class_docstr: Variational entropy-constrained vector quantization model.
code: def quantize(self, x):
      rates, distortions = self.all_rd(x)
      all_rd = rates + self.lmbda * distortions
      indexes = tf.argmin(all_rd, axis=-1, output_type=tf.int32)
      return self.codebook, rates, indexes
  
file_path: compression/models/toy_sources/vecvq.py
imports: import tensorflow
  from toy_sources import compression_model
label_desc: Use image node_id 4 for calling the VECVQModel obj's underlying member method code with example usage: obj.quantize(x) and returns: self,  rates,  indexes