{
  "id": 355348,
  "title": "Notebook Threw Exception",
  "url": "/competitions/mayo-clinic-strip-ai/discussion/355348",
  "author_name": "akhi islam",
  "post_date": "2022-09-26T11:38:18.909000",
  "votes": 0,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Everything runs perfectly but there is a error (status - Notebook Threw Exception) after submission. How to solve this issue?</p>",
  "messages": [
    {
      "id": 1957225,
      "postDate": "2022-09-26T19:57:17.443Z",
      "content": "<p><a href=\"https://www.kaggle.com/akhiislam\" target=\"_blank\">@akhiislam</a> please check <a href=\"https://www.kaggle.com/competitions/mayo-clinic-strip-ai/discussion/344308\" target=\"_blank\">here</a>… this is most likely an OOM error which has been the most common way to get this error… you need to figure out if your code can handle image reading and computation alongside by checking with some large images from the train dataset, the test dataset image is limited to 1.3 Gb and hidden test set most likely has larger images as well. </p>",
      "rawMarkdown": "@akhiislam please check [here](https://www.kaggle.com/competitions/mayo-clinic-strip-ai/discussion/344308)... this is most likely an OOM error which has been the most common way to get this error... you need to figure out if your code can handle image reading and computation alongside by checking with some large images from the train dataset, the test dataset image is limited to 1.3 Gb and hidden test set most likely has larger images as well. ",
      "votes": 1,
      "replies": [
        {
          "id": 1960455,
          "postDate": "2022-09-28T15:57:06.540Z",
          "content": "<p>Yes, I have seen that almost all images in the public + private set have more than 1.3GB. When I submit, the submitted part finish in 2 minutes and succeed when the test set with 4 images took 4 minutes to finish. (If size &gt; 1.3 GB pred = 0.5).</p>",
          "rawMarkdown": "Yes, I have seen that almost all images in the public + private set have more than 1.3GB. When I submit, the submitted part finish in 2 minutes and succeed when the test set with 4 images took 4 minutes to finish. (If size > 1.3 GB pred = 0.5).",
          "votes": 1
        }
      ]
    },
    {
      "id": 1956361,
      "postDate": "2022-09-26T12:08:52.577Z",
      "content": "<p>you can follow this discussion <br>\n<a href=\"https://www.kaggle.com/product-feedback/121112\" target=\"_blank\">https://www.kaggle.com/product-feedback/121112</a></p>",
      "rawMarkdown": "you can follow this discussion \nhttps://www.kaggle.com/product-feedback/121112",
      "votes": 1
    },
    {
      "id": 1956301,
      "postDate": "2022-09-26T11:38:18.910Z",
      "content": "<p>Everything runs perfectly but there is a error (status - Notebook Threw Exception) after submission. How to solve this issue?</p>",
      "rawMarkdown": "Everything runs perfectly but there is a error (status - Notebook Threw Exception) after submission. How to solve this issue?"
    }
  ],
  "comments": [
    {
      "id": 1957225,
      "author_name": "tdiceman",
      "author_url": "",
      "post_date": "2022-09-26T19:57:17.443000",
      "content": "<p><a href=\"https://www.kaggle.com/akhiislam\" target=\"_blank\">@akhiislam</a> please check <a href=\"https://www.kaggle.com/competitions/mayo-clinic-strip-ai/discussion/344308\" target=\"_blank\">here</a>… this is most likely an OOM error which has been the most common way to get this error… you need to figure out if your code can handle image reading and computation alongside by checking with some large images from the train dataset, the test dataset image is limited to 1.3 Gb and hidden test set most likely has larger images as well. </p>",
      "votes": 1,
      "replies": [
        {
          "id": 1960455,
          "author_name": "Pierre Tisseur",
          "author_url": "",
          "post_date": "2022-09-28T15:57:06.540000",
          "content": "<p>Yes, I have seen that almost all images in the public + private set have more than 1.3GB. When I submit, the submitted part finish in 2 minutes and succeed when the test set with 4 images took 4 minutes to finish. (If size &gt; 1.3 GB pred = 0.5).</p>",
          "votes": 1,
          "replies": []
        }
      ]
    },
    {
      "id": 1956361,
      "author_name": "Ankit8467",
      "author_url": "",
      "post_date": "2022-09-26T12:08:52.577000",
      "content": "<p>you can follow this discussion <br>\n<a href=\"https://www.kaggle.com/product-feedback/121112\" target=\"_blank\">https://www.kaggle.com/product-feedback/121112</a></p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1957225": "@akhiislam please check [here](https://www.kaggle.com/competitions/mayo-clinic-strip-ai/discussion/344308)... this is most likely an OOM error which has been the most common way to get this error... you need to figure out if your code can handle image reading and computation alongside by checking with some large images from the train dataset, the test dataset image is limited to 1.3 Gb and hidden test set most likely has larger images as well. ",
    "1956361": "you can follow this discussion \nhttps://www.kaggle.com/product-feedback/121112",
    "1956301": "Everything runs perfectly but there is a error (status - Notebook Threw Exception) after submission. How to solve this issue?"
  }
}