feature_column.py 文件源码

def _wide_embedding_lookup_arguments(self, input_tensor):
    return _LinearEmbeddingLookupArguments(
        input_tensor=self.id_tensor(input_tensor),
        weight_tensor=self.weight_tensor(input_tensor),
        vocab_size=self.length,
        initializer=init_ops.zeros_initializer(),
        combiner=self.sparse_id_column.combiner)