{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c02ae76-b540-4b16-9492-e9210b3b9249",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ['CUDA_VISIBLE_DEVICE'] = ''\n",
    "import random\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import numpy as np\n",
    "from omegaconf import OmegaConf\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "from importlib.util import find_spec\n",
    "if find_spec(\"text_recognizer\") is None:\n",
    "    import sys\n",
    "    sys.path.append('..')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ccdb6dde-47e5-429a-88f2-0764fb7e259a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from hydra import compose, initialize\n",
    "from omegaconf import OmegaConf\n",
    "from hydra.utils import instantiate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3cf50475-39f2-4642-a7d1-5bcbc0a036f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = \"../training/conf/network/efficientnet.yaml\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e52ecb01-c975-4e55-925d-1182c7aea473",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(path, \"rb\") as f:\n",
    "    cfg = OmegaConf.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f939aa37-7b1d-45cc-885c-323c4540bda1",
   "metadata": {},
   "outputs": [],
   "source": [
    "cfg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "42caaae5-7ee6-43fe-97eb-46c2a6915739",
   "metadata": {},
   "outputs": [],
   "source": [
    "cfg.depth = 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aaeab329-aeb0-4a1b-aa35-5a2aab81b1d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "net = instantiate(cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "618b997c-e6a6-4487-b70c-9d260cb556d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchinfo import summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "25759b7b-8deb-4163-b75d-a1357c9fe88f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "summary(net, (2, 1, 56, 1024), device=\"cpu\", depth=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "733354ea",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.4"
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}