{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import subprocess, re\n", "\n", "gitrev = subprocess.getoutput(\"git rev-parse --short HEAD\")\n", "\n", "data_a = np.zeros((10, 2))\n", "data_n = np.zeros((10, 2))\n", "\n", "for i in range(10):\n", " try:\n", " with open(\"report_a%d.txt\" % i, \"r\") as f:\n", " for line in f:\n", " if line.startswith(\"Total path delay:\"):\n", " data_a[i, 0] = float(line.split()[3])\n", " except:\n", " data_a[i, 0] = 1.0\n", " \n", " try:\n", " with open(\"report_n%d.txt\" % i, \"r\") as f:\n", " for line in f:\n", " if line.startswith(\"Total path delay:\"):\n", " data_n[i, 0] = float(line.split()[3])\n", " except:\n", " data_n[i, 0] = 1.0\n", " \n", " with open(\"hx8kdemo_a%d.log\" % i, \"r\") as f:\n", " for line in f:\n", " match = re.match(r\"real\\s+(\\d+)m(\\d+)\", line)\n", " if match:\n", " data_a[i, 1] = float(match.group(1)) + float(match.group(2))/60\n", " \n", " with open(\"hx8kdemo_n%d.log\" % i, \"r\") as f:\n", " for line in f:\n", " match = re.match(r\"real\\s+(\\d+)m(\\d+)\", line)\n", " if match:\n", " data_n[i, 1] = float(match.group(1)) + float(match.group(2))/60\n", "\n", "plt.figure(figsize=(9,3))\n", "plt.title(\"nextpnr -- ice40/benchmark/ -- %s\" % gitrev)\n", "plt.bar(np.arange(10), data_a[:, 0], color='blue')\n", "plt.bar(15+np.arange(10), data_n[:, 0], color='red')\n", "plt.ylabel('Longest path (ns)')\n", "plt.xticks([5, 20], [\"arachne-pnr\", \"nextpnr\"])\n", "plt.xlim(-2, 27)\n", "plt.show()\n", "\n", "plt.figure(figsize=(9,3))\n", "plt.title(\"nextpnr -- ice40/benchmark/ -- %s\" % gitrev)\n", "plt.bar(np.arange(10), data_a[:, 1], color='blue')\n", "plt.bar(15+np.arange(10), data_n[:, 1], color='red')\n", "plt.ylabel('Runtime (minutes)')\n", "plt.xticks([5, 20], [\"arachne-pnr\", \"nextpnr\"])\n", "plt.xlim(-2, 27)\n", "plt.show()" ] } ], "metadata": { "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 }