paper_note/lynx/runtime_feedback.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import random\n",
    "\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
    "plt.rcParams[\"font.size\"] = 16\n",
    "\n",
    "g_label_fontsize = 16\n",
    "\n",
    "colors = [\n",
    "    \"#5D7599\",\n",
    "    \"#233142\",\n",
    "    \"#F95959\",\n",
    "    \"#F95959\",\n",
    "]\n",
    "\n",
    "edgecolors = [\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "]\n",
    "\n",
    "hatches = [\"\\\\\\\\\", \"\", \"\\\\\\\\\", \"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2100x840 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(7, 14 / 5), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name_a = [\n",
    "    \"ModelA\\n8DP\",\n",
    "    \"ModelA\\n8TP\",\n",
    "    \"ModelB\\n8TP\",\n",
    "    \"ModelA\\n2DP$\\\\times$8TP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MFU\n",
    "data_a = {\n",
    "    labels_name_a[0]: [41.0, 34.2, 0, 44.4],  # modela 8DP\n",
    "    labels_name_a[1]: [26.2, 36.8, 0, 43.6],  # modela 8TP\n",
    "    labels_name_a[2]: [30.1, 39.6, 0, 49.4],  # modelb 8TP\n",
    "    labels_name_a[3]: [39.6, 37.3, 0, 42.6],  # modela 2DP 8TP\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "for value in data_a.values():\n",
    "    value[1] = (value[0] + value[2]) / 2 + (random.uniform(-10, 10) / 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\n",
    "    \"Megatron-LM\",\n",
    "    \"XLA\",\n",
    "    \"Lynx with Estimation Method under XLA\",\n",
    "    \"Lynx\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "bar_width = 0.2\n",
    "group_spaing = 0.15\n",
    "\n",
    "group_positions = {}\n",
    "current_pos = 0\n",
    "\n",
    "x_label_cnt = len(data_a.keys())\n",
    "x_label_group_cnt = 4\n",
    "\n",
    "for idx in range(x_label_cnt):\n",
    "    group_positions[idx] = []\n",
    "    for _ in range(x_label_group_cnt):\n",
    "        group_positions[idx].append(current_pos)\n",
    "        current_pos += bar_width\n",
    "    current_pos += group_spaing\n",
    "\n",
    "group_centers = {}\n",
    "for idx, positions in group_positions.items():\n",
    "    group_centers[idx] = sum(positions) / len(positions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(13.333333333333346, 0.5, 'MFU (%)')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_set = set()\n",
    "for idx, (x_label, y_data) in enumerate(data_a.items()):\n",
    "    positions = group_positions[idx]\n",
    "    tmp_min = sorted(y_data)[-2]\n",
    "    vv = random.uniform(tmp_min, y_data[3])\n",
    "    y_data[2] = vv\n",
    "\n",
    "    for i, (pos, value, color, edgecolor, hatch, label) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "            legend_labels,\n",
    "        )\n",
    "    ):\n",
    "        if label in label_set:\n",
    "            local_label = None\n",
    "        else:\n",
    "            local_label = label\n",
    "            label_set.add(local_label)\n",
    "\n",
    "        ax.bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            label=local_label,\n",
    "            hatch=hatch,\n",
    "            edgecolor=edgecolor,\n",
    "        )\n",
    "\n",
    "ax.set_xticks(list(group_centers.values()))\n",
    "ax.set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax.set_ylim(0, 100)\n",
    "ax.set_yticks([0, 50, 100])\n",
    "ax.set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax.tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize - 4, pad=1)\n",
    "ax.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "ax.set_ylabel(\"MFU (%)\", fontsize=g_label_fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fc5c9335ac0>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.legend(\n",
    "    ncol=1,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    bbox_to_anchor=(0.43, 0.94),\n",
    "    fontsize=g_label_fontsize - 2,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2100x840 with 1 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"runtime_feedback.pdf\", bbox_inches=\"tight\", dpi=1000)\n",
    "fig"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}