tensorflow_2_0.ipynb

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  "metadata": {
    "colab": {
      "name": "tensorflow-2.0.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/raqueeb/TensorFlow2/blob/master/tensorflow_2_0.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "2QQJJyDzqGRb"
      },
      "source": [
        "# টেন্সর-ফ্লো ২.০ ইনস্টলেশন \n",
        "\n",
        "কিছু জিনিস ঠিকমতো কাজ না করতে পারে, টেস্ট করতে থাকুন  \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "RBAeIwOMrYk8"
      },
      "source": [
        "## এনভায়রনমেন্ট ঠিক করে নেই "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "attributes": {
          "classes": [
            "py"
          ],
          "id": ""
        },
        "colab_type": "code",
        "id": "7aFsD8csqEff",
        "colab": {}
      },
      "source": [
        "from __future__ import absolute_import, division, print_function, unicode_literals\n",
        "\n",
        "import tensorflow as tf\n",
        "\n",
        "import numpy as np\n",
        "\n",
        "# tf.enable_eager_execution()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KIAL4s0UT0_4",
        "colab_type": "text"
      },
      "source": [
        "এখন কি আছে?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q2A2OwZUT4Ub",
        "colab_type": "code",
        "outputId": "8c17c232-2a6e-436a-aad2-882e3477a009",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "tf.__version__"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'2.0.0-alpha0'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zrGTAgw3UIDx",
        "colab_type": "text"
      },
      "source": [
        "টেন্সর-ফ্লো ২.০ ইনস্টল করে নেই, জিপিইউ ভার্সন "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hd9aatIiTvK2",
        "colab_type": "code",
        "outputId": "ad5ad8df-2dbe-49a0-fb64-71a423917c19",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "#!pip install tensorflow==2.0.0-alpha0\n",
        "!pip install --upgrade tensorflow-gpu==2.0.0-alpha0"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting tensorflow-gpu==2.0.0-alpha0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/1a/66/32cffad095253219d53f6b6c2a436637bbe45ac4e7be0244557210dc3918/tensorflow_gpu-2.0.0a0-cp36-cp36m-manylinux1_x86_64.whl (332.1MB)\n",
            "\u001b[K     |████████████████████████████████| 332.1MB 73kB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: numpy<2.0,>=1.14.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (1.16.3)\n",
            "Requirement already satisfied, skipping upgrade: wheel>=0.26 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (0.33.1)\n",
            "Requirement already satisfied, skipping upgrade: absl-py>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (0.7.1)\n",
            "Requirement already satisfied, skipping upgrade: astor>=0.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (0.7.1)\n",
            "Collecting tb-nightly<1.14.0a20190302,>=1.14.0a20190301 (from tensorflow-gpu==2.0.0-alpha0)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/a9/51/aa1d756644bf4624c03844115e4ac4058eff77acd786b26315f051a4b195/tb_nightly-1.14.0a20190301-py3-none-any.whl (3.0MB)\n",
            "\u001b[K     |████████████████████████████████| 3.0MB 44.4MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: termcolor>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (1.1.0)\n",
            "Requirement already satisfied, skipping upgrade: protobuf>=3.6.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (3.7.1)\n",
            "Requirement already satisfied, skipping upgrade: grpcio>=1.8.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (1.15.0)\n",
            "Requirement already satisfied, skipping upgrade: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (1.12.0)\n",
            "Requirement already satisfied, skipping upgrade: gast>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (0.2.2)\n",
            "Collecting google-pasta>=0.1.2 (from tensorflow-gpu==2.0.0-alpha0)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/64/bb/f1bbc131d6294baa6085a222d29abadd012696b73dcbf8cf1bf56b9f082a/google_pasta-0.1.5-py3-none-any.whl (51kB)\n",
            "\u001b[K     |████████████████████████████████| 61kB 30.9MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: keras-applications>=1.0.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (1.0.7)\n",
            "Requirement already satisfied, skipping upgrade: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==2.0.0-alpha0) (1.0.9)\n",
            "Collecting tf-estimator-nightly<1.14.0.dev2019030116,>=1.14.0.dev2019030115 (from tensorflow-gpu==2.0.0-alpha0)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/13/82/f16063b4eed210dc2ab057930ac1da4fbe1e91b7b051a6c8370b401e6ae7/tf_estimator_nightly-1.14.0.dev2019030115-py2.py3-none-any.whl (411kB)\n",
            "\u001b[K     |████████████████████████████████| 419kB 55.4MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tb-nightly<1.14.0a20190302,>=1.14.0a20190301->tensorflow-gpu==2.0.0-alpha0) (0.15.2)\n",
            "Requirement already satisfied, skipping upgrade: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tb-nightly<1.14.0a20190302,>=1.14.0a20190301->tensorflow-gpu==2.0.0-alpha0) (3.1)\n",
            "Requirement already satisfied, skipping upgrade: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf>=3.6.1->tensorflow-gpu==2.0.0-alpha0) (41.0.1)\n",
            "Requirement already satisfied, skipping upgrade: h5py in /usr/local/lib/python3.6/dist-packages (from keras-applications>=1.0.6->tensorflow-gpu==2.0.0-alpha0) (2.8.0)\n",
            "Installing collected packages: tb-nightly, google-pasta, tf-estimator-nightly, tensorflow-gpu\n",
            "Successfully installed google-pasta-0.1.5 tb-nightly-1.14.0a20190301 tensorflow-gpu-2.0.0a0 tf-estimator-nightly-1.14.0.dev2019030115\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "x_G1zZT5qEfh"
      },
      "source": [
        "# tf.Session() কোথায় গেল?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1WsmrcZZUdJw",
        "colab_type": "code",
        "outputId": "61b9e106-d8df-4b58-a6e9-0e908ac256eb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "hello = tf.constant(\"Hello World from Bangladesh\")\n",
        "print(\"Tensor:\", hello)\n",
        "print(\"Value :\", hello.numpy())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Tensor: tf.Tensor(b'Hello World from Bangladesh', shape=(), dtype=string)\n",
            "Value : b'Hello World from Bangladesh'\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5hien2IEqwLQ",
        "outputId": "2af79bbf-1021-4a4d-8d40-1819b702f785",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "tf.executing_eagerly()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DzclV2ebaJMT",
        "colab_type": "text"
      },
      "source": [
        "## ইগার এক্সিকিউশন দিয়ে "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TuVTcnr3YJTN",
        "colab_type": "code",
        "outputId": "2be2dad7-f5ea-4765-a656-5932c589d37c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "import tensorflow as tf\n",
        "\n",
        "x = [[2.]]\n",
        "y = [[1.]]\n",
        "k = tf.add(x, y)\n",
        "print(k) # k is the Tensor [[3.]]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "tf.Tensor([[3.]], shape=(1, 1), dtype=float32)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L3tROI00X5su",
        "colab_type": "text"
      },
      "source": [
        "## আগে টেন্সর-ফ্লো কোর দিয়ে যদি করতাম  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TrlHs93pX_lX",
        "colab_type": "code",
        "outputId": "a692c7df-ccb7-4038-e4e2-74fcf5f4dbf2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# এটা করা ঠিক না \n",
        "import tensorflow.compat.v1 as tf\n",
        "tf.disable_v2_behavior()\n",
        "\n",
        "x = tf.placeholder(tf.float32, shape=[1, 1])\n",
        "y = tf.placeholder(tf.float32, shape=[1, 1])\n",
        "k = tf.add(x, y)  # k is a Tensor, but has no value assigned yet\n",
        "with tf.Session() as sess:\n",
        "  k = sess.run(k, feed_dict={x: [[2.]], y: [[1.]]})\n",
        "print(k)  # k is 3."
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[3.]]\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}