def create_random_bipartite():
g = dgl.rand_bipartite('user', 'buys', 'game', 500, 1000, 1000)
g.nodes['user'].data['feat'] = F.ones((g.num_nodes('user'), 10), F.float32,
F.cpu())
g.nodes['game'].data['feat'] = F.ones((g.num_nodes('game'), 10), F.float32,
F.cpu())
return g
'sum': lambda nodes: {
'v': F.sum(nodes.mailbox['m'], 1)
},
'min': lambda nodes: {
'v': F.min(nodes.mailbox['m'], 1)
},
'max': lambda nodes: {
'v': F.max(nodes.mailbox['m'], 1)
}
}
graphs = [
# dgl.rand_graph(30, 0),
dgl.rand_graph(100, 30),
dgl.rand_graph(100, 3000),
dgl.rand_bipartite(80, 160, 3000)
]
spmm_shapes = [((1, 2, 1, 3, 1), (4, 1, 3, 1, 1)),
((5, 3, 1, 7), (1, 3, 7, 1)), ((1, 3, 1), (4, 1, 3)),
((3, 3), (1, 3)), ((1, ), (3, )), ((3, ), (1, )),
((1, ), (1, ))]
sddmm_shapes = [((1, 2, 1, 3, 1), (4, 1, 3, 1, 1)),
((5, 3, 1, 7), (1, 3, 7, 7)), ((1, 3, 3), (4, 1, 3)),
((3, 3), (1, 3)), ((3, ), (3, )), ((1, ), (1, ))]
@pytest.mark.parametrize('g', graphs)
@pytest.mark.parametrize('shp', spmm_shapes)
@pytest.mark.parametrize('msg',
udf_reduce = {
'sum': lambda nodes: {
'v': F.sum(nodes.mailbox['m'], 1)
},
'min': lambda nodes: {
'v': F.min(nodes.mailbox['m'], 1)
},
'max': lambda nodes: {
'v': F.max(nodes.mailbox['m'], 1)
}
}
graphs = [
# dgl.rand_graph(30, 0),
dgl.rand_graph(30, 100),
dgl.rand_bipartite(30, 40, 300)
]
spmm_shapes = [((1, 2, 1, 3, 1), (4, 1, 3, 1, 1)), ((3, 3), (1, 3)),
((1, ), (3, )), ((3, ), (1, )), ((1, ), (1, ))]
sddmm_shapes = [((1, 2, 1, 3, 1), (4, 1, 3, 1, 1)),
((5, 3, 1, 7), (1, 3, 7, 7)), ((1, 3, 3), (4, 1, 3)),
((3, ), (3, )), ((1, ), (1, ))]
edge_softmax_shapes = [(1, ), (1, 3), (3, 4, 5)]
@pytest.mark.parametrize('g', graphs)
@pytest.mark.parametrize('shp', spmm_shapes)
@pytest.mark.parametrize('msg',
udf_reduce = {
'sum': lambda nodes: {
'v': F.sum(nodes.mailbox['m'], 1)
},
'min': lambda nodes: {
'v': F.min(nodes.mailbox['m'], 1)
},
'max': lambda nodes: {
'v': F.max(nodes.mailbox['m'], 1)
}
}
graphs = [
# dgl.rand_graph(30, 0),
dgl.rand_graph(30, 100),
dgl.rand_bipartite('_U', '_E', '_V', 30, 40, 300)
]
spmm_shapes = [((1, 2, 1, 3, 1), (4, 1, 3, 1, 1)), ((3, 3), (1, 3)),
((1, ), (3, )), ((3, ), (1, )), ((1, ), (1, )), ((), ())]
sddmm_shapes = [((1, 2, 1, 3, 1), (4, 1, 3, 1, 1)),
((5, 3, 1, 7), (1, 3, 7, 7)), ((1, 3, 3), (4, 1, 3)),
((3, ), (3, )), ((1, ), (1, ))]
edge_softmax_shapes = [(1, ), (1, 3), (3, 4, 5)]
@pytest.mark.parametrize('g', graphs)
@pytest.mark.parametrize('shp', spmm_shapes)
@pytest.mark.parametrize('msg',
