text: #
  # Copyright 2016 The BigDL 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.
  #
  
  
  def QuantizationINC(framework: str,
                      conf='',
                      approach='post_training_static_quant',
                      tuning_strategy='bayesian',
                      accuracy_criterion: dict = None,
                      timeout=0,
                      max_trials=1,
                      inputs=None,
                      outputs=None):
      from .core import QuantizationINC as Quantization
      return Quantization(framework, conf, approach, tuning_strategy, accuracy_criterion,
                          timeout, max_trials, inputs, outputs)
  
  
  def check_pytorch_dataloaders(model, loaders):
      from .pytorch.dataloader import check_loaders
      return check_loaders(model, loaders)
  
  
  def tf_dataset_to_inc_dataloader(tf_dataset, batchsize):
      from neural_compressor.experimental import common
      return common.DataLoader(tf_dataset, batchsize)
  