Remove LRPZIgnoreBias and LRPEpsilonIgnoreBias

albermax · Apr 14, 2022 · 64bab68 · 64bab68
1 parent 60e8f8a
commit 64bab68
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diff --git a/src/innvestigate/analyzer/__init__.py b/src/innvestigate/analyzer/__init__.py
@@ -24,15 +24,13 @@
     LRPAlpha2Beta1IgnoreBias,
     LRPAlphaBeta,
     LRPEpsilon,
-    LRPEpsilonIgnoreBias,
     LRPFlat,
     LRPSequentialPresetA,
     LRPSequentialPresetAFlat,
     LRPSequentialPresetB,
     LRPSequentialPresetBFlat,
     LRPSequentialPresetBFlatUntilIdx,
     LRPWSquare,
-    LRPZIgnoreBias,
     LRPZPlus,
     LRPZPlusFast,
 )
@@ -60,9 +58,7 @@
     # Relevance based
     "lrp": LRP,
     "lrp.z": LRPZ,
-    "lrp.z_IB": LRPZIgnoreBias,
     "lrp.epsilon": LRPEpsilon,
-    "lrp.epsilon_IB": LRPEpsilonIgnoreBias,
     "lrp.w_square": LRPWSquare,
     "lrp.flat": LRPFlat,
     "lrp.alpha_beta": LRPAlphaBeta,

diff --git a/src/innvestigate/analyzer/relevance_based/relevance_analyzer.py b/src/innvestigate/analyzer/relevance_based/relevance_analyzer.py
@@ -21,9 +21,7 @@
     "LRP",
     "LRP_RULES",
     "LRPZ",
-    "LRPZIgnoreBias",
     "LRPEpsilon",
-    "LRPEpsilonIgnoreBias",
     "LRPWSquare",
     "LRPFlat",
     "LRPAlphaBeta",
@@ -148,9 +146,7 @@ def _create_analysis(
 # Utility list enabling name mappings via string
 LRP_RULES: Dict = {
     "Z": rrule.ZRule,
-    "ZIgnoreBias": rrule.ZIgnoreBiasRule,
     "Epsilon": rrule.EpsilonRule,
-    "EpsilonIgnoreBias": rrule.EpsilonIgnoreBiasRule,
     "WSquare": rrule.WSquareRule,
     "Flat": rrule.FlatRule,
     "AlphaBeta": rrule.AlphaBetaRule,
@@ -573,16 +569,6 @@ def __init__(self, model, *args, **kwargs):
         self._do_model_checks()
 
 
-class LRPZIgnoreBias(_LRPFixedParams):
-    """LRP-analyzer that uses the LRP-Z-ignore-bias rule"""
-
-    def __init__(self, model, *args, **kwargs):
-        super().__init__(
-            model, *args, rule="ZIgnoreBias", bn_layer_rule="ZIgnoreBias", **kwargs
-        )
-        self._do_model_checks()
-
-
 class LRPEpsilon(_LRPFixedParams):
     """LRP-analyzer that uses the LRP-Epsilon rule"""
 
@@ -611,13 +597,6 @@ def __init__(self, *args, **kwargs):
         self._do_model_checks()
 
 
-class LRPEpsilonIgnoreBias(LRPEpsilon):
-    """LRP-analyzer that uses the LRP-Epsilon-ignore-bias rule"""
-
-    def __init__(self, model, *args, epsilon=1e-7, **kwargs):
-        super().__init__(model, *args, epsilon=epsilon, bias=False, **kwargs)
-        self._do_model_checks()
-
 
 class LRPWSquare(_LRPFixedParams):
     """LRP-analyzer that uses the DeepTaylor W**2 rule"""

diff --git a/src/innvestigate/analyzer/relevance_based/relevance_rule.py b/src/innvestigate/analyzer/relevance_based/relevance_rule.py
@@ -19,9 +19,7 @@
     # dedicated treatment for special layers
     # general rules
     "ZRule",
-    "ZIgnoreBiasRule",
     "EpsilonRule",
-    "EpsilonIgnoreBiasRule",
     "WSquareRule",
     "FlatRule",
     "AlphaBetaRule",
@@ -71,14 +69,6 @@ def apply(
         return [klayers.Multiply()([a, b]) for a, b in zip(Xs, grads)]
 
 
-class ZIgnoreBiasRule(ZRule):
-    """
-    Basic LRP decomposition rule, ignoring the bias neuron
-    """
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, bias=False, **kwargs)
-
 
 class EpsilonRule(igraph.ReverseMappingBase):
     """
@@ -122,12 +112,6 @@ def apply(
         return [klayers.Multiply()([a, b]) for a, b in zip(Xs, grads)]
 
 
-class EpsilonIgnoreBiasRule(EpsilonRule):
-    """Same as EpsilonRule but ignores the bias."""
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, bias=False, **kwargs)
-
 
 class WSquareRule(igraph.ReverseMappingBase):
     """W**2 rule from Deep Taylor Decomposition"""

diff --git a/tests/analyzer/test_reference_layer.py b/tests/analyzer/test_reference_layer.py
@@ -25,14 +25,12 @@
     LRPAlpha2Beta1,
     LRPAlpha2Beta1IgnoreBias,
     LRPEpsilon,
-    LRPEpsilonIgnoreBias,
     LRPFlat,
     LRPSequentialPresetA,
     LRPSequentialPresetAFlat,
     LRPSequentialPresetB,
     LRPSequentialPresetBFlat,
     LRPWSquare,
-    LRPZIgnoreBias,
     LRPZPlus,
     LRPZPlusFast,
 )
@@ -51,15 +49,13 @@
     "LRPZ": (LRPZ, {}),
     "LRPZ_Flat_input_layer_rule": (LRPZ, {"input_layer_rule": "Flat"}),
     "LRPZ_boxed_input_layer_rule": (LRPZ, {"input_layer_rule": (-10, 10)}),
-    "LRPZIgnoreBias": (LRPZIgnoreBias, {}),
     "LRPZPlus": (LRPZPlus, {}),
     "LRPZPlusFast": (LRPZPlusFast, {}),
     "LRPAlpha1Beta0": (LRPAlpha1Beta0, {}),
     "LRPAlpha1Beta0IgnoreBias": (LRPAlpha1Beta0IgnoreBias, {}),
     "LRPAlpha2Beta1": (LRPAlpha2Beta1, {}),
     "LRPAlpha2Beta1IgnoreBias": (LRPAlpha2Beta1IgnoreBias, {}),
     "LRPEpsilon": (LRPEpsilon, {}),
-    "LRPEpsilonIgnoreBias": (LRPEpsilonIgnoreBias, {}),
     "LRPFlat": (LRPFlat, {}),
     "LRPWSquare": (LRPWSquare, {}),
     "LRPSequentialPresetA": (LRPSequentialPresetA, {}),

diff --git a/tests/analyzer/test_reference_vgg16.py b/tests/analyzer/test_reference_vgg16.py
@@ -42,14 +42,12 @@
     LRPAlpha2Beta1,
     LRPAlpha2Beta1IgnoreBias,
     LRPEpsilon,
-    LRPEpsilonIgnoreBias,
     LRPFlat,
     LRPSequentialPresetA,
     LRPSequentialPresetAFlat,
     LRPSequentialPresetB,
     LRPSequentialPresetBFlat,
     LRPWSquare,
-    LRPZIgnoreBias,
     LRPZPlus,
     LRPZPlusFast,
 )
@@ -68,15 +66,13 @@
     "LRPZ": (LRPZ, {}),
     "LRPZ_Flat_input_layer_rule": (LRPZ, {"input_layer_rule": "Flat"}),
     "LRPZ_boxed_input_layer_rule": (LRPZ, {"input_layer_rule": (-10, 10)}),
-    "LRPZIgnoreBias": (LRPZIgnoreBias, {}),
     "LRPZPlus": (LRPZPlus, {}),
     "LRPZPlusFast": (LRPZPlusFast, {}),
     "LRPAlpha1Beta0": (LRPAlpha1Beta0, {}),
     "LRPAlpha1Beta0IgnoreBias": (LRPAlpha1Beta0IgnoreBias, {}),
     "LRPAlpha2Beta1": (LRPAlpha2Beta1, {}),
     "LRPAlpha2Beta1IgnoreBias": (LRPAlpha2Beta1IgnoreBias, {}),
     "LRPEpsilon": (LRPEpsilon, {}),
-    "LRPEpsilonIgnoreBias": (LRPEpsilonIgnoreBias, {}),
     "LRPFlat": (LRPFlat, {}),
     "LRPWSquare": (LRPWSquare, {}),
     "LRPSequentialPresetA": (LRPSequentialPresetA, {}),

diff --git a/tests/analyzer/test_relevance_based.py b/tests/analyzer/test_relevance_based.py
@@ -9,14 +9,12 @@
     LRPAlpha2Beta1,
     LRPAlpha2Beta1IgnoreBias,
     LRPEpsilon,
-    LRPEpsilonIgnoreBias,
     LRPFlat,
     LRPSequentialPresetA,
     LRPSequentialPresetAFlat,
     LRPSequentialPresetB,
     LRPSequentialPresetBFlat,
     LRPWSquare,
-    LRPZIgnoreBias,
     LRPZPlus,
     LRPZPlusFast,
 )
@@ -27,7 +25,6 @@
     "LRPZ": (LRPZ, {}),
     "LRPZ_Flat_input_layer_rule": (LRPZ, {"input_layer_rule": "Flat"}),
     "LRPZ_boxed_input_layer_rule": (LRPZ, {"input_layer_rule": (-10, 10)}),
-    "LRPZIgnoreBias": (LRPZIgnoreBias, {}),
     "LRPZPlus": (LRPZPlus, {}),
     "LRPZPlusFast": (LRPZPlusFast, {}),
     "BaselineLRPZ": (BaselineLRPZ, {}),
@@ -36,7 +33,6 @@
     "LRPAlpha2Beta1": (LRPAlpha2Beta1, {}),
     "LRPAlpha2Beta1IgnoreBias": (LRPAlpha2Beta1IgnoreBias, {}),
     "LRPEpsilon": (LRPEpsilon, {}),
-    "LRPEpsilonIgnoreBias": (LRPEpsilonIgnoreBias, {}),
     "LRPFlat": (LRPFlat, {}),
     "LRPWSquare": (LRPWSquare, {}),
     "LRPSequentialPresetA": (LRPSequentialPresetA, {}),