{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1f6164f5-8a95-40f1-b812-5a055de9736c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "168464b3-8e66-45c7-aacb-ef85868f1e7d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tf.Tensor([1 2], shape=(2,), dtype=int32)\n",
      "[1 2]\n"
     ]
    }
   ],
   "source": [
    "data = tf.constant([1,2])\n",
    "print(data)\n",
    "print(data.numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb8e8f62-e641-4f34-a73a-1fc883247658",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "name": "python3"
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   "pygments_lexer": "ipython3",
   "version": "3.9.2"
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}