class_docstr: MLP decoder to decode latent codes to hyperplane parameters.
class_docstr_tok: ["MLP","decoder","to","decode","latent","codes","to","hyperplane","parameters","."]
code: def call(self, x, training):
      return self._decoder(x, training=training)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow.compat.v1
  from tensorflow_graphics.projects.cvxnet.lib import resnet
label_desc: Use image node_id 2 for calling the Decoder obj's underlying member method code with example usage: obj.call(x, training) and returns: self