6c75e7b5840de76bb942f145390b408c2fc8cdce,model_multi_inputs_train.py,,,#,22

Before Change

    from read_activations import *

    get_activations(m, [inp_a[0:1], inp_b[0:1]], print_shape_only=True)
    get_activations(m, [inp_a[0:1], inp_b[0:1]], print_shape_only=True, layer_name="only_this_layer")

    m2 = get_single_inputs_model()
    m2.compile(optimizer="adam",

After Change

    inp_o = np.random.randint(low=0, high=2, size=(100, 1))
    m.fit([inp_a, inp_b], inp_o)

    print("\n".join([str(v.shape) for v in get_activations(m, [inp_a[0:1], inp_b[0:1]])]))
    get_activations(m, [inp_a[0:1], inp_b[0:1]], layer_name="only_this_layer")

    m2 = get_single_inputs_model()

Instances