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"nbformat": 4, |
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"nbformat_minor": 0, |
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"metadata": { |
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"colab": { |
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"name": "ecg-mit.ipynb", |
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"provenance": [], |
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"collapsed_sections": [] |
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}, |
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"kernelspec": { |
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"name": "python3", |
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"display_name": "Python 3" |
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}, |
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"accelerator": "GPU" |
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}, |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"metadata": { |
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"id": "87hrfLwrHd24", |
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"colab_type": "text" |
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}, |
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"source": [ |
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"Make your google drive account and setup your google drive on your computer. \n", |
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"Open a new colab jupyter notebook at https://colab.research.google.com/drive\n", |
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"and follow next codes\n", |
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"Connect your google drive to the colab server. \n", |
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"And make sure you choose GPU at Edit/Notebook Setting. " |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"metadata": { |
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"id": "gzMhbJmEf9vC", |
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"colab_type": "code", |
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"colab": {} |
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}, |
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"source": [ |
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"from __future__ import division\n", |
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"from google.colab import drive\n", |
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"drive.mount('/content/gdrive')" |
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], |
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"execution_count": 0, |
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"cell_type": "code", |
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"metadata": { |
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"id": "15DCLJ6CEihX", |
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"colab_type": "code", |
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"outputId": "60b71728-bcb5-46e7-9c5b-4f79ed57e008", |
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"colab": { |
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"base_uri": "https://localhost:8080/", |
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"height": 190 |
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} |
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}, |
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"source": [ |
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"!pip install deepdish" |
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], |
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"execution_count": 8, |
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"outputs": [ |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Collecting deepdish\n", |
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" Downloading https://files.pythonhosted.org/packages/6e/39/2a47c852651982bc5eb39212ac110284dd20126bdc7b49bde401a0139f5d/deepdish-0.3.6-py2.py3-none-any.whl\n", |
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"Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from deepdish) (1.3.1)\n", |
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"Requirement already satisfied: tables in /usr/local/lib/python3.6/dist-packages (from deepdish) (3.4.4)\n", |
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"Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from deepdish) (1.16.5)\n", |
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"Requirement already satisfied: numexpr>=2.5.2 in /usr/local/lib/python3.6/dist-packages (from tables->deepdish) (2.7.0)\n", |
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"Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.6/dist-packages (from tables->deepdish) (1.12.0)\n", |
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"Installing collected packages: deepdish\n", |
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"Successfully installed deepdish-0.3.6\n" |
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], |
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"name": "stdout" |
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} |
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] |
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"id": "8z_U7Dgxkm3K", |
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"colab": { |
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"base_uri": "https://localhost:8080/", |
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"height": 581 |
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"outputId": "26ed6eaa-c057-4d59-c986-e9d59d025400" |
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}, |
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"source": [ |
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"!pip install wfdb" |
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], |
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"execution_count": 10, |
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"outputs": [ |
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{ |
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"text": [ |
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"Collecting wfdb\n", |
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/b2/96/c2200539fdf4f087e14d30ed62a66544b6f441196bcb8ecc7a29ec6503b9/wfdb-2.2.1.tar.gz (94kB)\n", |
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"\u001b[K |████████████████████████████████| 102kB 8.4MB/s \n", |
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"\u001b[?25hCollecting nose>=1.3.7 (from wfdb)\n", |
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/15/d8/dd071918c040f50fa1cf80da16423af51ff8ce4a0f2399b7bf8de45ac3d9/nose-1.3.7-py3-none-any.whl (154kB)\n", |
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"\u001b[K |████████████████████████████████| 163kB 21.9MB/s \n", |
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"Requirement already satisfied: pytz>=2011k in /usr/local/lib/python3.6/dist-packages (from pandas>=0.19.1->wfdb) (2018.9)\n", |
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"Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from kiwisolver>=1.0.1->matplotlib>=1.5.1->wfdb) (41.2.0)\n", |
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"Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->sklearn>=0.0->wfdb) (0.14.0)\n", |
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"Building wheels for collected packages: wfdb\n", |
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" Building wheel for wfdb (setup.py) ... \u001b[?25l\u001b[?25hdone\n", |
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" Created wheel for wfdb: filename=wfdb-2.2.1-cp36-none-any.whl size=100368 sha256=b342c7d5b55451b64dcf04ce234b7d257be809893901eae3343d3bc17db4e277\n", |
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" Stored in directory: /root/.cache/pip/wheels/bb/a9/00/0078d26b0c15b31be0001af8eb659496709c361c69641303f1\n", |
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"Successfully built wfdb\n", |
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"Installing collected packages: nose, wfdb\n", |
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"Successfully installed nose-1.3.7 wfdb-2.2.1\n" |
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], |
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"name": "stdout" |
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} |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"metadata": { |
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"id": "_KHsyFPyLNJR", |
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"colab_type": "code", |
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"outputId": "c7f83be4-2e95-42a6-90bb-e50d04b094c7", |
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"colab": { |
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"base_uri": "https://localhost:8080/", |
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"height": 310 |
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} |
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}, |
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"source": [ |
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"!pip install numpy==1.15.4" |
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], |
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"execution_count": 9, |
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"outputs": [ |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Collecting numpy==1.15.4\n", |
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/ff/7f/9d804d2348471c67a7d8b5f84f9bc59fd1cefa148986f2b74552f8573555/numpy-1.15.4-cp36-cp36m-manylinux1_x86_64.whl (13.9MB)\n", |
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"\u001b[K |████████████████████████████████| 13.9MB 6.5MB/s \n", |
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"\u001b[31mERROR: tensorflow 1.15.0rc3 has requirement numpy<2.0,>=1.16.0, but you'll have numpy 1.15.4 which is incompatible.\u001b[0m\n", |
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"\u001b[31mERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.\u001b[0m\n", |
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"\u001b[31mERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.\u001b[0m\n", |
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"\u001b[?25hInstalling collected packages: numpy\n", |
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" Found existing installation: numpy 1.16.5\n", |
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" Uninstalling numpy-1.16.5:\n", |
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" Successfully uninstalled numpy-1.16.5\n", |
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"Successfully installed numpy-1.15.4\n" |
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"data": { |
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"application/vnd.colab-display-data+json": { |
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"pip_warning": { |
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"packages": [ |
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"numpy" |
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} |
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}, |
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"metadata": { |
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"tags": [] |
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} |
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} |
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] |
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"cell_type": "markdown", |
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"metadata": { |
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"id": "uD-Vt5ZFHVCP", |
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"colab_type": "text" |
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}, |
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"source": [ |
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"Here, restart the runtime. " |
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] |
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}, |
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{ |
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"metadata": { |
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"id": "X1OAY5xYIdxN", |
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"colab_type": "code", |
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"outputId": "76335e21-67bf-49a9-82ac-59fdc4c9b93f", |
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"colab": { |
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"base_uri": "https://localhost:8080/", |
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"height": 34 |
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} |
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}, |
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"source": [ |
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"cd gdrive/'My Drive'" |
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], |
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"execution_count": 4, |
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"outputs": [ |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/gdrive/My Drive\n" |
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], |
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"name": "stdout" |
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} |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"metadata": { |
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"id": "YUlbswjMIB1W", |
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"colab_type": "code", |
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"colab": {} |
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}, |
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"source": [ |
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"!git clone https://github.com/physhik/ecg-mit-bih.git" |
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], |
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"execution_count": 0, |
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"outputs": [] |
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}, |
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{ |
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"cell_type": "code", |
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"metadata": { |
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"id": "RLj0fQiVOTbd", |
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"colab_type": "code", |
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"outputId": "2312b803-0448-4fc3-d44e-e057fd214d3c", |
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"colab": { |
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"base_uri": "https://localhost:8080/", |
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"height": 34 |
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} |
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}, |
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"source": [ |
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"cd ecg-mit-bih/src" |
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], |
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"execution_count": 5, |
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"outputs": [ |
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{ |
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"output_type": "stream", |
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"text": [ |
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"/content/gdrive/My Drive/ecg-mit-bih/src\n" |
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], |
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"name": "stdout" |
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} |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"metadata": { |
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"id": "4mXnKUSKIm1h", |
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"colab_type": "code", |
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"colab": {} |
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}, |
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"source": [ |
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"# You need to download data and excute data processing. However, it takes much time and it run without GPU. I recommend you to run the codes at your local computer instead. \n", |
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"\n", |
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"# !python data.py --downloading True" |
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], |
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"execution_count": 0, |
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"outputs": [] |
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}, |
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{ |
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"cell_type": "code", |
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"metadata": { |
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"id": "0gdiDCuAOU9O", |
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"colab_type": "code", |
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"outputId": "cc895b43-b9e4-4660-f33a-b155811d6bff", |
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"colab": { |
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"base_uri": "https://localhost:8080/", |
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"height": 1000 |
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} |
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}, |
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"source": [ |
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"# Change the configurations upon your taste. The detail options of the configurations can be found at config.py file. \n", |
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"\n", |
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"!python train.py --epoch 11" |
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], |
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"execution_count": 0, |
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"outputs": [ |
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{ |
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"output_type": "stream", |
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"text": [ |
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"Using TensorFlow backend.\n", |
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"feature: MLII\n", |
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"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:541: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n", |
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"\n", |
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"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n", |
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"\n", |
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"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4479: The name tf.truncated_normal is deprecated. Please use tf.random.truncated_normal instead.\n", |
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"\n", |
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"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:148: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n", |
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"\n", |
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"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4267: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n", |
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"\n", |
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"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3733: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n", |
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"Instructions for updating:\n", |
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308 |
"Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n", |
|
|
309 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4432: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n", |
|
|
310 |
"\n", |
|
|
311 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:793: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n", |
|
|
312 |
"\n", |
|
|
313 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3576: The name tf.log is deprecated. Please use tf.math.log instead.\n", |
|
|
314 |
"\n", |
|
|
315 |
"Model: \"model_1\"\n", |
|
|
316 |
"__________________________________________________________________________________________________\n", |
|
|
317 |
"Layer (type) Output Shape Param # Connected to \n", |
|
|
318 |
"==================================================================================================\n", |
|
|
319 |
"input (InputLayer) (None, 256, 1) 0 \n", |
|
|
320 |
"__________________________________________________________________________________________________\n", |
|
|
321 |
"conv1d_1 (Conv1D) (None, 256, 32) 544 input[0][0] \n", |
|
|
322 |
"__________________________________________________________________________________________________\n", |
|
|
323 |
"batch_normalization_1 (BatchNor (None, 256, 32) 128 conv1d_1[0][0] \n", |
|
|
324 |
"__________________________________________________________________________________________________\n", |
|
|
325 |
"activation_1 (Activation) (None, 256, 32) 0 batch_normalization_1[0][0] \n", |
|
|
326 |
"__________________________________________________________________________________________________\n", |
|
|
327 |
"conv1d_2 (Conv1D) (None, 256, 32) 16416 activation_1[0][0] \n", |
|
|
328 |
"__________________________________________________________________________________________________\n", |
|
|
329 |
"batch_normalization_2 (BatchNor (None, 256, 32) 128 conv1d_2[0][0] \n", |
|
|
330 |
"__________________________________________________________________________________________________\n", |
|
|
331 |
"activation_2 (Activation) (None, 256, 32) 0 batch_normalization_2[0][0] \n", |
|
|
332 |
"__________________________________________________________________________________________________\n", |
|
|
333 |
"dropout_1 (Dropout) (None, 256, 32) 0 activation_2[0][0] \n", |
|
|
334 |
"__________________________________________________________________________________________________\n", |
|
|
335 |
"max_pooling1d_1 (MaxPooling1D) (None, 256, 32) 0 activation_1[0][0] \n", |
|
|
336 |
"__________________________________________________________________________________________________\n", |
|
|
337 |
"conv1d_3 (Conv1D) (None, 256, 32) 16416 dropout_1[0][0] \n", |
|
|
338 |
"__________________________________________________________________________________________________\n", |
|
|
339 |
"add_1 (Add) (None, 256, 32) 0 max_pooling1d_1[0][0] \n", |
|
|
340 |
" conv1d_3[0][0] \n", |
|
|
341 |
"__________________________________________________________________________________________________\n", |
|
|
342 |
"batch_normalization_3 (BatchNor (None, 256, 32) 128 add_1[0][0] \n", |
|
|
343 |
"__________________________________________________________________________________________________\n", |
|
|
344 |
"activation_3 (Activation) (None, 256, 32) 0 batch_normalization_3[0][0] \n", |
|
|
345 |
"__________________________________________________________________________________________________\n", |
|
|
346 |
"conv1d_4 (Conv1D) (None, 128, 32) 16416 activation_3[0][0] \n", |
|
|
347 |
"__________________________________________________________________________________________________\n", |
|
|
348 |
"batch_normalization_4 (BatchNor (None, 128, 32) 128 conv1d_4[0][0] \n", |
|
|
349 |
"__________________________________________________________________________________________________\n", |
|
|
350 |
"activation_4 (Activation) (None, 128, 32) 0 batch_normalization_4[0][0] \n", |
|
|
351 |
"__________________________________________________________________________________________________\n", |
|
|
352 |
"dropout_2 (Dropout) (None, 128, 32) 0 activation_4[0][0] \n", |
|
|
353 |
"__________________________________________________________________________________________________\n", |
|
|
354 |
"max_pooling1d_2 (MaxPooling1D) (None, 128, 32) 0 add_1[0][0] \n", |
|
|
355 |
"__________________________________________________________________________________________________\n", |
|
|
356 |
"conv1d_5 (Conv1D) (None, 128, 32) 16416 dropout_2[0][0] \n", |
|
|
357 |
"__________________________________________________________________________________________________\n", |
|
|
358 |
"add_2 (Add) (None, 128, 32) 0 max_pooling1d_2[0][0] \n", |
|
|
359 |
" conv1d_5[0][0] \n", |
|
|
360 |
"__________________________________________________________________________________________________\n", |
|
|
361 |
"batch_normalization_5 (BatchNor (None, 128, 32) 128 add_2[0][0] \n", |
|
|
362 |
"__________________________________________________________________________________________________\n", |
|
|
363 |
"activation_5 (Activation) (None, 128, 32) 0 batch_normalization_5[0][0] \n", |
|
|
364 |
"__________________________________________________________________________________________________\n", |
|
|
365 |
"conv1d_6 (Conv1D) (None, 128, 32) 16416 activation_5[0][0] \n", |
|
|
366 |
"__________________________________________________________________________________________________\n", |
|
|
367 |
"batch_normalization_6 (BatchNor (None, 128, 32) 128 conv1d_6[0][0] \n", |
|
|
368 |
"__________________________________________________________________________________________________\n", |
|
|
369 |
"activation_6 (Activation) (None, 128, 32) 0 batch_normalization_6[0][0] \n", |
|
|
370 |
"__________________________________________________________________________________________________\n", |
|
|
371 |
"dropout_3 (Dropout) (None, 128, 32) 0 activation_6[0][0] \n", |
|
|
372 |
"__________________________________________________________________________________________________\n", |
|
|
373 |
"max_pooling1d_3 (MaxPooling1D) (None, 128, 32) 0 add_2[0][0] \n", |
|
|
374 |
"__________________________________________________________________________________________________\n", |
|
|
375 |
"conv1d_7 (Conv1D) (None, 128, 32) 16416 dropout_3[0][0] \n", |
|
|
376 |
"__________________________________________________________________________________________________\n", |
|
|
377 |
"add_3 (Add) (None, 128, 32) 0 max_pooling1d_3[0][0] \n", |
|
|
378 |
" conv1d_7[0][0] \n", |
|
|
379 |
"__________________________________________________________________________________________________\n", |
|
|
380 |
"batch_normalization_7 (BatchNor (None, 128, 32) 128 add_3[0][0] \n", |
|
|
381 |
"__________________________________________________________________________________________________\n", |
|
|
382 |
"activation_7 (Activation) (None, 128, 32) 0 batch_normalization_7[0][0] \n", |
|
|
383 |
"__________________________________________________________________________________________________\n", |
|
|
384 |
"conv1d_8 (Conv1D) (None, 64, 32) 16416 activation_7[0][0] \n", |
|
|
385 |
"__________________________________________________________________________________________________\n", |
|
|
386 |
"batch_normalization_8 (BatchNor (None, 64, 32) 128 conv1d_8[0][0] \n", |
|
|
387 |
"__________________________________________________________________________________________________\n", |
|
|
388 |
"activation_8 (Activation) (None, 64, 32) 0 batch_normalization_8[0][0] \n", |
|
|
389 |
"__________________________________________________________________________________________________\n", |
|
|
390 |
"dropout_4 (Dropout) (None, 64, 32) 0 activation_8[0][0] \n", |
|
|
391 |
"__________________________________________________________________________________________________\n", |
|
|
392 |
"max_pooling1d_4 (MaxPooling1D) (None, 64, 32) 0 add_3[0][0] \n", |
|
|
393 |
"__________________________________________________________________________________________________\n", |
|
|
394 |
"conv1d_9 (Conv1D) (None, 64, 32) 16416 dropout_4[0][0] \n", |
|
|
395 |
"__________________________________________________________________________________________________\n", |
|
|
396 |
"add_4 (Add) (None, 64, 32) 0 max_pooling1d_4[0][0] \n", |
|
|
397 |
" conv1d_9[0][0] \n", |
|
|
398 |
"__________________________________________________________________________________________________\n", |
|
|
399 |
"batch_normalization_9 (BatchNor (None, 64, 32) 128 add_4[0][0] \n", |
|
|
400 |
"__________________________________________________________________________________________________\n", |
|
|
401 |
"activation_9 (Activation) (None, 64, 32) 0 batch_normalization_9[0][0] \n", |
|
|
402 |
"__________________________________________________________________________________________________\n", |
|
|
403 |
"conv1d_10 (Conv1D) (None, 64, 32) 16416 activation_9[0][0] \n", |
|
|
404 |
"__________________________________________________________________________________________________\n", |
|
|
405 |
"batch_normalization_10 (BatchNo (None, 64, 32) 128 conv1d_10[0][0] \n", |
|
|
406 |
"__________________________________________________________________________________________________\n", |
|
|
407 |
"activation_10 (Activation) (None, 64, 32) 0 batch_normalization_10[0][0] \n", |
|
|
408 |
"__________________________________________________________________________________________________\n", |
|
|
409 |
"dropout_5 (Dropout) (None, 64, 32) 0 activation_10[0][0] \n", |
|
|
410 |
"__________________________________________________________________________________________________\n", |
|
|
411 |
"max_pooling1d_5 (MaxPooling1D) (None, 64, 32) 0 add_4[0][0] \n", |
|
|
412 |
"__________________________________________________________________________________________________\n", |
|
|
413 |
"conv1d_11 (Conv1D) (None, 64, 32) 16416 dropout_5[0][0] \n", |
|
|
414 |
"__________________________________________________________________________________________________\n", |
|
|
415 |
"add_5 (Add) (None, 64, 32) 0 max_pooling1d_5[0][0] \n", |
|
|
416 |
" conv1d_11[0][0] \n", |
|
|
417 |
"__________________________________________________________________________________________________\n", |
|
|
418 |
"batch_normalization_11 (BatchNo (None, 64, 32) 128 add_5[0][0] \n", |
|
|
419 |
"__________________________________________________________________________________________________\n", |
|
|
420 |
"activation_11 (Activation) (None, 64, 32) 0 batch_normalization_11[0][0] \n", |
|
|
421 |
"__________________________________________________________________________________________________\n", |
|
|
422 |
"conv1d_12 (Conv1D) (None, 32, 64) 32832 activation_11[0][0] \n", |
|
|
423 |
"__________________________________________________________________________________________________\n", |
|
|
424 |
"batch_normalization_12 (BatchNo (None, 32, 64) 256 conv1d_12[0][0] \n", |
|
|
425 |
"__________________________________________________________________________________________________\n", |
|
|
426 |
"activation_12 (Activation) (None, 32, 64) 0 batch_normalization_12[0][0] \n", |
|
|
427 |
"__________________________________________________________________________________________________\n", |
|
|
428 |
"max_pooling1d_6 (MaxPooling1D) (None, 32, 32) 0 add_5[0][0] \n", |
|
|
429 |
"__________________________________________________________________________________________________\n", |
|
|
430 |
"dropout_6 (Dropout) (None, 32, 64) 0 activation_12[0][0] \n", |
|
|
431 |
"__________________________________________________________________________________________________\n", |
|
|
432 |
"lambda_1 (Lambda) (None, 32, 64) 0 max_pooling1d_6[0][0] \n", |
|
|
433 |
"__________________________________________________________________________________________________\n", |
|
|
434 |
"conv1d_13 (Conv1D) (None, 32, 64) 65600 dropout_6[0][0] \n", |
|
|
435 |
"__________________________________________________________________________________________________\n", |
|
|
436 |
"add_6 (Add) (None, 32, 64) 0 lambda_1[0][0] \n", |
|
|
437 |
" conv1d_13[0][0] \n", |
|
|
438 |
"__________________________________________________________________________________________________\n", |
|
|
439 |
"batch_normalization_13 (BatchNo (None, 32, 64) 256 add_6[0][0] \n", |
|
|
440 |
"__________________________________________________________________________________________________\n", |
|
|
441 |
"activation_13 (Activation) (None, 32, 64) 0 batch_normalization_13[0][0] \n", |
|
|
442 |
"__________________________________________________________________________________________________\n", |
|
|
443 |
"conv1d_14 (Conv1D) (None, 32, 64) 65600 activation_13[0][0] \n", |
|
|
444 |
"__________________________________________________________________________________________________\n", |
|
|
445 |
"batch_normalization_14 (BatchNo (None, 32, 64) 256 conv1d_14[0][0] \n", |
|
|
446 |
"__________________________________________________________________________________________________\n", |
|
|
447 |
"activation_14 (Activation) (None, 32, 64) 0 batch_normalization_14[0][0] \n", |
|
|
448 |
"__________________________________________________________________________________________________\n", |
|
|
449 |
"dropout_7 (Dropout) (None, 32, 64) 0 activation_14[0][0] \n", |
|
|
450 |
"__________________________________________________________________________________________________\n", |
|
|
451 |
"max_pooling1d_7 (MaxPooling1D) (None, 32, 64) 0 add_6[0][0] \n", |
|
|
452 |
"__________________________________________________________________________________________________\n", |
|
|
453 |
"conv1d_15 (Conv1D) (None, 32, 64) 65600 dropout_7[0][0] \n", |
|
|
454 |
"__________________________________________________________________________________________________\n", |
|
|
455 |
"add_7 (Add) (None, 32, 64) 0 max_pooling1d_7[0][0] \n", |
|
|
456 |
" conv1d_15[0][0] \n", |
|
|
457 |
"__________________________________________________________________________________________________\n", |
|
|
458 |
"batch_normalization_15 (BatchNo (None, 32, 64) 256 add_7[0][0] \n", |
|
|
459 |
"__________________________________________________________________________________________________\n", |
|
|
460 |
"activation_15 (Activation) (None, 32, 64) 0 batch_normalization_15[0][0] \n", |
|
|
461 |
"__________________________________________________________________________________________________\n", |
|
|
462 |
"conv1d_16 (Conv1D) (None, 16, 64) 65600 activation_15[0][0] \n", |
|
|
463 |
"__________________________________________________________________________________________________\n", |
|
|
464 |
"batch_normalization_16 (BatchNo (None, 16, 64) 256 conv1d_16[0][0] \n", |
|
|
465 |
"__________________________________________________________________________________________________\n", |
|
|
466 |
"activation_16 (Activation) (None, 16, 64) 0 batch_normalization_16[0][0] \n", |
|
|
467 |
"__________________________________________________________________________________________________\n", |
|
|
468 |
"dropout_8 (Dropout) (None, 16, 64) 0 activation_16[0][0] \n", |
|
|
469 |
"__________________________________________________________________________________________________\n", |
|
|
470 |
"max_pooling1d_8 (MaxPooling1D) (None, 16, 64) 0 add_7[0][0] \n", |
|
|
471 |
"__________________________________________________________________________________________________\n", |
|
|
472 |
"conv1d_17 (Conv1D) (None, 16, 64) 65600 dropout_8[0][0] \n", |
|
|
473 |
"__________________________________________________________________________________________________\n", |
|
|
474 |
"add_8 (Add) (None, 16, 64) 0 max_pooling1d_8[0][0] \n", |
|
|
475 |
" conv1d_17[0][0] \n", |
|
|
476 |
"__________________________________________________________________________________________________\n", |
|
|
477 |
"batch_normalization_17 (BatchNo (None, 16, 64) 256 add_8[0][0] \n", |
|
|
478 |
"__________________________________________________________________________________________________\n", |
|
|
479 |
"activation_17 (Activation) (None, 16, 64) 0 batch_normalization_17[0][0] \n", |
|
|
480 |
"__________________________________________________________________________________________________\n", |
|
|
481 |
"conv1d_18 (Conv1D) (None, 16, 64) 65600 activation_17[0][0] \n", |
|
|
482 |
"__________________________________________________________________________________________________\n", |
|
|
483 |
"batch_normalization_18 (BatchNo (None, 16, 64) 256 conv1d_18[0][0] \n", |
|
|
484 |
"__________________________________________________________________________________________________\n", |
|
|
485 |
"activation_18 (Activation) (None, 16, 64) 0 batch_normalization_18[0][0] \n", |
|
|
486 |
"__________________________________________________________________________________________________\n", |
|
|
487 |
"dropout_9 (Dropout) (None, 16, 64) 0 activation_18[0][0] \n", |
|
|
488 |
"__________________________________________________________________________________________________\n", |
|
|
489 |
"max_pooling1d_9 (MaxPooling1D) (None, 16, 64) 0 add_8[0][0] \n", |
|
|
490 |
"__________________________________________________________________________________________________\n", |
|
|
491 |
"conv1d_19 (Conv1D) (None, 16, 64) 65600 dropout_9[0][0] \n", |
|
|
492 |
"__________________________________________________________________________________________________\n", |
|
|
493 |
"add_9 (Add) (None, 16, 64) 0 max_pooling1d_9[0][0] \n", |
|
|
494 |
" conv1d_19[0][0] \n", |
|
|
495 |
"__________________________________________________________________________________________________\n", |
|
|
496 |
"batch_normalization_19 (BatchNo (None, 16, 64) 256 add_9[0][0] \n", |
|
|
497 |
"__________________________________________________________________________________________________\n", |
|
|
498 |
"activation_19 (Activation) (None, 16, 64) 0 batch_normalization_19[0][0] \n", |
|
|
499 |
"__________________________________________________________________________________________________\n", |
|
|
500 |
"conv1d_20 (Conv1D) (None, 8, 128) 131200 activation_19[0][0] \n", |
|
|
501 |
"__________________________________________________________________________________________________\n", |
|
|
502 |
"batch_normalization_20 (BatchNo (None, 8, 128) 512 conv1d_20[0][0] \n", |
|
|
503 |
"__________________________________________________________________________________________________\n", |
|
|
504 |
"activation_20 (Activation) (None, 8, 128) 0 batch_normalization_20[0][0] \n", |
|
|
505 |
"__________________________________________________________________________________________________\n", |
|
|
506 |
"max_pooling1d_10 (MaxPooling1D) (None, 8, 64) 0 add_9[0][0] \n", |
|
|
507 |
"__________________________________________________________________________________________________\n", |
|
|
508 |
"dropout_10 (Dropout) (None, 8, 128) 0 activation_20[0][0] \n", |
|
|
509 |
"__________________________________________________________________________________________________\n", |
|
|
510 |
"lambda_2 (Lambda) (None, 8, 128) 0 max_pooling1d_10[0][0] \n", |
|
|
511 |
"__________________________________________________________________________________________________\n", |
|
|
512 |
"conv1d_21 (Conv1D) (None, 8, 128) 262272 dropout_10[0][0] \n", |
|
|
513 |
"__________________________________________________________________________________________________\n", |
|
|
514 |
"add_10 (Add) (None, 8, 128) 0 lambda_2[0][0] \n", |
|
|
515 |
" conv1d_21[0][0] \n", |
|
|
516 |
"__________________________________________________________________________________________________\n", |
|
|
517 |
"batch_normalization_21 (BatchNo (None, 8, 128) 512 add_10[0][0] \n", |
|
|
518 |
"__________________________________________________________________________________________________\n", |
|
|
519 |
"activation_21 (Activation) (None, 8, 128) 0 batch_normalization_21[0][0] \n", |
|
|
520 |
"__________________________________________________________________________________________________\n", |
|
|
521 |
"conv1d_22 (Conv1D) (None, 8, 128) 262272 activation_21[0][0] \n", |
|
|
522 |
"__________________________________________________________________________________________________\n", |
|
|
523 |
"batch_normalization_22 (BatchNo (None, 8, 128) 512 conv1d_22[0][0] \n", |
|
|
524 |
"__________________________________________________________________________________________________\n", |
|
|
525 |
"activation_22 (Activation) (None, 8, 128) 0 batch_normalization_22[0][0] \n", |
|
|
526 |
"__________________________________________________________________________________________________\n", |
|
|
527 |
"dropout_11 (Dropout) (None, 8, 128) 0 activation_22[0][0] \n", |
|
|
528 |
"__________________________________________________________________________________________________\n", |
|
|
529 |
"max_pooling1d_11 (MaxPooling1D) (None, 8, 128) 0 add_10[0][0] \n", |
|
|
530 |
"__________________________________________________________________________________________________\n", |
|
|
531 |
"conv1d_23 (Conv1D) (None, 8, 128) 262272 dropout_11[0][0] \n", |
|
|
532 |
"__________________________________________________________________________________________________\n", |
|
|
533 |
"add_11 (Add) (None, 8, 128) 0 max_pooling1d_11[0][0] \n", |
|
|
534 |
" conv1d_23[0][0] \n", |
|
|
535 |
"__________________________________________________________________________________________________\n", |
|
|
536 |
"batch_normalization_23 (BatchNo (None, 8, 128) 512 add_11[0][0] \n", |
|
|
537 |
"__________________________________________________________________________________________________\n", |
|
|
538 |
"activation_23 (Activation) (None, 8, 128) 0 batch_normalization_23[0][0] \n", |
|
|
539 |
"__________________________________________________________________________________________________\n", |
|
|
540 |
"conv1d_24 (Conv1D) (None, 4, 128) 262272 activation_23[0][0] \n", |
|
|
541 |
"__________________________________________________________________________________________________\n", |
|
|
542 |
"batch_normalization_24 (BatchNo (None, 4, 128) 512 conv1d_24[0][0] \n", |
|
|
543 |
"__________________________________________________________________________________________________\n", |
|
|
544 |
"activation_24 (Activation) (None, 4, 128) 0 batch_normalization_24[0][0] \n", |
|
|
545 |
"__________________________________________________________________________________________________\n", |
|
|
546 |
"dropout_12 (Dropout) (None, 4, 128) 0 activation_24[0][0] \n", |
|
|
547 |
"__________________________________________________________________________________________________\n", |
|
|
548 |
"max_pooling1d_12 (MaxPooling1D) (None, 4, 128) 0 add_11[0][0] \n", |
|
|
549 |
"__________________________________________________________________________________________________\n", |
|
|
550 |
"conv1d_25 (Conv1D) (None, 4, 128) 262272 dropout_12[0][0] \n", |
|
|
551 |
"__________________________________________________________________________________________________\n", |
|
|
552 |
"add_12 (Add) (None, 4, 128) 0 max_pooling1d_12[0][0] \n", |
|
|
553 |
" conv1d_25[0][0] \n", |
|
|
554 |
"__________________________________________________________________________________________________\n", |
|
|
555 |
"batch_normalization_25 (BatchNo (None, 4, 128) 512 add_12[0][0] \n", |
|
|
556 |
"__________________________________________________________________________________________________\n", |
|
|
557 |
"activation_25 (Activation) (None, 4, 128) 0 batch_normalization_25[0][0] \n", |
|
|
558 |
"__________________________________________________________________________________________________\n", |
|
|
559 |
"conv1d_26 (Conv1D) (None, 4, 128) 262272 activation_25[0][0] \n", |
|
|
560 |
"__________________________________________________________________________________________________\n", |
|
|
561 |
"batch_normalization_26 (BatchNo (None, 4, 128) 512 conv1d_26[0][0] \n", |
|
|
562 |
"__________________________________________________________________________________________________\n", |
|
|
563 |
"activation_26 (Activation) (None, 4, 128) 0 batch_normalization_26[0][0] \n", |
|
|
564 |
"__________________________________________________________________________________________________\n", |
|
|
565 |
"dropout_13 (Dropout) (None, 4, 128) 0 activation_26[0][0] \n", |
|
|
566 |
"__________________________________________________________________________________________________\n", |
|
|
567 |
"max_pooling1d_13 (MaxPooling1D) (None, 4, 128) 0 add_12[0][0] \n", |
|
|
568 |
"__________________________________________________________________________________________________\n", |
|
|
569 |
"conv1d_27 (Conv1D) (None, 4, 128) 262272 dropout_13[0][0] \n", |
|
|
570 |
"__________________________________________________________________________________________________\n", |
|
|
571 |
"add_13 (Add) (None, 4, 128) 0 max_pooling1d_13[0][0] \n", |
|
|
572 |
" conv1d_27[0][0] \n", |
|
|
573 |
"__________________________________________________________________________________________________\n", |
|
|
574 |
"batch_normalization_27 (BatchNo (None, 4, 128) 512 add_13[0][0] \n", |
|
|
575 |
"__________________________________________________________________________________________________\n", |
|
|
576 |
"activation_27 (Activation) (None, 4, 128) 0 batch_normalization_27[0][0] \n", |
|
|
577 |
"__________________________________________________________________________________________________\n", |
|
|
578 |
"conv1d_28 (Conv1D) (None, 2, 256) 524544 activation_27[0][0] \n", |
|
|
579 |
"__________________________________________________________________________________________________\n", |
|
|
580 |
"batch_normalization_28 (BatchNo (None, 2, 256) 1024 conv1d_28[0][0] \n", |
|
|
581 |
"__________________________________________________________________________________________________\n", |
|
|
582 |
"activation_28 (Activation) (None, 2, 256) 0 batch_normalization_28[0][0] \n", |
|
|
583 |
"__________________________________________________________________________________________________\n", |
|
|
584 |
"max_pooling1d_14 (MaxPooling1D) (None, 2, 128) 0 add_13[0][0] \n", |
|
|
585 |
"__________________________________________________________________________________________________\n", |
|
|
586 |
"dropout_14 (Dropout) (None, 2, 256) 0 activation_28[0][0] \n", |
|
|
587 |
"__________________________________________________________________________________________________\n", |
|
|
588 |
"lambda_3 (Lambda) (None, 2, 256) 0 max_pooling1d_14[0][0] \n", |
|
|
589 |
"__________________________________________________________________________________________________\n", |
|
|
590 |
"conv1d_29 (Conv1D) (None, 2, 256) 1048832 dropout_14[0][0] \n", |
|
|
591 |
"__________________________________________________________________________________________________\n", |
|
|
592 |
"add_14 (Add) (None, 2, 256) 0 lambda_3[0][0] \n", |
|
|
593 |
" conv1d_29[0][0] \n", |
|
|
594 |
"__________________________________________________________________________________________________\n", |
|
|
595 |
"batch_normalization_29 (BatchNo (None, 2, 256) 1024 add_14[0][0] \n", |
|
|
596 |
"__________________________________________________________________________________________________\n", |
|
|
597 |
"activation_29 (Activation) (None, 2, 256) 0 batch_normalization_29[0][0] \n", |
|
|
598 |
"__________________________________________________________________________________________________\n", |
|
|
599 |
"conv1d_30 (Conv1D) (None, 2, 256) 1048832 activation_29[0][0] \n", |
|
|
600 |
"__________________________________________________________________________________________________\n", |
|
|
601 |
"batch_normalization_30 (BatchNo (None, 2, 256) 1024 conv1d_30[0][0] \n", |
|
|
602 |
"__________________________________________________________________________________________________\n", |
|
|
603 |
"activation_30 (Activation) (None, 2, 256) 0 batch_normalization_30[0][0] \n", |
|
|
604 |
"__________________________________________________________________________________________________\n", |
|
|
605 |
"dropout_15 (Dropout) (None, 2, 256) 0 activation_30[0][0] \n", |
|
|
606 |
"__________________________________________________________________________________________________\n", |
|
|
607 |
"max_pooling1d_15 (MaxPooling1D) (None, 2, 256) 0 add_14[0][0] \n", |
|
|
608 |
"__________________________________________________________________________________________________\n", |
|
|
609 |
"conv1d_31 (Conv1D) (None, 2, 256) 1048832 dropout_15[0][0] \n", |
|
|
610 |
"__________________________________________________________________________________________________\n", |
|
|
611 |
"add_15 (Add) (None, 2, 256) 0 max_pooling1d_15[0][0] \n", |
|
|
612 |
" conv1d_31[0][0] \n", |
|
|
613 |
"__________________________________________________________________________________________________\n", |
|
|
614 |
"batch_normalization_31 (BatchNo (None, 2, 256) 1024 add_15[0][0] \n", |
|
|
615 |
"__________________________________________________________________________________________________\n", |
|
|
616 |
"activation_31 (Activation) (None, 2, 256) 0 batch_normalization_31[0][0] \n", |
|
|
617 |
"__________________________________________________________________________________________________\n", |
|
|
618 |
"conv1d_32 (Conv1D) (None, 1, 256) 1048832 activation_31[0][0] \n", |
|
|
619 |
"__________________________________________________________________________________________________\n", |
|
|
620 |
"batch_normalization_32 (BatchNo (None, 1, 256) 1024 conv1d_32[0][0] \n", |
|
|
621 |
"__________________________________________________________________________________________________\n", |
|
|
622 |
"activation_32 (Activation) (None, 1, 256) 0 batch_normalization_32[0][0] \n", |
|
|
623 |
"__________________________________________________________________________________________________\n", |
|
|
624 |
"dropout_16 (Dropout) (None, 1, 256) 0 activation_32[0][0] \n", |
|
|
625 |
"__________________________________________________________________________________________________\n", |
|
|
626 |
"max_pooling1d_16 (MaxPooling1D) (None, 1, 256) 0 add_15[0][0] \n", |
|
|
627 |
"__________________________________________________________________________________________________\n", |
|
|
628 |
"conv1d_33 (Conv1D) (None, 1, 256) 1048832 dropout_16[0][0] \n", |
|
|
629 |
"__________________________________________________________________________________________________\n", |
|
|
630 |
"add_16 (Add) (None, 1, 256) 0 max_pooling1d_16[0][0] \n", |
|
|
631 |
" conv1d_33[0][0] \n", |
|
|
632 |
"__________________________________________________________________________________________________\n", |
|
|
633 |
"batch_normalization_33 (BatchNo (None, 1, 256) 1024 add_16[0][0] \n", |
|
|
634 |
"__________________________________________________________________________________________________\n", |
|
|
635 |
"activation_33 (Activation) (None, 1, 256) 0 batch_normalization_33[0][0] \n", |
|
|
636 |
"__________________________________________________________________________________________________\n", |
|
|
637 |
"time_distributed_1 (TimeDistrib (None, 1, 6) 1542 activation_33[0][0] \n", |
|
|
638 |
"==================================================================================================\n", |
|
|
639 |
"Total params: 8,407,782\n", |
|
|
640 |
"Trainable params: 8,400,934\n", |
|
|
641 |
"Non-trainable params: 6,848\n", |
|
|
642 |
"__________________________________________________________________________________________________\n", |
|
|
643 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n", |
|
|
644 |
"Instructions for updating:\n", |
|
|
645 |
"Use tf.where in 2.0, which has the same broadcast rule as np.where\n", |
|
|
646 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1033: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.\n", |
|
|
647 |
"\n", |
|
|
648 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1020: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.\n", |
|
|
649 |
"\n", |
|
|
650 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3005: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n", |
|
|
651 |
"\n", |
|
|
652 |
"Train on 22834 samples, validate on 4548 samples\n", |
|
|
653 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n", |
|
|
654 |
"\n", |
|
|
655 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:197: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n", |
|
|
656 |
"\n", |
|
|
657 |
"2019-10-17 08:07:09.581417: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz\n", |
|
|
658 |
"2019-10-17 08:07:09.581714: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2f38840 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", |
|
|
659 |
"2019-10-17 08:07:09.581773: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", |
|
|
660 |
"2019-10-17 08:07:09.592070: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n", |
|
|
661 |
"2019-10-17 08:07:09.723866: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
662 |
"2019-10-17 08:07:09.724743: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2f38f40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", |
|
|
663 |
"2019-10-17 08:07:09.724773: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla K80, Compute Capability 3.7\n", |
|
|
664 |
"2019-10-17 08:07:09.726216: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
665 |
"2019-10-17 08:07:09.726931: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n", |
|
|
666 |
"name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", |
|
|
667 |
"pciBusID: 0000:00:04.0\n", |
|
|
668 |
"2019-10-17 08:07:09.739010: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n", |
|
|
669 |
"2019-10-17 08:07:09.944393: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n", |
|
|
670 |
"2019-10-17 08:07:10.041157: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n", |
|
|
671 |
"2019-10-17 08:07:10.074050: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n", |
|
|
672 |
"2019-10-17 08:07:10.309924: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n", |
|
|
673 |
"2019-10-17 08:07:10.446646: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n", |
|
|
674 |
"2019-10-17 08:07:10.949093: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n", |
|
|
675 |
"2019-10-17 08:07:10.949438: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
676 |
"2019-10-17 08:07:10.950387: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
677 |
"2019-10-17 08:07:10.951180: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n", |
|
|
678 |
"2019-10-17 08:07:10.955849: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n", |
|
|
679 |
"2019-10-17 08:07:10.957824: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n", |
|
|
680 |
"2019-10-17 08:07:10.957867: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0 \n", |
|
|
681 |
"2019-10-17 08:07:10.957888: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N \n", |
|
|
682 |
"2019-10-17 08:07:10.959188: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
683 |
"2019-10-17 08:07:10.960117: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
684 |
"2019-10-17 08:07:10.960895: 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", |
|
|
685 |
"2019-10-17 08:07:10.960963: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10805 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7)\n", |
|
|
686 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:207: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n", |
|
|
687 |
"\n", |
|
|
688 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:216: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.\n", |
|
|
689 |
"\n", |
|
|
690 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:223: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n", |
|
|
691 |
"\n", |
|
|
692 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks.py:1122: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead.\n", |
|
|
693 |
"\n", |
|
|
694 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks.py:1125: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.\n", |
|
|
695 |
"\n", |
|
|
696 |
"Epoch 1/11\n", |
|
|
697 |
"2019-10-17 08:07:28.166447: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n", |
|
|
698 |
"2019-10-17 08:07:29.221291: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n", |
|
|
699 |
"22834/22834 [==============================] - 39s 2ms/step - loss: 0.6149 - acc: 0.8026 - val_loss: 13.3401 - val_acc: 0.1715\n", |
|
|
700 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks.py:1265: The name tf.Summary is deprecated. Please use tf.compat.v1.Summary instead.\n", |
|
|
701 |
"\n", |
|
|
702 |
"Epoch 2/11\n", |
|
|
703 |
"22834/22834 [==============================] - 23s 991us/step - loss: 0.2098 - acc: 0.9355 - val_loss: 11.9307 - val_acc: 0.2579\n", |
|
|
704 |
"Epoch 3/11\n", |
|
|
705 |
"22834/22834 [==============================] - 22s 965us/step - loss: 0.1219 - acc: 0.9617 - val_loss: 0.6661 - val_acc: 0.8615\n", |
|
|
706 |
"Epoch 4/11\n", |
|
|
707 |
"22834/22834 [==============================] - 22s 966us/step - loss: 0.1004 - acc: 0.9678 - val_loss: 0.7418 - val_acc: 0.7962\n", |
|
|
708 |
"Epoch 5/11\n", |
|
|
709 |
"22834/22834 [==============================] - 22s 966us/step - loss: 0.1005 - acc: 0.9668 - val_loss: 4.5287 - val_acc: 0.3727\n", |
|
|
710 |
"Epoch 6/11\n", |
|
|
711 |
"22834/22834 [==============================] - 22s 964us/step - loss: 0.0886 - acc: 0.9714 - val_loss: 3.4091 - val_acc: 0.5792\n", |
|
|
712 |
"\n", |
|
|
713 |
"Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.05000000074505806.\n", |
|
|
714 |
"Epoch 7/11\n", |
|
|
715 |
"22834/22834 [==============================] - 22s 968us/step - loss: 0.0659 - acc: 0.9778 - val_loss: 0.9296 - val_acc: 0.7293\n", |
|
|
716 |
"Epoch 8/11\n", |
|
|
717 |
"22834/22834 [==============================] - 22s 972us/step - loss: 0.0557 - acc: 0.9813 - val_loss: 0.5469 - val_acc: 0.8467\n", |
|
|
718 |
"Epoch 9/11\n", |
|
|
719 |
"22834/22834 [==============================] - 22s 971us/step - loss: 0.0564 - acc: 0.9809 - val_loss: 1.7138 - val_acc: 0.6209\n", |
|
|
720 |
"Epoch 10/11\n", |
|
|
721 |
"22834/22834 [==============================] - 22s 969us/step - loss: 0.0514 - acc: 0.9829 - val_loss: 0.5640 - val_acc: 0.8802\n", |
|
|
722 |
"\n", |
|
|
723 |
"Epoch 00010: saving model to models/MLII-latest.hdf5\n", |
|
|
724 |
"Epoch 11/11\n", |
|
|
725 |
"22834/22834 [==============================] - 22s 977us/step - loss: 0.0518 - acc: 0.9825 - val_loss: 0.5297 - val_acc: 0.8577\n", |
|
|
726 |
" precision recall f1-score support\n", |
|
|
727 |
"\n", |
|
|
728 |
" 0 0.95 0.82 0.88 1661\n", |
|
|
729 |
" 1 0.81 0.93 0.87 780\n", |
|
|
730 |
" 2 1.00 0.97 0.99 1538\n", |
|
|
731 |
" 3 0.10 0.12 0.11 136\n", |
|
|
732 |
" 4 0.00 0.00 0.00 26\n", |
|
|
733 |
" 5 0.99 0.98 0.99 407\n", |
|
|
734 |
"\n", |
|
|
735 |
" accuracy 0.88 4548\n", |
|
|
736 |
" macro avg 0.64 0.64 0.64 4548\n", |
|
|
737 |
"weighted avg 0.92 0.88 0.90 4548\n", |
|
|
738 |
"\n", |
|
|
739 |
"Confusion matrix, without normalization\n", |
|
|
740 |
"[[1366 14 0 145 136 0]\n", |
|
|
741 |
" [ 40 726 0 3 7 4]\n", |
|
|
742 |
" [ 1 42 1495 0 0 0]\n", |
|
|
743 |
" [ 14 96 0 16 10 0]\n", |
|
|
744 |
" [ 10 15 0 0 0 1]\n", |
|
|
745 |
" [ 3 4 0 0 0 400]]\n", |
|
|
746 |
"F1 score: [0.88271405 0.86583184 0.98582262 0.10666667 0. 0.98522167]\n", |
|
|
747 |
"AUC for N: 0.9995200238778037\n", |
|
|
748 |
"AUC for V: 0.9999571472298745\n", |
|
|
749 |
"AUC for /: 1.0\n", |
|
|
750 |
"AUC for A: 1.0\n", |
|
|
751 |
"AUC for ~: 1.0\n" |
|
|
752 |
], |
|
|
753 |
"name": "stdout" |
|
|
754 |
} |
|
|
755 |
] |
|
|
756 |
}, |
|
|
757 |
{ |
|
|
758 |
"cell_type": "markdown", |
|
|
759 |
"metadata": { |
|
|
760 |
"id": "rahf13tfUXLw", |
|
|
761 |
"colab_type": "text" |
|
|
762 |
}, |
|
|
763 |
"source": [ |
|
|
764 |
"" |
|
|
765 |
] |
|
|
766 |
}, |
|
|
767 |
{ |
|
|
768 |
"cell_type": "code", |
|
|
769 |
"metadata": { |
|
|
770 |
"id": "1vqiaWwoPNKY", |
|
|
771 |
"colab_type": "code", |
|
|
772 |
"outputId": "cb242828-fc5d-4a20-f801-dfb6e4b796d0", |
|
|
773 |
"colab": { |
|
|
774 |
"base_uri": "https://localhost:8080/", |
|
|
775 |
"height": 1000 |
|
|
776 |
} |
|
|
777 |
}, |
|
|
778 |
"source": [ |
|
|
779 |
"!python predict.py" |
|
|
780 |
], |
|
|
781 |
"execution_count": 7, |
|
|
782 |
"outputs": [ |
|
|
783 |
{ |
|
|
784 |
"output_type": "stream", |
|
|
785 |
"text": [ |
|
|
786 |
"Using TensorFlow backend.\n", |
|
|
787 |
"The record of training2017/A01678.mat\n", |
|
|
788 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:541: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n", |
|
|
789 |
"\n", |
|
|
790 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4479: The name tf.truncated_normal is deprecated. Please use tf.random.truncated_normal instead.\n", |
|
|
791 |
"\n", |
|
|
792 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n", |
|
|
793 |
"\n", |
|
|
794 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:148: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n", |
|
|
795 |
"\n", |
|
|
796 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3733: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n", |
|
|
797 |
"Instructions for updating:\n", |
|
|
798 |
"Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n", |
|
|
799 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4267: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n", |
|
|
800 |
"\n", |
|
|
801 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4432: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n", |
|
|
802 |
"\n", |
|
|
803 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n", |
|
|
804 |
"\n", |
|
|
805 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:197: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n", |
|
|
806 |
"\n", |
|
|
807 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:203: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n", |
|
|
808 |
"\n", |
|
|
809 |
"2019-10-20 00:12:51.632413: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz\n", |
|
|
810 |
"2019-10-20 00:12:51.632652: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xa55d880 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", |
|
|
811 |
"2019-10-20 00:12:51.632690: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", |
|
|
812 |
"2019-10-20 00:12:51.639533: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n", |
|
|
813 |
"2019-10-20 00:12:51.798176: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
814 |
"2019-10-20 00:12:51.799034: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xa55da40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", |
|
|
815 |
"2019-10-20 00:12:51.799067: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla K80, Compute Capability 3.7\n", |
|
|
816 |
"2019-10-20 00:12:51.800479: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
817 |
"2019-10-20 00:12:51.801207: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n", |
|
|
818 |
"name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235\n", |
|
|
819 |
"pciBusID: 0000:00:04.0\n", |
|
|
820 |
"2019-10-20 00:12:51.952762: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n", |
|
|
821 |
"2019-10-20 00:12:52.156513: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n", |
|
|
822 |
"2019-10-20 00:12:52.243326: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n", |
|
|
823 |
"2019-10-20 00:12:52.273740: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n", |
|
|
824 |
"2019-10-20 00:12:52.499707: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n", |
|
|
825 |
"2019-10-20 00:12:52.630417: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n", |
|
|
826 |
"2019-10-20 00:12:53.044557: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n", |
|
|
827 |
"2019-10-20 00:12:53.044804: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
828 |
"2019-10-20 00:12:53.045624: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
829 |
"2019-10-20 00:12:53.046353: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n", |
|
|
830 |
"2019-10-20 00:12:53.052507: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n", |
|
|
831 |
"2019-10-20 00:12:53.054074: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n", |
|
|
832 |
"2019-10-20 00:12:53.054107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0 \n", |
|
|
833 |
"2019-10-20 00:12:53.054121: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N \n", |
|
|
834 |
"2019-10-20 00:12:53.055212: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
835 |
"2019-10-20 00:12:53.056004: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] 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", |
|
|
836 |
"2019-10-20 00:12:53.056790: 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", |
|
|
837 |
"2019-10-20 00:12:53.056849: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10805 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7)\n", |
|
|
838 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:207: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n", |
|
|
839 |
"\n", |
|
|
840 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:216: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.\n", |
|
|
841 |
"\n", |
|
|
842 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:223: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n", |
|
|
843 |
"\n", |
|
|
844 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:793: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n", |
|
|
845 |
"\n", |
|
|
846 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3576: The name tf.log is deprecated. Please use tf.math.log instead.\n", |
|
|
847 |
"\n", |
|
|
848 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n", |
|
|
849 |
"Instructions for updating:\n", |
|
|
850 |
"Use tf.where in 2.0, which has the same broadcast rule as np.where\n", |
|
|
851 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1033: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.\n", |
|
|
852 |
"\n", |
|
|
853 |
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1020: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.\n", |
|
|
854 |
"\n", |
|
|
855 |
"2019-10-20 00:13:12.972494: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n", |
|
|
856 |
"2019-10-20 00:13:13.564740: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n", |
|
|
857 |
"The 5/42-record classified as Ventricular with 49.7% certainty\n", |
|
|
858 |
"The 6/42-record classified as Ventricular with 80.3% certainty\n", |
|
|
859 |
"The 21/42-record classified as Ventricular with 89.1% certainty\n", |
|
|
860 |
"The 36/42-record classified as Ventricular with 99.5% certainty\n", |
|
|
861 |
"The average of the predict is: [[9.0093011e-01 9.5520690e-02 1.5031480e-07 2.1731975e-03 1.3753945e-03\n", |
|
|
862 |
" 4.1187999e-07]]\n", |
|
|
863 |
"The most predicted label is N with 90.1% certainty\n", |
|
|
864 |
"The second predicted label is Ventricular with 9.6% certainty\n", |
|
|
865 |
"The original label of the record is N\n" |
|
|
866 |
], |
|
|
867 |
"name": "stdout" |
|
|
868 |
} |
|
|
869 |
] |
|
|
870 |
}, |
|
|
871 |
{ |
|
|
872 |
"cell_type": "code", |
|
|
873 |
"metadata": { |
|
|
874 |
"id": "-7qnOkBMm22g", |
|
|
875 |
"colab_type": "code", |
|
|
876 |
"colab": {} |
|
|
877 |
}, |
|
|
878 |
"source": [ |
|
|
879 |
"" |
|
|
880 |
], |
|
|
881 |
"execution_count": 0, |
|
|
882 |
"outputs": [] |
|
|
883 |
} |
|
|
884 |
] |
|
|
885 |
} |