mirror of
https://github.com/google-deepmind/deepmind-research.git
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David Pfau
83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
# Copyright 2020 DeepMind Technologies Limited.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for the Geometric Manifold Component Estimator (GEOMANCER)."""
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from absl.testing import absltest
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from absl.testing import parameterized
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import numpy as np
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from geomancer import geomancer
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class GeomancerTest(parameterized.TestCase):
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@parameterized.parameters(
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{'zero_trace': False},
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{'zero_trace': True})
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def test_sym_op(self, zero_trace):
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"""sym_op on tril(X) gives same result as QXQ' for symmetric X?"""
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n = 5
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x = np.random.randn(n, n)
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x += x.T
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if zero_trace:
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np.fill_diagonal(x, np.diag(x)-np.trace(x)/n)
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q, _ = np.linalg.qr(np.random.randn(n, n))
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sym_q = geomancer.sym_op(q, zero_trace=zero_trace)
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tril_x = x[np.tril_indices(n)]
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if zero_trace:
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tril_x = tril_x[:-1]
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vec_y = sym_q @ tril_x
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y = q @ x @ q.T
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y_ = geomancer.vec_to_sym(vec_y, n, zero_trace=zero_trace)
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np.testing.assert_allclose(y_, y)
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def test_ffdiag(self):
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k = 2
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n = 5
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w, _ = np.linalg.qr(np.random.randn(n, n))
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psi = np.random.randn(k, n)
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a = np.zeros((k, n, n))
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for i in range(k):
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a[i] = w @ np.diag(psi[i]) @ w.T
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w_ = geomancer.ffdiag(a)
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for i in range(k):
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x = w_ @ a[i] @ w_.T
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diag = np.diag(x).copy()
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np.fill_diagonal(x, 1.0)
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# check that x is diagonal
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np.testing.assert_allclose(x, np.eye(n), rtol=1e-10, atol=1e-10)
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self.assertTrue(np.all(np.min(
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np.abs(diag[None, :] - psi[i][:, None]), axis=0) < 1e-10))
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def test_make_nearest_neighbor_graph(self):
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n = 100
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# make points on a circle
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data = np.zeros((n, 2))
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for i in range(n):
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data[i, 0] = np.sin(i*2*np.pi/n)
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data[i, 1] = np.cos(i*2*np.pi/n)
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graph = geomancer.make_nearest_neighbors_graph(data, 4, n=10)
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for i in range(n):
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self.assertLen(graph.rows[i], 4)
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self.assertIn((i+1) % n, graph.rows[i])
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self.assertIn((i+2) % n, graph.rows[i])
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self.assertIn((i-1) % n, graph.rows[i])
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self.assertIn((i-2) % n, graph.rows[i])
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if __name__ == '__main__':
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absltest.main()
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