code: def test_STFTEncoder_float16_dtype(
      n_fft,
      win_length,
      hop_length,
      window,
      center,
      normalized,
      onesided,
      use_builtin_complex,
  ):
      encoder = STFTEncoder(
          n_fft=n_fft,
          win_length=win_length,
          hop_length=hop_length,
          window=window,
          center=center,
          normalized=normalized,
          onesided=onesided,
          use_builtin_complex=use_builtin_complex,
      )
  
      x = torch.rand(2, 32000, dtype=torch.float16, requires_grad=True)
      x_lens = torch.tensor([32000, 30000], dtype=torch.long)
      y, flens = encoder(x, x_lens)
      (y.real.pow(2) + y.imag.pow(2)).sum().backward()
  
imports: import pytest
  import torch
  from packaging.version import parse
  from espnet2.enh.encoder.stft_encoder import STFTEncoder
label_desc: Use image node_id 2 for calling a global function with example usage: test_STFTEncoder_float16_dtype(n_fft, win_length, hop_length, window, center, normalized, onesided, use_builtin_complex) without return types