TF_Forum_11263.ipynb

tf_forum_11263.ipynb

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    "colab": {
      "name": "TF_Forum_11263.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOhR1vTyovd0oE2EyAwaUwx",
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/kiransair/79708d6db5476c8c301eebd5e3484a71/tf_forum_11263.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "DnZnq9CeeSG6"
      },
      "outputs": [],
      "source": [
        "import tensorflow as tf"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def split(data):\n",
        "    # split off intervention\n",
        "    splitteded = tf.split(data, [6, 1], axis=0)\n",
        "\n",
        "    # split into input and target image\n",
        "    splitted = tf.split(splitteded[0], 2, axis=1)\n",
        "    return splitted"
      ],
      "metadata": {
        "id": "ZQjAkEVIeZOB"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_dataset = tf.data.Dataset.range(2,14)"
      ],
      "metadata": {
        "id": "l60ajKtZeoeb"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data=tf.ones([7,2])"
      ],
      "metadata": {
        "id": "KiVCzewvfcoo"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset = test_dataset.map(lambda x: tf.py_function(func=split,inp=[data],Tout=tf.float32))"
      ],
      "metadata": {
        "id": "8ymwUBfyejFy"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "list(dataset.as_numpy_iterator())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YVZ8YnBlepln",
        "outputId": "3384a9c9-52b6-41c8-b557-c05a707ddce5"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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        ""
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      "metadata": {
        "id": "Yih1tq0uewBV"
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      "execution_count": 6,
      "outputs": []
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}