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resize3d

Resize3D

Bases: TensorOp

Resize a 3D tensor.

Parameters:

Name Type Description Default
inputs Union[str, Iterable[str]]

Key of the input tensor.

 required
outputs Union[str, Iterable[str]]

Key of the output tensor.

 required
output_shape Sequence[int]

The desired output shape for the input tensor.

 required
resize_mode str

The resize mode of the operation ('area' or 'nearest').

 'nearest'
mode Union[None, str, Iterable[str]]

What mode(s) to execute this Op in. For example, "train", "eval", "test", or "infer". To execute regardless of mode, pass None. To execute in all modes except for a particular one, you can pass an argument like "!infer" or "!train".

 None
ds_id Union[None, str, Iterable[str]]

What dataset id(s) to execute this Op in. To execute regardless of ds_id, pass None. To execute in all ds_ids except for a particular one, you can pass an argument like "!ds1".

 None
Source code in fastestimator\fastestimator\op\tensorop\resize3d.py 
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@traceable()
class Resize3D(TensorOp):
    """Resize a 3D tensor.

        Args:
            inputs: Key of the input tensor.
            outputs: Key of the output tensor.
            output_shape: The desired output shape for the input tensor.
            resize_mode: The resize mode of the operation ('area' or 'nearest').
            mode: What mode(s) to execute this Op in. For example, "train", "eval", "test", or "infer". To execute
                regardless of mode, pass None. To execute in all modes except for a particular one, you can pass an argument
                like "!infer" or "!train".
            ds_id: What dataset id(s) to execute this Op in. To execute regardless of ds_id, pass None. To execute in all
                ds_ids except for a particular one, you can pass an argument like "!ds1".
    """
    def __init__(self,
                 inputs: Union[str, Iterable[str]],
                 outputs: Union[str, Iterable[str]],
                 output_shape: Sequence[int],
                 resize_mode: str = 'nearest',
                 mode: Union[None, str, Iterable[str]] = None,
                 ds_id: Union[None, str, Iterable[str]] = None):

        super().__init__(inputs=to_list(inputs), outputs=to_list(outputs), mode=mode)
        assert resize_mode in ['nearest', 'area'], "Only following resize modes are supported: 'nearest', 'area' "
        self.output_shape = output_shape
        self.reize_mode = resize_mode

    def forward(self, data: List[Tensor], state: Dict[str, Any]) -> Union[Tensor, List[Tensor]]:
        return [resize_3d(elem, self.output_shape, self.resize_mode) for elem in data]