LLAMA2_13b_fine-tuning.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"2, 3\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Retrieving notices: ...working... done\n",
      "Collecting package metadata (current_repodata.json): / WARNING conda.models.version:get_matcher(556): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.7.1.*, but conda is ignoring the .* and treating it as 1.7.1\n",
      "done\n",
      "Solving environment: unsuccessful initial attempt using frozen solve. Retrying with flexible solve.\n",
      "Collecting package metadata (repodata.json): | ^C\n",
      "^C\n",
      "\u001b[31mERROR: Operation cancelled by user\u001b[0m\u001b[31m\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "!conda install -c conda-forge numpy=1.23.1\n",
    "!pip install -q  torch peft==0.4.0 bitsandbytes==0.40.2 transformers==4.31.0 trl==0.4.7 accelerate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: transformers in ./anaconda3/lib/python3.8/site-packages (4.36.0.dev0)\n",
      "Requirement already satisfied: peft in ./anaconda3/lib/python3.8/site-packages (0.7.0.dev0)\n",
      "Requirement already satisfied: bitsandbytes in ./anaconda3/lib/python3.8/site-packages (0.40.2)\n",
      "Requirement already satisfied: filelock in ./anaconda3/lib/python3.8/site-packages (from transformers) (3.12.4)\n",
      "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in ./anaconda3/lib/python3.8/site-packages (from transformers) (0.17.3)\n",
      "Requirement already satisfied: numpy>=1.17 in ./anaconda3/lib/python3.8/site-packages (from transformers) (1.24.4)\n",
      "Requirement already satisfied: packaging>=20.0 in ./anaconda3/lib/python3.8/site-packages (from transformers) (23.1)\n",
      "Requirement already satisfied: pyyaml>=5.1 in ./anaconda3/lib/python3.8/site-packages (from transformers) (6.0.1)\n",
      "Requirement already satisfied: regex!=2019.12.17 in ./anaconda3/lib/python3.8/site-packages (from transformers) (2023.10.3)\n",
      "Requirement already satisfied: requests in ./anaconda3/lib/python3.8/site-packages (from transformers) (2.31.0)\n",
      "Requirement already satisfied: tokenizers<0.15,>=0.14 in ./anaconda3/lib/python3.8/site-packages (from transformers) (0.14.1)\n",
      "Requirement already satisfied: safetensors>=0.3.1 in ./anaconda3/lib/python3.8/site-packages (from transformers) (0.4.0)\n",
      "Requirement already satisfied: tqdm>=4.27 in ./anaconda3/lib/python3.8/site-packages (from transformers) (4.65.0)\n",
      "Requirement already satisfied: psutil in ./anaconda3/lib/python3.8/site-packages (from peft) (5.9.5)\n",
      "Requirement already satisfied: torch>=1.13.0 in ./anaconda3/lib/python3.8/site-packages (from peft) (2.1.0)\n",
      "Requirement already satisfied: accelerate>=0.21.0 in ./anaconda3/lib/python3.8/site-packages (from peft) (0.23.0)\n",
      "Requirement already satisfied: fsspec in ./anaconda3/lib/python3.8/site-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (2023.9.2)\n",
      "Requirement already satisfied: typing-extensions>=3.7.4.3 in ./anaconda3/lib/python3.8/site-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (4.8.0)\n",
      "Requirement already satisfied: sympy in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (1.12)\n",
      "Requirement already satisfied: networkx in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (2.8.8)\n",
      "Requirement already satisfied: jinja2 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (3.1.2)\n",
      "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (12.1.105)\n",
      "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (12.1.105)\n",
      "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (12.1.105)\n",
      "Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (8.9.2.26)\n",
      "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (12.1.3.1)\n",
      "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (11.0.2.54)\n",
      "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (10.3.2.106)\n",
      "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (11.4.5.107)\n",
      "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (12.1.0.106)\n",
      "Requirement already satisfied: nvidia-nccl-cu12==2.18.1 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (2.18.1)\n",
      "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (12.1.105)\n",
      "Requirement already satisfied: triton==2.1.0 in ./anaconda3/lib/python3.8/site-packages (from torch>=1.13.0->peft) (2.1.0)\n",
      "Requirement already satisfied: nvidia-nvjitlink-cu12 in ./anaconda3/lib/python3.8/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.13.0->peft) (12.2.140)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in ./anaconda3/lib/python3.8/site-packages (from requests->transformers) (3.3.0)\n",
      "Requirement already satisfied: idna<4,>=2.5 in ./anaconda3/lib/python3.8/site-packages (from requests->transformers) (3.4)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in ./anaconda3/lib/python3.8/site-packages (from requests->transformers) (2.0.6)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in ./anaconda3/lib/python3.8/site-packages (from requests->transformers) (2023.7.22)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in ./anaconda3/lib/python3.8/site-packages (from jinja2->torch>=1.13.0->peft) (2.1.3)\n",
      "Requirement already satisfied: mpmath>=0.19 in ./anaconda3/lib/python3.8/site-packages (from sympy->torch>=1.13.0->peft) (1.3.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install transformers peft bitsandbytes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: protobuf==3.20.* in ./anaconda3/lib/python3.8/site-packages (3.20.3)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install protobuf==3.20.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-11-09 18:48:39.815198: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /path/to/anaconda/envs/myenv/lib:/usr/local/cuda/lib64:/usr/local/cuda-11.7/lib64::/usr/local/cuda/lib64:/usr/local/cuda-11.7/lib64\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/trl/trainer/ppo_config.py:141: UserWarning: The `optimize_cuda_cache` arguement will be deprecated soon, please use `optimize_device_cache` instead.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "from datasets import load_dataset\n",
    "from transformers import (\n",
    "    AutoModelForCausalLM,\n",
    "    AutoTokenizer,\n",
    "    BitsAndBytesConfig,\n",
    "    TrainingArguments,\n",
    "    pipeline\n",
    ")\n",
    "from peft import LoraConfig\n",
    "from trl import SFTTrainer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b1feb73e7d9340d8a7c3ce0e5577ab1b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"2,3\"\n",
    "# Dataset\n",
    "data_name = \"aeoebe/josun\"\n",
    "training_data = load_dataset(data_name, split=\"train\", on_bad_lines='skip')\n",
    "\n",
    "# Model and tokenizer names\n",
    "base_model_name = \"meta-llama/Llama-2-13b-chat-hf\"\n",
    "refined_model = \"ko-llama-2-13b-josun-finetune\" #You can give it your own name\n",
    "\n",
    "# Tokenizer\n",
    "llama_tokenizer = AutoTokenizer.from_pretrained(base_model_name, trust_remote_code=True)\n",
    "llama_tokenizer.pad_token = llama_tokenizer.eos_token\n",
    "llama_tokenizer.padding_side = \"right\"  # Fix for fp16\n",
    "\n",
    "# Quantization Config\n",
    "quant_config = BitsAndBytesConfig(\n",
    "    load_in_4bit=True,\n",
    "    bnb_4bit_quant_type=\"nf4\",\n",
    "    bnb_4bit_compute_dtype=torch.float16,\n",
    "    bnb_4bit_use_double_quant=False\n",
    ")\n",
    "\n",
    "# Model\n",
    "base_model = AutoModelForCausalLM.from_pretrained(\n",
    "    base_model_name,\n",
    "    quantization_config=quant_config,\n",
    "    device_map={\"\": 0}\n",
    ")\n",
    "base_model.config.use_cache = False\n",
    "base_model.config.pretraining_tp = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/trl/trainer/sft_trainer.py:194: UserWarning: You didn't pass a `max_seq_length` argument to the SFTTrainer, this will default to 1024\n",
      "  warnings.warn(\n",
      "You are using 8-bit optimizers with a version of `bitsandbytes` < 0.41.1. It is recommended to update your version as a major bug has been fixed in 8-bit optimizers.\n",
      "You're using a LlamaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "      \n",
       "      <progress value='47519' max='47519' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      [47519/47519 16:13:24, Epoch 1/1]\n",
       "    </div>\n",
       "    <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       " <tr style=\"text-align: left;\">\n",
       "      <th>Step</th>\n",
       "      <th>Training Loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>2.247000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>1.942000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75</td>\n",
       "      <td>1.764100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>100</td>\n",
       "      <td>1.731700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>125</td>\n",
       "      <td>1.717000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150</td>\n",
       "      <td>1.634500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>175</td>\n",
       "      <td>1.622300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>200</td>\n",
       "      <td>1.534000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>225</td>\n",
       "      <td>1.615100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>250</td>\n",
       "      <td>1.508100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>275</td>\n",
       "      <td>1.591300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>300</td>\n",
       "      <td>1.497000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>325</td>\n",
       "      <td>1.563400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>350</td>\n",
       "      <td>1.472400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>375</td>\n",
       "      <td>1.566700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>400</td>\n",
       "      <td>1.412900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>425</td>\n",
       "      <td>1.520200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>450</td>\n",
       "      <td>1.404800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>475</td>\n",
       "      <td>1.502200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>500</td>\n",
       "      <td>1.406200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>525</td>\n",
       "      <td>1.533400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>550</td>\n",
       "      <td>1.398500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>575</td>\n",
       "      <td>1.572300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>600</td>\n",
       "      <td>1.352400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>625</td>\n",
       "      <td>1.523700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>650</td>\n",
       "      <td>1.365600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>675</td>\n",
       "      <td>1.529000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>700</td>\n",
       "      <td>1.375100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>725</td>\n",
       "      <td>1.528800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>750</td>\n",
       "      <td>1.322300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>775</td>\n",
       "      <td>1.496400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>800</td>\n",
       "      <td>1.314600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>825</td>\n",
       "      <td>1.522700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>850</td>\n",
       "      <td>1.313500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>875</td>\n",
       "      <td>1.498500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>900</td>\n",
       "      <td>1.345800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>925</td>\n",
       "      <td>1.484000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>950</td>\n",
       "      <td>1.292800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>975</td>\n",
       "      <td>1.527100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1000</td>\n",
       "      <td>1.285900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1025</td>\n",
       "      <td>1.457900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1050</td>\n",
       "      <td>1.328700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1075</td>\n",
       "      <td>1.500200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1100</td>\n",
       "      <td>1.334100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1125</td>\n",
       "      <td>1.445000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1150</td>\n",
       "      <td>1.301300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1175</td>\n",
       "      <td>1.494400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1200</td>\n",
       "      <td>1.311300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1225</td>\n",
       "      <td>1.492800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1250</td>\n",
       "      <td>1.273000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1275</td>\n",
       "      <td>1.409400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1300</td>\n",
       "      <td>1.226000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1325</td>\n",
       "      <td>1.457600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1350</td>\n",
       "      <td>1.257000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1375</td>\n",
       "      <td>1.462100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1400</td>\n",
       "      <td>1.361600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1425</td>\n",
       "      <td>1.438000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1450</td>\n",
       "      <td>1.226100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1475</td>\n",
       "      <td>1.481500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1500</td>\n",
       "      <td>1.265100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1525</td>\n",
       "      <td>1.463800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1550</td>\n",
       "      <td>1.284300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1575</td>\n",
       "      <td>1.438300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1600</td>\n",
       "      <td>1.197400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1625</td>\n",
       "      <td>1.472600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1650</td>\n",
       "      <td>1.285500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1675</td>\n",
       "      <td>1.467100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1700</td>\n",
       "      <td>1.251600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1725</td>\n",
       "      <td>1.428400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1750</td>\n",
       "      <td>1.244500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1775</td>\n",
       "      <td>1.472200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1800</td>\n",
       "      <td>1.196500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1825</td>\n",
       "      <td>1.455800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1850</td>\n",
       "      <td>1.254200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1875</td>\n",
       "      <td>1.394100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1900</td>\n",
       "      <td>1.301600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1925</td>\n",
       "      <td>1.421500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1950</td>\n",
       "      <td>1.259300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1975</td>\n",
       "      <td>1.432700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2000</td>\n",
       "      <td>1.232800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2025</td>\n",
       "      <td>1.406300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2050</td>\n",
       "      <td>1.235500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2075</td>\n",
       "      <td>1.441800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2100</td>\n",
       "      <td>1.249000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2125</td>\n",
       "      <td>1.382300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2150</td>\n",
       "      <td>1.238900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2175</td>\n",
       "      <td>1.458200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2200</td>\n",
       "      <td>1.295800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2225</td>\n",
       "      <td>1.409700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2250</td>\n",
       "      <td>1.225300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2275</td>\n",
       "      <td>1.385000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2300</td>\n",
       "      <td>1.217700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2325</td>\n",
       "      <td>1.413600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2350</td>\n",
       "      <td>1.166700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2375</td>\n",
       "      <td>1.385700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2400</td>\n",
       "      <td>1.214100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2425</td>\n",
       "      <td>1.423700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2450</td>\n",
       "      <td>1.216500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2475</td>\n",
       "      <td>1.406900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2500</td>\n",
       "      <td>1.221100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2525</td>\n",
       "      <td>1.403500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2550</td>\n",
       "      <td>1.236000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2575</td>\n",
       "      <td>1.424400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2600</td>\n",
       "      <td>1.194600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2625</td>\n",
       "      <td>1.415600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2650</td>\n",
       "      <td>1.250300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2675</td>\n",
       "      <td>1.375300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2700</td>\n",
       "      <td>1.218900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2725</td>\n",
       "      <td>1.434200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2750</td>\n",
       "      <td>1.204200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2775</td>\n",
       "      <td>1.412200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2800</td>\n",
       "      <td>1.285500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2825</td>\n",
       "      <td>1.414600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2850</td>\n",
       "      <td>1.157600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2875</td>\n",
       "      <td>1.413100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2900</td>\n",
       "      <td>1.194300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2925</td>\n",
       "      <td>1.407100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2950</td>\n",
       "      <td>1.239900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2975</td>\n",
       "      <td>1.393500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3000</td>\n",
       "      <td>1.223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3025</td>\n",
       "      <td>1.398500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3050</td>\n",
       "      <td>1.236900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3075</td>\n",
       "      <td>1.376300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3100</td>\n",
       "      <td>1.206700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3125</td>\n",
       "      <td>1.368100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3150</td>\n",
       "      <td>1.143300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3175</td>\n",
       "      <td>1.420100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3200</td>\n",
       "      <td>1.195000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3225</td>\n",
       "      <td>1.385000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3250</td>\n",
       "      <td>1.245000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3275</td>\n",
       "      <td>1.386200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3300</td>\n",
       "      <td>1.179300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3325</td>\n",
       "      <td>1.345000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3350</td>\n",
       "      <td>1.195900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3375</td>\n",
       "      <td>1.393800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3400</td>\n",
       "      <td>1.170000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3425</td>\n",
       "      <td>1.399300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3450</td>\n",
       "      <td>1.202900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3475</td>\n",
       "      <td>1.377800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3500</td>\n",
       "      <td>1.214600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3525</td>\n",
       "      <td>1.362500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3550</td>\n",
       "      <td>1.190200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3575</td>\n",
       "      <td>1.386200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3600</td>\n",
       "      <td>1.193300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3625</td>\n",
       "      <td>1.399000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3650</td>\n",
       "      <td>1.168700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3675</td>\n",
       "      <td>1.318800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3700</td>\n",
       "      <td>1.171100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3725</td>\n",
       "      <td>1.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3750</td>\n",
       "      <td>1.177100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3775</td>\n",
       "      <td>1.408100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3800</td>\n",
       "      <td>1.217200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3825</td>\n",
       "      <td>1.371400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3850</td>\n",
       "      <td>1.147400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3875</td>\n",
       "      <td>1.386500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3900</td>\n",
       "      <td>1.222500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3925</td>\n",
       "      <td>1.343800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3950</td>\n",
       "      <td>1.147600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3975</td>\n",
       "      <td>1.348500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4000</td>\n",
       "      <td>1.162900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4025</td>\n",
       "      <td>1.350900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4050</td>\n",
       "      <td>1.193500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4075</td>\n",
       "      <td>1.360800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4100</td>\n",
       "      <td>1.132600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4125</td>\n",
       "      <td>1.363100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4150</td>\n",
       "      <td>1.183400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4175</td>\n",
       "      <td>1.342400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4200</td>\n",
       "      <td>1.167800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4225</td>\n",
       "      <td>1.351000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4250</td>\n",
       "      <td>1.188900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4275</td>\n",
       "      <td>1.374600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4300</td>\n",
       "      <td>1.136900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4325</td>\n",
       "      <td>1.394500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4350</td>\n",
       "      <td>1.148700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4375</td>\n",
       "      <td>1.329900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4400</td>\n",
       "      <td>1.207700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4425</td>\n",
       "      <td>1.390300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4450</td>\n",
       "      <td>1.144200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4475</td>\n",
       "      <td>1.366700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4500</td>\n",
       "      <td>1.196800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4525</td>\n",
       "      <td>1.334300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4550</td>\n",
       "      <td>1.132900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4575</td>\n",
       "      <td>1.365200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4600</td>\n",
       "      <td>1.172000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4625</td>\n",
       "      <td>1.324900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4650</td>\n",
       "      <td>1.135000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4675</td>\n",
       "      <td>1.374700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4700</td>\n",
       "      <td>1.183100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4725</td>\n",
       "      <td>1.316600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4750</td>\n",
       "      <td>1.161700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4775</td>\n",
       "      <td>1.379300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4800</td>\n",
       "      <td>1.140800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4825</td>\n",
       "      <td>1.319300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4850</td>\n",
       "      <td>1.148200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4875</td>\n",
       "      <td>1.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4900</td>\n",
       "      <td>1.189900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4925</td>\n",
       "      <td>1.293600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4950</td>\n",
       "      <td>1.123600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4975</td>\n",
       "      <td>1.350900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5000</td>\n",
       "      <td>1.146400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5025</td>\n",
       "      <td>1.338800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5050</td>\n",
       "      <td>1.141800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5075</td>\n",
       "      <td>1.333600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5100</td>\n",
       "      <td>1.143300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5125</td>\n",
       "      <td>1.372800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5150</td>\n",
       "      <td>1.215600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5175</td>\n",
       "      <td>1.350800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5200</td>\n",
       "      <td>1.105900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5225</td>\n",
       "      <td>1.356300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5250</td>\n",
       "      <td>1.112800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5275</td>\n",
       "      <td>1.352800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5300</td>\n",
       "      <td>1.153800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5325</td>\n",
       "      <td>1.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5350</td>\n",
       "      <td>1.208300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5375</td>\n",
       "      <td>1.355300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5400</td>\n",
       "      <td>1.160900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5425</td>\n",
       "      <td>1.338600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5450</td>\n",
       "      <td>1.169500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5475</td>\n",
       "      <td>1.306500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5500</td>\n",
       "      <td>1.168100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5525</td>\n",
       "      <td>1.311700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5550</td>\n",
       "      <td>1.170200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5575</td>\n",
       "      <td>1.329400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5600</td>\n",
       "      <td>1.246100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5625</td>\n",
       "      <td>1.329900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5650</td>\n",
       "      <td>1.158500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5675</td>\n",
       "      <td>1.316800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5700</td>\n",
       "      <td>1.162600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5725</td>\n",
       "      <td>1.295100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5750</td>\n",
       "      <td>1.080500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5775</td>\n",
       "      <td>1.342200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5800</td>\n",
       "      <td>1.127100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5825</td>\n",
       "      <td>1.353800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5850</td>\n",
       "      <td>1.148000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5875</td>\n",
       "      <td>1.343000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5900</td>\n",
       "      <td>1.163900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5925</td>\n",
       "      <td>1.339900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5950</td>\n",
       "      <td>1.119100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5975</td>\n",
       "      <td>1.316100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6000</td>\n",
       "      <td>1.136600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6025</td>\n",
       "      <td>1.306800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6050</td>\n",
       "      <td>1.178300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6075</td>\n",
       "      <td>1.312200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6100</td>\n",
       "      <td>1.122400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6125</td>\n",
       "      <td>1.343700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6150</td>\n",
       "      <td>1.162400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6175</td>\n",
       "      <td>1.332300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6200</td>\n",
       "      <td>1.104800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6225</td>\n",
       "      <td>1.316300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6250</td>\n",
       "      <td>1.124900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6275</td>\n",
       "      <td>1.353400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6300</td>\n",
       "      <td>1.128400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6325</td>\n",
       "      <td>1.329900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6350</td>\n",
       "      <td>1.123600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6375</td>\n",
       "      <td>1.378000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6400</td>\n",
       "      <td>1.161100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6425</td>\n",
       "      <td>1.318400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6450</td>\n",
       "      <td>1.072600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6475</td>\n",
       "      <td>1.336900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6500</td>\n",
       "      <td>1.166200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6525</td>\n",
       "      <td>1.332600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6550</td>\n",
       "      <td>1.162000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6575</td>\n",
       "      <td>1.306500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6600</td>\n",
       "      <td>1.173200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6625</td>\n",
       "      <td>1.308500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6650</td>\n",
       "      <td>1.187100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6675</td>\n",
       "      <td>1.339400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6700</td>\n",
       "      <td>1.138400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6725</td>\n",
       "      <td>1.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6750</td>\n",
       "      <td>1.103800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6775</td>\n",
       "      <td>1.282200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6800</td>\n",
       "      <td>1.160500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6825</td>\n",
       "      <td>1.289200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6850</td>\n",
       "      <td>1.154000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6875</td>\n",
       "      <td>1.351100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6900</td>\n",
       "      <td>1.111500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6925</td>\n",
       "      <td>1.325600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6950</td>\n",
       "      <td>1.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6975</td>\n",
       "      <td>1.311500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7000</td>\n",
       "      <td>1.141900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7025</td>\n",
       "      <td>1.277800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7050</td>\n",
       "      <td>1.089500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7075</td>\n",
       "      <td>1.325000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7100</td>\n",
       "      <td>1.160200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7125</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7150</td>\n",
       "      <td>1.127500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7175</td>\n",
       "      <td>1.343100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7200</td>\n",
       "      <td>1.147400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7225</td>\n",
       "      <td>1.359400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7250</td>\n",
       "      <td>1.195200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7275</td>\n",
       "      <td>1.326400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7300</td>\n",
       "      <td>1.095400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7325</td>\n",
       "      <td>1.347900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7350</td>\n",
       "      <td>1.175600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7375</td>\n",
       "      <td>1.271900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7400</td>\n",
       "      <td>1.104800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7425</td>\n",
       "      <td>1.328600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7450</td>\n",
       "      <td>1.133600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7475</td>\n",
       "      <td>1.298900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7500</td>\n",
       "      <td>1.164700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7525</td>\n",
       "      <td>1.324400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7550</td>\n",
       "      <td>1.114900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7575</td>\n",
       "      <td>1.318800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7600</td>\n",
       "      <td>1.101100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7625</td>\n",
       "      <td>1.353100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7650</td>\n",
       "      <td>1.140800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7675</td>\n",
       "      <td>1.313900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7700</td>\n",
       "      <td>1.098200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7725</td>\n",
       "      <td>1.318200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7750</td>\n",
       "      <td>1.131800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7775</td>\n",
       "      <td>1.347900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7800</td>\n",
       "      <td>1.120000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7825</td>\n",
       "      <td>1.324000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7850</td>\n",
       "      <td>1.113100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7875</td>\n",
       "      <td>1.371000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7900</td>\n",
       "      <td>1.099600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7925</td>\n",
       "      <td>1.334300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7950</td>\n",
       "      <td>1.152100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7975</td>\n",
       "      <td>1.290300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8000</td>\n",
       "      <td>1.112100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8025</td>\n",
       "      <td>1.326500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8050</td>\n",
       "      <td>1.115600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8075</td>\n",
       "      <td>1.334400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8100</td>\n",
       "      <td>1.144400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8125</td>\n",
       "      <td>1.337100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8150</td>\n",
       "      <td>1.075700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8175</td>\n",
       "      <td>1.274300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8200</td>\n",
       "      <td>1.129100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8225</td>\n",
       "      <td>1.320800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8250</td>\n",
       "      <td>1.072000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8275</td>\n",
       "      <td>1.336300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8300</td>\n",
       "      <td>1.176200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8325</td>\n",
       "      <td>1.319800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8350</td>\n",
       "      <td>1.132500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8375</td>\n",
       "      <td>1.297200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8400</td>\n",
       "      <td>1.093900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8425</td>\n",
       "      <td>1.322800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8450</td>\n",
       "      <td>1.094200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8475</td>\n",
       "      <td>1.351800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8500</td>\n",
       "      <td>1.141400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8525</td>\n",
       "      <td>1.287100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8550</td>\n",
       "      <td>1.088100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8575</td>\n",
       "      <td>1.276100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8600</td>\n",
       "      <td>1.123500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8625</td>\n",
       "      <td>1.305000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8650</td>\n",
       "      <td>1.016600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8675</td>\n",
       "      <td>1.303800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8700</td>\n",
       "      <td>1.120300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8725</td>\n",
       "      <td>1.265600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8750</td>\n",
       "      <td>1.105100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8775</td>\n",
       "      <td>1.277400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8800</td>\n",
       "      <td>1.138100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8825</td>\n",
       "      <td>1.289900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8850</td>\n",
       "      <td>1.118700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8875</td>\n",
       "      <td>1.333800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8900</td>\n",
       "      <td>1.123000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8925</td>\n",
       "      <td>1.321200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8950</td>\n",
       "      <td>1.122100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8975</td>\n",
       "      <td>1.317800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9000</td>\n",
       "      <td>1.093000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9025</td>\n",
       "      <td>1.342100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9050</td>\n",
       "      <td>1.073100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9075</td>\n",
       "      <td>1.332700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9100</td>\n",
       "      <td>1.155900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9125</td>\n",
       "      <td>1.290300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9150</td>\n",
       "      <td>1.169500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9175</td>\n",
       "      <td>1.290000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9200</td>\n",
       "      <td>1.104400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9225</td>\n",
       "      <td>1.321100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9250</td>\n",
       "      <td>1.018700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9275</td>\n",
       "      <td>1.305400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9300</td>\n",
       "      <td>1.133900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9325</td>\n",
       "      <td>1.283800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9350</td>\n",
       "      <td>1.100600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9375</td>\n",
       "      <td>1.313300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9400</td>\n",
       "      <td>1.106700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9425</td>\n",
       "      <td>1.290000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9450</td>\n",
       "      <td>1.105900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9475</td>\n",
       "      <td>1.329900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9500</td>\n",
       "      <td>1.081400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9525</td>\n",
       "      <td>1.309000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9550</td>\n",
       "      <td>1.158800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9575</td>\n",
       "      <td>1.293600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9600</td>\n",
       "      <td>1.129800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9625</td>\n",
       "      <td>1.297200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9650</td>\n",
       "      <td>1.051800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9675</td>\n",
       "      <td>1.329300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9700</td>\n",
       "      <td>1.170700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9725</td>\n",
       "      <td>1.298400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9750</td>\n",
       "      <td>1.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9775</td>\n",
       "      <td>1.279400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9800</td>\n",
       "      <td>1.067900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9825</td>\n",
       "      <td>1.273900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9850</td>\n",
       "      <td>1.095200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9875</td>\n",
       "      <td>1.320800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9900</td>\n",
       "      <td>1.086100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9925</td>\n",
       "      <td>1.281900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9950</td>\n",
       "      <td>1.087500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9975</td>\n",
       "      <td>1.277500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10000</td>\n",
       "      <td>1.120600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10025</td>\n",
       "      <td>1.323200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10050</td>\n",
       "      <td>1.140500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10075</td>\n",
       "      <td>1.249800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10100</td>\n",
       "      <td>1.064000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10125</td>\n",
       "      <td>1.305900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10150</td>\n",
       "      <td>1.080500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10175</td>\n",
       "      <td>1.296800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10200</td>\n",
       "      <td>1.092700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10225</td>\n",
       "      <td>1.290200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10250</td>\n",
       "      <td>1.067700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10275</td>\n",
       "      <td>1.304500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10300</td>\n",
       "      <td>1.073600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10325</td>\n",
       "      <td>1.301600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10350</td>\n",
       "      <td>1.060400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10375</td>\n",
       "      <td>1.314900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10400</td>\n",
       "      <td>1.093700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10425</td>\n",
       "      <td>1.339800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10450</td>\n",
       "      <td>1.080900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10475</td>\n",
       "      <td>1.305700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10500</td>\n",
       "      <td>1.113700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10525</td>\n",
       "      <td>1.328200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10550</td>\n",
       "      <td>1.077700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10575</td>\n",
       "      <td>1.294600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10600</td>\n",
       "      <td>1.063200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10625</td>\n",
       "      <td>1.360600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10650</td>\n",
       "      <td>1.090800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10675</td>\n",
       "      <td>1.272400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10700</td>\n",
       "      <td>1.116600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10725</td>\n",
       "      <td>1.286600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10750</td>\n",
       "      <td>1.105500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10775</td>\n",
       "      <td>1.305100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10800</td>\n",
       "      <td>1.103400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10825</td>\n",
       "      <td>1.312400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10850</td>\n",
       "      <td>1.047200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10875</td>\n",
       "      <td>1.310100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10900</td>\n",
       "      <td>1.147400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10925</td>\n",
       "      <td>1.293900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10950</td>\n",
       "      <td>1.094900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10975</td>\n",
       "      <td>1.276700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11000</td>\n",
       "      <td>1.109400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11025</td>\n",
       "      <td>1.259200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11050</td>\n",
       "      <td>1.096100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11075</td>\n",
       "      <td>1.299500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11100</td>\n",
       "      <td>1.121900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11125</td>\n",
       "      <td>1.300800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11150</td>\n",
       "      <td>1.057700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11175</td>\n",
       "      <td>1.262700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11200</td>\n",
       "      <td>1.083200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11225</td>\n",
       "      <td>1.240200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11250</td>\n",
       "      <td>1.089800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11275</td>\n",
       "      <td>1.313400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11300</td>\n",
       "      <td>1.139300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11325</td>\n",
       "      <td>1.268500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11350</td>\n",
       "      <td>1.088700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11375</td>\n",
       "      <td>1.270900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11400</td>\n",
       "      <td>1.039000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11425</td>\n",
       "      <td>1.314300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11450</td>\n",
       "      <td>1.058000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11475</td>\n",
       "      <td>1.278900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11500</td>\n",
       "      <td>1.109400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11525</td>\n",
       "      <td>1.264900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11550</td>\n",
       "      <td>1.139300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11575</td>\n",
       "      <td>1.276800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11600</td>\n",
       "      <td>1.094300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11625</td>\n",
       "      <td>1.282100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11650</td>\n",
       "      <td>1.029900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11675</td>\n",
       "      <td>1.267700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11700</td>\n",
       "      <td>1.081300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11725</td>\n",
       "      <td>1.254300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11750</td>\n",
       "      <td>1.100600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11775</td>\n",
       "      <td>1.330400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11800</td>\n",
       "      <td>1.070700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11825</td>\n",
       "      <td>1.309500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11850</td>\n",
       "      <td>1.089800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11875</td>\n",
       "      <td>1.306100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11900</td>\n",
       "      <td>1.088900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11925</td>\n",
       "      <td>1.263700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11950</td>\n",
       "      <td>1.080300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11975</td>\n",
       "      <td>1.293400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12000</td>\n",
       "      <td>1.058600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12025</td>\n",
       "      <td>1.283200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12050</td>\n",
       "      <td>1.128100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12075</td>\n",
       "      <td>1.257300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12100</td>\n",
       "      <td>1.048500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12125</td>\n",
       "      <td>1.261700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12150</td>\n",
       "      <td>1.091000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12175</td>\n",
       "      <td>1.277600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12200</td>\n",
       "      <td>1.059000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12225</td>\n",
       "      <td>1.280100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12250</td>\n",
       "      <td>1.098900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12275</td>\n",
       "      <td>1.272000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12300</td>\n",
       "      <td>1.129700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12325</td>\n",
       "      <td>1.269400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12350</td>\n",
       "      <td>1.107300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12375</td>\n",
       "      <td>1.289200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12400</td>\n",
       "      <td>1.130500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12425</td>\n",
       "      <td>1.284200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12450</td>\n",
       "      <td>1.027300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12475</td>\n",
       "      <td>1.308300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12500</td>\n",
       "      <td>1.109200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12525</td>\n",
       "      <td>1.262300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12550</td>\n",
       "      <td>1.053000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12575</td>\n",
       "      <td>1.270900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12600</td>\n",
       "      <td>1.086400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12625</td>\n",
       "      <td>1.319000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12650</td>\n",
       "      <td>1.084200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12675</td>\n",
       "      <td>1.275300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12700</td>\n",
       "      <td>1.093700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12725</td>\n",
       "      <td>1.275600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12750</td>\n",
       "      <td>1.098700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12775</td>\n",
       "      <td>1.307400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12800</td>\n",
       "      <td>1.124800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12825</td>\n",
       "      <td>1.249700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12850</td>\n",
       "      <td>1.108500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12875</td>\n",
       "      <td>1.264400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12900</td>\n",
       "      <td>1.140800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12925</td>\n",
       "      <td>1.205300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12950</td>\n",
       "      <td>1.138900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12975</td>\n",
       "      <td>1.299200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13000</td>\n",
       "      <td>1.096500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13025</td>\n",
       "      <td>1.286400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13050</td>\n",
       "      <td>1.125800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13075</td>\n",
       "      <td>1.289800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13100</td>\n",
       "      <td>1.127800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13125</td>\n",
       "      <td>1.320900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13150</td>\n",
       "      <td>1.064400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13175</td>\n",
       "      <td>1.299400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13200</td>\n",
       "      <td>1.088000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13225</td>\n",
       "      <td>1.320400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13250</td>\n",
       "      <td>1.084900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13275</td>\n",
       "      <td>1.261500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13300</td>\n",
       "      <td>1.081500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13325</td>\n",
       "      <td>1.254900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13350</td>\n",
       "      <td>1.138700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13375</td>\n",
       "      <td>1.235200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13400</td>\n",
       "      <td>1.036300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13425</td>\n",
       "      <td>1.225500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13450</td>\n",
       "      <td>1.105700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13475</td>\n",
       "      <td>1.283800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13500</td>\n",
       "      <td>1.113000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13525</td>\n",
       "      <td>1.276700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13550</td>\n",
       "      <td>1.126700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13575</td>\n",
       "      <td>1.239300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13600</td>\n",
       "      <td>1.087200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13625</td>\n",
       "      <td>1.219700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13650</td>\n",
       "      <td>1.039700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13675</td>\n",
       "      <td>1.277600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13700</td>\n",
       "      <td>1.072100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13725</td>\n",
       "      <td>1.294700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13750</td>\n",
       "      <td>1.138400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13775</td>\n",
       "      <td>1.303100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13800</td>\n",
       "      <td>1.089700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13825</td>\n",
       "      <td>1.281400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13850</td>\n",
       "      <td>1.064900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13875</td>\n",
       "      <td>1.305400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13900</td>\n",
       "      <td>1.050800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13925</td>\n",
       "      <td>1.231500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13950</td>\n",
       "      <td>1.064100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13975</td>\n",
       "      <td>1.268000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14000</td>\n",
       "      <td>1.030600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14025</td>\n",
       "      <td>1.287800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14050</td>\n",
       "      <td>1.053100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14075</td>\n",
       "      <td>1.269500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14100</td>\n",
       "      <td>1.053800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14125</td>\n",
       "      <td>1.264800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14150</td>\n",
       "      <td>1.045200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14175</td>\n",
       "      <td>1.292000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14200</td>\n",
       "      <td>1.075300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14225</td>\n",
       "      <td>1.281200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14250</td>\n",
       "      <td>1.098500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14275</td>\n",
       "      <td>1.306900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14300</td>\n",
       "      <td>1.060000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14325</td>\n",
       "      <td>1.318800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14350</td>\n",
       "      <td>1.097500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14375</td>\n",
       "      <td>1.260600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14400</td>\n",
       "      <td>1.032400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14425</td>\n",
       "      <td>1.253600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14450</td>\n",
       "      <td>1.065300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14475</td>\n",
       "      <td>1.271400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14500</td>\n",
       "      <td>1.085100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14525</td>\n",
       "      <td>1.248900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14550</td>\n",
       "      <td>1.076100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14575</td>\n",
       "      <td>1.312100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14600</td>\n",
       "      <td>1.065300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14625</td>\n",
       "      <td>1.268000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14650</td>\n",
       "      <td>1.069300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14675</td>\n",
       "      <td>1.296300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14700</td>\n",
       "      <td>1.082500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14725</td>\n",
       "      <td>1.256400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14750</td>\n",
       "      <td>1.051200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14775</td>\n",
       "      <td>1.278700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14800</td>\n",
       "      <td>1.039700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14825</td>\n",
       "      <td>1.264500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14850</td>\n",
       "      <td>1.100800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14875</td>\n",
       "      <td>1.271400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14900</td>\n",
       "      <td>1.095200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14925</td>\n",
       "      <td>1.268900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14950</td>\n",
       "      <td>1.082100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14975</td>\n",
       "      <td>1.316600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15000</td>\n",
       "      <td>1.063800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15025</td>\n",
       "      <td>1.226700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15050</td>\n",
       "      <td>1.071100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15075</td>\n",
       "      <td>1.287100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15100</td>\n",
       "      <td>1.051100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15125</td>\n",
       "      <td>1.284900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15150</td>\n",
       "      <td>1.026600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15175</td>\n",
       "      <td>1.270600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15200</td>\n",
       "      <td>1.070600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15225</td>\n",
       "      <td>1.276100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15250</td>\n",
       "      <td>1.089800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15275</td>\n",
       "      <td>1.243400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15300</td>\n",
       "      <td>1.044900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15325</td>\n",
       "      <td>1.278600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15350</td>\n",
       "      <td>1.139300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15375</td>\n",
       "      <td>1.245900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15400</td>\n",
       "      <td>1.059300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15425</td>\n",
       "      <td>1.250200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15450</td>\n",
       "      <td>1.043600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15475</td>\n",
       "      <td>1.255600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15500</td>\n",
       "      <td>1.088500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15525</td>\n",
       "      <td>1.280400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15550</td>\n",
       "      <td>1.033700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15575</td>\n",
       "      <td>1.300400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15600</td>\n",
       "      <td>1.030700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15625</td>\n",
       "      <td>1.257500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15650</td>\n",
       "      <td>1.044300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15675</td>\n",
       "      <td>1.288800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15700</td>\n",
       "      <td>1.098000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15725</td>\n",
       "      <td>1.235300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15750</td>\n",
       "      <td>1.124600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15775</td>\n",
       "      <td>1.295700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15800</td>\n",
       "      <td>1.074900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15825</td>\n",
       "      <td>1.260700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15850</td>\n",
       "      <td>1.071900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15875</td>\n",
       "      <td>1.236600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15900</td>\n",
       "      <td>1.120500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15925</td>\n",
       "      <td>1.254500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15950</td>\n",
       "      <td>1.060700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15975</td>\n",
       "      <td>1.227700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16000</td>\n",
       "      <td>1.022600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16025</td>\n",
       "      <td>1.271200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16050</td>\n",
       "      <td>1.079800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16075</td>\n",
       "      <td>1.285000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16100</td>\n",
       "      <td>1.067100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16125</td>\n",
       "      <td>1.294100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16150</td>\n",
       "      <td>1.032700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16175</td>\n",
       "      <td>1.239800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16200</td>\n",
       "      <td>1.031400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16225</td>\n",
       "      <td>1.268300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16250</td>\n",
       "      <td>1.075900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16275</td>\n",
       "      <td>1.268300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16300</td>\n",
       "      <td>1.091200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16325</td>\n",
       "      <td>1.261900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16350</td>\n",
       "      <td>1.072900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16375</td>\n",
       "      <td>1.224100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16400</td>\n",
       "      <td>1.034500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16425</td>\n",
       "      <td>1.267000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16450</td>\n",
       "      <td>1.040600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16475</td>\n",
       "      <td>1.258700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16500</td>\n",
       "      <td>1.109000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16525</td>\n",
       "      <td>1.289900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16550</td>\n",
       "      <td>1.107800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16575</td>\n",
       "      <td>1.290100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16600</td>\n",
       "      <td>1.099400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16625</td>\n",
       "      <td>1.291100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16650</td>\n",
       "      <td>1.044400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16675</td>\n",
       "      <td>1.216900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16700</td>\n",
       "      <td>1.070700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16725</td>\n",
       "      <td>1.240500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16750</td>\n",
       "      <td>1.064800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16775</td>\n",
       "      <td>1.270100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16800</td>\n",
       "      <td>1.101900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16825</td>\n",
       "      <td>1.247400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16850</td>\n",
       "      <td>1.129800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16875</td>\n",
       "      <td>1.217600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16900</td>\n",
       "      <td>1.048900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16925</td>\n",
       "      <td>1.246400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16950</td>\n",
       "      <td>1.048400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16975</td>\n",
       "      <td>1.267800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17000</td>\n",
       "      <td>1.099800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17025</td>\n",
       "      <td>1.269200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17050</td>\n",
       "      <td>1.055000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17075</td>\n",
       "      <td>1.251100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17100</td>\n",
       "      <td>1.041100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17125</td>\n",
       "      <td>1.261400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17150</td>\n",
       "      <td>1.040700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17175</td>\n",
       "      <td>1.298700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17200</td>\n",
       "      <td>1.061000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17225</td>\n",
       "      <td>1.231800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17250</td>\n",
       "      <td>1.008000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17275</td>\n",
       "      <td>1.269900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17300</td>\n",
       "      <td>1.089500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17325</td>\n",
       "      <td>1.226600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17350</td>\n",
       "      <td>1.035500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17375</td>\n",
       "      <td>1.237400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17400</td>\n",
       "      <td>1.019800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17425</td>\n",
       "      <td>1.284900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17450</td>\n",
       "      <td>1.060200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17475</td>\n",
       "      <td>1.246100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17500</td>\n",
       "      <td>1.035400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17525</td>\n",
       "      <td>1.282800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17550</td>\n",
       "      <td>1.050600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17575</td>\n",
       "      <td>1.217300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17600</td>\n",
       "      <td>1.071300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17625</td>\n",
       "      <td>1.253300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17650</td>\n",
       "      <td>1.039800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17675</td>\n",
       "      <td>1.212400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17700</td>\n",
       "      <td>1.050300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17725</td>\n",
       "      <td>1.274600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17750</td>\n",
       "      <td>1.060200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17775</td>\n",
       "      <td>1.282900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17800</td>\n",
       "      <td>1.025800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17825</td>\n",
       "      <td>1.238200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17850</td>\n",
       "      <td>1.007100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17875</td>\n",
       "      <td>1.265500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17900</td>\n",
       "      <td>1.072700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17925</td>\n",
       "      <td>1.278100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17950</td>\n",
       "      <td>1.116300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17975</td>\n",
       "      <td>1.258900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18000</td>\n",
       "      <td>1.090800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18025</td>\n",
       "      <td>1.223800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18050</td>\n",
       "      <td>1.035400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18075</td>\n",
       "      <td>1.259900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18100</td>\n",
       "      <td>1.142500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18125</td>\n",
       "      <td>1.251000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18150</td>\n",
       "      <td>1.059400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18175</td>\n",
       "      <td>1.253600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18200</td>\n",
       "      <td>1.083500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18225</td>\n",
       "      <td>1.254000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18250</td>\n",
       "      <td>1.010300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18275</td>\n",
       "      <td>1.245900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18300</td>\n",
       "      <td>1.025800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18325</td>\n",
       "      <td>1.285300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18350</td>\n",
       "      <td>1.069200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18375</td>\n",
       "      <td>1.281700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18400</td>\n",
       "      <td>1.045500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18425</td>\n",
       "      <td>1.264300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18450</td>\n",
       "      <td>1.071500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18475</td>\n",
       "      <td>1.247000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18500</td>\n",
       "      <td>1.028100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18525</td>\n",
       "      <td>1.253000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18550</td>\n",
       "      <td>1.075700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18575</td>\n",
       "      <td>1.275100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18600</td>\n",
       "      <td>0.992000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18625</td>\n",
       "      <td>1.250300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18650</td>\n",
       "      <td>1.002000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18675</td>\n",
       "      <td>1.257200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18700</td>\n",
       "      <td>1.076000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18725</td>\n",
       "      <td>1.226700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18750</td>\n",
       "      <td>1.005100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18775</td>\n",
       "      <td>1.254500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18800</td>\n",
       "      <td>1.032900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18825</td>\n",
       "      <td>1.239300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18850</td>\n",
       "      <td>1.081400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18875</td>\n",
       "      <td>1.281800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18900</td>\n",
       "      <td>1.070500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18925</td>\n",
       "      <td>1.232100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18950</td>\n",
       "      <td>1.045300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18975</td>\n",
       "      <td>1.227500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19000</td>\n",
       "      <td>1.063200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19025</td>\n",
       "      <td>1.244300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19050</td>\n",
       "      <td>1.047400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19075</td>\n",
       "      <td>1.222800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19100</td>\n",
       "      <td>1.113900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19125</td>\n",
       "      <td>1.185100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19150</td>\n",
       "      <td>1.030200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19175</td>\n",
       "      <td>1.264200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19200</td>\n",
       "      <td>1.049500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19225</td>\n",
       "      <td>1.269700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19250</td>\n",
       "      <td>1.029700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19275</td>\n",
       "      <td>1.249600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19300</td>\n",
       "      <td>1.057200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19325</td>\n",
       "      <td>1.222600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19350</td>\n",
       "      <td>1.049600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19375</td>\n",
       "      <td>1.249900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19400</td>\n",
       "      <td>1.088000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19425</td>\n",
       "      <td>1.276300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19450</td>\n",
       "      <td>1.021100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19475</td>\n",
       "      <td>1.289000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19500</td>\n",
       "      <td>1.066700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19525</td>\n",
       "      <td>1.279400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19550</td>\n",
       "      <td>1.027800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19575</td>\n",
       "      <td>1.246600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19600</td>\n",
       "      <td>1.059800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19625</td>\n",
       "      <td>1.261500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19650</td>\n",
       "      <td>1.082900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19675</td>\n",
       "      <td>1.304600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19700</td>\n",
       "      <td>1.079300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19725</td>\n",
       "      <td>1.261200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19750</td>\n",
       "      <td>1.085300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19775</td>\n",
       "      <td>1.264500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19800</td>\n",
       "      <td>0.977500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19825</td>\n",
       "      <td>1.271500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19850</td>\n",
       "      <td>0.979800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19875</td>\n",
       "      <td>1.259500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19900</td>\n",
       "      <td>1.097500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19925</td>\n",
       "      <td>1.260400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19950</td>\n",
       "      <td>1.049900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19975</td>\n",
       "      <td>1.261500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20000</td>\n",
       "      <td>1.046900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20025</td>\n",
       "      <td>1.274500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20050</td>\n",
       "      <td>1.037000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20075</td>\n",
       "      <td>1.239300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20100</td>\n",
       "      <td>1.037100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20125</td>\n",
       "      <td>1.256800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20150</td>\n",
       "      <td>1.052200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20175</td>\n",
       "      <td>1.257400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20200</td>\n",
       "      <td>1.003200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20225</td>\n",
       "      <td>1.260400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20250</td>\n",
       "      <td>1.076700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20275</td>\n",
       "      <td>1.234100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20300</td>\n",
       "      <td>1.053700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20325</td>\n",
       "      <td>1.238100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20350</td>\n",
       "      <td>1.036600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20375</td>\n",
       "      <td>1.271600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20400</td>\n",
       "      <td>1.029700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20425</td>\n",
       "      <td>1.216300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20450</td>\n",
       "      <td>1.070800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20475</td>\n",
       "      <td>1.222500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20500</td>\n",
       "      <td>1.076700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20525</td>\n",
       "      <td>1.291300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20550</td>\n",
       "      <td>1.048400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20575</td>\n",
       "      <td>1.244800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20600</td>\n",
       "      <td>1.138400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20625</td>\n",
       "      <td>1.255400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20650</td>\n",
       "      <td>1.060200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20675</td>\n",
       "      <td>1.256700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20700</td>\n",
       "      <td>1.072800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20725</td>\n",
       "      <td>1.244300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20750</td>\n",
       "      <td>1.006300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20775</td>\n",
       "      <td>1.268200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20800</td>\n",
       "      <td>1.063200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20825</td>\n",
       "      <td>1.208900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20850</td>\n",
       "      <td>1.005500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20875</td>\n",
       "      <td>1.215600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20900</td>\n",
       "      <td>1.044200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20925</td>\n",
       "      <td>1.212400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20950</td>\n",
       "      <td>1.072000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20975</td>\n",
       "      <td>1.221500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21000</td>\n",
       "      <td>1.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21025</td>\n",
       "      <td>1.250600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21050</td>\n",
       "      <td>1.019800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21075</td>\n",
       "      <td>1.210700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21100</td>\n",
       "      <td>1.118200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21125</td>\n",
       "      <td>1.238200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21150</td>\n",
       "      <td>1.145100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21175</td>\n",
       "      <td>1.243500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21200</td>\n",
       "      <td>1.033900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21225</td>\n",
       "      <td>1.224700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21250</td>\n",
       "      <td>1.002200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21275</td>\n",
       "      <td>1.250500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21300</td>\n",
       "      <td>1.058300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21325</td>\n",
       "      <td>1.224900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21350</td>\n",
       "      <td>1.082600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21375</td>\n",
       "      <td>1.242800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21400</td>\n",
       "      <td>1.033100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21425</td>\n",
       "      <td>1.258900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21450</td>\n",
       "      <td>1.048700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21475</td>\n",
       "      <td>1.273700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21500</td>\n",
       "      <td>1.080100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21525</td>\n",
       "      <td>1.288900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21550</td>\n",
       "      <td>1.029600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21575</td>\n",
       "      <td>1.244100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21600</td>\n",
       "      <td>0.956000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21625</td>\n",
       "      <td>1.251400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21650</td>\n",
       "      <td>1.008400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21675</td>\n",
       "      <td>1.300500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21700</td>\n",
       "      <td>1.054500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21725</td>\n",
       "      <td>1.259100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21750</td>\n",
       "      <td>1.092100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21775</td>\n",
       "      <td>1.220100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21800</td>\n",
       "      <td>1.028900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21825</td>\n",
       "      <td>1.228300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21850</td>\n",
       "      <td>1.010600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21875</td>\n",
       "      <td>1.245700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21900</td>\n",
       "      <td>1.037100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21925</td>\n",
       "      <td>1.225900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21950</td>\n",
       "      <td>1.033700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21975</td>\n",
       "      <td>1.259600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22000</td>\n",
       "      <td>1.044700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22025</td>\n",
       "      <td>1.238200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22050</td>\n",
       "      <td>0.977400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22075</td>\n",
       "      <td>1.210300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22100</td>\n",
       "      <td>1.068500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22125</td>\n",
       "      <td>1.279000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22150</td>\n",
       "      <td>1.086300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22175</td>\n",
       "      <td>1.255100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22200</td>\n",
       "      <td>1.048700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22225</td>\n",
       "      <td>1.208900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22250</td>\n",
       "      <td>1.039500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22275</td>\n",
       "      <td>1.235800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22300</td>\n",
       "      <td>1.052500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22325</td>\n",
       "      <td>1.266200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22350</td>\n",
       "      <td>1.081100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22375</td>\n",
       "      <td>1.223700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22400</td>\n",
       "      <td>1.065300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22425</td>\n",
       "      <td>1.221900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22450</td>\n",
       "      <td>0.998800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22475</td>\n",
       "      <td>1.238600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22500</td>\n",
       "      <td>1.037500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22525</td>\n",
       "      <td>1.216800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22550</td>\n",
       "      <td>1.082900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22575</td>\n",
       "      <td>1.239800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22600</td>\n",
       "      <td>1.045000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22625</td>\n",
       "      <td>1.218100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22650</td>\n",
       "      <td>1.013500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22675</td>\n",
       "      <td>1.266500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22700</td>\n",
       "      <td>1.059900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22725</td>\n",
       "      <td>1.220000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22750</td>\n",
       "      <td>1.057200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22775</td>\n",
       "      <td>1.223700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22800</td>\n",
       "      <td>1.008000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22825</td>\n",
       "      <td>1.241800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22850</td>\n",
       "      <td>1.075000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22875</td>\n",
       "      <td>1.267600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22900</td>\n",
       "      <td>1.088800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22925</td>\n",
       "      <td>1.215200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22950</td>\n",
       "      <td>1.043200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22975</td>\n",
       "      <td>1.192700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23000</td>\n",
       "      <td>1.028500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23025</td>\n",
       "      <td>1.214900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23050</td>\n",
       "      <td>1.065600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23075</td>\n",
       "      <td>1.253500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23100</td>\n",
       "      <td>1.092800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23125</td>\n",
       "      <td>1.178700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23150</td>\n",
       "      <td>1.069200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23175</td>\n",
       "      <td>1.255600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23200</td>\n",
       "      <td>1.147000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23225</td>\n",
       "      <td>1.227700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23250</td>\n",
       "      <td>1.085200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23275</td>\n",
       "      <td>1.222500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23300</td>\n",
       "      <td>1.023900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23325</td>\n",
       "      <td>1.276900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23350</td>\n",
       "      <td>1.039200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23375</td>\n",
       "      <td>1.211900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23400</td>\n",
       "      <td>1.005000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23425</td>\n",
       "      <td>1.240900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23450</td>\n",
       "      <td>1.080700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23475</td>\n",
       "      <td>1.202300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23500</td>\n",
       "      <td>1.047000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23525</td>\n",
       "      <td>1.252800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23550</td>\n",
       "      <td>1.103100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23575</td>\n",
       "      <td>1.225300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23600</td>\n",
       "      <td>1.057900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23625</td>\n",
       "      <td>1.251500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23650</td>\n",
       "      <td>1.017200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23675</td>\n",
       "      <td>1.244200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23700</td>\n",
       "      <td>1.109300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23725</td>\n",
       "      <td>1.260300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23750</td>\n",
       "      <td>1.032800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23775</td>\n",
       "      <td>1.238800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23800</td>\n",
       "      <td>1.046900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23825</td>\n",
       "      <td>1.265700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23850</td>\n",
       "      <td>1.000100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23875</td>\n",
       "      <td>1.240600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23900</td>\n",
       "      <td>1.070900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23925</td>\n",
       "      <td>1.260800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23950</td>\n",
       "      <td>0.998000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23975</td>\n",
       "      <td>1.234900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24000</td>\n",
       "      <td>0.993800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24025</td>\n",
       "      <td>1.222600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24050</td>\n",
       "      <td>1.007300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24075</td>\n",
       "      <td>1.280200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24100</td>\n",
       "      <td>0.999100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24125</td>\n",
       "      <td>1.196300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24150</td>\n",
       "      <td>0.995600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24175</td>\n",
       "      <td>1.252400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24200</td>\n",
       "      <td>1.047200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24225</td>\n",
       "      <td>1.244400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24250</td>\n",
       "      <td>1.027600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24275</td>\n",
       "      <td>1.247500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24300</td>\n",
       "      <td>1.041800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24325</td>\n",
       "      <td>1.234900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24350</td>\n",
       "      <td>1.083900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24375</td>\n",
       "      <td>1.271400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24400</td>\n",
       "      <td>1.059800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24425</td>\n",
       "      <td>1.249200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24450</td>\n",
       "      <td>1.022800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24475</td>\n",
       "      <td>1.216400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24500</td>\n",
       "      <td>0.984900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24525</td>\n",
       "      <td>1.264000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24550</td>\n",
       "      <td>1.030400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24575</td>\n",
       "      <td>1.235100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24600</td>\n",
       "      <td>1.034600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24625</td>\n",
       "      <td>1.241400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24650</td>\n",
       "      <td>1.031400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24675</td>\n",
       "      <td>1.245500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24700</td>\n",
       "      <td>1.044900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24725</td>\n",
       "      <td>1.228300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24750</td>\n",
       "      <td>1.046900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24775</td>\n",
       "      <td>1.213600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24800</td>\n",
       "      <td>1.029800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24825</td>\n",
       "      <td>1.239400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24850</td>\n",
       "      <td>1.040300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24875</td>\n",
       "      <td>1.231700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24900</td>\n",
       "      <td>1.031400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24925</td>\n",
       "      <td>1.205400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24950</td>\n",
       "      <td>1.049500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24975</td>\n",
       "      <td>1.237700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25000</td>\n",
       "      <td>1.009800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25025</td>\n",
       "      <td>1.276300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25050</td>\n",
       "      <td>1.075800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25075</td>\n",
       "      <td>1.290900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25100</td>\n",
       "      <td>1.048900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25125</td>\n",
       "      <td>1.240000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25150</td>\n",
       "      <td>1.086400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25175</td>\n",
       "      <td>1.224800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25200</td>\n",
       "      <td>1.049000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25225</td>\n",
       "      <td>1.235900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25250</td>\n",
       "      <td>1.066000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25275</td>\n",
       "      <td>1.228200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25300</td>\n",
       "      <td>1.046800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25325</td>\n",
       "      <td>1.198800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25350</td>\n",
       "      <td>0.956100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25375</td>\n",
       "      <td>1.223600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25400</td>\n",
       "      <td>1.046200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25425</td>\n",
       "      <td>1.138700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25450</td>\n",
       "      <td>0.964700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25475</td>\n",
       "      <td>1.262300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25500</td>\n",
       "      <td>1.061900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25525</td>\n",
       "      <td>1.263000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25550</td>\n",
       "      <td>1.052500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25575</td>\n",
       "      <td>1.256100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25600</td>\n",
       "      <td>1.054600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25625</td>\n",
       "      <td>1.223200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25650</td>\n",
       "      <td>1.017000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25675</td>\n",
       "      <td>1.235000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25700</td>\n",
       "      <td>1.039700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25725</td>\n",
       "      <td>1.247400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25750</td>\n",
       "      <td>1.002900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25775</td>\n",
       "      <td>1.234800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25800</td>\n",
       "      <td>1.016100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25825</td>\n",
       "      <td>1.232100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25850</td>\n",
       "      <td>1.026500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25875</td>\n",
       "      <td>1.190700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25900</td>\n",
       "      <td>1.014500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25925</td>\n",
       "      <td>1.251700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25950</td>\n",
       "      <td>1.085600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25975</td>\n",
       "      <td>1.232600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26000</td>\n",
       "      <td>1.049100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26025</td>\n",
       "      <td>1.237300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26050</td>\n",
       "      <td>1.103300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26075</td>\n",
       "      <td>1.243400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26100</td>\n",
       "      <td>1.035300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26125</td>\n",
       "      <td>1.212700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26150</td>\n",
       "      <td>1.030800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26175</td>\n",
       "      <td>1.236300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26200</td>\n",
       "      <td>1.042500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26225</td>\n",
       "      <td>1.210700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26250</td>\n",
       "      <td>1.093200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26275</td>\n",
       "      <td>1.255400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26300</td>\n",
       "      <td>1.021400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26325</td>\n",
       "      <td>1.235600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26350</td>\n",
       "      <td>1.007400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26375</td>\n",
       "      <td>1.237500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26400</td>\n",
       "      <td>1.056300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26425</td>\n",
       "      <td>1.199900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26450</td>\n",
       "      <td>1.060500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26475</td>\n",
       "      <td>1.182100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26500</td>\n",
       "      <td>1.031300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26525</td>\n",
       "      <td>1.268900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26550</td>\n",
       "      <td>1.122700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26575</td>\n",
       "      <td>1.212000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26600</td>\n",
       "      <td>1.096700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26625</td>\n",
       "      <td>1.233300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26650</td>\n",
       "      <td>1.044200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26675</td>\n",
       "      <td>1.193700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26700</td>\n",
       "      <td>1.052400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26725</td>\n",
       "      <td>1.219700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26750</td>\n",
       "      <td>1.075900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26775</td>\n",
       "      <td>1.224800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26800</td>\n",
       "      <td>1.078600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26825</td>\n",
       "      <td>1.222800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26850</td>\n",
       "      <td>1.036400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26875</td>\n",
       "      <td>1.222600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26900</td>\n",
       "      <td>1.053200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26925</td>\n",
       "      <td>1.236600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26950</td>\n",
       "      <td>0.947000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26975</td>\n",
       "      <td>1.260200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27000</td>\n",
       "      <td>1.069700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27025</td>\n",
       "      <td>1.243400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27050</td>\n",
       "      <td>0.984300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27075</td>\n",
       "      <td>1.249200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27100</td>\n",
       "      <td>1.036500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27125</td>\n",
       "      <td>1.192900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27150</td>\n",
       "      <td>1.024900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27175</td>\n",
       "      <td>1.189800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27200</td>\n",
       "      <td>1.036400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27225</td>\n",
       "      <td>1.223200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27250</td>\n",
       "      <td>1.073200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27275</td>\n",
       "      <td>1.254700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27300</td>\n",
       "      <td>1.040100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27325</td>\n",
       "      <td>1.202300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27350</td>\n",
       "      <td>0.999000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27375</td>\n",
       "      <td>1.288500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27400</td>\n",
       "      <td>1.079400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27425</td>\n",
       "      <td>1.238900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27450</td>\n",
       "      <td>1.030400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27475</td>\n",
       "      <td>1.262600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27500</td>\n",
       "      <td>1.006600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27525</td>\n",
       "      <td>1.254000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27550</td>\n",
       "      <td>1.049500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27575</td>\n",
       "      <td>1.242600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27600</td>\n",
       "      <td>1.035500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27625</td>\n",
       "      <td>1.212700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27650</td>\n",
       "      <td>1.008900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27675</td>\n",
       "      <td>1.261500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27700</td>\n",
       "      <td>1.055800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27725</td>\n",
       "      <td>1.213300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27750</td>\n",
       "      <td>1.066200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27775</td>\n",
       "      <td>1.196300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27800</td>\n",
       "      <td>1.100200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27825</td>\n",
       "      <td>1.221400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27850</td>\n",
       "      <td>0.999800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27875</td>\n",
       "      <td>1.230700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27900</td>\n",
       "      <td>1.032100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27925</td>\n",
       "      <td>1.232200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27950</td>\n",
       "      <td>1.063400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27975</td>\n",
       "      <td>1.205200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28000</td>\n",
       "      <td>1.106200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28025</td>\n",
       "      <td>1.239500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28050</td>\n",
       "      <td>1.021500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28075</td>\n",
       "      <td>1.221500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28100</td>\n",
       "      <td>1.032300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28125</td>\n",
       "      <td>1.226700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28150</td>\n",
       "      <td>1.064200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28175</td>\n",
       "      <td>1.218600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28200</td>\n",
       "      <td>1.077400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28225</td>\n",
       "      <td>1.227100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28250</td>\n",
       "      <td>0.999600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28275</td>\n",
       "      <td>1.247200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28300</td>\n",
       "      <td>1.023600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28325</td>\n",
       "      <td>1.236100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28350</td>\n",
       "      <td>1.042800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28375</td>\n",
       "      <td>1.248700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28400</td>\n",
       "      <td>1.113200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28425</td>\n",
       "      <td>1.206900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28450</td>\n",
       "      <td>1.035500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28475</td>\n",
       "      <td>1.229700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28500</td>\n",
       "      <td>1.034700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28525</td>\n",
       "      <td>1.258100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28550</td>\n",
       "      <td>1.107600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28575</td>\n",
       "      <td>1.201400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28600</td>\n",
       "      <td>1.010100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28625</td>\n",
       "      <td>1.219100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28650</td>\n",
       "      <td>1.070300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28675</td>\n",
       "      <td>1.206100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28700</td>\n",
       "      <td>1.025900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28725</td>\n",
       "      <td>1.213300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28750</td>\n",
       "      <td>1.046200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28775</td>\n",
       "      <td>1.226400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28800</td>\n",
       "      <td>1.007000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28825</td>\n",
       "      <td>1.235600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28850</td>\n",
       "      <td>1.030100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28875</td>\n",
       "      <td>1.218500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28900</td>\n",
       "      <td>1.029600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28925</td>\n",
       "      <td>1.205100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28950</td>\n",
       "      <td>1.040400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28975</td>\n",
       "      <td>1.198400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29000</td>\n",
       "      <td>0.994700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29025</td>\n",
       "      <td>1.225700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29050</td>\n",
       "      <td>1.103300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29075</td>\n",
       "      <td>1.258300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29100</td>\n",
       "      <td>1.081200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29125</td>\n",
       "      <td>1.215000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29150</td>\n",
       "      <td>1.034300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29175</td>\n",
       "      <td>1.235400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29200</td>\n",
       "      <td>0.992300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29225</td>\n",
       "      <td>1.241600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29250</td>\n",
       "      <td>1.094000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29275</td>\n",
       "      <td>1.219500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29300</td>\n",
       "      <td>1.014800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29325</td>\n",
       "      <td>1.229600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29350</td>\n",
       "      <td>1.054300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29375</td>\n",
       "      <td>1.248000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29400</td>\n",
       "      <td>1.029900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29425</td>\n",
       "      <td>1.190600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29450</td>\n",
       "      <td>1.085100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29475</td>\n",
       "      <td>1.216100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29500</td>\n",
       "      <td>1.026800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29525</td>\n",
       "      <td>1.208700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29550</td>\n",
       "      <td>0.986500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29575</td>\n",
       "      <td>1.224200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29600</td>\n",
       "      <td>1.081000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29625</td>\n",
       "      <td>1.252400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29650</td>\n",
       "      <td>1.071300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29675</td>\n",
       "      <td>1.232100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29700</td>\n",
       "      <td>1.067800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29725</td>\n",
       "      <td>1.201000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29750</td>\n",
       "      <td>1.013000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29775</td>\n",
       "      <td>1.224200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29800</td>\n",
       "      <td>1.056500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29825</td>\n",
       "      <td>1.241800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29850</td>\n",
       "      <td>1.002100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29875</td>\n",
       "      <td>1.229300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29900</td>\n",
       "      <td>0.991100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29925</td>\n",
       "      <td>1.239100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29950</td>\n",
       "      <td>1.000600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29975</td>\n",
       "      <td>1.284200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30000</td>\n",
       "      <td>1.020100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30025</td>\n",
       "      <td>1.220100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30050</td>\n",
       "      <td>1.033300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30075</td>\n",
       "      <td>1.219700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30100</td>\n",
       "      <td>1.069400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30125</td>\n",
       "      <td>1.197100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30150</td>\n",
       "      <td>1.050400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30175</td>\n",
       "      <td>1.234800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30200</td>\n",
       "      <td>1.079800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30225</td>\n",
       "      <td>1.232300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30250</td>\n",
       "      <td>1.011100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30275</td>\n",
       "      <td>1.240300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30300</td>\n",
       "      <td>1.023500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30325</td>\n",
       "      <td>1.250700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30350</td>\n",
       "      <td>1.041400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30375</td>\n",
       "      <td>1.237300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30400</td>\n",
       "      <td>1.062500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30425</td>\n",
       "      <td>1.223900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30450</td>\n",
       "      <td>1.063200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30475</td>\n",
       "      <td>1.213000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30500</td>\n",
       "      <td>0.985800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30525</td>\n",
       "      <td>1.217000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30550</td>\n",
       "      <td>1.069100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30575</td>\n",
       "      <td>1.200300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30600</td>\n",
       "      <td>1.004100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30625</td>\n",
       "      <td>1.221600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30650</td>\n",
       "      <td>1.016200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30675</td>\n",
       "      <td>1.248400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30700</td>\n",
       "      <td>1.087000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30725</td>\n",
       "      <td>1.208800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30750</td>\n",
       "      <td>1.093000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30775</td>\n",
       "      <td>1.248200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30800</td>\n",
       "      <td>0.985700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30825</td>\n",
       "      <td>1.216800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30850</td>\n",
       "      <td>1.039900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30875</td>\n",
       "      <td>1.229100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30900</td>\n",
       "      <td>1.048900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30925</td>\n",
       "      <td>1.185800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30950</td>\n",
       "      <td>1.053800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30975</td>\n",
       "      <td>1.248200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31000</td>\n",
       "      <td>1.071600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31025</td>\n",
       "      <td>1.262900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31050</td>\n",
       "      <td>1.007300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31075</td>\n",
       "      <td>1.221200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31100</td>\n",
       "      <td>1.001200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31125</td>\n",
       "      <td>1.213600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31150</td>\n",
       "      <td>1.032500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31175</td>\n",
       "      <td>1.250900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31200</td>\n",
       "      <td>1.073500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31225</td>\n",
       "      <td>1.199600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31250</td>\n",
       "      <td>1.013100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31275</td>\n",
       "      <td>1.236900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31300</td>\n",
       "      <td>1.021100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31325</td>\n",
       "      <td>1.212400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31350</td>\n",
       "      <td>1.078300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31375</td>\n",
       "      <td>1.250400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31400</td>\n",
       "      <td>1.025100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31425</td>\n",
       "      <td>1.247200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31450</td>\n",
       "      <td>1.047500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31475</td>\n",
       "      <td>1.220000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31500</td>\n",
       "      <td>1.058200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31525</td>\n",
       "      <td>1.201900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31550</td>\n",
       "      <td>1.037500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31575</td>\n",
       "      <td>1.181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31600</td>\n",
       "      <td>1.058100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31625</td>\n",
       "      <td>1.216800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31650</td>\n",
       "      <td>1.067300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31675</td>\n",
       "      <td>1.227500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31700</td>\n",
       "      <td>1.072600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31725</td>\n",
       "      <td>1.202200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31750</td>\n",
       "      <td>1.008800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31775</td>\n",
       "      <td>1.241300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31800</td>\n",
       "      <td>0.981000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31825</td>\n",
       "      <td>1.179300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31850</td>\n",
       "      <td>1.032400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31875</td>\n",
       "      <td>1.185600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31900</td>\n",
       "      <td>1.050800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31925</td>\n",
       "      <td>1.257500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31950</td>\n",
       "      <td>1.073500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31975</td>\n",
       "      <td>1.244300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32000</td>\n",
       "      <td>1.000800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32025</td>\n",
       "      <td>1.200100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32050</td>\n",
       "      <td>1.072500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32075</td>\n",
       "      <td>1.233900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32100</td>\n",
       "      <td>1.007800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32125</td>\n",
       "      <td>1.276600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32150</td>\n",
       "      <td>1.061700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32175</td>\n",
       "      <td>1.195500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32200</td>\n",
       "      <td>1.036000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32225</td>\n",
       "      <td>1.236500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32250</td>\n",
       "      <td>1.060500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32275</td>\n",
       "      <td>1.230300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32300</td>\n",
       "      <td>1.018600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32325</td>\n",
       "      <td>1.199100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32350</td>\n",
       "      <td>1.046600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32375</td>\n",
       "      <td>1.197600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32400</td>\n",
       "      <td>1.005000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32425</td>\n",
       "      <td>1.201800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32450</td>\n",
       "      <td>1.070600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32475</td>\n",
       "      <td>1.246500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32500</td>\n",
       "      <td>1.070400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32525</td>\n",
       "      <td>1.185400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32550</td>\n",
       "      <td>1.000800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32575</td>\n",
       "      <td>1.216400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32600</td>\n",
       "      <td>0.946200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32625</td>\n",
       "      <td>1.198800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32650</td>\n",
       "      <td>1.045400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32675</td>\n",
       "      <td>1.278900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32700</td>\n",
       "      <td>1.046900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32725</td>\n",
       "      <td>1.221400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32750</td>\n",
       "      <td>1.011600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32775</td>\n",
       "      <td>1.206800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32800</td>\n",
       "      <td>0.990300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32825</td>\n",
       "      <td>1.230700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32850</td>\n",
       "      <td>1.015600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32875</td>\n",
       "      <td>1.240500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32900</td>\n",
       "      <td>1.006200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32925</td>\n",
       "      <td>1.223700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32950</td>\n",
       "      <td>1.008000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32975</td>\n",
       "      <td>1.221000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33000</td>\n",
       "      <td>1.023200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33025</td>\n",
       "      <td>1.189200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33050</td>\n",
       "      <td>1.015900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33075</td>\n",
       "      <td>1.263900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33100</td>\n",
       "      <td>0.980000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33125</td>\n",
       "      <td>1.235200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33150</td>\n",
       "      <td>0.992000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33175</td>\n",
       "      <td>1.226200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33200</td>\n",
       "      <td>1.063000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33225</td>\n",
       "      <td>1.226200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33250</td>\n",
       "      <td>1.005900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33275</td>\n",
       "      <td>1.251100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33300</td>\n",
       "      <td>1.009300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33325</td>\n",
       "      <td>1.206100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33350</td>\n",
       "      <td>1.033600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33375</td>\n",
       "      <td>1.211300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33400</td>\n",
       "      <td>1.025300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33425</td>\n",
       "      <td>1.164800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33450</td>\n",
       "      <td>1.029600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33475</td>\n",
       "      <td>1.209600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33500</td>\n",
       "      <td>1.010400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33525</td>\n",
       "      <td>1.246200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33550</td>\n",
       "      <td>1.039800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33575</td>\n",
       "      <td>1.219400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33600</td>\n",
       "      <td>1.011300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33625</td>\n",
       "      <td>1.235200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33650</td>\n",
       "      <td>1.048700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33675</td>\n",
       "      <td>1.205400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33700</td>\n",
       "      <td>1.032200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33725</td>\n",
       "      <td>1.205400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33750</td>\n",
       "      <td>1.024000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33775</td>\n",
       "      <td>1.224600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33800</td>\n",
       "      <td>1.019200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33825</td>\n",
       "      <td>1.227300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33850</td>\n",
       "      <td>1.046400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33875</td>\n",
       "      <td>1.181800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33900</td>\n",
       "      <td>1.049000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33925</td>\n",
       "      <td>1.224800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33950</td>\n",
       "      <td>1.020700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33975</td>\n",
       "      <td>1.201000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34000</td>\n",
       "      <td>1.029100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34025</td>\n",
       "      <td>1.202500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34050</td>\n",
       "      <td>1.002600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34075</td>\n",
       "      <td>1.258900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34100</td>\n",
       "      <td>0.981800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34125</td>\n",
       "      <td>1.191700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34150</td>\n",
       "      <td>0.998000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34175</td>\n",
       "      <td>1.173500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34200</td>\n",
       "      <td>1.047900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34225</td>\n",
       "      <td>1.222400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34250</td>\n",
       "      <td>1.035800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34275</td>\n",
       "      <td>1.219700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34300</td>\n",
       "      <td>0.961100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34325</td>\n",
       "      <td>1.232200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34350</td>\n",
       "      <td>1.079800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34375</td>\n",
       "      <td>1.254700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34400</td>\n",
       "      <td>1.004000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34425</td>\n",
       "      <td>1.201000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34450</td>\n",
       "      <td>1.017200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34475</td>\n",
       "      <td>1.270400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34500</td>\n",
       "      <td>0.996700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34525</td>\n",
       "      <td>1.197100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34550</td>\n",
       "      <td>1.033500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34575</td>\n",
       "      <td>1.229500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34600</td>\n",
       "      <td>1.019800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34625</td>\n",
       "      <td>1.230200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34650</td>\n",
       "      <td>1.041100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34675</td>\n",
       "      <td>1.196900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34700</td>\n",
       "      <td>1.037800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34725</td>\n",
       "      <td>1.242700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34750</td>\n",
       "      <td>0.975800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34775</td>\n",
       "      <td>1.256500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34800</td>\n",
       "      <td>1.068700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34825</td>\n",
       "      <td>1.233400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34850</td>\n",
       "      <td>1.009000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34875</td>\n",
       "      <td>1.252300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34900</td>\n",
       "      <td>1.025700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34925</td>\n",
       "      <td>1.234400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34950</td>\n",
       "      <td>1.072300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34975</td>\n",
       "      <td>1.200700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35000</td>\n",
       "      <td>1.039100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35025</td>\n",
       "      <td>1.196300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35050</td>\n",
       "      <td>1.013600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35075</td>\n",
       "      <td>1.237700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35100</td>\n",
       "      <td>1.084400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35125</td>\n",
       "      <td>1.246600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35150</td>\n",
       "      <td>0.955100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35175</td>\n",
       "      <td>1.230900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35200</td>\n",
       "      <td>1.007500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35225</td>\n",
       "      <td>1.193700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35250</td>\n",
       "      <td>0.980500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35275</td>\n",
       "      <td>1.250400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35300</td>\n",
       "      <td>0.992100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35325</td>\n",
       "      <td>1.254900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35350</td>\n",
       "      <td>1.032700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35375</td>\n",
       "      <td>1.196000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35400</td>\n",
       "      <td>1.032500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35425</td>\n",
       "      <td>1.223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35450</td>\n",
       "      <td>0.981500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35475</td>\n",
       "      <td>1.214900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35500</td>\n",
       "      <td>0.955800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35525</td>\n",
       "      <td>1.177700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35550</td>\n",
       "      <td>1.012100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35575</td>\n",
       "      <td>1.206700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35600</td>\n",
       "      <td>1.034100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35625</td>\n",
       "      <td>1.259200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35650</td>\n",
       "      <td>1.001100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35675</td>\n",
       "      <td>1.201400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35700</td>\n",
       "      <td>1.001000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35725</td>\n",
       "      <td>1.246200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35750</td>\n",
       "      <td>0.965300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35775</td>\n",
       "      <td>1.244200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35800</td>\n",
       "      <td>0.965400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35825</td>\n",
       "      <td>1.211600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35850</td>\n",
       "      <td>1.054400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35875</td>\n",
       "      <td>1.201500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35900</td>\n",
       "      <td>1.057600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35925</td>\n",
       "      <td>1.170500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35950</td>\n",
       "      <td>1.046100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35975</td>\n",
       "      <td>1.265500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36000</td>\n",
       "      <td>1.033300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36025</td>\n",
       "      <td>1.201800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36050</td>\n",
       "      <td>1.030800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36075</td>\n",
       "      <td>1.209100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36100</td>\n",
       "      <td>1.014300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36125</td>\n",
       "      <td>1.218500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36150</td>\n",
       "      <td>1.026700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36175</td>\n",
       "      <td>1.211600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36200</td>\n",
       "      <td>1.006100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36225</td>\n",
       "      <td>1.196100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36250</td>\n",
       "      <td>0.980400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36275</td>\n",
       "      <td>1.232700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36300</td>\n",
       "      <td>1.001900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36325</td>\n",
       "      <td>1.238000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36350</td>\n",
       "      <td>1.043000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36375</td>\n",
       "      <td>1.216300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36400</td>\n",
       "      <td>1.032000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36425</td>\n",
       "      <td>1.222400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36450</td>\n",
       "      <td>1.069500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36475</td>\n",
       "      <td>1.192700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36500</td>\n",
       "      <td>0.998300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36525</td>\n",
       "      <td>1.164700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36550</td>\n",
       "      <td>1.040600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36575</td>\n",
       "      <td>1.208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36600</td>\n",
       "      <td>1.071300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36625</td>\n",
       "      <td>1.182100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36650</td>\n",
       "      <td>0.982800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36675</td>\n",
       "      <td>1.199300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36700</td>\n",
       "      <td>0.989700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36725</td>\n",
       "      <td>1.260800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36750</td>\n",
       "      <td>0.992300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36775</td>\n",
       "      <td>1.205500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36800</td>\n",
       "      <td>0.979900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36825</td>\n",
       "      <td>1.199500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36850</td>\n",
       "      <td>0.938800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36875</td>\n",
       "      <td>1.234000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36900</td>\n",
       "      <td>0.932200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36925</td>\n",
       "      <td>1.245400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36950</td>\n",
       "      <td>0.962200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36975</td>\n",
       "      <td>1.214400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37000</td>\n",
       "      <td>1.058000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37025</td>\n",
       "      <td>1.215000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37050</td>\n",
       "      <td>1.038700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37075</td>\n",
       "      <td>1.229400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37100</td>\n",
       "      <td>1.018300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37125</td>\n",
       "      <td>1.203700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37150</td>\n",
       "      <td>1.069400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37175</td>\n",
       "      <td>1.229600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37200</td>\n",
       "      <td>1.014800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37225</td>\n",
       "      <td>1.237200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37250</td>\n",
       "      <td>1.045900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37275</td>\n",
       "      <td>1.187400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37300</td>\n",
       "      <td>0.993900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37325</td>\n",
       "      <td>1.219300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37350</td>\n",
       "      <td>1.044900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37375</td>\n",
       "      <td>1.229000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37400</td>\n",
       "      <td>1.018600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37425</td>\n",
       "      <td>1.206700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37450</td>\n",
       "      <td>1.090700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37475</td>\n",
       "      <td>1.211800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37500</td>\n",
       "      <td>1.011300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37525</td>\n",
       "      <td>1.229000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37550</td>\n",
       "      <td>0.975300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37575</td>\n",
       "      <td>1.216600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37600</td>\n",
       "      <td>1.056800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37625</td>\n",
       "      <td>1.206100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37650</td>\n",
       "      <td>0.999000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37675</td>\n",
       "      <td>1.208400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37700</td>\n",
       "      <td>1.016300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37725</td>\n",
       "      <td>1.196500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37750</td>\n",
       "      <td>1.036100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37775</td>\n",
       "      <td>1.172300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37800</td>\n",
       "      <td>1.018600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37825</td>\n",
       "      <td>1.248500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37850</td>\n",
       "      <td>1.017600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37875</td>\n",
       "      <td>1.244900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37900</td>\n",
       "      <td>1.071200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37925</td>\n",
       "      <td>1.238400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37950</td>\n",
       "      <td>0.988500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37975</td>\n",
       "      <td>1.235900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38000</td>\n",
       "      <td>0.974300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38025</td>\n",
       "      <td>1.230200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38050</td>\n",
       "      <td>0.998100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38075</td>\n",
       "      <td>1.204800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38100</td>\n",
       "      <td>1.036700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38125</td>\n",
       "      <td>1.171600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38150</td>\n",
       "      <td>0.980200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38175</td>\n",
       "      <td>1.184000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38200</td>\n",
       "      <td>0.991700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38225</td>\n",
       "      <td>1.246200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38250</td>\n",
       "      <td>0.991900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38275</td>\n",
       "      <td>1.223400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38300</td>\n",
       "      <td>1.024900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38325</td>\n",
       "      <td>1.222000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38350</td>\n",
       "      <td>1.060600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38375</td>\n",
       "      <td>1.186400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38400</td>\n",
       "      <td>0.983800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38425</td>\n",
       "      <td>1.168800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38450</td>\n",
       "      <td>1.061400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38475</td>\n",
       "      <td>1.210300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38500</td>\n",
       "      <td>0.996700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38525</td>\n",
       "      <td>1.218300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38550</td>\n",
       "      <td>0.987300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38575</td>\n",
       "      <td>1.210200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38600</td>\n",
       "      <td>0.938800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38625</td>\n",
       "      <td>1.209100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38650</td>\n",
       "      <td>0.986100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38675</td>\n",
       "      <td>1.222100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38700</td>\n",
       "      <td>1.031500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38725</td>\n",
       "      <td>1.217500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38750</td>\n",
       "      <td>1.003800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38775</td>\n",
       "      <td>1.190200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38800</td>\n",
       "      <td>1.014800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38825</td>\n",
       "      <td>1.237700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38850</td>\n",
       "      <td>1.027900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38875</td>\n",
       "      <td>1.220600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38900</td>\n",
       "      <td>1.011400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38925</td>\n",
       "      <td>1.203000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38950</td>\n",
       "      <td>1.036200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38975</td>\n",
       "      <td>1.259800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39000</td>\n",
       "      <td>0.968000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39025</td>\n",
       "      <td>1.218900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39050</td>\n",
       "      <td>1.005700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39075</td>\n",
       "      <td>1.185700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39100</td>\n",
       "      <td>0.984200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39125</td>\n",
       "      <td>1.228700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39150</td>\n",
       "      <td>0.999900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39175</td>\n",
       "      <td>1.192900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39200</td>\n",
       "      <td>0.968800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39225</td>\n",
       "      <td>1.218200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39250</td>\n",
       "      <td>1.075500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39275</td>\n",
       "      <td>1.225300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39300</td>\n",
       "      <td>1.017800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39325</td>\n",
       "      <td>1.214800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39350</td>\n",
       "      <td>1.000600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39375</td>\n",
       "      <td>1.184400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39400</td>\n",
       "      <td>1.026900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39425</td>\n",
       "      <td>1.220700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39450</td>\n",
       "      <td>1.020600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39475</td>\n",
       "      <td>1.238600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39500</td>\n",
       "      <td>1.048000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39525</td>\n",
       "      <td>1.194500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39550</td>\n",
       "      <td>1.049400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39575</td>\n",
       "      <td>1.225500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39600</td>\n",
       "      <td>0.998000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39625</td>\n",
       "      <td>1.212800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39650</td>\n",
       "      <td>1.007100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39675</td>\n",
       "      <td>1.237500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39700</td>\n",
       "      <td>1.051700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39725</td>\n",
       "      <td>1.234400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39750</td>\n",
       "      <td>1.026700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39775</td>\n",
       "      <td>1.192700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39800</td>\n",
       "      <td>1.036100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39825</td>\n",
       "      <td>1.257600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39850</td>\n",
       "      <td>1.013100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39875</td>\n",
       "      <td>1.195100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39900</td>\n",
       "      <td>1.028000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39925</td>\n",
       "      <td>1.183400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39950</td>\n",
       "      <td>0.977300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39975</td>\n",
       "      <td>1.270300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40000</td>\n",
       "      <td>1.030900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40025</td>\n",
       "      <td>1.240200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40050</td>\n",
       "      <td>1.029100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40075</td>\n",
       "      <td>1.241600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40100</td>\n",
       "      <td>0.937700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40125</td>\n",
       "      <td>1.215500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40150</td>\n",
       "      <td>1.013400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40175</td>\n",
       "      <td>1.243300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40200</td>\n",
       "      <td>1.049800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40225</td>\n",
       "      <td>1.211400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40250</td>\n",
       "      <td>1.011300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40275</td>\n",
       "      <td>1.266800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40300</td>\n",
       "      <td>1.048800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40325</td>\n",
       "      <td>1.191700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40350</td>\n",
       "      <td>1.017200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40375</td>\n",
       "      <td>1.192400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40400</td>\n",
       "      <td>1.008900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40425</td>\n",
       "      <td>1.218400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40450</td>\n",
       "      <td>0.963800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40475</td>\n",
       "      <td>1.218700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40500</td>\n",
       "      <td>0.982600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40525</td>\n",
       "      <td>1.255700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40550</td>\n",
       "      <td>1.020500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40575</td>\n",
       "      <td>1.198500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40600</td>\n",
       "      <td>0.994100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40625</td>\n",
       "      <td>1.255900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40650</td>\n",
       "      <td>1.025200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40675</td>\n",
       "      <td>1.211700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40700</td>\n",
       "      <td>0.968600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40725</td>\n",
       "      <td>1.237300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40750</td>\n",
       "      <td>0.938000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40775</td>\n",
       "      <td>1.212100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40800</td>\n",
       "      <td>0.990800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40825</td>\n",
       "      <td>1.220100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40850</td>\n",
       "      <td>0.990600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40875</td>\n",
       "      <td>1.225500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40900</td>\n",
       "      <td>1.063300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40925</td>\n",
       "      <td>1.211700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40950</td>\n",
       "      <td>0.965100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40975</td>\n",
       "      <td>1.172700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41000</td>\n",
       "      <td>0.991000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41025</td>\n",
       "      <td>1.226000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41050</td>\n",
       "      <td>1.053500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41075</td>\n",
       "      <td>1.192800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41100</td>\n",
       "      <td>1.026400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41125</td>\n",
       "      <td>1.223300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41150</td>\n",
       "      <td>1.036000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41175</td>\n",
       "      <td>1.187600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41200</td>\n",
       "      <td>1.007800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41225</td>\n",
       "      <td>1.221100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41250</td>\n",
       "      <td>1.063000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41275</td>\n",
       "      <td>1.233400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41300</td>\n",
       "      <td>1.030300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41325</td>\n",
       "      <td>1.194600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41350</td>\n",
       "      <td>0.947700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41375</td>\n",
       "      <td>1.224600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41400</td>\n",
       "      <td>1.067500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41425</td>\n",
       "      <td>1.172500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41450</td>\n",
       "      <td>0.981400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41475</td>\n",
       "      <td>1.234600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41500</td>\n",
       "      <td>1.008500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41525</td>\n",
       "      <td>1.193800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41550</td>\n",
       "      <td>0.965500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41575</td>\n",
       "      <td>1.238000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41600</td>\n",
       "      <td>1.006300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41625</td>\n",
       "      <td>1.209200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41650</td>\n",
       "      <td>1.023200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41675</td>\n",
       "      <td>1.241900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41700</td>\n",
       "      <td>1.012000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41725</td>\n",
       "      <td>1.180400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41750</td>\n",
       "      <td>1.006800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41775</td>\n",
       "      <td>1.200500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41800</td>\n",
       "      <td>0.976100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41825</td>\n",
       "      <td>1.211200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41850</td>\n",
       "      <td>1.059900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41875</td>\n",
       "      <td>1.243700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41900</td>\n",
       "      <td>0.965600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41925</td>\n",
       "      <td>1.192600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41950</td>\n",
       "      <td>1.008300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41975</td>\n",
       "      <td>1.212400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42000</td>\n",
       "      <td>1.030300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42025</td>\n",
       "      <td>1.170000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42050</td>\n",
       "      <td>1.007500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42075</td>\n",
       "      <td>1.234400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42100</td>\n",
       "      <td>1.069300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42125</td>\n",
       "      <td>1.173400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42150</td>\n",
       "      <td>1.044800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42175</td>\n",
       "      <td>1.187600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42200</td>\n",
       "      <td>1.057700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42225</td>\n",
       "      <td>1.256500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42250</td>\n",
       "      <td>1.051500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42275</td>\n",
       "      <td>1.215700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42300</td>\n",
       "      <td>1.029300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42325</td>\n",
       "      <td>1.229100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42350</td>\n",
       "      <td>1.010400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42375</td>\n",
       "      <td>1.189300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42400</td>\n",
       "      <td>1.062100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42425</td>\n",
       "      <td>1.226800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42450</td>\n",
       "      <td>1.031000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42475</td>\n",
       "      <td>1.174700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42500</td>\n",
       "      <td>0.943700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42525</td>\n",
       "      <td>1.175900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42550</td>\n",
       "      <td>0.998100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42575</td>\n",
       "      <td>1.189100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42600</td>\n",
       "      <td>1.044900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42625</td>\n",
       "      <td>1.219100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42650</td>\n",
       "      <td>1.071100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42675</td>\n",
       "      <td>1.242900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42700</td>\n",
       "      <td>1.036700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42725</td>\n",
       "      <td>1.185800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42750</td>\n",
       "      <td>1.008100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42775</td>\n",
       "      <td>1.217600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42800</td>\n",
       "      <td>1.003900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42825</td>\n",
       "      <td>1.183500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42850</td>\n",
       "      <td>0.979700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42875</td>\n",
       "      <td>1.211200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42900</td>\n",
       "      <td>0.990600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42925</td>\n",
       "      <td>1.212600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42950</td>\n",
       "      <td>0.955500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42975</td>\n",
       "      <td>1.182000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43000</td>\n",
       "      <td>1.005600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43025</td>\n",
       "      <td>1.220500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43050</td>\n",
       "      <td>0.975600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43075</td>\n",
       "      <td>1.246700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43100</td>\n",
       "      <td>1.034100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43125</td>\n",
       "      <td>1.219800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43150</td>\n",
       "      <td>0.982400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43175</td>\n",
       "      <td>1.196200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43200</td>\n",
       "      <td>1.010600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43225</td>\n",
       "      <td>1.224300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43250</td>\n",
       "      <td>0.991600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43275</td>\n",
       "      <td>1.249300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43300</td>\n",
       "      <td>0.968000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43325</td>\n",
       "      <td>1.204100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43350</td>\n",
       "      <td>0.972300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43375</td>\n",
       "      <td>1.166800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43400</td>\n",
       "      <td>1.076400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43425</td>\n",
       "      <td>1.222400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43450</td>\n",
       "      <td>0.972600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43475</td>\n",
       "      <td>1.216500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43500</td>\n",
       "      <td>1.012900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43525</td>\n",
       "      <td>1.198800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43550</td>\n",
       "      <td>0.984800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43575</td>\n",
       "      <td>1.204900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43600</td>\n",
       "      <td>0.984200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43625</td>\n",
       "      <td>1.225700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43650</td>\n",
       "      <td>1.020700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43675</td>\n",
       "      <td>1.193600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43700</td>\n",
       "      <td>1.021200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43725</td>\n",
       "      <td>1.205700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43750</td>\n",
       "      <td>1.014500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43775</td>\n",
       "      <td>1.174300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43800</td>\n",
       "      <td>0.999700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43825</td>\n",
       "      <td>1.237700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43850</td>\n",
       "      <td>1.071900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43875</td>\n",
       "      <td>1.212400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43900</td>\n",
       "      <td>0.986700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43925</td>\n",
       "      <td>1.222600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43950</td>\n",
       "      <td>1.013100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43975</td>\n",
       "      <td>1.236000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44000</td>\n",
       "      <td>1.032900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44025</td>\n",
       "      <td>1.233700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44050</td>\n",
       "      <td>1.042900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44075</td>\n",
       "      <td>1.191800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44100</td>\n",
       "      <td>1.004500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44125</td>\n",
       "      <td>1.201100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44150</td>\n",
       "      <td>0.972600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44175</td>\n",
       "      <td>1.210700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44200</td>\n",
       "      <td>1.041600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44225</td>\n",
       "      <td>1.237200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44250</td>\n",
       "      <td>1.074300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44275</td>\n",
       "      <td>1.222800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44300</td>\n",
       "      <td>1.029000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44325</td>\n",
       "      <td>1.207900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44350</td>\n",
       "      <td>0.946000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44375</td>\n",
       "      <td>1.207400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44400</td>\n",
       "      <td>1.038500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44425</td>\n",
       "      <td>1.229500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44450</td>\n",
       "      <td>1.013300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44475</td>\n",
       "      <td>1.205100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44500</td>\n",
       "      <td>1.048100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44525</td>\n",
       "      <td>1.176600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44550</td>\n",
       "      <td>0.995900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44575</td>\n",
       "      <td>1.263900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44600</td>\n",
       "      <td>1.005600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44625</td>\n",
       "      <td>1.193600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44650</td>\n",
       "      <td>0.995200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44675</td>\n",
       "      <td>1.195000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44700</td>\n",
       "      <td>1.032200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44725</td>\n",
       "      <td>1.234900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44750</td>\n",
       "      <td>1.058700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44775</td>\n",
       "      <td>1.212400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44800</td>\n",
       "      <td>1.028900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44825</td>\n",
       "      <td>1.231000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44850</td>\n",
       "      <td>1.005200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44875</td>\n",
       "      <td>1.222500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44900</td>\n",
       "      <td>1.002700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44925</td>\n",
       "      <td>1.205300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44950</td>\n",
       "      <td>0.996900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44975</td>\n",
       "      <td>1.225200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45000</td>\n",
       "      <td>1.009700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45025</td>\n",
       "      <td>1.198600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45050</td>\n",
       "      <td>1.062300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45075</td>\n",
       "      <td>1.223400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45100</td>\n",
       "      <td>1.008900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45125</td>\n",
       "      <td>1.179100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45150</td>\n",
       "      <td>0.983700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45175</td>\n",
       "      <td>1.180100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45200</td>\n",
       "      <td>1.014900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45225</td>\n",
       "      <td>1.167600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45250</td>\n",
       "      <td>1.027300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45275</td>\n",
       "      <td>1.185800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45300</td>\n",
       "      <td>0.895300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45325</td>\n",
       "      <td>1.262500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45350</td>\n",
       "      <td>1.043900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45375</td>\n",
       "      <td>1.213900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45400</td>\n",
       "      <td>1.020900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45425</td>\n",
       "      <td>1.203800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45450</td>\n",
       "      <td>1.012200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45475</td>\n",
       "      <td>1.175000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45500</td>\n",
       "      <td>0.965300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45525</td>\n",
       "      <td>1.207100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45550</td>\n",
       "      <td>1.006900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45575</td>\n",
       "      <td>1.217300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45600</td>\n",
       "      <td>1.001800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45625</td>\n",
       "      <td>1.245100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45650</td>\n",
       "      <td>1.009100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45675</td>\n",
       "      <td>1.213600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45700</td>\n",
       "      <td>0.994000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45725</td>\n",
       "      <td>1.249800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45750</td>\n",
       "      <td>1.051400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45775</td>\n",
       "      <td>1.207200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45800</td>\n",
       "      <td>1.033800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45825</td>\n",
       "      <td>1.245700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45850</td>\n",
       "      <td>1.043700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45875</td>\n",
       "      <td>1.201000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45900</td>\n",
       "      <td>1.014700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45925</td>\n",
       "      <td>1.187400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45950</td>\n",
       "      <td>0.951900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45975</td>\n",
       "      <td>1.213800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46000</td>\n",
       "      <td>1.001600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46025</td>\n",
       "      <td>1.210000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46050</td>\n",
       "      <td>1.034300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46075</td>\n",
       "      <td>1.190900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46100</td>\n",
       "      <td>0.981400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46125</td>\n",
       "      <td>1.189300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46150</td>\n",
       "      <td>1.012900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46175</td>\n",
       "      <td>1.206400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46200</td>\n",
       "      <td>1.080300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46225</td>\n",
       "      <td>1.199800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46250</td>\n",
       "      <td>1.016600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46275</td>\n",
       "      <td>1.227800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46300</td>\n",
       "      <td>1.028400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46325</td>\n",
       "      <td>1.197300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46350</td>\n",
       "      <td>1.054400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46375</td>\n",
       "      <td>1.249700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46400</td>\n",
       "      <td>1.033100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46425</td>\n",
       "      <td>1.199500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46450</td>\n",
       "      <td>1.054000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46475</td>\n",
       "      <td>1.173100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46500</td>\n",
       "      <td>0.989600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46525</td>\n",
       "      <td>1.203400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46550</td>\n",
       "      <td>1.020700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46575</td>\n",
       "      <td>1.202500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46600</td>\n",
       "      <td>0.982500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46625</td>\n",
       "      <td>1.219000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46650</td>\n",
       "      <td>0.975300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46675</td>\n",
       "      <td>1.198500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46700</td>\n",
       "      <td>1.024300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46725</td>\n",
       "      <td>1.227800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46750</td>\n",
       "      <td>1.004000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46775</td>\n",
       "      <td>1.191200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46800</td>\n",
       "      <td>0.991400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46825</td>\n",
       "      <td>1.200800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46850</td>\n",
       "      <td>0.984700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46875</td>\n",
       "      <td>1.243800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46900</td>\n",
       "      <td>1.063300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46925</td>\n",
       "      <td>1.164200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46950</td>\n",
       "      <td>1.079300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46975</td>\n",
       "      <td>1.176200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47000</td>\n",
       "      <td>1.025400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47025</td>\n",
       "      <td>1.203500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47050</td>\n",
       "      <td>1.027100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47075</td>\n",
       "      <td>1.191400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47100</td>\n",
       "      <td>0.937400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47125</td>\n",
       "      <td>1.220100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47150</td>\n",
       "      <td>0.990800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47175</td>\n",
       "      <td>1.166100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47200</td>\n",
       "      <td>0.983800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47225</td>\n",
       "      <td>1.215400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47250</td>\n",
       "      <td>1.028600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47275</td>\n",
       "      <td>1.202100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47300</td>\n",
       "      <td>1.046900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47325</td>\n",
       "      <td>1.165300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47350</td>\n",
       "      <td>1.036600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47375</td>\n",
       "      <td>1.189600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47400</td>\n",
       "      <td>1.072900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47425</td>\n",
       "      <td>1.202400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47450</td>\n",
       "      <td>1.033100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47475</td>\n",
       "      <td>1.182200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47500</td>\n",
       "      <td>1.012200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><p>"
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    {
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     "output_type": "stream",
     "text": [
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
      "/home/sjbuhan/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
      "  warnings.warn('Was asked to gather along dimension 0, but all '\n"
     ]
    }
   ],
   "source": [
    "# LoRA Config\n",
    "peft_parameters = LoraConfig(\n",
    "    lora_alpha=16,\n",
    "    lora_dropout=0.1,\n",
    "    r=8,\n",
    "    bias=\"none\",\n",
    "    task_type=\"CAUSAL_LM\"\n",
    ")\n",
    "\n",
    "# Training Params\n",
    "train_params = TrainingArguments(\n",
    "    output_dir=\"./results_modified\",\n",
    "    num_train_epochs=1,\n",
    "    per_device_train_batch_size=4,\n",
    "    gradient_accumulation_steps=1,\n",
    "    optim=\"paged_adamw_32bit\",\n",
    "    save_steps=25,\n",
    "    logging_steps=25,\n",
    "    learning_rate=2e-4,\n",
    "    weight_decay=0.001,\n",
    "    fp16=False,\n",
    "    bf16=False,\n",
    "    max_grad_norm=0.3,\n",
    "    max_steps=-1,\n",
    "    warmup_ratio=0.03,\n",
    "    group_by_length=True,\n",
    "    lr_scheduler_type=\"constant\",\n",
    "    report_to=\"tensorboard\"\n",
    ")\n",
    "\n",
    "# Trainer\n",
    "fine_tuning = SFTTrainer(\n",
    "    model=base_model,\n",
    "    train_dataset=training_data,\n",
    "    peft_config=peft_parameters,\n",
    "    dataset_text_field=\"공조 정랑 조목이 퇴직을 청하다\",\n",
    "    tokenizer=llama_tokenizer,\n",
    "    args=train_params\n",
    ")\n",
    "\n",
    "# Training\n",
    "fine_tuning.train()\n",
    "\n",
    "# Save Model\n",
    "fine_tuning.model.save_pretrained(refined_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d41aaefb404e49e8b5b8ff8c9d8412d1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<s>[INST] 옥당이 시폐 상소 [/INST]  Here are some possible ways to address the issue of a colleague who is not pulling their weight in the workplace:\n",
      "\n",
      "1. Communicate directly and openly: It's important to address the issue directly with the colleague and not through gossip or rumors. Be specific about the behaviors or tasks that are causing concern and provide examples.\n",
      "2. Use \"I\" statements: Instead of accusing the colleague of not pulling their weight, use \"I\" statements to express your concerns. For example, \"I've noticed that you haven't been completing your tasks on time\" rather than \"You're not doing your job.\"\n",
      "3. Focus on the specific behaviors, not the person: Avoid making personal attacks or generalizations about the colleague's abilities. Instead, focus on the\n"
     ]
    }
   ],
   "source": [
    "# Generate Text\n",
    "query = \"옥당이 시폐 상소\"\n",
    "text_gen = pipeline(task=\"text-generation\", model=refined_model, tokenizer=llama_tokenizer, max_length=200)\n",
    "output = text_gen(f\"<s>[INST] {query} [/INST]\")\n",
    "print(output[0]['generated_text'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "prompt = \"Below is an incomplete sentence. Appropriately predict the next token of the sentence and complete the sentence.\"\n",
    "### Text: %s ### Response:\n",
    "\n",
    "def gen(x):\n",
    "    q = prompt % (x,)\n",
    "    gened = base_model.generate(\n",
    "        **llama_tokenizer(\n",
    "            q,\n",
    "            return_tensors='pt',\n",
    "            return_token_type_ids=False\n",
    "        ).to('cuda'),\n",
    "        max_new_tokens=2048,\n",
    "        early_stopping=True,\n",
    "        do_sample=True,\n",
    "    )\n",
    "    return llama_tokenizer.decode(gened[0]).replace(q, \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<s> 옥당이 시폐 상소를 올리다. 그들의 의견을 따르다. ### Text: 옥당이 죄를 청하다. ### Response: 옥당이 죄를 청하다. 그들의 의견을 따르다.</s>'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gen(\"옥당이 시폐 상소\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<s> 헌부의 죄를 다스리도록 하다. 헌부의 출사를 명하다. 헌부의 계사를 올리지 말도록 하다.</s>'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gen(\"헌부가 시약청에 내린 상이 과중\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<s> 흉년이 심하다고 잡아 올리다 않으면 형을 가하라고 하다. 이는 예조에서 아뢰다 처리하게 하다.</s>'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gen(\"헌부가 흉년이 들었으니 천금을 위 망을 치는 일을\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<s> 물러가도록 돈독하다. 그러니 물러가도록 당부하다. 약을 보내다. 접견하다. 치료하다. 술을 내리다. 반열에 나가다. 풍양에 가다. 몸소 치료하다. 약을 질려 주다. 매일 약을 입히다. 약으로 치료하다. 접견하다. 약을 올리다. 약을 쓰다.'"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gen(\"이조 판서 이산해가 신병으로 정사하자\")"
   ]
  }
 ],
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