paper_note/lynx/end_to_end_mem.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "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": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 4200x1050 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(14, 14 / 4), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name_a = [\n",
    "    \"ModelA\\n8DP\",\n",
    "    \"ModelA\\n8TP\",\n",
    "    \"ModelB\\n8TP\",  \n",
    "    \"ModelA\\n2DP$\\\\times$4TP\",\n",
    "    \"ModelA\\n2DP$\\\\times$8TP\",\n",
    "    \"ModelA\\n4DP$\\\\times$2TP\",\n",
    "    \"ModelB\\n4DP$\\\\times$2TP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# peak memory\n",
    "data_a = {\n",
    "    labels_name_a[0]: [79, 40.95, 50.12],  # modela 8DP\n",
    "    labels_name_a[1]: [47, 44.24, 41.74],  # modela 8TP\n",
    "    labels_name_a[2]: [65.66, 59.47, 69.75],  # modelb 8TP\n",
    "    labels_name_a[3]: [50, 40.94, 54.22],  # modela 2DP 4TP\n",
    "    labels_name_a[4]: [64.75, 56.42, 0],  # modela 2DP 8TP\n",
    "    labels_name_a[5]: [60, 40.97, 55.75],  # modela 4DP 2TP\n",
    "    labels_name_a[6]: [-1, 59.32, 64.60],  # modelb 4DP 2TP\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"Megatron-LM\", \"XLA\", \"DLRover-Lynx\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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 = 3\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": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(13.333333333333346, 0.5, 'Peak Memory (GB)')"
      ]
     },
     "execution_count": 7,
     "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",
    "    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",
    "        if value == -1:\n",
    "            ax.text(\n",
    "                pos,\n",
    "                1,\n",
    "                \"$\\\\times$OOM\",\n",
    "                rotation=90,\n",
    "                ha=\"center\",\n",
    "                va=\"bottom\",\n",
    "                color=\"red\",\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, 85)\n",
    "ax.set_yticks([0, 40, 80])\n",
    "ax.set_yticklabels([\"0\", \"40\", \"80\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax.tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize, pad=1)\n",
    "ax.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax.set_ylabel(\"Peak Memory (GB)\", fontsize=g_label_fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fe2ffca0740>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.legend(\n",
    "    ncol=3,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    bbox_to_anchor=(0.5, 1.),\n",
    "    fontsize=g_label_fontsize,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 4200x1050 with 1 Axes>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"end_to_end_mem.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
}