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| """ |
| A collection of generic traits for MONAI transforms. |
| """ |
|
|
| from __future__ import annotations |
|
|
| __all__ = ["LazyTrait", "InvertibleTrait", "RandomizableTrait", "MultiSampleTrait", "ThreadUnsafe"] |
|
|
| from typing import Any |
|
|
|
|
| class LazyTrait: |
| """ |
| An interface to indicate that the transform has the capability to execute using |
| MONAI's lazy resampling feature. In order to do this, the implementing class needs |
| to be able to describe its operation as an affine matrix or grid with accompanying metadata. |
| This interface can be extended from by people adapting transforms to the MONAI framework as |
| well as by implementors of MONAI transforms. |
| """ |
|
|
| @property |
| def lazy(self): |
| """ |
| Get whether lazy evaluation is enabled for this transform instance. |
| Returns: |
| True if the transform is operating in a lazy fashion, False if not. |
| """ |
| raise NotImplementedError() |
|
|
| @lazy.setter |
| def lazy(self, enabled: bool): |
| """ |
| Set whether lazy evaluation is enabled for this transform instance. |
| Args: |
| enabled: True if the transform should operate in a lazy fashion, False if not. |
| """ |
| raise NotImplementedError() |
|
|
| @property |
| def requires_current_data(self): |
| """ |
| Get whether the transform requires the input data to be up to date before the transform executes. |
| Such transforms can still execute lazily by adding pending operations to the output tensors. |
| Returns: |
| True if the transform requires its inputs to be up to date and False if it does not |
| """ |
|
|
|
|
| class InvertibleTrait: |
| """ |
| An interface to indicate that the transform can be inverted, i.e. undone by performing |
| the inverse of the operation performed during `__call__`. |
| """ |
|
|
| def inverse(self, data: Any) -> Any: |
| raise NotImplementedError() |
|
|
|
|
| class RandomizableTrait: |
| """ |
| An interface to indicate that the transform has the capability to perform |
| randomized transforms to the data that it is called upon. This interface |
| can be extended from by people adapting transforms to the MONAI framework as well as by |
| implementors of MONAI transforms. |
| """ |
|
|
| pass |
|
|
|
|
| class MultiSampleTrait: |
| """ |
| An interface to indicate that the transform has the capability to return multiple samples |
| given an input, such as when performing random crops of a sample. This interface can be |
| extended from by people adapting transforms to the MONAI framework as well as by implementors |
| of MONAI transforms. |
| """ |
|
|
| pass |
|
|
|
|
| class ThreadUnsafe: |
| """ |
| A class to denote that the transform will mutate its member variables, |
| when being applied. Transforms inheriting this class should be used |
| cautiously in a multi-thread context. |
| |
| This type is typically used by :py:class:`monai.data.CacheDataset` and |
| its extensions, where the transform cache is built with multiple threads. |
| """ |
|
|
| pass |
|
|