# Copyright 2022 DeepMind Technologies Limited. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Unit tests for `evaluation.py`.""" from absl.testing import absltest from clrs._src import evaluation from clrs._src import probing from clrs._src import specs import jax import jax.numpy as jnp import numpy as np class EvaluationTest(absltest.TestCase): def test_reduce_permutations(self): b = 8 n = 16 pred = jnp.stack([jax.random.permutation(jax.random.PRNGKey(i), n) for i in range(b)]) heads = jax.random.randint(jax.random.PRNGKey(42), (b,), 0, n) perm = probing.DataPoint(name='test', type_=specs.Type.PERMUTATION_POINTER, location=specs.Location.NODE, data=jax.nn.one_hot(pred, n)) mask = probing.DataPoint(name='test_mask', type_=specs.Type.MASK_ONE, location=specs.Location.NODE, data=jax.nn.one_hot(heads, n)) output = evaluation.fuse_perm_and_mask(perm=perm, mask=mask) expected_output = np.array(pred) expected_output[np.arange(b), heads] = heads self.assertEqual(output.name, 'test') self.assertEqual(output.type_, specs.Type.POINTER) self.assertEqual(output.location, specs.Location.NODE) np.testing.assert_allclose(output.data, expected_output) if __name__ == '__main__': absltest.main()