65e4f94e45f32d9cbe99337d74ed9c1ebad3412a,keras/layers/core.py,AutoEncoder,get_output,#AutoEncoder#Any#,359

Before Change

        decode = 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 decode

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

After Change

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

        decode = self.decoders[-1].get_output(train)

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

Instances