code: def get_go_frame(self, memory):
      B = memory.size(0)
      decoder_input = Variable(
          memory.data.new(
              B, self.n_mel_channels * self.n_frames_per_step
          ).zero_()
      )
      return decoder_input
  
imports: import torch
  from torch.autograd import Variable
  from torch.nn import functional
  from nemo.collections.tts.modules.submodules import Attention, ConvNorm, LinearNorm, Prenet
  from nemo.collections.tts.parts.utils.helpers import get_mask_from_lengths
  from nemo.core.classes import NeuralModule, typecheck
  from nemo.core.neural_types.elements import EmbeddedTextType, LengthsType, LogitsType, MelSpectrogramType, SequenceToSequenceAlignmentType
  from nemo.core.neural_types.neural_type import NeuralType
  from nemo.utils import logging
label_desc: Use image node_id 5 for calling the Decoder obj's underlying member method code with example usage: obj.get_go_frame(memory) and returns: decoder_input