Anurag1734/cuda-error-resolution-analysis
07
1[2 {3 "post_stream": {4 "posts": [5 {6 "id": 465621,7 "name": "Kirn anat",8 "username": "Kirn_anat",9 "avatar_template": "/user_avatar/discuss.pytorch.org/kirn_anat/{size}/75673_2.png",10 "created_at": "2025-02-15T16:46:16.548Z",11 "cooked": "<p>Hello guys,</p>\n<p>I’m pulling my hair out trying to get easyocr working with Python 3.13 on Windows 11. I keep getting the dreaded <code>ModuleNotFoundError: No module named 'torch.backends'</code> error, even though everything <em>seems</em> to be installed correctly. I’ve spent days on this, and I’m at a complete loss.</p>\n<p><strong>The Core Problem:</strong></p>\n<p>I’m trying to use easyocr, which depends on PyTorch (torch). My script fails with the <code>ModuleNotFoundError</code>, meaning easyocr can’t find the <code>torch.backends</code> module. This happens <em>despite</em> pip showing all required packages (easyocr, torch, torchvision) as installed. The problem seems specific to my main Python 3.13 installation.</p>\n<p><strong>What I’ve Tried (A LOT):</strong></p>\n<p>I’ve tried a ton of things, so I’ll try to keep this organized:</p>\n<ol>\n<li>\n<p><strong>Initial Tesseract Issues (Abandoned):</strong> I originally tried pytesseract, but Tesseract was a nightmare to configure. I switched to easyocr to avoid that mess.</p>\n</li>\n<li>\n<p><strong>easyocr Installation:</strong> I used <code>pip install easyocr</code>. This <em>should</em> have installed all dependencies, including PyTorch.</p>\n</li>\n<li>\n<p><strong>PyTorch Shenanigans:</strong></p>\n<ul>\n<li>Tried <code>pip install torch</code> (CPU version). pip says it’s already installed.</li>\n<li>Checked <code>import torch; print(torch.__version__)</code> - PyTorch <em>seems</em> to be installed.</li>\n<li>Even tried specific, compatible versions of <code>torch</code>, <code>torchvision</code>, and <code>easyocr</code> based on Stack Overflow suggestions. No luck.</li>\n</ul>\n</li>\n<li>\n<p><strong>Environment Variable Voodoo:</strong></p>\n<ul>\n<li>Verified <code>TESSDATA_PREFIX</code> is irrelevant (since I’m not using Tesseract anymore).</li>\n<li>Double, triple, quadruple-checked my <code>PATH</code> environment variable. It <em>should</em> include:\n<ul>\n<li><code>C:\\Users\\Mohammad\\AppData\\Local\\Programs\\Python\\Python313</code></li>\n<li><code>C:\\Users\\Mohammad\\AppData\\Local\\Programs\\Python\\Python313\\Scripts</code></li>\n</ul>\n</li>\n<li>Made sure those paths are at the top of the <code>PATH</code> list (or at least before any other Python installations).</li>\n<li><strong>IMPORTANT NOTE:</strong> <code>where python</code> returns <em>nothing</em>, which is a huge red flag!</li>\n</ul>\n</li>\n<li>\n<p><strong>Interpreter Checks:</strong></p>\n<ul>\n<li>Used the full path to my Python 3.13 executable: <code>& \"C:\\Users\\Mohammad\\AppData\\Local\\Programs\\Python\\Python313\\python.exe\" \"F:\\...\"</code></li>\n<li>This lets the script <em>start</em>, but the <code>ModuleNotFoundError</code> still happens.</li>\n</ul>\n</li>\n<li>\n<p><strong>site-packages Inspection:</strong></p>\n<ul>\n<li>Looked in <code>C:\\Users\\Mohammad\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages</code> for conflicting <code>torch</code> installations or weird files. Didn’t find anything obvious.</li>\n</ul>\n</li>\n<li>\n<p><strong>Reinstalling Everything:</strong> Uninstalling and reinstalling <code>easyocr</code> and <code>torch</code> multiple times. No change.</p>\n</li>\n</ol>\n<p><strong>What I HAVEN’T Done (Yet - and this is probably crucial):</strong></p>\n<ul>\n<li><strong>Portable Python Test:</strong> I haven’t yet tested with a portable Python installation to isolate whether the issue is system-wide or specific to my main Python 3.13 install. This is probably my next step.</li>\n<li><strong>Check module __file__ attributes:</strong> I haven’t definitively figured out which specific <code>torch</code> module Python is <em>actually</em> trying to load. I should run this inside the Python 3.13 interpreter (using the full path):</li>\n</ul>\n<pre><code>```python\nimport easyocr\nprint(easyocr.__file__)\nimport torch\nprint(torch.__file__)\n```\n</code></pre>\n<p><strong>Summary of the Situation:</strong></p>\n<ul>\n<li><code>ModuleNotFoundError</code> persists, no matter what I try.</li>\n<li>Python interpreter is reachable (with the full path).</li>\n<li><code>where python</code> returns nothing - major PATH issue.</li>\n<li>Haven’t ruled out conflicting packages or a corrupted PyTorch installation within my main Python 3.13.</li>\n<li>haven’t ruled out that it is a system wide problem</li>\n</ul>\n<p>I’m really hoping someone has seen this before or has some fresh ideas. I’m desperate! Any help would be massively appreciated. I feel like I’m missing something obvious.</p>\n<p><strong>TL;DR:</strong> <code>ModuleNotFoundError: No module named 'torch.backends'</code> with easyocr and Python 3.13 on Windows 11, despite extensive troubleshooting (PATH, versions, reinstalls, etc.). Haven’t done a portable Python test or checked <code>__file__</code> attributes yet. Help!</p>\n<hr>",12 "post_number": 1,13 "post_type": 1,14 "posts_count": 2,15 "updated_at": "2025-02-15T16:46:16.548Z",16 "reply_count": 0,17 "reply_to_post_number": null,18 "quote_count": 0,19 "incoming_link_count": 279,20 "reads": 3,21 "readers_count": 2,22 "score": 1360.6,23 "yours": false,24 "topic_id": 216718,25 "topic_slug": "modulenotfounderror-no-module-named-torch-backends-with-easyocr-and-python-3-13-windows-11-exhaustive-troubleshooting-still-stuck",26 "display_username": "Kirn anat",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 {45 "id": 2,46 "count": 147 }48 ],49 "moderator": false,50 "admin": false,51 "staff": false,52 "user_id": 82709,53 "hidden": false,54 "trust_level": 0,55 "deleted_at": null,56 "user_deleted": false,57 "edit_reason": null,58 "can_view_edit_history": true,59 "wiki": false,60 "post_url": "/t/modulenotfounderror-no-module-named-torch-backends-with-easyocr-and-python-3-13-windows-11-exhaustive-troubleshooting-still-stuck/216718/1",61 "can_accept_answer": false,62 "can_unaccept_answer": false,63 "accepted_answer": false,64 "topic_accepted_answer": null,65 "can_vote": false66 },67 {68 "id": 465624,69 "name": "",70 "username": "ptrblck",71 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png",72 "created_at": "2025-02-15T16:55:26.057Z",73 "cooked": "<p>I’m not using Windows so won’t know details and common pitfalls, but I would probably start with a quick standalone check making sure PyTorch itself can be used.<br>\nI.e. I would create a new and empty virtual environment (via <code>conda</code> or any other package manager you are using) and just <code>pip install</code> the desired PyTorch version you want (without any other applications or libs which are supposed to download and install PyTorch). Once this is done, run a small check via:</p>\n<pre data-code-wrap=\"python\"><code class=\"lang-python\">import torch\nprint(torch.__version__)\nprint(torch.__path__)\nprint(torch.backends)\nprint(torch.cuda.is_available()) # if you are using a GPU\n</code></pre>\n<p>if this works fine, you could try to install other applications afterwards hoping these will recognize an already properly installed PyTorch.</p>",74 "post_number": 2,75 "post_type": 1,76 "posts_count": 2,77 "updated_at": "2025-02-15T16:55:26.057Z",78 "reply_count": 0,79 "reply_to_post_number": null,80 "quote_count": 0,81 "incoming_link_count": 9,82 "reads": 2,83 "readers_count": 1,84 "score": 40.4,85 "yours": false,86 "topic_id": 216718,87 "topic_slug": "modulenotfounderror-no-module-named-torch-backends-with-easyocr-and-python-3-13-windows-11-exhaustive-troubleshooting-still-stuck",88 "display_username": "",89 "primary_group_name": null,90 "flair_name": null,91 "flair_url": null,92 "flair_bg_color": null,93 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1,472 "primary_group_name": null,473 "flair_name": null,474 "flair_url": null,475 "flair_color": null,476 "flair_bg_color": null,477 "flair_group_id": null,478 "trust_level": 0479 }480 ],481 "created_by": {482 "id": 82709,483 "username": "Kirn_anat",484 "name": "Kirn anat",485 "avatar_template": "/user_avatar/discuss.pytorch.org/kirn_anat/{size}/75673_2.png"486 },487 "last_poster": {488 "id": 3534,489 "username": "ptrblck",490 "name": "",491 "avatar_template": "/user_avatar/discuss.pytorch.org/ptrblck/{size}/1823_2.png"492 }493 },494 "bookmarks": []495 },496 {497 "post_stream": {498 "posts": [499 {500 "id": 465617,501 "name": "sava delchev",502 "username": "sava_delchev",503 "avatar_template": "/user_avatar/discuss.pytorch.org/sava_delchev/{size}/75671_2.png",504 "created_at": "2025-02-15T15:22:05.956Z",505 "cooked": "<p>Hello everyone,</p>\n<p>I am trying to create a LSTM model to forecast financial time series and the data is split into train,validation and test. The model is trained on the train, fine-tuned on the validation and then 14 observations are left in the test set, to check it on unobserved data.</p>\n<p>I have configured my lstm network to be stateful, i.e. i have an initial hidden state, which is updated in the batch and passed to the next batch. Of course, this makes sense for time-series data since it is sequential. I would like to keep those “warm” hidden states to be passed to the validation data as well and eventually to the test as well.</p>\n<p>However, i run into the following problem:<br>\nThe training/validation data is split into equal batches, but of course the last batch in each set has a different size. So, this means that for the last batch in the training i need a different shaped hidden and cell states. Then those need to be passed to the validation as well, with the original shape, since the first batches of the validation are the same as the train batches.</p>\n<p>At the moment, i just drop the last batches from the train and validation data, but is there a more sustainable solution?</p>\n<p>Thank you in advance!</p>",506 "post_number": 1,507 "post_type": 1,508 "posts_count": 1,509 "updated_at": "2025-02-15T15:22:05.956Z",510 "reply_count": 0,511 "reply_to_post_number": null,512 "quote_count": 0,513 "incoming_link_count": 14,514 "reads": 3,515 "readers_count": 2,516 "score": 70.6,517 "yours": false,518 "topic_id": 216714,519 "topic_slug": "stateful-lstm-problem-with-last-batch",520 "display_username": "sava delchev",521 "primary_group_name": null,522 "flair_name": null,523 "flair_url": null,524 "flair_bg_color": null,525 "flair_color": null,526 "flair_group_id": null,527 "badges_granted": [],528 "version": 1,529 "can_edit": false,530 "can_delete": false,531 "can_recover": false,532 "can_see_hidden_post": false,533 "can_wiki": false,534 "read": true,535 "user_title": null,536 "bookmarked": false,537 "actions_summary": [],538 "moderator": false,539 "admin": false,540 "staff": false,541 "user_id": 82707,542 "hidden": false,543 "trust_level": 1,544 "deleted_at": null,545 "user_deleted": false,546 "edit_reason": null,547 "can_view_edit_history": true,548 "wiki": false,549 "post_url": "/t/stateful-lstm-problem-with-last-batch/216714/1",550 "can_accept_answer": false,551 "can_unaccept_answer": false,552 "accepted_answer": false,553 "topic_accepted_answer": null,554 "can_vote": false555 }556 ],557 "stream": [558 465617559 ]560 },561 "timeline_lookup": [562 [563 1,564 252565 ]566 ],567 "suggested_topics": [568 {569 "fancy_title": "Which parameters torch.nn forward() method takes in? 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