ee179f7da155c3cb8129b954db828906886ad4e4,keras/layers/core.py,AutoEncoder,get_output,#AutoEncoder#Any#,402

Before Change

    def get_output(self, train):
        if not train and not self.output_reconstruction:
            return self._get_hidden(train)

        if self.tie_weights:
            for e,d in zip(self.encoders, self.decoders):
                map(self._tranpose_weights, e.get_weights(), d.get_weights())

After Change

        return self.encoder.get_output(train)

    def get_output(self, train):
        decoded = self.decoder.get_output(train)

        if self.tie_weights:
            encoder_params = self.encoder.get_weights()
            decoder_params = self.decoder.get_weights()
            for dec_param, enc_param in zip(decoder_params, encoder_params):
                if len(dec_param.shape) > 1:
                    enc_param = dec_param.T

        return decoded

    def get_config(self):
        return {"name":self.__class__.__name__,
                "encoder_config":self.encoder.get_config(),

Instances