TFT_output_with_tf_Graph.ipynb

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  "metadata": {
    "colab": {
      "name": "TFT output with tf.Graph",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyM+29u5RIMaiLrVTLQ2OJnU",
      "include_colab_link": true
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      "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/github/zoyahav/tft_notebooks/blob/main/TFT_output_with_tf_Graph.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n5kKSxi6yGof"
      },
      "source": [
        "!pip install tensorflow-transform"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vSS6r2KIyIrm"
      },
      "source": [
        "%tensorflow_version 2.x"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "r1q3lTJ5yXFX",
        "outputId": "70808575-19ce-4523-c012-3fe9b40cf07d"
      },
      "source": [
        "\n",
        "import pprint\n",
        "import tempfile\n",
        "\n",
        "import tensorflow as tf\n",
        "import tensorflow_transform as tft\n",
        "import tensorflow_transform.beam as tft_beam\n",
        "from tensorflow_transform.tf_metadata import dataset_metadata\n",
        "from tensorflow_transform.tf_metadata import schema_utils\n",
        "\n",
        "\n",
        "def main(output_path):\n",
        "  def preprocessing_fn(inputs):\n",
        "    \"\"\"Preprocess input columns into transformed columns.\"\"\"\n",
        "    x = inputs['x']\n",
        "    x_centered = x - tft.mean(x)\n",
        "    return {\n",
        "        'x_centered': x_centered,\n",
        "    }\n",
        "\n",
        "  raw_data = [\n",
        "      {'x': 1},\n",
        "      {'x': 2},\n",
        "      {'x': 3}\n",
        "  ]\n",
        "\n",
        "  raw_data_metadata = dataset_metadata.DatasetMetadata(\n",
        "      schema_utils.schema_from_feature_spec({\n",
        "          'x': tf.io.FixedLenFeature([], tf.float32),\n",
        "      }))\n",
        "\n",
        "  with tft_beam.Context(temp_dir=tempfile.mkdtemp()):\n",
        "    transformed_dataset, transform_fn = (  # pylint: disable=unused-variable\n",
        "        (raw_data, raw_data_metadata) | tft_beam.AnalyzeAndTransformDataset(\n",
        "            preprocessing_fn))\n",
        "    \n",
        "    transform_fn | tft_beam.WriteTransformFn(output_path)\n",
        "\n",
        "  transformed_data, transformed_metadata = transformed_dataset  # pylint: disable=unused-variable\n",
        "\n",
        "  pprint.pprint(transformed_data)\n",
        "\n",
        "output_path = tempfile.mkdtemp()\n",
        "main(output_path)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:apache_beam.runners.interactive.interactive_environment:Dependencies required for Interactive Beam PCollection visualization are not available, please use: `pip install apache-beam[interactive]` to install necessary dependencies to enable all data visualization features.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        if (typeof window.interactive_beam_jquery == 'undefined') {\n",
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              "          jqueryScript.type = 'text/javascript';\n",
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              "            var datatableScript = document.createElement('script');\n",
              "            datatableScript.src = 'https://cdn.datatables.net/1.10.20/js/jquery.dataTables.min.js';\n",
              "            datatableScript.type = 'text/javascript';\n",
              "            datatableScript.onload = function() {\n",
              "              window.interactive_beam_jquery = jQuery.noConflict(true);\n",
              "              window.interactive_beam_jquery(document).ready(function($){\n",
              "                \n",
              "              });\n",
              "            }\n",
              "            document.head.appendChild(datatableScript);\n",
              "          };\n",
              "          document.head.appendChild(jqueryScript);\n",
              "        } else {\n",
              "          window.interactive_beam_jquery(document).ready(function($){\n",
              "            \n",
              "          });\n",
              "        }"
            ]
          },
          "metadata": {
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          }
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Tensorflow version (2.4.1) found. Note that Tensorflow Transform support for TF 2.0 is currently in beta, and features such as tf.function may not work as intended. \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Tensorflow version (2.4.1) found. Note that Tensorflow Transform support for TF 2.0 is currently in beta, and features such as tf.function may not work as intended. \n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:You are passing instance dicts and DatasetMetadata to TFT which will not provide optimal performance. Consider following the TFT guide to upgrade to the TFXIO format (Apache Arrow RecordBatch).\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:You are passing instance dicts and DatasetMetadata to TFT which will not provide optimal performance. Consider following the TFT guide to upgrade to the TFXIO format (Apache Arrow RecordBatch).\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow_transform/tf_utils.py:266: Tensor.experimental_ref (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use ref() instead.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow_transform/tf_utils.py:266: Tensor.experimental_ref (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use ref() instead.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/saved_model/signature_def_utils_impl.py:201: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/saved_model/signature_def_utils_impl.py:201: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Assets added to graph.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Assets added to graph.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:No assets to write.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:No assets to write.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Issue encountered when serializing tft_analyzer_use.\n",
            "Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
            "'Counter' object has no attribute 'name'\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Issue encountered when serializing tft_analyzer_use.\n",
            "Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
            "'Counter' object has no attribute 'name'\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:SavedModel written to: /tmp/tmpgn479q85/tftransform_tmp/c494781e631e48e8bcb43a5dca3e2cd2/saved_model.pb\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:SavedModel written to: /tmp/tmpgn479q85/tftransform_tmp/c494781e631e48e8bcb43a5dca3e2cd2/saved_model.pb\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Assets added to graph.\n"
          ],
          "name": "stdout"
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        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Assets added to graph.\n"
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            "INFO:tensorflow:No assets to write.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Issue encountered when serializing tft_analyzer_use.\n",
            "Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
            "'Counter' object has no attribute 'name'\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Issue encountered when serializing tft_analyzer_use.\n",
            "Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.\n",
            "'Counter' object has no attribute 'name'\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:SavedModel written to: /tmp/tmpgn479q85/tftransform_tmp/e2ed9ee180424247bac3213f06fe0c6b/saved_model.pb\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:SavedModel written to: /tmp/tmpgn479q85/tftransform_tmp/e2ed9ee180424247bac3213f06fe0c6b/saved_model.pb\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Tensorflow version (2.4.1) found. Note that Tensorflow Transform support for TF 2.0 is currently in beta, and features such as tf.function may not work as intended. \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Tensorflow version (2.4.1) found. Note that Tensorflow Transform support for TF 2.0 is currently in beta, and features such as tf.function may not work as intended. \n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:You are passing instance dicts and DatasetMetadata to TFT which will not provide optimal performance. Consider following the TFT guide to upgrade to the TFXIO format (Apache Arrow RecordBatch).\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:You are passing instance dicts and DatasetMetadata to TFT which will not provide optimal performance. Consider following the TFT guide to upgrade to the TFXIO format (Apache Arrow RecordBatch).\n",
            "WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py', '-f', '/root/.local/share/jupyter/runtime/kernel-b1c5312d-8f79-47af-bb39-328cd546755e.json']\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
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          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Assets added to graph.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Assets added to graph.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:No assets to write.\n"
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          "name": "stdout"
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            "INFO:tensorflow:No assets to write.\n"
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          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:SavedModel written to: /tmp/tmpgn479q85/tftransform_tmp/bce31017cd3143f0ab57282a309b02ab/saved_model.pb\n"
          ],
          "name": "stdout"
        },
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            "INFO:tensorflow:SavedModel written to: /tmp/tmpgn479q85/tftransform_tmp/bce31017cd3143f0ab57282a309b02ab/saved_model.pb\n"
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          "name": "stderr"
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          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
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          "name": "stdout"
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          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
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        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
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          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n",
            "WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py', '-f', '/root/.local/share/jupyter/runtime/kernel-b1c5312d-8f79-47af-bb39-328cd546755e.json']\n"
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          "output_type": "stream",
          "text": [
            "[{'x_centered': -1.0}, {'x_centered': 0.0}, {'x_centered': 1.0}]\n"
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          "name": "stdout"
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        },
        "outputId": "512a9683-5c99-4f71-8333-c9aea6ecdd6d"
      },
      "source": [
        "with tf.Graph().as_default() as g:\n",
        "  x = tf.constant([1], tf.float32)\n",
        "  pprint.pprint(g.as_graph_def())"
      ],
      "execution_count": null,
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            "versions {\n",
            "  producer: 561\n",
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            "\n"
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    {
      "cell_type": "code",
      "metadata": {
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        "id": "wqcz-HSszg8X",
        "outputId": "0972852f-c2e3-4f10-b00b-6a393c40a459"
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      "source": [
        "tft_output = tft.TFTransformOutput(output_path)\n",
        "with tf.Graph().as_default() as g:\n",
        "  x = tf.constant([1], tf.float32)\n",
        "  transformed = tft_output.transform_raw_features({'x': x}, drop_unused_features=True)\n",
        "  pprint.pprint(g.as_graph_def())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
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          "text": [
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
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