Dense(128 * 7 * 7, activation=\"relu\", input_dim=latent_dim))\n",
        "    model.add(Reshape((7, 7, 128)))\n",
        "    model.add(UpSampling2D())\n",
        "    model.add(Conv2D(128, kernel_size=3, padding=\"same\"))\n",
        "    model.add(BatchNormalization(momentum=0.8))\n",
        "    model.add(Activation(\"relu\"))\n",
        "    model.add(UpSampling2D())\n",
        "    model.add(Conv2D(64, kernel_size=3, padding=\"same\"))\n",
        "    model.add(BatchNormalization(momentum=0.8))\n",
        "    model.add(Activation(\"relu\"))\n",
        "    model.add(Conv2D(channels, kernel_size=3, padding=\"same\"))\n",
        "    model.add(Activation(\"tanh\"))\n",
        "\n",
        "    model.summary()\n",
        "\n",
        "    noise = Input(shape=(latent_dim,))\n",
        "    img = model(noise)\n",
        "\n",
        "    return Model(noise, img)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gU56fjg8UCP-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def build_discriminator():\n",
        "\n",
        "    model = Sequential()\n",
        "\n",
        "    model.add(Conv2D(32, kernel_size=3, strides=2, input_shape=img_shape, padding=\"same\"))\n",
        "    model.add(LeakyReLU(alpha=0.2))\n",
        "    model.add(Dropout(0.25))\n",
        "    model.add(Conv2D(64, kernel_size=3, strides=2, padding=\"same\"))\n",
        "    model.add(ZeroPadding2D(padding=((0,1),(0,1))))\n",
        "    model.add(BatchNormalization(momentum=0.8))\n",
        "    model.add(LeakyReLU(alpha=0.2))\n",
        "    model.add(Dropout(0.25))\n",
        "    model.add(Conv2D(128, kernel_size=3, strides=2, padding=\"same\"))\n",
        "    model.add(BatchNormalization(momentum=0.8))\n",
        "    model.add(LeakyReLU(alpha=0.2))\n",
        "    model.add(Dropout(0.25))\n",
        "    model.add(Conv2D(256, kernel_size=3, strides=1, padding=\"same\"))\n",
        "    model.add(BatchNormalization(momentum=0.8))\n",
        "    model.add(LeakyReLU(alpha=0.2))\n",
        "    model.add(Dropout(0.25))\n",
        "    model.add(Flatten())\n",
        "    model.add(Dense(1, activation='sigmoid'))\n",
        "\n",
        "    model.summary()\n",
        "\n",
        "    img = Input(shape=img_shape)\n",
        "    validity = model(img)\n",
        "\n",
        "    return Model(img, validity)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v-rraj3aUtr_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1397
        },
        "outputId": "0286ae42-a44e-42c5-eb6d-4f9b4a6db5e6"
      },
      "source": [
        "optimizer = Adam(0.0002, 0.5)\n",
        "\n",
        "# Build and compile the discriminator\n",
        "discriminator = build_discriminator()\n",
        "discriminator.compile(loss='binary_crossentropy',\n",
        "    optimizer=optimizer,\n",
        "    metrics=['accuracy'])\n",
        "\n",
        "# Build the generator\n",
        "generator = build_generator()\n",
        "\n",
        "# The generator takes noise as input and generates imgs\n",
        "z = Input(shape=(latent_dim,))\n",
        "img = generator(z)\n",
        "\n",
        "# For the combined model we will only train the generator\n",
        "discriminator.trainable = False\n",
        "\n",
        "# The discriminator takes generated images as input and determines validity\n",
        "valid = discriminator(img)\n",
        "\n",
        "# The combined model  (stacked generator and discriminator)\n",
        "# Trains the generator to fool the discriminator\n",
        "combined = Model(z, valid)\n",
        "combined.compile(loss='binary_crossentropy', optimizer=optimizer)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Colocations handled automatically by placer.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "conv2d_1 (Conv2D)            (None, 14, 14, 32)        320       \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_1 (LeakyReLU)    (None, 14, 14, 32)        0         \n",
            "_________________________________________________________________\n",
            "dropout_1 (Dropout)          (None, 14, 14, 32)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_2 (Conv2D)            (None, 7, 7, 64)          18496     \n",
            "_________________________________________________________________\n",
            "zero_padding2d_1 (ZeroPaddin (None, 8, 8, 64)          0         \n",
            "_________________________________________________________________\n",
            "batch_normalization_1 (Batch (None, 8, 8, 64)          256       \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_2 (LeakyReLU)    (None, 8, 8, 64)          0         \n",
            "_________________________________________________________________\n",
            "dropout_2 (Dropout)          (None, 8, 8, 64)          0         \n",
            "_________________________________________________________________\n",
            "conv2d_3 (Conv2D)            (None, 4, 4, 128)         73856     \n",
            "_________________________________________________________________\n",
            "batch_normalization_2 (Batch (None, 4, 4, 128)         512       \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_3 (LeakyReLU)    (None, 4, 4, 128)         0         \n",
            "_________________________________________________________________\n",
            "dropout_3 (Dropout)          (None, 4, 4, 128)         0         \n",
            "_________________________________________________________________\n",
            "conv2d_4 (Conv2D)            (None, 4, 4, 256)         295168    \n",
            "_________________________________________________________________\n",
            "batch_normalization_3 (Batch (None, 4, 4, 256)         1024      \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_4 (LeakyReLU)    (None, 4, 4, 256)         0         \n",
            "_________________________________________________________________\n",
            "dropout_4 (Dropout)          (None, 4, 4, 256)         0         \n",
            "_________________________________________________________________\n",
            "flatten_1 (Flatten)          (None, 4096)              0         \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 1)                 4097      \n",
            "=================================================================\n",
            "Total params: 393,729\n",
            "Trainable params: 392,833\n",
            "Non-trainable params: 896\n",
            "_________________________________________________________________\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense_2 (Dense)              (None, 6272)              633472    \n",
            "_________________________________________________________________\n",
            "reshape_1 (Reshape)          (None, 7, 7, 128)         0         \n",
            "_________________________________________________________________\n",
            "up_sampling2d_1 (UpSampling2 (None, 14, 14, 128)       0         \n",
            "_________________________________________________________________\n",
            "conv2d_5 (Conv2D)            (None, 14, 14, 128)       147584    \n",
            "_________________________________________________________________\n",
            "batch_normalization_4 (Batch (None, 14, 14, 128)       512       \n",
            "_________________________________________________________________\n",
            "activation_1 (Activation)    (None, 14, 14, 128)       0         \n",
            "_________________________________________________________________\n",
            "up_sampling2d_2 (UpSampling2 (None, 28, 28, 128)       0         \n",
            "_________________________________________________________________\n",
            "conv2d_6 (Conv2D)            (None, 28, 28, 64)        73792     \n",
            "_________________________________________________________________\n",
            "batch_normalization_5 (Batch (None, 28, 28, 64)        256       \n",
            "_________________________________________________________________\n",
            "activation_2 (Activation)    (None, 28, 28, 64)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_7 (Conv2D)            (None, 28, 28, 1)         577       \n",
            "_________________________________________________________________\n",
            "activation_3 (Activation)    (None, 28, 28, 1)         0         \n",
            "=================================================================\n",
            "Total params: 856,193\n",
            "Trainable params: 855,809\n",
            "Non-trainable params: 384\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M_coi0TjUzw-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def save_imgs(epoch):\n",
        "    r, c = 5, 5\n",
        "    noise = np.random.normal(0, 1, (r * c, latent_dim))\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(\"images/mnist_%d.png\" % epoch)\n",
        "    plt.close()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HDAddkCHVNph",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def train(epochs, batch_size=128, save_interval=50):\n",
        "\n",
        "    # Load the dataset\n",
        "    (X_train, _), (_, _) = mnist.load_data()\n",
        "\n",
        "    # Rescale -1 to 1\n",
        "    X_train = X_train / 127.5 - 1.\n",
        "    X_train = np.expand_dims(X_train, axis=3)\n",
        "\n",
        "    # Adversarial ground truths\n",
        "    valid = np.ones((batch_size, 1))\n",
        "    fake = np.zeros((batch_size, 1))\n",
        "\n",
        "    for epoch in range(epochs):\n",
        "\n",
        "        # ---------------------\n",
        "        #  Train Discriminator\n",
        "        # ---------------------\n",
        "\n",
        "        # Select a random half of images\n",
        "        idx = np.random.randint(0, X_train.shape[0], batch_size)\n",
        "        imgs = X_train[idx]\n",
        "\n",
        "        # Sample noise and generate a batch of new images\n",
        "        noise = np.random.normal(0, 1, (batch_size, latent_dim))\n",
        "        gen_imgs = generator.predict(noise)\n",
        "\n",
        "        # Train the discriminator (real classified as ones and generated as zeros)\n",
        "        d_loss_real = discriminator.train_on_batch(imgs, valid)\n",
        "        d_loss_fake = discriminator.train_on_batch(gen_imgs, fake)\n",
        "        d_loss = 0.5 * np.add(d_loss_real, d_loss_fake)\n",
        "        \n",
        "        # ---------------------\n",
        "        #  Train Generator\n",
        "        # ---------------------\n",
        "\n",
        "        # Train the generator (wants discriminator to mistake images as real)\n",
        "        g_loss = combined.train_on_batch(noise, valid)\n",
        "\n",
        "        # Plot the progress\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",
        "            "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Bvbn1tXkVell",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!mkdir -p images\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ln7qqU_7Z2Xe",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68156
        },
        "outputId": "5684aaf5-d9a4-47a1-95cc-466de1b7addc"
      },
      "source": [
        "train(epochs=4000, batch_size=32, save_interval=50)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://s3.amazonaws.com/img-datasets/mnist.npz\n",
            "11493376/11490434 [==============================] - 0s 0us/step\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.cast instead.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py:490: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ?\n",
            "  'Discrepancy between trainable weights and collected trainable'\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "0 [D loss: 1.154983, acc.: 35.94%] [G loss: 0.903504]\n",
            "1 [D loss: 0.620115, acc.: 62.50%] [G loss: 1.168011]\n",
            "2 [D loss: 0.414676, acc.: 81.25%] [G loss: 1.659767]\n",
            "3 [D loss: 0.337820, acc.: 89.06%] [G loss: 1.782328]\n",
            "4 [D loss: 0.237551, acc.: 95.31%] [G loss: 1.685739]\n",
            "5 [D loss: 0.193903, acc.: 96.88%] [G loss: 1.366309]\n",
            "6 [D loss: 0.197036, acc.: 95.31%] [G loss: 0.823532]\n",
            "7 [D loss: 0.191680, acc.: 92.19%] [G loss: 0.625718]\n",
            "8 [D loss: 0.163076, acc.: 93.75%] [G loss: 0.885143]\n",
            "9 [D loss: 0.211282, acc.: 93.75%] [G loss: 1.067370]\n",
            "10 [D loss: 0.441673, acc.: 81.25%] [G loss: 1.615644]\n",
            "11 [D loss: 0.713184, acc.: 68.75%] [G loss: 2.562818]\n",
            "12 [D loss: 1.336233, acc.: 26.56%] [G loss: 2.130438]\n",
            "13 [D loss: 0.827734, acc.: 51.56%] [G loss: 1.978290]\n",
            "14 [D loss: 0.706739, acc.: 67.19%] [G loss: 1.682548]\n",
            "15 [D loss: 0.577421, acc.: 67.19%] [G loss: 1.580619]\n",
            "16 [D loss: 0.651781, acc.: 59.38%] [G loss: 1.806666]\n",
            "17 [D loss: 0.576308, acc.: 71.88%] [G loss: 1.444737]\n",
            "18 [D loss: 0.472311, acc.: 81.25%] [G loss: 1.094980]\n",
            "19 [D loss: 0.294861, acc.: 87.50%] [G loss: 0.458890]\n",
            "20 [D loss: 0.252009, acc.: 90.62%] [G loss: 0.289794]\n",
            "21 [D loss: 0.304186, acc.: 85.94%] [G loss: 0.485630]\n",
            "22 [D loss: 0.418976, acc.: 78.12%] [G loss: 1.133494]\n",
            "23 [D loss: 0.946196, acc.: 43.75%] [G loss: 1.612333]\n",
            "24 [D loss: 1.265864, acc.: 26.56%] [G loss: 1.355743]\n",
            "25 [D loss: 0.826234, acc.: 57.81%] [G loss: 1.563061]\n",
            "26 [D loss: 0.801248, acc.: 53.12%] [G loss: 1.208227]\n",
            "27 [D loss: 0.703404, acc.: 64.06%] [G loss: 1.424268]\n",
            "28 [D loss: 0.912185, acc.: 60.94%] [G loss: 1.568096]\n",
            "29 [D loss: 0.840786, acc.: 51.56%] [G loss: 1.913946]\n",
            "30 [D loss: 1.236222, acc.: 37.50%] [G loss: 1.261282]\n",
            "31 [D loss: 0.934588, acc.: 54.69%] [G loss: 0.911327]\n",
            "32 [D loss: 0.688879, acc.: 65.62%] [G loss: 1.096930]\n",
            "33 [D loss: 0.744991, acc.: 56.25%] [G loss: 1.772661]\n",
            "34 [D loss: 0.995481, acc.: 48.44%] [G loss: 1.948420]\n",
            "35 [D loss: 0.804720, acc.: 56.25%] [G loss: 1.184832]\n",
            "36 [D loss: 0.833297, acc.: 54.69%] [G loss: 0.723317]\n",
            "37 [D loss: 0.431953, acc.: 82.81%] [G loss: 0.720200]\n",
            "38 [D loss: 0.493476, acc.: 70.31%] [G loss: 0.889268]\n",
            "39 [D loss: 0.679654, acc.: 67.19%] [G loss: 1.096034]\n",
            "40 [D loss: 1.038267, acc.: 48.44%] [G loss: 1.406005]\n",
            "41 [D loss: 1.029427, acc.: 51.56%] [G loss: 1.673423]\n",
            "42 [D loss: 1.191147, acc.: 43.75%] [G loss: 1.029561]\n",
            "43 [D loss: 0.822999, acc.: 51.56%] [G loss: 1.536049]\n",
            "44 [D loss: 0.726494, acc.: 62.50%] [G loss: 1.572432]\n",
            "45 [D loss: 1.019220, acc.: 45.31%] [G loss: 1.718124]\n",
            "46 [D loss: 1.156998, acc.: 37.50%] [G loss: 1.468718]\n",
            "47 [D loss: 0.883493, acc.: 51.56%] [G loss: 1.034235]\n",
            "48 [D loss: 0.624850, acc.: 67.19%] [G loss: 0.759851]\n",
            "49 [D loss: 0.681407, acc.: 62.50%] [G loss: 1.125318]\n",
            "50 [D loss: 0.664878, acc.: 65.62%] [G loss: 1.206752]\n",
            "51 [D loss: 0.864167, acc.: 54.69%] [G loss: 1.731939]\n",
            "52 [D loss: 0.959070, acc.: 50.00%] [G loss: 1.693365]\n",
            "53 [D loss: 0.993354, acc.: 34.38%] [G loss: 1.152802]\n",
            "54 [D loss: 1.022239, acc.: 42.19%] [G loss: 1.130395]\n",
            "55 [D loss: 0.880702, acc.: 43.75%] [G loss: 1.796031]\n",
            "56 [D loss: 0.792788, acc.: 57.81%] [G loss: 1.451265]\n",
            "57 [D loss: 0.801608, acc.: 57.81%] [G loss: 1.047053]\n",
            "58 [D loss: 0.807521, acc.: 50.00%] [G loss: 1.263621]\n",
            "59 [D loss: 0.636476, acc.: 65.62%] [G loss: 1.256549]\n",
            "60 [D loss: 0.634236, acc.: 68.75%] [G loss: 0.888046]\n",
            "61 [D loss: 0.828623, acc.: 53.12%] [G loss: 1.377264]\n",
            "62 [D loss: 0.825561, acc.: 40.62%] [G loss: 1.139370]\n",
            "63 [D loss: 1.114878, acc.: 39.06%] [G loss: 0.857670]\n",
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            "76 [D loss: 0.543379, acc.: 65.62%] [G loss: 0.982478]\n",
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            "154 [D loss: 0.831439, acc.: 39.06%] [G loss: 0.994789]\n",
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            "157 [D loss: 1.032118, acc.: 23.44%] [G loss: 0.931843]\n",
            "158 [D loss: 0.822930, acc.: 40.62%] [G loss: 1.216962]\n",
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            "172 [D loss: 1.017059, acc.: 32.81%] [G loss: 1.085522]\n",
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            "179 [D loss: 0.807146, acc.: 43.75%] [G loss: 0.963772]\n",
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            "189 [D loss: 1.009859, acc.: 37.50%] [G loss: 0.839067]\n",
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            "194 [D loss: 0.998742, acc.: 32.81%] [G loss: 1.071324]\n",
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            "346 [D loss: 0.794395, acc.: 42.19%] [G loss: 1.028619]\n",
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            "365 [D loss: 0.801308, acc.: 45.31%] [G loss: 1.013204]\n",
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            "367 [D loss: 0.919451, acc.: 39.06%] [G loss: 0.821924]\n",
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            "370 [D loss: 0.785092, acc.: 51.56%] [G loss: 0.958293]\n",
            "371 [D loss: 0.785113, acc.: 46.88%] [G loss: 1.004095]\n",
            "372 [D loss: 0.827815, acc.: 40.62%] [G loss: 1.073075]\n",
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            "381 [D loss: 0.774467, acc.: 50.00%] [G loss: 0.892517]\n",
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            "386 [D loss: 0.867917, acc.: 31.25%] [G loss: 0.859982]\n",
            "387 [D loss: 0.775294, acc.: 45.31%] [G loss: 0.852666]\n",
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            "389 [D loss: 0.740761, acc.: 56.25%] [G loss: 1.039242]\n",
            "390 [D loss: 0.827291, acc.: 42.19%] [G loss: 0.866508]\n",
            "391 [D loss: 0.772172, acc.: 51.56%] [G loss: 0.976892]\n",
            "392 [D loss: 0.827143, acc.: 42.19%] [G loss: 0.843289]\n",
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            "394 [D loss: 0.827509, acc.: 45.31%] [G loss: 0.955281]\n",
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            "396 [D loss: 0.684666, acc.: 57.81%] [G loss: 0.917379]\n",
            "397 [D loss: 0.913272, acc.: 34.38%] [G loss: 0.787060]\n",
            "398 [D loss: 0.688688, acc.: 59.38%] [G loss: 0.984180]\n",
            "399 [D loss: 0.815554, acc.: 42.19%] [G loss: 0.895998]\n",
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            "406 [D loss: 0.761987, acc.: 46.88%] [G loss: 1.183719]\n",
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            "410 [D loss: 0.810595, acc.: 43.75%] [G loss: 1.035954]\n",
            "411 [D loss: 0.785314, acc.: 37.50%] [G loss: 0.980338]\n",
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            "413 [D loss: 0.728999, acc.: 54.69%] [G loss: 0.927241]\n",
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            "416 [D loss: 0.781821, acc.: 48.44%] [G loss: 1.004077]\n",
            "417 [D loss: 0.767862, acc.: 50.00%] [G loss: 1.044390]\n",
            "418 [D loss: 0.765625, acc.: 53.12%] [G loss: 1.018103]\n",
            "419 [D loss: 0.727031, acc.: 48.44%] [G loss: 0.905826]\n",
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            "421 [D loss: 0.880306, acc.: 39.06%] [G loss: 1.100593]\n",
            "422 [D loss: 0.790030, acc.: 42.19%] [G loss: 0.932529]\n",
            "423 [D loss: 0.785492, acc.: 51.56%] [G loss: 1.143560]\n",
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            "428 [D loss: 0.813365, acc.: 45.31%] [G loss: 0.894178]\n",
            "429 [D loss: 0.769858, acc.: 40.62%] [G loss: 1.134382]\n",
            "430 [D loss: 0.742830, acc.: 59.38%] [G loss: 0.994172]\n",
            "431 [D loss: 0.782313, acc.: 46.88%] [G loss: 0.920699]\n",
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            "551 [D loss: 0.720817, acc.: 46.88%] [G loss: 1.022931]\n",
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            "554 [D loss: 0.674648, acc.: 65.62%] [G loss: 1.036989]\n",
            "555 [D loss: 0.743008, acc.: 54.69%] [G loss: 0.981005]\n",
            "556 [D loss: 0.780354, acc.: 45.31%] [G loss: 0.833277]\n",
            "557 [D loss: 0.706124, acc.: 60.94%] [G loss: 1.042032]\n",
            "558 [D loss: 0.696887, acc.: 53.12%] [G loss: 0.915891]\n",
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            "562 [D loss: 0.752506, acc.: 48.44%] [G loss: 0.932523]\n",
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            "564 [D loss: 0.731983, acc.: 48.44%] [G loss: 1.031475]\n",
            "565 [D loss: 0.763044, acc.: 59.38%] [G loss: 0.835481]\n",
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            "567 [D loss: 0.790946, acc.: 59.38%] [G loss: 0.828232]\n",
            "568 [D loss: 0.774255, acc.: 43.75%] [G loss: 0.818525]\n",
            "569 [D loss: 0.732952, acc.: 57.81%] [G loss: 0.894652]\n",
            "570 [D loss: 0.802686, acc.: 42.19%] [G loss: 0.864967]\n",
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            "573 [D loss: 0.729147, acc.: 53.12%] [G loss: 1.138825]\n",
            "574 [D loss: 0.785362, acc.: 45.31%] [G loss: 0.902761]\n",
            "575 [D loss: 0.707007, acc.: 51.56%] [G loss: 0.946138]\n",
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            "577 [D loss: 0.716147, acc.: 51.56%] [G loss: 1.000892]\n",
            "578 [D loss: 0.748105, acc.: 51.56%] [G loss: 0.844362]\n",
            "579 [D loss: 0.781594, acc.: 42.19%] [G loss: 0.985075]\n",
            "580 [D loss: 0.695451, acc.: 53.12%] [G loss: 0.937383]\n",
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            "585 [D loss: 0.750084, acc.: 51.56%] [G loss: 1.062766]\n",
            "586 [D loss: 0.804176, acc.: 39.06%] [G loss: 1.043918]\n",
            "587 [D loss: 0.782553, acc.: 45.31%] [G loss: 0.886507]\n",
            "588 [D loss: 0.692088, acc.: 57.81%] [G loss: 1.045334]\n",
            "589 [D loss: 0.790274, acc.: 46.88%] [G loss: 0.939047]\n",
            "590 [D loss: 0.773613, acc.: 43.75%] [G loss: 1.002116]\n",
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            "592 [D loss: 0.752590, acc.: 48.44%] [G loss: 0.927703]\n",
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            "594 [D loss: 0.699601, acc.: 62.50%] [G loss: 0.950542]\n",
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            "599 [D loss: 0.769619, acc.: 56.25%] [G loss: 0.841395]\n",
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            "602 [D loss: 0.813852, acc.: 35.94%] [G loss: 0.791341]\n",
            "603 [D loss: 0.680828, acc.: 59.38%] [G loss: 0.898183]\n",
            "604 [D loss: 0.718441, acc.: 54.69%] [G loss: 0.829891]\n",
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            "606 [D loss: 0.699269, acc.: 51.56%] [G loss: 0.955534]\n",
            "607 [D loss: 0.820311, acc.: 45.31%] [G loss: 0.942819]\n",
            "608 [D loss: 0.665007, acc.: 59.38%] [G loss: 1.042949]\n",
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            "610 [D loss: 0.674334, acc.: 59.38%] [G loss: 0.977575]\n",
            "611 [D loss: 0.796137, acc.: 40.62%] [G loss: 0.782815]\n",
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            "615 [D loss: 0.703392, acc.: 64.06%] [G loss: 0.924564]\n",
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            "619 [D loss: 0.772856, acc.: 50.00%] [G loss: 0.983039]\n",
            "620 [D loss: 0.669445, acc.: 57.81%] [G loss: 0.911950]\n",
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            "622 [D loss: 0.791272, acc.: 46.88%] [G loss: 0.906019]\n",
            "623 [D loss: 0.728132, acc.: 54.69%] [G loss: 0.824308]\n",
            "624 [D loss: 0.774266, acc.: 42.19%] [G loss: 0.997921]\n",
            "625 [D loss: 0.758004, acc.: 50.00%] [G loss: 1.030584]\n",
            "626 [D loss: 0.765708, acc.: 46.88%] [G loss: 0.965197]\n",
            "627 [D loss: 0.685760, acc.: 51.56%] [G loss: 0.844736]\n",
            "628 [D loss: 0.753199, acc.: 43.75%] [G loss: 0.882896]\n",
            "629 [D loss: 0.678765, acc.: 54.69%] [G loss: 1.082892]\n",
            "630 [D loss: 0.759022, acc.: 45.31%] [G loss: 0.824750]\n",
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            "632 [D loss: 0.739419, acc.: 46.88%] [G loss: 0.946452]\n",
            "633 [D loss: 0.760131, acc.: 53.12%] [G loss: 0.891110]\n",
            "634 [D loss: 0.755241, acc.: 53.12%] [G loss: 0.902866]\n",
            "635 [D loss: 0.780898, acc.: 48.44%] [G loss: 1.018022]\n",
            "636 [D loss: 0.693624, acc.: 56.25%] [G loss: 0.959096]\n",
            "637 [D loss: 0.663734, acc.: 56.25%] [G loss: 1.093106]\n",
            "638 [D loss: 0.759601, acc.: 46.88%] [G loss: 0.914761]\n",
            "639 [D loss: 0.654537, acc.: 62.50%] [G loss: 1.044294]\n",
            "640 [D loss: 0.733783, acc.: 45.31%] [G loss: 0.892266]\n",
            "641 [D loss: 0.707872, acc.: 51.56%] [G loss: 1.096257]\n",
            "642 [D loss: 0.754952, acc.: 48.44%] [G loss: 0.986880]\n",
            "643 [D loss: 0.794521, acc.: 39.06%] [G loss: 0.942575]\n",
            "644 [D loss: 0.766295, acc.: 45.31%] [G loss: 1.035892]\n",
            "645 [D loss: 0.705053, acc.: 54.69%] [G loss: 1.025308]\n",
            "646 [D loss: 0.742269, acc.: 54.69%] [G loss: 1.025245]\n",
            "647 [D loss: 0.676434, acc.: 62.50%] [G loss: 1.127579]\n",
            "648 [D loss: 0.742827, acc.: 50.00%] [G loss: 1.053951]\n",
            "649 [D loss: 0.848785, acc.: 43.75%] [G loss: 0.870261]\n",
            "650 [D loss: 0.722077, acc.: 51.56%] [G loss: 0.918188]\n",
            "651 [D loss: 0.756513, acc.: 48.44%] [G loss: 1.006330]\n",
            "652 [D loss: 0.714124, acc.: 59.38%] [G loss: 0.984191]\n",
            "653 [D loss: 0.785270, acc.: 39.06%] [G loss: 0.852513]\n",
            "654 [D loss: 0.691690, acc.: 54.69%] [G loss: 1.020343]\n",
            "655 [D loss: 0.812038, acc.: 43.75%] [G loss: 0.985466]\n",
            "656 [D loss: 0.887169, acc.: 42.19%] [G loss: 0.961153]\n",
            "657 [D loss: 0.777412, acc.: 42.19%] [G loss: 1.049309]\n",
            "658 [D loss: 0.717042, acc.: 54.69%] [G loss: 0.995803]\n",
            "659 [D loss: 0.841463, acc.: 35.94%] [G loss: 1.050769]\n",
            "660 [D loss: 0.763635, acc.: 48.44%] [G loss: 0.974239]\n",
            "661 [D loss: 0.783001, acc.: 46.88%] [G loss: 0.938438]\n",
            "662 [D loss: 0.758204, acc.: 53.12%] [G loss: 0.946094]\n",
            "663 [D loss: 0.764034, acc.: 50.00%] [G loss: 0.918720]\n",
            "664 [D loss: 0.740105, acc.: 54.69%] [G loss: 0.832233]\n",
            "665 [D loss: 0.695907, acc.: 60.94%] [G loss: 0.891775]\n",
            "666 [D loss: 0.750037, acc.: 45.31%] [G loss: 0.888712]\n",
            "667 [D loss: 0.809673, acc.: 43.75%] [G loss: 1.016093]\n",
            "668 [D loss: 0.648758, acc.: 60.94%] [G loss: 0.944557]\n",
            "669 [D loss: 0.761540, acc.: 50.00%] [G loss: 0.946652]\n",
            "670 [D loss: 0.694081, acc.: 54.69%] [G loss: 0.993550]\n",
            "671 [D loss: 0.762051, acc.: 51.56%] [G loss: 0.978462]\n",
            "672 [D loss: 0.635845, acc.: 60.94%] [G loss: 0.960165]\n",
            "673 [D loss: 0.678281, acc.: 62.50%] [G loss: 1.071381]\n",
            "674 [D loss: 0.779159, acc.: 39.06%] [G loss: 0.979717]\n",
            "675 [D loss: 0.767793, acc.: 45.31%] [G loss: 0.949001]\n",
            "676 [D loss: 0.718751, acc.: 51.56%] [G loss: 0.832354]\n",
            "677 [D loss: 0.696963, acc.: 53.12%] [G loss: 0.960341]\n",
            "678 [D loss: 0.769646, acc.: 42.19%] [G loss: 1.030695]\n",
            "679 [D loss: 0.677020, acc.: 60.94%] [G loss: 0.977942]\n",
            "680 [D loss: 0.676274, acc.: 57.81%] [G loss: 0.869274]\n",
            "681 [D loss: 0.714482, acc.: 57.81%] [G loss: 0.846315]\n",
            "682 [D loss: 0.717334, acc.: 60.94%] [G loss: 0.884447]\n",
            "683 [D loss: 0.740249, acc.: 46.88%] [G loss: 0.839280]\n",
            "684 [D loss: 0.775792, acc.: 46.88%] [G loss: 0.760491]\n",
            "685 [D loss: 0.725629, acc.: 65.62%] [G loss: 0.983511]\n",
            "686 [D loss: 0.805874, acc.: 42.19%] [G loss: 0.869224]\n",
            "687 [D loss: 0.728408, acc.: 51.56%] [G loss: 0.961104]\n",
            "688 [D loss: 0.837954, acc.: 39.06%] [G loss: 0.905739]\n",
            "689 [D loss: 0.776814, acc.: 50.00%] [G loss: 0.966675]\n",
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            "692 [D loss: 0.839132, acc.: 42.19%] [G loss: 0.845546]\n",
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            "696 [D loss: 0.754007, acc.: 43.75%] [G loss: 0.907382]\n",
            "697 [D loss: 0.712634, acc.: 51.56%] [G loss: 1.008907]\n",
            "698 [D loss: 0.775806, acc.: 40.62%] [G loss: 0.897729]\n",
            "699 [D loss: 0.734446, acc.: 54.69%] [G loss: 1.034569]\n",
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            "701 [D loss: 0.757683, acc.: 48.44%] [G loss: 0.907848]\n",
            "702 [D loss: 0.785331, acc.: 45.31%] [G loss: 0.955634]\n",
            "703 [D loss: 0.664293, acc.: 60.94%] [G loss: 1.062392]\n",
            "704 [D loss: 0.754524, acc.: 45.31%] [G loss: 1.027610]\n",
            "705 [D loss: 0.836832, acc.: 45.31%] [G loss: 0.915077]\n",
            "706 [D loss: 0.732550, acc.: 50.00%] [G loss: 0.895476]\n",
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            "708 [D loss: 0.793589, acc.: 46.88%] [G loss: 0.988803]\n",
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            "710 [D loss: 0.644931, acc.: 64.06%] [G loss: 1.045969]\n",
            "711 [D loss: 0.757291, acc.: 46.88%] [G loss: 1.097471]\n",
            "712 [D loss: 0.694770, acc.: 56.25%] [G loss: 1.081953]\n",
            "713 [D loss: 0.670765, acc.: 60.94%] [G loss: 0.883074]\n",
            "714 [D loss: 0.815678, acc.: 42.19%] [G loss: 0.810013]\n",
            "715 [D loss: 0.787595, acc.: 56.25%] [G loss: 0.889587]\n",
            "716 [D loss: 0.696185, acc.: 51.56%] [G loss: 0.960425]\n",
            "717 [D loss: 0.726747, acc.: 43.75%] [G loss: 0.996757]\n",
            "718 [D loss: 0.672204, acc.: 60.94%] [G loss: 1.073095]\n",
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            "722 [D loss: 0.689390, acc.: 57.81%] [G loss: 0.993259]\n",
            "723 [D loss: 0.653814, acc.: 62.50%] [G loss: 1.048174]\n",
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            "728 [D loss: 0.812082, acc.: 43.75%] [G loss: 1.094951]\n",
            "729 [D loss: 0.811146, acc.: 42.19%] [G loss: 1.065086]\n",
            "730 [D loss: 0.601923, acc.: 68.75%] [G loss: 1.026872]\n",
            "731 [D loss: 0.639008, acc.: 59.38%] [G loss: 1.028108]\n",
            "732 [D loss: 0.755622, acc.: 51.56%] [G loss: 1.084893]\n",
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            "737 [D loss: 0.776173, acc.: 46.88%] [G loss: 0.872043]\n",
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            "790 [D loss: 0.723714, acc.: 54.69%] [G loss: 0.909052]\n",
            "791 [D loss: 0.721957, acc.: 53.12%] [G loss: 1.027941]\n",
            "792 [D loss: 0.792828, acc.: 42.19%] [G loss: 0.941382]\n",
            "793 [D loss: 0.689417, acc.: 54.69%] [G loss: 0.873481]\n",
            "794 [D loss: 0.676292, acc.: 64.06%] [G loss: 0.929708]\n",
            "795 [D loss: 0.710601, acc.: 50.00%] [G loss: 0.952247]\n",
            "796 [D loss: 0.656957, acc.: 64.06%] [G loss: 1.135518]\n",
            "797 [D loss: 0.682593, acc.: 54.69%] [G loss: 0.947420]\n",
            "798 [D loss: 0.714334, acc.: 51.56%] [G loss: 1.063930]\n",
            "799 [D loss: 0.768151, acc.: 46.88%] [G loss: 1.027467]\n",
            "800 [D loss: 0.662511, acc.: 56.25%] [G loss: 1.111365]\n",
            "801 [D loss: 0.635060, acc.: 67.19%] [G loss: 1.000176]\n",
            "802 [D loss: 0.706603, acc.: 56.25%] [G loss: 1.173124]\n",
            "803 [D loss: 0.645993, acc.: 64.06%] [G loss: 0.851987]\n",
            "804 [D loss: 0.736617, acc.: 48.44%] [G loss: 1.065531]\n",
            "805 [D loss: 0.627438, acc.: 67.19%] [G loss: 1.000199]\n",
            "806 [D loss: 0.784356, acc.: 45.31%] [G loss: 1.029925]\n",
            "807 [D loss: 0.633172, acc.: 67.19%] [G loss: 1.020249]\n",
            "808 [D loss: 0.800836, acc.: 45.31%] [G loss: 0.909615]\n",
            "809 [D loss: 0.817300, acc.: 43.75%] [G loss: 0.842885]\n",
            "810 [D loss: 0.735190, acc.: 51.56%] [G loss: 0.924849]\n",
            "811 [D loss: 0.783418, acc.: 48.44%] [G loss: 0.923570]\n",
            "812 [D loss: 0.798965, acc.: 48.44%] [G loss: 1.029235]\n",
            "813 [D loss: 0.759823, acc.: 56.25%] [G loss: 0.948931]\n",
            "814 [D loss: 0.842572, acc.: 51.56%] [G loss: 1.055661]\n",
            "815 [D loss: 0.768877, acc.: 43.75%] [G loss: 0.889584]\n",
            "816 [D loss: 0.750135, acc.: 46.88%] [G loss: 0.978061]\n",
            "817 [D loss: 0.728035, acc.: 42.19%] [G loss: 0.923099]\n",
            "818 [D loss: 0.724594, acc.: 53.12%] [G loss: 1.043289]\n",
            "819 [D loss: 0.782047, acc.: 48.44%] [G loss: 0.900111]\n",
            "820 [D loss: 0.703949, acc.: 48.44%] [G loss: 1.092121]\n",
            "821 [D loss: 0.734301, acc.: 48.44%] [G loss: 1.106451]\n",
            "822 [D loss: 0.704592, acc.: 56.25%] [G loss: 0.950764]\n",
            "823 [D loss: 0.641781, acc.: 62.50%] [G loss: 1.029850]\n",
            "824 [D loss: 0.761724, acc.: 46.88%] [G loss: 1.019179]\n",
            "825 [D loss: 0.736320, acc.: 50.00%] [G loss: 0.974501]\n",
            "826 [D loss: 0.748006, acc.: 56.25%] [G loss: 0.838341]\n",
            "827 [D loss: 0.727735, acc.: 56.25%] [G loss: 0.937313]\n",
            "828 [D loss: 0.751952, acc.: 56.25%] [G loss: 0.915138]\n",
            "829 [D loss: 0.635592, acc.: 62.50%] [G loss: 0.929069]\n",
            "830 [D loss: 0.662962, acc.: 56.25%] [G loss: 0.835212]\n",
            "831 [D loss: 0.732641, acc.: 57.81%] [G loss: 0.972497]\n",
            "832 [D loss: 0.703076, acc.: 54.69%] [G loss: 1.012165]\n",
            "833 [D loss: 0.766834, acc.: 40.62%] [G loss: 0.996135]\n",
            "834 [D loss: 0.665350, acc.: 59.38%] [G loss: 0.838300]\n",
            "835 [D loss: 0.740321, acc.: 46.88%] [G loss: 0.923749]\n",
            "836 [D loss: 0.920240, acc.: 34.38%] [G loss: 0.822084]\n",
            "837 [D loss: 0.805076, acc.: 46.88%] [G loss: 1.036372]\n",
            "838 [D loss: 0.809662, acc.: 45.31%] [G loss: 0.925458]\n",
            "839 [D loss: 0.669454, acc.: 54.69%] [G loss: 0.865540]\n",
            "840 [D loss: 0.800953, acc.: 48.44%] [G loss: 0.893329]\n",
            "841 [D loss: 0.709742, acc.: 53.12%] [G loss: 0.916990]\n",
            "842 [D loss: 0.691007, acc.: 56.25%] [G loss: 1.058158]\n",
            "843 [D loss: 0.802372, acc.: 40.62%] [G loss: 0.848413]\n",
            "844 [D loss: 0.725001, acc.: 53.12%] [G loss: 0.859815]\n",
            "845 [D loss: 0.667330, acc.: 64.06%] [G loss: 0.993088]\n",
            "846 [D loss: 0.692168, acc.: 57.81%] [G loss: 1.007015]\n",
            "847 [D loss: 0.700460, acc.: 56.25%] [G loss: 0.875026]\n",
            "848 [D loss: 0.743538, acc.: 45.31%] [G loss: 0.825290]\n",
            "849 [D loss: 0.713253, acc.: 53.12%] [G loss: 0.877581]\n",
            "850 [D loss: 0.700010, acc.: 54.69%] [G loss: 1.047141]\n",
            "851 [D loss: 0.806009, acc.: 46.88%] [G loss: 0.956427]\n",
            "852 [D loss: 0.703081, acc.: 60.94%] [G loss: 0.926337]\n",
            "853 [D loss: 0.782674, acc.: 48.44%] [G loss: 0.823638]\n",
            "854 [D loss: 0.758096, acc.: 43.75%] [G loss: 0.925334]\n",
            "855 [D loss: 0.772670, acc.: 48.44%] [G loss: 0.810214]\n",
            "856 [D loss: 0.749387, acc.: 43.75%] [G loss: 0.938663]\n",
            "857 [D loss: 0.663018, acc.: 60.94%] [G loss: 1.128397]\n",
            "858 [D loss: 0.801210, acc.: 45.31%] [G loss: 0.984821]\n",
            "859 [D loss: 0.655411, acc.: 64.06%] [G loss: 1.123404]\n",
            "860 [D loss: 0.699938, acc.: 56.25%] [G loss: 1.033239]\n",
            "861 [D loss: 0.742582, acc.: 54.69%] [G loss: 1.000339]\n",
            "862 [D loss: 0.658414, acc.: 57.81%] [G loss: 0.982990]\n",
            "863 [D loss: 0.675749, acc.: 50.00%] [G loss: 0.944698]\n",
            "864 [D loss: 0.732396, acc.: 53.12%] [G loss: 0.967948]\n",
            "865 [D loss: 0.730186, acc.: 46.88%] [G loss: 0.973668]\n",
            "866 [D loss: 0.755276, acc.: 59.38%] [G loss: 0.982789]\n",
            "867 [D loss: 0.859475, acc.: 46.88%] [G loss: 0.945397]\n",
            "868 [D loss: 0.641030, acc.: 59.38%] [G loss: 1.136423]\n",
            "869 [D loss: 0.709140, acc.: 51.56%] [G loss: 1.049029]\n",
            "870 [D loss: 0.676272, acc.: 62.50%] [G loss: 1.021896]\n",
            "871 [D loss: 0.817343, acc.: 35.94%] [G loss: 0.926669]\n",
            "872 [D loss: 0.810886, acc.: 45.31%] [G loss: 0.853339]\n",
            "873 [D loss: 0.882237, acc.: 37.50%] [G loss: 0.801894]\n",
            "874 [D loss: 0.663570, acc.: 53.12%] [G loss: 1.051662]\n",
            "875 [D loss: 0.683756, acc.: 60.94%] [G loss: 1.000884]\n",
            "876 [D loss: 0.724524, acc.: 51.56%] [G loss: 0.925381]\n",
            "877 [D loss: 0.774799, acc.: 42.19%] [G loss: 0.866756]\n",
            "878 [D loss: 0.697566, acc.: 57.81%] [G loss: 0.986444]\n",
            "879 [D loss: 0.769604, acc.: 48.44%] [G loss: 0.846756]\n",
            "880 [D loss: 0.732668, acc.: 51.56%] [G loss: 0.862550]\n",
            "881 [D loss: 0.710595, acc.: 50.00%] [G loss: 0.910476]\n",
            "882 [D loss: 0.808475, acc.: 48.44%] [G loss: 0.842369]\n",
            "883 [D loss: 0.842396, acc.: 40.62%] [G loss: 0.845971]\n",
            "884 [D loss: 0.694800, acc.: 53.12%] [G loss: 0.804211]\n",
            "885 [D loss: 0.674605, acc.: 56.25%] [G loss: 0.837986]\n",
            "886 [D loss: 0.826882, acc.: 45.31%] [G loss: 0.821484]\n",
            "887 [D loss: 0.722942, acc.: 50.00%] [G loss: 0.967998]\n",
            "888 [D loss: 0.789060, acc.: 42.19%] [G loss: 0.982179]\n",
            "889 [D loss: 0.603292, acc.: 71.88%] [G loss: 1.008466]\n",
            "890 [D loss: 0.709517, acc.: 53.12%] [G loss: 1.020151]\n",
            "891 [D loss: 0.756939, acc.: 50.00%] [G loss: 0.908014]\n",
            "892 [D loss: 0.680287, acc.: 62.50%] [G loss: 0.838139]\n",
            "893 [D loss: 0.743488, acc.: 48.44%] [G loss: 0.912441]\n",
            "894 [D loss: 0.687856, acc.: 51.56%] [G loss: 0.960144]\n",
            "895 [D loss: 0.807574, acc.: 37.50%] [G loss: 1.026650]\n",
            "896 [D loss: 0.789597, acc.: 53.12%] [G loss: 1.018240]\n",
            "897 [D loss: 0.817317, acc.: 48.44%] [G loss: 1.191550]\n",
            "898 [D loss: 0.656354, acc.: 57.81%] [G loss: 0.967174]\n",
            "899 [D loss: 0.713862, acc.: 51.56%] [G loss: 0.909080]\n",
            "900 [D loss: 0.696775, acc.: 60.94%] [G loss: 0.844651]\n",
            "901 [D loss: 0.660530, acc.: 57.81%] [G loss: 0.971821]\n",
            "902 [D loss: 0.689745, acc.: 57.81%] [G loss: 0.984164]\n",
            "903 [D loss: 0.717801, acc.: 50.00%] [G loss: 0.817879]\n",
            "904 [D loss: 0.824019, acc.: 39.06%] [G loss: 0.827821]\n",
            "905 [D loss: 0.818692, acc.: 37.50%] [G loss: 0.952988]\n",
            "906 [D loss: 0.714328, acc.: 56.25%] [G loss: 0.966473]\n",
            "907 [D loss: 0.761404, acc.: 43.75%] [G loss: 0.888931]\n",
            "908 [D loss: 0.750254, acc.: 48.44%] [G loss: 0.973447]\n",
            "909 [D loss: 0.743905, acc.: 48.44%] [G loss: 0.720090]\n",
            "910 [D loss: 0.805079, acc.: 40.62%] [G loss: 0.897927]\n",
            "911 [D loss: 0.718986, acc.: 51.56%] [G loss: 1.034590]\n",
            "912 [D loss: 0.701357, acc.: 62.50%] [G loss: 0.951550]\n",
            "913 [D loss: 0.849155, acc.: 40.62%] [G loss: 0.908847]\n",
            "914 [D loss: 0.694587, acc.: 56.25%] [G loss: 1.059203]\n",
            "915 [D loss: 0.642501, acc.: 67.19%] [G loss: 0.862518]\n",
            "916 [D loss: 0.800407, acc.: 45.31%] [G loss: 1.013314]\n",
            "917 [D loss: 0.734805, acc.: 50.00%] [G loss: 0.848077]\n",
            "918 [D loss: 0.712716, acc.: 51.56%] [G loss: 0.920707]\n",
            "919 [D loss: 0.751824, acc.: 46.88%] [G loss: 0.874817]\n",
            "920 [D loss: 0.739493, acc.: 51.56%] [G loss: 0.892030]\n",
            "921 [D loss: 0.723056, acc.: 57.81%] [G loss: 0.918948]\n",
            "922 [D loss: 0.700440, acc.: 59.38%] [G loss: 1.000256]\n",
            "923 [D loss: 0.833420, acc.: 37.50%] [G loss: 0.952994]\n",
            "924 [D loss: 0.663302, acc.: 57.81%] [G loss: 1.039716]\n",
            "925 [D loss: 0.765332, acc.: 48.44%] [G loss: 1.070651]\n",
            "926 [D loss: 0.763273, acc.: 43.75%] [G loss: 0.906643]\n",
            "927 [D loss: 0.736767, acc.: 45.31%] [G loss: 1.019993]\n",
            "928 [D loss: 0.776573, acc.: 50.00%] [G loss: 0.878202]\n",
            "929 [D loss: 0.743596, acc.: 46.88%] [G loss: 0.903273]\n",
            "930 [D loss: 0.717394, acc.: 50.00%] [G loss: 0.823422]\n",
            "931 [D loss: 0.738656, acc.: 48.44%] [G loss: 0.815853]\n",
            "932 [D loss: 0.781292, acc.: 43.75%] [G loss: 0.931246]\n",
            "933 [D loss: 0.681896, acc.: 60.94%] [G loss: 0.878739]\n",
            "934 [D loss: 0.843541, acc.: 37.50%] [G loss: 0.913601]\n",
            "935 [D loss: 0.735581, acc.: 54.69%] [G loss: 1.010047]\n",
            "936 [D loss: 0.773836, acc.: 45.31%] [G loss: 0.821308]\n",
            "937 [D loss: 0.777339, acc.: 48.44%] [G loss: 0.876497]\n",
            "938 [D loss: 0.703709, acc.: 57.81%] [G loss: 1.019128]\n",
            "939 [D loss: 0.773643, acc.: 42.19%] [G loss: 0.875358]\n",
            "940 [D loss: 0.687736, acc.: 54.69%] [G loss: 0.894103]\n",
            "941 [D loss: 0.717455, acc.: 56.25%] [G loss: 0.880412]\n",
            "942 [D loss: 0.830941, acc.: 34.38%] [G loss: 0.961887]\n",
            "943 [D loss: 0.803847, acc.: 39.06%] [G loss: 0.874132]\n",
            "944 [D loss: 0.658245, acc.: 60.94%] [G loss: 0.845793]\n",
            "945 [D loss: 0.730748, acc.: 56.25%] [G loss: 0.910374]\n",
            "946 [D loss: 0.774589, acc.: 40.62%] [G loss: 0.845015]\n",
            "947 [D loss: 0.726518, acc.: 54.69%] [G loss: 0.835694]\n",
            "948 [D loss: 0.710490, acc.: 54.69%] [G loss: 0.940400]\n",
            "949 [D loss: 0.832242, acc.: 39.06%] [G loss: 1.000535]\n",
            "950 [D loss: 0.749550, acc.: 45.31%] [G loss: 0.975586]\n",
            "951 [D loss: 0.721916, acc.: 57.81%] [G loss: 1.055660]\n",
            "952 [D loss: 0.793052, acc.: 37.50%] [G loss: 0.969084]\n",
            "953 [D loss: 0.770465, acc.: 45.31%] [G loss: 0.984921]\n",
            "954 [D loss: 0.760723, acc.: 43.75%] [G loss: 0.901681]\n",
            "955 [D loss: 0.861108, acc.: 35.94%] [G loss: 0.881320]\n",
            "956 [D loss: 0.732590, acc.: 46.88%] [G loss: 0.984933]\n",
            "957 [D loss: 0.751214, acc.: 46.88%] [G loss: 0.845700]\n",
            "958 [D loss: 0.734419, acc.: 48.44%] [G loss: 0.952280]\n",
            "959 [D loss: 0.810292, acc.: 42.19%] [G loss: 0.821745]\n",
            "960 [D loss: 0.757831, acc.: 56.25%] [G loss: 0.730856]\n",
            "961 [D loss: 0.756699, acc.: 42.19%] [G loss: 0.834216]\n",
            "962 [D loss: 0.786853, acc.: 48.44%] [G loss: 0.966243]\n",
            "963 [D loss: 0.791997, acc.: 43.75%] [G loss: 0.965988]\n",
            "964 [D loss: 0.808069, acc.: 43.75%] [G loss: 1.024645]\n",
            "965 [D loss: 0.765422, acc.: 45.31%] [G loss: 0.850641]\n",
            "966 [D loss: 0.680220, acc.: 57.81%] [G loss: 0.986473]\n",
            "967 [D loss: 0.754801, acc.: 48.44%] [G loss: 1.045350]\n",
            "968 [D loss: 0.775312, acc.: 50.00%] [G loss: 0.993860]\n",
            "969 [D loss: 0.777551, acc.: 45.31%] [G loss: 0.944542]\n",
            "970 [D loss: 0.845960, acc.: 35.94%] [G loss: 0.869649]\n",
            "971 [D loss: 0.710135, acc.: 51.56%] [G loss: 0.912666]\n",
            "972 [D loss: 0.749218, acc.: 45.31%] [G loss: 1.063502]\n",
            "973 [D loss: 0.775180, acc.: 43.75%] [G loss: 0.975070]\n",
            "974 [D loss: 0.706087, acc.: 53.12%] [G loss: 1.031448]\n",
            "975 [D loss: 0.621983, acc.: 64.06%] [G loss: 0.868711]\n",
            "976 [D loss: 0.781412, acc.: 45.31%] [G loss: 0.985016]\n",
            "977 [D loss: 0.701998, acc.: 51.56%] [G loss: 1.057593]\n",
            "978 [D loss: 0.664085, acc.: 65.62%] [G loss: 0.837574]\n",
            "979 [D loss: 0.747026, acc.: 50.00%] [G loss: 0.945213]\n",
            "980 [D loss: 0.804390, acc.: 40.62%] [G loss: 0.808882]\n",
            "981 [D loss: 0.689480, acc.: 50.00%] [G loss: 1.001931]\n",
            "982 [D loss: 0.832251, acc.: 37.50%] [G loss: 0.918974]\n",
            "983 [D loss: 0.688312, acc.: 56.25%] [G loss: 0.810640]\n",
            "984 [D loss: 0.685175, acc.: 53.12%] [G loss: 0.933834]\n",
            "985 [D loss: 0.745292, acc.: 50.00%] [G loss: 0.980485]\n",
            "986 [D loss: 0.731406, acc.: 51.56%] [G loss: 0.886151]\n",
            "987 [D loss: 0.730495, acc.: 50.00%] [G loss: 1.004360]\n",
            "988 [D loss: 0.711178, acc.: 56.25%] [G loss: 0.993003]\n",
            "989 [D loss: 0.681310, acc.: 57.81%] [G loss: 0.812742]\n",
            "990 [D loss: 0.728621, acc.: 54.69%] [G loss: 0.979257]\n",
            "991 [D loss: 0.710483, acc.: 53.12%] [G loss: 0.889656]\n",
            "992 [D loss: 0.803764, acc.: 42.19%] [G loss: 0.802666]\n",
            "993 [D loss: 0.764203, acc.: 46.88%] [G loss: 0.953451]\n",
            "994 [D loss: 0.675818, acc.: 53.12%] [G loss: 0.913096]\n",
            "995 [D loss: 0.724073, acc.: 51.56%] [G loss: 0.911306]\n",
            "996 [D loss: 0.683833, acc.: 51.56%] [G loss: 1.046782]\n",
            "997 [D loss: 0.739552, acc.: 51.56%] [G loss: 1.022855]\n",
            "998 [D loss: 0.771561, acc.: 53.12%] [G loss: 0.916110]\n",
            "999 [D loss: 0.705365, acc.: 57.81%] [G loss: 0.960913]\n",
            "1000 [D loss: 0.696493, acc.: 60.94%] [G loss: 0.926126]\n",
            "1001 [D loss: 0.726514, acc.: 48.44%] [G loss: 0.929919]\n",
            "1002 [D loss: 0.742149, acc.: 51.56%] [G loss: 0.875405]\n",
            "1003 [D loss: 0.716151, acc.: 51.56%] [G loss: 0.972000]\n",
            "1004 [D loss: 0.725492, acc.: 48.44%] [G loss: 0.867524]\n",
            "1005 [D loss: 0.799781, acc.: 39.06%] [G loss: 0.906506]\n",
            "1006 [D loss: 0.793175, acc.: 43.75%] [G loss: 0.992997]\n",
            "1007 [D loss: 0.709912, acc.: 51.56%] [G loss: 0.943715]\n",
            "1008 [D loss: 0.731428, acc.: 50.00%] [G loss: 0.890360]\n",
            "1009 [D loss: 0.794130, acc.: 42.19%] [G loss: 0.861605]\n",
            "1010 [D loss: 0.808158, acc.: 32.81%] [G loss: 0.803358]\n",
            "1011 [D loss: 0.689191, acc.: 54.69%] [G loss: 0.962327]\n",
            "1012 [D loss: 0.754799, acc.: 50.00%] [G loss: 0.926941]\n",
            "1013 [D loss: 0.723615, acc.: 48.44%] [G loss: 0.914515]\n",
            "1014 [D loss: 0.716527, acc.: 53.12%] [G loss: 0.894534]\n",
            "1015 [D loss: 0.732059, acc.: 51.56%] [G loss: 0.900846]\n",
            "1016 [D loss: 0.701037, acc.: 56.25%] [G loss: 1.000397]\n",
            "1017 [D loss: 0.756392, acc.: 45.31%] [G loss: 1.061978]\n",
            "1018 [D loss: 0.726354, acc.: 46.88%] [G loss: 0.953168]\n",
            "1019 [D loss: 0.834938, acc.: 37.50%] [G loss: 0.970233]\n",
            "1020 [D loss: 0.766998, acc.: 43.75%] [G loss: 0.895739]\n",
            "1021 [D loss: 0.793503, acc.: 48.44%] [G loss: 0.786351]\n",
            "1022 [D loss: 0.754436, acc.: 50.00%] [G loss: 0.876166]\n",
            "1023 [D loss: 0.776229, acc.: 43.75%] [G loss: 0.953658]\n",
            "1024 [D loss: 0.701328, acc.: 57.81%] [G loss: 0.984108]\n",
            "1025 [D loss: 0.710779, acc.: 53.12%] [G loss: 0.900294]\n",
            "1026 [D loss: 0.764094, acc.: 46.88%] [G loss: 0.910953]\n",
            "1027 [D loss: 0.693517, acc.: 54.69%] [G loss: 1.012660]\n",
            "1028 [D loss: 0.817758, acc.: 32.81%] [G loss: 0.861236]\n",
            "1029 [D loss: 0.643320, acc.: 59.38%] [G loss: 0.982250]\n",
            "1030 [D loss: 0.775398, acc.: 46.88%] [G loss: 0.934382]\n",
            "1031 [D loss: 0.769773, acc.: 53.12%] [G loss: 0.911398]\n",
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            "1037 [D loss: 0.768659, acc.: 45.31%] [G loss: 0.900246]\n",
            "1038 [D loss: 0.750130, acc.: 53.12%] [G loss: 0.973014]\n",
            "1039 [D loss: 0.814129, acc.: 34.38%] [G loss: 0.956943]\n",
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            "1041 [D loss: 0.682800, acc.: 56.25%] [G loss: 0.916262]\n",
            "1042 [D loss: 0.727518, acc.: 51.56%] [G loss: 0.834229]\n",
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            "1046 [D loss: 0.765753, acc.: 43.75%] [G loss: 0.940722]\n",
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            "1053 [D loss: 0.751176, acc.: 48.44%] [G loss: 0.855285]\n",
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            "1055 [D loss: 0.659063, acc.: 64.06%] [G loss: 0.929356]\n",
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            "1058 [D loss: 0.746691, acc.: 40.62%] [G loss: 0.784212]\n",
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            "1065 [D loss: 0.802874, acc.: 45.31%] [G loss: 1.004575]\n",
            "1066 [D loss: 0.784195, acc.: 46.88%] [G loss: 0.944205]\n",
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            "1068 [D loss: 0.610436, acc.: 71.88%] [G loss: 1.123443]\n",
            "1069 [D loss: 0.741051, acc.: 51.56%] [G loss: 0.959250]\n",
            "1070 [D loss: 0.851805, acc.: 37.50%] [G loss: 0.865733]\n",
            "1071 [D loss: 0.730679, acc.: 59.38%] [G loss: 0.890272]\n",
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            "1073 [D loss: 0.704209, acc.: 51.56%] [G loss: 0.851456]\n",
            "1074 [D loss: 0.695539, acc.: 53.12%] [G loss: 0.834944]\n",
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            "1077 [D loss: 0.664609, acc.: 57.81%] [G loss: 0.754808]\n",
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            "1079 [D loss: 0.763285, acc.: 43.75%] [G loss: 0.994336]\n",
            "1080 [D loss: 0.762696, acc.: 46.88%] [G loss: 0.882229]\n",
            "1081 [D loss: 0.723571, acc.: 59.38%] [G loss: 0.916874]\n",
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            "1084 [D loss: 0.713307, acc.: 48.44%] [G loss: 0.796160]\n",
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            "1089 [D loss: 0.717663, acc.: 48.44%] [G loss: 0.914586]\n",
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            "1092 [D loss: 0.800341, acc.: 46.88%] [G loss: 0.923748]\n",
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            "1095 [D loss: 0.789475, acc.: 43.75%] [G loss: 0.920812]\n",
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            "1100 [D loss: 0.768233, acc.: 50.00%] [G loss: 0.937547]\n",
            "1101 [D loss: 0.733964, acc.: 53.12%] [G loss: 0.990404]\n",
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            "1103 [D loss: 0.743838, acc.: 50.00%] [G loss: 0.949455]\n",
            "1104 [D loss: 0.759040, acc.: 45.31%] [G loss: 0.905628]\n",
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            "1111 [D loss: 0.720697, acc.: 54.69%] [G loss: 0.800762]\n",
            "1112 [D loss: 0.812201, acc.: 37.50%] [G loss: 0.898585]\n",
            "1113 [D loss: 0.761892, acc.: 48.44%] [G loss: 0.914108]\n",
            "1114 [D loss: 0.765866, acc.: 43.75%] [G loss: 0.907532]\n",
            "1115 [D loss: 0.761094, acc.: 50.00%] [G loss: 0.817315]\n",
            "1116 [D loss: 0.792070, acc.: 48.44%] [G loss: 0.937419]\n",
            "1117 [D loss: 0.733911, acc.: 46.88%] [G loss: 0.835184]\n",
            "1118 [D loss: 0.731586, acc.: 45.31%] [G loss: 1.008159]\n",
            "1119 [D loss: 0.673756, acc.: 57.81%] [G loss: 0.940055]\n",
            "1120 [D loss: 0.680290, acc.: 62.50%] [G loss: 0.878296]\n",
            "1121 [D loss: 0.785636, acc.: 51.56%] [G loss: 0.829941]\n",
            "1122 [D loss: 0.724462, acc.: 48.44%] [G loss: 0.956899]\n",
            "1123 [D loss: 0.747942, acc.: 50.00%] [G loss: 0.932963]\n",
            "1124 [D loss: 0.723942, acc.: 48.44%] [G loss: 0.895012]\n",
            "1125 [D loss: 0.718570, acc.: 57.81%] [G loss: 0.834985]\n",
            "1126 [D loss: 0.685906, acc.: 53.12%] [G loss: 0.846664]\n",
            "1127 [D loss: 0.753440, acc.: 45.31%] [G loss: 0.830597]\n",
            "1128 [D loss: 0.683276, acc.: 57.81%] [G loss: 0.904103]\n",
            "1129 [D loss: 0.682122, acc.: 59.38%] [G loss: 0.866534]\n",
            "1130 [D loss: 0.730030, acc.: 50.00%] [G loss: 0.843805]\n",
            "1131 [D loss: 0.724712, acc.: 50.00%] [G loss: 0.814357]\n",
            "1132 [D loss: 0.792786, acc.: 34.38%] [G loss: 0.924008]\n",
            "1133 [D loss: 0.784369, acc.: 43.75%] [G loss: 0.816188]\n",
            "1134 [D loss: 0.813058, acc.: 50.00%] [G loss: 0.791251]\n",
            "1135 [D loss: 0.795317, acc.: 40.62%] [G loss: 0.862644]\n",
            "1136 [D loss: 0.693560, acc.: 46.88%] [G loss: 0.967986]\n",
            "1137 [D loss: 0.739797, acc.: 54.69%] [G loss: 1.000593]\n",
            "1138 [D loss: 0.749080, acc.: 50.00%] [G loss: 0.945821]\n",
            "1139 [D loss: 0.698028, acc.: 57.81%] [G loss: 0.900496]\n",
            "1140 [D loss: 0.721071, acc.: 51.56%] [G loss: 0.881353]\n",
            "1141 [D loss: 0.725100, acc.: 50.00%] [G loss: 0.862971]\n",
            "1142 [D loss: 0.754620, acc.: 45.31%] [G loss: 0.898147]\n",
            "1143 [D loss: 0.759856, acc.: 46.88%] [G loss: 0.864891]\n",
            "1144 [D loss: 0.716064, acc.: 51.56%] [G loss: 0.759986]\n",
            "1145 [D loss: 0.820194, acc.: 42.19%] [G loss: 0.812988]\n",
            "1146 [D loss: 0.681707, acc.: 59.38%] [G loss: 0.935358]\n",
            "1147 [D loss: 0.768961, acc.: 46.88%] [G loss: 1.018424]\n",
            "1148 [D loss: 0.799527, acc.: 39.06%] [G loss: 0.939099]\n",
            "1149 [D loss: 0.733754, acc.: 48.44%] [G loss: 0.954457]\n",
            "1150 [D loss: 0.799724, acc.: 31.25%] [G loss: 1.052014]\n",
            "1151 [D loss: 0.776039, acc.: 43.75%] [G loss: 1.058452]\n",
            "1152 [D loss: 0.779503, acc.: 46.88%] [G loss: 0.830815]\n",
            "1153 [D loss: 0.730870, acc.: 56.25%] [G loss: 0.919894]\n",
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            "1155 [D loss: 0.716358, acc.: 54.69%] [G loss: 0.988993]\n",
            "1156 [D loss: 0.761836, acc.: 51.56%] [G loss: 0.974809]\n",
            "1157 [D loss: 0.683875, acc.: 60.94%] [G loss: 0.961428]\n",
            "1158 [D loss: 0.694356, acc.: 54.69%] [G loss: 0.903415]\n",
            "1159 [D loss: 0.756587, acc.: 50.00%] [G loss: 0.926933]\n",
            "1160 [D loss: 0.773007, acc.: 40.62%] [G loss: 0.817091]\n",
            "1161 [D loss: 0.679894, acc.: 57.81%] [G loss: 0.907201]\n",
            "1162 [D loss: 0.713873, acc.: 57.81%] [G loss: 0.980521]\n",
            "1163 [D loss: 0.777218, acc.: 42.19%] [G loss: 0.936076]\n",
            "1164 [D loss: 0.783756, acc.: 43.75%] [G loss: 0.888061]\n",
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            "1166 [D loss: 0.700986, acc.: 53.12%] [G loss: 0.963538]\n",
            "1167 [D loss: 0.737686, acc.: 50.00%] [G loss: 0.975895]\n",
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            "1169 [D loss: 0.707697, acc.: 53.12%] [G loss: 0.885985]\n",
            "1170 [D loss: 0.821903, acc.: 25.00%] [G loss: 0.829365]\n",
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            "1177 [D loss: 0.723554, acc.: 59.38%] [G loss: 0.985617]\n",
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            "1190 [D loss: 0.636540, acc.: 67.19%] [G loss: 0.956251]\n",
            "1191 [D loss: 0.762680, acc.: 43.75%] [G loss: 0.973516]\n",
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            "1197 [D loss: 0.760166, acc.: 48.44%] [G loss: 0.860627]\n",
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            "1199 [D loss: 0.713537, acc.: 64.06%] [G loss: 0.857132]\n",
            "1200 [D loss: 0.697042, acc.: 56.25%] [G loss: 0.964971]\n",
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            "1202 [D loss: 0.793256, acc.: 48.44%] [G loss: 0.870619]\n",
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            "1234 [D loss: 0.715631, acc.: 53.12%] [G loss: 0.914229]\n",
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            "1277 [D loss: 0.752707, acc.: 53.12%] [G loss: 1.017899]\n",
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            "1287 [D loss: 0.776137, acc.: 42.19%] [G loss: 0.940724]\n",
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            "1301 [D loss: 0.723720, acc.: 43.75%] [G loss: 0.963060]\n",
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            "1305 [D loss: 0.660572, acc.: 68.75%] [G loss: 0.972586]\n",
            "1306 [D loss: 0.718129, acc.: 56.25%] [G loss: 0.933243]\n",
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            "1314 [D loss: 0.685343, acc.: 51.56%] [G loss: 0.751367]\n",
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            "1317 [D loss: 0.730756, acc.: 48.44%] [G loss: 0.870692]\n",
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            "1322 [D loss: 0.744138, acc.: 43.75%] [G loss: 1.013863]\n",
            "1323 [D loss: 0.757882, acc.: 42.19%] [G loss: 0.903980]\n",
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            "1325 [D loss: 0.729509, acc.: 56.25%] [G loss: 0.828385]\n",
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            "1327 [D loss: 0.773992, acc.: 42.19%] [G loss: 0.799644]\n",
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            "1329 [D loss: 0.669488, acc.: 65.62%] [G loss: 0.994037]\n",
            "1330 [D loss: 0.684930, acc.: 54.69%] [G loss: 0.927311]\n",
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            "1334 [D loss: 0.680554, acc.: 56.25%] [G loss: 1.068469]\n",
            "1335 [D loss: 0.761151, acc.: 48.44%] [G loss: 0.938060]\n",
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            "1337 [D loss: 0.759594, acc.: 40.62%] [G loss: 0.801185]\n",
            "1338 [D loss: 0.716081, acc.: 50.00%] [G loss: 0.871691]\n",
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            "1340 [D loss: 0.779609, acc.: 45.31%] [G loss: 0.918949]\n",
            "1341 [D loss: 0.650508, acc.: 67.19%] [G loss: 0.849615]\n",
            "1342 [D loss: 0.785554, acc.: 42.19%] [G loss: 0.841492]\n",
            "1343 [D loss: 0.685042, acc.: 60.94%] [G loss: 0.902063]\n",
            "1344 [D loss: 0.709107, acc.: 54.69%] [G loss: 0.973149]\n",
            "1345 [D loss: 0.882458, acc.: 37.50%] [G loss: 0.782960]\n",
            "1346 [D loss: 0.746964, acc.: 46.88%] [G loss: 0.844144]\n",
            "1347 [D loss: 0.656337, acc.: 64.06%] [G loss: 0.928596]\n",
            "1348 [D loss: 0.712294, acc.: 56.25%] [G loss: 0.920798]\n",
            "1349 [D loss: 0.777915, acc.: 42.19%] [G loss: 0.802007]\n",
            "1350 [D loss: 0.741848, acc.: 46.88%] [G loss: 0.939349]\n",
            "1351 [D loss: 0.675591, acc.: 56.25%] [G loss: 0.888199]\n",
            "1352 [D loss: 0.794233, acc.: 46.88%] [G loss: 0.786026]\n",
            "1353 [D loss: 0.731116, acc.: 51.56%] [G loss: 0.909054]\n",
            "1354 [D loss: 0.632026, acc.: 57.81%] [G loss: 0.809135]\n",
            "1355 [D loss: 0.702223, acc.: 48.44%] [G loss: 0.971042]\n",
            "1356 [D loss: 0.727495, acc.: 46.88%] [G loss: 0.827968]\n",
            "1357 [D loss: 0.707375, acc.: 56.25%] [G loss: 0.932914]\n",
            "1358 [D loss: 0.730020, acc.: 56.25%] [G loss: 0.854659]\n",
            "1359 [D loss: 0.713750, acc.: 54.69%] [G loss: 0.864774]\n",
            "1360 [D loss: 0.775120, acc.: 37.50%] [G loss: 0.874389]\n",
            "1361 [D loss: 0.754223, acc.: 48.44%] [G loss: 0.884716]\n",
            "1362 [D loss: 0.688796, acc.: 51.56%] [G loss: 0.890350]\n",
            "1363 [D loss: 0.716213, acc.: 51.56%] [G loss: 0.869160]\n",
            "1364 [D loss: 0.733394, acc.: 45.31%] [G loss: 0.804670]\n",
            "1365 [D loss: 0.682959, acc.: 54.69%] [G loss: 0.841613]\n",
            "1366 [D loss: 0.724925, acc.: 50.00%] [G loss: 0.949451]\n",
            "1367 [D loss: 0.741712, acc.: 43.75%] [G loss: 0.988372]\n",
            "1368 [D loss: 0.783694, acc.: 37.50%] [G loss: 0.863497]\n",
            "1369 [D loss: 0.693798, acc.: 62.50%] [G loss: 0.948085]\n",
            "1370 [D loss: 0.692691, acc.: 53.12%] [G loss: 0.973255]\n",
            "1371 [D loss: 0.676487, acc.: 59.38%] [G loss: 0.907284]\n",
            "1372 [D loss: 0.714485, acc.: 48.44%] [G loss: 0.909381]\n",
            "1373 [D loss: 0.751161, acc.: 48.44%] [G loss: 0.790132]\n",
            "1374 [D loss: 0.695082, acc.: 57.81%] [G loss: 0.861996]\n",
            "1375 [D loss: 0.651217, acc.: 65.62%] [G loss: 0.919185]\n",
            "1376 [D loss: 0.741018, acc.: 53.12%] [G loss: 0.824857]\n",
            "1377 [D loss: 0.783217, acc.: 46.88%] [G loss: 0.837828]\n",
            "1378 [D loss: 0.764071, acc.: 48.44%] [G loss: 0.830847]\n",
            "1379 [D loss: 0.731589, acc.: 51.56%] [G loss: 0.914768]\n",
            "1380 [D loss: 0.723074, acc.: 50.00%] [G loss: 0.923155]\n",
            "1381 [D loss: 0.717254, acc.: 46.88%] [G loss: 1.027241]\n",
            "1382 [D loss: 0.725160, acc.: 48.44%] [G loss: 0.924553]\n",
            "1383 [D loss: 0.630665, acc.: 70.31%] [G loss: 0.902547]\n",
            "1384 [D loss: 0.748629, acc.: 40.62%] [G loss: 0.899322]\n",
            "1385 [D loss: 0.719755, acc.: 50.00%] [G loss: 0.925118]\n",
            "1386 [D loss: 0.695770, acc.: 59.38%] [G loss: 0.867548]\n",
            "1387 [D loss: 0.768911, acc.: 50.00%] [G loss: 0.880668]\n",
            "1388 [D loss: 0.641887, acc.: 67.19%] [G loss: 0.877594]\n",
            "1389 [D loss: 0.668040, acc.: 62.50%] [G loss: 0.943215]\n",
            "1390 [D loss: 0.767707, acc.: 45.31%] [G loss: 0.816065]\n",
            "1391 [D loss: 0.676379, acc.: 51.56%] [G loss: 0.849566]\n",
            "1392 [D loss: 0.735611, acc.: 51.56%] [G loss: 1.015376]\n",
            "1393 [D loss: 0.728042, acc.: 45.31%] [G loss: 0.920692]\n",
            "1394 [D loss: 0.724674, acc.: 60.94%] [G loss: 0.811645]\n",
            "1395 [D loss: 0.717372, acc.: 50.00%] [G loss: 0.811664]\n",
            "1396 [D loss: 0.633788, acc.: 64.06%] [G loss: 0.913686]\n",
            "1397 [D loss: 0.711076, acc.: 46.88%] [G loss: 0.976554]\n",
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            "1399 [D loss: 0.777503, acc.: 48.44%] [G loss: 0.743929]\n",
            "1400 [D loss: 0.693092, acc.: 54.69%] [G loss: 0.879160]\n",
            "1401 [D loss: 0.751661, acc.: 50.00%] [G loss: 0.916469]\n",
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            "1403 [D loss: 0.712346, acc.: 51.56%] [G loss: 0.940298]\n",
            "1404 [D loss: 0.765862, acc.: 43.75%] [G loss: 0.949205]\n",
            "1405 [D loss: 0.794545, acc.: 40.62%] [G loss: 0.876989]\n",
            "1406 [D loss: 0.674807, acc.: 60.94%] [G loss: 0.817918]\n",
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            "1408 [D loss: 0.815428, acc.: 32.81%] [G loss: 0.913332]\n",
            "1409 [D loss: 0.767140, acc.: 50.00%] [G loss: 0.957308]\n",
            "1410 [D loss: 0.719961, acc.: 57.81%] [G loss: 0.933155]\n",
            "1411 [D loss: 0.760752, acc.: 40.62%] [G loss: 0.957607]\n",
            "1412 [D loss: 0.698154, acc.: 59.38%] [G loss: 0.889349]\n",
            "1413 [D loss: 0.765918, acc.: 43.75%] [G loss: 0.940070]\n",
            "1414 [D loss: 0.685088, acc.: 59.38%] [G loss: 0.837695]\n",
            "1415 [D loss: 0.723832, acc.: 54.69%] [G loss: 1.013425]\n",
            "1416 [D loss: 0.678275, acc.: 59.38%] [G loss: 0.808699]\n",
            "1417 [D loss: 0.746124, acc.: 46.88%] [G loss: 0.981967]\n",
            "1418 [D loss: 0.730732, acc.: 45.31%] [G loss: 0.825999]\n",
            "1419 [D loss: 0.691936, acc.: 54.69%] [G loss: 0.809072]\n",
            "1420 [D loss: 0.761416, acc.: 48.44%] [G loss: 0.835358]\n",
            "1421 [D loss: 0.778555, acc.: 45.31%] [G loss: 0.967306]\n",
            "1422 [D loss: 0.704318, acc.: 60.94%] [G loss: 0.884375]\n",
            "1423 [D loss: 0.674864, acc.: 64.06%] [G loss: 0.939706]\n",
            "1424 [D loss: 0.674575, acc.: 67.19%] [G loss: 0.874702]\n",
            "1425 [D loss: 0.655419, acc.: 57.81%] [G loss: 0.963990]\n",
            "1426 [D loss: 0.683684, acc.: 53.12%] [G loss: 0.840003]\n",
            "1427 [D loss: 0.638554, acc.: 60.94%] [G loss: 0.850335]\n",
            "1428 [D loss: 0.711690, acc.: 50.00%] [G loss: 0.930846]\n",
            "1429 [D loss: 0.743448, acc.: 46.88%] [G loss: 0.877723]\n",
            "1430 [D loss: 0.691778, acc.: 57.81%] [G loss: 0.893806]\n",
            "1431 [D loss: 0.751876, acc.: 40.62%] [G loss: 0.806607]\n",
            "1432 [D loss: 0.787088, acc.: 50.00%] [G loss: 0.925282]\n",
            "1433 [D loss: 0.808498, acc.: 34.38%] [G loss: 0.851344]\n",
            "1434 [D loss: 0.762461, acc.: 43.75%] [G loss: 0.874018]\n",
            "1435 [D loss: 0.684988, acc.: 60.94%] [G loss: 0.972375]\n",
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            "1437 [D loss: 0.753499, acc.: 46.88%] [G loss: 0.871385]\n",
            "1438 [D loss: 0.691508, acc.: 54.69%] [G loss: 1.027842]\n",
            "1439 [D loss: 0.715225, acc.: 53.12%] [G loss: 0.893375]\n",
            "1440 [D loss: 0.724662, acc.: 45.31%] [G loss: 0.891497]\n",
            "1441 [D loss: 0.823935, acc.: 43.75%] [G loss: 0.901588]\n",
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            "1443 [D loss: 0.778791, acc.: 48.44%] [G loss: 0.888670]\n",
            "1444 [D loss: 0.634766, acc.: 60.94%] [G loss: 0.915437]\n",
            "1445 [D loss: 0.714281, acc.: 53.12%] [G loss: 0.833956]\n",
            "1446 [D loss: 0.666836, acc.: 60.94%] [G loss: 0.824384]\n",
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            "1451 [D loss: 0.662323, acc.: 57.81%] [G loss: 1.016461]\n",
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            "1463 [D loss: 0.712709, acc.: 46.88%] [G loss: 0.881014]\n",
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            "1471 [D loss: 0.824083, acc.: 37.50%] [G loss: 0.922554]\n",
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            "1500 [D loss: 0.658067, acc.: 68.75%] [G loss: 0.959170]\n",
            "1501 [D loss: 0.754163, acc.: 42.19%] [G loss: 0.816942]\n",
            "1502 [D loss: 0.710885, acc.: 54.69%] [G loss: 0.891178]\n",
            "1503 [D loss: 0.733191, acc.: 57.81%] [G loss: 0.866627]\n",
            "1504 [D loss: 0.780548, acc.: 40.62%] [G loss: 0.945775]\n",
            "1505 [D loss: 0.675907, acc.: 59.38%] [G loss: 1.047384]\n",
            "1506 [D loss: 0.775630, acc.: 37.50%] [G loss: 0.824452]\n",
            "1507 [D loss: 0.715759, acc.: 51.56%] [G loss: 0.937516]\n",
            "1508 [D loss: 0.665581, acc.: 60.94%] [G loss: 0.973495]\n",
            "1509 [D loss: 0.706597, acc.: 51.56%] [G loss: 0.943084]\n",
            "1510 [D loss: 0.713481, acc.: 50.00%] [G loss: 0.833659]\n",
            "1511 [D loss: 0.727428, acc.: 48.44%] [G loss: 0.905985]\n",
            "1512 [D loss: 0.709941, acc.: 57.81%] [G loss: 0.851491]\n",
            "1513 [D loss: 0.727356, acc.: 56.25%] [G loss: 0.838749]\n",
            "1514 [D loss: 0.671415, acc.: 60.94%] [G loss: 0.903545]\n",
            "1515 [D loss: 0.734330, acc.: 50.00%] [G loss: 0.960947]\n",
            "1516 [D loss: 0.707423, acc.: 57.81%] [G loss: 0.920246]\n",
            "1517 [D loss: 0.681725, acc.: 59.38%] [G loss: 0.962156]\n",
            "1518 [D loss: 0.783666, acc.: 45.31%] [G loss: 0.914920]\n",
            "1519 [D loss: 0.765848, acc.: 45.31%] [G loss: 0.738603]\n",
            "1520 [D loss: 0.724759, acc.: 48.44%] [G loss: 0.865929]\n",
            "1521 [D loss: 0.667385, acc.: 56.25%] [G loss: 0.974832]\n",
            "1522 [D loss: 0.684261, acc.: 59.38%] [G loss: 1.030649]\n",
            "1523 [D loss: 0.711249, acc.: 57.81%] [G loss: 0.894699]\n",
            "1524 [D loss: 0.671389, acc.: 54.69%] [G loss: 0.883229]\n",
            "1525 [D loss: 0.774419, acc.: 45.31%] [G loss: 0.851767]\n",
            "1526 [D loss: 0.804633, acc.: 39.06%] [G loss: 0.989358]\n",
            "1527 [D loss: 0.689485, acc.: 53.12%] [G loss: 0.963095]\n",
            "1528 [D loss: 0.684700, acc.: 50.00%] [G loss: 0.929339]\n",
            "1529 [D loss: 0.755742, acc.: 57.81%] [G loss: 0.974409]\n",
            "1530 [D loss: 0.717393, acc.: 53.12%] [G loss: 0.831539]\n",
            "1531 [D loss: 0.680361, acc.: 56.25%] [G loss: 0.842097]\n",
            "1532 [D loss: 0.759205, acc.: 43.75%] [G loss: 0.817982]\n",
            "1533 [D loss: 0.714455, acc.: 53.12%] [G loss: 0.887356]\n",
            "1534 [D loss: 0.721749, acc.: 50.00%] [G loss: 0.908515]\n",
            "1535 [D loss: 0.711929, acc.: 57.81%] [G loss: 0.935334]\n",
            "1536 [D loss: 0.764404, acc.: 35.94%] [G loss: 0.858678]\n",
            "1537 [D loss: 0.719045, acc.: 51.56%] [G loss: 1.016581]\n",
            "1538 [D loss: 0.756036, acc.: 45.31%] [G loss: 0.918503]\n",
            "1539 [D loss: 0.755748, acc.: 48.44%] [G loss: 0.985899]\n",
            "1540 [D loss: 0.679680, acc.: 56.25%] [G loss: 0.998119]\n",
            "1541 [D loss: 0.737145, acc.: 50.00%] [G loss: 0.963050]\n",
            "1542 [D loss: 0.701613, acc.: 54.69%] [G loss: 1.104986]\n",
            "1543 [D loss: 0.717816, acc.: 53.12%] [G loss: 0.863319]\n",
            "1544 [D loss: 0.695507, acc.: 51.56%] [G loss: 0.927585]\n",
            "1545 [D loss: 0.758535, acc.: 46.88%] [G loss: 0.962563]\n",
            "1546 [D loss: 0.733100, acc.: 46.88%] [G loss: 0.924107]\n",
            "1547 [D loss: 0.714281, acc.: 48.44%] [G loss: 0.945858]\n",
            "1548 [D loss: 0.709783, acc.: 57.81%] [G loss: 0.829799]\n",
            "1549 [D loss: 0.657116, acc.: 59.38%] [G loss: 1.039088]\n",
            "1550 [D loss: 0.688487, acc.: 57.81%] [G loss: 0.830318]\n",
            "1551 [D loss: 0.692408, acc.: 54.69%] [G loss: 1.069094]\n",
            "1552 [D loss: 0.674604, acc.: 62.50%] [G loss: 0.816670]\n",
            "1553 [D loss: 0.656124, acc.: 64.06%] [G loss: 0.946578]\n",
            "1554 [D loss: 0.724698, acc.: 53.12%] [G loss: 0.866370]\n",
            "1555 [D loss: 0.678140, acc.: 56.25%] [G loss: 0.839614]\n",
            "1556 [D loss: 0.744855, acc.: 50.00%] [G loss: 0.915137]\n",
            "1557 [D loss: 0.653708, acc.: 57.81%] [G loss: 0.949958]\n",
            "1558 [D loss: 0.733075, acc.: 51.56%] [G loss: 0.889871]\n",
            "1559 [D loss: 0.657595, acc.: 57.81%] [G loss: 0.924738]\n",
            "1560 [D loss: 0.685083, acc.: 56.25%] [G loss: 0.894726]\n",
            "1561 [D loss: 0.729587, acc.: 48.44%] [G loss: 0.999819]\n",
            "1562 [D loss: 0.672479, acc.: 57.81%] [G loss: 0.825358]\n",
            "1563 [D loss: 0.718480, acc.: 48.44%] [G loss: 0.862071]\n",
            "1564 [D loss: 0.726581, acc.: 53.12%] [G loss: 0.895837]\n",
            "1565 [D loss: 0.733319, acc.: 51.56%] [G loss: 0.919925]\n",
            "1566 [D loss: 0.696864, acc.: 54.69%] [G loss: 0.915917]\n",
            "1567 [D loss: 0.647272, acc.: 62.50%] [G loss: 1.031780]\n",
            "1568 [D loss: 0.701031, acc.: 46.88%] [G loss: 0.916378]\n",
            "1569 [D loss: 0.629751, acc.: 60.94%] [G loss: 0.939510]\n",
            "1570 [D loss: 0.734860, acc.: 53.12%] [G loss: 0.809613]\n",
            "1571 [D loss: 0.670768, acc.: 57.81%] [G loss: 0.806931]\n",
            "1572 [D loss: 0.706981, acc.: 57.81%] [G loss: 0.776060]\n",
            "1573 [D loss: 0.689167, acc.: 57.81%] [G loss: 0.914397]\n",
            "1574 [D loss: 0.719583, acc.: 56.25%] [G loss: 0.931487]\n",
            "1575 [D loss: 0.738607, acc.: 53.12%] [G loss: 0.880314]\n",
            "1576 [D loss: 0.661908, acc.: 57.81%] [G loss: 0.959563]\n",
            "1577 [D loss: 0.641556, acc.: 53.12%] [G loss: 0.986456]\n",
            "1578 [D loss: 0.781948, acc.: 39.06%] [G loss: 1.039042]\n",
            "1579 [D loss: 0.689320, acc.: 51.56%] [G loss: 0.899680]\n",
            "1580 [D loss: 0.744282, acc.: 42.19%] [G loss: 0.840263]\n",
            "1581 [D loss: 0.749430, acc.: 50.00%] [G loss: 0.876284]\n",
            "1582 [D loss: 0.719479, acc.: 48.44%] [G loss: 0.919962]\n",
            "1583 [D loss: 0.700860, acc.: 50.00%] [G loss: 0.886395]\n",
            "1584 [D loss: 0.742417, acc.: 48.44%] [G loss: 0.909087]\n",
            "1585 [D loss: 0.690800, acc.: 60.94%] [G loss: 0.939338]\n",
            "1586 [D loss: 0.806755, acc.: 42.19%] [G loss: 0.842829]\n",
            "1587 [D loss: 0.726242, acc.: 48.44%] [G loss: 0.811522]\n",
            "1588 [D loss: 0.670960, acc.: 53.12%] [G loss: 0.881678]\n",
            "1589 [D loss: 0.603700, acc.: 67.19%] [G loss: 0.806018]\n",
            "1590 [D loss: 0.679897, acc.: 60.94%] [G loss: 0.927217]\n",
            "1591 [D loss: 0.653795, acc.: 68.75%] [G loss: 0.906940]\n",
            "1592 [D loss: 0.728870, acc.: 45.31%] [G loss: 0.790977]\n",
            "1593 [D loss: 0.672742, acc.: 59.38%] [G loss: 0.974389]\n",
            "1594 [D loss: 0.665591, acc.: 60.94%] [G loss: 0.928223]\n",
            "1595 [D loss: 0.751833, acc.: 43.75%] [G loss: 1.033656]\n",
            "1596 [D loss: 0.695238, acc.: 53.12%] [G loss: 0.844646]\n",
            "1597 [D loss: 0.725160, acc.: 50.00%] [G loss: 0.977904]\n",
            "1598 [D loss: 0.736594, acc.: 50.00%] [G loss: 0.941490]\n",
            "1599 [D loss: 0.727280, acc.: 53.12%] [G loss: 0.924127]\n",
            "1600 [D loss: 0.684966, acc.: 60.94%] [G loss: 0.893921]\n",
            "1601 [D loss: 0.711837, acc.: 50.00%] [G loss: 0.954944]\n",
            "1602 [D loss: 0.710457, acc.: 50.00%] [G loss: 0.881794]\n",
            "1603 [D loss: 0.749846, acc.: 42.19%] [G loss: 0.823796]\n",
            "1604 [D loss: 0.745094, acc.: 48.44%] [G loss: 0.879657]\n",
            "1605 [D loss: 0.758728, acc.: 40.62%] [G loss: 0.974028]\n",
            "1606 [D loss: 0.694392, acc.: 56.25%] [G loss: 0.886668]\n",
            "1607 [D loss: 0.764571, acc.: 45.31%] [G loss: 0.883711]\n",
            "1608 [D loss: 0.739114, acc.: 45.31%] [G loss: 0.881622]\n",
            "1609 [D loss: 0.723688, acc.: 57.81%] [G loss: 0.902619]\n",
            "1610 [D loss: 0.764537, acc.: 48.44%] [G loss: 0.869314]\n",
            "1611 [D loss: 0.682305, acc.: 56.25%] [G loss: 0.983415]\n",
            "1612 [D loss: 0.776447, acc.: 40.62%] [G loss: 0.902087]\n",
            "1613 [D loss: 0.697936, acc.: 48.44%] [G loss: 0.889742]\n",
            "1614 [D loss: 0.661507, acc.: 57.81%] [G loss: 0.991375]\n",
            "1615 [D loss: 0.713951, acc.: 54.69%] [G loss: 0.920862]\n",
            "1616 [D loss: 0.740144, acc.: 39.06%] [G loss: 0.917479]\n",
            "1617 [D loss: 0.722935, acc.: 46.88%] [G loss: 0.845890]\n",
            "1618 [D loss: 0.761489, acc.: 46.88%] [G loss: 0.862435]\n",
            "1619 [D loss: 0.675031, acc.: 60.94%] [G loss: 0.887383]\n",
            "1620 [D loss: 0.789017, acc.: 42.19%] [G loss: 0.908571]\n",
            "1621 [D loss: 0.729936, acc.: 50.00%] [G loss: 0.780966]\n",
            "1622 [D loss: 0.707138, acc.: 59.38%] [G loss: 0.837122]\n",
            "1623 [D loss: 0.730410, acc.: 53.12%] [G loss: 0.762742]\n",
            "1624 [D loss: 0.663689, acc.: 60.94%] [G loss: 0.908332]\n",
            "1625 [D loss: 0.747628, acc.: 43.75%] [G loss: 0.871865]\n",
            "1626 [D loss: 0.751175, acc.: 46.88%] [G loss: 0.925647]\n",
            "1627 [D loss: 0.757882, acc.: 42.19%] [G loss: 0.918922]\n",
            "1628 [D loss: 0.672880, acc.: 60.94%] [G loss: 1.050818]\n",
            "1629 [D loss: 0.706113, acc.: 59.38%] [G loss: 0.890212]\n",
            "1630 [D loss: 0.703384, acc.: 54.69%] [G loss: 0.890006]\n",
            "1631 [D loss: 0.749121, acc.: 50.00%] [G loss: 0.921352]\n",
            "1632 [D loss: 0.724402, acc.: 51.56%] [G loss: 0.867646]\n",
            "1633 [D loss: 0.675883, acc.: 54.69%] [G loss: 0.903962]\n",
            "1634 [D loss: 0.728190, acc.: 48.44%] [G loss: 0.899025]\n",
            "1635 [D loss: 0.693746, acc.: 54.69%] [G loss: 0.857339]\n",
            "1636 [D loss: 0.722231, acc.: 48.44%] [G loss: 0.878747]\n",
            "1637 [D loss: 0.672635, acc.: 53.12%] [G loss: 0.782850]\n",
            "1638 [D loss: 0.731625, acc.: 51.56%] [G loss: 1.059238]\n",
            "1639 [D loss: 0.716082, acc.: 51.56%] [G loss: 0.924530]\n",
            "1640 [D loss: 0.813040, acc.: 37.50%] [G loss: 0.897746]\n",
            "1641 [D loss: 0.767864, acc.: 46.88%] [G loss: 0.745625]\n",
            "1642 [D loss: 0.738066, acc.: 46.88%] [G loss: 0.965878]\n",
            "1643 [D loss: 0.661218, acc.: 56.25%] [G loss: 0.944431]\n",
            "1644 [D loss: 0.793922, acc.: 48.44%] [G loss: 0.901791]\n",
            "1645 [D loss: 0.719360, acc.: 46.88%] [G loss: 0.878077]\n",
            "1646 [D loss: 0.694569, acc.: 53.12%] [G loss: 0.868493]\n",
            "1647 [D loss: 0.702469, acc.: 54.69%] [G loss: 0.773666]\n",
            "1648 [D loss: 0.730736, acc.: 48.44%] [G loss: 0.858988]\n",
            "1649 [D loss: 0.673096, acc.: 53.12%] [G loss: 0.855047]\n",
            "1650 [D loss: 0.686241, acc.: 56.25%] [G loss: 0.822988]\n",
            "1651 [D loss: 0.736269, acc.: 50.00%] [G loss: 0.847718]\n",
            "1652 [D loss: 0.742298, acc.: 53.12%] [G loss: 0.925382]\n",
            "1653 [D loss: 0.729094, acc.: 48.44%] [G loss: 0.931347]\n",
            "1654 [D loss: 0.620921, acc.: 60.94%] [G loss: 1.010204]\n",
            "1655 [D loss: 0.721062, acc.: 50.00%] [G loss: 1.009906]\n",
            "1656 [D loss: 0.757587, acc.: 45.31%] [G loss: 0.869401]\n",
            "1657 [D loss: 0.699637, acc.: 51.56%] [G loss: 0.864758]\n",
            "1658 [D loss: 0.719704, acc.: 51.56%] [G loss: 0.940629]\n",
            "1659 [D loss: 0.709927, acc.: 48.44%] [G loss: 0.873122]\n",
            "1660 [D loss: 0.690577, acc.: 54.69%] [G loss: 0.884877]\n",
            "1661 [D loss: 0.675843, acc.: 57.81%] [G loss: 0.864984]\n",
            "1662 [D loss: 0.681163, acc.: 62.50%] [G loss: 0.892624]\n",
            "1663 [D loss: 0.693057, acc.: 48.44%] [G loss: 0.902328]\n",
            "1664 [D loss: 0.765256, acc.: 40.62%] [G loss: 0.909854]\n",
            "1665 [D loss: 0.675744, acc.: 54.69%] [G loss: 0.911513]\n",
            "1666 [D loss: 0.776149, acc.: 43.75%] [G loss: 0.852890]\n",
            "1667 [D loss: 0.697822, acc.: 51.56%] [G loss: 0.816941]\n",
            "1668 [D loss: 0.779548, acc.: 42.19%] [G loss: 0.876538]\n",
            "1669 [D loss: 0.733093, acc.: 46.88%] [G loss: 0.902246]\n",
            "1670 [D loss: 0.727405, acc.: 50.00%] [G loss: 0.870800]\n",
            "1671 [D loss: 0.752607, acc.: 40.62%] [G loss: 0.884091]\n",
            "1672 [D loss: 0.682004, acc.: 53.12%] [G loss: 0.899260]\n",
            "1673 [D loss: 0.746608, acc.: 46.88%] [G loss: 0.919931]\n",
            "1674 [D loss: 0.730141, acc.: 50.00%] [G loss: 0.895657]\n",
            "1675 [D loss: 0.718396, acc.: 48.44%] [G loss: 0.927664]\n",
            "1676 [D loss: 0.742895, acc.: 54.69%] [G loss: 0.894112]\n",
            "1677 [D loss: 0.637373, acc.: 60.94%] [G loss: 0.875867]\n",
            "1678 [D loss: 0.688564, acc.: 51.56%] [G loss: 0.854371]\n",
            "1679 [D loss: 0.764246, acc.: 40.62%] [G loss: 0.876599]\n",
            "1680 [D loss: 0.744623, acc.: 45.31%] [G loss: 0.851502]\n",
            "1681 [D loss: 0.682068, acc.: 56.25%] [G loss: 0.913903]\n",
            "1682 [D loss: 0.732238, acc.: 46.88%] [G loss: 0.795150]\n",
            "1683 [D loss: 0.713143, acc.: 56.25%] [G loss: 0.962166]\n",
            "1684 [D loss: 0.604772, acc.: 68.75%] [G loss: 0.993295]\n",
            "1685 [D loss: 0.787639, acc.: 43.75%] [G loss: 0.866653]\n",
            "1686 [D loss: 0.645146, acc.: 65.62%] [G loss: 1.019358]\n",
            "1687 [D loss: 0.729762, acc.: 50.00%] [G loss: 0.952210]\n",
            "1688 [D loss: 0.666618, acc.: 64.06%] [G loss: 0.887741]\n",
            "1689 [D loss: 0.751742, acc.: 53.12%] [G loss: 0.841500]\n",
            "1690 [D loss: 0.680438, acc.: 56.25%] [G loss: 0.858489]\n",
            "1691 [D loss: 0.754710, acc.: 45.31%] [G loss: 0.870970]\n",
            "1692 [D loss: 0.728374, acc.: 46.88%] [G loss: 0.884717]\n",
            "1693 [D loss: 0.730397, acc.: 46.88%] [G loss: 0.958391]\n",
            "1694 [D loss: 0.814770, acc.: 35.94%] [G loss: 1.026534]\n",
            "1695 [D loss: 0.661528, acc.: 60.94%] [G loss: 0.923418]\n",
            "1696 [D loss: 0.647859, acc.: 56.25%] [G loss: 0.912220]\n",
            "1697 [D loss: 0.661314, acc.: 56.25%] [G loss: 1.012027]\n",
            "1698 [D loss: 0.683397, acc.: 51.56%] [G loss: 0.956306]\n",
            "1699 [D loss: 0.649776, acc.: 56.25%] [G loss: 0.892595]\n",
            "1700 [D loss: 0.718170, acc.: 48.44%] [G loss: 0.913930]\n",
            "1701 [D loss: 0.742948, acc.: 45.31%] [G loss: 0.892283]\n",
            "1702 [D loss: 0.713431, acc.: 60.94%] [G loss: 0.895326]\n",
            "1703 [D loss: 0.713946, acc.: 45.31%] [G loss: 0.828578]\n",
            "1704 [D loss: 0.716481, acc.: 48.44%] [G loss: 0.780124]\n",
            "1705 [D loss: 0.697482, acc.: 50.00%] [G loss: 0.930560]\n",
            "1706 [D loss: 0.643478, acc.: 64.06%] [G loss: 0.774060]\n",
            "1707 [D loss: 0.732311, acc.: 48.44%] [G loss: 0.774929]\n",
            "1708 [D loss: 0.681684, acc.: 57.81%] [G loss: 0.929820]\n",
            "1709 [D loss: 0.658107, acc.: 64.06%] [G loss: 1.027177]\n",
            "1710 [D loss: 0.704809, acc.: 56.25%] [G loss: 0.930993]\n",
            "1711 [D loss: 0.642307, acc.: 60.94%] [G loss: 0.861099]\n",
            "1712 [D loss: 0.752355, acc.: 48.44%] [G loss: 0.935127]\n",
            "1713 [D loss: 0.818123, acc.: 37.50%] [G loss: 0.898964]\n",
            "1714 [D loss: 0.781536, acc.: 43.75%] [G loss: 0.822791]\n",
            "1715 [D loss: 0.715442, acc.: 43.75%] [G loss: 0.912325]\n",
            "1716 [D loss: 0.693534, acc.: 57.81%] [G loss: 0.862639]\n",
            "1717 [D loss: 0.725244, acc.: 53.12%] [G loss: 0.908540]\n",
            "1718 [D loss: 0.698776, acc.: 51.56%] [G loss: 0.887052]\n",
            "1719 [D loss: 0.706882, acc.: 51.56%] [G loss: 0.842732]\n",
            "1720 [D loss: 0.682125, acc.: 62.50%] [G loss: 0.902155]\n",
            "1721 [D loss: 0.715958, acc.: 46.88%] [G loss: 0.943614]\n",
            "1722 [D loss: 0.767491, acc.: 40.62%] [G loss: 0.850095]\n",
            "1723 [D loss: 0.729962, acc.: 60.94%] [G loss: 0.920436]\n",
            "1724 [D loss: 0.740123, acc.: 53.12%] [G loss: 0.907742]\n",
            "1725 [D loss: 0.657843, acc.: 62.50%] [G loss: 0.858837]\n",
            "1726 [D loss: 0.687914, acc.: 54.69%] [G loss: 0.954071]\n",
            "1727 [D loss: 0.748945, acc.: 48.44%] [G loss: 0.827173]\n",
            "1728 [D loss: 0.749162, acc.: 50.00%] [G loss: 0.899506]\n",
            "1729 [D loss: 0.715383, acc.: 50.00%] [G loss: 0.867404]\n",
            "1730 [D loss: 0.740584, acc.: 48.44%] [G loss: 0.804613]\n",
            "1731 [D loss: 0.730011, acc.: 51.56%] [G loss: 0.905165]\n",
            "1732 [D loss: 0.667772, acc.: 59.38%] [G loss: 0.798441]\n",
            "1733 [D loss: 0.745368, acc.: 46.88%] [G loss: 0.882244]\n",
            "1734 [D loss: 0.685027, acc.: 60.94%] [G loss: 0.901369]\n",
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            "1736 [D loss: 0.734518, acc.: 51.56%] [G loss: 1.013692]\n",
            "1737 [D loss: 0.771347, acc.: 45.31%] [G loss: 0.924065]\n",
            "1738 [D loss: 0.664637, acc.: 53.12%] [G loss: 0.876974]\n",
            "1739 [D loss: 0.632124, acc.: 68.75%] [G loss: 1.086447]\n",
            "1740 [D loss: 0.738479, acc.: 48.44%] [G loss: 1.012718]\n",
            "1741 [D loss: 0.647114, acc.: 62.50%] [G loss: 1.003406]\n",
            "1742 [D loss: 0.735048, acc.: 48.44%] [G loss: 0.898939]\n",
            "1743 [D loss: 0.669256, acc.: 57.81%] [G loss: 0.874777]\n",
            "1744 [D loss: 0.703557, acc.: 53.12%] [G loss: 0.918878]\n",
            "1745 [D loss: 0.757204, acc.: 51.56%] [G loss: 0.852041]\n",
            "1746 [D loss: 0.737758, acc.: 50.00%] [G loss: 0.892678]\n",
            "1747 [D loss: 0.761508, acc.: 48.44%] [G loss: 0.930014]\n",
            "1748 [D loss: 0.714303, acc.: 56.25%] [G loss: 0.986623]\n",
            "1749 [D loss: 0.747172, acc.: 45.31%] [G loss: 0.942882]\n",
            "1750 [D loss: 0.643913, acc.: 67.19%] [G loss: 0.821681]\n",
            "1751 [D loss: 0.670889, acc.: 62.50%] [G loss: 0.928245]\n",
            "1752 [D loss: 0.745614, acc.: 53.12%] [G loss: 0.899202]\n",
            "1753 [D loss: 0.746205, acc.: 43.75%] [G loss: 0.858950]\n",
            "1754 [D loss: 0.657204, acc.: 62.50%] [G loss: 0.959436]\n",
            "1755 [D loss: 0.670873, acc.: 57.81%] [G loss: 0.899338]\n",
            "1756 [D loss: 0.657447, acc.: 59.38%] [G loss: 0.961745]\n",
            "1757 [D loss: 0.683846, acc.: 56.25%] [G loss: 0.939823]\n",
            "1758 [D loss: 0.681579, acc.: 57.81%] [G loss: 1.033359]\n",
            "1759 [D loss: 0.626094, acc.: 62.50%] [G loss: 0.873054]\n",
            "1760 [D loss: 0.697155, acc.: 56.25%] [G loss: 0.912805]\n",
            "1761 [D loss: 0.674431, acc.: 50.00%] [G loss: 0.877646]\n",
            "1762 [D loss: 0.665188, acc.: 53.12%] [G loss: 0.845554]\n",
            "1763 [D loss: 0.725051, acc.: 51.56%] [G loss: 0.928853]\n",
            "1764 [D loss: 0.739699, acc.: 45.31%] [G loss: 0.889648]\n",
            "1765 [D loss: 0.777090, acc.: 46.88%] [G loss: 0.871046]\n",
            "1766 [D loss: 0.695305, acc.: 62.50%] [G loss: 0.987305]\n",
            "1767 [D loss: 0.789364, acc.: 48.44%] [G loss: 0.934974]\n",
            "1768 [D loss: 0.746128, acc.: 45.31%] [G loss: 0.837985]\n",
            "1769 [D loss: 0.684401, acc.: 56.25%] [G loss: 0.950547]\n",
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            "1771 [D loss: 0.707990, acc.: 50.00%] [G loss: 0.894384]\n",
            "1772 [D loss: 0.697557, acc.: 51.56%] [G loss: 0.919635]\n",
            "1773 [D loss: 0.686957, acc.: 59.38%] [G loss: 0.921754]\n",
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            "1775 [D loss: 0.734901, acc.: 53.12%] [G loss: 1.053504]\n",
            "1776 [D loss: 0.649303, acc.: 65.62%] [G loss: 0.901673]\n",
            "1777 [D loss: 0.723866, acc.: 50.00%] [G loss: 0.997508]\n",
            "1778 [D loss: 0.740545, acc.: 51.56%] [G loss: 0.866440]\n",
            "1779 [D loss: 0.786808, acc.: 45.31%] [G loss: 0.854941]\n",
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            "1781 [D loss: 0.597298, acc.: 75.00%] [G loss: 0.861430]\n",
            "1782 [D loss: 0.659295, acc.: 65.62%] [G loss: 0.935193]\n",
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            "1784 [D loss: 0.718808, acc.: 51.56%] [G loss: 0.758474]\n",
            "1785 [D loss: 0.647934, acc.: 64.06%] [G loss: 0.951256]\n",
            "1786 [D loss: 0.714255, acc.: 51.56%] [G loss: 0.963746]\n",
            "1787 [D loss: 0.693378, acc.: 54.69%] [G loss: 0.857409]\n",
            "1788 [D loss: 0.732041, acc.: 51.56%] [G loss: 0.873307]\n",
            "1789 [D loss: 0.717602, acc.: 53.12%] [G loss: 0.868209]\n",
            "1790 [D loss: 0.666055, acc.: 64.06%] [G loss: 0.923637]\n",
            "1791 [D loss: 0.654170, acc.: 60.94%] [G loss: 0.937623]\n",
            "1792 [D loss: 0.827630, acc.: 40.62%] [G loss: 0.826976]\n",
            "1793 [D loss: 0.734610, acc.: 48.44%] [G loss: 0.954921]\n",
            "1794 [D loss: 0.717023, acc.: 45.31%] [G loss: 0.883032]\n",
            "1795 [D loss: 0.638118, acc.: 65.62%] [G loss: 0.874651]\n",
            "1796 [D loss: 0.724157, acc.: 50.00%] [G loss: 0.997945]\n",
            "1797 [D loss: 0.747602, acc.: 40.62%] [G loss: 0.947421]\n",
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            "1800 [D loss: 0.723767, acc.: 50.00%] [G loss: 0.889258]\n",
            "1801 [D loss: 0.772896, acc.: 48.44%] [G loss: 0.851085]\n",
            "1802 [D loss: 0.799212, acc.: 34.38%] [G loss: 0.979264]\n",
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            "1810 [D loss: 0.680036, acc.: 54.69%] [G loss: 0.844466]\n",
            "1811 [D loss: 0.596310, acc.: 73.44%] [G loss: 0.969903]\n",
            "1812 [D loss: 0.627847, acc.: 57.81%] [G loss: 0.986198]\n",
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            "1815 [D loss: 0.626906, acc.: 64.06%] [G loss: 0.886284]\n",
            "1816 [D loss: 0.764505, acc.: 35.94%] [G loss: 0.940542]\n",
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            "1819 [D loss: 0.748378, acc.: 42.19%] [G loss: 0.955651]\n",
            "1820 [D loss: 0.768839, acc.: 45.31%] [G loss: 0.909017]\n",
            "1821 [D loss: 0.764067, acc.: 50.00%] [G loss: 0.934068]\n",
            "1822 [D loss: 0.790062, acc.: 50.00%] [G loss: 0.781413]\n",
            "1823 [D loss: 0.696313, acc.: 56.25%] [G loss: 0.902641]\n",
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            "1825 [D loss: 0.729067, acc.: 53.12%] [G loss: 0.990209]\n",
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            "1827 [D loss: 0.768297, acc.: 43.75%] [G loss: 0.806635]\n",
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            "1829 [D loss: 0.634127, acc.: 67.19%] [G loss: 1.017084]\n",
            "1830 [D loss: 0.731500, acc.: 56.25%] [G loss: 0.926911]\n",
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            "1834 [D loss: 0.699875, acc.: 51.56%] [G loss: 0.874724]\n",
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            "1837 [D loss: 0.727258, acc.: 45.31%] [G loss: 0.903736]\n",
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            "1853 [D loss: 0.620140, acc.: 68.75%] [G loss: 1.044266]\n",
            "1854 [D loss: 0.703584, acc.: 56.25%] [G loss: 0.973411]\n",
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            "1856 [D loss: 0.727278, acc.: 53.12%] [G loss: 0.894718]\n",
            "1857 [D loss: 0.756374, acc.: 42.19%] [G loss: 0.843025]\n",
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            "1867 [D loss: 0.609559, acc.: 68.75%] [G loss: 1.072418]\n",
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            "1900 [D loss: 0.763022, acc.: 46.88%] [G loss: 0.860617]\n",
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            "1911 [D loss: 0.716577, acc.: 56.25%] [G loss: 0.842896]\n",
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            "1915 [D loss: 0.659548, acc.: 67.19%] [G loss: 0.932586]\n",
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            "1918 [D loss: 0.687606, acc.: 48.44%] [G loss: 0.915951]\n",
            "1919 [D loss: 0.710184, acc.: 46.88%] [G loss: 0.858823]\n",
            "1920 [D loss: 0.677372, acc.: 60.94%] [G loss: 1.001097]\n",
            "1921 [D loss: 0.708753, acc.: 51.56%] [G loss: 0.967511]\n",
            "1922 [D loss: 0.668622, acc.: 62.50%] [G loss: 0.940070]\n",
            "1923 [D loss: 0.705887, acc.: 53.12%] [G loss: 0.862002]\n",
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            "1930 [D loss: 0.748204, acc.: 45.31%] [G loss: 0.943840]\n",
            "1931 [D loss: 0.821460, acc.: 40.62%] [G loss: 0.806824]\n",
            "1932 [D loss: 0.697912, acc.: 68.75%] [G loss: 0.747611]\n",
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            "1935 [D loss: 0.635778, acc.: 59.38%] [G loss: 1.084512]\n",
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            "1940 [D loss: 0.772478, acc.: 48.44%] [G loss: 0.912671]\n",
            "1941 [D loss: 0.671308, acc.: 53.12%] [G loss: 0.838944]\n",
            "1942 [D loss: 0.734619, acc.: 50.00%] [G loss: 0.915921]\n",
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            "1946 [D loss: 0.652894, acc.: 54.69%] [G loss: 0.876501]\n",
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            "1951 [D loss: 0.633523, acc.: 67.19%] [G loss: 0.887649]\n",
            "1952 [D loss: 0.630641, acc.: 65.62%] [G loss: 0.929706]\n",
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            "1955 [D loss: 0.678968, acc.: 57.81%] [G loss: 0.928541]\n",
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            "1970 [D loss: 0.729004, acc.: 46.88%] [G loss: 0.849003]\n",
            "1971 [D loss: 0.656967, acc.: 64.06%] [G loss: 0.904784]\n",
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            "1973 [D loss: 0.623694, acc.: 60.94%] [G loss: 0.964046]\n",
            "1974 [D loss: 0.724784, acc.: 48.44%] [G loss: 0.961323]\n",
            "1975 [D loss: 0.676573, acc.: 56.25%] [G loss: 0.895624]\n",
            "1976 [D loss: 0.744154, acc.: 54.69%] [G loss: 0.906080]\n",
            "1977 [D loss: 0.692976, acc.: 59.38%] [G loss: 0.985536]\n",
            "1978 [D loss: 0.645536, acc.: 68.75%] [G loss: 0.917591]\n",
            "1979 [D loss: 0.672386, acc.: 62.50%] [G loss: 0.923125]\n",
            "1980 [D loss: 0.669105, acc.: 57.81%] [G loss: 0.949565]\n",
            "1981 [D loss: 0.762073, acc.: 48.44%] [G loss: 0.933740]\n",
            "1982 [D loss: 0.771821, acc.: 51.56%] [G loss: 0.840707]\n",
            "1983 [D loss: 0.709431, acc.: 53.12%] [G loss: 0.827007]\n",
            "1984 [D loss: 0.725860, acc.: 45.31%] [G loss: 0.918475]\n",
            "1985 [D loss: 0.714604, acc.: 54.69%] [G loss: 0.874044]\n",
            "1986 [D loss: 0.644954, acc.: 70.31%] [G loss: 1.039582]\n",
            "1987 [D loss: 0.623334, acc.: 67.19%] [G loss: 0.854563]\n",
            "1988 [D loss: 0.813533, acc.: 35.94%] [G loss: 0.901491]\n",
            "1989 [D loss: 0.720625, acc.: 51.56%] [G loss: 0.927428]\n",
            "1990 [D loss: 0.667210, acc.: 56.25%] [G loss: 1.006388]\n",
            "1991 [D loss: 0.732006, acc.: 54.69%] [G loss: 0.927486]\n",
            "1992 [D loss: 0.758491, acc.: 42.19%] [G loss: 0.893625]\n",
            "1993 [D loss: 0.741810, acc.: 45.31%] [G loss: 0.894463]\n",
            "1994 [D loss: 0.662661, acc.: 67.19%] [G loss: 0.935198]\n",
            "1995 [D loss: 0.717962, acc.: 53.12%] [G loss: 0.868388]\n",
            "1996 [D loss: 0.772166, acc.: 45.31%] [G loss: 0.846949]\n",
            "1997 [D loss: 0.764926, acc.: 50.00%] [G loss: 0.730938]\n",
            "1998 [D loss: 0.715454, acc.: 48.44%] [G loss: 0.876670]\n",
            "1999 [D loss: 0.738745, acc.: 50.00%] [G loss: 0.950330]\n",
            "2000 [D loss: 0.674233, acc.: 56.25%] [G loss: 1.079665]\n",
            "2001 [D loss: 0.742629, acc.: 46.88%] [G loss: 0.873057]\n",
            "2002 [D loss: 0.726654, acc.: 50.00%] [G loss: 0.923786]\n",
            "2003 [D loss: 0.641891, acc.: 67.19%] [G loss: 0.795410]\n",
            "2004 [D loss: 0.721407, acc.: 57.81%] [G loss: 0.923406]\n",
            "2005 [D loss: 0.676898, acc.: 60.94%] [G loss: 0.908282]\n",
            "2006 [D loss: 0.770491, acc.: 42.19%] [G loss: 0.871359]\n",
            "2007 [D loss: 0.719504, acc.: 53.12%] [G loss: 0.953320]\n",
            "2008 [D loss: 0.659685, acc.: 59.38%] [G loss: 0.958523]\n",
            "2009 [D loss: 0.755886, acc.: 46.88%] [G loss: 0.889960]\n",
            "2010 [D loss: 0.786700, acc.: 46.88%] [G loss: 0.890746]\n",
            "2011 [D loss: 0.680772, acc.: 65.62%] [G loss: 0.853354]\n",
            "2012 [D loss: 0.697323, acc.: 64.06%] [G loss: 0.895370]\n",
            "2013 [D loss: 0.746161, acc.: 42.19%] [G loss: 0.936788]\n",
            "2014 [D loss: 0.687191, acc.: 54.69%] [G loss: 0.850027]\n",
            "2015 [D loss: 0.643144, acc.: 62.50%] [G loss: 0.874342]\n",
            "2016 [D loss: 0.668407, acc.: 57.81%] [G loss: 0.984709]\n",
            "2017 [D loss: 0.768601, acc.: 42.19%] [G loss: 0.875900]\n",
            "2018 [D loss: 0.695649, acc.: 56.25%] [G loss: 0.908525]\n",
            "2019 [D loss: 0.706637, acc.: 53.12%] [G loss: 0.871042]\n",
            "2020 [D loss: 0.665953, acc.: 57.81%] [G loss: 0.864189]\n",
            "2021 [D loss: 0.677054, acc.: 57.81%] [G loss: 0.971776]\n",
            "2022 [D loss: 0.651352, acc.: 65.62%] [G loss: 0.961166]\n",
            "2023 [D loss: 0.631703, acc.: 62.50%] [G loss: 0.985715]\n",
            "2024 [D loss: 0.751216, acc.: 50.00%] [G loss: 0.818910]\n",
            "2025 [D loss: 0.757428, acc.: 45.31%] [G loss: 0.908603]\n",
            "2026 [D loss: 0.766649, acc.: 40.62%] [G loss: 0.989619]\n",
            "2027 [D loss: 0.723765, acc.: 46.88%] [G loss: 0.919175]\n",
            "2028 [D loss: 0.726834, acc.: 53.12%] [G loss: 0.823192]\n",
            "2029 [D loss: 0.701378, acc.: 56.25%] [G loss: 0.978679]\n",
            "2030 [D loss: 0.640851, acc.: 65.62%] [G loss: 0.972370]\n",
            "2031 [D loss: 0.689219, acc.: 64.06%] [G loss: 0.946909]\n",
            "2032 [D loss: 0.650278, acc.: 62.50%] [G loss: 0.972182]\n",
            "2033 [D loss: 0.667264, acc.: 67.19%] [G loss: 1.128775]\n",
            "2034 [D loss: 0.691837, acc.: 60.94%] [G loss: 0.946946]\n",
            "2035 [D loss: 0.628561, acc.: 60.94%] [G loss: 0.891858]\n",
            "2036 [D loss: 0.717900, acc.: 48.44%] [G loss: 0.863273]\n",
            "2037 [D loss: 0.712081, acc.: 54.69%] [G loss: 0.973098]\n",
            "2038 [D loss: 0.649069, acc.: 62.50%] [G loss: 1.000692]\n",
            "2039 [D loss: 0.715472, acc.: 51.56%] [G loss: 0.973540]\n",
            "2040 [D loss: 0.690472, acc.: 56.25%] [G loss: 0.829280]\n",
            "2041 [D loss: 0.705121, acc.: 53.12%] [G loss: 0.933563]\n",
            "2042 [D loss: 0.722548, acc.: 53.12%] [G loss: 0.865426]\n",
            "2043 [D loss: 0.757721, acc.: 51.56%] [G loss: 0.971286]\n",
            "2044 [D loss: 0.726078, acc.: 53.12%] [G loss: 0.977873]\n",
            "2045 [D loss: 0.723568, acc.: 54.69%] [G loss: 0.839690]\n",
            "2046 [D loss: 0.690798, acc.: 57.81%] [G loss: 0.855999]\n",
            "2047 [D loss: 0.708486, acc.: 50.00%] [G loss: 0.966431]\n",
            "2048 [D loss: 0.613913, acc.: 70.31%] [G loss: 0.876860]\n",
            "2049 [D loss: 0.703473, acc.: 51.56%] [G loss: 1.014964]\n",
            "2050 [D loss: 0.595053, acc.: 71.88%] [G loss: 1.050258]\n",
            "2051 [D loss: 0.708772, acc.: 62.50%] [G loss: 1.016291]\n",
            "2052 [D loss: 0.761378, acc.: 50.00%] [G loss: 0.922098]\n",
            "2053 [D loss: 0.688579, acc.: 56.25%] [G loss: 0.879035]\n",
            "2054 [D loss: 0.673690, acc.: 68.75%] [G loss: 1.031641]\n",
            "2055 [D loss: 0.702410, acc.: 51.56%] [G loss: 0.994110]\n",
            "2056 [D loss: 0.679489, acc.: 56.25%] [G loss: 0.910633]\n",
            "2057 [D loss: 0.680463, acc.: 54.69%] [G loss: 0.870881]\n",
            "2058 [D loss: 0.670398, acc.: 60.94%] [G loss: 0.806351]\n",
            "2059 [D loss: 0.733370, acc.: 53.12%] [G loss: 0.855708]\n",
            "2060 [D loss: 0.725777, acc.: 51.56%] [G loss: 0.878444]\n",
            "2061 [D loss: 0.699392, acc.: 50.00%] [G loss: 0.949166]\n",
            "2062 [D loss: 0.707701, acc.: 51.56%] [G loss: 0.947203]\n",
            "2063 [D loss: 0.644173, acc.: 60.94%] [G loss: 0.854058]\n",
            "2064 [D loss: 0.735339, acc.: 51.56%] [G loss: 1.045114]\n",
            "2065 [D loss: 0.711769, acc.: 53.12%] [G loss: 0.891688]\n",
            "2066 [D loss: 0.653982, acc.: 59.38%] [G loss: 1.024493]\n",
            "2067 [D loss: 0.732707, acc.: 50.00%] [G loss: 0.930815]\n",
            "2068 [D loss: 0.724501, acc.: 56.25%] [G loss: 0.935453]\n",
            "2069 [D loss: 0.664629, acc.: 54.69%] [G loss: 1.073107]\n",
            "2070 [D loss: 0.693117, acc.: 53.12%] [G loss: 0.921762]\n",
            "2071 [D loss: 0.710043, acc.: 51.56%] [G loss: 0.978908]\n",
            "2072 [D loss: 0.684078, acc.: 56.25%] [G loss: 0.952321]\n",
            "2073 [D loss: 0.683781, acc.: 57.81%] [G loss: 0.987852]\n",
            "2074 [D loss: 0.658365, acc.: 59.38%] [G loss: 0.897645]\n",
            "2075 [D loss: 0.711606, acc.: 50.00%] [G loss: 1.043196]\n",
            "2076 [D loss: 0.686512, acc.: 54.69%] [G loss: 1.009228]\n",
            "2077 [D loss: 0.744606, acc.: 53.12%] [G loss: 0.897899]\n",
            "2078 [D loss: 0.689575, acc.: 53.12%] [G loss: 1.067285]\n",
            "2079 [D loss: 0.713880, acc.: 53.12%] [G loss: 0.902468]\n",
            "2080 [D loss: 0.664681, acc.: 62.50%] [G loss: 0.895252]\n",
            "2081 [D loss: 0.650448, acc.: 62.50%] [G loss: 1.028162]\n",
            "2082 [D loss: 0.634726, acc.: 64.06%] [G loss: 0.962476]\n",
            "2083 [D loss: 0.639801, acc.: 59.38%] [G loss: 1.003410]\n",
            "2084 [D loss: 0.662413, acc.: 60.94%] [G loss: 0.945191]\n",
            "2085 [D loss: 0.715810, acc.: 54.69%] [G loss: 1.030721]\n",
            "2086 [D loss: 0.704791, acc.: 56.25%] [G loss: 0.909689]\n",
            "2087 [D loss: 0.722150, acc.: 50.00%] [G loss: 0.922967]\n",
            "2088 [D loss: 0.683548, acc.: 59.38%] [G loss: 0.942594]\n",
            "2089 [D loss: 0.756156, acc.: 42.19%] [G loss: 1.030178]\n",
            "2090 [D loss: 0.725623, acc.: 54.69%] [G loss: 0.967255]\n",
            "2091 [D loss: 0.660400, acc.: 54.69%] [G loss: 0.913023]\n",
            "2092 [D loss: 0.741321, acc.: 54.69%] [G loss: 0.937623]\n",
            "2093 [D loss: 0.699859, acc.: 54.69%] [G loss: 0.843428]\n",
            "2094 [D loss: 0.758057, acc.: 50.00%] [G loss: 0.814771]\n",
            "2095 [D loss: 0.712072, acc.: 50.00%] [G loss: 0.821648]\n",
            "2096 [D loss: 0.733427, acc.: 54.69%] [G loss: 0.869665]\n",
            "2097 [D loss: 0.659647, acc.: 64.06%] [G loss: 1.016084]\n",
            "2098 [D loss: 0.701338, acc.: 57.81%] [G loss: 0.985708]\n",
            "2099 [D loss: 0.718956, acc.: 56.25%] [G loss: 0.923227]\n",
            "2100 [D loss: 0.776448, acc.: 39.06%] [G loss: 0.873010]\n",
            "2101 [D loss: 0.678544, acc.: 59.38%] [G loss: 0.825938]\n",
            "2102 [D loss: 0.675231, acc.: 59.38%] [G loss: 1.004279]\n",
            "2103 [D loss: 0.643553, acc.: 65.62%] [G loss: 0.932065]\n",
            "2104 [D loss: 0.689749, acc.: 56.25%] [G loss: 0.981023]\n",
            "2105 [D loss: 0.713620, acc.: 62.50%] [G loss: 0.847878]\n",
            "2106 [D loss: 0.782096, acc.: 50.00%] [G loss: 0.939201]\n",
            "2107 [D loss: 0.686168, acc.: 59.38%] [G loss: 0.928200]\n",
            "2108 [D loss: 0.624708, acc.: 62.50%] [G loss: 0.974411]\n",
            "2109 [D loss: 0.686869, acc.: 53.12%] [G loss: 1.006827]\n",
            "2110 [D loss: 0.619315, acc.: 62.50%] [G loss: 0.921813]\n",
            "2111 [D loss: 0.765955, acc.: 43.75%] [G loss: 0.929857]\n",
            "2112 [D loss: 0.634055, acc.: 62.50%] [G loss: 0.894280]\n",
            "2113 [D loss: 0.762253, acc.: 42.19%] [G loss: 0.969364]\n",
            "2114 [D loss: 0.668358, acc.: 56.25%] [G loss: 0.795479]\n",
            "2115 [D loss: 0.707522, acc.: 51.56%] [G loss: 0.884676]\n",
            "2116 [D loss: 0.675232, acc.: 56.25%] [G loss: 0.912413]\n",
            "2117 [D loss: 0.672739, acc.: 54.69%] [G loss: 0.950974]\n",
            "2118 [D loss: 0.703037, acc.: 42.19%] [G loss: 0.955659]\n",
            "2119 [D loss: 0.746467, acc.: 43.75%] [G loss: 0.958481]\n",
            "2120 [D loss: 0.664034, acc.: 54.69%] [G loss: 0.957292]\n",
            "2121 [D loss: 0.632852, acc.: 67.19%] [G loss: 0.983625]\n",
            "2122 [D loss: 0.759428, acc.: 48.44%] [G loss: 0.890923]\n",
            "2123 [D loss: 0.656745, acc.: 59.38%] [G loss: 0.954447]\n",
            "2124 [D loss: 0.728725, acc.: 53.12%] [G loss: 0.788213]\n",
            "2125 [D loss: 0.717845, acc.: 48.44%] [G loss: 0.915253]\n",
            "2126 [D loss: 0.767685, acc.: 42.19%] [G loss: 0.851418]\n",
            "2127 [D loss: 0.696970, acc.: 59.38%] [G loss: 0.851769]\n",
            "2128 [D loss: 0.628059, acc.: 60.94%] [G loss: 0.878098]\n",
            "2129 [D loss: 0.684732, acc.: 59.38%] [G loss: 0.980696]\n",
            "2130 [D loss: 0.694741, acc.: 56.25%] [G loss: 1.083535]\n",
            "2131 [D loss: 0.695600, acc.: 51.56%] [G loss: 1.018487]\n",
            "2132 [D loss: 0.662116, acc.: 54.69%] [G loss: 1.052391]\n",
            "2133 [D loss: 0.765330, acc.: 45.31%] [G loss: 0.840163]\n",
            "2134 [D loss: 0.673416, acc.: 57.81%] [G loss: 0.981423]\n",
            "2135 [D loss: 0.712797, acc.: 50.00%] [G loss: 0.938738]\n",
            "2136 [D loss: 0.726240, acc.: 56.25%] [G loss: 0.811054]\n",
            "2137 [D loss: 0.651681, acc.: 59.38%] [G loss: 0.904714]\n",
            "2138 [D loss: 0.731830, acc.: 50.00%] [G loss: 0.947960]\n",
            "2139 [D loss: 0.696532, acc.: 54.69%] [G loss: 0.877646]\n",
            "2140 [D loss: 0.680245, acc.: 54.69%] [G loss: 0.915893]\n",
            "2141 [D loss: 0.612634, acc.: 76.56%] [G loss: 1.002436]\n",
            "2142 [D loss: 0.747648, acc.: 45.31%] [G loss: 0.878860]\n",
            "2143 [D loss: 0.695266, acc.: 54.69%] [G loss: 0.969810]\n",
            "2144 [D loss: 0.733283, acc.: 46.88%] [G loss: 0.999693]\n",
            "2145 [D loss: 0.674854, acc.: 54.69%] [G loss: 1.027786]\n",
            "2146 [D loss: 0.596923, acc.: 67.19%] [G loss: 0.963134]\n",
            "2147 [D loss: 0.690244, acc.: 62.50%] [G loss: 0.878388]\n",
            "2148 [D loss: 0.679721, acc.: 59.38%] [G loss: 0.955686]\n",
            "2149 [D loss: 0.663629, acc.: 56.25%] [G loss: 0.960032]\n",
            "2150 [D loss: 0.682020, acc.: 56.25%] [G loss: 0.866606]\n",
            "2151 [D loss: 0.734924, acc.: 40.62%] [G loss: 0.856653]\n",
            "2152 [D loss: 0.707911, acc.: 53.12%] [G loss: 0.794711]\n",
            "2153 [D loss: 0.681010, acc.: 59.38%] [G loss: 0.966310]\n",
            "2154 [D loss: 0.755609, acc.: 40.62%] [G loss: 0.912732]\n",
            "2155 [D loss: 0.710167, acc.: 50.00%] [G loss: 0.963655]\n",
            "2156 [D loss: 0.664853, acc.: 59.38%] [G loss: 0.890984]\n",
            "2157 [D loss: 0.651587, acc.: 59.38%] [G loss: 0.896320]\n",
            "2158 [D loss: 0.683904, acc.: 62.50%] [G loss: 0.978333]\n",
            "2159 [D loss: 0.670502, acc.: 57.81%] [G loss: 0.969173]\n",
            "2160 [D loss: 0.727990, acc.: 46.88%] [G loss: 0.852475]\n",
            "2161 [D loss: 0.701552, acc.: 56.25%] [G loss: 0.893665]\n",
            "2162 [D loss: 0.773596, acc.: 42.19%] [G loss: 0.956592]\n",
            "2163 [D loss: 0.676310, acc.: 57.81%] [G loss: 0.992837]\n",
            "2164 [D loss: 0.683230, acc.: 56.25%] [G loss: 0.791812]\n",
            "2165 [D loss: 0.689495, acc.: 54.69%] [G loss: 0.875783]\n",
            "2166 [D loss: 0.650625, acc.: 65.62%] [G loss: 0.846551]\n",
            "2167 [D loss: 0.720118, acc.: 48.44%] [G loss: 0.888160]\n",
            "2168 [D loss: 0.597417, acc.: 68.75%] [G loss: 0.923783]\n",
            "2169 [D loss: 0.699173, acc.: 51.56%] [G loss: 0.932882]\n",
            "2170 [D loss: 0.657670, acc.: 57.81%] [G loss: 1.043700]\n",
            "2171 [D loss: 0.657493, acc.: 64.06%] [G loss: 0.925808]\n",
            "2172 [D loss: 0.679641, acc.: 60.94%] [G loss: 0.886155]\n",
            "2173 [D loss: 0.684281, acc.: 60.94%] [G loss: 0.931035]\n",
            "2174 [D loss: 0.704403, acc.: 62.50%] [G loss: 1.069202]\n",
            "2175 [D loss: 0.670128, acc.: 65.62%] [G loss: 0.969393]\n",
            "2176 [D loss: 0.733459, acc.: 45.31%] [G loss: 0.989200]\n",
            "2177 [D loss: 0.766767, acc.: 45.31%] [G loss: 0.954922]\n",
            "2178 [D loss: 0.668365, acc.: 65.62%] [G loss: 0.975698]\n",
            "2179 [D loss: 0.737011, acc.: 53.12%] [G loss: 1.065111]\n",
            "2180 [D loss: 0.702203, acc.: 60.94%] [G loss: 1.010415]\n",
            "2181 [D loss: 0.677763, acc.: 59.38%] [G loss: 0.863857]\n",
            "2182 [D loss: 0.648108, acc.: 62.50%] [G loss: 0.898570]\n",
            "2183 [D loss: 0.645544, acc.: 62.50%] [G loss: 0.976997]\n",
            "2184 [D loss: 0.665722, acc.: 62.50%] [G loss: 0.928598]\n",
            "2185 [D loss: 0.663816, acc.: 60.94%] [G loss: 0.886680]\n",
            "2186 [D loss: 0.635123, acc.: 67.19%] [G loss: 1.054770]\n",
            "2187 [D loss: 0.753494, acc.: 48.44%] [G loss: 0.870997]\n",
            "2188 [D loss: 0.711776, acc.: 51.56%] [G loss: 0.864785]\n",
            "2189 [D loss: 0.640199, acc.: 54.69%] [G loss: 0.951962]\n",
            "2190 [D loss: 0.728312, acc.: 51.56%] [G loss: 0.818304]\n",
            "2191 [D loss: 0.689677, acc.: 54.69%] [G loss: 0.915138]\n",
            "2192 [D loss: 0.756334, acc.: 43.75%] [G loss: 0.875064]\n",
            "2193 [D loss: 0.639574, acc.: 59.38%] [G loss: 0.885951]\n",
            "2194 [D loss: 0.725025, acc.: 48.44%] [G loss: 0.970877]\n",
            "2195 [D loss: 0.673019, acc.: 57.81%] [G loss: 0.953018]\n",
            "2196 [D loss: 0.746962, acc.: 48.44%] [G loss: 0.972423]\n",
            "2197 [D loss: 0.650329, acc.: 62.50%] [G loss: 0.987350]\n",
            "2198 [D loss: 0.594158, acc.: 76.56%] [G loss: 0.942936]\n",
            "2199 [D loss: 0.697320, acc.: 59.38%] [G loss: 0.895326]\n",
            "2200 [D loss: 0.620042, acc.: 67.19%] [G loss: 0.956255]\n",
            "2201 [D loss: 0.720490, acc.: 51.56%] [G loss: 0.985143]\n",
            "2202 [D loss: 0.687889, acc.: 59.38%] [G loss: 1.028740]\n",
            "2203 [D loss: 0.682642, acc.: 53.12%] [G loss: 0.972890]\n",
            "2204 [D loss: 0.731961, acc.: 54.69%] [G loss: 0.935314]\n",
            "2205 [D loss: 0.665748, acc.: 56.25%] [G loss: 0.983972]\n",
            "2206 [D loss: 0.712817, acc.: 50.00%] [G loss: 0.901888]\n",
            "2207 [D loss: 0.685939, acc.: 56.25%] [G loss: 0.985075]\n",
            "2208 [D loss: 0.745781, acc.: 48.44%] [G loss: 0.858239]\n",
            "2209 [D loss: 0.660562, acc.: 64.06%] [G loss: 0.907977]\n",
            "2210 [D loss: 0.715664, acc.: 57.81%] [G loss: 0.981124]\n",
            "2211 [D loss: 0.668133, acc.: 59.38%] [G loss: 1.089029]\n",
            "2212 [D loss: 0.673857, acc.: 60.94%] [G loss: 1.024872]\n",
            "2213 [D loss: 0.619719, acc.: 70.31%] [G loss: 0.972643]\n",
            "2214 [D loss: 0.662279, acc.: 62.50%] [G loss: 0.876461]\n",
            "2215 [D loss: 0.669081, acc.: 56.25%] [G loss: 0.950382]\n",
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            "2217 [D loss: 0.724114, acc.: 50.00%] [G loss: 0.963939]\n",
            "2218 [D loss: 0.696517, acc.: 54.69%] [G loss: 0.915766]\n",
            "2219 [D loss: 0.672657, acc.: 62.50%] [G loss: 0.921313]\n",
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            "2221 [D loss: 0.656207, acc.: 60.94%] [G loss: 0.928485]\n",
            "2222 [D loss: 0.658314, acc.: 64.06%] [G loss: 1.119254]\n",
            "2223 [D loss: 0.648561, acc.: 57.81%] [G loss: 0.938017]\n",
            "2224 [D loss: 0.677095, acc.: 51.56%] [G loss: 0.817220]\n",
            "2225 [D loss: 0.722940, acc.: 54.69%] [G loss: 0.876723]\n",
            "2226 [D loss: 0.692612, acc.: 51.56%] [G loss: 1.041072]\n",
            "2227 [D loss: 0.707471, acc.: 57.81%] [G loss: 0.851841]\n",
            "2228 [D loss: 0.685794, acc.: 51.56%] [G loss: 0.950865]\n",
            "2229 [D loss: 0.693216, acc.: 53.12%] [G loss: 0.907838]\n",
            "2230 [D loss: 0.746486, acc.: 48.44%] [G loss: 0.818783]\n",
            "2231 [D loss: 0.657645, acc.: 59.38%] [G loss: 0.961033]\n",
            "2232 [D loss: 0.603685, acc.: 62.50%] [G loss: 1.021867]\n",
            "2233 [D loss: 0.754501, acc.: 45.31%] [G loss: 1.084853]\n",
            "2234 [D loss: 0.728953, acc.: 59.38%] [G loss: 1.033877]\n",
            "2235 [D loss: 0.707253, acc.: 54.69%] [G loss: 0.936978]\n",
            "2236 [D loss: 0.696083, acc.: 46.88%] [G loss: 0.862393]\n",
            "2237 [D loss: 0.731036, acc.: 40.62%] [G loss: 0.856593]\n",
            "2238 [D loss: 0.736412, acc.: 45.31%] [G loss: 0.807889]\n",
            "2239 [D loss: 0.626872, acc.: 59.38%] [G loss: 1.055131]\n",
            "2240 [D loss: 0.687315, acc.: 59.38%] [G loss: 0.987157]\n",
            "2241 [D loss: 0.656121, acc.: 70.31%] [G loss: 0.906562]\n",
            "2242 [D loss: 0.734461, acc.: 46.88%] [G loss: 0.918018]\n",
            "2243 [D loss: 0.709731, acc.: 51.56%] [G loss: 0.996527]\n",
            "2244 [D loss: 0.706951, acc.: 45.31%] [G loss: 0.877889]\n",
            "2245 [D loss: 0.742776, acc.: 45.31%] [G loss: 0.893579]\n",
            "2246 [D loss: 0.619739, acc.: 65.62%] [G loss: 0.941335]\n",
            "2247 [D loss: 0.650185, acc.: 70.31%] [G loss: 1.022763]\n",
            "2248 [D loss: 0.604710, acc.: 75.00%] [G loss: 1.101715]\n",
            "2249 [D loss: 0.567061, acc.: 71.88%] [G loss: 0.967809]\n",
            "2250 [D loss: 0.753505, acc.: 40.62%] [G loss: 0.829639]\n",
            "2251 [D loss: 0.707774, acc.: 50.00%] [G loss: 0.902498]\n",
            "2252 [D loss: 0.676692, acc.: 60.94%] [G loss: 0.971774]\n",
            "2253 [D loss: 0.658184, acc.: 64.06%] [G loss: 1.045583]\n",
            "2254 [D loss: 0.804607, acc.: 46.88%] [G loss: 0.981599]\n",
            "2255 [D loss: 0.728327, acc.: 46.88%] [G loss: 0.819562]\n",
            "2256 [D loss: 0.659768, acc.: 57.81%] [G loss: 0.961613]\n",
            "2257 [D loss: 0.695873, acc.: 56.25%] [G loss: 0.857398]\n",
            "2258 [D loss: 0.728642, acc.: 50.00%] [G loss: 0.818980]\n",
            "2259 [D loss: 0.683306, acc.: 51.56%] [G loss: 0.839827]\n",
            "2260 [D loss: 0.640621, acc.: 64.06%] [G loss: 0.990240]\n",
            "2261 [D loss: 0.656770, acc.: 64.06%] [G loss: 0.951181]\n",
            "2262 [D loss: 0.698371, acc.: 50.00%] [G loss: 0.982176]\n",
            "2263 [D loss: 0.688275, acc.: 56.25%] [G loss: 0.987029]\n",
            "2264 [D loss: 0.675060, acc.: 53.12%] [G loss: 1.013269]\n",
            "2265 [D loss: 0.713266, acc.: 54.69%] [G loss: 0.999639]\n",
            "2266 [D loss: 0.645266, acc.: 64.06%] [G loss: 1.066548]\n",
            "2267 [D loss: 0.664803, acc.: 51.56%] [G loss: 0.951391]\n",
            "2268 [D loss: 0.655387, acc.: 59.38%] [G loss: 1.046415]\n",
            "2269 [D loss: 0.792001, acc.: 46.88%] [G loss: 0.823352]\n",
            "2270 [D loss: 0.705653, acc.: 51.56%] [G loss: 0.911644]\n",
            "2271 [D loss: 0.775925, acc.: 39.06%] [G loss: 0.884617]\n",
            "2272 [D loss: 0.708698, acc.: 59.38%] [G loss: 0.863269]\n",
            "2273 [D loss: 0.594254, acc.: 71.88%] [G loss: 1.019946]\n",
            "2274 [D loss: 0.668588, acc.: 59.38%] [G loss: 0.901530]\n",
            "2275 [D loss: 0.719311, acc.: 54.69%] [G loss: 0.939271]\n",
            "2276 [D loss: 0.697105, acc.: 54.69%] [G loss: 0.901629]\n",
            "2277 [D loss: 0.656926, acc.: 60.94%] [G loss: 0.961494]\n",
            "2278 [D loss: 0.630443, acc.: 68.75%] [G loss: 1.008452]\n",
            "2279 [D loss: 0.726374, acc.: 48.44%] [G loss: 0.938228]\n",
            "2280 [D loss: 0.695582, acc.: 53.12%] [G loss: 1.068861]\n",
            "2281 [D loss: 0.727614, acc.: 45.31%] [G loss: 0.788328]\n",
            "2282 [D loss: 0.685240, acc.: 60.94%] [G loss: 0.921491]\n",
            "2283 [D loss: 0.653539, acc.: 60.94%] [G loss: 0.978527]\n",
            "2284 [D loss: 0.739013, acc.: 43.75%] [G loss: 1.078638]\n",
            "2285 [D loss: 0.780920, acc.: 46.88%] [G loss: 0.870206]\n",
            "2286 [D loss: 0.696141, acc.: 53.12%] [G loss: 1.129620]\n",
            "2287 [D loss: 0.701810, acc.: 51.56%] [G loss: 0.895730]\n",
            "2288 [D loss: 0.729131, acc.: 42.19%] [G loss: 0.862714]\n",
            "2289 [D loss: 0.695669, acc.: 60.94%] [G loss: 0.842467]\n",
            "2290 [D loss: 0.636722, acc.: 59.38%] [G loss: 0.900144]\n",
            "2291 [D loss: 0.690001, acc.: 56.25%] [G loss: 0.875120]\n",
            "2292 [D loss: 0.685596, acc.: 54.69%] [G loss: 0.863481]\n",
            "2293 [D loss: 0.702204, acc.: 50.00%] [G loss: 0.899465]\n",
            "2294 [D loss: 0.678134, acc.: 57.81%] [G loss: 1.054601]\n",
            "2295 [D loss: 0.680589, acc.: 57.81%] [G loss: 0.887789]\n",
            "2296 [D loss: 0.719513, acc.: 50.00%] [G loss: 0.893210]\n",
            "2297 [D loss: 0.718613, acc.: 57.81%] [G loss: 0.797339]\n",
            "2298 [D loss: 0.702573, acc.: 54.69%] [G loss: 0.882555]\n",
            "2299 [D loss: 0.727466, acc.: 45.31%] [G loss: 0.925515]\n",
            "2300 [D loss: 0.687681, acc.: 54.69%] [G loss: 0.947072]\n",
            "2301 [D loss: 0.668953, acc.: 53.12%] [G loss: 0.906878]\n",
            "2302 [D loss: 0.648746, acc.: 64.06%] [G loss: 0.883290]\n",
            "2303 [D loss: 0.694796, acc.: 43.75%] [G loss: 0.973499]\n",
            "2304 [D loss: 0.712116, acc.: 50.00%] [G loss: 0.923679]\n",
            "2305 [D loss: 0.734191, acc.: 51.56%] [G loss: 0.886977]\n",
            "2306 [D loss: 0.756362, acc.: 45.31%] [G loss: 0.849156]\n",
            "2307 [D loss: 0.683030, acc.: 57.81%] [G loss: 0.868372]\n",
            "2308 [D loss: 0.686771, acc.: 51.56%] [G loss: 1.002645]\n",
            "2309 [D loss: 0.676092, acc.: 56.25%] [G loss: 0.972715]\n",
            "2310 [D loss: 0.674452, acc.: 54.69%] [G loss: 0.996271]\n",
            "2311 [D loss: 0.692615, acc.: 56.25%] [G loss: 0.923923]\n",
            "2312 [D loss: 0.698675, acc.: 57.81%] [G loss: 0.856439]\n",
            "2313 [D loss: 0.698667, acc.: 56.25%] [G loss: 0.810686]\n",
            "2314 [D loss: 0.743232, acc.: 45.31%] [G loss: 0.866361]\n",
            "2315 [D loss: 0.684421, acc.: 57.81%] [G loss: 0.752803]\n",
            "2316 [D loss: 0.608463, acc.: 65.62%] [G loss: 0.977796]\n",
            "2317 [D loss: 0.687373, acc.: 53.12%] [G loss: 0.837346]\n",
            "2318 [D loss: 0.744777, acc.: 54.69%] [G loss: 0.907549]\n",
            "2319 [D loss: 0.707716, acc.: 48.44%] [G loss: 0.934600]\n",
            "2320 [D loss: 0.616948, acc.: 67.19%] [G loss: 1.005486]\n",
            "2321 [D loss: 0.678778, acc.: 54.69%] [G loss: 0.865349]\n",
            "2322 [D loss: 0.654150, acc.: 62.50%] [G loss: 1.024585]\n",
            "2323 [D loss: 0.751837, acc.: 53.12%] [G loss: 0.997237]\n",
            "2324 [D loss: 0.639064, acc.: 68.75%] [G loss: 0.805207]\n",
            "2325 [D loss: 0.646987, acc.: 59.38%] [G loss: 0.966681]\n",
            "2326 [D loss: 0.649239, acc.: 68.75%] [G loss: 0.773823]\n",
            "2327 [D loss: 0.700010, acc.: 57.81%] [G loss: 0.843543]\n",
            "2328 [D loss: 0.706472, acc.: 50.00%] [G loss: 1.013271]\n",
            "2329 [D loss: 0.760540, acc.: 48.44%] [G loss: 0.902757]\n",
            "2330 [D loss: 0.634912, acc.: 64.06%] [G loss: 0.915817]\n",
            "2331 [D loss: 0.680392, acc.: 57.81%] [G loss: 0.931723]\n",
            "2332 [D loss: 0.652894, acc.: 65.62%] [G loss: 0.966117]\n",
            "2333 [D loss: 0.676529, acc.: 59.38%] [G loss: 0.943228]\n",
            "2334 [D loss: 0.697244, acc.: 54.69%] [G loss: 0.907461]\n",
            "2335 [D loss: 0.655728, acc.: 59.38%] [G loss: 0.992956]\n",
            "2336 [D loss: 0.740847, acc.: 48.44%] [G loss: 0.900549]\n",
            "2337 [D loss: 0.712814, acc.: 62.50%] [G loss: 0.881221]\n",
            "2338 [D loss: 0.647454, acc.: 67.19%] [G loss: 0.873092]\n",
            "2339 [D loss: 0.688542, acc.: 57.81%] [G loss: 0.917736]\n",
            "2340 [D loss: 0.764389, acc.: 40.62%] [G loss: 0.900615]\n",
            "2341 [D loss: 0.648921, acc.: 64.06%] [G loss: 0.849765]\n",
            "2342 [D loss: 0.768903, acc.: 45.31%] [G loss: 1.010113]\n",
            "2343 [D loss: 0.760227, acc.: 43.75%] [G loss: 1.065685]\n",
            "2344 [D loss: 0.687816, acc.: 59.38%] [G loss: 1.007714]\n",
            "2345 [D loss: 0.696813, acc.: 57.81%] [G loss: 0.876694]\n",
            "2346 [D loss: 0.679649, acc.: 60.94%] [G loss: 1.002700]\n",
            "2347 [D loss: 0.685500, acc.: 54.69%] [G loss: 0.945046]\n",
            "2348 [D loss: 0.744740, acc.: 45.31%] [G loss: 0.924348]\n",
            "2349 [D loss: 0.659067, acc.: 67.19%] [G loss: 0.880080]\n",
            "2350 [D loss: 0.702537, acc.: 51.56%] [G loss: 0.889042]\n",
            "2351 [D loss: 0.710219, acc.: 51.56%] [G loss: 0.911624]\n",
            "2352 [D loss: 0.732906, acc.: 53.12%] [G loss: 0.908816]\n",
            "2353 [D loss: 0.719681, acc.: 50.00%] [G loss: 0.855857]\n",
            "2354 [D loss: 0.701846, acc.: 48.44%] [G loss: 0.963938]\n",
            "2355 [D loss: 0.691377, acc.: 56.25%] [G loss: 0.879259]\n",
            "2356 [D loss: 0.678038, acc.: 57.81%] [G loss: 0.907703]\n",
            "2357 [D loss: 0.820364, acc.: 43.75%] [G loss: 0.716048]\n",
            "2358 [D loss: 0.732498, acc.: 53.12%] [G loss: 0.886137]\n",
            "2359 [D loss: 0.703557, acc.: 53.12%] [G loss: 0.822682]\n",
            "2360 [D loss: 0.657668, acc.: 60.94%] [G loss: 1.068899]\n",
            "2361 [D loss: 0.688721, acc.: 54.69%] [G loss: 0.906238]\n",
            "2362 [D loss: 0.606914, acc.: 71.88%] [G loss: 1.053674]\n",
            "2363 [D loss: 0.716147, acc.: 51.56%] [G loss: 0.885276]\n",
            "2364 [D loss: 0.598720, acc.: 71.88%] [G loss: 1.008193]\n",
            "2365 [D loss: 0.769337, acc.: 46.88%] [G loss: 0.796393]\n",
            "2366 [D loss: 0.631178, acc.: 59.38%] [G loss: 0.956611]\n",
            "2367 [D loss: 0.707576, acc.: 54.69%] [G loss: 0.898677]\n",
            "2368 [D loss: 0.636824, acc.: 67.19%] [G loss: 1.092651]\n",
            "2369 [D loss: 0.795413, acc.: 34.38%] [G loss: 0.842231]\n",
            "2370 [D loss: 0.783475, acc.: 42.19%] [G loss: 0.944979]\n",
            "2371 [D loss: 0.705116, acc.: 50.00%] [G loss: 0.893517]\n",
            "2372 [D loss: 0.699277, acc.: 59.38%] [G loss: 1.003078]\n",
            "2373 [D loss: 0.722198, acc.: 53.12%] [G loss: 0.954886]\n",
            "2374 [D loss: 0.651412, acc.: 60.94%] [G loss: 1.001542]\n",
            "2375 [D loss: 0.699602, acc.: 56.25%] [G loss: 0.918952]\n",
            "2376 [D loss: 0.722484, acc.: 45.31%] [G loss: 0.975857]\n",
            "2377 [D loss: 0.670863, acc.: 59.38%] [G loss: 0.847737]\n",
            "2378 [D loss: 0.721802, acc.: 51.56%] [G loss: 0.882029]\n",
            "2379 [D loss: 0.669041, acc.: 57.81%] [G loss: 0.977597]\n",
            "2380 [D loss: 0.727061, acc.: 51.56%] [G loss: 0.965894]\n",
            "2381 [D loss: 0.718272, acc.: 54.69%] [G loss: 0.916962]\n",
            "2382 [D loss: 0.641866, acc.: 57.81%] [G loss: 1.098552]\n",
            "2383 [D loss: 0.661962, acc.: 59.38%] [G loss: 0.912897]\n",
            "2384 [D loss: 0.784804, acc.: 42.19%] [G loss: 0.873713]\n",
            "2385 [D loss: 0.676975, acc.: 60.94%] [G loss: 0.923717]\n",
            "2386 [D loss: 0.816795, acc.: 42.19%] [G loss: 0.757000]\n",
            "2387 [D loss: 0.697421, acc.: 51.56%] [G loss: 0.862462]\n",
            "2388 [D loss: 0.768089, acc.: 45.31%] [G loss: 0.826136]\n",
            "2389 [D loss: 0.684733, acc.: 60.94%] [G loss: 0.822283]\n",
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            "2391 [D loss: 0.599249, acc.: 70.31%] [G loss: 0.880388]\n",
            "2392 [D loss: 0.720348, acc.: 50.00%] [G loss: 0.926258]\n",
            "2393 [D loss: 0.684696, acc.: 53.12%] [G loss: 0.969170]\n",
            "2394 [D loss: 0.705572, acc.: 56.25%] [G loss: 0.974192]\n",
            "2395 [D loss: 0.750954, acc.: 50.00%] [G loss: 0.887995]\n",
            "2396 [D loss: 0.688379, acc.: 56.25%] [G loss: 0.846874]\n",
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            "2398 [D loss: 0.641840, acc.: 62.50%] [G loss: 0.861070]\n",
            "2399 [D loss: 0.671822, acc.: 59.38%] [G loss: 1.027979]\n",
            "2400 [D loss: 0.696136, acc.: 54.69%] [G loss: 0.990116]\n",
            "2401 [D loss: 0.626673, acc.: 68.75%] [G loss: 0.925678]\n",
            "2402 [D loss: 0.701555, acc.: 56.25%] [G loss: 0.931223]\n",
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            "2408 [D loss: 0.691102, acc.: 46.88%] [G loss: 0.939963]\n",
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            "2410 [D loss: 0.651825, acc.: 71.88%] [G loss: 1.087225]\n",
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            "2413 [D loss: 0.753223, acc.: 46.88%] [G loss: 0.974905]\n",
            "2414 [D loss: 0.658605, acc.: 62.50%] [G loss: 1.001721]\n",
            "2415 [D loss: 0.717763, acc.: 50.00%] [G loss: 0.924647]\n",
            "2416 [D loss: 0.680329, acc.: 54.69%] [G loss: 1.018852]\n",
            "2417 [D loss: 0.614170, acc.: 65.62%] [G loss: 0.957528]\n",
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            "2421 [D loss: 0.775701, acc.: 40.62%] [G loss: 0.812580]\n",
            "2422 [D loss: 0.712139, acc.: 45.31%] [G loss: 0.890915]\n",
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            "2424 [D loss: 0.581827, acc.: 70.31%] [G loss: 0.967105]\n",
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            "2426 [D loss: 0.698904, acc.: 48.44%] [G loss: 0.861823]\n",
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            "2432 [D loss: 0.667414, acc.: 50.00%] [G loss: 0.882249]\n",
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            "2447 [D loss: 0.789589, acc.: 37.50%] [G loss: 0.892850]\n",
            "2448 [D loss: 0.630041, acc.: 67.19%] [G loss: 0.931373]\n",
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            "2450 [D loss: 0.746991, acc.: 51.56%] [G loss: 0.869206]\n",
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            "2453 [D loss: 0.659567, acc.: 57.81%] [G loss: 1.036236]\n",
            "2454 [D loss: 0.676622, acc.: 56.25%] [G loss: 0.990986]\n",
            "2455 [D loss: 0.657632, acc.: 64.06%] [G loss: 0.905941]\n",
            "2456 [D loss: 0.790732, acc.: 40.62%] [G loss: 0.837666]\n",
            "2457 [D loss: 0.663580, acc.: 64.06%] [G loss: 0.954142]\n",
            "2458 [D loss: 0.704132, acc.: 53.12%] [G loss: 1.005364]\n",
            "2459 [D loss: 0.565036, acc.: 75.00%] [G loss: 1.021255]\n",
            "2460 [D loss: 0.713318, acc.: 48.44%] [G loss: 0.885702]\n",
            "2461 [D loss: 0.708249, acc.: 59.38%] [G loss: 0.915257]\n",
            "2462 [D loss: 0.719614, acc.: 50.00%] [G loss: 0.820154]\n",
            "2463 [D loss: 0.692835, acc.: 65.62%] [G loss: 0.986264]\n",
            "2464 [D loss: 0.662896, acc.: 56.25%] [G loss: 1.106444]\n",
            "2465 [D loss: 0.693884, acc.: 51.56%] [G loss: 0.916185]\n",
            "2466 [D loss: 0.635022, acc.: 62.50%] [G loss: 0.973147]\n",
            "2467 [D loss: 0.620947, acc.: 71.88%] [G loss: 0.970840]\n",
            "2468 [D loss: 0.619945, acc.: 68.75%] [G loss: 1.029925]\n",
            "2469 [D loss: 0.735136, acc.: 50.00%] [G loss: 0.858629]\n",
            "2470 [D loss: 0.658590, acc.: 59.38%] [G loss: 0.913643]\n",
            "2471 [D loss: 0.654990, acc.: 60.94%] [G loss: 0.936869]\n",
            "2472 [D loss: 0.624056, acc.: 64.06%] [G loss: 0.973291]\n",
            "2473 [D loss: 0.658727, acc.: 62.50%] [G loss: 1.003608]\n",
            "2474 [D loss: 0.666476, acc.: 60.94%] [G loss: 0.899039]\n",
            "2475 [D loss: 0.660873, acc.: 59.38%] [G loss: 1.045319]\n",
            "2476 [D loss: 0.701663, acc.: 51.56%] [G loss: 0.848578]\n",
            "2477 [D loss: 0.768689, acc.: 50.00%] [G loss: 0.860502]\n",
            "2478 [D loss: 0.612712, acc.: 65.62%] [G loss: 0.967970]\n",
            "2479 [D loss: 0.734932, acc.: 46.88%] [G loss: 0.872206]\n",
            "2480 [D loss: 0.687670, acc.: 53.12%] [G loss: 0.851537]\n",
            "2481 [D loss: 0.686524, acc.: 57.81%] [G loss: 0.836225]\n",
            "2482 [D loss: 0.737065, acc.: 54.69%] [G loss: 1.042013]\n",
            "2483 [D loss: 0.660802, acc.: 64.06%] [G loss: 1.007690]\n",
            "2484 [D loss: 0.693429, acc.: 51.56%] [G loss: 0.957489]\n",
            "2485 [D loss: 0.665931, acc.: 59.38%] [G loss: 0.906485]\n",
            "2486 [D loss: 0.661866, acc.: 54.69%] [G loss: 0.919631]\n",
            "2487 [D loss: 0.661291, acc.: 64.06%] [G loss: 0.824106]\n",
            "2488 [D loss: 0.680843, acc.: 54.69%] [G loss: 0.807041]\n",
            "2489 [D loss: 0.668417, acc.: 60.94%] [G loss: 0.960902]\n",
            "2490 [D loss: 0.669510, acc.: 56.25%] [G loss: 1.028507]\n",
            "2491 [D loss: 0.668078, acc.: 56.25%] [G loss: 1.011047]\n",
            "2492 [D loss: 0.705626, acc.: 51.56%] [G loss: 1.007385]\n",
            "2493 [D loss: 0.654286, acc.: 60.94%] [G loss: 1.024666]\n",
            "2494 [D loss: 0.647579, acc.: 67.19%] [G loss: 1.081976]\n",
            "2495 [D loss: 0.691827, acc.: 56.25%] [G loss: 0.814910]\n",
            "2496 [D loss: 0.664084, acc.: 62.50%] [G loss: 0.899225]\n",
            "2497 [D loss: 0.733136, acc.: 46.88%] [G loss: 0.914289]\n",
            "2498 [D loss: 0.698977, acc.: 48.44%] [G loss: 0.990798]\n",
            "2499 [D loss: 0.734636, acc.: 43.75%] [G loss: 0.982037]\n",
            "2500 [D loss: 0.671749, acc.: 60.94%] [G loss: 0.893274]\n",
            "2501 [D loss: 0.655969, acc.: 56.25%] [G loss: 0.858712]\n",
            "2502 [D loss: 0.703320, acc.: 48.44%] [G loss: 0.934759]\n",
            "2503 [D loss: 0.713414, acc.: 51.56%] [G loss: 0.903668]\n",
            "2504 [D loss: 0.668755, acc.: 64.06%] [G loss: 0.947984]\n",
            "2505 [D loss: 0.718856, acc.: 53.12%] [G loss: 0.905299]\n",
            "2506 [D loss: 0.663131, acc.: 60.94%] [G loss: 0.935255]\n",
            "2507 [D loss: 0.601119, acc.: 75.00%] [G loss: 0.982690]\n",
            "2508 [D loss: 0.719546, acc.: 56.25%] [G loss: 1.008072]\n",
            "2509 [D loss: 0.640215, acc.: 60.94%] [G loss: 0.900342]\n",
            "2510 [D loss: 0.651809, acc.: 67.19%] [G loss: 0.997701]\n",
            "2511 [D loss: 0.683915, acc.: 57.81%] [G loss: 0.853829]\n",
            "2512 [D loss: 0.624866, acc.: 64.06%] [G loss: 0.986869]\n",
            "2513 [D loss: 0.637433, acc.: 64.06%] [G loss: 0.960672]\n",
            "2514 [D loss: 0.698182, acc.: 50.00%] [G loss: 0.961494]\n",
            "2515 [D loss: 0.697896, acc.: 54.69%] [G loss: 0.829024]\n",
            "2516 [D loss: 0.720313, acc.: 57.81%] [G loss: 0.893207]\n",
            "2517 [D loss: 0.592582, acc.: 75.00%] [G loss: 0.996687]\n",
            "2518 [D loss: 0.660825, acc.: 62.50%] [G loss: 0.898041]\n",
            "2519 [D loss: 0.789426, acc.: 48.44%] [G loss: 0.867128]\n",
            "2520 [D loss: 0.686987, acc.: 51.56%] [G loss: 0.895123]\n",
            "2521 [D loss: 0.715652, acc.: 59.38%] [G loss: 0.831083]\n",
            "2522 [D loss: 0.626803, acc.: 62.50%] [G loss: 0.886468]\n",
            "2523 [D loss: 0.664532, acc.: 60.94%] [G loss: 0.940060]\n",
            "2524 [D loss: 0.663736, acc.: 62.50%] [G loss: 0.898061]\n",
            "2525 [D loss: 0.670498, acc.: 65.62%] [G loss: 0.979554]\n",
            "2526 [D loss: 0.689430, acc.: 54.69%] [G loss: 0.896971]\n",
            "2527 [D loss: 0.690205, acc.: 54.69%] [G loss: 0.924682]\n",
            "2528 [D loss: 0.683909, acc.: 56.25%] [G loss: 0.914598]\n",
            "2529 [D loss: 0.629221, acc.: 67.19%] [G loss: 0.952161]\n",
            "2530 [D loss: 0.662619, acc.: 54.69%] [G loss: 1.109903]\n",
            "2531 [D loss: 0.705764, acc.: 54.69%] [G loss: 0.867862]\n",
            "2532 [D loss: 0.642402, acc.: 60.94%] [G loss: 1.115888]\n",
            "2533 [D loss: 0.674369, acc.: 51.56%] [G loss: 0.937979]\n",
            "2534 [D loss: 0.672051, acc.: 56.25%] [G loss: 0.958117]\n",
            "2535 [D loss: 0.656135, acc.: 56.25%] [G loss: 0.990789]\n",
            "2536 [D loss: 0.674203, acc.: 60.94%] [G loss: 0.895656]\n",
            "2537 [D loss: 0.634911, acc.: 62.50%] [G loss: 1.040191]\n",
            "2538 [D loss: 0.735103, acc.: 56.25%] [G loss: 0.869468]\n",
            "2539 [D loss: 0.687356, acc.: 54.69%] [G loss: 0.903420]\n",
            "2540 [D loss: 0.789076, acc.: 43.75%] [G loss: 0.997783]\n",
            "2541 [D loss: 0.682565, acc.: 54.69%] [G loss: 0.881068]\n",
            "2542 [D loss: 0.714278, acc.: 54.69%] [G loss: 0.880729]\n",
            "2543 [D loss: 0.873859, acc.: 34.38%] [G loss: 0.788210]\n",
            "2544 [D loss: 0.680667, acc.: 64.06%] [G loss: 1.047200]\n",
            "2545 [D loss: 0.675127, acc.: 56.25%] [G loss: 1.032174]\n",
            "2546 [D loss: 0.720179, acc.: 56.25%] [G loss: 0.902884]\n",
            "2547 [D loss: 0.746216, acc.: 46.88%] [G loss: 0.962874]\n",
            "2548 [D loss: 0.658466, acc.: 51.56%] [G loss: 0.863694]\n",
            "2549 [D loss: 0.651316, acc.: 60.94%] [G loss: 0.938974]\n",
            "2550 [D loss: 0.635916, acc.: 62.50%] [G loss: 1.014109]\n",
            "2551 [D loss: 0.653898, acc.: 60.94%] [G loss: 0.957125]\n",
            "2552 [D loss: 0.688487, acc.: 56.25%] [G loss: 0.993129]\n",
            "2553 [D loss: 0.663736, acc.: 62.50%] [G loss: 1.121497]\n",
            "2554 [D loss: 0.646966, acc.: 59.38%] [G loss: 0.916306]\n",
            "2555 [D loss: 0.674231, acc.: 56.25%] [G loss: 0.897130]\n",
            "2556 [D loss: 0.792843, acc.: 40.62%] [G loss: 0.903856]\n",
            "2557 [D loss: 0.659782, acc.: 59.38%] [G loss: 0.996944]\n",
            "2558 [D loss: 0.699959, acc.: 48.44%] [G loss: 0.944341]\n",
            "2559 [D loss: 0.646292, acc.: 62.50%] [G loss: 0.957610]\n",
            "2560 [D loss: 0.660658, acc.: 62.50%] [G loss: 1.076209]\n",
            "2561 [D loss: 0.688537, acc.: 59.38%] [G loss: 0.961564]\n",
            "2562 [D loss: 0.611862, acc.: 68.75%] [G loss: 1.033100]\n",
            "2563 [D loss: 0.633253, acc.: 71.88%] [G loss: 0.915753]\n",
            "2564 [D loss: 0.693109, acc.: 54.69%] [G loss: 0.761050]\n",
            "2565 [D loss: 0.727301, acc.: 45.31%] [G loss: 0.964674]\n",
            "2566 [D loss: 0.662442, acc.: 57.81%] [G loss: 0.901596]\n",
            "2567 [D loss: 0.742193, acc.: 46.88%] [G loss: 0.823609]\n",
            "2568 [D loss: 0.683547, acc.: 57.81%] [G loss: 1.147373]\n",
            "2569 [D loss: 0.725962, acc.: 54.69%] [G loss: 0.850134]\n",
            "2570 [D loss: 0.668794, acc.: 62.50%] [G loss: 0.840943]\n",
            "2571 [D loss: 0.757913, acc.: 48.44%] [G loss: 0.834508]\n",
            "2572 [D loss: 0.746716, acc.: 46.88%] [G loss: 0.890851]\n",
            "2573 [D loss: 0.621807, acc.: 62.50%] [G loss: 0.867589]\n",
            "2574 [D loss: 0.719220, acc.: 42.19%] [G loss: 0.886638]\n",
            "2575 [D loss: 0.678507, acc.: 56.25%] [G loss: 0.920485]\n",
            "2576 [D loss: 0.684190, acc.: 56.25%] [G loss: 1.034916]\n",
            "2577 [D loss: 0.681406, acc.: 62.50%] [G loss: 0.999971]\n",
            "2578 [D loss: 0.752813, acc.: 43.75%] [G loss: 0.958905]\n",
            "2579 [D loss: 0.618528, acc.: 64.06%] [G loss: 1.110391]\n",
            "2580 [D loss: 0.653242, acc.: 62.50%] [G loss: 1.058577]\n",
            "2581 [D loss: 0.744942, acc.: 51.56%] [G loss: 0.904470]\n",
            "2582 [D loss: 0.716146, acc.: 51.56%] [G loss: 0.989993]\n",
            "2583 [D loss: 0.652355, acc.: 59.38%] [G loss: 0.856992]\n",
            "2584 [D loss: 0.625799, acc.: 64.06%] [G loss: 0.938529]\n",
            "2585 [D loss: 0.703746, acc.: 51.56%] [G loss: 0.806108]\n",
            "2586 [D loss: 0.687289, acc.: 57.81%] [G loss: 0.889222]\n",
            "2587 [D loss: 0.701970, acc.: 53.12%] [G loss: 1.056125]\n",
            "2588 [D loss: 0.683246, acc.: 54.69%] [G loss: 1.012185]\n",
            "2589 [D loss: 0.766526, acc.: 48.44%] [G loss: 1.012802]\n",
            "2590 [D loss: 0.710223, acc.: 51.56%] [G loss: 0.996830]\n",
            "2591 [D loss: 0.714187, acc.: 53.12%] [G loss: 0.972605]\n",
            "2592 [D loss: 0.609473, acc.: 71.88%] [G loss: 1.025223]\n",
            "2593 [D loss: 0.653872, acc.: 65.62%] [G loss: 1.010455]\n",
            "2594 [D loss: 0.685301, acc.: 53.12%] [G loss: 0.919625]\n",
            "2595 [D loss: 0.671497, acc.: 54.69%] [G loss: 1.099221]\n",
            "2596 [D loss: 0.800493, acc.: 37.50%] [G loss: 0.921660]\n",
            "2597 [D loss: 0.666197, acc.: 51.56%] [G loss: 0.921915]\n",
            "2598 [D loss: 0.665747, acc.: 57.81%] [G loss: 1.008532]\n",
            "2599 [D loss: 0.690282, acc.: 65.62%] [G loss: 0.886416]\n",
            "2600 [D loss: 0.715370, acc.: 48.44%] [G loss: 1.016527]\n",
            "2601 [D loss: 0.632723, acc.: 68.75%] [G loss: 0.979349]\n",
            "2602 [D loss: 0.640407, acc.: 60.94%] [G loss: 0.992462]\n",
            "2603 [D loss: 0.744097, acc.: 51.56%] [G loss: 0.860878]\n",
            "2604 [D loss: 0.607526, acc.: 75.00%] [G loss: 0.912893]\n",
            "2605 [D loss: 0.791439, acc.: 51.56%] [G loss: 0.884433]\n",
            "2606 [D loss: 0.659299, acc.: 59.38%] [G loss: 0.907660]\n",
            "2607 [D loss: 0.766915, acc.: 45.31%] [G loss: 0.857228]\n",
            "2608 [D loss: 0.685742, acc.: 57.81%] [G loss: 0.767313]\n",
            "2609 [D loss: 0.640526, acc.: 64.06%] [G loss: 1.025842]\n",
            "2610 [D loss: 0.671419, acc.: 62.50%] [G loss: 1.109391]\n",
            "2611 [D loss: 0.659559, acc.: 64.06%] [G loss: 0.939036]\n",
            "2612 [D loss: 0.710927, acc.: 56.25%] [G loss: 1.008582]\n",
            "2613 [D loss: 0.685432, acc.: 64.06%] [G loss: 0.835225]\n",
            "2614 [D loss: 0.649286, acc.: 57.81%] [G loss: 1.025731]\n",
            "2615 [D loss: 0.618705, acc.: 68.75%] [G loss: 1.065901]\n",
            "2616 [D loss: 0.713533, acc.: 48.44%] [G loss: 0.933246]\n",
            "2617 [D loss: 0.663986, acc.: 54.69%] [G loss: 0.950879]\n",
            "2618 [D loss: 0.689632, acc.: 57.81%] [G loss: 0.929305]\n",
            "2619 [D loss: 0.738603, acc.: 50.00%] [G loss: 0.914361]\n",
            "2620 [D loss: 0.739416, acc.: 48.44%] [G loss: 0.964303]\n",
            "2621 [D loss: 0.678842, acc.: 53.12%] [G loss: 0.868219]\n",
            "2622 [D loss: 0.686186, acc.: 62.50%] [G loss: 0.934924]\n",
            "2623 [D loss: 0.649413, acc.: 62.50%] [G loss: 0.900057]\n",
            "2624 [D loss: 0.712487, acc.: 48.44%] [G loss: 0.920969]\n",
            "2625 [D loss: 0.654707, acc.: 59.38%] [G loss: 0.931482]\n",
            "2626 [D loss: 0.655124, acc.: 65.62%] [G loss: 0.968004]\n",
            "2627 [D loss: 0.682005, acc.: 59.38%] [G loss: 0.970785]\n",
            "2628 [D loss: 0.725149, acc.: 45.31%] [G loss: 0.879328]\n",
            "2629 [D loss: 0.536010, acc.: 78.12%] [G loss: 1.187086]\n",
            "2630 [D loss: 0.705936, acc.: 50.00%] [G loss: 0.971530]\n",
            "2631 [D loss: 0.670447, acc.: 57.81%] [G loss: 1.006448]\n",
            "2632 [D loss: 0.635884, acc.: 62.50%] [G loss: 0.889045]\n",
            "2633 [D loss: 0.622759, acc.: 65.62%] [G loss: 1.005630]\n",
            "2634 [D loss: 0.621120, acc.: 57.81%] [G loss: 1.107046]\n",
            "2635 [D loss: 0.704621, acc.: 54.69%] [G loss: 0.893168]\n",
            "2636 [D loss: 0.700712, acc.: 51.56%] [G loss: 0.883718]\n",
            "2637 [D loss: 0.629705, acc.: 64.06%] [G loss: 0.970568]\n",
            "2638 [D loss: 0.657359, acc.: 59.38%] [G loss: 0.931140]\n",
            "2639 [D loss: 0.622471, acc.: 62.50%] [G loss: 0.972180]\n",
            "2640 [D loss: 0.646759, acc.: 60.94%] [G loss: 0.972842]\n",
            "2641 [D loss: 0.716668, acc.: 48.44%] [G loss: 1.053692]\n",
            "2642 [D loss: 0.659824, acc.: 59.38%] [G loss: 1.084757]\n",
            "2643 [D loss: 0.666704, acc.: 60.94%] [G loss: 0.890055]\n",
            "2644 [D loss: 0.571112, acc.: 75.00%] [G loss: 0.993634]\n",
            "2645 [D loss: 0.799290, acc.: 40.62%] [G loss: 0.882449]\n",
            "2646 [D loss: 0.686812, acc.: 57.81%] [G loss: 0.890530]\n",
            "2647 [D loss: 0.721366, acc.: 53.12%] [G loss: 0.911356]\n",
            "2648 [D loss: 0.728418, acc.: 45.31%] [G loss: 0.917325]\n",
            "2649 [D loss: 0.642833, acc.: 70.31%] [G loss: 0.945358]\n",
            "2650 [D loss: 0.650520, acc.: 60.94%] [G loss: 0.969000]\n",
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            "2657 [D loss: 0.647852, acc.: 64.06%] [G loss: 0.921419]\n",
            "2658 [D loss: 0.710215, acc.: 46.88%] [G loss: 0.952419]\n",
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            "2669 [D loss: 0.633057, acc.: 67.19%] [G loss: 0.926667]\n",
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            "2683 [D loss: 0.645280, acc.: 64.06%] [G loss: 1.050844]\n",
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            "2690 [D loss: 0.714290, acc.: 48.44%] [G loss: 0.986323]\n",
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            "2695 [D loss: 0.702108, acc.: 54.69%] [G loss: 1.073774]\n",
            "2696 [D loss: 0.683784, acc.: 57.81%] [G loss: 0.987980]\n",
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            "2701 [D loss: 0.647891, acc.: 59.38%] [G loss: 0.976858]\n",
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            "2703 [D loss: 0.612096, acc.: 57.81%] [G loss: 0.968819]\n",
            "2704 [D loss: 0.611941, acc.: 62.50%] [G loss: 0.919981]\n",
            "2705 [D loss: 0.766066, acc.: 46.88%] [G loss: 0.923833]\n",
            "2706 [D loss: 0.651650, acc.: 59.38%] [G loss: 0.951249]\n",
            "2707 [D loss: 0.672399, acc.: 64.06%] [G loss: 0.877786]\n",
            "2708 [D loss: 0.712775, acc.: 57.81%] [G loss: 0.959782]\n",
            "2709 [D loss: 0.543921, acc.: 78.12%] [G loss: 0.941034]\n",
            "2710 [D loss: 0.764619, acc.: 46.88%] [G loss: 0.824435]\n",
            "2711 [D loss: 0.771451, acc.: 51.56%] [G loss: 1.045073]\n",
            "2712 [D loss: 0.737733, acc.: 53.12%] [G loss: 0.984110]\n",
            "2713 [D loss: 0.752457, acc.: 48.44%] [G loss: 0.895654]\n",
            "2714 [D loss: 0.713930, acc.: 53.12%] [G loss: 0.883721]\n",
            "2715 [D loss: 0.741745, acc.: 45.31%] [G loss: 0.828317]\n",
            "2716 [D loss: 0.726436, acc.: 51.56%] [G loss: 0.924150]\n",
            "2717 [D loss: 0.743454, acc.: 46.88%] [G loss: 0.839394]\n",
            "2718 [D loss: 0.660855, acc.: 59.38%] [G loss: 0.865139]\n",
            "2719 [D loss: 0.663304, acc.: 57.81%] [G loss: 0.978224]\n",
            "2720 [D loss: 0.629264, acc.: 65.62%] [G loss: 0.847633]\n",
            "2721 [D loss: 0.613244, acc.: 68.75%] [G loss: 1.059658]\n",
            "2722 [D loss: 0.560892, acc.: 73.44%] [G loss: 1.045602]\n",
            "2723 [D loss: 0.681331, acc.: 62.50%] [G loss: 0.943007]\n",
            "2724 [D loss: 0.669438, acc.: 56.25%] [G loss: 1.070717]\n",
            "2725 [D loss: 0.699695, acc.: 53.12%] [G loss: 0.867725]\n",
            "2726 [D loss: 0.648222, acc.: 64.06%] [G loss: 0.861233]\n",
            "2727 [D loss: 0.720039, acc.: 46.88%] [G loss: 1.013220]\n",
            "2728 [D loss: 0.637266, acc.: 65.62%] [G loss: 1.061030]\n",
            "2729 [D loss: 0.735168, acc.: 50.00%] [G loss: 0.994562]\n",
            "2730 [D loss: 0.626035, acc.: 65.62%] [G loss: 0.933909]\n",
            "2731 [D loss: 0.655537, acc.: 56.25%] [G loss: 1.023863]\n",
            "2732 [D loss: 0.682372, acc.: 56.25%] [G loss: 0.891799]\n",
            "2733 [D loss: 0.648833, acc.: 62.50%] [G loss: 1.003289]\n",
            "2734 [D loss: 0.693877, acc.: 50.00%] [G loss: 0.922966]\n",
            "2735 [D loss: 0.579090, acc.: 68.75%] [G loss: 1.039802]\n",
            "2736 [D loss: 0.698017, acc.: 57.81%] [G loss: 0.881561]\n",
            "2737 [D loss: 0.667370, acc.: 57.81%] [G loss: 0.920969]\n",
            "2738 [D loss: 0.659525, acc.: 60.94%] [G loss: 0.941762]\n",
            "2739 [D loss: 0.614333, acc.: 62.50%] [G loss: 0.954785]\n",
            "2740 [D loss: 0.685994, acc.: 59.38%] [G loss: 1.031943]\n",
            "2741 [D loss: 0.636148, acc.: 62.50%] [G loss: 0.934978]\n",
            "2742 [D loss: 0.655167, acc.: 60.94%] [G loss: 0.865692]\n",
            "2743 [D loss: 0.725703, acc.: 50.00%] [G loss: 0.971944]\n",
            "2744 [D loss: 0.642397, acc.: 64.06%] [G loss: 0.887886]\n",
            "2745 [D loss: 0.679460, acc.: 64.06%] [G loss: 1.001570]\n",
            "2746 [D loss: 0.719194, acc.: 53.12%] [G loss: 0.977673]\n",
            "2747 [D loss: 0.665781, acc.: 60.94%] [G loss: 0.970227]\n",
            "2748 [D loss: 0.777301, acc.: 42.19%] [G loss: 0.872743]\n",
            "2749 [D loss: 0.616694, acc.: 59.38%] [G loss: 0.868530]\n",
            "2750 [D loss: 0.660729, acc.: 65.62%] [G loss: 0.894084]\n",
            "2751 [D loss: 0.773214, acc.: 39.06%] [G loss: 0.961277]\n",
            "2752 [D loss: 0.678827, acc.: 54.69%] [G loss: 0.831501]\n",
            "2753 [D loss: 0.767009, acc.: 45.31%] [G loss: 0.963771]\n",
            "2754 [D loss: 0.683975, acc.: 50.00%] [G loss: 1.051376]\n",
            "2755 [D loss: 0.707670, acc.: 59.38%] [G loss: 0.830812]\n",
            "2756 [D loss: 0.653833, acc.: 62.50%] [G loss: 0.990949]\n",
            "2757 [D loss: 0.667370, acc.: 59.38%] [G loss: 0.948963]\n",
            "2758 [D loss: 0.690342, acc.: 57.81%] [G loss: 1.015306]\n",
            "2759 [D loss: 0.609028, acc.: 67.19%] [G loss: 1.126466]\n",
            "2760 [D loss: 0.664110, acc.: 59.38%] [G loss: 0.875595]\n",
            "2761 [D loss: 0.618422, acc.: 67.19%] [G loss: 0.996697]\n",
            "2762 [D loss: 0.707842, acc.: 53.12%] [G loss: 0.843569]\n",
            "2763 [D loss: 0.713357, acc.: 53.12%] [G loss: 0.903342]\n",
            "2764 [D loss: 0.694517, acc.: 62.50%] [G loss: 0.932724]\n",
            "2765 [D loss: 0.674052, acc.: 53.12%] [G loss: 0.983839]\n",
            "2766 [D loss: 0.682812, acc.: 54.69%] [G loss: 1.071309]\n",
            "2767 [D loss: 0.640940, acc.: 59.38%] [G loss: 0.863868]\n",
            "2768 [D loss: 0.719189, acc.: 53.12%] [G loss: 1.016960]\n",
            "2769 [D loss: 0.696616, acc.: 57.81%] [G loss: 1.017665]\n",
            "2770 [D loss: 0.672759, acc.: 62.50%] [G loss: 0.816815]\n",
            "2771 [D loss: 0.694615, acc.: 57.81%] [G loss: 0.956004]\n",
            "2772 [D loss: 0.653673, acc.: 56.25%] [G loss: 1.063733]\n",
            "2773 [D loss: 0.572848, acc.: 76.56%] [G loss: 1.052485]\n",
            "2774 [D loss: 0.707410, acc.: 57.81%] [G loss: 0.910004]\n",
            "2775 [D loss: 0.637559, acc.: 64.06%] [G loss: 0.920633]\n",
            "2776 [D loss: 0.741332, acc.: 45.31%] [G loss: 1.013484]\n",
            "2777 [D loss: 0.635615, acc.: 64.06%] [G loss: 1.005194]\n",
            "2778 [D loss: 0.658744, acc.: 59.38%] [G loss: 1.019460]\n",
            "2779 [D loss: 0.686917, acc.: 59.38%] [G loss: 0.973830]\n",
            "2780 [D loss: 0.719673, acc.: 54.69%] [G loss: 0.858836]\n",
            "2781 [D loss: 0.618104, acc.: 70.31%] [G loss: 1.138286]\n",
            "2782 [D loss: 0.610473, acc.: 59.38%] [G loss: 1.144791]\n",
            "2783 [D loss: 0.793716, acc.: 37.50%] [G loss: 0.905928]\n",
            "2784 [D loss: 0.661955, acc.: 60.94%] [G loss: 0.987725]\n",
            "2785 [D loss: 0.696060, acc.: 48.44%] [G loss: 0.987306]\n",
            "2786 [D loss: 0.671992, acc.: 59.38%] [G loss: 0.999294]\n",
            "2787 [D loss: 0.738006, acc.: 56.25%] [G loss: 0.944508]\n",
            "2788 [D loss: 0.648980, acc.: 57.81%] [G loss: 0.896465]\n",
            "2789 [D loss: 0.675513, acc.: 59.38%] [G loss: 1.010301]\n",
            "2790 [D loss: 0.720409, acc.: 51.56%] [G loss: 1.020523]\n",
            "2791 [D loss: 0.667946, acc.: 57.81%] [G loss: 0.896427]\n",
            "2792 [D loss: 0.675921, acc.: 54.69%] [G loss: 1.036137]\n",
            "2793 [D loss: 0.757034, acc.: 48.44%] [G loss: 0.881180]\n",
            "2794 [D loss: 0.665246, acc.: 65.62%] [G loss: 0.938885]\n",
            "2795 [D loss: 0.658471, acc.: 60.94%] [G loss: 0.929837]\n",
            "2796 [D loss: 0.756556, acc.: 50.00%] [G loss: 0.936787]\n",
            "2797 [D loss: 0.626922, acc.: 65.62%] [G loss: 0.969514]\n",
            "2798 [D loss: 0.758923, acc.: 48.44%] [G loss: 0.920963]\n",
            "2799 [D loss: 0.599670, acc.: 64.06%] [G loss: 0.902270]\n",
            "2800 [D loss: 0.718587, acc.: 57.81%] [G loss: 0.923425]\n",
            "2801 [D loss: 0.611779, acc.: 68.75%] [G loss: 1.037162]\n",
            "2802 [D loss: 0.722419, acc.: 53.12%] [G loss: 0.988999]\n",
            "2803 [D loss: 0.696479, acc.: 64.06%] [G loss: 0.949106]\n",
            "2804 [D loss: 0.771532, acc.: 46.88%] [G loss: 0.912729]\n",
            "2805 [D loss: 0.748397, acc.: 51.56%] [G loss: 0.953993]\n",
            "2806 [D loss: 0.718627, acc.: 53.12%] [G loss: 0.829429]\n",
            "2807 [D loss: 0.615777, acc.: 64.06%] [G loss: 0.978119]\n",
            "2808 [D loss: 0.623898, acc.: 68.75%] [G loss: 1.033913]\n",
            "2809 [D loss: 0.797513, acc.: 45.31%] [G loss: 0.877573]\n",
            "2810 [D loss: 0.696547, acc.: 51.56%] [G loss: 1.051824]\n",
            "2811 [D loss: 0.696855, acc.: 54.69%] [G loss: 1.016078]\n",
            "2812 [D loss: 0.665070, acc.: 57.81%] [G loss: 0.995879]\n",
            "2813 [D loss: 0.714817, acc.: 56.25%] [G loss: 0.999203]\n",
            "2814 [D loss: 0.583381, acc.: 76.56%] [G loss: 0.951249]\n",
            "2815 [D loss: 0.692143, acc.: 57.81%] [G loss: 0.994675]\n",
            "2816 [D loss: 0.690189, acc.: 57.81%] [G loss: 0.874268]\n",
            "2817 [D loss: 0.765939, acc.: 43.75%] [G loss: 1.098490]\n",
            "2818 [D loss: 0.597523, acc.: 65.62%] [G loss: 0.937428]\n",
            "2819 [D loss: 0.640357, acc.: 64.06%] [G loss: 0.874321]\n",
            "2820 [D loss: 0.680050, acc.: 60.94%] [G loss: 1.075693]\n",
            "2821 [D loss: 0.754227, acc.: 48.44%] [G loss: 0.984445]\n",
            "2822 [D loss: 0.726418, acc.: 54.69%] [G loss: 0.898546]\n",
            "2823 [D loss: 0.672956, acc.: 62.50%] [G loss: 0.930574]\n",
            "2824 [D loss: 0.645243, acc.: 62.50%] [G loss: 0.903438]\n",
            "2825 [D loss: 0.652174, acc.: 65.62%] [G loss: 0.929714]\n",
            "2826 [D loss: 0.629496, acc.: 64.06%] [G loss: 0.846428]\n",
            "2827 [D loss: 0.688579, acc.: 50.00%] [G loss: 0.985011]\n",
            "2828 [D loss: 0.636610, acc.: 62.50%] [G loss: 1.028201]\n",
            "2829 [D loss: 0.668472, acc.: 62.50%] [G loss: 0.883825]\n",
            "2830 [D loss: 0.661299, acc.: 65.62%] [G loss: 1.086066]\n",
            "2831 [D loss: 0.676128, acc.: 57.81%] [G loss: 1.008708]\n",
            "2832 [D loss: 0.585889, acc.: 75.00%] [G loss: 0.876163]\n",
            "2833 [D loss: 0.678685, acc.: 57.81%] [G loss: 0.920340]\n",
            "2834 [D loss: 0.615233, acc.: 65.62%] [G loss: 1.007808]\n",
            "2835 [D loss: 0.728789, acc.: 51.56%] [G loss: 0.910629]\n",
            "2836 [D loss: 0.725032, acc.: 53.12%] [G loss: 0.939916]\n",
            "2837 [D loss: 0.722862, acc.: 57.81%] [G loss: 1.016863]\n",
            "2838 [D loss: 0.729002, acc.: 53.12%] [G loss: 0.967375]\n",
            "2839 [D loss: 0.686699, acc.: 59.38%] [G loss: 0.974537]\n",
            "2840 [D loss: 0.661260, acc.: 54.69%] [G loss: 1.077062]\n",
            "2841 [D loss: 0.652142, acc.: 64.06%] [G loss: 1.014459]\n",
            "2842 [D loss: 0.683237, acc.: 53.12%] [G loss: 0.931557]\n",
            "2843 [D loss: 0.644079, acc.: 60.94%] [G loss: 1.049414]\n",
            "2844 [D loss: 0.606884, acc.: 67.19%] [G loss: 0.973449]\n",
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            "2846 [D loss: 0.689213, acc.: 59.38%] [G loss: 0.928785]\n",
            "2847 [D loss: 0.642563, acc.: 60.94%] [G loss: 1.003673]\n",
            "2848 [D loss: 0.701660, acc.: 50.00%] [G loss: 0.932264]\n",
            "2849 [D loss: 0.681622, acc.: 56.25%] [G loss: 1.011329]\n",
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            "2852 [D loss: 0.666627, acc.: 54.69%] [G loss: 1.079097]\n",
            "2853 [D loss: 0.685532, acc.: 57.81%] [G loss: 0.861232]\n",
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            "2856 [D loss: 0.645433, acc.: 59.38%] [G loss: 0.972606]\n",
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            "2858 [D loss: 0.712599, acc.: 51.56%] [G loss: 0.962966]\n",
            "2859 [D loss: 0.702460, acc.: 54.69%] [G loss: 1.076732]\n",
            "2860 [D loss: 0.721583, acc.: 43.75%] [G loss: 0.853063]\n",
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            "2866 [D loss: 0.756381, acc.: 45.31%] [G loss: 1.017638]\n",
            "2867 [D loss: 0.682182, acc.: 60.94%] [G loss: 0.983661]\n",
            "2868 [D loss: 0.552074, acc.: 75.00%] [G loss: 0.964861]\n",
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            "2924 [D loss: 0.690397, acc.: 65.62%] [G loss: 0.951192]\n",
            "2925 [D loss: 0.705217, acc.: 51.56%] [G loss: 0.886572]\n",
            "2926 [D loss: 0.767163, acc.: 45.31%] [G loss: 1.059965]\n",
            "2927 [D loss: 0.641735, acc.: 57.81%] [G loss: 1.144721]\n",
            "2928 [D loss: 0.603327, acc.: 70.31%] [G loss: 1.190166]\n",
            "2929 [D loss: 0.738664, acc.: 46.88%] [G loss: 0.838116]\n",
            "2930 [D loss: 0.706864, acc.: 53.12%] [G loss: 0.900565]\n",
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            "2932 [D loss: 0.668912, acc.: 51.56%] [G loss: 0.779771]\n",
            "2933 [D loss: 0.683726, acc.: 56.25%] [G loss: 1.005545]\n",
            "2934 [D loss: 0.631438, acc.: 62.50%] [G loss: 0.932784]\n",
            "2935 [D loss: 0.727170, acc.: 59.38%] [G loss: 1.032118]\n",
            "2936 [D loss: 0.652433, acc.: 57.81%] [G loss: 0.948896]\n",
            "2937 [D loss: 0.680662, acc.: 57.81%] [G loss: 0.843415]\n",
            "2938 [D loss: 0.695150, acc.: 56.25%] [G loss: 0.981250]\n",
            "2939 [D loss: 0.650226, acc.: 59.38%] [G loss: 1.110366]\n",
            "2940 [D loss: 0.590612, acc.: 68.75%] [G loss: 1.017472]\n",
            "2941 [D loss: 0.646213, acc.: 64.06%] [G loss: 0.883069]\n",
            "2942 [D loss: 0.719195, acc.: 45.31%] [G loss: 0.827570]\n",
            "2943 [D loss: 0.672622, acc.: 64.06%] [G loss: 1.053982]\n",
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            "2945 [D loss: 0.745438, acc.: 56.25%] [G loss: 0.993300]\n",
            "2946 [D loss: 0.756002, acc.: 51.56%] [G loss: 0.979817]\n",
            "2947 [D loss: 0.636894, acc.: 62.50%] [G loss: 0.961229]\n",
            "2948 [D loss: 0.671711, acc.: 62.50%] [G loss: 1.059769]\n",
            "2949 [D loss: 0.719032, acc.: 57.81%] [G loss: 0.985336]\n",
            "2950 [D loss: 0.641327, acc.: 62.50%] [G loss: 0.973412]\n",
            "2951 [D loss: 0.715203, acc.: 51.56%] [G loss: 0.955532]\n",
            "2952 [D loss: 0.675859, acc.: 59.38%] [G loss: 0.953255]\n",
            "2953 [D loss: 0.701329, acc.: 56.25%] [G loss: 1.110873]\n",
            "2954 [D loss: 0.708942, acc.: 57.81%] [G loss: 0.865442]\n",
            "2955 [D loss: 0.649962, acc.: 53.12%] [G loss: 0.970853]\n",
            "2956 [D loss: 0.681546, acc.: 53.12%] [G loss: 0.970174]\n",
            "2957 [D loss: 0.645207, acc.: 59.38%] [G loss: 0.963823]\n",
            "2958 [D loss: 0.712433, acc.: 60.94%] [G loss: 1.014434]\n",
            "2959 [D loss: 0.713623, acc.: 56.25%] [G loss: 0.937286]\n",
            "2960 [D loss: 0.670905, acc.: 56.25%] [G loss: 0.859142]\n",
            "2961 [D loss: 0.692050, acc.: 51.56%] [G loss: 1.076940]\n",
            "2962 [D loss: 0.654193, acc.: 62.50%] [G loss: 0.987304]\n",
            "2963 [D loss: 0.541349, acc.: 79.69%] [G loss: 1.080397]\n",
            "2964 [D loss: 0.586099, acc.: 75.00%] [G loss: 0.933597]\n",
            "2965 [D loss: 0.634057, acc.: 60.94%] [G loss: 1.052848]\n",
            "2966 [D loss: 0.633375, acc.: 64.06%] [G loss: 0.901755]\n",
            "2967 [D loss: 0.616215, acc.: 62.50%] [G loss: 0.840619]\n",
            "2968 [D loss: 0.598081, acc.: 70.31%] [G loss: 0.981131]\n",
            "2969 [D loss: 0.673768, acc.: 60.94%] [G loss: 0.991680]\n",
            "2970 [D loss: 0.612907, acc.: 68.75%] [G loss: 0.991640]\n",
            "2971 [D loss: 0.657199, acc.: 53.12%] [G loss: 0.990752]\n",
            "2972 [D loss: 0.584199, acc.: 73.44%] [G loss: 1.102689]\n",
            "2973 [D loss: 0.693512, acc.: 51.56%] [G loss: 0.840117]\n",
            "2974 [D loss: 0.649936, acc.: 68.75%] [G loss: 0.854244]\n",
            "2975 [D loss: 0.645924, acc.: 65.62%] [G loss: 1.082101]\n",
            "2976 [D loss: 0.715292, acc.: 56.25%] [G loss: 0.983972]\n",
            "2977 [D loss: 0.708799, acc.: 59.38%] [G loss: 0.991378]\n",
            "2978 [D loss: 0.623280, acc.: 60.94%] [G loss: 0.828725]\n",
            "2979 [D loss: 0.567414, acc.: 75.00%] [G loss: 1.048010]\n",
            "2980 [D loss: 0.726063, acc.: 51.56%] [G loss: 0.860032]\n",
            "2981 [D loss: 0.641340, acc.: 62.50%] [G loss: 0.979995]\n",
            "2982 [D loss: 0.614082, acc.: 65.62%] [G loss: 1.068829]\n",
            "2983 [D loss: 0.710001, acc.: 54.69%] [G loss: 1.007112]\n",
            "2984 [D loss: 0.587895, acc.: 70.31%] [G loss: 0.903332]\n",
            "2985 [D loss: 0.687304, acc.: 56.25%] [G loss: 0.914971]\n",
            "2986 [D loss: 0.709025, acc.: 50.00%] [G loss: 0.926647]\n",
            "2987 [D loss: 0.613623, acc.: 75.00%] [G loss: 0.913726]\n",
            "2988 [D loss: 0.678350, acc.: 60.94%] [G loss: 0.920789]\n",
            "2989 [D loss: 0.694818, acc.: 59.38%] [G loss: 0.952438]\n",
            "2990 [D loss: 0.696954, acc.: 59.38%] [G loss: 0.944364]\n",
            "2991 [D loss: 0.680599, acc.: 53.12%] [G loss: 0.844500]\n",
            "2992 [D loss: 0.627066, acc.: 64.06%] [G loss: 0.947728]\n",
            "2993 [D loss: 0.693467, acc.: 54.69%] [G loss: 0.878965]\n",
            "2994 [D loss: 0.678434, acc.: 68.75%] [G loss: 0.879741]\n",
            "2995 [D loss: 0.692050, acc.: 54.69%] [G loss: 0.912226]\n",
            "2996 [D loss: 0.684503, acc.: 54.69%] [G loss: 0.854277]\n",
            "2997 [D loss: 0.611123, acc.: 71.88%] [G loss: 0.999677]\n",
            "2998 [D loss: 0.599635, acc.: 60.94%] [G loss: 1.056656]\n",
            "2999 [D loss: 0.627316, acc.: 60.94%] [G loss: 0.903568]\n",
            "3000 [D loss: 0.654767, acc.: 60.94%] [G loss: 0.986866]\n",
            "3001 [D loss: 0.638987, acc.: 54.69%] [G loss: 1.002683]\n",
            "3002 [D loss: 0.629035, acc.: 64.06%] [G loss: 0.936423]\n",
            "3003 [D loss: 0.659453, acc.: 60.94%] [G loss: 0.987956]\n",
            "3004 [D loss: 0.656367, acc.: 62.50%] [G loss: 1.018589]\n",
            "3005 [D loss: 0.649524, acc.: 56.25%] [G loss: 0.984033]\n",
            "3006 [D loss: 0.603604, acc.: 71.88%] [G loss: 1.068422]\n",
            "3007 [D loss: 0.634012, acc.: 60.94%] [G loss: 1.013350]\n",
            "3008 [D loss: 0.701206, acc.: 50.00%] [G loss: 0.888486]\n",
            "3009 [D loss: 0.784977, acc.: 40.62%] [G loss: 0.920535]\n",
            "3010 [D loss: 0.599300, acc.: 59.38%] [G loss: 1.013124]\n",
            "3011 [D loss: 0.691985, acc.: 51.56%] [G loss: 0.889415]\n",
            "3012 [D loss: 0.658657, acc.: 68.75%] [G loss: 1.071482]\n",
            "3013 [D loss: 0.642676, acc.: 65.62%] [G loss: 0.951387]\n",
            "3014 [D loss: 0.708691, acc.: 59.38%] [G loss: 0.996029]\n",
            "3015 [D loss: 0.657533, acc.: 64.06%] [G loss: 1.001114]\n",
            "3016 [D loss: 0.756160, acc.: 43.75%] [G loss: 0.824560]\n",
            "3017 [D loss: 0.638109, acc.: 64.06%] [G loss: 0.949814]\n",
            "3018 [D loss: 0.729240, acc.: 54.69%] [G loss: 0.913702]\n",
            "3019 [D loss: 0.650797, acc.: 64.06%] [G loss: 0.932801]\n",
            "3020 [D loss: 0.684506, acc.: 57.81%] [G loss: 0.861463]\n",
            "3021 [D loss: 0.667292, acc.: 57.81%] [G loss: 0.967739]\n",
            "3022 [D loss: 0.605699, acc.: 70.31%] [G loss: 0.861454]\n",
            "3023 [D loss: 0.637379, acc.: 62.50%] [G loss: 1.026003]\n",
            "3024 [D loss: 0.651881, acc.: 59.38%] [G loss: 0.967483]\n",
            "3025 [D loss: 0.652522, acc.: 62.50%] [G loss: 1.080693]\n",
            "3026 [D loss: 0.690532, acc.: 54.69%] [G loss: 0.930451]\n",
            "3027 [D loss: 0.709857, acc.: 56.25%] [G loss: 1.002971]\n",
            "3028 [D loss: 0.682765, acc.: 57.81%] [G loss: 0.989643]\n",
            "3029 [D loss: 0.742697, acc.: 48.44%] [G loss: 0.900802]\n",
            "3030 [D loss: 0.780346, acc.: 46.88%] [G loss: 0.892886]\n",
            "3031 [D loss: 0.716410, acc.: 54.69%] [G loss: 0.961282]\n",
            "3032 [D loss: 0.593503, acc.: 75.00%] [G loss: 1.009829]\n",
            "3033 [D loss: 0.676439, acc.: 54.69%] [G loss: 1.044221]\n",
            "3034 [D loss: 0.720643, acc.: 51.56%] [G loss: 1.014992]\n",
            "3035 [D loss: 0.658776, acc.: 59.38%] [G loss: 0.925574]\n",
            "3036 [D loss: 0.646495, acc.: 59.38%] [G loss: 1.008949]\n",
            "3037 [D loss: 0.744057, acc.: 57.81%] [G loss: 0.956312]\n",
            "3038 [D loss: 0.718990, acc.: 50.00%] [G loss: 0.910879]\n",
            "3039 [D loss: 0.654446, acc.: 65.62%] [G loss: 0.938527]\n",
            "3040 [D loss: 0.728151, acc.: 51.56%] [G loss: 1.038350]\n",
            "3041 [D loss: 0.756461, acc.: 50.00%] [G loss: 0.953666]\n",
            "3042 [D loss: 0.680128, acc.: 59.38%] [G loss: 0.980181]\n",
            "3043 [D loss: 0.705869, acc.: 56.25%] [G loss: 0.883706]\n",
            "3044 [D loss: 0.683373, acc.: 48.44%] [G loss: 1.019052]\n",
            "3045 [D loss: 0.681518, acc.: 56.25%] [G loss: 0.886898]\n",
            "3046 [D loss: 0.667935, acc.: 53.12%] [G loss: 0.964864]\n",
            "3047 [D loss: 0.698987, acc.: 53.12%] [G loss: 0.973715]\n",
            "3048 [D loss: 0.663183, acc.: 60.94%] [G loss: 1.003601]\n",
            "3049 [D loss: 0.620057, acc.: 67.19%] [G loss: 0.937976]\n",
            "3050 [D loss: 0.672196, acc.: 56.25%] [G loss: 0.940327]\n",
            "3051 [D loss: 0.649659, acc.: 60.94%] [G loss: 1.067598]\n",
            "3052 [D loss: 0.647369, acc.: 70.31%] [G loss: 1.040404]\n",
            "3053 [D loss: 0.761466, acc.: 48.44%] [G loss: 0.904706]\n",
            "3054 [D loss: 0.670795, acc.: 60.94%] [G loss: 0.851268]\n",
            "3055 [D loss: 0.643634, acc.: 60.94%] [G loss: 0.945075]\n",
            "3056 [D loss: 0.622121, acc.: 60.94%] [G loss: 1.025031]\n",
            "3057 [D loss: 0.695040, acc.: 59.38%] [G loss: 0.900666]\n",
            "3058 [D loss: 0.625223, acc.: 57.81%] [G loss: 0.939919]\n",
            "3059 [D loss: 0.655555, acc.: 62.50%] [G loss: 0.824454]\n",
            "3060 [D loss: 0.619968, acc.: 60.94%] [G loss: 0.941599]\n",
            "3061 [D loss: 0.658812, acc.: 64.06%] [G loss: 1.011150]\n",
            "3062 [D loss: 0.648494, acc.: 65.62%] [G loss: 1.027660]\n",
            "3063 [D loss: 0.655600, acc.: 64.06%] [G loss: 1.029502]\n",
            "3064 [D loss: 0.655473, acc.: 59.38%] [G loss: 1.050053]\n",
            "3065 [D loss: 0.610045, acc.: 70.31%] [G loss: 1.136386]\n",
            "3066 [D loss: 0.590042, acc.: 68.75%] [G loss: 1.151887]\n",
            "3067 [D loss: 0.760656, acc.: 51.56%] [G loss: 0.972335]\n",
            "3068 [D loss: 0.735559, acc.: 45.31%] [G loss: 0.951326]\n",
            "3069 [D loss: 0.739176, acc.: 51.56%] [G loss: 1.050288]\n",
            "3070 [D loss: 0.723066, acc.: 50.00%] [G loss: 0.844416]\n",
            "3071 [D loss: 0.731884, acc.: 53.12%] [G loss: 0.834868]\n",
            "3072 [D loss: 0.730572, acc.: 43.75%] [G loss: 0.982125]\n",
            "3073 [D loss: 0.589593, acc.: 76.56%] [G loss: 1.050254]\n",
            "3074 [D loss: 0.728455, acc.: 57.81%] [G loss: 1.057576]\n",
            "3075 [D loss: 0.683434, acc.: 59.38%] [G loss: 0.947525]\n",
            "3076 [D loss: 0.734391, acc.: 50.00%] [G loss: 1.048030]\n",
            "3077 [D loss: 0.737618, acc.: 54.69%] [G loss: 0.966705]\n",
            "3078 [D loss: 0.764037, acc.: 51.56%] [G loss: 0.876869]\n",
            "3079 [D loss: 0.635527, acc.: 65.62%] [G loss: 1.008681]\n",
            "3080 [D loss: 0.638320, acc.: 62.50%] [G loss: 0.958373]\n",
            "3081 [D loss: 0.616608, acc.: 67.19%] [G loss: 1.006772]\n",
            "3082 [D loss: 0.736106, acc.: 46.88%] [G loss: 0.965825]\n",
            "3083 [D loss: 0.730776, acc.: 51.56%] [G loss: 0.999914]\n",
            "3084 [D loss: 0.736916, acc.: 43.75%] [G loss: 1.026715]\n",
            "3085 [D loss: 0.732147, acc.: 51.56%] [G loss: 0.973097]\n",
            "3086 [D loss: 0.634799, acc.: 56.25%] [G loss: 0.953113]\n",
            "3087 [D loss: 0.733988, acc.: 56.25%] [G loss: 0.811954]\n",
            "3088 [D loss: 0.634586, acc.: 64.06%] [G loss: 0.976846]\n",
            "3089 [D loss: 0.691271, acc.: 50.00%] [G loss: 0.867282]\n",
            "3090 [D loss: 0.693634, acc.: 57.81%] [G loss: 0.821137]\n",
            "3091 [D loss: 0.641529, acc.: 57.81%] [G loss: 0.848167]\n",
            "3092 [D loss: 0.677586, acc.: 57.81%] [G loss: 1.017309]\n",
            "3093 [D loss: 0.658728, acc.: 60.94%] [G loss: 0.920589]\n",
            "3094 [D loss: 0.591233, acc.: 70.31%] [G loss: 0.927328]\n",
            "3095 [D loss: 0.657413, acc.: 57.81%] [G loss: 0.975164]\n",
            "3096 [D loss: 0.612390, acc.: 68.75%] [G loss: 0.848378]\n",
            "3097 [D loss: 0.585294, acc.: 71.88%] [G loss: 0.961188]\n",
            "3098 [D loss: 0.639884, acc.: 62.50%] [G loss: 1.000254]\n",
            "3099 [D loss: 0.653081, acc.: 56.25%] [G loss: 0.838048]\n",
            "3100 [D loss: 0.712024, acc.: 56.25%] [G loss: 0.891996]\n",
            "3101 [D loss: 0.613101, acc.: 70.31%] [G loss: 0.996847]\n",
            "3102 [D loss: 0.635583, acc.: 67.19%] [G loss: 0.930820]\n",
            "3103 [D loss: 0.722151, acc.: 46.88%] [G loss: 0.885057]\n",
            "3104 [D loss: 0.672888, acc.: 60.94%] [G loss: 0.936688]\n",
            "3105 [D loss: 0.646773, acc.: 62.50%] [G loss: 1.044056]\n",
            "3106 [D loss: 0.637372, acc.: 64.06%] [G loss: 0.880455]\n",
            "3107 [D loss: 0.546310, acc.: 78.12%] [G loss: 0.904729]\n",
            "3108 [D loss: 0.708176, acc.: 62.50%] [G loss: 0.971834]\n",
            "3109 [D loss: 0.662285, acc.: 51.56%] [G loss: 0.919304]\n",
            "3110 [D loss: 0.617457, acc.: 70.31%] [G loss: 0.960058]\n",
            "3111 [D loss: 0.631155, acc.: 62.50%] [G loss: 1.017901]\n",
            "3112 [D loss: 0.693829, acc.: 53.12%] [G loss: 0.947468]\n",
            "3113 [D loss: 0.709033, acc.: 51.56%] [G loss: 0.811828]\n",
            "3114 [D loss: 0.682325, acc.: 54.69%] [G loss: 0.876322]\n",
            "3115 [D loss: 0.715954, acc.: 51.56%] [G loss: 0.896005]\n",
            "3116 [D loss: 0.599173, acc.: 64.06%] [G loss: 1.045412]\n",
            "3117 [D loss: 0.629232, acc.: 65.62%] [G loss: 1.010634]\n",
            "3118 [D loss: 0.726065, acc.: 54.69%] [G loss: 0.923076]\n",
            "3119 [D loss: 0.670132, acc.: 62.50%] [G loss: 0.880896]\n",
            "3120 [D loss: 0.711019, acc.: 59.38%] [G loss: 0.861238]\n",
            "3121 [D loss: 0.697553, acc.: 56.25%] [G loss: 0.950049]\n",
            "3122 [D loss: 0.606446, acc.: 70.31%] [G loss: 0.791520]\n",
            "3123 [D loss: 0.572686, acc.: 68.75%] [G loss: 1.097094]\n",
            "3124 [D loss: 0.717193, acc.: 48.44%] [G loss: 0.875885]\n",
            "3125 [D loss: 0.592592, acc.: 68.75%] [G loss: 1.126388]\n",
            "3126 [D loss: 0.740588, acc.: 48.44%] [G loss: 1.072460]\n",
            "3127 [D loss: 0.664557, acc.: 60.94%] [G loss: 0.968798]\n",
            "3128 [D loss: 0.683221, acc.: 54.69%] [G loss: 0.993198]\n",
            "3129 [D loss: 0.608576, acc.: 73.44%] [G loss: 0.842654]\n",
            "3130 [D loss: 0.612655, acc.: 60.94%] [G loss: 0.971684]\n",
            "3131 [D loss: 0.655145, acc.: 62.50%] [G loss: 0.921080]\n",
            "3132 [D loss: 0.666490, acc.: 56.25%] [G loss: 0.948411]\n",
            "3133 [D loss: 0.706868, acc.: 53.12%] [G loss: 0.887676]\n",
            "3134 [D loss: 0.675588, acc.: 62.50%] [G loss: 1.106602]\n",
            "3135 [D loss: 0.753765, acc.: 53.12%] [G loss: 0.885731]\n",
            "3136 [D loss: 0.667155, acc.: 56.25%] [G loss: 0.998466]\n",
            "3137 [D loss: 0.688585, acc.: 56.25%] [G loss: 1.060300]\n",
            "3138 [D loss: 0.640479, acc.: 62.50%] [G loss: 0.992486]\n",
            "3139 [D loss: 0.710427, acc.: 46.88%] [G loss: 0.892099]\n",
            "3140 [D loss: 0.666190, acc.: 48.44%] [G loss: 1.090201]\n",
            "3141 [D loss: 0.743452, acc.: 50.00%] [G loss: 0.932509]\n",
            "3142 [D loss: 0.628572, acc.: 65.62%] [G loss: 0.983128]\n",
            "3143 [D loss: 0.678503, acc.: 53.12%] [G loss: 1.035220]\n",
            "3144 [D loss: 0.651846, acc.: 64.06%] [G loss: 1.038570]\n",
            "3145 [D loss: 0.632546, acc.: 60.94%] [G loss: 1.029442]\n",
            "3146 [D loss: 0.658678, acc.: 60.94%] [G loss: 1.004790]\n",
            "3147 [D loss: 0.627027, acc.: 62.50%] [G loss: 1.069654]\n",
            "3148 [D loss: 0.600227, acc.: 67.19%] [G loss: 0.999324]\n",
            "3149 [D loss: 0.758222, acc.: 51.56%] [G loss: 0.934739]\n",
            "3150 [D loss: 0.633763, acc.: 68.75%] [G loss: 0.902241]\n",
            "3151 [D loss: 0.702887, acc.: 56.25%] [G loss: 1.115751]\n",
            "3152 [D loss: 0.649064, acc.: 60.94%] [G loss: 1.062160]\n",
            "3153 [D loss: 0.605251, acc.: 71.88%] [G loss: 1.019457]\n",
            "3154 [D loss: 0.769914, acc.: 43.75%] [G loss: 0.949129]\n",
            "3155 [D loss: 0.641670, acc.: 57.81%] [G loss: 0.948216]\n",
            "3156 [D loss: 0.713584, acc.: 43.75%] [G loss: 0.880659]\n",
            "3157 [D loss: 0.712129, acc.: 53.12%] [G loss: 0.866131]\n",
            "3158 [D loss: 0.662661, acc.: 54.69%] [G loss: 1.016203]\n",
            "3159 [D loss: 0.669297, acc.: 59.38%] [G loss: 1.000540]\n",
            "3160 [D loss: 0.711366, acc.: 57.81%] [G loss: 0.926758]\n",
            "3161 [D loss: 0.642738, acc.: 64.06%] [G loss: 0.975553]\n",
            "3162 [D loss: 0.711112, acc.: 60.94%] [G loss: 0.940776]\n",
            "3163 [D loss: 0.694418, acc.: 56.25%] [G loss: 0.959206]\n",
            "3164 [D loss: 0.655801, acc.: 62.50%] [G loss: 0.986081]\n",
            "3165 [D loss: 0.600309, acc.: 62.50%] [G loss: 1.077363]\n",
            "3166 [D loss: 0.663923, acc.: 59.38%] [G loss: 1.011121]\n",
            "3167 [D loss: 0.702643, acc.: 53.12%] [G loss: 0.947179]\n",
            "3168 [D loss: 0.713984, acc.: 56.25%] [G loss: 1.045830]\n",
            "3169 [D loss: 0.699576, acc.: 54.69%] [G loss: 0.993830]\n",
            "3170 [D loss: 0.697130, acc.: 54.69%] [G loss: 0.919543]\n",
            "3171 [D loss: 0.631599, acc.: 62.50%] [G loss: 0.961187]\n",
            "3172 [D loss: 0.646530, acc.: 64.06%] [G loss: 1.057478]\n",
            "3173 [D loss: 0.581658, acc.: 73.44%] [G loss: 1.130263]\n",
            "3174 [D loss: 0.654238, acc.: 62.50%] [G loss: 0.972629]\n",
            "3175 [D loss: 0.678990, acc.: 54.69%] [G loss: 0.879928]\n",
            "3176 [D loss: 0.643140, acc.: 68.75%] [G loss: 1.152597]\n",
            "3177 [D loss: 0.631777, acc.: 68.75%] [G loss: 1.144559]\n",
            "3178 [D loss: 0.739419, acc.: 53.12%] [G loss: 0.929673]\n",
            "3179 [D loss: 0.627298, acc.: 64.06%] [G loss: 0.961757]\n",
            "3180 [D loss: 0.616118, acc.: 60.94%] [G loss: 0.998585]\n",
            "3181 [D loss: 0.655853, acc.: 62.50%] [G loss: 0.937550]\n",
            "3182 [D loss: 0.751391, acc.: 50.00%] [G loss: 0.783722]\n",
            "3183 [D loss: 0.653827, acc.: 62.50%] [G loss: 0.940358]\n",
            "3184 [D loss: 0.705943, acc.: 56.25%] [G loss: 0.916597]\n",
            "3185 [D loss: 0.733248, acc.: 48.44%] [G loss: 0.967972]\n",
            "3186 [D loss: 0.649184, acc.: 59.38%] [G loss: 0.921185]\n",
            "3187 [D loss: 0.681096, acc.: 56.25%] [G loss: 1.018562]\n",
            "3188 [D loss: 0.666887, acc.: 59.38%] [G loss: 1.040444]\n",
            "3189 [D loss: 0.718657, acc.: 51.56%] [G loss: 0.946782]\n",
            "3190 [D loss: 0.656186, acc.: 60.94%] [G loss: 0.888258]\n",
            "3191 [D loss: 0.724458, acc.: 46.88%] [G loss: 0.814719]\n",
            "3192 [D loss: 0.696490, acc.: 53.12%] [G loss: 0.942542]\n",
            "3193 [D loss: 0.631517, acc.: 64.06%] [G loss: 0.971524]\n",
            "3194 [D loss: 0.681206, acc.: 51.56%] [G loss: 0.990870]\n",
            "3195 [D loss: 0.610539, acc.: 73.44%] [G loss: 1.031188]\n",
            "3196 [D loss: 0.750714, acc.: 48.44%] [G loss: 0.835233]\n",
            "3197 [D loss: 0.686389, acc.: 57.81%] [G loss: 0.782502]\n",
            "3198 [D loss: 0.827106, acc.: 39.06%] [G loss: 0.951204]\n",
            "3199 [D loss: 0.571790, acc.: 70.31%] [G loss: 0.975402]\n",
            "3200 [D loss: 0.636758, acc.: 67.19%] [G loss: 1.014860]\n",
            "3201 [D loss: 0.614740, acc.: 68.75%] [G loss: 0.925061]\n",
            "3202 [D loss: 0.698742, acc.: 54.69%] [G loss: 0.933739]\n",
            "3203 [D loss: 0.633676, acc.: 65.62%] [G loss: 1.026169]\n",
            "3204 [D loss: 0.698710, acc.: 50.00%] [G loss: 0.836605]\n",
            "3205 [D loss: 0.687332, acc.: 54.69%] [G loss: 0.916883]\n",
            "3206 [D loss: 0.639009, acc.: 60.94%] [G loss: 1.018596]\n",
            "3207 [D loss: 0.666176, acc.: 60.94%] [G loss: 0.941637]\n",
            "3208 [D loss: 0.625839, acc.: 56.25%] [G loss: 1.119569]\n",
            "3209 [D loss: 0.808820, acc.: 39.06%] [G loss: 0.849461]\n",
            "3210 [D loss: 0.626824, acc.: 70.31%] [G loss: 0.823684]\n",
            "3211 [D loss: 0.607938, acc.: 67.19%] [G loss: 0.959060]\n",
            "3212 [D loss: 0.707153, acc.: 56.25%] [G loss: 1.076419]\n",
            "3213 [D loss: 0.677032, acc.: 57.81%] [G loss: 0.855963]\n",
            "3214 [D loss: 0.704542, acc.: 50.00%] [G loss: 0.801967]\n",
            "3215 [D loss: 0.713871, acc.: 54.69%] [G loss: 0.941760]\n",
            "3216 [D loss: 0.621441, acc.: 65.62%] [G loss: 0.933299]\n",
            "3217 [D loss: 0.674724, acc.: 54.69%] [G loss: 0.958932]\n",
            "3218 [D loss: 0.663065, acc.: 62.50%] [G loss: 1.014435]\n",
            "3219 [D loss: 0.660395, acc.: 60.94%] [G loss: 1.019824]\n",
            "3220 [D loss: 0.682865, acc.: 59.38%] [G loss: 0.960045]\n",
            "3221 [D loss: 0.752283, acc.: 50.00%] [G loss: 1.006015]\n",
            "3222 [D loss: 0.639896, acc.: 59.38%] [G loss: 0.960394]\n",
            "3223 [D loss: 0.666282, acc.: 53.12%] [G loss: 1.027679]\n",
            "3224 [D loss: 0.662704, acc.: 60.94%] [G loss: 1.072070]\n",
            "3225 [D loss: 0.634871, acc.: 56.25%] [G loss: 0.852827]\n",
            "3226 [D loss: 0.716345, acc.: 50.00%] [G loss: 0.841496]\n",
            "3227 [D loss: 0.593668, acc.: 68.75%] [G loss: 0.897195]\n",
            "3228 [D loss: 0.568798, acc.: 73.44%] [G loss: 1.000203]\n",
            "3229 [D loss: 0.654963, acc.: 60.94%] [G loss: 1.046169]\n",
            "3230 [D loss: 0.756557, acc.: 42.19%] [G loss: 1.035236]\n",
            "3231 [D loss: 0.705885, acc.: 48.44%] [G loss: 0.941401]\n",
            "3232 [D loss: 0.704237, acc.: 53.12%] [G loss: 0.997151]\n",
            "3233 [D loss: 0.631428, acc.: 68.75%] [G loss: 1.044295]\n",
            "3234 [D loss: 0.757043, acc.: 43.75%] [G loss: 1.040710]\n",
            "3235 [D loss: 0.610361, acc.: 62.50%] [G loss: 1.083666]\n",
            "3236 [D loss: 0.593478, acc.: 71.88%] [G loss: 0.920640]\n",
            "3237 [D loss: 0.681108, acc.: 57.81%] [G loss: 1.034631]\n",
            "3238 [D loss: 0.735727, acc.: 60.94%] [G loss: 0.904783]\n",
            "3239 [D loss: 0.684061, acc.: 59.38%] [G loss: 0.960058]\n",
            "3240 [D loss: 0.707258, acc.: 57.81%] [G loss: 0.919204]\n",
            "3241 [D loss: 0.697685, acc.: 53.12%] [G loss: 0.910422]\n",
            "3242 [D loss: 0.625245, acc.: 64.06%] [G loss: 1.093055]\n",
            "3243 [D loss: 0.717074, acc.: 54.69%] [G loss: 0.827225]\n",
            "3244 [D loss: 0.648782, acc.: 54.69%] [G loss: 0.980916]\n",
            "3245 [D loss: 0.711983, acc.: 50.00%] [G loss: 0.964589]\n",
            "3246 [D loss: 0.648943, acc.: 59.38%] [G loss: 1.014832]\n",
            "3247 [D loss: 0.633678, acc.: 60.94%] [G loss: 0.975028]\n",
            "3248 [D loss: 0.699019, acc.: 54.69%] [G loss: 0.761678]\n",
            "3249 [D loss: 0.676817, acc.: 64.06%] [G loss: 0.999417]\n",
            "3250 [D loss: 0.634193, acc.: 64.06%] [G loss: 0.918780]\n",
            "3251 [D loss: 0.588922, acc.: 68.75%] [G loss: 1.018428]\n",
            "3252 [D loss: 0.636457, acc.: 73.44%] [G loss: 1.100588]\n",
            "3253 [D loss: 0.663858, acc.: 60.94%] [G loss: 1.058990]\n",
            "3254 [D loss: 0.565641, acc.: 75.00%] [G loss: 1.072529]\n",
            "3255 [D loss: 0.702997, acc.: 60.94%] [G loss: 1.061657]\n",
            "3256 [D loss: 0.586078, acc.: 71.88%] [G loss: 0.860323]\n",
            "3257 [D loss: 0.718596, acc.: 65.62%] [G loss: 0.881410]\n",
            "3258 [D loss: 0.582809, acc.: 70.31%] [G loss: 1.028962]\n",
            "3259 [D loss: 0.669908, acc.: 60.94%] [G loss: 0.967373]\n",
            "3260 [D loss: 0.695300, acc.: 56.25%] [G loss: 1.080890]\n",
            "3261 [D loss: 0.718014, acc.: 56.25%] [G loss: 0.934584]\n",
            "3262 [D loss: 0.648990, acc.: 68.75%] [G loss: 1.100217]\n",
            "3263 [D loss: 0.670514, acc.: 60.94%] [G loss: 1.101315]\n",
            "3264 [D loss: 0.695055, acc.: 59.38%] [G loss: 0.976270]\n",
            "3265 [D loss: 0.582524, acc.: 65.62%] [G loss: 1.103446]\n",
            "3266 [D loss: 0.647125, acc.: 57.81%] [G loss: 0.977811]\n",
            "3267 [D loss: 0.702541, acc.: 56.25%] [G loss: 0.999491]\n",
            "3268 [D loss: 0.710605, acc.: 51.56%] [G loss: 0.858363]\n",
            "3269 [D loss: 0.666370, acc.: 60.94%] [G loss: 0.950464]\n",
            "3270 [D loss: 0.688805, acc.: 53.12%] [G loss: 0.902847]\n",
            "3271 [D loss: 0.629773, acc.: 67.19%] [G loss: 0.940997]\n",
            "3272 [D loss: 0.643419, acc.: 64.06%] [G loss: 0.957229]\n",
            "3273 [D loss: 0.601686, acc.: 70.31%] [G loss: 0.941166]\n",
            "3274 [D loss: 0.561993, acc.: 67.19%] [G loss: 1.042614]\n",
            "3275 [D loss: 0.611066, acc.: 65.62%] [G loss: 0.945569]\n",
            "3276 [D loss: 0.816322, acc.: 29.69%] [G loss: 0.924691]\n",
            "3277 [D loss: 0.667859, acc.: 56.25%] [G loss: 1.096439]\n",
            "3278 [D loss: 0.623276, acc.: 64.06%] [G loss: 1.066278]\n",
            "3279 [D loss: 0.667674, acc.: 60.94%] [G loss: 0.825246]\n",
            "3280 [D loss: 0.601609, acc.: 70.31%] [G loss: 0.887115]\n",
            "3281 [D loss: 0.633586, acc.: 65.62%] [G loss: 0.923916]\n",
            "3282 [D loss: 0.662971, acc.: 62.50%] [G loss: 0.916778]\n",
            "3283 [D loss: 0.627367, acc.: 65.62%] [G loss: 0.990831]\n",
            "3284 [D loss: 0.643654, acc.: 65.62%] [G loss: 0.883296]\n",
            "3285 [D loss: 0.648707, acc.: 62.50%] [G loss: 0.907305]\n",
            "3286 [D loss: 0.746679, acc.: 45.31%] [G loss: 0.889473]\n",
            "3287 [D loss: 0.669007, acc.: 54.69%] [G loss: 0.945580]\n",
            "3288 [D loss: 0.637193, acc.: 68.75%] [G loss: 0.976263]\n",
            "3289 [D loss: 0.651291, acc.: 64.06%] [G loss: 0.968932]\n",
            "3290 [D loss: 0.683704, acc.: 59.38%] [G loss: 0.999207]\n",
            "3291 [D loss: 0.602804, acc.: 76.56%] [G loss: 1.004397]\n",
            "3292 [D loss: 0.665396, acc.: 57.81%] [G loss: 0.966886]\n",
            "3293 [D loss: 0.679832, acc.: 62.50%] [G loss: 0.972857]\n",
            "3294 [D loss: 0.672563, acc.: 53.12%] [G loss: 1.071464]\n",
            "3295 [D loss: 0.725122, acc.: 50.00%] [G loss: 1.145644]\n",
            "3296 [D loss: 0.585359, acc.: 65.62%] [G loss: 1.132158]\n",
            "3297 [D loss: 0.692832, acc.: 51.56%] [G loss: 0.923349]\n",
            "3298 [D loss: 0.656258, acc.: 60.94%] [G loss: 0.918363]\n",
            "3299 [D loss: 0.732030, acc.: 53.12%] [G loss: 0.904814]\n",
            "3300 [D loss: 0.695223, acc.: 51.56%] [G loss: 0.742573]\n",
            "3301 [D loss: 0.574678, acc.: 76.56%] [G loss: 0.943468]\n",
            "3302 [D loss: 0.658989, acc.: 56.25%] [G loss: 1.116928]\n",
            "3303 [D loss: 0.572669, acc.: 71.88%] [G loss: 0.992568]\n",
            "3304 [D loss: 0.649563, acc.: 57.81%] [G loss: 1.065270]\n",
            "3305 [D loss: 0.641721, acc.: 56.25%] [G loss: 0.933563]\n",
            "3306 [D loss: 0.722283, acc.: 56.25%] [G loss: 1.001293]\n",
            "3307 [D loss: 0.694236, acc.: 60.94%] [G loss: 1.014583]\n",
            "3308 [D loss: 0.666562, acc.: 60.94%] [G loss: 0.932085]\n",
            "3309 [D loss: 0.693645, acc.: 46.88%] [G loss: 0.838428]\n",
            "3310 [D loss: 0.638490, acc.: 65.62%] [G loss: 0.968244]\n",
            "3311 [D loss: 0.657600, acc.: 67.19%] [G loss: 0.972853]\n",
            "3312 [D loss: 0.660226, acc.: 62.50%] [G loss: 0.975262]\n",
            "3313 [D loss: 0.656965, acc.: 60.94%] [G loss: 0.985901]\n",
            "3314 [D loss: 0.574180, acc.: 71.88%] [G loss: 1.036463]\n",
            "3315 [D loss: 0.646141, acc.: 64.06%] [G loss: 0.866711]\n",
            "3316 [D loss: 0.685009, acc.: 54.69%] [G loss: 0.964173]\n",
            "3317 [D loss: 0.635048, acc.: 59.38%] [G loss: 1.035568]\n",
            "3318 [D loss: 0.663504, acc.: 60.94%] [G loss: 0.897089]\n",
            "3319 [D loss: 0.706213, acc.: 56.25%] [G loss: 0.916271]\n",
            "3320 [D loss: 0.614441, acc.: 64.06%] [G loss: 0.940476]\n",
            "3321 [D loss: 0.627336, acc.: 67.19%] [G loss: 1.040268]\n",
            "3322 [D loss: 0.626058, acc.: 62.50%] [G loss: 1.049744]\n",
            "3323 [D loss: 0.683745, acc.: 64.06%] [G loss: 0.903677]\n",
            "3324 [D loss: 0.641945, acc.: 70.31%] [G loss: 1.024474]\n",
            "3325 [D loss: 0.551303, acc.: 76.56%] [G loss: 1.113797]\n",
            "3326 [D loss: 0.654644, acc.: 56.25%] [G loss: 0.978771]\n",
            "3327 [D loss: 0.714998, acc.: 53.12%] [G loss: 0.951588]\n",
            "3328 [D loss: 0.642165, acc.: 64.06%] [G loss: 0.983877]\n",
            "3329 [D loss: 0.662841, acc.: 57.81%] [G loss: 1.012604]\n",
            "3330 [D loss: 0.669503, acc.: 57.81%] [G loss: 0.882687]\n",
            "3331 [D loss: 0.688376, acc.: 54.69%] [G loss: 0.939619]\n",
            "3332 [D loss: 0.614654, acc.: 60.94%] [G loss: 1.068986]\n",
            "3333 [D loss: 0.728165, acc.: 51.56%] [G loss: 0.927436]\n",
            "3334 [D loss: 0.573308, acc.: 73.44%] [G loss: 0.946473]\n",
            "3335 [D loss: 0.740639, acc.: 45.31%] [G loss: 0.974877]\n",
            "3336 [D loss: 0.654432, acc.: 62.50%] [G loss: 0.901679]\n",
            "3337 [D loss: 0.680332, acc.: 62.50%] [G loss: 0.988217]\n",
            "3338 [D loss: 0.659320, acc.: 64.06%] [G loss: 1.026014]\n",
            "3339 [D loss: 0.673794, acc.: 56.25%] [G loss: 0.969026]\n",
            "3340 [D loss: 0.700015, acc.: 54.69%] [G loss: 1.044695]\n",
            "3341 [D loss: 0.771658, acc.: 50.00%] [G loss: 0.968306]\n",
            "3342 [D loss: 0.681222, acc.: 59.38%] [G loss: 1.084711]\n",
            "3343 [D loss: 0.657066, acc.: 60.94%] [G loss: 0.970837]\n",
            "3344 [D loss: 0.682296, acc.: 60.94%] [G loss: 0.880043]\n",
            "3345 [D loss: 0.639034, acc.: 70.31%] [G loss: 1.095209]\n",
            "3346 [D loss: 0.656826, acc.: 54.69%] [G loss: 0.992870]\n",
            "3347 [D loss: 0.614282, acc.: 70.31%] [G loss: 0.910605]\n",
            "3348 [D loss: 0.660619, acc.: 57.81%] [G loss: 0.837015]\n",
            "3349 [D loss: 0.681514, acc.: 57.81%] [G loss: 0.986796]\n",
            "3350 [D loss: 0.623944, acc.: 65.62%] [G loss: 0.972998]\n",
            "3351 [D loss: 0.597870, acc.: 71.88%] [G loss: 1.179133]\n",
            "3352 [D loss: 0.742503, acc.: 45.31%] [G loss: 0.978670]\n",
            "3353 [D loss: 0.640351, acc.: 67.19%] [G loss: 1.027796]\n",
            "3354 [D loss: 0.813231, acc.: 46.88%] [G loss: 0.881386]\n",
            "3355 [D loss: 0.668649, acc.: 59.38%] [G loss: 0.900839]\n",
            "3356 [D loss: 0.607280, acc.: 68.75%] [G loss: 1.035721]\n",
            "3357 [D loss: 0.572905, acc.: 70.31%] [G loss: 1.152900]\n",
            "3358 [D loss: 0.630131, acc.: 65.62%] [G loss: 0.985113]\n",
            "3359 [D loss: 0.623937, acc.: 60.94%] [G loss: 1.118072]\n",
            "3360 [D loss: 0.629497, acc.: 71.88%] [G loss: 1.022160]\n",
            "3361 [D loss: 0.704170, acc.: 56.25%] [G loss: 0.882392]\n",
            "3362 [D loss: 0.810041, acc.: 37.50%] [G loss: 0.883459]\n",
            "3363 [D loss: 0.657408, acc.: 60.94%] [G loss: 0.835018]\n",
            "3364 [D loss: 0.611059, acc.: 67.19%] [G loss: 1.008201]\n",
            "3365 [D loss: 0.628689, acc.: 70.31%] [G loss: 1.158833]\n",
            "3366 [D loss: 0.637093, acc.: 59.38%] [G loss: 0.960756]\n",
            "3367 [D loss: 0.712635, acc.: 57.81%] [G loss: 1.003642]\n",
            "3368 [D loss: 0.575043, acc.: 73.44%] [G loss: 1.024874]\n",
            "3369 [D loss: 0.716927, acc.: 57.81%] [G loss: 0.999939]\n",
            "3370 [D loss: 0.682568, acc.: 60.94%] [G loss: 0.973959]\n",
            "3371 [D loss: 0.640985, acc.: 64.06%] [G loss: 1.088337]\n",
            "3372 [D loss: 0.663643, acc.: 64.06%] [G loss: 0.862809]\n",
            "3373 [D loss: 0.620136, acc.: 68.75%] [G loss: 0.900559]\n",
            "3374 [D loss: 0.683674, acc.: 57.81%] [G loss: 0.804702]\n",
            "3375 [D loss: 0.766984, acc.: 43.75%] [G loss: 1.058238]\n",
            "3376 [D loss: 0.644812, acc.: 59.38%] [G loss: 0.903877]\n",
            "3377 [D loss: 0.737140, acc.: 46.88%] [G loss: 0.959666]\n",
            "3378 [D loss: 0.630797, acc.: 68.75%] [G loss: 0.960101]\n",
            "3379 [D loss: 0.814499, acc.: 35.94%] [G loss: 0.946677]\n",
            "3380 [D loss: 0.736533, acc.: 53.12%] [G loss: 0.944049]\n",
            "3381 [D loss: 0.672713, acc.: 57.81%] [G loss: 0.885144]\n",
            "3382 [D loss: 0.656617, acc.: 51.56%] [G loss: 1.021576]\n",
            "3383 [D loss: 0.774517, acc.: 43.75%] [G loss: 0.977446]\n",
            "3384 [D loss: 0.681018, acc.: 59.38%] [G loss: 1.090139]\n",
            "3385 [D loss: 0.710648, acc.: 53.12%] [G loss: 0.916060]\n",
            "3386 [D loss: 0.693522, acc.: 51.56%] [G loss: 0.941649]\n",
            "3387 [D loss: 0.655935, acc.: 56.25%] [G loss: 0.886228]\n",
            "3388 [D loss: 0.695555, acc.: 57.81%] [G loss: 0.940566]\n",
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            "3390 [D loss: 0.647791, acc.: 60.94%] [G loss: 1.039341]\n",
            "3391 [D loss: 0.564321, acc.: 76.56%] [G loss: 0.998254]\n",
            "3392 [D loss: 0.610194, acc.: 71.88%] [G loss: 0.970892]\n",
            "3393 [D loss: 0.693574, acc.: 57.81%] [G loss: 0.854034]\n",
            "3394 [D loss: 0.616151, acc.: 64.06%] [G loss: 0.987303]\n",
            "3395 [D loss: 0.626415, acc.: 64.06%] [G loss: 0.832577]\n",
            "3396 [D loss: 0.627733, acc.: 64.06%] [G loss: 0.965406]\n",
            "3397 [D loss: 0.614267, acc.: 68.75%] [G loss: 0.901888]\n",
            "3398 [D loss: 0.663129, acc.: 60.94%] [G loss: 0.984669]\n",
            "3399 [D loss: 0.690127, acc.: 54.69%] [G loss: 0.955653]\n",
            "3400 [D loss: 0.678139, acc.: 50.00%] [G loss: 1.087198]\n",
            "3401 [D loss: 0.605703, acc.: 75.00%] [G loss: 0.969075]\n",
            "3402 [D loss: 0.567285, acc.: 75.00%] [G loss: 0.969535]\n",
            "3403 [D loss: 0.639589, acc.: 73.44%] [G loss: 0.866495]\n",
            "3404 [D loss: 0.731077, acc.: 50.00%] [G loss: 0.858542]\n",
            "3405 [D loss: 0.613005, acc.: 65.62%] [G loss: 1.002233]\n",
            "3406 [D loss: 0.740598, acc.: 56.25%] [G loss: 0.975959]\n",
            "3407 [D loss: 0.702903, acc.: 56.25%] [G loss: 0.998447]\n",
            "3408 [D loss: 0.684503, acc.: 56.25%] [G loss: 0.972730]\n",
            "3409 [D loss: 0.663490, acc.: 67.19%] [G loss: 1.014859]\n",
            "3410 [D loss: 0.717415, acc.: 53.12%] [G loss: 0.925321]\n",
            "3411 [D loss: 0.607444, acc.: 60.94%] [G loss: 0.896465]\n",
            "3412 [D loss: 0.680954, acc.: 53.12%] [G loss: 1.094279]\n",
            "3413 [D loss: 0.657961, acc.: 59.38%] [G loss: 1.055309]\n",
            "3414 [D loss: 0.624915, acc.: 67.19%] [G loss: 0.916168]\n",
            "3415 [D loss: 0.651012, acc.: 62.50%] [G loss: 1.018161]\n",
            "3416 [D loss: 0.748705, acc.: 56.25%] [G loss: 1.009778]\n",
            "3417 [D loss: 0.723742, acc.: 54.69%] [G loss: 0.841918]\n",
            "3418 [D loss: 0.670468, acc.: 59.38%] [G loss: 0.951898]\n",
            "3419 [D loss: 0.605312, acc.: 64.06%] [G loss: 1.135067]\n",
            "3420 [D loss: 0.712902, acc.: 53.12%] [G loss: 0.989799]\n",
            "3421 [D loss: 0.577508, acc.: 70.31%] [G loss: 0.945154]\n",
            "3422 [D loss: 0.651813, acc.: 60.94%] [G loss: 0.964577]\n",
            "3423 [D loss: 0.740276, acc.: 48.44%] [G loss: 0.944169]\n",
            "3424 [D loss: 0.666328, acc.: 62.50%] [G loss: 1.022438]\n",
            "3425 [D loss: 0.788683, acc.: 39.06%] [G loss: 0.984423]\n",
            "3426 [D loss: 0.611861, acc.: 64.06%] [G loss: 0.887038]\n",
            "3427 [D loss: 0.667636, acc.: 59.38%] [G loss: 1.086602]\n",
            "3428 [D loss: 0.605121, acc.: 68.75%] [G loss: 0.868323]\n",
            "3429 [D loss: 0.667955, acc.: 64.06%] [G loss: 1.002191]\n",
            "3430 [D loss: 0.640200, acc.: 60.94%] [G loss: 1.112439]\n",
            "3431 [D loss: 0.610876, acc.: 73.44%] [G loss: 0.868342]\n",
            "3432 [D loss: 0.580346, acc.: 71.88%] [G loss: 1.096519]\n",
            "3433 [D loss: 0.678050, acc.: 68.75%] [G loss: 1.157965]\n",
            "3434 [D loss: 0.721517, acc.: 60.94%] [G loss: 0.933642]\n",
            "3435 [D loss: 0.765515, acc.: 45.31%] [G loss: 0.988803]\n",
            "3436 [D loss: 0.604203, acc.: 73.44%] [G loss: 0.885078]\n",
            "3437 [D loss: 0.652493, acc.: 59.38%] [G loss: 0.883881]\n",
            "3438 [D loss: 0.668559, acc.: 62.50%] [G loss: 0.938019]\n",
            "3439 [D loss: 0.645715, acc.: 60.94%] [G loss: 1.081806]\n",
            "3440 [D loss: 0.689312, acc.: 56.25%] [G loss: 1.010886]\n",
            "3441 [D loss: 0.690713, acc.: 57.81%] [G loss: 0.977341]\n",
            "3442 [D loss: 0.642429, acc.: 64.06%] [G loss: 0.854251]\n",
            "3443 [D loss: 0.697125, acc.: 54.69%] [G loss: 0.879938]\n",
            "3444 [D loss: 0.777384, acc.: 39.06%] [G loss: 0.850083]\n",
            "3445 [D loss: 0.705671, acc.: 60.94%] [G loss: 0.995355]\n",
            "3446 [D loss: 0.686051, acc.: 57.81%] [G loss: 0.931187]\n",
            "3447 [D loss: 0.778906, acc.: 42.19%] [G loss: 0.859952]\n",
            "3448 [D loss: 0.699559, acc.: 51.56%] [G loss: 0.847991]\n",
            "3449 [D loss: 0.602859, acc.: 70.31%] [G loss: 0.819000]\n",
            "3450 [D loss: 0.616429, acc.: 70.31%] [G loss: 1.027219]\n",
            "3451 [D loss: 0.698475, acc.: 62.50%] [G loss: 0.996881]\n",
            "3452 [D loss: 0.740883, acc.: 62.50%] [G loss: 1.012000]\n",
            "3453 [D loss: 0.703214, acc.: 53.12%] [G loss: 1.015929]\n",
            "3454 [D loss: 0.734676, acc.: 48.44%] [G loss: 1.168833]\n",
            "3455 [D loss: 0.641781, acc.: 54.69%] [G loss: 1.064929]\n",
            "3456 [D loss: 0.649741, acc.: 64.06%] [G loss: 1.089730]\n",
            "3457 [D loss: 0.654288, acc.: 57.81%] [G loss: 1.042596]\n",
            "3458 [D loss: 0.694103, acc.: 59.38%] [G loss: 0.791188]\n",
            "3459 [D loss: 0.695399, acc.: 53.12%] [G loss: 0.969051]\n",
            "3460 [D loss: 0.689900, acc.: 57.81%] [G loss: 0.856046]\n",
            "3461 [D loss: 0.581935, acc.: 70.31%] [G loss: 1.036594]\n",
            "3462 [D loss: 0.682235, acc.: 64.06%] [G loss: 0.917672]\n",
            "3463 [D loss: 0.660934, acc.: 62.50%] [G loss: 0.991120]\n",
            "3464 [D loss: 0.675969, acc.: 56.25%] [G loss: 1.140317]\n",
            "3465 [D loss: 0.714285, acc.: 53.12%] [G loss: 1.029415]\n",
            "3466 [D loss: 0.638613, acc.: 62.50%] [G loss: 0.950027]\n",
            "3467 [D loss: 0.699193, acc.: 54.69%] [G loss: 0.976918]\n",
            "3468 [D loss: 0.744952, acc.: 48.44%] [G loss: 0.827238]\n",
            "3469 [D loss: 0.692854, acc.: 56.25%] [G loss: 1.072113]\n",
            "3470 [D loss: 0.660648, acc.: 57.81%] [G loss: 0.918121]\n",
            "3471 [D loss: 0.688774, acc.: 57.81%] [G loss: 1.028790]\n",
            "3472 [D loss: 0.773231, acc.: 46.88%] [G loss: 0.857015]\n",
            "3473 [D loss: 0.680050, acc.: 57.81%] [G loss: 0.989961]\n",
            "3474 [D loss: 0.711561, acc.: 62.50%] [G loss: 0.995676]\n",
            "3475 [D loss: 0.645211, acc.: 60.94%] [G loss: 1.014799]\n",
            "3476 [D loss: 0.709103, acc.: 53.12%] [G loss: 0.846415]\n",
            "3477 [D loss: 0.652517, acc.: 57.81%] [G loss: 0.915776]\n",
            "3478 [D loss: 0.686527, acc.: 57.81%] [G loss: 0.958524]\n",
            "3479 [D loss: 0.702056, acc.: 53.12%] [G loss: 0.932942]\n",
            "3480 [D loss: 0.657940, acc.: 64.06%] [G loss: 1.106316]\n",
            "3481 [D loss: 0.645269, acc.: 60.94%] [G loss: 0.802662]\n",
            "3482 [D loss: 0.700272, acc.: 57.81%] [G loss: 0.912885]\n",
            "3483 [D loss: 0.623414, acc.: 65.62%] [G loss: 1.037225]\n",
            "3484 [D loss: 0.642231, acc.: 59.38%] [G loss: 1.106371]\n",
            "3485 [D loss: 0.659029, acc.: 51.56%] [G loss: 1.089462]\n",
            "3486 [D loss: 0.593373, acc.: 71.88%] [G loss: 1.110945]\n",
            "3487 [D loss: 0.713978, acc.: 50.00%] [G loss: 0.913227]\n",
            "3488 [D loss: 0.664727, acc.: 62.50%] [G loss: 1.013662]\n",
            "3489 [D loss: 0.620056, acc.: 65.62%] [G loss: 1.008521]\n",
            "3490 [D loss: 0.700264, acc.: 54.69%] [G loss: 0.967051]\n",
            "3491 [D loss: 0.602927, acc.: 60.94%] [G loss: 1.173759]\n",
            "3492 [D loss: 0.648947, acc.: 62.50%] [G loss: 1.008439]\n",
            "3493 [D loss: 0.717724, acc.: 46.88%] [G loss: 0.855792]\n",
            "3494 [D loss: 0.658290, acc.: 62.50%] [G loss: 0.807765]\n",
            "3495 [D loss: 0.636250, acc.: 64.06%] [G loss: 1.060582]\n",
            "3496 [D loss: 0.655406, acc.: 60.94%] [G loss: 0.930285]\n",
            "3497 [D loss: 0.576003, acc.: 76.56%] [G loss: 1.027100]\n",
            "3498 [D loss: 0.563084, acc.: 75.00%] [G loss: 0.964817]\n",
            "3499 [D loss: 0.684938, acc.: 53.12%] [G loss: 1.079989]\n",
            "3500 [D loss: 0.674668, acc.: 59.38%] [G loss: 0.938299]\n",
            "3501 [D loss: 0.720581, acc.: 54.69%] [G loss: 1.027564]\n",
            "3502 [D loss: 0.657532, acc.: 56.25%] [G loss: 0.998206]\n",
            "3503 [D loss: 0.653063, acc.: 64.06%] [G loss: 0.928715]\n",
            "3504 [D loss: 0.628260, acc.: 65.62%] [G loss: 0.953237]\n",
            "3505 [D loss: 0.669598, acc.: 57.81%] [G loss: 0.882904]\n",
            "3506 [D loss: 0.572575, acc.: 70.31%] [G loss: 0.928245]\n",
            "3507 [D loss: 0.651730, acc.: 67.19%] [G loss: 0.996097]\n",
            "3508 [D loss: 0.624373, acc.: 64.06%] [G loss: 0.945017]\n",
            "3509 [D loss: 0.663308, acc.: 60.94%] [G loss: 0.959848]\n",
            "3510 [D loss: 0.703033, acc.: 53.12%] [G loss: 0.896778]\n",
            "3511 [D loss: 0.714505, acc.: 57.81%] [G loss: 0.852655]\n",
            "3512 [D loss: 0.704041, acc.: 54.69%] [G loss: 0.939071]\n",
            "3513 [D loss: 0.674021, acc.: 62.50%] [G loss: 1.033812]\n",
            "3514 [D loss: 0.595423, acc.: 71.88%] [G loss: 0.994850]\n",
            "3515 [D loss: 0.675418, acc.: 57.81%] [G loss: 0.976441]\n",
            "3516 [D loss: 0.639321, acc.: 65.62%] [G loss: 0.882798]\n",
            "3517 [D loss: 0.592529, acc.: 70.31%] [G loss: 0.976431]\n",
            "3518 [D loss: 0.614490, acc.: 73.44%] [G loss: 0.899686]\n",
            "3519 [D loss: 0.700008, acc.: 57.81%] [G loss: 0.958429]\n",
            "3520 [D loss: 0.698129, acc.: 51.56%] [G loss: 0.909333]\n",
            "3521 [D loss: 0.687751, acc.: 53.12%] [G loss: 0.876380]\n",
            "3522 [D loss: 0.697165, acc.: 57.81%] [G loss: 0.984800]\n",
            "3523 [D loss: 0.774643, acc.: 54.69%] [G loss: 0.786376]\n",
            "3524 [D loss: 0.657303, acc.: 59.38%] [G loss: 1.021748]\n",
            "3525 [D loss: 0.728793, acc.: 51.56%] [G loss: 0.924457]\n",
            "3526 [D loss: 0.722405, acc.: 59.38%] [G loss: 1.001045]\n",
            "3527 [D loss: 0.645439, acc.: 57.81%] [G loss: 1.088396]\n",
            "3528 [D loss: 0.736436, acc.: 56.25%] [G loss: 0.930547]\n",
            "3529 [D loss: 0.666708, acc.: 54.69%] [G loss: 1.030781]\n",
            "3530 [D loss: 0.609326, acc.: 67.19%] [G loss: 0.994958]\n",
            "3531 [D loss: 0.619839, acc.: 65.62%] [G loss: 1.099411]\n",
            "3532 [D loss: 0.698574, acc.: 51.56%] [G loss: 0.977611]\n",
            "3533 [D loss: 0.738607, acc.: 48.44%] [G loss: 0.887244]\n",
            "3534 [D loss: 0.632899, acc.: 60.94%] [G loss: 0.910614]\n",
            "3535 [D loss: 0.706151, acc.: 60.94%] [G loss: 0.910120]\n",
            "3536 [D loss: 0.768925, acc.: 45.31%] [G loss: 0.917894]\n",
            "3537 [D loss: 0.670297, acc.: 62.50%] [G loss: 0.817506]\n",
            "3538 [D loss: 0.732653, acc.: 50.00%] [G loss: 0.956439]\n",
            "3539 [D loss: 0.659154, acc.: 57.81%] [G loss: 1.014026]\n",
            "3540 [D loss: 0.607167, acc.: 70.31%] [G loss: 1.059288]\n",
            "3541 [D loss: 0.601807, acc.: 68.75%] [G loss: 0.871338]\n",
            "3542 [D loss: 0.814355, acc.: 37.50%] [G loss: 0.862222]\n",
            "3543 [D loss: 0.693007, acc.: 59.38%] [G loss: 1.062155]\n",
            "3544 [D loss: 0.647217, acc.: 57.81%] [G loss: 0.860601]\n",
            "3545 [D loss: 0.626295, acc.: 65.62%] [G loss: 1.088502]\n",
            "3546 [D loss: 0.629513, acc.: 62.50%] [G loss: 1.136026]\n",
            "3547 [D loss: 0.610318, acc.: 67.19%] [G loss: 1.055259]\n",
            "3548 [D loss: 0.695942, acc.: 51.56%] [G loss: 1.027357]\n",
            "3549 [D loss: 0.637323, acc.: 65.62%] [G loss: 0.989973]\n",
            "3550 [D loss: 0.665090, acc.: 59.38%] [G loss: 1.047715]\n",
            "3551 [D loss: 0.659989, acc.: 65.62%] [G loss: 0.911522]\n",
            "3552 [D loss: 0.667996, acc.: 54.69%] [G loss: 1.077756]\n",
            "3553 [D loss: 0.729361, acc.: 54.69%] [G loss: 1.056331]\n",
            "3554 [D loss: 0.634524, acc.: 54.69%] [G loss: 0.822556]\n",
            "3555 [D loss: 0.658652, acc.: 59.38%] [G loss: 1.016284]\n",
            "3556 [D loss: 0.605359, acc.: 73.44%] [G loss: 1.001294]\n",
            "3557 [D loss: 0.775519, acc.: 45.31%] [G loss: 0.877527]\n",
            "3558 [D loss: 0.647895, acc.: 65.62%] [G loss: 0.916922]\n",
            "3559 [D loss: 0.735411, acc.: 50.00%] [G loss: 0.865764]\n",
            "3560 [D loss: 0.624919, acc.: 71.88%] [G loss: 1.038509]\n",
            "3561 [D loss: 0.682776, acc.: 64.06%] [G loss: 0.919893]\n",
            "3562 [D loss: 0.652027, acc.: 60.94%] [G loss: 0.971378]\n",
            "3563 [D loss: 0.673730, acc.: 62.50%] [G loss: 1.085103]\n",
            "3564 [D loss: 0.697840, acc.: 57.81%] [G loss: 0.996339]\n",
            "3565 [D loss: 0.654223, acc.: 57.81%] [G loss: 0.928980]\n",
            "3566 [D loss: 0.727572, acc.: 48.44%] [G loss: 0.987121]\n",
            "3567 [D loss: 0.767660, acc.: 40.62%] [G loss: 1.132649]\n",
            "3568 [D loss: 0.789771, acc.: 37.50%] [G loss: 0.838777]\n",
            "3569 [D loss: 0.633716, acc.: 64.06%] [G loss: 1.081837]\n",
            "3570 [D loss: 0.653321, acc.: 65.62%] [G loss: 1.161888]\n",
            "3571 [D loss: 0.650640, acc.: 60.94%] [G loss: 1.070962]\n",
            "3572 [D loss: 0.690077, acc.: 60.94%] [G loss: 1.140645]\n",
            "3573 [D loss: 0.692393, acc.: 56.25%] [G loss: 1.039861]\n",
            "3574 [D loss: 0.675687, acc.: 60.94%] [G loss: 0.873086]\n",
            "3575 [D loss: 0.670999, acc.: 53.12%] [G loss: 0.963022]\n",
            "3576 [D loss: 0.673684, acc.: 62.50%] [G loss: 0.982009]\n",
            "3577 [D loss: 0.629754, acc.: 64.06%] [G loss: 0.853403]\n",
            "3578 [D loss: 0.671525, acc.: 57.81%] [G loss: 0.969219]\n",
            "3579 [D loss: 0.578651, acc.: 70.31%] [G loss: 1.025567]\n",
            "3580 [D loss: 0.784742, acc.: 51.56%] [G loss: 0.813256]\n",
            "3581 [D loss: 0.703866, acc.: 53.12%] [G loss: 0.839639]\n",
            "3582 [D loss: 0.669561, acc.: 53.12%] [G loss: 0.945095]\n",
            "3583 [D loss: 0.624862, acc.: 62.50%] [G loss: 1.077689]\n",
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            "3585 [D loss: 0.697132, acc.: 51.56%] [G loss: 1.039693]\n",
            "3586 [D loss: 0.691310, acc.: 53.12%] [G loss: 0.979096]\n",
            "3587 [D loss: 0.730700, acc.: 51.56%] [G loss: 1.028602]\n",
            "3588 [D loss: 0.637719, acc.: 68.75%] [G loss: 0.867557]\n",
            "3589 [D loss: 0.604495, acc.: 67.19%] [G loss: 1.010548]\n",
            "3590 [D loss: 0.739389, acc.: 51.56%] [G loss: 0.957598]\n",
            "3591 [D loss: 0.715663, acc.: 62.50%] [G loss: 0.823910]\n",
            "3592 [D loss: 0.661608, acc.: 59.38%] [G loss: 0.997693]\n",
            "3593 [D loss: 0.588270, acc.: 75.00%] [G loss: 0.994441]\n",
            "3594 [D loss: 0.629297, acc.: 59.38%] [G loss: 0.969862]\n",
            "3595 [D loss: 0.667217, acc.: 57.81%] [G loss: 1.009633]\n",
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            "3598 [D loss: 0.756980, acc.: 54.69%] [G loss: 0.947840]\n",
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            "3601 [D loss: 0.629624, acc.: 68.75%] [G loss: 0.928261]\n",
            "3602 [D loss: 0.657470, acc.: 57.81%] [G loss: 0.979111]\n",
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            "3604 [D loss: 0.611223, acc.: 68.75%] [G loss: 0.970512]\n",
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            "3607 [D loss: 0.630054, acc.: 68.75%] [G loss: 0.963579]\n",
            "3608 [D loss: 0.698936, acc.: 65.62%] [G loss: 0.982011]\n",
            "3609 [D loss: 0.690766, acc.: 53.12%] [G loss: 0.942846]\n",
            "3610 [D loss: 0.696595, acc.: 54.69%] [G loss: 0.888198]\n",
            "3611 [D loss: 0.586828, acc.: 73.44%] [G loss: 1.152788]\n",
            "3612 [D loss: 0.605826, acc.: 67.19%] [G loss: 1.111058]\n",
            "3613 [D loss: 0.654152, acc.: 60.94%] [G loss: 0.969956]\n",
            "3614 [D loss: 0.663731, acc.: 64.06%] [G loss: 0.962602]\n",
            "3615 [D loss: 0.793236, acc.: 46.88%] [G loss: 0.828160]\n",
            "3616 [D loss: 0.708006, acc.: 53.12%] [G loss: 1.044986]\n",
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            "3619 [D loss: 0.710982, acc.: 57.81%] [G loss: 0.951055]\n",
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            "3621 [D loss: 0.654118, acc.: 64.06%] [G loss: 0.968391]\n",
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            "3623 [D loss: 0.711274, acc.: 51.56%] [G loss: 0.940008]\n",
            "3624 [D loss: 0.583195, acc.: 71.88%] [G loss: 0.941026]\n",
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            "3630 [D loss: 0.629745, acc.: 67.19%] [G loss: 1.024551]\n",
            "3631 [D loss: 0.654278, acc.: 60.94%] [G loss: 0.977589]\n",
            "3632 [D loss: 0.770826, acc.: 46.88%] [G loss: 0.962900]\n",
            "3633 [D loss: 0.668578, acc.: 59.38%] [G loss: 0.854455]\n",
            "3634 [D loss: 0.696355, acc.: 51.56%] [G loss: 1.044009]\n",
            "3635 [D loss: 0.639644, acc.: 68.75%] [G loss: 1.049760]\n",
            "3636 [D loss: 0.653879, acc.: 64.06%] [G loss: 0.945675]\n",
            "3637 [D loss: 0.784581, acc.: 39.06%] [G loss: 0.894607]\n",
            "3638 [D loss: 0.637701, acc.: 60.94%] [G loss: 1.006354]\n",
            "3639 [D loss: 0.619728, acc.: 68.75%] [G loss: 1.073604]\n",
            "3640 [D loss: 0.644463, acc.: 54.69%] [G loss: 0.940718]\n",
            "3641 [D loss: 0.645672, acc.: 60.94%] [G loss: 0.947831]\n",
            "3642 [D loss: 0.645937, acc.: 62.50%] [G loss: 0.949979]\n",
            "3643 [D loss: 0.720832, acc.: 54.69%] [G loss: 0.956010]\n",
            "3644 [D loss: 0.582654, acc.: 70.31%] [G loss: 0.965345]\n",
            "3645 [D loss: 0.794927, acc.: 46.88%] [G loss: 0.968096]\n",
            "3646 [D loss: 0.751974, acc.: 50.00%] [G loss: 0.923873]\n",
            "3647 [D loss: 0.634733, acc.: 64.06%] [G loss: 0.970529]\n",
            "3648 [D loss: 0.505775, acc.: 82.81%] [G loss: 1.067826]\n",
            "3649 [D loss: 0.692921, acc.: 53.12%] [G loss: 1.001133]\n",
            "3650 [D loss: 0.709592, acc.: 57.81%] [G loss: 0.850673]\n",
            "3651 [D loss: 0.652393, acc.: 54.69%] [G loss: 0.890923]\n",
            "3652 [D loss: 0.666667, acc.: 60.94%] [G loss: 0.761334]\n",
            "3653 [D loss: 0.723295, acc.: 59.38%] [G loss: 0.956330]\n",
            "3654 [D loss: 0.645972, acc.: 60.94%] [G loss: 1.142766]\n",
            "3655 [D loss: 0.663572, acc.: 62.50%] [G loss: 1.034802]\n",
            "3656 [D loss: 0.661548, acc.: 65.62%] [G loss: 1.069719]\n",
            "3657 [D loss: 0.705621, acc.: 57.81%] [G loss: 0.995310]\n",
            "3658 [D loss: 0.668538, acc.: 64.06%] [G loss: 0.985820]\n",
            "3659 [D loss: 0.595263, acc.: 68.75%] [G loss: 1.019282]\n",
            "3660 [D loss: 0.674784, acc.: 57.81%] [G loss: 0.991645]\n",
            "3661 [D loss: 0.546462, acc.: 71.88%] [G loss: 0.969688]\n",
            "3662 [D loss: 0.604793, acc.: 67.19%] [G loss: 0.921234]\n",
            "3663 [D loss: 0.634047, acc.: 64.06%] [G loss: 0.984133]\n",
            "3664 [D loss: 0.598072, acc.: 68.75%] [G loss: 1.059368]\n",
            "3665 [D loss: 0.599203, acc.: 68.75%] [G loss: 1.111100]\n",
            "3666 [D loss: 0.691768, acc.: 60.94%] [G loss: 1.017903]\n",
            "3667 [D loss: 0.603700, acc.: 62.50%] [G loss: 1.064510]\n",
            "3668 [D loss: 0.698799, acc.: 54.69%] [G loss: 0.872470]\n",
            "3669 [D loss: 0.599424, acc.: 71.88%] [G loss: 0.936612]\n",
            "3670 [D loss: 0.639974, acc.: 70.31%] [G loss: 0.948452]\n",
            "3671 [D loss: 0.667379, acc.: 59.38%] [G loss: 0.926388]\n",
            "3672 [D loss: 0.694980, acc.: 56.25%] [G loss: 0.923704]\n",
            "3673 [D loss: 0.611681, acc.: 78.12%] [G loss: 0.994939]\n",
            "3674 [D loss: 0.768893, acc.: 45.31%] [G loss: 0.896267]\n",
            "3675 [D loss: 0.641446, acc.: 68.75%] [G loss: 0.836970]\n",
            "3676 [D loss: 0.551020, acc.: 73.44%] [G loss: 0.992920]\n",
            "3677 [D loss: 0.651777, acc.: 60.94%] [G loss: 0.870097]\n",
            "3678 [D loss: 0.591146, acc.: 65.62%] [G loss: 0.922987]\n",
            "3679 [D loss: 0.656957, acc.: 56.25%] [G loss: 1.045094]\n",
            "3680 [D loss: 0.729091, acc.: 56.25%] [G loss: 1.028666]\n",
            "3681 [D loss: 0.711303, acc.: 59.38%] [G loss: 0.981349]\n",
            "3682 [D loss: 0.646728, acc.: 60.94%] [G loss: 0.879188]\n",
            "3683 [D loss: 0.641333, acc.: 68.75%] [G loss: 1.024939]\n",
            "3684 [D loss: 0.670422, acc.: 59.38%] [G loss: 1.173247]\n",
            "3685 [D loss: 0.733774, acc.: 46.88%] [G loss: 1.009569]\n",
            "3686 [D loss: 0.694693, acc.: 54.69%] [G loss: 0.971378]\n",
            "3687 [D loss: 0.661731, acc.: 60.94%] [G loss: 0.918565]\n",
            "3688 [D loss: 0.665193, acc.: 62.50%] [G loss: 0.984810]\n",
            "3689 [D loss: 0.640256, acc.: 57.81%] [G loss: 0.900284]\n",
            "3690 [D loss: 0.592547, acc.: 71.88%] [G loss: 0.957205]\n",
            "3691 [D loss: 0.611562, acc.: 64.06%] [G loss: 1.054740]\n",
            "3692 [D loss: 0.740222, acc.: 48.44%] [G loss: 0.995365]\n",
            "3693 [D loss: 0.715584, acc.: 53.12%] [G loss: 0.954487]\n",
            "3694 [D loss: 0.646051, acc.: 59.38%] [G loss: 0.879964]\n",
            "3695 [D loss: 0.652146, acc.: 70.31%] [G loss: 0.929165]\n",
            "3696 [D loss: 0.810511, acc.: 40.62%] [G loss: 0.820693]\n",
            "3697 [D loss: 0.758270, acc.: 46.88%] [G loss: 1.068082]\n",
            "3698 [D loss: 0.667066, acc.: 56.25%] [G loss: 0.901881]\n",
            "3699 [D loss: 0.630924, acc.: 64.06%] [G loss: 1.047294]\n",
            "3700 [D loss: 0.637674, acc.: 62.50%] [G loss: 0.967370]\n",
            "3701 [D loss: 0.578618, acc.: 73.44%] [G loss: 0.964123]\n",
            "3702 [D loss: 0.587852, acc.: 75.00%] [G loss: 1.025919]\n",
            "3703 [D loss: 0.689594, acc.: 51.56%] [G loss: 0.953083]\n",
            "3704 [D loss: 0.675457, acc.: 54.69%] [G loss: 0.882533]\n",
            "3705 [D loss: 0.802454, acc.: 48.44%] [G loss: 0.858376]\n",
            "3706 [D loss: 0.695543, acc.: 60.94%] [G loss: 0.987539]\n",
            "3707 [D loss: 0.657324, acc.: 57.81%] [G loss: 1.017827]\n",
            "3708 [D loss: 0.650445, acc.: 59.38%] [G loss: 0.922211]\n",
            "3709 [D loss: 0.639423, acc.: 62.50%] [G loss: 1.018592]\n",
            "3710 [D loss: 0.678257, acc.: 59.38%] [G loss: 0.920870]\n",
            "3711 [D loss: 0.719273, acc.: 54.69%] [G loss: 0.848704]\n",
            "3712 [D loss: 0.656339, acc.: 59.38%] [G loss: 1.173165]\n",
            "3713 [D loss: 0.701616, acc.: 51.56%] [G loss: 1.047481]\n",
            "3714 [D loss: 0.675388, acc.: 65.62%] [G loss: 0.953818]\n",
            "3715 [D loss: 0.703963, acc.: 57.81%] [G loss: 0.755576]\n",
            "3716 [D loss: 0.590642, acc.: 71.88%] [G loss: 1.032636]\n",
            "3717 [D loss: 0.621972, acc.: 65.62%] [G loss: 1.281072]\n",
            "3718 [D loss: 0.637644, acc.: 67.19%] [G loss: 1.103457]\n",
            "3719 [D loss: 0.587339, acc.: 65.62%] [G loss: 1.110630]\n",
            "3720 [D loss: 0.696790, acc.: 64.06%] [G loss: 0.873254]\n",
            "3721 [D loss: 0.685370, acc.: 62.50%] [G loss: 0.893710]\n",
            "3722 [D loss: 0.711105, acc.: 46.88%] [G loss: 0.832811]\n",
            "3723 [D loss: 0.703193, acc.: 54.69%] [G loss: 0.947601]\n",
            "3724 [D loss: 0.674843, acc.: 53.12%] [G loss: 0.849581]\n",
            "3725 [D loss: 0.698553, acc.: 56.25%] [G loss: 1.116966]\n",
            "3726 [D loss: 0.587943, acc.: 65.62%] [G loss: 0.990782]\n",
            "3727 [D loss: 0.771051, acc.: 54.69%] [G loss: 0.847980]\n",
            "3728 [D loss: 0.784117, acc.: 42.19%] [G loss: 0.836451]\n",
            "3729 [D loss: 0.639919, acc.: 64.06%] [G loss: 1.042087]\n",
            "3730 [D loss: 0.613943, acc.: 67.19%] [G loss: 0.991909]\n",
            "3731 [D loss: 0.710871, acc.: 60.94%] [G loss: 1.020978]\n",
            "3732 [D loss: 0.662793, acc.: 60.94%] [G loss: 1.004465]\n",
            "3733 [D loss: 0.739702, acc.: 48.44%] [G loss: 0.903843]\n",
            "3734 [D loss: 0.623435, acc.: 65.62%] [G loss: 0.938418]\n",
            "3735 [D loss: 0.603309, acc.: 67.19%] [G loss: 0.939552]\n",
            "3736 [D loss: 0.679057, acc.: 57.81%] [G loss: 0.942908]\n",
            "3737 [D loss: 0.707081, acc.: 56.25%] [G loss: 1.096504]\n",
            "3738 [D loss: 0.629568, acc.: 57.81%] [G loss: 0.922990]\n",
            "3739 [D loss: 0.704924, acc.: 45.31%] [G loss: 0.878964]\n",
            "3740 [D loss: 0.677337, acc.: 59.38%] [G loss: 0.985625]\n",
            "3741 [D loss: 0.583435, acc.: 68.75%] [G loss: 1.027061]\n",
            "3742 [D loss: 0.670030, acc.: 59.38%] [G loss: 0.921826]\n",
            "3743 [D loss: 0.607640, acc.: 68.75%] [G loss: 1.101777]\n",
            "3744 [D loss: 0.616037, acc.: 68.75%] [G loss: 0.989940]\n",
            "3745 [D loss: 0.674792, acc.: 56.25%] [G loss: 1.036275]\n",
            "3746 [D loss: 0.598082, acc.: 67.19%] [G loss: 1.026886]\n",
            "3747 [D loss: 0.725371, acc.: 59.38%] [G loss: 0.975892]\n",
            "3748 [D loss: 0.653276, acc.: 59.38%] [G loss: 0.856444]\n",
            "3749 [D loss: 0.679276, acc.: 51.56%] [G loss: 0.825910]\n",
            "3750 [D loss: 0.718183, acc.: 56.25%] [G loss: 0.884915]\n",
            "3751 [D loss: 0.631795, acc.: 57.81%] [G loss: 1.023404]\n",
            "3752 [D loss: 0.622620, acc.: 67.19%] [G loss: 1.079753]\n",
            "3753 [D loss: 0.569000, acc.: 70.31%] [G loss: 0.921113]\n",
            "3754 [D loss: 0.686855, acc.: 56.25%] [G loss: 0.962703]\n",
            "3755 [D loss: 0.673352, acc.: 62.50%] [G loss: 0.935410]\n",
            "3756 [D loss: 0.669760, acc.: 57.81%] [G loss: 0.996551]\n",
            "3757 [D loss: 0.709974, acc.: 54.69%] [G loss: 0.921393]\n",
            "3758 [D loss: 0.579280, acc.: 70.31%] [G loss: 1.048896]\n",
            "3759 [D loss: 0.757465, acc.: 50.00%] [G loss: 1.021575]\n",
            "3760 [D loss: 0.613518, acc.: 67.19%] [G loss: 0.803111]\n",
            "3761 [D loss: 0.718803, acc.: 48.44%] [G loss: 0.863608]\n",
            "3762 [D loss: 0.739003, acc.: 46.88%] [G loss: 0.954672]\n",
            "3763 [D loss: 0.622923, acc.: 62.50%] [G loss: 1.012065]\n",
            "3764 [D loss: 0.665240, acc.: 51.56%] [G loss: 1.030176]\n",
            "3765 [D loss: 0.670995, acc.: 59.38%] [G loss: 0.997485]\n",
            "3766 [D loss: 0.736660, acc.: 46.88%] [G loss: 1.019208]\n",
            "3767 [D loss: 0.735058, acc.: 46.88%] [G loss: 0.939565]\n",
            "3768 [D loss: 0.656851, acc.: 64.06%] [G loss: 0.806039]\n",
            "3769 [D loss: 0.595828, acc.: 70.31%] [G loss: 0.966368]\n",
            "3770 [D loss: 0.650126, acc.: 64.06%] [G loss: 1.159253]\n",
            "3771 [D loss: 0.690559, acc.: 56.25%] [G loss: 1.121500]\n",
            "3772 [D loss: 0.639643, acc.: 56.25%] [G loss: 0.837935]\n",
            "3773 [D loss: 0.592748, acc.: 68.75%] [G loss: 1.139334]\n",
            "3774 [D loss: 0.637550, acc.: 64.06%] [G loss: 1.081136]\n",
            "3775 [D loss: 0.783964, acc.: 40.62%] [G loss: 1.118884]\n",
            "3776 [D loss: 0.646251, acc.: 62.50%] [G loss: 0.944704]\n",
            "3777 [D loss: 0.620770, acc.: 62.50%] [G loss: 1.058890]\n",
            "3778 [D loss: 0.630660, acc.: 65.62%] [G loss: 0.978976]\n",
            "3779 [D loss: 0.693958, acc.: 59.38%] [G loss: 1.111148]\n",
            "3780 [D loss: 0.690385, acc.: 62.50%] [G loss: 1.000445]\n",
            "3781 [D loss: 0.659114, acc.: 59.38%] [G loss: 1.032082]\n",
            "3782 [D loss: 0.647253, acc.: 65.62%] [G loss: 0.936624]\n",
            "3783 [D loss: 0.710345, acc.: 54.69%] [G loss: 0.986092]\n",
            "3784 [D loss: 0.567759, acc.: 75.00%] [G loss: 0.956841]\n",
            "3785 [D loss: 0.643362, acc.: 67.19%] [G loss: 1.221599]\n",
            "3786 [D loss: 0.682786, acc.: 57.81%] [G loss: 0.942581]\n",
            "3787 [D loss: 0.702093, acc.: 62.50%] [G loss: 0.921780]\n",
            "3788 [D loss: 0.594232, acc.: 70.31%] [G loss: 1.062139]\n",
            "3789 [D loss: 0.688860, acc.: 56.25%] [G loss: 1.081892]\n",
            "3790 [D loss: 0.694369, acc.: 60.94%] [G loss: 0.865454]\n",
            "3791 [D loss: 0.704183, acc.: 51.56%] [G loss: 0.935563]\n",
            "3792 [D loss: 0.699799, acc.: 51.56%] [G loss: 1.031117]\n",
            "3793 [D loss: 0.678556, acc.: 54.69%] [G loss: 1.155443]\n",
            "3794 [D loss: 0.648736, acc.: 62.50%] [G loss: 0.894774]\n",
            "3795 [D loss: 0.648422, acc.: 62.50%] [G loss: 1.000278]\n",
            "3796 [D loss: 0.585936, acc.: 75.00%] [G loss: 1.017061]\n",
            "3797 [D loss: 0.620888, acc.: 67.19%] [G loss: 1.045353]\n",
            "3798 [D loss: 0.614735, acc.: 65.62%] [G loss: 0.804880]\n",
            "3799 [D loss: 0.694667, acc.: 50.00%] [G loss: 0.861169]\n",
            "3800 [D loss: 0.626960, acc.: 65.62%] [G loss: 0.920501]\n",
            "3801 [D loss: 0.741106, acc.: 40.62%] [G loss: 0.950613]\n",
            "3802 [D loss: 0.686292, acc.: 59.38%] [G loss: 0.995080]\n",
            "3803 [D loss: 0.720350, acc.: 50.00%] [G loss: 0.903639]\n",
            "3804 [D loss: 0.694503, acc.: 64.06%] [G loss: 1.076508]\n",
            "3805 [D loss: 0.581180, acc.: 71.88%] [G loss: 0.973737]\n",
            "3806 [D loss: 0.658386, acc.: 64.06%] [G loss: 0.764442]\n",
            "3807 [D loss: 0.619350, acc.: 67.19%] [G loss: 0.861477]\n",
            "3808 [D loss: 0.646616, acc.: 60.94%] [G loss: 0.808608]\n",
            "3809 [D loss: 0.614244, acc.: 60.94%] [G loss: 1.171031]\n",
            "3810 [D loss: 0.691075, acc.: 51.56%] [G loss: 1.010969]\n",
            "3811 [D loss: 0.666309, acc.: 56.25%] [G loss: 1.041727]\n",
            "3812 [D loss: 0.725836, acc.: 56.25%] [G loss: 0.876094]\n",
            "3813 [D loss: 0.586721, acc.: 68.75%] [G loss: 1.028565]\n",
            "3814 [D loss: 0.659190, acc.: 62.50%] [G loss: 1.009948]\n",
            "3815 [D loss: 0.708612, acc.: 43.75%] [G loss: 1.063999]\n",
            "3816 [D loss: 0.692461, acc.: 62.50%] [G loss: 0.869168]\n",
            "3817 [D loss: 0.791433, acc.: 45.31%] [G loss: 0.805302]\n",
            "3818 [D loss: 0.659196, acc.: 64.06%] [G loss: 0.865195]\n",
            "3819 [D loss: 0.686127, acc.: 50.00%] [G loss: 0.890499]\n",
            "3820 [D loss: 0.665526, acc.: 60.94%] [G loss: 0.873679]\n",
            "3821 [D loss: 0.608928, acc.: 68.75%] [G loss: 0.863072]\n",
            "3822 [D loss: 0.685211, acc.: 57.81%] [G loss: 0.890828]\n",
            "3823 [D loss: 0.620220, acc.: 67.19%] [G loss: 0.926068]\n",
            "3824 [D loss: 0.688520, acc.: 59.38%] [G loss: 0.970653]\n",
            "3825 [D loss: 0.568139, acc.: 73.44%] [G loss: 0.989436]\n",
            "3826 [D loss: 0.687839, acc.: 65.62%] [G loss: 0.997562]\n",
            "3827 [D loss: 0.675660, acc.: 56.25%] [G loss: 1.054189]\n",
            "3828 [D loss: 0.655038, acc.: 65.62%] [G loss: 1.056193]\n",
            "3829 [D loss: 0.644678, acc.: 62.50%] [G loss: 0.986645]\n",
            "3830 [D loss: 0.670536, acc.: 60.94%] [G loss: 1.016338]\n",
            "3831 [D loss: 0.657384, acc.: 64.06%] [G loss: 0.888604]\n",
            "3832 [D loss: 0.634412, acc.: 67.19%] [G loss: 1.007756]\n",
            "3833 [D loss: 0.671314, acc.: 64.06%] [G loss: 0.986698]\n",
            "3834 [D loss: 0.666921, acc.: 57.81%] [G loss: 1.029722]\n",
            "3835 [D loss: 0.585332, acc.: 76.56%] [G loss: 1.100209]\n",
            "3836 [D loss: 0.585488, acc.: 68.75%] [G loss: 1.023418]\n",
            "3837 [D loss: 0.716683, acc.: 50.00%] [G loss: 1.004748]\n",
            "3838 [D loss: 0.658217, acc.: 60.94%] [G loss: 0.951398]\n",
            "3839 [D loss: 0.610351, acc.: 71.88%] [G loss: 0.977587]\n",
            "3840 [D loss: 0.662708, acc.: 60.94%] [G loss: 0.943564]\n",
            "3841 [D loss: 0.645575, acc.: 67.19%] [G loss: 0.841948]\n",
            "3842 [D loss: 0.655646, acc.: 65.62%] [G loss: 0.957977]\n",
            "3843 [D loss: 0.651592, acc.: 59.38%] [G loss: 1.082900]\n",
            "3844 [D loss: 0.716637, acc.: 54.69%] [G loss: 0.994399]\n",
            "3845 [D loss: 0.562306, acc.: 70.31%] [G loss: 1.048622]\n",
            "3846 [D loss: 0.691485, acc.: 64.06%] [G loss: 0.996894]\n",
            "3847 [D loss: 0.762951, acc.: 43.75%] [G loss: 1.029330]\n",
            "3848 [D loss: 0.731742, acc.: 51.56%] [G loss: 0.893811]\n",
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            "3851 [D loss: 0.739872, acc.: 51.56%] [G loss: 0.857347]\n",
            "3852 [D loss: 0.734334, acc.: 46.88%] [G loss: 0.932952]\n",
            "3853 [D loss: 0.647290, acc.: 68.75%] [G loss: 1.208905]\n",
            "3854 [D loss: 0.639741, acc.: 59.38%] [G loss: 1.023540]\n",
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            "3856 [D loss: 0.608242, acc.: 68.75%] [G loss: 0.885506]\n",
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            "3858 [D loss: 0.622581, acc.: 62.50%] [G loss: 0.914732]\n",
            "3859 [D loss: 0.631549, acc.: 67.19%] [G loss: 0.951755]\n",
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            "3861 [D loss: 0.548918, acc.: 76.56%] [G loss: 1.136566]\n",
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            "3863 [D loss: 0.671657, acc.: 57.81%] [G loss: 1.122456]\n",
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            "3866 [D loss: 0.723680, acc.: 51.56%] [G loss: 0.964611]\n",
            "3867 [D loss: 0.619291, acc.: 62.50%] [G loss: 1.036949]\n",
            "3868 [D loss: 0.616155, acc.: 73.44%] [G loss: 0.943702]\n",
            "3869 [D loss: 0.669004, acc.: 56.25%] [G loss: 0.791608]\n",
            "3870 [D loss: 0.797903, acc.: 42.19%] [G loss: 0.880679]\n",
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            "3872 [D loss: 0.774462, acc.: 39.06%] [G loss: 0.937123]\n",
            "3873 [D loss: 0.648672, acc.: 53.12%] [G loss: 1.022040]\n",
            "3874 [D loss: 0.625891, acc.: 67.19%] [G loss: 1.133973]\n",
            "3875 [D loss: 0.750217, acc.: 48.44%] [G loss: 0.996510]\n",
            "3876 [D loss: 0.608720, acc.: 64.06%] [G loss: 1.043298]\n",
            "3877 [D loss: 0.698485, acc.: 59.38%] [G loss: 0.969906]\n",
            "3878 [D loss: 0.634135, acc.: 65.62%] [G loss: 0.881914]\n",
            "3879 [D loss: 0.701059, acc.: 59.38%] [G loss: 0.892683]\n",
            "3880 [D loss: 0.655303, acc.: 65.62%] [G loss: 1.109142]\n",
            "3881 [D loss: 0.708823, acc.: 59.38%] [G loss: 0.982774]\n",
            "3882 [D loss: 0.663844, acc.: 60.94%] [G loss: 1.012769]\n",
            "3883 [D loss: 0.616273, acc.: 71.88%] [G loss: 1.088065]\n",
            "3884 [D loss: 0.665216, acc.: 62.50%] [G loss: 1.068309]\n",
            "3885 [D loss: 0.761753, acc.: 50.00%] [G loss: 0.865462]\n",
            "3886 [D loss: 0.713073, acc.: 54.69%] [G loss: 0.950216]\n",
            "3887 [D loss: 0.662920, acc.: 57.81%] [G loss: 0.888217]\n",
            "3888 [D loss: 0.714073, acc.: 54.69%] [G loss: 0.870440]\n",
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            "3890 [D loss: 0.615758, acc.: 62.50%] [G loss: 0.973400]\n",
            "3891 [D loss: 0.678673, acc.: 54.69%] [G loss: 1.164881]\n",
            "3892 [D loss: 0.539510, acc.: 71.88%] [G loss: 1.065501]\n",
            "3893 [D loss: 0.696282, acc.: 43.75%] [G loss: 0.942352]\n",
            "3894 [D loss: 0.763723, acc.: 46.88%] [G loss: 0.956035]\n",
            "3895 [D loss: 0.633372, acc.: 60.94%] [G loss: 1.063412]\n",
            "3896 [D loss: 0.607188, acc.: 68.75%] [G loss: 0.954894]\n",
            "3897 [D loss: 0.620594, acc.: 57.81%] [G loss: 0.951296]\n",
            "3898 [D loss: 0.547318, acc.: 75.00%] [G loss: 1.237542]\n",
            "3899 [D loss: 0.649316, acc.: 59.38%] [G loss: 0.977474]\n",
            "3900 [D loss: 0.725776, acc.: 57.81%] [G loss: 0.924746]\n",
            "3901 [D loss: 0.687120, acc.: 59.38%] [G loss: 1.111893]\n",
            "3902 [D loss: 0.716141, acc.: 51.56%] [G loss: 0.862244]\n",
            "3903 [D loss: 0.661627, acc.: 57.81%] [G loss: 0.990789]\n",
            "3904 [D loss: 0.711901, acc.: 54.69%] [G loss: 1.023290]\n",
            "3905 [D loss: 0.630870, acc.: 57.81%] [G loss: 0.961479]\n",
            "3906 [D loss: 0.690806, acc.: 60.94%] [G loss: 0.933138]\n",
            "3907 [D loss: 0.746623, acc.: 39.06%] [G loss: 0.795386]\n",
            "3908 [D loss: 0.617100, acc.: 62.50%] [G loss: 1.065895]\n",
            "3909 [D loss: 0.668458, acc.: 59.38%] [G loss: 0.845312]\n",
            "3910 [D loss: 0.708361, acc.: 53.12%] [G loss: 1.055083]\n",
            "3911 [D loss: 0.645918, acc.: 57.81%] [G loss: 0.966967]\n",
            "3912 [D loss: 0.681656, acc.: 51.56%] [G loss: 1.014562]\n",
            "3913 [D loss: 0.680093, acc.: 65.62%] [G loss: 1.016464]\n",
            "3914 [D loss: 0.607227, acc.: 68.75%] [G loss: 1.016542]\n",
            "3915 [D loss: 0.714972, acc.: 56.25%] [G loss: 0.792527]\n",
            "3916 [D loss: 0.599841, acc.: 65.62%] [G loss: 1.064750]\n",
            "3917 [D loss: 0.763595, acc.: 51.56%] [G loss: 0.723638]\n",
            "3918 [D loss: 0.628410, acc.: 56.25%] [G loss: 0.905126]\n",
            "3919 [D loss: 0.734189, acc.: 46.88%] [G loss: 1.099732]\n",
            "3920 [D loss: 0.769798, acc.: 46.88%] [G loss: 1.016757]\n",
            "3921 [D loss: 0.611425, acc.: 68.75%] [G loss: 1.092583]\n",
            "3922 [D loss: 0.640932, acc.: 62.50%] [G loss: 0.894201]\n",
            "3923 [D loss: 0.644205, acc.: 65.62%] [G loss: 0.942607]\n",
            "3924 [D loss: 0.648105, acc.: 62.50%] [G loss: 0.998877]\n",
            "3925 [D loss: 0.699818, acc.: 59.38%] [G loss: 0.946578]\n",
            "3926 [D loss: 0.547383, acc.: 75.00%] [G loss: 0.908953]\n",
            "3927 [D loss: 0.605134, acc.: 71.88%] [G loss: 1.007776]\n",
            "3928 [D loss: 0.751848, acc.: 56.25%] [G loss: 0.941388]\n",
            "3929 [D loss: 0.605821, acc.: 65.62%] [G loss: 1.020169]\n",
            "3930 [D loss: 0.792694, acc.: 45.31%] [G loss: 0.876687]\n",
            "3931 [D loss: 0.720333, acc.: 53.12%] [G loss: 0.998786]\n",
            "3932 [D loss: 0.759858, acc.: 46.88%] [G loss: 0.865016]\n",
            "3933 [D loss: 0.716348, acc.: 48.44%] [G loss: 0.991657]\n",
            "3934 [D loss: 0.667991, acc.: 56.25%] [G loss: 0.844403]\n",
            "3935 [D loss: 0.691092, acc.: 56.25%] [G loss: 0.857937]\n",
            "3936 [D loss: 0.669222, acc.: 56.25%] [G loss: 0.907161]\n",
            "3937 [D loss: 0.673152, acc.: 53.12%] [G loss: 0.916246]\n",
            "3938 [D loss: 0.533851, acc.: 73.44%] [G loss: 0.945865]\n",
            "3939 [D loss: 0.614120, acc.: 68.75%] [G loss: 0.880266]\n",
            "3940 [D loss: 0.695095, acc.: 56.25%] [G loss: 1.053092]\n",
            "3941 [D loss: 0.631277, acc.: 67.19%] [G loss: 1.022801]\n",
            "3942 [D loss: 0.701383, acc.: 45.31%] [G loss: 1.202921]\n",
            "3943 [D loss: 0.734532, acc.: 54.69%] [G loss: 0.804704]\n",
            "3944 [D loss: 0.636462, acc.: 62.50%] [G loss: 1.063491]\n",
            "3945 [D loss: 0.684688, acc.: 57.81%] [G loss: 0.799391]\n",
            "3946 [D loss: 0.596848, acc.: 70.31%] [G loss: 1.080797]\n",
            "3947 [D loss: 0.578067, acc.: 68.75%] [G loss: 0.937918]\n",
            "3948 [D loss: 0.578198, acc.: 67.19%] [G loss: 0.972981]\n",
            "3949 [D loss: 0.665773, acc.: 57.81%] [G loss: 0.780631]\n",
            "3950 [D loss: 0.761895, acc.: 50.00%] [G loss: 0.900288]\n",
            "3951 [D loss: 0.670990, acc.: 64.06%] [G loss: 0.838972]\n",
            "3952 [D loss: 0.602294, acc.: 65.62%] [G loss: 0.949598]\n",
            "3953 [D loss: 0.697326, acc.: 53.12%] [G loss: 0.991664]\n",
            "3954 [D loss: 0.580477, acc.: 71.88%] [G loss: 0.969873]\n",
            "3955 [D loss: 0.712583, acc.: 51.56%] [G loss: 0.908330]\n",
            "3956 [D loss: 0.775524, acc.: 48.44%] [G loss: 0.878634]\n",
            "3957 [D loss: 0.653197, acc.: 67.19%] [G loss: 0.980681]\n",
            "3958 [D loss: 0.669999, acc.: 60.94%] [G loss: 1.062580]\n",
            "3959 [D loss: 0.673263, acc.: 56.25%] [G loss: 1.160937]\n",
            "3960 [D loss: 0.712942, acc.: 46.88%] [G loss: 1.028674]\n",
            "3961 [D loss: 0.719123, acc.: 43.75%] [G loss: 0.956040]\n",
            "3962 [D loss: 0.708551, acc.: 50.00%] [G loss: 1.000445]\n",
            "3963 [D loss: 0.654999, acc.: 56.25%] [G loss: 0.987253]\n",
            "3964 [D loss: 0.696293, acc.: 57.81%] [G loss: 1.081792]\n",
            "3965 [D loss: 0.627010, acc.: 62.50%] [G loss: 0.865190]\n",
            "3966 [D loss: 0.711296, acc.: 53.12%] [G loss: 1.067021]\n",
            "3967 [D loss: 0.642997, acc.: 59.38%] [G loss: 0.922679]\n",
            "3968 [D loss: 0.639786, acc.: 64.06%] [G loss: 1.139076]\n",
            "3969 [D loss: 0.648296, acc.: 67.19%] [G loss: 0.989428]\n",
            "3970 [D loss: 0.711327, acc.: 57.81%] [G loss: 0.982504]\n",
            "3971 [D loss: 0.607904, acc.: 67.19%] [G loss: 0.917806]\n",
            "3972 [D loss: 0.749006, acc.: 46.88%] [G loss: 0.952598]\n",
            "3973 [D loss: 0.679234, acc.: 48.44%] [G loss: 0.915794]\n",
            "3974 [D loss: 0.633047, acc.: 62.50%] [G loss: 0.895940]\n",
            "3975 [D loss: 0.577288, acc.: 73.44%] [G loss: 1.150152]\n",
            "3976 [D loss: 0.563170, acc.: 79.69%] [G loss: 1.080394]\n",
            "3977 [D loss: 0.657606, acc.: 60.94%] [G loss: 0.919542]\n",
            "3978 [D loss: 0.631575, acc.: 71.88%] [G loss: 0.851951]\n",
            "3979 [D loss: 0.580468, acc.: 65.62%] [G loss: 1.090389]\n",
            "3980 [D loss: 0.619268, acc.: 67.19%] [G loss: 1.135787]\n",
            "3981 [D loss: 0.729824, acc.: 46.88%] [G loss: 0.995287]\n",
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            "3983 [D loss: 0.674938, acc.: 54.69%] [G loss: 1.028300]\n",
            "3984 [D loss: 0.650086, acc.: 65.62%] [G loss: 1.067542]\n",
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            "3990 [D loss: 0.666809, acc.: 54.69%] [G loss: 0.964669]\n",
            "3991 [D loss: 0.622537, acc.: 65.62%] [G loss: 0.887626]\n",
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            "3995 [D loss: 0.634158, acc.: 65.62%] [G loss: 0.997173]\n",
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            "3997 [D loss: 0.741981, acc.: 50.00%] [G loss: 0.791775]\n",
            "3998 [D loss: 0.661148, acc.: 60.94%] [G loss: 0.934744]\n",
            "3999 [D loss: 0.635369, acc.: 60.94%] [G loss: 1.069467]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mUAiDj6qtWiQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "outputId": "e06d5115-a2fd-4ec9-8705-bfef375c4106"
      },
      "source": [
        "ls images"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "mnist_0.png     mnist_1650.png  mnist_2400.png  mnist_3100.png  mnist_3850.png\n",
            "mnist_1000.png  mnist_1700.png  mnist_2450.png  mnist_3150.png  mnist_3900.png\n",
            "mnist_100.png   mnist_1750.png  mnist_2500.png  mnist_3200.png  mnist_3950.png\n",
            "mnist_1050.png  mnist_1800.png  mnist_250.png   mnist_3250.png  mnist_400.png\n",
            "mnist_1100.png  mnist_1850.png  mnist_2550.png  mnist_3300.png  mnist_450.png\n",
            "mnist_1150.png  mnist_1900.png  mnist_2600.png  mnist_3350.png  mnist_500.png\n",
            "mnist_1200.png  mnist_1950.png  mnist_2650.png  mnist_3400.png  mnist_50.png\n",
            "mnist_1250.png  mnist_2000.png  mnist_2700.png  mnist_3450.png  mnist_550.png\n",
            "mnist_1300.png  mnist_200.png   mnist_2750.png  mnist_3500.png  mnist_600.png\n",
            "mnist_1350.png  mnist_2050.png  mnist_2800.png  mnist_350.png   mnist_650.png\n",
            "mnist_1400.png  mnist_2100.png  mnist_2850.png  mnist_3550.png  mnist_700.png\n",
            "mnist_1450.png  mnist_2150.png  mnist_2900.png  mnist_3600.png  mnist_750.png\n",
            "mnist_1500.png  mnist_2200.png  mnist_2950.png  mnist_3650.png  mnist_800.png\n",
            "mnist_150.png   mnist_2250.png  mnist_3000.png  mnist_3700.png  mnist_850.png\n",
            "mnist_1550.png  mnist_2300.png  mnist_300.png   mnist_3750.png  mnist_900.png\n",
            "mnist_1600.png  mnist_2350.png  mnist_3050.png  mnist_3800.png  mnist_950.png\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ewhFePDMte22",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 305
        },
        "outputId": "60b16aa9-9360-4f42-f9be-df827e9cdf2d"
      },
      "source": [
        "from IPython.display import display\n",
        "from PIL import Image\n",
        "\n",
        "\n",
        "path=\"images/mnist_0.png\"\n",
        "display(Image.open(path))"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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funQpxVRbWlrY42QymXDvvfcyuti7dy/CwsJYFl1TU4OgoCB89tlnAAS69P77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\ngoReif8HsXB/ZUYxNNcAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=432x288 at 0x7FC9D865B358>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Bace1cJ4tlag",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 305
        },
        "outputId": "3166d04a-6d55-4f5f-dda6-c1926cd82056"
      },
      "source": [
        "from IPython.display import display\n",
        "from PIL import Image\n",
        "\n",
        "\n",
        "path=\"images/mnist_3950.png\"\n",
        "display(Image.open(path))"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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99NMRZVJuakSAhYBhGGzevBn4JTHZ8nNYC5eVoPztt99GvfACc/JZeSuTJ09m\nzpw5XHPNNQBs374dj8ejzKfnnHMOw4YNU0LLStSMBqyz4qx7dbvd6m9JSUkMGDBALTSTJk3C6/Wq\nwtCWb8OqC1gxWMQwDF588UUgehLgu3fvjtPp5IcffgAqF7duTlhHNLVq1YqCgoJqy2R9+OGHygfm\n8XhYunQps2bNAsyz+Pbu3QvUfAZdtCACLESCne1Op1PVRrSwcqCiKVG5OnRdVxUnVq5cyYgRI3jm\nmWcAU7Po1KmTCvJo3bo1gUCA0aNHA9FXVWHbtm188cUXgFkf0tLANE3D4XAo38VvfvObWkU0Wtr8\n7t27lWCsqLEGC0o7YN33448/jqZpKsgpWjTxumDNj7feekvllZ6I22+/nREjRgCmT6ygoIA333wT\niJ7NTSiID0wQBEGwJZIHFmLOUzDPPPOMqo4NZqRhSkoKUPV5RqFglzyw4Hp+cXFxnHTSSbRu3Row\nq5P87ne/U+8pLS3lH//4B48//jgQ+j2Ge6hW1y8pKSmMGTOGdevWAfDEE08wZswYgEq5PDXx9ddf\n8+yzz6qSWx6PR5lbrd26hdvtDqu2H+r8ueGGGwDz7DjDMMjKygJ+KSHVUNhl/gQTFxdH69atlUWj\nrKys0n24XC4++OADAAYOHEhGRkatn3+4509jICbEOqLreqVEwttuu63egstuBJsBCwoK+P7775Vf\nY+XKlfzwww906tQJMO33GzZsiMqJVFBQwLx581R/jB07VgmuWbNmMWLECBVWD6YwtwT7vHnzeOWV\nV/jss8+Aqhea4EVR0zTlyLf+twMxMTHcdNNNgHmP+/fvV7VFBdPtMGjQID766CPAdFHMmTOHRx99\nFDDzxHRdZ82aNQC0bNmy2bgqToSYEAVBEARbIhpYHdE0rVxSrtfrrdEBG+1YR4JYwQf5+fnMnTs3\nzK1qGqqK+rL64dprr6339YO1MuvoebBXsJDT6VSV9RcvXsx77713wmNTmiOBQIDt27ezZcsWwDzF\n/cCBA6q0VCAQwOv1smnTJgBVUqo5Iz6wevjA7rvvPv76178CMGzYMJX/1BDY0Ybf2IR7qFbVL5aZ\nMPg8r6ZGxkplorlPrOvbzYfcGIgAq+dgs45Eb+iaftE8AetKuIdqdQIsnJqEjJXKSJ9UJtzzpzEQ\nH5ggCIJgS5q9AKvvbikQCBAIBBp01xWpO7impmLkXaShaRq6rqPrekS2TxCinWZvQhQEQRDsSbPX\nwARBEAR7IgJMEARBsCUiwARBEARbIgJMEARBsCUiwARBEARbIgJMEARBsCUiwARBEARb0uyL+UZq\nAqqUwqlMuFMWK/aLpmlN1qbgmosOh6PcyeAyViojfWKOGevIHp/PF5WFk0UDEwRBEGxJs9fAwkkk\nFIIVao/D4Sh3gGdT7vKtMaLrOvHx8eoYlaqOcREEh8OBy+XC6/UC4bdeNBbNvpRUU6v7VX1fVY9A\nTCCVCfdQ1XU97G2oiKZpYd0AhXOsBH93xecSDfOnrsemgDlWK46LSBu7DYFoYCESE2N2WbAP4kQE\nH3pZWFhY6VDCE2FpZuGiKX07dqIp/V21PV8s3M9J0zTcbjdgaoPBGmpD43Q61fl72dnZLFiwAIAF\nCxawf//+sPdFQ2Ed0XT55Zdz3333kZycDJiHgN55553qgEurry1B5/F4lEZem/UpGhAfmCAIgmBL\nxIQYgrofExOjNLDaHOWenp7ODTfcAMDjjz9OWVlZrXaJzdksVB3hHqq16RdL4y4oKAj5+rfccgsA\nf//731m3bh2jR48GavaRhrNfXC4X7du3B2Dfvn0UFRU1yHV1XcftdjNy5EgAHnroIXr06KHmXyAQ\nYPv27QDMnDmTmTNnlvMHRroJMTiqNFiD6tmzJx988AEAGRkZ1V7D+qx1r/n5+bRr1w6oevyFe/40\nBiLAQlis77nnHj777DMAVq9eXeP7J0+ezK233grAKaecolT/2hDpE7C2eDweunbtCkBRURGbN2+u\n87XCPVSr6xdN0+jQoYMSYBs2bAjp2h6Ph927dwOQmppKXl6eEgyFhYXVfjac/RITE0NqaioAR48e\nrVdQSWJiIv/85z8BOPXUU+nSpUs5P1DFjZ1131u3bmXEiBHs2bNHvR7p86dt27YAFBcXM378eMBc\nL1q3bo3T6azT927fvp2TTz4ZqNqEGO750xiID6wWpKSkAHDZZZcxb968Wn1G13XOOOMMZc+28jGi\nDYfDwZVXXgnAyJEjiYuLU3+Li4ujY8eOatHp1KkTH374Ib/5zW+A6Ii+tBarPn368Nxzz/GXv/wF\nCE2AaZrGSy+9pASBpmm0aNGizgtZU+L3+8nNza3z5y1N5N577+Xee+9V/p5AIIBhGOzatQuACy+8\nkG3btikBOWzYMJ5++mkAdu7cSUZGBnv37gXssVBbbR0+fDh/+MMfAGjXrl2t/N+W78s6SNUSVj/+\n+GOj+iAjEfGBCYIgCLZENLBacN111wGmBlGTGdDakaemppKQkKDyMDIyMjh69Kgtdoe1oXXr1oBp\nvrGi0KqitLSULVu2AKa/5MILL1R+jUWLFjV+QxuZtLQ0AN544w06d+7MJZdcApgRYzU9a2usxMbG\n0r59+3KmJ5/Pp7T3aOaKK64A4MEHH8ThcFBaWgrAY489xrRp005oPv3kk0/o1q0bYEYnGoZhK43e\nauuGDRvUGKpoevT7/fj9fjWOysrKiI2NPaGJ8rXXXoua9aW2iACrAV3XueiiiwD46aef1GLtdDoZ\nPHgwF1xwAWCaMebMmaMGV48ePWjZsiVZWVmAOSEvvvhiNUHtjmUqi4mJKTdpKk6urVu3snbtWsA0\nkcTFxXH66acD9hdgbrebhx56CDADdkpKStRi1KFDB5KSkgA4cOAAPp9PBTj4fL5KvqKKwsrn8xEb\nG9vYtxBWUlJSmDVrFoAqj9W3b18ANm7cWOPnrXFn5zlVWlqqTICWELbMgBs2bGDSpEkqcOXqq69m\nwoQJ5caKYRj8+OOPALz99ttN3PrwIyZEQRAEwZaIBlYDY8aMYdCgQQDs37+fcePGAbBu3TqmTp2q\nouo+/vhj8vLy1G5p/fr1vP766yrx8pRTTiE1NZX9+/c3/U00ApZp5/jx4ypk9/vvv+eVV15hzZo1\ngKl5FBUVkZmZCcD555+PruvcfvvtgBkabTeTR7CG2bdvX6655hrgF0300ksvBWDcuHF4PB7ADG+e\nPn06jz/+OFBZYygqKuIvf/kLH330kfqO2NhYrrrqKgAefvjhxr2pMDFt2jSlTfj9ftLS0kKK1I0G\nCgsLeeqppwCYOnUqYEZzAqxYsYJNmzapMXXRRRdV0tQNw+D5558Hmk/ycjmMZg5wwn+JiYnG1q1b\n1XtLSkqMZ555xnjmmWeM9PR0o0uXLoau64au61V+PjY21sjNzTVyc3ONQ4cOGR07dqz2+4L/hZPa\ntM/tdhtut9to27at4XQ6DafTecL3Wn/fvn27YRiGcejQIePQoUO17otI6BPDMAxN04yYmBgjJibG\niIuLM6ZPn26UlZUZZWVlRiAQKPdev99vlJSUGCUlJUabNm1qvDePx2P4fD7D5/MZhmEYgUDA+Oyz\nz4zPPvvMiI2Njdh+CfUZWv+6dOlilJaWGoFAwAgEAkZOTk6dr2XnPnE4HMbFF19sXHzxxUZRUZHh\n8/mMwsJCo7Cw0Hj66aeN8ePHG/n5+UZ+fn6lMWYYhrFjxw4jLi7OiIuLi+g+aSxEA6sCy8912WWX\n0aZNG/V6UVERx48fB+DYsWM1hg8XFxfz9ddfA3DaaaepHKFowApOsXKXqiM4zLdDhw6qD+2I5Xxv\n1aoVZ555pnrdqJBU+qc//YlHHnlE/a0msrOzK4VQd+7cGTBDrT/55JMGaX+4sTTYnJwcHA4HBw8e\nBOD3v/99OJsVNtq1a6fu3TAMdF1XWtaYMWO46qqraNGiRZWfDQQCzJw5k+Li4iZrb6QhPjBBEATB\nlogGVgVW0nF2djaBQEDtuktKSujfvz9g7pxqqiqhaZpKzDx69Gizs+9XJDc3F8Mw6pX4Gk6MoAoP\n+fn5PPLIIyqZNjY2FqfTqapBTJ8+PST/3vXXX19lGDXUrmyZXbB8xN26dcMwDN577z2AZpeAa9G3\nb1+VwF5aWkpsbGy5PqqOoqIi5syZYzs/ckMiAqwKrBI+Q4cOpaysTKn0ycnJnH322QB8/vnnPPDA\nA6r0jYVlfuzcuTN/+9vfVABIXl5es52kVv8NHTqUQCDAW2+9FeYW1Z/8/HyWLFnClClTADNIp127\ndixZsgQIrcpIdnY21157bbnXAoGACob53//+10CtDj+WkE5LS0PTNHr06AGYY8Tn86m/R/tcsYRU\nv379VEDUrl27SExMrLZqT7CwevPNN9m3b1/jNjTCEQFWAU3TVKmjzp07lyvn43a71cKUmZnJ008/\nzY4dOwD46quvGDNmDC+//DIA8fHx5XbUDoeDyZMn07t3b8As3GoJymXLlkXVLrsip5xyCgBZWVn4\n/f6oWJADgQAFBQVKGH/xxRd07tw5pIXXimh9++23Ky1apaWlKqfstNNO49tvvwVMTb60tFSNQ7vt\nvq3+cTgclJWVqZJKgwcPJisrS+V/fffdd+FqYpNgrQ3fffedEmaDBw+me/fuNZads3IIt23bZrvn\n39CID0wQBEGwJaKBVSAmJoY+ffoAZoXw4FN4y8rK1O7H7Xazb98+evbsCcCLL75IZmam2k2BuTu2\novUGDhzInj17uOOOOwDTBGVFYNmpBE6oaJrGE088AZjVS3Jzc1m8eHGYW9VwWBrF4cOHKSoqIj09\nvVafS09P5z//+Q9QudCzYRj4/X5let2+fTvx8fHq+44cOaLGZKQefXMirOM+wCxoa1UyKSwsJDU1\nlQkTJgDRr4FZR6UMGzZM9UmvXr3KrR9VoWmaeub1qfwfLYgAq4DD4eD+++8HzKCDiy++mCNHjgCm\n0LJMfT6fj9LSUm6++WbArA1YMQx669atqtL0zp07AVRy66mnnkpiYqJ6n53L4VRH69at6devH2BO\nvnnz5tXJXBrpC3VJSQmlpaXq3qo60t3imWee4ZZbbqkkuKx0g3379vHWW2+pxd0af1VhNxPSH//4\nR8Bs96pVq1QZJL/fj8Ph4Le//S1gzpNoNqu/8sorAAwZMkT5zWt7Ervl1rj66qt5/PHHo3oDXBMi\nwCrg9/uVHX7y5Mnk5uYqx/z06dPVDjs+Pp4WLVqoQWctsNYiVFJSwmOPPabypDIyMjhy5IgSVF27\ndiU7OxswAzw+/fTTJrrDpuWee+5RQruwsJDHHnsszC1qPAKBQJU5OZqm8emnnzJs2DDgl0CfYOFz\n9OhRVq1aBcDPP//M1KlTG+xwyEghPj5e5c4VFhYyb968ctUj/H6/Oifr7LPPZuHChbb19VWH0+lk\n+PDhAFVqXMF9Up1G1qVLF+Li4pp1dLP4wARBEARbIhpYBYLtyocPH2bq1KlqF3j33Xfzr3/9CzAj\n6qwD5cDcIS5ZskTVLQsEApSVlSlbt9frpaioSIXdn3766eTl5QEoDS/a8Hg8XH/99cpUtn379pDC\nfnVdL3eEvF35+OOPGT16dLnXDMNgxowZgBlNtm7dOrXzHjlyZMSbTGuDw+EgJiZGPbusrCw++OAD\nwBzzixcvVvfpdruJiYlh27ZtAIwePZpNmzapAy2jyd/TtWvXE0YaGoahcgnT0tKqrd7j8XhYsmSJ\n0uyjTWOvDSLAaiB44ixdulQFeNx1113ceOONLFu2DIAbb7xRBWxYOBwOZa/u0aMHBw8eVMmJSUlJ\nvPHGG5W+I5pIT09Xfj4wfTk1hZlXPELezlhj5ZxzzgF+MYMtWrSIiy++uNyCE3yva9eutfWYsO6l\nXbt2ZGdnc/jwYcBMB3jppZcA0+8Lv5hTJ0yYwJgxY+jSpQtgzo8ePXqoNJVook2bNlWObcMw2LZt\nm5ojlum9Onr06MG0adMAszzXpk2bGraxEY5mRJNxuQ409iJp5X099dRTdO3alUOHDgGmA7a6Y+fD\n+Vgaqk8eeughpkyZoibkWWedxfLly+t8vXAP1VD7xaoqnpSUhGEYaqe8YsWKBr2XSBsr1munnXYa\nt912mwriycjIYMGCBQA8/vjj9OzZUxUG+PWvf42u62p+zJ49m5kzZ5Kfn1+ndkVanwSTkJCg7rO6\nw2Bri+VXP3z4MCNGjADMswuD+8DKu4s2xAcmCIIg2BLRwCrsloLzLBrS76JpGpmZmSr3qyZTWiTv\nIGv7+QMHDpCenq6qz3fs2LHakPCaCPdQDaVfWrdurXwZYJ4lZ2kiBw4caNB2RepY0TSNrKwsLr/8\ncsA818yK2j169CixsbGqj/x+P2vWrOHVV18FTA1i7969dS4pFal9AqZv94EHHgDg/vvvD3m+nSgH\nsKCggPPOOw8wzyMMLs1lGIatT4E4EeIDC0LTNFJTU5UvyzqosSEwDMM2dcuCjwWpC7GxscAvprOl\nS5cCqKCV5sCzzz6rfi4pKeGkk05qdsdeGIbB3r171YGLaWlpqjZoSUkJLpeL6dOnA2a9x4MHD9o6\nWKe2BAIBddBtjx49OPXUUwGzBmvwBtrCCu7Zv38/fr9fzaPevXuXC5IZP3688slXnL+1zTGzG9F5\nV4IgCELUIybEoB1PJHVFONvicDjqtRPu2LEj8Euk2Q033ADArFmz6tWucD8fp9NZ62PbBw0axKRJ\nkwD43e9+V+dghNoQyeaycGHHPnG5XGRnZzNq1CjALIK9YsUKpc1XDMJISEjg559/VtGs3bp1q3Z8\nhnv+NAZiQiQ6H2x9qK8ZxzrfCMy+XbhwYX2bZBusxat9+/bcfvvtAI0qvIToobS0lJUrV7Jy5cpa\nvb+goIAzzjhDCTyHw1HrDVa0IBqY7CArUd8+sXJ51q5dy+jRo/nqq68aollh32gEF3auCk3TVOK1\nw+Foslp+dh4rjUVz6hOr6HNZWVm19x3u+dMYiA9MEARBsCWigUXgDlLTtLBGY9WnTzRNo1evXoCZ\nuNqQR6eEe6jGxMTUGNZtaWB+v7/J2tuctI3a0pz6JLgsVfC6UbEPwj1/GoNmL8AEQRAEeyImREEQ\nBMGWiAATBEEQbIkIMEEQBMGWiAATBEEQbIkIMEEQBMGWiAATBEEQbIkIMEEQBMGWNPtaiJKIWRnp\nk6qRfqmM9EllpE+aDtHABEEQBFvS7DUwIbKJ1N1sTdT3UFA7Y5U2qq7sVkP3T/A4aa793hwRASY0\nKpqm0aFDB+CXY1as40V2795NaWlpVFbQtmu764umaTXWi4QT9491cnBzOJlZqD8iwIRGo3Pnzrz0\n0ksMHTpUvZafn8+uXbsAeP7553nvvffUEek1CTM70dgaQaQcwqrrOh6PBzCfX33Oo+revTv/+Mc/\nABg3blxI9xbufhDCg/jABEEQBFvS7KvRN6WPJTY2llNPPRWA6667Tn33o48+yrFjx9i3b596b7ij\nqGrjxzgRY8eOBeD9999XJiHrWsFHP5SVlbF161YuuOACALZu3Vqt6SjcQ7U2Y8W6v1atWtGtWzfA\nPGJl7969ZGRkALBnzx6OHz/OoUOHgMpHxYdKOPsl+PnWpx0pKSls3bpVaXOtW7dWmnldCPf8CQXr\nQMrS0tJavd/qc+vYpdrea7jnT2MgJsQGJC0tjYKCAgCcTid9+vThgQceAGD48OE4nU41iIIH+fnn\nn8+vf/1rcnNzgboJjYYmMzMTgEOHDuH1emv1mYSEBLZt20bLli2r/LvD4Sh33w6HgzZt2tCjRw/A\nXNiLi4vr2fLwYC0qp512GgAzZ85kwIABQOUFzefzUVxczNGjRwGYM2cOr776Kj/99BNQf4HWlDTU\nojhmzBgSExPV809KSqqXALMTd911FwBnn302ffr0IS0tDTDHlMPhUJu62bNnM3/+fH744QcAtm/f\nHpVCKRREA6unBmYdYJiYmIjL5VLC5/e//z133HEHsbGxABQXF7Ny5UoefPBBAG677TYuv/xyAN55\n5x0efvjhcgtYuA+0HDRoEGAuJJ9++ukJ35ucnMyVV14JmJpkQkJCpfdYfhFN09B1vZz/prCwkFGj\nRgHwzTff2E4Ds15zuVy43W6eeuopAE455ZRKAiz43ir6yLxeLx988AEA9957L3v37q31jtxO2saJ\nPn/w4EHS0tL4/vvvATj99NNrvXGqCjv1yWeffQbA0KFD0XVdrSFHjhwhLS2NkpISwNTQEhMT1UZ3\nwIABHDhwoNbfE+750xiID0wQBEGwJWJCrCOWNmFx7NgxDMOgXbt2AFx99dX4/X5+//vfAzBr1qxy\nn1+1ahVvvPEGYJoKcnNzlaYSCTsly3xz/PjxKnN22rdvD5hmDSvKMLg/wLyPQCDA//73PwDcbjft\n27fH7XaXe9+ePXsAe4ZOW6kB8fHx9OnTR5mQR40aRXx8PGBqqTt27CAlJQWA7OxsHnnkEdq2bQuY\n/eJwOBg+fDgA8+bN45lnnuH9998HzLFVn+g+O9CiRQsCgQAPPfQQQL20LzuhaZqyWmiaxq5duzjz\nzDMBOHDgAImJicqk/Otf/5rnnntOjaNIWCfCjQiwELEGW0JCAvn5+crMYy1gN910E2Au5u+88w6v\nvPLKCa+1cOFCADIyMpTzOlLYsmWL+rmqifKrX/0KgCFDhpQLzIBfTIbFxcXk5uaqPtmyZQvt2rXj\nnXfeAaBdu3b4fD7b+jocDoe6971797Jr1y5lBgSUj8sS0JZw27VrF/Pnz1cCv1+/flxwwQWMHz8e\nMPvlvvvu4+OPPwaIauFl9YHD4UDXdRX40lwSwVNTU+nTpw9gzpfs7GwV3ANw+PBh9bPT6UTXddUv\ndvKVNhZiQhQEQRBsiWhgIeBwOHj++ecBc9d8yy23sGbNGgB69uzJrbfeSpcuXQB49913+etf/1rt\nLtJy1ubm5qLrekSZ0Krb9bds2ZKHH34Y+CWIxcIwDPbu3QvAk08+yWuvvaaczmBGNf76178GYPny\n5eozdiM4+KCuWM977dq1dOvWTYVTt2zZkqSkJIqKiurf0AgnOCpX0zQV/WrHMVEXnnvuOTWH8vLy\nymlfFtZY69SpE5qmqaCO5mJmrQ4RYCHgcDi44oorAFOdX7ZsmTIh6rpOcXExq1atAmDGjBkcP368\nVtf1+/0RETpfG3Rd54MPPiApKanS3wKBAIcOHVJ5YD///HMlM4dhGOzcuVNdKykpiVtvvRWAxx57\nzFYLV0M9M13XueiiizjppJMAc8H68ccflckxmrGet/X/ySefDNTNhGgt9Haqnzlq1CjV3nXr1lX6\ne1ZWFhMmTADgggsuwDAMtbFxu93NYpNTHSLAQqC0tJQZM2YAMGXKFOCXJETDMHj33Xe58cYbgdB2\nR5GkedVEZmYm/fv3L7dIWO3Pz8/nkksuUUEbJ1qA9u/fD5g2fLfbzd133w2YASGhhAU3NcGLakMI\nWqsPr776asaNG6d+P3bsGMOGDav39e2Adc9WkrulgYUqwOLi4lRwkJ0WdYfDoe6zpKSErl27cvXV\nVwNwyy234Ha7VW6cYRj4/X5Vii2afaO1RXxggiAIgi0RDSxE/vjHPwJw//338+abbzJixAgANmzY\nwB133GErE1hduOmmm3A6ner3QCCgNKphw4aVi148EVYfLVu2jFGjRqkSS3/961+55ZZbGqHVDUND\nH/9hJbn379+fbdu2qWhNyzfYHAjWPlwul/IphmIG1DQNj8ejIoTt5BsKHlPnnnsuv/rVrypF9VpW\nHp/Pp5LegUrva46IBlZHDMNg/PjxjBo1ilGjRuFyuTjrrLMwDCMqhZjlZL/lllsqLS4bN25k48aN\nbNu2LaRr/vvf/y53basiR7Rj1ZqMjY0lNjaWN954g/Hjx7N8+XLbCS/r2TVURY5vvvmmxoosFTEM\ng+PHj7N371727t2rghzsQHDahdPprCSUSktL1fyy/MkulwuXy6XC6t1uN263m0GDBpGTk0NOTg6t\nW7cuF2BVMUczWhANrJ5MnToVgIEDB/LPf/6TNm3ahLlFjYO1wFSsVVhWVqbKY4Xqy7M0N4u2bdtG\nzDEhdcVqf0xMjPJjTZgwgcGDB6ux4fF40HWdwsJCwBTkf//730O6fqRQ3+dUsTZocnJyna5jaSfB\n17ID11xzjSoldcMNN9CpUyf1+5tvvommaZx33nkAtGnTBsMwlIC2xo+leXbt2pXWrVsD5rwM9pHZ\nyc8eCtEplgVBEISoRzSwejJy5EjA3PVt2LBBRUIFAoGoihKydrc7d+6kffv2apfrdDrp3LkzAEuX\nLg3pmtYxKhbRUFnA0iDGjx/P9OnTAbNKS8VK/GAWgAazsPPQoUMZN24cYFbuCNZsdF0vF51XVFSk\nUjSibWfdt29fIPQoxOD32kl7NwyDl156CUD9H0yXLl34wx/+APxSciw4ctMwDFXJ5tVXX+XVV19t\nmoZHCCLA6kFMTIyqd1dYWMiUKVNUXlhsbCyFhYVRs8BYi8I111zDpk2blGNZ13VuvvlmAF588cVa\nXcuagG3bti232KxatcpWi09FEhISeOuttwA444wzytV8LCwsVKWl0tPTK9WD7N+/vwqPDgQCFBQU\nqDyw+Ph4ZSby+/18//33KnjITiHj1XH48GESEhKIi4sLd1MiBofDwb333kv37t0BU4AFAgFVXsoS\n8naeM/Wl2Quw+tRcO+uss5RztKioiLVr19KpUyfAjKibMWMGq1evbrC2RgI7d+5UEWMWp5xyClD7\nvrQSdocNG6ZyWwBef/31E34m0v0a7777Luedd54aD36/X/kovvrqKy688ELlP9R1nf79+/PRRx8B\npkALRtd1WrRooTS0YDRN45133ql1krxd2LhxIx06dFA+nOD8p+bKwIEDGTp0qNrsOBwO/H4/u3fv\nBmp/AGY0Iz4wQRAEwZY0ew2sPur3Cy+8oH7Ozs7G6/WyadMmwAwHHjRokCoPEw3+HTDNWxdddBFL\nlixRr1l5YXfddRcul0vViywoKChXbsnhcJCVlcXMmTMB0zTm9/tVXot1oGdVRGrOi2XeGTt2bLk2\nWod1Alx33XXlTH1+v5/Vq1fTqlUrwCwn9Oijj9KvXz+gsrZpGIYaPwsWLGD69OlRZzbavn07gNI2\nKtbYbE5Yzz81NZUWLVqo+ZGYmIjX62X+/PlA9Pk/60LzHSX1JCEhgczMTHUkiuW/sBaWzz//nNGj\nR0e86asufPHFF8qElZiYqMxm06ZNw+FwMHnyZADef/99nnrqKVq2bAmYC/eNN96oTiq2kjK//PJL\nwDyB9kRE+mTdtGkTHTt2VP3y5Zdf8txzzwGo4sYn4r///S/Z2dnKn2q93/IHFRQUMHfuXMDcJER6\nX9QFt9tdLknXTrlcDY01n9xuN8eOHVPjQtM0ysrK2Lp1azibF1FoRrRt5UIkVAFjvX/06NHcfffd\n6lwsS9Owdo4rV67E5XJxxhlnAIRcmDXSj0SfNGkSYFact6joUA4EAqrGnfV7xWi8vXv38sgjjwCQ\nk5NzwgK5Docj7FGd1fWL2+0mPT2dDh06ALB+/Xqlmebl5YX0PAcNGsTLL7+szsb67rvvOP/88wHK\nHXxqEeljpTZ89NFHnHvuuaqSi1XUt67YuU+s+dK6dWvOOeccrrzySgCGDx/Opk2b6N+/PxCaD0zT\ntKjc+IgPTBAEQbAlYkIMEUu9//Of/0xaWpraZRuGQVJSEosWLQKgW7duLF68OGpNIZZ5bMqUKSqK\nrmJZIV3Xq/VllJWVMW/ePF5++WWg6uNJ7FKZw+v1snv3bnX6smEY5XbiVgRZbfjqq6+YNGmSilJM\nTU3l3HPPBeC9997jyJEjEd8foeLz+dA0TZnimzMtWrQAoEOHDmzYsIHevXsD5nw6ePBgxPqDw4EI\nsBCxFqXevXuTnJxcLtQ3OCR8586d3HjjjWE3ezUW1n1NmzaN+++/HzDDwauruWaZGC0z0dixY6st\n/ht8yKddFuwTJdSGenaYYRjq3o8cOaKSVY8fP26bvgiFrl27YhgG119/fbibElY0TVOpOMnJyTgc\nDuULDQQCzJs3r07h89E4ZkBMiIIgCIJNEQ0sRCzNo02bNnz44YeceeaZACo44ccffwTMSgx2TTat\nTUKy9fdZs2axcuVKAF5++WUSExPV8SgW1gnMEydOZOXKlbZ1Juu63qAHWlZHSUmJ0mYzMzPxeDxA\n9KRjVMQ64dsaK6FSn4IEkURCQoIqjj1gwACSk5PLlaezqnAIJhKFGKFh7naOoqp4rYa6l3APVV3X\ny/nkGrs9Xbp0AaBfv37KH1ZV6ahoGCsJCQlcccUVVdYDDLUd4S6v1FBRiA6Hg5SUFC6//HLANEO/\n8MILdd4Ahnv+NAYiwESAVUL6pGqkXyojfVIZ6ZOmQ3xggiAIgi0RH5hQiWjxJzQ0wf2iaVq5iMtA\nICB9JghNTLM3IQqCIAj2REyIgiAIgi0RASYIgiDYEhFggiAIgi0RASYIgiDYEhFggiAIgi0RASYI\ngiDYEhFggiAIgi1p9onMUvalMpHSJ8HHqUD4S+FESr9URMZKZaRPKhPu+dMYiAYmCIIg2BIRYI1E\nSkpKxO7E7ISu69UekhluKp5CLQiNRdu2bXG5XOFuRkQRuSuDTUlKSiIpKYlevXrhdDrD3RxbY4dz\nw6yjO6LRPCNEBsnJySQnJzNr1iwZZxVo9j6wmJgYtVDWd8H0eDzMmDEDgCFDhvD1119TUFAAwOrV\nq5k7d646DlwGYu2wgxATGgaHw4Hf7w93MyKOLVu2ALB169aoPdC0rogGJgiCINiSZl+N3ul0ql1f\nXbrC8s+0bduW119/nSFDhpR73cIwDDZu3MgLL7wAwIoVK/juu+8A86TVit8dzVFUVt+0b9+eXr16\nsWjRIgClnZ6oTeHWxmrql3AdQxPOsaLreoN9/9ChQ9mwYQMA+fn59bpWtMwft9utTuG+6qqrePPN\nN+t8rWhc6pu9AAt1sPXp0weAZ599lpYtW5KVlQVAYmJitcEGhw8f5rHHHiMnJwcAr9dLcXExUHlg\nhXuxbsgJqGkaHo8HgJYtW9KlSxclqHJycujSpQu9evUCTBNJdYR7qNbUL7qu0759ewBGjRrFqFGj\nAHjzzTfZt2+fMgXl5eURCAQa7BlHiwD76KOP+N3vfgfAzp0763WtaBFgq1evplOnTgCkpaXV61rh\nnj+NQbP3gYVCYmIi//d//wfAaaedRkxMjBJaFQft7t27OXr0KNOmTQNg3rx5+Hy+Wn1PJAw0637q\n0xan00lBQYG61rRp0zh06BC9e/cGoHv37sTExBATEx3D8Nprr+W5554DUEIb4Iorrij3PsMwOHr0\nKBMnTgRg4cKFFBYWhl3DDCdOp5N+/fpJlF0Quq7Tv3//SuNH+AXxgQmCIAi2JDq2vo2M2+0GYNas\nWYwdOxagSq3BMAylcU2dOjUiNKm6Eh8fD6CiKOvCAw88gMvl4qGHHlK/u91u1q5dC5hRZ/n5+ezb\nt6/+DY4AXn/9dRYuXAjAiBEjlDls4MCBOBwO9T5N00hJSWHu3LkA7Nu3j1mzZvHggw8C1Bhppmma\n0vzDHbXXUH6/vn37ouu6GneWadLS3lu0aEFycjKDBg0C4LvvvlNjMzc3F13XVV9ES6ReUlISmqbx\n3nvvhbspEYsIsFrQqlUrwBRQ+/fvB0x/jsfjURNM0zS2bdvG1KlT1XvtSn1t+G3atAFg/PjxfPHF\nF9x///3qb8nJyXTu3BkwQ+Qt81k0UFpayp49ewCYPXs2s2fPLvf3k046CYBXXnkFgJNPPhkwx0pK\nSooyn9VmAY4Uc2OoY8V6v9vtpqSkRAni+fPnk5GRwapVqwCYOXMmQ4cOVf7R2NhYDMNQfZOfn8+m\nTZsAmDFjBuvWrVMbITvPvWDOPfdcAoFA1AjkxkBMiIIgCIItEQ2sBnRdJzY2FoDp06fTsWNHwDQR\nZmVlKWf9gQMH6NevX1Ts/gzDqLPpMCYmhrvuugswTSB/+tOf1N80TePrr79WfbR27VruvvvuiNEm\nGhsrynLYsGFomqYCgiZMmMDBgwfLmRmrI5LGWKjPztLAXC4XJSUl6vMrV65k/Pjxylw/d+5cHnzw\nQWUWDAQCeL3eciZTy4xvmQ/DbU5taE4//fRyZcoi6blHCiLAaiAmJkZNjE2bNrFjxw4Adu3aRdu2\nbVVk4b59+zjttNNYtmwZYE7U1q1bc+DAAQBKSkrC0PqmJSkpiddee43MzEwA9u/fz4EDB1RJreuv\nv542bdrw8ccfA3D77beza9euE14v2DwVbbUGNU3jnnvuAcx+83q9Kt/HToS6qFoC69ixY+Vev+mm\nmxg/fry63rffflvjtaPdtHbeeeehaZra2DSXjV4oSB5YDQtjVlaW8oFt2rRJTapZs2YxatQo5XS2\ndoPWIHO73RiGwb///W/AnKC1DaMHe+WxWO/v27cv77//vtLeXC4XhmEozWPo0KF8/vnnnH/++UD1\nE9LlcvGb3/yGJUuWAKajPty+soYUon369FGJ7Pv27aNv374cOnSoTtey01ip7jrB46G++WXR0CfH\njx8nLi5OrS31vadoXOrFByYIgiDYEtHAatgtjRw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            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=432x288 at 0x7FC9D865B550>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T-LmcpOots6S",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}