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Add support for tuples of layers (instead of strictly list) in LayerLRP #1328

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Add support for tuples of layers (instead of strictly list) in LayerLRP #1328

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a91c1a3
Add support for tuple of layers (instead of strictly list) in LayerLRP
alexandrelarouche Aug 15, 2024
413ca29
Merge pull request #1 from Quoding/lrp_tuple
alexandrelarouche Aug 15, 2024
3e1b494
Merge branch 'master' into master
alexandrelarouche Oct 17, 2024
bd2b504
Merge branch 'master' into master
alexandrelarouche Nov 11, 2024
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3 changes: 3 additions & 0 deletions captum/_utils/typing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,9 @@
# pyre-fixme[24]: Generic type `tuple` expects at least 1 type parameter.
TupleOrTensorOrBoolGeneric = TypeVar("TupleOrTensorOrBoolGeneric", Tuple, Tensor, bool)
ModuleOrModuleList = TypeVar("ModuleOrModuleList", Module, List[Module])
ModuleOrModuleListOrModuleTuple = TypeVar(
"ModuleOrModuleListOrModuleTuple", Module, List[Module], Tuple[Module]
)
TargetType = Union[None, int, Tuple[int, ...], Tensor, List[Tuple[int, ...]], List[int]]
BaselineTupleType = Union[None, Tuple[Union[Tensor, int, float], ...]]
BaselineType = Union[None, Tensor, int, float, BaselineTupleType]
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5 changes: 3 additions & 2 deletions captum/attr/_core/layer/layer_lrp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
)
from captum._utils.typing import (
ModuleOrModuleList,
ModuleOrModuleListOrModuleTuple,
TargetType,
TensorOrTupleOfTensorsGeneric,
)
Expand Down Expand Up @@ -253,7 +254,7 @@ def attribute(

if return_convergence_delta:
delta: Union[Tensor, List[Tensor]]
if isinstance(self.layer, list):
if isinstance(self.layer, list) or isinstance(self.layer, tuple):
delta = []
for relevance_layer in relevances:
delta.append(
Expand Down Expand Up @@ -294,7 +295,7 @@ def _get_single_output_relevance(self, layer, output):
# pyre-fixme[3]: Return type must be annotated.
# pyre-fixme[2]: Parameter must be annotated.
def _get_output_relevance(self, output):
if isinstance(self.layer, list):
if isinstance(self.layer, list) or isinstance(self.layer, tuple):
relevances = []
for layer in self.layer:
relevances.append(self._get_single_output_relevance(layer, output))
Expand Down