class_docstr: Dummy quantizer do nothing.
class_docstr_tok: ["Dummy","quantizer","do","nothing","."]
docstr: Quantize tensor.
  
  Args:
    inputs: Input tensor to be quantized.
    training: Whether the graph is currently training.
    weights: Dictionary of weights the quantizer can use to quantize the
      tensor. This contains the weights created in the `build` function.
    **kwargs: Additional variables which may be passed to the quantizer.
  
  Returns:
    Quantized tensor.
code: def __call__(self, inputs, training, weights, **kwargs):
      """Quantize tensor.
  
      Args:
        inputs: Input tensor to be quantized.
        training: Whether the graph is currently training.
        weights: Dictionary of weights the quantizer can use to quantize the
          tensor. This contains the weights created in the `build` function.
        **kwargs: Additional variables which may be passed to the quantizer.
  
      Returns:
        Quantized tensor.
      """
      return inputs
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import six
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quant_ops
label_desc: Use image node_id 3 for calling the NoQuantizer obj's underlying member method code with example usage: obj.__call__(inputs, training, weights) and returns: inputs