================== u_add_e_mean ================== .. code-block:: python u_add_e_mean(rowptr, colind, edge_feature, node_feat) Generalized SpMM function. It fuses two steps into one kernel. 1. Computes messages by **add** source node and edge features. 2. Aggregate the messages by **mean** as the features on destination nodes. **Parameters:** - **rowptr** -row pointer in CSR format - **colind** -col indices of graph - **edge_feature** -the edge features - **node_feat** -the source node features **Returns:** The result tensor **Return type:** tensor