{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ThirdParty.PointLLM.pointllm.model.pointllm import PointLLMLlamaForCausalLM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ydengbd/anaconda3/envs/mich/lib/python3.10/site-packages/huggingface_hub/file_download.py:1142: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading PointBERT config from /home/ydengbd/Anymate/space/ThirdParty/PointLLM/pointllm/model/pointbert/PointTransformer_8192point_2layer.yaml.\n"
     ]
    }
   ],
   "source": [
    "from transformers import AutoConfig\n",
    "\n",
    "config =  AutoConfig.from_pretrained('RunsenXu/PointLLM_7B_v1.2')\n",
    "model = PointLLMLlamaForCausalLM(config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ydengbd/anaconda3/envs/mich/lib/python3.10/site-packages/huggingface_hub/file_download.py:1142: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading PointBERT config from /home/ydengbd/Anymate/space/ThirdParty/PointLLM/pointllm/model/pointbert/PointTransformer_8192point_2layer.yaml.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e7003df263064096b0c3838e9deb1cd3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ydengbd/anaconda3/envs/mich/lib/python3.10/site-packages/transformers/modeling_utils.py:415: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
      "  return torch.load(checkpoint_file, map_location=\"cpu\")\n"
     ]
    }
   ],
   "source": [
    "model2 = PointLLMLlamaForCausalLM.from_pretrained('RunsenXu/PointLLM_7B_v1.2', low_cpu_mem_usage=False, use_cache=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading PointBERT config from /home/ydengbd/Anymate/space/ThirdParty/PointLLM/pointllm/model/pointbert/PointTransformer_8192point_2layer.yaml.\n"
     ]
    }
   ],
   "source": [
    "model = PointLLMLlamaForCausalLM(config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading PointBERT config from ./ThirdParty/PointLLM/pointllm/model/pointbert/PointTransformer_8192point_2layer.yaml.\n"
     ]
    }
   ],
   "source": [
    "from pointllm.model import PointTransformer\n",
    "from pointllm.utils import *\n",
    "import os\n",
    "# address of config file, in the same dir of this file\n",
    "point_bert_config_name = \"PointTransformer_8192point_2layer\" # * default for v1.2, v1.1 uses PointTransformer_base_8192point.yaml\n",
    "point_bert_config_addr = os.path.join(\"./ThirdParty/PointLLM/pointllm/model/pointbert/PointTransformer_8192point_2layer.yaml\")\n",
    "print(f\"Loading PointBERT config from {point_bert_config_addr}.\")\n",
    "point_bert_config = cfg_from_yaml_file(point_bert_config_addr)\n",
    "if getattr(config, \"use_color\", False):\n",
    "    point_bert_config.model.point_dims = 6\n",
    "use_max_pool = getattr(point_bert_config.model, \"use_max_pool\", False) # * default is false\n",
    "\n",
    "point_backbone = PointTransformer(point_bert_config.model, use_max_pool=use_max_pool)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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