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intro_to_dl_init.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "intro_to_dl_init.ipynb",
"version": "0.3.2",
"provenance": [],
"collapsed_sections": [],
"toc_visible": true,
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"[View in Colaboratory](https://colab.research.google.com/gist/fqx/1150d53b6db4bd375135a04b167f1aba/intro_to_dl_init.ipynb)"
]
},
{
"metadata": {
"id": "SqPuQy_XTIT6",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Environment initiation"
]
},
{
"metadata": {
"id": "pFdLo90KRcvX",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"# upload requirements.txt and *.py\n",
"from google.colab import files\n",
"uploaded = files.upload()\n",
"for fn in uploaded.keys():\n",
" print('User uploaded file \"{name}\" with length {length} bytes'.format(name=fn, length=len(uploaded[fn])))"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "SUXXng9yRsCz",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"!pip install -q -r requirements.txt\n",
"!apt-get install -qq -y ffmpeg"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "cHQg7GSWwZ4a",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"import tensorflow as tf\n",
"print(tf.__version__)\n",
"print(tf.test.gpu_device_name())\n",
"!ffmpeg -version"
],
"execution_count": 0,
"outputs": []
}
]
}
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