d02dff76c1e8fcfcff277a4ea0a65f9c8259605e,torchaudio/__init__.py,,load,#Any#Any#,9

Before Change

        func = th_sox.libthsox_Float_read_audio_file
    elif isinstance(out, torch.DoubleTensor):
        func = th_sox.libthsox_Double_read_audio_file
    elif isinstance(out, torch.ByteTensor):
        func = th_sox.libthsox_Byte_read_audio_file
    elif isinstance(out, torch.CharTensor):
        func = th_sox.libthsox_Char_read_audio_file
    elif isinstance(out, torch.ShortTensor):
        func = th_sox.libthsox_Short_read_audio_file
    elif isinstance(out, torch.IntTensor):
        func = th_sox.libthsox_Int_read_audio_file
    elif isinstance(out, torch.LongTensor):
        func = th_sox.libthsox_Long_read_audio_file
        
    sample_rate_p = ffi.new("int*")    
    func(bytes(filename), out, sample_rate_p)
    sample_rate = sample_rate_p[0]

After Change

        check_input(out)
    else:
        out = torch.FloatTensor()
    typename = type(out).__name__.replace("Tensor", "")
    func = getattr(th_sox, "libthsox_{}_read_audio_file".format(typename))
    sample_rate_p = ffi.new("int*")
    func(bytes(filename), out, sample_rate_p)
    sample_rate = sample_rate_p[0]
    return out, sample_rate

Instances