class_docstr: MelGAN generator module.
docstr: Perform inference.
  
  Args:
      c (Tensor): Input tensor (T, in_channels).
  
  Returns:
      Tensor: Output tensor (T ** prod(upsample_scales), out_channels).
docstr_tok: ["Perform","inference",".","Args",":","c","(","Tensor",")",":","Input","tensor","(","T",",","in_channels",")",".","Returns",":","Tensor",":","Output","tensor","(","T","*","*","prod","(","upsample_scales",")",",","out_channels",")","."]
code: def inference(self, c: torch.Tensor) -> torch.Tensor:
      """Perform inference.
  
      Args:
          c (Tensor): Input tensor (T, in_channels).
  
      Returns:
          Tensor: Output tensor (T ** prod(upsample_scales), out_channels).
  
      """
      c = self.melgan(c.transpose(1, 0).unsqueeze(0))
      return c.squeeze(0).transpose(1, 0)
  
imports: import logging
  from typing import Any, Dict, List
  import numpy
  import torch
  from espnet2.gan_tts.melgan.residual_stack import ResidualStack
label_desc: Use image node_id 6 for calling the MelGANGenerator obj's underlying member method code with example usage: obj.inference(c) and returns: c