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meine Eingangsdaten input_a Betrachten und input_bBenutzerdefinierte Dot Produkt in Keras Lambdas mit
np.array([1,2,3,4,5,6,7,8,9,10,11,12]).reshape(2,3,2)
array([[[ 1, 2],
[ 3, 4],
[ 5, 6]],
[[ 7, 8],
[ 9, 10],
[11, 12]]])
und
np.array([1,2,3,4,5,6,7,8,9,10,11,12]).reshape(2,3,2)
array([[ 1, 1],
[-1, -1],
[ 1, -1]])
Was ich
np.einsum('kmn, mk -> mn', input_a, input_b)
array([[ 15, 18],
[ 45, 52],
[ 91, 102]])
Wie übersetzen diese Lambda erreichen wollen Schichten in Keras
Was Ich habe bisher versucht
def tensor_product(x):
input_a = x[0]
input_b = x[1]
y = np.einsum('kmn, mk -> mn', input_a, input_b)
return y
dim_a = Input(shape=(2,))
dim_b = Input(shape=(2,2,))
layer_3 = Lambda(tensor_product, output_shape=(2,))([dim_a, dim_b])
model = Model(inputs=[input_a, input_b], outputs=layer_3)
Danke