14a9d386baf93b8266fa21277b40d669a4e397d2,pyannote/audio/embedding/models.py,TristouNet,__call__,#TristouNet#Any#,83

Before Change

        // stack final dense layer
        if self.space == "sphere":
            activation = "tanh"
        elif self.space == "quadrant":
            activation = "sigmoid"
        x = Dense(self.output_dim, activation=activation)(x)

        // stack L2 normalization layer
        embeddings = Lambda(lambda x: K.l2_normalize(x, axis=-1),

After Change

            x = mlp(x)

        // stack L2 normalization layer
        normalize = Lambda(lambda x: K.l2_normalize(x, axis=-1),
                           name="normalize")
        embeddings = normalize(x)

        return Model(input=inputs, output=embeddings)

Instances