dgl.ops.e_div_u

dgl.ops.e_div_u(g, x, y)

Generalized SDDMM function. It computes edge features by div edge features and source node features.

Parameters:

• g (DGLGraph) – The input graph

• x (tensor) – The edge features.

• y (tensor) – The source node features.

Returns:

The result tensor.

Return type:

tensor

Notes

This function supports autograd (computing input gradients given the output gradient). If the feature shape of two input operands do not match, we first broadcasts the features to a unified shape (note that the memory usage will not increase accordingly) and then performs the operation.

Broadcasting follows NumPy semantics. Please see https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html for more details about the NumPy broadcasting semantics.