scene.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "scene.ipynb",
      "provenance": [],
      "mount_file_id": "1LbW3Uy-CfG8BiXyiBqN6gxtUhtg57tzl",
      "authorship_tag": "ABX9TyNR6zCBG4YDFQf5CWuomcup",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/cxq1/CS-Notes/blob/master/scene.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JLI6ccU_Iy7r",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1a4803f8-2a04-4645-e3da-d9a748e8d973"
      },
      "source": [
        "%%bash\n",
        "MINICONDA_INSTALLER_SCRIPT=Miniconda3-4.5.4-Linux-x86_64.sh\n",
        "MINICONDA_PREFIX=/usr/local\n",
        "wget https://repo.continuum.io/miniconda/$MINICONDA_INSTALLER_SCRIPT\n",
        "chmod +x $MINICONDA_INSTALLER_SCRIPT\n",
        "./$MINICONDA_INSTALLER_SCRIPT -b -f -p $MINICONDA_PREFIX"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "PREFIX=/usr/local\n",
            "installing: python-3.6.5-hc3d631a_2 ...\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"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "--2021-08-12 12:16:29--  https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh\n",
            "Resolving repo.continuum.io (repo.continuum.io)... 104.18.201.79, 104.18.200.79, 2606:4700::6812:c94f, ...\n",
            "Connecting to repo.continuum.io (repo.continuum.io)|104.18.201.79|: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",
            "--2021-08-12 12:16:29--  https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh\n",
            "Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.131.3, 104.16.130.3, 2606:4700::6810:8303, ...\n",
            "Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.131.3|: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",
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            "  8800K .......... .......... .......... .......... .......... 15% 80.8M 1s\n",
            "  8850K .......... .......... .......... .......... .......... 15%  214M 1s\n",
            "  8900K .......... .......... .......... .......... .......... 15%  116M 1s\n",
            "  8950K .......... .......... .......... .......... .......... 15% 96.5M 1s\n",
            "  9000K .......... .......... .......... .......... .......... 15%  220M 1s\n",
            "  9050K .......... .......... .......... .......... .......... 15% 68.8M 1s\n",
            "  9100K .......... .......... .......... .......... .......... 16% 55.8M 1s\n",
            "  9150K .......... .......... .......... .......... .......... 16% 65.0M 1s\n",
            "  9200K .......... .......... .......... .......... .......... 16%  233M 1s\n",
            "  9250K .......... .......... .......... .......... .......... 16%  123M 1s\n",
            "  9300K .......... .......... .......... .......... .......... 16% 40.6M 1s\n",
            "  9350K .......... .......... .......... .......... .......... 16% 51.1M 1s\n",
            "  9400K .......... .......... .......... .......... .......... 16% 60.5M 1s\n",
            "  9450K .......... .......... .......... .......... .......... 16% 65.0M 1s\n",
            "  9500K .......... .......... .......... .......... .......... 16%  221M 1s\n",
            "  9550K .......... .......... .......... .......... .......... 16% 56.6M 1s\n",
            "  9600K .......... .......... .......... .......... .......... 16% 67.9M 1s\n",
            "  9650K .......... .......... .......... .......... .......... 16% 75.2M 1s\n",
            "  9700K .......... .......... .......... .......... .......... 17%  228M 1s\n",
            "  9750K .......... .......... .......... .......... .......... 17% 64.9M 1s\n",
            "  9800K .......... .......... .......... .......... .......... 17% 83.5M 1s\n",
            "  9850K .......... .......... .......... .......... .......... 17% 54.1M 1s\n",
            "  9900K .......... .......... .......... .......... .......... 17% 94.8M 1s\n",
            "  9950K .......... .......... .......... .......... .......... 17%  191M 1s\n",
            " 10000K .......... .......... .......... .......... .......... 17% 61.0M 1s\n",
            " 10050K .......... .......... .......... .......... .......... 17%  162M 1s\n",
            " 10100K .......... .......... .......... .......... .......... 17% 78.5M 1s\n",
            " 10150K .......... .......... .......... .......... .......... 17% 64.6M 1s\n",
            " 10200K .......... .......... .......... .......... .......... 17% 95.9M 1s\n",
            " 10250K .......... .......... .......... .......... .......... 18%  154M 1s\n",
            " 10300K .......... .......... .......... .......... .......... 18% 98.6M 1s\n",
            " 10350K .......... .......... .......... .......... .......... 18% 77.3M 1s\n",
            " 10400K .......... .......... .......... .......... .......... 18%  233M 1s\n",
            " 10450K .......... .......... .......... .......... .......... 18%  176M 1s\n",
            " 10500K .......... .......... .......... .......... .......... 18% 46.9M 1s\n",
            " 10550K .......... .......... .......... .......... .......... 18%  122M 1s\n",
            " 10600K .......... .......... .......... .......... .......... 18%  130M 1s\n",
            " 10650K .......... .......... .......... .......... .......... 18% 66.3M 1s\n",
            " 10700K .......... .......... .......... .......... .......... 18%  224M 1s\n",
            " 10750K .......... .......... .......... .......... .......... 18%  141M 1s\n",
            " 10800K .......... .......... .......... .......... .......... 19% 89.0M 1s\n",
            " 10850K .......... .......... .......... .......... .......... 19%  213M 1s\n",
            " 10900K .......... .......... .......... .......... .......... 19%  144M 1s\n",
            " 10950K .......... .......... .......... .......... .......... 19% 64.8M 1s\n",
            " 11000K .......... .......... .......... .......... .......... 19%  188M 1s\n",
            " 11050K .......... .......... .......... .......... .......... 19%  225M 1s\n",
            " 11100K .......... .......... .......... .......... .......... 19%  118M 1s\n",
            " 11150K .......... .......... .......... .......... .......... 19% 25.4M 1s\n",
            " 11200K .......... .......... .......... .......... .......... 19%  109M 1s\n",
            " 11250K .......... .......... .......... .......... .......... 19%  212M 1s\n",
            " 11300K .......... .......... .......... .......... .......... 19%  245M 1s\n",
            " 11350K .......... .......... .......... .......... .......... 19% 92.9M 1s\n",
            " 11400K .......... .......... .......... .......... .......... 20%  130M 1s\n",
            " 11450K .......... .......... .......... .......... .......... 20%  214M 1s\n",
            " 11500K .......... .......... .......... .......... .......... 20%  199M 1s\n",
            " 11550K .......... .......... .......... .......... .......... 20%  216M 1s\n",
            " 11600K .......... .......... .......... .......... .......... 20%  196M 1s\n",
            " 11650K .......... .......... .......... .......... .......... 20%  240M 1s\n",
            " 11700K .......... .......... .......... .......... .......... 20%  236M 1s\n",
            " 11750K .......... .......... .......... .......... .......... 20%  192M 1s\n",
            " 11800K .......... .......... .......... .......... .......... 20%  132M 1s\n",
            " 11850K .......... .......... .......... .......... .......... 20%  123M 1s\n",
            " 11900K .......... .......... .......... .......... .......... 20%  118M 1s\n",
            " 11950K .......... .......... .......... .......... .......... 21%  201M 1s\n",
            " 12000K .......... .......... .......... .......... .......... 21%  105M 1s\n",
            " 12050K .......... .......... .......... .......... .......... 21% 63.3M 1s\n",
            " 12100K .......... .......... .......... .......... .......... 21% 60.3M 1s\n",
            " 12150K .......... .......... .......... .......... .......... 21% 65.0M 1s\n",
            " 12200K .......... .......... .......... .......... .......... 21%  107M 1s\n",
            " 12250K .......... .......... .......... .......... .......... 21%  214M 1s\n",
            " 12300K .......... .......... .......... .......... .......... 21% 39.5M 1s\n",
            " 12350K .......... .......... .......... .......... .......... 21% 58.9M 1s\n",
            " 12400K .......... .......... .......... .......... .......... 21% 60.9M 1s\n",
            " 12450K .......... .......... .......... .......... .......... 21%  208M 1s\n",
            " 12500K .......... .......... .......... .......... .......... 21% 65.3M 1s\n",
            " 12550K .......... .......... .......... .......... .......... 22% 55.8M 1s\n",
            " 12600K .......... .......... .......... .......... .......... 22% 65.0M 1s\n",
            " 12650K .......... .......... .......... .......... .......... 22% 77.5M 1s\n",
            " 12700K .......... .......... .......... .......... .......... 22%  219M 1s\n",
            " 12750K .......... .......... .......... .......... .......... 22% 64.9M 1s\n",
            " 12800K .......... .......... .......... .......... .......... 22%  106M 1s\n",
            " 12850K .......... .......... .......... .......... .......... 22% 49.0M 1s\n",
            " 12900K .......... .......... .......... .......... .......... 22% 87.3M 1s\n",
            " 12950K .......... .......... .......... .......... .......... 22% 51.3M 1s\n",
            " 13000K .......... .......... .......... .......... .......... 22%  193M 1s\n",
            " 13050K .......... .......... .......... .......... .......... 22%  228M 1s\n",
            " 13100K .......... .......... .......... .......... .......... 23% 72.6M 1s\n",
            " 13150K .......... .......... .......... .......... .......... 23% 73.5M 1s\n",
            " 13200K .......... .......... .......... .......... .......... 23%  216M 1s\n",
            " 13250K .......... .......... .......... .......... .......... 23%  102M 1s\n",
            " 13300K .......... .......... .......... .......... .......... 23% 99.5M 1s\n",
            " 13350K .......... .......... .......... .......... .......... 23%  179M 1s\n",
            " 13400K .......... .......... .......... .......... .......... 23% 61.6M 1s\n",
            " 13450K .......... .......... .......... .......... .......... 23%  212M 1s\n",
            " 13500K .......... .......... .......... .......... .......... 23% 39.9M 1s\n",
            " 13550K .......... .......... .......... .......... .......... 23%  199M 1s\n",
            " 13600K .......... .......... .......... .......... .......... 23%  121M 1s\n",
            " 13650K .......... .......... .......... .......... .......... 23% 60.2M 1s\n",
            " 13700K .......... .......... .......... .......... .......... 24% 88.5M 1s\n",
            " 13750K .......... .......... .......... .......... .......... 24%  189M 1s\n",
            " 13800K .......... .......... .......... .......... .......... 24%  213M 1s\n",
            " 13850K .......... .......... .......... .......... .......... 24%  226M 1s\n",
            " 13900K .......... .......... .......... .......... .......... 24%  112M 1s\n",
            " 13950K .......... .......... .......... .......... .......... 24% 72.5M 1s\n",
            " 14000K .......... .......... .......... .......... .......... 24%  222M 1s\n",
            " 14050K .......... .......... .......... .......... .......... 24% 95.4M 1s\n",
            " 14100K .......... .......... .......... .......... .......... 24%  220M 1s\n",
            " 14150K .......... .......... .......... .......... .......... 24% 26.2M 1s\n",
            " 14200K .......... .......... .......... .......... .......... 24%  111M 1s\n",
            " 14250K .......... .......... .......... .......... .......... 25%  196M 1s\n",
            " 14300K .......... .......... .......... .......... .......... 25%  126M 1s\n",
            " 14350K .......... .......... .......... .......... .......... 25%  187M 1s\n",
            " 14400K .......... .......... .......... .......... .......... 25%  119M 1s\n",
            " 14450K .......... .......... .......... .......... .......... 25%  228M 1s\n",
            " 14500K .......... .......... .......... .......... .......... 25%  199M 1s\n",
            " 14550K .......... .......... .......... .......... .......... 25%  174M 1s\n",
            " 14600K .......... .......... .......... .......... .......... 25%  163M 1s\n",
            " 14650K .......... .......... .......... .......... .......... 25%  123M 1s\n",
            " 14700K .......... .......... .......... .......... .......... 25%  236M 1s\n",
            " 14750K .......... .......... .......... .......... .......... 25%  203M 1s\n",
            " 14800K .......... .......... .......... .......... .......... 26%  222M 1s\n",
            " 14850K .......... .......... .......... .......... .......... 26%  229M 1s\n",
            " 14900K .......... .......... .......... .......... .......... 26%  159M 1s\n",
            " 14950K .......... .......... .......... .......... .......... 26% 63.3M 1s\n",
            " 15000K .......... .......... .......... .......... .......... 26% 56.1M 1s\n",
            " 15050K .......... .......... .......... .......... .......... 26% 80.5M 1s\n",
            " 15100K .......... .......... .......... .......... .......... 26%  164M 1s\n",
            " 15150K .......... .......... .......... .......... .......... 26% 70.8M 1s\n",
            " 15200K .......... .......... .......... .......... .......... 26%  106M 1s\n",
            " 15250K .......... .......... .......... .......... .......... 26%  207M 1s\n",
            " 15300K .......... .......... .......... .......... .......... 26% 46.2M 1s\n",
            " 15350K .......... .......... .......... .......... .......... 26% 58.0M 1s\n",
            " 15400K .......... .......... .......... .......... .......... 27%  221M 1s\n",
            " 15450K .......... .......... .......... .......... .......... 27% 57.2M 1s\n",
            " 15500K .......... .......... .......... .......... .......... 27% 65.3M 1s\n",
            " 15550K .......... .......... .......... .......... .......... 27% 58.9M 1s\n",
            " 15600K .......... .......... .......... .......... .......... 27%  217M 1s\n",
            " 15650K .......... .......... .......... .......... .......... 27% 67.6M 1s\n",
            " 15700K .......... .......... .......... .......... .......... 27% 67.4M 1s\n",
            " 15750K .......... .......... .......... .......... .......... 27% 68.6M 1s\n",
            " 15800K .......... .......... .......... .......... .......... 27% 97.6M 1s\n",
            " 15850K .......... .......... .......... .......... .......... 27% 47.9M 1s\n",
            " 15900K .......... .......... .......... .......... .......... 27%  205M 1s\n",
            " 15950K .......... .......... .......... .......... .......... 28% 94.0M 1s\n",
            " 16000K .......... .......... .......... .......... .......... 28% 49.8M 1s\n",
            " 16050K .......... .......... .......... .......... .......... 28% 58.4M 1s\n",
            " 16100K .......... .......... .......... .......... .......... 28%  199M 1s\n",
            " 16150K .......... .......... .......... .......... .......... 28%  199M 1s\n",
            " 16200K .......... .......... .......... .......... .......... 28%  105M 1s\n",
            " 16250K .......... .......... .......... .......... .......... 28%  118M 1s\n",
            " 16300K .......... .......... .......... .......... .......... 28% 97.0M 1s\n",
            " 16350K .......... .......... .......... .......... .......... 28%  197M 1s\n",
            " 16400K .......... .......... .......... .......... .......... 28% 55.6M 1s\n",
            " 16450K .......... .......... .......... .......... .......... 28%  183M 1s\n",
            " 16500K .......... .......... .......... .......... .......... 28% 38.6M 1s\n",
            " 16550K .......... .......... .......... .......... .......... 29% 93.2M 1s\n",
            " 16600K .......... .......... .......... .......... .......... 29% 71.3M 1s\n",
            " 16650K .......... .......... .......... .......... .......... 29%  225M 1s\n",
            " 16700K .......... .......... .......... .......... .......... 29%  131M 1s\n",
            " 16750K .......... .......... .......... .......... .......... 29%  109M 1s\n",
            " 16800K .......... .......... .......... .......... .......... 29%  219M 1s\n",
            " 16850K .......... .......... .......... .......... .......... 29%  234M 1s\n",
            " 16900K .......... .......... .......... .......... .......... 29%  144M 1s\n",
            " 16950K .......... .......... .......... .......... .......... 29% 67.8M 1s\n",
            " 17000K .......... .......... .......... .......... .......... 29%  210M 1s\n",
            " 17050K .......... .......... .......... .......... .......... 29%  212M 1s\n",
            " 17100K .......... .......... .......... .......... .......... 30%  104M 1s\n",
            " 17150K .......... .......... .......... .......... .......... 30% 29.0M 1s\n",
            " 17200K .......... .......... .......... .......... .......... 30% 81.5M 1s\n",
            " 17250K .......... .......... .......... .......... .......... 30%  212M 1s\n",
            " 17300K .......... .......... .......... .......... .......... 30%  219M 1s\n",
            " 17350K .......... .......... .......... .......... .......... 30%  108M 1s\n",
            " 17400K .......... .......... .......... .......... .......... 30%  121M 1s\n",
            " 17450K .......... .......... .......... .......... .......... 30%  149M 1s\n",
            " 17500K .......... .......... .......... .......... .......... 30% 97.2M 1s\n",
            " 17550K .......... .......... .......... .......... .......... 30%  178M 1s\n",
            " 17600K .......... .......... .......... .......... .......... 30%  251M 1s\n",
            " 17650K .......... .......... .......... .......... .......... 30%  230M 1s\n",
            " 17700K .......... .......... .......... .......... .......... 31%  187M 1s\n",
            " 17750K .......... .......... .......... .......... .......... 31%  177M 1s\n",
            " 17800K .......... .......... .......... .......... .......... 31%  234M 1s\n",
            " 17850K .......... .......... .......... .......... .......... 31%  203M 1s\n",
            " 17900K .......... .......... .......... .......... .......... 31%  207M 1s\n",
            " 17950K .......... .......... .......... .......... .......... 31% 66.0M 1s\n",
            " 18000K .......... .......... .......... .......... .......... 31% 54.5M 1s\n",
            " 18050K .......... .......... .......... .......... .......... 31% 77.2M 1s\n",
            " 18100K .......... .......... .......... .......... .......... 31% 72.5M 1s\n",
            " 18150K .......... .......... .......... .......... .......... 31% 71.4M 1s\n",
            " 18200K .......... .......... .......... .......... .......... 31%  180M 1s\n",
            " 18250K .......... .......... .......... .......... .......... 32%  205M 1s\n",
            " 18300K .......... .......... .......... .......... .......... 32% 63.1M 1s\n",
            " 18350K .......... .......... .......... .......... .......... 32% 66.3M 1s\n",
            " 18400K .......... .......... .......... .......... .......... 32%  206M 1s\n",
            " 18450K .......... .......... .......... .......... .......... 32% 58.7M 1s\n",
            " 18500K .......... .......... .......... .......... .......... 32% 56.4M 1s\n",
            " 18550K .......... .......... .......... .......... .......... 32% 57.0M 1s\n",
            " 18600K .......... .......... .......... .......... .......... 32% 77.7M 1s\n",
            " 18650K .......... .......... .......... .......... .......... 32% 76.9M 1s\n",
            " 18700K .......... .......... .......... .......... .......... 32%  169M 1s\n",
            " 18750K .......... .......... .......... .......... .......... 32% 60.6M 1s\n",
            " 18800K .......... .......... .......... .......... .......... 33%  109M 1s\n",
            " 18850K .......... .......... .......... .......... .......... 33% 48.3M 1s\n",
            " 18900K .......... .......... .......... .......... .......... 33%  205M 1s\n",
            " 18950K .......... .......... .......... .......... .......... 33% 93.1M 1s\n",
            " 19000K .......... .......... .......... .......... .......... 33% 51.2M 1s\n",
            " 19050K .......... .......... .......... .......... .......... 33% 58.1M 1s\n",
            " 19100K .......... .......... .......... .......... .......... 33%  224M 1s\n",
            " 19150K .......... .......... .......... .......... .......... 33%  176M 1s\n",
            " 19200K .......... .......... .......... .......... .......... 33% 92.0M 1s\n",
            " 19250K .......... .......... .......... .......... .......... 33%  136M 1s\n",
            " 19300K .......... .......... .......... .......... .......... 33%  104M 1s\n",
            " 19350K .......... .......... .......... .......... .......... 33% 46.6M 1s\n",
            " 19400K .......... .......... .......... .......... .......... 34%  208M 1s\n",
            " 19450K .......... .......... .......... .......... .......... 34%  197M 1s\n",
            " 19500K .......... .......... .......... .......... .......... 34% 44.2M 1s\n",
            " 19550K .......... .......... .......... .......... .......... 34%  139M 1s\n",
            " 19600K .......... .......... .......... .......... .......... 34%  180M 1s\n",
            " 19650K .......... .......... .......... .......... .......... 34% 54.7M 1s\n",
            " 19700K .......... .......... .......... .......... .......... 34%  166M 1s\n",
            " 19750K .......... .......... .......... .......... .......... 34% 98.5M 1s\n",
            " 19800K .......... .......... .......... .......... .......... 34%  209M 1s\n",
            " 19850K .......... .......... .......... .......... .......... 34%  192M 1s\n",
            " 19900K .......... .......... .......... .......... .......... 34%  215M 1s\n",
            " 19950K .......... .......... .......... .......... .......... 35% 48.5M 1s\n",
            " 20000K .......... .......... .......... .......... .......... 35%  232M 1s\n",
            " 20050K .......... .......... .......... .......... .......... 35%  196M 1s\n",
            " 20100K .......... .......... .......... .......... .......... 35%  190M 1s\n",
            " 20150K .......... .......... .......... .......... .......... 35% 25.7M 1s\n",
            " 20200K .......... .......... .......... .......... .......... 35%  135M 1s\n",
            " 20250K .......... .......... .......... .......... .......... 35%  158M 1s\n",
            " 20300K .......... .......... .......... .......... .......... 35% 27.2M 1s\n",
            " 20350K .......... .......... .......... .......... .......... 35% 48.1M 1s\n",
            " 20400K .......... .......... .......... .......... .......... 35%  144M 1s\n",
            " 20450K .......... .......... .......... .......... .......... 35%  118M 1s\n",
            " 20500K .......... .......... .......... .......... .......... 35%  377M 1s\n",
            " 20550K .......... .......... .......... .......... .......... 36%  320M 1s\n",
            " 20600K .......... .......... .......... .......... .......... 36%  407M 1s\n",
            " 20650K .......... .......... .......... .......... .......... 36%  416M 1s\n",
            " 20700K .......... .......... .......... .......... .......... 36%  417M 1s\n",
            " 20750K .......... .......... .......... .......... .......... 36%  202M 1s\n",
            " 20800K .......... .......... .......... .......... .......... 36%  331M 1s\n",
            " 20850K .......... .......... .......... .......... .......... 36%  411M 1s\n",
            " 20900K .......... .......... .......... .......... .......... 36%  396M 1s\n",
            " 20950K .......... .......... .......... .......... .......... 36%  347M 1s\n",
            " 21000K .......... .......... .......... .......... .......... 36%  138M 1s\n",
            " 21050K .......... .......... .......... .......... .......... 36% 70.0M 1s\n",
            " 21100K .......... .......... .......... .......... .......... 37%  242M 1s\n",
            " 21150K .......... .......... .......... .......... .......... 37% 66.1M 1s\n",
            " 21200K .......... .......... .......... .......... .......... 37% 79.5M 1s\n",
            " 21250K .......... .......... .......... .......... .......... 37% 42.8M 1s\n",
            " 21300K .......... .......... .......... .......... .......... 37%  182M 1s\n",
            " 21350K .......... .......... .......... .......... .......... 37%  190M 1s\n",
            " 21400K .......... .......... .......... .......... .......... 37%  135M 1s\n",
            " 21450K .......... .......... .......... .......... .......... 37% 60.0M 1s\n",
            " 21500K .......... .......... .......... .......... .......... 37% 55.1M 1s\n",
            " 21550K .......... .......... .......... .......... .......... 37%  209M 1s\n",
            " 21600K .......... .......... .......... .......... .......... 37% 62.2M 1s\n",
            " 21650K .......... .......... .......... .......... .......... 38% 30.9M 1s\n",
            " 21700K .......... .......... .......... .......... .......... 38%  210M 1s\n",
            " 21750K .......... .......... .......... .......... .......... 38%  133M 1s\n",
            " 21800K .......... .......... .......... .......... .......... 38%  233M 1s\n",
            " 21850K .......... .......... .......... .......... .......... 38% 32.3M 1s\n",
            " 21900K .......... .......... .......... .......... .......... 38%  241M 1s\n",
            " 21950K .......... .......... .......... .......... .......... 38% 43.5M 1s\n",
            " 22000K .......... .......... .......... .......... .......... 38%  156M 1s\n",
            " 22050K .......... .......... .......... .......... .......... 38%  232M 1s\n",
            " 22100K .......... .......... .......... .......... .......... 38% 56.0M 1s\n",
            " 22150K .......... .......... .......... .......... .......... 38%  194M 1s\n",
            " 22200K .......... .......... .......... .......... .......... 38%  109M 1s\n",
            " 22250K .......... .......... .......... .......... .......... 39%  123M 1s\n",
            " 22300K .......... .......... .......... .......... .......... 39%  237M 1s\n",
            " 22350K .......... .......... .......... .......... .......... 39% 32.3M 1s\n",
            " 22400K .......... .......... .......... .......... .......... 39%  246M 1s\n",
            " 22450K .......... .......... .......... .......... .......... 39% 46.6M 1s\n",
            " 22500K .......... .......... .......... .......... .......... 39%  166M 1s\n",
            " 22550K .......... .......... .......... .......... .......... 39%  115M 1s\n",
            " 22600K .......... .......... .......... .......... .......... 39%  201M 1s\n",
            " 22650K .......... .......... .......... .......... .......... 39% 83.0M 1s\n",
            " 22700K .......... .......... .......... .......... .......... 39%  145M 1s\n",
            " 22750K .......... .......... .......... .......... .......... 39%  198M 1s\n",
            " 22800K .......... .......... .......... .......... .......... 40% 92.6M 1s\n",
            " 22850K .......... .......... .......... .......... .......... 40%  148M 1s\n",
            " 22900K .......... .......... .......... .......... .......... 40%  232M 1s\n",
            " 22950K .......... .......... .......... .......... .......... 40% 54.7M 1s\n",
            " 23000K .......... .......... .......... .......... .......... 40%  164M 1s\n",
            " 23050K .......... .......... .......... .......... .......... 40%  115M 1s\n",
            " 23100K .......... .......... .......... .......... .......... 40%  237M 1s\n",
            " 23150K .......... .......... .......... .......... .......... 40% 42.3M 1s\n",
            " 23200K .......... .......... .......... .......... .......... 40% 54.0M 1s\n",
            " 23250K .......... .......... .......... .......... .......... 40%  251M 1s\n",
            " 23300K .......... .......... .......... .......... .......... 40% 96.5M 1s\n",
            " 23350K .......... .......... .......... .......... .......... 40% 37.8M 1s\n",
            " 23400K .......... .......... .......... .......... .......... 41% 45.7M 1s\n",
            " 23450K .......... .......... .......... .......... .......... 41%  157M 1s\n",
            " 23500K .......... .......... .......... .......... .......... 41%  143M 1s\n",
            " 23550K .......... .......... .......... .......... .......... 41%  217M 1s\n",
            " 23600K .......... .......... .......... .......... .......... 41% 58.1M 1s\n",
            " 23650K .......... .......... .......... .......... .......... 41% 72.8M 1s\n",
            " 23700K .......... .......... .......... .......... .......... 41%  214M 1s\n",
            " 23750K .......... .......... .......... .......... .......... 41%  206M 1s\n",
            " 23800K .......... .......... .......... .......... .......... 41%  251M 1s\n",
            " 23850K .......... .......... .......... .......... .......... 41%  236M 1s\n",
            " 23900K .......... .......... .......... .......... .......... 41%  173M 1s\n",
            " 23950K .......... .......... .......... .......... .......... 42% 29.8M 1s\n",
            " 24000K .......... .......... .......... .......... .......... 42% 96.8M 1s\n",
            " 24050K .......... .......... .......... .......... .......... 42%  129M 1s\n",
            " 24100K .......... .......... .......... .......... .......... 42%  220M 1s\n",
            " 24150K .......... .......... .......... .......... .......... 42%  101M 1s\n",
            " 24200K .......... .......... .......... .......... .......... 42%  248M 1s\n",
            " 24250K .......... .......... .......... .......... .......... 42%  244M 1s\n",
            " 24300K .......... .......... .......... .......... .......... 42%  246M 1s\n",
            " 24350K .......... .......... .......... .......... .......... 42%  208M 1s\n",
            " 24400K .......... .......... .......... .......... .......... 42%  244M 1s\n",
            " 24450K .......... .......... .......... .......... .......... 42%  293M 1s\n",
            " 24500K .......... .......... .......... .......... .......... 42% 87.7M 1s\n",
            " 24550K .......... .......... .......... .......... .......... 43%  187M 1s\n",
            " 24600K .......... .......... .......... .......... .......... 43% 24.5M 1s\n",
            " 24650K .......... .......... .......... .......... .......... 43%  149M 1s\n",
            " 24700K .......... .......... .......... .......... .......... 43%  241M 1s\n",
            " 24750K .......... .......... .......... .......... .......... 43% 78.9M 1s\n",
            " 24800K .......... .......... .......... .......... .......... 43% 33.3M 1s\n",
            " 24850K .......... .......... .......... .......... .......... 43%  239M 1s\n",
            " 24900K .......... .......... .......... .......... .......... 43% 40.4M 1s\n",
            " 24950K .......... .......... .......... .......... .......... 43%  206M 1s\n",
            " 25000K .......... .......... .......... .......... .......... 43% 1.68M 1s\n",
            " 25050K .......... .......... .......... .......... .......... 43%  217M 1s\n",
            " 25100K .......... .......... .......... .......... .......... 44%  219M 1s\n",
            " 25150K .......... .......... .......... .......... .......... 44%  221M 1s\n",
            " 25200K .......... .......... .......... .......... .......... 44% 18.0M 1s\n",
            " 25250K .......... .......... .......... .......... .......... 44% 71.3M 1s\n",
            " 25300K .......... .......... .......... .......... .......... 44% 87.8M 1s\n",
            " 25350K .......... .......... .......... .......... .......... 44% 74.6M 1s\n",
            " 25400K .......... .......... .......... .......... .......... 44% 70.2M 1s\n",
            " 25450K .......... .......... .......... .......... .......... 44% 94.8M 1s\n",
            " 25500K .......... .......... .......... .......... .......... 44%  236M 1s\n",
            " 25550K .......... .......... .......... .......... .......... 44%  216M 1s\n",
            " 25600K .......... .......... .......... .......... .......... 44%  241M 1s\n",
            " 25650K .......... .......... .......... .......... .......... 45%  228M 1s\n",
            " 25700K .......... .......... .......... .......... .......... 45%  238M 1s\n",
            " 25750K .......... .......... .......... .......... .......... 45%  202M 1s\n",
            " 25800K .......... .......... .......... .......... .......... 45%  242M 1s\n",
            " 25850K .......... .......... .......... .......... .......... 45%  233M 1s\n",
            " 25900K .......... .......... .......... .......... .......... 45%  229M 1s\n",
            " 25950K .......... .......... .......... .......... .......... 45%  217M 1s\n",
            " 26000K .......... .......... .......... .......... .......... 45%  241M 1s\n",
            " 26050K .......... .......... .......... .......... .......... 45%  234M 1s\n",
            " 26100K .......... .......... .......... .......... .......... 45%  231M 1s\n",
            " 26150K .......... .......... .......... .......... .......... 45% 2.37M 1s\n",
            " 26200K .......... .......... .......... .......... .......... 45% 50.7M 1s\n",
            " 26250K .......... .......... .......... .......... .......... 46% 55.9M 1s\n",
            " 26300K .......... .......... .......... .......... .......... 46% 78.0M 1s\n",
            " 26350K .......... .......... .......... .......... .......... 46% 88.9M 1s\n",
            " 26400K .......... .......... .......... .......... .......... 46% 59.9M 1s\n",
            " 26450K .......... .......... .......... .......... .......... 46%  103M 1s\n",
            " 26500K .......... .......... .......... .......... .......... 46% 76.7M 1s\n",
            " 26550K .......... .......... .......... .......... .......... 46% 69.3M 1s\n",
            " 26600K .......... .......... .......... .......... .......... 46% 77.2M 1s\n",
            " 26650K .......... .......... .......... .......... .......... 46% 80.2M 1s\n",
            " 26700K .......... .......... .......... .......... .......... 46%  103M 1s\n",
            " 26750K .......... .......... .......... .......... .......... 46% 86.2M 1s\n",
            " 26800K .......... .......... .......... .......... .......... 47%  111M 1s\n",
            " 26850K .......... .......... .......... .......... .......... 47%  234M 1s\n",
            " 26900K .......... .......... .......... .......... .......... 47%  248M 1s\n",
            " 26950K .......... .......... .......... .......... .......... 47%  205M 1s\n",
            " 27000K .......... .......... .......... .......... .......... 47%  239M 1s\n",
            " 27050K .......... .......... .......... .......... .......... 47%  224M 1s\n",
            " 27100K .......... .......... .......... .......... .......... 47%  240M 1s\n",
            " 27150K .......... .......... .......... .......... .......... 47%  217M 1s\n",
            " 27200K .......... .......... .......... .......... .......... 47%  249M 1s\n",
            " 27250K .......... .......... .......... .......... .......... 47%  240M 1s\n",
            " 27300K .......... .......... .......... .......... .......... 47%  231M 1s\n",
            " 27350K .......... .......... .......... .......... .......... 47%  197M 1s\n",
            " 27400K .......... .......... .......... .......... .......... 48%  241M 1s\n",
            " 27450K .......... .......... .......... .......... .......... 48%  246M 1s\n",
            " 27500K .......... .......... .......... .......... .......... 48%  236M 1s\n",
            " 27550K .......... .......... .......... .......... .......... 48%  208M 1s\n",
            " 27600K .......... .......... .......... .......... .......... 48%  246M 1s\n",
            " 27650K .......... .......... .......... .......... .......... 48%  244M 1s\n",
            " 27700K .......... .......... .......... .......... .......... 48%  250M 1s\n",
            " 27750K .......... .......... .......... .......... .......... 48%  196M 1s\n",
            " 27800K .......... .......... .......... .......... .......... 48%  229M 1s\n",
            " 27850K .......... .......... .......... .......... .......... 48%  240M 1s\n",
            " 27900K .......... .......... .......... .......... .......... 48%  241M 1s\n",
            " 27950K .......... .......... .......... .......... .......... 49%  215M 1s\n",
            " 28000K .......... .......... .......... .......... .......... 49%  229M 1s\n",
            " 28050K .......... .......... .......... .......... .......... 49%  243M 1s\n",
            " 28100K .......... .......... .......... .......... .......... 49%  241M 1s\n",
            " 28150K .......... .......... .......... .......... .......... 49%  196M 1s\n",
            " 28200K .......... .......... .......... .......... .......... 49%  238M 1s\n",
            " 28250K .......... .......... .......... .......... .......... 49%  225M 1s\n",
            " 28300K .......... .......... .......... .......... .......... 49%  245M 1s\n",
            " 28350K .......... .......... .......... .......... .......... 49%  213M 1s\n",
            " 28400K .......... .......... .......... .......... .......... 49%  242M 1s\n",
            " 28450K .......... .......... .......... .......... .......... 49%  243M 1s\n",
            " 28500K .......... .......... .......... .......... .......... 50%  234M 1s\n",
            " 28550K .......... .......... .......... .......... .......... 50%  204M 1s\n",
            " 28600K .......... .......... .......... .......... .......... 50%  238M 1s\n",
            " 28650K .......... .......... .......... .......... .......... 50% 3.45M 1s\n",
            " 28700K .......... .......... .......... .......... .......... 50% 82.6M 1s\n",
            " 28750K .......... .......... .......... .......... .......... 50% 79.2M 1s\n",
            " 28800K .......... .......... .......... .......... .......... 50%  202M 1s\n",
            " 28850K .......... .......... .......... .......... .......... 50%  244M 1s\n",
            " 28900K .......... .......... .......... .......... .......... 50%  247M 1s\n",
            " 28950K .......... .......... .......... .......... .......... 50%  137M 1s\n",
            " 29000K .......... .......... .......... .......... .......... 50%  224M 1s\n",
            " 29050K .......... .......... .......... .......... .......... 50%  248M 1s\n",
            " 29100K .......... .......... .......... .......... .......... 51% 15.1M 1s\n",
            " 29150K .......... .......... .......... .......... .......... 51% 60.2M 1s\n",
            " 29200K .......... .......... .......... .......... .......... 51% 71.7M 1s\n",
            " 29250K .......... .......... .......... .......... .......... 51% 92.3M 1s\n",
            " 29300K .......... .......... .......... .......... .......... 51% 99.2M 1s\n",
            " 29350K .......... .......... .......... .......... .......... 51% 54.2M 0s\n",
            " 29400K .......... .......... .......... .......... .......... 51%  131M 0s\n",
            " 29450K .......... .......... .......... .......... .......... 51%  212M 0s\n",
            " 29500K .......... .......... .......... .......... .......... 51%  212M 0s\n",
            " 29550K .......... .......... .......... .......... .......... 51%  215M 0s\n",
            " 29600K .......... .......... .......... .......... .......... 51%  268M 0s\n",
            " 29650K .......... .......... .......... .......... .......... 52%  242M 0s\n",
            " 29700K .......... .......... .......... .......... .......... 52%  257M 0s\n",
            " 29750K .......... .......... .......... .......... .......... 52%  221M 0s\n",
            " 29800K .......... .......... .......... .......... .......... 52%  243M 0s\n",
            " 29850K .......... .......... .......... .......... .......... 52%  271M 0s\n",
            " 29900K .......... .......... .......... .......... .......... 52%  277M 0s\n",
            " 29950K .......... .......... .......... .......... .......... 52%  244M 0s\n",
            " 30000K .......... .......... .......... .......... .......... 52%  238M 0s\n",
            " 30050K .......... .......... .......... .......... .......... 52%  225M 0s\n",
            " 30100K .......... .......... .......... .......... .......... 52%  250M 0s\n",
            " 30150K .......... .......... .......... .......... .......... 52%  230M 0s\n",
            " 30200K .......... .......... .......... .......... .......... 52%  258M 0s\n",
            " 30250K .......... .......... .......... .......... .......... 53% 2.78M 0s\n",
            " 30300K .......... .......... .......... .......... .......... 53% 73.8M 0s\n",
            " 30350K .......... .......... .......... .......... .......... 53% 56.0M 0s\n",
            " 30400K .......... .......... .......... .......... .......... 53%  100M 0s\n",
            " 30450K .......... .......... .......... .......... .......... 53% 80.7M 0s\n",
            " 30500K .......... .......... .......... .......... .......... 53% 83.5M 0s\n",
            " 30550K .......... .......... .......... .......... .......... 53% 67.1M 0s\n",
            " 30600K .......... .......... .......... .......... .......... 53%  106M 0s\n",
            " 30650K .......... .......... .......... .......... .......... 53%  211M 0s\n",
            " 30700K .......... .......... .......... .......... .......... 53%  217M 0s\n",
            " 30750K .......... .......... .......... .......... .......... 53%  201M 0s\n",
            " 30800K .......... .......... .......... .......... .......... 54%  226M 0s\n",
            " 30850K .......... .......... .......... .......... .......... 54%  220M 0s\n",
            " 30900K .......... .......... .......... .......... .......... 54% 56.4M 0s\n",
            " 30950K .......... .......... .......... .......... .......... 54% 59.1M 0s\n",
            " 31000K .......... .......... .......... .......... .......... 54% 63.1M 0s\n",
            " 31050K .......... .......... .......... .......... .......... 54%  146M 0s\n",
            " 31100K .......... .......... .......... .......... .......... 54%  106M 0s\n",
            " 31150K .......... .......... .......... .......... .......... 54%  214M 0s\n",
            " 31200K .......... .......... .......... .......... .......... 54%  106M 0s\n",
            " 31250K .......... .......... .......... .......... .......... 54%  225M 0s\n",
            " 31300K .......... .......... .......... .......... .......... 54%  208M 0s\n",
            " 31350K .......... .......... .......... .......... .......... 54%  190M 0s\n",
            " 31400K .......... .......... .......... .......... .......... 55%  232M 0s\n",
            " 31450K .......... .......... .......... .......... .......... 55%  220M 0s\n",
            " 31500K .......... .......... .......... .......... .......... 55%  213M 0s\n",
            " 31550K .......... .......... .......... .......... .......... 55%  206M 0s\n",
            " 31600K .......... .......... .......... .......... .......... 55%  235M 0s\n",
            " 31650K .......... .......... .......... .......... .......... 55%  229M 0s\n",
            " 31700K .......... .......... .......... .......... .......... 55%  217M 0s\n",
            " 31750K .......... .......... .......... .......... .......... 55%  172M 0s\n",
            " 31800K .......... .......... .......... .......... .......... 55%  227M 0s\n",
            " 31850K .......... .......... .......... .......... .......... 55%  231M 0s\n",
            " 31900K .......... .......... .......... .......... .......... 55%  227M 0s\n",
            " 31950K .......... .......... .......... .......... .......... 56%  195M 0s\n",
            " 32000K .......... .......... .......... .......... .......... 56%  240M 0s\n",
            " 32050K .......... .......... .......... .......... .......... 56%  239M 0s\n",
            " 32100K .......... .......... .......... .......... .......... 56%  248M 0s\n",
            " 32150K .......... .......... .......... .......... .......... 56%  172M 0s\n",
            " 32200K .......... .......... .......... .......... .......... 56%  233M 0s\n",
            " 32250K .......... .......... .......... .......... .......... 56%  220M 0s\n",
            " 32300K .......... .......... .......... .......... .......... 56%  204M 0s\n",
            " 32350K .......... .......... .......... .......... .......... 56%  188M 0s\n",
            " 32400K .......... .......... .......... .......... .......... 56%  208M 0s\n",
            " 32450K .......... .......... .......... .......... .......... 56%  209M 0s\n",
            " 32500K .......... .......... .......... .......... .......... 57%  227M 0s\n",
            " 32550K .......... .......... .......... .......... .......... 57%  191M 0s\n",
            " 32600K .......... .......... .......... .......... .......... 57% 3.36M 0s\n",
            " 32650K .......... .......... .......... .......... .......... 57%  134M 0s\n",
            " 32700K .......... .......... .......... .......... .......... 57%  222M 0s\n",
            " 32750K .......... .......... .......... .......... .......... 57%  201M 0s\n",
            " 32800K .......... .......... .......... .......... .......... 57%  219M 0s\n",
            " 32850K .......... .......... .......... .......... .......... 57%  252M 0s\n",
            " 32900K .......... .......... .......... .......... .......... 57%  222M 0s\n",
            " 32950K .......... .......... .......... .......... .......... 57%  182M 0s\n",
            " 33000K .......... .......... .......... .......... .......... 57%  185M 0s\n",
            " 33050K .......... .......... .......... .......... .......... 57%  216M 0s\n",
            " 33100K .......... .......... .......... .......... .......... 58%  217M 0s\n",
            " 33150K .......... .......... .......... .......... .......... 58% 62.5M 0s\n",
            " 33200K .......... .......... .......... .......... .......... 58% 33.3M 0s\n",
            " 33250K .......... .......... .......... .......... .......... 58%  127M 0s\n",
            " 33300K .......... .......... .......... .......... .......... 58%  213M 0s\n",
            " 33350K .......... .......... .......... .......... .......... 58%  212M 0s\n",
            " 33400K .......... .......... .......... .......... .......... 58%  222M 0s\n",
            " 33450K .......... .......... .......... .......... .......... 58%  206M 0s\n",
            " 33500K .......... .......... .......... .......... .......... 58%  231M 0s\n",
            " 33550K .......... .......... .......... .......... .......... 58%  215M 0s\n",
            " 33600K .......... .......... .......... .......... .......... 58%  217M 0s\n",
            " 33650K .......... .......... .......... .......... .......... 59%  198M 0s\n",
            " 33700K .......... .......... .......... .......... .......... 59%  214M 0s\n",
            " 33750K .......... .......... .......... .......... .......... 59%  160M 0s\n",
            " 33800K .......... .......... .......... .......... .......... 59%  235M 0s\n",
            " 33850K .......... .......... .......... .......... .......... 59%  205M 0s\n",
            " 33900K .......... .......... .......... .......... .......... 59%  226M 0s\n",
            " 33950K .......... .......... .......... .......... .......... 59%  181M 0s\n",
            " 34000K .......... .......... .......... .......... .......... 59%  248M 0s\n",
            " 34050K .......... .......... .......... .......... .......... 59%  202M 0s\n",
            " 34100K .......... .......... .......... .......... .......... 59%  224M 0s\n",
            " 34150K .......... .......... .......... .......... .......... 59%  218M 0s\n",
            " 34200K .......... .......... .......... .......... .......... 59%  235M 0s\n",
            " 34250K .......... .......... .......... .......... .......... 60%  176M 0s\n",
            " 34300K .......... .......... .......... .......... .......... 60%  235M 0s\n",
            " 34350K .......... .......... .......... .......... .......... 60%  238M 0s\n",
            " 34400K .......... .......... .......... .......... .......... 60%  233M 0s\n",
            " 34450K .......... .......... .......... .......... .......... 60%  215M 0s\n",
            " 34500K .......... .......... .......... .......... .......... 60%  228M 0s\n",
            " 34550K .......... .......... .......... .......... .......... 60% 2.46M 0s\n",
            " 34600K .......... .......... .......... .......... .......... 60%  196M 0s\n",
            " 34650K .......... .......... .......... .......... .......... 60%  204M 0s\n",
            " 34700K .......... .......... .......... .......... .......... 60%  216M 0s\n",
            " 34750K .......... .......... .......... .......... .......... 60%  186M 0s\n",
            " 34800K .......... .......... .......... .......... .......... 61%  207M 0s\n",
            " 34850K .......... .......... .......... .......... .......... 61%  216M 0s\n",
            " 34900K .......... .......... .......... .......... .......... 61%  216M 0s\n",
            " 34950K .......... .......... .......... .......... .......... 61%  164M 0s\n",
            " 35000K .......... .......... .......... .......... .......... 61%  215M 0s\n",
            " 35050K .......... .......... .......... .......... .......... 61%  217M 0s\n",
            " 35100K .......... .......... .......... .......... .......... 61%  220M 0s\n",
            " 35150K .......... .......... .......... .......... .......... 61%  197M 0s\n",
            " 35200K .......... .......... .......... .......... .......... 61%  201M 0s\n",
            " 35250K .......... .......... .......... .......... .......... 61%  220M 0s\n",
            " 35300K .......... .......... .......... .......... .......... 61%  216M 0s\n",
            " 35350K .......... .......... .......... .......... .......... 61%  172M 0s\n",
            " 35400K .......... .......... .......... .......... .......... 62%  227M 0s\n",
            " 35450K .......... .......... .......... .......... .......... 62%  207M 0s\n",
            " 35500K .......... .......... .......... .......... .......... 62%  229M 0s\n",
            " 35550K .......... .......... .......... .......... .......... 62%  185M 0s\n",
            " 35600K .......... .......... .......... .......... .......... 62%  192M 0s\n",
            " 35650K .......... .......... .......... .......... .......... 62%  210M 0s\n",
            " 35700K .......... .......... .......... .......... .......... 62%  195M 0s\n",
            " 35750K .......... .......... .......... .......... .......... 62%  202M 0s\n",
            " 35800K .......... .......... .......... .......... .......... 62%  212M 0s\n",
            " 35850K .......... .......... .......... .......... .......... 62%  205M 0s\n",
            " 35900K .......... .......... .......... .......... .......... 62%  212M 0s\n",
            " 35950K .......... .......... .......... .......... .......... 63%  199M 0s\n",
            " 36000K .......... .......... .......... .......... .......... 63%  203M 0s\n",
            " 36050K .......... .......... .......... .......... .......... 63%  224M 0s\n",
            " 36100K .......... .......... .......... .......... .......... 63%  225M 0s\n",
            " 36150K .......... .......... .......... .......... .......... 63%  169M 0s\n",
            " 36200K .......... .......... .......... .......... .......... 63%  231M 0s\n",
            " 36250K .......... .......... .......... .......... .......... 63%  207M 0s\n",
            " 36300K .......... .......... .......... .......... .......... 63%  224M 0s\n",
            " 36350K .......... .......... .......... .......... .......... 63%  198M 0s\n",
            " 36400K .......... .......... .......... .......... .......... 63%  209M 0s\n",
            " 36450K .......... .......... .......... .......... .......... 63%  222M 0s\n",
            " 36500K .......... .......... .......... .......... .......... 64%  217M 0s\n",
            " 36550K .......... .......... .......... .......... .......... 64%  195M 0s\n",
            " 36600K .......... .......... .......... .......... .......... 64%  213M 0s\n",
            " 36650K .......... .......... .......... .......... .......... 64%  229M 0s\n",
            " 36700K .......... .......... .......... .......... .......... 64%  240M 0s\n",
            " 36750K .......... .......... .......... .......... .......... 64%  213M 0s\n",
            " 36800K .......... .......... .......... .......... .......... 64%  245M 0s\n",
            " 36850K .......... .......... .......... .......... .......... 64%  241M 0s\n",
            " 36900K .......... .......... .......... .......... .......... 64%  226M 0s\n",
            " 36950K .......... .......... .......... .......... .......... 64%  197M 0s\n",
            " 37000K .......... .......... .......... .......... .......... 64%  230M 0s\n",
            " 37050K .......... .......... .......... .......... .......... 64%  234M 0s\n",
            " 37100K .......... .......... .......... .......... .......... 65%  217M 0s\n",
            " 37150K .......... .......... .......... .......... .......... 65%  204M 0s\n",
            " 37200K .......... .......... .......... .......... .......... 65%  236M 0s\n",
            " 37250K .......... .......... .......... .......... .......... 65%  249M 0s\n",
            " 37300K .......... .......... .......... .......... .......... 65%  245M 0s\n",
            " 37350K .......... .......... .......... .......... .......... 65%  194M 0s\n",
            " 37400K .......... .......... .......... .......... .......... 65% 2.81M 0s\n",
            " 37450K .......... .......... .......... .......... .......... 65%  234M 0s\n",
            " 37500K .......... .......... .......... .......... .......... 65%  209M 0s\n",
            " 37550K .......... .......... .......... .......... .......... 65%  167M 0s\n",
            " 37600K .......... .......... .......... .......... .......... 65%  182M 0s\n",
            " 37650K .......... .......... .......... .......... .......... 66%  214M 0s\n",
            " 37700K .......... .......... .......... .......... .......... 66%  228M 0s\n",
            " 37750K .......... .......... .......... .......... .......... 66%  171M 0s\n",
            " 37800K .......... .......... .......... .......... .......... 66%  202M 0s\n",
            " 37850K .......... .......... .......... .......... .......... 66%  208M 0s\n",
            " 37900K .......... .......... .......... .......... .......... 66%  224M 0s\n",
            " 37950K .......... .......... .......... .......... .......... 66%  185M 0s\n",
            " 38000K .......... .......... .......... .......... .......... 66%  215M 0s\n",
            " 38050K .......... .......... .......... .......... .......... 66%  252M 0s\n",
            " 38100K .......... .......... .......... .......... .......... 66%  217M 0s\n",
            " 38150K .......... .......... .......... .......... .......... 66%  167M 0s\n",
            " 38200K .......... .......... .......... .......... .......... 66%  235M 0s\n",
            " 38250K .......... .......... .......... .......... .......... 67%  229M 0s\n",
            " 38300K .......... .......... .......... .......... .......... 67%  238M 0s\n",
            " 38350K .......... .......... .......... .......... .......... 67%  213M 0s\n",
            " 38400K .......... .......... .......... .......... .......... 67%  225M 0s\n",
            " 38450K .......... .......... .......... .......... .......... 67%  210M 0s\n",
            " 38500K .......... .......... .......... .......... .......... 67%  203M 0s\n",
            " 38550K .......... .......... .......... .......... .......... 67%  187M 0s\n",
            " 38600K .......... .......... .......... .......... .......... 67%  213M 0s\n",
            " 38650K .......... .......... .......... .......... .......... 67%  226M 0s\n",
            " 38700K .......... .......... .......... .......... .......... 67%  236M 0s\n",
            " 38750K .......... .......... .......... .......... .......... 67%  194M 0s\n",
            " 38800K .......... .......... .......... .......... .......... 68%  233M 0s\n",
            " 38850K .......... .......... .......... .......... .......... 68%  223M 0s\n",
            " 38900K .......... .......... .......... .......... .......... 68%  251M 0s\n",
            " 38950K .......... .......... .......... .......... .......... 68%  169M 0s\n",
            " 39000K .......... .......... .......... .......... .......... 68%  243M 0s\n",
            " 39050K .......... .......... .......... .......... .......... 68%  233M 0s\n",
            " 39100K .......... .......... .......... .......... .......... 68%  234M 0s\n",
            " 39150K .......... .......... .......... .......... .......... 68%  214M 0s\n",
            " 39200K .......... .......... .......... .......... .......... 68%  242M 0s\n",
            " 39250K .......... .......... .......... .......... .......... 68% 74.3M 0s\n",
            " 39300K .......... .......... .......... .......... .......... 68%  221M 0s\n",
            " 39350K .......... .......... .......... .......... .......... 69%  190M 0s\n",
            " 39400K .......... .......... .......... .......... .......... 69%  203M 0s\n",
            " 39450K .......... .......... .......... .......... .......... 69%  168M 0s\n",
            " 39500K .......... .......... .......... .......... .......... 69%  231M 0s\n",
            " 39550K .......... .......... .......... .......... .......... 69%  195M 0s\n",
            " 39600K .......... .......... .......... .......... .......... 69%  212M 0s\n",
            " 39650K .......... .......... .......... .......... .......... 69%  220M 0s\n",
            " 39700K .......... .......... .......... .......... .......... 69%  240M 0s\n",
            " 39750K .......... .......... .......... .......... .......... 69%  204M 0s\n",
            " 39800K .......... .......... .......... .......... .......... 69% 2.55M 0s\n",
            " 39850K .......... .......... .......... .......... .......... 69%  177M 0s\n",
            " 39900K .......... .......... .......... .......... .......... 69%  222M 0s\n",
            " 39950K .......... .......... .......... .......... .......... 70%  217M 0s\n",
            " 40000K .......... .......... .......... .......... .......... 70% 6.87M 0s\n",
            " 40050K .......... .......... .......... .......... .......... 70%  183M 0s\n",
            " 40100K .......... .......... .......... .......... .......... 70%  207M 0s\n",
            " 40150K .......... .......... .......... .......... .......... 70%  163M 0s\n",
            " 40200K .......... .......... .......... .......... .......... 70%  238M 0s\n",
            " 40250K .......... .......... .......... .......... .......... 70%  224M 0s\n",
            " 40300K .......... .......... .......... .......... .......... 70%  226M 0s\n",
            " 40350K .......... .......... .......... .......... .......... 70%  207M 0s\n",
            " 40400K .......... .......... .......... .......... .......... 70%  226M 0s\n",
            " 40450K .......... .......... .......... .......... .......... 70%  224M 0s\n",
            " 40500K .......... .......... .......... .......... .......... 71%  222M 0s\n",
            " 40550K .......... .......... .......... .......... .......... 71%  190M 0s\n",
            " 40600K .......... .......... .......... .......... .......... 71%  214M 0s\n",
            " 40650K .......... .......... .......... .......... .......... 71%  230M 0s\n",
            " 40700K .......... .......... .......... .......... .......... 71%  203M 0s\n",
            " 40750K .......... .......... .......... .......... .......... 71%  168M 0s\n",
            " 40800K .......... .......... .......... .......... .......... 71%  153M 0s\n",
            " 40850K .......... .......... .......... .......... .......... 71%  226M 0s\n",
            " 40900K .......... .......... .......... .......... .......... 71%  198M 0s\n",
            " 40950K .......... .......... .......... .......... .......... 71%  191M 0s\n",
            " 41000K .......... .......... .......... .......... .......... 71%  224M 0s\n",
            " 41050K .......... .......... .......... .......... .......... 71%  242M 0s\n",
            " 41100K .......... .......... .......... .......... .......... 72%  242M 0s\n",
            " 41150K .......... .......... .......... .......... .......... 72%  211M 0s\n",
            " 41200K .......... .......... .......... .......... .......... 72%  240M 0s\n",
            " 41250K .......... .......... .......... .......... .......... 72%  239M 0s\n",
            " 41300K .......... .......... .......... .......... .......... 72%  240M 0s\n",
            " 41350K .......... .......... .......... .......... .......... 72%  197M 0s\n",
            " 41400K .......... .......... .......... .......... .......... 72% 2.96M 0s\n",
            " 41450K .......... .......... .......... .......... .......... 72%  169M 0s\n",
            " 41500K .......... .......... .......... .......... .......... 72%  204M 0s\n",
            " 41550K .......... .......... .......... .......... .......... 72%  181M 0s\n",
            " 41600K .......... .......... .......... .......... .......... 72%  222M 0s\n",
            " 41650K .......... .......... .......... .......... .......... 73%  220M 0s\n",
            " 41700K .......... .......... .......... .......... .......... 73%  208M 0s\n",
            " 41750K .......... .......... .......... .......... .......... 73%  168M 0s\n",
            " 41800K .......... .......... .......... .......... .......... 73%  207M 0s\n",
            " 41850K .......... .......... .......... .......... .......... 73%  242M 0s\n",
            " 41900K .......... .......... .......... .......... .......... 73%  221M 0s\n",
            " 41950K .......... .......... .......... .......... .......... 73%  203M 0s\n",
            " 42000K .......... .......... .......... .......... .......... 73%  207M 0s\n",
            " 42050K .......... .......... .......... .......... .......... 73%  198M 0s\n",
            " 42100K .......... .......... .......... .......... .......... 73%  218M 0s\n",
            " 42150K .......... .......... .......... .......... .......... 73%  183M 0s\n",
            " 42200K .......... .......... .......... .......... .......... 73%  231M 0s\n",
            " 42250K .......... .......... .......... .......... .......... 74%  247M 0s\n",
            " 42300K .......... .......... .......... .......... .......... 74%  247M 0s\n",
            " 42350K .......... .......... .......... .......... .......... 74%  196M 0s\n",
            " 42400K .......... .......... .......... .......... .......... 74%  245M 0s\n",
            " 42450K .......... .......... .......... .......... .......... 74%  231M 0s\n",
            " 42500K .......... .......... .......... .......... .......... 74% 17.6M 0s\n",
            " 42550K .......... .......... .......... .......... .......... 74%  184M 0s\n",
            " 42600K .......... .......... .......... .......... .......... 74%  242M 0s\n",
            " 42650K .......... .......... .......... .......... .......... 74%  233M 0s\n",
            " 42700K .......... .......... .......... .......... .......... 74%  215M 0s\n",
            " 42750K .......... .......... .......... .......... .......... 74%  202M 0s\n",
            " 42800K .......... .......... .......... .......... .......... 75%  221M 0s\n",
            " 42850K .......... .......... .......... .......... .......... 75%  212M 0s\n",
            " 42900K .......... .......... .......... .......... .......... 75%  227M 0s\n",
            " 42950K .......... .......... .......... .......... .......... 75%  185M 0s\n",
            " 43000K .......... .......... .......... .......... .......... 75%  210M 0s\n",
            " 43050K .......... .......... .......... .......... .......... 75%  224M 0s\n",
            " 43100K .......... .......... .......... .......... .......... 75%  231M 0s\n",
            " 43150K .......... .......... .......... .......... .......... 75%  188M 0s\n",
            " 43200K .......... .......... .......... .......... .......... 75%  240M 0s\n",
            " 43250K .......... .......... .......... .......... .......... 75%  144M 0s\n",
            " 43300K .......... .......... .......... .......... .......... 75%  209M 0s\n",
            " 43350K .......... .......... .......... .......... .......... 76%  168M 0s\n",
            " 43400K .......... .......... .......... .......... .......... 76%  225M 0s\n",
            " 43450K .......... .......... .......... .......... .......... 76%  222M 0s\n",
            " 43500K .......... .......... .......... .......... .......... 76%  228M 0s\n",
            " 43550K .......... .......... .......... .......... .......... 76%  211M 0s\n",
            " 43600K .......... .......... .......... .......... .......... 76%  211M 0s\n",
            " 43650K .......... .......... .......... .......... .......... 76%  224M 0s\n",
            " 43700K .......... .......... .......... .......... .......... 76%  218M 0s\n",
            " 43750K .......... .......... .......... .......... .......... 76%  179M 0s\n",
            " 43800K .......... .......... .......... .......... .......... 76%  235M 0s\n",
            " 43850K .......... .......... .......... .......... .......... 76%  252M 0s\n",
            " 43900K .......... .......... .......... .......... .......... 76%  245M 0s\n",
            " 43950K .......... .......... .......... .......... .......... 77%  208M 0s\n",
            " 44000K .......... .......... .......... .......... .......... 77%  235M 0s\n",
            " 44050K .......... .......... .......... .......... .......... 77%  239M 0s\n",
            " 44100K .......... .......... .......... .......... .......... 77%  243M 0s\n",
            " 44150K .......... .......... .......... .......... .......... 77% 3.12M 0s\n",
            " 44200K .......... .......... .......... .......... .......... 77%  210M 0s\n",
            " 44250K .......... .......... .......... .......... .......... 77%  209M 0s\n",
            " 44300K .......... .......... .......... .......... .......... 77%  212M 0s\n",
            " 44350K .......... .......... .......... .......... .......... 77%  182M 0s\n",
            " 44400K .......... .......... .......... .......... .......... 77%  200M 0s\n",
            " 44450K .......... .......... .......... .......... .......... 77%  221M 0s\n",
            " 44500K .......... .......... .......... .......... .......... 78%  212M 0s\n",
            " 44550K .......... .......... .......... .......... .......... 78%  182M 0s\n",
            " 44600K .......... .......... .......... .......... .......... 78%  212M 0s\n",
            " 44650K .......... .......... .......... .......... .......... 78%  229M 0s\n",
            " 44700K .......... .......... .......... .......... .......... 78%  208M 0s\n",
            " 44750K .......... .......... .......... .......... .......... 78%  195M 0s\n",
            " 44800K .......... .......... .......... .......... .......... 78%  213M 0s\n",
            " 44850K .......... .......... .......... .......... .......... 78%  197M 0s\n",
            " 44900K .......... .......... .......... .......... .......... 78%  238M 0s\n",
            " 44950K .......... .......... .......... .......... .......... 78%  201M 0s\n",
            " 45000K .......... .......... .......... .......... .......... 78%  235M 0s\n",
            " 45050K .......... .......... .......... .......... .......... 78%  240M 0s\n",
            " 45100K .......... .......... .......... .......... .......... 79%  215M 0s\n",
            " 45150K .......... .......... .......... .......... .......... 79%  171M 0s\n",
            " 45200K .......... .......... .......... .......... .......... 79%  217M 0s\n",
            " 45250K .......... .......... .......... .......... .......... 79% 19.2M 0s\n",
            " 45300K .......... .......... .......... .......... .......... 79%  211M 0s\n",
            " 45350K .......... .......... .......... .......... .......... 79%  171M 0s\n",
            " 45400K .......... .......... .......... .......... .......... 79%  206M 0s\n",
            " 45450K .......... .......... .......... .......... .......... 79%  224M 0s\n",
            " 45500K .......... .......... .......... .......... .......... 79%  242M 0s\n",
            " 45550K .......... .......... .......... .......... .......... 79%  210M 0s\n",
            " 45600K .......... .......... .......... .......... .......... 79%  243M 0s\n",
            " 45650K .......... .......... .......... .......... .......... 80% 19.9M 0s\n",
            " 45700K .......... .......... .......... .......... .......... 80%  222M 0s\n",
            " 45750K .......... .......... .......... .......... .......... 80%  169M 0s\n",
            " 45800K .......... .......... .......... .......... .......... 80%  209M 0s\n",
            " 45850K .......... .......... .......... .......... .......... 80%  245M 0s\n",
            " 45900K .......... .......... .......... .......... .......... 80% 67.8M 0s\n",
            " 45950K .......... .......... .......... .......... .......... 80%  210M 0s\n",
            " 46000K .......... .......... .......... .......... .......... 80%  197M 0s\n",
            " 46050K .......... .......... .......... .......... .......... 80%  194M 0s\n",
            " 46100K .......... .......... .......... .......... .......... 80%  181M 0s\n",
            " 46150K .......... .......... .......... .......... .......... 80%  167M 0s\n",
            " 46200K .......... .......... .......... .......... .......... 81%  223M 0s\n",
            " 46250K .......... .......... .......... .......... .......... 81%  202M 0s\n",
            " 46300K .......... .......... .......... .......... .......... 81%  209M 0s\n",
            " 46350K .......... .......... .......... .......... .......... 81%  201M 0s\n",
            " 46400K .......... .......... .......... .......... .......... 81%  222M 0s\n",
            " 46450K .......... .......... .......... .......... .......... 81%  204M 0s\n",
            " 46500K .......... .......... .......... .......... .......... 81%  219M 0s\n",
            " 46550K .......... .......... .......... .......... .......... 81%  192M 0s\n",
            " 46600K .......... .......... .......... .......... .......... 81%  242M 0s\n",
            " 46650K .......... .......... .......... .......... .......... 81%  250M 0s\n",
            " 46700K .......... .......... .......... .......... .......... 81%  232M 0s\n",
            " 46750K .......... .......... .......... .......... .......... 81%  209M 0s\n",
            " 46800K .......... .......... .......... .......... .......... 82% 3.69M 0s\n",
            " 46850K .......... .......... .......... .......... .......... 82%  205M 0s\n",
            " 46900K .......... .......... .......... .......... .......... 82%  216M 0s\n",
            " 46950K .......... .......... .......... .......... .......... 82%  190M 0s\n",
            " 47000K .......... .......... .......... .......... .......... 82%  233M 0s\n",
            " 47050K .......... .......... .......... .......... .......... 82%  204M 0s\n",
            " 47100K .......... .......... .......... .......... .......... 82%  207M 0s\n",
            " 47150K .......... .......... .......... .......... .......... 82%  195M 0s\n",
            " 47200K .......... .......... .......... .......... .......... 82%  234M 0s\n",
            " 47250K .......... .......... .......... .......... .......... 82%  233M 0s\n",
            " 47300K .......... .......... .......... .......... .......... 82%  227M 0s\n",
            " 47350K .......... .......... .......... .......... .......... 83%  127M 0s\n",
            " 47400K .......... .......... .......... .......... .......... 83%  229M 0s\n",
            " 47450K .......... .......... .......... .......... .......... 83%  198M 0s\n",
            " 47500K .......... .......... .......... .......... .......... 83%  234M 0s\n",
            " 47550K .......... .......... .......... .......... .......... 83%  202M 0s\n",
            " 47600K .......... .......... .......... .......... .......... 83%  221M 0s\n",
            " 47650K .......... .......... .......... .......... .......... 83%  238M 0s\n",
            " 47700K .......... .......... .......... .......... .......... 83%  240M 0s\n",
            " 47750K .......... .......... .......... .......... .......... 83%  194M 0s\n",
            " 47800K .......... .......... .......... .......... .......... 83%  222M 0s\n",
            " 47850K .......... .......... .......... .......... .......... 83%  237M 0s\n",
            " 47900K .......... .......... .......... .......... .......... 83%  237M 0s\n",
            " 47950K .......... .......... .......... .......... .......... 84%  217M 0s\n",
            " 48000K .......... .......... .......... .......... .......... 84% 21.7M 0s\n",
            " 48050K .......... .......... .......... .......... .......... 84%  214M 0s\n",
            " 48100K .......... .......... .......... .......... .......... 84%  246M 0s\n",
            " 48150K .......... .......... .......... .......... .......... 84%  161M 0s\n",
            " 48200K .......... .......... .......... .......... .......... 84%  190M 0s\n",
            " 48250K .......... .......... .......... .......... .......... 84%  222M 0s\n",
            " 48300K .......... .......... .......... .......... .......... 84%  236M 0s\n",
            " 48350K .......... .......... .......... .......... .......... 84%  218M 0s\n",
            " 48400K .......... .......... .......... .......... .......... 84%  237M 0s\n",
            " 48450K .......... .......... .......... .......... .......... 84%  240M 0s\n",
            " 48500K .......... .......... .......... .......... .......... 85% 25.9M 0s\n",
            " 48550K .......... .......... .......... .......... .......... 85%  175M 0s\n",
            " 48600K .......... .......... .......... .......... .......... 85%  209M 0s\n",
            " 48650K .......... .......... .......... .......... .......... 85%  213M 0s\n",
            " 48700K .......... .......... .......... .......... .......... 85%  216M 0s\n",
            " 48750K .......... .......... .......... .......... .......... 85%  207M 0s\n",
            " 48800K .......... .......... .......... .......... .......... 85%  244M 0s\n",
            " 48850K .......... .......... .......... .......... .......... 85%  222M 0s\n",
            " 48900K .......... .......... .......... .......... .......... 85%  215M 0s\n",
            " 48950K .......... .......... .......... .......... .......... 85%  180M 0s\n",
            " 49000K .......... .......... .......... .......... .......... 85%  243M 0s\n",
            " 49050K .......... .......... .......... .......... .......... 85%  205M 0s\n",
            " 49100K .......... .......... .......... .......... .......... 86%  242M 0s\n",
            " 49150K .......... .......... .......... .......... .......... 86% 27.1M 0s\n",
            " 49200K .......... .......... .......... .......... .......... 86%  222M 0s\n",
            " 49250K .......... .......... .......... .......... .......... 86%  204M 0s\n",
            " 49300K .......... .......... .......... .......... .......... 86%  222M 0s\n",
            " 49350K .......... .......... .......... .......... .......... 86%  186M 0s\n",
            " 49400K .......... .......... .......... .......... .......... 86%  211M 0s\n",
            " 49450K .......... .......... .......... .......... .......... 86%  216M 0s\n",
            " 49500K .......... .......... .......... .......... .......... 86%  204M 0s\n",
            " 49550K .......... .......... .......... .......... .......... 86%  213M 0s\n",
            " 49600K .......... .......... .......... .......... .......... 86%  244M 0s\n",
            " 49650K .......... .......... .......... .......... .......... 87% 3.90M 0s\n",
            " 49700K .......... .......... .......... .......... .......... 87%  225M 0s\n",
            " 49750K .......... .......... .......... .......... .......... 87%  192M 0s\n",
            " 49800K .......... .......... .......... .......... .......... 87%  199M 0s\n",
            " 49850K .......... .......... .......... .......... .......... 87%  208M 0s\n",
            " 49900K .......... .......... .......... .......... .......... 87%  215M 0s\n",
            " 49950K .......... .......... .......... .......... .......... 87%  211M 0s\n",
            " 50000K .......... .......... .......... .......... .......... 87%  240M 0s\n",
            " 50050K .......... .......... .......... .......... .......... 87%  218M 0s\n",
            " 50100K .......... .......... .......... .......... .......... 87%  207M 0s\n",
            " 50150K .......... .......... .......... .......... .......... 87%  177M 0s\n",
            " 50200K .......... .......... .......... .......... .......... 88%  221M 0s\n",
            " 50250K .......... .......... .......... .......... .......... 88%  214M 0s\n",
            " 50300K .......... .......... .......... .......... .......... 88%  212M 0s\n",
            " 50350K .......... .......... .......... .......... .......... 88%  202M 0s\n",
            " 50400K .......... .......... .......... .......... .......... 88%  216M 0s\n",
            " 50450K .......... .......... .......... .......... .......... 88%  211M 0s\n",
            " 50500K .......... .......... .......... .......... .......... 88%  212M 0s\n",
            " 50550K .......... .......... .......... .......... .......... 88%  197M 0s\n",
            " 50600K .......... .......... .......... .......... .......... 88%  241M 0s\n",
            " 50650K .......... .......... .......... .......... .......... 88%  233M 0s\n",
            " 50700K .......... .......... .......... .......... .......... 88% 18.3M 0s\n",
            " 50750K .......... .......... .......... .......... .......... 88%  171M 0s\n",
            " 50800K .......... .......... .......... .......... .......... 89%  203M 0s\n",
            " 50850K .......... .......... .......... .......... .......... 89%  205M 0s\n",
            " 50900K .......... .......... .......... .......... .......... 89%  210M 0s\n",
            " 50950K .......... .......... .......... .......... .......... 89%  171M 0s\n",
            " 51000K .......... .......... .......... .......... .......... 89%  210M 0s\n",
            " 51050K .......... .......... .......... .......... .......... 89%  230M 0s\n",
            " 51100K .......... .......... .......... .......... .......... 89%  236M 0s\n",
            " 51150K .......... .......... .......... .......... .......... 89%  220M 0s\n",
            " 51200K .......... .......... .......... .......... .......... 89%  244M 0s\n",
            " 51250K .......... .......... .......... .......... .......... 89%  230M 0s\n",
            " 51300K .......... .......... .......... .......... .......... 89% 40.8M 0s\n",
            " 51350K .......... .......... .......... .......... .......... 90%  190M 0s\n",
            " 51400K .......... .......... .......... .......... .......... 90%  224M 0s\n",
            " 51450K .......... .......... .......... .......... .......... 90%  207M 0s\n",
            " 51500K .......... .......... .......... .......... .......... 90%  228M 0s\n",
            " 51550K .......... .......... .......... .......... .......... 90%  196M 0s\n",
            " 51600K .......... .......... .......... .......... .......... 90%  244M 0s\n",
            " 51650K .......... .......... .......... .......... .......... 90%  244M 0s\n",
            " 51700K .......... .......... .......... .......... .......... 90%  185M 0s\n",
            " 51750K .......... .......... .......... .......... .......... 90%  177M 0s\n",
            " 51800K .......... .......... .......... .......... .......... 90%  224M 0s\n",
            " 51850K .......... .......... .......... .......... .......... 90%  247M 0s\n",
            " 51900K .......... .......... .......... .......... .......... 90%  205M 0s\n",
            " 51950K .......... .......... .......... .......... .......... 91%  187M 0s\n",
            " 52000K .......... .......... .......... .......... .......... 91%  214M 0s\n",
            " 52050K .......... .......... .......... .......... .......... 91%  237M 0s\n",
            " 52100K .......... .......... .......... .......... .......... 91%  234M 0s\n",
            " 52150K .......... .......... .......... .......... .......... 91% 44.6M 0s\n",
            " 52200K .......... .......... .......... .......... .......... 91%  162M 0s\n",
            " 52250K .......... .......... .......... .......... .......... 91%  211M 0s\n",
            " 52300K .......... .......... .......... .......... .......... 91%  243M 0s\n",
            " 52350K .......... .......... .......... .......... .......... 91%  175M 0s\n",
            " 52400K .......... .......... .......... .......... .......... 91%  216M 0s\n",
            " 52450K .......... .......... .......... .......... .......... 91%  212M 0s\n",
            " 52500K .......... .......... .......... .......... .......... 92%  221M 0s\n",
            " 52550K .......... .......... .......... .......... .......... 92%  199M 0s\n",
            " 52600K .......... .......... .......... .......... .......... 92% 3.84M 0s\n",
            " 52650K .......... .......... .......... .......... .......... 92%  209M 0s\n",
            " 52700K .......... .......... .......... .......... .......... 92%  234M 0s\n",
            " 52750K .......... .......... .......... .......... .......... 92%  176M 0s\n",
            " 52800K .......... .......... .......... .......... .......... 92%  224M 0s\n",
            " 52850K .......... .......... .......... .......... .......... 92%  234M 0s\n",
            " 52900K .......... .......... .......... .......... .......... 92%  230M 0s\n",
            " 52950K .......... .......... .......... .......... .......... 92%  150M 0s\n",
            " 53000K .......... .......... .......... .......... .......... 92%  218M 0s\n",
            " 53050K .......... .......... .......... .......... .......... 92%  215M 0s\n",
            " 53100K .......... .......... .......... .......... .......... 93%  198M 0s\n",
            " 53150K .......... .......... .......... .......... .......... 93%  198M 0s\n",
            " 53200K .......... .......... .......... .......... .......... 93%  218M 0s\n",
            " 53250K .......... .......... .......... .......... .......... 93%  224M 0s\n",
            " 53300K .......... .......... .......... .......... .......... 93%  224M 0s\n",
            " 53350K .......... .......... .......... .......... .......... 93%  173M 0s\n",
            " 53400K .......... .......... .......... .......... .......... 93%  226M 0s\n",
            " 53450K .......... .......... .......... .......... .......... 93%  245M 0s\n",
            " 53500K .......... .......... .......... .......... .......... 93%  239M 0s\n",
            " 53550K .......... .......... .......... .......... .......... 93%  136M 0s\n",
            " 53600K .......... .......... .......... .......... .......... 93% 16.9M 0s\n",
            " 53650K .......... .......... .......... .......... .......... 94%  215M 0s\n",
            " 53700K .......... .......... .......... .......... .......... 94%  230M 0s\n",
            " 53750K .......... .......... .......... .......... .......... 94%  192M 0s\n",
            " 53800K .......... .......... .......... .......... .......... 94%  220M 0s\n",
            " 53850K .......... .......... .......... .......... .......... 94%  221M 0s\n",
            " 53900K .......... .......... .......... .......... .......... 94%  231M 0s\n",
            " 53950K .......... .......... .......... .......... .......... 94%  218M 0s\n",
            " 54000K .......... .......... .......... .......... .......... 94%  230M 0s\n",
            " 54050K .......... .......... .......... .......... .......... 94%  231M 0s\n",
            " 54100K .......... .......... .......... .......... .......... 94%  229M 0s\n",
            " 54150K .......... .......... .......... .......... .......... 94% 30.2M 0s\n",
            " 54200K .......... .......... .......... .......... .......... 95%  184M 0s\n",
            " 54250K .......... .......... .......... .......... .......... 95%  217M 0s\n",
            " 54300K .......... .......... .......... .......... .......... 95%  245M 0s\n",
            " 54350K .......... .......... .......... .......... .......... 95%  217M 0s\n",
            " 54400K .......... .......... .......... .......... .......... 95%  211M 0s\n",
            " 54450K .......... .......... .......... .......... .......... 95%  233M 0s\n",
            " 54500K .......... .......... .......... .......... .......... 95%  216M 0s\n",
            " 54550K .......... .......... .......... .......... .......... 95%  196M 0s\n",
            " 54600K .......... .......... .......... .......... .......... 95%  209M 0s\n",
            " 54650K .......... .......... .......... .......... .......... 95%  218M 0s\n",
            " 54700K .......... .......... .......... .......... .......... 95%  228M 0s\n",
            " 54750K .......... .......... .......... .......... .......... 95%  209M 0s\n",
            " 54800K .......... .......... .......... .......... .......... 96%  220M 0s\n",
            " 54850K .......... .......... .......... .......... .......... 96%  239M 0s\n",
            " 54900K .......... .......... .......... .......... .......... 96%  245M 0s\n",
            " 54950K .......... .......... .......... .......... .......... 96%  203M 0s\n",
            " 55000K .......... .......... .......... .......... .......... 96%  243M 0s\n",
            " 55050K .......... .......... .......... .......... .......... 96% 89.6M 0s\n",
            " 55100K .......... .......... .......... .......... .......... 96%  231M 0s\n",
            " 55150K .......... .......... .......... .......... .......... 96% 80.8M 0s\n",
            " 55200K .......... .......... .......... .......... .......... 96%  212M 0s\n",
            " 55250K .......... .......... .......... .......... .......... 96%  212M 0s\n",
            " 55300K .......... .......... .......... .......... .......... 96%  192M 0s\n",
            " 55350K .......... .......... .......... .......... .......... 97%  174M 0s\n",
            " 55400K .......... .......... .......... .......... .......... 97%  224M 0s\n",
            " 55450K .......... .......... .......... .......... .......... 97%  252M 0s\n",
            " 55500K .......... .......... .......... .......... .......... 97%  240M 0s\n",
            " 55550K .......... .......... .......... .......... .......... 97% 3.95M 0s\n",
            " 55600K .......... .......... .......... .......... .......... 97%  202M 0s\n",
            " 55650K .......... .......... .......... .......... .......... 97%  232M 0s\n",
            " 55700K .......... .......... .......... .......... .......... 97%  231M 0s\n",
            " 55750K .......... .......... .......... .......... .......... 97% 57.0M 0s\n",
            " 55800K .......... .......... .......... .......... .......... 97%  221M 0s\n",
            " 55850K .......... .......... .......... .......... .......... 97%  212M 0s\n",
            " 55900K .......... .......... .......... .......... .......... 97%  193M 0s\n",
            " 55950K .......... .......... .......... .......... .......... 98%  185M 0s\n",
            " 56000K .......... .......... .......... .......... .......... 98%  234M 0s\n",
            " 56050K .......... .......... .......... .......... .......... 98%  219M 0s\n",
            " 56100K .......... .......... .......... .......... .......... 98%  206M 0s\n",
            " 56150K .......... .......... .......... .......... .......... 98%  195M 0s\n",
            " 56200K .......... .......... .......... .......... .......... 98%  235M 0s\n",
            " 56250K .......... .......... .......... .......... .......... 98%  200M 0s\n",
            " 56300K .......... .......... .......... .......... .......... 98%  234M 0s\n",
            " 56350K .......... .......... .......... .......... .......... 98%  228M 0s\n",
            " 56400K .......... .......... .......... .......... .......... 98%  214M 0s\n",
            " 56450K .......... .......... .......... .......... .......... 98%  198M 0s\n",
            " 56500K .......... .......... .......... .......... .......... 99%  229M 0s\n",
            " 56550K .......... .......... .......... .......... .......... 99%  187M 0s\n",
            " 56600K .......... .......... .......... .......... .......... 99% 21.9M 0s\n",
            " 56650K .......... .......... .......... .......... .......... 99%  228M 0s\n",
            " 56700K .......... .......... .......... .......... .......... 99%  192M 0s\n",
            " 56750K .......... .......... .......... .......... .......... 99%  208M 0s\n",
            " 56800K .......... .......... .......... .......... .......... 99%  252M 0s\n",
            " 56850K .......... .......... .......... .......... .......... 99%  204M 0s\n",
            " 56900K .......... .......... .......... .......... .......... 99%  233M 0s\n",
            " 56950K .......... .......... .......... .......... .......... 99% 22.6M 0s\n",
            " 57000K .......... .......... .......... .......... .......... 99%  203M 0s\n",
            " 57050K .......... .......... .......... .......... ........  100%  244M=0.9s\n",
            "\n",
            "2021-08-12 12:16:30 (64.3 MB/s) - ‘Miniconda3-4.5.4-Linux-x86_64.sh’ saved [58468498/58468498]\n",
            "\n",
            "Python 3.6.5 :: Anaconda, Inc.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "75KVbSB0SySS",
        "outputId": "1468e731-70bc-43fe-cdb0-58c2042e4b86"
      },
      "source": [
        "!nvidia-smi\n"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Thu Aug 12 12:17:10 2021       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 470.42.01    Driver Version: 460.32.03    CUDA Version: 11.2     |\n",
            "|-------------------------------+----------------------+----------------------+\n",
            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                               |                      |               MIG M. |\n",
            "|===============================+======================+======================|\n",
            "|   0  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   36C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |\n",
            "|                               |                      |                  N/A |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                                  |\n",
            "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
            "|        ID   ID                                                   Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wsAeDZvDTE3Y",
        "outputId": "f8b3e1cf-7b11-4880-da53-f77c5a5486dc"
      },
      "source": [
        "!which conda"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/bin/conda\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "29AD0Jn3TH2F",
        "outputId": "a30da23b-a3c7-4ca1-ca89-34d37246f021"
      },
      "source": [
        "!conda --version"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "conda 4.5.4\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o3r8z_bJTKYC",
        "outputId": "f01c1939-e2be-4413-fa57-ad33aee19b14"
      },
      "source": [
        "!which python # 依旧是/usr/local/bin/python\n"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/bin/python\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZvddBZrKTOzo",
        "outputId": "2c2188f7-76f2-425c-b85c-4ed794ddcb78"
      },
      "source": [
        "!python --version"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Python 3.6.5 :: Anaconda, Inc.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "54ZVZRriVk6u",
        "outputId": "8195ba2b-f75f-4aa3-c583-fefd747921a0"
      },
      "source": [
        "!conda install --channel defaults conda python=3.7 --yes\n",
        "!conda update --channel defaults --all --yes"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Solving environment: - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local\n",
            "\n",
            "  added / updated specs: \n",
            "    - conda\n",
            "    - python=3.7\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    ld_impl_linux-64-2.35.1    |       h7274673_9         637 KB\n",
            "    cffi-1.14.6                |   py37h400218f_0         224 KB\n",
            "    brotlipy-0.7.0             |py37h27cfd23_1003         350 KB\n",
            "    libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB\n",
            "    zlib-1.2.11                |       h7b6447c_3         120 KB\n",
            "    ncurses-6.2                |       he6710b0_1         1.1 MB\n",
            "    urllib3-1.26.6             |     pyhd3eb1b0_1         106 KB\n",
            "    conda-4.10.3               |   py37h06a4308_0         3.1 MB\n",
            "    setuptools-52.0.0          |   py37h06a4308_0         921 KB\n",
            "    sqlite-3.36.0              |       hc218d9a_0         1.4 MB\n",
            "    six-1.16.0                 |     pyhd3eb1b0_0          18 KB\n",
            "    yaml-0.2.5                 |       h7b6447c_0          87 KB\n",
            "    libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB\n",
            "    idna-2.10                  |     pyhd3eb1b0_0          52 KB\n",
            "    ruamel_yaml-0.15.100       |   py37h27cfd23_0         267 KB\n",
            "    python-3.7.11              |       h12debd9_0        52.9 MB\n",
            "    tk-8.6.10                  |       hbc83047_0         3.2 MB\n",
            "    libffi-3.3                 |       he6710b0_2          54 KB\n",
            "    _libgcc_mutex-0.1          |             main           3 KB\n",
            "    tqdm-4.62.0                |     pyhd3eb1b0_1          80 KB\n",
            "    ca-certificates-2021.7.5   |       h06a4308_1         119 KB\n",
            "    pysocks-1.7.1              |           py37_1          27 KB\n",
            "    pip-21.2.2                 |   py37h06a4308_0         2.0 MB\n",
            "    certifi-2021.5.30          |   py37h06a4308_0         141 KB\n",
            "    pycparser-2.20             |             py_2          94 KB\n",
            "    pycosat-0.6.3              |   py37h27cfd23_0         108 KB\n",
            "    pyopenssl-20.0.1           |     pyhd3eb1b0_1          48 KB\n",
            "    chardet-4.0.0              |py37h06a4308_1003         205 KB\n",
            "    xz-5.2.5                   |       h7b6447c_0         438 KB\n",
            "    requests-2.25.1            |     pyhd3eb1b0_0          51 KB\n",
            "    cryptography-3.4.7         |   py37hd23ed53_0         1.0 MB\n",
            "    openssl-1.1.1k             |       h27cfd23_0         3.8 MB\n",
            "    readline-8.1               |       h27cfd23_0         464 KB\n",
            "    conda-package-handling-1.7.3|   py37h27cfd23_1         962 KB\n",
            "    wheel-0.36.2               |     pyhd3eb1b0_0          31 KB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:        86.2 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "    _libgcc_mutex:          0.1-main               \n",
            "    brotlipy:               0.7.0-py37h27cfd23_1003\n",
            "    conda-package-handling: 1.7.3-py37h27cfd23_1   \n",
            "    ld_impl_linux-64:       2.35.1-h7274673_9      \n",
            "    tqdm:                   4.62.0-pyhd3eb1b0_1    \n",
            "\n",
            "The following packages will be UPDATED:\n",
            "\n",
            "    ca-certificates:        2018.03.07-0            --> 2021.7.5-h06a4308_1     \n",
            "    certifi:                2018.4.16-py36_0        --> 2021.5.30-py37h06a4308_0\n",
            "    cffi:                   1.11.5-py36h9745a5d_0   --> 1.14.6-py37h400218f_0   \n",
            "    chardet:                3.0.4-py36h0f667ec_1    --> 4.0.0-py37h06a4308_1003 \n",
            "    conda:                  4.5.4-py36_0            --> 4.10.3-py37h06a4308_0   \n",
            "    cryptography:           2.2.2-py36h14c3975_0    --> 3.4.7-py37hd23ed53_0    \n",
            "    idna:                   2.6-py36h82fb2a8_1      --> 2.10-pyhd3eb1b0_0       \n",
            "    libffi:                 3.2.1-hd88cf55_4        --> 3.3-he6710b0_2          \n",
            "    libgcc-ng:              7.2.0-hdf63c60_3        --> 9.1.0-hdf63c60_0        \n",
            "    libstdcxx-ng:           7.2.0-hdf63c60_3        --> 9.1.0-hdf63c60_0        \n",
            "    ncurses:                6.1-hf484d3e_0          --> 6.2-he6710b0_1          \n",
            "    openssl:                1.0.2o-h20670df_0       --> 1.1.1k-h27cfd23_0       \n",
            "    pip:                    10.0.1-py36_0           --> 21.2.2-py37h06a4308_0   \n",
            "    pycosat:                0.6.3-py36h0a5515d_0    --> 0.6.3-py37h27cfd23_0    \n",
            "    pycparser:              2.18-py36hf9f622e_1     --> 2.20-py_2               \n",
            "    pyopenssl:              18.0.0-py36_0           --> 20.0.1-pyhd3eb1b0_1     \n",
            "    pysocks:                1.6.8-py36_0            --> 1.7.1-py37_1            \n",
            "    python:                 3.6.5-hc3d631a_2        --> 3.7.11-h12debd9_0       \n",
            "    readline:               7.0-ha6073c6_4          --> 8.1-h27cfd23_0          \n",
            "    requests:               2.18.4-py36he2e5f8d_1   --> 2.25.1-pyhd3eb1b0_0     \n",
            "    ruamel_yaml:            0.15.37-py36h14c3975_2  --> 0.15.100-py37h27cfd23_0 \n",
            "    setuptools:             39.2.0-py36_0           --> 52.0.0-py37h06a4308_0   \n",
            "    six:                    1.11.0-py36h372c433_1   --> 1.16.0-pyhd3eb1b0_0     \n",
            "    sqlite:                 3.23.1-he433501_0       --> 3.36.0-hc218d9a_0       \n",
            "    tk:                     8.6.7-hc745277_3        --> 8.6.10-hbc83047_0       \n",
            "    urllib3:                1.22-py36hbe7ace6_0     --> 1.26.6-pyhd3eb1b0_1     \n",
            "    wheel:                  0.31.1-py36_0           --> 0.36.2-pyhd3eb1b0_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",
            "\n",
            "Downloading and Extracting Packages\n",
            "ld_impl_linux-64-2.3 |  637 KB | : 100% 1.0/1 [00:00<00:00,  5.85it/s]               \n",
            "cffi-1.14.6          |  224 KB | : 100% 1.0/1 [00:00<00:00, 10.01it/s]\n",
            "brotlipy-0.7.0       |  350 KB | : 100% 1.0/1 [00:00<00:00, 11.31it/s]\n",
            "libgcc-ng-9.1.0      |  8.1 MB | : 100% 1.0/1 [00:01<00:00,  1.31s/it]               \n",
            "zlib-1.2.11          |  120 KB | : 100% 1.0/1 [00:00<00:00, 14.71it/s]\n",
            "ncurses-6.2          |  1.1 MB | : 100% 1.0/1 [00:00<00:00,  1.19it/s]               \n",
            "urllib3-1.26.6       |  106 KB | : 100% 1.0/1 [00:00<00:00, 12.20it/s]\n",
            "conda-4.10.3         |  3.1 MB | : 100% 1.0/1 [00:00<00:00,  1.34it/s]               \n",
            "setuptools-52.0.0    |  921 KB | : 100% 1.0/1 [00:00<00:00,  3.53it/s]               \n",
            "sqlite-3.36.0        |  1.4 MB | : 100% 1.0/1 [00:00<00:00,  3.42it/s]               \n",
            "six-1.16.0           |   18 KB | : 100% 1.0/1 [00:00<00:00, 18.92it/s]\n",
            "yaml-0.2.5           |   87 KB | : 100% 1.0/1 [00:00<00:00, 14.32it/s]\n",
            "libstdcxx-ng-9.1.0   |  4.0 MB | : 100% 1.0/1 [00:00<00:00,  1.42it/s]              \n",
            "idna-2.10            |   52 KB | : 100% 1.0/1 [00:00<00:00, 16.83it/s]\n",
            "ruamel_yaml-0.15.100 |  267 KB | : 100% 1.0/1 [00:00<00:00,  8.74it/s]              \n",
            "python-3.7.11        | 52.9 MB | : 100% 1.0/1 [00:06<00:00,  6.58s/it]              \n",
            "tk-8.6.10            |  3.2 MB | : 100% 1.0/1 [00:00<00:00,  1.55it/s]               \n",
            "libffi-3.3           |   54 KB | : 100% 1.0/1 [00:00<00:00, 16.30it/s]\n",
            "_libgcc_mutex-0.1    |    3 KB | : 100% 1.0/1 [00:00<00:00, 22.34it/s]\n",
            "tqdm-4.62.0          |   80 KB | : 100% 1.0/1 [00:00<00:00, 12.66it/s]\n",
            "ca-certificates-2021 |  119 KB | : 100% 1.0/1 [00:00<00:00, 15.49it/s]\n",
            "pysocks-1.7.1        |   27 KB | : 100% 1.0/1 [00:00<00:00, 19.54it/s]\n",
            "pip-21.2.2           |  2.0 MB | : 100% 1.0/1 [00:00<00:00,  1.60it/s]               \n",
            "certifi-2021.5.30    |  141 KB | : 100% 1.0/1 [00:00<00:00, 14.66it/s]\n",
            "pycparser-2.20       |   94 KB | : 100% 1.0/1 [00:00<00:00, 10.20it/s]\n",
            "pycosat-0.6.3        |  108 KB | : 100% 1.0/1 [00:00<00:00, 14.50it/s]\n",
            "pyopenssl-20.0.1     |   48 KB | : 100% 1.0/1 [00:00<00:00, 16.95it/s]\n",
            "chardet-4.0.0        |  205 KB | : 100% 1.0/1 [00:00<00:00,  8.19it/s]\n",
            "xz-5.2.5             |  438 KB | : 100% 1.0/1 [00:00<00:00,  6.06it/s]               \n",
            "requests-2.25.1      |   51 KB | : 100% 1.0/1 [00:00<00:00, 14.34it/s]\n",
            "cryptography-3.4.7   |  1.0 MB | : 100% 1.0/1 [00:00<00:00,  3.14it/s]               \n",
            "openssl-1.1.1k       |  3.8 MB | : 100% 1.0/1 [00:00<00:00,  1.40it/s]               \n",
            "readline-8.1         |  464 KB | : 100% 1.0/1 [00:00<00:00,  7.08it/s]               \n",
            "conda-package-handli |  962 KB | : 100% 1.0/1 [00:00<00:00,  5.35it/s]               \n",
            "wheel-0.36.2         |   31 KB | : 100% 1.0/1 [00:00<00:00, 17.67it/s]\n",
            "Preparing transaction: / \b\b- \b\b\\ \b\b| \b\bdone\n",
            "Verifying transaction: - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
            "Executing transaction: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
            "Collecting package metadata (current_repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
            "Solving environment: / \b\b- \b\b\\ \b\b| \n",
            "The environment is inconsistent, please check the package plan carefully\n",
            "The following packages are causing the inconsistency:\n",
            "\n",
            "  - defaults/linux-64::asn1crypto==0.24.0=py36_0\n",
            "\b\b/ \b\bdone\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    _openmp_mutex-4.5          |            1_gnu          22 KB\n",
            "    libgcc-ng-9.3.0            |      h5101ec6_17         4.8 MB\n",
            "    libgomp-9.3.0              |      h5101ec6_17         311 KB\n",
            "    libstdcxx-ng-9.3.0         |      hd4cf53a_17         3.1 MB\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:         8.2 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "  _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-4.5-1_gnu\n",
            "  libgomp            pkgs/main/linux-64::libgomp-9.3.0-h5101ec6_17\n",
            "\n",
            "The following packages will be UPDATED:\n",
            "\n",
            "  libgcc-ng                                9.1.0-hdf63c60_0 --> 9.3.0-h5101ec6_17\n",
            "  libstdcxx-ng                             9.1.0-hdf63c60_0 --> 9.3.0-hd4cf53a_17\n",
            "\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "libstdcxx-ng-9.3.0   | 3.1 MB    | : 100% 1.0/1 [00:00<00:00,  2.41it/s]               \n",
            "libgomp-9.3.0        | 311 KB    | : 100% 1.0/1 [00:00<00:00, 13.66it/s]\n",
            "_openmp_mutex-4.5    | 22 KB     | : 100% 1.0/1 [00:00<00:00, 17.44it/s]\n",
            "libgcc-ng-9.3.0      | 4.8 MB    | : 100% 1.0/1 [00:00<00:00,  3.46it/s]\n",
            "Preparing transaction: \\ \b\bdone\n",
            "Verifying transaction: / \b\bdone\n",
            "Executing transaction: \\ \b\bdone\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bYljpmHuWXW9",
        "outputId": "bf8d36f1-2a08-4abc-d99a-8202beeed74b"
      },
      "source": [
        "!conda --version # now returns 4.8.3\n"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "conda 4.10.3\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X827N3hYWefm",
        "outputId": "400bbb09-85ce-4d0f-e865-849a6a8b0c9d"
      },
      "source": [
        "!python --version # now returns Python 3.6.10 :: Anaconda, Inc.\n"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Python 3.7.11\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O3pkMaOqWikH",
        "outputId": "7b75f9a7-1613-498e-8909-df35ae002199"
      },
      "source": [
        "import sys\n",
        "sys.path"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['',\n",
              " '/content',\n",
              " '/env/python',\n",
              " '/usr/lib/python37.zip',\n",
              " '/usr/lib/python3.7',\n",
              " '/usr/lib/python3.7/lib-dynload',\n",
              " '/usr/local/lib/python3.7/dist-packages',\n",
              " '/usr/lib/python3/dist-packages',\n",
              " '/usr/local/lib/python3.7/dist-packages/IPython/extensions',\n",
              " '/root/.ipython']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gKxu2k0EWuLt"
      },
      "source": [
        "import sys\n",
        "_ = (sys.path\n",
        "        .append(\"/usr/local/lib/python3.7/site-packages\"))"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BbW-gevLW2HU",
        "outputId": "f638b7f1-d945-4277-8fa4-37ecc1f9841e"
      },
      "source": [
        "!pip install -r requirements.txt"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: appdirs==1.4.4 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 1)) (1.4.4)\n",
            "Requirement already satisfied: argon2-cffi==20.1.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (20.1.0)\n",
            "Requirement already satisfied: async-generator==1.10 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (1.10)\n",
            "Requirement already satisfied: attrs==21.2.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (21.2.0)\n",
            "Requirement already satisfied: backcall==0.2.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.2.0)\n",
            "Requirement already satisfied: bleach==4.0.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (4.0.0)\n",
            "Requirement already satisfied: cached-property==1.5.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (1.5.2)\n",
            "Requirement already satisfied: certifi==2021.5.30 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (2021.5.30)\n",
            "Requirement already satisfied: cffi==1.14.6 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (1.14.6)\n",
            "Requirement already satisfied: cityscapesScripts==2.2.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (2.2.0)\n",
            "Requirement already satisfied: click==8.0.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (8.0.1)\n",
            "Requirement already satisfied: colorama==0.4.4 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (0.4.4)\n",
            "Requirement already satisfied: coloredlogs==15.0.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 13)) (15.0.1)\n",
            "Requirement already satisfied: cycler==0.10.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (0.10.0)\n",
            "Requirement already satisfied: Cython==0.29.24 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 15)) (0.29.24)\n",
            "Requirement already satisfied: dataclasses==0.6 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 16)) (0.6)\n",
            "Requirement already satisfied: debugpy==1.4.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 17)) (1.4.1)\n",
            "Requirement already satisfied: decorator==5.0.9 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 18)) (5.0.9)\n",
            "Requirement already satisfied: defusedxml==0.7.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 19)) (0.7.1)\n",
            "Requirement already satisfied: einops==0.3.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 20)) (0.3.0)\n",
            "Requirement already satisfied: entrypoints==0.3 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 21)) (0.3)\n",
            "Requirement already satisfied: future==0.18.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 22)) (0.18.2)\n",
            "Requirement already satisfied: h5py==3.3.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 23)) (3.3.0)\n",
            "Requirement already satisfied: humanfriendly==9.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 24)) (9.2)\n",
            "Requirement already satisfied: importlib-metadata==3.10.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 25)) (3.10.1)\n",
            "Requirement already satisfied: ipykernel==6.0.3 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 26)) (6.0.3)\n",
            "Requirement already satisfied: ipython==7.26.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 27)) (7.26.0)\n",
            "Requirement already satisfied: ipython-genutils==0.2.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 28)) (0.2.0)\n",
            "Requirement already satisfied: ipywidgets==7.6.3 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 29)) (7.6.3)\n",
            "Requirement already satisfied: jedi==0.18.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 30)) (0.18.0)\n",
            "Requirement already satisfied: Jinja2==3.0.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 31)) (3.0.1)\n",
            "Requirement already satisfied: joblib==1.0.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 32)) (1.0.1)\n",
            "Requirement already satisfied: jsonschema==3.2.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 33)) (3.2.0)\n",
            "Requirement already satisfied: jupyter==1.0.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 34)) (1.0.0)\n",
            "Requirement already satisfied: jupyter-client==6.2.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 35)) (6.2.0)\n",
            "Requirement already satisfied: jupyter-console==6.4.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 36)) (6.4.0)\n",
            "Requirement already satisfied: jupyter-core==4.7.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 37)) (4.7.1)\n",
            "Requirement already satisfied: jupyterlab-pygments==0.1.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 38)) (0.1.2)\n",
            "Requirement already satisfied: jupyterlab-widgets==1.0.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 39)) (1.0.0)\n",
            "Requirement already satisfied: kiwisolver==1.3.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 40)) (1.3.1)\n",
            "Requirement already satisfied: MarkupSafe==2.0.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 41)) (2.0.1)\n",
            "Requirement already satisfied: matplotlib==3.4.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 42)) (3.4.2)\n",
            "Requirement already satisfied: matplotlib-inline==0.1.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 43)) (0.1.2)\n",
            "Requirement already satisfied: mistune==0.8.4 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 44)) (0.8.4)\n",
            "Requirement already satisfied: mkl-fft==1.3.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 45)) (1.3.0)\n",
            "Collecting mkl-random==1.2.2\n",
            "  Using cached mkl_random-1.2.2-1-cp37-cp37m-manylinux2014_x86_64.whl (379 kB)\n",
            "Collecting mkl-service==2.4.0\n",
            "  Using cached mkl_service-2.4.0-0-cp37-cp37m-manylinux2014_x86_64.whl (63 kB)\n",
            "Requirement already satisfied: nbclient==0.5.3 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 48)) (0.5.3)\n",
            "Requirement already satisfied: nbconvert==6.1.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 49)) (6.1.0)\n",
            "Requirement already satisfied: nbformat==5.1.3 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 50)) (5.1.3)\n",
            "Requirement already satisfied: nest-asyncio==1.5.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 51)) (1.5.1)\n",
            "Collecting ninja==1.10.2\n",
            "  Using cached ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)\n",
            "Requirement already satisfied: nltk==3.6.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 53)) (3.6.2)\n",
            "Requirement already satisfied: notebook==6.4.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 54)) (6.4.2)\n",
            "Collecting numpy==1.20.3\n",
            "  Using cached numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.3 MB)\n",
            "Requirement already satisfied: olefile==0.46 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 56)) (0.46)\n",
            "Requirement already satisfied: opencv-python==4.5.3.56 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 57)) (4.5.3.56)\n",
            "Requirement already satisfied: packaging==21.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 58)) (21.0)\n",
            "Requirement already satisfied: pandas==1.3.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 59)) (1.3.1)\n",
            "Requirement already satisfied: pandocfilters==1.4.3 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 60)) (1.4.3)\n",
            "Requirement already satisfied: parso==0.8.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 61)) (0.8.2)\n",
            "Requirement already satisfied: pickleshare==0.7.5 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 62)) (0.7.5)\n",
            "Requirement already satisfied: Pillow==8.3.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 63)) (8.3.1)\n",
            "Requirement already satisfied: pip==21.2.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 64)) (21.2.2)\n",
            "Requirement already satisfied: prometheus-client==0.11.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 65)) (0.11.0)\n",
            "Requirement already satisfied: prompt-toolkit==3.0.19 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 66)) (3.0.19)\n",
            "Requirement already satisfied: pycocotools==2.0.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 67)) (2.0.2)\n",
            "Requirement already satisfied: pycparser==2.20 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 68)) (2.20)\n",
            "Requirement already satisfied: Pygments==2.9.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 69)) (2.9.0)\n",
            "Requirement already satisfied: pyparsing==2.4.7 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 70)) (2.4.7)\n",
            "Requirement already satisfied: pyquaternion==0.9.9 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 71)) (0.9.9)\n",
            "Requirement already satisfied: pyreadline==2.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 72)) (2.1)\n",
            "Requirement already satisfied: pyrsistent==0.18.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 73)) (0.18.0)\n",
            "Requirement already satisfied: python-dateutil==2.8.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 74)) (2.8.2)\n",
            "Requirement already satisfied: pytz==2021.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 75)) (2021.1)\n",
            "Requirement already satisfied: PyYAML==5.4.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 78)) (5.4.1)\n",
            "Requirement already satisfied: pyzmq==22.2.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 79)) (22.2.1)\n",
            "Requirement already satisfied: qtconsole==5.1.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 80)) (5.1.1)\n",
            "Requirement already satisfied: QtPy==1.9.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 81)) (1.9.0)\n",
            "Requirement already satisfied: regex==2021.8.3 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 82)) (2021.8.3)\n",
            "Requirement already satisfied: scipy==1.7.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 83)) (1.7.1)\n",
            "Requirement already satisfied: Send2Trash==1.8.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 84)) (1.8.0)\n",
            "Requirement already satisfied: setuptools==52.0.0.post20210125 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 85)) (52.0.0.post20210125)\n",
            "Requirement already satisfied: six==1.16.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 86)) (1.16.0)\n",
            "Requirement already satisfied: terminado==0.10.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 87)) (0.10.1)\n",
            "Requirement already satisfied: testpath==0.5.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 88)) (0.5.0)\n",
            "Collecting timm==0.4.12\n",
            "  Downloading timm-0.4.12-py3-none-any.whl (376 kB)\n",
            "\u001b[K     |████████████████████████████████| 376 kB 8.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: torch==1.7.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 90)) (1.7.1)\n",
            "Collecting torchaudio==0.7.2\n",
            "  Downloading torchaudio-0.7.2-cp37-cp37m-manylinux1_x86_64.whl (7.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 7.6 MB 23.3 MB/s \n",
            "\u001b[?25hCollecting torchvision==0.8.2\n",
            "  Downloading torchvision-0.8.2-cp37-cp37m-manylinux1_x86_64.whl (12.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 12.8 MB 48.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: tornado==6.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 93)) (6.1)\n",
            "Collecting tqdm==4.19.9\n",
            "  Downloading tqdm-4.19.9-py2.py3-none-any.whl (52 kB)\n",
            "\u001b[K     |████████████████████████████████| 52 kB 1.6 MB/s \n",
            "\u001b[?25hRequirement already satisfied: traitlets==5.0.5 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 95)) (5.0.5)\n",
            "Requirement already satisfied: typing==3.7.4.3 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 96)) (3.7.4.3)\n",
            "Requirement already satisfied: typing-extensions==3.10.0.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 97)) (3.10.0.0)\n",
            "Requirement already satisfied: wcwidth==0.2.5 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 98)) (0.2.5)\n",
            "Requirement already satisfied: webencodings==0.5.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 99)) (0.5.1)\n",
            "Requirement already satisfied: wheel==0.36.2 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 100)) (0.36.2)\n",
            "Requirement already satisfied: widgetsnbextension==3.5.1 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 101)) (3.5.1)\n",
            "Collecting wincertstore==0.2\n",
            "  Downloading wincertstore-0.2-py2.py3-none-any.whl (8.8 kB)\n",
            "Collecting yacs==0.1.8\n",
            "  Downloading yacs-0.1.8-py3-none-any.whl (14 kB)\n",
            "Requirement already satisfied: zipp==3.5.0 in /usr/local/lib/python3.7/site-packages (from -r requirements.txt (line 104)) (3.5.0)\n",
            "Requirement already satisfied: pexpect>4.3 in /usr/local/lib/python3.7/site-packages (from ipython==7.26.0->-r requirements.txt (line 27)) (4.8.0)\n",
            "Collecting mkl\n",
            "  Downloading mkl-2021.3.0-py2.py3-none-manylinux1_x86_64.whl (278.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 278.6 MB 32 kB/s \n",
            "\u001b[?25hCollecting dpcpp_cpp_rt\n",
            "  Downloading dpcpp_cpp_rt-2021.3.0-py2.py3-none-manylinux1_x86_64.whl (3.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.5 MB 56.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: ptyprocess in /usr/local/lib/python3.7/site-packages (from terminado==0.10.1->-r requirements.txt (line 87)) (0.7.0)\n",
            "Collecting intel-cmplr-lib-rt==2021.3.0\n",
            "  Downloading intel_cmplr_lib_rt-2021.3.0-py2.py3-none-manylinux1_x86_64.whl (32.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 32.8 MB 54 kB/s \n",
            "\u001b[?25hCollecting intel-openmp==2021.3.0\n",
            "  Downloading intel_openmp-2021.3.0-py2.py3-none-manylinux1_x86_64.whl (2.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.1 MB 58.8 MB/s \n",
            "\u001b[?25hCollecting intel-cmplr-lic-rt==2021.3.0\n",
            "  Downloading intel_cmplr_lic_rt-2021.3.0-py2.py3-none-manylinux1_x86_64.whl (24 kB)\n",
            "Collecting intel-opencl-rt==2021.3.0\n",
            "  Downloading intel_opencl_rt-2021.3.0-py2.py3-none-manylinux1_x86_64.whl (185.9 MB)\n",
            "\u001b[K     |████████████████████████████████| 185.9 MB 60 kB/s \n",
            "\u001b[?25hCollecting tbb==2021.*\n",
            "  Downloading tbb-2021.3.0-py2.py3-none-manylinux1_x86_64.whl (4.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.1 MB 68.1 MB/s \n",
            "\u001b[?25hInstalling collected packages: tbb, numpy, intel-cmplr-lic-rt, intel-openmp, intel-opencl-rt, intel-cmplr-lib-rt, tqdm, torchvision, mkl, dpcpp-cpp-rt, yacs, wincertstore, torchaudio, timm, ninja, mkl-service, mkl-random\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.21.1\n",
            "    Uninstalling numpy-1.21.1:\n",
            "      Successfully uninstalled numpy-1.21.1\n",
            "  Attempting uninstall: tqdm\n",
            "    Found existing installation: tqdm 4.62.0\n",
            "    Uninstalling tqdm-4.62.0:\n",
            "      Successfully uninstalled tqdm-4.62.0\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.8.0a0\n",
            "    Uninstalling torchvision-0.8.0a0:\n",
            "      Successfully uninstalled torchvision-0.8.0a0\n",
            "  Attempting uninstall: mkl-service\n",
            "    Found existing installation: mkl-service 2.3.0\n",
            "    Uninstalling mkl-service-2.3.0:\n",
            "      Successfully uninstalled mkl-service-2.3.0\n",
            "  Attempting uninstall: mkl-random\n",
            "    Found existing installation: mkl-random 1.1.1\n",
            "    Uninstalling mkl-random-1.1.1:\n",
            "      Successfully uninstalled mkl-random-1.1.1\n",
            "Successfully installed dpcpp-cpp-rt-2021.3.0 intel-cmplr-lib-rt-2021.3.0 intel-cmplr-lic-rt-2021.3.0 intel-opencl-rt-2021.3.0 intel-openmp-2021.3.0 mkl-2021.3.0 mkl-random-1.2.2 mkl-service-2.4.0 ninja-1.10.2 numpy-1.20.3 tbb-2021.3.0 timm-0.4.12 torchaudio-0.7.2 torchvision-0.8.2 tqdm-4.19.9 wincertstore-0.2 yacs-0.1.8\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ft3fttqJgLko",
        "outputId": "ce214968-0ba4-48b2-ddd6-62a50649b493"
      },
      "source": [
        "!conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.1 -c pytorch\n"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting package metadata (current_repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\bdone\n",
            "Solving environment: | \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\bdone\n",
            "\n",
            "## Package Plan ##\n",
            "\n",
            "  environment location: /usr/local\n",
            "\n",
            "  added / updated specs:\n",
            "    - cudatoolkit=10.1\n",
            "    - pytorch==1.7.1\n",
            "    - torchaudio==0.7.2\n",
            "    - torchvision==0.8.2\n",
            "\n",
            "\n",
            "The following packages will be downloaded:\n",
            "\n",
            "    package                    |            build\n",
            "    ---------------------------|-----------------\n",
            "    cudatoolkit-10.1.243       |       h6bb024c_0       347.4 MB\n",
            "    libuv-1.40.0               |       h7b6447c_0         736 KB\n",
            "    pytorch-1.7.1              |py3.7_cuda10.1.243_cudnn7.6.3_0       552.8 MB  pytorch\n",
            "    torchaudio-0.7.2           |             py37         9.9 MB  pytorch\n",
            "    torchvision-0.8.2          |       py37_cu101        17.9 MB  pytorch\n",
            "    ------------------------------------------------------------\n",
            "                                           Total:       928.7 MB\n",
            "\n",
            "The following NEW packages will be INSTALLED:\n",
            "\n",
            "  cudatoolkit        pkgs/main/linux-64::cudatoolkit-10.1.243-h6bb024c_0\n",
            "  libuv              pkgs/main/linux-64::libuv-1.40.0-h7b6447c_0\n",
            "  torchaudio         pytorch/linux-64::torchaudio-0.7.2-py37\n",
            "\n",
            "The following packages will be SUPERSEDED by a higher-priority channel:\n",
            "\n",
            "  pytorch            pkgs/main::pytorch-1.7.1-cpu_py37h6a0~ --> pytorch::pytorch-1.7.1-py3.7_cuda10.1.243_cudnn7.6.3_0\n",
            "  torchvision        pkgs/main::torchvision-0.8.2-cpu_py37~ --> pytorch::torchvision-0.8.2-py37_cu101\n",
            "\n",
            "\n",
            "Proceed ([y]/n)? y\n",
            "\n",
            "\n",
            "Downloading and Extracting Packages\n",
            "torchvision-0.8.2    | 17.9 MB   | : 100% 1.0/1 [00:03<00:00,  3.78s/it]               \n",
            "cudatoolkit-10.1.243 | 347.4 MB  | : 100% 1.0/1 [00:10<00:00, 10.83s/it]               \n",
            "torchaudio-0.7.2     | 9.9 MB    | : 100% 1.0/1 [00:08<00:00,  8.22s/it]               \n",
            "pytorch-1.7.1        | 552.8 MB  | : 100% 1.0/1 [01:25<00:00, 85.39s/it]               \n",
            "libuv-1.40.0         | 736 KB    | : 100% 1.0/1 [00:00<00:00,  8.07it/s]\n",
            "Preparing transaction: | \b\b/ \b\bdone\n",
            "Verifying transaction: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
            "Executing transaction: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\bdone\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mva0f-q5aCAp",
        "outputId": "0844b4a8-4f6a-4444-bf16-64299be1973e"
      },
      "source": [
        "!python setup.py build develop\n"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "running build\n",
            "running build_py\n",
            "running build_ext\n",
            "building 'maskrcnn_benchmark._C' extension\n",
            "creating /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda\n",
            "Emitting ninja build file /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/build.ninja...\n",
            "Compiling objects...\n",
            "Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)\n",
            "[1/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/nms.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/nms.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[2/11] c++ -MMD -MF /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.o.d -pthread -B /usr/local/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14\n",
            "cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Parallel.h:149:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:12,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]\n",
            " #pragma omp parallel for if ((end - begin) >= grain_size)\n",
            " \n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp: In instantiation of ‘at::Tensor nms_cpu_kernel(const at::Tensor&, const at::Tensor&, float) [with scalar_t = double]’:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:71:3:   required from here\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:23: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "              ~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:23: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "              ~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:40: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "                             ~~~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:40: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "                             ~~~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp: In instantiation of ‘at::Tensor nms_cpu_kernel(const at::Tensor&, const at::Tensor&, float) [with scalar_t = float]’:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:71:3:   required from here\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:23: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "              ~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:23: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "              ~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:40: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "                             ~~~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:40: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "                             ~~~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "[3/11] c++ -MMD -MF /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.o.d -pthread -B /usr/local/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.cpp -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14\n",
            "cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Parallel.h:149:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:12,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/nms.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]\n",
            " #pragma omp parallel for if ((end - begin) >= grain_size)\n",
            " \n",
            "[4/11] c++ -MMD -MF /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.o.d -pthread -B /usr/local/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.cpp -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14\n",
            "cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Parallel.h:149:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:12,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]\n",
            " #pragma omp parallel for if ((end - begin) >= grain_size)\n",
            " \n",
            "[5/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIPool_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIPool_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[6/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/SigmoidFocalLoss_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/SigmoidFocalLoss_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[7/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[8/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIAlign_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIAlign_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[9/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_kernel_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_kernel_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[10/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_kernel_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_kernel_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[11/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "g++ -pthread -shared -B /usr/local/compiler_compat -L/usr/local/lib -Wl,-rpath=/usr/local/lib -Wl,--no-as-needed -Wl,--sysroot=/ /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIPool_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/SigmoidFocalLoss_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/nms.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIAlign_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_kernel_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_kernel_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_cuda.o -L/usr/local/lib/python3.7/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-3.7/maskrcnn_benchmark/_C.cpython-37m-x86_64-linux-gnu.so\n",
            "running develop\n",
            "running egg_info\n",
            "writing maskrcnn_benchmark.egg-info/PKG-INFO\n",
            "writing dependency_links to maskrcnn_benchmark.egg-info/dependency_links.txt\n",
            "writing top-level names to maskrcnn_benchmark.egg-info/top_level.txt\n",
            "reading manifest file 'maskrcnn_benchmark.egg-info/SOURCES.txt'\n",
            "writing manifest file 'maskrcnn_benchmark.egg-info/SOURCES.txt'\n",
            "running build_ext\n",
            "building 'maskrcnn_benchmark._C' extension\n",
            "Emitting ninja build file /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/build.ninja...\n",
            "Compiling objects...\n",
            "Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)\n",
            "[1/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/nms.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/nms.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[2/11] c++ -MMD -MF /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.o.d -pthread -B /usr/local/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0\n",
            "cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Parallel.h:149:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:12,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]\n",
            " #pragma omp parallel for if ((end - begin) >= grain_size)\n",
            " \n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp: In instantiation of ‘at::Tensor nms_cpu_kernel(const at::Tensor&, const at::Tensor&, float) [with scalar_t = double]’:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:71:3:   required from here\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:23: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "              ~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:23: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "              ~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:40: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "                             ~~~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:40: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "                             ~~~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp: In instantiation of ‘at::Tensor nms_cpu_kernel(const at::Tensor&, const at::Tensor&, float) [with scalar_t = float]’:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:71:3:   required from here\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:23: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "              ~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:23: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "              ~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:40: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "                             ~~~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Device.h:5:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/c10/core/Allocator.h:6,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:7,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:40: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "                             ~~~~~~~~~~~^~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:219:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’\n",
            " #define C10_EXPAND_MSVC_WORKAROUND(x) x\n",
            "                                       ^\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:238:34: note: in expansion of macro ‘C10_UNLIKELY’\n",
            " #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)\n",
            "                                  ^~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:285:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’\n",
            "   if (C10_UNLIKELY_OR_CONST(!(cond))) {       \\\n",
            "       ^~~~~~~~~~~~~~~~~~~~~\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/c10/util/Exception.h:447:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’\n",
            "     C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__));     \\\n",
            "                                ^~~~~~~~~~~~~~~~~~~~~\n",
            "/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:11:3: note: in expansion of macro ‘AT_ASSERTM’\n",
            "   AT_ASSERTM(dets.type() == scores.type(), \"dets should have the same type as scores\");\n",
            "   ^~~~~~~~~~\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Tensor.h:3:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Context.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/ATen/ATen.h:9,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here\n",
            "   DeprecatedTypeProperties & type() const {\n",
            "                              ^~~~\n",
            "[3/11] c++ -MMD -MF /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.o.d -pthread -B /usr/local/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.cpp -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0\n",
            "cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Parallel.h:149:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:12,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/nms.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]\n",
            " #pragma omp parallel for if ((end - begin) >= grain_size)\n",
            " \n",
            "[4/11] c++ -MMD -MF /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.o.d -pthread -B /usr/local/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.cpp -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0\n",
            "cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++\n",
            "In file included from /usr/local/lib/python3.7/site-packages/torch/include/ATen/Parallel.h:149:0,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:12,\n",
            "                 from /usr/local/lib/python3.7/site-packages/torch/include/torch/extension.h:4,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/vision.h:3,\n",
            "                 from /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.cpp:2:\n",
            "/usr/local/lib/python3.7/site-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]\n",
            " #pragma omp parallel for if ((end - begin) >= grain_size)\n",
            " \n",
            "[5/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIPool_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIPool_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[6/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/SigmoidFocalLoss_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/SigmoidFocalLoss_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[7/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[8/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIAlign_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIAlign_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[9/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_kernel_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_kernel_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[10/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_kernel_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_kernel_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "[11/11] /usr/local/cuda/bin/nvcc -DWITH_CUDA -I/content/scene_graph_benchmark/maskrcnn_benchmark/csrc -I/usr/local/lib/python3.7/site-packages/torch/include -I/usr/local/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.7/site-packages/torch/include/TH -I/usr/local/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/local/include/python3.7m -c -c /content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_cuda.cu -o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''\"'\"'-fPIC'\"'\"'' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE=\"_gcc\"' '-DPYBIND11_STDLIB=\"_libstdcpp\"' '-DPYBIND11_BUILD_ABI=\"_cxxabi1011\"' -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14\n",
            "g++ -pthread -shared -B /usr/local/compiler_compat -L/usr/local/lib -Wl,-rpath=/usr/local/lib -Wl,--no-as-needed -Wl,--sysroot=/ /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/vision.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/nms_cpu.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cpu/ROIAlign_cpu.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIPool_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/SigmoidFocalLoss_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/nms.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/ROIAlign_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_kernel_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_kernel_cuda.o /content/scene_graph_benchmark/build/temp.linux-x86_64-3.7/content/scene_graph_benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_cuda.o -L/usr/local/lib/python3.7/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-3.7/maskrcnn_benchmark/_C.cpython-37m-x86_64-linux-gnu.so\n",
            "copying build/lib.linux-x86_64-3.7/maskrcnn_benchmark/_C.cpython-37m-x86_64-linux-gnu.so -> maskrcnn_benchmark\n",
            "Creating /usr/local/lib/python3.7/site-packages/maskrcnn-benchmark.egg-link (link to .)\n",
            "maskrcnn-benchmark 0.1 is already the active version in easy-install.pth\n",
            "\n",
            "Installed /content/scene_graph_benchmark\n",
            "Processing dependencies for maskrcnn-benchmark==0.1\n",
            "Finished processing dependencies for maskrcnn-benchmark==0.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mf1tM_zwaJmp",
        "outputId": "e85fc625-cd45-4cb7-a7de-490289e30f9a"
      },
      "source": [
        "!python tools/demo/demo_image.py --config_file sgg_configs/vgattr/vinvl_x152c4.yaml --img_file demo/woman_fish.jpg --save_file output/woman_fish_x152c4.obj.jpg MODEL.WEIGHT pretrained_model/vinvl_vg_x152c4.pth MODEL.ROI_HEADS.NMS_FILTER 1 MODEL.ROI_HEADS.SCORE_THRESH 0.2 TEST.IGNORE_BOX_REGRESSION False\n"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "save results to: output/woman_fish_x152c4.obj.jpg\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I2x-xVHtI6q9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bb42cfbb-89dc-4ce5-db71-61a3804be135"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NuPZ_9RzJzuq",
        "outputId": "7946442d-5d84-47a5-b733-4e530b10e776"
      },
      "source": [
        "cp -rf /content/drive/Othercomputers/我的 笔记本电脑/scene_graph_benchmark "
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "cp: cannot stat '/content/drive/Othercomputers/我的': No such file or directory\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FsfQ5FPbKwmU",
        "outputId": "629c68b8-d60e-4998-ac31-fd668ae5a309"
      },
      "source": [
        "cd /content/drive/Othercomputers/我的 笔记本电脑"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/Othercomputers/我的 笔记本电脑\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nT0veNVyK0FL"
      },
      "source": [
        "cp -rf scene_graph_benchmark/ /content/"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8QndFB52L5QV"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ppr2CG1-LkBT",
        "outputId": "8901a2ba-287d-42b2-c771-18d32e28f607"
      },
      "source": [
        "cd /content/scene_graph_benchmark"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/scene_graph_benchmark\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JUd0SiatL6Et",
        "outputId": "be303a52-fca0-45b3-fa11-6687dd3c88fa"
      },
      "source": [
        "!pip install -r requirements.txt"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: appdirs==1.4.4 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 1)) (1.4.4)\n",
            "Requirement already satisfied: argon2-cffi==20.1.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 2)) (20.1.0)\n",
            "Requirement already satisfied: async-generator==1.10 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 3)) (1.10)\n",
            "Requirement already satisfied: attrs==21.2.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 4)) (21.2.0)\n",
            "Requirement already satisfied: backcall==0.2.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 5)) (0.2.0)\n",
            "Collecting bleach==4.0.0\n",
            "  Downloading bleach-4.0.0-py2.py3-none-any.whl (146 kB)\n",
            "\u001b[K     |████████████████████████████████| 146 kB 7.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: cached-property==1.5.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 7)) (1.5.2)\n",
            "Requirement already satisfied: certifi==2021.5.30 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 8)) (2021.5.30)\n",
            "Requirement already satisfied: cffi==1.14.6 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 9)) (1.14.6)\n",
            "Collecting cityscapesScripts==2.2.0\n",
            "  Downloading cityscapesScripts-2.2.0-py3-none-any.whl (472 kB)\n",
            "\u001b[K     |████████████████████████████████| 472 kB 55.9 MB/s \n",
            "\u001b[?25hCollecting click==8.0.1\n",
            "  Downloading click-8.0.1-py3-none-any.whl (97 kB)\n",
            "\u001b[K     |████████████████████████████████| 97 kB 8.3 MB/s \n",
            "\u001b[?25hCollecting colorama==0.4.4\n",
            "  Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB)\n",
            "Collecting coloredlogs==15.0.1\n",
            "  Downloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n",
            "\u001b[K     |████████████████████████████████| 46 kB 4.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: cycler==0.10.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 14)) (0.10.0)\n",
            "Collecting Cython==0.29.24\n",
            "  Downloading Cython-0.29.24-cp37-cp37m-manylinux1_x86_64.whl (2.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.0 MB 61.6 MB/s \n",
            "\u001b[?25hCollecting dataclasses==0.6\n",
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            "Collecting debugpy==1.4.1\n",
            "  Downloading debugpy-1.4.1-cp37-cp37m-manylinux2014_x86_64.whl (4.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.6 MB 62.6 MB/s \n",
            "\u001b[?25hCollecting decorator==5.0.9\n",
            "  Downloading decorator-5.0.9-py3-none-any.whl (8.9 kB)\n",
            "Requirement already satisfied: defusedxml==0.7.1 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 19)) (0.7.1)\n",
            "Collecting einops==0.3.0\n",
            "  Downloading einops-0.3.0-py2.py3-none-any.whl (25 kB)\n",
            "Requirement already satisfied: entrypoints==0.3 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 21)) (0.3)\n",
            "Collecting future==0.18.2\n",
            "  Downloading future-0.18.2.tar.gz (829 kB)\n",
            "\u001b[K     |████████████████████████████████| 829 kB 48.3 MB/s \n",
            "\u001b[?25hCollecting h5py==3.3.0\n",
            "  Downloading h5py-3.3.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.1 MB 64.1 MB/s \n",
            "\u001b[?25hCollecting humanfriendly==9.2\n",
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            "\u001b[?25hCollecting importlib-metadata==3.10.1\n",
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            "Collecting ipykernel==6.0.3\n",
            "  Downloading ipykernel-6.0.3-py3-none-any.whl (122 kB)\n",
            "\u001b[K     |████████████████████████████████| 122 kB 72.9 MB/s \n",
            "\u001b[?25hCollecting ipython==7.26.0\n",
            "  Downloading ipython-7.26.0-py3-none-any.whl (786 kB)\n",
            "\u001b[K     |████████████████████████████████| 786 kB 48.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: ipython-genutils==0.2.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 28)) (0.2.0)\n",
            "Requirement already satisfied: ipywidgets==7.6.3 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 29)) (7.6.3)\n",
            "Requirement already satisfied: jedi==0.18.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 30)) (0.18.0)\n",
            "Collecting Jinja2==3.0.1\n",
            "  Downloading Jinja2-3.0.1-py3-none-any.whl (133 kB)\n",
            "\u001b[K     |████████████████████████████████| 133 kB 77.6 MB/s \n",
            "\u001b[?25hRequirement already satisfied: joblib==1.0.1 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 32)) (1.0.1)\n",
            "Collecting jsonschema==3.2.0\n",
            "  Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB)\n",
            "\u001b[K     |████████████████████████████████| 56 kB 5.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: jupyter==1.0.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 34)) (1.0.0)\n",
            "Collecting jupyter-client==6.2.0\n",
            "  Downloading jupyter_client-6.2.0-py3-none-any.whl (112 kB)\n",
            "\u001b[K     |████████████████████████████████| 112 kB 68.6 MB/s \n",
            "\u001b[?25hCollecting jupyter-console==6.4.0\n",
            "  Downloading jupyter_console-6.4.0-py3-none-any.whl (22 kB)\n",
            "Requirement already satisfied: jupyter-core==4.7.1 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 37)) (4.7.1)\n",
            "Requirement already satisfied: jupyterlab-pygments==0.1.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 38)) (0.1.2)\n",
            "Requirement already satisfied: jupyterlab-widgets==1.0.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 39)) (1.0.0)\n",
            "Requirement already satisfied: kiwisolver==1.3.1 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 40)) (1.3.1)\n",
            "Requirement already satisfied: MarkupSafe==2.0.1 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 41)) (2.0.1)\n",
            "Collecting matplotlib==3.4.2\n",
            "  Downloading matplotlib-3.4.2-cp37-cp37m-manylinux1_x86_64.whl (10.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 10.3 MB 60.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: matplotlib-inline==0.1.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 43)) (0.1.2)\n",
            "Requirement already satisfied: mistune==0.8.4 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 44)) (0.8.4)\n",
            "Collecting mkl-fft==1.3.0\n",
            "  Downloading mkl_fft-1.3.0-1-cp37-cp37m-manylinux2014_x86_64.whl (240 kB)\n",
            "\u001b[K     |████████████████████████████████| 240 kB 59.6 MB/s \n",
            "\u001b[?25hCollecting mkl-random==1.2.2\n",
            "  Downloading mkl_random-1.2.2-1-cp37-cp37m-manylinux2014_x86_64.whl (379 kB)\n",
            "\u001b[K     |████████████████████████████████| 379 kB 65.4 MB/s \n",
            "\u001b[?25hCollecting mkl-service==2.4.0\n",
            "  Downloading mkl_service-2.4.0-0-cp37-cp37m-manylinux2014_x86_64.whl (63 kB)\n",
            "\u001b[K     |████████████████████████████████| 63 kB 2.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: nbclient==0.5.3 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 48)) (0.5.3)\n",
            "Collecting nbconvert==6.1.0\n",
            "  Downloading nbconvert-6.1.0-py3-none-any.whl (551 kB)\n",
            "\u001b[K     |████████████████████████████████| 551 kB 61.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: nbformat==5.1.3 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 50)) (5.1.3)\n",
            "Requirement already satisfied: nest-asyncio==1.5.1 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 51)) (1.5.1)\n",
            "Collecting ninja==1.10.2\n",
            "  Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)\n",
            "\u001b[K     |████████████████████████████████| 108 kB 75.1 MB/s \n",
            "\u001b[?25hCollecting nltk==3.6.2\n",
            "  Downloading nltk-3.6.2-py3-none-any.whl (1.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.5 MB 61.0 MB/s \n",
            "\u001b[?25hCollecting notebook==6.4.2\n",
            "  Downloading notebook-6.4.2-py3-none-any.whl (9.7 MB)\n",
            "\u001b[K     |████████████████████████████████| 9.7 MB 23.6 MB/s \n",
            "\u001b[?25hCollecting numpy==1.20.3\n",
            "  Downloading numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 15.3 MB 169 kB/s \n",
            "\u001b[?25hCollecting olefile==0.46\n",
            "  Downloading olefile-0.46.zip (112 kB)\n",
            "\u001b[K     |████████████████████████████████| 112 kB 53.6 MB/s \n",
            "\u001b[?25hCollecting opencv-python==4.5.3.56\n",
            "  Downloading opencv_python-4.5.3.56-cp37-cp37m-manylinux2014_x86_64.whl (49.9 MB)\n",
            "\u001b[K     |████████████████████████████████| 49.9 MB 15 kB/s \n",
            "\u001b[?25hRequirement already satisfied: packaging==21.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 58)) (21.0)\n",
            "Collecting pandas==1.3.1\n",
            "  Downloading pandas-1.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 11.5 MB 64.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pandocfilters==1.4.3 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 60)) (1.4.3)\n",
            "Requirement already satisfied: parso==0.8.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 61)) (0.8.2)\n",
            "Requirement already satisfied: pickleshare==0.7.5 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 62)) (0.7.5)\n",
            "Collecting Pillow==8.3.1\n",
            "  Downloading Pillow-8.3.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (3.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.0 MB 50.1 MB/s \n",
            "\u001b[?25hCollecting pip==21.2.2\n",
            "  Downloading pip-21.2.2-py3-none-any.whl (1.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.6 MB 40.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: prometheus-client==0.11.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 65)) (0.11.0)\n",
            "Collecting prompt-toolkit==3.0.19\n",
            "  Downloading prompt_toolkit-3.0.19-py3-none-any.whl (368 kB)\n",
            "\u001b[K     |████████████████████████████████| 368 kB 50.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pycocotools==2.0.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 67)) (2.0.2)\n",
            "Requirement already satisfied: pycparser==2.20 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 68)) (2.20)\n",
            "Collecting Pygments==2.9.0\n",
            "  Downloading Pygments-2.9.0-py3-none-any.whl (1.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.0 MB 54.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pyparsing==2.4.7 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 70)) (2.4.7)\n",
            "Collecting pyquaternion==0.9.9\n",
            "  Downloading pyquaternion-0.9.9-py3-none-any.whl (14 kB)\n",
            "Collecting pyreadline==2.1\n",
            "  Downloading pyreadline-2.1.zip (109 kB)\n",
            "\u001b[K     |████████████████████████████████| 109 kB 69.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pyrsistent==0.18.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 73)) (0.18.0)\n",
            "Collecting python-dateutil==2.8.2\n",
            "  Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\n",
            "\u001b[K     |████████████████████████████████| 247 kB 58.7 MB/s \n",
            "\u001b[?25hCollecting pytz==2021.1\n",
            "  Downloading pytz-2021.1-py2.py3-none-any.whl (510 kB)\n",
            "\u001b[K     |████████████████████████████████| 510 kB 45.9 MB/s \n",
            "\u001b[31mERROR: Could not find a version that satisfies the requirement pywin32==301 (from versions: none)\u001b[0m\n",
            "\u001b[31mERROR: No matching distribution found for pywin32==301\u001b[0m\n",
            "\u001b[?25h"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-ub2Ss2oMbpT",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "be60c496-7f15-48bc-8f00-83c0d388c4e3"
      },
      "source": [
        "!pip install --yes --file requirements.txt \n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Usage:   \n",
            "  pip3 install [options] <requirement specifier> [package-index-options] ...\n",
            "  pip3 install [options] -r <requirements file> [package-index-options] ...\n",
            "  pip3 install [options] [-e] <vcs project url> ...\n",
            "  pip3 install [options] [-e] <local project path> ...\n",
            "  pip3 install [options] <archive url/path> ...\n",
            "\n",
            "no such option: --yes\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}