beignet.features
beignet.features.Feature
Bases: Tensor
Feature
Source code in src/beignet/features/_feature.py
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__torch_function__
classmethod
__torch_function__(func, types, args=(), kwargs=None)
The default behavior of :class:~Tensor
’s retains the custom tensor
type. For :class:Feature
, this creates two problems:
1. :class:`Feature` may require metadata and the default wrapping,
i.e., ``return cls(func(*args, **kwargs))``, will fail.
2. For most operations, there is no way of knowing if an input
type is still valid for the output type.
To address these two problems, :class:Feature
disables automatic
output wrapping for most operators. The exceptions are available from
:attr:Feature._NO_WRAPPING_EXCEPTIONS
Source code in src/beignet/features/_feature.py
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beignet.features.EulerAngle
Bases: Feature
Source code in src/beignet/features/_euler_angle.py
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beignet.features.Quaternion
Bases: Feature
Source code in src/beignet/features/_quaternion.py
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beignet.features.RotationMatrix
Bases: Feature
Source code in src/beignet/features/_rotation_matrix.py
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beignet.features.RotationVector
Bases: Feature
Source code in src/beignet/features/_rotation_vector.py
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