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PyTorch tutorials.
There is the following issue on this page: https://docs.pytorch.org/tutorials/beginner/saving_loading_models.html Issue: I am referring to the section https://docs.pytorch.org/tutorials/beginner/saving_loading_models.html#saving-torch-nn-dataparallel-models. Contrary to this other tutorial https://docs.pytorch.org/tutorials/intermediate/ddp_tutorial.html it does not include (in the "save"...
It is a good head start for beginners to pytorch. I am moving from tensorflow to pytorch and find this tutorial to give me a good grip on to the...
### Add Link - https://docs.pytorch.org/tutorials/intermediate/torch_compile_tutorial.html - https://docs.pytorch.org/tutorials/intermediate/torch_compile_full_example.html ### Describe the bug The listed tutorials include broken links: - https://docs.pytorch.org/docs/main/compile/programming_model.html - https://docs.pytorch.org/docs/main/compile/programming_model.graph_break s_index.html ### Describe your environment _None_ cc @svekars @sekyondaMeta...
Fixes #3643 ## Description ## Checklist - [ ] The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER") - [ ] Only one issue...
The tutorial code uses exp(x) but the documentation incorrectly stated it was learning sin(x). This fix updates the documentation to correctly describe what the code does: - Changed documentation from...
- Updated redirects for dynamic_quantization_tutorial.html to point to gpu_quantization_torchao_tutorial - Updated redirects for static_quantization_tutorial.html to point to pytorch.org/ao documentation - Removed missing dynamic_quantization recipe from recipes_index.rst - Updated recipes README...
Updated URL from: https://github.com/pytorch/tutorials/raw/main/_static/ To: https://github.com/pytorch/tutorials/raw/refs/heads/main/_static/ Fixes issue #3569 ## Description ## Checklist - [ ] The issue that is being fixed is referred in the description (see above "Fixes...
The tutorial was using torch.accelerator.is_available() and torch.accelerator.current_accelerator() which causes an AttributeError in PyTorch versions that don't have the accelerator API. Changed to use the more widely compatible torch.cuda.is_available() and tensor.to('cuda')...
The tutorial was pointing to a Google Docs page that is no longer maintained and not well indexed. Many of the restrictions mentioned in that document have since been lifted....
The tutorial was comparing loss on different batches: - Pre-training: evaluated on first 64 instances (batch 0) - Post-training: evaluated on last batch from training loop This made the comparison...