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**Description**: LayerNormalization is now part of the ONNX spec as of opset 17. We had a LayerNormalization contrib op, which (incorrectly) was registered in the ONNX domain. Use that implementation for the ONNX operator. Update skip_layer_norm_fusion.cc. There are other optimizers that use LayerNormalization that need updates as well. **Motivation and Context** #12916 |
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| .. | ||
| github | ||
| __init__.py | ||
| amd_hipify.py | ||
| build.py | ||
| clean_docker_image_cache.py | ||
| coverage.py | ||
| gen_def.py | ||
| get_docker_image.py | ||
| logger.py | ||
| op_registration_utils.py | ||
| op_registration_validator.py | ||
| policheck_exclusions.xml | ||
| reduce_op_kernels.py | ||
| requirements.txt | ||
| upload_python_package_to_azure_storage.py | ||