# Copyright 2022 The T5X Authors. # # 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. """Adafactor logical rules for Mixture of Experts models.""" from flax import core as flax_core from t5x import adafactor FactorDim = adafactor.FactorDim FrozenDict = flax_core.FrozenDict def logical_factor_rules() -> FrozenDict: """Logical factor rules for Mixture of Experts.""" rules = flax_core.unfreeze(adafactor.standard_logical_factor_rules()) rules.update({ 'expert': FactorDim.BATCH, 'expert_mlp': FactorDim.COLUMN, 'unmodeled': FactorDim.NONE }) return flax_core.freeze(rules)