Spaces:
Runtime error
Runtime error
Delete google_solver/Untitled.ipynb
Browse files- google_solver/Untitled.ipynb +0 -99
google_solver/Untitled.ipynb
DELETED
|
@@ -1,99 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"cells": [
|
| 3 |
-
{
|
| 4 |
-
"cell_type": "code",
|
| 5 |
-
"execution_count": 3,
|
| 6 |
-
"metadata": {},
|
| 7 |
-
"outputs": [],
|
| 8 |
-
"source": [
|
| 9 |
-
"import numpy as np\n",
|
| 10 |
-
"import torch"
|
| 11 |
-
]
|
| 12 |
-
},
|
| 13 |
-
{
|
| 14 |
-
"cell_type": "code",
|
| 15 |
-
"execution_count": 6,
|
| 16 |
-
"metadata": {},
|
| 17 |
-
"outputs": [
|
| 18 |
-
{
|
| 19 |
-
"data": {
|
| 20 |
-
"text/plain": [
|
| 21 |
-
"[array([0.01560026, 0.14899027, 0.8198149 ], dtype=float32),\n",
|
| 22 |
-
" array([0.9768128 , 0.06915247, 0.42297667], dtype=float32),\n",
|
| 23 |
-
" array([0.9447805 , 0.9968865 , 0.85253155], dtype=float32),\n",
|
| 24 |
-
" array([0.4674251, 0.9449542, 0.6850118], dtype=float32),\n",
|
| 25 |
-
" array([0.8488321 , 0.9191937 , 0.33687925], dtype=float32)]"
|
| 26 |
-
]
|
| 27 |
-
},
|
| 28 |
-
"execution_count": 6,
|
| 29 |
-
"metadata": {},
|
| 30 |
-
"output_type": "execute_result"
|
| 31 |
-
}
|
| 32 |
-
],
|
| 33 |
-
"source": [
|
| 34 |
-
"torch.rand(5, 3).numpy()"
|
| 35 |
-
]
|
| 36 |
-
},
|
| 37 |
-
{
|
| 38 |
-
"cell_type": "code",
|
| 39 |
-
"execution_count": 7,
|
| 40 |
-
"metadata": {},
|
| 41 |
-
"outputs": [],
|
| 42 |
-
"source": [
|
| 43 |
-
"x = torch.rand(5, 3).numpy()"
|
| 44 |
-
]
|
| 45 |
-
},
|
| 46 |
-
{
|
| 47 |
-
"cell_type": "code",
|
| 48 |
-
"execution_count": 8,
|
| 49 |
-
"metadata": {},
|
| 50 |
-
"outputs": [
|
| 51 |
-
{
|
| 52 |
-
"data": {
|
| 53 |
-
"text/plain": [
|
| 54 |
-
"[[0.6611388, 0.24161768, 0.35973948],\n",
|
| 55 |
-
" [0.28449154, 0.81414443, 0.17932409],\n",
|
| 56 |
-
" [0.65817285, 0.1036877, 0.8726997],\n",
|
| 57 |
-
" [0.05815494, 0.3649323, 0.6273505],\n",
|
| 58 |
-
" [0.57139295, 0.16107935, 0.08857018]]"
|
| 59 |
-
]
|
| 60 |
-
},
|
| 61 |
-
"execution_count": 8,
|
| 62 |
-
"metadata": {},
|
| 63 |
-
"output_type": "execute_result"
|
| 64 |
-
}
|
| 65 |
-
],
|
| 66 |
-
"source": [
|
| 67 |
-
"[list(x[i]) for i in range(x.shape[0])]"
|
| 68 |
-
]
|
| 69 |
-
},
|
| 70 |
-
{
|
| 71 |
-
"cell_type": "code",
|
| 72 |
-
"execution_count": null,
|
| 73 |
-
"metadata": {},
|
| 74 |
-
"outputs": [],
|
| 75 |
-
"source": []
|
| 76 |
-
}
|
| 77 |
-
],
|
| 78 |
-
"metadata": {
|
| 79 |
-
"kernelspec": {
|
| 80 |
-
"display_name": "Python 3",
|
| 81 |
-
"language": "python",
|
| 82 |
-
"name": "python3"
|
| 83 |
-
},
|
| 84 |
-
"language_info": {
|
| 85 |
-
"codemirror_mode": {
|
| 86 |
-
"name": "ipython",
|
| 87 |
-
"version": 3
|
| 88 |
-
},
|
| 89 |
-
"file_extension": ".py",
|
| 90 |
-
"mimetype": "text/x-python",
|
| 91 |
-
"name": "python",
|
| 92 |
-
"nbconvert_exporter": "python",
|
| 93 |
-
"pygments_lexer": "ipython3",
|
| 94 |
-
"version": "3.7.3"
|
| 95 |
-
}
|
| 96 |
-
},
|
| 97 |
-
"nbformat": 4,
|
| 98 |
-
"nbformat_minor": 2
|
| 99 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|