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# Copyright 2019 The TensorFlow Authors. 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.
# ==============================================================================
"""The ALBERT configurations."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import six
from official.nlp.bert import configs
class AlbertConfig(configs.BertConfig):
"""Configuration for `ALBERT`."""
def __init__(self,
num_hidden_groups=1,
inner_group_num=1,
**kwargs):
"""Constructs AlbertConfig.
Args:
num_hidden_groups: Number of group for the hidden layers, parameters in
the same group are shared. Note that this value and also the following
'inner_group_num' has to be 1 for now, because all released ALBERT
models set them to 1. We may support arbitary valid values in future.
inner_group_num: Number of inner repetition of attention and ffn.
**kwargs: The remaining arguments are the same as above 'BertConfig'.
"""
super(AlbertConfig, self).__init__(**kwargs)
# TODO(chendouble): 'inner_group_num' and 'num_hidden_groups' are always 1
# in the released ALBERT. Support other values in AlbertTransformerEncoder
# if needed.
if inner_group_num != 1 or num_hidden_groups != 1:
raise ValueError("We only support 'inner_group_num' and "
"'num_hidden_groups' as 1.")
@classmethod
def from_dict(cls, json_object):
"""Constructs a `AlbertConfig` from a Python dictionary of parameters."""
config = AlbertConfig(vocab_size=None)
for (key, value) in six.iteritems(json_object):
config.__dict__[key] = value
return config
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