示例#1
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def test_imagenet__BaselineGradient():

    def method(model):
        return BaselineGradient(model)

    dryrun.test_analyzer(method, "imagenet.*")
示例#2
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def test_fast__BaselineLRPZ():
    def method(model):
        return BaselineLRPZ(model)

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#3
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def test_fast__LRPZIgnoreBias():
    def method(model):
        return LRPZIgnoreBias(model)

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#4
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def test_fast__BoundedDeepTaylor():
    def method(model):
        return BoundedDeepTaylor(model, low=-1, high=1)

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#5
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def test_imagenet__BoundedDeepTaylor():
    def method(model):
        return BoundedDeepTaylor(model, low=-1, high=1)

    dryrun.test_analyzer(method, "imagenet.*")
示例#6
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def test_precommit__AnalyzerNetworkBase_neuron_selection_max():

    def method(model):
        return Gradient(model, neuron_selection_mode="max_activation")

    dryrun.test_analyzer(method, "mnist.*")
示例#7
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def test_precommit__DeepTaylor():
    def method(model):
        return DeepTaylor(model)

    dryrun.test_analyzer(method, "mnist.*")
示例#8
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def test_fast__PathIntegrator__python_based():
    def method(model):
        return PathIntegrator(Input(model))

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#9
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def test_fast__PathIntegrator__keras_based():
    def method(model):
        return PathIntegrator(Gradient(model))

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#10
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def test_fast__GaussianSmoother__keras_based():
    def method(model):
        return GaussianSmoother(Gradient(model))

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#11
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def test_precommit__GaussianSmoother__keras_based():
    def method(model):
        return GaussianSmoother(Gradient(model))

    dryrun.test_analyzer(method, "mnist.*")
示例#12
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def test_fast__GaussianSmoother__python_based():
    def method(model):
        return GaussianSmoother(Input(model))

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#13
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def test_precommit__BaselineGradient_pp_square():

    def method(model):
        return BaselineGradient(model, postprocess="square")

    dryrun.test_analyzer(method, "mnist.*")
示例#14
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def test_fast__BaselineGradient_pp_square():

    def method(model):
        return BaselineGradient(model, postprocess="square")

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#15
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def test_precommit__BaseReverseNetwork_reverse_check_finite():

    def method(model):
        return Gradient(model, reverse_verbose=True, reverse_check_finite=True)

    dryrun.test_analyzer(method, "mnist.*")
示例#16
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def test_precommit__PathIntegrator__keras_based():
    def method(model):
        return PathIntegrator(Gradient(model))

    dryrun.test_analyzer(method, "mnist.*")
示例#17
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def test_fast__AnalyzerNetworkBase_neuron_selection_max():

    def method(model):
        return Gradient(model, neuron_selection_mode="max_activation")

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#18
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def test_fast__WrapperBase():
    def method(model):
        return WrapperBase(Gradient(model))

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#19
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def test_fast__DeepTaylor():
    def method(model):
        return DeepTaylor(model)

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#20
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def test_precommit__WrapperBase():
    def method(model):
        return WrapperBase(Gradient(model))

    dryrun.test_analyzer(method, "mnist.*")
示例#21
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def test_imagenet__DeepTaylor():
    def method(model):
        return DeepTaylor(model)

    dryrun.test_analyzer(method, "imagenet.*")
示例#22
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def test_fast__AugmentReduceBase__python_based():
    def method(model):
        return AugmentReduceBase(Input(model))

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#23
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def test_precommit__BoundedDeepTaylor():
    def method(model):
        return BoundedDeepTaylor(model, low=-1, high=1)

    dryrun.test_analyzer(method, "mnist.*")
示例#24
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def test_fast__AugmentReduceBase__keras_based():
    def method(model):
        return AugmentReduceBase(Gradient(model))

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#25
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def test_fast__LRPAlpha1Beta0():
    def method(model):
        return LRPAlpha1Beta0(model)

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#26
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def test_precommit__AugmentReduceBase__keras_based():
    def method(model):
        return AugmentReduceBase(Gradient(model))

    dryrun.test_analyzer(method, "mnist.*")
示例#27
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def test_fast__LRPZ__with_boxed_input_layer_rule():
    def method(model):
        return LRPZ(model, input_layer_rule=(-10, 10))

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#28
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def test_fast__BaseReverseNetwork_reverse_check_finite():

    def method(model):
        return Gradient(model, reverse_verbose=True, reverse_check_finite=True)

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#29
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def test_fast__LRPEpsilon():
    def method(model):
        return LRPEpsilon(model)

    dryrun.test_analyzer(method, "trivia.*:mnist.log_reg")
示例#30
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def test_precommit__BaselineGradient():

    def method(model):
        return BaselineGradient(model)

    dryrun.test_analyzer(method, "mnist.*")