Anurag1734/cuda-error-resolution-analysis
07
1[2 {3 "post_stream": {4 "posts": [5 {6 "id": 279887,7 "name": "Brett",8 "username": "darthbark",9 "avatar_template": "/letter_avatar_proxy/v4/letter/d/f6c823/{size}.png",10 "created_at": "2021-04-27T05:04:21.088Z",11 "cooked": "<p>I am trying to get 2-D and 3-D interpolation table lookup running in pytorch, but I don’t believe <a href=\"https://pytorch.org/docs/stable/generated/torch.lerp.html\" rel=\"noopener nofollow ugc\">torch.lerp</a> supports it and haven’t been able to find any other pytorch native solution. Has anyone done a neural network approximation of a 2-D or 3-D linear interpolation table in pytorch? I am wondering if it is a worthwhile endeavor for speed at inference time (especially if the required size of NN to approximate a table is large) or if there is a simpler/more standard way that I missed.</p>\n<p>For some background: I am trying to encode a known physical relationships that is in the form a linear interpolation table into a LSTM time series forecast system I am designing. The interpolation table queries would be done during training, so this isn’t simply a pre-processing step.</p>",12 "post_number": 1,13 "post_type": 1,14 "posts_count": 1,15 "updated_at": "2021-04-27T05:04:21.088Z",16 "reply_count": 0,17 "reply_to_post_number": null,18 "quote_count": 0,19 "incoming_link_count": 230,20 "reads": 3,21 "readers_count": 2,22 "score": 1145.6,23 "yours": false,24 "topic_id": 119527,25 "topic_slug": "pytorch-2-d-and-3-d-table-interpolation",26 "display_username": "Brett",27 "primary_group_name": null,28 "flair_name": null,29 "flair_url": null,30 "flair_bg_color": null,31 "flair_color": null,32 "flair_group_id": null,33 "badges_granted": [],34 "version": 1,35 "can_edit": false,36 "can_delete": false,37 "can_recover": false,38 "can_see_hidden_post": false,39 "can_wiki": false,40 "link_counts": [41 {42 "url": "https://pytorch.org/docs/stable/generated/torch.lerp.html",43 "internal": false,44 "reflection": false,45 "title": "torch.lerp — PyTorch 1.8.1 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"/letter_avatar_proxy/v4/letter/a/6bbea6/{size}.png",435 "created_at": "2021-04-27T04:21:53.632Z",436 "cooked": "<p>Hi there,<br>\nI’m trying to build a model that takes 2 images as inputs. I’ve tried out some simple examples to do this on the forum and those have worked well.</p>\n<p>But I’m keen to scale this up to a more complex architecture like Densenet but I can’t find how to do this. Is anyone able to provide example or explain how one could make a Densenet that takes two inputs that are maybe concatenated a few layers in?</p>\n<p>Thanks very much,<br>\nAlly</p>",437 "post_number": 1,438 "post_type": 1,439 "posts_count": 1,440 "updated_at": "2021-04-27T04:21:53.632Z",441 "reply_count": 0,442 "reply_to_post_number": null,443 "quote_count": 0,444 "incoming_link_count": 73,445 "reads": 3,446 "readers_count": 2,447 "score": 365.6,448 "yours": false,449 "topic_id": 119525,450 "topic_slug": "multiple-input-densenet",451 "display_username": "Ally Bird",452 "primary_group_name": null,453 "flair_name": null,454 "flair_url": null,455 "flair_bg_color": null,456 "flair_color": null,457 "flair_group_id": null,458 "badges_granted": [],459 "version": 1,460 "can_edit": false,461 "can_delete": false,462 "can_recover": false,463 "can_see_hidden_post": false,464 "can_wiki": false,465 "read": true,466 "user_title": null,467 "bookmarked": false,468 "actions_summary": [],469 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"id": 11449,841 "username": "AllyBird",842 "name": "Ally Bird",843 "avatar_template": "/letter_avatar_proxy/v4/letter/a/6bbea6/{size}.png"844 },845 "last_poster": {846 "id": 11449,847 "username": "AllyBird",848 "name": "Ally Bird",849 "avatar_template": "/letter_avatar_proxy/v4/letter/a/6bbea6/{size}.png"850 }851 },852 "bookmarks": []853 },854 {855 "post_stream": {856 "posts": [857 {858 "id": 106088,859 "name": "hjfdfx",860 "username": "hfengzhi",861 "avatar_template": "/letter_avatar_proxy/v4/letter/h/5f9b8f/{size}.png",862 "created_at": "2019-04-16T09:16:57.328Z",863 "cooked": "<p>i try to run this operation after the forward ,it spend more than 100ms.it’s strange as the forward only need 2ms.<br>\ni thought it’s because the gpu free memory take lot of time. I try to do that let it sleep one second after the forward ,it run fast.</p>\n<pre><code class=\"lang-auto\">boundingBoxesOfOne = torch::masked_select(boundingBoxesOfOne, mask).detach().cpu();\n</code></pre>\n<p>Is there any way to get him to run fast?<br>\nI will be very grateful for any help.</p>",864 "post_number": 1,865 "post_type": 1,866 "posts_count": 3,867 "updated_at": "2019-04-16T09:16:57.328Z",868 "reply_count": 0,869 "reply_to_post_number": null,870 "quote_count": 0,871 "incoming_link_count": 55,872 "reads": 21,873 "readers_count": 20,874 "score": 279.2,875 "yours": false,876 "topic_id": 42720,877 "topic_slug": "strange-time-consumption-after-forward-with-c",878 "display_username": "hjfdfx",879 "primary_group_name": null,880 "flair_name": null,881 "flair_url": null,882 "flair_bg_color": null,883 "flair_color": null,884 "flair_group_id": null,885 "badges_granted": [],886 "version": 1,887 "can_edit": false,888 "can_delete": false,889 "can_recover": false,890 "can_see_hidden_post": false,891 "can_wiki": false,892 "read": true,893 "user_title": "",894 "bookmarked": false,895 "actions_summary": [],896 "moderator": false,897 "admin": false,898 "staff": false,899 "user_id": 17715,900 "hidden": false,901 "trust_level": 1,902 "deleted_at": null,903 "user_deleted": false,904 "edit_reason": null,905 "can_view_edit_history": true,906 "wiki": false,907 "post_url": "/t/strange-time-consumption-after-forward-with-c/42720/1",908 "can_accept_answer": false,909 "can_unaccept_answer": false,910 "accepted_answer": false,911 "topic_accepted_answer": null,912 "can_vote": false913 },914 {915 "id": 124785,916 "name": "PyTorch Developer, Meta",917 "username": "yf225",918 "avatar_template": "/user_avatar/discuss.pytorch.org/yf225/{size}/3418_2.png",919 "created_at": "2019-07-23T01:40:44.369Z",920 "cooked": "<p>When you measure the runtime of forward, did you use <code>cudaStreamSynchronize(...)</code> (which is equivalent to <code>torch.cuda.synchronize()</code> in Python)? This can affect runtime measurement because CUDA is by default asynchronous.</p>",921 "post_number": 2,922 "post_type": 1,923 "posts_count": 3,924 "updated_at": "2019-07-23T01:40:44.369Z",925 "reply_count": 0,926 "reply_to_post_number": null,927 "quote_count": 0,928 "incoming_link_count": 2,929 "reads": 16,930 "readers_count": 15,931 "score": 13.2,932 "yours": false,933 "topic_id": 42720,934 "topic_slug": "strange-time-consumption-after-forward-with-c",935 "display_username": "PyTorch Developer, Meta",936 "primary_group_name": null,937 "flair_name": null,938 "flair_url": null,939 "flair_bg_color": null,940 "flair_color": null,941 "flair_group_id": null,942 "badges_granted": [],943 "version": 1,944 "can_edit": false,945 "can_delete": false,946 "can_recover": false,947 "can_see_hidden_post": false,948 "can_wiki": false,949 "read": true,950 "user_title": "",951 "bookmarked": false,952 "actions_summary": [],953 "moderator": false,954 "admin": false,955 "staff": false,956 "user_id": 6225,957 "hidden": false,958 "trust_level": 2,959 "deleted_at": null,960 "user_deleted": false,961 "edit_reason": null,962 "can_view_edit_history": true,963 "wiki": false,964 "post_url": "/t/strange-time-consumption-after-forward-with-c/42720/2",965 "can_accept_answer": false,966 "can_unaccept_answer": false,967 "accepted_answer": false,968 "topic_accepted_answer": null969 },970 {971 "id": 279882,972 "name": "Narayanan Elavathur Ranganatha",973 "username": "narurajun",974 "avatar_template": "/letter_avatar_proxy/v4/letter/n/8c91f0/{size}.png",975 "created_at": "2021-04-27T04:20:39.300Z",976 "cooked": "<p>Hello, I am experiencing the same issue, the operations takes 45ms for me, were you able to resolve it?</p>",977 "post_number": 3,978 "post_type": 1,979 "posts_count": 3,980 "updated_at": "2021-04-27T04:20:39.300Z",981 "reply_count": 0,982 "reply_to_post_number": null,983 "quote_count": 0,984 "incoming_link_count": 1,985 "reads": 7,986 "readers_count": 6,987 "score": 6.4,988 "yours": 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