{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a25ac442",
   "metadata": {},
   "source": [
    "## Performance HuggingFace Dataset vs Dataset Loader"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3da127dc",
   "metadata": {},
   "source": [
    "## Hugging Face Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "aef315bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datasets import load_dataset\n",
    "import torch\n",
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "c0ed6498",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Found cached dataset ava (/home/william/.cache/huggingface/datasets/will33am___ava/default/1.0.0/723cc8bd5959ef1cd88b7d51648a8bc7fd98c9d8ddb768cb8c8ebaade1b82306)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 211 ms, sys: 11.8 ms, total: 223 ms\n",
      "Wall time: 852 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "ds = load_dataset(\"will33am/AVA\",split = 'train')\n",
    "ds = ds.remove_columns([\"rating_counts\",\"text_tag_0\",\"text_tag_1\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "c51e48dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 7.3 ms, sys: 644 µs, total: 7.94 ms\n",
      "Wall time: 6.24 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "image = ds[0]['image']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25b4bd86",
   "metadata": {},
   "source": [
    "## Pytorch Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "07480450",
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "class Datasets(torch.utils.data.Dataset):\n",
    "    def __init__(self,files):\n",
    "        self.files = files\n",
    "    def __getitem__(self,idx):\n",
    "        return Image.open(self.files[idx])\n",
    "        \n",
    "    def __len__(self):\n",
    "        return len(self.files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7dcb29a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "files = glob.glob(\"../../AVA_src/images/images/*.jpg\")\n",
    "dataset = Datasets(files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "43c33afc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.21 ms, sys: 0 ns, total: 1.21 ms\n",
      "Wall time: 656 µs\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "image = dataset[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "771fe113",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.731707317073171"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 10 veces mas rapido acceder a un elemento\n",
    "(7.04e-3)/(656 * 1e-6 )"
   ]
  }
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