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| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 13, |
| 6 | + "metadata": {}, |
| 7 | + "outputs": [], |
| 8 | + "source": [ |
| 9 | + "import torch\n", |
| 10 | + "import numpy as np\n", |
| 11 | + "\n", |
| 12 | + "arr1 = np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12],[13,14,15]])\n", |
| 13 | + "arr2 = np.array([[3,4,5,6],[7,8,9,10],[11,12,13,14]])\n", |
| 14 | + "\n" |
| 15 | + ] |
| 16 | + }, |
| 17 | + { |
| 18 | + "cell_type": "code", |
| 19 | + "execution_count": 16, |
| 20 | + "metadata": {}, |
| 21 | + "outputs": [ |
| 22 | + { |
| 23 | + "name": "stdout", |
| 24 | + "output_type": "stream", |
| 25 | + "text": [ |
| 26 | + "tensor([[ 3, 4, 5, 6],\n", |
| 27 | + " [ 7, 8, 9, 10],\n", |
| 28 | + " [11, 12, 13, 14]], dtype=torch.int32)\n" |
| 29 | + ] |
| 30 | + } |
| 31 | + ], |
| 32 | + "source": [ |
| 33 | + "tens1 = torch.from_numpy(arr1)\n", |
| 34 | + "tens2 = torch.from_numpy(arr2)\n", |
| 35 | + "\n", |
| 36 | + "print(tens2)" |
| 37 | + ] |
| 38 | + }, |
| 39 | + { |
| 40 | + "cell_type": "code", |
| 41 | + "execution_count": 17, |
| 42 | + "metadata": {}, |
| 43 | + "outputs": [ |
| 44 | + { |
| 45 | + "name": "stdout", |
| 46 | + "output_type": "stream", |
| 47 | + "text": [ |
| 48 | + "tensor([[ 50, 56, 62, 68],\n", |
| 49 | + " [113, 128, 143, 158],\n", |
| 50 | + " [176, 200, 224, 248],\n", |
| 51 | + " [239, 272, 305, 338],\n", |
| 52 | + " [302, 344, 386, 428]], dtype=torch.int32)\n" |
| 53 | + ] |
| 54 | + } |
| 55 | + ], |
| 56 | + "source": [ |
| 57 | + "ans = torch.mm(tens1, tens2)\n", |
| 58 | + "print(ans)" |
| 59 | + ] |
| 60 | + }, |
| 61 | + { |
| 62 | + "cell_type": "code", |
| 63 | + "execution_count": null, |
| 64 | + "metadata": {}, |
| 65 | + "outputs": [], |
| 66 | + "source": [] |
| 67 | + } |
| 68 | + ], |
| 69 | + "metadata": { |
| 70 | + "kernelspec": { |
| 71 | + "display_name": "Python 3", |
| 72 | + "language": "python", |
| 73 | + "name": "python3" |
| 74 | + }, |
| 75 | + "language_info": { |
| 76 | + "codemirror_mode": { |
| 77 | + "name": "ipython", |
| 78 | + "version": 3 |
| 79 | + }, |
| 80 | + "file_extension": ".py", |
| 81 | + "mimetype": "text/x-python", |
| 82 | + "name": "python", |
| 83 | + "nbconvert_exporter": "python", |
| 84 | + "pygments_lexer": "ipython3", |
| 85 | + "version": "3.6.8" |
| 86 | + } |
| 87 | + }, |
| 88 | + "nbformat": 4, |
| 89 | + "nbformat_minor": 2 |
| 90 | +} |
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