Spaces:
Runtime error
Runtime error
File size: 3,279 Bytes
bb0cc49 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 |
{
"cells": [
{
"cell_type": "markdown",
"id": "6a682b61",
"metadata": {},
"source": [
"# Benchmarking small models on CPU\n",
" - We can enable small models with the `SUNO_USE_SMALL_MODELS` environment variable"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "9500dd93",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"\"\n",
"os.environ[\"SUNO_USE_SMALL_MODELS\"] = \"1\"\n",
"\n",
"from IPython.display import Audio\n",
"import numpy as np\n",
"\n",
"from bark import generate_audio, preload_models, SAMPLE_RATE\n",
"\n",
"import time"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4e3454b6",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"No GPU being used. Careful, inference might be very slow!\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 5.52 s, sys: 2.34 s, total: 7.86 s\n",
"Wall time: 4.33 s\n"
]
}
],
"source": [
"%%time\n",
"preload_models()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "f6024e5f",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|████████████████████████████████████████████████████████| 100/100 [00:10<00:00, 9.89it/s]\n",
"100%|██████████████████████████████████████████████████████████| 15/15 [00:43<00:00, 2.90s/it]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"took 62s to generate 6s of audio\n"
]
}
],
"source": [
"t0 = time.time()\n",
"text = \"In the light of the moon, a little egg lay on a leaf\"\n",
"audio_array = generate_audio(text)\n",
"generation_duration_s = time.time() - t0\n",
"audio_duration_s = audio_array.shape[0] / SAMPLE_RATE\n",
"\n",
"print(f\"took {generation_duration_s:.0f}s to generate {audio_duration_s:.0f}s of audio\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "2dcce86c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.cpu_count()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3046eddb",
"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": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|