{
  "id": 125233,
  "title": "TensorFlow 2.1 eligibility for TensorFlow 2.0 Prizes",
  "url": "/competitions/tensorflow2-question-answering/discussion/125233",
  "author_name": "",
  "post_date": "2020-01-09T12:44:59.470120200Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>TensorFlow 2.1 was released yesterday, is it going to be eligible for TensorFlow 2.0 Prizes?</p>",
  "messages": [
    {
      "id": "714430",
      "postDate": "01/09/2020 12:44:59",
      "content": "<p>TensorFlow 2.1 was released yesterday, is it going to be eligible for TensorFlow 2.0 Prizes?</p>",
      "rawMarkdown": "TensorFlow 2.1 was released yesterday, is it going to be eligible for TensorFlow 2.0 Prizes?",
      "votes": null
    },
    {
      "id": "714450",
      "postDate": "01/09/2020 13:00:09",
      "content": "<p>Check this: <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/discussion/121572#702609\">https://www.kaggle.com/c/tensorflow2-question-answering/discussion/121572#702609</a></p>",
      "rawMarkdown": "Check this: https://www.kaggle.com/c/tensorflow2-question-answering/discussion/121572#702609",
      "votes": null
    },
    {
      "id": "714767",
      "postDate": "01/09/2020 18:15:01",
      "content": "<p>Correction: TF2.1 RC0 was already released into notebooks in early December, and the upgrade to the latest release will be made soon. However, our notebooks function such that notebooks created on your original image will be retained with that image. Therefore, if you have a preference for using TF2.1, you should change any existing notebooks to the \"Latest Available\" image or create a new notebook that will automatically use the latest available image.</p>",
      "rawMarkdown": "Correction: TF2.1 RC0 was already released into notebooks in early December, and the upgrade to the latest release will be made soon. However, our notebooks function such that notebooks created on your original image will be retained with that image. Therefore, if you have a preference for using TF2.1, you should change any existing notebooks to the \"Latest Available\" image or create a new notebook that will automatically use the latest available image.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 714450,
      "author_name": "rohanrao",
      "author_url": "",
      "post_date": "01/09/2020 13:00:09",
      "content": "<p>Check this: <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/discussion/121572#702609\">https://www.kaggle.com/c/tensorflow2-question-answering/discussion/121572#702609</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 714767,
      "author_name": "juliaelliott",
      "author_url": "",
      "post_date": "01/09/2020 18:15:01",
      "content": "<p>Correction: TF2.1 RC0 was already released into notebooks in early December, and the upgrade to the latest release will be made soon. However, our notebooks function such that notebooks created on your original image will be retained with that image. Therefore, if you have a preference for using TF2.1, you should change any existing notebooks to the \"Latest Available\" image or create a new notebook that will automatically use the latest available image.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "714430": "TensorFlow 2.1 was released yesterday, is it going to be eligible for TensorFlow 2.0 Prizes?",
    "714450": "Check this: https://www.kaggle.com/c/tensorflow2-question-answering/discussion/121572#702609",
    "714767": "Correction: TF2.1 RC0 was already released into notebooks in early December, and the upgrade to the latest release will be made soon. However, our notebooks function such that notebooks created on your original image will be retained with that image. Therefore, if you have a preference for using TF2.1, you should change any existing notebooks to the \"Latest Available\" image or create a new notebook that will automatically use the latest available image."
  },
  "source": "meta"
}