dmlc--dgl
Quan (Andy) Gan
49 行
1.2 KiB
Python
49 行
1.2 KiB
Python
import torch as th
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import dgl.nn
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from dgl.geometry.pytorch import FarthestPointSampler
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import backend as F
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import numpy as np
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def test_fps():
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N = 1000
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batch_size = 5
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sample_points = 10
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x = th.tensor(np.random.uniform(size=(batch_size, int(N/batch_size), 3)))
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ctx = F.ctx()
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if F.gpu_ctx():
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x = x.to(ctx)
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fps = FarthestPointSampler(sample_points)
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res = fps(x)
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assert res.shape[0] == batch_size
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assert res.shape[1] == sample_points
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assert res.sum() > 0
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def test_knn():
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x = th.randn(8, 3)
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kg = dgl.nn.KNNGraph(3)
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d = th.cdist(x, x)
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def check_knn(g, x, start, end):
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for v in range(start, end):
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src, _ = g.in_edges(v)
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src = set(src.numpy())
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i = v - start
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src_ans = set(th.topk(d[start:end, start:end][i], 3, largest=False)[1].numpy() + start)
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assert src == src_ans
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g = kg(x)
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check_knn(g, x, 0, 8)
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g = kg(x.view(2, 4, 3))
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check_knn(g, x, 0, 4)
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check_knn(g, x, 4, 8)
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kg = dgl.nn.SegmentedKNNGraph(3)
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g = kg(x, [3, 5])
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check_knn(g, x, 0, 3)
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check_knn(g, x, 3, 8)
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if __name__ == '__main__':
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test_fps()
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test_knn()
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