{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/bt22dr/deep-learning-papers/blob/master/code/WaveNet.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "lNLylAacWr9X"
   },
   "source": [
    "# WaveNet\n",
    "\n",
    "* TODO:\n",
    "  * text나 speaker ID 컨디션으로 주는 부분 구현 추가\n",
    "  * 설정값에 따라 receptive field 자동으로 계산하여 동작하도록 구현 추가"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "360Zj6hDNb_9"
   },
   "source": [
    "## 캐글에서 LJSpeech-1.1 데이터 다운로드\n",
    "\n",
    "참조 : https://colab.research.google.com/drive/1DofKEdQYaXmDWBzuResXWWvxhLgDeVyl#scrollTo=akJ8fvsfGVdn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "PejrwMy0Nneu"
   },
   "outputs": [],
   "source": [
    "from google.colab import files\n",
    "files.upload()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 411
    },
    "colab_type": "code",
    "id": "y7zIHxWOPFbE",
    "outputId": "39b348d0-e841-480e-ced8-e742821a5eca"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ref                                                     title                                              size  lastUpdated          downloadCount  \n",
      "------------------------------------------------------  ------------------------------------------------  -----  -------------------  -------------  \n",
      "chicago/chicago-copa-cases                              Chicago COPA Cases                                  3MB  2019-04-05 00:00:32           1510  \n",
      "himanshupoddar/zomato-bangalore-restaurants             Zomato Bangalore Restaurants                       88MB  2019-03-31 09:48:43           1980  \n",
      "sfinspiredu/synchrotron-data-set                        Synchrotron Data Set                               10KB  2019-05-27 19:54:29            331  \n",
      "crisparada/brazilian-cities                             Brazilian Cities                                  935KB  2019-05-24 20:49:21            992  \n",
      "taniaj/australian-election-2019-tweets                  Australian Election 2019 Tweets                    29MB  2019-05-21 09:41:38            385  \n",
      "romainpessia/artificial-lunar-rocky-landscape-dataset   Artificial Lunar Landscape Dataset                  5GB  2019-06-12 05:59:07            242  \n",
      "gqfiddler/scotus-opinions                               SCOTUS Opinions                                   216MB  2018-11-05 22:20:10            214  \n",
      "se18m502/bee-hive-metrics                               Beehive Metrics                                    30MB  2019-05-31 12:25:25            453  \n",
      "brittabettendorf/berlin-airbnb-data                     Berlin Airbnb Data                                 89MB  2019-03-05 09:23:00            859  \n",
      "PromptCloudHQ/world-happiness-report-2019               World Happiness Report 2019                         4KB  2019-03-20 09:39:07           2659  \n",
      "jlesuffleur/granddebat                                  Le Grand Débat National                           388MB  2019-03-28 21:20:52             89  \n",
      "thegurus/spanish-high-speed-rail-system-ticket-pricing  Spanish High Speed Rail tickets pricing - Renfe    27MB  2019-05-10 06:50:30            373  \n",
      "leomauro/smmnet                                         SMMnet                                            105MB  2019-05-13 17:26:55            121  \n",
      "snocco/missing-migrants-project                         Missing Migrants Project                          253KB  2019-04-07 16:57:48            296  \n",
      "austinreese/craigslist-carstrucks-data                  Craigslist Cars+Trucks Data                       349MB  2019-06-09 17:34:57            691  \n",
      "robseidl/tennis-atp-tour-australian-open-final-2019     Tennis ATP Tour Australian Open Final 2019         27KB  2019-03-02 20:52:43            349  \n",
      "cityofLA/los-angeles-traffic-collision-data             Los Angeles Traffic Collision Data                 23MB  2019-06-14 22:44:30           1027  \n",
      "inIT-OWL/versatileproductionsystem                      Versatile Production System                       398KB  2018-09-12 13:32:32            296  \n",
      "mfekadu/darpa-timit-acousticphonetic-continuous-speech  DARPA TIMIT Acoustic-Phonetic Continuous Speech   826MB  2019-06-05 02:01:06             78  \n",
      "alvarob96/spanish-stocks-historical-data                Spanish Stocks Historical Data from 2000 to 2019    1MB  2019-06-07 16:08:00            197  \n"
     ]
    }
   ],
   "source": [
    "# Next, install the Kaggle API client.\n",
    "!pip install -q kaggle\n",
    "\n",
    "# The Kaggle API client expects this file to be in ~/.kaggle,\n",
    "# so move it there.\n",
    "!mkdir -p ~/.kaggle\n",
    "!cp kaggle.json ~/.kaggle/\n",
    "\n",
    "# This permissions change avoids a warning on Kaggle tool startup.\n",
    "!chmod 600 ~/.kaggle/kaggle.json\n",
    "\n",
    "# List available datasets.\n",
    "!kaggle datasets list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "id": "8Ofrdh9lPVYq",
    "outputId": "348a1808-c7c5-4c70-9031-d7ad96962e7b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading ljspeech.zip to /content\n",
      " 99% 2.54G/2.56G [00:25<00:00, 104MB/s] \n",
      "100% 2.56G/2.56G [00:25<00:00, 108MB/s]\n"
     ]
    }
   ],
   "source": [
    "#!kaggle datasets list -s ljspeech\n",
    "!kaggle datasets download -d dromosys/ljspeech"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 51
    },
    "colab_type": "code",
    "id": "26qRM_qjR00T",
    "outputId": "c7c56eb8-03cf-49ef-c000-df7cb20945e5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  /content/ljspeech.zip\n",
      "  inflating: LJSpeech-1.1.tar.bz2    \n"
     ]
    }
   ],
   "source": [
    "!unzip /content/ljspeech.zip\n",
    "!tar -xjf /content/LJSpeech-1.1.tar.bz2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 394
    },
    "colab_type": "code",
    "id": "lrbal0SrR-R_",
    "outputId": "bc9d5315-2736-4414-d038-f81940291ff5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "metadata.csv  README  wavs\n",
      "LJ001-0001|Printing, in the only sense with which we are at present concerned, differs from most if not from all the arts and crafts represented in the Exhibition|Printing, in the only sense with which we are at present concerned, differs from most if not from all the arts and crafts represented in the Exhibition\n",
      "LJ001-0002|in being comparatively modern.|in being comparatively modern.\n",
      "LJ001-0003|For although the Chinese took impressions from wood blocks engraved in relief for centuries before the woodcutters of the Netherlands, by a similar process|For although the Chinese took impressions from wood blocks engraved in relief for centuries before the woodcutters of the Netherlands, by a similar process\n",
      "LJ001-0004|produced the block books, which were the immediate predecessors of the true printed book,|produced the block books, which were the immediate predecessors of the true printed book,\n",
      "LJ001-0005|the invention of movable metal letters in the middle of the fifteenth century may justly be considered as the invention of the art of printing.|the invention of movable metal letters in the middle of the fifteenth century may justly be considered as the invention of the art of printing.\n",
      "LJ001-0006|And it is worth mention in passing that, as an example of fine typography,|And it is worth mention in passing that, as an example of fine typography,\n",
      "LJ001-0007|the earliest book printed with movable types, the Gutenberg, or \"forty-two line Bible\" of about 1455,|the earliest book printed with movable types, the Gutenberg, or \"forty-two line Bible\" of about fourteen fifty-five,\n",
      "LJ001-0008|has never been surpassed.|has never been surpassed.\n",
      "LJ001-0009|Printing, then, for our purpose, may be considered as the art of making books by means of movable types.|Printing, then, for our purpose, may be considered as the art of making books by means of movable types.\n",
      "LJ001-0010|Now, as all books not primarily intended as picture-books consist principally of types composed to form letterpress,|Now, as all books not primarily intended as picture-books consist principally of types composed to form letterpress,\n",
      "LJ050-0269|The essential terms of such memoranda might well be embodied in an Executive order.|The essential terms of such memoranda might well be embodied in an Executive order.\n",
      "LJ050-0270|This Commission can recommend no procedures for the future protection of our Presidents which will guarantee security.|This Commission can recommend no procedures for the future protection of our Presidents which will guarantee security.\n",
      "LJ050-0271|The demands on the President in the execution of His responsibilities in today's world are so varied and complex|The demands on the President in the execution of His responsibilities in today's world are so varied and complex\n",
      "LJ050-0272|and the traditions of the office in a democracy such as ours are so deep-seated as to preclude absolute security.|and the traditions of the office in a democracy such as ours are so deep-seated as to preclude absolute security.\n",
      "LJ050-0273|The Commission has, however, from its examination of the facts of President Kennedy's assassination|The Commission has, however, from its examination of the facts of President Kennedy's assassination\n",
      "LJ050-0274|made certain recommendations which it believes would, if adopted,|made certain recommendations which it believes would, if adopted,\n",
      "LJ050-0275|materially improve upon the procedures in effect at the time of President Kennedy's assassination and result in a substantial lessening of the danger.|materially improve upon the procedures in effect at the time of President Kennedy's assassination and result in a substantial lessening of the danger.\n",
      "LJ050-0276|As has been pointed out, the Commission has not resolved all the proposals which could be made. The Commission nevertheless is confident that,|As has been pointed out, the Commission has not resolved all the proposals which could be made. The Commission nevertheless is confident that,\n",
      "LJ050-0277|with the active cooperation of the responsible agencies and with the understanding of the people of the United States in their demands upon their President,|with the active cooperation of the responsible agencies and with the understanding of the people of the United States in their demands upon their President,\n",
      "LJ050-0278|the recommendations we have here suggested would greatly advance the security of the office without any impairment of our fundamental liberties.|the recommendations we have here suggested would greatly advance the security of the office without any impairment of our fundamental liberties.\n"
     ]
    }
   ],
   "source": [
    "!ls /content/LJSpeech-1.1/\n",
    "!head /content/LJSpeech-1.1/metadata.csv\n",
    "!tail /content/LJSpeech-1.1/metadata.csv\n",
    "#!cat /content/LJSpeech-1.1/README"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "2dIvxzmYS8T8"
   },
   "source": [
    "## WaveNet 구현\n",
    "\n",
    "### 참고 자료: \n",
    "* WaveNet 아키텍처: \n",
    "  * https://youtu.be/nsrSrYtKkT8?t=1500\n",
    "* 아래 2개의 WaveNet 구현을 참고하였음.\n",
    "  * https://github.com/modulabs/Deep-Generative-Models/blob/master/1st/3.Autoregressive%20Models%20-%20Practice/wavenet.ipynb\n",
    "  * https://github.com/ibab/tensorflow-wavenet\n",
    "* Causal and Dilated Convolutions에 대한 내용은 아래를 참고\n",
    "  * https://theblog.github.io/post/convolution-in-autoregressive-neural-networks/\n",
    "* TODO: \n",
    "  * 이 자료 꼭 보자 -> https://www.youtube.com/watch?v=YyUXG-BfDbE\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 649
    },
    "colab_type": "code",
    "id": "C1RGrPYB5hqp",
    "outputId": "2d6bfa8f-8b46-4db7-e6e6-787ac8bcb8f3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: tensorflow-gpu in /usr/local/lib/python3.6/dist-packages (1.13.1)\n",
      "Requirement already satisfied: keras-applications>=1.0.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.0.8)\n",
      "Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.1.0)\n",
      "Requirement already satisfied: protobuf>=3.6.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (3.7.1)\n",
      "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (0.33.4)\n",
      "Requirement already satisfied: gast>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (0.2.2)\n",
      "Requirement already satisfied: grpcio>=1.8.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.15.0)\n",
      "Requirement already satisfied: tensorflow-estimator<1.14.0rc0,>=1.13.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.13.0)\n",
      "Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.16.4)\n",
      "Requirement already satisfied: astor>=0.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (0.8.0)\n",
      "Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.12.0)\n",
      "Requirement already satisfied: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.1.0)\n",
      "Requirement already satisfied: absl-py>=0.1.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (0.7.1)\n",
      "Requirement already satisfied: tensorboard<1.14.0,>=1.13.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu) (1.13.1)\n",
      "Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras-applications>=1.0.6->tensorflow-gpu) (2.8.0)\n",
      "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf>=3.6.1->tensorflow-gpu) (41.0.1)\n",
      "Requirement already satisfied: mock>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-estimator<1.14.0rc0,>=1.13.0->tensorflow-gpu) (3.0.5)\n",
      "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.14.0,>=1.13.0->tensorflow-gpu) (3.1.1)\n",
      "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.14.0,>=1.13.0->tensorflow-gpu) (0.15.4)\n",
      "Requirement already satisfied: tensorflow-probability in /usr/local/lib/python3.6/dist-packages (0.7.0rc0)\n",
      "Requirement already satisfied: decorator in /usr/local/lib/python3.6/dist-packages (from tensorflow-probability) (4.4.0)\n",
      "Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from tensorflow-probability) (1.16.4)\n",
      "Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-probability) (1.12.0)\n",
      "Requirement already satisfied: cloudpickle>=0.6.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow-probability) (0.6.1)\n",
      "Requirement already satisfied: librosa in /usr/local/lib/python3.6/dist-packages (0.6.3)\n",
      "Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.21.2)\n",
      "Requirement already satisfied: audioread>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (2.1.8)\n",
      "Requirement already satisfied: resampy>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.2.1)\n",
      "Requirement already satisfied: joblib>=0.12 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.13.2)\n",
      "Requirement already satisfied: decorator>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (4.4.0)\n",
      "Requirement already satisfied: six>=1.3 in /usr/local/lib/python3.6/dist-packages (from librosa) (1.12.0)\n",
      "Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (1.3.0)\n",
      "Requirement already satisfied: numba>=0.38.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.40.1)\n",
      "Requirement already satisfied: numpy>=1.8.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (1.16.4)\n",
      "Requirement already satisfied: llvmlite>=0.25.0dev0 in /usr/local/lib/python3.6/dist-packages (from numba>=0.38.0->librosa) (0.29.0)\n",
      "Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (4.28.1)\n"
     ]
    }
   ],
   "source": [
    "# Install TensorFlow\n",
    "!pip install tensorflow-gpu\n",
    "!pip install tensorflow-probability\n",
    "!pip install librosa\n",
    "!pip install tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "HEecWT_PxqxP"
   },
   "outputs": [],
   "source": [
    "import librosa\n",
    "import numpy as np\n",
    "from tqdm import tqdm_notebook\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "id": "_rUZ6ekUxvHA",
    "outputId": "d8245c6f-9255-4754-f31d-45e46be72819"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found GPU at: /device:GPU:0\n",
      "TensorFlow version: 1.13.1\n",
      "Eager execution: True\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import tensorflow.contrib.eager as tfe\n",
    "from tensorflow.keras.layers import Conv1D\n",
    "from tensorflow.keras import Model\n",
    "\n",
    "tf.enable_eager_execution()\n",
    "\n",
    "device_name = tf.test.gpu_device_name()\n",
    "if device_name != '/device:GPU:0':\n",
    "  raise SystemError('GPU device not found')\n",
    "print('Found GPU at: {}'.format(device_name))\n",
    "\n",
    "print(\"TensorFlow version: {}\".format(tf.VERSION))\n",
    "print(\"Eager execution: {}\".format(tf.executing_eagerly()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "UGU5Cj23BFWZ"
   },
   "source": [
    "## 하이퍼파라미터"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "zOieTW3NPYaD"
   },
   "outputs": [],
   "source": [
    "# 음원 관련\n",
    "sec= 0.3 # WaveNet에서 사용할 음원 길이 (초 단위)\n",
    "freq = 220.0 # 샘플 데이터로 생성할 사인파의 주파수\n",
    "sample_rate = 16000 # sampling rate\n",
    "mu = 256 # mu-law companding \n",
    "\n",
    "# WaveNet 관련\n",
    "batch_size = 2\n",
    "filter_width = 2\n",
    "skip_channels = 256\n",
    "residual_channels = 512\n",
    "dilation_channels = 32\n",
    "initial_filter_width = 32\n",
    "filter_width = 2\n",
    "quantization_channels = 256\n",
    "post_proc_channels = 256\n",
    "dilations = [1, 2, 4, 8, 16, 32, 64, 128, 256, 512,\n",
    "             1, 2, 4, 8, 16, 32, 64, 128, 256, 512,\n",
    "             1, 2, 4, 8, 16, 32, 64, 128, 256, 512,\n",
    "             1, 2, 4, 8, 16, 32, 64, 128, 256, 512,\n",
    "             # 1, 2, 4, 8, 16, 32, 64, 128, 256, 512\n",
    "            ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 231
    },
    "colab_type": "code",
    "id": "FlGbXAiDZJYr",
    "outputId": "31ef360b-8551-4d88-a532-b3558c2e5098"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 4800)\n"
     ]
    },
    {
     "data": {
      "image/png": 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GWsx/4CKc8eT3cZd76fvdcf8+u2C/pc+K/n2LlRW1eGcNzhl1FApCmToN7eF8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\n",
      "text/plain": [
       "<Figure size 1440x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 참고: https://github.com/modulabs/Deep-Generative-Models/blob/master/1st/3.Autoregressive%20Models%20-%20Practice/wavenet.ipynb\n",
    "\n",
    "from os import listdir\n",
    "from os.path import isfile, join\n",
    "import ntpath\n",
    "\n",
    "data_dir = '/content/LJSpeech-1.1/wavs'\n",
    "data_files = [join(data_dir, f) for f in listdir(data_dir) if isfile(join(data_dir, f)) and '.wav' in f]\n",
    "\n",
    "def get_patches_from_LJSpeech(batch, time_length, sample_rate=sample_rate):\n",
    "    \n",
    "    read_length = 0\n",
    "    waves = []\n",
    "    while(read_length < batch * time_length):\n",
    "        file_index = np.random.randint(0, len(data_files), 1)[0]\n",
    "        wav, _ = librosa.core.load(data_files[file_index], sr=sample_rate)\n",
    "        need_length = batch * time_length - read_length\n",
    "        \n",
    "        if len(wav) > need_length:\n",
    "            wav = wav[:need_length]\n",
    "            \n",
    "        read_length += len(wav)\n",
    "        waves.append(wav)\n",
    "        \n",
    "    waves = np.concatenate(waves)\n",
    "    waves = np.reshape(waves, [batch, time_length])\n",
    "    \n",
    "    return waves\n",
    "  \n",
    "lj_data = get_patches_from_LJSpeech(batch_size, int(sec*sample_rate))\n",
    "print(lj_data.shape)\n",
    "\n",
    "plt.figure(figsize=[20, 3])\n",
    "plt.plot(lj_data[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 75
    },
    "colab_type": "code",
    "id": "3EJZBVata7To",
    "outputId": "830b5f2b-4057-4e73-f224-558bce35c982"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source 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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 6,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import IPython.display as ipd\n",
    "ipd.Audio(lj_data[0], rate=sample_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 231
    },
    "colab_type": "code",
    "id": "bbTcb2DvGKvE",
    "outputId": "eaaa46e1-a344-4e26-fe2a-3f83d2e303b8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10, 4800)  => (10 waves, 16000 x 0.3 sec)\n"
     ]
    },
    {
     "data": {
      "image/png": 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kR8+amEsKMDBlVBI3HVS6VKJHLwv0qH7+ihH3cGS07ePwZHSn/fBKRgHeub6o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U4u97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\nJEmS+vwJtwEFY55Kq+gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_sine_waves(N, sec, freq, sample_rate):\n",
    "  duration = sec*2\n",
    "  sine_wave = np.sin(2*np.pi*np.arange(sample_rate*duration)*freq/sample_rate)\n",
    "  waves = []\n",
    "  for i in range(N):\n",
    "    start_index = np.random.randint(0, sec*sample_rate, 1)[0]\n",
    "    end_index = start_index + int(sec*sample_rate)\n",
    "    data = sine_wave[start_index:end_index]\n",
    "    waves.append(data)\n",
    "  waves = np.concatenate(waves)\n",
    "  waves = np.reshape(waves, [N, -1])\n",
    "  return waves\n",
    "\n",
    "N = 10 # 사인파 음원 개수\n",
    "sin_data = get_sine_waves(N=N, sec=sec, freq=freq, sample_rate=sample_rate)\n",
    "print(sin_data.shape, \" => ({} waves, {} x {} sec)\".format(N, sample_rate, sec))\n",
    "\n",
    "plt.figure(figsize=[20, 3])\n",
    "plt.plot(sin_data[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 75
    },
    "colab_type": "code",
    "id": "DACB17B78F5p",
    "outputId": "f7127898-ba9d-4bfd-cb99-7a0d6aa18107"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source 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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 8,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import IPython.display as ipd\n",
    "ipd.Audio(sin_data[0], rate=sample_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 214
    },
    "colab_type": "code",
    "id": "jUvx04X28yjT",
    "outputId": "6c4fe6c5-e780-4314-95f4-3336749c9aee"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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r9HvHx7X9fTo6uoAunxM+l21Lv39jRw1i6RzOa7yl6MT4Ig60bO2BDkjBy8HZ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\nNBqNRqPRaDQajUaj0Wiu4/8HETChjkJJKOkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[20, 3])\n",
    "plt.plot(sin_data[0][:1000])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "woRChXC1O1K5"
   },
   "source": [
    "### $\\mu$-law companding\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "VQDiyeHi8Dnm"
   },
   "outputs": [],
   "source": [
    "# 참고: https://github.com/ibab/tensorflow-wavenet\n",
    "\n",
    "def mu_law_encode(audio, quantization_channels):\n",
    "    '''Quantizes waveform amplitudes.'''\n",
    "    with tf.name_scope('encode'):\n",
    "        mu = tf.cast(quantization_channels - 1, tf.float64)\n",
    "        # Perform mu-law companding transformation (ITU-T, 1988).\n",
    "        # Minimum operation is here to deal with rare large amplitudes caused\n",
    "        # by resampling.\n",
    "        safe_audio_abs = tf.minimum(tf.abs(audio), 1.0)\n",
    "        magnitude = tf.math.log1p(mu * safe_audio_abs) / tf.math.log1p(mu)\n",
    "        signal = tf.sign(audio) * magnitude\n",
    "        # Quantize signal to the specified number of levels.\n",
    "        return tf.cast((signal + 1) / 2 * mu + 0.5, tf.int32)\n",
    "\n",
    "\n",
    "def mu_law_decode(output, quantization_channels):\n",
    "    '''Recovers waveform from quantized values.'''\n",
    "    with tf.name_scope('decode'):\n",
    "        mu = quantization_channels - 1\n",
    "        # Map values back to [-1, 1].\n",
    "        signal = 2 * (tf.cast(output, tf.float64) / mu) - 1\n",
    "        # Perform inverse of mu-law transformation.\n",
    "        magnitude = (1 / mu) * ((1 + mu)**abs(signal) - 1)\n",
    "        return tf.sign(signal) * magnitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 503
    },
    "colab_type": "code",
    "id": "Zfd5NO0R8GLE",
    "outputId": "3c7b019a-33fa-44c6-8b30-47998efc4dfc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fac978f6208>]"
      ]
     },
     "execution_count": 11,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TIXDj2SP4+dShdqbCBFR7Zve+D/guUAtsBq5U1X3eqfeygRzvW6xQ1WsCkL3D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\n",
      "text/plain": [
       "<Figure size 288x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(0, 1, 0.005)\n",
    "\n",
    "plt.figure(figsize=[4, 8])\n",
    "ax1 = plt.subplot(311)\n",
    "plt.plot(x, x)\n",
    "\n",
    "x_mu_law = mu_law_encode(x, 256)\n",
    "# print(x_mu_law)\n",
    "ax2 = plt.subplot(312, sharex=ax1)\n",
    "plt.plot(x, x_mu_law)\n",
    "\n",
    "x_recon = mu_law_decode(x_mu_law, 256)\n",
    "# print(x_recon)\n",
    "ax2 = plt.subplot(313, sharex=ax1)\n",
    "plt.plot(x, x_recon)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "TWCpFKdTB0mo"
   },
   "source": [
    "우선 causal convolution이 예상대로 동작하는지 검증해보자. 아래와 같이 kernel size 2로 잡았을 때 바로 이전의 값과 자신의 값을 제대로 convolution하면서 padding도 제대로 동작하고 있는것을 확인할 수 있다. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 221
    },
    "colab_type": "code",
    "id": "czlbvXBGBzvW",
    "outputId": "639d5d33-d1f5-4041-81e7-b7e5e66d961c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[1.]\n",
      "  [2.]\n",
      "  [3.]\n",
      "  [4.]\n",
      "  [5.]\n",
      "  [6.]]]\n",
      "[[[ 1.]\n",
      "  [ 3.]\n",
      "  [ 5.]\n",
      "  [ 7.]\n",
      "  [ 9.]\n",
      "  [11.]]]\n"
     ]
    }
   ],
   "source": [
    "x = tf.cast(tf.reshape([1,2,3,4,5,6], [1,6,1]), tf.float32)\n",
    "print(x.numpy())\n",
    "\n",
    "k_size = 2\n",
    "k_init = tf.constant_initializer(np.ones((k_size,1)))\n",
    "y = Conv1D(filters=1, kernel_size=k_size, strides=1, padding='causal', kernel_initializer=k_init)(x)\n",
    "print(y.numpy())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "jP_2jP3DCPKl"
   },
   "source": [
    "### WaveNet 모델"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "R8d_E19HT6KP"
   },
   "outputs": [],
   "source": [
    "class ResBlock(tf.keras.Model):\n",
    "  def __init__(self, dilation):\n",
    "    super(ResBlock, self).__init__()\n",
    "\n",
    "    self.dilation = dilation\n",
    "    self.conv_filter = Conv1D(\n",
    "        filters=dilation_channels, kernel_size=initial_filter_width, \n",
    "        strides=1, padding='causal', dilation_rate=self.dilation, \n",
    "        kernel_initializer='glorot_normal',\n",
    "        name=\"filter_conv\".format(dilation),\n",
    "    )\n",
    "    self.conv_gate = Conv1D(\n",
    "        filters=dilation_channels, kernel_size=filter_width, \n",
    "        strides=1, padding='causal', dilation_rate=self.dilation,\n",
    "        kernel_initializer='glorot_normal',\n",
    "        name=\"gate_conv\".format(dilation),\n",
    "    )\n",
    "    self.conv_res = Conv1D(\n",
    "        filters=residual_channels, kernel_size=1, strides=1, \n",
    "        dilation_rate=dilation, padding='same', name=\"residual\")\n",
    "    self.conv_skip = Conv1D(\n",
    "        filters=skip_channels, kernel_size=1, strides=1, \n",
    "        dilation_rate=dilation, padding='same', name=\"skip\")\n",
    "\n",
    "  def call(self, x):\n",
    "    # filter & gate => shape: [batch_size, time_steps, 32]\n",
    "    filter = self.conv_filter(x)\n",
    "    gate = self.conv_gate(x)\n",
    "\n",
    "    # z => shape: [batch_size, time_steps, 32]\n",
    "    z = tf.math.tanh(filter) * tf.math.sigmoid(gate)\n",
    "\n",
    "    # residual output => shape: [batch_size, time_steps, 512]\n",
    "    transformed = self.conv_res(z)\n",
    "\n",
    "    # skip output => shape: [batch_size, time_steps, 256]\n",
    "    skip_contrib = self.conv_skip(z)\n",
    "\n",
    "    return skip_contrib, x + transformed\n",
    "\n",
    "res_block = ResBlock(dilation=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "yIvDuwzJ_kxg",
    "outputId": "27a1beea-9b8a-4c50-ac3d-b72c5bb91033"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 4800, 512)\n"
     ]
    }
   ],
   "source": [
    "sample_data = np.random.random([1, int(sec*sample_rate), residual_channels])\n",
    "print(sample_data.shape)\n",
    "out = res_block(sample_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "DFDrZuo__oBa"
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras.layers import Conv1D\n",
    "from tensorflow.keras import Model\n",
    "\n",
    "class WaveNet(tf.keras.Model):\n",
    "  def __init__(self, dilations):\n",
    "    super(WaveNet, self).__init__()\n",
    "    \n",
    "    # pre-process\n",
    "    self.conv1 = Conv1D(\n",
    "        filters=residual_channels, kernel_size=initial_filter_width, \n",
    "        strides=1, padding='causal', kernel_initializer='glorot_normal',\n",
    "        name=\"pre_causal\",\n",
    "    )\n",
    "    \n",
    "    self.res_blocks = []\n",
    "    for dilation in dilations:\n",
    "      block = ResBlock(dilation)\n",
    "      self.res_blocks.append(block)\n",
    "    \n",
    "    # post-process\n",
    "    self.post_conv_1 = Conv1D(\n",
    "        post_proc_channels, kernel_size=1, strides=1, padding=\"SAME\",\n",
    "        kernel_initializer='glorot_normal', \n",
    "        name='post_1',\n",
    "    )\n",
    "    self.post_conv_2 = Conv1D(\n",
    "        quantization_channels, kernel_size=1, strides=1, padding=\"SAME\",\n",
    "        kernel_initializer='glorot_normal', \n",
    "        name='post_2',\n",
    "    )\n",
    "\n",
    "  def call(self, input):\n",
    "    # input => shape: [batch_size, time_steps, 1]\n",
    "    # print(\"input\", input.shape)\n",
    "    \n",
    "    # 1. Pre-process : causal convolution\n",
    "    ######################################\n",
    "    x = self.conv1(input) \n",
    "    # => shape: [batch_size, time_steps, 512]\n",
    "    # print(\"x\", x.shape)\n",
    "    \n",
    "    # 2. Dilated convolution Stack\n",
    "    ######################################\n",
    "    skips = []\n",
    "    for block in self.res_blocks:\n",
    "      skip, x = block(x)\n",
    "      skips.append(skip)\n",
    "      \n",
    "    # 3. Post-process: (+) -> ReLU -> 1x1 conv -> ReLU -> 1x1 conv\n",
    "    ######################################\n",
    "    \n",
    "    # aggregate skip connections => shape: [batch_size, time_steps, 256]\n",
    "    total = sum(skips)\n",
    "    \n",
    "    # post-process 1 => shape: [batch_size, time_steps, 256]\n",
    "    transformed1 = tf.keras.activations.relu(total)\n",
    "    post_conv1 = self.post_conv_1(transformed1)\n",
    "    \n",
    "    # post-process 2 => shape: [batch_size, time_steps, 256]\n",
    "    transformed2 = tf.keras.activations.relu(post_conv1)\n",
    "    post_conv2 = self.post_conv_2(transformed2)\n",
    "    \n",
    "    # output => shape: [batch_size, time_steps, 256]\n",
    "    return post_conv2\n",
    "\n",
    "wavenet_model = WaveNet(dilations=dilations)\n",
    "# wavenet_model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JjiCAflaCSkb"
   },
   "source": [
    "샘플 데이터 만들어서"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "id": "B00cXUvMVs4m",
    "outputId": "eaa2912d-758f-458f-ab97-bc6fc2f706ad"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 4800)  => (1 batches, 16000 x 0.3 sec)\n",
      "input shape: (1, 4800, 1)\n",
      "output shape: (1, 4800, 256)\n"
     ]
    }
   ],
   "source": [
    "N = 1\n",
    "sine_data = get_sine_waves(N=N, sec=sec, freq=freq, sample_rate=sample_rate)\n",
    "sine_data = mu_law_encode(sine_data, mu)\n",
    "print(sine_data.shape, \" => ({} batches, {} x {} sec)\".format(N, sample_rate, sec))\n",
    "\n",
    "train_data = tf.cast(tf.expand_dims(sine_data, -1), tf.float32)\n",
    "print(\"input shape:\", train_data.shape)\n",
    "out = wavenet_model(train_data)\n",
    "print(\"output shape:\", out.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Uu9a5IEbCUnx"
   },
   "source": [
    "학습이 안된 WaveNet에 입력해서 결과 확인해보면 네트워크가 랜덤 초기화되어 있기 때문에 잡음스러운 결과가 나옴. \n",
    "(그래도 사인파를 입력으로 넣었기 때문에 어느 정도는 주기성이 보인다.) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 299
    },
    "colab_type": "code",
    "id": "bnTzehQ7UDjG",
    "outputId": "f39e0807-0207-491c-9609-4f7e11bf9912"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[201 177  92  92  57 201 201 177  92 234]\n",
      "tf.Tensor(\n",
      "[ 0.09196093  0.02984007 -0.01444337 -0.01444337 -0.08023245  0.09196093\n",
      "  0.09196093  0.02984007 -0.01444337  0.39884044], shape=(10,), dtype=float64)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fac965f6f60>]"
      ]
     },
     "execution_count": 17,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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P/bA8k8yseaUeuis00Zdzfychk2M3DNuAWxpkUqJf4afi8xrvmTQ4yiCTbgdwmRDiYiFE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\nIAiN+f8BXa5CnJn63nEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output = np.argmax(out[0], axis=1)\n",
    "output_wav = mu_law_decode(output, mu)\n",
    "print(output[:10])\n",
    "print(output_wav[:10])\n",
    "\n",
    "x = np.arange(0, int(sec*sample_rate))\n",
    "plt.figure(figsize=[20, 3]); plt.plot(x[:1000], output_wav.numpy()[:1000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 75
    },
    "colab_type": "code",
    "id": "KXTEmrkF4pU7",
    "outputId": "cb009d25-6060-464b-fdba-40d06a5ae54f"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source 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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 18,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import IPython.display as ipd\n",
    "ipd.Audio(output_wav, rate=sample_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "ozQmvDszfJER"
   },
   "outputs": [],
   "source": [
    "def loss(model, x, y):\n",
    "  y_ = model(x)\n",
    "\n",
    "  cross_entropy_list = []\n",
    "  batch_size_ = y.shape[0]\n",
    "  for i in range(batch_size_):\n",
    "    cross_entropy = tf.losses.sparse_softmax_cross_entropy(\n",
    "        labels=y[i, 1:], logits=y_[i, :-1])\n",
    "    cross_entropy_list.append(cross_entropy)\n",
    "  loss = tf.reduce_mean(cross_entropy_list)\n",
    "  return loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 139
    },
    "colab_type": "code",
    "id": "70ziEo_4r-nN",
    "outputId": "be7ceca2-3f9e-465e-b833-f7b33a17dd01"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 4800, 1)\n",
      "(1, 4800)\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/losses/losses_impl.py:209: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "Loss test: 5.9969916343688965\n"
     ]
    }
   ],
   "source": [
    "sine_data = get_sine_waves(N=1, sec=sec, freq=freq, sample_rate=sample_rate)\n",
    "sine_data = mu_law_encode(sine_data, mu)\n",
    "\n",
    "train_data = tf.cast(tf.expand_dims(sine_data, -1), tf.float32)\n",
    "target_data = sine_data\n",
    "\n",
    "print(train_data.shape)\n",
    "print(target_data.shape)\n",
    "\n",
    "l = loss(wavenet_model, train_data, target_data)\n",
    "print(\"Loss test: {}\".format(l))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "NJMLVu4_iL0Z"
   },
   "outputs": [],
   "source": [
    "def grad(model, inputs, targets):\n",
    "  with tf.GradientTape() as tape:\n",
    "    loss_value = loss(model, inputs, targets)\n",
    "  return loss_value, tape.gradient(loss_value, model.trainable_variables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "AQbPq0P9tdrE",
    "outputId": "e9370493-2cd0-4fff-fb36-93facdc7bf6a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step: 0, Initial Loss: 5.9969916343688965\n"
     ]
    }
   ],
   "source": [
    "global_step = tf.Variable(0)\n",
    "loss_value, grads = grad(wavenet_model, train_data, target_data)\n",
    "\n",
    "print(\"Step: {}, Initial Loss: {}\".format(global_step.numpy(), loss_value))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "mE_X0wLvEijO"
   },
   "source": [
    "LJ-Speech 데이터 (전체 데이터는 colab에서 학습이 불가능하기 때문에 wav 파일 단 한개만으로 학습 진행함)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "LRjg2dYyTP9e",
    "outputId": "dc685cb3-ece9-417c-a230-e4737159c684"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<generator object generator_from_wav_file at 0x7fac9663c518>\n"
     ]
    }
   ],
   "source": [
    "def generator_from_wav_file(filename, N, time_length):\n",
    "  wav, _ = librosa.core.load(filename, sr=sample_rate, dtype=np.float64)\n",
    "  \n",
    "  waves = []\n",
    "  for i in range(N):\n",
    "    start_index = np.random.randint(len(wav)-sec*sample_rate+1)\n",
    "    end_index = start_index + int(sec*sample_rate)\n",
    "    data = wav[start_index:end_index]\n",
    "    waves.append(data)\n",
    "    \n",
    "  waves = np.concatenate(waves)\n",
    "  waves = tf.cast(mu_law_encode(waves, 256), tf.float64)\n",
    "  waves = np.reshape(waves, [N, -1])\n",
    "  \n",
    "  yield waves\n",
    "  \n",
    "wav_file = data_files[0]\n",
    "lj_data = generator_from_wav_file(wav_file, 1, int(sec*sample_rate))\n",
    "print(lj_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 275
    },
    "colab_type": "code",
    "id": "gkgHOmnkoKYg",
    "outputId": "b4db7a76-7dae-4d70-9abe-3c85a5ab43ee"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py:429: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "tf.py_func is deprecated in TF V2. Instead, use\n",
      "    tf.py_function, which takes a python function which manipulates tf eager\n",
      "    tensors instead of numpy arrays. It's easy to convert a tf eager tensor to\n",
      "    an ndarray (just call tensor.numpy()) but having access to eager tensors\n",
      "    means `tf.py_function`s can use accelerators such as GPUs as well as\n",
      "    being differentiable using a gradient tape.\n",
      "    \n",
      "<DatasetV1Adapter shapes: (?, 4800), types: tf.float64>\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/iterator_ops.py:532: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "(2, 4800) 31.0 233.0\n"
     ]
    }
   ],
   "source": [
    "wav_file_name = data_files[35]\n",
    "train_dataset_lj = tf.data.Dataset.from_generator(\n",
    "    generator_from_wav_file, tf.float64, output_shapes=(None, int(sec*sample_rate)),\n",
    "    args=(wav_file_name, batch_size, int(sec*sample_rate)))\n",
    "train_dataset_lj = train_dataset_lj.repeat()\n",
    "print(train_dataset_lj)\n",
    "\n",
    "for d in train_dataset_lj:\n",
    "  print(d.shape, np.min(d), np.max(d))\n",
    "  break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "m0d7fwIXEpD3"
   },
   "source": [
    "사인파 데이터"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "x8KVAcptf_fQ",
    "outputId": "fe9fc83a-cbbb-46e1-87a3-2a4d8d9a8698"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<generator object generator_sine_wave at 0x7fac9cb82b48>\n"
     ]
    }
   ],
   "source": [
    "def generator_sine_wave(batch_size, sec, freq, sample_rate):\n",
    "  duration = sec*2\n",
    "  sine_wave = np.sin(2*np.pi*np.arange(sample_rate*duration)*freq/sample_rate)\n",
    "  waves = []\n",
    "  for i in range(batch_size):\n",
    "    start_index = np.random.randint(0, sec*sample_rate, 1)[0]\n",
    "    end_index = start_index + int(sec*sample_rate)\n",
    "    data = sine_wave[start_index:end_index]\n",
    "    waves.append(data)\n",
    "  waves = np.concatenate(waves)\n",
    "  waves = tf.cast(mu_law_encode(waves, 256), tf.float64)\n",
    "  waves = np.reshape(waves, [batch_size, -1])\n",
    "  \n",
    "  yield waves\n",
    "\n",
    "sine_data = generator_sine_wave(\n",
    "    batch_size=batch_size, sec=sec, freq=freq, sample_rate=sample_rate)\n",
    "print(sine_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 51
    },
    "colab_type": "code",
    "id": "mSxp_kh1hm1x",
    "outputId": "c660d41d-3711-4972-9220-b648969ea9ca"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<DatasetV1Adapter shapes: (?, 4800), types: tf.float64>\n",
      "(2, 4800) 0.0 255.0\n"
     ]
    }
   ],
   "source": [
    "train_dataset = tf.data.Dataset.from_generator(\n",
    "    generator_sine_wave, tf.float64, output_shapes=(None, sec*sample_rate), \n",
    "    args=(batch_size, sec, freq, sample_rate))\n",
    "train_dataset = train_dataset.repeat()\n",
    "print(train_dataset)\n",
    "\n",
    "for d in train_dataset:\n",
    "  print(d.shape, np.min(d), np.max(d))\n",
    "  break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vj5u6cKsmxS1"
   },
   "outputs": [],
   "source": [
    "import logging\n",
    "logging.getLogger(\"tensorflow\").setLevel(logging.ERROR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 4097
    },
    "colab_type": "code",
    "id": "T6DPbPHKL9Gx",
    "outputId": "09e78731-456c-4e72-9464-476b93ca0ae5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 000 Iter 0000: Loss: 5.9401502609\n",
      "Epoch 000 Iter 0010: Loss: 5.7149500413\n",
      "Epoch 000 Iter 0020: Loss: 5.6371709960\n",
      "Epoch 000 Iter 0030: Loss: 5.6073317066\n",
      "Epoch 000 Iter 0040: Loss: 5.5755929714\n",
      "Epoch 000 Iter 0050: Loss: 5.5556990680\n",
      "Epoch 000 Iter 0060: Loss: 5.5434770819\n",
      "Epoch 000 Iter 0070: Loss: 5.5333570427\n",
      "Epoch 000 Iter 0080: Loss: 5.5231099835\n",
      "Epoch 000 Iter 0090: Loss: 5.5113605929\n",
      "Epoch 000 Iter 0100: Loss: 5.4929193270\n",
      "batch_y: (2, 4800) tf.Tensor(\n",
      "[ 90  99 117 127 117 129 143 163 163 163 169 162 164 155 155 140 124 134\n",
      " 130 115 119 137 110 117 110 108  93  93  95  93  99 103  98 113 132 113\n",
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      " 178 176 176 172 166 162 166 148 146 146 117 113 107  93  85  83  83  80\n",
      "  80  83  82  86  81  87  90  82  92  85  91  88  78  88  90  90  86  94\n",
      "  89  96  91  93  99  90 106  99 108 103], shape=(100,), dtype=int32)\n",
      "out_wav: (2, 4800) [ 76 177 149 149 149 149 149 149 149 149 149 149 149 149 149 178 178 178\n",
      " 178 178 178 178 178 178 102 102 102  64  64 162  64 162 162 162 162 162\n",
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      " 162 162 162 162 162 162 144 144 144 144 144 144 144 144 144 144 144 144\n",
      " 144 144 144 144 144  94  94  94 129 129]\n",
      "Epoch 001 Iter 0000: Loss: 5.4910724864\n",
      "Epoch 001 Iter 0010: Loss: 5.4692461363\n",
      "Epoch 001 Iter 0020: Loss: 5.4509983727\n",
      "Epoch 001 Iter 0030: Loss: 5.4353877667\n",
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      "Epoch 001 Iter 0090: Loss: 5.3594794646\n",
      "Epoch 001 Iter 0100: Loss: 5.3403290711\n",
      "batch_y: (2, 4800) tf.Tensor(\n",
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      " 140 139 133 133 130 121 120 125 129 125], shape=(100,), dtype=int32)\n",
      "out_wav: (2, 4800) [132 129 129 129 132 132 132 132 125 125 125 127 131 132 127 127 127 127\n",
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      " 127 127 127 127 126 129 129 126 127 127 127 127 127 127 127 127 127 127\n",
      " 127 127 127 127 127 127 127 127 127 127]\n",
      "Epoch 002 Iter 0000: Loss: 5.3378527458\n",
      "Epoch 002 Iter 0010: Loss: 5.3233463708\n",
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      "Epoch 002 Iter 0090: Loss: 5.1994834483\n",
      "Epoch 002 Iter 0100: Loss: 5.1840718886\n",
      "batch_y: (2, 4800) tf.Tensor(\n",
      "[128 127 127 128 129 132 131 129 128 127 129 130 131 133 135 135 133 131\n",
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      " 133 133 134 135 135 137 139 138 138 137 134 131 127 127 127 126 127 126\n",
      " 125 123 121 119 118 117 116 117 120 123], shape=(100,), dtype=int32)\n",
      "out_wav: (2, 4800) [128 128 128 128 128 123 128 128 128 131 131 131 131 131 131 131 131 123\n",
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      " 126 126 126 126 126 131 131 126 126 126 126 126 131 127 127 127 127 127\n",
      " 127 127 127 127 127 127 127 127 127 127]\n",
      "Epoch 003 Iter 0000: Loss: 5.1828532517\n",
      "Epoch 003 Iter 0010: Loss: 5.1668638287\n",
      "Epoch 003 Iter 0020: Loss: 5.1560294628\n",
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      "batch_y: (2, 4800) tf.Tensor(\n",
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      "  82  88  95 104 117 135 148 157 162 166 168 167 164 160 155 149 141 128\n",
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      "  79  74  70  67  66  64  64  63  63  62], shape=(100,), dtype=int32)\n",
      "out_wav: (2, 4800) [ 59  59  59  59  59  64  59  59  62  62  62  86  86  86  86 147 147 147\n",
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      "  69  64  56  56  56  56  56  56  59  59]\n",
      "Epoch 004 Iter 0000: Loss: 5.0636638006\n",
      "Epoch 004 Iter 0010: Loss: 5.0524287718\n",
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      "batch_y: (2, 4800) tf.Tensor(\n",
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      "out_wav: (2, 4800) [115 159 159 139 159 139 146 159 116 155 116 139 147 159 159 141 125 125\n",
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      "Epoch 005 Iter 0000: Loss: 4.9660779026\n",
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      "  92  87  84  82  81  81  83  86  92 100], shape=(100,), dtype=int32)\n",
      "out_wav: (2, 4800) [ 63  68  75  68  76  59  76  68  68  55  68  68  76 128 122 127 129 129\n",
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      "  64  68  76  85  85  85  96  96  96  96 102 112 112 112 112 112 112 112\n",
      " 112  92  92  96  96  96  92  99 112 112]\n",
      "Epoch 006 Iter 0000: Loss: 4.8820253090\n",
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      "batch_y: (2, 4800) tf.Tensor(\n",
      "[ 86 164 152  78  68 160 186 177 175 186 182 176 196 208 201 184 193 203\n",
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      "  97 139 175 165 160 157 161 176 179 176 163 164 149 160 165 166 103  93\n",
      " 116 113  94  95  84  85 162 162  96  73 158 185 180 181 185 180 176 197\n",
      " 206 199 189 194 201 201 202 204 194 183], shape=(100,), dtype=int32)\n",
      "out_wav: (2, 4800) [ 62 124 124  63  62 124 124 124 125 119 119 170 170 170 152 153 125 128\n",
      " 128 128 128 125 125 125 135 135 137 101  67  67  64  67  63  63  63  63\n",
      "  61  61  61  61  58  58  60  63  63  63  63  63  65  75  79  79  86  89\n",
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      "  81  81  81  81  81  78 105 165 105  79  93 165 168 168 177 148 140 177\n",
      " 177 182 182 182 182 182 182 182 182 163]\n",
      "Epoch 007 Iter 0000: Loss: 4.8041106392\n",
      "Epoch 007 Iter 0010: Loss: 4.7979845333\n",
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      "batch_y: (2, 4800) tf.Tensor(\n",
      "[ 46  43  46  57  78 156 162 159 174 190 203 210 211 208 206 207 208 207\n",
      " 208 206 195 180 170 163 131  81  66  56  50  48  50  51  48  46  45  49\n",
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      "  43  43  44  48  49  45  44  49  61  80], shape=(100,), dtype=int32)\n",
      "out_wav: (2, 4800) [ 41  50  50  50 116 132 132 127 180 198 198 198 205 205 205 190 205 205\n",
      " 186 186 166 127 127 128  85  56  52  52  52  48  49  49  49  48  48  48\n",
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      " 216 216 203 209 215 215 215 203 203 202 186  60  55  57  57  54  44  47\n",
      "  44  44  44  44  44  47  50  50  53  65]\n",
      "Epoch 008 Iter 0000: Loss: 4.7332153986\n",
      "Epoch 008 Iter 0010: Loss: 4.7262309893\n",
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      "batch_y: (2, 4800) tf.Tensor(\n",
      "[ 64  61  60  60  58  57  58  58  61  63  64  69  72  78  92 113 122 145\n",
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      "  49  51  52  51  54  57  64  68  73  84], shape=(100,), dtype=int32)\n",
      "out_wav: (2, 4800) [ 57  50  50  50  50  50  50  50  49  49  54  68  68  88 128 133 128 174\n",
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      " 185 185 174 180 177 177 175 165 165  88  57  57  53  49  49  49  49  49\n",
      "  49  49  49  49  54  54  54  63  65  90]\n",
      "Epoch 009 Iter 0000: Loss: 4.6629529906\n",
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      "Epoch 009 Iter 0100: Loss: 4.6001197551\n",
      "batch_y: (2, 4800) tf.Tensor(\n",
      "[198 197 196 194 192 189 185 178 169 153 114  92  80  73  68  64  61  59\n",
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      " 166 173 177 181 183 184 184 183 181 180 177 173 168 164 159 152 143 128\n",
      " 118 117 112 107 104 103 105 105 106 105 106 114 130 143 152 159 166 173\n",
      " 178 181 185 187 190 192 193 194 195 195 194 193 191 188 184 179 172 159\n",
      " 132 100  87  79  73  68  65  63  61  59], shape=(100,), dtype=int32)\n",
      "out_wav: (2, 4800) [180 180 180 180 207 179 180 180 180 129  99  83  74  57  68  51  58  57\n",
      "  58  58  58  69  61  61  67  67  73  73  72  72  87  89 103 148 164 182\n",
      " 173 182 173 183 180 180 201 201 179 179 177 179 128 128 128 113 113  99\n",
      "  98 102  98  84  83  94  98 105 112 112 105 125 125 126 151 151 151 150\n",
      " 150 164 180 165 173 182 182 182 182 182 173 182 182 163 163 163 150 143\n",
      " 103  93  81  77  67  67  61  61  61  58]\n"
     ]
    }
   ],
   "source": [
    "train_loss_results = []\n",
    "\n",
    "learning_rate=tf.train.exponential_decay(\n",
    "            learning_rate=0.001,\n",
    "            decay_steps=1000,\n",
    "            global_step=tf.train.get_or_create_global_step(),\n",
    "            decay_rate=0.9)\n",
    "optimizer = tf.train.RMSPropOptimizer(learning_rate=learning_rate)\n",
    "\n",
    "epoch_loss_avg = tf.contrib.eager.metrics.Mean()\n",
    "\n",
    "# Training loop \n",
    "for epoch in range(10):\n",
    "  for i, x in enumerate(train_dataset_lj):\n",
    "    # Optimize the model\n",
    "    batch_x = tf.cast(tf.expand_dims(x, -1), tf.float32)\n",
    "    batch_y = tf.cast(x, tf.int32)\n",
    "    # print(\"X:\", batch_x.shape, batch_x[:5])\n",
    "    # print(\"Y:\", batch_y.shape, batch_y[:5])\n",
    "\n",
    "    loss_value, grads = grad(wavenet_model, batch_x, batch_y)\n",
    "    optimizer.apply_gradients(zip(grads, wavenet_model.variables),\n",
    "                              global_step)\n",
    "\n",
    "    # Track progress\n",
    "    epoch_loss_avg(loss_value)  # add current batch loss\n",
    "\n",
    "    if i % 10 == 0:\n",
    "      # print(\"batch_x:\", batch_x.shape, np.min(batch_x), np.max(batch_x), np.median(batch_x))\n",
    "      # print(\"batch_y:\", batch_y.shape, np.min(batch_y), np.max(batch_y), np.median(batch_y))\n",
    "      # out = wavenet_model(batch_x)\n",
    "      # print(\"output:\", np.min(out), np.max(out), np.median(out), out.shape)\n",
    "      # out_wav = np.argmax(out, 2)\n",
    "      train_loss_results.append(loss_value)\n",
    "      print(\"Epoch {:03d} Iter {:04d}: Loss: {:.10f}\".format(epoch, i, epoch_loss_avg.result()))\n",
    "    if i == 100:\n",
    "      break\n",
    "      \n",
    "  out = wavenet_model(batch_x)\n",
    "  out_wav = np.argmax(out, 2)\n",
    "  print(\"batch_y:\", batch_y.shape, batch_y[0][:100])\n",
    "  print(\"out_wav:\", out_wav.shape, out_wav[0][:100])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 286
    },
    "colab_type": "code",
    "id": "mbe6JFwDriOo",
    "outputId": "d57aca3b-fb99-46e4-d555-fe0d5df9aa4c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fac94a58d30>]"
      ]
     },
     "execution_count": 29,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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j68+cXtQ5CGIpIHG/QBDlkJUmUwHAapTcbCqTQ39rXtx7vFal6gZQxTKOMs49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\nQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(train_loss_results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "97pxeGw6OzUn"
   },
   "source": [
    "앞에서 학습한 wavenet 모델에 음원을 입력하여 샘플 데이터 생성"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 497
    },
    "colab_type": "code",
    "id": "Oe3DRC0ZKp3B",
    "outputId": "7b8f1871-8232-4def-d172-ade354e04198"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input shape: (2, 4800, 1)\n",
      "output shape: (2, 4800, 256)\n",
      "48 219 [ 78  78  78  69  78 165 190 199 180 206]\n",
      "-0.12054945712135974 0.20584010893352592 tf.Tensor(\n",
      "[-0.02984007 -0.02984007 -0.02984007 -0.0460148  -0.02984007  0.01611234\n",
      "  0.05550349  0.0839732   0.03454541  0.11525205], shape=(10,), dtype=float64)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fac9a9a4b00>]"
      ]
     },
     "execution_count": 30,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wlTiTLDo11ErC5YI5mKhMTGo3a5HJUS5b3TKXUbtl7XbPgOTGAcCtI+f8Qhi7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\nqhtaicuuZFGE8TdbDPGXCyKIDXDi6R8SKantf+BNlmW+PJz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5Olt39qYyhrZ2LXFZlQNq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8vCSX1pOWtvjkWhGDuvCUEQBEEQBEEQRDBpzPF2skYh9R5MSi6sJdjNdghXNTyUConx4+w5mVfV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\nJJgkhBBCCCGEEEIIIXz2/3JdnoZzAWbCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sample_itr = train_dataset_lj.make_one_shot_iterator()\n",
    "sample_data = sample_itr.get_next()\n",
    "sample_tensor = tf.cast(tf.expand_dims(sample_data, -1), tf.float32)\n",
    "print(\"input shape:\", sample_tensor.shape)\n",
    "\n",
    "out = wavenet_model(sample_tensor)\n",
    "print(\"output shape:\", out.shape)\n",
    "# wavenet_model.summary()\n",
    "\n",
    "output = np.argmax(out[0], axis=1)\n",
    "output_wav = mu_law_decode(output, 256)\n",
    "print(np.min(output), np.max(output), output[:10])\n",
    "print(np.min(output_wav), np.max(output_wav), output_wav[:10])\n",
    "\n",
    "plt.figure(figsize=[20, 6])\n",
    "ax1 = plt.subplot(211)\n",
    "plt.plot(mu_law_decode(sample_data[0], 256).numpy()[:1000])\n",
    "ax2 = plt.subplot(212, sharex=ax1)\n",
    "plt.plot(output_wav.numpy()[:1000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 231
    },
    "colab_type": "code",
    "id": "TABuJxkwJe2A",
    "outputId": "631f6136-4c51-4fb0-b3b3-b99b1a01bc59"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fac9cbd7668>]"
      ]
     },
     "execution_count": 31,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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reyxb3oiIiIiIiKiYwHh8ESnlcgDL8z52h+vtNbDa2Qqt/SWAX47HdUxETibkc4jSUVco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\nWJVX9T42kC82bDQuBU3KN394k85b3aWDfUOx+lCF3v/G1ZK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      "text/plain": [
       "<Figure size 1440x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[20, 3]); plt.plot(output_wav.numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 75
    },
    "colab_type": "code",
    "id": "D4TbCx-xZFZg",
    "outputId": "061cff95-4a9c-4e13-e468-0b196a745779"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source 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type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 32,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import IPython.display as ipd\n",
    "ipd.Audio(output_wav.numpy(), rate=sample_rate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "pnnu3GfGb7e1"
   },
   "source": [
    "새로운 음원 생성 테스트 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "pgVPxrVxf8iK"
   },
   "outputs": [],
   "source": [
    "# wav_zeros = np.zeros((8000,), dtype=np.float64)\n",
    "# wav, _ = librosa.core.load(wav_file_name, sr=sample_rate, dtype=np.float64)\n",
    "# init_wav = np.concatenate([wav_zeros, wav[:8000]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 286
    },
    "colab_type": "code",
    "id": "2FMK7gdArOEz",
    "outputId": "242ea9f2-8750-446a-8a96-deca9213d0dc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fac9cda1208>]"
      ]
     },
     "execution_count": 34,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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c+wUl0P3opU/w9Kx11nPN4bvP+wslmoQjUazbmRkNwzZJAdSM+NhERM1jCExg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\n57vgN1oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wav, _ = librosa.core.load(wav_file_name, sr=sample_rate, dtype=np.float64)\n",
    "init_wav = wav[:4800]\n",
    "plt.plot(init_wav)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 66,
     "resources": {
      "http://localhost:8080/nbextensions/google.colab/colabwidgets/controls.css": {
       "data": "/* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /* We import all of these together in a single css file because the Webpack
loader sees only one file at a time. This allows postcss to see the variable
definitions when they are used. */

 /*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

 /*
This file is copied from the JupyterLab project to define default styling for
when the widget styling is compiled down to eliminate CSS variables. We make one
change - we comment out the font import below.
*/

 /**
 * The material design colors are adapted from google-material-color v1.2.6
 * https://github.com/danlevan/google-material-color
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/dist/palette.var.css
 *
 * The license for the material design color CSS variables is as follows (see
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/LICENSE)
 *
 * The MIT License (MIT)
 *
 * Copyright (c) 2014 Dan Le Van
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

 /*
The following CSS variables define the main, public API for styling JupyterLab.
These variables should be used by all plugins wherever possible. In other
words, plugins should not define custom colors, sizes, etc unless absolutely
necessary. This enables users to change the visual theme of JupyterLab
by changing these variables.

Many variables appear in an ordered sequence (0,1,2,3). These sequences
are designed to work well together, so for example, `--jp-border-color1` should
be used with `--jp-layout-color1`. The numbers have the following meanings:

* 0: super-primary, reserved for special emphasis
* 1: primary, most important under normal situations
* 2: secondary, next most important under normal situations
* 3: tertiary, next most important under normal situations

Throughout JupyterLab, we are mostly following principles from Google's
Material Design when selecting colors. We are not, however, following
all of MD as it is not optimized for dense, information rich UIs.
*/

 /*
 * Optional monospace font for input/output prompt.
 */

 /* Commented out in ipywidgets since we don't need it. */

 /* @import url('https://fonts.googleapis.com/css?family=Roboto+Mono'); */

 /*
 * Added for compabitility with output area
 */

 :root {

  /* Borders

  The following variables, specify the visual styling of borders in JupyterLab.
   */

  /* UI Fonts

  The UI font CSS variables are used for the typography all of the JupyterLab
  user interface elements that are not directly user generated content.
  */ /* Base font size */ /* Ensures px perfect FontAwesome icons */

  /* Use these font colors against the corresponding main layout colors.
     In a light theme, these go from dark to light.
  */

  /* Use these against the brand/accent/warn/error colors.
     These will typically go from light to darker, in both a dark and light theme
   */

  /* Content Fonts

  Content font variables are used for typography of user generated content.
  */ /* Base font size */


  /* Layout

  The following are the main layout colors use in JupyterLab. In a light
  theme these would go from light to dark.
  */

  /* Brand/accent */

  /* State colors (warn, error, success, info) */

  /* Cell specific styles */
  /* A custom blend of MD grey and blue 600
   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
  /* A custom blend of MD grey and orange 600
   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */

  /* Notebook specific styles */

  /* Console specific styles */

  /* Toolbar specific styles */
}

 /* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /*
 * We assume that the CSS variables in
 * https://github.com/jupyterlab/jupyterlab/blob/master/src/default-theme/variables.css
 * have been defined.
 */

 /* This file has code derived from PhosphorJS CSS files, as noted below. The license for this PhosphorJS code is:

Copyright (c) 2014-2017, PhosphorJS Contributors
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

*/

 /*
 * The following section is derived from https://github.com/phosphorjs/phosphor/blob/23b9d075ebc5b73ab148b6ebfc20af97f85714c4/packages/widgets/style/tabbar.css 
 * We've scoped the rules so that they are consistent with exactly our code.
 */

 .jupyter-widgets.widget-tab > .p-TabBar {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
  margin: 0;
  padding: 0;
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  list-style-type: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] > .p-TabBar-content {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] > .p-TabBar-content {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
  -webkit-box-sizing: border-box;
          box-sizing: border-box;
  overflow: hidden;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
  -webkit-box-flex: 0;
      -ms-flex: 0 0 auto;
          flex: 0 0 auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel {
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  overflow: hidden;
  white-space: nowrap;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-hidden {
  display: none !important;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab {
  position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='horizontal'] .p-TabBar-tab {
  left: 0;
  -webkit-transition: left 150ms ease;
  transition: left 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='vertical'] .p-TabBar-tab {
  top: 0;
  -webkit-transition: top 150ms ease;
  transition: top 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging {
  -webkit-transition: none;
  transition: none;
}

 /* End tabbar.css */

 :root { /* margin between inline elements */

    /* From Material Design Lite */
}

 .jupyter-widgets {
    margin: 2px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    color: black;
    overflow: visible;
}

 .jupyter-widgets.jupyter-widgets-disconnected::before {
    line-height: 28px;
    height: 28px;
}

 .jp-Output-result > .jupyter-widgets {
    margin-left: 0;
    margin-right: 0;
}

 /* vbox and hbox */

 .widget-inline-hbox {
    /* Horizontal widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
    -webkit-box-align: baseline;
        -ms-flex-align: baseline;
            align-items: baseline;
}

 .widget-inline-vbox {
    /* Vertical Widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widget-box {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    margin: 0;
    overflow: auto;
}

 .widget-gridbox {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: grid;
    margin: 0;
    overflow: auto;
}

 .widget-hbox {
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
}

 .widget-vbox {
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 /* General Button Styling */

 .jupyter-button {
    padding-left: 10px;
    padding-right: 10px;
    padding-top: 0px;
    padding-bottom: 0px;
    display: inline-block;
    white-space: nowrap;
    overflow: hidden;
    text-overflow: ellipsis;
    text-align: center;
    font-size: 13px;
    cursor: pointer;

    height: 28px;
    border: 0px solid;
    line-height: 28px;
    -webkit-box-shadow: none;
            box-shadow: none;

    color: rgba(0, 0, 0, .8);
    background-color: #EEEEEE;
    border-color: #E0E0E0;
    border: none;
}

 .jupyter-button i.fa {
    margin-right: 4px;
    pointer-events: none;
}

 .jupyter-button:empty:before {
    content: "\200b"; /* zero-width space */
}

 .jupyter-widgets.jupyter-button:disabled {
    opacity: 0.6;
}

 .jupyter-button i.fa.center {
    margin-right: 0;
}

 .jupyter-button:hover:enabled, .jupyter-button:focus:enabled {
    /* MD Lite 2dp shadow */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
            box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .jupyter-button:active, .jupyter-button.mod-active {
    /* MD Lite 4dp shadow */
    -webkit-box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
            box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
    color: rgba(0, 0, 0, .8);
    background-color: #BDBDBD;
}

 .jupyter-button:focus:enabled {
    outline: 1px solid #64B5F6;
}

 /* Button "Primary" Styling */

 .jupyter-button.mod-primary {
    color: rgba(255, 255, 255, 1.0);
    background-color: #2196F3;
}

 .jupyter-button.mod-primary.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 .jupyter-button.mod-primary:active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 /* Button "Success" Styling */

 .jupyter-button.mod-success {
    color: rgba(255, 255, 255, 1.0);
    background-color: #4CAF50;
}

 .jupyter-button.mod-success.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 .jupyter-button.mod-success:active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 /* Button "Info" Styling */

 .jupyter-button.mod-info {
    color: rgba(255, 255, 255, 1.0);
    background-color: #00BCD4;
}

 .jupyter-button.mod-info.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 .jupyter-button.mod-info:active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 /* Button "Warning" Styling */

 .jupyter-button.mod-warning {
    color: rgba(255, 255, 255, 1.0);
    background-color: #FF9800;
}

 .jupyter-button.mod-warning.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 .jupyter-button.mod-warning:active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 /* Button "Danger" Styling */

 .jupyter-button.mod-danger {
    color: rgba(255, 255, 255, 1.0);
    background-color: #F44336;
}

 .jupyter-button.mod-danger.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 .jupyter-button.mod-danger:active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 /* Widget Button*/

 .widget-button, .widget-toggle-button {
    width: 148px;
}

 /* Widget Label Styling */

 /* Override Bootstrap label css */

 .jupyter-widgets label {
    margin-bottom: 0;
    margin-bottom: initial;
}

 .widget-label-basic {
    /* Basic Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-label {
    /* Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-inline-hbox .widget-label {
    /* Horizontal Widget Label */
    color: black;
    text-align: right;
    margin-right: 8px;
    width: 80px;
    -ms-flex-negative: 0;
        flex-shrink: 0;
}

 .widget-inline-vbox .widget-label {
    /* Vertical Widget Label */
    color: black;
    text-align: center;
    line-height: 28px;
}

 /* Widget Readout Styling */

 .widget-readout {
    color: black;
    font-size: 13px;
    height: 28px;
    line-height: 28px;
    overflow: hidden;
    white-space: nowrap;
    text-align: center;
}

 .widget-readout.overflow {
    /* Overflowing Readout */

    /* From Material Design Lite
        shadow-key-umbra-opacity: 0.2;
        shadow-key-penumbra-opacity: 0.14;
        shadow-ambient-shadow-opacity: 0.12;
     */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                        0 3px 1px -2px rgba(0, 0, 0, .14),
                        0 1px 5px 0 rgba(0, 0, 0, .12);

    box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                0 3px 1px -2px rgba(0, 0, 0, .14),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .widget-inline-hbox .widget-readout {
    /* Horizontal Readout */
    text-align: center;
    max-width: 148px;
    min-width: 72px;
    margin-left: 4px;
}

 .widget-inline-vbox .widget-readout {
    /* Vertical Readout */
    margin-top: 4px;
    /* as wide as the widget */
    width: inherit;
}

 /* Widget Checkbox Styling */

 .widget-checkbox {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-checkbox input[type="checkbox"] {
    margin: 0px 8px 0px 0px;
    line-height: 28px;
    font-size: large;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -ms-flex-item-align: center;
        align-self: center;
}

 /* Widget Valid Styling */

 .widget-valid {
    height: 28px;
    line-height: 28px;
    width: 148px;
    font-size: 13px;
}

 .widget-valid i:before {
    line-height: 28px;
    margin-right: 4px;
    margin-left: 4px;

    /* from the fa class in FontAwesome: https://github.com/FortAwesome/Font-Awesome/blob/49100c7c3a7b58d50baa71efef11af41a66b03d3/css/font-awesome.css#L14 */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .widget-valid.mod-valid i:before {
    content: "\f00c";
    color: green;
}

 .widget-valid.mod-invalid i:before {
    content: "\f00d";
    color: red;
}

 .widget-valid.mod-valid .widget-valid-readout {
    display: none;
}

 /* Widget Text and TextArea Stying */

 .widget-textarea, .widget-text {
    width: 300px;
}

 .widget-text input[type="text"], .widget-text input[type="number"]{
    height: 28px;
    line-height: 28px;
}

 .widget-text input[type="text"]:disabled, .widget-text input[type="number"]:disabled, .widget-textarea textarea:disabled {
    opacity: 0.6;
}

 .widget-text input[type="text"], .widget-text input[type="number"], .widget-textarea textarea {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    outline: none !important;
}

 .widget-textarea textarea {
    height: inherit;
    width: inherit;
}

 .widget-text input:focus, .widget-textarea textarea:focus {
    border-color: #64B5F6;
}

 /* Widget Slider */

 .widget-slider .ui-slider {
    /* Slider Track */
    border: 1px solid #BDBDBD;
    background: #BDBDBD;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    position: relative;
    border-radius: 0px;
}

 .widget-slider .ui-slider .ui-slider-handle {
    /* Slider Handle */
    outline: none !important; /* focused slider handles are colored - see below */
    position: absolute;
    background-color: white;
    border: 1px solid #9E9E9E;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    z-index: 1;
    background-image: none; /* Override jquery-ui */
}

 /* Override jquery-ui */

 .widget-slider .ui-slider .ui-slider-handle:hover, .widget-slider .ui-slider .ui-slider-handle:focus {
    background-color: #2196F3;
    border: 1px solid #2196F3;
}

 .widget-slider .ui-slider .ui-slider-handle:active {
    background-color: #2196F3;
    border-color: #2196F3;
    z-index: 2;
    -webkit-transform: scale(1.2);
            transform: scale(1.2);
}

 .widget-slider  .ui-slider .ui-slider-range {
    /* Interval between the two specified value of a double slider */
    position: absolute;
    background: #2196F3;
    z-index: 0;
}

 /* Shapes of Slider Handles */

 .widget-hslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-top: -7px;
    margin-left: -7px;
    border-radius: 50%;
    top: 0;
}

 .widget-vslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-bottom: -7px;
    margin-left: -7px;
    border-radius: 50%;
    left: 0;
}

 .widget-hslider .ui-slider .ui-slider-range {
    height: 8px;
    margin-top: -3px;
}

 .widget-vslider .ui-slider .ui-slider-range {
    width: 8px;
    margin-left: -3px;
}

 /* Horizontal Slider */

 .widget-hslider {
    width: 300px;
    height: 28px;
    line-height: 28px;

    /* Override the align-items baseline. This way, the description and readout
    still seem to align their baseline properly, and we don't have to have
    align-self: stretch in the .slider-container. */
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widgets-slider .slider-container {
    overflow: visible;
}

 .widget-hslider .slider-container {
    height: 28px;
    margin-left: 6px;
    margin-right: 6px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
}

 .widget-hslider .ui-slider {
    /* Inner, invisible slide div */
    height: 4px;
    margin-top: 12px;
    width: 100%;
}

 /* Vertical Slider */

 .widget-vbox .widget-label {
    height: 28px;
    line-height: 28px;
}

 .widget-vslider {
    /* Vertical Slider */
    height: 200px;
    width: 72px;
}

 .widget-vslider .slider-container {
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 6px;
    margin-top: 6px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .widget-vslider .ui-slider-vertical {
    /* Inner, invisible slide div */
    width: 4px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-left: auto;
    margin-right: auto;
}

 /* Widget Progress Styling */

 .progress-bar {
    -webkit-transition: none;
    transition: none;
}

 .progress-bar {
    height: 28px;
}

 .progress-bar {
    background-color: #2196F3;
}

 .progress-bar-success {
    background-color: #4CAF50;
}

 .progress-bar-info {
    background-color: #00BCD4;
}

 .progress-bar-warning {
    background-color: #FF9800;
}

 .progress-bar-danger {
    background-color: #F44336;
}

 .progress {
    background-color: #EEEEEE;
    border: none;
    -webkit-box-shadow: none;
            box-shadow: none;
}

 /* Horisontal Progress */

 .widget-hprogress {
    /* Progress Bar */
    height: 28px;
    line-height: 28px;
    width: 300px;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;

}

 .widget-hprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-top: 4px;
    margin-bottom: 4px;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    /* Override bootstrap style */
    height: auto;
    height: initial;
}

 /* Vertical Progress */

 .widget-vprogress {
    height: 200px;
    width: 72px;
}

 .widget-vprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    width: 20px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 0;
}

 /* Select Widget Styling */

 .widget-dropdown {
    height: 28px;
    width: 300px;
    line-height: 28px;
}

 .widget-dropdown > select {
    padding-right: 20px;
    border: 1px solid #9E9E9E;
    border-radius: 0;
    height: inherit;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    outline: none !important;
    -webkit-box-shadow: none;
            box-shadow: none;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    vertical-align: top;
    padding-left: 8px;
	appearance: none;
	-webkit-appearance: none;
	-moz-appearance: none;
    background-repeat: no-repeat;
	background-size: 20px;
	background-position: right center;
    background-image: url("data:image/svg+xml;base64,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");
}

 .widget-dropdown > select:focus {
    border-color: #64B5F6;
}

 .widget-dropdown > select:disabled {
    opacity: 0.6;
}

 /* To disable the dotted border in Firefox around select controls.
   See http://stackoverflow.com/a/18853002 */

 .widget-dropdown > select:-moz-focusring {
    color: transparent;
    text-shadow: 0 0 0 #000;
}

 /* Select and SelectMultiple */

 .widget-select {
    width: 300px;
    line-height: 28px;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    -webkit-box-align: start;
        -ms-flex-align: start;
            align-items: flex-start;
}

 .widget-select > select {
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    outline: none !important;
    overflow: auto;
    height: inherit;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    padding-top: 5px;
}

 .widget-select > select:focus {
    border-color: #64B5F6;
}

 .wiget-select > select > option {
    padding-left: 4px;
    line-height: 28px;
    /* line-height doesn't work on some browsers for select options */
    padding-top: calc(28px - var(--jp-widgets-font-size) / 2);
    padding-bottom: calc(28px - var(--jp-widgets-font-size) / 2);
}

 /* Toggle Buttons Styling */

 .widget-toggle-buttons {
    line-height: 28px;
}

 .widget-toggle-buttons .widget-toggle-button {
    margin-left: 2px;
    margin-right: 2px;
}

 .widget-toggle-buttons .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Radio Buttons Styling */

 .widget-radio {
    width: 300px;
    line-height: 28px;
}

 .widget-radio-box {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-bottom: 8px;
}

 .widget-radio-box label {
    height: 20px;
    line-height: 20px;
    font-size: 13px;
}

 .widget-radio-box input {
    height: 20px;
    line-height: 20px;
    margin: 0 8px 0 1px;
    float: left;
}

 /* Color Picker Styling */

 .widget-colorpicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-colorpicker > .widget-colorpicker-input {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 72px;
}

 .widget-colorpicker input[type="color"] {
    width: 28px;
    height: 28px;
    padding: 0 2px; /* make the color square actually square on Chrome on OS X */
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    border-left: none;
    -webkit-box-flex: 0;
        -ms-flex-positive: 0;
            flex-grow: 0;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    outline: none !important;
}

 .widget-colorpicker.concise input[type="color"] {
    border-left: 1px solid #9E9E9E;
}

 .widget-colorpicker input[type="color"]:focus, .widget-colorpicker input[type="text"]:focus {
    border-color: #64B5F6;
}

 .widget-colorpicker input[type="text"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    outline: none !important;
    height: 28px;
    line-height: 28px;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    font-size: 13px;
    padding: 4px 8px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-colorpicker input[type="text"]:disabled {
    opacity: 0.6;
}

 /* Date Picker Styling */

 .widget-datepicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-datepicker input[type="date"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    outline: none !important;
    height: 28px;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-datepicker input[type="date"]:focus {
    border-color: #64B5F6;
}

 .widget-datepicker input[type="date"]:invalid {
    border-color: #FF9800;
}

 .widget-datepicker input[type="date"]:disabled {
    opacity: 0.6;
}

 /* Play Widget */

 .widget-play {
    width: 148px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .widget-play .jupyter-button {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    height: auto;
}

 .widget-play .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Tab Widget */

 .jupyter-widgets.widget-tab {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    /* Necessary so that a tab can be shifted down to overlay the border of the box below. */
    overflow-x: visible;
    overflow-y: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
    /* Make sure that the tab grows from bottom up */
    -webkit-box-align: end;
        -ms-flex-align: end;
            align-items: flex-end;
    min-width: 0;
    min-height: 0;
}

 .jupyter-widgets.widget-tab > .widget-tab-contents {
    width: 100%;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    margin: 0;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    padding: 15px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    overflow: auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    font: 13px Helvetica, Arial, sans-serif;
    min-height: 25px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
    -webkit-box-flex: 0;
        -ms-flex: 0 1 144px;
            flex: 0 1 144px;
    min-width: 35px;
    min-height: 25px;
    line-height: 24px;
    margin-left: -1px;
    padding: 0px 10px;
    background: #EEEEEE;
    color: rgba(0, 0, 0, .5);
    border: 1px solid #9E9E9E;
    border-bottom: none;
    position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current {
    color: rgba(0, 0, 0, 1.0);
    /* We want the background to match the tab content background */
    background: white;
    min-height: 26px;
    -webkit-transform: translateY(1px);
            transform: translateY(1px);
    overflow: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current:before {
    position: absolute;
    top: -1px;
    left: -1px;
    content: '';
    height: 2px;
    width: calc(100% + 2px);
    background: #2196F3;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:first-child {
    margin-left: 0;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:hover:not(.p-mod-current) {
    background: white;
    color: rgba(0, 0, 0, .8);
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon {
    margin-left: 4px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon:before {
    font-family: FontAwesome;
    content: '\f00d'; /* close */
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
    line-height: 24px;
}

 /* Accordion Widget */

 .p-Collapse {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Collapse-header {
    padding: 4px;
    cursor: pointer;
    color: rgba(0, 0, 0, .5);
    background-color: #EEEEEE;
    border: 1px solid #9E9E9E;
    padding: 10px 15px;
    font-weight: bold;
}

 .p-Collapse-header:hover {
    background-color: white;
    color: rgba(0, 0, 0, .8);
}

 .p-Collapse-open > .p-Collapse-header {
    background-color: white;
    color: rgba(0, 0, 0, 1.0);
    cursor: default;
    border-bottom: none;
}

 .p-Collapse .p-Collapse-header::before {
    content: '\f0da\00A0';  /* caret-right, non-breaking space */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .p-Collapse-open > .p-Collapse-header::before {
    content: '\f0d7\00A0'; /* caret-down, non-breaking space */
}

 .p-Collapse-contents {
    padding: 15px;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    border-left: 1px solid #9E9E9E;
    border-right: 1px solid #9E9E9E;
    border-bottom: 1px solid #9E9E9E;
    overflow: auto;
}

 .p-Accordion {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Accordion .p-Collapse {
    margin-bottom: 0;
}

 .p-Accordion .p-Collapse + .p-Collapse {
    margin-top: 4px;
}

 /* HTML widget */

 .widget-html, .widget-htmlmath {
    font-size: 13px;
}

 .widget-html > .widget-html-content, .widget-htmlmath > .widget-html-content {
    /* Fill out the area in the HTML widget */
    -ms-flex-item-align: stretch;
        align-self: stretch;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    /* Makes sure the baseline is still aligned with other elements */
    line-height: 28px;
    /* Make it possible to have absolutely-positioned elements in the html */
    position: relative;
}

/*# 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 */",
       "headers": [
        [
         "content-type",
         "text/css"
        ]
       ],
       "ok": true,
       "status": 200,
       "status_text": "OK"
      }
     }
    },
    "colab_type": "code",
    "id": "szJVqgwzd1uS",
    "outputId": "e703e608-787a-4b3c-e807-e8ee72bcd0a8"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b1f73379003643fb89e5441392abd915",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=10000), HTML(value='')))"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "generated_wav = mu_law_encode(init_wav, mu)\n",
    "generated_wav = tf.cast(tf.reshape(generated_wav, (1,-1,1)), tf.float32).numpy()\n",
    "\n",
    "time_steps = tqdm_notebook(range(10000))\n",
    "for i in time_steps:\n",
    "  sample = generated_wav[:, -int(sec*sample_rate):, :].astype('float32')\n",
    "  next_sample_logit = wavenet_model(sample)\n",
    "  next_sample_prob = tf.nn.softmax(next_sample_logit)\n",
    "  dist = tf.distributions.Categorical(probs=next_sample_prob)\n",
    "  next_sample = dist.sample()\n",
    "  next_sample = np.expand_dims(next_sample, -1)\n",
    "  generated_wav = np.concatenate([generated_wav, next_sample[:, -1:,:]], axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 558
    },
    "colab_type": "code",
    "id": "PSY8W6dmzIMK",
    "outputId": "44b48093-0c6b-414e-a0f9-5d36ac010c0d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fac94bfb4a8>]"
      ]
     },
     "execution_count": 46,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZYQ9Py7ErjSqjZjia9dVfaWR+iZxKIme9b9m33r9swqCob3ib/zjmezIVSLF4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\nRERERERERAkYNCIiIiIiIiIiogT/H/NvTUjkX/WkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[20, 9])\n",
    "ax1 = plt.subplot(311)\n",
    "plt.plot(init_wav)\n",
    "\n",
    "ax2 = plt.subplot(312, sharex=ax1)\n",
    "plt.plot(mu_law_decode(np.squeeze(generated_wav), mu).numpy())\n",
    "\n",
    "ax2 = plt.subplot(313, sharex=ax1)\n",
    "plt.plot(wav[:len(np.squeeze(generated_wav))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 75
    },
    "colab_type": "code",
    "id": "qJeDMw5wgTyu",
    "outputId": "bb1fbfa6-8969-4932-8a63-16fcef8cb512"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source 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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 42,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fianl_wav = mu_law_decode(np.squeeze(generated_wav), 256)\n",
    "\n",
    "import IPython.display as ipd\n",
    "ipd.Audio(fianl_wav, rate=sample_rate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "ex9iGDL68XCC"
   },
   "source": [
    "colab에서 짧은 시간동안 학습을 진행한 것만으로는 제대로된 음원을 얻기 힘들다. 별도의 장비에서 장시간 학습시켜 loss값을 1 정도까지 떨어뜨렸을 때의 결과는 아래 그림과 같다. 파형은 그럴듯해 보이지만 여전히 듣기에 자연스러운 음질을 얻을 수는 없었다. 한 개의 wav 파일이 아니라 전체 데이터셋을 이용해서 더 오랜 시간 학습을 진행해야 할 것 같다. \n",
    "![wave](images/WaveNet.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "include_colab_link": true,
   "name": "WaveNet.ipynb의 사본",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
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