Anurag1734/cuda-error-resolution-analysis
07
1[2 {3 "post_stream": {4 "posts": [5 {6 "id": 286414,7 "name": "Dryden Wiebe",8 "username": "drydenwiebe",9 "avatar_template": "/letter_avatar_proxy/v4/letter/d/50afbb/{size}.png",10 "created_at": "2021-05-26T22:47:45.431Z",11 "cooked": "<p>Right now I have an image dataset of shape (N, C, D, H, W) where N is the batch, C is the channels, D is the number of frames and H and W are height and width respectively.</p>\n<p>We can think of it as video data where D is the number of frames of (C, H, W) images.</p>\n<p>What I want to do is to gaussian blur along the time (D) axis for each pixel in (C, H, W). I know how to use torchvision.transforms.GaussianBlur, but this is for a blur where the input is […, C, H, W] and is a 2d blur. What I want is a 1D pixelwise blur along a specific axis.</p>\n<p>Any ideas?</p>\n<p>Thanks!</p>",12 "post_number": 1,13 "post_type": 1,14 "posts_count": 2,15 "updated_at": "2021-05-26T22:47:45.431Z",16 "reply_count": 0,17 "reply_to_post_number": null,18 "quote_count": 0,19 "incoming_link_count": 29,20 "reads": 5,21 "readers_count": 4,22 "score": 146.0,23 "yours": false,24 "topic_id": 122490,25 "topic_slug": "pixelwise-blur-along-time-todmai",26 "display_username": "Dryden Wiebe",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 "read": true,41 "user_title": null,42 "bookmarked": false,43 "actions_summary": [],44 "moderator": false,45 "admin": false,46 "staff": false,47 "user_id": 28994,48 "hidden": false,49 "trust_level": 1,50 "deleted_at": null,51 "user_deleted": false,52 "edit_reason": null,53 "can_view_edit_history": true,54 "wiki": false,55 "post_url": "/t/pixelwise-blur-along-time-todmai/122490/1",56 "can_accept_answer": false,57 "can_unaccept_answer": false,58 "accepted_answer": false,59 "topic_accepted_answer": null,60 "can_vote": false61 },62 {63 "id": 286508,64 "name": "",65 "username": "ptrblck",66 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",67 "created_at": "2021-05-27T06:08:49.246Z",68 "cooked": "<p>You could create a gaussian blur kernel in the appropriate shape and use the functional API via <code>F.conv3d</code> to apply it to the input, as I don’t know, if transformations support gaussian blurring for 3d data for a specific dimension only.</p>",69 "post_number": 2,70 "post_type": 1,71 "posts_count": 2,72 "updated_at": "2021-05-27T06:08:49.246Z",73 "reply_count": 0,74 "reply_to_post_number": null,75 "quote_count": 0,76 "incoming_link_count": 0,77 "reads": 3,78 "readers_count": 2,79 "score": 0.6,80 "yours": false,81 "topic_id": 122490,82 "topic_slug": "pixelwise-blur-along-time-todmai",83 "display_username": "",84 "primary_group_name": null,85 "flair_name": null,86 "flair_url": null,87 "flair_bg_color": null,88 "flair_color": null,89 "flair_group_id": null,90 "badges_granted": [],91 "version": 1,92 "can_edit": false,93 "can_delete": false,94 "can_recover": false,95 "can_see_hidden_post": false,96 "can_wiki": false,97 "read": true,98 "user_title": "",99 "bookmarked": false,100 "actions_summary": [],101 "moderator": true,102 "admin": true,103 "staff": true,104 "user_id": 3534,105 "hidden": false,106 "trust_level": 2,107 "deleted_at": null,108 "user_deleted": false,109 "edit_reason": null,110 "can_view_edit_history": true,111 "wiki": false,112 "post_url": "/t/pixelwise-blur-along-time-todmai/122490/2",113 "can_accept_answer": false,114 "can_unaccept_answer": false,115 "accepted_answer": false,116 "topic_accepted_answer": null117 }118 ],119 "stream": [120 286414,121 286508122 ]123 },124 "timeline_lookup": [125 [126 1,127 1613128 ]129 ],130 "suggested_topics": [131 {132 "fancy_title": "Loss not Decreasing while training UNET",133 "id": 219167,134 "title": "Loss not Decreasing while training UNET",135 "slug": "loss-not-decreasing-while-training-unet",136 "posts_count": 4,137 "reply_count": 1,138 "highest_post_number": 4,139 "image_url": null,140 "created_at": "2025-04-16T17:26:41.889Z",141 "last_posted_at": "2025-05-26T19:08:48.848Z",142 "bumped": true,143 "bumped_at": "2025-05-26T19:08:48.848Z",144 "archetype": "regular",145 "unseen": false,146 "pinned": false,147 "unpinned": null,148 "visible": true,149 "closed": false,150 "archived": false,151 "bookmarked": null,152 "liked": null,153 "tags_descriptions": {},154 "like_count": 0,155 "views": 143,156 "category_id": 5,157 "featured_link": null,158 "has_accepted_answer": false,159 "posters": [160 {161 "extras": null,162 "description": "Original Poster",163 "user": {164 "id": 83857,165 "username": "Jaskeerat",166 "name": "Jaskeerat",167 "avatar_template": "/user_avatar/discuss.pytorch.org/jaskeerat/{size}/76675_2.png",168 "trust_level": 0169 }170 },171 {172 "extras": null,173 "description": "Frequent Poster",174 "user": {175 "id": 18088,176 "username": "KFrank",177 "name": "K. 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"participants": [487 {488 "id": 3534,489 "username": "ptrblck",490 "name": "",491 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",492 "post_count": 1,493 "primary_group_name": null,494 "flair_name": null,495 "flair_url": null,496 "flair_color": null,497 "flair_bg_color": null,498 "flair_group_id": null,499 "admin": true,500 "moderator": true,501 "trust_level": 2502 },503 {504 "id": 28994,505 "username": "drydenwiebe",506 "name": "Dryden Wiebe",507 "avatar_template": "/letter_avatar_proxy/v4/letter/d/50afbb/{size}.png",508 "post_count": 1,509 "primary_group_name": null,510 "flair_name": null,511 "flair_url": null,512 "flair_color": null,513 "flair_bg_color": null,514 "flair_group_id": null,515 "trust_level": 1516 }517 ],518 "created_by": {519 "id": 28994,520 "username": "drydenwiebe",521 "name": "Dryden Wiebe",522 "avatar_template": "/letter_avatar_proxy/v4/letter/d/50afbb/{size}.png"523 },524 "last_poster": {525 "id": 3534,526 "username": "ptrblck",527 "name": "",528 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png"529 }530 },531 "bookmarks": []532 },533 {534 "post_stream": {535 "posts": [536 {537 "id": 286311,538 "name": "lima",539 "username": "lima",540 "avatar_template": "/user_avatar/discuss.pytorch.org/lima/{size}/38515_2.png",541 "created_at": "2021-05-26T13:56:13.899Z",542 "cooked": "<p>I have a dataset of N audio frames of size (N , 13), and for the task of phoneme recognition</p>\n<pre><code class=\"lang-auto\">train_data = torch.hstack((train_feat, train_labels))\ntrain_loader = torch.utils.data.DataLoader(train_data, batch_size= 128, shuffle=True)\n</code></pre>\n<pre><code class=\"lang-auto\">print(train_data.shape)\ntorch.Size([3082092, 14])\n</code></pre>\n<p>How can I stack 7 frames each time to feed to the DNN?</p>",543 "post_number": 1,544 "post_type": 1,545 "posts_count": 6,546 "updated_at": "2021-05-26T13:56:13.899Z",547 "reply_count": 0,548 "reply_to_post_number": null,549 "quote_count": 0,550 "incoming_link_count": 228,551 "reads": 6,552 "readers_count": 5,553 "score": 1141.2,554 "yours": false,555 "topic_id": 122436,556 "topic_slug": "stack-frames-for-dnn-input",557 "display_username": "lima",558 "primary_group_name": null,559 "flair_name": null,560 "flair_url": null,561 "flair_bg_color": null,562 "flair_color": null,563 "flair_group_id": null,564 "badges_granted": [],565 "version": 1,566 "can_edit": false,567 "can_delete": false,568 "can_recover": false,569 "can_see_hidden_post": false,570 "can_wiki": false,571 "read": true,572 "user_title": null,573 "bookmarked": false,574 "actions_summary": [],575 "moderator": false,576 "admin": false,577 "staff": false,578 "user_id": 45563,579 "hidden": false,580 "trust_level": 1,581 "deleted_at": null,582 "user_deleted": false,583 "edit_reason": null,584 "can_view_edit_history": true,585 "wiki": false,586 "post_url": "/t/stack-frames-for-dnn-input/122436/1",587 "can_accept_answer": false,588 "can_unaccept_answer": false,589 "accepted_answer": false,590 "topic_accepted_answer": null,591 "can_vote": false592 },593 {594 "id": 286488,595 "name": "",596 "username": "ptrblck",597 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",598 "created_at": "2021-05-27T04:50:31.105Z",599 "cooked": "<p>I’m not sure which dimension refers to the “frame dimension”, but you could probably either use <code>torch.stack</code> or <code>torch.cat</code> to create the new stacked/concatenated tensor.</p>",600 "post_number": 2,601 "post_type": 1,602 "posts_count": 6,603 "updated_at": "2021-05-27T04:50:31.105Z",604 "reply_count": 1,605 "reply_to_post_number": null,606 "quote_count": 0,607 "incoming_link_count": 1,608 "reads": 6,609 "readers_count": 5,610 "score": 11.2,611 "yours": false,612 "topic_id": 122436,613 "topic_slug": "stack-frames-for-dnn-input",614 "display_username": "",615 "primary_group_name": null,616 "flair_name": null,617 "flair_url": null,618 "flair_bg_color": null,619 "flair_color": null,620 "flair_group_id": null,621 "badges_granted": [],622 "version": 1,623 "can_edit": false,624 "can_delete": false,625 "can_recover": false,626 "can_see_hidden_post": false,627 "can_wiki": false,628 "read": true,629 "user_title": "",630 "bookmarked": false,631 "actions_summary": [],632 "moderator": true,633 "admin": true,634 "staff": true,635 "user_id": 3534,636 "hidden": false,637 "trust_level": 2,638 "deleted_at": null,639 "user_deleted": false,640 "edit_reason": null,641 "can_view_edit_history": true,642 "wiki": false,643 "post_url": "/t/stack-frames-for-dnn-input/122436/2",644 "can_accept_answer": false,645 "can_unaccept_answer": false,646 "accepted_answer": false,647 "topic_accepted_answer": null648 },649 {650 "id": 286492,651 "name": "lima",652 "username": "lima",653 "avatar_template": "/user_avatar/discuss.pytorch.org/lima/{size}/38515_2.png",654 "created_at": "2021-05-27T05:13:42.144Z",655 "cooked": "<p>Hi <a class=\"mention\" href=\"/u/ptrblck\">@ptrblck</a> . The x_train dataset is 3082092 frames. Each frame has 13 numbers (features).<br>\nThe y_train is 3082092 digit (labels).<br>\nThat is for each frame (1,13) there’s one label…<br>\nNow, feeding pne frame to the DNN is not going to work because there’s too small information in it. Instead,I would like to stack a sequence of 7 frames (of those 3082092). I hope that makes sense.</p>",656 "post_number": 3,657 "post_type": 1,658 "posts_count": 6,659 "updated_at": "2021-05-27T05:13:42.144Z",660 "reply_count": 1,661 "reply_to_post_number": 2,662 "quote_count": 0,663 "incoming_link_count": 1,664 "reads": 6,665 "readers_count": 5,666 "score": 11.2,667 "yours": false,668 "topic_id": 122436,669 "topic_slug": "stack-frames-for-dnn-input",670 "display_username": "lima",671 "primary_group_name": null,672 "flair_name": null,673 "flair_url": null,674 "flair_bg_color": null,675 "flair_color": null,676 "flair_group_id": null,677 "badges_granted": [],678 "version": 1,679 "can_edit": false,680 "can_delete": false,681 "can_recover": false,682 "can_see_hidden_post": false,683 "can_wiki": false,684 "read": true,685 "user_title": null,686 "reply_to_user": {687 "id": 3534,688 "username": "ptrblck",689 "name": "",690 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png"691 },692 "bookmarked": false,693 "actions_summary": [],694 "moderator": false,695 "admin": false,696 "staff": false,697 "user_id": 45563,698 "hidden": false,699 "trust_level": 1,700 "deleted_at": null,701 "user_deleted": false,702 "edit_reason": null,703 "can_view_edit_history": true,704 "wiki": false,705 "post_url": "/t/stack-frames-for-dnn-input/122436/3",706 "can_accept_answer": false,707 "can_unaccept_answer": false,708 "accepted_answer": false,709 "topic_accepted_answer": null710 },711 {712 "id": 286494,713 "name": "",714 "username": "ptrblck",715 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",716 "created_at": "2021-05-27T05:16:23.896Z",717 "cooked": "<p>Thanks for the explanation. The 7 frames would thus correspond to the batch size and you could set it in the <code>DataLoader</code>.</p>",718 "post_number": 4,719 "post_type": 1,720 "posts_count": 6,721 "updated_at": "2021-05-27T05:16:23.896Z",722 "reply_count": 1,723 "reply_to_post_number": 3,724 "quote_count": 0,725 "incoming_link_count": 1,726 "reads": 4,727 "readers_count": 3,728 "score": 10.8,729 "yours": false,730 "topic_id": 122436,731 "topic_slug": "stack-frames-for-dnn-input",732 "display_username": "",733 "primary_group_name": null,734 "flair_name": null,735 "flair_url": null,736 "flair_bg_color": null,737 "flair_color": null,738 "flair_group_id": null,739 "badges_granted": [],740 "version": 1,741 "can_edit": false,742 "can_delete": false,743 "can_recover": false,744 "can_see_hidden_post": false,745 "can_wiki": false,746 "read": true,747 "user_title": "",748 "reply_to_user": {749 "id": 45563,750 "username": "lima",751 "name": "lima",752 "avatar_template": "/user_avatar/discuss.pytorch.org/lima/{size}/38515_2.png"753 },754 "bookmarked": false,755 "actions_summary": [],756 "moderator": true,757 "admin": true,758 "staff": true,759 "user_id": 3534,760 "hidden": false,761 "trust_level": 2,762 "deleted_at": null,763 "user_deleted": false,764 "edit_reason": null,765 "can_view_edit_history": true,766 "wiki": false,767 "post_url": "/t/stack-frames-for-dnn-input/122436/4",768 "can_accept_answer": false,769 "can_unaccept_answer": false,770 "accepted_answer": false,771 "topic_accepted_answer": null772 },773 {774 "id": 286498,775 "name": "lima",776 "username": "lima",777 "avatar_template": "/user_avatar/discuss.pytorch.org/lima/{size}/38515_2.png",778 "created_at": "2021-05-27T05:46:36.892Z",779 "cooked": "<p>In that case, the DNN would look at them as 7 individual units, but I wanted to stack 7 frames as one unit.</p>",780 "post_number": 5,781 "post_type": 1,782 "posts_count": 6,783 "updated_at": "2021-05-27T05:46:36.892Z",784 "reply_count": 1,785 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false,826 "edit_reason": null,827 "can_view_edit_history": true,828 "wiki": false,829 "post_url": "/t/stack-frames-for-dnn-input/122436/5",830 "can_accept_answer": false,831 "can_unaccept_answer": false,832 "accepted_answer": false,833 "topic_accepted_answer": null834 },835 {836 "id": 286501,837 "name": "",838 "username": "ptrblck",839 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",840 "created_at": "2021-05-27T05:54:58.126Z",841 "cooked": "<p>Could you explain how one “unit” would be processed in the model and what the expected input shape would thus be?</p>",842 "post_number": 6,843 "post_type": 1,844 "posts_count": 6,845 "updated_at": "2021-05-27T05:54:58.126Z",846 "reply_count": 0,847 "reply_to_post_number": 5,848 "quote_count": 0,849 "incoming_link_count": 0,850 "reads": 4,851 "readers_count": 3,852 "score": 0.8,853 "yours": false,854 "topic_id": 122436,855 "topic_slug": "stack-frames-for-dnn-input",856 "display_username": "",857 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