have installed CUDA ToolKit 8.0
pip install torch==1.0.1 -f https://download.pytorch.org/whl/cu80/torch_stable.html
Installed version 1.0.1 for CUDA 8.0 WINDOWS.
An error appears
Found GPU0 GeForce GT 630M which is of cuda capability 2.1.
    PyTorch no longer supports this GPU because it is too old.

  warnings.warn(old_gpu_warn % (d, name, major, capability[1]))
Found 1 GPUs available. Using GPU 0 (GeForce GT 630M) of compute capability 2.1 with 2.1Gb total memory.

Preparing the encoder, the synthesizer and the vocoder...
Traceback (most recent call last):
  File "demo_cli.py", line 61, in <module>
    encoder.load_model(args.enc_model_fpath)
  File "C:\Users\kisel\Desktop\Real-Time-Voice-Cloning-master\encoder\inference.py", line 32, in load_model
    _model = SpeakerEncoder(_device, torch.device("cpu"))
  File "C:\Users\kisel\Desktop\Real-Time-Voice-Cloning-master\encoder\model.py", line 21, in __init__
    batch_first=True).to(device)
  File "C:\Users\kisel\anaconda3\envs\TestVoice\lib\site-packages\torch\nn\modules\module.py", line 381, in to
    return self._apply(convert)
  File "C:\Users\kisel\anaconda3\envs\TestVoice\lib\site-packages\torch\nn\modules\rnn.py", line 117, in _apply
    self.flatten_parameters()
  File "C:\Users\kisel\anaconda3\envs\TestVoice\lib\site-packages\torch\nn\modules\rnn.py", line 113, in flatten_parameters
    self.batch_first, bool(self.bidirectional))
RuntimeError: cuDNN error: CUDNN_STATUS_ARCH_MISMATCH

I really need support for 2.1 compute capability and version >= 1.0.1, please help!