def test_siamese_all():
right_input_layer = core.Dense(7, input_dim=3)
left_input_layer = core.Dense(7, input_dim=3)
shared_layer = core.Dense(5,input_dim=7)
for mode in ['sum', 'mul', 'ave', 'concat']:
siamese_layer = core.Siamese(shared_layer, [left_input_layer, right_input_layer], merge_mode=mode)
siamese_layer.output_shape
siamese_layer.get_output()
def test_siamese_theano_only():
right_input_layer = core.Dense(7, input_dim=3)
left_input_layer = core.Dense(7, input_dim=3)
shared_layer = core.Dense(5,input_dim=7)
for mode in ['dot', 'cos']:
siamese_layer = core.Siamese(shared_layer, [left_input_layer, right_input_layer], merge_mode=mode,
dot_axes=([1], [1]))
siamese_layer.output_shape
siamese_layer.get_output()