def test_fast__BasicGraphReversal():
def method1(model):
return BaselineGradient(model)
def method2(model):
return Gradient(model)
dryrun.test_equal_analyzer(method1, method2, "trivia.*:mnist.log_reg")
def test_precommit__BasicGraphReversal():
def method1(model):
return BaselineGradient(model)
def method2(model):
return Gradient(model)
dryrun.test_equal_analyzer(method1, method2, "mnist.*")
def test_fast__LRPZ__equal_BaselineLRPZ():
def method1(model):
return BaselineLRPZ(model)
def method2(model):
# LRP-Z with bias
return LRPZ(model)
dryrun.test_equal_analyzer(
method1,
method2,
# mind this only works for
# networks with relu, max,
# activations and no
# skip connections!
"trivia.dot:mnist.log_reg")