code: def test_get_frequency_aware_conv2d(data_format):
      shape = (4, 10, 5, 3)
      x = tf.random.normal(shape, dtype=tf.float32)
  
      freq_aware_conv2d = get_frequency_aware_conv2d(
          data_format, "freq_aware_conv2d", 4, (3, 3), strides=(2, 2)
      )
      if (
          data_format != "channels_first"
      ):  # because on cpu, channel_first conv doesn't work in typical tensorflow.
          _ = freq_aware_conv2d(x)
  
imports: import pytest
  import numpy
  import tensorflow
  import tensorflow.keras
  import librosa
  from kapre import STFT, Magnitude, Phase, Delta, InverseSTFT, ApplyFilterbank, ConcatenateFrequencyMap, STFTTflite, MagnitudeTflite, PhaseTflite
  from kapre.composed import get_melspectrogram_layer, get_log_frequency_spectrogram_layer, get_stft_mag_phase, get_perfectly_reconstructing_stft_istft, get_stft_magnitude_layer, get_frequency_aware_conv2d
  from utils import get_audio, save_load_compare, predict_using_tflite
label_desc: Use image node_id 17 for calling a global function with example usage: test_get_frequency_aware_conv2d(data_format) without return types