disentangled
- class symm_learning.nn.disentangled.Change2DisentangledBasis(in_type: FieldType, learnable: bool = False)[source]
Changes the basis of a geometric tensor to a disentangled one.
This module applies a linear change of basis of the input
escnn.nn.GeometricTensor
to a disentangled/isotypic basis. In this basis the group representation- Parameters:
in_type (FieldType) – The type of the input GeometricTensor, specifying the representation space.
learnable (bool, optional) – If
True
, the change of basis matrix is a learnable parameter. IfFalse
, it is a fixed, pre-computed matrix. Defaults toFalse
.
- evaluate_output_shape(input_shape: tuple[int, ...]) tuple[int, ...] [source]
Compute the shape the output tensor which would be generated by this module when a tensor with shape
input_shape
is provided as input.- Parameters:
input_shape (tuple) – shape of the input tensor
- Returns:
shape of the output tensor
- extra_repr() str [source]
Return the extra representation of the module.
To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line strings are acceptable.
- forward(x: GeometricTensor)[source]
Define the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.