{
  "id": 181423,
  "title": "Execution time for submitted kernel",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/181423",
  "author_name": "",
  "post_date": "2020-09-08T18:43:13.405871400Z",
  "votes": 4,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hello,</p>\n<p>Sorry if the answer is obvious. I just realized the execution time shown in the Execution Info section is unnaturally low than the time it was taken by the kernel when I submitted the solution. Is this the time (I highly doubt) that is compared against the time limit (GPU 4 hours, CPU 9 hours)?</p>\n<p>If not how can I find the execution time of the submission?</p>",
  "messages": [
    {
      "id": "1003217",
      "postDate": "09/08/2020 18:43:13",
      "content": "<p>Hello,</p>\n<p>Sorry if the answer is obvious. I just realized the execution time shown in the Execution Info section is unnaturally low than the time it was taken by the kernel when I submitted the solution. Is this the time (I highly doubt) that is compared against the time limit (GPU 4 hours, CPU 9 hours)?</p>\n<p>If not how can I find the execution time of the submission?</p>",
      "rawMarkdown": "Hello,\n\nSorry if the answer is obvious. I just realized the execution time shown in the Execution Info section is unnaturally low than the time it was taken by the kernel when I submitted the solution. Is this the time (I highly doubt) that is compared against the time limit (GPU 4 hours, CPU 9 hours)?\n\nIf not how can I find the execution time of the submission?",
      "votes": null
    },
    {
      "id": "1005771",
      "postDate": "09/10/2020 18:22:12",
      "content": "<p>The execution time for a notebook that you've committed is isolated to its run during the commit on the public test set. Since, in this case, the private test set is larger (see the Data page for specifics), you can expect the submission re-run to be considerably longer. And the \"run time\" on that notebook that you see does not take into account the submission run. The submission's run-time is not made available by design.</p>",
      "rawMarkdown": "The execution time for a notebook that you've committed is isolated to its run during the commit on the public test set. Since, in this case, the private test set is larger (see the Data page for specifics), you can expect the submission re-run to be considerably longer. And the \"run time\" on that notebook that you see does not take into account the submission run. The submission's run-time is not made available by design.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1005771,
      "author_name": "juliaelliott",
      "author_url": "",
      "post_date": "09/10/2020 18:22:12",
      "content": "<p>The execution time for a notebook that you've committed is isolated to its run during the commit on the public test set. Since, in this case, the private test set is larger (see the Data page for specifics), you can expect the submission re-run to be considerably longer. And the \"run time\" on that notebook that you see does not take into account the submission run. The submission's run-time is not made available by design.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1003217": "Hello,\n\nSorry if the answer is obvious. I just realized the execution time shown in the Execution Info section is unnaturally low than the time it was taken by the kernel when I submitted the solution. Is this the time (I highly doubt) that is compared against the time limit (GPU 4 hours, CPU 9 hours)?\n\nIf not how can I find the execution time of the submission?",
    "1005771": "The execution time for a notebook that you've committed is isolated to its run during the commit on the public test set. Since, in this case, the private test set is larger (see the Data page for specifics), you can expect the submission re-run to be considerably longer. And the \"run time\" on that notebook that you see does not take into account the submission run. The submission's run-time is not made available by design."
  },
  "source": "meta"
}