def test_conv_zb_active_bias(self):
expected_result = [[[[0, 0], [0, 0],
[-4.232906357e-05, -4.264118594e-05]],
[[0, 0], [0, 0],
[-0.0002441027169, -0.0001287812181]],
[[0.0511805643, 0.03121454034],
[0.1487963475, 0.1636981056],
[-0.001490325286, -0.0005114089294]]]]
config = LRPConfiguration()
config.set(
LAYER.LINEAR,
EpsilonConfiguration(epsilon=1,
bias_strategy=BIAS_STRATEGY.IGNORE))
config.set_first_layer_zb(_c(-0.5),
_c(2.),
bias_strategy=BIAS_STRATEGY.ACTIVE)
self._do_convolutional_test(config, expected_result)
def test_conv_zb_all_bias(self):
expected_result = [[[[0, 0], [0, 0],
[-3.049265839e-05, -3.080478076e-05]],
[[0, 0], [0, 0],
[-0.0002322663118, -0.0001169448129]],
[[0.04284719936, 0.0228811754],
[0.1404629826, 0.1553647406],
[-0.001139536047, -0.0001606196899]]]]
config = LRPConfiguration()
config.set(
LAYER.LINEAR,
EpsilonConfiguration(epsilon=1,
bias_strategy=BIAS_STRATEGY.IGNORE))
config.set_first_layer_zb(_c(-0.5),
_c(2.),
bias_strategy=BIAS_STRATEGY.ALL)
self._do_convolutional_test(config, expected_result)
def test_conv_zb_no_bias(self):
expected_result = [[[[0, 0], [0, 0],
[-1.865625321e-05, -1.896837558e-05]],
[[0, 0], [0, 0],
[-0.0002204299066, -0.0001051084077]],
[[0.03451383443, 0.01454781046],
[0.1321296177, 0.1470313757],
[-0.0010226063, -4.368994345e-05]]]]
config = LRPConfiguration()
config.set(
LAYER.LINEAR,
EpsilonConfiguration(epsilon=1,
bias_strategy=BIAS_STRATEGY.IGNORE))
config.set_first_layer_zb(_c(-0.5),
_c(2.),
bias_strategy=BIAS_STRATEGY.NONE)
self._do_convolutional_test(config, expected_result)
def test_conv_zb_ignore_bias(self):
expected_result = [[[[0, 0], [0, 0],
[-2.352069164e-05, -2.391419691e-05]],
[[0, 0], [0, 0],
[-0.0002779048828, -0.0001325144132]],
[[0.04152410963, 0.01750268803],
[0.1589671162, 0.1768956439],
[-0.001919716057, -8.201815885e-05]]]]
config = LRPConfiguration()
config.set(
LAYER.LINEAR,
EpsilonConfiguration(epsilon=1,
bias_strategy=BIAS_STRATEGY.IGNORE))
config.set_first_layer_zb(_c(-0.5),
_c(2.),
bias_strategy=BIAS_STRATEGY.IGNORE)
self._do_convolutional_test(config, expected_result)
def test_zb_all_bias(self):
config = LRPConfiguration()
config.set(LAYER.LINEAR,
AlphaBetaConfiguration(bias_strategy=BIAS_STRATEGY.IGNORE))
config.set_first_layer_zb(_l(-1), _l(1), BIAS_STRATEGY.ALL)
expected_result = [[[0, 0, 0, 0, 0], [0, 0, 0, 0, 0]],
[[
0.0698808139, -0.0423098508, 0.449498635,
0.008238149531, 0.3091131246
],
[
0.0628218352, 0.1973151543, 0.1616683269,
0.09610076993, 0.07305203625
]],
[[0, 0, 0, 0, 0],
[
0.193439198, 0.01149534468, 0.02828658801,
0.2718921108, 0.04192110389
]]]
self._do_linear_test(config, np.array(expected_result))
def test_zb_no_bias(self):
config = LRPConfiguration()
config.set(LAYER.LINEAR,
AlphaBetaConfiguration(bias_strategy=BIAS_STRATEGY.IGNORE))
config.set_first_layer_zb(_l(-1), _l(1), BIAS_STRATEGY.NONE)
expected_result = [[[0, 0, 0, 0, 0], [0, 0, 0, 0, 0]],
[[
0.1145575292, 0.002366864524, 0.4941753504,
0.05291486486, 0.3537898399
],
[
0.07031890972, 0.2048122289, 0.1691654014,
0.1035978445, 0.08054911078
]],
[[0, 0, 0, 0, 0],
[
0.2102658664, 0.0283220131, 0.04511325643,
0.2887187793, 0.05874777231
]]]
self._do_linear_test(config, np.array(expected_result))
def test_zb_ignore_bias(self):
config = LRPConfiguration()
config.set(LAYER.LINEAR,
AlphaBetaConfiguration(bias_strategy=BIAS_STRATEGY.IGNORE))
config.set_first_layer_zb(_l(-1), _l(1), BIAS_STRATEGY.IGNORE)
expected_result = [[[0, 0, 0, 0, 0], [0, 0, 0, 0, 0]],
[[
0.08941490911, 0.001847394735, 0.3857157564,
0.04130132575, 0.2761414863
],
[
0.06524084895, 0.2049935833, 0.1593686046,
0.08435578325, 0.07699930241
]],
[[0, 0, 0, 0, 0],
[
0.1842489119, 0.02888073415, 0.04590480826,
0.2341442052, 0.05385568583
]]]
self._do_linear_test(config, np.array(expected_result))