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# Copyright 2022 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.

# Lint as: python3
"""Image classification configuration definition."""

import dataclasses
from typing import Optional

from official.modeling import hyperparams


@dataclasses.dataclass
class Quantization(hyperparams.Config):
  """Quantization parameters.

  Attributes:
    pretrained_original_checkpoint: A string indicate pretrained checkpoint
      location.
    change_num_bits: A `bool` indicates whether to manually allocate num_bits.
    num_bits_weight: An `int` number of bits for weight. Default to 8.
    num_bits_activation: An `int` number of bits for activation. Default to 8.
  """
  pretrained_original_checkpoint: Optional[str] = None
  change_num_bits: bool = False
  num_bits_weight: int = 8
  num_bits_activation: int = 8