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2026-07-13 13:35:51 +08:00

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Python

import io
import backend as F
import dgl.nn.pytorch as nn
import pytest
from utils import parametrize_idtype
from utils.graph_cases import get_cases
tmp_buffer = io.BytesIO()
@parametrize_idtype
@pytest.mark.parametrize("g", get_cases(["homo"], exclude=["zero-degree"]))
def test_gatedgcn_conv(g, idtype):
ctx = F.ctx()
g = g.astype(idtype).to(ctx)
gatedgcnconv = nn.GatedGCNConv(10, 10, 5)
feat = F.randn((g.num_nodes(), 10))
efeat = F.randn((g.num_edges(), 10))
gatedgcnconv = gatedgcnconv.to(ctx)
h, edge_h = gatedgcnconv(g, feat, efeat)
# current we only do shape check
assert h.shape == (g.number_of_dst_nodes(), 5)
assert edge_h.shape == (g.number_of_edges(), 5)