| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051 |
- # Copyright (c) 2021 PaddlePaddle 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.
- from __future__ import absolute_import
- from __future__ import division
- from __future__ import print_function
- from paddle.utils import try_import
- from paddlex.ppdet.core.workspace import register, serializable
- from paddlex.ppdet.utils.logger import setup_logger
- logger = setup_logger(__name__)
- @register
- @serializable
- class QAT(object):
- def __init__(self, quant_config, print_model):
- super(QAT, self).__init__()
- self.quant_config = quant_config
- self.print_model = print_model
- def __call__(self, model):
- paddleslim = try_import('paddleslim')
- self.quanter = paddleslim.dygraph.quant.QAT(config=self.quant_config)
- if self.print_model:
- logger.info("Model before quant:")
- logger.info(model)
- self.quanter.quantize(model)
- if self.print_model:
- logger.info("Quantized model:")
- logger.info(model)
- return model
- def save_quantized_model(self, layer, path, input_spec=None, **config):
- self.quanter.save_quantized_model(
- model=layer, path=path, input_spec=input_spec, **config)
|