{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "93e252d5-c7d2-48bd-9d21-70bb5694a026",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from _mydelta.multi_prompt import MultiPrompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c9cd7bc9-cd12-4e77-9176-d71c614a6094",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "path = Path('/disks/ssd/trained_final/cont_thesis/cont_thesis_t5_small_glue-cola/10_combine_128_simple')\n",
    "best_out = MultiPrompt.get_saved_final_emb(\n",
    "    config_path=path / 'config.json',\n",
    "    weights_path=path / 'best.pt'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "853f0084-5b12-40e0-a6ea-da6cd96bcd88",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([10, 512])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_out.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0807f193-4cb5-4d84-9210-3581e2e49c51",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "\n",
    "sd = torch.load(path / 'best.pt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "73685dcd-d842-4265-b1db-760124840212",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([0.3015], device='cuda:0')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sd['prompts.2.sadcl_coeff_pretrained']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "dffe272c-97d5-41de-ac31-fd2702163670",
   "metadata": {},
   "outputs": [],
   "source": [
    "from accelerate import Accelerator\n",
    "import accelerate.utils.other as auo\n",
    "import accelerate.logging as al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8d184d14-a9b7-41ae-b5f8-cf977b7009fd",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Accelerator()\n",
    "\n",
    "al"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "972a0e50-43aa-44eb-8c10-3e86fba0819d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auo.logger.getEffectiveLevel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7a247b50-57a0-43cd-9a8d-18d58ea1fd27",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__main__\n"
     ]
    }
   ],
   "source": [
    "print(__name__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6abe432e-bb4b-4610-899d-e7759512181c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:deep]",
   "language": "python",
   "name": "conda-env-deep-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}