class_docstr: QuantizeConfig that quantizes output with fixed range.
class_docstr_tok: ["QuantizeConfig","that","quantizes","output","with","fixed","range","."]
code: def get_activations_and_quantizers(self, layer):
      activations_and_quantizers = (
          self.config.get_activations_and_quantizers(layer)
      )
      return [
          (activation, self.fixed_quantizer)
          for activation, _ in activations_and_quantizers
      ]
  
imports: import abc
  import six
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
label_desc: Use image node_id 4 for calling the FixedQuantizeConfig obj's underlying member method code with example usage: obj.get_activations_and_quantizers(layer) and returns: unknown