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| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 1, |
| 6 | + "id": "16a699c3", |
| 7 | + "metadata": {}, |
| 8 | + "outputs": [], |
| 9 | + "source": [ |
| 10 | + "import torch" |
| 11 | + ] |
| 12 | + }, |
| 13 | + { |
| 14 | + "cell_type": "code", |
| 15 | + "execution_count": 21, |
| 16 | + "id": "6916b074", |
| 17 | + "metadata": {}, |
| 18 | + "outputs": [], |
| 19 | + "source": [ |
| 20 | + "A = torch.arange(0,1000000).reshape(1000, 1000).to(torch.float32).to('mps') * 0.00001\n", |
| 21 | + "B = torch.arange(0,1000000).reshape(1000, 1000).to(torch.float32).to('mps') * 0.00001" |
| 22 | + ] |
| 23 | + }, |
| 24 | + { |
| 25 | + "cell_type": "markdown", |
| 26 | + "id": "faaecb7f", |
| 27 | + "metadata": {}, |
| 28 | + "source": [] |
| 29 | + }, |
| 30 | + { |
| 31 | + "cell_type": "code", |
| 32 | + "execution_count": 22, |
| 33 | + "id": "2779e698", |
| 34 | + "metadata": {}, |
| 35 | + "outputs": [ |
| 36 | + { |
| 37 | + "data": { |
| 38 | + "text/plain": [ |
| 39 | + "tensor([[3.3283e+01, 3.3283e+01, 3.3283e+01, ..., 3.3333e+01, 3.3333e+01,\n", |
| 40 | + " 3.3333e+01],\n", |
| 41 | + " [8.3233e+01, 8.3234e+01, 8.3234e+01, ..., 8.3383e+01, 8.3383e+01,\n", |
| 42 | + " 8.3383e+01],\n", |
| 43 | + " [1.3318e+02, 1.3318e+02, 1.3318e+02, ..., 1.3343e+02, 1.3343e+02,\n", |
| 44 | + " 1.3343e+02],\n", |
| 45 | + " ...,\n", |
| 46 | + " [4.9833e+04, 4.9834e+04, 4.9834e+04, ..., 4.9933e+04, 4.9933e+04,\n", |
| 47 | + " 4.9933e+04],\n", |
| 48 | + " [4.9883e+04, 4.9883e+04, 4.9884e+04, ..., 4.9983e+04, 4.9983e+04,\n", |
| 49 | + " 4.9983e+04],\n", |
| 50 | + " [4.9933e+04, 4.9933e+04, 4.9934e+04, ..., 5.0033e+04, 5.0033e+04,\n", |
| 51 | + " 5.0033e+04]], device='mps:0')" |
| 52 | + ] |
| 53 | + }, |
| 54 | + "execution_count": 22, |
| 55 | + "metadata": {}, |
| 56 | + "output_type": "execute_result" |
| 57 | + } |
| 58 | + ], |
| 59 | + "source": [ |
| 60 | + "torch.matmul(A,B)" |
| 61 | + ] |
| 62 | + }, |
| 63 | + { |
| 64 | + "cell_type": "code", |
| 65 | + "execution_count": 23, |
| 66 | + "id": "6cf685f6", |
| 67 | + "metadata": {}, |
| 68 | + "outputs": [ |
| 69 | + { |
| 70 | + "data": { |
| 71 | + "text/plain": [ |
| 72 | + "tensor([[3.3283e+01, 8.3233e+01, 1.3318e+02, ..., 4.9833e+04, 4.9883e+04,\n", |
| 73 | + " 4.9933e+04],\n", |
| 74 | + " [3.3283e+01, 8.3234e+01, 1.3318e+02, ..., 4.9834e+04, 4.9883e+04,\n", |
| 75 | + " 4.9933e+04],\n", |
| 76 | + " [3.3283e+01, 8.3234e+01, 1.3318e+02, ..., 4.9834e+04, 4.9884e+04,\n", |
| 77 | + " 4.9934e+04],\n", |
| 78 | + " ...,\n", |
| 79 | + " [3.3333e+01, 8.3383e+01, 1.3343e+02, ..., 4.9933e+04, 4.9983e+04,\n", |
| 80 | + " 5.0033e+04],\n", |
| 81 | + " [3.3333e+01, 8.3383e+01, 1.3343e+02, ..., 4.9933e+04, 4.9983e+04,\n", |
| 82 | + " 5.0033e+04],\n", |
| 83 | + " [3.3333e+01, 8.3383e+01, 1.3343e+02, ..., 4.9933e+04, 4.9983e+04,\n", |
| 84 | + " 5.0033e+04]], device='mps:0')" |
| 85 | + ] |
| 86 | + }, |
| 87 | + "execution_count": 23, |
| 88 | + "metadata": {}, |
| 89 | + "output_type": "execute_result" |
| 90 | + } |
| 91 | + ], |
| 92 | + "source": [ |
| 93 | + "torch.einsum('ij,jk->ki',A, B)" |
| 94 | + ] |
| 95 | + }, |
| 96 | + { |
| 97 | + "cell_type": "code", |
| 98 | + "execution_count": null, |
| 99 | + "id": "f6c1ec9b", |
| 100 | + "metadata": {}, |
| 101 | + "outputs": [], |
| 102 | + "source": [] |
| 103 | + } |
| 104 | + ], |
| 105 | + "metadata": { |
| 106 | + "kernelspec": { |
| 107 | + "display_name": ".venv", |
| 108 | + "language": "python", |
| 109 | + "name": "python3" |
| 110 | + }, |
| 111 | + "language_info": { |
| 112 | + "codemirror_mode": { |
| 113 | + "name": "ipython", |
| 114 | + "version": 3 |
| 115 | + }, |
| 116 | + "file_extension": ".py", |
| 117 | + "mimetype": "text/x-python", |
| 118 | + "name": "python", |
| 119 | + "nbconvert_exporter": "python", |
| 120 | + "pygments_lexer": "ipython3", |
| 121 | + "version": "3.12.9" |
| 122 | + } |
| 123 | + }, |
| 124 | + "nbformat": 4, |
| 125 | + "nbformat_minor": 5 |
| 126 | +} |
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