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September 15, 2018 17:50
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2018-09-15T17:40:52.322694Z", | |
"start_time": "2018-09-15T17:40:51.914542Z" | |
} | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"pip 18.0 from /home/shay/.virtualenvs/tv-script-generation/lib/python3.5/site-packages/pip (python 3.5)\r\n" | |
] | |
} | |
], | |
"source": [ | |
"!pip -V" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2018-09-15T17:40:53.821482Z", | |
"start_time": "2018-09-15T17:40:52.404804Z" | |
} | |
}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Using TensorFlow backend.\n" | |
] | |
}, | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"CPython 3.5.2\n", | |
"IPython 6.5.0\n", | |
"\n", | |
"numpy 1.12.1\n", | |
"scipy 0.19.1\n", | |
"sklearn 0.19.1\n", | |
"pandas 0.20.3\n", | |
"keras 2.0.9\n", | |
"tensorflow 1.3.0\n", | |
"matplotlib 2.1.0\n", | |
"seaborn 0.8.1\n", | |
"tqdm 4.11.2\n", | |
"\n", | |
"CUDA Version 8.0.61\r\n" | |
] | |
} | |
], | |
"source": [ | |
"%reload_ext watermark\n", | |
"import warnings\n", | |
"with warnings.catch_warnings():\n", | |
" warnings.simplefilter('ignore')\n", | |
" %watermark -v --packages numpy,scipy,sklearn,pandas,keras,tensorflow,matplotlib,seaborn,tqdm\n", | |
"print()\n", | |
"!cat /usr/local/cuda/version.txt" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2018-09-15T17:40:53.952182Z", | |
"start_time": "2018-09-15T17:40:53.823505Z" | |
} | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"#define CUDNN_MAJOR 6\r\n", | |
"#define CUDNN_MINOR 0\r\n", | |
"#define CUDNN_PATCHLEVEL 21\r\n", | |
"--\r\n", | |
"#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)\r\n", | |
"\r\n", | |
"#include \"driver_types.h\"\r\n" | |
] | |
} | |
], | |
"source": [ | |
"!cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2018-09-15T17:40:55.611920Z", | |
"start_time": "2018-09-15T17:40:55.464698Z" | |
} | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"396.54\r\n" | |
] | |
} | |
], | |
"source": [ | |
"!nvidia-smi --query-gpu=driver_version --format=csv,noheader" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"anaconda-cloud": {}, | |
"kernelspec": { | |
"display_name": "Python 3", | |
"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": "3.5.2" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 1 | |
} |
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