{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "24322972",
   "metadata": {},
   "source": [
    "# Validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "be3d42a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "aef9d75f",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1b79e6ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "from suno_utils.audio import Audio\n",
    "from suno_utils.tasks.mert_25 import preload_models, encode\n",
    "\n",
    "_ = preload_models(checkpoint_filepath=\"/mnt/data/georg/tmp/mert_test_8x_400k.pt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e37f87de",
   "metadata": {},
   "outputs": [],
   "source": [
    "audio = Audio.from_file(\"../samples/covid.wav\").get_segment(to_s=10.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f06559a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "out = encode(audio, do_clustering=False)\n",
    "out2 = encode(audio.get_segment(to_s=5.01), do_clustering=False)\n",
    "out3 = encode(audio.get_segment(from_s=1, to_s=6.01), do_clustering=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0e55f806",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f139c580c70>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(out.mean(-1))\n",
    "plt.plot(out2.mean(-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a3e8e3a0",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f139c5eeef0>]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(out.mean(-1)[25:25+125])\n",
    "plt.plot(out3.mean(-1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce900c11",
   "metadata": {},
   "source": [
    "## Clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bae5870a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"5\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6e588f40",
   "metadata": {},
   "outputs": [],
   "source": [
    "import gc\n",
    "import os\n",
    "import tempfile\n",
    "import time\n",
    "import random\n",
    "\n",
    "import funcy\n",
    "import numpy as np\n",
    "import tqdm\n",
    "import torch\n",
    "\n",
    "from suno_utils.tasks.data_loader import load_audio_mp\n",
    "from suno_utils.tasks.mert_25 import (\n",
    "    SAMPLE_RATE,\n",
    "    EMBEDDING_RATE,\n",
    "    encode,\n",
    "    encode_files,\n",
    "    preload_models,\n",
    ")\n",
    "from suno_utils.utils.s3 import read_from_s3, download_s3_files, upload_s3_files, check_s3_file_exists\n",
    "from suno_utils.utils.text import write_jsonl, read_jsonl, get_file_ext\n",
    "\n",
    "_ = preload_models(checkpoint_filepath=\"/mnt/data/georg/tmp/mert_test_8x_400k.pt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51949a6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "p_read_jsonl = funcy.partial(read_jsonl, allowed_keys=[\"s3_filepath\"])\n",
    "metas = read_from_s3(\"s3://suno-data/datasets/bundles/v2/music_sample/metas.jsonl\", read_f=p_read_jsonl)\n",
    "random.seed(6006)\n",
    "random.shuffle(metas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e0c74dd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load first minute of each file\n",
    "def _load_audio(filepaths, sample_rate, max_duration_per_file_s=None):\n",
    "    with tempfile.TemporaryDirectory() as tmp_dir:\n",
    "        t0 = time.time()\n",
    "        if filepaths[0][:2] == \"s3\":\n",
    "            # if filepaths are on s3 then load them to a temp dir first\n",
    "            tmp_out_filepaths = [\n",
    "                os.path.join(tmp_dir, f\"audio_{n}.{get_file_ext(filepath)}\")\n",
    "                for n, filepath in enumerate(filepaths)\n",
    "            ]\n",
    "            print(\"  downloading audio...\")\n",
    "            confirmed_downloads = download_s3_files(\n",
    "                filepaths,\n",
    "                tmp_out_filepaths,\n",
    "                chunksize=100,\n",
    "                n_cores=16,\n",
    "                joblib_backend=\"threads\",\n",
    "                silent=True,\n",
    "            )\n",
    "            time.sleep(5) # make sure things close\n",
    "            local_filepath = [\n",
    "                filepath if b_confirmed else None\n",
    "                for b_confirmed, filepath in zip(confirmed_downloads, tmp_out_filepaths)\n",
    "            ]\n",
    "        else:\n",
    "            local_filepath = filepaths\n",
    "        download_duration_s = round(time.time() - t0, 1)\n",
    "        # remove Nones\n",
    "        safe_orig_idx, safe_filepaths = zip(*[\n",
    "            (idx, fp) for idx, fp in enumerate(local_filepath) if fp is not None\n",
    "        ])\n",
    "        print(\"  loading audio...\")\n",
    "        t0 = time.time()\n",
    "        audio_arrays = load_audio_mp(\n",
    "            safe_filepaths,\n",
    "            target_sample_rate=sample_rate,\n",
    "            max_duration_s=max_duration_per_file_s,\n",
    "            num_workers=32,\n",
    "            force_threads=True,\n",
    "        )\n",
    "        load_duration_s = round(time.time() - t0, 1)\n",
    "        # merge back into None list\n",
    "        out_audio_arrays = [None]*len(filepaths)\n",
    "        for idx, arr in zip(safe_orig_idx, audio_arrays):\n",
    "            out_audio_arrays[idx] = arr\n",
    "        assert(len(filepaths) == len(out_audio_arrays))\n",
    "        if len(filepaths) >= 10:\n",
    "            assert(np.mean([arr is not None for arr in out_audio_arrays]) >= 0.5)\n",
    "    return download_duration_s, load_duration_s, out_audio_arrays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb78c40a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  downloading audio...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "audio needs conversion, will be slow without using joblib\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  loading audio...\n",
      "  embedding audio...\n"
     ]
    }
   ],
   "source": [
    "chunksize = 250\n",
    "tot_steps = 20\n",
    "train_data = []\n",
    "val_data = []\n",
    "for n in range(tot_steps):\n",
    "    filepaths = [\n",
    "        fp \n",
    "        for m in metas[-(n+1)*chunksize:len(metas)-n*chunksize]\n",
    "        if (fp:=m.get(\"s3_filepath\", m.get(\"audio_filepath\", m.get(\"filepath\")))) is not None\n",
    "    ]\n",
    "    download_duration_s, load_duration_s, audio_arrays = _load_audio(\n",
    "        filepaths, \n",
    "        SAMPLE_RATE,\n",
    "        max_duration_per_file_s=8*60,\n",
    "    )\n",
    "    t0 = time.time()\n",
    "    print(\"  embedding audio...\")\n",
    "    encoded_arrays = encode(audio_arrays, do_clustering=False)\n",
    "    # transpose\n",
    "    encoded_arrays = [arr.T for arr in encoded_arrays]\n",
    "    timing_encode_s = round(time.time() - t0, 1)\n",
    "    n_hours_processed = round(np.sum([arr.shape[0] / EMBEDDING_RATE for arr in encoded_arrays]) / 60 / 60, 1)\n",
    "    # subsample audio array for better diversity\n",
    "    stacked_arr = np.concatenate(encoded_arrays, axis=0)\n",
    "    idx_list = list(range(stacked_arr.shape[0]))\n",
    "    random.shuffle(idx_list)\n",
    "    keep_idx = np.array(idx_list[:int(stacked_arr.shape[0]/tot_steps)])\n",
    "    stacked_arr = stacked_arr[keep_idx,:]\n",
    "    if n == tot_steps - 1:\n",
    "        val_data.append(stacked_arr)\n",
    "    else:\n",
    "        train_data.append(stacked_arr)\n",
    "    print(\n",
    "        f\" {n+1}/{tot_steps}: {download_duration_s}s downloading, {load_duration_s}s loading,\"\n",
    "        f\" {timing_encode_s}s encoding -- {n_hours_processed}h processed\"\n",
    "    )\n",
    "    break\n",
    "#  1/20: 25.0s downloading, 4.5s loading, 61.6s encoding -- 13.0h processed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67b92052",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: why is the above ~2x slower than before? torch version?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "cb95ea16",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save(\"/home/georg/notebooks/gpt/data/mert_v2_25hz_val\", np.concatenate(val_data, axis=0).astype(np.float32))\n",
    "np.save(\"/home/georg/notebooks/gpt/data/mert_v2_25hz_tr\", np.concatenate(train_data, axis=0).astype(np.float32))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d758e1d8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bf5b9626",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "29942363",
   "metadata": {},
   "source": [
    "## Faiss clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b76ae3f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# conda activate faiss\n",
    "# ipython"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aedeebae",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"5\"\n",
    "\n",
    "import numpy as np\n",
    "import faiss\n",
    "from sklearn.metrics.pairwise import paired_distances\n",
    "\n",
    "X_arr = np.load(\"/home/georg/notebooks/gpt/data/mert_v2_25hz_tr.npy\")\n",
    "y_arr = np.load(\"/home/georg/notebooks/gpt/data/mert_v2_25hz_val.npy\")[::5]\n",
    "\n",
    "print(X_arr.shape)\n",
    "print(y_arr.shape)\n",
    "# (1144610, 768)\n",
    "#   (12299, 768)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e8492b0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# X_arr = X_arr.reshape(X_arr.shape[0], 3, -1).mean(1)\n",
    "# y_arr = y_arr.reshape(y_arr.shape[0], 3, -1).mean(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a21d1807",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_codebooks = 2\n",
    "n_clusters = 10_000\n",
    "\n",
    "X_arr_resid = X_arr.copy()\n",
    "y_arr_resid = y_arr.copy()\n",
    "y_preds_prev = np.zeros(y_arr.shape)\n",
    "centroids_list = []\n",
    "models_list = []\n",
    "for n_codebook in range(n_codebooks):\n",
    "    print(f\"calculating codebook {n_codebook}...\")\n",
    "    faiss_model = faiss.Kmeans(\n",
    "        d=X_arr_resid.shape[1], \n",
    "        k=n_clusters, \n",
    "        niter=25, \n",
    "        nredo=1, \n",
    "        seed=n_codebook,\n",
    "        verbose=True, \n",
    "        gpu=True\n",
    "    )\n",
    "    faiss_model.train(X_arr_resid)\n",
    "    # score preds\n",
    "    y_cluster_preds = faiss_model.index.search(y_arr_resid, 1)[1].squeeze()\n",
    "    y_preds = faiss_model.centroids[y_cluster_preds]\n",
    "    y_arr_resid -= y_preds\n",
    "    y_preds_prev += y_preds\n",
    "    print(\" score:\", round(np.mean(paired_distances(y_arr, y_preds_prev)), 3))\n",
    "    # start stuff for next round\n",
    "    X_cluster_preds = faiss_model.index.search(X_arr_resid, 1)[1].squeeze()\n",
    "    X_preds = faiss_model.centroids[X_cluster_preds]\n",
    "    X_arr_resid -= X_preds\n",
    "    centroids_list.append(faiss_model.centroids)\n",
    "    models_list.append(faiss_model)\n",
    "    print(\"-\"*10)\n",
    "codebooked_centroids = np.stack(centroids_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a435caad",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Codebooks 2x 1k:\n",
    "#   score: 5.953\n",
    "#   score: 5.745\n",
    "\n",
    "#   score: 12.57\n",
    "#   score: 12.20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b92374cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# save cluster centers\n",
    "# np.save(\"/home/georg/notebooks/gpt/data/cluster_centers/mert_v2_25hz_1x10k\", codebooked_centroids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2564eea1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upload: ../gpt/data/cluster_centers/mert_v2_25hz_1x10k.npy to s3://suno-data/georg/tmp/mert_v2_25hz_1x10k.npy\n"
     ]
    }
   ],
   "source": [
    "!aws s3 cp /home/georg/notebooks/gpt/data/cluster_centers/mert_v2_25hz_1x10k.npy s3://suno-data/georg/tmp/mert_v2_25hz_1x10k.npy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "507e4272",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c517acd6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e2cf7999",
   "metadata": {},
   "source": [
    "### embed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c9a3df44",
   "metadata": {},
   "outputs": [],
   "source": [
    "modal run ~/code/glockenspiel/suno_utils/suno_utils/scripts/gpt/modal_encode.py \\\n",
    "    --embed-type 'mert' \\\n",
    "    --data-type 'music_sample' \\\n",
    "    --version 'v2' \\\n",
    "    --chunksize '500' \\\n",
    "    --min-duration-s '30' \\\n",
    "    --max-duration-s '800' \\\n",
    "    --output-name 'mert_v2_25hz_2x1k'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50fc5e07",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cb5fbf08",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee5d4f12",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40e335f6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d092649",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a296a4ca",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54c66630",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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