fx notebook

This commit is contained in:
adamnsandle
2020-12-15 13:11:11 +00:00
parent f9f8919623
commit fbbbf12497

View File

@@ -7,26 +7,42 @@
"# Jit example"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!pip install -q ipython # For jupyter audio display"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:54:25.940761Z",
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"start_time": "2020-12-15T13:09:54.241855Z"
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"source": [
"# imports\n",
"# dependencies\n",
"import glob\n",
"import torch\n",
"from IPython.display import Audio\n",
"torch.set_num_threads(1)\n",
"from IPython.display import Audio\n",
"\n",
"from utils import (init_jit_model, get_speech_ts,\n",
" save_audio, read_audio, \n",
" state_generator, single_audio_stream)"
"model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad',\n",
" model='silero_vad')\n",
"\n",
"\n",
"(get_speech_ts,\n",
" save_audio,\n",
" read_audio,\n",
" state_generator,\n",
" single_audio_stream,\n",
" collect_speeches) = utils"
]
},
{
@@ -41,40 +57,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:54:27.939388Z",
"start_time": "2020-12-15T11:54:27.936636Z"
}
},
"outputs": [],
"source": [
"def collect_speeches(tss, wav):\n",
" speech_chunks = []\n",
" for i in tss:\n",
" speech_chunks.append(wav[i['start']: i['end']])\n",
" return torch.cat(speech_chunks)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:54:28.415177Z",
"start_time": "2020-12-15T11:54:28.231677Z"
}
},
"outputs": [],
"source": [
"model = init_jit_model('files/model.jit', 'cpu')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:54:28.560822Z",
"start_time": "2020-12-15T11:54:28.549811Z"
"end_time": "2020-12-15T13:09:56.879818Z",
"start_time": "2020-12-15T13:09:56.864765Z"
}
},
"outputs": [],
@@ -87,8 +71,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:54:30.088721Z",
"start_time": "2020-12-15T11:54:29.019358Z"
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"start_time": "2020-12-15T13:09:57.139254Z"
}
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"outputs": [],
@@ -101,8 +85,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:54:30.198484Z",
"start_time": "2020-12-15T11:54:30.188311Z"
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"start_time": "2020-12-15T13:09:58.877327Z"
}
},
"outputs": [],
@@ -115,8 +99,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:54:30.816893Z",
"start_time": "2020-12-15T11:54:30.782667Z"
"end_time": "2020-12-15T13:09:58.941063Z",
"start_time": "2020-12-15T13:09:58.887006Z"
}
},
"outputs": [],
@@ -137,13 +121,12 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:54:31.886189Z",
"start_time": "2020-12-15T11:54:31.572194Z"
"end_time": "2020-12-15T13:09:59.199321Z",
"start_time": "2020-12-15T13:09:59.196823Z"
}
},
"outputs": [],
"source": [
"model = init_jit_model('files/model.jit', 'cpu')\n",
"wav = 'files/en.wav'"
]
},
@@ -152,15 +135,15 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:54:35.624279Z",
"start_time": "2020-12-15T11:54:32.049532Z"
"end_time": "2020-12-15T13:10:03.585644Z",
"start_time": "2020-12-15T13:09:59.429757Z"
}
},
"outputs": [],
"source": [
"for i in single_audio_stream(model, wav):\n",
" if i:\n",
" print(i)"
"for batch in single_audio_stream(model, wav):\n",
" if batch:\n",
" print(batch)"
]
},
{
@@ -175,22 +158,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:40:13.406225Z",
"start_time": "2020-12-15T11:40:13.206354Z"
}
},
"outputs": [],
"source": [
"model = init_jit_model('files/model.jit', 'cpu')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:41:08.470917Z",
"start_time": "2020-12-15T11:41:08.467369Z"
"end_time": "2020-12-15T13:10:03.590358Z",
"start_time": "2020-12-15T13:10:03.587071Z"
}
},
"outputs": [],
@@ -204,24 +173,17 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:41:25.685356Z",
"start_time": "2020-12-15T11:41:16.222672Z"
"end_time": "2020-12-15T13:10:15.762491Z",
"start_time": "2020-12-15T13:10:03.591388Z"
}
},
"outputs": [],
"source": [
"for i in state_generator(model, audios_for_stream, audios_in_stream=2): # 2 audio stream\n",
" if i:\n",
" print(i)"
"for batch in state_generator(model, audios_for_stream, audios_in_stream=2): # 2 audio stream\n",
" if batch:\n",
" print(batch)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
@@ -229,18 +191,28 @@
"# Onnx example"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!pip install -q ipython # For jupyter audio display\n",
"!pip install -q onnxruntime"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:55:45.597504Z",
"start_time": "2020-12-15T11:55:45.582356Z"
"end_time": "2020-12-15T13:09:05.932256Z",
"start_time": "2020-12-15T13:09:05.043659Z"
}
},
"outputs": [],
"source": [
"# imports\n",
"# dependencies\n",
"import glob\n",
"import torch\n",
"from IPython.display import Audio\n",
@@ -248,7 +220,7 @@
"import onnxruntime\n",
"\n",
"from utils import (get_speech_ts, save_audio, read_audio, \n",
" state_generator, single_audio_stream)\n",
" state_generator, single_audio_stream, collect_speeches)\n",
"\n",
"def init_onnx_model(model_path: str):\n",
" return onnxruntime.InferenceSession(model_path)\n",
@@ -273,8 +245,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:55:56.874376Z",
"start_time": "2020-12-15T11:55:56.782230Z"
"end_time": "2020-12-15T13:09:06.643812Z",
"start_time": "2020-12-15T13:09:06.473386Z"
}
},
"outputs": [],
@@ -288,8 +260,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:56:12.159463Z",
"start_time": "2020-12-15T11:56:11.446991Z"
"end_time": "2020-12-15T13:09:08.094414Z",
"start_time": "2020-12-15T13:09:07.073253Z"
}
},
"outputs": [],
@@ -302,8 +274,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:56:20.488863Z",
"start_time": "2020-12-15T11:56:20.485485Z"
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"start_time": "2020-12-15T13:09:08.096550Z"
}
},
"outputs": [],
@@ -316,8 +288,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
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"start_time": "2020-12-15T13:09:08.820014Z"
}
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"outputs": [],
@@ -338,8 +310,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:58:09.012892Z",
"start_time": "2020-12-15T11:58:08.940907Z"
"end_time": "2020-12-15T13:09:09.606031Z",
"start_time": "2020-12-15T13:09:09.504239Z"
}
},
"outputs": [],
@@ -353,15 +325,15 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:58:11.562186Z",
"start_time": "2020-12-15T11:58:09.949825Z"
"end_time": "2020-12-15T13:09:11.453171Z",
"start_time": "2020-12-15T13:09:09.633435Z"
}
},
"outputs": [],
"source": [
"for i in single_audio_stream(model, wav, run_function=validate_onnx):\n",
" if i:\n",
" print(i)"
"for batch in single_audio_stream(model, wav, run_function=validate_onnx):\n",
" if batch:\n",
" print(batch)"
]
},
{
@@ -374,7 +346,12 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T13:09:11.540423Z",
"start_time": "2020-12-15T13:09:11.455706Z"
}
},
"outputs": [],
"source": [
"model = init_onnx_model('files/model.onnx')"
@@ -385,8 +362,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:59:09.381687Z",
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@@ -400,23 +377,16 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-15T11:59:27.712905Z",
"start_time": "2020-12-15T11:59:21.608435Z"
"end_time": "2020-12-15T13:09:19.565434Z",
"start_time": "2020-12-15T13:09:11.552097Z"
}
},
"outputs": [],
"source": [
"for i in state_generator(model, audios_for_stream, audios_in_stream=2, run_function=validate_onnx): # 2 audio stream\n",
" if i:\n",
" print(i)"
"for batch in state_generator(model, audios_for_stream, audios_in_stream=2, run_function=validate_onnx): # 2 audio stream\n",
" if batch:\n",
" print(batch)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {