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Robustness test with synthetic and natural fixpoints. Should now work as

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intended. Noise gets added to weights instead of input.
This commit is contained in:
Maximilian Zorn
2021-05-22 14:27:45 +02:00
parent bcfe5807a7
commit e9f6620b60
4 changed files with 202 additions and 22 deletions
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27
functionalities_test.py
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@ -24,9 +24,9 @@ def is_identity_function(network: Net, epsilon=pow(10, -5)) -> bool:
rtol=0, atol=epsilon)
def is_zero_fixpoint(network: Net) -> bool:
def is_zero_fixpoint(network: Net) -> bool:
result = bool(len(np.nonzero(network.create_target_weights(network.input_weight_matrix()))))
return result
return not result
def is_secondary_fixpoint(network: Net, epsilon: float = pow(10, -5)) -> bool:
@ -56,24 +56,23 @@ def is_secondary_fixpoint(network: Net, epsilon: float = pow(10, -5)) -> bool:
def test_for_fixpoints(fixpoint_counter: Dict, nets: List, id_functions=None):
id_functions = id_functions or list()
for i in range(len(nets)):
net = nets[i]
if is_divergent(nets[i]):
for net in nets:
if is_divergent(net):
fixpoint_counter["divergent"] += 1
nets[i].is_fixpoint = "divergent"
elif is_identity_function(nets[i]): # is default value
net.is_fixpoint = "divergent"
elif is_identity_function(net): # is default value
fixpoint_counter["identity_func"] += 1
nets[i].is_fixpoint = "identity_func"
id_functions.append(nets[i])
elif is_zero_fixpoint(nets[i]):
net.is_fixpoint = "identity_func"
id_functions.append(net)
elif is_zero_fixpoint(net):
fixpoint_counter["fix_zero"] += 1
nets[i].is_fixpoint = "fix_zero"
elif is_secondary_fixpoint(nets[i]):
net.is_fixpoint = "fix_zero"
elif is_secondary_fixpoint(net):
fixpoint_counter["fix_sec"] += 1
nets[i].is_fixpoint = "fix_sec"
net.is_fixpoint = "fix_sec"
else:
fixpoint_counter["other_func"] += 1
nets[i].is_fixpoint = "other_func"
net.is_fixpoint = "other_func"
return id_functions