chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,90 @@
|
||||
import unittest
|
||||
|
||||
import backend as F
|
||||
|
||||
import dgl
|
||||
|
||||
|
||||
@unittest.skipIf(
|
||||
F._default_context_str == "gpu",
|
||||
reason="Datasets don't need to be tested on GPU.",
|
||||
)
|
||||
@unittest.skipIf(
|
||||
dgl.backend.backend_name != "pytorch", reason="only supports pytorch"
|
||||
)
|
||||
def test_chameleon():
|
||||
transform = dgl.AddSelfLoop(allow_duplicate=True)
|
||||
|
||||
g = dgl.data.ChameleonDataset(force_reload=True)[0]
|
||||
assert g.num_nodes() == 2277
|
||||
assert g.num_edges() == 36101
|
||||
g2 = dgl.data.ChameleonDataset(force_reload=True, transform=transform)[0]
|
||||
assert g2.num_edges() - g.num_edges() == g.num_nodes()
|
||||
|
||||
|
||||
@unittest.skipIf(
|
||||
F._default_context_str == "gpu",
|
||||
reason="Datasets don't need to be tested on GPU.",
|
||||
)
|
||||
@unittest.skipIf(
|
||||
dgl.backend.backend_name != "pytorch", reason="only supports pytorch"
|
||||
)
|
||||
def test_squirrel():
|
||||
transform = dgl.AddSelfLoop(allow_duplicate=True)
|
||||
|
||||
g = dgl.data.SquirrelDataset(force_reload=True)[0]
|
||||
assert g.num_nodes() == 5201
|
||||
assert g.num_edges() == 217073
|
||||
g2 = dgl.data.SquirrelDataset(force_reload=True, transform=transform)[0]
|
||||
assert g2.num_edges() - g.num_edges() == g.num_nodes()
|
||||
|
||||
|
||||
@unittest.skipIf(
|
||||
F._default_context_str == "gpu",
|
||||
reason="Datasets don't need to be tested on GPU.",
|
||||
)
|
||||
@unittest.skipIf(
|
||||
dgl.backend.backend_name != "pytorch", reason="only supports pytorch"
|
||||
)
|
||||
def test_cornell():
|
||||
transform = dgl.AddSelfLoop(allow_duplicate=True)
|
||||
|
||||
g = dgl.data.CornellDataset(force_reload=True)[0]
|
||||
assert g.num_nodes() == 183
|
||||
assert g.num_edges() == 298
|
||||
g2 = dgl.data.CornellDataset(force_reload=True, transform=transform)[0]
|
||||
assert g2.num_edges() - g.num_edges() == g.num_nodes()
|
||||
|
||||
|
||||
@unittest.skipIf(
|
||||
F._default_context_str == "gpu",
|
||||
reason="Datasets don't need to be tested on GPU.",
|
||||
)
|
||||
@unittest.skipIf(
|
||||
dgl.backend.backend_name != "pytorch", reason="only supports pytorch"
|
||||
)
|
||||
def test_texas():
|
||||
transform = dgl.AddSelfLoop(allow_duplicate=True)
|
||||
|
||||
g = dgl.data.TexasDataset(force_reload=True)[0]
|
||||
assert g.num_nodes() == 183
|
||||
assert g.num_edges() == 325
|
||||
g2 = dgl.data.TexasDataset(force_reload=True, transform=transform)[0]
|
||||
assert g2.num_edges() - g.num_edges() == g.num_nodes()
|
||||
|
||||
|
||||
@unittest.skipIf(
|
||||
F._default_context_str == "gpu",
|
||||
reason="Datasets don't need to be tested on GPU.",
|
||||
)
|
||||
@unittest.skipIf(
|
||||
dgl.backend.backend_name != "pytorch", reason="only supports pytorch"
|
||||
)
|
||||
def test_wisconsin():
|
||||
transform = dgl.AddSelfLoop(allow_duplicate=True)
|
||||
|
||||
g = dgl.data.WisconsinDataset(force_reload=True)[0]
|
||||
assert g.num_nodes() == 251
|
||||
assert g.num_edges() == 515
|
||||
g2 = dgl.data.WisconsinDataset(force_reload=True, transform=transform)[0]
|
||||
assert g2.num_edges() - g.num_edges() == g.num_nodes()
|
||||
Reference in New Issue
Block a user