Module PINNacle.src.optimizer.adam_lbfgs

.. warning::
    Parameters need to be specified as collections that have a deterministic
    ordering that is consistent between runs. Examples of objects that don't
    satisfy those properties are sets and iterators over values of dictionaries.

Args:
    params (iterable): an iterable of :class:`torch.Tensor` s or
        :class:`dict` s. Specifies what Tensors should be optimized.
    defaults: (dict): a dict containing default values of optimization
        options (used when a parameter group doesn't specify them).

### Ancestors (in MRO)

* torch.optim.optimizer.Optimizer

### Methods

`step(self, closure=None)`
:   Performs a single optimization step (parameter update).

    Args:
        closure (Callable): A closure that reevaluates the model and
            returns the loss. Optional for most optimizers.

    .. note::
        Unless otherwise specified, this function should not modify the
        ``.grad`` field of the parameters.