Module: TorchAudio

Defined in:
lib/torchaudio.rb,
lib/torchaudio/version.rb,
lib/torchaudio/datasets/utils.rb,
lib/torchaudio/datasets/yesno.rb

Defined Under Namespace

Modules: Datasets Classes: Error

Constant Summary collapse

VERSION = 
"0.1.0"

Class Method Summary collapse

Class Method Details

.load(filepath, out: nil, normalization: true, channels_first: true, num_frames: 0, offset: 0, signalinfo: nil, encodinginfo: nil, filetype: nil) ⇒ Object 



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# File 'lib/torchaudio.rb', line 23

def load(
  filepath, out: nil, normalization: true, channels_first: true, num_frames: 0,
  offset: 0, signalinfo: nil, encodinginfo: nil, filetype: nil
)

  filepath = filepath.to_s

  # check if valid file
  unless File.exist?(filepath)
    raise ArgumentError, "#{filepath} not found or is a directory"
  end

  # initialize output tensor
  if !out.nil?
    check_input(out)
  else
    out = Torch::FloatTensor.new
  end

  if num_frames < -1
    raise ArgumentError, "Expected value for num_samples -1 (entire file) or >=0"
  end
  if offset < 0
    raise ArgumentError, "Expected positive offset value"
  end

  # same logic as C++
  # could also make read_audio_file work with nil
  filetype ||= File.extname(filepath)[1..-1]

  sample_rate =
    Ext.read_audio_file(
      filepath,
      out,
      channels_first,
      num_frames,
      offset,
      signalinfo,
      encodinginfo,
      filetype
    )

  # normalize if needed
  normalize_audio(out, normalization)

  [out, sample_rate]
end

.load_wav(filepath, **kwargs) ⇒ Object 



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# File 'lib/torchaudio.rb', line 71

def load_wav(filepath, **kwargs)
  kwargs[:normalization] = 1 << 16
  load(filepath, **kwargs)
end