sequence_encoders.py 文件源码

def __call__(self, x):
        """Build the actual model here.

        Args:
            x: The encoded or embedded input sequence.

        Returns:
            The model output tensor.
        """
        # Avoid mask propagation when dynamic mini-batches are not supported.
        if not self.allows_dynamic_length():
            x = ConsumeMask()(x)

        x = self.build_model(x)
        if self.dropout_rate > 0:
            x = Dropout(self.dropout_rate)(x)
        return x