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09d8e80 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | # Copyright 2021 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.
# ==============================================================================
"""Tests for optax.tree_utils._casting."""
from absl.testing import absltest
from absl.testing import parameterized
from jax import tree_util as jtu
import jax.numpy as jnp
import numpy as np
from optax import tree_utils as otu
class CastingTest(parameterized.TestCase):
@parameterized.parameters([
(jnp.float32, [1.3, 2.001, 3.6], [-3.3], [1.3, 2.001, 3.6], [-3.3]),
(jnp.float32, [1.3, 2.001, 3.6], [-3], [1.3, 2.001, 3.6], [-3.0]),
(jnp.int32, [1.3, 2.001, 3.6], [-3.3], [1, 2, 3], [-3]),
(jnp.int32, [1.3, 2.001, 3.6], [-3], [1, 2, 3], [-3]),
(None, [1.123, 2.33], [0.0], [1.123, 2.33], [0.0]),
(None, [1, 2, 3], [0.0], [1, 2, 3], [0.0]),
])
def test_tree_cast(self, dtype, b, c, new_b, new_c):
def _build_tree(val1, val2):
dict_tree = {'a': {'b': jnp.array(val1)}, 'c': jnp.array(val2)}
return jtu.tree_map(lambda x: x, dict_tree)
tree = _build_tree(b, c)
tree = otu.tree_cast(tree, dtype=dtype)
jtu.tree_map(
np.testing.assert_array_equal, tree, _build_tree(new_b, new_c)
)
if __name__ == '__main__':
absltest.main()
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