What are the optimizers available in PyTorch?

Commonly used optimizers in PyTorch include:

1. The optimizer called Stochastic Gradient Descent in PyTorch.
2. an optimization algorithm called Adam
3. A optimizer method in PyTorch called Adagrad.
4. use the optimizer AdamW from the torch module
5. The Adadelta optimizer in PyTorch.
6. a class named RMSprop in the torch.optim module
7. Adamax optimizer from the PyTorch library
8. ASGD optimizer from the torch.optim module.

These optimizers are commonly used optimization algorithms in PyTorch, and you can choose the appropriate optimizer for model training based on the specific task requirements.