AnimeFace_DCGAN.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "AnimeFace DCGAN.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "QgEzhck-tlhS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from google.colab import drive"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1oGoguttuCOV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d8fd55a3-89be-4535-ec92-afb309700ee6"
      },
      "source": [
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cqgOK35Gwkwm",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "9c2fe42b-bbef-4ca5-b4d2-bf9be7d80e2f"
      },
      "source": [
        "# try to run the bare minimum to get a new conda env working\n",
        "conda_path = '/usr/local/bin/conda'\n",
        "try:\n",
        "    conda_path = !which conda\n",
        "finally:\n",
        "    print('')\n",
        "\n",
        "if (len(conda_path) == 0):\n",
        "    print('installing miniconda')\n",
        "    !wget https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh && bash Miniconda3-4.5.4-Linux-x86_64.sh -bfp /usr/local\n",
        "    !conda update conda -y -q\n",
        "    !source /usr/local/etc/profile.d/conda.sh\n",
        "    !conda init \n",
        "    !conda install -n root _license -y -q\n",
        "else:\n",
        "    print('found miniconda')\n",
        "\n",
        "conda_envs = !conda env list\n",
        "res = [i for i in conda_envs if 'test36' in i]\n",
        "if (len(res) == 0):\n",
        "    print('not found test36 env', len(res))\n",
        "    !conda create -y -q --name test36 python=3.6 libarchive cartopy\n",
        "else:\n",
        "    print('found test36 env', len(res))\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "installing miniconda\n",
            "--2020-09-13 09:14:35--  https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh\n",
            "Resolving repo.continuum.io (repo.continuum.io)... 104.18.200.79, 104.18.201.79, 2606:4700::6812:c84f, ...\n",
            "Connecting to repo.continuum.io (repo.continuum.io)|104.18.200.79|:443... connected.\n",
            "HTTP request sent, awaiting response... 301 Moved Permanently\n",
            "Location: https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh [following]\n",
            "--2020-09-13 09:14:35--  https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh\n",
            "Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.130.3, 104.16.131.3, 2606:4700::6810:8203, ...\n",
            "Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.130.3|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 58468498 (56M) [application/x-sh]\n",
            "Saving to: ‘Miniconda3-4.5.4-Linux-x86_64.sh’\n",
            "\n",
            "Miniconda3-4.5.4-Li 100%[===================>]  55.76M   179MB/s    in 0.3s    \n",
            "\n",
            "2020-09-13 09:14:36 (179 MB/s) - ‘Miniconda3-4.5.4-Linux-x86_64.sh’ saved [58468498/58468498]\n",
            "\n",
            "PREFIX=/usr/local\n",
            "installing: python-3.6.5-hc3d631a_2 ...\n",
            "Python 3.6.5 :: Anaconda, Inc.\n",
            "installing: ca-certificates-2018.03.07-0 ...\n",
            "installing: conda-env-2.6.0-h36134e3_1 ...\n",
            "installing: libgcc-ng-7.2.0-hdf63c60_3 ...\n",
            "installing: libstdcxx-ng-7.2.0-hdf63c60_3 ...\n",
            "installing: libffi-3.2.1-hd88cf55_4 ...\n",
            "installing: ncurses-6.1-hf484d3e_0 ...\n",
            "installing: openssl-1.0.2o-h20670df_0 ...\n",
            "installing: tk-8.6.7-hc745277_3 ...\n",
            "installing: xz-5.2.4-h14c3975_4 ...\n",
            "installing: yaml-0.1.7-had09818_2 ...\n",
            "installing: zlib-1.2.11-ha838bed_2 ...\n",
            "installing: libedit-3.1.20170329-h6b74fdf_2 ...\n",
            "installing: readline-7.0-ha6073c6_4 ...\n",
            "installing: sqlite-3.23.1-he433501_0 ...\n",
            "installing: asn1crypto-0.24.0-py36_0 ...\n",
            "installing: certifi-2018.4.16-py36_0 ...\n",
            "installing: chardet-3.0.4-py36h0f667ec_1 ...\n",
            "installing: idna-2.6-py36h82fb2a8_1 ...\n",
            "installing: pycosat-0.6.3-py36h0a5515d_0 ...\n",
            "installing: pycparser-2.18-py36hf9f622e_1 ...\n",
            "installing: pysocks-1.6.8-py36_0 ...\n",
            "installing: ruamel_yaml-0.15.37-py36h14c3975_2 ...\n",
            "installing: six-1.11.0-py36h372c433_1 ...\n",
            "installing: cffi-1.11.5-py36h9745a5d_0 ...\n",
            "installing: setuptools-39.2.0-py36_0 ...\n",
            "installing: cryptography-2.2.2-py36h14c3975_0 ...\n",
            "installing: wheel-0.31.1-py36_0 ...\n",
            "installing: pip-10.0.1-py36_0 ...\n",
            "installing: pyopenssl-18.0.0-py36_0 ...\n",
            "installing: urllib3-1.22-py36hbe7ace6_0 ...\n",
            "installing: requests-2.18.4-py36he2e5f8d_1 ...\n",
            "installing: conda-4.5.4-py36_0 ...\n",
            "installation finished.\n",
            "WARNING:\n",
            "    You currently have a PYTHONPATH environment variable set. This may cause\n",
            "    unexpected behavior when running the Python interpreter in Miniconda3.\n",
            "    For best results, please verify that your PYTHONPATH only points to\n",
            "    directories of packages that are compatible with the Python interpreter\n",
            "    in Miniconda3: /usr/local\n",
            "Solving environment: ...working... done\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local\n",
            "\n",
            "  added / updated specs: \n",
            "    - conda\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    urllib3-1.25.10            |             py_0          93 KB\n",
            "    yaml-0.2.5                 |       h7b6447c_0          87 KB\n",
            "    setuptools-49.6.0          |           py37_0         909 KB\n",
            "    ca-certificates-2020.7.22  |                0         132 KB\n",
            "    libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB\n",
            "    _libgcc_mutex-0.1          |             main           3 KB\n",
            "    xz-5.2.5                   |       h7b6447c_0         438 KB\n",
            "    conda-4.8.4                |           py37_0         3.0 MB\n",
            "    wheel-0.35.1               |             py_0          36 KB\n",
            "    openssl-1.0.2u             |       h7b6447c_0         3.1 MB\n",
            "    tqdm-4.48.2                |             py_0          63 KB\n",
            "    brotlipy-0.7.0             |py37h7b6447c_1000         348 KB\n",
            "    ruamel_yaml-0.15.87        |   py37h7b6447c_1         253 KB\n",
            "    conda-package-handling-1.6.1|   py37h7b6447c_0         886 KB\n",
            "    cryptography-2.3.1         |   py37hc365091_0         585 KB\n",
            "    pycparser-2.20             |             py_2          94 KB\n",
            "    idna-2.10                  |             py_0          56 KB\n",
            "    pip-20.2.2                 |           py37_0         2.0 MB\n",
            "    certifi-2020.6.20          |           py37_0         159 KB\n",
            "    readline-7.0               |       h7b6447c_5         392 KB\n",
            "    asn1crypto-1.4.0           |             py_0          77 KB\n",
            "    libedit-3.1.20181209       |       hc058e9b_0         188 KB\n",
            "    chardet-3.0.4              |        py37_1003         173 KB\n",
            "    pycosat-0.6.3              |   py37h7b6447c_0         107 KB\n",
            "    tk-8.6.10                  |       hbc83047_0         3.2 MB\n",
            "    pysocks-1.7.1              |           py37_1          27 KB\n",
            "    six-1.15.0                 |             py_0          13 KB\n",
            "    zlib-1.2.11                |       h7b6447c_3         120 KB\n",
            "    pyopenssl-19.0.0           |           py37_0          82 KB\n",
            "    python-3.7.0               |       hc3d631a_0        31.7 MB\n",
            "    cffi-1.14.0                |   py37h2e261b9_0         225 KB\n",
            "    requests-2.24.0            |             py_0          54 KB\n",
            "    sqlite-3.31.1              |       h7b6447c_0         2.0 MB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:        58.7 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "    _libgcc_mutex:          0.1-main               \n",
            "    brotlipy:               0.7.0-py37h7b6447c_1000\n",
            "    conda-package-handling: 1.6.1-py37h7b6447c_0   \n",
            "    tqdm:                   4.48.2-py_0            \n",
            "\n",
            "The following packages will be UPDATED:\n",
            "\n",
            "    asn1crypto:             0.24.0-py36_0           --> 1.4.0-py_0             \n",
            "    ca-certificates:        2018.03.07-0            --> 2020.7.22-0            \n",
            "    certifi:                2018.4.16-py36_0        --> 2020.6.20-py37_0       \n",
            "    cffi:                   1.11.5-py36h9745a5d_0   --> 1.14.0-py37h2e261b9_0  \n",
            "    chardet:                3.0.4-py36h0f667ec_1    --> 3.0.4-py37_1003        \n",
            "    conda:                  4.5.4-py36_0            --> 4.8.4-py37_0           \n",
            "    cryptography:           2.2.2-py36h14c3975_0    --> 2.3.1-py37hc365091_0   \n",
            "    idna:                   2.6-py36h82fb2a8_1      --> 2.10-py_0              \n",
            "    libedit:                3.1.20170329-h6b74fdf_2 --> 3.1.20181209-hc058e9b_0\n",
            "    libgcc-ng:              7.2.0-hdf63c60_3        --> 9.1.0-hdf63c60_0       \n",
            "    openssl:                1.0.2o-h20670df_0       --> 1.0.2u-h7b6447c_0      \n",
            "    pip:                    10.0.1-py36_0           --> 20.2.2-py37_0          \n",
            "    pycosat:                0.6.3-py36h0a5515d_0    --> 0.6.3-py37h7b6447c_0   \n",
            "    pycparser:              2.18-py36hf9f622e_1     --> 2.20-py_2              \n",
            "    pyopenssl:              18.0.0-py36_0           --> 19.0.0-py37_0          \n",
            "    pysocks:                1.6.8-py36_0            --> 1.7.1-py37_1           \n",
            "    python:                 3.6.5-hc3d631a_2        --> 3.7.0-hc3d631a_0       \n",
            "    readline:               7.0-ha6073c6_4          --> 7.0-h7b6447c_5         \n",
            "    requests:               2.18.4-py36he2e5f8d_1   --> 2.24.0-py_0            \n",
            "    ruamel_yaml:            0.15.37-py36h14c3975_2  --> 0.15.87-py37h7b6447c_1 \n",
            "    setuptools:             39.2.0-py36_0           --> 49.6.0-py37_0          \n",
            "    six:                    1.11.0-py36h372c433_1   --> 1.15.0-py_0            \n",
            "    sqlite:                 3.23.1-he433501_0       --> 3.31.1-h7b6447c_0      \n",
            "    tk:                     8.6.7-hc745277_3        --> 8.6.10-hbc83047_0      \n",
            "    urllib3:                1.22-py36hbe7ace6_0     --> 1.25.10-py_0           \n",
            "    wheel:                  0.31.1-py36_0           --> 0.35.1-py_0            \n",
            "    xz:                     5.2.4-h14c3975_4        --> 5.2.5-h7b6447c_0       \n",
            "    yaml:                   0.1.7-had09818_2        --> 0.2.5-h7b6447c_0       \n",
            "    zlib:                   1.2.11-ha838bed_2       --> 1.2.11-h7b6447c_3      \n",
            "\n",
            "Preparing transaction: ...working... done\n",
            "Verifying transaction: ...working... done\n",
            "Executing transaction: ...working... done\n",
            "no change     /usr/local/condabin/conda\n",
            "no change     /usr/local/bin/conda\n",
            "no change     /usr/local/bin/conda-env\n",
            "no change     /usr/local/bin/activate\n",
            "no change     /usr/local/bin/deactivate\n",
            "no change     /usr/local/etc/profile.d/conda.sh\n",
            "no change     /usr/local/etc/fish/conf.d/conda.fish\n",
            "no change     /usr/local/shell/condabin/Conda.psm1\n",
            "no change     /usr/local/shell/condabin/conda-hook.ps1\n",
            "no change     /usr/local/lib/python3.7/site-packages/xontrib/conda.xsh\n",
            "no change     /usr/local/etc/profile.d/conda.csh\n",
            "modified      /root/.bashrc\n",
            "\n",
            "==> For changes to take effect, close and re-open your current shell. <==\n",
            "\n",
            "Collecting package metadata (current_repodata.json): ...working... done\n",
            "Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.\n",
            "Collecting package metadata (repodata.json): ...working... done\n",
            "Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.\n",
            "\n",
            "PackagesNotFoundError: The following packages are not available from current channels:\n",
            "\n",
            "  - _license\n",
            "\n",
            "Current channels:\n",
            "\n",
            "  - https://repo.anaconda.com/pkgs/main/linux-64\n",
            "  - https://repo.anaconda.com/pkgs/main/noarch\n",
            "  - https://repo.anaconda.com/pkgs/r/linux-64\n",
            "  - https://repo.anaconda.com/pkgs/r/noarch\n",
            "\n",
            "To search for alternate channels that may provide the conda package you're\n",
            "looking for, navigate to\n",
            "\n",
            "    https://anaconda.org\n",
            "\n",
            "and use the search bar at the top of the page.\n",
            "\n",
            "\n",
            "not found test36 env 0\n",
            "Collecting package metadata (current_repodata.json): ...working... done\n",
            "Solving environment: ...working... done\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local/envs/test36\n",
            "\n",
            "  added / updated specs:\n",
            "    - cartopy\n",
            "    - libarchive\n",
            "    - python=3.6\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    _libgcc_mutex-0.1          |             main           3 KB\n",
            "    blas-1.0                   |              mkl           6 KB\n",
            "    brotlipy-0.7.0             |py36h7b6447c_1000         323 KB\n",
            "    bzip2-1.0.8                |       h7b6447c_0          78 KB\n",
            "    ca-certificates-2020.7.22  |                0         125 KB\n",
            "    cartopy-0.18.0             |   py36hee755e7_0         1.7 MB\n",
            "    certifi-2020.6.20          |           py36_0         156 KB\n",
            "    cffi-1.14.2                |   py36he30daa8_0         227 KB\n",
            "    chardet-3.0.4              |        py36_1003         180 KB\n",
            "    cryptography-3.1           |   py36h1ba5d50_0         562 KB\n",
            "    cycler-0.10.0              |           py36_0          13 KB\n",
            "    dbus-1.13.16               |       hb2f20db_0         501 KB\n",
            "    expat-2.2.9                |       he6710b0_2         156 KB\n",
            "    fontconfig-2.13.0          |       h9420a91_0         227 KB\n",
            "    freetype-2.10.2            |       h5ab3b9f_0         608 KB\n",
            "    geos-3.8.0                 |       he6710b0_0         961 KB\n",
            "    glib-2.65.0                |       h3eb4bd4_0         2.9 MB\n",
            "    gst-plugins-base-1.14.0    |       hbbd80ab_1         4.8 MB\n",
            "    gstreamer-1.14.0           |       hb31296c_0         3.1 MB\n",
            "    icu-58.2                   |       he6710b0_3        10.5 MB\n",
            "    idna-2.10                  |             py_0          50 KB\n",
            "    intel-openmp-2020.2        |              254         786 KB\n",
            "    jpeg-9b                    |       h024ee3a_2         214 KB\n",
            "    kiwisolver-1.2.0           |   py36hfd86e86_0          84 KB\n",
            "    lcms2-2.11                 |       h396b838_0         307 KB\n",
            "    ld_impl_linux-64-2.33.1    |       h53a641e_7         568 KB\n",
            "    libarchive-3.4.2           |       h62408e4_0         796 KB\n",
            "    libedit-3.1.20191231       |       h14c3975_1         116 KB\n",
            "    libffi-3.3                 |       he6710b0_2          50 KB\n",
            "    libgcc-ng-9.1.0            |       hdf63c60_0         5.1 MB\n",
            "    libgfortran-ng-7.3.0       |       hdf63c60_0        1006 KB\n",
            "    libpng-1.6.37              |       hbc83047_0         278 KB\n",
            "    libstdcxx-ng-9.1.0         |       hdf63c60_0         3.1 MB\n",
            "    libtiff-4.1.0              |       h2733197_1         449 KB\n",
            "    libuuid-1.0.3              |       h1bed415_2          15 KB\n",
            "    libxcb-1.14                |       h7b6447c_0         505 KB\n",
            "    libxml2-2.9.10             |       he19cac6_1         1.2 MB\n",
            "    lz4-c-1.9.2                |       he6710b0_1         190 KB\n",
            "    matplotlib-3.3.1           |                0          24 KB\n",
            "    matplotlib-base-3.3.1      |   py36h817c723_0         5.1 MB\n",
            "    mkl-2020.2                 |              256       138.3 MB\n",
            "    mkl-service-2.3.0          |   py36he904b0f_0         219 KB\n",
            "    mkl_fft-1.1.0              |   py36h23d657b_0         144 KB\n",
            "    mkl_random-1.1.1           |   py36h0573a6f_0         327 KB\n",
            "    ncurses-6.2                |       he6710b0_1         817 KB\n",
            "    numpy-1.19.1               |   py36hbc911f0_0          21 KB\n",
            "    numpy-base-1.19.1          |   py36hfa32c7d_0         4.1 MB\n",
            "    olefile-0.46               |           py36_0          48 KB\n",
            "    openssl-1.1.1g             |       h7b6447c_0         2.5 MB\n",
            "    owslib-0.20.0              |             py_0         123 KB\n",
            "    pcre-8.44                  |       he6710b0_0         212 KB\n",
            "    pillow-7.2.0               |   py36hb39fc2d_0         619 KB\n",
            "    pip-20.2.2                 |           py36_0         1.8 MB\n",
            "    proj-6.2.1                 |       haa6030c_0         9.0 MB\n",
            "    pycparser-2.20             |             py_2          94 KB\n",
            "    pyepsg-0.4.0               |           py36_0          26 KB\n",
            "    pykdtree-1.3.1             |   py36hdd07704_2          61 KB\n",
            "    pyopenssl-19.1.0           |             py_1          48 KB\n",
            "    pyparsing-2.4.7            |             py_0          65 KB\n",
            "    pyproj-2.6.1.post1         |   py36hd003209_1         390 KB\n",
            "    pyqt-5.9.2                 |   py36h05f1152_2         4.5 MB\n",
            "    pyshp-2.1.1                |             py_0          35 KB\n",
            "    pysocks-1.7.1              |           py36_0          30 KB\n",
            "    python-3.6.12              |       hcff3b4d_2        29.7 MB\n",
            "    python-dateutil-2.8.1      |             py_0         215 KB\n",
            "    pytz-2020.1                |             py_0         184 KB\n",
            "    pyyaml-5.3.1               |   py36h7b6447c_1         180 KB\n",
            "    qt-5.9.7                   |       h5867ecd_1        68.5 MB\n",
            "    readline-8.0               |       h7b6447c_0         356 KB\n",
            "    requests-2.24.0            |             py_0          56 KB\n",
            "    scipy-1.5.2                |   py36h0b6359f_0        14.4 MB\n",
            "    setuptools-49.6.0          |           py36_0         757 KB\n",
            "    shapely-1.7.1              |   py36h98ec03d_0         392 KB\n",
            "    sip-4.19.8                 |   py36hf484d3e_0         274 KB\n",
            "    six-1.15.0                 |             py_0          13 KB\n",
            "    sqlite-3.33.0              |       h62c20be_0         1.1 MB\n",
            "    tk-8.6.10                  |       hbc83047_0         3.0 MB\n",
            "    tornado-6.0.4              |   py36h7b6447c_1         597 KB\n",
            "    urllib3-1.25.10            |             py_0          98 KB\n",
            "    wheel-0.35.1               |             py_0          37 KB\n",
            "    xz-5.2.5                   |       h7b6447c_0         341 KB\n",
            "    yaml-0.2.5                 |       h7b6447c_0          75 KB\n",
            "    zlib-1.2.11                |       h7b6447c_3         103 KB\n",
            "    zstd-1.4.5                 |       h9ceee32_0         619 KB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:       331.1 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main\n",
            "  blas               pkgs/main/linux-64::blas-1.0-mkl\n",
            "  brotlipy           pkgs/main/linux-64::brotlipy-0.7.0-py36h7b6447c_1000\n",
            "  bzip2              pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0\n",
            "  ca-certificates    pkgs/main/linux-64::ca-certificates-2020.7.22-0\n",
            "  cartopy            pkgs/main/linux-64::cartopy-0.18.0-py36hee755e7_0\n",
            "  certifi            pkgs/main/linux-64::certifi-2020.6.20-py36_0\n",
            "  cffi               pkgs/main/linux-64::cffi-1.14.2-py36he30daa8_0\n",
            "  chardet            pkgs/main/linux-64::chardet-3.0.4-py36_1003\n",
            "  cryptography       pkgs/main/linux-64::cryptography-3.1-py36h1ba5d50_0\n",
            "  cycler             pkgs/main/linux-64::cycler-0.10.0-py36_0\n",
            "  dbus               pkgs/main/linux-64::dbus-1.13.16-hb2f20db_0\n",
            "  expat              pkgs/main/linux-64::expat-2.2.9-he6710b0_2\n",
            "  fontconfig         pkgs/main/linux-64::fontconfig-2.13.0-h9420a91_0\n",
            "  freetype           pkgs/main/linux-64::freetype-2.10.2-h5ab3b9f_0\n",
            "  geos               pkgs/main/linux-64::geos-3.8.0-he6710b0_0\n",
            "  glib               pkgs/main/linux-64::glib-2.65.0-h3eb4bd4_0\n",
            "  gst-plugins-base   pkgs/main/linux-64::gst-plugins-base-1.14.0-hbbd80ab_1\n",
            "  gstreamer          pkgs/main/linux-64::gstreamer-1.14.0-hb31296c_0\n",
            "  icu                pkgs/main/linux-64::icu-58.2-he6710b0_3\n",
            "  idna               pkgs/main/noarch::idna-2.10-py_0\n",
            "  intel-openmp       pkgs/main/linux-64::intel-openmp-2020.2-254\n",
            "  jpeg               pkgs/main/linux-64::jpeg-9b-h024ee3a_2\n",
            "  kiwisolver         pkgs/main/linux-64::kiwisolver-1.2.0-py36hfd86e86_0\n",
            "  lcms2              pkgs/main/linux-64::lcms2-2.11-h396b838_0\n",
            "  ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7\n",
            "  libarchive         pkgs/main/linux-64::libarchive-3.4.2-h62408e4_0\n",
            "  libedit            pkgs/main/linux-64::libedit-3.1.20191231-h14c3975_1\n",
            "  libffi             pkgs/main/linux-64::libffi-3.3-he6710b0_2\n",
            "  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0\n",
            "  libgfortran-ng     pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0\n",
            "  libpng             pkgs/main/linux-64::libpng-1.6.37-hbc83047_0\n",
            "  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0\n",
            "  libtiff            pkgs/main/linux-64::libtiff-4.1.0-h2733197_1\n",
            "  libuuid            pkgs/main/linux-64::libuuid-1.0.3-h1bed415_2\n",
            "  libxcb             pkgs/main/linux-64::libxcb-1.14-h7b6447c_0\n",
            "  libxml2            pkgs/main/linux-64::libxml2-2.9.10-he19cac6_1\n",
            "  lz4-c              pkgs/main/linux-64::lz4-c-1.9.2-he6710b0_1\n",
            "  matplotlib         pkgs/main/linux-64::matplotlib-3.3.1-0\n",
            "  matplotlib-base    pkgs/main/linux-64::matplotlib-base-3.3.1-py36h817c723_0\n",
            "  mkl                pkgs/main/linux-64::mkl-2020.2-256\n",
            "  mkl-service        pkgs/main/linux-64::mkl-service-2.3.0-py36he904b0f_0\n",
            "  mkl_fft            pkgs/main/linux-64::mkl_fft-1.1.0-py36h23d657b_0\n",
            "  mkl_random         pkgs/main/linux-64::mkl_random-1.1.1-py36h0573a6f_0\n",
            "  ncurses            pkgs/main/linux-64::ncurses-6.2-he6710b0_1\n",
            "  numpy              pkgs/main/linux-64::numpy-1.19.1-py36hbc911f0_0\n",
            "  numpy-base         pkgs/main/linux-64::numpy-base-1.19.1-py36hfa32c7d_0\n",
            "  olefile            pkgs/main/linux-64::olefile-0.46-py36_0\n",
            "  openssl            pkgs/main/linux-64::openssl-1.1.1g-h7b6447c_0\n",
            "  owslib             pkgs/main/noarch::owslib-0.20.0-py_0\n",
            "  pcre               pkgs/main/linux-64::pcre-8.44-he6710b0_0\n",
            "  pillow             pkgs/main/linux-64::pillow-7.2.0-py36hb39fc2d_0\n",
            "  pip                pkgs/main/linux-64::pip-20.2.2-py36_0\n",
            "  proj               pkgs/main/linux-64::proj-6.2.1-haa6030c_0\n",
            "  pycparser          pkgs/main/noarch::pycparser-2.20-py_2\n",
            "  pyepsg             pkgs/main/linux-64::pyepsg-0.4.0-py36_0\n",
            "  pykdtree           pkgs/main/linux-64::pykdtree-1.3.1-py36hdd07704_2\n",
            "  pyopenssl          pkgs/main/noarch::pyopenssl-19.1.0-py_1\n",
            "  pyparsing          pkgs/main/noarch::pyparsing-2.4.7-py_0\n",
            "  pyproj             pkgs/main/linux-64::pyproj-2.6.1.post1-py36hd003209_1\n",
            "  pyqt               pkgs/main/linux-64::pyqt-5.9.2-py36h05f1152_2\n",
            "  pyshp              pkgs/main/noarch::pyshp-2.1.1-py_0\n",
            "  pysocks            pkgs/main/linux-64::pysocks-1.7.1-py36_0\n",
            "  python             pkgs/main/linux-64::python-3.6.12-hcff3b4d_2\n",
            "  python-dateutil    pkgs/main/noarch::python-dateutil-2.8.1-py_0\n",
            "  pytz               pkgs/main/noarch::pytz-2020.1-py_0\n",
            "  pyyaml             pkgs/main/linux-64::pyyaml-5.3.1-py36h7b6447c_1\n",
            "  qt                 pkgs/main/linux-64::qt-5.9.7-h5867ecd_1\n",
            "  readline           pkgs/main/linux-64::readline-8.0-h7b6447c_0\n",
            "  requests           pkgs/main/noarch::requests-2.24.0-py_0\n",
            "  scipy              pkgs/main/linux-64::scipy-1.5.2-py36h0b6359f_0\n",
            "  setuptools         pkgs/main/linux-64::setuptools-49.6.0-py36_0\n",
            "  shapely            pkgs/main/linux-64::shapely-1.7.1-py36h98ec03d_0\n",
            "  sip                pkgs/main/linux-64::sip-4.19.8-py36hf484d3e_0\n",
            "  six                pkgs/main/noarch::six-1.15.0-py_0\n",
            "  sqlite             pkgs/main/linux-64::sqlite-3.33.0-h62c20be_0\n",
            "  tk                 pkgs/main/linux-64::tk-8.6.10-hbc83047_0\n",
            "  tornado            pkgs/main/linux-64::tornado-6.0.4-py36h7b6447c_1\n",
            "  urllib3            pkgs/main/noarch::urllib3-1.25.10-py_0\n",
            "  wheel              pkgs/main/noarch::wheel-0.35.1-py_0\n",
            "  xz                 pkgs/main/linux-64::xz-5.2.5-h7b6447c_0\n",
            "  yaml               pkgs/main/linux-64::yaml-0.2.5-h7b6447c_0\n",
            "  zlib               pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3\n",
            "  zstd               pkgs/main/linux-64::zstd-1.4.5-h9ceee32_0\n",
            "\n",
            "\n",
            "Preparing transaction: ...working... done\n",
            "Verifying transaction: ...working... done\n",
            "Executing transaction: ...working... done\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X6pdEdhILb27",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "28b36637-4d7a-4bbe-ffc1-007d9ba6ebf2"
      },
      "source": [
        "!which conda\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/bin/conda\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9BecoWkWLiPD",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "a9155849-53a3-4d33-c887-2b7175e9759e"
      },
      "source": [
        "%%bash\n",
        "source activate test36\n",
        "conda env list\n",
        "conda list\n",
        "python\n",
        "import sys\n",
        "#import libarchive\n",
        "# maybe only need this the first time we run this notebook\n",
        "sys.path.append('/usr/local/lib/python3.6/site-packages')\n",
        "\n",
        "print(\"Python version\")\n",
        "print(sys.version)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "# conda environments:\n",
            "#\n",
            "base                     /usr/local\n",
            "test36                *  /usr/local/envs/test36\n",
            "\n",
            "# packages in environment at /usr/local/envs/test36:\n",
            "#\n",
            "# Name                    Version                   Build  Channel\n",
            "_libgcc_mutex             0.1                        main  \n",
            "blas                      1.0                         mkl  \n",
            "brotlipy                  0.7.0           py36h7b6447c_1000  \n",
            "bzip2                     1.0.8                h7b6447c_0  \n",
            "ca-certificates           2020.7.22                     0  \n",
            "cartopy                   0.18.0           py36hee755e7_0  \n",
            "certifi                   2020.6.20                py36_0  \n",
            "cffi                      1.14.2           py36he30daa8_0  \n",
            "chardet                   3.0.4                 py36_1003  \n",
            "cryptography              3.1              py36h1ba5d50_0  \n",
            "cycler                    0.10.0                   py36_0  \n",
            "dbus                      1.13.16              hb2f20db_0  \n",
            "expat                     2.2.9                he6710b0_2  \n",
            "fontconfig                2.13.0               h9420a91_0  \n",
            "freetype                  2.10.2               h5ab3b9f_0  \n",
            "geos                      3.8.0                he6710b0_0  \n",
            "glib                      2.65.0               h3eb4bd4_0  \n",
            "gst-plugins-base          1.14.0               hbbd80ab_1  \n",
            "gstreamer                 1.14.0               hb31296c_0  \n",
            "icu                       58.2                 he6710b0_3  \n",
            "idna                      2.10                       py_0  \n",
            "intel-openmp              2020.2                      254  \n",
            "jpeg                      9b                   h024ee3a_2  \n",
            "kiwisolver                1.2.0            py36hfd86e86_0  \n",
            "lcms2                     2.11                 h396b838_0  \n",
            "ld_impl_linux-64          2.33.1               h53a641e_7  \n",
            "libarchive                3.4.2                h62408e4_0  \n",
            "libedit                   3.1.20191231         h14c3975_1  \n",
            "libffi                    3.3                  he6710b0_2  \n",
            "libgcc-ng                 9.1.0                hdf63c60_0  \n",
            "libgfortran-ng            7.3.0                hdf63c60_0  \n",
            "libpng                    1.6.37               hbc83047_0  \n",
            "libstdcxx-ng              9.1.0                hdf63c60_0  \n",
            "libtiff                   4.1.0                h2733197_1  \n",
            "libuuid                   1.0.3                h1bed415_2  \n",
            "libxcb                    1.14                 h7b6447c_0  \n",
            "libxml2                   2.9.10               he19cac6_1  \n",
            "lz4-c                     1.9.2                he6710b0_1  \n",
            "matplotlib                3.3.1                         0  \n",
            "matplotlib-base           3.3.1            py36h817c723_0  \n",
            "mkl                       2020.2                      256  \n",
            "mkl-service               2.3.0            py36he904b0f_0  \n",
            "mkl_fft                   1.1.0            py36h23d657b_0  \n",
            "mkl_random                1.1.1            py36h0573a6f_0  \n",
            "ncurses                   6.2                  he6710b0_1  \n",
            "numpy                     1.19.1           py36hbc911f0_0  \n",
            "numpy-base                1.19.1           py36hfa32c7d_0  \n",
            "olefile                   0.46                     py36_0  \n",
            "openssl                   1.1.1g               h7b6447c_0  \n",
            "owslib                    0.20.0                     py_0  \n",
            "pcre                      8.44                 he6710b0_0  \n",
            "pillow                    7.2.0            py36hb39fc2d_0  \n",
            "pip                       20.2.2                   py36_0  \n",
            "proj                      6.2.1                haa6030c_0  \n",
            "pycparser                 2.20                       py_2  \n",
            "pyepsg                    0.4.0                    py36_0  \n",
            "pykdtree                  1.3.1            py36hdd07704_2  \n",
            "pyopenssl                 19.1.0                     py_1  \n",
            "pyparsing                 2.4.7                      py_0  \n",
            "pyproj                    2.6.1.post1      py36hd003209_1  \n",
            "pyqt                      5.9.2            py36h05f1152_2  \n",
            "pyshp                     2.1.1                      py_0  \n",
            "pysocks                   1.7.1                    py36_0  \n",
            "python                    3.6.12               hcff3b4d_2  \n",
            "python-dateutil           2.8.1                      py_0  \n",
            "pytz                      2020.1                     py_0  \n",
            "pyyaml                    5.3.1            py36h7b6447c_1  \n",
            "qt                        5.9.7                h5867ecd_1  \n",
            "readline                  8.0                  h7b6447c_0  \n",
            "requests                  2.24.0                     py_0  \n",
            "scipy                     1.5.2            py36h0b6359f_0  \n",
            "setuptools                49.6.0                   py36_0  \n",
            "shapely                   1.7.1            py36h98ec03d_0  \n",
            "sip                       4.19.8           py36hf484d3e_0  \n",
            "six                       1.15.0                     py_0  \n",
            "sqlite                    3.33.0               h62c20be_0  \n",
            "tk                        8.6.10               hbc83047_0  \n",
            "tornado                   6.0.4            py36h7b6447c_1  \n",
            "urllib3                   1.25.10                    py_0  \n",
            "wheel                     0.35.1                     py_0  \n",
            "xz                        5.2.5                h7b6447c_0  \n",
            "yaml                      0.2.5                h7b6447c_0  \n",
            "zlib                      1.2.11               h7b6447c_3  \n",
            "zstd                      1.4.5                h9ceee32_0  \n",
            "Python version\n",
            "3.6.12 |Anaconda, Inc.| (default, Sep  8 2020, 23:10:56) \n",
            "[GCC 7.3.0]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qpZXUe6WvdFH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "78b09245-8ac4-4d36-d196-49b67283f84e"
      },
      "source": [
        "!pip install -r \"/content/drive/My Drive/requirements.txt\"\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting absl-py==0.5.0\n",
            "  Downloading absl-py-0.5.0.tar.gz (90 kB)\n",
            "\u001b[?25l\r\u001b[K     |███▋                            | 10 kB 12.0 MB/s eta 0:00:01\r\u001b[K     |███████▎                        | 20 kB 2.1 MB/s eta 0:00:01\r\u001b[K     |███████████                     | 30 kB 2.7 MB/s eta 0:00:01\r\u001b[K     |██████████████▋                 | 40 kB 3.0 MB/s eta 0:00:01\r\u001b[K     |██████████████████▏             | 51 kB 2.5 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▉          | 61 kB 2.7 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▌      | 71 kB 3.0 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▏  | 81 kB 3.3 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 90 kB 2.8 MB/s \n",
            "\u001b[?25hCollecting animeface==1.1.0\n",
            "  Downloading animeface-1.1.0-cp37-cp37m-manylinux1_x86_64.whl (2.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.8 MB 10.9 MB/s \n",
            "\u001b[?25hCollecting astor==0.7.1\n",
            "  Downloading astor-0.7.1-py2.py3-none-any.whl (27 kB)\n",
            "Collecting certifi==2018.10.15\n",
            "  Downloading certifi-2018.10.15-py2.py3-none-any.whl (146 kB)\n",
            "\u001b[K     |████████████████████████████████| 146 kB 39.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: chardet==3.0.4 in /usr/local/lib/python3.7/site-packages (from -r /content/drive/My Drive/requirements.txt (line 5)) (3.0.4)\n",
            "Collecting cloudpickle==0.6.1\n",
            "  Downloading cloudpickle-0.6.1-py2.py3-none-any.whl (14 kB)\n",
            "Collecting cycler==0.10.0\n",
            "  Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)\n",
            "Collecting dask==0.20.2\n",
            "  Downloading dask-0.20.2-py2.py3-none-any.whl (686 kB)\n",
            "\u001b[K     |████████████████████████████████| 686 kB 39.5 MB/s \n",
            "\u001b[?25hCollecting decorator==4.3.0\n",
            "  Downloading decorator-4.3.0-py2.py3-none-any.whl (9.2 kB)\n",
            "Collecting gallery-dl==1.5.3\n",
            "  Downloading gallery_dl-1.5.3-py3-none-any.whl (208 kB)\n",
            "\u001b[K     |████████████████████████████████| 208 kB 40.7 MB/s \n",
            "\u001b[?25hCollecting gast==0.2.0\n",
            "  Downloading gast-0.2.0.tar.gz (9.4 kB)\n",
            "Collecting grpcio==1.15.0\n",
            "  Downloading grpcio-1.15.0-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 9.5 MB 53.7 MB/s \n",
            "\u001b[?25hCollecting h5py==2.8.0\n",
            "  Downloading h5py-2.8.0-cp37-cp37m-manylinux1_x86_64.whl (2.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.8 MB 75.1 MB/s \n",
            "\u001b[?25hCollecting idna==2.7\n",
            "  Downloading idna-2.7-py2.py3-none-any.whl (58 kB)\n",
            "\u001b[K     |████████████████████████████████| 58 kB 7.2 MB/s \n",
            "\u001b[?25hCollecting Keras==2.2.4\n",
            "  Downloading Keras-2.2.4-py2.py3-none-any.whl (312 kB)\n",
            "\u001b[K     |████████████████████████████████| 312 kB 70.7 MB/s \n",
            "\u001b[?25hCollecting Keras-Applications==1.0.6\n",
            "  Downloading Keras_Applications-1.0.6-py2.py3-none-any.whl (44 kB)\n",
            "\u001b[K     |████████████████████████████████| 44 kB 3.0 MB/s \n",
            "\u001b[?25hCollecting Keras-Preprocessing==1.0.5\n",
            "  Downloading Keras_Preprocessing-1.0.5-py2.py3-none-any.whl (30 kB)\n",
            "Collecting kiwisolver==1.0.1\n",
            "  Downloading kiwisolver-1.0.1-cp37-cp37m-manylinux1_x86_64.whl (89 kB)\n",
            "\u001b[K     |████████████████████████████████| 89 kB 10.0 MB/s \n",
            "\u001b[?25hCollecting Markdown==3.0.1\n",
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            "\u001b[K     |████████████████████████████████| 89 kB 9.7 MB/s \n",
            "\u001b[?25hCollecting matplotlib==3.0.0\n",
            "  Downloading matplotlib-3.0.0-cp37-cp37m-manylinux1_x86_64.whl (12.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 12.8 MB 50 kB/s \n",
            "\u001b[?25hCollecting networkx==2.2\n",
            "  Downloading networkx-2.2.zip (1.7 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.7 MB 63.2 MB/s \n",
            "\u001b[?25hCollecting numpy==1.15.2\n",
            "  Downloading numpy-1.15.2-cp37-cp37m-manylinux1_x86_64.whl (13.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 13.8 MB 35 kB/s \n",
            "\u001b[?25hCollecting Pillow==5.3.0\n",
            "  Downloading Pillow-5.3.0-cp37-cp37m-manylinux1_x86_64.whl (2.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.0 MB 59.5 MB/s \n",
            "\u001b[?25hCollecting protobuf==3.6.1\n",
            "  Downloading protobuf-3.6.1-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.1 MB 58.3 MB/s \n",
            "\u001b[?25hCollecting pydot==1.2.4\n",
            "  Downloading pydot-1.2.4.tar.gz (132 kB)\n",
            "\u001b[K     |████████████████████████████████| 132 kB 79.8 MB/s \n",
            "\u001b[?25hCollecting pyparsing==2.2.2\n",
            "  Downloading pyparsing-2.2.2-py2.py3-none-any.whl (57 kB)\n",
            "\u001b[K     |████████████████████████████████| 57 kB 6.5 MB/s \n",
            "\u001b[?25hCollecting python-dateutil==2.7.3\n",
            "  Downloading python_dateutil-2.7.3-py2.py3-none-any.whl (211 kB)\n",
            "\u001b[K     |████████████████████████████████| 211 kB 79.5 MB/s \n",
            "\u001b[?25hCollecting PyWavelets==1.0.1\n",
            "  Downloading PyWavelets-1.0.1-cp37-cp37m-manylinux1_x86_64.whl (4.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.4 MB 53.9 MB/s \n",
            "\u001b[?25hCollecting PyYAML==3.13\n",
            "  Downloading PyYAML-3.13.tar.gz (270 kB)\n",
            "\u001b[K     |████████████████████████████████| 270 kB 73.4 MB/s \n",
            "\u001b[?25hCollecting requests==2.20.0\n",
            "  Downloading requests-2.20.0-py2.py3-none-any.whl (60 kB)\n",
            "\u001b[K     |████████████████████████████████| 60 kB 9.7 MB/s \n",
            "\u001b[?25hCollecting scikit-image==0.14.1\n",
            "  Downloading scikit_image-0.14.1-cp37-cp37m-manylinux1_x86_64.whl (25.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 25.3 MB 40 kB/s \n",
            "\u001b[?25hCollecting scipy==1.1.0\n",
            "  Downloading scipy-1.1.0-cp37-cp37m-manylinux1_x86_64.whl (31.2 MB)\n",
            "\u001b[K     |████████████████████████████████| 31.2 MB 59 kB/s \n",
            "\u001b[?25hCollecting six==1.11.0\n",
            "  Downloading six-1.11.0-py2.py3-none-any.whl (10 kB)\n",
            "Collecting tensorboard==1.11.0\n",
            "  Downloading tensorboard-1.11.0-py3-none-any.whl (3.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.0 MB 20.8 MB/s \n",
            "\u001b[31mERROR: Could not find a version that satisfies the requirement tensorflow==1.11.0 (from -r /content/drive/My Drive/requirements.txt (line 35)) (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 1.15.2, 1.15.3, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.0.2, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0, 2.1.1, 2.2.0rc0, 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0, 2.3.0rc0, 2.3.0rc1, 2.3.0rc2, 2.3.0)\u001b[0m\n",
            "\u001b[31mERROR: No matching distribution found for tensorflow==1.11.0 (from -r /content/drive/My Drive/requirements.txt (line 35))\u001b[0m\n",
            "\u001b[?25h"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jyzzMzsLNkww",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "ee729af0-497e-491e-cb20-9e686abbf56a"
      },
      "source": [
        "!pip install ipykernel\n",
        "\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting ipykernel\n",
            "  Downloading ipykernel-5.3.4-py3-none-any.whl (120 kB)\n",
            "\u001b[?25l\r\u001b[K     |██▊                             | 10 kB 38.3 MB/s eta 0:00:01\r\u001b[K     |█████▍                          | 20 kB 2.1 MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 30 kB 2.8 MB/s eta 0:00:01\r\u001b[K     |██████████▉                     | 40 kB 3.1 MB/s eta 0:00:01\r\u001b[K     |█████████████▋                  | 51 kB 2.5 MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 61 kB 2.8 MB/s eta 0:00:01\r\u001b[K     |███████████████████             | 71 kB 3.0 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▊          | 81 kB 3.3 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▌       | 92 kB 3.5 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▏    | 102 kB 3.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 112 kB 3.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 120 kB 3.4 MB/s \n",
            "\u001b[?25hCollecting traitlets>=4.1.0\n",
            "  Downloading traitlets-5.0.4-py3-none-any.whl (98 kB)\n",
            "\u001b[K     |████████████████████████████████| 98 kB 6.0 MB/s \n",
            "\u001b[?25hCollecting tornado>=4.2\n",
            "  Downloading tornado-6.0.4.tar.gz (496 kB)\n",
            "\u001b[K     |████████████████████████████████| 496 kB 10.5 MB/s \n",
            "\u001b[?25hCollecting jupyter-client\n",
            "  Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB)\n",
            "\u001b[K     |████████████████████████████████| 108 kB 16.6 MB/s \n",
            "\u001b[?25hCollecting ipython>=5.0.0\n",
            "  Downloading ipython-7.18.1-py3-none-any.whl (786 kB)\n",
            "\u001b[K     |████████████████████████████████| 786 kB 16.6 MB/s \n",
            "\u001b[?25hCollecting ipython-genutils\n",
            "  Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB)\n",
            "Collecting jupyter-core>=4.6.0\n",
            "  Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB)\n",
            "\u001b[K     |████████████████████████████████| 83 kB 2.0 MB/s \n",
            "\u001b[?25hCollecting pyzmq>=13\n",
            "  Downloading pyzmq-19.0.2-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.1 MB 19.9 MB/s \n",
            "\u001b[?25hRequirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/site-packages (from jupyter-client->ipykernel) (2.8.1)\n",
            "Collecting decorator\n",
            "  Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB)\n",
            "Collecting pickleshare\n",
            "  Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB)\n",
            "Collecting pygments\n",
            "  Downloading Pygments-2.7.0-py3-none-any.whl (950 kB)\n",
            "\u001b[K     |████████████████████████████████| 950 kB 30.9 MB/s \n",
            "\u001b[?25hCollecting backcall\n",
            "  Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB)\n",
            "Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0\n",
            "  Downloading prompt_toolkit-3.0.7-py3-none-any.whl (355 kB)\n",
            "\u001b[K     |████████████████████████████████| 355 kB 54.2 MB/s \n",
            "\u001b[?25hCollecting pexpect>4.3; sys_platform != \"win32\"\n",
            "  Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB)\n",
            "\u001b[K     |████████████████████████████████| 59 kB 7.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.7/site-packages (from ipython>=5.0.0->ipykernel) (49.6.0.post20200814)\n",
            "Collecting jedi>=0.10\n",
            "  Downloading jedi-0.17.2-py2.py3-none-any.whl (1.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.4 MB 42.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/site-packages (from python-dateutil>=2.1->jupyter-client->ipykernel) (1.15.0)\n",
            "Collecting wcwidth\n",
            "  Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB)\n",
            "Collecting ptyprocess>=0.5\n",
            "  Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB)\n",
            "Collecting parso<0.8.0,>=0.7.0\n",
            "  Downloading parso-0.7.1-py2.py3-none-any.whl (109 kB)\n",
            "\u001b[K     |████████████████████████████████| 109 kB 65.6 MB/s \n",
            "\u001b[?25hBuilding wheels for collected packages: tornado\n",
            "  Building wheel for tornado (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for tornado: filename=tornado-6.0.4-cp37-cp37m-linux_x86_64.whl size=428568 sha256=d14b1c63430900427deff5b2284a8ae5f823a94c9608bf4ebad64645de1c8b0d\n",
            "  Stored in directory: /root/.cache/pip/wheels/7d/14/fa/d88fb5da77d813ea0ffca38a2ab2a052874e9e1142bad0b348\n",
            "Successfully built tornado\n",
            "Installing collected packages: ipython-genutils, traitlets, tornado, jupyter-core, pyzmq, jupyter-client, decorator, pickleshare, pygments, backcall, wcwidth, prompt-toolkit, ptyprocess, pexpect, parso, jedi, ipython, ipykernel\n",
            "Successfully installed backcall-0.2.0 decorator-4.4.2 ipykernel-5.3.4 ipython-7.18.1 ipython-genutils-0.2.0 jedi-0.17.2 jupyter-client-6.1.7 jupyter-core-4.6.3 parso-0.7.1 pexpect-4.8.0 pickleshare-0.7.5 prompt-toolkit-3.0.7 ptyprocess-0.6.0 pygments-2.7.0 pyzmq-19.0.2 tornado-6.0.4 traitlets-5.0.4 wcwidth-0.2.5\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "decorator",
                  "ipython_genutils",
                  "jupyter_core",
                  "pexpect",
                  "pickleshare",
                  "wcwidth",
                  "zmq"
                ]
              }
            }
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4v44Eiq2vdP8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "756de32d-be17-4118-9820-12dab9262858"
      },
      "source": [
        "!python3 \"/content/drive/My Drive/train.py\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "d_loss :  0.33340683579444885\n",
            "g_loss: 1.9371888637542725\n",
            "Epoch:4783, dis_loss:0.3377157002687454\n",
            "Epoch:4783, gen_loss: 2.1138391494750977\n",
            "Batch:2\n",
            "d_loss :  0.3367138206958771\n",
            "g_loss: 2.476284980773926\n",
            "Epoch:4783, dis_loss:0.3373817404111226\n",
            "Epoch:4783, gen_loss: 2.234654426574707\n",
            "Batch:3\n",
            "d_loss :  0.3541821241378784\n",
            "g_loss: 2.1290392875671387\n",
            "Epoch:4783, dis_loss:0.3415818363428116\n",
            "Epoch:4783, gen_loss: 2.208250641822815\n",
            "--------------------------\n",
            "Epoch is 4784\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3370189219713211\n",
            "g_loss: 2.4027099609375\n",
            "Epoch:4784, dis_loss:0.3370189219713211\n",
            "Epoch:4784, gen_loss: 2.4027099609375\n",
            "Batch:1\n",
            "d_loss :  0.3381716161966324\n",
            "g_loss: 2.2747535705566406\n",
            "Epoch:4784, dis_loss:0.33759526908397675\n",
            "Epoch:4784, gen_loss: 2.3387317657470703\n",
            "Batch:2\n",
            "d_loss :  0.34270359575748444\n",
            "g_loss: 2.3565573692321777\n",
            "Epoch:4784, dis_loss:0.3392980446418126\n",
            "Epoch:4784, gen_loss: 2.3446736335754395\n",
            "Batch:3\n",
            "d_loss :  0.3407345116138458\n",
            "g_loss: 2.4301652908325195\n",
            "Epoch:4784, dis_loss:0.33965716138482094\n",
            "Epoch:4784, gen_loss: 2.3660465478897095\n",
            "--------------------------\n",
            "Epoch is 4785\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3648112863302231\n",
            "g_loss: 2.681204319000244\n",
            "Epoch:4785, dis_loss:0.3648112863302231\n",
            "Epoch:4785, gen_loss: 2.681204319000244\n",
            "Batch:1\n",
            "d_loss :  0.3636433035135269\n",
            "g_loss: 2.440732955932617\n",
            "Epoch:4785, dis_loss:0.364227294921875\n",
            "Epoch:4785, gen_loss: 2.5609686374664307\n",
            "Batch:2\n",
            "d_loss :  0.34153491258621216\n",
            "g_loss: 2.234657049179077\n",
            "Epoch:4785, dis_loss:0.35666316747665405\n",
            "Epoch:4785, gen_loss: 2.452198108037313\n",
            "Batch:3\n",
            "d_loss :  0.34171605110168457\n",
            "g_loss: 1.9413259029388428\n",
            "Epoch:4785, dis_loss:0.3529263883829117\n",
            "Epoch:4785, gen_loss: 2.3244800567626953\n",
            "--------------------------\n",
            "Epoch is 4786\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34761327505111694\n",
            "g_loss: 2.768115282058716\n",
            "Epoch:4786, dis_loss:0.34761327505111694\n",
            "Epoch:4786, gen_loss: 2.768115282058716\n",
            "Batch:1\n",
            "d_loss :  0.3384476900100708\n",
            "g_loss: 2.3436169624328613\n",
            "Epoch:4786, dis_loss:0.34303048253059387\n",
            "Epoch:4786, gen_loss: 2.5558661222457886\n",
            "Batch:2\n",
            "d_loss :  0.34566082060337067\n",
            "g_loss: 2.1308860778808594\n",
            "Epoch:4786, dis_loss:0.34390726188818616\n",
            "Epoch:4786, gen_loss: 2.414206107457479\n",
            "Batch:3\n",
            "d_loss :  0.33862704038619995\n",
            "g_loss: 2.625669479370117\n",
            "Epoch:4786, dis_loss:0.3425872065126896\n",
            "Epoch:4786, gen_loss: 2.4670719504356384\n",
            "--------------------------\n",
            "Epoch is 4787\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35633037984371185\n",
            "g_loss: 2.5673389434814453\n",
            "Epoch:4787, dis_loss:0.35633037984371185\n",
            "Epoch:4787, gen_loss: 2.5673389434814453\n",
            "Batch:1\n",
            "d_loss :  0.33257681131362915\n",
            "g_loss: 1.8950101137161255\n",
            "Epoch:4787, dis_loss:0.3444535955786705\n",
            "Epoch:4787, gen_loss: 2.2311745285987854\n",
            "Batch:2\n",
            "d_loss :  0.34332993626594543\n",
            "g_loss: 2.25577712059021\n",
            "Epoch:4787, dis_loss:0.34407904247442883\n",
            "Epoch:4787, gen_loss: 2.2393753925959268\n",
            "Batch:3\n",
            "d_loss :  0.34328746795654297\n",
            "g_loss: 2.1717653274536133\n",
            "Epoch:4787, dis_loss:0.34388114884495735\n",
            "Epoch:4787, gen_loss: 2.2224728763103485\n",
            "--------------------------\n",
            "Epoch is 4788\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3481573462486267\n",
            "g_loss: 2.0683207511901855\n",
            "Epoch:4788, dis_loss:0.3481573462486267\n",
            "Epoch:4788, gen_loss: 2.0683207511901855\n",
            "Batch:1\n",
            "d_loss :  0.33672550320625305\n",
            "g_loss: 2.093785285949707\n",
            "Epoch:4788, dis_loss:0.3424414247274399\n",
            "Epoch:4788, gen_loss: 2.0810530185699463\n",
            "Batch:2\n",
            "d_loss :  0.3307786285877228\n",
            "g_loss: 2.3565473556518555\n",
            "Epoch:4788, dis_loss:0.33855382601420086\n",
            "Epoch:4788, gen_loss: 2.172884464263916\n",
            "Batch:3\n",
            "d_loss :  0.343899205327034\n",
            "g_loss: 2.1174917221069336\n",
            "Epoch:4788, dis_loss:0.33989017084240913\n",
            "Epoch:4788, gen_loss: 2.1590362787246704\n",
            "--------------------------\n",
            "Epoch is 4789\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3345721662044525\n",
            "g_loss: 2.3395309448242188\n",
            "Epoch:4789, dis_loss:0.3345721662044525\n",
            "Epoch:4789, gen_loss: 2.3395309448242188\n",
            "Batch:1\n",
            "d_loss :  0.33984270691871643\n",
            "g_loss: 2.308969020843506\n",
            "Epoch:4789, dis_loss:0.3372074365615845\n",
            "Epoch:4789, gen_loss: 2.3242499828338623\n",
            "Batch:2\n",
            "d_loss :  0.34003154933452606\n",
            "g_loss: 2.6228320598602295\n",
            "Epoch:4789, dis_loss:0.3381488074858983\n",
            "Epoch:4789, gen_loss: 2.4237773418426514\n",
            "Batch:3\n",
            "d_loss :  0.3588905334472656\n",
            "g_loss: 2.2053256034851074\n",
            "Epoch:4789, dis_loss:0.34333423897624016\n",
            "Epoch:4789, gen_loss: 2.3691644072532654\n",
            "--------------------------\n",
            "Epoch is 4790\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33310621976852417\n",
            "g_loss: 2.5935187339782715\n",
            "Epoch:4790, dis_loss:0.33310621976852417\n",
            "Epoch:4790, gen_loss: 2.5935187339782715\n",
            "Batch:1\n",
            "d_loss :  0.3403027206659317\n",
            "g_loss: 1.995081901550293\n",
            "Epoch:4790, dis_loss:0.33670447021722794\n",
            "Epoch:4790, gen_loss: 2.2943003177642822\n",
            "Batch:2\n",
            "d_loss :  0.34101007878780365\n",
            "g_loss: 2.11165714263916\n",
            "Epoch:4790, dis_loss:0.3381396730740865\n",
            "Epoch:4790, gen_loss: 2.2334192593892417\n",
            "Batch:3\n",
            "d_loss :  0.3434121906757355\n",
            "g_loss: 2.4660277366638184\n",
            "Epoch:4790, dis_loss:0.33945780247449875\n",
            "Epoch:4790, gen_loss: 2.2915713787078857\n",
            "--------------------------\n",
            "Epoch is 4791\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35962387919425964\n",
            "g_loss: 2.1767191886901855\n",
            "Epoch:4791, dis_loss:0.35962387919425964\n",
            "Epoch:4791, gen_loss: 2.1767191886901855\n",
            "Batch:1\n",
            "d_loss :  0.3411136269569397\n",
            "g_loss: 1.9146232604980469\n",
            "Epoch:4791, dis_loss:0.35036875307559967\n",
            "Epoch:4791, gen_loss: 2.045671224594116\n",
            "Batch:2\n",
            "d_loss :  0.3485785573720932\n",
            "g_loss: 2.184587240219116\n",
            "Epoch:4791, dis_loss:0.34977202117443085\n",
            "Epoch:4791, gen_loss: 2.0919765631357827\n",
            "Batch:3\n",
            "d_loss :  0.3420821726322174\n",
            "g_loss: 2.179929733276367\n",
            "Epoch:4791, dis_loss:0.3478495590388775\n",
            "Epoch:4791, gen_loss: 2.113964855670929\n",
            "--------------------------\n",
            "Epoch is 4792\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3562743365764618\n",
            "g_loss: 2.7611794471740723\n",
            "Epoch:4792, dis_loss:0.3562743365764618\n",
            "Epoch:4792, gen_loss: 2.7611794471740723\n",
            "Batch:1\n",
            "d_loss :  0.36290302872657776\n",
            "g_loss: 2.4758808612823486\n",
            "Epoch:4792, dis_loss:0.3595886826515198\n",
            "Epoch:4792, gen_loss: 2.6185301542282104\n",
            "Batch:2\n",
            "d_loss :  0.3521713465452194\n",
            "g_loss: 2.1339359283447266\n",
            "Epoch:4792, dis_loss:0.357116237282753\n",
            "Epoch:4792, gen_loss: 2.4569987456003823\n",
            "Batch:3\n",
            "d_loss :  0.3442087769508362\n",
            "g_loss: 2.3056626319885254\n",
            "Epoch:4792, dis_loss:0.3538893721997738\n",
            "Epoch:4792, gen_loss: 2.419164717197418\n",
            "--------------------------\n",
            "Epoch is 4793\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.337656706571579\n",
            "g_loss: 2.4959540367126465\n",
            "Epoch:4793, dis_loss:0.337656706571579\n",
            "Epoch:4793, gen_loss: 2.4959540367126465\n",
            "Batch:1\n",
            "d_loss :  0.3455858379602432\n",
            "g_loss: 2.1051204204559326\n",
            "Epoch:4793, dis_loss:0.3416212722659111\n",
            "Epoch:4793, gen_loss: 2.3005372285842896\n",
            "Batch:2\n",
            "d_loss :  0.33189669251441956\n",
            "g_loss: 2.4282305240631104\n",
            "Epoch:4793, dis_loss:0.33837974568208057\n",
            "Epoch:4793, gen_loss: 2.343101660410563\n",
            "Batch:3\n",
            "d_loss :  0.3442327678203583\n",
            "g_loss: 2.501622200012207\n",
            "Epoch:4793, dis_loss:0.33984300121665\n",
            "Epoch:4793, gen_loss: 2.382731795310974\n",
            "--------------------------\n",
            "Epoch is 4794\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3618965297937393\n",
            "g_loss: 2.8056836128234863\n",
            "Epoch:4794, dis_loss:0.3618965297937393\n",
            "Epoch:4794, gen_loss: 2.8056836128234863\n",
            "Batch:1\n",
            "d_loss :  0.34947942197322845\n",
            "g_loss: 2.060884952545166\n",
            "Epoch:4794, dis_loss:0.3556879758834839\n",
            "Epoch:4794, gen_loss: 2.433284282684326\n",
            "Batch:2\n",
            "d_loss :  0.3303814232349396\n",
            "g_loss: 2.4863855838775635\n",
            "Epoch:4794, dis_loss:0.3472524583339691\n",
            "Epoch:4794, gen_loss: 2.4509847164154053\n",
            "Batch:3\n",
            "d_loss :  0.3542787432670593\n",
            "g_loss: 1.9165292978286743\n",
            "Epoch:4794, dis_loss:0.34900902956724167\n",
            "Epoch:4794, gen_loss: 2.3173708617687225\n",
            "--------------------------\n",
            "Epoch is 4795\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35821112990379333\n",
            "g_loss: 2.4785847663879395\n",
            "Epoch:4795, dis_loss:0.35821112990379333\n",
            "Epoch:4795, gen_loss: 2.4785847663879395\n",
            "Batch:1\n",
            "d_loss :  0.33598172664642334\n",
            "g_loss: 2.1920166015625\n",
            "Epoch:4795, dis_loss:0.34709642827510834\n",
            "Epoch:4795, gen_loss: 2.3353006839752197\n",
            "Batch:2\n",
            "d_loss :  0.33400900661945343\n",
            "g_loss: 1.998656988143921\n",
            "Epoch:4795, dis_loss:0.34273395438989\n",
            "Epoch:4795, gen_loss: 2.22308611869812\n",
            "Batch:3\n",
            "d_loss :  0.33487026393413544\n",
            "g_loss: 2.3436121940612793\n",
            "Epoch:4795, dis_loss:0.3407680317759514\n",
            "Epoch:4795, gen_loss: 2.25321763753891\n",
            "--------------------------\n",
            "Epoch is 4796\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33611494302749634\n",
            "g_loss: 2.3452186584472656\n",
            "Epoch:4796, dis_loss:0.33611494302749634\n",
            "Epoch:4796, gen_loss: 2.3452186584472656\n",
            "Batch:1\n",
            "d_loss :  0.3432780057191849\n",
            "g_loss: 1.9233036041259766\n",
            "Epoch:4796, dis_loss:0.3396964743733406\n",
            "Epoch:4796, gen_loss: 2.134261131286621\n",
            "Batch:2\n",
            "d_loss :  0.33610929548740387\n",
            "g_loss: 2.4290690422058105\n",
            "Epoch:4796, dis_loss:0.3385007480780284\n",
            "Epoch:4796, gen_loss: 2.232530434926351\n",
            "Batch:3\n",
            "d_loss :  0.33815376460552216\n",
            "g_loss: 2.1030831336975098\n",
            "Epoch:4796, dis_loss:0.3384140022099018\n",
            "Epoch:4796, gen_loss: 2.2001686096191406\n",
            "--------------------------\n",
            "Epoch is 4797\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3551458418369293\n",
            "g_loss: 2.3262813091278076\n",
            "Epoch:4797, dis_loss:0.3551458418369293\n",
            "Epoch:4797, gen_loss: 2.3262813091278076\n",
            "Batch:1\n",
            "d_loss :  0.3445608615875244\n",
            "g_loss: 2.2738802433013916\n",
            "Epoch:4797, dis_loss:0.34985335171222687\n",
            "Epoch:4797, gen_loss: 2.3000807762145996\n",
            "Batch:2\n",
            "d_loss :  0.34961554408073425\n",
            "g_loss: 2.146087408065796\n",
            "Epoch:4797, dis_loss:0.3497740825017293\n",
            "Epoch:4797, gen_loss: 2.2487496534983316\n",
            "Batch:3\n",
            "d_loss :  0.328109011054039\n",
            "g_loss: 2.0524117946624756\n",
            "Epoch:4797, dis_loss:0.34435781463980675\n",
            "Epoch:4797, gen_loss: 2.1996651887893677\n",
            "--------------------------\n",
            "Epoch is 4798\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3546987622976303\n",
            "g_loss: 2.6017584800720215\n",
            "Epoch:4798, dis_loss:0.3546987622976303\n",
            "Epoch:4798, gen_loss: 2.6017584800720215\n",
            "Batch:1\n",
            "d_loss :  0.3584316223859787\n",
            "g_loss: 1.9628376960754395\n",
            "Epoch:4798, dis_loss:0.3565651923418045\n",
            "Epoch:4798, gen_loss: 2.2822980880737305\n",
            "Batch:2\n",
            "d_loss :  0.3383544832468033\n",
            "g_loss: 2.197329044342041\n",
            "Epoch:4798, dis_loss:0.3504949559768041\n",
            "Epoch:4798, gen_loss: 2.2539750734965005\n",
            "Batch:3\n",
            "d_loss :  0.34629809856414795\n",
            "g_loss: 2.3987693786621094\n",
            "Epoch:4798, dis_loss:0.34944574162364006\n",
            "Epoch:4798, gen_loss: 2.290173649787903\n",
            "--------------------------\n",
            "Epoch is 4799\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3602219969034195\n",
            "g_loss: 2.0408389568328857\n",
            "Epoch:4799, dis_loss:0.3602219969034195\n",
            "Epoch:4799, gen_loss: 2.0408389568328857\n",
            "Batch:1\n",
            "d_loss :  0.3326720893383026\n",
            "g_loss: 2.1571826934814453\n",
            "Epoch:4799, dis_loss:0.34644704312086105\n",
            "Epoch:4799, gen_loss: 2.0990108251571655\n",
            "Batch:2\n",
            "d_loss :  0.3453114926815033\n",
            "g_loss: 2.4856700897216797\n",
            "Epoch:4799, dis_loss:0.3460685263077418\n",
            "Epoch:4799, gen_loss: 2.2278972466786704\n",
            "Batch:3\n",
            "d_loss :  0.35642997920513153\n",
            "g_loss: 2.1810736656188965\n",
            "Epoch:4799, dis_loss:0.34865888953208923\n",
            "Epoch:4799, gen_loss: 2.216191351413727\n",
            "--------------------------\n",
            "Epoch is 4800\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33502012491226196\n",
            "g_loss: 2.1021275520324707\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Epoch:4800, dis_loss:0.33502012491226196\n",
            "Epoch:4800, gen_loss: 2.1021275520324707\n",
            "Batch:1\n",
            "d_loss :  0.32048971951007843\n",
            "g_loss: 2.6206133365631104\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Epoch:4800, dis_loss:0.3277549222111702\n",
            "Epoch:4800, gen_loss: 2.3613704442977905\n",
            "Batch:2\n",
            "d_loss :  0.3605944365262985\n",
            "g_loss: 1.9416810274124146\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Epoch:4800, dis_loss:0.33870142698287964\n",
            "Epoch:4800, gen_loss: 2.221473972002665\n",
            "Batch:3\n",
            "d_loss :  0.3550897240638733\n",
            "g_loss: 2.2692880630493164\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Epoch:4800, dis_loss:0.34279850125312805\n",
            "Epoch:4800, gen_loss: 2.233427494764328\n",
            "--------------------------\n",
            "Epoch is 4801\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34425659477710724\n",
            "g_loss: 2.5412344932556152\n",
            "Epoch:4801, dis_loss:0.34425659477710724\n",
            "Epoch:4801, gen_loss: 2.5412344932556152\n",
            "Batch:1\n",
            "d_loss :  0.3628992736339569\n",
            "g_loss: 1.8983670473098755\n",
            "Epoch:4801, dis_loss:0.3535779342055321\n",
            "Epoch:4801, gen_loss: 2.2198007702827454\n",
            "Batch:2\n",
            "d_loss :  0.3323017805814743\n",
            "g_loss: 2.429842472076416\n",
            "Epoch:4801, dis_loss:0.3464858829975128\n",
            "Epoch:4801, gen_loss: 2.2898146708806357\n",
            "Batch:3\n",
            "d_loss :  0.34058454632759094\n",
            "g_loss: 2.47011399269104\n",
            "Epoch:4801, dis_loss:0.34501054883003235\n",
            "Epoch:4801, gen_loss: 2.3348895013332367\n",
            "--------------------------\n",
            "Epoch is 4802\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35396696627140045\n",
            "g_loss: 2.4043102264404297\n",
            "Epoch:4802, dis_loss:0.35396696627140045\n",
            "Epoch:4802, gen_loss: 2.4043102264404297\n",
            "Batch:1\n",
            "d_loss :  0.34298281371593475\n",
            "g_loss: 2.0306341648101807\n",
            "Epoch:4802, dis_loss:0.3484748899936676\n",
            "Epoch:4802, gen_loss: 2.217472195625305\n",
            "Batch:2\n",
            "d_loss :  0.33879801630973816\n",
            "g_loss: 2.1946020126342773\n",
            "Epoch:4802, dis_loss:0.3452492654323578\n",
            "Epoch:4802, gen_loss: 2.2098488012949624\n",
            "Batch:3\n",
            "d_loss :  0.33302614092826843\n",
            "g_loss: 2.4868149757385254\n",
            "Epoch:4802, dis_loss:0.34219348430633545\n",
            "Epoch:4802, gen_loss: 2.2790903449058533\n",
            "--------------------------\n",
            "Epoch is 4803\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35114315152168274\n",
            "g_loss: 2.147928237915039\n",
            "Epoch:4803, dis_loss:0.35114315152168274\n",
            "Epoch:4803, gen_loss: 2.147928237915039\n",
            "Batch:1\n",
            "d_loss :  0.32155585289001465\n",
            "g_loss: 2.376919746398926\n",
            "Epoch:4803, dis_loss:0.3363495022058487\n",
            "Epoch:4803, gen_loss: 2.2624239921569824\n",
            "Batch:2\n",
            "d_loss :  0.34239770472049713\n",
            "g_loss: 2.4644553661346436\n",
            "Epoch:4803, dis_loss:0.3383655697107315\n",
            "Epoch:4803, gen_loss: 2.3297677834828696\n",
            "Batch:3\n",
            "d_loss :  0.3446448892354965\n",
            "g_loss: 2.122753143310547\n",
            "Epoch:4803, dis_loss:0.33993539959192276\n",
            "Epoch:4803, gen_loss: 2.278014123439789\n",
            "--------------------------\n",
            "Epoch is 4804\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33658725023269653\n",
            "g_loss: 2.157914638519287\n",
            "Epoch:4804, dis_loss:0.33658725023269653\n",
            "Epoch:4804, gen_loss: 2.157914638519287\n",
            "Batch:1\n",
            "d_loss :  0.3381422311067581\n",
            "g_loss: 2.2931063175201416\n",
            "Epoch:4804, dis_loss:0.3373647406697273\n",
            "Epoch:4804, gen_loss: 2.2255104780197144\n",
            "Batch:2\n",
            "d_loss :  0.3442729413509369\n",
            "g_loss: 2.215210437774658\n",
            "Epoch:4804, dis_loss:0.3396674742301305\n",
            "Epoch:4804, gen_loss: 2.2220771312713623\n",
            "Batch:3\n",
            "d_loss :  0.3303847163915634\n",
            "g_loss: 2.372722625732422\n",
            "Epoch:4804, dis_loss:0.33734678477048874\n",
            "Epoch:4804, gen_loss: 2.259738504886627\n",
            "--------------------------\n",
            "Epoch is 4805\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3438616991043091\n",
            "g_loss: 2.3364510536193848\n",
            "Epoch:4805, dis_loss:0.3438616991043091\n",
            "Epoch:4805, gen_loss: 2.3364510536193848\n",
            "Batch:1\n",
            "d_loss :  0.3358902186155319\n",
            "g_loss: 2.114614725112915\n",
            "Epoch:4805, dis_loss:0.3398759588599205\n",
            "Epoch:4805, gen_loss: 2.22553288936615\n",
            "Batch:2\n",
            "d_loss :  0.3438195586204529\n",
            "g_loss: 2.151700496673584\n",
            "Epoch:4805, dis_loss:0.3411904921134313\n",
            "Epoch:4805, gen_loss: 2.2009220918019614\n",
            "Batch:3\n",
            "d_loss :  0.34397512674331665\n",
            "g_loss: 2.121716022491455\n",
            "Epoch:4805, dis_loss:0.34188665077090263\n",
            "Epoch:4805, gen_loss: 2.1811205744743347\n",
            "--------------------------\n",
            "Epoch is 4806\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3350456953048706\n",
            "g_loss: 2.847806692123413\n",
            "Epoch:4806, dis_loss:0.3350456953048706\n",
            "Epoch:4806, gen_loss: 2.847806692123413\n",
            "Batch:1\n",
            "d_loss :  0.36718660593032837\n",
            "g_loss: 2.182344436645508\n",
            "Epoch:4806, dis_loss:0.3511161506175995\n",
            "Epoch:4806, gen_loss: 2.5150755643844604\n",
            "Batch:2\n",
            "d_loss :  0.3338007479906082\n",
            "g_loss: 2.274272918701172\n",
            "Epoch:4806, dis_loss:0.34534434974193573\n",
            "Epoch:4806, gen_loss: 2.4348080158233643\n",
            "Batch:3\n",
            "d_loss :  0.3566321134567261\n",
            "g_loss: 2.109614610671997\n",
            "Epoch:4806, dis_loss:0.3481662906706333\n",
            "Epoch:4806, gen_loss: 2.3535096645355225\n",
            "--------------------------\n",
            "Epoch is 4807\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3349335491657257\n",
            "g_loss: 2.341475009918213\n",
            "Epoch:4807, dis_loss:0.3349335491657257\n",
            "Epoch:4807, gen_loss: 2.341475009918213\n",
            "Batch:1\n",
            "d_loss :  0.33223359286785126\n",
            "g_loss: 2.1259360313415527\n",
            "Epoch:4807, dis_loss:0.3335835710167885\n",
            "Epoch:4807, gen_loss: 2.233705520629883\n",
            "Batch:2\n",
            "d_loss :  0.34114982187747955\n",
            "g_loss: 2.2451796531677246\n",
            "Epoch:4807, dis_loss:0.33610565463701886\n",
            "Epoch:4807, gen_loss: 2.23753023147583\n",
            "Batch:3\n",
            "d_loss :  0.3498416841030121\n",
            "g_loss: 1.985633134841919\n",
            "Epoch:4807, dis_loss:0.33953966200351715\n",
            "Epoch:4807, gen_loss: 2.1745559573173523\n",
            "--------------------------\n",
            "Epoch is 4808\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34660640358924866\n",
            "g_loss: 2.241400718688965\n",
            "Epoch:4808, dis_loss:0.34660640358924866\n",
            "Epoch:4808, gen_loss: 2.241400718688965\n",
            "Batch:1\n",
            "d_loss :  0.3252808749675751\n",
            "g_loss: 2.245915412902832\n",
            "Epoch:4808, dis_loss:0.33594363927841187\n",
            "Epoch:4808, gen_loss: 2.2436580657958984\n",
            "Batch:2\n",
            "d_loss :  0.34897512197494507\n",
            "g_loss: 2.0994439125061035\n",
            "Epoch:4808, dis_loss:0.3402874668439229\n",
            "Epoch:4808, gen_loss: 2.195586681365967\n",
            "Batch:3\n",
            "d_loss :  0.3390291631221771\n",
            "g_loss: 2.3247251510620117\n",
            "Epoch:4808, dis_loss:0.3399728909134865\n",
            "Epoch:4808, gen_loss: 2.227871298789978\n",
            "--------------------------\n",
            "Epoch is 4809\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3350376784801483\n",
            "g_loss: 2.2340140342712402\n",
            "Epoch:4809, dis_loss:0.3350376784801483\n",
            "Epoch:4809, gen_loss: 2.2340140342712402\n",
            "Batch:1\n",
            "d_loss :  0.3213804364204407\n",
            "g_loss: 2.2180683612823486\n",
            "Epoch:4809, dis_loss:0.3282090574502945\n",
            "Epoch:4809, gen_loss: 2.2260411977767944\n",
            "Batch:2\n",
            "d_loss :  0.3315364420413971\n",
            "g_loss: 2.316025972366333\n",
            "Epoch:4809, dis_loss:0.3293181856473287\n",
            "Epoch:4809, gen_loss: 2.256036122639974\n",
            "Batch:3\n",
            "d_loss :  0.3407604396343231\n",
            "g_loss: 2.21240234375\n",
            "Epoch:4809, dis_loss:0.3321787491440773\n",
            "Epoch:4809, gen_loss: 2.2451276779174805\n",
            "--------------------------\n",
            "Epoch is 4810\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35141676664352417\n",
            "g_loss: 2.279520034790039\n",
            "Epoch:4810, dis_loss:0.35141676664352417\n",
            "Epoch:4810, gen_loss: 2.279520034790039\n",
            "Batch:1\n",
            "d_loss :  0.3391873836517334\n",
            "g_loss: 2.0888826847076416\n",
            "Epoch:4810, dis_loss:0.3453020751476288\n",
            "Epoch:4810, gen_loss: 2.1842013597488403\n",
            "Batch:2\n",
            "d_loss :  0.34532175958156586\n",
            "g_loss: 2.3188676834106445\n",
            "Epoch:4810, dis_loss:0.3453086366256078\n",
            "Epoch:4810, gen_loss: 2.229090134302775\n",
            "Batch:3\n",
            "d_loss :  0.3367539495229721\n",
            "g_loss: 2.2445406913757324\n",
            "Epoch:4810, dis_loss:0.3431699648499489\n",
            "Epoch:4810, gen_loss: 2.2329527735710144\n",
            "--------------------------\n",
            "Epoch is 4811\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35457974672317505\n",
            "g_loss: 2.377572536468506\n",
            "Epoch:4811, dis_loss:0.35457974672317505\n",
            "Epoch:4811, gen_loss: 2.377572536468506\n",
            "Batch:1\n",
            "d_loss :  0.3486047089099884\n",
            "g_loss: 2.0173842906951904\n",
            "Epoch:4811, dis_loss:0.3515922278165817\n",
            "Epoch:4811, gen_loss: 2.197478413581848\n",
            "Batch:2\n",
            "d_loss :  0.3446331024169922\n",
            "g_loss: 2.2424495220184326\n",
            "Epoch:4811, dis_loss:0.3492725193500519\n",
            "Epoch:4811, gen_loss: 2.2124687830607095\n",
            "Batch:3\n",
            "d_loss :  0.34247198700904846\n",
            "g_loss: 2.266648769378662\n",
            "Epoch:4811, dis_loss:0.347572386264801\n",
            "Epoch:4811, gen_loss: 2.2260137796401978\n",
            "--------------------------\n",
            "Epoch is 4812\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34441208839416504\n",
            "g_loss: 2.267102003097534\n",
            "Epoch:4812, dis_loss:0.34441208839416504\n",
            "Epoch:4812, gen_loss: 2.267102003097534\n",
            "Batch:1\n",
            "d_loss :  0.3252752423286438\n",
            "g_loss: 2.12520170211792\n",
            "Epoch:4812, dis_loss:0.3348436653614044\n",
            "Epoch:4812, gen_loss: 2.196151852607727\n",
            "Batch:2\n",
            "d_loss :  0.332149475812912\n",
            "g_loss: 2.3016839027404785\n",
            "Epoch:4812, dis_loss:0.3339456021785736\n",
            "Epoch:4812, gen_loss: 2.2313292026519775\n",
            "Batch:3\n",
            "d_loss :  0.33060330152511597\n",
            "g_loss: 2.1243484020233154\n",
            "Epoch:4812, dis_loss:0.3331100270152092\n",
            "Epoch:4812, gen_loss: 2.204584002494812\n",
            "--------------------------\n",
            "Epoch is 4813\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34119755029678345\n",
            "g_loss: 2.247570276260376\n",
            "Epoch:4813, dis_loss:0.34119755029678345\n",
            "Epoch:4813, gen_loss: 2.247570276260376\n",
            "Batch:1\n",
            "d_loss :  0.3539936691522598\n",
            "g_loss: 1.9567559957504272\n",
            "Epoch:4813, dis_loss:0.34759560972452164\n",
            "Epoch:4813, gen_loss: 2.1021631360054016\n",
            "Batch:2\n",
            "d_loss :  0.33781224489212036\n",
            "g_loss: 2.236396074295044\n",
            "Epoch:4813, dis_loss:0.3443344881137212\n",
            "Epoch:4813, gen_loss: 2.1469074487686157\n",
            "Batch:3\n",
            "d_loss :  0.32745930552482605\n",
            "g_loss: 2.3740036487579346\n",
            "Epoch:4813, dis_loss:0.3401156924664974\n",
            "Epoch:4813, gen_loss: 2.2036814987659454\n",
            "--------------------------\n",
            "Epoch is 4814\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3511720895767212\n",
            "g_loss: 2.1718552112579346\n",
            "Epoch:4814, dis_loss:0.3511720895767212\n",
            "Epoch:4814, gen_loss: 2.1718552112579346\n",
            "Batch:1\n",
            "d_loss :  0.3267108052968979\n",
            "g_loss: 2.2039711475372314\n",
            "Epoch:4814, dis_loss:0.33894144743680954\n",
            "Epoch:4814, gen_loss: 2.187913179397583\n",
            "Batch:2\n",
            "d_loss :  0.3307834565639496\n",
            "g_loss: 2.3041224479675293\n",
            "Epoch:4814, dis_loss:0.3362221171458562\n",
            "Epoch:4814, gen_loss: 2.226649602254232\n",
            "Batch:3\n",
            "d_loss :  0.33401642739772797\n",
            "g_loss: 2.294482469558716\n",
            "Epoch:4814, dis_loss:0.33567069470882416\n",
            "Epoch:4814, gen_loss: 2.243607819080353\n",
            "--------------------------\n",
            "Epoch is 4815\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3376702517271042\n",
            "g_loss: 2.2726454734802246\n",
            "Epoch:4815, dis_loss:0.3376702517271042\n",
            "Epoch:4815, gen_loss: 2.2726454734802246\n",
            "Batch:1\n",
            "d_loss :  0.34121423959732056\n",
            "g_loss: 2.0828778743743896\n",
            "Epoch:4815, dis_loss:0.33944224566221237\n",
            "Epoch:4815, gen_loss: 2.177761673927307\n",
            "Batch:2\n",
            "d_loss :  0.3434162437915802\n",
            "g_loss: 2.103947162628174\n",
            "Epoch:4815, dis_loss:0.34076691170533496\n",
            "Epoch:4815, gen_loss: 2.153156836827596\n",
            "Batch:3\n",
            "d_loss :  0.33567626774311066\n",
            "g_loss: 2.287642240524292\n",
            "Epoch:4815, dis_loss:0.3394942507147789\n",
            "Epoch:4815, gen_loss: 2.18677818775177\n",
            "--------------------------\n",
            "Epoch is 4816\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3416070193052292\n",
            "g_loss: 2.2885165214538574\n",
            "Epoch:4816, dis_loss:0.3416070193052292\n",
            "Epoch:4816, gen_loss: 2.2885165214538574\n",
            "Batch:1\n",
            "d_loss :  0.33415132761001587\n",
            "g_loss: 2.1315064430236816\n",
            "Epoch:4816, dis_loss:0.33787917345762253\n",
            "Epoch:4816, gen_loss: 2.2100114822387695\n",
            "Batch:2\n",
            "d_loss :  0.31613028049468994\n",
            "g_loss: 2.411250591278076\n",
            "Epoch:4816, dis_loss:0.33062954246997833\n",
            "Epoch:4816, gen_loss: 2.2770911852518716\n",
            "Batch:3\n",
            "d_loss :  0.3388647884130478\n",
            "g_loss: 2.264927864074707\n",
            "Epoch:4816, dis_loss:0.3326883539557457\n",
            "Epoch:4816, gen_loss: 2.2740503549575806\n",
            "--------------------------\n",
            "Epoch is 4817\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.335954949259758\n",
            "g_loss: 2.3246231079101562\n",
            "Epoch:4817, dis_loss:0.335954949259758\n",
            "Epoch:4817, gen_loss: 2.3246231079101562\n",
            "Batch:1\n",
            "d_loss :  0.33276911079883575\n",
            "g_loss: 2.225085735321045\n",
            "Epoch:4817, dis_loss:0.3343620300292969\n",
            "Epoch:4817, gen_loss: 2.2748544216156006\n",
            "Batch:2\n",
            "d_loss :  0.34306828677654266\n",
            "g_loss: 2.210867404937744\n",
            "Epoch:4817, dis_loss:0.33726411561171216\n",
            "Epoch:4817, gen_loss: 2.253525416056315\n",
            "Batch:3\n",
            "d_loss :  0.34094947576522827\n",
            "g_loss: 2.252464532852173\n",
            "Epoch:4817, dis_loss:0.33818545565009117\n",
            "Epoch:4817, gen_loss: 2.2532601952552795\n",
            "--------------------------\n",
            "Epoch is 4818\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3565773665904999\n",
            "g_loss: 2.3017685413360596\n",
            "Epoch:4818, dis_loss:0.3565773665904999\n",
            "Epoch:4818, gen_loss: 2.3017685413360596\n",
            "Batch:1\n",
            "d_loss :  0.34532415866851807\n",
            "g_loss: 2.064530372619629\n",
            "Epoch:4818, dis_loss:0.35095076262950897\n",
            "Epoch:4818, gen_loss: 2.1831494569778442\n",
            "Batch:2\n",
            "d_loss :  0.339814230799675\n",
            "g_loss: 2.2178139686584473\n",
            "Epoch:4818, dis_loss:0.34723858535289764\n",
            "Epoch:4818, gen_loss: 2.194704294204712\n",
            "Batch:3\n",
            "d_loss :  0.33801349997520447\n",
            "g_loss: 2.1869895458221436\n",
            "Epoch:4818, dis_loss:0.34493231400847435\n",
            "Epoch:4818, gen_loss: 2.19277560710907\n",
            "--------------------------\n",
            "Epoch is 4819\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3439815938472748\n",
            "g_loss: 2.4032280445098877\n",
            "Epoch:4819, dis_loss:0.3439815938472748\n",
            "Epoch:4819, gen_loss: 2.4032280445098877\n",
            "Batch:1\n",
            "d_loss :  0.33209429681301117\n",
            "g_loss: 2.230865716934204\n",
            "Epoch:4819, dis_loss:0.338037945330143\n",
            "Epoch:4819, gen_loss: 2.317046880722046\n",
            "Batch:2\n",
            "d_loss :  0.3264973908662796\n",
            "g_loss: 2.3133182525634766\n",
            "Epoch:4819, dis_loss:0.33419109384218854\n",
            "Epoch:4819, gen_loss: 2.3158040046691895\n",
            "Batch:3\n",
            "d_loss :  0.3419269621372223\n",
            "g_loss: 2.3424224853515625\n",
            "Epoch:4819, dis_loss:0.33612506091594696\n",
            "Epoch:4819, gen_loss: 2.3224586248397827\n",
            "--------------------------\n",
            "Epoch is 4820\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3380352258682251\n",
            "g_loss: 2.266282081604004\n",
            "Epoch:4820, dis_loss:0.3380352258682251\n",
            "Epoch:4820, gen_loss: 2.266282081604004\n",
            "Batch:1\n",
            "d_loss :  0.3406004458665848\n",
            "g_loss: 2.1426024436950684\n",
            "Epoch:4820, dis_loss:0.33931783586740494\n",
            "Epoch:4820, gen_loss: 2.204442262649536\n",
            "Batch:2\n",
            "d_loss :  0.3380791246891022\n",
            "g_loss: 2.287419319152832\n",
            "Epoch:4820, dis_loss:0.338904932141304\n",
            "Epoch:4820, gen_loss: 2.2321012814839682\n",
            "Batch:3\n",
            "d_loss :  0.33158358931541443\n",
            "g_loss: 2.322042942047119\n",
            "Epoch:4820, dis_loss:0.3370745964348316\n",
            "Epoch:4820, gen_loss: 2.254586696624756\n",
            "--------------------------\n",
            "Epoch is 4821\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34496672451496124\n",
            "g_loss: 2.215913772583008\n",
            "Epoch:4821, dis_loss:0.34496672451496124\n",
            "Epoch:4821, gen_loss: 2.215913772583008\n",
            "Batch:1\n",
            "d_loss :  0.33759836852550507\n",
            "g_loss: 2.1734302043914795\n",
            "Epoch:4821, dis_loss:0.34128254652023315\n",
            "Epoch:4821, gen_loss: 2.1946719884872437\n",
            "Batch:2\n",
            "d_loss :  0.3445855677127838\n",
            "g_loss: 2.149409055709839\n",
            "Epoch:4821, dis_loss:0.3423835535844167\n",
            "Epoch:4821, gen_loss: 2.179584344228109\n",
            "Batch:3\n",
            "d_loss :  0.3394322395324707\n",
            "g_loss: 2.2540500164031982\n",
            "Epoch:4821, dis_loss:0.3416457250714302\n",
            "Epoch:4821, gen_loss: 2.198200762271881\n",
            "--------------------------\n",
            "Epoch is 4822\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34047143161296844\n",
            "g_loss: 2.136899471282959\n",
            "Epoch:4822, dis_loss:0.34047143161296844\n",
            "Epoch:4822, gen_loss: 2.136899471282959\n",
            "Batch:1\n",
            "d_loss :  0.3303866684436798\n",
            "g_loss: 2.2966971397399902\n",
            "Epoch:4822, dis_loss:0.3354290500283241\n",
            "Epoch:4822, gen_loss: 2.2167983055114746\n",
            "Batch:2\n",
            "d_loss :  0.34961704909801483\n",
            "g_loss: 2.1119651794433594\n",
            "Epoch:4822, dis_loss:0.3401583830515544\n",
            "Epoch:4822, gen_loss: 2.181853930155436\n",
            "Batch:3\n",
            "d_loss :  0.32929232716560364\n",
            "g_loss: 2.218128204345703\n",
            "Epoch:4822, dis_loss:0.3374418690800667\n",
            "Epoch:4822, gen_loss: 2.190922498703003\n",
            "--------------------------\n",
            "Epoch is 4823\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33728691935539246\n",
            "g_loss: 2.179500102996826\n",
            "Epoch:4823, dis_loss:0.33728691935539246\n",
            "Epoch:4823, gen_loss: 2.179500102996826\n",
            "Batch:1\n",
            "d_loss :  0.3230607360601425\n",
            "g_loss: 2.1643004417419434\n",
            "Epoch:4823, dis_loss:0.3301738277077675\n",
            "Epoch:4823, gen_loss: 2.1719002723693848\n",
            "Batch:2\n",
            "d_loss :  0.3373631238937378\n",
            "g_loss: 2.0857996940612793\n",
            "Epoch:4823, dis_loss:0.33257025976975757\n",
            "Epoch:4823, gen_loss: 2.143200079600016\n",
            "Batch:3\n",
            "d_loss :  0.34818224608898163\n",
            "g_loss: 2.2906336784362793\n",
            "Epoch:4823, dis_loss:0.3364732563495636\n",
            "Epoch:4823, gen_loss: 2.180058479309082\n",
            "--------------------------\n",
            "Epoch is 4824\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3465479016304016\n",
            "g_loss: 2.4455080032348633\n",
            "Epoch:4824, dis_loss:0.3465479016304016\n",
            "Epoch:4824, gen_loss: 2.4455080032348633\n",
            "Batch:1\n",
            "d_loss :  0.3415887951850891\n",
            "g_loss: 2.169083595275879\n",
            "Epoch:4824, dis_loss:0.34406834840774536\n",
            "Epoch:4824, gen_loss: 2.307295799255371\n",
            "Batch:2\n",
            "d_loss :  0.3421117514371872\n",
            "g_loss: 2.310100555419922\n",
            "Epoch:4824, dis_loss:0.3434161494175593\n",
            "Epoch:4824, gen_loss: 2.308230717976888\n",
            "Batch:3\n",
            "d_loss :  0.33660659193992615\n",
            "g_loss: 2.1586802005767822\n",
            "Epoch:4824, dis_loss:0.341713760048151\n",
            "Epoch:4824, gen_loss: 2.2708430886268616\n",
            "--------------------------\n",
            "Epoch is 4825\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3378213196992874\n",
            "g_loss: 2.6241416931152344\n",
            "Epoch:4825, dis_loss:0.3378213196992874\n",
            "Epoch:4825, gen_loss: 2.6241416931152344\n",
            "Batch:1\n",
            "d_loss :  0.3412724435329437\n",
            "g_loss: 2.3405022621154785\n",
            "Epoch:4825, dis_loss:0.33954688161611557\n",
            "Epoch:4825, gen_loss: 2.4823219776153564\n",
            "Batch:2\n",
            "d_loss :  0.32750141620635986\n",
            "g_loss: 2.306048631668091\n",
            "Epoch:4825, dis_loss:0.33553172647953033\n",
            "Epoch:4825, gen_loss: 2.4235641956329346\n",
            "Batch:3\n",
            "d_loss :  0.334580659866333\n",
            "g_loss: 1.9209117889404297\n",
            "Epoch:4825, dis_loss:0.335293959826231\n",
            "Epoch:4825, gen_loss: 2.2979010939598083\n",
            "--------------------------\n",
            "Epoch is 4826\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.32931268215179443\n",
            "g_loss: 2.6497368812561035\n",
            "Epoch:4826, dis_loss:0.32931268215179443\n",
            "Epoch:4826, gen_loss: 2.6497368812561035\n",
            "Batch:1\n",
            "d_loss :  0.34065935015678406\n",
            "g_loss: 2.0820648670196533\n",
            "Epoch:4826, dis_loss:0.33498601615428925\n",
            "Epoch:4826, gen_loss: 2.3659008741378784\n",
            "Batch:2\n",
            "d_loss :  0.33113692700862885\n",
            "g_loss: 2.3794660568237305\n",
            "Epoch:4826, dis_loss:0.3337029864390691\n",
            "Epoch:4826, gen_loss: 2.370422601699829\n",
            "Batch:3\n",
            "d_loss :  0.346829429268837\n",
            "g_loss: 2.194230079650879\n",
            "Epoch:4826, dis_loss:0.3369845971465111\n",
            "Epoch:4826, gen_loss: 2.3263744711875916\n",
            "--------------------------\n",
            "Epoch is 4827\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3519437462091446\n",
            "g_loss: 2.1954338550567627\n",
            "Epoch:4827, dis_loss:0.3519437462091446\n",
            "Epoch:4827, gen_loss: 2.1954338550567627\n",
            "Batch:1\n",
            "d_loss :  0.32115472853183746\n",
            "g_loss: 2.482452392578125\n",
            "Epoch:4827, dis_loss:0.33654923737049103\n",
            "Epoch:4827, gen_loss: 2.338943123817444\n",
            "Batch:2\n",
            "d_loss :  0.34949611127376556\n",
            "g_loss: 2.356292724609375\n",
            "Epoch:4827, dis_loss:0.3408648620049159\n",
            "Epoch:4827, gen_loss: 2.344726324081421\n",
            "Batch:3\n",
            "d_loss :  0.3535890579223633\n",
            "g_loss: 2.2596278190612793\n",
            "Epoch:4827, dis_loss:0.3440459109842777\n",
            "Epoch:4827, gen_loss: 2.3234516978263855\n",
            "--------------------------\n",
            "Epoch is 4828\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3512948155403137\n",
            "g_loss: 2.343177318572998\n",
            "Epoch:4828, dis_loss:0.3512948155403137\n",
            "Epoch:4828, gen_loss: 2.343177318572998\n",
            "Batch:1\n",
            "d_loss :  0.34366315603256226\n",
            "g_loss: 1.8440359830856323\n",
            "Epoch:4828, dis_loss:0.347478985786438\n",
            "Epoch:4828, gen_loss: 2.093606650829315\n",
            "Batch:2\n",
            "d_loss :  0.3452198654413223\n",
            "g_loss: 2.6073594093322754\n",
            "Epoch:4828, dis_loss:0.3467259456713994\n",
            "Epoch:4828, gen_loss: 2.2648575703303018\n",
            "Batch:3\n",
            "d_loss :  0.350416362285614\n",
            "g_loss: 2.3502893447875977\n",
            "Epoch:4828, dis_loss:0.3476485498249531\n",
            "Epoch:4828, gen_loss: 2.286215513944626\n",
            "--------------------------\n",
            "Epoch is 4829\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3374570161104202\n",
            "g_loss: 2.3417201042175293\n",
            "Epoch:4829, dis_loss:0.3374570161104202\n",
            "Epoch:4829, gen_loss: 2.3417201042175293\n",
            "Batch:1\n",
            "d_loss :  0.3439030945301056\n",
            "g_loss: 1.9540928602218628\n",
            "Epoch:4829, dis_loss:0.3406800553202629\n",
            "Epoch:4829, gen_loss: 2.147906482219696\n",
            "Batch:2\n",
            "d_loss :  0.3404102623462677\n",
            "g_loss: 2.1507210731506348\n",
            "Epoch:4829, dis_loss:0.34059012432893115\n",
            "Epoch:4829, gen_loss: 2.1488446791966758\n",
            "Batch:3\n",
            "d_loss :  0.3298074007034302\n",
            "g_loss: 2.230140447616577\n",
            "Epoch:4829, dis_loss:0.3378944434225559\n",
            "Epoch:4829, gen_loss: 2.169168621301651\n",
            "--------------------------\n",
            "Epoch is 4830\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3315064460039139\n",
            "g_loss: 2.2711822986602783\n",
            "Epoch:4830, dis_loss:0.3315064460039139\n",
            "Epoch:4830, gen_loss: 2.2711822986602783\n",
            "Batch:1\n",
            "d_loss :  0.3387686759233475\n",
            "g_loss: 2.2390687465667725\n",
            "Epoch:4830, dis_loss:0.3351375609636307\n",
            "Epoch:4830, gen_loss: 2.2551255226135254\n",
            "Batch:2\n",
            "d_loss :  0.34807854890823364\n",
            "g_loss: 2.5160179138183594\n",
            "Epoch:4830, dis_loss:0.33945122361183167\n",
            "Epoch:4830, gen_loss: 2.3420896530151367\n",
            "Batch:3\n",
            "d_loss :  0.34064218401908875\n",
            "g_loss: 2.2031033039093018\n",
            "Epoch:4830, dis_loss:0.33974896371364594\n",
            "Epoch:4830, gen_loss: 2.307343065738678\n",
            "--------------------------\n",
            "Epoch is 4831\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34695491194725037\n",
            "g_loss: 2.63531494140625\n",
            "Epoch:4831, dis_loss:0.34695491194725037\n",
            "Epoch:4831, gen_loss: 2.63531494140625\n",
            "Batch:1\n",
            "d_loss :  0.33534814417362213\n",
            "g_loss: 2.3655519485473633\n",
            "Epoch:4831, dis_loss:0.34115152806043625\n",
            "Epoch:4831, gen_loss: 2.5004334449768066\n",
            "Batch:2\n",
            "d_loss :  0.3531712144613266\n",
            "g_loss: 2.397397518157959\n",
            "Epoch:4831, dis_loss:0.34515809019406635\n",
            "Epoch:4831, gen_loss: 2.466088136037191\n",
            "Batch:3\n",
            "d_loss :  0.34616218507289886\n",
            "g_loss: 1.9950571060180664\n",
            "Epoch:4831, dis_loss:0.3454091139137745\n",
            "Epoch:4831, gen_loss: 2.3483303785324097\n",
            "--------------------------\n",
            "Epoch is 4832\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35047924518585205\n",
            "g_loss: 1.9918934106826782\n",
            "Epoch:4832, dis_loss:0.35047924518585205\n",
            "Epoch:4832, gen_loss: 1.9918934106826782\n",
            "Batch:1\n",
            "d_loss :  0.35553862154483795\n",
            "g_loss: 2.6236462593078613\n",
            "Epoch:4832, dis_loss:0.353008933365345\n",
            "Epoch:4832, gen_loss: 2.3077698349952698\n",
            "Batch:2\n",
            "d_loss :  0.3671877682209015\n",
            "g_loss: 1.9144366979599\n",
            "Epoch:4832, dis_loss:0.3577352116505305\n",
            "Epoch:4832, gen_loss: 2.176658789316813\n",
            "Batch:3\n",
            "d_loss :  0.3437197208404541\n",
            "g_loss: 2.995403289794922\n",
            "Epoch:4832, dis_loss:0.3542313389480114\n",
            "Epoch:4832, gen_loss: 2.3813449144363403\n",
            "--------------------------\n",
            "Epoch is 4833\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3476845622062683\n",
            "g_loss: 2.3706040382385254\n",
            "Epoch:4833, dis_loss:0.3476845622062683\n",
            "Epoch:4833, gen_loss: 2.3706040382385254\n",
            "Batch:1\n",
            "d_loss :  0.335666760802269\n",
            "g_loss: 1.9812352657318115\n",
            "Epoch:4833, dis_loss:0.34167566150426865\n",
            "Epoch:4833, gen_loss: 2.1759196519851685\n",
            "Batch:2\n",
            "d_loss :  0.3596419095993042\n",
            "g_loss: 3.616603374481201\n",
            "Epoch:4833, dis_loss:0.3476644108692805\n",
            "Epoch:4833, gen_loss: 2.656147559483846\n",
            "Batch:3\n",
            "d_loss :  0.43295998871326447\n",
            "g_loss: 2.542156934738159\n",
            "Epoch:4833, dis_loss:0.3689883053302765\n",
            "Epoch:4833, gen_loss: 2.6276499032974243\n",
            "--------------------------\n",
            "Epoch is 4834\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3323505371809006\n",
            "g_loss: 2.269798755645752\n",
            "Epoch:4834, dis_loss:0.3323505371809006\n",
            "Epoch:4834, gen_loss: 2.269798755645752\n",
            "Batch:1\n",
            "d_loss :  0.3422415554523468\n",
            "g_loss: 2.2008986473083496\n",
            "Epoch:4834, dis_loss:0.3372960463166237\n",
            "Epoch:4834, gen_loss: 2.235348701477051\n",
            "Batch:2\n",
            "d_loss :  0.33040574193000793\n",
            "g_loss: 2.345231056213379\n",
            "Epoch:4834, dis_loss:0.33499927818775177\n",
            "Epoch:4834, gen_loss: 2.2719761530558267\n",
            "Batch:3\n",
            "d_loss :  0.3360036015510559\n",
            "g_loss: 2.201597213745117\n",
            "Epoch:4834, dis_loss:0.3352503590285778\n",
            "Epoch:4834, gen_loss: 2.2543814182281494\n",
            "--------------------------\n",
            "Epoch is 4835\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3534903973340988\n",
            "g_loss: 1.9771547317504883\n",
            "Epoch:4835, dis_loss:0.3534903973340988\n",
            "Epoch:4835, gen_loss: 1.9771547317504883\n",
            "Batch:1\n",
            "d_loss :  0.32873116433620453\n",
            "g_loss: 2.1780829429626465\n",
            "Epoch:4835, dis_loss:0.3411107808351517\n",
            "Epoch:4835, gen_loss: 2.0776188373565674\n",
            "Batch:2\n",
            "d_loss :  0.32912424206733704\n",
            "g_loss: 2.044074773788452\n",
            "Epoch:4835, dis_loss:0.3371152679125468\n",
            "Epoch:4835, gen_loss: 2.0664374828338623\n",
            "Batch:3\n",
            "d_loss :  0.3338281214237213\n",
            "g_loss: 2.1127147674560547\n",
            "Epoch:4835, dis_loss:0.3362934812903404\n",
            "Epoch:4835, gen_loss: 2.0780068039894104\n",
            "--------------------------\n",
            "Epoch is 4836\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33646194636821747\n",
            "g_loss: 2.098264217376709\n",
            "Epoch:4836, dis_loss:0.33646194636821747\n",
            "Epoch:4836, gen_loss: 2.098264217376709\n",
            "Batch:1\n",
            "d_loss :  0.32005803287029266\n",
            "g_loss: 2.259092330932617\n",
            "Epoch:4836, dis_loss:0.32825998961925507\n",
            "Epoch:4836, gen_loss: 2.178678274154663\n",
            "Batch:2\n",
            "d_loss :  0.34331338107585907\n",
            "g_loss: 2.1662917137145996\n",
            "Epoch:4836, dis_loss:0.3332777867714564\n",
            "Epoch:4836, gen_loss: 2.174549420674642\n",
            "Batch:3\n",
            "d_loss :  0.33245792984962463\n",
            "g_loss: 2.235538959503174\n",
            "Epoch:4836, dis_loss:0.33307282254099846\n",
            "Epoch:4836, gen_loss: 2.189796805381775\n",
            "--------------------------\n",
            "Epoch is 4837\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3384094685316086\n",
            "g_loss: 2.1594998836517334\n",
            "Epoch:4837, dis_loss:0.3384094685316086\n",
            "Epoch:4837, gen_loss: 2.1594998836517334\n",
            "Batch:1\n",
            "d_loss :  0.32337379455566406\n",
            "g_loss: 2.2580485343933105\n",
            "Epoch:4837, dis_loss:0.3308916315436363\n",
            "Epoch:4837, gen_loss: 2.208774209022522\n",
            "Batch:2\n",
            "d_loss :  0.33486825227737427\n",
            "g_loss: 2.3961546421051025\n",
            "Epoch:4837, dis_loss:0.33221717178821564\n",
            "Epoch:4837, gen_loss: 2.2712343533833823\n",
            "Batch:3\n",
            "d_loss :  0.34742143750190735\n",
            "g_loss: 2.182112216949463\n",
            "Epoch:4837, dis_loss:0.33601823821663857\n",
            "Epoch:4837, gen_loss: 2.2489538192749023\n",
            "--------------------------\n",
            "Epoch is 4838\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.32648037374019623\n",
            "g_loss: 2.2587482929229736\n",
            "Epoch:4838, dis_loss:0.32648037374019623\n",
            "Epoch:4838, gen_loss: 2.2587482929229736\n",
            "Batch:1\n",
            "d_loss :  0.34934236109256744\n",
            "g_loss: 1.772470474243164\n",
            "Epoch:4838, dis_loss:0.33791136741638184\n",
            "Epoch:4838, gen_loss: 2.015609383583069\n",
            "Batch:2\n",
            "d_loss :  0.36017225682735443\n",
            "g_loss: 3.287139415740967\n",
            "Epoch:4838, dis_loss:0.34533166388670605\n",
            "Epoch:4838, gen_loss: 2.4394527276357016\n",
            "Batch:3\n",
            "d_loss :  0.38645099103450775\n",
            "g_loss: 2.1839940547943115\n",
            "Epoch:4838, dis_loss:0.35561149567365646\n",
            "Epoch:4838, gen_loss: 2.375588059425354\n",
            "--------------------------\n",
            "Epoch is 4839\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3477455824613571\n",
            "g_loss: 1.965000867843628\n",
            "Epoch:4839, dis_loss:0.3477455824613571\n",
            "Epoch:4839, gen_loss: 1.965000867843628\n",
            "Batch:1\n",
            "d_loss :  0.35189089179039\n",
            "g_loss: 2.3559916019439697\n",
            "Epoch:4839, dis_loss:0.34981823712587357\n",
            "Epoch:4839, gen_loss: 2.160496234893799\n",
            "Batch:2\n",
            "d_loss :  0.33227553963661194\n",
            "g_loss: 2.5625510215759277\n",
            "Epoch:4839, dis_loss:0.3439706712961197\n",
            "Epoch:4839, gen_loss: 2.2945144971211753\n",
            "Batch:3\n",
            "d_loss :  0.34739671647548676\n",
            "g_loss: 2.25042724609375\n",
            "Epoch:4839, dis_loss:0.34482718259096146\n",
            "Epoch:4839, gen_loss: 2.283492684364319\n",
            "--------------------------\n",
            "Epoch is 4840\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33045952022075653\n",
            "g_loss: 2.4452052116394043\n",
            "Epoch:4840, dis_loss:0.33045952022075653\n",
            "Epoch:4840, gen_loss: 2.4452052116394043\n",
            "Batch:1\n",
            "d_loss :  0.3335238993167877\n",
            "g_loss: 2.0944650173187256\n",
            "Epoch:4840, dis_loss:0.3319917097687721\n",
            "Epoch:4840, gen_loss: 2.269835114479065\n",
            "Batch:2\n",
            "d_loss :  0.3321972042322159\n",
            "g_loss: 2.3896639347076416\n",
            "Epoch:4840, dis_loss:0.33206020792325336\n",
            "Epoch:4840, gen_loss: 2.3097780545552573\n",
            "Batch:3\n",
            "d_loss :  0.3383078873157501\n",
            "g_loss: 2.2430880069732666\n",
            "Epoch:4840, dis_loss:0.33362212777137756\n",
            "Epoch:4840, gen_loss: 2.2931055426597595\n",
            "--------------------------\n",
            "Epoch is 4841\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33760271966457367\n",
            "g_loss: 2.1785888671875\n",
            "Epoch:4841, dis_loss:0.33760271966457367\n",
            "Epoch:4841, gen_loss: 2.1785888671875\n",
            "Batch:1\n",
            "d_loss :  0.3436724841594696\n",
            "g_loss: 2.3141098022460938\n",
            "Epoch:4841, dis_loss:0.34063760191202164\n",
            "Epoch:4841, gen_loss: 2.246349334716797\n",
            "Batch:2\n",
            "d_loss :  0.34689606726169586\n",
            "g_loss: 2.2401301860809326\n",
            "Epoch:4841, dis_loss:0.3427237570285797\n",
            "Epoch:4841, gen_loss: 2.244276285171509\n",
            "Batch:3\n",
            "d_loss :  0.3428064435720444\n",
            "g_loss: 1.9147603511810303\n",
            "Epoch:4841, dis_loss:0.3427444286644459\n",
            "Epoch:4841, gen_loss: 2.161897301673889\n",
            "--------------------------\n",
            "Epoch is 4842\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3373743146657944\n",
            "g_loss: 3.0872621536254883\n",
            "Epoch:4842, dis_loss:0.3373743146657944\n",
            "Epoch:4842, gen_loss: 3.0872621536254883\n",
            "Batch:1\n",
            "d_loss :  0.3696501851081848\n",
            "g_loss: 1.9142757654190063\n",
            "Epoch:4842, dis_loss:0.3535122498869896\n",
            "Epoch:4842, gen_loss: 2.5007689595222473\n",
            "Batch:2\n",
            "d_loss :  0.3332495391368866\n",
            "g_loss: 2.385983467102051\n",
            "Epoch:4842, dis_loss:0.3467580129702886\n",
            "Epoch:4842, gen_loss: 2.462507128715515\n",
            "Batch:3\n",
            "d_loss :  0.3129703253507614\n",
            "g_loss: 2.6570239067077637\n",
            "Epoch:4842, dis_loss:0.3383110910654068\n",
            "Epoch:4842, gen_loss: 2.5111363232135773\n",
            "--------------------------\n",
            "Epoch is 4843\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3488011658191681\n",
            "g_loss: 1.9838922023773193\n",
            "Epoch:4843, dis_loss:0.3488011658191681\n",
            "Epoch:4843, gen_loss: 1.9838922023773193\n",
            "Batch:1\n",
            "d_loss :  0.3332740366458893\n",
            "g_loss: 2.231368064880371\n",
            "Epoch:4843, dis_loss:0.3410376012325287\n",
            "Epoch:4843, gen_loss: 2.107630133628845\n",
            "Batch:2\n",
            "d_loss :  0.3345254063606262\n",
            "g_loss: 2.485093116760254\n",
            "Epoch:4843, dis_loss:0.3388668696085612\n",
            "Epoch:4843, gen_loss: 2.2334511280059814\n",
            "Batch:3\n",
            "d_loss :  0.3530081659555435\n",
            "g_loss: 2.521674156188965\n",
            "Epoch:4843, dis_loss:0.3424021936953068\n",
            "Epoch:4843, gen_loss: 2.3055068850517273\n",
            "--------------------------\n",
            "Epoch is 4844\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33600547909736633\n",
            "g_loss: 2.0662763118743896\n",
            "Epoch:4844, dis_loss:0.33600547909736633\n",
            "Epoch:4844, gen_loss: 2.0662763118743896\n",
            "Batch:1\n",
            "d_loss :  0.3415758013725281\n",
            "g_loss: 2.0889339447021484\n",
            "Epoch:4844, dis_loss:0.3387906402349472\n",
            "Epoch:4844, gen_loss: 2.077605128288269\n",
            "Batch:2\n",
            "d_loss :  0.3498656153678894\n",
            "g_loss: 2.4247071743011475\n",
            "Epoch:4844, dis_loss:0.3424822986125946\n",
            "Epoch:4844, gen_loss: 2.193305810292562\n",
            "Batch:3\n",
            "d_loss :  0.3500370979309082\n",
            "g_loss: 2.2429277896881104\n",
            "Epoch:4844, dis_loss:0.344370998442173\n",
            "Epoch:4844, gen_loss: 2.205711305141449\n",
            "--------------------------\n",
            "Epoch is 4845\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3380001187324524\n",
            "g_loss: 1.8687751293182373\n",
            "Epoch:4845, dis_loss:0.3380001187324524\n",
            "Epoch:4845, gen_loss: 1.8687751293182373\n",
            "Batch:1\n",
            "d_loss :  0.34137122333049774\n",
            "g_loss: 2.2439823150634766\n",
            "Epoch:4845, dis_loss:0.33968567103147507\n",
            "Epoch:4845, gen_loss: 2.056378722190857\n",
            "Batch:2\n",
            "d_loss :  0.332333043217659\n",
            "g_loss: 2.404402017593384\n",
            "Epoch:4845, dis_loss:0.3372347950935364\n",
            "Epoch:4845, gen_loss: 2.1723864873250327\n",
            "Batch:3\n",
            "d_loss :  0.3418324738740921\n",
            "g_loss: 1.993603229522705\n",
            "Epoch:4845, dis_loss:0.3383842147886753\n",
            "Epoch:4845, gen_loss: 2.1276906728744507\n",
            "--------------------------\n",
            "Epoch is 4846\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35943977534770966\n",
            "g_loss: 2.796085834503174\n",
            "Epoch:4846, dis_loss:0.35943977534770966\n",
            "Epoch:4846, gen_loss: 2.796085834503174\n",
            "Batch:1\n",
            "d_loss :  0.36893948912620544\n",
            "g_loss: 1.8649183511734009\n",
            "Epoch:4846, dis_loss:0.36418963223695755\n",
            "Epoch:4846, gen_loss: 2.3305020928382874\n",
            "Batch:2\n",
            "d_loss :  0.3324600160121918\n",
            "g_loss: 2.5554189682006836\n",
            "Epoch:4846, dis_loss:0.35361309349536896\n",
            "Epoch:4846, gen_loss: 2.405474384625753\n",
            "Batch:3\n",
            "d_loss :  0.33725687861442566\n",
            "g_loss: 2.2213287353515625\n",
            "Epoch:4846, dis_loss:0.34952403977513313\n",
            "Epoch:4846, gen_loss: 2.359437972307205\n",
            "--------------------------\n",
            "Epoch is 4847\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33111853897571564\n",
            "g_loss: 2.4290080070495605\n",
            "Epoch:4847, dis_loss:0.33111853897571564\n",
            "Epoch:4847, gen_loss: 2.4290080070495605\n",
            "Batch:1\n",
            "d_loss :  0.350858673453331\n",
            "g_loss: 1.9656894207000732\n",
            "Epoch:4847, dis_loss:0.3409886062145233\n",
            "Epoch:4847, gen_loss: 2.197348713874817\n",
            "Batch:2\n",
            "d_loss :  0.3606140911579132\n",
            "g_loss: 2.9840292930603027\n",
            "Epoch:4847, dis_loss:0.34753043452898663\n",
            "Epoch:4847, gen_loss: 2.459575573603312\n",
            "Batch:3\n",
            "d_loss :  0.3883673846721649\n",
            "g_loss: 2.228330612182617\n",
            "Epoch:4847, dis_loss:0.3577396720647812\n",
            "Epoch:4847, gen_loss: 2.4017643332481384\n",
            "--------------------------\n",
            "Epoch is 4848\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3452148735523224\n",
            "g_loss: 2.0114359855651855\n",
            "Epoch:4848, dis_loss:0.3452148735523224\n",
            "Epoch:4848, gen_loss: 2.0114359855651855\n",
            "Batch:1\n",
            "d_loss :  0.3488328754901886\n",
            "g_loss: 2.2277371883392334\n",
            "Epoch:4848, dis_loss:0.3470238745212555\n",
            "Epoch:4848, gen_loss: 2.1195865869522095\n",
            "Batch:2\n",
            "d_loss :  0.34105120599269867\n",
            "g_loss: 2.076838970184326\n",
            "Epoch:4848, dis_loss:0.34503298501173657\n",
            "Epoch:4848, gen_loss: 2.105337381362915\n",
            "Batch:3\n",
            "d_loss :  0.3252902925014496\n",
            "g_loss: 1.940204381942749\n",
            "Epoch:4848, dis_loss:0.3400973118841648\n",
            "Epoch:4848, gen_loss: 2.0640541315078735\n",
            "--------------------------\n",
            "Epoch is 4849\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3388081192970276\n",
            "g_loss: 2.4541168212890625\n",
            "Epoch:4849, dis_loss:0.3388081192970276\n",
            "Epoch:4849, gen_loss: 2.4541168212890625\n",
            "Batch:1\n",
            "d_loss :  0.340726837515831\n",
            "g_loss: 2.1916604042053223\n",
            "Epoch:4849, dis_loss:0.3397674784064293\n",
            "Epoch:4849, gen_loss: 2.3228886127471924\n",
            "Batch:2\n",
            "d_loss :  0.33535531163215637\n",
            "g_loss: 2.17834210395813\n",
            "Epoch:4849, dis_loss:0.3382967561483383\n",
            "Epoch:4849, gen_loss: 2.2747064431508384\n",
            "Batch:3\n",
            "d_loss :  0.32238173484802246\n",
            "g_loss: 2.122418165206909\n",
            "Epoch:4849, dis_loss:0.33431800082325935\n",
            "Epoch:4849, gen_loss: 2.236634373664856\n",
            "--------------------------\n",
            "Epoch is 4850\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33605632185935974\n",
            "g_loss: 2.405768394470215\n",
            "Epoch:4850, dis_loss:0.33605632185935974\n",
            "Epoch:4850, gen_loss: 2.405768394470215\n",
            "Batch:1\n",
            "d_loss :  0.34391069412231445\n",
            "g_loss: 2.0714592933654785\n",
            "Epoch:4850, dis_loss:0.3399835079908371\n",
            "Epoch:4850, gen_loss: 2.2386138439178467\n",
            "Batch:2\n",
            "d_loss :  0.33504584431648254\n",
            "g_loss: 2.259195327758789\n",
            "Epoch:4850, dis_loss:0.33833762009938556\n",
            "Epoch:4850, gen_loss: 2.245474338531494\n",
            "Batch:3\n",
            "d_loss :  0.3428657501935959\n",
            "g_loss: 2.1962242126464844\n",
            "Epoch:4850, dis_loss:0.33946965262293816\n",
            "Epoch:4850, gen_loss: 2.2331618070602417\n",
            "--------------------------\n",
            "Epoch is 4851\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35517461597919464\n",
            "g_loss: 2.207684278488159\n",
            "Epoch:4851, dis_loss:0.35517461597919464\n",
            "Epoch:4851, gen_loss: 2.207684278488159\n",
            "Batch:1\n",
            "d_loss :  0.32824045419692993\n",
            "g_loss: 2.0001230239868164\n",
            "Epoch:4851, dis_loss:0.3417075350880623\n",
            "Epoch:4851, gen_loss: 2.103903651237488\n",
            "Batch:2\n",
            "d_loss :  0.33420151472091675\n",
            "g_loss: 2.1411666870117188\n",
            "Epoch:4851, dis_loss:0.3392055282990138\n",
            "Epoch:4851, gen_loss: 2.1163246631622314\n",
            "Batch:3\n",
            "d_loss :  0.3443058133125305\n",
            "g_loss: 2.6039018630981445\n",
            "Epoch:4851, dis_loss:0.34048059955239296\n",
            "Epoch:4851, gen_loss: 2.2382189631462097\n",
            "--------------------------\n",
            "Epoch is 4852\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34192807972431183\n",
            "g_loss: 2.0023744106292725\n",
            "Epoch:4852, dis_loss:0.34192807972431183\n",
            "Epoch:4852, gen_loss: 2.0023744106292725\n",
            "Batch:1\n",
            "d_loss :  0.3542066812515259\n",
            "g_loss: 2.664808750152588\n",
            "Epoch:4852, dis_loss:0.34806738048791885\n",
            "Epoch:4852, gen_loss: 2.33359158039093\n",
            "Batch:2\n",
            "d_loss :  0.3452790826559067\n",
            "g_loss: 2.1300597190856934\n",
            "Epoch:4852, dis_loss:0.3471379478772481\n",
            "Epoch:4852, gen_loss: 2.265747626622518\n",
            "Batch:3\n",
            "d_loss :  0.3362278491258621\n",
            "g_loss: 2.0547895431518555\n",
            "Epoch:4852, dis_loss:0.3444104231894016\n",
            "Epoch:4852, gen_loss: 2.2130081057548523\n",
            "--------------------------\n",
            "Epoch is 4853\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.349466472864151\n",
            "g_loss: 2.7876133918762207\n",
            "Epoch:4853, dis_loss:0.349466472864151\n",
            "Epoch:4853, gen_loss: 2.7876133918762207\n",
            "Batch:1\n",
            "d_loss :  0.3500112146139145\n",
            "g_loss: 2.1782820224761963\n",
            "Epoch:4853, dis_loss:0.34973884373903275\n",
            "Epoch:4853, gen_loss: 2.4829477071762085\n",
            "Batch:2\n",
            "d_loss :  0.34076952934265137\n",
            "g_loss: 2.483860969543457\n",
            "Epoch:4853, dis_loss:0.34674907227357227\n",
            "Epoch:4853, gen_loss: 2.4832521279652915\n",
            "Batch:3\n",
            "d_loss :  0.33695317804813385\n",
            "g_loss: 2.384331703186035\n",
            "Epoch:4853, dis_loss:0.3443000987172127\n",
            "Epoch:4853, gen_loss: 2.4585220217704773\n",
            "--------------------------\n",
            "Epoch is 4854\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3448159247636795\n",
            "g_loss: 2.0290722846984863\n",
            "Epoch:4854, dis_loss:0.3448159247636795\n",
            "Epoch:4854, gen_loss: 2.0290722846984863\n",
            "Batch:1\n",
            "d_loss :  0.3358975946903229\n",
            "g_loss: 1.8619585037231445\n",
            "Epoch:4854, dis_loss:0.3403567597270012\n",
            "Epoch:4854, gen_loss: 1.9455153942108154\n",
            "Batch:2\n",
            "d_loss :  0.34253066778182983\n",
            "g_loss: 2.633321523666382\n",
            "Epoch:4854, dis_loss:0.3410813957452774\n",
            "Epoch:4854, gen_loss: 2.1747841040293374\n",
            "Batch:3\n",
            "d_loss :  0.3537551611661911\n",
            "g_loss: 2.018547296524048\n",
            "Epoch:4854, dis_loss:0.34424983710050583\n",
            "Epoch:4854, gen_loss: 2.135724902153015\n",
            "--------------------------\n",
            "Epoch is 4855\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3356141448020935\n",
            "g_loss: 2.2428677082061768\n",
            "Epoch:4855, dis_loss:0.3356141448020935\n",
            "Epoch:4855, gen_loss: 2.2428677082061768\n",
            "Batch:1\n",
            "d_loss :  0.3377053737640381\n",
            "g_loss: 2.1922359466552734\n",
            "Epoch:4855, dis_loss:0.3366597592830658\n",
            "Epoch:4855, gen_loss: 2.217551827430725\n",
            "Batch:2\n",
            "d_loss :  0.3225753456354141\n",
            "g_loss: 2.2015907764434814\n",
            "Epoch:4855, dis_loss:0.33196495473384857\n",
            "Epoch:4855, gen_loss: 2.212231477101644\n",
            "Batch:3\n",
            "d_loss :  0.32340382039546967\n",
            "g_loss: 2.1861579418182373\n",
            "Epoch:4855, dis_loss:0.32982467114925385\n",
            "Epoch:4855, gen_loss: 2.2057130932807922\n",
            "--------------------------\n",
            "Epoch is 4856\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3297617584466934\n",
            "g_loss: 2.4628548622131348\n",
            "Epoch:4856, dis_loss:0.3297617584466934\n",
            "Epoch:4856, gen_loss: 2.4628548622131348\n",
            "Batch:1\n",
            "d_loss :  0.3262135982513428\n",
            "g_loss: 2.1865317821502686\n",
            "Epoch:4856, dis_loss:0.3279876783490181\n",
            "Epoch:4856, gen_loss: 2.3246933221817017\n",
            "Batch:2\n",
            "d_loss :  0.3498385548591614\n",
            "g_loss: 1.9635530710220337\n",
            "Epoch:4856, dis_loss:0.33527130385239917\n",
            "Epoch:4856, gen_loss: 2.2043132384618125\n",
            "Batch:3\n",
            "d_loss :  0.34135235846042633\n",
            "g_loss: 2.468400001525879\n",
            "Epoch:4856, dis_loss:0.336791567504406\n",
            "Epoch:4856, gen_loss: 2.270334929227829\n",
            "--------------------------\n",
            "Epoch is 4857\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3370330482721329\n",
            "g_loss: 2.1801137924194336\n",
            "Epoch:4857, dis_loss:0.3370330482721329\n",
            "Epoch:4857, gen_loss: 2.1801137924194336\n",
            "Batch:1\n",
            "d_loss :  0.33869656920433044\n",
            "g_loss: 2.373797655105591\n",
            "Epoch:4857, dis_loss:0.33786480873823166\n",
            "Epoch:4857, gen_loss: 2.276955723762512\n",
            "Batch:2\n",
            "d_loss :  0.34583844244480133\n",
            "g_loss: 1.9634839296340942\n",
            "Epoch:4857, dis_loss:0.34052268664042157\n",
            "Epoch:4857, gen_loss: 2.172465125719706\n",
            "Batch:3\n",
            "d_loss :  0.33975984156131744\n",
            "g_loss: 2.7579498291015625\n",
            "Epoch:4857, dis_loss:0.3403319753706455\n",
            "Epoch:4857, gen_loss: 2.3188363015651703\n",
            "--------------------------\n",
            "Epoch is 4858\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3612901270389557\n",
            "g_loss: 2.102349281311035\n",
            "Epoch:4858, dis_loss:0.3612901270389557\n",
            "Epoch:4858, gen_loss: 2.102349281311035\n",
            "Batch:1\n",
            "d_loss :  0.3404337614774704\n",
            "g_loss: 2.2124197483062744\n",
            "Epoch:4858, dis_loss:0.35086194425821304\n",
            "Epoch:4858, gen_loss: 2.157384514808655\n",
            "Batch:2\n",
            "d_loss :  0.3318960666656494\n",
            "g_loss: 1.9602395296096802\n",
            "Epoch:4858, dis_loss:0.34453998506069183\n",
            "Epoch:4858, gen_loss: 2.09166951974233\n",
            "Batch:3\n",
            "d_loss :  0.34096576273441315\n",
            "g_loss: 2.652179718017578\n",
            "Epoch:4858, dis_loss:0.34364642947912216\n",
            "Epoch:4858, gen_loss: 2.231797069311142\n",
            "--------------------------\n",
            "Epoch is 4859\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3433542400598526\n",
            "g_loss: 2.256442070007324\n",
            "Epoch:4859, dis_loss:0.3433542400598526\n",
            "Epoch:4859, gen_loss: 2.256442070007324\n",
            "Batch:1\n",
            "d_loss :  0.32539452612400055\n",
            "g_loss: 2.167754888534546\n",
            "Epoch:4859, dis_loss:0.3343743830919266\n",
            "Epoch:4859, gen_loss: 2.212098479270935\n",
            "Batch:2\n",
            "d_loss :  0.3379778265953064\n",
            "g_loss: 2.3633828163146973\n",
            "Epoch:4859, dis_loss:0.33557553092638653\n",
            "Epoch:4859, gen_loss: 2.262526591618856\n",
            "Batch:3\n",
            "d_loss :  0.34426644444465637\n",
            "g_loss: 1.997058391571045\n",
            "Epoch:4859, dis_loss:0.337748259305954\n",
            "Epoch:4859, gen_loss: 2.196159541606903\n",
            "--------------------------\n",
            "Epoch is 4860\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3095163106918335\n",
            "g_loss: 2.4593887329101562\n",
            "Epoch:4860, dis_loss:0.3095163106918335\n",
            "Epoch:4860, gen_loss: 2.4593887329101562\n",
            "Batch:1\n",
            "d_loss :  0.33649714291095734\n",
            "g_loss: 2.2245683670043945\n",
            "Epoch:4860, dis_loss:0.3230067268013954\n",
            "Epoch:4860, gen_loss: 2.3419785499572754\n",
            "Batch:2\n",
            "d_loss :  0.3341842293739319\n",
            "g_loss: 1.984544277191162\n",
            "Epoch:4860, dis_loss:0.3267325609922409\n",
            "Epoch:4860, gen_loss: 2.222833792368571\n",
            "Batch:3\n",
            "d_loss :  0.3362959623336792\n",
            "g_loss: 2.2722740173339844\n",
            "Epoch:4860, dis_loss:0.3291234113276005\n",
            "Epoch:4860, gen_loss: 2.2351938486099243\n",
            "--------------------------\n",
            "Epoch is 4861\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3274543285369873\n",
            "g_loss: 2.5237345695495605\n",
            "Epoch:4861, dis_loss:0.3274543285369873\n",
            "Epoch:4861, gen_loss: 2.5237345695495605\n",
            "Batch:1\n",
            "d_loss :  0.3487479239702225\n",
            "g_loss: 2.1095046997070312\n",
            "Epoch:4861, dis_loss:0.3381011262536049\n",
            "Epoch:4861, gen_loss: 2.316619634628296\n",
            "Batch:2\n",
            "d_loss :  0.3290029317140579\n",
            "g_loss: 2.267603874206543\n",
            "Epoch:4861, dis_loss:0.33506839474042255\n",
            "Epoch:4861, gen_loss: 2.300281047821045\n",
            "Batch:3\n",
            "d_loss :  0.32257306575775146\n",
            "g_loss: 2.1822776794433594\n",
            "Epoch:4861, dis_loss:0.3319445624947548\n",
            "Epoch:4861, gen_loss: 2.2707802057266235\n",
            "--------------------------\n",
            "Epoch is 4862\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3422692120075226\n",
            "g_loss: 2.6498937606811523\n",
            "Epoch:4862, dis_loss:0.3422692120075226\n",
            "Epoch:4862, gen_loss: 2.6498937606811523\n",
            "Batch:1\n",
            "d_loss :  0.35229505598545074\n",
            "g_loss: 2.3650569915771484\n",
            "Epoch:4862, dis_loss:0.34728213399648666\n",
            "Epoch:4862, gen_loss: 2.5074753761291504\n",
            "Batch:2\n",
            "d_loss :  0.3267243951559067\n",
            "g_loss: 2.2278079986572266\n",
            "Epoch:4862, dis_loss:0.34042955438296\n",
            "Epoch:4862, gen_loss: 2.4142529169718423\n",
            "Batch:3\n",
            "d_loss :  0.33513161540031433\n",
            "g_loss: 2.015605926513672\n",
            "Epoch:4862, dis_loss:0.3391050696372986\n",
            "Epoch:4862, gen_loss: 2.3145911693573\n",
            "--------------------------\n",
            "Epoch is 4863\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34398043155670166\n",
            "g_loss: 2.752500534057617\n",
            "Epoch:4863, dis_loss:0.34398043155670166\n",
            "Epoch:4863, gen_loss: 2.752500534057617\n",
            "Batch:1\n",
            "d_loss :  0.34751372039318085\n",
            "g_loss: 1.941039800643921\n",
            "Epoch:4863, dis_loss:0.34574707597494125\n",
            "Epoch:4863, gen_loss: 2.346770167350769\n",
            "Batch:2\n",
            "d_loss :  0.33227522671222687\n",
            "g_loss: 2.3652431964874268\n",
            "Epoch:4863, dis_loss:0.34125645955403644\n",
            "Epoch:4863, gen_loss: 2.352927843729655\n",
            "Batch:3\n",
            "d_loss :  0.32928140461444855\n",
            "g_loss: 2.2989249229431152\n",
            "Epoch:4863, dis_loss:0.3382626958191395\n",
            "Epoch:4863, gen_loss: 2.33942711353302\n",
            "--------------------------\n",
            "Epoch is 4864\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3365575522184372\n",
            "g_loss: 2.081942081451416\n",
            "Epoch:4864, dis_loss:0.3365575522184372\n",
            "Epoch:4864, gen_loss: 2.081942081451416\n",
            "Batch:1\n",
            "d_loss :  0.34011681377887726\n",
            "g_loss: 2.303679943084717\n",
            "Epoch:4864, dis_loss:0.3383371829986572\n",
            "Epoch:4864, gen_loss: 2.1928110122680664\n",
            "Batch:2\n",
            "d_loss :  0.34546583890914917\n",
            "g_loss: 2.0195930004119873\n",
            "Epoch:4864, dis_loss:0.34071340163548786\n",
            "Epoch:4864, gen_loss: 2.1350716749827066\n",
            "Batch:3\n",
            "d_loss :  0.34716862440109253\n",
            "g_loss: 2.3829731941223145\n",
            "Epoch:4864, dis_loss:0.34232720732688904\n",
            "Epoch:4864, gen_loss: 2.1970470547676086\n",
            "--------------------------\n",
            "Epoch is 4865\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34428244829177856\n",
            "g_loss: 2.129992961883545\n",
            "Epoch:4865, dis_loss:0.34428244829177856\n",
            "Epoch:4865, gen_loss: 2.129992961883545\n",
            "Batch:1\n",
            "d_loss :  0.3239430785179138\n",
            "g_loss: 2.355480909347534\n",
            "Epoch:4865, dis_loss:0.3341127634048462\n",
            "Epoch:4865, gen_loss: 2.2427369356155396\n",
            "Batch:2\n",
            "d_loss :  0.33803316950798035\n",
            "g_loss: 2.001295566558838\n",
            "Epoch:4865, dis_loss:0.33541956543922424\n",
            "Epoch:4865, gen_loss: 2.1622564792633057\n",
            "Batch:3\n",
            "d_loss :  0.3493952751159668\n",
            "g_loss: 2.320997714996338\n",
            "Epoch:4865, dis_loss:0.3389134928584099\n",
            "Epoch:4865, gen_loss: 2.2019417881965637\n",
            "--------------------------\n",
            "Epoch is 4866\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34506942331790924\n",
            "g_loss: 2.153201103210449\n",
            "Epoch:4866, dis_loss:0.34506942331790924\n",
            "Epoch:4866, gen_loss: 2.153201103210449\n",
            "Batch:1\n",
            "d_loss :  0.3248012065887451\n",
            "g_loss: 2.223623752593994\n",
            "Epoch:4866, dis_loss:0.3349353149533272\n",
            "Epoch:4866, gen_loss: 2.1884124279022217\n",
            "Batch:2\n",
            "d_loss :  0.33604468405246735\n",
            "g_loss: 2.2883219718933105\n",
            "Epoch:4866, dis_loss:0.3353051046530406\n",
            "Epoch:4866, gen_loss: 2.2217156092325845\n",
            "Batch:3\n",
            "d_loss :  0.33185431361198425\n",
            "g_loss: 2.158597707748413\n",
            "Epoch:4866, dis_loss:0.3344424068927765\n",
            "Epoch:4866, gen_loss: 2.2059361338615417\n",
            "--------------------------\n",
            "Epoch is 4867\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3118603974580765\n",
            "g_loss: 2.4286093711853027\n",
            "Epoch:4867, dis_loss:0.3118603974580765\n",
            "Epoch:4867, gen_loss: 2.4286093711853027\n",
            "Batch:1\n",
            "d_loss :  0.3410014361143112\n",
            "g_loss: 2.205951452255249\n",
            "Epoch:4867, dis_loss:0.32643091678619385\n",
            "Epoch:4867, gen_loss: 2.317280411720276\n",
            "Batch:2\n",
            "d_loss :  0.33163103461265564\n",
            "g_loss: 2.2841577529907227\n",
            "Epoch:4867, dis_loss:0.32816428939501446\n",
            "Epoch:4867, gen_loss: 2.3062395254770913\n",
            "Batch:3\n",
            "d_loss :  0.33428752422332764\n",
            "g_loss: 2.1146297454833984\n",
            "Epoch:4867, dis_loss:0.32969509810209274\n",
            "Epoch:4867, gen_loss: 2.258337080478668\n",
            "--------------------------\n",
            "Epoch is 4868\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33172033727169037\n",
            "g_loss: 2.456012725830078\n",
            "Epoch:4868, dis_loss:0.33172033727169037\n",
            "Epoch:4868, gen_loss: 2.456012725830078\n",
            "Batch:1\n",
            "d_loss :  0.34806476533412933\n",
            "g_loss: 1.9921164512634277\n",
            "Epoch:4868, dis_loss:0.33989255130290985\n",
            "Epoch:4868, gen_loss: 2.224064588546753\n",
            "Batch:2\n",
            "d_loss :  0.3444693684577942\n",
            "g_loss: 2.4658336639404297\n",
            "Epoch:4868, dis_loss:0.34141815702120465\n",
            "Epoch:4868, gen_loss: 2.304654280344645\n",
            "Batch:3\n",
            "d_loss :  0.3350873291492462\n",
            "g_loss: 2.344291925430298\n",
            "Epoch:4868, dis_loss:0.339835450053215\n",
            "Epoch:4868, gen_loss: 2.3145636916160583\n",
            "--------------------------\n",
            "Epoch is 4869\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3309798091650009\n",
            "g_loss: 2.5110325813293457\n",
            "Epoch:4869, dis_loss:0.3309798091650009\n",
            "Epoch:4869, gen_loss: 2.5110325813293457\n",
            "Batch:1\n",
            "d_loss :  0.34921276569366455\n",
            "g_loss: 1.9380815029144287\n",
            "Epoch:4869, dis_loss:0.34009628742933273\n",
            "Epoch:4869, gen_loss: 2.224557042121887\n",
            "Batch:2\n",
            "d_loss :  0.3395918756723404\n",
            "g_loss: 2.1481857299804688\n",
            "Epoch:4869, dis_loss:0.33992815017700195\n",
            "Epoch:4869, gen_loss: 2.1990999380747476\n",
            "Batch:3\n",
            "d_loss :  0.33258043229579926\n",
            "g_loss: 2.6943905353546143\n",
            "Epoch:4869, dis_loss:0.3380912207067013\n",
            "Epoch:4869, gen_loss: 2.3229225873947144\n",
            "--------------------------\n",
            "Epoch is 4870\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3536881357431412\n",
            "g_loss: 2.147371292114258\n",
            "Epoch:4870, dis_loss:0.3536881357431412\n",
            "Epoch:4870, gen_loss: 2.147371292114258\n",
            "Batch:1\n",
            "d_loss :  0.33198148012161255\n",
            "g_loss: 2.3397088050842285\n",
            "Epoch:4870, dis_loss:0.34283480793237686\n",
            "Epoch:4870, gen_loss: 2.243540048599243\n",
            "Batch:2\n",
            "d_loss :  0.3277447819709778\n",
            "g_loss: 2.136367082595825\n",
            "Epoch:4870, dis_loss:0.33780479927857715\n",
            "Epoch:4870, gen_loss: 2.207815726598104\n",
            "Batch:3\n",
            "d_loss :  0.3305283337831497\n",
            "g_loss: 2.4644808769226074\n",
            "Epoch:4870, dis_loss:0.3359856829047203\n",
            "Epoch:4870, gen_loss: 2.2719820141792297\n",
            "--------------------------\n",
            "Epoch is 4871\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33468180894851685\n",
            "g_loss: 2.281677007675171\n",
            "Epoch:4871, dis_loss:0.33468180894851685\n",
            "Epoch:4871, gen_loss: 2.281677007675171\n",
            "Batch:1\n",
            "d_loss :  0.3292153775691986\n",
            "g_loss: 2.2283191680908203\n",
            "Epoch:4871, dis_loss:0.3319485932588577\n",
            "Epoch:4871, gen_loss: 2.2549980878829956\n",
            "Batch:2\n",
            "d_loss :  0.3410659730434418\n",
            "g_loss: 2.102634906768799\n",
            "Epoch:4871, dis_loss:0.33498771985371906\n",
            "Epoch:4871, gen_loss: 2.20421036084493\n",
            "Batch:3\n",
            "d_loss :  0.3247823417186737\n",
            "g_loss: 2.130215644836426\n",
            "Epoch:4871, dis_loss:0.33243637531995773\n",
            "Epoch:4871, gen_loss: 2.185711681842804\n",
            "--------------------------\n",
            "Epoch is 4872\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3429147005081177\n",
            "g_loss: 2.5384223461151123\n",
            "Epoch:4872, dis_loss:0.3429147005081177\n",
            "Epoch:4872, gen_loss: 2.5384223461151123\n",
            "Batch:1\n",
            "d_loss :  0.3435607850551605\n",
            "g_loss: 2.084918260574341\n",
            "Epoch:4872, dis_loss:0.3432377427816391\n",
            "Epoch:4872, gen_loss: 2.3116703033447266\n",
            "Batch:2\n",
            "d_loss :  0.34900692105293274\n",
            "g_loss: 2.1099348068237305\n",
            "Epoch:4872, dis_loss:0.3451608022054036\n",
            "Epoch:4872, gen_loss: 2.244425137837728\n",
            "Batch:3\n",
            "d_loss :  0.3435812443494797\n",
            "g_loss: 2.5543060302734375\n",
            "Epoch:4872, dis_loss:0.34476591274142265\n",
            "Epoch:4872, gen_loss: 2.3218953609466553\n",
            "--------------------------\n",
            "Epoch is 4873\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3590313196182251\n",
            "g_loss: 2.1513874530792236\n",
            "Epoch:4873, dis_loss:0.3590313196182251\n",
            "Epoch:4873, gen_loss: 2.1513874530792236\n",
            "Batch:1\n",
            "d_loss :  0.34023021161556244\n",
            "g_loss: 2.1890368461608887\n",
            "Epoch:4873, dis_loss:0.34963076561689377\n",
            "Epoch:4873, gen_loss: 2.170212149620056\n",
            "Batch:2\n",
            "d_loss :  0.33671464025974274\n",
            "g_loss: 2.1448912620544434\n",
            "Epoch:4873, dis_loss:0.34532539049784344\n",
            "Epoch:4873, gen_loss: 2.161771853764852\n",
            "Batch:3\n",
            "d_loss :  0.3353007137775421\n",
            "g_loss: 2.0153825283050537\n",
            "Epoch:4873, dis_loss:0.3428192213177681\n",
            "Epoch:4873, gen_loss: 2.1251745223999023\n",
            "--------------------------\n",
            "Epoch is 4874\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34627825021743774\n",
            "g_loss: 2.4879815578460693\n",
            "Epoch:4874, dis_loss:0.34627825021743774\n",
            "Epoch:4874, gen_loss: 2.4879815578460693\n",
            "Batch:1\n",
            "d_loss :  0.3535577207803726\n",
            "g_loss: 1.984085202217102\n",
            "Epoch:4874, dis_loss:0.3499179854989052\n",
            "Epoch:4874, gen_loss: 2.2360333800315857\n",
            "Batch:2\n",
            "d_loss :  0.33992478251457214\n",
            "g_loss: 2.306990623474121\n",
            "Epoch:4874, dis_loss:0.3465869178374608\n",
            "Epoch:4874, gen_loss: 2.2596857945124307\n",
            "Batch:3\n",
            "d_loss :  0.34422942996025085\n",
            "g_loss: 2.3421812057495117\n",
            "Epoch:4874, dis_loss:0.34599754586815834\n",
            "Epoch:4874, gen_loss: 2.280309647321701\n",
            "--------------------------\n",
            "Epoch is 4875\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3487744629383087\n",
            "g_loss: 2.1599597930908203\n",
            "Epoch:4875, dis_loss:0.3487744629383087\n",
            "Epoch:4875, gen_loss: 2.1599597930908203\n",
            "Batch:1\n",
            "d_loss :  0.3128156363964081\n",
            "g_loss: 2.1452319622039795\n",
            "Epoch:4875, dis_loss:0.3307950496673584\n",
            "Epoch:4875, gen_loss: 2.1525958776474\n",
            "Batch:2\n",
            "d_loss :  0.3498847931623459\n",
            "g_loss: 2.3437087535858154\n",
            "Epoch:4875, dis_loss:0.3371582974990209\n",
            "Epoch:4875, gen_loss: 2.2163001696268716\n",
            "Batch:3\n",
            "d_loss :  0.3433903902769089\n",
            "g_loss: 2.0332069396972656\n",
            "Epoch:4875, dis_loss:0.3387163206934929\n",
            "Epoch:4875, gen_loss: 2.17052686214447\n",
            "--------------------------\n",
            "Epoch is 4876\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3373759686946869\n",
            "g_loss: 2.3308722972869873\n",
            "Epoch:4876, dis_loss:0.3373759686946869\n",
            "Epoch:4876, gen_loss: 2.3308722972869873\n",
            "Batch:1\n",
            "d_loss :  0.33806706964969635\n",
            "g_loss: 2.2600674629211426\n",
            "Epoch:4876, dis_loss:0.3377215191721916\n",
            "Epoch:4876, gen_loss: 2.295469880104065\n",
            "Batch:2\n",
            "d_loss :  0.3464418202638626\n",
            "g_loss: 2.2654638290405273\n",
            "Epoch:4876, dis_loss:0.3406282862027486\n",
            "Epoch:4876, gen_loss: 2.2854678630828857\n",
            "Batch:3\n",
            "d_loss :  0.3325827419757843\n",
            "g_loss: 2.1513025760650635\n",
            "Epoch:4876, dis_loss:0.33861690014600754\n",
            "Epoch:4876, gen_loss: 2.25192654132843\n",
            "--------------------------\n",
            "Epoch is 4877\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.32235123217105865\n",
            "g_loss: 2.115931510925293\n",
            "Epoch:4877, dis_loss:0.32235123217105865\n",
            "Epoch:4877, gen_loss: 2.115931510925293\n",
            "Batch:1\n",
            "d_loss :  0.3369248956441879\n",
            "g_loss: 2.3804445266723633\n",
            "Epoch:4877, dis_loss:0.3296380639076233\n",
            "Epoch:4877, gen_loss: 2.248188018798828\n",
            "Batch:2\n",
            "d_loss :  0.3357122987508774\n",
            "g_loss: 2.157832622528076\n",
            "Epoch:4877, dis_loss:0.33166280885537464\n",
            "Epoch:4877, gen_loss: 2.218069553375244\n",
            "Batch:3\n",
            "d_loss :  0.3352649211883545\n",
            "g_loss: 2.0236575603485107\n",
            "Epoch:4877, dis_loss:0.3325633369386196\n",
            "Epoch:4877, gen_loss: 2.169466555118561\n",
            "--------------------------\n",
            "Epoch is 4878\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35100384056568146\n",
            "g_loss: 2.493177890777588\n",
            "Epoch:4878, dis_loss:0.35100384056568146\n",
            "Epoch:4878, gen_loss: 2.493177890777588\n",
            "Batch:1\n",
            "d_loss :  0.34716796875\n",
            "g_loss: 1.9857441186904907\n",
            "Epoch:4878, dis_loss:0.34908590465784073\n",
            "Epoch:4878, gen_loss: 2.2394610047340393\n",
            "Batch:2\n",
            "d_loss :  0.3249330520629883\n",
            "g_loss: 2.2265727519989014\n",
            "Epoch:4878, dis_loss:0.3410349537928899\n",
            "Epoch:4878, gen_loss: 2.235164920488993\n",
            "Batch:3\n",
            "d_loss :  0.3383311629295349\n",
            "g_loss: 2.360118865966797\n",
            "Epoch:4878, dis_loss:0.34035900607705116\n",
            "Epoch:4878, gen_loss: 2.266403406858444\n",
            "--------------------------\n",
            "Epoch is 4879\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34884750843048096\n",
            "g_loss: 1.9690676927566528\n",
            "Epoch:4879, dis_loss:0.34884750843048096\n",
            "Epoch:4879, gen_loss: 1.9690676927566528\n",
            "Batch:1\n",
            "d_loss :  0.3361351639032364\n",
            "g_loss: 2.351830005645752\n",
            "Epoch:4879, dis_loss:0.3424913361668587\n",
            "Epoch:4879, gen_loss: 2.1604488492012024\n",
            "Batch:2\n",
            "d_loss :  0.3180468827486038\n",
            "g_loss: 2.5366950035095215\n",
            "Epoch:4879, dis_loss:0.33434318502744037\n",
            "Epoch:4879, gen_loss: 2.285864233970642\n",
            "Batch:3\n",
            "d_loss :  0.3438663184642792\n",
            "g_loss: 2.3468017578125\n",
            "Epoch:4879, dis_loss:0.3367239683866501\n",
            "Epoch:4879, gen_loss: 2.3010986149311066\n",
            "--------------------------\n",
            "Epoch is 4880\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33599159121513367\n",
            "g_loss: 2.5348095893859863\n",
            "Epoch:4880, dis_loss:0.33599159121513367\n",
            "Epoch:4880, gen_loss: 2.5348095893859863\n",
            "Batch:1\n",
            "d_loss :  0.3499419242143631\n",
            "g_loss: 1.916081190109253\n",
            "Epoch:4880, dis_loss:0.3429667577147484\n",
            "Epoch:4880, gen_loss: 2.2254453897476196\n",
            "Batch:2\n",
            "d_loss :  0.35078389942646027\n",
            "g_loss: 2.421323776245117\n",
            "Epoch:4880, dis_loss:0.34557247161865234\n",
            "Epoch:4880, gen_loss: 2.2907381852467856\n",
            "Batch:3\n",
            "d_loss :  0.34925469756126404\n",
            "g_loss: 2.0964603424072266\n",
            "Epoch:4880, dis_loss:0.34649302810430527\n",
            "Epoch:4880, gen_loss: 2.2421687245368958\n",
            "--------------------------\n",
            "Epoch is 4881\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3488602489233017\n",
            "g_loss: 2.0627617835998535\n",
            "Epoch:4881, dis_loss:0.3488602489233017\n",
            "Epoch:4881, gen_loss: 2.0627617835998535\n",
            "Batch:1\n",
            "d_loss :  0.336455374956131\n",
            "g_loss: 2.4660751819610596\n",
            "Epoch:4881, dis_loss:0.34265781193971634\n",
            "Epoch:4881, gen_loss: 2.2644184827804565\n",
            "Batch:2\n",
            "d_loss :  0.33335888385772705\n",
            "g_loss: 2.2591922283172607\n",
            "Epoch:4881, dis_loss:0.3395581692457199\n",
            "Epoch:4881, gen_loss: 2.262676397959391\n",
            "Batch:3\n",
            "d_loss :  0.3368369787931442\n",
            "g_loss: 2.3492703437805176\n",
            "Epoch:4881, dis_loss:0.338877871632576\n",
            "Epoch:4881, gen_loss: 2.284324884414673\n",
            "--------------------------\n",
            "Epoch is 4882\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3372964709997177\n",
            "g_loss: 2.163651943206787\n",
            "Epoch:4882, dis_loss:0.3372964709997177\n",
            "Epoch:4882, gen_loss: 2.163651943206787\n",
            "Batch:1\n",
            "d_loss :  0.33316847681999207\n",
            "g_loss: 2.017880439758301\n",
            "Epoch:4882, dis_loss:0.3352324739098549\n",
            "Epoch:4882, gen_loss: 2.090766191482544\n",
            "Batch:2\n",
            "d_loss :  0.34736356139183044\n",
            "g_loss: 2.228231906890869\n",
            "Epoch:4882, dis_loss:0.33927616973718006\n",
            "Epoch:4882, gen_loss: 2.1365880966186523\n",
            "Batch:3\n",
            "d_loss :  0.3492438346147537\n",
            "g_loss: 2.053621530532837\n",
            "Epoch:4882, dis_loss:0.3417680859565735\n",
            "Epoch:4882, gen_loss: 2.1158464550971985\n",
            "--------------------------\n",
            "Epoch is 4883\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34492214024066925\n",
            "g_loss: 2.1327779293060303\n",
            "Epoch:4883, dis_loss:0.34492214024066925\n",
            "Epoch:4883, gen_loss: 2.1327779293060303\n",
            "Batch:1\n",
            "d_loss :  0.3285686671733856\n",
            "g_loss: 2.3230795860290527\n",
            "Epoch:4883, dis_loss:0.33674540370702744\n",
            "Epoch:4883, gen_loss: 2.2279287576675415\n",
            "Batch:2\n",
            "d_loss :  0.3311944156885147\n",
            "g_loss: 2.143515110015869\n",
            "Epoch:4883, dis_loss:0.3348950743675232\n",
            "Epoch:4883, gen_loss: 2.199790875116984\n",
            "Batch:3\n",
            "d_loss :  0.33885979652404785\n",
            "g_loss: 2.0066821575164795\n",
            "Epoch:4883, dis_loss:0.33588625490665436\n",
            "Epoch:4883, gen_loss: 2.151513695716858\n",
            "--------------------------\n",
            "Epoch is 4884\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3378790616989136\n",
            "g_loss: 2.2654647827148438\n",
            "Epoch:4884, dis_loss:0.3378790616989136\n",
            "Epoch:4884, gen_loss: 2.2654647827148438\n",
            "Batch:1\n",
            "d_loss :  0.33227765560150146\n",
            "g_loss: 2.1849071979522705\n",
            "Epoch:4884, dis_loss:0.3350783586502075\n",
            "Epoch:4884, gen_loss: 2.225185990333557\n",
            "Batch:2\n",
            "d_loss :  0.3477284014225006\n",
            "g_loss: 2.337862253189087\n",
            "Epoch:4884, dis_loss:0.33929503957430523\n",
            "Epoch:4884, gen_loss: 2.262744744618734\n",
            "Batch:3\n",
            "d_loss :  0.34006673097610474\n",
            "g_loss: 2.1395788192749023\n",
            "Epoch:4884, dis_loss:0.3394879624247551\n",
            "Epoch:4884, gen_loss: 2.231953263282776\n",
            "--------------------------\n",
            "Epoch is 4885\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34537269175052643\n",
            "g_loss: 2.3372678756713867\n",
            "Epoch:4885, dis_loss:0.34537269175052643\n",
            "Epoch:4885, gen_loss: 2.3372678756713867\n",
            "Batch:1\n",
            "d_loss :  0.3358876258134842\n",
            "g_loss: 2.3369109630584717\n",
            "Epoch:4885, dis_loss:0.3406301587820053\n",
            "Epoch:4885, gen_loss: 2.337089419364929\n",
            "Batch:2\n",
            "d_loss :  0.34691210091114044\n",
            "g_loss: 2.1872661113739014\n",
            "Epoch:4885, dis_loss:0.34272413949171704\n",
            "Epoch:4885, gen_loss: 2.2871483167012534\n",
            "Batch:3\n",
            "d_loss :  0.34655986726284027\n",
            "g_loss: 2.1705193519592285\n",
            "Epoch:4885, dis_loss:0.34368307143449783\n",
            "Epoch:4885, gen_loss: 2.257991075515747\n",
            "--------------------------\n",
            "Epoch is 4886\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3358954191207886\n",
            "g_loss: 2.255986213684082\n",
            "Epoch:4886, dis_loss:0.3358954191207886\n",
            "Epoch:4886, gen_loss: 2.255986213684082\n",
            "Batch:1\n",
            "d_loss :  0.3280003070831299\n",
            "g_loss: 2.0566463470458984\n",
            "Epoch:4886, dis_loss:0.33194786310195923\n",
            "Epoch:4886, gen_loss: 2.1563162803649902\n",
            "Batch:2\n",
            "d_loss :  0.32608404755592346\n",
            "g_loss: 2.1485819816589355\n",
            "Epoch:4886, dis_loss:0.3299932579199473\n",
            "Epoch:4886, gen_loss: 2.153738180796305\n",
            "Batch:3\n",
            "d_loss :  0.32133857905864716\n",
            "g_loss: 2.335469961166382\n",
            "Epoch:4886, dis_loss:0.32782958820462227\n",
            "Epoch:4886, gen_loss: 2.1991711258888245\n",
            "--------------------------\n",
            "Epoch is 4887\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34667111933231354\n",
            "g_loss: 2.1376752853393555\n",
            "Epoch:4887, dis_loss:0.34667111933231354\n",
            "Epoch:4887, gen_loss: 2.1376752853393555\n",
            "Batch:1\n",
            "d_loss :  0.3410152643918991\n",
            "g_loss: 2.1337499618530273\n",
            "Epoch:4887, dis_loss:0.3438431918621063\n",
            "Epoch:4887, gen_loss: 2.1357126235961914\n",
            "Batch:2\n",
            "d_loss :  0.32594893872737885\n",
            "g_loss: 2.2930164337158203\n",
            "Epoch:4887, dis_loss:0.33787844081719715\n",
            "Epoch:4887, gen_loss: 2.188147226969401\n",
            "Batch:3\n",
            "d_loss :  0.33632561564445496\n",
            "g_loss: 2.0602200031280518\n",
            "Epoch:4887, dis_loss:0.3374902345240116\n",
            "Epoch:4887, gen_loss: 2.1561654210090637\n",
            "--------------------------\n",
            "Epoch is 4888\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3334711790084839\n",
            "g_loss: 2.3803458213806152\n",
            "Epoch:4888, dis_loss:0.3334711790084839\n",
            "Epoch:4888, gen_loss: 2.3803458213806152\n",
            "Batch:1\n",
            "d_loss :  0.34184394776821136\n",
            "g_loss: 2.23640513420105\n",
            "Epoch:4888, dis_loss:0.3376575633883476\n",
            "Epoch:4888, gen_loss: 2.3083754777908325\n",
            "Batch:2\n",
            "d_loss :  0.3472467213869095\n",
            "g_loss: 2.01314640045166\n",
            "Epoch:4888, dis_loss:0.3408539493878682\n",
            "Epoch:4888, gen_loss: 2.209965785344442\n",
            "Batch:3\n",
            "d_loss :  0.3365638256072998\n",
            "g_loss: 2.348957061767578\n",
            "Epoch:4888, dis_loss:0.33978141844272614\n",
            "Epoch:4888, gen_loss: 2.244713604450226\n",
            "--------------------------\n",
            "Epoch is 4889\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3335351347923279\n",
            "g_loss: 2.381906747817993\n",
            "Epoch:4889, dis_loss:0.3335351347923279\n",
            "Epoch:4889, gen_loss: 2.381906747817993\n",
            "Batch:1\n",
            "d_loss :  0.3432747721672058\n",
            "g_loss: 1.9878126382827759\n",
            "Epoch:4889, dis_loss:0.33840495347976685\n",
            "Epoch:4889, gen_loss: 2.1848596930503845\n",
            "Batch:2\n",
            "d_loss :  0.33713167905807495\n",
            "g_loss: 2.157083511352539\n",
            "Epoch:4889, dis_loss:0.3379805286725362\n",
            "Epoch:4889, gen_loss: 2.1756009658177695\n",
            "Batch:3\n",
            "d_loss :  0.3347102999687195\n",
            "g_loss: 2.2515435218811035\n",
            "Epoch:4889, dis_loss:0.33716297149658203\n",
            "Epoch:4889, gen_loss: 2.194586604833603\n",
            "--------------------------\n",
            "Epoch is 4890\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34763777256011963\n",
            "g_loss: 2.304511070251465\n",
            "Epoch:4890, dis_loss:0.34763777256011963\n",
            "Epoch:4890, gen_loss: 2.304511070251465\n",
            "Batch:1\n",
            "d_loss :  0.3292306959629059\n",
            "g_loss: 2.1759605407714844\n",
            "Epoch:4890, dis_loss:0.33843423426151276\n",
            "Epoch:4890, gen_loss: 2.2402358055114746\n",
            "Batch:2\n",
            "d_loss :  0.3313317149877548\n",
            "g_loss: 1.8888919353485107\n",
            "Epoch:4890, dis_loss:0.33606672783692676\n",
            "Epoch:4890, gen_loss: 2.12312118212382\n",
            "Batch:3\n",
            "d_loss :  0.3293788433074951\n",
            "g_loss: 2.373225450515747\n",
            "Epoch:4890, dis_loss:0.33439475670456886\n",
            "Epoch:4890, gen_loss: 2.1856472492218018\n",
            "--------------------------\n",
            "Epoch is 4891\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3220684081315994\n",
            "g_loss: 2.335721015930176\n",
            "Epoch:4891, dis_loss:0.3220684081315994\n",
            "Epoch:4891, gen_loss: 2.335721015930176\n",
            "Batch:1\n",
            "d_loss :  0.3405033200979233\n",
            "g_loss: 2.0483763217926025\n",
            "Epoch:4891, dis_loss:0.33128586411476135\n",
            "Epoch:4891, gen_loss: 2.192048668861389\n",
            "Batch:2\n",
            "d_loss :  0.3253088891506195\n",
            "g_loss: 2.4349067211151123\n",
            "Epoch:4891, dis_loss:0.32929353912671405\n",
            "Epoch:4891, gen_loss: 2.2730013529459634\n",
            "Batch:3\n",
            "d_loss :  0.3359734117984772\n",
            "g_loss: 2.3425002098083496\n",
            "Epoch:4891, dis_loss:0.33096350729465485\n",
            "Epoch:4891, gen_loss: 2.29037606716156\n",
            "--------------------------\n",
            "Epoch is 4892\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.337432324886322\n",
            "g_loss: 2.075282573699951\n",
            "Epoch:4892, dis_loss:0.337432324886322\n",
            "Epoch:4892, gen_loss: 2.075282573699951\n",
            "Batch:1\n",
            "d_loss :  0.33213305473327637\n",
            "g_loss: 2.7115135192871094\n",
            "Epoch:4892, dis_loss:0.3347826898097992\n",
            "Epoch:4892, gen_loss: 2.3933980464935303\n",
            "Batch:2\n",
            "d_loss :  0.351442888379097\n",
            "g_loss: 2.092940092086792\n",
            "Epoch:4892, dis_loss:0.34033608933289844\n",
            "Epoch:4892, gen_loss: 2.2932453950246177\n",
            "Batch:3\n",
            "d_loss :  0.3454625755548477\n",
            "g_loss: 2.378807544708252\n",
            "Epoch:4892, dis_loss:0.3416177108883858\n",
            "Epoch:4892, gen_loss: 2.314635932445526\n",
            "--------------------------\n",
            "Epoch is 4893\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33654332160949707\n",
            "g_loss: 2.2934060096740723\n",
            "Epoch:4893, dis_loss:0.33654332160949707\n",
            "Epoch:4893, gen_loss: 2.2934060096740723\n",
            "Batch:1\n",
            "d_loss :  0.3535921573638916\n",
            "g_loss: 1.7955129146575928\n",
            "Epoch:4893, dis_loss:0.34506773948669434\n",
            "Epoch:4893, gen_loss: 2.0444594621658325\n",
            "Batch:2\n",
            "d_loss :  0.33328768610954285\n",
            "g_loss: 2.547321319580078\n",
            "Epoch:4893, dis_loss:0.34114105502764386\n",
            "Epoch:4893, gen_loss: 2.2120800813039145\n",
            "Batch:3\n",
            "d_loss :  0.35450413823127747\n",
            "g_loss: 2.091042995452881\n",
            "Epoch:4893, dis_loss:0.34448182582855225\n",
            "Epoch:4893, gen_loss: 2.181820809841156\n",
            "--------------------------\n",
            "Epoch is 4894\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35376423597335815\n",
            "g_loss: 2.475813627243042\n",
            "Epoch:4894, dis_loss:0.35376423597335815\n",
            "Epoch:4894, gen_loss: 2.475813627243042\n",
            "Batch:1\n",
            "d_loss :  0.3581869602203369\n",
            "g_loss: 2.044865608215332\n",
            "Epoch:4894, dis_loss:0.35597559809684753\n",
            "Epoch:4894, gen_loss: 2.260339617729187\n",
            "Batch:2\n",
            "d_loss :  0.32310691475868225\n",
            "g_loss: 2.032939910888672\n",
            "Epoch:4894, dis_loss:0.3450193703174591\n",
            "Epoch:4894, gen_loss: 2.184539715449015\n",
            "Batch:3\n",
            "d_loss :  0.340400293469429\n",
            "g_loss: 2.404366970062256\n",
            "Epoch:4894, dis_loss:0.3438646011054516\n",
            "Epoch:4894, gen_loss: 2.2394965291023254\n",
            "--------------------------\n",
            "Epoch is 4895\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3350427746772766\n",
            "g_loss: 2.1500751972198486\n",
            "Epoch:4895, dis_loss:0.3350427746772766\n",
            "Epoch:4895, gen_loss: 2.1500751972198486\n",
            "Batch:1\n",
            "d_loss :  0.3206653892993927\n",
            "g_loss: 2.1271767616271973\n",
            "Epoch:4895, dis_loss:0.32785408198833466\n",
            "Epoch:4895, gen_loss: 2.138625979423523\n",
            "Batch:2\n",
            "d_loss :  0.3339944928884506\n",
            "g_loss: 2.565859794616699\n",
            "Epoch:4895, dis_loss:0.32990088562170666\n",
            "Epoch:4895, gen_loss: 2.2810372511545816\n",
            "Batch:3\n",
            "d_loss :  0.34675756096839905\n",
            "g_loss: 1.9461631774902344\n",
            "Epoch:4895, dis_loss:0.33411505445837975\n",
            "Epoch:4895, gen_loss: 2.197318732738495\n",
            "--------------------------\n",
            "Epoch is 4896\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34907062351703644\n",
            "g_loss: 2.300658702850342\n",
            "Epoch:4896, dis_loss:0.34907062351703644\n",
            "Epoch:4896, gen_loss: 2.300658702850342\n",
            "Batch:1\n",
            "d_loss :  0.33687418699264526\n",
            "g_loss: 2.356969118118286\n",
            "Epoch:4896, dis_loss:0.34297240525484085\n",
            "Epoch:4896, gen_loss: 2.328813910484314\n",
            "Batch:2\n",
            "d_loss :  0.3466126024723053\n",
            "g_loss: 2.2044739723205566\n",
            "Epoch:4896, dis_loss:0.344185804327329\n",
            "Epoch:4896, gen_loss: 2.287367264429728\n",
            "Batch:3\n",
            "d_loss :  0.33036722242832184\n",
            "g_loss: 2.218414306640625\n",
            "Epoch:4896, dis_loss:0.3407311588525772\n",
            "Epoch:4896, gen_loss: 2.2701290249824524\n",
            "--------------------------\n",
            "Epoch is 4897\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3514305502176285\n",
            "g_loss: 2.0575578212738037\n",
            "Epoch:4897, dis_loss:0.3514305502176285\n",
            "Epoch:4897, gen_loss: 2.0575578212738037\n",
            "Batch:1\n",
            "d_loss :  0.32755857706069946\n",
            "g_loss: 2.419172763824463\n",
            "Epoch:4897, dis_loss:0.33949456363916397\n",
            "Epoch:4897, gen_loss: 2.2383652925491333\n",
            "Batch:2\n",
            "d_loss :  0.3403451144695282\n",
            "g_loss: 2.0754315853118896\n",
            "Epoch:4897, dis_loss:0.3397780805826187\n",
            "Epoch:4897, gen_loss: 2.1840540568033853\n",
            "Batch:3\n",
            "d_loss :  0.343453973531723\n",
            "g_loss: 2.557219982147217\n",
            "Epoch:4897, dis_loss:0.3406970538198948\n",
            "Epoch:4897, gen_loss: 2.2773455381393433\n",
            "--------------------------\n",
            "Epoch is 4898\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34475044906139374\n",
            "g_loss: 2.139641284942627\n",
            "Epoch:4898, dis_loss:0.34475044906139374\n",
            "Epoch:4898, gen_loss: 2.139641284942627\n",
            "Batch:1\n",
            "d_loss :  0.3201923370361328\n",
            "g_loss: 2.2586116790771484\n",
            "Epoch:4898, dis_loss:0.3324713930487633\n",
            "Epoch:4898, gen_loss: 2.1991264820098877\n",
            "Batch:2\n",
            "d_loss :  0.3506055921316147\n",
            "g_loss: 2.2907142639160156\n",
            "Epoch:4898, dis_loss:0.33851612607638043\n",
            "Epoch:4898, gen_loss: 2.2296557426452637\n",
            "Batch:3\n",
            "d_loss :  0.3371177166700363\n",
            "g_loss: 2.0438437461853027\n",
            "Epoch:4898, dis_loss:0.3381665237247944\n",
            "Epoch:4898, gen_loss: 2.1832027435302734\n",
            "--------------------------\n",
            "Epoch is 4899\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3535090982913971\n",
            "g_loss: 3.015160322189331\n",
            "Epoch:4899, dis_loss:0.3535090982913971\n",
            "Epoch:4899, gen_loss: 3.015160322189331\n",
            "Batch:1\n",
            "d_loss :  0.37060242891311646\n",
            "g_loss: 2.22430419921875\n",
            "Epoch:4899, dis_loss:0.3620557636022568\n",
            "Epoch:4899, gen_loss: 2.6197322607040405\n",
            "Batch:2\n",
            "d_loss :  0.32040075957775116\n",
            "g_loss: 2.3823556900024414\n",
            "Epoch:4899, dis_loss:0.3481707622607549\n",
            "Epoch:4899, gen_loss: 2.540606737136841\n",
            "Batch:3\n",
            "d_loss :  0.3426666706800461\n",
            "g_loss: 2.053690195083618\n",
            "Epoch:4899, dis_loss:0.3467947393655777\n",
            "Epoch:4899, gen_loss: 2.418877601623535\n",
            "--------------------------\n",
            "Epoch is 4900\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3387855291366577\n",
            "g_loss: 2.2615084648132324\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Epoch:4900, dis_loss:0.3387855291366577\n",
            "Epoch:4900, gen_loss: 2.2615084648132324\n",
            "Batch:1\n",
            "d_loss :  0.3340061902999878\n",
            "g_loss: 2.284224510192871\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Epoch:4900, dis_loss:0.33639585971832275\n",
            "Epoch:4900, gen_loss: 2.2728664875030518\n",
            "Batch:2\n",
            "d_loss :  0.3395773619413376\n",
            "g_loss: 2.397616386413574\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Epoch:4900, dis_loss:0.3374563604593277\n",
            "Epoch:4900, gen_loss: 2.3144497871398926\n",
            "Batch:3\n",
            "d_loss :  0.3435474634170532\n",
            "g_loss: 2.134589195251465\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
            "Epoch:4900, dis_loss:0.3389791361987591\n",
            "Epoch:4900, gen_loss: 2.2694846391677856\n",
            "--------------------------\n",
            "Epoch is 4901\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33317962288856506\n",
            "g_loss: 2.344967842102051\n",
            "Epoch:4901, dis_loss:0.33317962288856506\n",
            "Epoch:4901, gen_loss: 2.344967842102051\n",
            "Batch:1\n",
            "d_loss :  0.3355235308408737\n",
            "g_loss: 2.4036784172058105\n",
            "Epoch:4901, dis_loss:0.3343515768647194\n",
            "Epoch:4901, gen_loss: 2.3743231296539307\n",
            "Batch:2\n",
            "d_loss :  0.3346075713634491\n",
            "g_loss: 2.0413293838500977\n",
            "Epoch:4901, dis_loss:0.33443690836429596\n",
            "Epoch:4901, gen_loss: 2.2633252143859863\n",
            "Batch:3\n",
            "d_loss :  0.33958591520786285\n",
            "g_loss: 2.107849597930908\n",
            "Epoch:4901, dis_loss:0.3357241600751877\n",
            "Epoch:4901, gen_loss: 2.224456310272217\n",
            "--------------------------\n",
            "Epoch is 4902\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33832184970378876\n",
            "g_loss: 2.6548285484313965\n",
            "Epoch:4902, dis_loss:0.33832184970378876\n",
            "Epoch:4902, gen_loss: 2.6548285484313965\n",
            "Batch:1\n",
            "d_loss :  0.3518459349870682\n",
            "g_loss: 2.2413384914398193\n",
            "Epoch:4902, dis_loss:0.34508389234542847\n",
            "Epoch:4902, gen_loss: 2.448083519935608\n",
            "Batch:2\n",
            "d_loss :  0.33025239408016205\n",
            "g_loss: 2.20697021484375\n",
            "Epoch:4902, dis_loss:0.34014005959033966\n",
            "Epoch:4902, gen_loss: 2.367712418238322\n",
            "Batch:3\n",
            "d_loss :  0.3290379047393799\n",
            "g_loss: 2.050295114517212\n",
            "Epoch:4902, dis_loss:0.3373645208775997\n",
            "Epoch:4902, gen_loss: 2.2883580923080444\n",
            "--------------------------\n",
            "Epoch is 4903\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3531370162963867\n",
            "g_loss: 2.3498830795288086\n",
            "Epoch:4903, dis_loss:0.3531370162963867\n",
            "Epoch:4903, gen_loss: 2.3498830795288086\n",
            "Batch:1\n",
            "d_loss :  0.33746059238910675\n",
            "g_loss: 2.1651227474212646\n",
            "Epoch:4903, dis_loss:0.34529880434274673\n",
            "Epoch:4903, gen_loss: 2.2575029134750366\n",
            "Batch:2\n",
            "d_loss :  0.3423176258802414\n",
            "g_loss: 2.2917494773864746\n",
            "Epoch:4903, dis_loss:0.3443050781885783\n",
            "Epoch:4903, gen_loss: 2.268918434778849\n",
            "Batch:3\n",
            "d_loss :  0.3461933434009552\n",
            "g_loss: 2.4022927284240723\n",
            "Epoch:4903, dis_loss:0.3447771444916725\n",
            "Epoch:4903, gen_loss: 2.302262008190155\n",
            "--------------------------\n",
            "Epoch is 4904\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3447047919034958\n",
            "g_loss: 2.351900100708008\n",
            "Epoch:4904, dis_loss:0.3447047919034958\n",
            "Epoch:4904, gen_loss: 2.351900100708008\n",
            "Batch:1\n",
            "d_loss :  0.35265789926052094\n",
            "g_loss: 2.0291855335235596\n",
            "Epoch:4904, dis_loss:0.34868134558200836\n",
            "Epoch:4904, gen_loss: 2.1905428171157837\n",
            "Batch:2\n",
            "d_loss :  0.33951953053474426\n",
            "g_loss: 2.3368611335754395\n",
            "Epoch:4904, dis_loss:0.34562740723292035\n",
            "Epoch:4904, gen_loss: 2.2393155892690024\n",
            "Batch:3\n",
            "d_loss :  0.3381044417619705\n",
            "g_loss: 1.87131929397583\n",
            "Epoch:4904, dis_loss:0.3437466658651829\n",
            "Epoch:4904, gen_loss: 2.1473165154457092\n",
            "--------------------------\n",
            "Epoch is 4905\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3352714031934738\n",
            "g_loss: 2.6974966526031494\n",
            "Epoch:4905, dis_loss:0.3352714031934738\n",
            "Epoch:4905, gen_loss: 2.6974966526031494\n",
            "Batch:1\n",
            "d_loss :  0.34226424992084503\n",
            "g_loss: 2.1828484535217285\n",
            "Epoch:4905, dis_loss:0.3387678265571594\n",
            "Epoch:4905, gen_loss: 2.440172553062439\n",
            "Batch:2\n",
            "d_loss :  0.32433226704597473\n",
            "g_loss: 2.34956693649292\n",
            "Epoch:4905, dis_loss:0.3339559733867645\n",
            "Epoch:4905, gen_loss: 2.409970680872599\n",
            "Batch:3\n",
            "d_loss :  0.33306537568569183\n",
            "g_loss: 2.4183521270751953\n",
            "Epoch:4905, dis_loss:0.33373332396149635\n",
            "Epoch:4905, gen_loss: 2.4120660424232483\n",
            "--------------------------\n",
            "Epoch is 4906\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3570220172405243\n",
            "g_loss: 2.0360283851623535\n",
            "Epoch:4906, dis_loss:0.3570220172405243\n",
            "Epoch:4906, gen_loss: 2.0360283851623535\n",
            "Batch:1\n",
            "d_loss :  0.34429584443569183\n",
            "g_loss: 2.446361541748047\n",
            "Epoch:4906, dis_loss:0.35065893083810806\n",
            "Epoch:4906, gen_loss: 2.2411949634552\n",
            "Batch:2\n",
            "d_loss :  0.3472311198711395\n",
            "g_loss: 1.9984885454177856\n",
            "Epoch:4906, dis_loss:0.3495163271824519\n",
            "Epoch:4906, gen_loss: 2.1602928241093955\n",
            "Batch:3\n",
            "d_loss :  0.33901283144950867\n",
            "g_loss: 2.513601779937744\n",
            "Epoch:4906, dis_loss:0.3468904532492161\n",
            "Epoch:4906, gen_loss: 2.2486200630664825\n",
            "--------------------------\n",
            "Epoch is 4907\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3528171181678772\n",
            "g_loss: 2.112571954727173\n",
            "Epoch:4907, dis_loss:0.3528171181678772\n",
            "Epoch:4907, gen_loss: 2.112571954727173\n",
            "Batch:1\n",
            "d_loss :  0.3342076390981674\n",
            "g_loss: 2.23465633392334\n",
            "Epoch:4907, dis_loss:0.3435123786330223\n",
            "Epoch:4907, gen_loss: 2.1736141443252563\n",
            "Batch:2\n",
            "d_loss :  0.3355426639318466\n",
            "g_loss: 2.3646187782287598\n",
            "Epoch:4907, dis_loss:0.34085580706596375\n",
            "Epoch:4907, gen_loss: 2.2372823556264243\n",
            "Batch:3\n",
            "d_loss :  0.3479687422513962\n",
            "g_loss: 2.0470030307769775\n",
            "Epoch:4907, dis_loss:0.34263404086232185\n",
            "Epoch:4907, gen_loss: 2.1897125244140625\n",
            "--------------------------\n",
            "Epoch is 4908\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33577990531921387\n",
            "g_loss: 2.198869466781616\n",
            "Epoch:4908, dis_loss:0.33577990531921387\n",
            "Epoch:4908, gen_loss: 2.198869466781616\n",
            "Batch:1\n",
            "d_loss :  0.32918956875801086\n",
            "g_loss: 2.4195075035095215\n",
            "Epoch:4908, dis_loss:0.33248473703861237\n",
            "Epoch:4908, gen_loss: 2.309188485145569\n",
            "Batch:2\n",
            "d_loss :  0.33974848687648773\n",
            "g_loss: 1.9481384754180908\n",
            "Epoch:4908, dis_loss:0.3349059869845708\n",
            "Epoch:4908, gen_loss: 2.188838481903076\n",
            "Batch:3\n",
            "d_loss :  0.3339869976043701\n",
            "g_loss: 2.1966395378112793\n",
            "Epoch:4908, dis_loss:0.33467623963952065\n",
            "Epoch:4908, gen_loss: 2.190788745880127\n",
            "--------------------------\n",
            "Epoch is 4909\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34289923310279846\n",
            "g_loss: 2.395505905151367\n",
            "Epoch:4909, dis_loss:0.34289923310279846\n",
            "Epoch:4909, gen_loss: 2.395505905151367\n",
            "Batch:1\n",
            "d_loss :  0.344996839761734\n",
            "g_loss: 2.036853790283203\n",
            "Epoch:4909, dis_loss:0.34394803643226624\n",
            "Epoch:4909, gen_loss: 2.216179847717285\n",
            "Batch:2\n",
            "d_loss :  0.34046413004398346\n",
            "g_loss: 2.232252597808838\n",
            "Epoch:4909, dis_loss:0.3427867343028386\n",
            "Epoch:4909, gen_loss: 2.221537431081136\n",
            "Batch:3\n",
            "d_loss :  0.3466816693544388\n",
            "g_loss: 2.2933871746063232\n",
            "Epoch:4909, dis_loss:0.3437604680657387\n",
            "Epoch:4909, gen_loss: 2.239499866962433\n",
            "--------------------------\n",
            "Epoch is 4910\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3379232883453369\n",
            "g_loss: 2.7188668251037598\n",
            "Epoch:4910, dis_loss:0.3379232883453369\n",
            "Epoch:4910, gen_loss: 2.7188668251037598\n",
            "Batch:1\n",
            "d_loss :  0.3335515260696411\n",
            "g_loss: 2.480414867401123\n",
            "Epoch:4910, dis_loss:0.335737407207489\n",
            "Epoch:4910, gen_loss: 2.5996408462524414\n",
            "Batch:2\n",
            "d_loss :  0.342663437128067\n",
            "g_loss: 2.3284780979156494\n",
            "Epoch:4910, dis_loss:0.3380460838476817\n",
            "Epoch:4910, gen_loss: 2.5092532634735107\n",
            "Batch:3\n",
            "d_loss :  0.34614230692386627\n",
            "g_loss: 2.186858654022217\n",
            "Epoch:4910, dis_loss:0.34007013961672783\n",
            "Epoch:4910, gen_loss: 2.4286546111106873\n",
            "--------------------------\n",
            "Epoch is 4911\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34124134480953217\n",
            "g_loss: 2.083510398864746\n",
            "Epoch:4911, dis_loss:0.34124134480953217\n",
            "Epoch:4911, gen_loss: 2.083510398864746\n",
            "Batch:1\n",
            "d_loss :  0.32356129586696625\n",
            "g_loss: 1.9313271045684814\n",
            "Epoch:4911, dis_loss:0.3324013203382492\n",
            "Epoch:4911, gen_loss: 2.0074187517166138\n",
            "Batch:2\n",
            "d_loss :  0.3644911050796509\n",
            "g_loss: 2.966930627822876\n",
            "Epoch:4911, dis_loss:0.34309791525204975\n",
            "Epoch:4911, gen_loss: 2.3272560437520347\n",
            "Batch:3\n",
            "d_loss :  0.3823729604482651\n",
            "g_loss: 1.8849743604660034\n",
            "Epoch:4911, dis_loss:0.3529166765511036\n",
            "Epoch:4911, gen_loss: 2.2166856229305267\n",
            "--------------------------\n",
            "Epoch is 4912\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35691724717617035\n",
            "g_loss: 2.4500832557678223\n",
            "Epoch:4912, dis_loss:0.35691724717617035\n",
            "Epoch:4912, gen_loss: 2.4500832557678223\n",
            "Batch:1\n",
            "d_loss :  0.33081845939159393\n",
            "g_loss: 2.372042179107666\n",
            "Epoch:4912, dis_loss:0.34386785328388214\n",
            "Epoch:4912, gen_loss: 2.411062717437744\n",
            "Batch:2\n",
            "d_loss :  0.3518681228160858\n",
            "g_loss: 1.997039556503296\n",
            "Epoch:4912, dis_loss:0.3465346097946167\n",
            "Epoch:4912, gen_loss: 2.2730549971262612\n",
            "Batch:3\n",
            "d_loss :  0.3243398070335388\n",
            "g_loss: 2.396409273147583\n",
            "Epoch:4912, dis_loss:0.34098590910434723\n",
            "Epoch:4912, gen_loss: 2.303893566131592\n",
            "--------------------------\n",
            "Epoch is 4913\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3365713506937027\n",
            "g_loss: 2.0637612342834473\n",
            "Epoch:4913, dis_loss:0.3365713506937027\n",
            "Epoch:4913, gen_loss: 2.0637612342834473\n",
            "Batch:1\n",
            "d_loss :  0.3156801164150238\n",
            "g_loss: 2.598784923553467\n",
            "Epoch:4913, dis_loss:0.32612573355436325\n",
            "Epoch:4913, gen_loss: 2.331273078918457\n",
            "Batch:2\n",
            "d_loss :  0.32977724075317383\n",
            "g_loss: 2.1263694763183594\n",
            "Epoch:4913, dis_loss:0.3273429026206334\n",
            "Epoch:4913, gen_loss: 2.262971878051758\n",
            "Batch:3\n",
            "d_loss :  0.34289318323135376\n",
            "g_loss: 2.291738271713257\n",
            "Epoch:4913, dis_loss:0.3312304727733135\n",
            "Epoch:4913, gen_loss: 2.2701634764671326\n",
            "--------------------------\n",
            "Epoch is 4914\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34331516921520233\n",
            "g_loss: 2.1074259281158447\n",
            "Epoch:4914, dis_loss:0.34331516921520233\n",
            "Epoch:4914, gen_loss: 2.1074259281158447\n",
            "Batch:1\n",
            "d_loss :  0.3350968211889267\n",
            "g_loss: 2.3208088874816895\n",
            "Epoch:4914, dis_loss:0.3392059952020645\n",
            "Epoch:4914, gen_loss: 2.214117407798767\n",
            "Batch:2\n",
            "d_loss :  0.3377576172351837\n",
            "g_loss: 2.1701717376708984\n",
            "Epoch:4914, dis_loss:0.33872320254643756\n",
            "Epoch:4914, gen_loss: 2.1994688510894775\n",
            "Batch:3\n",
            "d_loss :  0.34174075722694397\n",
            "g_loss: 2.071910858154297\n",
            "Epoch:4914, dis_loss:0.3394775912165642\n",
            "Epoch:4914, gen_loss: 2.1675793528556824\n",
            "--------------------------\n",
            "Epoch is 4915\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.32997845113277435\n",
            "g_loss: 2.253169059753418\n",
            "Epoch:4915, dis_loss:0.32997845113277435\n",
            "Epoch:4915, gen_loss: 2.253169059753418\n",
            "Batch:1\n",
            "d_loss :  0.3416198492050171\n",
            "g_loss: 2.193650245666504\n",
            "Epoch:4915, dis_loss:0.3357991501688957\n",
            "Epoch:4915, gen_loss: 2.223409652709961\n",
            "Batch:2\n",
            "d_loss :  0.330240860581398\n",
            "g_loss: 2.4826903343200684\n",
            "Epoch:4915, dis_loss:0.33394638697306317\n",
            "Epoch:4915, gen_loss: 2.3098365465799966\n",
            "Batch:3\n",
            "d_loss :  0.34420400857925415\n",
            "g_loss: 2.124323844909668\n",
            "Epoch:4915, dis_loss:0.3365107923746109\n",
            "Epoch:4915, gen_loss: 2.2634583711624146\n",
            "--------------------------\n",
            "Epoch is 4916\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3533927649259567\n",
            "g_loss: 2.4642417430877686\n",
            "Epoch:4916, dis_loss:0.3533927649259567\n",
            "Epoch:4916, gen_loss: 2.4642417430877686\n",
            "Batch:1\n",
            "d_loss :  0.3510284423828125\n",
            "g_loss: 2.0727736949920654\n",
            "Epoch:4916, dis_loss:0.3522106036543846\n",
            "Epoch:4916, gen_loss: 2.268507719039917\n",
            "Batch:2\n",
            "d_loss :  0.34563860297203064\n",
            "g_loss: 2.532198190689087\n",
            "Epoch:4916, dis_loss:0.3500199367602666\n",
            "Epoch:4916, gen_loss: 2.3564045429229736\n",
            "Batch:3\n",
            "d_loss :  0.3446606993675232\n",
            "g_loss: 2.082777500152588\n",
            "Epoch:4916, dis_loss:0.34868012741208076\n",
            "Epoch:4916, gen_loss: 2.287997782230377\n",
            "--------------------------\n",
            "Epoch is 4917\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3420068919658661\n",
            "g_loss: 2.333799362182617\n",
            "Epoch:4917, dis_loss:0.3420068919658661\n",
            "Epoch:4917, gen_loss: 2.333799362182617\n",
            "Batch:1\n",
            "d_loss :  0.33882103860378265\n",
            "g_loss: 2.1561591625213623\n",
            "Epoch:4917, dis_loss:0.34041396528482437\n",
            "Epoch:4917, gen_loss: 2.2449792623519897\n",
            "Batch:2\n",
            "d_loss :  0.33068788051605225\n",
            "g_loss: 2.0838723182678223\n",
            "Epoch:4917, dis_loss:0.337171937028567\n",
            "Epoch:4917, gen_loss: 2.191276947657267\n",
            "Batch:3\n",
            "d_loss :  0.3365735113620758\n",
            "g_loss: 2.1626768112182617\n",
            "Epoch:4917, dis_loss:0.3370223306119442\n",
            "Epoch:4917, gen_loss: 2.184126913547516\n",
            "--------------------------\n",
            "Epoch is 4918\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34027865529060364\n",
            "g_loss: 2.2434730529785156\n",
            "Epoch:4918, dis_loss:0.34027865529060364\n",
            "Epoch:4918, gen_loss: 2.2434730529785156\n",
            "Batch:1\n",
            "d_loss :  0.3476043790578842\n",
            "g_loss: 2.35463547706604\n",
            "Epoch:4918, dis_loss:0.3439415171742439\n",
            "Epoch:4918, gen_loss: 2.299054265022278\n",
            "Batch:2\n",
            "d_loss :  0.3474660813808441\n",
            "g_loss: 2.1241562366485596\n",
            "Epoch:4918, dis_loss:0.34511637190977734\n",
            "Epoch:4918, gen_loss: 2.2407549222310386\n",
            "Batch:3\n",
            "d_loss :  0.33378487825393677\n",
            "g_loss: 2.040019989013672\n",
            "Epoch:4918, dis_loss:0.3422834984958172\n",
            "Epoch:4918, gen_loss: 2.1905711889266968\n",
            "--------------------------\n",
            "Epoch is 4919\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3420887738466263\n",
            "g_loss: 2.9608922004699707\n",
            "Epoch:4919, dis_loss:0.3420887738466263\n",
            "Epoch:4919, gen_loss: 2.9608922004699707\n",
            "Batch:1\n",
            "d_loss :  0.3565576672554016\n",
            "g_loss: 1.9201416969299316\n",
            "Epoch:4919, dis_loss:0.34932322055101395\n",
            "Epoch:4919, gen_loss: 2.440516948699951\n",
            "Batch:2\n",
            "d_loss :  0.3543943613767624\n",
            "g_loss: 2.304051160812378\n",
            "Epoch:4919, dis_loss:0.3510136008262634\n",
            "Epoch:4919, gen_loss: 2.3950283527374268\n",
            "Batch:3\n",
            "d_loss :  0.34108902513980865\n",
            "g_loss: 2.473289966583252\n",
            "Epoch:4919, dis_loss:0.34853245690464973\n",
            "Epoch:4919, gen_loss: 2.414593756198883\n",
            "--------------------------\n",
            "Epoch is 4920\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33969563245773315\n",
            "g_loss: 2.365602493286133\n",
            "Epoch:4920, dis_loss:0.33969563245773315\n",
            "Epoch:4920, gen_loss: 2.365602493286133\n",
            "Batch:1\n",
            "d_loss :  0.35118721425533295\n",
            "g_loss: 1.992195963859558\n",
            "Epoch:4920, dis_loss:0.34544142335653305\n",
            "Epoch:4920, gen_loss: 2.1788992285728455\n",
            "Batch:2\n",
            "d_loss :  0.3468335419893265\n",
            "g_loss: 2.218336343765259\n",
            "Epoch:4920, dis_loss:0.34590546290079754\n",
            "Epoch:4920, gen_loss: 2.1920449336369834\n",
            "Batch:3\n",
            "d_loss :  0.3438045084476471\n",
            "g_loss: 2.065692186355591\n",
            "Epoch:4920, dis_loss:0.3453802242875099\n",
            "Epoch:4920, gen_loss: 2.160456746816635\n",
            "--------------------------\n",
            "Epoch is 4921\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3587181568145752\n",
            "g_loss: 2.609527587890625\n",
            "Epoch:4921, dis_loss:0.3587181568145752\n",
            "Epoch:4921, gen_loss: 2.609527587890625\n",
            "Batch:1\n",
            "d_loss :  0.36196471750736237\n",
            "g_loss: 2.113034248352051\n",
            "Epoch:4921, dis_loss:0.3603414371609688\n",
            "Epoch:4921, gen_loss: 2.361280918121338\n",
            "Batch:2\n",
            "d_loss :  0.3343634158372879\n",
            "g_loss: 2.4282772541046143\n",
            "Epoch:4921, dis_loss:0.3516820967197418\n",
            "Epoch:4921, gen_loss: 2.383613030115763\n",
            "Batch:3\n",
            "d_loss :  0.33613377809524536\n",
            "g_loss: 2.2463924884796143\n",
            "Epoch:4921, dis_loss:0.3477950170636177\n",
            "Epoch:4921, gen_loss: 2.349307894706726\n",
            "--------------------------\n",
            "Epoch is 4922\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3566502183675766\n",
            "g_loss: 1.910317063331604\n",
            "Epoch:4922, dis_loss:0.3566502183675766\n",
            "Epoch:4922, gen_loss: 1.910317063331604\n",
            "Batch:1\n",
            "d_loss :  0.32049694657325745\n",
            "g_loss: 2.0619349479675293\n",
            "Epoch:4922, dis_loss:0.338573582470417\n",
            "Epoch:4922, gen_loss: 1.9861260056495667\n",
            "Batch:2\n",
            "d_loss :  0.3522488474845886\n",
            "g_loss: 2.2962985038757324\n",
            "Epoch:4922, dis_loss:0.34313200414180756\n",
            "Epoch:4922, gen_loss: 2.089516838391622\n",
            "Batch:3\n",
            "d_loss :  0.3469386249780655\n",
            "g_loss: 2.2388758659362793\n",
            "Epoch:4922, dis_loss:0.34408365935087204\n",
            "Epoch:4922, gen_loss: 2.1268565952777863\n",
            "--------------------------\n",
            "Epoch is 4923\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.344903901219368\n",
            "g_loss: 1.9161627292633057\n",
            "Epoch:4923, dis_loss:0.344903901219368\n",
            "Epoch:4923, gen_loss: 1.9161627292633057\n",
            "Batch:1\n",
            "d_loss :  0.3482244908809662\n",
            "g_loss: 2.48364520072937\n",
            "Epoch:4923, dis_loss:0.3465641960501671\n",
            "Epoch:4923, gen_loss: 2.199903964996338\n",
            "Batch:2\n",
            "d_loss :  0.33379553258419037\n",
            "g_loss: 2.130387306213379\n",
            "Epoch:4923, dis_loss:0.3423079748948415\n",
            "Epoch:4923, gen_loss: 2.176731745402018\n",
            "Batch:3\n",
            "d_loss :  0.32941022515296936\n",
            "g_loss: 2.1327061653137207\n",
            "Epoch:4923, dis_loss:0.3390835374593735\n",
            "Epoch:4923, gen_loss: 2.165725350379944\n",
            "--------------------------\n",
            "Epoch is 4924\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.32365164160728455\n",
            "g_loss: 2.547011375427246\n",
            "Epoch:4924, dis_loss:0.32365164160728455\n",
            "Epoch:4924, gen_loss: 2.547011375427246\n",
            "Batch:1\n",
            "d_loss :  0.3451378494501114\n",
            "g_loss: 2.047572612762451\n",
            "Epoch:4924, dis_loss:0.33439474552869797\n",
            "Epoch:4924, gen_loss: 2.2972919940948486\n",
            "Batch:2\n",
            "d_loss :  0.33687150478363037\n",
            "g_loss: 2.2016243934631348\n",
            "Epoch:4924, dis_loss:0.3352203319470088\n",
            "Epoch:4924, gen_loss: 2.2654027938842773\n",
            "Batch:3\n",
            "d_loss :  0.3408593684434891\n",
            "g_loss: 2.435469150543213\n",
            "Epoch:4924, dis_loss:0.33663009107112885\n",
            "Epoch:4924, gen_loss: 2.3079193830490112\n",
            "--------------------------\n",
            "Epoch is 4925\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34865225851535797\n",
            "g_loss: 2.15682315826416\n",
            "Epoch:4925, dis_loss:0.34865225851535797\n",
            "Epoch:4925, gen_loss: 2.15682315826416\n",
            "Batch:1\n",
            "d_loss :  0.34234562516212463\n",
            "g_loss: 1.9883155822753906\n",
            "Epoch:4925, dis_loss:0.3454989418387413\n",
            "Epoch:4925, gen_loss: 2.0725693702697754\n",
            "Batch:2\n",
            "d_loss :  0.33842507004737854\n",
            "g_loss: 1.9773361682891846\n",
            "Epoch:4925, dis_loss:0.34314098457495373\n",
            "Epoch:4925, gen_loss: 2.0408249696095786\n",
            "Batch:3\n",
            "d_loss :  0.35755546391010284\n",
            "g_loss: 3.1218059062957764\n",
            "Epoch:4925, dis_loss:0.346744604408741\n",
            "Epoch:4925, gen_loss: 2.311070203781128\n",
            "--------------------------\n",
            "Epoch is 4926\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.39259621500968933\n",
            "g_loss: 1.9889981746673584\n",
            "Epoch:4926, dis_loss:0.39259621500968933\n",
            "Epoch:4926, gen_loss: 1.9889981746673584\n",
            "Batch:1\n",
            "d_loss :  0.3377924859523773\n",
            "g_loss: 2.1219394207000732\n",
            "Epoch:4926, dis_loss:0.3651943504810333\n",
            "Epoch:4926, gen_loss: 2.055468797683716\n",
            "Batch:2\n",
            "d_loss :  0.3371194899082184\n",
            "g_loss: 2.460130453109741\n",
            "Epoch:4926, dis_loss:0.35583606362342834\n",
            "Epoch:4926, gen_loss: 2.1903560161590576\n",
            "Batch:3\n",
            "d_loss :  0.3443983644247055\n",
            "g_loss: 1.9506537914276123\n",
            "Epoch:4926, dis_loss:0.35297663882374763\n",
            "Epoch:4926, gen_loss: 2.1304304599761963\n",
            "--------------------------\n",
            "Epoch is 4927\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3475225865840912\n",
            "g_loss: 2.39517879486084\n",
            "Epoch:4927, dis_loss:0.3475225865840912\n",
            "Epoch:4927, gen_loss: 2.39517879486084\n",
            "Batch:1\n",
            "d_loss :  0.33570297062397003\n",
            "g_loss: 2.4597654342651367\n",
            "Epoch:4927, dis_loss:0.3416127786040306\n",
            "Epoch:4927, gen_loss: 2.4274721145629883\n",
            "Batch:2\n",
            "d_loss :  0.3677494525909424\n",
            "g_loss: 2.1601762771606445\n",
            "Epoch:4927, dis_loss:0.35032500326633453\n",
            "Epoch:4927, gen_loss: 2.3383735020955405\n",
            "Batch:3\n",
            "d_loss :  0.3484717905521393\n",
            "g_loss: 2.1431877613067627\n",
            "Epoch:4927, dis_loss:0.3498617000877857\n",
            "Epoch:4927, gen_loss: 2.289577066898346\n",
            "--------------------------\n",
            "Epoch is 4928\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35093432664871216\n",
            "g_loss: 2.0747358798980713\n",
            "Epoch:4928, dis_loss:0.35093432664871216\n",
            "Epoch:4928, gen_loss: 2.0747358798980713\n",
            "Batch:1\n",
            "d_loss :  0.34198227524757385\n",
            "g_loss: 2.218356132507324\n",
            "Epoch:4928, dis_loss:0.346458300948143\n",
            "Epoch:4928, gen_loss: 2.1465460062026978\n",
            "Batch:2\n",
            "d_loss :  0.34237462282180786\n",
            "g_loss: 2.020914316177368\n",
            "Epoch:4928, dis_loss:0.3450970749060313\n",
            "Epoch:4928, gen_loss: 2.1046687761942544\n",
            "Batch:3\n",
            "d_loss :  0.34658727049827576\n",
            "g_loss: 2.494493007659912\n",
            "Epoch:4928, dis_loss:0.3454696238040924\n",
            "Epoch:4928, gen_loss: 2.202124834060669\n",
            "--------------------------\n",
            "Epoch is 4929\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3479926735162735\n",
            "g_loss: 2.1619014739990234\n",
            "Epoch:4929, dis_loss:0.3479926735162735\n",
            "Epoch:4929, gen_loss: 2.1619014739990234\n",
            "Batch:1\n",
            "d_loss :  0.3198360204696655\n",
            "g_loss: 2.214174747467041\n",
            "Epoch:4929, dis_loss:0.3339143469929695\n",
            "Epoch:4929, gen_loss: 2.1880381107330322\n",
            "Batch:2\n",
            "d_loss :  0.32858996093273163\n",
            "g_loss: 2.1600003242492676\n",
            "Epoch:4929, dis_loss:0.3321395516395569\n",
            "Epoch:4929, gen_loss: 2.178692181905111\n",
            "Batch:3\n",
            "d_loss :  0.3382852375507355\n",
            "g_loss: 2.2399473190307617\n",
            "Epoch:4929, dis_loss:0.33367597311735153\n",
            "Epoch:4929, gen_loss: 2.1940059661865234\n",
            "--------------------------\n",
            "Epoch is 4930\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33578719198703766\n",
            "g_loss: 2.2674965858459473\n",
            "Epoch:4930, dis_loss:0.33578719198703766\n",
            "Epoch:4930, gen_loss: 2.2674965858459473\n",
            "Batch:1\n",
            "d_loss :  0.32925276458263397\n",
            "g_loss: 2.083833694458008\n",
            "Epoch:4930, dis_loss:0.3325199782848358\n",
            "Epoch:4930, gen_loss: 2.1756651401519775\n",
            "Batch:2\n",
            "d_loss :  0.3530023545026779\n",
            "g_loss: 2.3609793186187744\n",
            "Epoch:4930, dis_loss:0.3393474370241165\n",
            "Epoch:4930, gen_loss: 2.237436532974243\n",
            "Batch:3\n",
            "d_loss :  0.33430176973342896\n",
            "g_loss: 2.019183874130249\n",
            "Epoch:4930, dis_loss:0.3380860202014446\n",
            "Epoch:4930, gen_loss: 2.1828733682632446\n",
            "--------------------------\n",
            "Epoch is 4931\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3332117199897766\n",
            "g_loss: 2.1854090690612793\n",
            "Epoch:4931, dis_loss:0.3332117199897766\n",
            "Epoch:4931, gen_loss: 2.1854090690612793\n",
            "Batch:1\n",
            "d_loss :  0.3366961181163788\n",
            "g_loss: 2.3219146728515625\n",
            "Epoch:4931, dis_loss:0.3349539190530777\n",
            "Epoch:4931, gen_loss: 2.253661870956421\n",
            "Batch:2\n",
            "d_loss :  0.3362901955842972\n",
            "g_loss: 2.161801815032959\n",
            "Epoch:4931, dis_loss:0.3353993445634842\n",
            "Epoch:4931, gen_loss: 2.223041852315267\n",
            "Batch:3\n",
            "d_loss :  0.3364717364311218\n",
            "g_loss: 2.0348575115203857\n",
            "Epoch:4931, dis_loss:0.3356674425303936\n",
            "Epoch:4931, gen_loss: 2.1759957671165466\n",
            "--------------------------\n",
            "Epoch is 4932\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3585595488548279\n",
            "g_loss: 2.699822425842285\n",
            "Epoch:4932, dis_loss:0.3585595488548279\n",
            "Epoch:4932, gen_loss: 2.699822425842285\n",
            "Batch:1\n",
            "d_loss :  0.37041135132312775\n",
            "g_loss: 2.317215919494629\n",
            "Epoch:4932, dis_loss:0.3644854500889778\n",
            "Epoch:4932, gen_loss: 2.508519172668457\n",
            "Batch:2\n",
            "d_loss :  0.34393423795700073\n",
            "g_loss: 1.9548487663269043\n",
            "Epoch:4932, dis_loss:0.35763504604498547\n",
            "Epoch:4932, gen_loss: 2.323962370554606\n",
            "Batch:3\n",
            "d_loss :  0.3743430823087692\n",
            "g_loss: 2.936112880706787\n",
            "Epoch:4932, dis_loss:0.3618120551109314\n",
            "Epoch:4932, gen_loss: 2.4769999980926514\n",
            "--------------------------\n",
            "Epoch is 4933\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.38364920020103455\n",
            "g_loss: 2.019998073577881\n",
            "Epoch:4933, dis_loss:0.38364920020103455\n",
            "Epoch:4933, gen_loss: 2.019998073577881\n",
            "Batch:1\n",
            "d_loss :  0.3275536596775055\n",
            "g_loss: 2.0562586784362793\n",
            "Epoch:4933, dis_loss:0.35560142993927\n",
            "Epoch:4933, gen_loss: 2.03812837600708\n",
            "Batch:2\n",
            "d_loss :  0.3350728154182434\n",
            "g_loss: 2.5082991123199463\n",
            "Epoch:4933, dis_loss:0.34875855843226117\n",
            "Epoch:4933, gen_loss: 2.1948519547780356\n",
            "Batch:3\n",
            "d_loss :  0.342090368270874\n",
            "g_loss: 2.095337390899658\n",
            "Epoch:4933, dis_loss:0.34709151089191437\n",
            "Epoch:4933, gen_loss: 2.169973313808441\n",
            "--------------------------\n",
            "Epoch is 4934\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33906257152557373\n",
            "g_loss: 2.2862372398376465\n",
            "Epoch:4934, dis_loss:0.33906257152557373\n",
            "Epoch:4934, gen_loss: 2.2862372398376465\n",
            "Batch:1\n",
            "d_loss :  0.3364286422729492\n",
            "g_loss: 2.3921799659729004\n",
            "Epoch:4934, dis_loss:0.3377456068992615\n",
            "Epoch:4934, gen_loss: 2.3392086029052734\n",
            "Batch:2\n",
            "d_loss :  0.34736332297325134\n",
            "g_loss: 2.203958511352539\n",
            "Epoch:4934, dis_loss:0.3409515122572581\n",
            "Epoch:4934, gen_loss: 2.294125239054362\n",
            "Batch:3\n",
            "d_loss :  0.3469064384698868\n",
            "g_loss: 2.120966911315918\n",
            "Epoch:4934, dis_loss:0.34244024381041527\n",
            "Epoch:4934, gen_loss: 2.250835657119751\n",
            "--------------------------\n",
            "Epoch is 4935\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3384937196969986\n",
            "g_loss: 2.4867756366729736\n",
            "Epoch:4935, dis_loss:0.3384937196969986\n",
            "Epoch:4935, gen_loss: 2.4867756366729736\n",
            "Batch:1\n",
            "d_loss :  0.35410046577453613\n",
            "g_loss: 2.0081846714019775\n",
            "Epoch:4935, dis_loss:0.34629709273576736\n",
            "Epoch:4935, gen_loss: 2.2474801540374756\n",
            "Batch:2\n",
            "d_loss :  0.347838431596756\n",
            "g_loss: 2.1097171306610107\n",
            "Epoch:4935, dis_loss:0.3468108723560969\n",
            "Epoch:4935, gen_loss: 2.201559146245321\n",
            "Batch:3\n",
            "d_loss :  0.3261811137199402\n",
            "g_loss: 2.065502643585205\n",
            "Epoch:4935, dis_loss:0.3416534326970577\n",
            "Epoch:4935, gen_loss: 2.1675450205802917\n",
            "--------------------------\n",
            "Epoch is 4936\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.342348575592041\n",
            "g_loss: 2.613497734069824\n",
            "Epoch:4936, dis_loss:0.342348575592041\n",
            "Epoch:4936, gen_loss: 2.613497734069824\n",
            "Batch:1\n",
            "d_loss :  0.3579994887113571\n",
            "g_loss: 1.9800000190734863\n",
            "Epoch:4936, dis_loss:0.35017403215169907\n",
            "Epoch:4936, gen_loss: 2.2967488765716553\n",
            "Batch:2\n",
            "d_loss :  0.33237285912036896\n",
            "g_loss: 2.277758836746216\n",
            "Epoch:4936, dis_loss:0.34424030780792236\n",
            "Epoch:4936, gen_loss: 2.290418863296509\n",
            "Batch:3\n",
            "d_loss :  0.33837273716926575\n",
            "g_loss: 2.3878841400146484\n",
            "Epoch:4936, dis_loss:0.3427734151482582\n",
            "Epoch:4936, gen_loss: 2.3147851824760437\n",
            "--------------------------\n",
            "Epoch is 4937\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3465448319911957\n",
            "g_loss: 2.225593090057373\n",
            "Epoch:4937, dis_loss:0.3465448319911957\n",
            "Epoch:4937, gen_loss: 2.225593090057373\n",
            "Batch:1\n",
            "d_loss :  0.3350187987089157\n",
            "g_loss: 2.077908754348755\n",
            "Epoch:4937, dis_loss:0.3407818153500557\n",
            "Epoch:4937, gen_loss: 2.151750922203064\n",
            "Batch:2\n",
            "d_loss :  0.35206136107444763\n",
            "g_loss: 2.6807665824890137\n",
            "Epoch:4937, dis_loss:0.344541663924853\n",
            "Epoch:4937, gen_loss: 2.328089475631714\n",
            "Batch:3\n",
            "d_loss :  0.35184331238269806\n",
            "g_loss: 2.05729341506958\n",
            "Epoch:4937, dis_loss:0.34636707603931427\n",
            "Epoch:4937, gen_loss: 2.2603904604911804\n",
            "--------------------------\n",
            "Epoch is 4938\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3492172807455063\n",
            "g_loss: 2.199822187423706\n",
            "Epoch:4938, dis_loss:0.3492172807455063\n",
            "Epoch:4938, gen_loss: 2.199822187423706\n",
            "Batch:1\n",
            "d_loss :  0.33834391832351685\n",
            "g_loss: 2.0778920650482178\n",
            "Epoch:4938, dis_loss:0.34378059953451157\n",
            "Epoch:4938, gen_loss: 2.138857126235962\n",
            "Batch:2\n",
            "d_loss :  0.32816585898399353\n",
            "g_loss: 2.4963531494140625\n",
            "Epoch:4938, dis_loss:0.33857568601767224\n",
            "Epoch:4938, gen_loss: 2.2580224672953286\n",
            "Batch:3\n",
            "d_loss :  0.3367432653903961\n",
            "g_loss: 2.0637497901916504\n",
            "Epoch:4938, dis_loss:0.3381175808608532\n",
            "Epoch:4938, gen_loss: 2.209454298019409\n",
            "--------------------------\n",
            "Epoch is 4939\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3356062322854996\n",
            "g_loss: 2.0640552043914795\n",
            "Epoch:4939, dis_loss:0.3356062322854996\n",
            "Epoch:4939, gen_loss: 2.0640552043914795\n",
            "Batch:1\n",
            "d_loss :  0.33536915481090546\n",
            "g_loss: 2.3474063873291016\n",
            "Epoch:4939, dis_loss:0.3354876935482025\n",
            "Epoch:4939, gen_loss: 2.2057307958602905\n",
            "Batch:2\n",
            "d_loss :  0.3412833511829376\n",
            "g_loss: 2.062572479248047\n",
            "Epoch:4939, dis_loss:0.33741957942644757\n",
            "Epoch:4939, gen_loss: 2.1580113569895425\n",
            "Batch:3\n",
            "d_loss :  0.3334420174360275\n",
            "g_loss: 2.2320632934570312\n",
            "Epoch:4939, dis_loss:0.33642518892884254\n",
            "Epoch:4939, gen_loss: 2.176524341106415\n",
            "--------------------------\n",
            "Epoch is 4940\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3346177488565445\n",
            "g_loss: 2.266937732696533\n",
            "Epoch:4940, dis_loss:0.3346177488565445\n",
            "Epoch:4940, gen_loss: 2.266937732696533\n",
            "Batch:1\n",
            "d_loss :  0.329876571893692\n",
            "g_loss: 2.0523056983947754\n",
            "Epoch:4940, dis_loss:0.33224716037511826\n",
            "Epoch:4940, gen_loss: 2.1596217155456543\n",
            "Batch:2\n",
            "d_loss :  0.33635900914669037\n",
            "g_loss: 2.240802764892578\n",
            "Epoch:4940, dis_loss:0.33361777663230896\n",
            "Epoch:4940, gen_loss: 2.1866820653279624\n",
            "Batch:3\n",
            "d_loss :  0.3509597033262253\n",
            "g_loss: 2.211890459060669\n",
            "Epoch:4940, dis_loss:0.33795325830578804\n",
            "Epoch:4940, gen_loss: 2.192984163761139\n",
            "--------------------------\n",
            "Epoch is 4941\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3457488566637039\n",
            "g_loss: 2.223571300506592\n",
            "Epoch:4941, dis_loss:0.3457488566637039\n",
            "Epoch:4941, gen_loss: 2.223571300506592\n",
            "Batch:1\n",
            "d_loss :  0.32349301874637604\n",
            "g_loss: 2.5359792709350586\n",
            "Epoch:4941, dis_loss:0.33462093770504\n",
            "Epoch:4941, gen_loss: 2.379775285720825\n",
            "Batch:2\n",
            "d_loss :  0.3480183482170105\n",
            "g_loss: 2.0105278491973877\n",
            "Epoch:4941, dis_loss:0.33908674120903015\n",
            "Epoch:4941, gen_loss: 2.256692806879679\n",
            "Batch:3\n",
            "d_loss :  0.32615862786769867\n",
            "g_loss: 2.1603407859802246\n",
            "Epoch:4941, dis_loss:0.3358547128736973\n",
            "Epoch:4941, gen_loss: 2.2326048016548157\n",
            "--------------------------\n",
            "Epoch is 4942\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3519035577774048\n",
            "g_loss: 2.5901081562042236\n",
            "Epoch:4942, dis_loss:0.3519035577774048\n",
            "Epoch:4942, gen_loss: 2.5901081562042236\n",
            "Batch:1\n",
            "d_loss :  0.35966867208480835\n",
            "g_loss: 1.9471840858459473\n",
            "Epoch:4942, dis_loss:0.35578611493110657\n",
            "Epoch:4942, gen_loss: 2.2686461210250854\n",
            "Batch:2\n",
            "d_loss :  0.3522670865058899\n",
            "g_loss: 2.3439135551452637\n",
            "Epoch:4942, dis_loss:0.35461310545603436\n",
            "Epoch:4942, gen_loss: 2.2937352657318115\n",
            "Batch:3\n",
            "d_loss :  0.3334883451461792\n",
            "g_loss: 2.2473084926605225\n",
            "Epoch:4942, dis_loss:0.34933191537857056\n",
            "Epoch:4942, gen_loss: 2.2821285724639893\n",
            "--------------------------\n",
            "Epoch is 4943\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3388916850090027\n",
            "g_loss: 2.125088930130005\n",
            "Epoch:4943, dis_loss:0.3388916850090027\n",
            "Epoch:4943, gen_loss: 2.125088930130005\n",
            "Batch:1\n",
            "d_loss :  0.332029327750206\n",
            "g_loss: 2.599740505218506\n",
            "Epoch:4943, dis_loss:0.33546050637960434\n",
            "Epoch:4943, gen_loss: 2.3624147176742554\n",
            "Batch:2\n",
            "d_loss :  0.34487710893154144\n",
            "g_loss: 2.2329511642456055\n",
            "Epoch:4943, dis_loss:0.3385993738969167\n",
            "Epoch:4943, gen_loss: 2.3192601998647056\n",
            "Batch:3\n",
            "d_loss :  0.3533409535884857\n",
            "g_loss: 2.260068416595459\n",
            "Epoch:4943, dis_loss:0.34228476881980896\n",
            "Epoch:4943, gen_loss: 2.304462254047394\n",
            "--------------------------\n",
            "Epoch is 4944\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34195150434970856\n",
            "g_loss: 2.2263083457946777\n",
            "Epoch:4944, dis_loss:0.34195150434970856\n",
            "Epoch:4944, gen_loss: 2.2263083457946777\n",
            "Batch:1\n",
            "d_loss :  0.3472593128681183\n",
            "g_loss: 1.9123120307922363\n",
            "Epoch:4944, dis_loss:0.3446054086089134\n",
            "Epoch:4944, gen_loss: 2.069310188293457\n",
            "Batch:2\n",
            "d_loss :  0.3338669240474701\n",
            "g_loss: 2.3797929286956787\n",
            "Epoch:4944, dis_loss:0.341025913755099\n",
            "Epoch:4944, gen_loss: 2.1728044350941977\n",
            "Batch:3\n",
            "d_loss :  0.34428679943084717\n",
            "g_loss: 2.2077791690826416\n",
            "Epoch:4944, dis_loss:0.341841135174036\n",
            "Epoch:4944, gen_loss: 2.1815481185913086\n",
            "--------------------------\n",
            "Epoch is 4945\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33141088485717773\n",
            "g_loss: 2.2143120765686035\n",
            "Epoch:4945, dis_loss:0.33141088485717773\n",
            "Epoch:4945, gen_loss: 2.2143120765686035\n",
            "Batch:1\n",
            "d_loss :  0.3417651504278183\n",
            "g_loss: 2.185683250427246\n",
            "Epoch:4945, dis_loss:0.336588017642498\n",
            "Epoch:4945, gen_loss: 2.199997663497925\n",
            "Batch:2\n",
            "d_loss :  0.3306683152914047\n",
            "g_loss: 2.078094959259033\n",
            "Epoch:4945, dis_loss:0.3346147835254669\n",
            "Epoch:4945, gen_loss: 2.1593634287516275\n",
            "Batch:3\n",
            "d_loss :  0.3388913869857788\n",
            "g_loss: 2.6155483722686768\n",
            "Epoch:4945, dis_loss:0.3356839343905449\n",
            "Epoch:4945, gen_loss: 2.27340966463089\n",
            "--------------------------\n",
            "Epoch is 4946\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3418363779783249\n",
            "g_loss: 2.1556224822998047\n",
            "Epoch:4946, dis_loss:0.3418363779783249\n",
            "Epoch:4946, gen_loss: 2.1556224822998047\n",
            "Batch:1\n",
            "d_loss :  0.33808352053165436\n",
            "g_loss: 2.3824119567871094\n",
            "Epoch:4946, dis_loss:0.3399599492549896\n",
            "Epoch:4946, gen_loss: 2.269017219543457\n",
            "Batch:2\n",
            "d_loss :  0.348187193274498\n",
            "g_loss: 1.9957280158996582\n",
            "Epoch:4946, dis_loss:0.34270236392815906\n",
            "Epoch:4946, gen_loss: 2.1779208183288574\n",
            "Batch:3\n",
            "d_loss :  0.3328171968460083\n",
            "g_loss: 2.4823408126831055\n",
            "Epoch:4946, dis_loss:0.3402310721576214\n",
            "Epoch:4946, gen_loss: 2.2540258169174194\n",
            "--------------------------\n",
            "Epoch is 4947\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34079036116600037\n",
            "g_loss: 2.1959424018859863\n",
            "Epoch:4947, dis_loss:0.34079036116600037\n",
            "Epoch:4947, gen_loss: 2.1959424018859863\n",
            "Batch:1\n",
            "d_loss :  0.33870185911655426\n",
            "g_loss: 1.931267499923706\n",
            "Epoch:4947, dis_loss:0.3397461101412773\n",
            "Epoch:4947, gen_loss: 2.063604950904846\n",
            "Batch:2\n",
            "d_loss :  0.35624271631240845\n",
            "g_loss: 2.5111427307128906\n",
            "Epoch:4947, dis_loss:0.3452449788649877\n",
            "Epoch:4947, gen_loss: 2.212784210840861\n",
            "Batch:3\n",
            "d_loss :  0.3470212519168854\n",
            "g_loss: 2.0911247730255127\n",
            "Epoch:4947, dis_loss:0.3456890471279621\n",
            "Epoch:4947, gen_loss: 2.182369351387024\n",
            "--------------------------\n",
            "Epoch is 4948\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33062736690044403\n",
            "g_loss: 2.3803257942199707\n",
            "Epoch:4948, dis_loss:0.33062736690044403\n",
            "Epoch:4948, gen_loss: 2.3803257942199707\n",
            "Batch:1\n",
            "d_loss :  0.33104555308818817\n",
            "g_loss: 2.4452104568481445\n",
            "Epoch:4948, dis_loss:0.3308364599943161\n",
            "Epoch:4948, gen_loss: 2.4127681255340576\n",
            "Batch:2\n",
            "d_loss :  0.34518076479434967\n",
            "g_loss: 2.1678593158721924\n",
            "Epoch:4948, dis_loss:0.33561789492766064\n",
            "Epoch:4948, gen_loss: 2.331131855646769\n",
            "Batch:3\n",
            "d_loss :  0.35058172047138214\n",
            "g_loss: 2.0783145427703857\n",
            "Epoch:4948, dis_loss:0.339358851313591\n",
            "Epoch:4948, gen_loss: 2.2679275274276733\n",
            "--------------------------\n",
            "Epoch is 4949\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3351004868745804\n",
            "g_loss: 2.516055107116699\n",
            "Epoch:4949, dis_loss:0.3351004868745804\n",
            "Epoch:4949, gen_loss: 2.516055107116699\n",
            "Batch:1\n",
            "d_loss :  0.35265910625457764\n",
            "g_loss: 1.957277536392212\n",
            "Epoch:4949, dis_loss:0.343879796564579\n",
            "Epoch:4949, gen_loss: 2.2366663217544556\n",
            "Batch:2\n",
            "d_loss :  0.36416715383529663\n",
            "g_loss: 2.529174327850342\n",
            "Epoch:4949, dis_loss:0.35064224898815155\n",
            "Epoch:4949, gen_loss: 2.3341689904530845\n",
            "Batch:3\n",
            "d_loss :  0.3441374897956848\n",
            "g_loss: 2.304532289505005\n",
            "Epoch:4949, dis_loss:0.34901605919003487\n",
            "Epoch:4949, gen_loss: 2.3267598152160645\n",
            "--------------------------\n",
            "Epoch is 4950\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3518466055393219\n",
            "g_loss: 1.9172648191452026\n",
            "Epoch:4950, dis_loss:0.3518466055393219\n",
            "Epoch:4950, gen_loss: 1.9172648191452026\n",
            "Batch:1\n",
            "d_loss :  0.3266148716211319\n",
            "g_loss: 2.2017180919647217\n",
            "Epoch:4950, dis_loss:0.3392307385802269\n",
            "Epoch:4950, gen_loss: 2.059491455554962\n",
            "Batch:2\n",
            "d_loss :  0.3364965170621872\n",
            "g_loss: 2.3442342281341553\n",
            "Epoch:4950, dis_loss:0.338319331407547\n",
            "Epoch:4950, gen_loss: 2.15440571308136\n",
            "Batch:3\n",
            "d_loss :  0.3439301401376724\n",
            "g_loss: 2.037193775177002\n",
            "Epoch:4950, dis_loss:0.33972203359007835\n",
            "Epoch:4950, gen_loss: 2.1251027286052704\n",
            "--------------------------\n",
            "Epoch is 4951\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34559640288352966\n",
            "g_loss: 2.1340813636779785\n",
            "Epoch:4951, dis_loss:0.34559640288352966\n",
            "Epoch:4951, gen_loss: 2.1340813636779785\n",
            "Batch:1\n",
            "d_loss :  0.33458662033081055\n",
            "g_loss: 2.367098569869995\n",
            "Epoch:4951, dis_loss:0.3400915116071701\n",
            "Epoch:4951, gen_loss: 2.250589966773987\n",
            "Batch:2\n",
            "d_loss :  0.3373529464006424\n",
            "g_loss: 2.3220016956329346\n",
            "Epoch:4951, dis_loss:0.3391786565383275\n",
            "Epoch:4951, gen_loss: 2.274393876393636\n",
            "Batch:3\n",
            "d_loss :  0.3375704884529114\n",
            "g_loss: 1.9488880634307861\n",
            "Epoch:4951, dis_loss:0.3387766145169735\n",
            "Epoch:4951, gen_loss: 2.1930174231529236\n",
            "--------------------------\n",
            "Epoch is 4952\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34719595313072205\n",
            "g_loss: 2.189620018005371\n",
            "Epoch:4952, dis_loss:0.34719595313072205\n",
            "Epoch:4952, gen_loss: 2.189620018005371\n",
            "Batch:1\n",
            "d_loss :  0.337659552693367\n",
            "g_loss: 2.339702844619751\n",
            "Epoch:4952, dis_loss:0.3424277529120445\n",
            "Epoch:4952, gen_loss: 2.264661431312561\n",
            "Batch:2\n",
            "d_loss :  0.34043630957603455\n",
            "g_loss: 2.4762864112854004\n",
            "Epoch:4952, dis_loss:0.3417639384667079\n",
            "Epoch:4952, gen_loss: 2.3352030913035073\n",
            "Batch:3\n",
            "d_loss :  0.3455645740032196\n",
            "g_loss: 2.010192632675171\n",
            "Epoch:4952, dis_loss:0.3427140973508358\n",
            "Epoch:4952, gen_loss: 2.2539504766464233\n",
            "--------------------------\n",
            "Epoch is 4953\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3491256833076477\n",
            "g_loss: 2.1199631690979004\n",
            "Epoch:4953, dis_loss:0.3491256833076477\n",
            "Epoch:4953, gen_loss: 2.1199631690979004\n",
            "Batch:1\n",
            "d_loss :  0.32814133167266846\n",
            "g_loss: 2.504331350326538\n",
            "Epoch:4953, dis_loss:0.3386335074901581\n",
            "Epoch:4953, gen_loss: 2.3121472597122192\n",
            "Batch:2\n",
            "d_loss :  0.3409046232700348\n",
            "g_loss: 2.2381038665771484\n",
            "Epoch:4953, dis_loss:0.3393905460834503\n",
            "Epoch:4953, gen_loss: 2.287466128667196\n",
            "Batch:3\n",
            "d_loss :  0.33290012180805206\n",
            "g_loss: 2.0370423793792725\n",
            "Epoch:4953, dis_loss:0.33776794001460075\n",
            "Epoch:4953, gen_loss: 2.224860191345215\n",
            "--------------------------\n",
            "Epoch is 4954\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33118370175361633\n",
            "g_loss: 2.166686534881592\n",
            "Epoch:4954, dis_loss:0.33118370175361633\n",
            "Epoch:4954, gen_loss: 2.166686534881592\n",
            "Batch:1\n",
            "d_loss :  0.3230917900800705\n",
            "g_loss: 2.48590350151062\n",
            "Epoch:4954, dis_loss:0.3271377459168434\n",
            "Epoch:4954, gen_loss: 2.326295018196106\n",
            "Batch:2\n",
            "d_loss :  0.3392460346221924\n",
            "g_loss: 2.1266233921051025\n",
            "Epoch:4954, dis_loss:0.3311738421519597\n",
            "Epoch:4954, gen_loss: 2.259737809499105\n",
            "Batch:3\n",
            "d_loss :  0.3313876986503601\n",
            "g_loss: 1.9900691509246826\n",
            "Epoch:4954, dis_loss:0.33122730627655983\n",
            "Epoch:4954, gen_loss: 2.1923206448554993\n",
            "--------------------------\n",
            "Epoch is 4955\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35423021018505096\n",
            "g_loss: 2.5352063179016113\n",
            "Epoch:4955, dis_loss:0.35423021018505096\n",
            "Epoch:4955, gen_loss: 2.5352063179016113\n",
            "Batch:1\n",
            "d_loss :  0.3480593264102936\n",
            "g_loss: 2.035360336303711\n",
            "Epoch:4955, dis_loss:0.35114476829767227\n",
            "Epoch:4955, gen_loss: 2.285283327102661\n",
            "Batch:2\n",
            "d_loss :  0.32673847675323486\n",
            "g_loss: 2.1823313236236572\n",
            "Epoch:4955, dis_loss:0.3430093377828598\n",
            "Epoch:4955, gen_loss: 2.2509659926096597\n",
            "Batch:3\n",
            "d_loss :  0.33461853861808777\n",
            "g_loss: 2.456895351409912\n",
            "Epoch:4955, dis_loss:0.3409116379916668\n",
            "Epoch:4955, gen_loss: 2.302448332309723\n",
            "--------------------------\n",
            "Epoch is 4956\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.32491058111190796\n",
            "g_loss: 2.0832719802856445\n",
            "Epoch:4956, dis_loss:0.32491058111190796\n",
            "Epoch:4956, gen_loss: 2.0832719802856445\n",
            "Batch:1\n",
            "d_loss :  0.3444788008928299\n",
            "g_loss: 2.161092519760132\n",
            "Epoch:4956, dis_loss:0.3346946910023689\n",
            "Epoch:4956, gen_loss: 2.122182250022888\n",
            "Batch:2\n",
            "d_loss :  0.3309522122144699\n",
            "g_loss: 2.4376912117004395\n",
            "Epoch:4956, dis_loss:0.3334471980730693\n",
            "Epoch:4956, gen_loss: 2.2273519039154053\n",
            "Batch:3\n",
            "d_loss :  0.33262038230895996\n",
            "g_loss: 2.1428706645965576\n",
            "Epoch:4956, dis_loss:0.33324049413204193\n",
            "Epoch:4956, gen_loss: 2.2062315940856934\n",
            "--------------------------\n",
            "Epoch is 4957\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33893342316150665\n",
            "g_loss: 2.035783529281616\n",
            "Epoch:4957, dis_loss:0.33893342316150665\n",
            "Epoch:4957, gen_loss: 2.035783529281616\n",
            "Batch:1\n",
            "d_loss :  0.3377079963684082\n",
            "g_loss: 2.4665539264678955\n",
            "Epoch:4957, dis_loss:0.33832070976495743\n",
            "Epoch:4957, gen_loss: 2.251168727874756\n",
            "Batch:2\n",
            "d_loss :  0.3459694981575012\n",
            "g_loss: 2.0594723224639893\n",
            "Epoch:4957, dis_loss:0.34087030589580536\n",
            "Epoch:4957, gen_loss: 2.187269926071167\n",
            "Batch:3\n",
            "d_loss :  0.33593034744262695\n",
            "g_loss: 2.2926995754241943\n",
            "Epoch:4957, dis_loss:0.33963531628251076\n",
            "Epoch:4957, gen_loss: 2.213627338409424\n",
            "--------------------------\n",
            "Epoch is 4958\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33627377450466156\n",
            "g_loss: 2.159419298171997\n",
            "Epoch:4958, dis_loss:0.33627377450466156\n",
            "Epoch:4958, gen_loss: 2.159419298171997\n",
            "Batch:1\n",
            "d_loss :  0.34358298778533936\n",
            "g_loss: 2.041848659515381\n",
            "Epoch:4958, dis_loss:0.33992838114500046\n",
            "Epoch:4958, gen_loss: 2.100633978843689\n",
            "Batch:2\n",
            "d_loss :  0.3394536077976227\n",
            "g_loss: 1.9931222200393677\n",
            "Epoch:4958, dis_loss:0.3397701233625412\n",
            "Epoch:4958, gen_loss: 2.064796725908915\n",
            "Batch:3\n",
            "d_loss :  0.34713590145111084\n",
            "g_loss: 2.2435781955718994\n",
            "Epoch:4958, dis_loss:0.3416115678846836\n",
            "Epoch:4958, gen_loss: 2.1094920933246613\n",
            "--------------------------\n",
            "Epoch is 4959\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3429718464612961\n",
            "g_loss: 2.2904467582702637\n",
            "Epoch:4959, dis_loss:0.3429718464612961\n",
            "Epoch:4959, gen_loss: 2.2904467582702637\n",
            "Batch:1\n",
            "d_loss :  0.33104124665260315\n",
            "g_loss: 2.247546434402466\n",
            "Epoch:4959, dis_loss:0.3370065465569496\n",
            "Epoch:4959, gen_loss: 2.2689965963363647\n",
            "Batch:2\n",
            "d_loss :  0.3252260684967041\n",
            "g_loss: 2.4011070728302\n",
            "Epoch:4959, dis_loss:0.3330797205368678\n",
            "Epoch:4959, gen_loss: 2.31303342183431\n",
            "Batch:3\n",
            "d_loss :  0.3454767167568207\n",
            "g_loss: 2.10333251953125\n",
            "Epoch:4959, dis_loss:0.336178969591856\n",
            "Epoch:4959, gen_loss: 2.260608196258545\n",
            "--------------------------\n",
            "Epoch is 4960\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3343493491411209\n",
            "g_loss: 2.4954605102539062\n",
            "Epoch:4960, dis_loss:0.3343493491411209\n",
            "Epoch:4960, gen_loss: 2.4954605102539062\n",
            "Batch:1\n",
            "d_loss :  0.3322083503007889\n",
            "g_loss: 2.2026453018188477\n",
            "Epoch:4960, dis_loss:0.3332788497209549\n",
            "Epoch:4960, gen_loss: 2.349052906036377\n",
            "Batch:2\n",
            "d_loss :  0.3380078375339508\n",
            "g_loss: 2.127048969268799\n",
            "Epoch:4960, dis_loss:0.33485517899195355\n",
            "Epoch:4960, gen_loss: 2.2750515937805176\n",
            "Batch:3\n",
            "d_loss :  0.33339786529541016\n",
            "g_loss: 2.4821934700012207\n",
            "Epoch:4960, dis_loss:0.3344908505678177\n",
            "Epoch:4960, gen_loss: 2.3268370628356934\n",
            "--------------------------\n",
            "Epoch is 4961\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.35365039110183716\n",
            "g_loss: 1.9573469161987305\n",
            "Epoch:4961, dis_loss:0.35365039110183716\n",
            "Epoch:4961, gen_loss: 1.9573469161987305\n",
            "Batch:1\n",
            "d_loss :  0.33133092522621155\n",
            "g_loss: 2.41191029548645\n",
            "Epoch:4961, dis_loss:0.34249065816402435\n",
            "Epoch:4961, gen_loss: 2.1846286058425903\n",
            "Batch:2\n",
            "d_loss :  0.35062673687934875\n",
            "g_loss: 2.11293363571167\n",
            "Epoch:4961, dis_loss:0.3452026844024658\n",
            "Epoch:4961, gen_loss: 2.1607302824656167\n",
            "Batch:3\n",
            "d_loss :  0.33705365657806396\n",
            "g_loss: 2.0788421630859375\n",
            "Epoch:4961, dis_loss:0.34316542744636536\n",
            "Epoch:4961, gen_loss: 2.140258252620697\n",
            "--------------------------\n",
            "Epoch is 4962\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34307414293289185\n",
            "g_loss: 2.116396427154541\n",
            "Epoch:4962, dis_loss:0.34307414293289185\n",
            "Epoch:4962, gen_loss: 2.116396427154541\n",
            "Batch:1\n",
            "d_loss :  0.33460140228271484\n",
            "g_loss: 2.131948947906494\n",
            "Epoch:4962, dis_loss:0.33883777260780334\n",
            "Epoch:4962, gen_loss: 2.1241726875305176\n",
            "Batch:2\n",
            "d_loss :  0.32496753334999084\n",
            "g_loss: 2.0816292762756348\n",
            "Epoch:4962, dis_loss:0.33421435952186584\n",
            "Epoch:4962, gen_loss: 2.1099915504455566\n",
            "Batch:3\n",
            "d_loss :  0.3363429605960846\n",
            "g_loss: 2.3700220584869385\n",
            "Epoch:4962, dis_loss:0.33474650979042053\n",
            "Epoch:4962, gen_loss: 2.174999177455902\n",
            "--------------------------\n",
            "Epoch is 4963\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3577456772327423\n",
            "g_loss: 2.1003928184509277\n",
            "Epoch:4963, dis_loss:0.3577456772327423\n",
            "Epoch:4963, gen_loss: 2.1003928184509277\n",
            "Batch:1\n",
            "d_loss :  0.3388795256614685\n",
            "g_loss: 2.414424419403076\n",
            "Epoch:4963, dis_loss:0.3483126014471054\n",
            "Epoch:4963, gen_loss: 2.257408618927002\n",
            "Batch:2\n",
            "d_loss :  0.3411651998758316\n",
            "g_loss: 2.161456346511841\n",
            "Epoch:4963, dis_loss:0.3459301342566808\n",
            "Epoch:4963, gen_loss: 2.2254245281219482\n",
            "Batch:3\n",
            "d_loss :  0.32716134190559387\n",
            "g_loss: 2.412288188934326\n",
            "Epoch:4963, dis_loss:0.3412379361689091\n",
            "Epoch:4963, gen_loss: 2.2721404433250427\n",
            "--------------------------\n",
            "Epoch is 4964\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3153623342514038\n",
            "g_loss: 2.159341812133789\n",
            "Epoch:4964, dis_loss:0.3153623342514038\n",
            "Epoch:4964, gen_loss: 2.159341812133789\n",
            "Batch:1\n",
            "d_loss :  0.32697173953056335\n",
            "g_loss: 2.3988289833068848\n",
            "Epoch:4964, dis_loss:0.3211670368909836\n",
            "Epoch:4964, gen_loss: 2.279085397720337\n",
            "Batch:2\n",
            "d_loss :  0.33844858407974243\n",
            "g_loss: 2.218158721923828\n",
            "Epoch:4964, dis_loss:0.3269275526205699\n",
            "Epoch:4964, gen_loss: 2.2587765057881675\n",
            "Batch:3\n",
            "d_loss :  0.35013628005981445\n",
            "g_loss: 2.0025484561920166\n",
            "Epoch:4964, dis_loss:0.332729734480381\n",
            "Epoch:4964, gen_loss: 2.1947194933891296\n",
            "--------------------------\n",
            "Epoch is 4965\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3561985194683075\n",
            "g_loss: 2.4078874588012695\n",
            "Epoch:4965, dis_loss:0.3561985194683075\n",
            "Epoch:4965, gen_loss: 2.4078874588012695\n",
            "Batch:1\n",
            "d_loss :  0.33844906091690063\n",
            "g_loss: 2.1742544174194336\n",
            "Epoch:4965, dis_loss:0.34732379019260406\n",
            "Epoch:4965, gen_loss: 2.2910709381103516\n",
            "Batch:2\n",
            "d_loss :  0.3356737941503525\n",
            "g_loss: 2.062683582305908\n",
            "Epoch:4965, dis_loss:0.3434404581785202\n",
            "Epoch:4965, gen_loss: 2.2149418195088706\n",
            "Batch:3\n",
            "d_loss :  0.3413745164871216\n",
            "g_loss: 2.3355183601379395\n",
            "Epoch:4965, dis_loss:0.34292397275567055\n",
            "Epoch:4965, gen_loss: 2.2450859546661377\n",
            "--------------------------\n",
            "Epoch is 4966\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34268003702163696\n",
            "g_loss: 2.0191259384155273\n",
            "Epoch:4966, dis_loss:0.34268003702163696\n",
            "Epoch:4966, gen_loss: 2.0191259384155273\n",
            "Batch:1\n",
            "d_loss :  0.323958158493042\n",
            "g_loss: 2.208322525024414\n",
            "Epoch:4966, dis_loss:0.3333190977573395\n",
            "Epoch:4966, gen_loss: 2.1137242317199707\n",
            "Batch:2\n",
            "d_loss :  0.3299783766269684\n",
            "g_loss: 2.343667984008789\n",
            "Epoch:4966, dis_loss:0.33220552404721576\n",
            "Epoch:4966, gen_loss: 2.1903721491495767\n",
            "Batch:3\n",
            "d_loss :  0.3322834223508835\n",
            "g_loss: 2.140471935272217\n",
            "Epoch:4966, dis_loss:0.3322249986231327\n",
            "Epoch:4966, gen_loss: 2.177897095680237\n",
            "--------------------------\n",
            "Epoch is 4967\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33579373359680176\n",
            "g_loss: 2.155977487564087\n",
            "Epoch:4967, dis_loss:0.33579373359680176\n",
            "Epoch:4967, gen_loss: 2.155977487564087\n",
            "Batch:1\n",
            "d_loss :  0.3253380060195923\n",
            "g_loss: 2.307326316833496\n",
            "Epoch:4967, dis_loss:0.330565869808197\n",
            "Epoch:4967, gen_loss: 2.2316519021987915\n",
            "Batch:2\n",
            "d_loss :  0.3266090005636215\n",
            "g_loss: 2.19490909576416\n",
            "Epoch:4967, dis_loss:0.3292469133933385\n",
            "Epoch:4967, gen_loss: 2.2194043000539145\n",
            "Batch:3\n",
            "d_loss :  0.3285548537969589\n",
            "g_loss: 2.119230031967163\n",
            "Epoch:4967, dis_loss:0.3290738984942436\n",
            "Epoch:4967, gen_loss: 2.1943607330322266\n",
            "--------------------------\n",
            "Epoch is 4968\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3257201761007309\n",
            "g_loss: 2.440866470336914\n",
            "Epoch:4968, dis_loss:0.3257201761007309\n",
            "Epoch:4968, gen_loss: 2.440866470336914\n",
            "Batch:1\n",
            "d_loss :  0.33704693615436554\n",
            "g_loss: 2.0598695278167725\n",
            "Epoch:4968, dis_loss:0.3313835561275482\n",
            "Epoch:4968, gen_loss: 2.2503679990768433\n",
            "Batch:2\n",
            "d_loss :  0.3412989377975464\n",
            "g_loss: 2.151102304458618\n",
            "Epoch:4968, dis_loss:0.3346886833508809\n",
            "Epoch:4968, gen_loss: 2.2172794342041016\n",
            "Batch:3\n",
            "d_loss :  0.3410993814468384\n",
            "g_loss: 2.3732922077178955\n",
            "Epoch:4968, dis_loss:0.3362913578748703\n",
            "Epoch:4968, gen_loss: 2.25628262758255\n",
            "--------------------------\n",
            "Epoch is 4969\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3429526537656784\n",
            "g_loss: 2.073564052581787\n",
            "Epoch:4969, dis_loss:0.3429526537656784\n",
            "Epoch:4969, gen_loss: 2.073564052581787\n",
            "Batch:1\n",
            "d_loss :  0.33397823572158813\n",
            "g_loss: 2.172215461730957\n",
            "Epoch:4969, dis_loss:0.33846544474363327\n",
            "Epoch:4969, gen_loss: 2.122889757156372\n",
            "Batch:2\n",
            "d_loss :  0.34193216264247894\n",
            "g_loss: 2.244922399520874\n",
            "Epoch:4969, dis_loss:0.33962101737658185\n",
            "Epoch:4969, gen_loss: 2.163567304611206\n",
            "Batch:3\n",
            "d_loss :  0.3448839783668518\n",
            "g_loss: 2.1631200313568115\n",
            "Epoch:4969, dis_loss:0.3409367576241493\n",
            "Epoch:4969, gen_loss: 2.1634554862976074\n",
            "--------------------------\n",
            "Epoch is 4970\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3376816511154175\n",
            "g_loss: 2.0004208087921143\n",
            "Epoch:4970, dis_loss:0.3376816511154175\n",
            "Epoch:4970, gen_loss: 2.0004208087921143\n",
            "Batch:1\n",
            "d_loss :  0.34692834317684174\n",
            "g_loss: 2.3689656257629395\n",
            "Epoch:4970, dis_loss:0.3423049971461296\n",
            "Epoch:4970, gen_loss: 2.184693217277527\n",
            "Batch:2\n",
            "d_loss :  0.3239416182041168\n",
            "g_loss: 2.3696112632751465\n",
            "Epoch:4970, dis_loss:0.33618387083212536\n",
            "Epoch:4970, gen_loss: 2.2463325659434\n",
            "Batch:3\n",
            "d_loss :  0.34304168820381165\n",
            "g_loss: 1.9936844110488892\n",
            "Epoch:4970, dis_loss:0.3378983251750469\n",
            "Epoch:4970, gen_loss: 2.1831705272197723\n",
            "--------------------------\n",
            "Epoch is 4971\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3312867283821106\n",
            "g_loss: 2.1633827686309814\n",
            "Epoch:4971, dis_loss:0.3312867283821106\n",
            "Epoch:4971, gen_loss: 2.1633827686309814\n",
            "Batch:1\n",
            "d_loss :  0.3510100692510605\n",
            "g_loss: 2.1296730041503906\n",
            "Epoch:4971, dis_loss:0.34114839881658554\n",
            "Epoch:4971, gen_loss: 2.146527886390686\n",
            "Batch:2\n",
            "d_loss :  0.33290843665599823\n",
            "g_loss: 2.0008187294006348\n",
            "Epoch:4971, dis_loss:0.33840174476305646\n",
            "Epoch:4971, gen_loss: 2.0979581673940024\n",
            "Batch:3\n",
            "d_loss :  0.34017838537693024\n",
            "g_loss: 2.094414234161377\n",
            "Epoch:4971, dis_loss:0.3388459049165249\n",
            "Epoch:4971, gen_loss: 2.097072184085846\n",
            "--------------------------\n",
            "Epoch is 4972\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3350980579853058\n",
            "g_loss: 2.229402542114258\n",
            "Epoch:4972, dis_loss:0.3350980579853058\n",
            "Epoch:4972, gen_loss: 2.229402542114258\n",
            "Batch:1\n",
            "d_loss :  0.3367667645215988\n",
            "g_loss: 2.1235463619232178\n",
            "Epoch:4972, dis_loss:0.3359324112534523\n",
            "Epoch:4972, gen_loss: 2.176474452018738\n",
            "Batch:2\n",
            "d_loss :  0.31978684663772583\n",
            "g_loss: 2.147167682647705\n",
            "Epoch:4972, dis_loss:0.33055055638154346\n",
            "Epoch:4972, gen_loss: 2.16670552889506\n",
            "Batch:3\n",
            "d_loss :  0.3584628403186798\n",
            "g_loss: 2.110365867614746\n",
            "Epoch:4972, dis_loss:0.33752862736582756\n",
            "Epoch:4972, gen_loss: 2.1526206135749817\n",
            "--------------------------\n",
            "Epoch is 4973\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3265283703804016\n",
            "g_loss: 2.2828307151794434\n",
            "Epoch:4973, dis_loss:0.3265283703804016\n",
            "Epoch:4973, gen_loss: 2.2828307151794434\n",
            "Batch:1\n",
            "d_loss :  0.32390788197517395\n",
            "g_loss: 2.274901866912842\n",
            "Epoch:4973, dis_loss:0.3252181261777878\n",
            "Epoch:4973, gen_loss: 2.2788662910461426\n",
            "Batch:2\n",
            "d_loss :  0.32694879174232483\n",
            "g_loss: 2.3016281127929688\n",
            "Epoch:4973, dis_loss:0.3257950146993001\n",
            "Epoch:4973, gen_loss: 2.2864535649617515\n",
            "Batch:3\n",
            "d_loss :  0.3389906734228134\n",
            "g_loss: 2.0660839080810547\n",
            "Epoch:4973, dis_loss:0.32909392938017845\n",
            "Epoch:4973, gen_loss: 2.231361150741577\n",
            "--------------------------\n",
            "Epoch is 4974\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3439163863658905\n",
            "g_loss: 2.1224441528320312\n",
            "Epoch:4974, dis_loss:0.3439163863658905\n",
            "Epoch:4974, gen_loss: 2.1224441528320312\n",
            "Batch:1\n",
            "d_loss :  0.33646123111248016\n",
            "g_loss: 2.185915231704712\n",
            "Epoch:4974, dis_loss:0.34018880873918533\n",
            "Epoch:4974, gen_loss: 2.1541796922683716\n",
            "Batch:2\n",
            "d_loss :  0.34179429709911346\n",
            "g_loss: 2.015455722808838\n",
            "Epoch:4974, dis_loss:0.34072397152582806\n",
            "Epoch:4974, gen_loss: 2.107938369115194\n",
            "Batch:3\n",
            "d_loss :  0.33536358177661896\n",
            "g_loss: 2.1456854343414307\n",
            "Epoch:4974, dis_loss:0.33938387408852577\n",
            "Epoch:4974, gen_loss: 2.117375135421753\n",
            "--------------------------\n",
            "Epoch is 4975\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3371675908565521\n",
            "g_loss: 2.1514768600463867\n",
            "Epoch:4975, dis_loss:0.3371675908565521\n",
            "Epoch:4975, gen_loss: 2.1514768600463867\n",
            "Batch:1\n",
            "d_loss :  0.3331427723169327\n",
            "g_loss: 2.347194194793701\n",
            "Epoch:4975, dis_loss:0.3351551815867424\n",
            "Epoch:4975, gen_loss: 2.249335527420044\n",
            "Batch:2\n",
            "d_loss :  0.3308238685131073\n",
            "g_loss: 2.1045520305633545\n",
            "Epoch:4975, dis_loss:0.3337114105621974\n",
            "Epoch:4975, gen_loss: 2.2010743618011475\n",
            "Batch:3\n",
            "d_loss :  0.33416908979415894\n",
            "g_loss: 2.284593343734741\n",
            "Epoch:4975, dis_loss:0.33382583037018776\n",
            "Epoch:4975, gen_loss: 2.221954107284546\n",
            "--------------------------\n",
            "Epoch is 4976\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3258039504289627\n",
            "g_loss: 2.2030067443847656\n",
            "Epoch:4976, dis_loss:0.3258039504289627\n",
            "Epoch:4976, gen_loss: 2.2030067443847656\n",
            "Batch:1\n",
            "d_loss :  0.32660388946533203\n",
            "g_loss: 2.288576602935791\n",
            "Epoch:4976, dis_loss:0.32620391994714737\n",
            "Epoch:4976, gen_loss: 2.2457916736602783\n",
            "Batch:2\n",
            "d_loss :  0.3585737943649292\n",
            "g_loss: 1.9154024124145508\n",
            "Epoch:4976, dis_loss:0.33699387808640796\n",
            "Epoch:4976, gen_loss: 2.1356619199117026\n",
            "Batch:3\n",
            "d_loss :  0.3420518636703491\n",
            "g_loss: 2.442899703979492\n",
            "Epoch:4976, dis_loss:0.33825837448239326\n",
            "Epoch:4976, gen_loss: 2.21247136592865\n",
            "--------------------------\n",
            "Epoch is 4977\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3375193774700165\n",
            "g_loss: 2.2870359420776367\n",
            "Epoch:4977, dis_loss:0.3375193774700165\n",
            "Epoch:4977, gen_loss: 2.2870359420776367\n",
            "Batch:1\n",
            "d_loss :  0.32295556366443634\n",
            "g_loss: 2.0550107955932617\n",
            "Epoch:4977, dis_loss:0.3302374705672264\n",
            "Epoch:4977, gen_loss: 2.171023368835449\n",
            "Batch:2\n",
            "d_loss :  0.3231220245361328\n",
            "g_loss: 2.339397430419922\n",
            "Epoch:4977, dis_loss:0.32786565522352856\n",
            "Epoch:4977, gen_loss: 2.2271480560302734\n",
            "Batch:3\n",
            "d_loss :  0.34501102566719055\n",
            "g_loss: 2.087362766265869\n",
            "Epoch:4977, dis_loss:0.33215199783444405\n",
            "Epoch:4977, gen_loss: 2.1922017335891724\n",
            "--------------------------\n",
            "Epoch is 4978\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3306845426559448\n",
            "g_loss: 2.3339133262634277\n",
            "Epoch:4978, dis_loss:0.3306845426559448\n",
            "Epoch:4978, gen_loss: 2.3339133262634277\n",
            "Batch:1\n",
            "d_loss :  0.34537461400032043\n",
            "g_loss: 2.0716497898101807\n",
            "Epoch:4978, dis_loss:0.33802957832813263\n",
            "Epoch:4978, gen_loss: 2.202781558036804\n",
            "Batch:2\n",
            "d_loss :  0.32771117985248566\n",
            "g_loss: 2.1594505310058594\n",
            "Epoch:4978, dis_loss:0.3345901121695836\n",
            "Epoch:4978, gen_loss: 2.1883378823598227\n",
            "Batch:3\n",
            "d_loss :  0.34417563676834106\n",
            "g_loss: 2.0802230834960938\n",
            "Epoch:4978, dis_loss:0.336986493319273\n",
            "Epoch:4978, gen_loss: 2.1613091826438904\n",
            "--------------------------\n",
            "Epoch is 4979\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3332844078540802\n",
            "g_loss: 2.1369595527648926\n",
            "Epoch:4979, dis_loss:0.3332844078540802\n",
            "Epoch:4979, gen_loss: 2.1369595527648926\n",
            "Batch:1\n",
            "d_loss :  0.3343484252691269\n",
            "g_loss: 2.181974411010742\n",
            "Epoch:4979, dis_loss:0.33381641656160355\n",
            "Epoch:4979, gen_loss: 2.1594669818878174\n",
            "Batch:2\n",
            "d_loss :  0.33846646547317505\n",
            "g_loss: 2.069390296936035\n",
            "Epoch:4979, dis_loss:0.3353664328654607\n",
            "Epoch:4979, gen_loss: 2.129441420237223\n",
            "Batch:3\n",
            "d_loss :  0.3347342163324356\n",
            "g_loss: 2.1824629306793213\n",
            "Epoch:4979, dis_loss:0.33520837873220444\n",
            "Epoch:4979, gen_loss: 2.142696797847748\n",
            "--------------------------\n",
            "Epoch is 4980\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33719536662101746\n",
            "g_loss: 2.2354559898376465\n",
            "Epoch:4980, dis_loss:0.33719536662101746\n",
            "Epoch:4980, gen_loss: 2.2354559898376465\n",
            "Batch:1\n",
            "d_loss :  0.3351929038763046\n",
            "g_loss: 2.1521856784820557\n",
            "Epoch:4980, dis_loss:0.33619413524866104\n",
            "Epoch:4980, gen_loss: 2.193820834159851\n",
            "Batch:2\n",
            "d_loss :  0.33547191321849823\n",
            "g_loss: 2.0313339233398438\n",
            "Epoch:4980, dis_loss:0.3359533945719401\n",
            "Epoch:4980, gen_loss: 2.139658530553182\n",
            "Batch:3\n",
            "d_loss :  0.3400617837905884\n",
            "g_loss: 2.316272497177124\n",
            "Epoch:4980, dis_loss:0.3369804918766022\n",
            "Epoch:4980, gen_loss: 2.1838120222091675\n",
            "--------------------------\n",
            "Epoch is 4981\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3453768789768219\n",
            "g_loss: 2.050295829772949\n",
            "Epoch:4981, dis_loss:0.3453768789768219\n",
            "Epoch:4981, gen_loss: 2.050295829772949\n",
            "Batch:1\n",
            "d_loss :  0.33709245920181274\n",
            "g_loss: 2.149940013885498\n",
            "Epoch:4981, dis_loss:0.3412346690893173\n",
            "Epoch:4981, gen_loss: 2.1001179218292236\n",
            "Batch:2\n",
            "d_loss :  0.31751349568367004\n",
            "g_loss: 2.450044870376587\n",
            "Epoch:4981, dis_loss:0.3333276112874349\n",
            "Epoch:4981, gen_loss: 2.216760238011678\n",
            "Batch:3\n",
            "d_loss :  0.34716296195983887\n",
            "g_loss: 2.025482177734375\n",
            "Epoch:4981, dis_loss:0.3367864489555359\n",
            "Epoch:4981, gen_loss: 2.1689407229423523\n",
            "--------------------------\n",
            "Epoch is 4982\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3453759551048279\n",
            "g_loss: 2.067721366882324\n",
            "Epoch:4982, dis_loss:0.3453759551048279\n",
            "Epoch:4982, gen_loss: 2.067721366882324\n",
            "Batch:1\n",
            "d_loss :  0.34699709713459015\n",
            "g_loss: 2.13814377784729\n",
            "Epoch:4982, dis_loss:0.346186526119709\n",
            "Epoch:4982, gen_loss: 2.102932572364807\n",
            "Batch:2\n",
            "d_loss :  0.3359963595867157\n",
            "g_loss: 2.080808162689209\n",
            "Epoch:4982, dis_loss:0.34278980394204456\n",
            "Epoch:4982, gen_loss: 2.095557769139608\n",
            "Batch:3\n",
            "d_loss :  0.3431776165962219\n",
            "g_loss: 2.1112606525421143\n",
            "Epoch:4982, dis_loss:0.3428867571055889\n",
            "Epoch:4982, gen_loss: 2.0994834899902344\n",
            "--------------------------\n",
            "Epoch is 4983\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.34307536482810974\n",
            "g_loss: 2.0827677249908447\n",
            "Epoch:4983, dis_loss:0.34307536482810974\n",
            "Epoch:4983, gen_loss: 2.0827677249908447\n",
            "Batch:1\n",
            "d_loss :  0.3294590413570404\n",
            "g_loss: 2.3492298126220703\n",
            "Epoch:4983, dis_loss:0.3362672030925751\n",
            "Epoch:4983, gen_loss: 2.2159987688064575\n",
            "Batch:2\n",
            "d_loss :  0.33987627923488617\n",
            "g_loss: 1.9958113431930542\n",
            "Epoch:4983, dis_loss:0.33747022847334546\n",
            "Epoch:4983, gen_loss: 2.1426029602686563\n",
            "Batch:3\n",
            "d_loss :  0.33441483974456787\n",
            "g_loss: 2.4323861598968506\n",
            "Epoch:4983, dis_loss:0.33670638129115105\n",
            "Epoch:4983, gen_loss: 2.215048760175705\n",
            "--------------------------\n",
            "Epoch is 4984\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33719775080680847\n",
            "g_loss: 2.240602731704712\n",
            "Epoch:4984, dis_loss:0.33719775080680847\n",
            "Epoch:4984, gen_loss: 2.240602731704712\n",
            "Batch:1\n",
            "d_loss :  0.3236689865589142\n",
            "g_loss: 2.1885104179382324\n",
            "Epoch:4984, dis_loss:0.33043336868286133\n",
            "Epoch:4984, gen_loss: 2.214556574821472\n",
            "Batch:2\n",
            "d_loss :  0.3494822233915329\n",
            "g_loss: 2.110200881958008\n",
            "Epoch:4984, dis_loss:0.3367829869190852\n",
            "Epoch:4984, gen_loss: 2.179771343866984\n",
            "Batch:3\n",
            "d_loss :  0.3410269021987915\n",
            "g_loss: 2.224557876586914\n",
            "Epoch:4984, dis_loss:0.33784396573901176\n",
            "Epoch:4984, gen_loss: 2.1909679770469666\n",
            "--------------------------\n",
            "Epoch is 4985\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.337986022233963\n",
            "g_loss: 2.084352493286133\n",
            "Epoch:4985, dis_loss:0.337986022233963\n",
            "Epoch:4985, gen_loss: 2.084352493286133\n",
            "Batch:1\n",
            "d_loss :  0.3403189927339554\n",
            "g_loss: 2.0951759815216064\n",
            "Epoch:4985, dis_loss:0.3391525074839592\n",
            "Epoch:4985, gen_loss: 2.0897642374038696\n",
            "Batch:2\n",
            "d_loss :  0.3380971848964691\n",
            "g_loss: 2.177910804748535\n",
            "Epoch:4985, dis_loss:0.33880073328812915\n",
            "Epoch:4985, gen_loss: 2.1191464265187583\n",
            "Batch:3\n",
            "d_loss :  0.34777122735977173\n",
            "g_loss: 2.049795150756836\n",
            "Epoch:4985, dis_loss:0.3410433568060398\n",
            "Epoch:4985, gen_loss: 2.1018086075782776\n",
            "--------------------------\n",
            "Epoch is 4986\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33350807428359985\n",
            "g_loss: 2.370802164077759\n",
            "Epoch:4986, dis_loss:0.33350807428359985\n",
            "Epoch:4986, gen_loss: 2.370802164077759\n",
            "Batch:1\n",
            "d_loss :  0.35088323056697845\n",
            "g_loss: 2.042126178741455\n",
            "Epoch:4986, dis_loss:0.34219565242528915\n",
            "Epoch:4986, gen_loss: 2.206464171409607\n",
            "Batch:2\n",
            "d_loss :  0.3283732831478119\n",
            "g_loss: 2.1625027656555176\n",
            "Epoch:4986, dis_loss:0.3375881959994634\n",
            "Epoch:4986, gen_loss: 2.191810369491577\n",
            "Batch:3\n",
            "d_loss :  0.3368174582719803\n",
            "g_loss: 2.3341634273529053\n",
            "Epoch:4986, dis_loss:0.3373955115675926\n",
            "Epoch:4986, gen_loss: 2.227398633956909\n",
            "--------------------------\n",
            "Epoch is 4987\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3346853405237198\n",
            "g_loss: 2.124680519104004\n",
            "Epoch:4987, dis_loss:0.3346853405237198\n",
            "Epoch:4987, gen_loss: 2.124680519104004\n",
            "Batch:1\n",
            "d_loss :  0.3260866701602936\n",
            "g_loss: 2.2685351371765137\n",
            "Epoch:4987, dis_loss:0.3303860053420067\n",
            "Epoch:4987, gen_loss: 2.196607828140259\n",
            "Batch:2\n",
            "d_loss :  0.33498264849185944\n",
            "g_loss: 2.195876121520996\n",
            "Epoch:4987, dis_loss:0.33191821972529095\n",
            "Epoch:4987, gen_loss: 2.196363925933838\n",
            "Batch:3\n",
            "d_loss :  0.33916330337524414\n",
            "g_loss: 2.1936516761779785\n",
            "Epoch:4987, dis_loss:0.33372949063777924\n",
            "Epoch:4987, gen_loss: 2.195685863494873\n",
            "--------------------------\n",
            "Epoch is 4988\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3548026382923126\n",
            "g_loss: 1.9602677822113037\n",
            "Epoch:4988, dis_loss:0.3548026382923126\n",
            "Epoch:4988, gen_loss: 1.9602677822113037\n",
            "Batch:1\n",
            "d_loss :  0.3357033282518387\n",
            "g_loss: 2.574801445007324\n",
            "Epoch:4988, dis_loss:0.34525298327207565\n",
            "Epoch:4988, gen_loss: 2.267534613609314\n",
            "Batch:2\n",
            "d_loss :  0.3352953791618347\n",
            "g_loss: 2.148982524871826\n",
            "Epoch:4988, dis_loss:0.34193378190199536\n",
            "Epoch:4988, gen_loss: 2.228017250696818\n",
            "Batch:3\n",
            "d_loss :  0.3426554948091507\n",
            "g_loss: 2.1477553844451904\n",
            "Epoch:4988, dis_loss:0.3421142101287842\n",
            "Epoch:4988, gen_loss: 2.207951784133911\n",
            "--------------------------\n",
            "Epoch is 4989\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3377254009246826\n",
            "g_loss: 2.22676682472229\n",
            "Epoch:4989, dis_loss:0.3377254009246826\n",
            "Epoch:4989, gen_loss: 2.22676682472229\n",
            "Batch:1\n",
            "d_loss :  0.3480108380317688\n",
            "g_loss: 2.1314077377319336\n",
            "Epoch:4989, dis_loss:0.3428681194782257\n",
            "Epoch:4989, gen_loss: 2.179087281227112\n",
            "Batch:2\n",
            "d_loss :  0.3346513509750366\n",
            "g_loss: 2.017819404602051\n",
            "Epoch:4989, dis_loss:0.34012919664382935\n",
            "Epoch:4989, gen_loss: 2.1253313223520913\n",
            "Batch:3\n",
            "d_loss :  0.3520820736885071\n",
            "g_loss: 2.2878642082214355\n",
            "Epoch:4989, dis_loss:0.3431174159049988\n",
            "Epoch:4989, gen_loss: 2.1659645438194275\n",
            "--------------------------\n",
            "Epoch is 4990\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3527319133281708\n",
            "g_loss: 2.042280912399292\n",
            "Epoch:4990, dis_loss:0.3527319133281708\n",
            "Epoch:4990, gen_loss: 2.042280912399292\n",
            "Batch:1\n",
            "d_loss :  0.3426325172185898\n",
            "g_loss: 2.0759918689727783\n",
            "Epoch:4990, dis_loss:0.3476822152733803\n",
            "Epoch:4990, gen_loss: 2.059136390686035\n",
            "Batch:2\n",
            "d_loss :  0.32747378945350647\n",
            "g_loss: 2.3622870445251465\n",
            "Epoch:4990, dis_loss:0.34094607333342236\n",
            "Epoch:4990, gen_loss: 2.1601866086324057\n",
            "Batch:3\n",
            "d_loss :  0.3485725373029709\n",
            "g_loss: 2.0508251190185547\n",
            "Epoch:4990, dis_loss:0.3428526893258095\n",
            "Epoch:4990, gen_loss: 2.132846236228943\n",
            "--------------------------\n",
            "Epoch is 4991\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3302117884159088\n",
            "g_loss: 2.232252836227417\n",
            "Epoch:4991, dis_loss:0.3302117884159088\n",
            "Epoch:4991, gen_loss: 2.232252836227417\n",
            "Batch:1\n",
            "d_loss :  0.35146911442279816\n",
            "g_loss: 2.0878005027770996\n",
            "Epoch:4991, dis_loss:0.3408404514193535\n",
            "Epoch:4991, gen_loss: 2.1600266695022583\n",
            "Batch:2\n",
            "d_loss :  0.33205026388168335\n",
            "g_loss: 2.2621917724609375\n",
            "Epoch:4991, dis_loss:0.33791038890679675\n",
            "Epoch:4991, gen_loss: 2.194081703821818\n",
            "Batch:3\n",
            "d_loss :  0.3574940115213394\n",
            "g_loss: 2.0977816581726074\n",
            "Epoch:4991, dis_loss:0.34280629456043243\n",
            "Epoch:4991, gen_loss: 2.1700066924095154\n",
            "--------------------------\n",
            "Epoch is 4992\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3417079448699951\n",
            "g_loss: 2.298337459564209\n",
            "Epoch:4992, dis_loss:0.3417079448699951\n",
            "Epoch:4992, gen_loss: 2.298337459564209\n",
            "Batch:1\n",
            "d_loss :  0.33347007632255554\n",
            "g_loss: 2.0806641578674316\n",
            "Epoch:4992, dis_loss:0.33758901059627533\n",
            "Epoch:4992, gen_loss: 2.1895008087158203\n",
            "Batch:2\n",
            "d_loss :  0.32938387989997864\n",
            "g_loss: 2.1799354553222656\n",
            "Epoch:4992, dis_loss:0.3348539670308431\n",
            "Epoch:4992, gen_loss: 2.1863123575846353\n",
            "Batch:3\n",
            "d_loss :  0.3417849987745285\n",
            "g_loss: 2.2213332653045654\n",
            "Epoch:4992, dis_loss:0.33658672496676445\n",
            "Epoch:4992, gen_loss: 2.195067584514618\n",
            "--------------------------\n",
            "Epoch is 4993\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.33851753175258636\n",
            "g_loss: 2.1414904594421387\n",
            "Epoch:4993, dis_loss:0.33851753175258636\n",
            "Epoch:4993, gen_loss: 2.1414904594421387\n",
            "Batch:1\n",
            "d_loss :  0.3373611867427826\n",
            "g_loss: 2.0462217330932617\n",
            "Epoch:4993, dis_loss:0.3379393592476845\n",
            "Epoch:4993, gen_loss: 2.0938560962677\n",
            "Batch:2\n",
            "d_loss :  0.3370751589536667\n",
            "g_loss: 2.4570536613464355\n",
            "Epoch:4993, dis_loss:0.3376512924830119\n",
            "Epoch:4993, gen_loss: 2.2149219512939453\n",
            "Batch:3\n",
            "d_loss :  0.34904494881629944\n",
            "g_loss: 2.456247568130493\n",
            "Epoch:4993, dis_loss:0.34049970656633377\n",
            "Epoch:4993, gen_loss: 2.2752533555030823\n",
            "--------------------------\n",
            "Epoch is 4994\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3317835032939911\n",
            "g_loss: 2.208695650100708\n",
            "Epoch:4994, dis_loss:0.3317835032939911\n",
            "Epoch:4994, gen_loss: 2.208695650100708\n",
            "Batch:1\n",
            "d_loss :  0.3433929830789566\n",
            "g_loss: 2.1650478839874268\n",
            "Epoch:4994, dis_loss:0.33758824318647385\n",
            "Epoch:4994, gen_loss: 2.1868717670440674\n",
            "Batch:2\n",
            "d_loss :  0.3386605829000473\n",
            "g_loss: 2.063014268875122\n",
            "Epoch:4994, dis_loss:0.337945689757665\n",
            "Epoch:4994, gen_loss: 2.1455859343210855\n",
            "Batch:3\n",
            "d_loss :  0.33249762654304504\n",
            "g_loss: 2.1974010467529297\n",
            "Epoch:4994, dis_loss:0.33658367395401\n",
            "Epoch:4994, gen_loss: 2.1585397124290466\n",
            "--------------------------\n",
            "Epoch is 4995\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3329930305480957\n",
            "g_loss: 2.3569812774658203\n",
            "Epoch:4995, dis_loss:0.3329930305480957\n",
            "Epoch:4995, gen_loss: 2.3569812774658203\n",
            "Batch:1\n",
            "d_loss :  0.35497188568115234\n",
            "g_loss: 2.1276192665100098\n",
            "Epoch:4995, dis_loss:0.343982458114624\n",
            "Epoch:4995, gen_loss: 2.242300271987915\n",
            "Batch:2\n",
            "d_loss :  0.34811966121196747\n",
            "g_loss: 2.0543253421783447\n",
            "Epoch:4995, dis_loss:0.3453615258137385\n",
            "Epoch:4995, gen_loss: 2.1796419620513916\n",
            "Batch:3\n",
            "d_loss :  0.35966427624225616\n",
            "g_loss: 2.608194351196289\n",
            "Epoch:4995, dis_loss:0.3489372134208679\n",
            "Epoch:4995, gen_loss: 2.286780059337616\n",
            "--------------------------\n",
            "Epoch is 4996\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3610360622406006\n",
            "g_loss: 2.106218099594116\n",
            "Epoch:4996, dis_loss:0.3610360622406006\n",
            "Epoch:4996, gen_loss: 2.106218099594116\n",
            "Batch:1\n",
            "d_loss :  0.3399731069803238\n",
            "g_loss: 2.139436721801758\n",
            "Epoch:4996, dis_loss:0.3505045846104622\n",
            "Epoch:4996, gen_loss: 2.122827410697937\n",
            "Batch:2\n",
            "d_loss :  0.33137890696525574\n",
            "g_loss: 2.2005722522735596\n",
            "Epoch:4996, dis_loss:0.3441293587287267\n",
            "Epoch:4996, gen_loss: 2.148742357889811\n",
            "Batch:3\n",
            "d_loss :  0.3469489961862564\n",
            "g_loss: 2.1089019775390625\n",
            "Epoch:4996, dis_loss:0.34483426809310913\n",
            "Epoch:4996, gen_loss: 2.138782262802124\n",
            "--------------------------\n",
            "Epoch is 4997\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3368307203054428\n",
            "g_loss: 2.0122690200805664\n",
            "Epoch:4997, dis_loss:0.3368307203054428\n",
            "Epoch:4997, gen_loss: 2.0122690200805664\n",
            "Batch:1\n",
            "d_loss :  0.3333268463611603\n",
            "g_loss: 2.2551138401031494\n",
            "Epoch:4997, dis_loss:0.33507878333330154\n",
            "Epoch:4997, gen_loss: 2.133691430091858\n",
            "Batch:2\n",
            "d_loss :  0.3319863975048065\n",
            "g_loss: 2.1057474613189697\n",
            "Epoch:4997, dis_loss:0.33404798805713654\n",
            "Epoch:4997, gen_loss: 2.1243767738342285\n",
            "Batch:3\n",
            "d_loss :  0.34239187836647034\n",
            "g_loss: 2.170717239379883\n",
            "Epoch:4997, dis_loss:0.33613396063447\n",
            "Epoch:4997, gen_loss: 2.135961890220642\n",
            "--------------------------\n",
            "Epoch is 4998\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3347775787115097\n",
            "g_loss: 2.21909761428833\n",
            "Epoch:4998, dis_loss:0.3347775787115097\n",
            "Epoch:4998, gen_loss: 2.21909761428833\n",
            "Batch:1\n",
            "d_loss :  0.34102925658226013\n",
            "g_loss: 2.063603162765503\n",
            "Epoch:4998, dis_loss:0.3379034176468849\n",
            "Epoch:4998, gen_loss: 2.1413503885269165\n",
            "Batch:2\n",
            "d_loss :  0.33858805894851685\n",
            "g_loss: 2.256376266479492\n",
            "Epoch:4998, dis_loss:0.3381316314140956\n",
            "Epoch:4998, gen_loss: 2.179692347844442\n",
            "Batch:3\n",
            "d_loss :  0.35553498566150665\n",
            "g_loss: 2.242408275604248\n",
            "Epoch:4998, dis_loss:0.34248246997594833\n",
            "Epoch:4998, gen_loss: 2.1953713297843933\n",
            "--------------------------\n",
            "Epoch is 4999\n",
            "Number of Batches :  4\n",
            "Batch:0\n",
            "d_loss :  0.3438975363969803\n",
            "g_loss: 2.308504343032837\n",
            "Epoch:4999, dis_loss:0.3438975363969803\n",
            "Epoch:4999, gen_loss: 2.308504343032837\n",
            "Batch:1\n",
            "d_loss :  0.3234230875968933\n",
            "g_loss: 2.217130661010742\n",
            "Epoch:4999, dis_loss:0.3336603119969368\n",
            "Epoch:4999, gen_loss: 2.2628175020217896\n",
            "Batch:2\n",
            "d_loss :  0.3429958075284958\n",
            "g_loss: 2.214717388153076\n",
            "Epoch:4999, dis_loss:0.3367721438407898\n",
            "Epoch:4999, gen_loss: 2.2467841307322183\n",
            "Batch:3\n",
            "d_loss :  0.3415505588054657\n",
            "g_loss: 2.2836568355560303\n",
            "Epoch:4999, dis_loss:0.33796674758195877\n",
            "Epoch:4999, gen_loss: 2.2560023069381714\n",
            "Time: 10564.837946653366\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "27672jZgzTOh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UJtDEurWvdSf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "99bc2e11-8d28-4f8b-c605-1d434111c109"
      },
      "source": [
        "!python3 scipy --version"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(null): can't open file 'scipy': [Errno 2] No such file or directory\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UQCa-f9vvdVA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}