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