{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the modules needed to create a test model and run the TOSA Checker."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tosa_checker as tc\n",
    "import tensorflow as tf\n",
    "import tempfile\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a simple model that is compatible with the TOSA specification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: /tmp/tmpxc09cs65/assets\n"
     ]
    }
   ],
   "source": [
    "input = tf.keras.layers.Input(shape=(16,))\n",
    "x = tf.keras.layers.Dense(8, activation=\"relu\")(input)\n",
    "model = tf.keras.models.Model(inputs=[input], outputs=x)\n",
    "converter = tf.lite.TFLiteConverter.from_keras_model(model)\n",
    "tflite_model = converter.convert()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Save this model in `.tflite` format. Note that the TOSA Checker only accepts models in this format currently."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "_, tflite_file = tempfile.mkstemp('.tflite')\n",
    "with open(tflite_file, \"wb\") as f:\n",
    "    f.write(tflite_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the TOSA Checker to check this model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Is model TOSA compatible ? True\n"
     ]
    }
   ],
   "source": [
    "checker = tc.TOSAChecker(model_path=tflite_file)\n",
    "result = checker.is_tosa_compatible()\n",
    "print(\"Is model TOSA compatible ? {}\".format(result))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.0 ('tosa_checker': venv)",
   "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": "3.8.0"
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 "nbformat": 4,
 "nbformat_minor": 2
}