Anurag1734/cuda-error-resolution-analysis
07
1[2 {3 "post_stream": {4 "posts": [5 {6 "id": 213177,7 "name": "micro",8 "username": "xifanlover",9 "avatar_template": "/letter_avatar_proxy/v4/letter/x/45deac/{size}.png",10 "created_at": "2020-07-17T07:10:35.584Z",11 "cooked": "<p>hello everyone,I am using a arm development board.its MCU is i.mx6dl(cortex-A9 ARMV7 32).Now A QT project running on the board.I want my QT project Call the libtorch to load pytorch module.my question is:Can torch and libtorch be compiled on the ARM development board?<br>\nI search on the net,someone compiled the pytorch to raspberry pie or android.But no one can compiled the pytorch to other arm board.Can I need to compiled the libtorch to arm board too？<br>\nwho can help me？</p>",12 "post_number": 1,13 "post_type": 1,14 "posts_count": 4,15 "updated_at": "2020-07-17T07:19:09.370Z",16 "reply_count": 0,17 "reply_to_post_number": null,18 "quote_count": 0,19 "incoming_link_count": 540,20 "reads": 19,21 "readers_count": 18,22 "score": 2703.8,23 "yours": false,24 "topic_id": 89547,25 "topic_slug": "libtorch-can-be-used-on-the-arm-development-board",26 "display_username": "micro",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": 2,35 "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": 34433,48 "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/libtorch-can-be-used-on-the-arm-development-board/89547/1",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": 213185,64 "name": "micro",65 "username": "xifanlover",66 "avatar_template": "/letter_avatar_proxy/v4/letter/x/45deac/{size}.png",67 "created_at": "2020-07-17T07:42:36.062Z",68 "cooked": "<p>I really hope to cross compile libtorch in the ubantu system and transplant it to the development board。who can help me？</p>",69 "post_number": 2,70 "post_type": 1,71 "posts_count": 4,72 "updated_at": "2020-07-17T07:42:36.062Z",73 "reply_count": 1,74 "reply_to_post_number": null,75 "quote_count": 0,76 "incoming_link_count": 6,77 "reads": 18,78 "readers_count": 17,79 "score": 38.6,80 "yours": false,81 "topic_id": 89547,82 "topic_slug": "libtorch-can-be-used-on-the-arm-development-board",83 "display_username": "micro",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": null,99 "bookmarked": false,100 "actions_summary": [],101 "moderator": false,102 "admin": false,103 "staff": false,104 "user_id": 34433,105 "hidden": false,106 "trust_level": 1,107 "deleted_at": null,108 "user_deleted": false,109 "edit_reason": null,110 "can_view_edit_history": true,111 "wiki": false,112 "post_url": "/t/libtorch-can-be-used-on-the-arm-development-board/89547/2",113 "can_accept_answer": false,114 "can_unaccept_answer": false,115 "accepted_answer": false,116 "topic_accepted_answer": null117 },118 {119 "id": 213272,120 "name": "Thomas V",121 "username": "tom",122 "avatar_template": "/user_avatar/discuss.pytorch.org/tom/{size}/3162_2.png",123 "created_at": "2020-07-17T12:56:56.914Z",124 "cooked": "<p>You could use the Android build as inspiration.<br>\nThat said, you might also be able to use <a class=\"mention\" href=\"/u/leviviana\">@LeviViana</a> 's build for the Raspberry and take the libtorch included in PyTorch:</p><aside class=\"quote\" data-post=\"1\" data-topic=\"58580\">\n <div class=\"title\">\n <div class=\"quote-controls\"></div>\n <img loading=\"lazy\" alt=\"\" width=\"24\" height=\"24\" src=\"https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/leviviana/48/9548_2.png\" class=\"avatar\">\n <a href=\"https://discuss.pytorch.org/t/pytorch-1-3-wheels-for-raspberry-pi-python-3-7/58580\">PyTorch 1.3 wheels for Raspberry Pi (Python 3.7)</a> <a class=\"badge-category__wrapper \" href=\"/c/quantization/17\"><span data-category-id=\"17\" data-drop-close=\"true\" class=\"badge-category \" title=\"This category is for questions, discussion and issues related to PyTorch’s quantization feature.\"><span class=\"badge-category__name\">quantization</span></span></a>\n </div>\n <blockquote>\n I’ve made it available here: <a href=\"https://wintics-opensource.s3.eu-west-3.amazonaws.com/torch-1.3.0a0%2Bdeadc27-cp37-cp37m-linux_armv7l.whl\" rel=\"noopener nofollow ugc\">https://wintics-opensource.s3.eu-west-3.amazonaws.com/torch-1.3.0a0%2Bdeadc27-cp37-cp37m-linux_armv7l.whl</a>. \nHave fun !\n </blockquote>\n</aside>\n\n<p>Best regards</p>\n<p>Thomas</p>",125 "post_number": 3,126 "post_type": 1,127 "posts_count": 4,128 "updated_at": "2020-07-17T12:56:56.914Z",129 "reply_count": 1,130 "reply_to_post_number": 2,131 "quote_count": 0,132 "incoming_link_count": 12,133 "reads": 18,134 "readers_count": 17,135 "score": 68.6,136 "yours": false,137 "topic_id": 89547,138 "topic_slug": "libtorch-can-be-used-on-the-arm-development-board",139 "display_username": "Thomas V",140 "primary_group_name": null,141 "flair_name": null,142 "flair_url": null,143 "flair_bg_color": null,144 "flair_color": null,145 "flair_group_id": null,146 "badges_granted": [],147 "version": 1,148 "can_edit": false,149 "can_delete": false,150 "can_recover": false,151 "can_see_hidden_post": false,152 "can_wiki": false,153 "link_counts": [154 {155 "url": "https://discuss.pytorch.org/t/pytorch-1-3-wheels-for-raspberry-pi-python-3-7/58580",156 "internal": true,157 "reflection": false,158 "title": "PyTorch 1.3 wheels for Raspberry Pi (Python 3.7)",159 "clicks": 0160 }161 ],162 "read": true,163 "user_title": null,164 "reply_to_user": {165 "id": 34433,166 "username": "xifanlover",167 "name": "micro",168 "avatar_template": "/letter_avatar_proxy/v4/letter/x/45deac/{size}.png"169 },170 "bookmarked": false,171 "actions_summary": [],172 "moderator": false,173 "admin": false,174 "staff": false,175 "user_id": 616,176 "hidden": false,177 "trust_level": 2,178 "deleted_at": null,179 "user_deleted": false,180 "edit_reason": null,181 "can_view_edit_history": true,182 "wiki": false,183 "post_url": "/t/libtorch-can-be-used-on-the-arm-development-board/89547/3",184 "can_accept_answer": false,185 "can_unaccept_answer": false,186 "accepted_answer": false,187 "topic_accepted_answer": null188 },189 {190 "id": 213458,191 "name": "micro",192 "username": "xifanlover",193 "avatar_template": "/letter_avatar_proxy/v4/letter/x/45deac/{size}.png",194 "created_at": "2020-07-18T02:30:57.738Z",195 "cooked": "<p>thank you very mush.I will try.</p>",196 "post_number": 4,197 "post_type": 1,198 "posts_count": 4,199 "updated_at": "2020-07-18T02:30:57.738Z",200 "reply_count": 0,201 "reply_to_post_number": 3,202 "quote_count": 0,203 "incoming_link_count": 4,204 "reads": 18,205 "readers_count": 17,206 "score": 23.6,207 "yours": false,208 "topic_id": 89547,209 "topic_slug": "libtorch-can-be-used-on-the-arm-development-board",210 "display_username": "micro",211 "primary_group_name": null,212 "flair_name": null,213 "flair_url": null,214 "flair_bg_color": null,215 "flair_color": null,216 "flair_group_id": null,217 "badges_granted": [],218 "version": 1,219 "can_edit": false,220 "can_delete": false,221 "can_recover": false,222 "can_see_hidden_post": false,223 "can_wiki": false,224 "read": true,225 "user_title": null,226 "reply_to_user": {227 "id": 616,228 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{636 "id": 34433,637 "username": "xifanlover",638 "name": "micro",639 "avatar_template": "/letter_avatar_proxy/v4/letter/x/45deac/{size}.png"640 },641 "last_poster": {642 "id": 34433,643 "username": "xifanlover",644 "name": "micro",645 "avatar_template": "/letter_avatar_proxy/v4/letter/x/45deac/{size}.png"646 }647 },648 "bookmarks": []649 },650 {651 "post_stream": {652 "posts": [653 {654 "id": 211925,655 "name": "",656 "username": "mai202",657 "avatar_template": "/letter_avatar_proxy/v4/letter/m/278dde/{size}.png",658 "created_at": "2020-07-14T01:41:31.335Z",659 "cooked": "<p>Hello,<br>\nI took the resnet50 PyTorch model from torchvision and exported to ONNX. When I ran it using image-classifier on first 1000 images of imagenet data set, i am seeing almost 20% accuracy loss from the resnet50 caffe2 model (on same 1000 images). It makes me wonder if the options i am using for running pytorch model is not correct. I am using “-use-imagenet-normalization” “-compute-softmax” (pytorch model does not softmax in the end) and “-image-mode=0to1”. Does input to pytorch model gets normalized in the same way as caffe2 model?</p>\n<p>What can I check to debug this further?</p>",660 "post_number": 1,661 "post_type": 1,662 "posts_count": 5,663 "updated_at": "2020-07-14T01:41:31.335Z",664 "reply_count": 1,665 "reply_to_post_number": null,666 "quote_count": 0,667 "incoming_link_count": 151,668 "reads": 20,669 "readers_count": 19,670 "score": 759.0,671 "yours": false,672 "topic_id": 89074,673 "topic_slug": "resnet50-pytorch-model-accuracy-loss",674 "display_username": "",675 "primary_group_name": null,676 "flair_name": null,677 "flair_url": null,678 "flair_bg_color": null,679 "flair_color": null,680 "flair_group_id": null,681 "badges_granted": [],682 "version": 1,683 "can_edit": false,684 "can_delete": false,685 "can_recover": false,686 "can_see_hidden_post": false,687 "can_wiki": false,688 "read": true,689 "user_title": null,690 "bookmarked": false,691 "actions_summary": [],692 "moderator": false,693 "admin": false,694 "staff": false,695 "user_id": 34261,696 "hidden": false,697 "trust_level": 1,698 "deleted_at": null,699 "user_deleted": false,700 "edit_reason": null,701 "can_view_edit_history": true,702 "wiki": false,703 "post_url": "/t/resnet50-pytorch-model-accuracy-loss/89074/1",704 "can_accept_answer": false,705 "can_unaccept_answer": false,706 "accepted_answer": false,707 "topic_accepted_answer": null,708 "can_vote": false709 },710 {711 "id": 212514,712 "name": "",713 "username": "ptrblck",714 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",715 "created_at": "2020-07-15T09:32:36.692Z",716 "cooked": "<aside class=\"quote no-group\" data-username=\"mai202\" data-post=\"1\" data-topic=\"89074\">\n<div class=\"title\">\n<div class=\"quote-controls\"></div>\n<img loading=\"lazy\" alt=\"\" width=\"24\" height=\"24\" src=\"https://discuss.pytorch.org/letter_avatar_proxy/v4/letter/m/278dde/48.png\" class=\"avatar\"> mai202:</div>\n<blockquote>\n<p>Does input to pytorch model gets normalized in the same way as caffe2 model?</p>\n</blockquote>\n</aside>\n<p>Where do you have the caffe2 model from?</p>\n<p>As a debugging step I would recommend to pass an input with constant values to both models and compare the outputs (e.g. <code>torch.ones()</code>).<br>\nIf the outputs are equal, the issue is most likely created in the preprocessing of the data.</p>",717 "post_number": 2,718 "post_type": 1,719 "posts_count": 5,720 "updated_at": "2020-07-15T09:32:36.692Z",721 "reply_count": 0,722 "reply_to_post_number": null,723 "quote_count": 1,724 "incoming_link_count": 8,725 "reads": 18,726 "readers_count": 17,727 "score": 43.6,728 "yours": false,729 "topic_id": 89074,730 "topic_slug": "resnet50-pytorch-model-accuracy-loss",731 "display_username": "",732 "primary_group_name": null,733 "flair_name": null,734 "flair_url": null,735 "flair_bg_color": null,736 "flair_color": null,737 "flair_group_id": null,738 "badges_granted": [],739 "version": 1,740 "can_edit": false,741 "can_delete": false,742 "can_recover": false,743 "can_see_hidden_post": false,744 "can_wiki": false,745 "read": true,746 "user_title": "",747 "bookmarked": false,748 "actions_summary": [],749 "moderator": true,750 "admin": true,751 "staff": true,752 "user_id": 3534,753 "hidden": false,754 "trust_level": 2,755 "deleted_at": null,756 "user_deleted": false,757 "edit_reason": null,758 "can_view_edit_history": true,759 "wiki": false,760 "post_url": "/t/resnet50-pytorch-model-accuracy-loss/89074/2",761 "can_accept_answer": false,762 "can_unaccept_answer": false,763 "accepted_answer": false,764 "topic_accepted_answer": null765 },766 {767 "id": 213107,768 "name": "",769 "username": "mai202",770 "avatar_template": "/letter_avatar_proxy/v4/letter/m/278dde/{size}.png",771 "created_at": "2020-07-17T00:43:53.837Z",772 "cooked": "<p>I got caffe model from “<a href=\"http://fb-glow-assets.s3.amazonaws.com/models\" rel=\"nofollow noopener\">http://fb-glow-assets.s3.amazonaws.com/models</a>” which is the url in glow to download models.<br>\n<a href=\"https://github.com/pytorch/glow/blob/master/utils/download_datasets_and_models.py\" rel=\"nofollow noopener\">https://github.com/pytorch/glow/blob/master/utils/download_datasets_and_models.py</a></p>\n<p>I have also tried models from onnx zoo, <a href=\"https://github.com/onnx/models/tree/master/vision/classification/resnet/model\" rel=\"nofollow noopener\">https://github.com/onnx/models/tree/master/vision/classification/resnet/model</a><br>\n“resnet50-v2-7.onnx” is showing same accuracy loss.</p>\n<p>For same input, models does show different outputs. I have not tried with torch.ones but for same image.</p>",773 "post_number": 3,774 "post_type": 1,775 "posts_count": 5,776 "updated_at": "2020-07-17T00:44:25.009Z",777 "reply_count": 1,778 "reply_to_post_number": null,779 "quote_count": 0,780 "incoming_link_count": 9,781 "reads": 17,782 "readers_count": 16,783 "score": 53.4,784 "yours": false,785 "topic_id": 89074,786 "topic_slug": "resnet50-pytorch-model-accuracy-loss",787 "display_username": "",788 "primary_group_name": null,789 "flair_name": null,790 "flair_url": null,791 "flair_bg_color": null,792 "flair_color": null,793 "flair_group_id": null,794 "badges_granted": [],795 "version": 1,796 "can_edit": false,797 "can_delete": false,798 "can_recover": false,799 "can_see_hidden_post": false,800 "can_wiki": false,801 "link_counts": [802 {803 "url": "https://github.com/onnx/models/tree/master/vision/classification/resnet/model",804 "internal": false,805 "reflection": false,806 "title": "models/vision/classification/resnet/model at master · onnx/models · GitHub",807 "clicks": 11808 },809 {810 "url": "http://fb-glow-assets.s3.amazonaws.com/models",811 "internal": false,812 "reflection": false,813 "clicks": 5814 },815 {816 "url": "https://github.com/pytorch/glow/blob/master/utils/download_datasets_and_models.py",817 "internal": false,818 "reflection": false,819 "title": "glow/download_datasets_and_models.py at master · pytorch/glow · GitHub",820 "clicks": 4821 }822 ],823 "read": true,824 "user_title": null,825 "bookmarked": false,826 "actions_summary": [],827 "moderator": false,828 "admin": false,829 "staff": false,830 "user_id": 34261,831 "hidden": false,832 "trust_level": 1,833 "deleted_at": null,834 "user_deleted": false,835 "edit_reason": null,836 "can_view_edit_history": true,837 "wiki": false,838 "post_url": "/t/resnet50-pytorch-model-accuracy-loss/89074/3",839 "can_accept_answer": false,840 "can_unaccept_answer": false,841 "accepted_answer": false,842 "topic_accepted_answer": null843 },844 {845 "id": 213246,846 "name": "",847 "username": "ptrblck",848 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",849 "created_at": "2020-07-17T11:29:57.913Z",850 "cooked": "<p>Thanks for the update. Unfortunately, I cannot be of much help, as I don’t know how these models (in Glow and ONNX) were created.<br>\nJust by reading through the ONNX link, it seems that the preprocessing is <a href=\"https://github.com/onnx/models/tree/master/vision/classification/resnet#preprocessing\">identical</a> to the <code>torchvision.models</code>.</p>",851 "post_number": 4,852 "post_type": 1,853 "posts_count": 5,854 "updated_at": "2020-07-17T11:29:57.913Z",855 "reply_count": 0,856 "reply_to_post_number": 3,857 "quote_count": 0,858 "incoming_link_count": 0,859 "reads": 15,860 "readers_count": 14,861 "score": 3.0,862 "yours": false,863 "topic_id": 89074,864 "topic_slug": "resnet50-pytorch-model-accuracy-loss",865 "display_username": "",866 "primary_group_name": null,867 "flair_name": null,868 "flair_url": null,869 "flair_bg_color": null,870 "flair_color": null,871 "flair_group_id": null,872 "badges_granted": [],873 "version": 1,874 "can_edit": false,875 "can_delete": false,876 "can_recover": false,877 "can_see_hidden_post": false,878 "can_wiki": false,879 "link_counts": [880 {881 "url": "https://github.com/onnx/models/tree/master/vision/classification/resnet#preprocessing",882 "internal": false,883 "reflection": false,884 "title": "models/vision/classification/resnet at master · onnx/models · GitHub",885 "clicks": 2886 }887 ],888 "read": true,889 "user_title": "",890 "reply_to_user": {891 "id": 34261,892 "username": "mai202",893 "name": "",894 "avatar_template": "/letter_avatar_proxy/v4/letter/m/278dde/{size}.png"895 },896 "bookmarked": false,897 "actions_summary": [],898 "moderator": true,899 "admin": true,900 "staff": true,901 "user_id": 3534,902 "hidden": false,903 "trust_level": 2,904 "deleted_at": null,905 "user_deleted": false,906 "edit_reason": null,907 "can_view_edit_history": true,908 "wiki": false,909 "post_url": "/t/resnet50-pytorch-model-accuracy-loss/89074/4",910 "can_accept_answer": false,911 "can_unaccept_answer": false,912 "accepted_answer": false,913 "topic_accepted_answer": null914 },915 {916 "id": 213447,917 "name": "",918 "username": "mai202",919 "avatar_template": "/letter_avatar_proxy/v4/letter/m/278dde/{size}.png",920 "created_at": "2020-07-18T00:03:03.617Z",921 "cooked": "<p>Thanks for getting back to me.</p>",922 "post_number": 5,923 "post_type": 1,924 "posts_count": 5,925 "updated_at": "2020-07-18T01:08:50.251Z",926 "reply_count": 0,927 "reply_to_post_number": null,928 "quote_count": 0,929 "incoming_link_count": 1,930 "reads": 12,931 "readers_count": 11,932 "score": 7.4,933 "yours": false,934 "topic_id": 89074,935 "topic_slug": "resnet50-pytorch-model-accuracy-loss",936 "display_username": "",937 "primary_group_name": null,938 "flair_name": null,939 "flair_url": null,940 "flair_bg_color": null,941 "flair_color": null,942 "flair_group_id": null,943 "badges_granted": [],944 "version": 2,945 "can_edit": false,946 "can_delete": false,947 "can_recover": false,948 "can_see_hidden_post": false,949 "can_wiki": false,950 "read": 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