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ZLUDA was able to emulate CUDA, but named symbol not found

#626Openspordniar 创建于 2026-03-24
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spordniarcommented
### zluda_trace logs (tarball/zip file) [ZLUDA_TRACE] cuModuleGetFunction(hfunc: 0x0, hmod: 0x2aca2d9b530, name: "_ZN2at6native29vectorized_elementwise_kernelILi4EZZZNS0_49_GLOBAL__N__97375e57_16_TensorCompare_cu_71e06f4e19launch_clamp_scalarERNS_18TensorIteratorBaseEN3c106ScalarES6_NS0_6detail11ClampLimitsEENKUlvE_clEvENKUlvE5_clEvEUlfE_St5arrayIPcLy2EEEEviT0_T1_") -> CUDA_ERROR_NOT_FOUND [ZLUDA_TRACE] cuDevicePrimaryCtxGetState(dev: 0, flags: 0, active: 1) -> CUDA_SUCCESS [ZLUDA_TRACE] cuCtxGetDevice(device: 0) -> CUDA_SUCCESS [ZLUDA_TRACE] cuDevicePrimaryCtxGetState(dev: 0, flags: 0, active: 1) -> CUDA_SUCCESS [ZLUDA_TRACE] cuCtxGetDevice(device: 0) -> CUDA_SUCCESS Traceback (most recent call last): File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\tools\asr\funasr_asr.py", line 86, in execute_asr text = model.generate(input=file_path)[0]["text"] File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\funasr\auto\auto_model.py", line 248, in generate return self.inference_with_vad(input, input_len=input_len, **cfg) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\funasr\auto\auto_model.py", line 319, in inference_with_vad res = self.inference( File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\funasr\auto\auto_model.py", line 285, in inference res = model.inference(**batch, **kwargs) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\funasr\models\fsmn_vad_streaming\model.py", line 722, in inference segments_i = self.forward(**batch) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\funasr\models\fsmn_vad_streaming\model.py", line 562, in forward self.ComputeScores(feats, cache=cache) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\funasr\models\fsmn_vad_streaming\model.py", line 351, in ComputeScores scores = self.encoder(feats, cache=cache["encoder"]).to("cpu") # return B * T * D File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\funasr\models\fsmn_vad_streaming\encoder.py", line 245, in forward x3 = self.relu(x2) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\funasr\models\fsmn_vad_streaming\encoder.py", line 50, in forward out = self.relu(input) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\torch\nn\modules\activation.py", line 133, in forward return F.relu(input, inplace=self.inplace) File "I:\GPT-SoVITS-v2pro-20250604-nvidia50\runtime\lib\site-packages\torch\nn\functional.py", line 1704, in relu result = torch.relu(input) RuntimeError: CUDA error: named symbol not found CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. ### Description I was able to detect my GPU in the webui GPT-SoVITS, but when trying to perform voice to text detection, it generated named symbol not found error. ### Steps to reproduce 1. Download GPT-SoVITS 2. Move Zluda dll to C:\Windows\System32 3. Start GPT-SoVITS webUI 4. Run Speech Recognition Tool ### ZLUDA version Version 6-preview.63 ### Operating System Windows 11 ### GPU 9070 XT & 9060 XT dual GPU
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