{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 121,
   "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": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2100x1050 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(7, 7 / 2), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "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": 124,
   "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": 125,
   "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": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\n",
    "    \"Megatron-LM\",\n",
    "    \"XLA\",\n",
    "    \"DLRover-Lynx with Static Estimation\",\n",
    "    \"DLRover-Lynx\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "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": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(13.333333333333346, 0.5, 'MFU (%)')"
      ]
     },
     "execution_count": 128,
     "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": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f2de831ae40>"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.legend(\n",
    "    ncol=2,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    bbox_to_anchor=(0.5, 1.12),\n",
    "    fontsize=g_label_fontsize - 3,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2100x1050 with 1 Axes>"
      ]
     },
     "execution_count": 130,
     "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
}