vicuna_13b_v1_3_0_GPTQ.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Troyanovsky/Local-LLM-comparison/blob/main/vicuna_13b_v1_3_0_GPTQ.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XNkpBtLvuTOp"
      },
      "source": [
        "## vicuna-13b-v1.3.0-GPTQ WebUI\n",
        "1. Run the following cell, takes ~5 min\n",
        "2. Click the gradio link at the bottom\n",
        "3. In Chat settings - Instruction Template: Vicuna"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "473d801c-3986-4689-f3e0-d05a69f9e7bc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "Selecting previously unselected package libc-ares2:amd64.\n",
            "(Reading database ... 123069 files and directories currently installed.)\n",
            "Preparing to unpack .../libc-ares2_1.15.0-1ubuntu0.3_amd64.deb ...\n",
            "Unpacking libc-ares2:amd64 (1.15.0-1ubuntu0.3) ...\n",
            "Selecting previously unselected package libaria2-0:amd64.\n",
            "Preparing to unpack .../libaria2-0_1.35.0-1build1_amd64.deb ...\n",
            "Unpacking libaria2-0:amd64 (1.35.0-1build1) ...\n",
            "Selecting previously unselected package aria2.\n",
            "Preparing to unpack .../aria2_1.35.0-1build1_amd64.deb ...\n",
            "Unpacking aria2 (1.35.0-1build1) ...\n",
            "Setting up libc-ares2:amd64 (1.15.0-1ubuntu0.3) ...\n",
            "Setting up libaria2-0:amd64 (1.35.0-1build1) ...\n",
            "Setting up aria2 (1.35.0-1build1) ...\n",
            "Processing triggers for man-db (2.9.1-1) ...\n",
            "Processing triggers for libc-bin (2.31-0ubuntu9.9) ...\n",
            "Cloning into 'text-generation-webui'...\n",
            "remote: Enumerating objects: 8809, done.\u001b[K\n",
            "remote: Counting objects: 100% (238/238), done.\u001b[K\n",
            "remote: Compressing objects: 100% (141/141), done.\u001b[K\n",
            "remote: Total 8809 (delta 124), reused 173 (delta 93), pack-reused 8571\u001b[K\n",
            "Receiving objects: 100% (8809/8809), 2.98 MiB | 15.80 MiB/s, done.\n",
            "Resolving deltas: 100% (5859/5859), done.\n",
            "Note: switching to 'e52b43c934f412fa2ddf9d90db6cb088e7295689'.\n",
            "\n",
            "You are in 'detached HEAD' state. You can look around, make experimental\n",
            "changes and commit them, and you can discard any commits you make in this\n",
            "state without impacting any branches by switching back to a branch.\n",
            "\n",
            "If you want to create a new branch to retain commits you create, you may\n",
            "do so (now or later) by using -c with the switch command. Example:\n",
            "\n",
            "  git switch -c <new-branch-name>\n",
            "\n",
            "Or undo this operation with:\n",
            "\n",
            "  git switch -\n",
            "\n",
            "Turn off this advice by setting config variable advice.detachedHead to false\n",
            "\n",
            "/content/text-generation-webui\n",
            "Collecting git+https://github.com/huggingface/peft@3714aa2fff158fdfa637b2b65952580801d890b2 (from -r requirements.txt (line 17))\n",
            "  Cloning https://github.com/huggingface/peft (to revision 3714aa2fff158fdfa637b2b65952580801d890b2) to /tmp/pip-req-build-dmygjt92\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/peft /tmp/pip-req-build-dmygjt92\n",
            "  Running command git rev-parse -q --verify 'sha^3714aa2fff158fdfa637b2b65952580801d890b2'\n",
            "  Running command git fetch -q https://github.com/huggingface/peft 3714aa2fff158fdfa637b2b65952580801d890b2\n",
            "  Running command git checkout -q 3714aa2fff158fdfa637b2b65952580801d890b2\n",
            "  Resolved https://github.com/huggingface/peft to commit 3714aa2fff158fdfa637b2b65952580801d890b2\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting git+https://github.com/huggingface/transformers@e45e756d22206ca8fa9fb057c8c3d8fa79bf81c6 (from -r requirements.txt (line 18))\n",
            "  Cloning https://github.com/huggingface/transformers (to revision e45e756d22206ca8fa9fb057c8c3d8fa79bf81c6) to /tmp/pip-req-build-os38scff\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-os38scff\n",
            "  Running command git rev-parse -q --verify 'sha^e45e756d22206ca8fa9fb057c8c3d8fa79bf81c6'\n",
            "  Running command git fetch -q https://github.com/huggingface/transformers e45e756d22206ca8fa9fb057c8c3d8fa79bf81c6\n",
            "  Running command git checkout -q e45e756d22206ca8fa9fb057c8c3d8fa79bf81c6\n",
            "  Resolved https://github.com/huggingface/transformers to commit e45e756d22206ca8fa9fb057c8c3d8fa79bf81c6\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting git+https://github.com/huggingface/accelerate@0226f750257b3bf2cadc4f189f9eef0c764a0467 (from -r requirements.txt (line 19))\n",
            "  Cloning https://github.com/huggingface/accelerate (to revision 0226f750257b3bf2cadc4f189f9eef0c764a0467) to /tmp/pip-req-build-w_wy937e\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/accelerate /tmp/pip-req-build-w_wy937e\n",
            "  Running command git rev-parse -q --verify 'sha^0226f750257b3bf2cadc4f189f9eef0c764a0467'\n",
            "  Running command git fetch -q https://github.com/huggingface/accelerate 0226f750257b3bf2cadc4f189f9eef0c764a0467\n",
            "  Running command git checkout -q 0226f750257b3bf2cadc4f189f9eef0c764a0467\n",
            "  Resolved https://github.com/huggingface/accelerate to commit 0226f750257b3bf2cadc4f189f9eef0c764a0467\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Ignoring bitsandbytes: markers 'platform_system == \"Windows\"' don't match your environment\n",
            "Ignoring llama-cpp-python: markers 'platform_system == \"Windows\"' don't match your environment\n",
            "Collecting colorama (from -r requirements.txt (line 1))\n",
            "  Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n",
            "Collecting datasets (from -r requirements.txt (line 2))\n",
            "  Downloading datasets-2.13.1-py3-none-any.whl (486 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m486.2/486.2 kB\u001b[0m \u001b[31m10.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting einops (from -r requirements.txt (line 3))\n",
            "  Downloading einops-0.6.1-py3-none-any.whl (42 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.2/42.2 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting flexgen==0.1.7 (from -r requirements.txt (line 4))\n",
            "  Downloading flexgen-0.1.7-py3-none-any.whl (50 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.8/50.8 kB\u001b[0m \u001b[31m5.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting gradio_client==0.2.5 (from -r requirements.txt (line 5))\n",
            "  Downloading gradio_client-0.2.5-py3-none-any.whl (288 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.1/288.1 kB\u001b[0m \u001b[31m29.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting gradio==3.31.0 (from -r requirements.txt (line 6))\n",
            "  Downloading gradio-3.31.0-py3-none-any.whl (17.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.4/17.4 MB\u001b[0m \u001b[31m27.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: markdown in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 7)) (3.4.3)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 8)) (1.22.4)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 9)) (1.5.3)\n",
            "Collecting Pillow>=9.5.0 (from -r requirements.txt (line 10))\n",
            "  Downloading Pillow-9.5.0-cp310-cp310-manylinux_2_28_x86_64.whl (3.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.4/3.4 MB\u001b[0m \u001b[31m78.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 11)) (6.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 12)) (2.27.1)\n",
            "Collecting safetensors==0.3.1 (from -r requirements.txt (line 13))\n",
            "  Downloading safetensors-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m68.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting sentencepiece (from -r requirements.txt (line 14))\n",
            "  Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m67.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 15)) (4.65.0)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 16)) (1.10.1)\n",
            "Collecting bitsandbytes==0.39.0 (from -r requirements.txt (line 20))\n",
            "  Downloading bitsandbytes-0.39.0-py3-none-any.whl (92.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.2/92.2 MB\u001b[0m \u001b[31m9.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting llama-cpp-python==0.1.56 (from -r requirements.txt (line 22))\n",
            "  Downloading llama_cpp_python-0.1.56.tar.gz (1.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.4/1.4 MB\u001b[0m \u001b[31m91.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: torch>=1.12 in /usr/local/lib/python3.10/dist-packages (from flexgen==0.1.7->-r requirements.txt (line 4)) (2.0.1+cu118)\n",
            "Collecting pulp (from flexgen==0.1.7->-r requirements.txt (line 4))\n",
            "  Downloading PuLP-2.7.0-py3-none-any.whl (14.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m14.3/14.3 MB\u001b[0m \u001b[31m32.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: attrs in /usr/local/lib/python3.10/dist-packages (from flexgen==0.1.7->-r requirements.txt (line 4)) (23.1.0)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from gradio_client==0.2.5->-r requirements.txt (line 5)) (2023.6.0)\n",
            "Collecting httpx (from gradio_client==0.2.5->-r requirements.txt (line 5))\n",
            "  Downloading httpx-0.24.1-py3-none-any.whl (75 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.4/75.4 kB\u001b[0m \u001b[31m10.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting huggingface-hub>=0.13.0 (from gradio_client==0.2.5->-r requirements.txt (line 5))\n",
            "  Downloading huggingface_hub-0.15.1-py3-none-any.whl (236 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m236.8/236.8 kB\u001b[0m \u001b[31m31.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from gradio_client==0.2.5->-r requirements.txt (line 5)) (23.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from gradio_client==0.2.5->-r requirements.txt (line 5)) (4.6.3)\n",
            "Collecting websockets (from gradio_client==0.2.5->-r requirements.txt (line 5))\n",
            "  Downloading websockets-11.0.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.9/129.9 kB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting aiofiles (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading aiofiles-23.1.0-py3-none-any.whl (14 kB)\n",
            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from gradio==3.31.0->-r requirements.txt (line 6)) (3.8.4)\n",
            "Requirement already satisfied: altair>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.31.0->-r requirements.txt (line 6)) (4.2.2)\n",
            "Collecting fastapi (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading fastapi-0.98.0-py3-none-any.whl (56 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.0/57.0 kB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting ffmpy (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading ffmpy-0.3.0.tar.gz (4.8 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from gradio==3.31.0->-r requirements.txt (line 6)) (3.1.2)\n",
            "Requirement already satisfied: markdown-it-py[linkify]>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.31.0->-r requirements.txt (line 6)) (3.0.0)\n",
            "Requirement already satisfied: markupsafe in /usr/local/lib/python3.10/dist-packages (from gradio==3.31.0->-r requirements.txt (line 6)) (2.1.3)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from gradio==3.31.0->-r requirements.txt (line 6)) (3.7.1)\n",
            "Collecting mdit-py-plugins<=0.3.3 (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading mdit_py_plugins-0.3.3-py3-none-any.whl (50 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.5/50.5 kB\u001b[0m \u001b[31m7.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting orjson (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading orjson-3.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (136 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.0/137.0 kB\u001b[0m \u001b[31m17.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: pydantic in /usr/local/lib/python3.10/dist-packages (from gradio==3.31.0->-r requirements.txt (line 6)) (1.10.9)\n",
            "Collecting pydub (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
            "Requirement already satisfied: pygments>=2.12.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.31.0->-r requirements.txt (line 6)) (2.14.0)\n",
            "Collecting python-multipart (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading python_multipart-0.0.6-py3-none-any.whl (45 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.7/45.7 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting semantic-version (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)\n",
            "Collecting uvicorn>=0.14.0 (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading uvicorn-0.22.0-py3-none-any.whl (58 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: pyarrow>=8.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets->-r requirements.txt (line 2)) (9.0.0)\n",
            "Collecting dill<0.3.7,>=0.3.0 (from datasets->-r requirements.txt (line 2))\n",
            "  Downloading dill-0.3.6-py3-none-any.whl (110 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m110.5/110.5 kB\u001b[0m \u001b[31m14.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting xxhash (from datasets->-r requirements.txt (line 2))\n",
            "  Downloading xxhash-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (212 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m212.5/212.5 kB\u001b[0m \u001b[31m19.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting multiprocess (from datasets->-r requirements.txt (line 2))\n",
            "  Downloading multiprocess-0.70.14-py310-none-any.whl (134 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.3/134.3 kB\u001b[0m \u001b[31m18.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->-r requirements.txt (line 9)) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->-r requirements.txt (line 9)) (2022.7.1)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->-r requirements.txt (line 12)) (1.26.16)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->-r requirements.txt (line 12)) (2023.5.7)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->-r requirements.txt (line 12)) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->-r requirements.txt (line 12)) (3.4)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from peft==0.4.0.dev0->-r requirements.txt (line 17)) (5.9.5)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.30.0.dev0->-r requirements.txt (line 18)) (3.12.2)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.30.0.dev0->-r requirements.txt (line 18)) (2022.10.31)\n",
            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers==4.30.0.dev0->-r requirements.txt (line 18))\n",
            "  Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m87.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: entrypoints in /usr/local/lib/python3.10/dist-packages (from altair>=4.2.0->gradio==3.31.0->-r requirements.txt (line 6)) (0.4)\n",
            "Requirement already satisfied: jsonschema>=3.0 in /usr/local/lib/python3.10/dist-packages (from altair>=4.2.0->gradio==3.31.0->-r requirements.txt (line 6)) (4.3.3)\n",
            "Requirement already satisfied: toolz in /usr/local/lib/python3.10/dist-packages (from altair>=4.2.0->gradio==3.31.0->-r requirements.txt (line 6)) (0.12.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.31.0->-r requirements.txt (line 6)) (6.0.4)\n",
            "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.31.0->-r requirements.txt (line 6)) (4.0.2)\n",
            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.31.0->-r requirements.txt (line 6)) (1.9.2)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.31.0->-r requirements.txt (line 6)) (1.3.3)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.31.0->-r requirements.txt (line 6)) (1.3.1)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py[linkify]>=2.0.0->gradio==3.31.0->-r requirements.txt (line 6)) (0.1.2)\n",
            "Collecting linkify-it-py<3,>=1 (from markdown-it-py[linkify]>=2.0.0->gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading linkify_it_py-2.0.2-py3-none-any.whl (19 kB)\n",
            "INFO: pip is looking at multiple versions of mdit-py-plugins to determine which version is compatible with other requirements. This could take a while.\n",
            "Collecting mdit-py-plugins<=0.3.3 (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading mdit_py_plugins-0.3.2-py3-none-any.whl (50 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.4/50.4 kB\u001b[0m \u001b[31m6.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading mdit_py_plugins-0.3.1-py3-none-any.whl (46 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.5/46.5 kB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading mdit_py_plugins-0.3.0-py3-none-any.whl (43 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m43.7/43.7 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading mdit_py_plugins-0.2.8-py3-none-any.whl (41 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.0/41.0 kB\u001b[0m \u001b[31m5.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading mdit_py_plugins-0.2.7-py3-none-any.whl (41 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.0/41.0 kB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading mdit_py_plugins-0.2.6-py3-none-any.whl (39 kB)\n",
            "  Downloading mdit_py_plugins-0.2.5-py3-none-any.whl (39 kB)\n",
            "INFO: pip is looking at multiple versions of mdit-py-plugins to determine which version is compatible with other requirements. This could take a while.\n",
            "  Downloading mdit_py_plugins-0.2.4-py3-none-any.whl (39 kB)\n",
            "  Downloading mdit_py_plugins-0.2.3-py3-none-any.whl (39 kB)\n",
            "  Downloading mdit_py_plugins-0.2.2-py3-none-any.whl (39 kB)\n",
            "  Downloading mdit_py_plugins-0.2.1-py3-none-any.whl (38 kB)\n",
            "  Downloading mdit_py_plugins-0.2.0-py3-none-any.whl (38 kB)\n",
            "INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n",
            "  Downloading mdit_py_plugins-0.1.0-py3-none-any.whl (37 kB)\n",
            "Collecting markdown-it-py[linkify]>=2.0.0 (from gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading markdown_it_py-3.0.0-py3-none-any.whl (87 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m87.5/87.5 kB\u001b[0m \u001b[31m11.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Downloading markdown_it_py-2.2.0-py3-none-any.whl (84 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.5/84.5 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->-r requirements.txt (line 9)) (1.16.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.12->flexgen==0.1.7->-r requirements.txt (line 4)) (1.11.1)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.12->flexgen==0.1.7->-r requirements.txt (line 4)) (3.1)\n",
            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.12->flexgen==0.1.7->-r requirements.txt (line 4)) (2.0.0)\n",
            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.12->flexgen==0.1.7->-r requirements.txt (line 4)) (3.25.2)\n",
            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.12->flexgen==0.1.7->-r requirements.txt (line 4)) (16.0.6)\n",
            "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from uvicorn>=0.14.0->gradio==3.31.0->-r requirements.txt (line 6)) (8.1.3)\n",
            "Collecting h11>=0.8 (from uvicorn>=0.14.0->gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m8.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting starlette<0.28.0,>=0.27.0 (from fastapi->gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading starlette-0.27.0-py3-none-any.whl (66 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.0/67.0 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting httpcore<0.18.0,>=0.15.0 (from httpx->gradio_client==0.2.5->-r requirements.txt (line 5))\n",
            "  Downloading httpcore-0.17.2-py3-none-any.whl (72 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m72.5/72.5 kB\u001b[0m \u001b[31m10.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx->gradio_client==0.2.5->-r requirements.txt (line 5)) (1.3.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.31.0->-r requirements.txt (line 6)) (1.1.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.31.0->-r requirements.txt (line 6)) (0.11.0)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.31.0->-r requirements.txt (line 6)) (4.40.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.31.0->-r requirements.txt (line 6)) (1.4.4)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.31.0->-r requirements.txt (line 6)) (3.1.0)\n",
            "Requirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.10/dist-packages (from httpcore<0.18.0,>=0.15.0->httpx->gradio_client==0.2.5->-r requirements.txt (line 5)) (3.7.0)\n",
            "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair>=4.2.0->gradio==3.31.0->-r requirements.txt (line 6)) (0.19.3)\n",
            "Collecting uc-micro-py (from linkify-it-py<3,>=1->markdown-it-py[linkify]>=2.0.0->gradio==3.31.0->-r requirements.txt (line 6))\n",
            "  Downloading uc_micro_py-1.0.2-py3-none-any.whl (6.2 kB)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.12->flexgen==0.1.7->-r requirements.txt (line 4)) (1.3.0)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx->gradio_client==0.2.5->-r requirements.txt (line 5)) (1.1.1)\n",
            "Building wheels for collected packages: llama-cpp-python, peft, transformers, accelerate, ffmpy\n",
            "  Building wheel for llama-cpp-python (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for llama-cpp-python: filename=llama_cpp_python-0.1.56-cp310-cp310-linux_x86_64.whl size=210595 sha256=92c05fc3edc53b1612d7e43b1c51eec36197b4823440a83131dae5eb6e0ac432\n",
            "  Stored in directory: /root/.cache/pip/wheels/81/ab/27/4fedca13e6164e94a70a061310cd011c894fc699559af26edf\n",
            "  Building wheel for peft (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for peft: filename=peft-0.4.0.dev0-py3-none-any.whl size=56971 sha256=0a2e76ece961aabc6605f95dd2ddcd13668233fa8679e966c1ec6b5118954a89\n",
            "  Stored in directory: /root/.cache/pip/wheels/5f/d0/6d/4b23d09e9ae6a2be26784237ac5b1801ee19fb9c2b2597b374\n",
            "  Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for transformers: filename=transformers-4.30.0.dev0-py3-none-any.whl size=7102790 sha256=d1d7bae92f84d5fedf83224b5db5f2b499360423e8157d4e6b65ba040d5f6a89\n",
            "  Stored in directory: /root/.cache/pip/wheels/31/a7/0d/74848287c66e147f41c6ae09e116236d00775d52a84c862021\n",
            "  Building wheel for accelerate (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for accelerate: filename=accelerate-0.20.0.dev0-py3-none-any.whl size=225769 sha256=279769a18fc466ac5ad2cc347be96740df1e15036ff6b87b68656d55d4206ee9\n",
            "  Stored in directory: /root/.cache/pip/wheels/1e/61/eb/5c95b515e16875f1653f1b8bc1fb7c9b35c6eee91cd97b829a\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4694 sha256=702899a3b6e02a566c0ea984a4e1568376c636204b13f1e6775380eb49a7d18c\n",
            "  Stored in directory: /root/.cache/pip/wheels/0c/c2/0e/3b9c6845c6a4e35beb90910cc70d9ac9ab5d47402bd62af0df\n",
            "Successfully built llama-cpp-python peft transformers accelerate ffmpy\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, pydub, pulp, ffmpy, bitsandbytes, xxhash, websockets, uc-micro-py, semantic-version, python-multipart, Pillow, orjson, markdown-it-py, llama-cpp-python, h11, einops, dill, colorama, aiofiles, uvicorn, starlette, multiprocess, mdit-py-plugins, linkify-it-py, huggingface-hub, httpcore, transformers, httpx, fastapi, gradio_client, datasets, gradio, accelerate, peft, flexgen\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: Pillow 8.4.0\n",
            "    Uninstalling Pillow-8.4.0:\n",
            "      Successfully uninstalled Pillow-8.4.0\n",
            "  Attempting uninstall: markdown-it-py\n",
            "    Found existing installation: markdown-it-py 3.0.0\n",
            "    Uninstalling markdown-it-py-3.0.0:\n",
            "      Successfully uninstalled markdown-it-py-3.0.0\n",
            "Successfully installed Pillow-9.5.0 accelerate-0.20.0.dev0 aiofiles-23.1.0 bitsandbytes-0.39.0 colorama-0.4.6 datasets-2.13.1 dill-0.3.6 einops-0.6.1 fastapi-0.98.0 ffmpy-0.3.0 flexgen-0.1.7 gradio-3.31.0 gradio_client-0.2.5 h11-0.14.0 httpcore-0.17.2 httpx-0.24.1 huggingface-hub-0.15.1 linkify-it-py-2.0.2 llama-cpp-python-0.1.56 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 multiprocess-0.70.14 orjson-3.9.1 peft-0.4.0.dev0 pulp-2.7.0 pydub-0.25.1 python-multipart-0.0.6 safetensors-0.3.1 semantic-version-2.10.0 sentencepiece-0.1.99 starlette-0.27.0 tokenizers-0.13.3 transformers-4.30.0.dev0 uc-micro-py-1.0.2 uvicorn-0.22.0 websockets-11.0.3 xxhash-3.2.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting gradio==3.32.0\n",
            "  Downloading gradio-3.32.0-py3-none-any.whl (19.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.9/19.9 MB\u001b[0m \u001b[31m53.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: aiofiles in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (23.1.0)\n",
            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (3.8.4)\n",
            "Requirement already satisfied: altair>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (4.2.2)\n",
            "Requirement already satisfied: fastapi in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (0.98.0)\n",
            "Requirement already satisfied: ffmpy in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (0.3.0)\n",
            "Requirement already satisfied: gradio-client>=0.2.4 in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (0.2.5)\n",
            "Requirement already satisfied: httpx in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (0.24.1)\n",
            "Requirement already satisfied: huggingface-hub>=0.13.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (0.15.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (3.1.2)\n",
            "Requirement already satisfied: markdown-it-py[linkify]>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (2.2.0)\n",
            "Requirement already satisfied: markupsafe in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (2.1.3)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (3.7.1)\n",
            "Requirement already satisfied: mdit-py-plugins<=0.3.3 in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (0.3.3)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (1.22.4)\n",
            "Requirement already satisfied: orjson in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (3.9.1)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (1.5.3)\n",
            "Requirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (9.5.0)\n",
            "Requirement already satisfied: pydantic in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (1.10.9)\n",
            "Requirement already satisfied: pydub in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (0.25.1)\n",
            "Requirement already satisfied: pygments>=2.12.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (2.14.0)\n",
            "Requirement already satisfied: python-multipart in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (0.0.6)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (6.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (2.27.1)\n",
            "Requirement already satisfied: semantic-version in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (2.10.0)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (4.6.3)\n",
            "Requirement already satisfied: uvicorn>=0.14.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (0.22.0)\n",
            "Requirement already satisfied: websockets>=10.0 in /usr/local/lib/python3.10/dist-packages (from gradio==3.32.0) (11.0.3)\n",
            "Requirement already satisfied: entrypoints in /usr/local/lib/python3.10/dist-packages (from altair>=4.2.0->gradio==3.32.0) (0.4)\n",
            "Requirement already satisfied: jsonschema>=3.0 in /usr/local/lib/python3.10/dist-packages (from altair>=4.2.0->gradio==3.32.0) (4.3.3)\n",
            "Requirement already satisfied: toolz in /usr/local/lib/python3.10/dist-packages (from altair>=4.2.0->gradio==3.32.0) (0.12.0)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from gradio-client>=0.2.4->gradio==3.32.0) (2023.6.0)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from gradio-client>=0.2.4->gradio==3.32.0) (23.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.13.0->gradio==3.32.0) (3.12.2)\n",
            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.13.0->gradio==3.32.0) (4.65.0)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py[linkify]>=2.0.0->gradio==3.32.0) (0.1.2)\n",
            "Requirement already satisfied: linkify-it-py<3,>=1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py[linkify]>=2.0.0->gradio==3.32.0) (2.0.2)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->gradio==3.32.0) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->gradio==3.32.0) (2022.7.1)\n",
            "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from uvicorn>=0.14.0->gradio==3.32.0) (8.1.3)\n",
            "Requirement already satisfied: h11>=0.8 in /usr/local/lib/python3.10/dist-packages (from uvicorn>=0.14.0->gradio==3.32.0) (0.14.0)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.32.0) (23.1.0)\n",
            "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.32.0) (2.0.12)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.32.0) (6.0.4)\n",
            "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.32.0) (4.0.2)\n",
            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.32.0) (1.9.2)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.32.0) (1.3.3)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->gradio==3.32.0) (1.3.1)\n",
            "Requirement already satisfied: starlette<0.28.0,>=0.27.0 in /usr/local/lib/python3.10/dist-packages (from fastapi->gradio==3.32.0) (0.27.0)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx->gradio==3.32.0) (2023.5.7)\n",
            "Requirement already satisfied: httpcore<0.18.0,>=0.15.0 in /usr/local/lib/python3.10/dist-packages (from httpx->gradio==3.32.0) (0.17.2)\n",
            "Requirement already satisfied: idna in /usr/local/lib/python3.10/dist-packages (from httpx->gradio==3.32.0) (3.4)\n",
            "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx->gradio==3.32.0) (1.3.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.32.0) (1.1.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.32.0) (0.11.0)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.32.0) (4.40.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.32.0) (1.4.4)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->gradio==3.32.0) (3.1.0)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->gradio==3.32.0) (1.26.16)\n",
            "Requirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.10/dist-packages (from httpcore<0.18.0,>=0.15.0->httpx->gradio==3.32.0) (3.7.0)\n",
            "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair>=4.2.0->gradio==3.32.0) (0.19.3)\n",
            "Requirement already satisfied: uc-micro-py in /usr/local/lib/python3.10/dist-packages (from linkify-it-py<3,>=1->markdown-it-py[linkify]>=2.0.0->gradio==3.32.0) (1.0.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->gradio==3.32.0) (1.16.0)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx->gradio==3.32.0) (1.1.1)\n",
            "Installing collected packages: gradio\n",
            "  Attempting uninstall: gradio\n",
            "    Found existing installation: gradio 3.31.0\n",
            "    Uninstalling gradio-3.31.0:\n",
            "      Successfully uninstalled gradio-3.31.0\n",
            "Successfully installed gradio-3.32.0\n",
            "/content/text-generation-webui/repositories\n",
            "Cloning into 'GPTQ-for-LLaMa'...\n",
            "remote: Enumerating objects: 818, done.\u001b[K\n",
            "remote: Counting objects: 100% (818/818), done.\u001b[K\n",
            "remote: Compressing objects: 100% (324/324), done.\u001b[K\n",
            "remote: Total 818 (delta 496), reused 794 (delta 489), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (818/818), 472.67 KiB | 4.46 MiB/s, done.\n",
            "Resolving deltas: 100% (496/496), done.\n",
            "Note: switching to '53a2aeac935b7eef0e1451eb7b465fea4f318e7a'.\n",
            "\n",
            "You are in 'detached HEAD' state. You can look around, make experimental\n",
            "changes and commit them, and you can discard any commits you make in this\n",
            "state without impacting any branches by switching back to a branch.\n",
            "\n",
            "If you want to create a new branch to retain commits you create, you may\n",
            "do so (now or later) by using -c with the switch command. Example:\n",
            "\n",
            "  git switch -c <new-branch-name>\n",
            "\n",
            "Or undo this operation with:\n",
            "\n",
            "  git switch -\n",
            "\n",
            "Turn off this advice by setting config variable advice.detachedHead to false\n",
            "\n",
            "/content/text-generation-webui/repositories/GPTQ-for-LLaMa\n",
            "running install\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        Please avoid running ``setup.py`` directly.\n",
            "        Instead, use pypa/build, pypa/installer, pypa/build or\n",
            "        other standards-based tools.\n",
            "\n",
            "        See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  self.initialize_options()\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/cmd.py:66: EasyInstallDeprecationWarning: easy_install command is deprecated.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        Please avoid running ``setup.py`` and ``easy_install``.\n",
            "        Instead, use pypa/build, pypa/installer, pypa/build or\n",
            "        other standards-based tools.\n",
            "\n",
            "        See https://github.com/pypa/setuptools/issues/917 for details.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  self.initialize_options()\n",
            "running bdist_egg\n",
            "running egg_info\n",
            "creating quant_cuda.egg-info\n",
            "writing quant_cuda.egg-info/PKG-INFO\n",
            "writing dependency_links to quant_cuda.egg-info/dependency_links.txt\n",
            "writing top-level names to quant_cuda.egg-info/top_level.txt\n",
            "writing manifest file 'quant_cuda.egg-info/SOURCES.txt'\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/cpp_extension.py:476: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.\n",
            "  warnings.warn(msg.format('we could not find ninja.'))\n",
            "reading manifest file 'quant_cuda.egg-info/SOURCES.txt'\n",
            "writing manifest file 'quant_cuda.egg-info/SOURCES.txt'\n",
            "installing library code to build/bdist.linux-x86_64/egg\n",
            "running install_lib\n",
            "running build_ext\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/cpp_extension.py:398: UserWarning: There are no x86_64-linux-gnu-g++ version bounds defined for CUDA version 11.8\n",
            "  warnings.warn(f'There are no {compiler_name} version bounds defined for CUDA version {cuda_str_version}')\n",
            "building 'quant_cuda' extension\n",
            "creating build\n",
            "creating build/temp.linux-x86_64-cpython-310\n",
            "x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/local/lib/python3.10/dist-packages/torch/include -I/usr/local/lib/python3.10/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.10/dist-packages/torch/include/TH -I/usr/local/lib/python3.10/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.10 -c quant_cuda.cpp -o build/temp.linux-x86_64-cpython-310/quant_cuda.o -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\\\"_gcc\\\" -DPYBIND11_STDLIB=\\\"_libstdcpp\\\" -DPYBIND11_BUILD_ABI=\\\"_cxxabi1011\\\" -DTORCH_EXTENSION_NAME=quant_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++17\n",
            "/usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.10/dist-packages/torch/include -I/usr/local/lib/python3.10/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.10/dist-packages/torch/include/TH -I/usr/local/lib/python3.10/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.10 -c quant_cuda_kernel.cu -o build/temp.linux-x86_64-cpython-310/quant_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\\\"_gcc\\\" -DPYBIND11_STDLIB=\\\"_libstdcpp\\\" -DPYBIND11_BUILD_ABI=\\\"_cxxabi1011\\\" -DTORCH_EXTENSION_NAME=quant_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=compute_75 -gencode=arch=compute_75,code=sm_75 -std=c++17\n",
            "\u001b[01m\u001b[0m\u001b[01m/usr/local/lib/python3.10/dist-packages/torch/include/c10/util/irange.h(54)\u001b[0m: \u001b[01;35mwarning\u001b[0m #186-D: pointless comparison of unsigned integer with zero\n",
            "          detected during:\n",
            "            instantiation of \u001b[01m\"__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]\"\u001b[0m \u001b[32m\n",
            "(61): here\u001b[0m\n",
            "            instantiation of \u001b[01m\"__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]\"\u001b[0m \u001b[32m\n",
            "/usr/local/lib/python3.10/dist-packages/torch/include/c10/core/TensorImpl.h(77): here\u001b[0m\n",
            "\n",
            "\u001b[01m\u001b[0m\u001b[01m/usr/local/lib/python3.10/dist-packages/torch/include/c10/util/irange.h(54)\u001b[0m: \u001b[01;35mwarning\u001b[0m #186-D: pointless comparison of unsigned integer with zero\n",
            "          detected during:\n",
            "            instantiation of \u001b[01m\"__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]\"\u001b[0m \u001b[32m\n",
            "(61): here\u001b[0m\n",
            "            instantiation of \u001b[01m\"__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]\"\u001b[0m \u001b[32m\n",
            "/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/qualified_name.h(73): here\u001b[0m\n",
            "\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:41:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:222:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  222 | \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:163:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/Dispatch.h:122:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  122 | \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties& t) {\n",
            "      | \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:163:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/Dispatch.h:122:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  122 | \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties& t) {\n",
            "      | \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:1011:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:1032:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:1056:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:1083:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:1106:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:1999:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:2020:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:2043:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:2069:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:166:2092:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  166 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:41:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:222:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  222 | \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:163:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/Dispatch.h:122:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  122 | \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties& t) {\n",
            "      | \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:163:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/Dispatch.h:122:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  122 | \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties& t) {\n",
            "      | \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:1011:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:1032:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:1056:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:1083:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:1106:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:1999:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:2020:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:2043:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:2069:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:261:2092:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  261 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:41:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:222:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  222 | \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:163:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/Dispatch.h:122:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  122 | \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties& t) {\n",
            "      | \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:163:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/Dispatch.h:122:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  122 | \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties& t) {\n",
            "      | \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:1011:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:1032:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:1056:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:1083:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:1106:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:1999:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:2020:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:2043:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:2069:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:420:2092:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  420 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:41:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kat::DeprecatedTypeProperties& at::Tensor::type() const\u001b[m\u001b[K’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                         \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:222:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  222 | \u001b[01;36m\u001b[K  De\u001b[m\u001b[KprecatedTypeProperties & type() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:163:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/Dispatch.h:122:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  122 | \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties& t) {\n",
            "      | \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:163:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/Dispatch.h:122:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  122 | \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties& t) {\n",
            "      | \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:1011:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:1032:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:1056:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:1083:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:1106:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:\u001b[m\u001b[K In lambda function:\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:1999:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:2020:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:2043:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:2069:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[Kquant_cuda_kernel.cu:507:2092:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = int]\u001b[m\u001b[K’ is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
            "  507 |   AT_DISPATCH_FLOATING_TYPES(\n",
            "      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
            "\u001b[01m\u001b[K/usr/local/lib/python3.10/dist-packages/torch/include/ATen/core/TensorBody.h:244:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
            "  244 | \u001b[01;36m\u001b[K  T \u001b[m\u001b[K* data() const {\n",
            "      | \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
            "creating build/lib.linux-x86_64-cpython-310\n",
            "x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -g -fwrapv -O2 build/temp.linux-x86_64-cpython-310/quant_cuda.o build/temp.linux-x86_64-cpython-310/quant_cuda_kernel.o -L/usr/local/lib/python3.10/dist-packages/torch/lib -L/usr/local/cuda/lib64 -L/usr/lib/x86_64-linux-gnu -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/quant_cuda.cpython-310-x86_64-linux-gnu.so\n",
            "creating build/bdist.linux-x86_64\n",
            "creating build/bdist.linux-x86_64/egg\n",
            "copying build/lib.linux-x86_64-cpython-310/quant_cuda.cpython-310-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg\n",
            "creating stub loader for quant_cuda.cpython-310-x86_64-linux-gnu.so\n",
            "byte-compiling build/bdist.linux-x86_64/egg/quant_cuda.py to quant_cuda.cpython-310.pyc\n",
            "creating build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying quant_cuda.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying quant_cuda.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying quant_cuda.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying quant_cuda.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt\n",
            "zip_safe flag not set; analyzing archive contents...\n",
            "__pycache__.quant_cuda.cpython-310: module references __file__\n",
            "creating dist\n",
            "creating 'dist/quant_cuda-0.0.0-py3.10-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it\n",
            "removing 'build/bdist.linux-x86_64/egg' (and everything under it)\n",
            "Processing quant_cuda-0.0.0-py3.10-linux-x86_64.egg\n",
            "creating /usr/local/lib/python3.10/dist-packages/quant_cuda-0.0.0-py3.10-linux-x86_64.egg\n",
            "Extracting quant_cuda-0.0.0-py3.10-linux-x86_64.egg to /usr/local/lib/python3.10/dist-packages\n",
            "Adding quant-cuda 0.0.0 to easy-install.pth file\n",
            "\n",
            "Installed /usr/local/lib/python3.10/dist-packages/quant_cuda-0.0.0-py3.10-linux-x86_64.egg\n",
            "Processing dependencies for quant-cuda==0.0.0\n",
            "Finished processing dependencies for quant-cuda==0.0.0\n",
            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "afba8a|\u001b[1;32mOK\u001b[0m  |   153KiB/s|/content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ/config.json\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "5e906a|\u001b[1;32mOK\u001b[0m  |    32KiB/s|/content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ/generation_config.json\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "ebaf84|\u001b[1;32mOK\u001b[0m  |   106KiB/s|/content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ/special_tokens_map.json\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "13ece0|\u001b[1;32mOK\u001b[0m  |    24MiB/s|/content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ/tokenizer.json\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "330c7f|\u001b[1;32mOK\u001b[0m  |   177KiB/s|/content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ/tokenizer_config.json\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "2273de|\u001b[1;32mOK\u001b[0m  |   209MiB/s|/content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ/vicuna-13b-v1.3.0-GPTQ-4bit-128g.no-act.order.safetensors\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "c89242|\u001b[1;32mOK\u001b[0m  |     286B/s|/content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ/quantize_config.json\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "1e76b8|\u001b[1;32mOK\u001b[0m  |   8.0MiB/s|/content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ/tokenizer.model\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-06-29 06:27:35.316720: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "bin /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cuda118.so\n",
            "INFO:\u001b[32mLoading vicuna-13b-v1.3.0-GPTQ...\u001b[0m\n",
            "INFO:\u001b[32mFound the following quantized model: models/vicuna-13b-v1.3.0-GPTQ/vicuna-13b-v1.3.0-GPTQ-4bit-128g.no-act.order.safetensors\u001b[0m\n",
            "INFO:\u001b[32mLoaded the model in 47.90 seconds.\n",
            "\u001b[0m\n",
            "INFO:\u001b[32mLoading the extension \"gallery\"...\u001b[0m\n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "Running on public URL: https://cc41c7b65606bc5c92.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n",
            "Output generated in 9.73 seconds (2.05 tokens/s, 20 tokens, context 66, seed 695182769)\n",
            "Output generated in 9.77 seconds (3.99 tokens/s, 39 tokens, context 116, seed 1452041268)\n",
            "Output generated in 48.08 seconds (10.21 tokens/s, 491 tokens, context 95, seed 897394367)\n",
            "Output generated in 3.78 seconds (0.26 tokens/s, 1 tokens, context 585, seed 1986159781)\n",
            "Output generated in 8.84 seconds (3.39 tokens/s, 30 tokens, context 96, seed 225050387)\n",
            "Output generated in 7.60 seconds (2.50 tokens/s, 19 tokens, context 90, seed 244057851)\n",
            "ERROR:\u001b[31mTask exception was never retrieved\n",
            "future: <Task finished name='kibmqsm0rlr_84' coro=<Queue.process_events() done, defined at /usr/local/lib/python3.10/dist-packages/gradio/queueing.py:343> exception=WebSocketDisconnect(1006)>\u001b[0m\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 347, in process_events\n",
            "    client_awake = await self.gather_event_data(event)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 220, in gather_event_data\n",
            "    data, client_awake = await self.get_message(event, timeout=receive_timeout)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/queueing.py\", line 453, in get_message\n",
            "    data = await asyncio.wait_for(\n",
            "  File \"/usr/lib/python3.10/asyncio/tasks.py\", line 445, in wait_for\n",
            "    return fut.result()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 133, in receive_json\n",
            "    self._raise_on_disconnect(message)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 105, in _raise_on_disconnect\n",
            "    raise WebSocketDisconnect(message[\"code\"])\n",
            "starlette.websockets.WebSocketDisconnect: 1006\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 422, in run_predict\n",
            "    output = await app.get_blocks().process_api(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1323, in process_api\n",
            "    result = await self.call_function(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1067, in call_function\n",
            "    prediction = await utils.async_iteration(iterator)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 336, in async_iteration\n",
            "    return await iterator.__anext__()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 329, in __anext__\n",
            "    return await anyio.to_thread.run_sync(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py\", line 33, in run_sync\n",
            "    return await get_asynclib().run_sync_in_worker_thread(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
            "    return await future\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 807, in run\n",
            "    result = context.run(func, *args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 312, in run_sync_iterator_async\n",
            "    return next(iterator)\n",
            "  File \"/content/text-generation-webui/modules/chat.py\", line 327, in generate_chat_reply_wrapper\n",
            "    for i, history in enumerate(generate_chat_reply(text, shared.history, state, regenerate, _continue, loading_message=True)):\n",
            "  File \"/content/text-generation-webui/modules/chat.py\", line 321, in generate_chat_reply\n",
            "    for history in chatbot_wrapper(text, history, state, regenerate=regenerate, _continue=_continue, loading_message=loading_message):\n",
            "  File \"/content/text-generation-webui/modules/chat.py\", line 199, in chatbot_wrapper\n",
            "    stopping_strings = get_stopping_strings(state)\n",
            "  File \"/content/text-generation-webui/modules/chat.py\", line 133, in get_stopping_strings\n",
            "    state['turn_template'].split('<|user-message|>')[1].split('<|bot|>')[0] + '<|bot|>',\n",
            "IndexError: list index out of range\n",
            "Output generated in 5.12 seconds (0.59 tokens/s, 3 tokens, context 77, seed 1030731229)\n",
            "Output generated in 5.95 seconds (1.51 tokens/s, 9 tokens, context 84, seed 283710829)\n",
            "Output generated in 4.44 seconds (0.45 tokens/s, 2 tokens, context 64, seed 1144777311)\n",
            "Output generated in 4.80 seconds (2.92 tokens/s, 14 tokens, context 53, seed 1931809465)\n",
            "Output generated in 12.01 seconds (5.66 tokens/s, 68 tokens, context 90, seed 361567207)\n",
            "Output generated in 5.33 seconds (2.07 tokens/s, 11 tokens, context 60, seed 463915480)\n",
            "Output generated in 3.03 seconds (1.98 tokens/s, 6 tokens, context 220, seed 247141121)\n",
            "Output generated in 5.13 seconds (5.65 tokens/s, 29 tokens, context 348, seed 925402235)\n",
            "Output generated in 8.16 seconds (5.64 tokens/s, 46 tokens, context 52, seed 1956168983)\n",
            "Output generated in 5.40 seconds (7.03 tokens/s, 38 tokens, context 129, seed 1528200049)\n",
            "Output generated in 19.23 seconds (11.23 tokens/s, 216 tokens, context 210, seed 1553440814)\n",
            "Error in sys.excepthook:\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/rich/traceback.py\", line 97, in excepthook\n",
            "    def excepthook(\n",
            "KeyboardInterrupt\n",
            "\n",
            "Original exception was:\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/text-generation-webui/server.py\", line 1111, in <module>\n",
            "    time.sleep(0.5)\n",
            "KeyboardInterrupt\n",
            "Killing tunnel 127.0.0.1:7860 <> https://cc41c7b65606bc5c92.gradio.live\n",
            "^C\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V1.1 https://github.com/Troyanovsky/text-generation-webui\n",
        "%cd /content/text-generation-webui\n",
        "!pip install -r requirements.txt\n",
        "!pip install -U gradio==3.32.0\n",
        "\n",
        "!mkdir /content/text-generation-webui/repositories\n",
        "%cd /content/text-generation-webui/repositories\n",
        "!git clone -b V1.0 https://github.com/Troyanovsky/GPTQ-for-LLaMa\n",
        "%cd GPTQ-for-LLaMa\n",
        "!python setup_cuda.py install\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/vicuna-13b-v1.3.0-GPTQ/resolve/main/config.json -d /content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/vicuna-13b-v1.3.0-GPTQ/resolve/main/generation_config.json -d /content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ -o generation_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/vicuna-13b-v1.3.0-GPTQ/resolve/main/special_tokens_map.json -d /content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ -o special_tokens_map.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/vicuna-13b-v1.3.0-GPTQ/resolve/main/tokenizer.json -d /content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ -o tokenizer.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/vicuna-13b-v1.3.0-GPTQ/resolve/main/tokenizer_config.json -d /content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ -o tokenizer_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/vicuna-13b-v1.3.0-GPTQ/resolve/main/vicuna-13b-v1.3.0-GPTQ-4bit-128g.no-act.order.safetensors -d /content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ -o vicuna-13b-v1.3.0-GPTQ-4bit-128g.no-act.order.safetensors\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/vicuna-13b-v1.3.0-GPTQ/resolve/main/quantize_config.json -d /content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ -o quantize_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/vicuna-13b-v1.3.0-GPTQ/resolve/main/tokenizer.model -d /content/text-generation-webui/models/vicuna-13b-v1.3.0-GPTQ -o tokenizer.model\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --wbits 4 --groupsize 128\n"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMV5mftgVCuLUtcu2BmiTpl",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}