{
  "id": 125724,
  "title": "GPU Timer anomaly",
  "url": "/competitions/bengaliai-cv19/discussion/125724",
  "author_name": "",
  "post_date": "2020-01-13T05:15:28.086992700Z",
  "votes": 2,
  "comment_count": 6,
  "views": 0,
  "content": "<p>I used the innate Kaggle GPU to train my model for 9 epochs. I started the training on 12 Jan, 7:45 PM IST. The GPU timer started with 00:00. The training was to be done for approx. 8 hours. On 13 JAN, 3:00 AM, the GPU timer soared to 22:00 hours. I was editing only one kernel at that time. How is this possible? Did anyone face such a problem?I used the innate Kaggle GPU to train my model for 9 epochs. I started the training on 12 Jan, 7:45 PM IST. The GPU timer started with 00:00. The training was to be done for approx. 8 hours. On 13 JAN, 3:00 AM , the GPU timer soared to 22:00 hours. I was editing only one kernel at that time. How is this possible? Did anyone face such a problem?</p>",
  "messages": [
    {
      "id": "717432",
      "postDate": "01/13/2020 05:15:28",
      "content": "<p>I used the innate Kaggle GPU to train my model for 9 epochs. I started the training on 12 Jan, 7:45 PM IST. The GPU timer started with 00:00. The training was to be done for approx. 8 hours. On 13 JAN, 3:00 AM, the GPU timer soared to 22:00 hours. I was editing only one kernel at that time. How is this possible? Did anyone face such a problem?I used the innate Kaggle GPU to train my model for 9 epochs. I started the training on 12 Jan, 7:45 PM IST. The GPU timer started with 00:00. The training was to be done for approx. 8 hours. On 13 JAN, 3:00 AM , the GPU timer soared to 22:00 hours. I was editing only one kernel at that time. How is this possible? Did anyone face such a problem?</p>",
      "rawMarkdown": "I used the innate Kaggle GPU to train my model for 9 epochs. I started the training on 12 Jan, 7:45 PM IST. The GPU timer started with 00:00. The training was to be done for approx. 8 hours. On 13 JAN, 3:00 AM, the GPU timer soared to 22:00 hours. I was editing only one kernel at that time. How is this possible? Did anyone face such a problem?I used the innate Kaggle GPU to train my model for 9 epochs. I started the training on 12 Jan, 7:45 PM IST. The GPU timer started with 00:00. The training was to be done for approx. 8 hours. On 13 JAN, 3:00 AM , the GPU timer soared to 22:00 hours. I was editing only one kernel at that time. How is this possible? Did anyone face such a problem?",
      "votes": null
    },
    {
      "id": "717614",
      "postDate": "01/13/2020 11:07:50",
      "content": "<p>Yes Bertram Gilfoyle, AI Marília ,absolute Lack of Intelligence, is here to support you. Even if I didn't join that competition.</p>",
      "rawMarkdown": "Yes Bertram Gilfoyle, AI Marília ,absolute Lack of Intelligence, is here to support you. Even if I didn't join that competition.",
      "votes": null
    },
    {
      "id": "718041",
      "postDate": "01/13/2020 23:19:29",
      "content": "<p>Hi <a href=\"/venky2506\">@venky2506</a> - There are some important points to keep in mind when calculating your GPU quota usage.  First, interactive sessions use GPU quota until they are stopped via the Run -&gt; Power Off menu.  Even if you start a Commit, the interactive session will continue to run, consuming your quota.  Second, a Commit will continue to run until it's finished or you stop it using the controls at www.kaggle.com/your_user_name/account/gpu.  Additionally, since you are permitted to run multiple Commits at a time, be careful not to accidentally start multiple Commits, as each will run and consume quota independently.  Hope that helps.</p>",
      "rawMarkdown": "Hi @venky2506 - There are some important points to keep in mind when calculating your GPU quota usage.  First, interactive sessions use GPU quota until they are stopped via the Run -&gt; Power Off menu.  Even if you start a Commit, the interactive session will continue to run, consuming your quota.  Second, a Commit will continue to run until it's finished or you stop it using the controls at www.kaggle.com/your_user_name/account/gpu.  Additionally, since you are permitted to run multiple Commits at a time, be careful not to accidentally start multiple Commits, as each will run and consume quota independently.  Hope that helps.",
      "votes": null
    },
    {
      "id": "718053",
      "postDate": "01/13/2020 23:34:54",
      "content": "<p><a href=\"/jplotts\">@jplotts</a> Do you mind taking a look at my quota? In just a couple of hours I created 29h of usage. I actually used the \"GPU toggle button\" to turn the GPU off. Are you saying that this button does not turn off the GPU in interactive mode?</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F712087%2Faafeebcf8cde181eaa82e281e1e4aea0%2Fgpu_toggle.png?generation=1578958404950599&amp;alt=media\" alt=\"\"></p>\n\n<p>Edit: After committing I stopped the interactive GPU via \"Return to editor\" -&gt; toggle \"GPU Off\"</p>",
      "rawMarkdown": "jplotts Do you mind taking a look at my quota? In just a couple of hours I created 29h of usage. I actually used the \"GPU toggle button\" to turn the GPU off. Are you saying that this button does not turn off the GPU in interactive mode?\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F712087%2Faafeebcf8cde181eaa82e281e1e4aea0%2Fgpu_toggle.png?generation=1578958404950599&amp;alt=media)\n\nEdit: After committing I stopped the interactive GPU via \"Return to editor\" -&gt; toggle \"GPU Off\"",
      "votes": null
    },
    {
      "id": "718161",
      "postDate": "01/14/2020 05:33:52",
      "content": "<p>It does clear up things. Thanks for the help</p>",
      "rawMarkdown": "It does clear up things. Thanks for the help",
      "votes": null
    },
    {
      "id": "718162",
      "postDate": "01/14/2020 05:34:43",
      "content": "<p>😂 </p>",
      "rawMarkdown": "😂",
      "votes": null
    },
    {
      "id": "718546",
      "postDate": "01/14/2020 14:15:26",
      "content": "<p>Hi <a href=\"/seesee\">@seesee</a> - That slider does indeed turn on/off GPU quota for the interactive session and all subsequent (but not currently running) Commits.  I will respond to your other post called \"Notebook Errors\" regarding your quota usage.</p>",
      "rawMarkdown": "Hi @seesee - That slider does indeed turn on/off GPU quota for the interactive session and all subsequent (but not currently running) Commits.  I will respond to your other post called \"Notebook Errors\" regarding your quota usage.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 717614,
      "author_name": "mpwolke",
      "author_url": "",
      "post_date": "01/13/2020 11:07:50",
      "content": "<p>Yes Bertram Gilfoyle, AI Marília ,absolute Lack of Intelligence, is here to support you. Even if I didn't join that competition.</p>",
      "votes": null,
      "replies": [
        {
          "id": 718162,
          "author_name": "venky2506",
          "author_url": "",
          "post_date": "01/14/2020 05:34:43",
          "content": "<p>😂 </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 718041,
      "author_name": "jplotts",
      "author_url": "",
      "post_date": "01/13/2020 23:19:29",
      "content": "<p>Hi <a href=\"/venky2506\">@venky2506</a> - There are some important points to keep in mind when calculating your GPU quota usage.  First, interactive sessions use GPU quota until they are stopped via the Run -&gt; Power Off menu.  Even if you start a Commit, the interactive session will continue to run, consuming your quota.  Second, a Commit will continue to run until it's finished or you stop it using the controls at www.kaggle.com/your_user_name/account/gpu.  Additionally, since you are permitted to run multiple Commits at a time, be careful not to accidentally start multiple Commits, as each will run and consume quota independently.  Hope that helps.</p>",
      "votes": null,
      "replies": [
        {
          "id": 718053,
          "author_name": "seesee",
          "author_url": "",
          "post_date": "01/13/2020 23:34:54",
          "content": "<p><a href=\"/jplotts\">@jplotts</a> Do you mind taking a look at my quota? In just a couple of hours I created 29h of usage. I actually used the \"GPU toggle button\" to turn the GPU off. Are you saying that this button does not turn off the GPU in interactive mode?</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F712087%2Faafeebcf8cde181eaa82e281e1e4aea0%2Fgpu_toggle.png?generation=1578958404950599&amp;alt=media\" alt=\"\"></p>\n\n<p>Edit: After committing I stopped the interactive GPU via \"Return to editor\" -&gt; toggle \"GPU Off\"</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 718161,
          "author_name": "venky2506",
          "author_url": "",
          "post_date": "01/14/2020 05:33:52",
          "content": "<p>It does clear up things. Thanks for the help</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 718546,
          "author_name": "jplotts",
          "author_url": "",
          "post_date": "01/14/2020 14:15:26",
          "content": "<p>Hi <a href=\"/seesee\">@seesee</a> - That slider does indeed turn on/off GPU quota for the interactive session and all subsequent (but not currently running) Commits.  I will respond to your other post called \"Notebook Errors\" regarding your quota usage.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "717432": "I used the innate Kaggle GPU to train my model for 9 epochs. I started the training on 12 Jan, 7:45 PM IST. The GPU timer started with 00:00. The training was to be done for approx. 8 hours. On 13 JAN, 3:00 AM, the GPU timer soared to 22:00 hours. I was editing only one kernel at that time. How is this possible? Did anyone face such a problem?I used the innate Kaggle GPU to train my model for 9 epochs. I started the training on 12 Jan, 7:45 PM IST. The GPU timer started with 00:00. The training was to be done for approx. 8 hours. On 13 JAN, 3:00 AM , the GPU timer soared to 22:00 hours. I was editing only one kernel at that time. How is this possible? Did anyone face such a problem?",
    "717614": "Yes Bertram Gilfoyle, AI Marília ,absolute Lack of Intelligence, is here to support you. Even if I didn't join that competition.",
    "718041": "Hi @venky2506 - There are some important points to keep in mind when calculating your GPU quota usage.  First, interactive sessions use GPU quota until they are stopped via the Run -&gt; Power Off menu.  Even if you start a Commit, the interactive session will continue to run, consuming your quota.  Second, a Commit will continue to run until it's finished or you stop it using the controls at www.kaggle.com/your_user_name/account/gpu.  Additionally, since you are permitted to run multiple Commits at a time, be careful not to accidentally start multiple Commits, as each will run and consume quota independently.  Hope that helps.",
    "718053": "jplotts Do you mind taking a look at my quota? In just a couple of hours I created 29h of usage. I actually used the \"GPU toggle button\" to turn the GPU off. Are you saying that this button does not turn off the GPU in interactive mode?\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F712087%2Faafeebcf8cde181eaa82e281e1e4aea0%2Fgpu_toggle.png?generation=1578958404950599&amp;alt=media)\n\nEdit: After committing I stopped the interactive GPU via \"Return to editor\" -&gt; toggle \"GPU Off\"",
    "718161": "It does clear up things. Thanks for the help",
    "718162": "😂",
    "718546": "Hi @seesee - That slider does indeed turn on/off GPU quota for the interactive session and all subsequent (but not currently running) Commits.  I will respond to your other post called \"Notebook Errors\" regarding your quota usage."
  },
  "source": "meta"
}