# 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()