def METHOD_NAME(full_path, sr=None):
    data, sr = librosa.load(full_path, sr=sr)
    data = np.clip(data, -1, 1)  # potentially out of [-1, 1] due to resampling
    data = data * 32768.0  # match values loaded by scipy
    return torch.FloatTensor(data.astype(np.float32)), sr