paper_note/lynx/end_to_end_hybrid.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\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",
    "]\n",
    "\n",
    "edgecolors = [\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "]\n",
    "\n",
    "hatches = [\"//\", \"\", \"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2100x2333.33 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(7, 14 / 1.8), ncols=1, nrows=3, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name = [\n",
    "    \"ModelA\\n\" + r\"2DP$\\times $4TP\",\n",
    "    \"ModelA\\n\" + r\"2DP$\\times $8TP\",\n",
    "    \"ModelB\\n\" + r\"2DP$\\times $4TP\",\n",
    "    \"ModelB\\n\" + r\"2DP$\\times $8TP\",\n",
    "    \"ModelC\\n\" + r\"2DP$\\times $4TP\",\n",
    "    \"ModelC\\n\" + r\"2DP$\\times $8TP\",\n",
    "    \"ModelD\\n\" + r\"2DP$\\times $4TP\",\n",
    "    \"ModelD\\n\" + r\"2DP$\\times $8TP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MFU\n",
    "data_a = {\n",
    "    labels_name[0]: [53, 53, 65],  # 22.64\n",
    "    labels_name[1]: [53, 53, 65],  # 22.64\n",
    "    labels_name[2]: [35, 35, 48],  # 37\n",
    "    labels_name[3]: [35, 35, 48],  # 37\n",
    "    labels_name[4]: [53, 53, 65],  # 22.64\n",
    "    labels_name[5]: [53, 53, 65],  # 22.64\n",
    "    labels_name[6]: [53, 53, 65],  # 22.64\n",
    "    labels_name[7]: [53, 53, 65],  # 22.64\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "# overlapping rate\n",
    "data_b = {\n",
    "    labels_name[0]: [54, 62, 12],\n",
    "    labels_name[1]: [54, 62, 12],\n",
    "    labels_name[2]: [52, 62, 12],\n",
    "    labels_name[3]: [52, 62, 12],\n",
    "    labels_name[4]: [52, 62, 12],\n",
    "    labels_name[5]: [52, 62, 12],\n",
    "    labels_name[6]: [53, 62, 12],\n",
    "    labels_name[7]: [52, 62, 12],\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "# communication baseline\n",
    "data_c = {\n",
    "    labels_name[0]: 70,\n",
    "    labels_name[1]: 70,\n",
    "    labels_name[2]: 70,\n",
    "    labels_name[3]: 70,\n",
    "    labels_name[4]: 70,\n",
    "    labels_name[5]: 70,\n",
    "    labels_name[6]: 70,\n",
    "    labels_name[7]: 70,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_d = {\n",
    "    labels_name[0]: [124, 124, 128],  # 22.64\n",
    "    labels_name[1]: [124, 124, 128],  # 22.64\n",
    "    labels_name[2]: [124, 124, 128],  # 37\n",
    "    labels_name[3]: [124, 124, 128],  # 37\n",
    "    labels_name[4]: [124, 124, 128],  # 22.64\n",
    "    labels_name[5]: [124, 124, 128],  # 22.64\n",
    "    labels_name[6]: [124, 124, 128],  # 22.64\n",
    "    labels_name[7]: [124, 124, 128],  # 22.64\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"Megatron-LM\", \"XLA\", \"DLRover-Lynx\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "bar_width = 0.2\n",
    "group_spaing = 0.15\n",
    "\n",
    "group_positions = {}\n",
    "current_pos = 0\n",
    "\n",
    "for x_label, y_data in data_a.items():\n",
    "    group_positions[x_label] = []\n",
    "    for i in range(len(y_data)):\n",
    "        group_positions[x_label].append(current_pos)\n",
    "        current_pos += bar_width\n",
    "    current_pos += group_spaing\n",
    "\n",
    "group_centers = {}\n",
    "for x_label, positions in group_positions.items():\n",
    "    group_centers[x_label] = sum(positions) / len(positions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(d)')"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_set = set()\n",
    "for x_label, y_data in data_a.items():\n",
    "    positions = group_positions[x_label]\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",
    "        ax[0].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[0].set_xticks(list(group_centers.values()))\n",
    "ax[0].set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax[0].set_ylim(0, 100)\n",
    "ax[0].set_yticks([0, 50, 100])\n",
    "ax[0].set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[0].tick_params(axis=\"x\", bottom=False, labelsize=11, pad=1)\n",
    "ax[0].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[0].set_ylabel(\"MFU (%)\", fontsize=g_label_fontsize)\n",
    "ax[0].set_title(\"(d)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(e)')"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_set = set()\n",
    "total_label = \"Non-Overlap Communication\"\n",
    "\n",
    "for x_label, y_data in data_b.items():\n",
    "    positions = group_positions[x_label]\n",
    "    for i, (pos, value, diff_value, color, edgecolor, label, hatch) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            list(data_c.values()),\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            legend_labels,\n",
    "            hatches,\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[1].bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            edgecolor=edgecolor,\n",
    "            hatch=hatch,\n",
    "            #label=local_label,\n",
    "        )\n",
    "\n",
    "        ax[1].bar(\n",
    "            pos,\n",
    "            diff_value - value,\n",
    "            bottom=value,\n",
    "            color=\"#E3E3E3\",\n",
    "            edgecolor=edgecolor,\n",
    "            width=bar_width,\n",
    "            label=total_label,\n",
    "        )\n",
    "\n",
    "        if total_label is not None:\n",
    "            total_label = None\n",
    "\n",
    "ax[1].set_xticks(list(group_centers.values()))\n",
    "ax[1].set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax[1].set_ylim(0, 100)\n",
    "ax[1].set_yticks([0, 50, 100])\n",
    "ax[1].set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[1].tick_params(axis=\"x\", bottom=False, labelsize=11, pad=1)\n",
    "ax[1].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[1].set_ylabel(\"Comm-Comp Overlap Ratio (%)\", fontsize=g_label_fontsize)\n",
    "ax[1].set_title(\"(e)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(f)')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for x_label, y_data in data_d.items():\n",
    "    positions = group_positions[x_label]\n",
    "    for i, (pos, value, color, edgecolor, hatch) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "        )\n",
    "    ):\n",
    "        ax[2].bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            edgecolor=edgecolor,\n",
    "            hatch=hatch,\n",
    "            label=local_label,\n",
    "        )\n",
    "\n",
    "\n",
    "ax[2].set_xticks(list(group_centers.values()))\n",
    "ax[2].set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax[2].set_ylim(0, 150)\n",
    "ax[2].set_yticks([0, 50, 100])\n",
    "ax[2].set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[2].tick_params(axis=\"x\", bottom=False, labelsize=11, pad=1)\n",
    "ax[2].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[2].set_ylabel(\"Throughput (tokens/s)\", fontsize=g_label_fontsize)\n",
    "ax[2].set_title(\"(f)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f7928473170>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax[0].legend(\n",
    "    ncol=3,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    fontsize=g_label_fontsize,\n",
    ")\n",
    "\n",
    "ax[1].legend(\n",
    "    ncol=1,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    fontsize=g_label_fontsize,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2100x2333.33 with 3 Axes>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"end_to_end_hybrid.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
}