求助：推理报错Runtime Error

[shing-yu]

版本v2.3
Python版本3.11.5
Pytorch版本2.1.1+cu121
完整错误信息：

Traceback (most recent call last):
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\gradio\routes.py", line 534, in predict
    output = await route_utils.call_process_api(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\gradio\route_utils.py", line 226, in call_process_api
    output = await app.get_blocks().process_api(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\gradio\blocks.py", line 1550, in process_api
    result = await self.call_function(
             ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\gradio\blocks.py", line 1185, in call_function
    prediction = await anyio.to_thread.run_sync(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\anyio\to_thread.py", line 56, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\anyio\_backends\_asyncio.py", line 2177, in run_sync_in_worker_thread
    return await future
           ^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\anyio\_backends\_asyncio.py", line 859, in run
    result = context.run(func, *args)
             ^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\gradio\utils.py", line 661, in wrapper
    response = f(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\webui.py", line 337, in tts_fn
    generate_audio(
  File "G:\AIGC\Bert-VITS2\webui.py", line 54, in generate_audio
    audio = infer(
            ^^^^^^
  File "G:\AIGC\Bert-VITS2\infer.py", line 227, in infer
    net_g.infer(
  File "G:\AIGC\Bert-VITS2\models.py", line 1019, in infer
    x, m_p, logs_p, x_mask, _ = self.enc_p(
                                ^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\models.py", line 414, in forward
    x = self.encoder(x * x_mask, x_mask, g=g)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\attentions.py", line 112, in forward
    y = self.attn_layers[i](x, x, attn_mask)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\attentions.py", line 264, in forward
    q = self.conv_q(x)
        ^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\conv.py", line 310, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "G:\AIGC\Bert-VITS2\venv\Lib\site-packages\torch\nn\modules\conv.py", line 306, in _conv_forward
    return F.conv1d(input, weight, bias, self.stride,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Expected 2D (unbatched) or 3D (batched) input to conv1d, but got input of size: [1, 192, 21, 21]

[zziC7]

Hello, I have encountered the same problem, may I ask if your problem has been solved?