class_docstr: Test the correctness of `sox_io_backend.load` for various formats
docstr: `sox_io_backend.load` can load amb format correctly.
code: def test_amb(self, dtype, sample_rate, num_channels, normalize):
      """`sox_io_backend.load` can load amb format correctly."""
      bit_depth = sox_utils.get_bit_depth(dtype)
      encoding = sox_utils.get_encoding(dtype)
      self.assert_format(
          "amb",
          sample_rate,
          num_channels,
          bit_depth=bit_depth,
          duration=1,
          encoding=encoding,
          normalize=normalize,
      )
  
imports: import itertools
  from functools import partial
  import torch
  from parameterized import parameterized
  from torchaudio._backend.utils import get_load_func
  from torchaudio_unittest.common_utils import get_asset_path, get_wav_data, load_wav, nested_params, PytorchTestCase, save_wav, skipIfNoExec, skipIfNoSox, skipIfNoSoxDecoder, sox_utils, TempDirMixin
  from .common import name_func
label_desc: Use image node_id 11 for calling the TestLoad obj's underlying member method code with example usage: obj.test_amb(dtype, sample_rate, num_channels, normalize) without return types