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parsing

Functions

clean_namespace

Removes all unpicklable entries from hparams.

collect_init_args

Recursively collects the arguments passed to the child constructors in the inheritance tree.

get_init_args

For backwards compatibility: #16369.

is_picklable

Tests if an object can be pickled.

lightning_getattr

Special getattr for Lightning.

lightning_hasattr

Special hasattr for Lightning.

lightning_setattr

Special setattr for Lightning.

parse_class_init_keys

Parse key words for standard self, *args and **kwargs.

save_hyperparameters

See save_hyperparameters()

Classes

AttributeDict

Extended dictionary accessible with dot notation.

Utilities used for parameter parsing.

class lightning.pytorch.utilities.parsing.AttributeDict[source]

Bases: Dict

Extended dictionary accessible with dot notation.

>>> ad = AttributeDict({'key1': 1, 'key2': 'abc'})
>>> ad.key1
1
>>> ad.update({'my-key': 3.14})
>>> ad.update(new_key=42)
>>> ad.key1 = 2
>>> ad
"key1":    2
"key2":    abc
"my-key":  3.14
"new_key": 42
lightning.pytorch.utilities.parsing.clean_namespace(hparams)[source]

Removes all unpicklable entries from hparams.

Return type

None

lightning.pytorch.utilities.parsing.collect_init_args(frame, path_args, inside=False, classes=())[source]

Recursively collects the arguments passed to the child constructors in the inheritance tree.

Parameters
  • frame (frame) – the current stack frame

  • path_args (List[Dict[str, Any]]) – a list of dictionaries containing the constructor args in all parent classes

  • inside (bool) – track if we are inside inheritance path, avoid terminating too soon

  • classes (Tuple[Type, ...]) – the classes in which to inspect the frames

Return type

List[Dict[str, Any]]

Returns

A list of dictionaries where each dictionary contains the arguments passed to the constructor at that level. The last entry corresponds to the constructor call of the most specific class in the hierarchy.

lightning.pytorch.utilities.parsing.get_init_args(frame)[source]

For backwards compatibility: #16369.

Return type

Dict[str, Any]

lightning.pytorch.utilities.parsing.is_picklable(obj)[source]

Tests if an object can be pickled.

Return type

bool

lightning.pytorch.utilities.parsing.lightning_getattr(model, attribute)[source]

Special getattr for Lightning. Checks for attribute in model namespace, the old hparams namespace/dict, and the datamodule.

Raises

AttributeError – If model doesn’t have attribute in any of model namespace, the hparams namespace/dict, and the datamodule.

Return type

Optional[Any]

lightning.pytorch.utilities.parsing.lightning_hasattr(model, attribute)[source]

Special hasattr for Lightning.

Checks for attribute in model namespace, the old hparams namespace/dict, and the datamodule.

Return type

bool

lightning.pytorch.utilities.parsing.lightning_setattr(model, attribute, value)[source]

Special setattr for Lightning. Checks for attribute in model namespace and the old hparams namespace/dict. Will also set the attribute on datamodule, if it exists.

Raises

AttributeError – If model doesn’t have attribute in any of model namespace, the hparams namespace/dict, and the datamodule.

Return type

None

lightning.pytorch.utilities.parsing.parse_class_init_keys(cls)[source]

Parse key words for standard self, *args and **kwargs.

Examples

>>> class Model:
...     def __init__(self, hparams, *my_args, anykw=42, **my_kwargs):
...         pass
>>> parse_class_init_keys(Model)
('self', 'my_args', 'my_kwargs')
Return type

Tuple[str, Optional[str], Optional[str]]

lightning.pytorch.utilities.parsing.save_hyperparameters(obj, *args, ignore=None, frame=None)[source]

See save_hyperparameters()

Return type

None