File size: 2,874 Bytes
fc0f7bd | 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 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | # Copyright 2019 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 `update.py`."""
from absl.testing import absltest
import chex
import jax
import jax.numpy as jnp
from optax._src import update
class UpdateTest(chex.TestCase):
@chex.all_variants
def test_apply_updates(self):
params = ({'a': jnp.ones((3, 2))}, jnp.ones((1,)))
grads = jax.tree_util.tree_map(lambda t: 2 * t, params)
exp_params = jax.tree_util.tree_map(lambda t: 3 * t, params)
new_params = self.variant(update.apply_updates)(params, grads)
chex.assert_trees_all_close(
exp_params, new_params, atol=1e-10, rtol=1e-5)
@chex.all_variants
def test_apply_updates_mixed_precision(self):
params = (
{'a': jnp.ones((3, 2), dtype=jnp.bfloat16)},
jnp.ones((1,), dtype=jnp.bfloat16))
grads = jax.tree_util.tree_map(
lambda t: (2 * t).astype(jnp.float32), params)
new_params = self.variant(update.apply_updates)(params, grads)
for leaf in jax.tree_util.tree_leaves(new_params):
assert leaf.dtype == jnp.bfloat16
@chex.all_variants
def test_incremental_update(self):
params_1 = ({'a': jnp.ones((3, 2))}, jnp.ones((1,)))
params_2 = jax.tree_util.tree_map(lambda t: 2 * t, params_1)
exp_params = jax.tree_util.tree_map(lambda t: 1.5 * t, params_1)
new_params = self.variant(
update.incremental_update)(params_2, params_1, 0.5)
chex.assert_trees_all_close(
exp_params, new_params, atol=1e-10, rtol=1e-5)
@chex.all_variants
def test_periodic_update(self):
params_1 = ({'a': jnp.ones((3, 2))}, jnp.ones((1,)))
params_2 = jax.tree_util.tree_map(lambda t: 2 * t, params_1)
update_period = 5
update_fn = self.variant(update.periodic_update)
for j in range(3):
for i in range(1, update_period):
new_params = update_fn(
params_2, params_1, j*update_period+i, update_period)
chex.assert_trees_all_close(
params_1, new_params, atol=1e-10, rtol=1e-5)
new_params = update_fn(
params_2, params_1, (j+1)*update_period, update_period)
chex.assert_trees_all_close(
params_2, new_params, atol=1e-10, rtol=1e-5)
if __name__ == '__main__':
absltest.main()
|