2767c948afa434f863df3b5eb1946a032dfba588,spotlight/sequence/representations.py,CNNNet,user_representation,#CNNNet#,324

Before Change

                                     (dilation - 1))

            x = F.pad(x, (0, 0, receptive_field_width - 1, 0))
            x = F.tanh(cnn_layer(x))

        x = x.squeeze(3)

        return x[:, :, :-1], x[:, :, -1]

After Change

                         (0, 0, 1, 0))
        x = F.pad(sequence_embeddings,
                  (0, 0, receptive_field_width, 0))
        x = F.tanh(self.cnn_layers[0](x)) + residual

        for (cnn_layer, kernel_width, dilation) in zip(self.cnn_layers[1:],
                                                       self.kernel_width[1:],
                                                       self.dilation[1:]):
            receptive_field_width = (kernel_width +
                                     (kernel_width - 1) *
                                     (dilation - 1))
            residual = x
            x = F.pad(x, (0, 0, receptive_field_width - 1, 0))
            x = F.tanh(cnn_layer(x)) + residual

        x = x.squeeze(3)

Instances