File size: 1,646 Bytes
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 | # 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.
# ==============================================================================
"""Utilities to join schedules."""
from typing import Sequence
import chex
import jax.numpy as jnp
from optax._src import base
def join_schedules(
schedules: Sequence[base.Schedule],
boundaries: Sequence[int]
) -> base.Schedule:
"""Sequentially apply multiple schedules.
Args:
schedules: A list of callables (expected to be optax schedules). Each
schedule will receive a step count indicating the number of steps since
the previous boundary transition.
boundaries: A list of integers (of length one less than schedules) that
indicate when to transition between schedules.
Returns:
schedule: A function that maps step counts to values.
"""
def schedule(step: chex.Numeric) -> chex.Numeric:
output = schedules[0](step)
for boundary, schedule in zip(boundaries, schedules[1:]):
output = jnp.where(step < boundary, output, schedule(step - boundary))
return output
return schedule
|