[Inference] Could not find an implmentation for groupnorm

[neonarc4]

Describe the issue

i dont know what going on here cant even run simple thing

To reproduce

from optimum.onnxruntime import ORTStableDiffusionXLPipeline
pipeline = ORTStableDiffusionXLPipeline.from_pretrained("greentree/SDXL-olive-optimized")

2024-05-12 22:48:45.277336: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-05-12 22:48:46.160987: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
WARNING:tensorflow:From Z:\software\python11\Lib\site-packages\tf_keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.

Traceback (most recent call last):
  File "X:\sad\practice\test\aii\neo.py", line 259, in <module>
    pipeline = ORTStableDiffusionXLPipeline.from_pretrained("greentree/SDXL-olive-optimized")
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "Z:\software\python11\Lib\site-packages\optimum\onnxruntime\modeling_ort.py", line 669, in from_pretrained
    return super().from_pretrained(
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "Z:\software\python11\Lib\site-packages\optimum\modeling_base.py", line 402, in from_pretrained
    return from_pretrained_method(
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "Z:\software\python11\Lib\site-packages\optimum\onnxruntime\modeling_diffusion.py", line 337, in _from_pretrained    vae_decoder, text_encoder, unet, vae_encoder, text_encoder_2 = cls.load_model(
                                                                   ^^^^^^^^^^^^^^^
  File "Z:\software\python11\Lib\site-packages\optimum\onnxruntime\modeling_diffusion.py", line 214, in load_model
    vae_decoder = ORTModel.load_model(vae_decoder_path, provider, session_options, provider_options)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "Z:\software\python11\Lib\site-packages\optimum\onnxruntime\modeling_ort.py", line 375, in load_model
    return ort.InferenceSession(
           ^^^^^^^^^^^^^^^^^^^^^
  File "Z:\software\python11\Lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 419, in __init__
    self._create_inference_session(providers, provider_options, disabled_optimizers)
  File "Z:\software\python11\Lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 483, in _create_inference_session
    sess.initialize_session(providers, provider_options, disabled_optimizers)
onnxruntime.capi.onnxruntime_pybind11_state.NotImplemented: [ONNXRuntimeError] : 9 : NOT_IMPLEMENTED : Could not find an implementation for GroupNorm(1) node with name 'GroupNorm_0'

Urgency

i dont know what to say

ONNX Runtime Installation

Built from Source

ONNX Runtime Version or Commit ID

1.17.3

PyTorch Version

2.3.0.dev20240122+cpu

Execution Provider

Other / Unknown

Execution Provider Library Version

amd

[mindest]

Which execution provider are you using? Is it CPUExecutionProvider instead of ROCMExecutionProvider?

[github-actions]

This issue has been automatically marked as stale due to inactivity and will be closed in 30 days if no further activity occurs. If further support is needed, please provide an update and/or more details.

[mindest]

The default execution provider is CPUExecutionProvider. If you want to run on ROCM EP, try

from optimum.onnxruntime import ORTStableDiffusionXLPipeline
pipeline = ORTStableDiffusionXLPipeline.from_pretrained(
    "greentree/SDXL-olive-optimized", provider="ROCMExecutionProvider")

Please reopen if there is still issue.