feature_column.py 文件源码

def _to_embedding_lookup_arguments(self, input_tensor):
    return _EmbeddingLookupArguments(
        input_tensor=self.to_sparse_tensor(input_tensor),
        weight_tensor=None,
        vocab_size=self.length * self.source_column.dimension,
        initializer=init_ops.zeros_initializer,
        combiner="sum")