Anurag1734/cuda-error-resolution-analysis
07
1[2 {3 "post_stream": {4 "posts": [5 {6 "id": 293419,7 "name": "",8 "username": "GMSL",9 "avatar_template": "/letter_avatar_proxy/v4/letter/g/e47c2d/{size}.png",10 "created_at": "2021-07-01T13:04:18.781Z",11 "cooked": "<p>I’ve tried the <a href=\"https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html\" rel=\"noopener nofollow ugc\">quickstart tutorial</a> on two machines - one without a CUDA-compatible GPU running PyTorch 1.9.0-CPU, and the other with CUDA-compatible GPU running PyTorch 1.9.0+cu111. For the first one (with CPU), the tutorial works fine, however with the second one (with CUDA) it fails in the first section.</p>\n<p>I copied and pasted the code in directly from the tutorial:</p>\n<pre><code class=\"lang-auto\">import torch\nfrom torch import nn\nfrom torch.utils.data import DataLoader\nfrom torchvision import datasets\nfrom torchvision.transforms import ToTensor, Lambda, Compose\nimport matplotlib.pyplot as plt\n\n# Download training data from open datasets.\ntraining_data = datasets.FashionMNIST(\n root=\"data\",\n train=True,\n download=True,\n transform=ToTensor(),\n)\n\n# Download test data from open datasets.\ntest_data = datasets.FashionMNIST(\n root=\"data\",\n train=False,\n download=True,\n transform=ToTensor(),\n)\n\nbatch_size = 64\n\n# Create data loaders.\ntrain_dataloader = DataLoader(training_data, batch_size=batch_size)\ntest_dataloader = DataLoader(test_data, batch_size=batch_size)\n\nfor X, y in test_dataloader:\n print(\"Shape of X [N, C, H, W]: \", X.shape)\n print(\"Shape of y: \", y.shape, y.dtype)\n break\n</code></pre>\n<p>Running this gives me the error:</p>\n<pre><code class=\"lang-auto\">TypeError: __array__() takes 1 positional argument but 2 were given\n</code></pre>\n<p>It’s the for loop that causes the error, it runs fine if that for loop is commented out. Looking on this forum and google, it seems a common reason is ommitting the <strong>init</strong> method from a function, but obviously I haven’t defined any functions yet in this tutorial.</p>\n<p>Thanks for any help.</p>",12 "post_number": 1,13 "post_type": 1,14 "posts_count": 5,15 "updated_at": "2021-07-01T13:04:18.781Z",16 "reply_count": 0,17 "reply_to_post_number": null,18 "quote_count": 0,19 "incoming_link_count": 1435,20 "reads": 25,21 "readers_count": 24,22 "score": 7180.0,23 "yours": false,24 "topic_id": 125550,25 "topic_slug": "quickstart-tutorial-array-takes-1-positional-argument-but-2-were-given",26 "display_username": "",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/tutorials/beginner/basics/quickstart_tutorial.html",43 "internal": false,44 "reflection": false,45 "title": "Quickstart — PyTorch Tutorials 1.9.0+cu102 documentation",46 "clicks": 647 }48 ],49 "read": true,50 "user_title": null,51 "bookmarked": false,52 "actions_summary": [],53 "moderator": false,54 "admin": false,55 "staff": false,56 "user_id": 46786,57 "hidden": false,58 "trust_level": 0,59 "deleted_at": null,60 "user_deleted": false,61 "edit_reason": null,62 "can_view_edit_history": true,63 "wiki": false,64 "post_url": "/t/quickstart-tutorial-array-takes-1-positional-argument-but-2-were-given/125550/1",65 "can_accept_answer": false,66 "can_unaccept_answer": false,67 "accepted_answer": false,68 "topic_accepted_answer": true,69 "can_vote": false70 },71 {72 "id": 293518,73 "name": "",74 "username": "ptrblck",75 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",76 "created_at": "2021-07-02T02:20:30.097Z",77 "cooked": "<p>The issue might be related to <code>PIL==8.3.0</code> as described <a href=\"https://github.com/pytorch/pytorch/issues/61125\">here</a> and <a class=\"mention\" href=\"/u/tom\">@tom</a> already provided a fix <a href=\"https://github.com/python-pillow/Pillow/pull/5572\">here</a>.<br>\nIf you are also using <code>PIL==8.3.0</code>, downgrade it to <code>8.2.0</code> for now. If that’s not the case, please let us know and we’ll take another look into your issue.</p>",78 "post_number": 2,79 "post_type": 1,80 "posts_count": 5,81 "updated_at": "2021-07-02T11:19:00.213Z",82 "reply_count": 1,83 "reply_to_post_number": null,84 "quote_count": 0,85 "incoming_link_count": 52,86 "reads": 25,87 "readers_count": 24,88 "score": 315.0,89 "yours": false,90 "topic_id": 125550,91 "topic_slug": "quickstart-tutorial-array-takes-1-positional-argument-but-2-were-given",92 "display_username": "",93 "primary_group_name": null,94 "flair_name": null,95 "flair_url": null,96 "flair_bg_color": null,97 "flair_color": null,98 "flair_group_id": null,99 "badges_granted": [],100 "version": 1,101 "can_edit": false,102 "can_delete": false,103 "can_recover": false,104 "can_see_hidden_post": false,105 "can_wiki": false,106 "link_counts": [107 {108 "url": "https://github.com/python-pillow/Pillow/pull/5572",109 "internal": false,110 "reflection": false,111 "clicks": 146112 },113 {114 "url": "https://github.com/pytorch/pytorch/issues/61125",115 "internal": false,116 "reflection": false,117 "title": "[Bug] TypeError: __array__() takes 1 positional argument but 2 were given · Issue #61125 · pytorch/pytorch · GitHub",118 "clicks": 115119 },120 {121 "url": "https://discuss.pytorch.org/t/pytorch-dataloader-output-is-not-iterable/125820/5",122 "internal": true,123 "reflection": true,124 "title": "Pytorch DataLoader output is not iterable",125 "clicks": 3126 },127 {128 "url": "https://discuss.pytorch.org/t/torchvision-transforms-functional-to-tensor-typeerror-array-takes-1-positional-argument-but-2-were-given-error/125630/2",129 "internal": true,130 "reflection": true,131 "title": "Torchvision.transforms.functional.to_tensor: TypeError: __array__() takes 1 positional argument but 2 were given error:",132 "clicks": 2133 },134 {135 "url": "https://discuss.pytorch.org/t/gaussianblur-transform-causing-error/125652/2",136 "internal": true,137 "reflection": true,138 "title": "GaussianBlur transform causing error",139 "clicks": 1140 }141 ],142 "read": true,143 "user_title": "",144 "bookmarked": false,145 "actions_summary": [146 {147 "id": 2,148 "count": 3149 }150 ],151 "moderator": true,152 "admin": true,153 "staff": true,154 "user_id": 3534,155 "hidden": false,156 "trust_level": 2,157 "deleted_at": null,158 "user_deleted": false,159 "edit_reason": null,160 "can_view_edit_history": true,161 "wiki": false,162 "post_url": "/t/quickstart-tutorial-array-takes-1-positional-argument-but-2-were-given/125550/2",163 "can_accept_answer": false,164 "can_unaccept_answer": false,165 "accepted_answer": true,166 "topic_accepted_answer": true167 },168 {169 "id": 293615,170 "name": "Aimlessboy Yuan",171 "username": "Aimlessboy_Yuan",172 "avatar_template": "/user_avatar/discuss.pytorch.org/aimlessboy_yuan/{size}/29916_2.png",173 "created_at": "2021-07-02T11:06:22.201Z",174 "cooked": "<p>Thanks，this solution does work！ <img src=\"https://discuss.pytorch.org/images/emoji/apple/+1.png?v=9\" title=\":+1:\" class=\"emoji\" alt=\":+1:\"> <img src=\"https://discuss.pytorch.org/images/emoji/apple/+1.png?v=9\" title=\":+1:\" class=\"emoji\" alt=\":+1:\"> <img src=\"https://discuss.pytorch.org/images/emoji/apple/+1.png?v=9\" title=\":+1:\" class=\"emoji\" alt=\":+1:\"></p>",175 "post_number": 3,176 "post_type": 1,177 "posts_count": 5,178 "updated_at": "2021-07-02T11:06:22.201Z",179 "reply_count": 0,180 "reply_to_post_number": 2,181 "quote_count": 0,182 "incoming_link_count": 5,183 "reads": 24,184 "readers_count": 23,185 "score": 29.8,186 "yours": false,187 "topic_id": 125550,188 "topic_slug": "quickstart-tutorial-array-takes-1-positional-argument-but-2-were-given",189 "display_username": "Aimlessboy Yuan",190 "primary_group_name": null,191 "flair_name": null,192 "flair_url": null,193 "flair_bg_color": null,194 "flair_color": null,195 "flair_group_id": null,196 "badges_granted": [],197 "version": 1,198 "can_edit": false,199 "can_delete": false,200 "can_recover": false,201 "can_see_hidden_post": false,202 "can_wiki": false,203 "read": true,204 "user_title": null,205 "reply_to_user": {206 "id": 3534,207 "username": "ptrblck",208 "name": "",209 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png"210 },211 "bookmarked": false,212 "actions_summary": [],213 "moderator": false,214 "admin": false,215 "staff": false,216 "user_id": 46816,217 "hidden": false,218 "trust_level": 1,219 "deleted_at": null,220 "user_deleted": false,221 "edit_reason": null,222 "can_view_edit_history": true,223 "wiki": false,224 "post_url": "/t/quickstart-tutorial-array-takes-1-positional-argument-but-2-were-given/125550/3",225 "can_accept_answer": false,226 "can_unaccept_answer": false,227 "accepted_answer": false,228 "topic_accepted_answer": true229 },230 {231 "id": 293616,232 "name": "",233 "username": "GMSL",234 "avatar_template": "/letter_avatar_proxy/v4/letter/g/e47c2d/{size}.png",235 "created_at": "2021-07-02T11:18:56.001Z",236 "cooked": "<p>This worked thank you. Just to confirm, it was <code>pillow</code> that I had to downgrade to 8.2.0, which is a fork of <code>PIL</code>.</p>",237 "post_number": 4,238 "post_type": 1,239 "posts_count": 5,240 "updated_at": "2021-07-02T11:18:56.001Z",241 "reply_count": 0,242 "reply_to_post_number": null,243 "quote_count": 0,244 "incoming_link_count": 7,245 "reads": 23,246 "readers_count": 22,247 "score": 39.6,248 "yours": false,249 "topic_id": 125550,250 "topic_slug": "quickstart-tutorial-array-takes-1-positional-argument-but-2-were-given",251 "display_username": "",252 "primary_group_name": null,253 "flair_name": null,254 "flair_url": null,255 "flair_bg_color": null,256 "flair_color": null,257 "flair_group_id": null,258 "badges_granted": [],259 "version": 1,260 "can_edit": false,261 "can_delete": false,262 "can_recover": false,263 "can_see_hidden_post": false,264 "can_wiki": false,265 "read": true,266 "user_title": null,267 "bookmarked": false,268 "actions_summary": [],269 "moderator": false,270 "admin": false,271 "staff": false,272 "user_id": 46786,273 "hidden": false,274 "trust_level": 0,275 "deleted_at": null,276 "user_deleted": false,277 "edit_reason": null,278 "can_view_edit_history": true,279 "wiki": false,280 "post_url": "/t/quickstart-tutorial-array-takes-1-positional-argument-but-2-were-given/125550/4",281 "can_accept_answer": false,282 "can_unaccept_answer": false,283 "accepted_answer": false,284 "topic_accepted_answer": true285 },286 {287 "id": 311844,288 "name": "HackerCop",289 "username": "HackerCop",290 "avatar_template": "/user_avatar/discuss.pytorch.org/hackercop/{size}/43029_2.png",291 "created_at": "2021-10-15T15:31:53.883Z",292 "cooked": "<p>This worked thanks pip uninstall pillow and pip install pillow==8.2.0 solved the problem</p>",293 "post_number": 5,294 "post_type": 1,295 "posts_count": 5,296 "updated_at": "2021-10-15T15:31:53.883Z",297 "reply_count": 0,298 "reply_to_post_number": null,299 "quote_count": 0,300 "incoming_link_count": 3,301 "reads": 10,302 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Still working through a small runtime issue, but the full build process is documented here on GitHub: [https://github.com/DMorford/TorchinDesiree]",606 "id": 221817,607 "title": "I successfully built PyTorch from source on Windows 11 using CUDA 12.9 for the RTX 5070. 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If that’s not the case, please let us know and we’ll take another look into your issue."720 },721 "can_vote": false,722 "vote_count": 0,723 "user_voted": false,724 "discourse_zendesk_plugin_zendesk_id": null,725 "discourse_zendesk_plugin_zendesk_url": "https://your-url.zendesk.com/agent/tickets/",726 "details": {727 "can_edit": false,728 "notification_level": 1,729 "participants": [730 {731 "id": 46786,732 "username": "GMSL",733 "name": "",734 "avatar_template": "/letter_avatar_proxy/v4/letter/g/e47c2d/{size}.png",735 "post_count": 2,736 "primary_group_name": null,737 "flair_name": null,738 "flair_url": null,739 "flair_color": null,740 "flair_bg_color": null,741 "flair_group_id": null,742 "trust_level": 0743 },744 {745 "id": 3534,746 "username": "ptrblck",747 "name": "",748 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",749 "post_count": 1,750 "primary_group_name": null,751 "flair_name": null,752 "flair_url": null,753 "flair_color": null,754 "flair_bg_color": null,755 "flair_group_id": null,756 "admin": true,757 "moderator": true,758 "trust_level": 2759 },760 {761 "id": 46816,762 "username": "Aimlessboy_Yuan",763 "name": "Aimlessboy Yuan",764 "avatar_template": "/user_avatar/discuss.pytorch.org/aimlessboy_yuan/{size}/29916_2.png",765 "post_count": 1,766 "primary_group_name": null,767 "flair_name": null,768 "flair_url": null,769 "flair_color": null,770 "flair_bg_color": null,771 "flair_group_id": null,772 "trust_level": 1773 },774 {775 "id": 49839,776 "username": "HackerCop",777 "name": "HackerCop",778 "avatar_template": "/user_avatar/discuss.pytorch.org/hackercop/{size}/43029_2.png",779 "post_count": 1,780 "primary_group_name": null,781 "flair_name": null,782 "flair_url": null,783 "flair_color": null,784 "flair_bg_color": null,785 "flair_group_id": null,786 "trust_level": 1787 }788 ],789 "created_by": {790 "id": 46786,791 "username": "GMSL",792 "name": "",793 "avatar_template": "/letter_avatar_proxy/v4/letter/g/e47c2d/{size}.png"794 },795 "last_poster": {796 "id": 49839,797 "username": "HackerCop",798 "name": "HackerCop",799 "avatar_template": "/user_avatar/discuss.pytorch.org/hackercop/{size}/43029_2.png"800 },801 "links": [802 {803 "url": "https://github.com/python-pillow/Pillow/pull/5572",804 "title": null,805 "internal": false,806 "attachment": false,807 "reflection": false,808 "clicks": 146,809 "user_id": 3534,810 "domain": "github.com",811 "root_domain": "github.com"812 },813 {814 "url": "https://github.com/pytorch/pytorch/issues/61125",815 "title": "[Bug] TypeError: __array__() takes 1 positional argument but 2 were given · Issue #61125 · pytorch/pytorch · GitHub",816 "internal": false,817 "attachment": false,818 "reflection": false,819 "clicks": 115,820 "user_id": 3534,821 "domain": "github.com",822 "root_domain": "github.com"823 },824 {825 "url": "https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html",826 "title": "Quickstart — PyTorch Tutorials 1.9.0+cu102 documentation",827 "internal": false,828 "attachment": false,829 "reflection": false,830 "clicks": 6,831 "user_id": 46786,832 "domain": "pytorch.org",833 "root_domain": "pytorch.org"834 },835 {836 "url": "https://discuss.pytorch.org/t/pytorch-dataloader-output-is-not-iterable/125820/5",837 "title": "Pytorch DataLoader output is not iterable",838 "internal": true,839 "attachment": false,840 "reflection": true,841 "clicks": 3,842 "user_id": 3534,843 "domain": "discuss.pytorch.org",844 "root_domain": "pytorch.org"845 },846 {847 "url": "https://discuss.pytorch.org/t/torchvision-transforms-functional-to-tensor-typeerror-array-takes-1-positional-argument-but-2-were-given-error/125630/2",848 "title": "Torchvision.transforms.functional.to_tensor: TypeError: __array__() takes 1 positional argument but 2 were given error:",849 "internal": true,850 "attachment": false,851 "reflection": true,852 "clicks": 2,853 "user_id": 3534,854 "domain": "discuss.pytorch.org",855 "root_domain": "pytorch.org"856 },857 {858 "url": "https://discuss.pytorch.org/t/gaussianblur-transform-causing-error/125652/2",859 "title": "GaussianBlur transform causing error",860 "internal": true,861 "attachment": false,862 "reflection": true,863 "clicks": 1,864 "user_id": 3534,865 "domain": "discuss.pytorch.org",866 "root_domain": "pytorch.org"867 }868 ]869 },870 "bookmarks": []871 },872 {873 "post_stream": {874 "posts": [875 {876 "id": 311825,877 "name": "Anders",878 "username": "Anders_G",879 "avatar_template": "/user_avatar/discuss.pytorch.org/anders_g/{size}/44783_2.png",880 "created_at": "2021-10-15T12:55:52.968Z",881 "cooked": "<p>Is it possible to take of over the storage of the data used in the back propagation? For instance if I have little memory on the GPU and want to store it on CPU RAM and then move it back when it is needed in during back propagation.</p>",882 "post_number": 1,883 "post_type": 1,884 "posts_count": 3,885 "updated_at": "2021-10-15T12:55:52.968Z",886 "reply_count": 0,887 "reply_to_post_number": null,888 "quote_count": 0,889 "incoming_link_count": 17,890 "reads": 6,891 "readers_count": 5,892 "score": 86.2,893 "yours": false,894 "topic_id": 134312,895 "topic_slug": "is-it-possible-to-hijack-the-storage-of-data-needed-in-backward-pass",896 "display_username": "Anders",897 "primary_group_name": null,898 "flair_name": null,899 "flair_url": null,900 "flair_bg_color": null,901 "flair_color": null,902 "flair_group_id": null,903 "badges_granted": [],904 "version": 1,905 "can_edit": false,906 "can_delete": false,907 "can_recover": false,908 "can_see_hidden_post": false,909 "can_wiki": false,910 "read": true,911 "user_title": null,912 "bookmarked": false,913 "actions_summary": [],914 "moderator": false,915 "admin": false,916 "staff": false,917 "user_id": 24307,918 "hidden": false,919 "trust_level": 1,920 "deleted_at": null,921 "user_deleted": false,922 "edit_reason": null,923 "can_view_edit_history": true,924 "wiki": false,925 "post_url": "/t/is-it-possible-to-hijack-the-storage-of-data-needed-in-backward-pass/134312/1",926 "can_accept_answer": false,927 "can_unaccept_answer": false,928 "accepted_answer": false,929 "topic_accepted_answer": null,930 "can_vote": false931 },932 {933 "id": 311831,934 "name": "Alban D",935 "username": "albanD",936 "avatar_template": "/user_avatar/discuss.pytorch.org/alband/{size}/215_2.png",937 "created_at": "2021-10-15T13:44:18.019Z",938 "cooked": "<p>Hi,</p>\n<p>If you’re using nightly or in the upcoming 1.10, you will be able to register such hooks directly: <a href=\"https://pytorch.org/docs/master/notes/autograd.html#hooks-for-saved-tensors\" class=\"inline-onebox\">Autograd mechanics — PyTorch master documentation</a></p>\n<p>And if you just want to move everything from GPU to CPU, we have a builtin here: <a href=\"https://pytorch.org/docs/master/autograd.html?highlight=cpu#torch.autograd.graph.save_on_cpu\" class=\"inline-onebox\">Automatic differentiation package - torch.autograd — PyTorch master documentation</a></p>",939 "post_number": 2,940 "post_type": 1,941 "posts_count": 3,942 "updated_at": "2021-10-15T13:44:18.019Z",943 "reply_count": 1,944 "reply_to_post_number": null,945 "quote_count": 0,946 "incoming_link_count": 0,947 "reads": 6,948 "readers_count": 5,949 "score": 21.2,950 "yours": false,951 "topic_id": 134312,952 "topic_slug": "is-it-possible-to-hijack-the-storage-of-data-needed-in-backward-pass",953 "display_username": "Alban D",954 "primary_group_name": null,955 "flair_name": null,956 "flair_url": null,957 "flair_bg_color": null,958 "flair_color": null,959 "flair_group_id": null,960 "badges_granted": [],961 "version": 1,962 "can_edit": false,963 "can_delete": false,964 "can_recover": false,965 "can_see_hidden_post": false,966 "can_wiki": false,967 "link_counts": [968 {969 "url": "https://pytorch.org/docs/master/notes/autograd.html#hooks-for-saved-tensors",970 "internal": false,971 "reflection": false,972 "title": "Autograd mechanics — PyTorch master documentation",973 "clicks": 4974 },975 {976 "url": "https://pytorch.org/docs/master/autograd.html?highlight=cpu#torch.autograd.graph.save_on_cpu",977 "internal": false,978 "reflection": false,979 "title": "Automatic differentiation package - 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