feature_column.py 文件源码

def to_weighted_sum(self,
                      input_tensor,
                      num_outputs=1,
                      weight_collections=None,
                      trainable=True):
    """Returns a Tensor as linear predictions and a list of created Variable."""
    return _create_embedding_lookup(
        input_tensor=self.to_sparse_tensor(input_tensor),
        weight_tensor=None,
        vocab_size=self.length * self.source_column.dimension,
        dimension=num_outputs,
        weight_collections=_add_variable_collection(weight_collections),
        initializer=init_ops.zeros_initializer,
        combiner="sum",
        trainable=trainable)