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aacafd2cba
Doing some tests with all Optimizer and LRScheduler classes in optim package, I noticed a couple of mistakes in type annotations, so created a pull request to fix them. - In Optimizer class, incorrectly named parameter `default` instead of `defaults` in pyi file - In SGD class, type for `maximize` and `differentiable` not available in either py or pyi files I don't know if there is a plan to move all types from pyi to py files, so wasn't too sure where to fix what. Pull Request resolved: https://github.com/pytorch/pytorch/pull/90216 Approved by: https://github.com/janeyx99 |
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| .. | ||
| _multi_tensor | ||
| __init__.py | ||
| __init__.pyi | ||
| _functional.py | ||
| adadelta.py | ||
| adadelta.pyi | ||
| adagrad.py | ||
| adagrad.pyi | ||
| adam.py | ||
| adam.pyi | ||
| adamax.py | ||
| adamax.pyi | ||
| adamw.py | ||
| adamw.pyi | ||
| asgd.py | ||
| asgd.pyi | ||
| lbfgs.py | ||
| lbfgs.pyi | ||
| lr_scheduler.py | ||
| lr_scheduler.pyi | ||
| nadam.py | ||
| nadam.pyi | ||
| optimizer.py | ||
| optimizer.pyi | ||
| radam.py | ||
| radam.pyi | ||
| rmsprop.py | ||
| rmsprop.pyi | ||
| rprop.py | ||
| rprop.pyi | ||
| sgd.py | ||
| sgd.pyi | ||
| sparse_adam.py | ||
| sparse_adam.pyi | ||
| swa_utils.py | ||
| swa_utils.pyi | ||