CUDA error on ZLUDA: CUBLAS_STATUS_NOT_SUPPORTED when calling 'cublasSgemm()'

### Expected Behavior

Normally, when I use CUDA on ZLUDA, the prompt should be executed: I am using an AMD Radeon Vega 8 Graphics GPU with the AMD Ryzen 5 3500U CPU. It should happen normally... if it weren't for...

### Actual Behavior

...this.
`FETCH DATA from: C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager\extension-node-map.json [DONE]
got prompt
model_type EPS
Using split attention in VAE
Using split attention in VAE
loaded straight to GPU
Requested to load BaseModel
Loading 1 new model
Requested to load SD1ClipModel
Loading 1 new model
!!! Exception during processing!!! CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)`
Traceback (most recent call last):
File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 58, in encode
output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 115, in encode_from_tokens
o = self.cond_stage_model.encode_token_weights(tokens)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 567, in encode_token_weights
out = getattr(self, self.clip).encode_token_weights(token_weight_pairs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 41, in encode_token_weights
o = self.encode(to_encode)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 228, in encode
return self(tokens)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 200, in forward
outputs = self.transformer(tokens, attention_mask_model, intermediate_output=self.layer_idx, final_layer_norm_intermediate=self.layer_norm_hidden_state)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 134, in forward
x = self.text_model(*args, **kwargs)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 109, in forward
x, i = self.encoder(x, mask=mask, intermediate_output=intermediate_output)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 68, in forward
x = l(x, mask, optimized_attention)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 49, in forward
x += self.self_attn(self.layer_norm1(x), mask, optimized_attention)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 16, in forward
q = self.q_proj(x)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 50, in forward
return self.forward_comfy_cast_weights(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 46, in forward_comfy_cast_weights
return torch.nn.functional.linear(input, weight, bias)
RuntimeError: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)``

This is a CUDA error, indicating that the cuBLAS status is not supported, so why is this happening?

I am using Python 3.10.11, with PyTorch 2.0.0+cu118 and ZLUDA. And yes, I did apply the `--disable-all-custom-nodes` flag, to no avail.

### Steps to Reproduce

It is heavily assumed that this issue is on my end only, but here is how it happened:
First, select a model, enter the prompts, do some tweaks on the settings, and click on 'Queue Prompt'. Wait for a few seconds, and the error occurs.

### Debug Logs

```powershell
FETCH DATA from: C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager\extension-node-map.json [DONE]
got prompt
model_type EPS
Using split attention in VAE
Using split attention in VAE
loaded straight to GPU
Requested to load BaseModel
Loading 1 new model
Requested to load SD1ClipModel
Loading 1 new model
!!! Exception during processing!!! CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)`
Traceback (most recent call last):
File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 58, in encode
output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 115, in encode_from_tokens
o = self.cond_stage_model.encode_token_weights(tokens)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 567, in encode_token_weights
out = getattr(self, self.clip).encode_token_weights(token_weight_pairs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 41, in encode_token_weights
o = self.encode(to_encode)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 228, in encode
return self(tokens)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\sd1_clip.py", line 200, in forward
outputs = self.transformer(tokens, attention_mask_model, intermediate_output=self.layer_idx, final_layer_norm_intermediate=self.layer_norm_hidden_state)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 134, in forward
x = self.text_model(*args, **kwargs)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 109, in forward
x, i = self.encoder(x, mask=mask, intermediate_output=intermediate_output)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 68, in forward
x = l(x, mask, optimized_attention)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 49, in forward
x += self.self_attn(self.layer_norm1(x), mask, optimized_attention)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\clip_model.py", line 16, in forward
q = self.q_proj(x)
File "C:\Users\taren\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 50, in forward
return self.forward_comfy_cast_weights(*args, **kwargs)
File "C:\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 46, in forward_comfy_cast_weights
return torch.nn.functional.linear(input, weight, bias)
RuntimeError: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)`
```

### Other

_No response_