Method
__init__
(
self,
zoom: Sequence[float] | float,
mode: str = InterpolateMode.AREA,
padding_mode: str = NumpyPadMode.EDGE,
align_corners: bool | None = None,
dtype: DtypeLike | torch.dtype = torch.float32,
keep_size: bool = True,
lazy: bool = False,
**kwargs,
)
Source from the content-addressed store, hash-verified
| 1081 | backend = [TransformBackends.TORCH] |
| 1082 | |
| 1083 | def __init__( |
| 1084 | self, |
| 1085 | zoom: Sequence[float] | float, |
| 1086 | mode: str = InterpolateMode.AREA, |
| 1087 | padding_mode: str = NumpyPadMode.EDGE, |
| 1088 | align_corners: bool | None = None, |
| 1089 | dtype: DtypeLike | torch.dtype = torch.float32, |
| 1090 | keep_size: bool = True, |
| 1091 | lazy: bool = False, |
| 1092 | **kwargs, |
| 1093 | ) -> None: |
| 1094 | LazyTransform.__init__(self, lazy=lazy) |
| 1095 | self.zoom = zoom |
| 1096 | self.mode = mode |
| 1097 | self.padding_mode = padding_mode |
| 1098 | self.align_corners = align_corners |
| 1099 | self.dtype = dtype |
| 1100 | self.keep_size = keep_size |
| 1101 | self.kwargs = kwargs |
| 1102 | |
| 1103 | def __call__( |
| 1104 | self, |
Callers
nothing calls this directly
Tested by
no test coverage detected