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# 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) | |