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test_normalize

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Stanislaw Adaszewski 4 år sedan
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      tests/decagon_pytorch/test_normalize.py

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tests/decagon_pytorch/test_normalize.py Visa fil

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import decagon_pytorch.normalize
import decagon.deep.minibatch
import numpy as np
def test_normalize_adjacency_matrix_square():
mx = np.random.rand(10, 10)
mx[mx < .5] = 0
mx = np.ceil(mx)
res_torch = decagon_pytorch.normalize.normalize_adjacency_matrix(mx)
res_tf = decagon.deep.minibatch.EdgeMinibatchIterator.preprocess_graph(None, mx)
assert len(res_torch) == len(res_tf)
for i in range(len(res_torch)):
assert np.all(res_torch[i] == res_tf[i])
def test_normalize_adjacency_matrix_nonsquare():
mx = np.random.rand(5, 10)
mx[mx < .5] = 0
mx = np.ceil(mx)
res_torch = decagon_pytorch.normalize.normalize_adjacency_matrix(mx)
res_tf = decagon.deep.minibatch.EdgeMinibatchIterator.preprocess_graph(None, mx)
assert len(res_torch) == len(res_tf)
for i in range(len(res_torch)):
assert np.all(res_torch[i] == res_tf[i])

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