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dmlc--dgl/tests/python/common/test_merge.py
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2026-07-13 13:35:51 +08:00

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Python

import backend as F
import dgl
from utils import parametrize_idtype
@parametrize_idtype
def test_heterograph_merge(idtype):
g1 = (
dgl.heterograph({("a", "to", "b"): ([0, 1], [1, 0])})
.astype(idtype)
.to(F.ctx())
)
g1_n_edges = g1.num_edges(etype="to")
g1.nodes["a"].data["nh"] = F.randn((2, 3))
g1.nodes["b"].data["nh"] = F.randn((2, 3))
g1.edges["to"].data["eh"] = F.randn((2, 3))
g2 = (
dgl.heterograph({("a", "to", "b"): ([1, 2, 3], [2, 3, 5])})
.astype(idtype)
.to(F.ctx())
)
g2.nodes["a"].data["nh"] = F.randn((4, 3))
g2.nodes["b"].data["nh"] = F.randn((6, 3))
g2.edges["to"].data["eh"] = F.randn((3, 3))
g2.add_nodes(3, ntype="a")
g2.add_nodes(3, ntype="b")
m = dgl.merge([g1, g2])
# Check g2's edges and nodes were added to g1's in m.
m_us = F.asnumpy(m.edges()[0][g1_n_edges:])
g2_us = F.asnumpy(g2.edges()[0])
assert all(m_us == g2_us)
m_vs = F.asnumpy(m.edges()[1][g1_n_edges:])
g2_vs = F.asnumpy(g2.edges()[1])
assert all(m_vs == g2_vs)
for ntype in m.ntypes:
assert m.num_nodes(ntype=ntype) == max(
g1.num_nodes(ntype=ntype), g2.num_nodes(ntype=ntype)
)
# Check g1's node data was updated with g2's in m.
for key in m.nodes[ntype].data:
g2_n_nodes = g2.num_nodes(ntype=ntype)
updated_g1_ndata = F.asnumpy(m.nodes[ntype].data[key][:g2_n_nodes])
g2_ndata = F.asnumpy(g2.nodes[ntype].data[key])
assert all((updated_g1_ndata == g2_ndata).flatten())
# Check g1's edge data was updated with g2's in m.
for key in m.edges["to"].data:
updated_g1_edata = F.asnumpy(m.edges["to"].data[key][g1_n_edges:])
g2_edata = F.asnumpy(g2.edges["to"].data[key])
assert all((updated_g1_edata == g2_edata).flatten())