After_Eager_Execution.ipynb

Before_eager_execution.ipynb

TensorFlow2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "TF2.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "RG_ZLJEvLJrh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "b3c60a06-8d92-4779-ad92-00b7e1c48f0d"
      },
      "source": [
        "try:\n",
        "  %tensorflow_version 2.x  #gpu\n",
        "except Exception:\n",
        "  pass\n",
        "\n",
        "import tensorflow as tf"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "`%tensorflow_version` only switches the major version: `1.x` or `2.x`.\n",
            "You set: `2.x  #gpu`. This will be interpreted as: `2.x`.\n",
            "\n",
            "\n",
            "TensorFlow 2.x selected.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IiTeSVImc4_9",
        "colab_type": "code",
        "outputId": "342fa7c3-ab12-4692-a205-6389606b01f0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(tf.__version__)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2.0.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "goV9-wq1c8Ig",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "x = tf.Variable(0.)\n",
        "y = tf.Variable(1.)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DxgLYyAOiCZG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "for i in range(50):\n",
        "  x.assign(x+y)\n",
        "  y.assign(y/2)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ra2SBRsTKH4S",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "6729116f-1577-4787-839c-c8eca2c1ede9"
      },
      "source": [
        "print(x.numpy())"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2.0\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}