{
  "id": 74630,
  "title": "commit and run is too slow",
  "url": "/competitions/quora-insincere-questions-classification/discussion/74630",
  "author_name": "",
  "post_date": "2018-12-14T03:07:57.068151Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I still have not successfully submit my submission file, and I run my code at the local machine costs about 40 mins but when I commit the kernel it just hang there with the newest status \"2018-12-14 01:30:09.....create Tensorflow device.....physical GPU( device : 0....compute capability:3.7)\".  I 'd like to know how do you deal with such problem?</p>",
  "messages": [
    {
      "id": "438690",
      "postDate": "12/14/2018 03:07:57",
      "content": "<p>I still have not successfully submit my submission file, and I run my code at the local machine costs about 40 mins but when I commit the kernel it just hang there with the newest status \"2018-12-14 01:30:09.....create Tensorflow device.....physical GPU( device : 0....compute capability:3.7)\".  I 'd like to know how do you deal with such problem?</p>",
      "rawMarkdown": "I still have not successfully submit my submission file, and I run my code at the local machine costs about 40 mins but when I commit the kernel it just hang there with the newest status \"2018-12-14 01:30:09.....create Tensorflow device.....physical GPU( device : 0....compute capability:3.7)\".  I 'd like to know how do you deal with such problem?",
      "votes": null
    },
    {
      "id": "441877",
      "postDate": "12/19/2018 07:37:22",
      "content": "<p>The UI for kernel runs is usually a little buggy for me. Instead, I ignore it completely and move to the \"versions\" page of the kernel. Then refresh that page from time to time. After the kernel is done, the last version will turn green and you can look at the results.</p>",
      "rawMarkdown": "The UI for kernel runs is usually a little buggy for me. Instead, I ignore it completely and move to the \"versions\" page of the kernel. Then refresh that page from time to time. After the kernel is done, the last version will turn green and you can look at the results.",
      "votes": null
    },
    {
      "id": "443374",
      "postDate": "12/21/2018 14:17:41",
      "content": "<p>Thanks Max, I finally made it after I deleted my older kernels, and I think this maybe help.</p>",
      "rawMarkdown": "Thanks Max, I finally made it after I deleted my older kernels, and I think this maybe help.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 441877,
      "author_name": "mschumacher",
      "author_url": "",
      "post_date": "12/19/2018 07:37:22",
      "content": "<p>The UI for kernel runs is usually a little buggy for me. Instead, I ignore it completely and move to the \"versions\" page of the kernel. Then refresh that page from time to time. After the kernel is done, the last version will turn green and you can look at the results.</p>",
      "votes": null,
      "replies": [
        {
          "id": 443374,
          "author_name": "yyhhlancelot",
          "author_url": "",
          "post_date": "12/21/2018 14:17:41",
          "content": "<p>Thanks Max, I finally made it after I deleted my older kernels, and I think this maybe help.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "438690": "I still have not successfully submit my submission file, and I run my code at the local machine costs about 40 mins but when I commit the kernel it just hang there with the newest status \"2018-12-14 01:30:09.....create Tensorflow device.....physical GPU( device : 0....compute capability:3.7)\".  I 'd like to know how do you deal with such problem?",
    "441877": "The UI for kernel runs is usually a little buggy for me. Instead, I ignore it completely and move to the \"versions\" page of the kernel. Then refresh that page from time to time. After the kernel is done, the last version will turn green and you can look at the results.",
    "443374": "Thanks Max, I finally made it after I deleted my older kernels, and I think this maybe help."
  },
  "source": "meta"
}