![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2716545%2F2a97fda2c91f68b3caadc42353f77fa4%2FWX20200225-143118.png?generation=1582612384525084&alt=media\")
\nAfter clicking the submission button, it ran for about an hour smoothly, and here is the error called \"Exceeded allowed compute\", do you guys have any idea how to solve this kind of problem? Thanks in advance.\nAfter clicking the submission button, it ran for about an hour smoothly, and here is the error called \"Exceeded allowed compute\", do you guys have any idea how to solve this kind of problem? Thanks in advance.
\nAfter clicking the submission button, it ran for about an hour smoothly, and here is the error called \"Exceeded allowed compute\", do you guys have any idea how to solve this kind of problem? Thanks in advance.
Try to speed up your pipeline. An hour of runtime for 400 samples is a bit longer then expected.
\n\nIt might be an automated check to prevent the platform from spending computational resources on running pipelines that would never succeed given the time restrictions.
", "rawMarkdown": "Try to speed up your pipeline. An hour of runtime for 400 samples is a bit longer then expected.\n\nIt might be an automated check to prevent the platform from spending computational resources on running pipelines that would never succeed given the time restrictions.", "votes": null }, { "id": "756722", "postDate": "02/26/2020 02:25:27", "content": "Thanks, An hour is for submitting rather than committing, it took about 20mins to commit the 400 sample dataset, I think it's a problem of memory leakage, I can run my scripts successfully in the local running environment with no memory leakage problem, does anyone have an idea about this?
", "rawMarkdown": "Thanks, An hour is for submitting rather than committing, it took about 20mins to commit the 400 sample dataset, I think it's a problem of memory leakage, I can run my scripts successfully in the local running environment with no memory leakage problem, does anyone have an idea about this?", "votes": null }, { "id": "757059", "postDate": "02/26/2020 11:36:45", "content": "Did you use up all your GPU for the week already?
", "rawMarkdown": "Did you use up all your GPU for the week already?", "votes": null }, { "id": "757109", "postDate": "02/26/2020 12:53:10", "content": "I still have more than 9 hours PGU quota when I submitted. BTW, thanks for your shared kernal, I actually modify based on yours. \nWhen I ran my scripts, I noticed the memory kept going up, it's ok when u have only 400 videos, but not for 4000 videos, out of memory.
", "rawMarkdown": "I still have more than 9 hours PGU quota when I submitted. BTW, thanks for your shared kernal, I actually modify based on yours. \nWhen I ran my scripts, I noticed the memory kept going up, it's ok when u have only 400 videos, but not for 4000 videos, out of memory.", "votes": null }, { "id": "757691", "postDate": "02/27/2020 02:48:01", "content": "I have the same problem. If Kaggle could just expose the the reason, Like which resource did we exceed, GPU memory, memory, HDD, whatever? It's extremely important.
", "rawMarkdown": "I have the same problem. If Kaggle could just expose the the reason, Like which resource did we exceed, GPU memory, memory, HDD, whatever? It's extremely important.", "votes": null }, { "id": "757696", "postDate": "02/27/2020 02:55:08", "content": "can't agree more, we need the exact error.
", "rawMarkdown": "can't agree more, we need the exact error.", "votes": null } ], "comments": [ { "id": 755874, "author_name": "dvorobiev", "author_url": "", "post_date": "02/25/2020 08:08:53", "content": "Try to speed up your pipeline. An hour of runtime for 400 samples is a bit longer then expected.
\n\nIt might be an automated check to prevent the platform from spending computational resources on running pipelines that would never succeed given the time restrictions.
", "votes": null, "replies": [ { "id": 756722, "author_name": "dacianyu", "author_url": "", "post_date": "02/26/2020 02:25:27", "content": "Thanks, An hour is for submitting rather than committing, it took about 20mins to commit the 400 sample dataset, I think it's a problem of memory leakage, I can run my scripts successfully in the local running environment with no memory leakage problem, does anyone have an idea about this?
", "votes": null, "replies": [] }, { "id": 757059, "author_name": "humananalog", "author_url": "", "post_date": "02/26/2020 11:36:45", "content": "Did you use up all your GPU for the week already?
", "votes": null, "replies": [] }, { "id": 757109, "author_name": "dacianyu", "author_url": "", "post_date": "02/26/2020 12:53:10", "content": "I still have more than 9 hours PGU quota when I submitted. BTW, thanks for your shared kernal, I actually modify based on yours. \nWhen I ran my scripts, I noticed the memory kept going up, it's ok when u have only 400 videos, but not for 4000 videos, out of memory.
", "votes": null, "replies": [] } ] }, { "id": 757691, "author_name": "am1to2", "author_url": "", "post_date": "02/27/2020 02:48:01", "content": "I have the same problem. If Kaggle could just expose the the reason, Like which resource did we exceed, GPU memory, memory, HDD, whatever? It's extremely important.
", "votes": null, "replies": [ { "id": 757696, "author_name": "dacianyu", "author_url": "", "post_date": "02/27/2020 02:55:08", "content": "can't agree more, we need the exact error.
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "755826": "\nAfter clicking the submission button, it ran for about an hour smoothly, and here is the error called \"**Exceeded allowed compute**\", do you guys have any idea how to solve this kind of problem? Thanks in advance.", "755874": "Try to speed up your pipeline. An hour of runtime for 400 samples is a bit longer then expected.\n\nIt might be an automated check to prevent the platform from spending computational resources on running pipelines that would never succeed given the time restrictions.", "756722": "Thanks, An hour is for submitting rather than committing, it took about 20mins to commit the 400 sample dataset, I think it's a problem of memory leakage, I can run my scripts successfully in the local running environment with no memory leakage problem, does anyone have an idea about this?", "757059": "Did you use up all your GPU for the week already?", "757109": "I still have more than 9 hours PGU quota when I submitted. BTW, thanks for your shared kernal, I actually modify based on yours. \nWhen I ran my scripts, I noticed the memory kept going up, it's ok when u have only 400 videos, but not for 4000 videos, out of memory.", "757691": "I have the same problem. If Kaggle could just expose the the reason, Like which resource did we exceed, GPU memory, memory, HDD, whatever? It's extremely important.", "757696": "can't agree more, we need the exact error." }, "source": "meta" }