{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "bb9a1e74-8c5c-42bb-93fb-bfd3d6169dbd", "metadata": {}, "outputs": [], "source": [ "from micrograd.engine import Value\n", "from micrograd.draw import draw_dot" ] }, { "cell_type": "code", "execution_count": 2, "id": "afbfde7d-1592-476d-9ea1-399434752e8a", "metadata": {}, "outputs": [], "source": [ "x = Value(1.0)\n", "y = Value(4.0)\n", "z = Value(-1)\n", "f = (y+z) + (x*y) + z" ] }, { "cell_type": "code", "execution_count": 3, "id": "35bdfb93-8f89-4dd8-8c50-29774dd04984", "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "%3\n", "\n", "\n", "\n", "140306720081952\n", "\n", "data 4.0000\n", "\n", "grad 0.0000\n", "\n", "\n", "\n", "140306720081616+\n", "\n", "+\n", "\n", "\n", "\n", "140306720081952->140306720081616+\n", "\n", "\n", "\n", "\n", "\n", "140306720081952*\n", "\n", "*\n", "\n", "\n", "\n", "140306720081952*->140306720081952\n", "\n", "\n", "\n", "\n", "\n", "140306720082000\n", "\n", "data -1.0000\n", "\n", "grad 0.0000\n", "\n", "\n", "\n", "140306720081520+\n", "\n", "+\n", "\n", "\n", "\n", "140306720082000->140306720081520+\n", "\n", "\n", "\n", "\n", "\n", "140306720082096+\n", "\n", "+\n", "\n", "\n", "\n", "140306720082000->140306720082096+\n", "\n", "\n", "\n", "\n", "\n", "140306720081520\n", "\n", "data 6.0000\n", "\n", "grad 0.0000\n", "\n", "\n", "\n", "140306720081520+->140306720081520\n", "\n", "\n", "\n", "\n", "\n", "140306720082096\n", "\n", "data 3.0000\n", "\n", "grad 0.0000\n", "\n", "\n", "\n", "140306720082096->140306720081616+\n", "\n", "\n", "\n", "\n", "\n", "140306720082096+->140306720082096\n", "\n", "\n", "\n", "\n", "\n", "140306720081616\n", "\n", "data 7.0000\n", "\n", "grad 0.0000\n", "\n", "\n", "\n", "140306720081616->140306720081520+\n", "\n", "\n", "\n", "\n", "\n", "140306720081616+->140306720081616\n", "\n", "\n", "\n", "\n", "\n", "140306737924848\n", "\n", "data 4.0000\n", "\n", "grad 0.0000\n", "\n", "\n", "\n", "140306737924848->140306720081952*\n", "\n", "\n", "\n", "\n", "\n", "140306737924848->140306720082096+\n", "\n", "\n", "\n", "\n", "\n", "140306720080368\n", "\n", "data 1.0000\n", "\n", "grad 0.0000\n", "\n", "\n", "\n", "140306720080368->140306720081952*\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "draw_dot(f)" ] }, { "cell_type": "code", "execution_count": null, "id": "8491fa95-c89e-4283-95fe-d685d50f7e07", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 5 }