{
  "id": 238482,
  "title": "GPU Accelerator Problem",
  "url": "/competitions/coleridgeinitiative-show-us-the-data/discussion/238482",
  "author_name": "",
  "post_date": "2021-05-12T10:02:06.267382400Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>When using my GPU accelerator I eventually get this problem CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 15.90 GiB total capacity; 14.61 GiB already allocated; 19.75 MiB free; 15.01 GiB reserved in total by PyTorch). Does anyone know how to fix it? Sorry if it is out of the scope of the competition.</p>",
  "messages": [
    {
      "id": "1303879",
      "postDate": "05/12/2021 10:02:06",
      "content": "<p>When using my GPU accelerator I eventually get this problem CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 15.90 GiB total capacity; 14.61 GiB already allocated; 19.75 MiB free; 15.01 GiB reserved in total by PyTorch). Does anyone know how to fix it? Sorry if it is out of the scope of the competition.</p>",
      "rawMarkdown": "When using my GPU accelerator I eventually get this problem CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 15.90 GiB total capacity; 14.61 GiB already allocated; 19.75 MiB free; 15.01 GiB reserved in total by PyTorch). Does anyone know how to fix it? Sorry if it is out of the scope of the competition.",
      "votes": null
    },
    {
      "id": "1306713",
      "postDate": "05/14/2021 03:26:07",
      "content": "<p>You ran out of memory. Use a smaller batch size</p>",
      "rawMarkdown": "You ran out of memory. Use a smaller batch size",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1306713,
      "author_name": "nbroad",
      "author_url": "",
      "post_date": "05/14/2021 03:26:07",
      "content": "<p>You ran out of memory. Use a smaller batch size</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1303879": "When using my GPU accelerator I eventually get this problem CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 15.90 GiB total capacity; 14.61 GiB already allocated; 19.75 MiB free; 15.01 GiB reserved in total by PyTorch). Does anyone know how to fix it? Sorry if it is out of the scope of the competition.",
    "1306713": "You ran out of memory. Use a smaller batch size"
  },
  "source": "meta"
}