# coding=utf-8
# Copyright 2020 The HuggingFace Team 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.
"""
Sparse Fine-tuning the library models for question answering.
"""
# You can also adapt this script on your own question answering task. Pointers for this are left as comments.

from nn_pruning.sparse_trainer import SparseTrainer
from .qa_train import QATrainer

# SparseTrainer should appear first in the base classes, as its functions must override QATrainer and its base classes (Trainer)
class QASparseTrainer(SparseTrainer, QATrainer):
    def __init__(self, sparse_args, *args, **kwargs):
        QATrainer.__init__(self, *args, **kwargs)
        SparseTrainer.__init__(self, sparse_args)

[(27, 'nn_pruning.sparse_trainer.SparseTrainer.__init__', 'SparseTrainer.__init__', False, 'from nn_pruning.sparse_trainer import SparseTrainer\n')]