{
  "id": 180545,
  "title": "CUDA error 59: Device-side assert triggered",
  "url": "/competitions/landmark-recognition-2020/discussion/180545",
  "author_name": "",
  "post_date": "2020-09-05T13:48:41.457058600Z",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Please help in solving this issue</p>",
  "messages": [
    {
      "id": "999229",
      "postDate": "09/05/2020 13:48:41",
      "content": "<p>Please help in solving this issue</p>",
      "rawMarkdown": "Please help in solving this issue",
      "votes": null
    },
    {
      "id": "999426",
      "postDate": "09/05/2020 16:28:02",
      "content": "<p>Hi There may be two reason for this Problem First is Inconsistency between the number of labels /classes and no of outputs  or There may be the case in which Input of Loss Function may be incorrect.</p>\n<p>You can use:<br>\nCUDA_LAUNCH_BLOCKING=\"1\"<br>\nat the very beginning of code to get the descriptive error.</p>",
      "rawMarkdown": "Hi There may be two reason for this Problem First is Inconsistency between the number of labels /classes and no of outputs  or There may be the case in which Input of Loss Function may be incorrect.\n\nYou can use:\nCUDA_LAUNCH_BLOCKING=\"1\"\nat the very beginning of code to get the descriptive error.",
      "votes": null
    },
    {
      "id": "999852",
      "postDate": "09/06/2020 05:02:55",
      "content": "<p>thanks for the explanation <a href=\"https://www.kaggle.com/anirudha16101\" target=\"_blank\">@anirudha16101</a></p>",
      "rawMarkdown": "thanks for the explanation @anirudha16101",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 999426,
      "author_name": "anirudha16101",
      "author_url": "",
      "post_date": "09/05/2020 16:28:02",
      "content": "<p>Hi There may be two reason for this Problem First is Inconsistency between the number of labels /classes and no of outputs  or There may be the case in which Input of Loss Function may be incorrect.</p>\n<p>You can use:<br>\nCUDA_LAUNCH_BLOCKING=\"1\"<br>\nat the very beginning of code to get the descriptive error.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 999852,
      "author_name": "sanjaydsb",
      "author_url": "",
      "post_date": "09/06/2020 05:02:55",
      "content": "<p>thanks for the explanation <a href=\"https://www.kaggle.com/anirudha16101\" target=\"_blank\">@anirudha16101</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "999229": "Please help in solving this issue",
    "999426": "Hi There may be two reason for this Problem First is Inconsistency between the number of labels /classes and no of outputs  or There may be the case in which Input of Loss Function may be incorrect.\n\nYou can use:\nCUDA_LAUNCH_BLOCKING=\"1\"\nat the very beginning of code to get the descriptive error.",
    "999852": "thanks for the explanation @anirudha16101"
  },
  "source": "meta"
}