class_docstr: emotion dcrnn model 
class_docstr_tok: ["emotion","dcrnn","model"]
code: def model(self, inputs, input_text):
      x, downsample_time_len = self.conv_block(
          inputs, depthwise=self.depthwise
      )
      x = self.linear_block(x)
      x = self.lstm_layer(x)
      x = self.pooling_layer(x, downsample_time_len)
      if self.taskconf["text"]["enable"]:
          x = self.text_layer(x, input_text)
      x = self.dense_layer(x)
      logits = self.logits_layer(x)
      return logits
  
imports: from absl import logging
  import delta.compat
  from delta import utils
  from delta.layers import common_layers
  from delta.data.feat.tf_speech_feature import speech_params, extract_feature
  from delta.models.base_model import RawModel
  from delta.utils.register import registers
label_desc: Use image node_id 2 for calling the EmoDCRNNRawModel obj's underlying member method code with example usage: obj.model(inputs, input_text) and returns: logits