nextpnr/ice40/benchmark/report.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
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"outputs": [],
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import subprocess\n",
"\n",
"gitrev = subprocess.getoutput(\"git rev-parse --short HEAD\")\n",
"\n",
"data_a = 1 + np.zeros(10)\n",
"data_n = 1 + np.zeros(10)\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] = float(line.split()[3])\n",
" except:\n",
" pass\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] = float(line.split()[3])\n",
" except:\n",
" pass\n",
"\n",
"plt.figure(figsize=(9,3))\n",
"plt.title(\"nextpnr -- ice40/benchmark/ -- %s\" % gitrev)\n",
"plt.bar(np.arange(10), data_a, color='blue')\n",
"plt.bar(15+np.arange(10), data_n, color='red')\n",
"plt.ylabel('Longest path (ns)')\n",
"plt.xticks([5, 20], [\"arachne-pnr\", \"nextpnr\"])\n",
"plt.xlim(-2, 27)\n",
"plt.show()"
]
}
],
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"language": "python",
"name": "python3"
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