{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "89a99008",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "511f5b52",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ['CUDA_VISIBLE_DEVICES'] = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "025c59a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import librosa\n",
    "from scipy.io import wavfile\n",
    "import librosa.display\n",
    "from pydub import AudioSegment\n",
    "from IPython.display import display_html\n",
    "import torch\n",
    "\n",
    "\n",
    "def _convert_array(arr, force_int=False, force_float=False):\n",
    "    if isinstance(arr, torch.Tensor):\n",
    "        arr = arr.cpu().detach().numpy()\n",
    "    assert(len(arr.shape) in (1, 2))\n",
    "    if len(arr.shape) == 2:\n",
    "        assert(arr.shape[0] == 1)\n",
    "        arr = arr[0]\n",
    "    if force_int and \"float\" in str(arr.dtype):\n",
    "        arr = np.floor(arr.copy() * 32768).astype(np.int16)\n",
    "    if force_float and \"int\" in str(arr.dtype):\n",
    "        arr = arr.copy().astype(np.float32) / 32768\n",
    "    return arr\n",
    "\n",
    "\n",
    "def plot_ft(arr, window_size=1024, hop_length=512, n_mels=128, sr=22050):\n",
    "    arr = _convert_array(arr, force_float=True)\n",
    "    window = np.hanning(window_size)\n",
    "    stft= librosa.core.spectrum.stft(arr, n_fft=window_size, hop_length=hop_length, window=window)\n",
    "    out = 2 * np.abs(stft) / np.sum(window)\n",
    "    data = librosa.amplitude_to_db(out, ref=np.max)\n",
    "\n",
    "    plt.figure(figsize=(16, 10))\n",
    "    librosa.display.specshow(data, x_axis='time', y_axis='mel', sr=sr)\n",
    "    plt.set_cmap('afmhot')\n",
    "\n",
    "\n",
    "def play_array(arr, sr=22050):\n",
    "    arr = _convert_array(arr, force_int=True)\n",
    "    display_html(AudioSegment(\n",
    "        arr.tobytes(), \n",
    "        frame_rate=sr,\n",
    "        sample_width=2, \n",
    "        channels=1\n",
    "    ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4489deaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_DIR = \"/data-ssd-2/georg/data/spgispeech/\"\n",
    "\n",
    "train_df = pd.read_csv(DATA_DIR + \"spgispeech_train_spk.csv\", sep=\"|\")\n",
    "val_df = pd.read_csv(DATA_DIR + \"spgispeech_val_spk.csv\", sep=\"|\")\n",
    "\n",
    "# remove unknown speakers\n",
    "train_df = train_df.dropna().reset_index(drop=True)\n",
    "val_df = val_df.dropna().reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9c713690",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>wav_filename</th>\n",
       "      <th>wav_filesize</th>\n",
       "      <th>transcript</th>\n",
       "      <th>speaker_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>07a785e9237c389c1354bb60abca42d5/1.wav</td>\n",
       "      <td>271724</td>\n",
       "      <td>I have to say that I'm very encouraged by the ...</td>\n",
       "      <td>d450ba14465b17a4390b346d064151df</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>07a785e9237c389c1354bb60abca42d5/2.wav</td>\n",
       "      <td>201644</td>\n",
       "      <td>Our Fixed Income franchise continued to benefi...</td>\n",
       "      <td>d450ba14465b17a4390b346d064151df</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             wav_filename  wav_filesize  \\\n",
       "0  07a785e9237c389c1354bb60abca42d5/1.wav        271724   \n",
       "1  07a785e9237c389c1354bb60abca42d5/2.wav        201644   \n",
       "\n",
       "                                          transcript  \\\n",
       "0  I have to say that I'm very encouraged by the ...   \n",
       "1  Our Fixed Income franchise continued to benefi...   \n",
       "\n",
       "                         speaker_id  \n",
       "0  d450ba14465b17a4390b346d064151df  \n",
       "1  d450ba14465b17a4390b346d064151df  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dbc1d32a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3af4cac66b62df492f5a8194b4069764    1362\n",
       "0b1e5b32ee2b58627764c81586df134a    1184\n",
       "65a2d9e25238c352dcfa3b65b416c9ff    1156\n",
       "712f59d115c3f9e9f7f4b8ebca1da8f4    1066\n",
       "6a7f210c6f837d254812f4c6d43bdeb2    1056\n",
       "Name: speaker_id, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ~3.5hours for most common speaker\n",
    "train_df[\"speaker_id\"].value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "14a0c4ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                    <audio controls>\n",
       "                        <source 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\" type=\"audio/mpeg\"/>\n",
       "                        Your browser does not support the audio element.\n",
       "                    </audio>\n",
       "                  "
      ],
      "text/plain": [
       "<pydub.audio_segment.AudioSegment at 0x7f59e4051310>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fn = train_df[train_df[\"speaker_id\"] == \"3af4cac66b62df492f5a8194b4069764\"].iloc[1]['wav_filename']\n",
    "AudioSegment.from_wav(DATA_DIR + \"train/\" + fn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df8111c9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "90f8e436",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d1488123",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5128fd6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d4ac85a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de36f5ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "6e84aea2",
   "metadata": {},
   "source": [
    "# Create formatted dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a8cbc0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/tts/datasets.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e425b073",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !mkdir /data-ssd-2/georg/data/spgi_mod/wavs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "63d7361f",
   "metadata": {},
   "outputs": [],
   "source": [
    "MOD_DATA_DIR = \"/data-ssd-2/georg/data/spgi_mod/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "3a06a63b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = train_df[train_df[\"speaker_id\"] == \"3af4cac66b62df492f5a8194b4069764\"]\n",
    "df = df.sample(frac=1.0, random_state=6006)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "d652e5cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_tr = int(df.shape[0] * 0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "1b409a10",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import sox\n",
    "import shutil\n",
    "\n",
    "from nemo.collections.common.parts.preprocessing import parsers\n",
    "\n",
    "\n",
    "text_parser = parsers.make_parser(name='en')\n",
    "\n",
    "with open(MOD_DATA_DIR + \"spgispeech_train.json\", 'w') as f:\n",
    "    for n in range(n_tr):\n",
    "        row = df.iloc[n]\n",
    "        name = row['wav_filename'][:-4].replace(\"/\", \"_\")\n",
    "        fp = DATA_DIR + \"train/\" + row['wav_filename']\n",
    "        nfp = MOD_DATA_DIR + \"wavs/\" + name + \".wav\"\n",
    "        text = text_parser._normalize(row['transcript'])\n",
    "        \n",
    "        # write wav file, and resample\n",
    "        transformer = sox.Transformer()\n",
    "        transformer.convert(samplerate=22050, n_channels=1, bitdepth=16)\n",
    "        transformer.build(fp, nfp)\n",
    "        \n",
    "        # write text file for feature extract\n",
    "        with open(MOD_DATA_DIR + \"wavs/\" + name + \".txt\", 'w') as ft:\n",
    "            ft.write(text)\n",
    "        \n",
    "        entry = {\n",
    "            'audio_filepath': nfp,\n",
    "            'duration': sox.file_info.duration(fp),\n",
    "            'text': text,\n",
    "        }\n",
    "        f.write(json.dumps(entry) + '\\n')\n",
    "        \n",
    "with open(MOD_DATA_DIR + \"spgispeech_val.json\", 'w') as f:\n",
    "    for n in range(n_tr, df.shape[0]):\n",
    "        row = df.iloc[n]\n",
    "        name = row['wav_filename'][:-4].replace(\"/\", \"_\")\n",
    "        fp = DATA_DIR + \"train/\" + row['wav_filename']\n",
    "        nfp = MOD_DATA_DIR + \"wavs/\" + name + \".wav\"\n",
    "        text = text_parser._normalize(row['transcript'])\n",
    "        \n",
    "        # write wav file, and resample\n",
    "        transformer = sox.Transformer()\n",
    "        transformer.convert(samplerate=22050, n_channels=1, bitdepth=16)\n",
    "        transformer.build(fp, nfp)\n",
    "        \n",
    "        # write text file for feature extract\n",
    "        with open(MOD_DATA_DIR + \"wavs/\" + name + \".txt\", 'w') as ft:\n",
    "            ft.write(text)\n",
    "        \n",
    "        entry = {\n",
    "            'audio_filepath': nfp,\n",
    "            'duration': sox.file_info.duration(fp),\n",
    "            'text': text,\n",
    "        }\n",
    "        f.write(json.dumps(entry) + '\\n')\n",
    "        \n",
    "print('done')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1e326362",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "dd93ebd1",
   "metadata": {},
   "source": [
    "# Extract Phoneme Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "27907dbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# use nemo script which uses conda and MFA\n",
    "\n",
    "# cd /data-ssd-2/georg/code/NeMo/scripts/dataset_processing/ljspeech\n",
    "# ./extract_ljspeech_phonemes_and_durs.sh /data-ssd-2/georg/data/spgi_mod"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6dfd8911",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d157e358",
   "metadata": {},
   "source": [
    "# Extract Energy/Pitch Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "e7c140ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "# create dirs if necessary\n",
    "target_dir = Path(MOD_DATA_DIR)\n",
    "if not Path(target_dir / \"energies\").exists():\n",
    "    Path(target_dir / \"energies\").mkdir()\n",
    "if not Path(target_dir / \"pitches\").exists():\n",
    "    Path(target_dir / \"pitches\").mkdir()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "9e0b7ea9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1362/1362 [28:18<00:00,  1.25s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished energy extraction for a total of 1362 wav files.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "import librosa\n",
    "import tqdm\n",
    "\n",
    "wavfile_dir = Path(MOD_DATA_DIR) / \"wavs\"\n",
    "wavfile_list = list(wavfile_dir.glob('*.wav'))\n",
    "wavfile_list = tqdm.tqdm(wavfile_list)\n",
    "for count, file_ in enumerate(wavfile_list):\n",
    "    basename = Path(file_).stem\n",
    "    pitch_path = target_dir / \"pitches\" / f\"{basename}.npy\"\n",
    "    energy_path = target_dir / \"energies\" / f\"{basename}.npy\"\n",
    "    if pitch_path.exists() and energy_path.exists():\n",
    "        continue\n",
    "    audio, sr = librosa.load(file_, sr=22050)\n",
    "\n",
    "    # Calculate f0\n",
    "    # Please note that fmin and fmax are good approximates for the speaker in LJSpeech and may not generalize to\n",
    "    # other speakers\n",
    "    # default recommended is ~65 Hz to ~2093 Hz\n",
    "    f0, _, _ = librosa.pyin(audio, fmin=60, fmax=800, frame_length=1024, sr=sr, fill_na=0.0)\n",
    "\n",
    "    # Save to new file\n",
    "    np.save(pitch_path, f0)\n",
    "\n",
    "    # Calculate energy\n",
    "    stft_amplitude = np.abs(librosa.stft(audio, n_fft=1024, hop_length=256, win_length=1024))\n",
    "    energy = np.linalg.norm(stft_amplitude, axis=0)  # axis=0 since librosa.stft -> (freq bins, frames)\n",
    "\n",
    "    # Save to new file\n",
    "    np.save(energy_path, energy)\n",
    "\n",
    "    assert energy.shape == f0.shape\n",
    "\n",
    "print(f\"Finished energy extraction for a total of {len(wavfile_list)} wav files.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a2993ff",
   "metadata": {},
   "source": [
    "### get mean and std for training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "d227302f",
   "metadata": {},
   "outputs": [],
   "source": [
    "pitch_list = []\n",
    "for p in (Path(MOD_DATA_DIR) / \"pitches\").glob('*.npy'):\n",
    "    pitch_list.append(np.load(p))\n",
    "pitch_s = pd.Series(np.hstack(pitch_list))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "0a5a6988",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f519b1e9b10>"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pitch_s.loc[lambda x: x>0].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "7d090933",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "131.5 - 35.6\n",
      "130.7 - 27.7\n"
     ]
    }
   ],
   "source": [
    "s = pitch_s.loc[lambda x: x>0]\n",
    "print(round(s.mean(), 1), \"-\", round(s.std(), 1))\n",
    "print(round(s.clip(upper=300).mean(), 1), \"-\", round(s.clip(upper=300).std(), 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3af8fccc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# model.pitch_avg=131.0 model.pitch_std=30.0 model.pitch_fmin=60 model.pitch_fmax=800"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "183f3dc1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e1c2e884",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "873a4f2b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "6358b30d",
   "metadata": {},
   "source": [
    "# Finetuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36130af6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://github.com/NVIDIA/NeMo/blob/main/tutorials/tts/FastPitch_Finetuning.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb36c60e",
   "metadata": {},
   "outputs": [],
   "source": [
    "docker run --gpus all \\\n",
    "\t-it \\\n",
    "\t-v /data-ssd-2/georg/code/NeMo:/NeMo \\\n",
    "\t-v /data-hdd-1:/data-hdd-1 \\\n",
    "\t-v /data-hdd-2:/data-hdd-2 \\\n",
    "\t-v /data-ssd-1:/data-ssd-1 \\\n",
    "\t-v /data-ssd-2:/data-ssd-2 \\\n",
    "\t-p 8339:8339 \\\n",
    "\t--shm-size=32g \\\n",
    "\t--ulimit memlock=-1 \\\n",
    "\t--ulimit stack=67108864 \\\n",
    "\tnvcr.io/nvidia/pytorch:21.11-py3\n",
    "\n",
    "# checkout head and run ./reinstall.sh\n",
    "\n",
    "# CUDA_VISIBLE_DEVICES=7 python /NeMo/examples/tts/fastpitch_finetune_custom.py \\\n",
    "CUDA_VISIBLE_DEVICES=4,5,6,7 python /NeMo/examples/tts/fastpitch_finetune.py \\\n",
    "    --config-path=/data-ssd-2/georg/models/tts_en_fastpitch/ \\\n",
    "    --config-name=custom_finetune \\\n",
    "    train_dataset=/data-ssd-2/georg/data/spgi_mod/spgispeech_train.json \\\n",
    "    validation_datasets=/data-ssd-2/georg/data/spgi_mod/spgispeech_val.json \\\n",
    "    model.pitch_avg=131.0 \\\n",
    "    model.pitch_std=30.0 \\\n",
    "    model.pitch_fmin=30 \\\n",
    "    model.pitch_fmax=512 \\\n",
    "    model.n_speakers=1 \\\n",
    "    ~model.optim.sched \\\n",
    "    model.optim.name=adam \\\n",
    "    trainer.max_epochs=1000 \\\n",
    "    trainer.check_val_every_n_epoch=10 \\\n",
    "    model.optim.lr=2e-4 \\\n",
    "    model.train_ds.dataloader_params.batch_size=24 \\\n",
    "    model.validation_ds.dataloader_params.batch_size=24 \\\n",
    "    exp_manager.exp_dir=/data-ssd-2/georg/tmp/stuff_ft \\\n",
    "    prior_folder=/data-ssd-2/georg/tmp/prior \\\n",
    "    +exp_manager.create_wandb_logger=True \\\n",
    "    +exp_manager.wandb_logger_kwargs.project=\"stuff_ft\" \\\n",
    "    +exp_manager.wandb_logger_kwargs.name=\"base_longer\"\n",
    "\n",
    "#     +init_from_nemo_model=/data-ssd-2/georg/models/tts_en_fastpitch.nemo \\"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e411221",
   "metadata": {},
   "outputs": [],
   "source": [
    "# learn alignment and don't fully load the checkpoint\n",
    "\n",
    "#     import torch\n",
    "#     from nemo.utils import logging\n",
    "#     old_model = FastPitchModel.from_pretrained(\"tts_en_fastpitch\")\n",
    "#     sd = old_model.fastpitch.state_dict()\n",
    "#     sd['encoder.word_emb.weight'] = torch.randn((115, 384)) / 10\n",
    "#     model.fastpitch.load_state_dict(sd)\n",
    "#     del old_model, sd\n",
    "#     logging.info(\"custom model loaded\")\n",
    "\n",
    "CUDA_VISIBLE_DEVICES=4,5,6,7 python /NeMo/examples/tts/custom_finetune_align.py \\\n",
    "CUDA_VISIBLE_DEVICES=7 python /NeMo/examples/tts/custom_finetune_align.py \\\n",
    "    --config-path=/data-ssd-2/georg/models/tts_en_fastpitch/ \\\n",
    "    --config-name=custom_finetune_align \\\n",
    "    train_dataset=/data-ssd-2/georg/data/spgi_mod/spgispeech_train.json \\\n",
    "    validation_datasets=/data-ssd-2/georg/data/spgi_mod/spgispeech_val.json \\\n",
    "    model.pitch_avg=131.0 \\\n",
    "    model.pitch_std=30.0 \\\n",
    "    model.pitch_fmin=30 \\\n",
    "    model.pitch_fmax=512 \\\n",
    "    model.n_speakers=1 \\\n",
    "    ~model.optim.sched \\\n",
    "    model.optim.name=adam \\\n",
    "    trainer.max_epochs=1000 \\\n",
    "    trainer.check_val_every_n_epoch=10 \\\n",
    "    model.optim.lr=2e-4 \\\n",
    "    model.train_ds.dataloader_params.batch_size=24 \\\n",
    "    model.validation_ds.dataloader_params.batch_size=24 \\\n",
    "    exp_manager.exp_dir=/data-ssd-2/georg/tmp/stuff_ft \\\n",
    "    prior_folder=/data-ssd-2/georg/tmp/prior \\\n",
    "    +exp_manager.create_wandb_logger=True \\\n",
    "    +exp_manager.wandb_logger_kwargs.project=\"stuff_ft\" \\\n",
    "    +exp_manager.wandb_logger_kwargs.name=\"tmp\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ca9ba70",
   "metadata": {},
   "outputs": [],
   "source": [
    "# why combined loss for train higher but individual lower?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61f4055b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: train ljspeech and blizzard from scratch and finetune (to see if all is kosher)\n",
    "# TODO: test HiFiGan with oracle spectrogram\n",
    "# TODO: finetune HiFiGan as well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8277fa3c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1da8845b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a70a6ace",
   "metadata": {},
   "source": [
    "# Test checkpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a1d6ead6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NeMo W 2021-12-03 13:53:16 optimizers:47] Apex was not found. Using the lamb optimizer will error out.\n",
      "################################################################################\n",
      "### WARNING, path does not exist: KALDI_ROOT=/mnt/matylda5/iveselyk/Tools/kaldi-trunk\n",
      "###          (please add 'export KALDI_ROOT=<your_path>' in your $HOME/.profile)\n",
      "###          (or run as: KALDI_ROOT=<your_path> python <your_script>.py)\n",
      "################################################################################\n",
      "\n",
      "[NeMo W 2021-12-03 13:53:17 experimental:28] Module <class 'nemo.collections.asr.data.audio_to_text_dali._AudioTextDALIDataset'> is experimental, not ready for production and is not fully supported. Use at your own risk.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[NeMo I 2021-12-03 13:53:17 cloud:56] Found existing object /home/georg/.cache/torch/NeMo/NeMo_1.4.0/tts_hifigan/e6da322f0f7e7dcf3f1900a9229a7e69/tts_hifigan.nemo.\n",
      "[NeMo I 2021-12-03 13:53:17 cloud:62] Re-using file from: /home/georg/.cache/torch/NeMo/NeMo_1.4.0/tts_hifigan/e6da322f0f7e7dcf3f1900a9229a7e69/tts_hifigan.nemo\n",
      "[NeMo I 2021-12-03 13:53:17 common:702] Instantiating model from pre-trained checkpoint\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NeMo W 2021-12-03 13:53:20 modelPT:131] If you intend to do training or fine-tuning, please call the ModelPT.setup_training_data() method and provide a valid configuration file to setup the train data loader.\n",
      "    Train config : \n",
      "    dataset:\n",
      "      _target_: nemo.collections.tts.data.datalayers.MelAudioDataset\n",
      "      manifest_filepath: /home/fkreuk/data/train_finetune.txt\n",
      "      min_duration: 0.75\n",
      "      n_segments: 8192\n",
      "    dataloader_params:\n",
      "      drop_last: false\n",
      "      shuffle: true\n",
      "      batch_size: 64\n",
      "      num_workers: 4\n",
      "    \n",
      "[NeMo W 2021-12-03 13:53:20 modelPT:138] If you intend to do validation, please call the ModelPT.setup_validation_data() or ModelPT.setup_multiple_validation_data() method and provide a valid configuration file to setup the validation data loader(s). \n",
      "    Validation config : \n",
      "    dataset:\n",
      "      _target_: nemo.collections.tts.data.datalayers.MelAudioDataset\n",
      "      manifest_filepath: /home/fkreuk/data/val_finetune.txt\n",
      "      min_duration: 3\n",
      "      n_segments: 66150\n",
      "    dataloader_params:\n",
      "      drop_last: false\n",
      "      shuffle: false\n",
      "      batch_size: 5\n",
      "      num_workers: 4\n",
      "    \n",
      "[NeMo W 2021-12-03 13:53:20 features:240] Using torch_stft is deprecated and will be removed in 1.1.0. Please set stft_conv and stft_exact_pad to False for FilterbankFeatures and AudioToMelSpectrogramPreprocessor. Please set exact_pad to True as needed.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[NeMo I 2021-12-03 13:53:20 features:262] PADDING: 0\n",
      "[NeMo I 2021-12-03 13:53:20 features:279] STFT using torch\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NeMo W 2021-12-03 13:53:20 features:240] Using torch_stft is deprecated and will be removed in 1.1.0. Please set stft_conv and stft_exact_pad to False for FilterbankFeatures and AudioToMelSpectrogramPreprocessor. Please set exact_pad to True as needed.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[NeMo I 2021-12-03 13:53:20 features:262] PADDING: 0\n",
      "[NeMo I 2021-12-03 13:53:20 features:279] STFT using torch\n",
      "[NeMo I 2021-12-03 13:53:21 save_restore_connector:143] Model HifiGanModel was successfully restored from /home/georg/.cache/torch/NeMo/NeMo_1.4.0/tts_hifigan/e6da322f0f7e7dcf3f1900a9229a7e69/tts_hifigan.nemo.\n"
     ]
    }
   ],
   "source": [
    "from nemo.collections.tts.models import FastPitchModel\n",
    "from nemo.collections.tts.models import HifiGanModel\n",
    "\n",
    "vocoder = HifiGanModel.from_pretrained(model_name=\"tts_hifigan\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d5834ffc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NeMo W 2021-12-03 17:17:05 modelPT:131] If you intend to do training or fine-tuning, please call the ModelPT.setup_training_data() method and provide a valid configuration file to setup the train data loader.\n",
      "    Train config : \n",
      "    dataset:\n",
      "      _target_: nemo.collections.asr.data.audio_to_text.AudioToCharWithPriorAndPitchDataset\n",
      "      manifest_filepath: /data-ssd-2/georg/data/spgi_mod/spgispeech_train.json\n",
      "      max_duration: null\n",
      "      min_duration: 0.1\n",
      "      int_values: false\n",
      "      normalize: true\n",
      "      sample_rate: 22050\n",
      "      trim: false\n",
      "      sup_data_path: /data-ssd-2/georg/tmp/prior\n",
      "      n_window_stride: 256\n",
      "      n_window_size: 1024\n",
      "      pitch_fmin: 30\n",
      "      pitch_fmax: 512\n",
      "      pitch_avg: 131.0\n",
      "      pitch_std: 30.0\n",
      "      vocab:\n",
      "        notation: phonemes\n",
      "        punct: true\n",
      "        spaces: true\n",
      "        stresses: true\n",
      "        add_blank_at: None\n",
      "        pad_with_space: true\n",
      "        chars: true\n",
      "        improved_version_g2p: true\n",
      "    dataloader_params:\n",
      "      drop_last: false\n",
      "      shuffle: true\n",
      "      batch_size: 24\n",
      "      num_workers: 12\n",
      "    \n",
      "[NeMo W 2021-12-03 17:17:05 modelPT:138] If you intend to do validation, please call the ModelPT.setup_validation_data() or ModelPT.setup_multiple_validation_data() method and provide a valid configuration file to setup the validation data loader(s). \n",
      "    Validation config : \n",
      "    dataset:\n",
      "      _target_: nemo.collections.asr.data.audio_to_text.AudioToCharWithPriorAndPitchDataset\n",
      "      manifest_filepath: /data-ssd-2/georg/data/spgi_mod/spgispeech_val.json\n",
      "      max_duration: null\n",
      "      min_duration: null\n",
      "      int_values: false\n",
      "      normalize: true\n",
      "      sample_rate: 22050\n",
      "      trim: false\n",
      "      sup_data_path: /data-ssd-2/georg/tmp/prior\n",
      "      n_window_stride: 256\n",
      "      n_window_size: 1024\n",
      "      pitch_fmin: 30\n",
      "      pitch_fmax: 512\n",
      "      pitch_avg: 131.0\n",
      "      pitch_std: 30.0\n",
      "      vocab:\n",
      "        notation: phonemes\n",
      "        punct: true\n",
      "        spaces: true\n",
      "        stresses: true\n",
      "        add_blank_at: None\n",
      "        pad_with_space: true\n",
      "        chars: true\n",
      "        improved_version_g2p: true\n",
      "    dataloader_params:\n",
      "      drop_last: false\n",
      "      shuffle: false\n",
      "      batch_size: 24\n",
      "      num_workers: 8\n",
      "    \n",
      "[NeMo E 2021-12-03 17:17:05 vocabs:324] Torch distributed needs to be initialized before you initialized <nemo.collections.asr.data.vocabs.Phonemes object at 0x7f570c210d50>. This class is prone to data access race conditions. Now downloading corpora from global rank 0. If other ranks pass this before rank 0, errors might result.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[NeMo I 2021-12-03 17:17:07 features:262] PADDING: 1\n",
      "[NeMo I 2021-12-03 17:17:07 features:279] STFT using torch\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "FastPitchModel(\n",
       "  (mel_loss): MelLoss()\n",
       "  (pitch_loss): PitchLoss()\n",
       "  (duration_loss): DurationLoss()\n",
       "  (aligner): AlignmentEncoder(\n",
       "    (softmax): Softmax(dim=3)\n",
       "    (log_softmax): LogSoftmax(dim=3)\n",
       "    (key_proj): Sequential(\n",
       "      (0): ConvNorm(\n",
       "        (conv): Conv1d(384, 768, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "      )\n",
       "      (1): ReLU()\n",
       "      (2): ConvNorm(\n",
       "        (conv): Conv1d(768, 80, kernel_size=(1,), stride=(1,))\n",
       "      )\n",
       "    )\n",
       "    (query_proj): Sequential(\n",
       "      (0): ConvNorm(\n",
       "        (conv): Conv1d(80, 160, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "      )\n",
       "      (1): ReLU()\n",
       "      (2): ConvNorm(\n",
       "        (conv): Conv1d(160, 80, kernel_size=(1,), stride=(1,))\n",
       "      )\n",
       "      (3): ReLU()\n",
       "      (4): ConvNorm(\n",
       "        (conv): Conv1d(80, 80, kernel_size=(1,), stride=(1,))\n",
       "      )\n",
       "    )\n",
       "  )\n",
       "  (forward_sum_loss): ForwardSumLoss(\n",
       "    (log_softmax): LogSoftmax(dim=3)\n",
       "    (ctc_loss): CTCLoss()\n",
       "  )\n",
       "  (bin_loss): BinLoss()\n",
       "  (preprocessor): AudioToMelSpectrogramPreprocessor(\n",
       "    (featurizer): FilterbankFeatures()\n",
       "  )\n",
       "  (fastpitch): FastPitchModule(\n",
       "    (encoder): FFTransformerEncoder(\n",
       "      (pos_emb): PositionalEmbedding()\n",
       "      (drop): Dropout(p=0.0, inplace=False)\n",
       "      (layers): ModuleList(\n",
       "        (0): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (1): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (2): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (3): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (4): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (5): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "      )\n",
       "      (word_emb): Embedding(115, 384, padding_idx=112)\n",
       "    )\n",
       "    (decoder): FFTransformerDecoder(\n",
       "      (pos_emb): PositionalEmbedding()\n",
       "      (drop): Dropout(p=0.0, inplace=False)\n",
       "      (layers): ModuleList(\n",
       "        (0): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (1): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (2): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (3): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (4): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "        (5): TransformerLayer(\n",
       "          (dec_attn): MultiHeadAttn(\n",
       "            (qkv_net): Linear(in_features=384, out_features=192, bias=True)\n",
       "            (drop): Dropout(p=0.1, inplace=False)\n",
       "            (dropatt): Dropout(p=0.1, inplace=False)\n",
       "            (o_net): Linear(in_features=64, out_features=384, bias=False)\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "          (pos_ff): PositionwiseConvFF(\n",
       "            (CoreNet): Sequential(\n",
       "              (0): Conv1d(384, 1536, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (1): ReLU()\n",
       "              (2): Conv1d(1536, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "              (3): Dropout(p=0.1, inplace=False)\n",
       "            )\n",
       "            (layer_norm): LayerNorm((384,), eps=1e-05, elementwise_affine=True)\n",
       "          )\n",
       "        )\n",
       "      )\n",
       "    )\n",
       "    (duration_predictor): TemporalPredictor(\n",
       "      (layers): Sequential(\n",
       "        (0): ConvReLUNorm(\n",
       "          (conv): Conv1d(384, 256, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "          (norm): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
       "          (dropout): Dropout(p=0.1, inplace=False)\n",
       "        )\n",
       "        (1): ConvReLUNorm(\n",
       "          (conv): Conv1d(256, 256, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "          (norm): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
       "          (dropout): Dropout(p=0.1, inplace=False)\n",
       "        )\n",
       "      )\n",
       "      (fc): Linear(in_features=256, out_features=1, bias=True)\n",
       "    )\n",
       "    (pitch_predictor): TemporalPredictor(\n",
       "      (layers): Sequential(\n",
       "        (0): ConvReLUNorm(\n",
       "          (conv): Conv1d(384, 256, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "          (norm): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
       "          (dropout): Dropout(p=0.1, inplace=False)\n",
       "        )\n",
       "        (1): ConvReLUNorm(\n",
       "          (conv): Conv1d(256, 256, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "          (norm): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
       "          (dropout): Dropout(p=0.1, inplace=False)\n",
       "        )\n",
       "      )\n",
       "      (fc): Linear(in_features=256, out_features=1, bias=True)\n",
       "    )\n",
       "    (aligner): AlignmentEncoder(\n",
       "      (softmax): Softmax(dim=3)\n",
       "      (log_softmax): LogSoftmax(dim=3)\n",
       "      (key_proj): Sequential(\n",
       "        (0): ConvNorm(\n",
       "          (conv): Conv1d(384, 768, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "        )\n",
       "        (1): ReLU()\n",
       "        (2): ConvNorm(\n",
       "          (conv): Conv1d(768, 80, kernel_size=(1,), stride=(1,))\n",
       "        )\n",
       "      )\n",
       "      (query_proj): Sequential(\n",
       "        (0): ConvNorm(\n",
       "          (conv): Conv1d(80, 160, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "        )\n",
       "        (1): ReLU()\n",
       "        (2): ConvNorm(\n",
       "          (conv): Conv1d(160, 80, kernel_size=(1,), stride=(1,))\n",
       "        )\n",
       "        (3): ReLU()\n",
       "        (4): ConvNorm(\n",
       "          (conv): Conv1d(80, 80, kernel_size=(1,), stride=(1,))\n",
       "        )\n",
       "      )\n",
       "    )\n",
       "    (pitch_emb): Conv1d(1, 384, kernel_size=(3,), stride=(1,), padding=(1,))\n",
       "    (proj): Linear(in_features=384, out_features=80, bias=True)\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ckpt_dir = \"/data-ssd-2/georg/tmp/stuff_ft/FastPitch/2021-12-03_18-16-43/checkpoints/\"\n",
    "best_ckpt = ckpt_dir + \"FastPitch--v_loss=1.1588-epoch=659.ckpt\"\n",
    "new_model = FastPitchModel.load_from_checkpoint(best_ckpt)\n",
    "new_model.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "655b873e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict(sentence, pace=1.0, durs=None, pitch=None):\n",
    "    with torch.no_grad():\n",
    "        tokens = new_model.parse(sentence)\n",
    "        spec, _, durs_pred, _, pitch_pred, *_ = new_model(\n",
    "            text=tokens, durs=durs, pitch=pitch, speaker=None, pace=pace,\n",
    "        )\n",
    "        audio = vocoder.convert_spectrogram_to_audio(spec=spec).detach().to('cpu').numpy()\n",
    "    return audio#, spec, durs_pred, pitch_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "661bf648",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sentence = \"we're continuing to work with equipment manufacturers and operators around the world to enable their next-generation networks with our broad array of interconnect and antenna products.\"\n",
    "# sentence = \"has really put us in a strong position. and that strong position ultimately\"\n",
    "# sentence = \"with respect to the fourth quarter. certainly, our results in this quarter were stronger than expected as we exceeded the high end of our guidance in sales and earnings\"\n",
    "# sentence = \"and all along the way, clearly, to preserve operating performance else, we wouldn't be having the overall margins that we have in the company. and similarly, should there be an opportunity for upside,\"\n",
    "sentence = \"but we actually had very strong growth in the oil and gas market from those lower levels in the quarter. we saw continued strong growth in medical, which has been an excellent market for us now for a few years running.\"\n",
    "\n",
    "# sentence = \"we expect sales to increase from these levels as we capitalize on our broad technological strength across the many various segments of the worldwide industrial market.\"\n",
    "# sentence = \"have seemed to migrate more and more towards a more strategic imperative.\"\n",
    "# sentence = \"and in addition, it gives them a sense that they have ultimately what i've called before that one throat to choke,\"\n",
    "# sentence = \"yes, thank you very much, craig. no, i don't think we have any news to report on that. as we talked about last time, we would expect that the deal would close by the end of the year.\"\n",
    "# sentence = \"these are really just great confirmations of the company's discipline and financial strength.\"\n",
    "\n",
    "audio = predict(sentence)\n",
    "# plt.plot(audio.squeeze())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "25dfbaa6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "                    <audio controls>\n",
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\" type=\"audio/mpeg\"/>\n",
       "                        Your browser does not support the audio element.\n",
       "                    </audio>\n",
       "                  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "play_array(audio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "ccd4cf3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/9286be9531ce986ddbbf7d3f30136f19_16.wav\"\n",
    "# fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/261b46afa087a402ee3f1bd5e1fa4bf7_38.wav\"\n",
    "# fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/6f41839ec4aed9d9934ca01039c18878_9.wav\"\n",
    "# fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/2dca375cf908ee877d9f0100b7879b5c_220.wav\"\n",
    "fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/d5a08ea1419b52a0f8fa64a3ecfc5e1a_122.wav\"\n",
    "\n",
    "# fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/12d98031d2c8d360be8418c5a82c4ad8_72.wav\" \n",
    "# fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/2dca375cf908ee877d9f0100b7879b5c_20.wav\" \n",
    "# fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/803263a664147e501ad1556f99df570d_57.wav\" \n",
    "# fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/e1affbad93163ce2951e8f3da407cbf4_43.wav\" \n",
    "# fp = \"/data-ssd-2/georg/data/spgi_mod/wavs/6f41839ec4aed9d9934ca01039c18878_78.wav\"\n",
    "\n",
    "_, target_audio = wavfile.read(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "0e43107d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                    <audio controls>\n",
       "                        <source 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\" type=\"audio/mpeg\"/>\n",
       "                        Your browser does not support the audio element.\n",
       "                    </audio>\n",
       "                  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "play_array(target_audio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "b1e5d7d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_ft(target_audio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0930b280",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "134b0b01",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22c54413",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "4557d4de",
   "metadata": {},
   "source": [
    "# Playground"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2c632694",
   "metadata": {},
   "outputs": [],
   "source": [
    "import multiprocessing\n",
    "from pesq import pesq\n",
    "from pystoi import stoi\n",
    "\n",
    "def calc_metrics_raw(arr_ref, arr):\n",
    "    pesq_val = pesq(16000, arr_ref, arr, 'wb')\n",
    "    stoi_val = stoi(arr_ref, arr, 16000, extended=False)\n",
    "    return pesq_val, stoi_val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fd8b2235",
   "metadata": {},
   "outputs": [],
   "source": [
    "d = \"/data-ssd-2/georg/data/spgispeech/val/\"\n",
    "fnames = [d + fp for fp in df[\"wav_filename\"].values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ddcce016",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded  speechmetrics.absolute.mosnet\n",
      "Loaded  speechmetrics.absolute.srmr\n",
      "Loaded  speechmetrics.absolute.srmr\n"
     ]
    }
   ],
   "source": [
    "import speechmetrics\n",
    "\n",
    "window_length = 10 # seconds\n",
    "slow_metrics = speechmetrics.load('absolute', window_length)\n",
    "fast_metrics = speechmetrics.load(['srmr'], window_length)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8226bf1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# %%time\n",
    "# metrics = [slow_metrics(fp) for fp in fnames[:100]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "870b6581",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 67%|██████▋   | 26248/39341 [1:46:06<47:12,  4.62it/s]  IOPub message rate exceeded.\n",
      "The notebook server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--NotebookApp.iopub_msg_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "NotebookApp.iopub_msg_rate_limit=1000.0 (msgs/sec)\n",
      "NotebookApp.rate_limit_window=3.0 (secs)\n",
      "\n",
      "100%|██████████| 39341/39341 [2:39:08<00:00,  4.12it/s]\n"
     ]
    }
   ],
   "source": [
    "import tqdm\n",
    "\n",
    "metrics = []\n",
    "for fp in tqdm.tqdm(fnames):\n",
    "    metrics.append(slow_metrics(fp))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "90743299",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['mosnet'] = [e['mosnet'][0] for e in metrics]\n",
    "df['srmr'] = [e['srmr'][0] for e in metrics]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6774f766",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>wav_filename</th>\n",
       "      <th>wav_filesize</th>\n",
       "      <th>transcript</th>\n",
       "      <th>mosnet</th>\n",
       "      <th>srmr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25036</th>\n",
       "      <td>9f7dc62dbe80ba08b982936e1ca13f6c/208.wav</td>\n",
       "      <td>313964</td>\n",
       "      <td>And we see that in the terms of the deals we'v...</td>\n",
       "      <td>2.851592</td>\n",
       "      <td>0.752827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25064</th>\n",
       "      <td>9f7dc62dbe80ba08b982936e1ca13f6c/285.wav</td>\n",
       "      <td>169964</td>\n",
       "      <td>opportunities we have together to grow this pr...</td>\n",
       "      <td>2.858657</td>\n",
       "      <td>0.770723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25067</th>\n",
       "      <td>9f7dc62dbe80ba08b982936e1ca13f6c/300.wav</td>\n",
       "      <td>384044</td>\n",
       "      <td>the economy around the world and whether any o...</td>\n",
       "      <td>2.744815</td>\n",
       "      <td>0.801909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36904</th>\n",
       "      <td>a683f40be39761f8e66786d7c0b64134/241.wav</td>\n",
       "      <td>162284</td>\n",
       "      <td>in the coming year for these segments.</td>\n",
       "      <td>2.467073</td>\n",
       "      <td>0.818637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25068</th>\n",
       "      <td>9f7dc62dbe80ba08b982936e1ca13f6c/303.wav</td>\n",
       "      <td>451244</td>\n",
       "      <td>returns available in other real estate classes...</td>\n",
       "      <td>2.831599</td>\n",
       "      <td>0.852658</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   wav_filename  wav_filesize  \\\n",
       "25036  9f7dc62dbe80ba08b982936e1ca13f6c/208.wav        313964   \n",
       "25064  9f7dc62dbe80ba08b982936e1ca13f6c/285.wav        169964   \n",
       "25067  9f7dc62dbe80ba08b982936e1ca13f6c/300.wav        384044   \n",
       "36904  a683f40be39761f8e66786d7c0b64134/241.wav        162284   \n",
       "25068  9f7dc62dbe80ba08b982936e1ca13f6c/303.wav        451244   \n",
       "\n",
       "                                              transcript    mosnet      srmr  \n",
       "25036  And we see that in the terms of the deals we'v...  2.851592  0.752827  \n",
       "25064  opportunities we have together to grow this pr...  2.858657  0.770723  \n",
       "25067  the economy around the world and whether any o...  2.744815  0.801909  \n",
       "36904             in the coming year for these segments.  2.467073  0.818637  \n",
       "25068  returns available in other real estate classes...  2.831599  0.852658  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by=\"srmr\").head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "80190dc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>wav_filesize</th>\n",
       "      <th>transcript</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2925</th>\n",
       "      <td>fa45af64ef25007f998c655347bfbecb/264.wav</td>\n",
       "      <td>171884</td>\n",
       "      <td>in Europe, so half of the countries in Europe ...</td>\n",
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       "    <tr>\n",
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       "      <td>We disagree with this draft decision for a few...</td>\n",
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       "      <td>257324</td>\n",
       "      <td>Solid CET1 ratios with high quality with very ...</td>\n",
       "      <td>3.062624</td>\n",
       "      <td>23.428059</td>\n",
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       "    <tr>\n",
       "      <th>2949</th>\n",
       "      <td>fa45af64ef25007f998c655347bfbecb/439.wav</td>\n",
       "      <td>261164</td>\n",
       "      <td>forecast timing, we do not want to forecast wh...</td>\n",
       "      <td>3.080548</td>\n",
       "      <td>23.505193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2918</th>\n",
       "      <td>fa45af64ef25007f998c655347bfbecb/208.wav</td>\n",
       "      <td>175724</td>\n",
       "      <td>a big trough model we have today to an equal f...</td>\n",
       "      <td>2.974930</td>\n",
       "      <td>24.977342</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                   wav_filename  wav_filesize  \\\n",
       "2925   fa45af64ef25007f998c655347bfbecb/264.wav        171884   \n",
       "2962   fa45af64ef25007f998c655347bfbecb/473.wav        227564   \n",
       "37722   3f42280b77b93c90b893930aeb7eac53/74.wav        257324   \n",
       "2949   fa45af64ef25007f998c655347bfbecb/439.wav        261164   \n",
       "2918   fa45af64ef25007f998c655347bfbecb/208.wav        175724   \n",
       "\n",
       "                                              transcript    mosnet       srmr  \n",
       "2925   in Europe, so half of the countries in Europe ...  3.050555  22.071128  \n",
       "2962   We disagree with this draft decision for a few...  3.116088  23.228178  \n",
       "37722  Solid CET1 ratios with high quality with very ...  3.062624  23.428059  \n",
       "2949   forecast timing, we do not want to forecast wh...  3.080548  23.505193  \n",
       "2918   a big trough model we have today to an equal f...  2.974930  24.977342  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by=\"srmr\").tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d81b4ab3",
   "metadata": {},
   "outputs": [
    {
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\" type=\"audio/mpeg\"/>\n",
       "                        Your browser does not support the audio element.\n",
       "                    </audio>\n",
       "                  "
      ],
      "text/plain": [
       "<pydub.audio_segment.AudioSegment at 0x7f2b2c6e6d50>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "row = df.loc[25068]\n",
    "\n",
    "AudioSegment.from_wav(d + row[\"wav_filename\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53c509db",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ebd60a58",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69313665",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
