{
  "id": 235793,
  "title": "Notebook Exceeded Allowed Compute",
  "url": "/competitions/coleridgeinitiative-show-us-the-data/discussion/235793",
  "author_name": "Sree Nithish B",
  "post_date": "2021-05-01T08:56:24.020000",
  "votes": 1,
  "comment_count": 5,
  "views": 0,
  "content": "<p>I'm receiving an error for \"\"Notebook Exceeded Allowed Compute\" but I've  followed all the constraints like naming format submission.csv and submitted notebook with no internet access. This is my first Kaggle submission, so please help me out.</p>",
  "messages": [
    {
      "id": 1289672,
      "postDate": "2021-05-01T08:56:24.020Z",
      "content": "<p>I'm receiving an error for \"\"Notebook Exceeded Allowed Compute\" but I've  followed all the constraints like naming format submission.csv and submitted notebook with no internet access. This is my first Kaggle submission, so please help me out.</p>",
      "rawMarkdown": "I'm receiving an error for \"\"Notebook Exceeded Allowed Compute\" but I've  followed all the constraints like naming format submission.csv and submitted notebook with no internet access. This is my first Kaggle submission, so please help me out.",
      "votes": 1
    },
    {
      "id": 1302193,
      "postDate": "2021-05-11T12:37:03.470Z",
      "content": "<p>Notebook Exceeded Allowed Compute means that the memory requirements are too high for the system to meet. The largest memory allocation in the GPU environment is 13GB. In the past few weeks, I was also affected by memory allocation problems and kept submitting failed. There are a few ideas that may help you:</p>\n<ol>\n<li>Reduce the length of the input text. Choosing an appropriate text length can reduce the number of input samples to be constructed.</li>\n<li>Optimize the preprocessing process and reduce the creation of variables containing a large number of data.</li>\n<li>Reduce the construction of intermediate variables. Consider creating tensor variables such as Input id when running the GPU, which can reduce memory usage by 80%.<br>\ngood luck!</li>\n</ol>",
      "rawMarkdown": "Notebook Exceeded Allowed Compute means that the memory requirements are too high for the system to meet. The largest memory allocation in the GPU environment is 13GB. In the past few weeks, I was also affected by memory allocation problems and kept submitting failed. There are a few ideas that may help you:\n\n1. Reduce the length of the input text. Choosing an appropriate text length can reduce the number of input samples to be constructed.\n2. Optimize the preprocessing process and reduce the creation of variables containing a large number of data.\n3. Reduce the construction of intermediate variables. Consider creating tensor variables such as Input id when running the GPU, which can reduce memory usage by 80%.\ngood luck!",
      "votes": 2
    },
    {
      "id": 1356636,
      "postDate": "2021-06-19T06:02:02.097Z",
      "content": "<p>Had the same issue - tested the code on 8000 documents by utilizing only first 512 tokens in a sentence rather than all the tokens (words) and it worked.</p>",
      "rawMarkdown": "Had the same issue - tested the code on 8000 documents by utilizing only first 512 tokens in a sentence rather than all the tokens (words) and it worked."
    },
    {
      "id": 1301317,
      "postDate": "2021-05-11T02:58:08.593Z",
      "content": "<p>I also have a lot of 「Notebook Exceeded Allowed Compute」 and the submission is not accepted. <br>\nIt takes about 50 minutes to run my kernel.</p>\n<p>When I submit from there, I have to wait about an hour and then I get an error with 「Notebook Exceeded Allowed Compute」.</p>\n<p>What's wrong with that?</p>\n<p>My kernel is challenged with a neural network.</p>",
      "rawMarkdown": "I also have a lot of 「Notebook Exceeded Allowed Compute」 and the submission is not accepted. \nIt takes about 50 minutes to run my kernel.\n\nWhen I submit from there, I have to wait about an hour and then I get an error with 「Notebook Exceeded Allowed Compute」.\n\nWhat's wrong with that?\n\nMy kernel is challenged with a neural network."
    },
    {
      "id": 1295614,
      "postDate": "2021-05-06T15:30:24.450Z",
      "content": "<p>For how long does it run? The maximum run time for a notebook in this competition is 9 hours. Maybe your running time exceeds this.</p>",
      "rawMarkdown": "For how long does it run? The maximum run time for a notebook in this competition is 9 hours. Maybe your running time exceeds this.",
      "isDeleted": true,
      "replies": [
        {
          "id": 1296286,
          "postDate": "2021-05-07T06:31:11.233Z",
          "content": "<p>Thank you for replying! My running time is less than 40 minutes actually.</p>",
          "rawMarkdown": "Thank you for replying! My running time is less than 40 minutes actually."
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 1302193,
      "author_name": "van73",
      "author_url": "",
      "post_date": "2021-05-11T12:37:03.470000",
      "content": "<p>Notebook Exceeded Allowed Compute means that the memory requirements are too high for the system to meet. The largest memory allocation in the GPU environment is 13GB. In the past few weeks, I was also affected by memory allocation problems and kept submitting failed. There are a few ideas that may help you:</p>\n<ol>\n<li>Reduce the length of the input text. Choosing an appropriate text length can reduce the number of input samples to be constructed.</li>\n<li>Optimize the preprocessing process and reduce the creation of variables containing a large number of data.</li>\n<li>Reduce the construction of intermediate variables. Consider creating tensor variables such as Input id when running the GPU, which can reduce memory usage by 80%.<br>\ngood luck!</li>\n</ol>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 1356636,
      "author_name": "arunamenon",
      "author_url": "",
      "post_date": "2021-06-19T06:02:02.097000",
      "content": "<p>Had the same issue - tested the code on 8000 documents by utilizing only first 512 tokens in a sentence rather than all the tokens (words) and it worked.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1301317,
      "author_name": "Kichi",
      "author_url": "",
      "post_date": "2021-05-11T02:58:08.593000",
      "content": "<p>I also have a lot of 「Notebook Exceeded Allowed Compute」 and the submission is not accepted. <br>\nIt takes about 50 minutes to run my kernel.</p>\n<p>When I submit from there, I have to wait about an hour and then I get an error with 「Notebook Exceeded Allowed Compute」.</p>\n<p>What's wrong with that?</p>\n<p>My kernel is challenged with a neural network.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1295614,
      "author_name": "",
      "author_url": "",
      "post_date": "2021-05-06T15:30:24.450000",
      "content": "<p>For how long does it run? The maximum run time for a notebook in this competition is 9 hours. Maybe your running time exceeds this.</p>",
      "votes": 0,
      "replies": [
        {
          "id": 1296286,
          "author_name": "Sree Nithish B",
          "author_url": "",
          "post_date": "2021-05-07T06:31:11.233000",
          "content": "<p>Thank you for replying! My running time is less than 40 minutes actually.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1289672": "I'm receiving an error for \"\"Notebook Exceeded Allowed Compute\" but I've  followed all the constraints like naming format submission.csv and submitted notebook with no internet access. This is my first Kaggle submission, so please help me out.",
    "1302193": "Notebook Exceeded Allowed Compute means that the memory requirements are too high for the system to meet. The largest memory allocation in the GPU environment is 13GB. In the past few weeks, I was also affected by memory allocation problems and kept submitting failed. There are a few ideas that may help you:\n\n1. Reduce the length of the input text. Choosing an appropriate text length can reduce the number of input samples to be constructed.\n2. Optimize the preprocessing process and reduce the creation of variables containing a large number of data.\n3. Reduce the construction of intermediate variables. Consider creating tensor variables such as Input id when running the GPU, which can reduce memory usage by 80%.\ngood luck!",
    "1356636": "Had the same issue - tested the code on 8000 documents by utilizing only first 512 tokens in a sentence rather than all the tokens (words) and it worked.",
    "1301317": "I also have a lot of 「Notebook Exceeded Allowed Compute」 and the submission is not accepted. \nIt takes about 50 minutes to run my kernel.\n\nWhen I submit from there, I have to wait about an hour and then I get an error with 「Notebook Exceeded Allowed Compute」.\n\nWhat's wrong with that?\n\nMy kernel is challenged with a neural network.",
    "1295614": "For how long does it run? The maximum run time for a notebook in this competition is 9 hours. Maybe your running time exceeds this."
  }
}