mirror of
https://github.com/wassname/Flex-Convolution.git
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67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# Copyright 2017 ComputerGraphics Tuebingen. All Rights Reserved.
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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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# ==============================================================================
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# Authors: Fabian Groh, Patrick Wieschollek, Hendrik P.A. Lensch
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from misc import FakePointCloud, VerboseTestCase
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import tensorflow as tf
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import numpy as np
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from scipy.spatial.distance import pdist, squareform
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from __init__ import knn_bruteforce
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case = FakePointCloud(B=2, N=32, K=4, Din=2, Dout=6, Dp=3)
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case = FakePointCloud(B=1, N=4, K=2, Din=1, Dout=1, Dp=3)
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def python_bruteforce(positions, K):
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# B, Dpos, N
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all_neighbors = []
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all_distances = []
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for batch in positions:
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distances = squareform(pdist(batch.T, 'euclidean'))
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all_neighbors.append(np.argsort(distances, axis=1)[:, :K])
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all_distances.append(np.sort(distances, axis=1)[:, :K])
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return np.array(all_neighbors), np.array(all_distances)
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class KnnBruteforceTest(VerboseTestCase):
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def __init__(self, methodName="runTest"):
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super(KnnBruteforceTest, self).__init__(methodName)
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def _forward(self, use_gpu=False):
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case.init_ops()
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expected_nn, expected_dist = python_bruteforce(case.position, K=4)
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with self.test_session(use_gpu=use_gpu, force_gpu=use_gpu) as sess:
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actual_nn, actual_dist, _ = knn_bruteforce(case.position_op, K=4)
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actual_nn, actual_dist = sess.run([actual_nn, actual_dist])
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self.assertAllClose(expected_dist, actual_dist)
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self.assertAllClose(expected_nn, actual_nn)
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def test_forward_cpu(self):
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self._forward(use_gpu=False)
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def test_forward_gpu(self):
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self._forward(use_gpu=True)
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if __name__ == '__main__':
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tf.test.main()
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