Repository: pytorch
Issue: ONNX: Failed to convert model / ONNX opset version 14 is not supported
Labels: module: onnx,triaged

### 🐛 Describe the bug

Hello,
since a while i am trying to get Stable Diffusion running on my RX 7900 XTX. Finally it is working normal when generating with a normal model that is not opitmized. Now i wanted to try out onnx for optimizing the models for my GPU. For 4 minutes or so my 32GB RAM is full and my CPU (R7 7800X3D) utilization is also between 60% and 100%. As i read, that is normal. But then i get the following error message:

'''ONNX: Failed to convert model: model='sd_xl_base_1.0.safetensors', error=Exporting the operator 'aten::scaled_dot_product_attention' to ONNX opset version 14 is not supported. Please feel free to request support or submit a pull request on PyTorch GitHub: https://github.com/pytorch/pytorch/issues.
ONNX: processing=StableDiffusionProcessingTxt2Img, pipeline=OnnxRawPipeline
*** Error completing request
*** Arguments: ('task(2vhzwlojaeegnc8)', 'flower', '', [], 20, 'DPM++ 2M Karras', 1, 1, 7, 1024, 1024, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], <gradio.routes.Request object at 0x000001C4F60E7A00>, 0, False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False) {}
    Traceback (most recent call last):
      File "C:\Users\Niklas\pinokio\api\automatic1111.git\app\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
      File "C:\Users\Niklas\pinokio\api\automatic1111.git\app\modules\call_queue.py", line 36, in f
        res = func(*args, **kwargs)
      File "C:\Users\Niklas\pinokio\api\automatic1111.git\app\modules\txt2img.py", line 55, in txt2img
        processed = processing.process_images(p)
      File "C:\Users\Niklas\pinokio\api\automatic1111.git\app\modules\processing.py", line 736, in process_images
        res = process_images_inner(p)
      File "C:\Users\Niklas\pinokio\api\automatic1111.git\app\modules\processing.py", line 841, in process_images_inner
        result = shared.sd_model(**kwargs)
    TypeError: 'OnnxRawPipeline' object is not callable

---'''

I already tried to downgrad torch to 2.0.0 but then i get a compatibility error for torch-directml. 
Could someone please help me out ?

Thanks

### Versions

Collecting environment information...
PyTorch version: 2.0.0+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Microsoft Windows 11 Pro
GCC version: Could not collect
Clang version: Could not collect
CMake version: Could not collect
Libc version: N/A

Python version: 3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.22631-SP0
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture=9
CurrentClockSpeed=4201
DeviceID=CPU0
Family=107
L2CacheSize=8192
L2CacheSpeed=
Manufacturer=AuthenticAMD
MaxClockSpeed=4201
Name=AMD Ryzen 7 7800X3D 8-Core Processor
ProcessorType=3
Revision=24834

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] onnx==1.15.0
[pip3] onnxruntime==1.17.0
[pip3] onnxruntime-directml==1.17.0
[pip3] open-clip-torch==2.20.0
[pip3] pytorch-lightning==1.9.4
[pip3] torch==2.0.0
[pip3] torch-directml==0.2.0.dev230426
[pip3] torchdiffeq==0.2.3
[pip3] torchmetrics==0.10.3
[pip3] torchsde==0.2.6
[pip3] torchvision==0.15.1
[conda] Could not collect