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]: [76, 64.92, 71.72],  # 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": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f411e2d3410>"
      ]
     },
     "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",
    "    fontsize=g_label_fontsize,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zhjkDoD2ZNcwaZg2zBkBHMHOYOVKbOfyuBkDnURsAQLvaZ599Yueddy772gUXXNAmz1j1Pv/1X/8V3bp1a5P7NmXOnDkxZsyYOOqoo+Kf//xnRESMHj06fvazn8W9994bd955Z1x88cUxatSoBu974YUX4pRTToldd901Zs+e3eo6Lr/88hg2bFjcddddURRF1NTUxAEHHBBXXXVVTJw4MW655Zb4yle+EgMGDIiIiKeffjoOOOCAuPXWW1v97IiIhQsXxgknnBAf+9jH4qGHHorNNtssTj/99Lj99ttj0qRJceONN8b/+3//L9ZZZ50G75s8eXKMGjUqrrzyyjapoz1deumlKz7/j//4j0avn3zyyWXf9/bbb8fNN9/cbnUBsJJZYyWzRolZA4D2YOZYycxRktLMUak5c+bELbfcUva1LbbYIvbff/8OrgggP2aMlcwYJSnNGM41ADo3c8ZK5owScwYAbcmssZJZo8SsAUB7MHOsZOYoSWnmqJTf1QBooSouqQCArDS1xbEoiuKWW25pcpvd6t/bUs8880zRrVu3IiKKgQMHFvPnz2+yrlU/Kt3iOH369GK99dZbcZ9NN920mDhxYpPfP3HixGLTTTctu1n4/vvvr6iGoiiK0047rcH9Bg0aVEyZMqXs97777rvF5z73ubVuV2yJt956q9h1112LiChqamqKr3/9601uSn7yySeLYcOGlX3md7/73RY9tyM3R0+ZMmXFM7bbbrti+fLlZb/vox/9aNlsu+yyS7vUBdBVmTXKM2uYNQBoW2aO8swcnXfmaK//SsWyZcuK/fbbr8m/zldddVWr7g/Q1ZgxyjNjdN4ZY22cawB0HuaM8swZ5gwA2oZZozyzhlkDgLZl5ijPzNF5Zw6/qwHQeVgUAQBtZE0/nC9durQYPHhw2R9UDjzwwFY99z//8z9X3Ouss85aY12t/eH8kUceKQYMGLDiHuuvv34xe/bstb5vzpw5xWabbdaohr59+xYzZsxocR3f+c53Gtxn6623LubMmbPW9/3Xf/1Xm/xwvnjx4mL33Xdf8b5rr712re955513Gryn/qOmpqb43e9+1+xnd+S/EPjUpz614hn//d//3eT33XrrrU3+NX3ggQfapTaArsis0TSzhlkDgLZj5miamaNzzhzt8csHixYtKo4++ugm/xrvv//+Tf7iJADlmTGaZsbonDPG2jjXAOg8zBlNM2eYMwBoPbNG08waZg0A2o6Zo2lmjs45c/hdDYDOw6IIAGgja/rhvCiK4qc//WmTP7DMmjWrome++eabRd++fYuIKHr06FG8/PLLa6yrNT+cz5s3r9huu+0a3OOmm25q9vtnzJhR1NXVNapj8803L956661m3+fuu+8uampqVry/rq6uePDBB5v13sWLFxc777xzq384P+OMM1a859RTT232+/75z38WPXv2bPTc9ddfv3j33XebdY+O+hcCL7zwwoq/X/369SveeeedJr938eLFxSabbNJmh0AAlGfWWDOzhlkDgLZh5lgzM0fnmzna+pcPpk6dusa/vrvttluzcwKwkhljzcwYnW/GWBPnGgCdizljzcwZ5gwAWsessWZmDbMGAG3DzLFmZo7ON3P4XQ2AzqM2AIAOccIJJ8TAgQPLvnb++edXdM8rr7wy5s+fHxERRx99dGyyySYV17c2X/va1+LJJ59c8fWwYcPiyCOPbPb7hw8fHieffHKj6y+++GKceuqpzbrHu+++G1/84hejKIoGdY0cObJZ7+/evXuce+65zSu4CZMmTYoLL7wwIiLWX3/9+Pa3v93s926//fbx2c9+ttH1N954I6644opW1dXWrrjiili6dGlERBx77LHRr1+/Jr+3e/fu8fnPf77sa7/61a/izTffbJcaAWjIrGHWMGsA0BHMHGaOVGaOF198MW677baYPn16PP/88/HOO+/EkiVLoiiKWLZsWbz33nvxyiuvxIwZM+K2226Lr3/967HjjjvG6NGjY8aMGWXvecIJJ8SUKVOib9++HZwGIH9mDDNGKjNGhHMNgNSYM8wZ5gwA2pNZw6xh1gCgI5g5zBypzBx+VwOg41kUAQAdpG/fvvGlL32p7Gu33nprPP/88y263+LFi+OSSy6JiIiampo47bTTWl1jU2bNmhU///nPG1z7/Oc/HzU1NS26z7nnnhsbbbRRo+vXXnttTJ48ea3vP+uss+KFF15Y8fU666wTX/3qV1tUw0EHHRSDBw9u0XtW9e1vf3vF4cBnP/vZ6N+/f4vev9tuu5W9ftlll1VcU1tbvHhxXHPNNRFR+mfrlFNOWet7TjrppOjWrVuj6wsXLoxrr722zWsEoDGzhlkjwqwBQPszc5g5ItKYOZ566qk44ogjYuTIkTFo0KAYMGBArLPOOlFbWxt1dXXRp0+f2HTTTWOXXXaJI444In784x/HP/7xj7L3Gj16dNx///3x85//PHr27NnBSQC6BjOGGSMijRnDuQZAeswZ5owIcwYA7cesYdaIMGsA0P7MHGaOiDRmDr+rAdDxLIoAgA70H//xH9GjR49G15csWRIXX3xxi+510003xcsvvxwREePGjYsddtihTWos59xzz41ly5Y1uHbooYe2+D4DBgyIL3zhC2VfO++889b43ieffDIuv/zyBtcOP/zw2HDDDVtUQ21tbey1114tek+9GTNmxP3337/i649//OMtvsdmm21W9vqcOXPiqaeeqqiutvbrX/86Xn311YiIGDt2bGy//fZrfc/mm28ehxxySNnXrrzyygabNwFoP2YNs4ZZA4COYOYwc6Qwc7SFbt26xZlnnhk33nhj7LHHHtUuByB7ZgwzRgozhnMNgDSZM8wZ5gwA2pNZw6xh1gCgI5g5zBwpzBxtwe9qALSMRREA0IE22WSTOProo8u+ds0118Tbb7/d7HtddNFFKz4/44wzWltak5577rm44447GlzbdNNNY9CgQRXdr6n8EydObHITYETEz372s1i+fHmDa5X8cBwRsdNOO1X0vtUPB3bccccW36NPnz5NvjZ16tQW36891G8HjSgdKDXXySefXPb6U089FRMnTmx1XQCsnVnDrGHWAKAjmDnMHCnMHNtss03ceuut8cc//jHuu+++FR9Tp06NCRMmxG9+85u45JJL4rTTTovRo0eX/a9PLFu2LH784x/HoEGDYvfdd4+rr746Fi1aVIU0AF2DGcOMkcKM4VwDIE3mDHOGOQOA9mTWMGuYNQDoCGYOM0cKM4ff1QDoeBZFAEAHO+2006KmpqbR9fnz5zf64a8pv//971f8ILvbbrvFRz/60TatcVXXX399ow2OrdkYOWTIkNh1113LvvbrX/+67PV58+bFdddd1+j6yJEjK6phvfXWq+h9f/rTnxp8PWjQoKipqWnRx3777dfk/V988cWK6mpL06dPjwcffDAiSj+kH3jggc1+77777tvklunm/rMNQOuZNcwaTTFrANCWzBxmjqZ0hpkjImKLLbaIz3zmM7HvvvvGnnvuueLjox/9aOy///7xyU9+Mk455ZS48MIL489//nO89dZb8atf/Sr22Wefsvd74IEH4qSTTortt9++0S+yANB2zBhmjKZ0hhnDuQZA2swZ5oymmDMAaAtmDbNGU8waALQlM4eZoymdYeaI8LsaANVgUQQAdLAddtghDj744LKv/exnP4uFCxeu9R4XXnjhis9PP/30NqutnDvvvLPRtS222KJV99x7773LXp8yZUrZ63fffXfMnz+/wbW+ffvGdttt16o6WuLll1+OZ599tl2f8frrr7fr/Ztj1a3Rp5xyStTWtmxc/PKXv1z2+j333BPPP/98q2oDoHnMGmaNppg1AGhLZg4zR1M6w8xRiZ49e8YRRxwRf/rTn2LSpEmxzTbblP2+OXPmxCc/+ck4++yzO7hCgK7BjGHGaEpnmDGcawCkzZxhzmiKOQOAtmDWMGs0xawBQFsyc5g5mtIZZo5K+F0NgNarq3YBANAVnXHGGfG73/2u0fW5c+fG9ddfHyeddFKT750xY0ZMmjQpIkqbfQ877LB2q3PevHkxY8aMRtf79evXqvsOHz687PUHHnggli5dGnV1DUeUcj+0b7DBBmW3YbaXadOmNbo2efLkRrW2xiabbNJm96rEa6+9Fr/61a8iIqJPnz5x/PHHt/gexx57bJx11lmxYMGCBteXLVsWV111VXz/+99vk1oBWDOzhlmjHLMGAG3NzGHmKKfaM0dbGDNmTDz88MNx+OGHx8SJE8t+zw9/+MPYYIMN4r/+6786uDqA/JkxzBjlVHvGcK4BkAdzhjmjHHMGAG3FrGHWKMesAUBbM3OYOcqp9szRFvyuBkBlLIoAgCrYc889Y/fdd4+//vWvjV676KKL4vOf/3yTG3tX3eB46qmntnizb0s8/PDDURRFo+s9evRo1X2b+uF80aJF8dprr8Wmm27a4Hq5H84HDBjQqhpaqtzW4x133DE22GCDDq2jPV1zzTWxaNGiiIg45phjKvprPGDAgPjc5z4XV199daPXfv7zn8e3v/3t6N69e6trBWDNzBpmjc7IrAGQHzOHmSNnffv2jTvvvDNGjx4dDz30UNnvOf3002P06NGxyy67dHB1AHkzY5gxOiPnGgB5MGeYMzojcwZAPswaZo3OyKwBkB8zh5kjZ35XA6Dl2q+bAwBrdMYZZ5S9/uSTT8Zvf/vbsq8999xzcdttt0VEaYthJZt9W+LJJ58se/39999v1X232267Jjcwvv766w2+XrhwYTz11FONvq+1myRb6q233mp0bd68eR1aQ3tatmxZXHnllSu+vuKKK6Kmpqaij3L/MiCitKX0N7/5TUdFAujyzBpmjc7ErAGQLzOHmSNnPXv2jBtuuKHJ/4rH8uXL47TTTuvgqgC6BjOGGaMzca4BkBdzhjmjMzFnAOTHrGHW6EzMGgD5MnOYOXLmdzUAWsaiCACokk984hOx7bbbln3tggsuKHv9pz/9aSxdujQiIr785S9Hr1692q2+iIi333677PX58+e36r61tbVN/nD9zjvvNPj6tddeK/t97733XqtqaKlyP5w3VVuK7rzzzrKbKtva5Zdf3u7PAKDErGHW6EzMGgD5MnOYOXK3/fbbx//7f/+vydf//Oc/xxNPPNGBFQF0DWYMM0Zn4lwDIC/mDHNGZ2LOAMiPWcOs0ZmYNQDyZeYwc+TO72oANF/5tToAQLurra2N0047Lb70pS81eu2BBx6IP//5z7HXXnutuDZv3rz4+c9/HhGlDXmnnHJKu9e4ePHistdX/wG6Ev379y97n9V/aF99q2Nb1tAS5Q4DZs6cGbvvvnuH1tFeLrnkkhWfX3311TF06NBW3W/KlCnxzW9+s9H1qVOnxj/+8Y/44Ac/2Kr7A7B2Zg2zRmdi1gDIl5nDzNEVnHDCCXHdddc1+fpdd90V22+/fccVBNAFmDHMGJ2Jcw2AvJgzzBmdiTkDID9mDbNGZ2LWAMiXmcPM0RX4XQ2A5rEoAgCq6Nhjj41vfetbZbcBnn/++Q1+OL/qqqvi3XffjYiI4447LjbccMN2r2/gwIFlrz/zzDOtvveAAQPihRdeaHR9/fXXb/D1+++/X/b9b775ZqtraIn+/fs3uvbggw+WPVxJzT/+8Y+YMmVKREQMHTo0Pv/5z7f6nrvsskv85Cc/Kbv98vLLL4/LLrus1c8AYO3MGmaNzsCsAZA/M4eZI3ejRo2K3r17N/lfFXnsscc6uCKArsGMYcboDJxrAOTJnGHO6AzMGQD5MmuYNToDswZA/swcZo7c+V0NgOaprXYBANCV9erVq8ltjL///e/j0UcfjYiIJUuWxM9+9rOIKG1/PPXUUzukvtV/UK43e/bsWLZsWavu3a1bt0bXBgwYEJtvvnmDa00dELz55pvxyiuvtKqGllhvvfUaXbvvvvs67Pnt6dJLL13x+cknn9wm9+zVq1ccd9xxZV+74YYbYv78+W3yHADWzKzRkFmjOswaAPkzczRk5shPt27dYtttt23y9Y78ewjQlZgxGjJjVIdzDYA8mTMaMmdUhzkDIF9mjYbMGtVh1gDIn5mjITNHfvyuBkDzWBQBAFV28sknR+/evRtdL4oiLrjggoiIuOWWW+LFF1+MiIhDDz00tttuuw6pbciQIWWvL1q0KJ566qlW3XvBggWNrn34wx9udK2pA4KIiL/97W+tqqElNthgg0bXnn766RUbl1vrySefjKVLl7bJvVpi3rx5ccMNN0RERL9+/eKYY45ps3t/6UtfipqamkbX33333bjxxhvb7DkArJlZYyWzhlkDgPZj5ljJzNHxM0dH6NOnT5OvlfslFADahhljJTOGcw0A2pY5YyVzhjkDgLZn1ljJrGHWAKD9mDlWMnP4XQ2ArsqiCACosvXXXz+OP/74sq/dcsst8fzzz8eFF1644toZZ5zRUaXFhz70oRgwYEDZ1yZNmtSqe5f74Xz//fdvdG399dePXr16lb3H1KlTW1VDS5Q7OIiIuOqqq9rk/ieccEJ897vfbZN7tcS111674u/FscceG/369Wuze2+33Xax7777ln3tiiuuaLPnALBmZo2VzBpmDQDaj5ljJTNHx88cHWHu3LlNvrbZZpt1YCUAXYsZYyUzhnMNANqWOWMlc4Y5A4C2Z9ZYyaxh1gCg/Zg5VjJz+F0NgK7KoggA6AROPfXUstvslixZEp/+9Kdj1qxZERGxxx57xKhRozqsrtra2vjoRz9a9rV77rmn4vsuXbo03njjjUbXDz744EbXunXrFrvttlvZ+9x4442xbNmyiusoV1dTdt5557LbNm+77bZ44IEHWvXchx9+OO67777YcccdW3WfliqKIi6//PKIiKipqYmTTz65zZ/xpS99qez1v//973H//fe3+fMAKM+sUWLWMGsA0L7MHCVmjo6dOTrCggULVvwXVsrZfffdO7AagK7HjFFixnCuAUDbM2eUmDPMGQC0D7NGiVnDrAFA+zJzlJg5/K4GQFdlUQQAdAL/9m//FocddljZ11b9we/000/vqJJWOO6448penzRpUrzzzjsV3fPpp5+OJUuWNLi22267NfnD6ejRo8tef+mll+J3v/tdRTWUs3jx4iZf6969e9mDkWXLlsW///u/x6JFiyp+7te//vXo1q1b7LXXXhXfoxITJkyIJ598MiIi9t1339hhhx3a/BmHHHJIk5sabY8G6DhmDbOGWQOAjmDmMHNUY+boCPfcc0+Tf226d+8eBx54YAdXBNC1mDHMGM41AGgv5gxzhjkDgPZk1jBrmDUA6AhmDjOH39UA6NosigCATuKMM85Y4+tDhgyJQw45pIOqWenQQw+NzTffvNH1999/P66++uqK7vmPf/yj0bUvf/nLTX5/UwcXERGnnXZaLFiwoKI6Vvf++++v8fXjjz++7PXHHnssjjvuuIo2St5yyy3xhz/8IcaNGxcbb7xxi9/fGj/5yU9WfN4eW6MjIurq6po84Ln99tvj5ZdfbpfnAtCYWcOsYdYAoCOYOcwcHT1zLF++vF3vXxRFXHzxxU2+/qlPfSo22WSTdq0BADOGGcO5BgDtx5xhzjBnANCezBpmDbMGAB3BzGHm8LsaAF2XRREA0EZW3QC4pm2ATRk5cuQat/iddtppUVvb8tbdVC3NrbGuri6+/vWvl33tZz/7WSxdurTFNd1zzz0Nvt5hhx3ic5/7XJPfv9NOO8W+++5b9rVnnnkmTjvttBbXUM7bb7+9xtePOOKI2GKLLcq+duutt8YxxxzTaDvlmjz44INx0kknRUTEKaec0qz3FEXRrGtr88gjj8Qf//jHiIjYeOONY9y4cS2+R3MdffTRZa8vXrw4Lr300nZ7LkBuzBrNZ9YoMWuYNQAqYeZoPjNHSTVnjoho1X9ZozmuuOKK+Otf/1r2tZ49e8YPfvCDdn0+QC7MGM1nxihxruFcA6C5zBnNZ84oMWeYMwBawqzRfGaNErOGWQOgEmaO5jNzlPhdDb+rAVDPoggAaCPvvfde2c9boqlNjhtttFEcc8wxra6rOdfL+fKXvxwjRoxodP3555+Pyy+/vEX1LFy4MH73u981uHb++edHt27d1vi+M888s8nXrrrqqvjmN7/ZrOe//fbbcc0115R97e9///sa39u9e/cmDyoiIm6++eYYOXJkzJw5c6113HTTTbHffvvFu+++G+PGjYv99ttvre+JKH+o0pIDgXrf+ta3Vnx+6KGHRl1dXYvv0Vw77LBDbL/99mVfu+yyy+LNN99st2cD5MSs0TxmjRKzRolZA6DlzBzNY+YoqfbMERHt2uvvvPPO+MpXvtLk6+edd15svfXW7fZ8gJyYMZrHjFFS7RnDuQZAWswZzWPOKDFnlJgzAJrPrNE8Zo0Ss0aJWQOg5cwczWPmKKn2zBHhdzUAOpUCAGgTu+66axERRUQUl19+eUX3WL58efGBD3xgxX3qP7773e+2SV2rfowcObJF95k5c2bRo0ePRvfp169f8eSTTzb7Pt/73vcavP/EE09s9ntPOOGEslnqP4455phi3rx5Tb7/kUceKXbccccm37/33nsXS5cuXfH9r776aqN7LF++vDjggAPWWEe3bt2KAw44oLjpppuKxx9/vJg/f36xYMGC4p///Gdx9dVXN/h70rdv3+Kpp55q9l+D/fffv9Hzhg4d2uz3F0VR3HfffQ3e/8tf/rJF76/Ecccd1+Rfr9NOO63dnw+QA7NG85g1zBpmDYDWMXM0j5mj+jNHvf32269s/XvttVdF9yuKoli6dGnxox/9qFhnnXWa/OtzwgknVHx/gK7IjNE8ZozqzxjONQDSY85oHnOGOcOcAVAZs0bzmDXMGmYNgNYxczSPmaP6M0c9v6sB0HlYFAEAbWDx4sVFnz59Vvzw8cUvfrHie/3iF79o8INM7969i9dff71N6lr1o0+fPsXixYtbdL//+Z//KXuvoUOHFq+99tpa33/fffcVvXr1WvG+j3zkI8WCBQua/fz58+cXQ4YMWeMPxptuumnxrW99q3j44YeLefPmFW+++WYxderU4sQTTyzq6upWHEw09f5tttmmOPDAA4vBgwcXO+ywQ9k65s6dW2y22WZrrKO5H+PHj292/qIoiq222qrRPXr16tXsv5fvv/9+scMOOzR4/80339yiGirxn//5n03+Nairqyv+9re/tXsNACkza5g1zBprZtYAaBtmDjNHKjNHvQULFhT9+vUrW9OoUaOKJUuWtOh+77//fvHLX/6y2HnnndeY97TTTiuWL1/eonsDdGVmDDNGKjOGcw2A9JgzzBnmjDUzZwC0jlnDrGHWWDOzBkDbMHOYOVKZOer5XQ2AzsWiCABoAz/72c8a/ACy0UYbFW+99VZF91q0aFGx6aabrrjXKaecUnFdl1xyyRp/ULr22mtbfM+LLrqo7L3+7d/+rXjggQeafN+tt95a9O/fv8EP5mvauNiUp59+uth8880r/mH47LPPLq699to1fk/Pnj2Lk046aY3bKf/xj38UG2+8cat+MD/vvPNalH3y5MlN3uvKK69c6/uXLl1aHHHEEY3eO2bMmBb/MN4S5f4lxOofgwYNKv71r3+1Ww0AqTNrmDXMGk0zawC0HTOHmSOFmaPe8uXLi5NOOmmNtfXo0aP48Ic/XBx99NHFj370o+Lqq68ufv3rXxd/+MMfikmTJhW//e1vi+uuu64455xziv33378YMGDAGu+31VZbFb///e9blBcAM4YZI40Zw7kGQJrMGeYMc0bTzBkArWfWMGuYNZpm1gBoO2YOM0cKM0c9v6sB0PlYFAEArfDKK68U3/rWt4pu3bo1+mFkxx13LCZOnFjRQeuPfvSjIiKKbt26VXRIOnfu3OI73/nOiq2FTX2ss846xY9+9KMWb4m8/fbbG/ygXf9RW1tbfPzjHy+uvPLK4t577y3uvvvu4uKLLy5GjRq14ntqamqKU089tcVbB1f13HP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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",
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