diff --git a/examples/parallel_example.ipynb b/examples/parallel_example.ipynb index 9704291..2c83c07 100644 --- a/examples/parallel_example.ipynb +++ b/examples/parallel_example.ipynb @@ -1,7 +1,6 @@ { "cells": [ { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -18,17 +17,19 @@ "SAMPLING_RATE = 16000\n", "import torch\n", "from pprint import pprint\n", + "import time\n", + "import shutil\n", "\n", "torch.set_num_threads(1)\n", "NUM_PROCESS=4 # set to the number of CPU cores in the machine\n", "NUM_COPIES=8\n", "# download wav files, make multiple copies\n", - "for idx in range(NUM_COPIES):\n", - " torch.hub.download_url_to_file('https://models.silero.ai/vad_models/en.wav', f\"en_example{idx}.wav\")\n" + "torch.hub.download_url_to_file('https://models.silero.ai/vad_models/en.wav', f\"en_example0.wav\")\n", + "for idx in range(NUM_COPIES-1):\n", + " shutil.copy(f\"en_example0.wav\", f\"en_example{idx+1}.wav\")" ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -54,7 +55,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -99,7 +99,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -127,7 +126,7 @@ ], "metadata": { "kernelspec": { - "display_name": "diarization", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -141,7 +140,20 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.15" + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false } }, "nbformat": 4,