class_docstr: QuantizeInfo.
class_docstr_tok: ["QuantizeInfo","."]
docstr: QuantizeInfo.
  
  Args:
    layer_type: Type of keras layer.
    weight_attrs: List of quantizable weight attributes of layer.
    activation_attrs: List of quantizable activation attributes of layer.
    quantize_output: Bool. Should we quantize the output of the layer.
docstr_tok: ["QuantizeInfo",".","Args",":","layer_type",":","Type","of","keras","layer",".","weight_attrs",":","List","of","quantizable","weight","attributes","of","layer",".","activation_attrs",":","List","of","quantizable","activation","attributes","of","layer",".","quantize_output",":","Bool",".","Should","we","quantize","the","output","of","the","layer","."]
code: def __init__(
      self,
      layer_type,
      weight_attrs,
      activation_attrs,
      quantize_output=False,
  ):
      """QuantizeInfo.
  
      Args:
        layer_type: Type of keras layer.
        weight_attrs: List of quantizable weight attributes of layer.
        activation_attrs: List of quantizable activation attributes of layer.
        quantize_output: Bool. Should we quantize the output of the layer.
      """
      self.layer_type = layer_type
      self.weight_attrs = weight_attrs
      self.activation_attrs = activation_attrs
      self.quantize_output = quantize_output
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_config
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_registry
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantize_configs
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantizers
label_desc: Use image node_id 1 to create a new _QuantizeInfo object from inherited base classes: object with example: obj = _QuantizeInfo(layer_type, weight_attrs, activation_attrs, quantize_output)