class_docstr: Stores hyperparameters for initialization, batch norm and training.
class_docstr_tok: ["Stores","hyperparameters","for","initialization",",","batch","norm","and","training","."]
docstr: Returns the model architecture.
docstr_tok: ["Returns","the","model","architecture","."]
code: def get_conv_arch(self):
      """Returns the model architecture."""
      return Architecture.make(
          self.architecture,
          self.input_depth,
          self.num_layers,
          self.num_filters,
          self.num_pitches,
          self.output_depth,
          crop_piece_len=self.crop_piece_len,
          num_dilation_blocks=self.num_dilation_blocks,
          dilate_time_only=self.dilate_time_only,
          repeat_last_dilation_level=self.repeat_last_dilation_level,
          num_pointwise_splits=self.num_pointwise_splits,
          interleave_split_every_n_layers=self.interleave_split_every_n_layers,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  import os
  from magenta.models.coconet import lib_util
  import numpy
  import six
  import tensorflow.compat.v1
  import yaml
label_desc: Use image node_id 13 for calling the Hyperparameters obj's underlying member method code with example usage: obj.get_conv_arch() and returns: Architecture