CoolFace
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Anurag1734/cuda-error-resolution-analysis

sourceHugging Faceupdated 2mo agoView on Hugging Face
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"pytorch.org",534          "root_domain": "pytorch.org"535        },536        {537          "url": "https://pytorch.org/docs/1.8.1/search.html?q=gaussiannllloss&check_keywords=yes&area=default",538          "title": "Search — PyTorch 1.8.1 documentation",539          "internal": false,540          "attachment": false,541          "reflection": false,542          "clicks": 49,543          "user_id": 211,544          "domain": "pytorch.org",545          "root_domain": "pytorch.org"546        }547      ]548    },549    "bookmarks": []550  },551  {552    "post_stream": {553      "posts": [554        {555          "id": 284049,556          "name": "Xuye Liu",557          "username": "Xuye_Liu",558          "avatar_template": "/user_avatar/discuss.pytorch.org/xuye_liu/{size}/38355_2.png",559          "created_at": "2021-05-16T17:44:20.257Z",560          "cooked": "<h2>\n<a name=\"to-reproduce-1\" class=\"anchor\" href=\"#to-reproduce-1\"></a>To Reproduce</h2>\n<p>Steps to reproduce the behavior:</p>\n<ol>\n<li>I create a specific model with pytorch when I use loss.backward, it has bugs. But it works when I use cuda gpu. When I try to run my model with cpu, it appears this bug.</li>\n<li>I already try to reinstall pytorch version like 1.5.0, 1.6.0, 1.8.0. But it all not works</li>\n</ol>\n<p>code:</p>\n<pre><code class=\"lang-auto\">optimizer = torch.optim.Adamax(net.parameters(), lr = 2e-3)\nloss_func = torch.nn.CrossEntropyLoss()\noutput = net([train1[0], train1[1], train1[2], train1[3]])\nloss = loss_func(output, train2)\ntotal_correct += get_accuracy(output, train2)\nml_loss.update(loss, batch_size*30)\nacc.update(total_correct, batch_size * 30)\noptimizer.zero_grad()\n# backward propogation\nloss.backward()\n# weight optimizer\noptimizer.step()\n</code></pre>\n<p>bug:</p>\n<pre><code class=\"lang-auto\">    loss.backward()\n  File \"/Users/leo/.pyenv/versions/3.7.7/lib/python3.7/site-packages/torch/tensor.py\", line 198, in backward\n    torch.autograd.backward(self, gradient, retain_graph, create_graph)\n  File \"/Users/leo/.pyenv/versions/3.7.7/lib/python3.7/site-packages/torch/autograd/__init__.py\", line 100, in backward\n    allow_unreachable=True)  # allow_unreachable flag\nRuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [300, 300, 300]], which is output 0 of SelectBackward, is at version 16; expected version 15 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).\n</code></pre>\n<h2>\n<a name=\"expected-behavior-2\" class=\"anchor\" href=\"#expected-behavior-2\"></a>Expected behavior</h2>\n<p>Succeed to running my model script.</p>\n<h2>\n<a name=\"environment-3\" class=\"anchor\" href=\"#environment-3\"></a>Environment</h2>\n<ul>\n<li>PyTorch Version 1.5.0:</li>\n<li>OS (e.g., Linux) Mac:</li>\n<li>How you installed PyTorch (<code>conda</code>, <code>pip</code>, source):pip install torch==1.5.0</li>\n<li>Build command you used (if compiling from source):</li>\n<li>Python version: 3.7.7</li>\n<li>CUDA/cuDNN version:cpu</li>\n<li>GPU models and configuration:</li>\n<li>Any other relevant information:</li>\n</ul>",561          "post_number": 1,562          "post_type": 1,563          "posts_count": 2,564          "updated_at": "2021-05-16T17:44:20.257Z",565          "reply_count": 0,566          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have two models then how could I save the models parameter?<br>\n<code>torch.save(model1.state_dict(), 'model1_parameter_save_path') torch.save(model2.state_dict(), 'model2_parameter_save_path')</code><br>\nDo I understand it right??</p>",1048          "post_number": 1,1049          "post_type": 1,1050          "posts_count": 2,1051          "updated_at": "2021-05-16T16:10:47.765Z",1052          "reply_count": 0,1053          "reply_to_post_number": null,1054          "quote_count": 0,1055          "incoming_link_count": 9,1056          "reads": 10,1057          "readers_count": 9,1058          "score": 47.0,1059          "yours": false,1060          "topic_id": 121424,1061          "topic_slug": "pytorch-model-save",1062          "display_username": "",1063          "primary_group_name": null,1064          "flair_name": null,1065          "flair_url": null,1066          "flair_bg_color": null,1067          "flair_color": null,1068          "flair_group_id": null,1069          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More info on the other ways to do this <a href=\"https://pytorch.org/tutorials/beginner/saving_loading_models.html\" rel=\"noopener nofollow ugc\">here</a></p>",1105          "post_number": 2,1106          "post_type": 1,1107          "posts_count": 2,1108          "updated_at": "2021-05-16T17:43:24.120Z",1109          "reply_count": 0,1110          "reply_to_post_number": null,1111          "quote_count": 0,1112          "incoming_link_count": 2,1113          "reads": 10,1114          "readers_count": 9,1115          "score": 27.0,1116          "yours": false,1117          "topic_id": 121424,1118          "topic_slug": "pytorch-model-save",1119          "display_username": "Hmrishav Bandyopadhyay",1120          "primary_group_name": null,1121          "flair_name": null,1122          "flair_url": null,1123          "flair_bg_color": null,1124          "flair_color": null,1125          "flair_group_id": null,1126          "badges_granted": [],1127          "version": 1,1128          "can_edit": false,1129          "can_delete": false,1130          "can_recover": false,1131          "can_see_hidden_post": false,1132          "can_wiki": false,1133          "link_counts": [1134            {1135              "url": "https://pytorch.org/tutorials/beginner/saving_loading_models.html",1136              "internal": false,1137              "reflection": false,1138              "title": "Saving and Loading Models — PyTorch Tutorials 1.8.1+cu102 documentation",1139              "clicks": 31140            }1141          ],1142          "read": true,1143          "user_title": null,1144          "bookmarked": false,1145          "actions_summary": [1146            {1147              "id": 2,1148              "count": 11149            }1150          ],1151          "moderator": false,1152          "admin": false,1153          "staff": false,1154          "user_id": 31444,1155          "hidden": false,1156          "trust_level": 2,1157          "deleted_at": null,1158          "user_deleted": false,1159          "edit_reason": null,1160          "can_view_edit_history": true,1161          "wiki": false,1162          "post_url": "/t/pytorch-model-save/121424/2",1163          "can_accept_answer": false,1164          "can_unaccept_answer": false,1165          "accepted_answer": false,1166          "topic_accepted_answer": null1167        }1168      ],1169      "stream": [1170        284016,1171        2840451172      ]1173    },1174    "timeline_lookup": [1175      [1176        1,1177        16231178      ]1179    ],1180    "suggested_topics": [1181      {1182        "fancy_title": "Convert Conv3d to Conv2d but outputs different",1183        "id": 212246,1184        "title": "Convert Conv3d to Conv2d but outputs different",1185        "slug": "convert-conv3d-to-conv2d-but-outputs-different",1186        "posts_count": 2,1187        "reply_count": 0,1188        "highest_post_number": 2,1189        "image_url": null,1190        "created_at": "2024-10-29T06:46:01.486Z",1191        "last_posted_at": "2024-10-29T19:39:20.194Z",1192        "bumped": true,1193        "bumped_at": "2024-10-29T19:39:20.194Z",1194        "archetype": "regular",1195        "unseen": false,1196        "pinned": false,1197        "unpinned": null,1198        "visible": true,1199        "closed": false,1200        "archived": false,

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