Web_App_Launcher.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Web App Launcher.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ASM9vX-D93Xm"
      },
      "source": [
        "# Installing EfficientNet"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sFpHUox600m-",
        "outputId": "885db299-d424-40ae-b1fd-ced7877c4d5f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "!pip install -q efficientnet\n",
        "import efficientnet.tfkeras as efn"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "\u001b[?25h"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0fgf3ZkS-CKp"
      },
      "source": [
        "# Installing Streamlit for Web App"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CZamWi3tznpm",
        "outputId": "8e777742-bb7b-4d4c-b77a-37da9b3a740f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "!pip install streamlit"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting streamlit\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/6c/0d/bb0bd245beeeee38a19286718069ffeef1c651106cd4bbebae9091e4fc1f/streamlit-0.67.1-py2.py3-none-any.whl (7.2MB)\n",
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            "\u001b[?25hCollecting botocore>=1.13.44\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/90/d8/c3f7e9a5bac138e7f79869fea9b6c581ec592ed2b5c44ad31481a834992c/botocore-1.18.14-py2.py3-none-any.whl (6.7MB)\n",
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            "Collecting blinker\n",
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            "\u001b[K     |████████████████████████████████| 112kB 62.2MB/s \n",
            "\u001b[?25hCollecting boto3\n",
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            "\u001b[?25hCollecting watchdog\n",
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            "Collecting validators\n",
            "  Downloading https://files.pythonhosted.org/packages/41/4a/3360ff3cf2b4a1b9721ac1fbff5f84663f41047d9874b3aa1ac82e862c44/validators-0.18.1-py3-none-any.whl\n",
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            "Collecting base58\n",
            "  Downloading https://files.pythonhosted.org/packages/3c/03/58572025c77b9e6027155b272a1b96298e711cd4f95c24967f7137ab0c4b/base58-2.0.1-py3-none-any.whl\n",
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            "Collecting pydeck>=0.1.dev5\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/51/1e/296f4108bf357e684617a776ecaf06ee93b43e30c35996dfac1aa985aa6c/pydeck-0.5.0b1-py2.py3-none-any.whl (4.4MB)\n",
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            "Collecting enum-compat\n",
            "  Downloading https://files.pythonhosted.org/packages/55/ae/467bc4509246283bb59746e21a1a2f5a8aecbef56b1fa6eaca78cd438c8b/enum_compat-0.0.3-py3-none-any.whl\n",
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            "Collecting jmespath<1.0.0,>=0.7.1\n",
            "  Downloading https://files.pythonhosted.org/packages/07/cb/5f001272b6faeb23c1c9e0acc04d48eaaf5c862c17709d20e3469c6e0139/jmespath-0.10.0-py2.py3-none-any.whl\n",
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            "Collecting s3transfer<0.4.0,>=0.3.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/69/79/e6afb3d8b0b4e96cefbdc690f741d7dd24547ff1f94240c997a26fa908d3/s3transfer-0.3.3-py2.py3-none-any.whl (69kB)\n",
            "\u001b[K     |████████████████████████████████| 71kB 9.3MB/s \n",
            "\u001b[?25hCollecting pathtools>=0.1.1\n",
            "  Downloading https://files.pythonhosted.org/packages/e7/7f/470d6fcdf23f9f3518f6b0b76be9df16dcc8630ad409947f8be2eb0ed13a/pathtools-0.1.2.tar.gz\n",
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            "Requirement already satisfied: decorator>=3.4.0 in /usr/local/lib/python3.6/dist-packages (from validators->streamlit) (4.4.2)\n",
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            "Collecting ipykernel>=5.1.2; python_version >= \"3.4\"\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/52/19/c2812690d8b340987eecd2cbc18549b1d130b94c5d97fcbe49f5f8710edf/ipykernel-5.3.4-py3-none-any.whl (120kB)\n",
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            "Requirement already satisfied: webencodings in /usr/local/lib/python3.6/dist-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->pydeck>=0.1.dev5->streamlit) (0.5.1)\n",
            "Building wheels for collected packages: blinker, watchdog, pathtools\n",
            "  Building wheel for blinker (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for blinker: filename=blinker-1.4-cp36-none-any.whl size=13450 sha256=bd02f267537c52811ae9bcbc8b0d91f8b9c5c3322f9b604f8576cbb8ea11bd23\n",
            "  Stored in directory: /root/.cache/pip/wheels/92/a0/00/8690a57883956a301d91cf4ec999cc0b258b01e3f548f86e89\n",
            "  Building wheel for watchdog (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for watchdog: filename=watchdog-0.10.3-cp36-none-any.whl size=73873 sha256=d91694c745e54c7e405194328950423cbcafcd89bb88f39e7ce93fa4b8019847\n",
            "  Stored in directory: /root/.cache/pip/wheels/a8/1d/38/2c19bb311f67cc7b4d07a2ec5ea36ab1a0a0ea50db994a5bc7\n",
            "  Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pathtools: filename=pathtools-0.1.2-cp36-none-any.whl size=8785 sha256=5abf89364557fad397ecb1e6b8db447bbd9ea76dbbc3c1747c84c22946a299b2\n",
            "  Stored in directory: /root/.cache/pip/wheels/0b/04/79/c3b0c3a0266a3cb4376da31e5bfe8bba0c489246968a68e843\n",
            "Successfully built blinker watchdog pathtools\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement ipykernel~=4.10, but you'll have ipykernel 5.3.4 which is incompatible.\u001b[0m\n",
            "Installing collected packages: jmespath, botocore, blinker, s3transfer, boto3, pathtools, watchdog, validators, base58, ipykernel, pydeck, enum-compat, streamlit\n",
            "  Found existing installation: ipykernel 4.10.1\n",
            "    Uninstalling ipykernel-4.10.1:\n",
            "      Successfully uninstalled ipykernel-4.10.1\n",
            "Successfully installed base58-2.0.1 blinker-1.4 boto3-1.15.14 botocore-1.18.14 enum-compat-0.0.3 ipykernel-5.3.4 jmespath-0.10.0 pathtools-0.1.2 pydeck-0.5.0b1 s3transfer-0.3.3 streamlit-0.67.1 validators-0.18.1 watchdog-0.10.3\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "ipykernel"
                ]
              }
            }
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8v4qE6osO9dH",
        "outputId": "38ee56e9-2152-4e29-87f8-1a4bffd1a132",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        }
      },
      "source": [
        "#Installing necessary libraries\n",
        "!pip install gevent"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting gevent\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/3f/92/b80b922f08f222faca53c8d278e2e612192bc74b0e1f0db2f80a6ee46982/gevent-20.9.0-cp36-cp36m-manylinux2010_x86_64.whl (5.3MB)\n",
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            "\u001b[?25hCollecting zope.event\n",
            "  Downloading https://files.pythonhosted.org/packages/9e/85/b45408c64f3b888976f1d5b37eed8d746b8d5729a66a49ec846fda27d371/zope.event-4.5.0-py2.py3-none-any.whl\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from gevent) (50.3.0)\n",
            "Collecting greenlet>=0.4.17; platform_python_implementation == \"CPython\"\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/80/d0/532e160c777b42f6f393f9de8c88abb8af6c892037c55e4d3a8a211324dd/greenlet-0.4.17-cp36-cp36m-manylinux1_x86_64.whl (44kB)\n",
            "\u001b[K     |████████████████████████████████| 51kB 7.2MB/s \n",
            "\u001b[?25hInstalling collected packages: zope.interface, zope.event, greenlet, gevent\n",
            "Successfully installed gevent-20.9.0 greenlet-0.4.17 zope.event-4.5.0 zope.interface-5.1.2\n"
          ],
          "name": "stdout"
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      "cell_type": "code",
      "metadata": {
        "id": "qgoUhjJwWftI",
        "outputId": "d4367881-ddff-4254-e1c7-361a87a3a674",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 557
        }
      },
      "source": [
        "# Upgrading IpyKernel\n",
        "!pip install -U ipykernel\n",
        "# Insatlling Pyngrok for generating public url token\n",
        "!pip install pyngrok"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already up-to-date: ipykernel in /usr/local/lib/python3.6/dist-packages (5.3.4)\n",
            "Requirement already satisfied, skipping upgrade: jupyter-client in /usr/local/lib/python3.6/dist-packages (from ipykernel) (5.3.5)\n",
            "Requirement already satisfied, skipping upgrade: tornado>=4.2 in /usr/local/lib/python3.6/dist-packages (from ipykernel) (5.1.1)\n",
            "Requirement already satisfied, skipping upgrade: traitlets>=4.1.0 in /usr/local/lib/python3.6/dist-packages (from ipykernel) (4.3.3)\n",
            "Requirement already satisfied, skipping upgrade: ipython>=5.0.0 in /usr/local/lib/python3.6/dist-packages (from ipykernel) (5.5.0)\n",
            "Requirement already satisfied, skipping upgrade: pyzmq>=13 in /usr/local/lib/python3.6/dist-packages (from jupyter-client->ipykernel) (19.0.2)\n",
            "Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from jupyter-client->ipykernel) (2.8.1)\n",
            "Requirement already satisfied, skipping upgrade: jupyter-core>=4.6.0 in /usr/local/lib/python3.6/dist-packages (from jupyter-client->ipykernel) (4.6.3)\n",
            "Requirement already satisfied, skipping upgrade: ipython-genutils in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.1.0->ipykernel) (0.2.0)\n",
            "Requirement already satisfied, skipping upgrade: decorator in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.1.0->ipykernel) (4.4.2)\n",
            "Requirement already satisfied, skipping upgrade: six in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.1.0->ipykernel) (1.15.0)\n",
            "Requirement already satisfied, skipping upgrade: pygments in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (2.6.1)\n",
            "Requirement already satisfied, skipping upgrade: simplegeneric>0.8 in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (0.8.1)\n",
            "Requirement already satisfied, skipping upgrade: pexpect; sys_platform != \"win32\" in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (4.8.0)\n",
            "Requirement already satisfied, skipping upgrade: setuptools>=18.5 in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (50.3.0)\n",
            "Requirement already satisfied, skipping upgrade: pickleshare in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (0.7.5)\n",
            "Requirement already satisfied, skipping upgrade: prompt-toolkit<2.0.0,>=1.0.4 in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (1.0.18)\n",
            "Requirement already satisfied, skipping upgrade: ptyprocess>=0.5 in /usr/local/lib/python3.6/dist-packages (from pexpect; sys_platform != \"win32\"->ipython>=5.0.0->ipykernel) (0.6.0)\n",
            "Requirement already satisfied, skipping upgrade: wcwidth in /usr/local/lib/python3.6/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->ipython>=5.0.0->ipykernel) (0.2.5)\n",
            "Collecting pyngrok\n",
            "  Downloading https://files.pythonhosted.org/packages/87/93/09a09c5034fcef7cc956107a36beb4ba47924afeb70bea3626a3a4b76b77/pyngrok-4.1.13.tar.gz\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from pyngrok) (0.16.0)\n",
            "Requirement already satisfied: PyYAML in /usr/local/lib/python3.6/dist-packages (from pyngrok) (3.13)\n",
            "Building wheels for collected packages: pyngrok\n",
            "  Building wheel for pyngrok (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyngrok: filename=pyngrok-4.1.13-cp36-none-any.whl size=17053 sha256=dfead6e17e15206c0610ad4beb95069d186aac285675b81ccf2a76c646f5382b\n",
            "  Stored in directory: /root/.cache/pip/wheels/96/02/88/faeae1a755924349309500c9a1d40d5d67df3dc4b4e0d2f5bd\n",
            "Successfully built pyngrok\n",
            "Installing collected packages: pyngrok\n",
            "Successfully installed pyngrok-4.1.13\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4v_rT714mfqh",
        "outputId": "81ea4e39-ab8c-48fa-d2fe-a42988f07616",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 208
        }
      },
      "source": [
        "# Getting the necessary files for Ngrok to work\n",
        "!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n",
        "!unzip -qq ngrok-stable-linux-amd64.zip"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-10-08 11:14:53--  https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n",
            "Resolving bin.equinox.io (bin.equinox.io)... 3.225.89.236, 3.215.242.209, 54.164.152.149, ...\n",
            "Connecting to bin.equinox.io (bin.equinox.io)|3.225.89.236|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 13773305 (13M) [application/octet-stream]\n",
            "Saving to: ‘ngrok-stable-linux-amd64.zip’\n",
            "\n",
            "ngrok-stable-linux- 100%[===================>]  13.13M  13.9MB/s    in 0.9s    \n",
            "\n",
            "2020-10-08 11:14:54 (13.9 MB/s) - ‘ngrok-stable-linux-amd64.zip’ saved [13773305/13773305]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6pT8jq62n2Wf",
        "outputId": "c7af875a-0271-4cd9-f21e-b51d097cac1b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "#Getting the public URL\n",
        "get_ipython().system_raw('./ngrok http 8501 &')\n",
        "! curl -s http://localhost:4040/api/tunnels | python3 -c \\\n",
        "    \"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])\""
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "https://155c1efc3e64.ngrok.io\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WIuXlTZKn84K",
        "outputId": "96820f19-92ff-4010-aed1-3896d42943ae",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 991
        }
      },
      "source": [
        "#Running the streamlit server\n",
        "!streamlit run appstreamlit.py"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[0m\n",
            "\u001b[34m\u001b[1m  You can now view your Streamlit app in your browser.\u001b[0m\n",
            "\u001b[0m\n",
            "\u001b[34m  Network URL: \u001b[0m\u001b[1mhttp://172.28.0.2:8501\u001b[0m\n",
            "\u001b[34m  External URL: \u001b[0m\u001b[1mhttp://34.90.191.121:8501\u001b[0m\n",
            "\u001b[0m\n",
            "2020-10-08 11:18:39.529215: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n",
            "2020-10-08 11:18:40.690562: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1\n",
            "2020-10-08 11:18:40.745144: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-10-08 11:18:40.745763: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n",
            "pciBusID: 0000:00:04.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0\n",
            "coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.90GiB deviceMemoryBandwidth: 681.88GiB/s\n",
            "2020-10-08 11:18:40.745825: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n",
            "2020-10-08 11:18:40.982596: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n",
            "2020-10-08 11:18:41.120079: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n",
            "2020-10-08 11:18:41.146072: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n",
            "2020-10-08 11:18:41.447745: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n",
            "2020-10-08 11:18:41.482064: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n",
            "2020-10-08 11:18:41.993837: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-10-08 11:18:41.994021: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-10-08 11:18:41.994659: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-10-08 11:18:41.995206: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n",
            "2020-10-08 11:18:41.996089: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations:  AVX512F\n",
            "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2020-10-08 11:18:42.036895: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2000175000 Hz\n",
            "2020-10-08 11:18:42.037128: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x19b39c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2020-10-08 11:18:42.037171: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2020-10-08 11:18:42.168695: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-10-08 11:18:42.169348: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x19b3b80 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
            "2020-10-08 11:18:42.169390: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0\n",
            "2020-10-08 11:18:42.171080: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-10-08 11:18:42.171642: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n",
            "pciBusID: 0000:00:04.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0\n",
            "coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.90GiB deviceMemoryBandwidth: 681.88GiB/s\n",
            "2020-10-08 11:18:42.171747: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n",
            "2020-10-08 11:18:42.171801: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n",
            "2020-10-08 11:18:42.171828: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n",
            "2020-10-08 11:18:42.171859: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n",
            "2020-10-08 11:18:42.171883: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n",
            "2020-10-08 11:18:42.171906: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n",
            "2020-10-08 11:18:42.171929: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-10-08 11:18:42.172014: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-10-08 11:18:42.172616: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-10-08 11:18:42.173157: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n",
            "2020-10-08 11:18:42.177751: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n",
            "2020-10-08 11:18:46.200340: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-10-08 11:18:46.200395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]      0 \n",
            "2020-10-08 11:18:46.200407: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0:   N \n",
            "2020-10-08 11:18:46.204864: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-10-08 11:18:46.205506: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2020-10-08 11:18:46.206044: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n",
            "2020-10-08 11:18:46.206106: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14968 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "2020-10-08 11:20:01.091249: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n",
            "2020-10-08 11:20:02.529750: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n",
            "\u001b[34m  Stopping...\u001b[0m\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}