code: def read_mat_ark(file_or_fd: Any) -> Iterable[Tuple[str, Tensor]]:
      r"""Create generator of (key,matrix<float32/float64>) tuples, which reads from the ark file/stream.
  
      Args:
          file_or_fd (str/FileDescriptor): ark, gzipped ark, pipe or opened file descriptor
  
      Returns:
          Iterable[Tuple[str, Tensor]]: The string is the key and the tensor is the matrix read from file
  
      Example
          >>> # read ark to a 'dictionary'
          >>> d = { u:d for u,d in torchaudio.kaldi_io.read_mat_ark(file) }
      """
  
      import kaldi_io
  
      return _convert_method_output_to_tensor(
          file_or_fd, kaldi_io.read_mat_ark
      )
  
file_path: audio/src/torchaudio/kaldi_io.py
imports: from typing import Any, Callable, Iterable, Tuple
  import torch
  from torch import Tensor
  from torchaudio._internal import module_utils
label_desc: Use image node_id 6 for calling a global function with example usage: read_mat_ark(file_or_fd) and returns: _convert_method_output_to_tensor