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* Implement XNNPACK support via an EP. * Layout transform uses the GraphPartitioner infrastructure. * Node fusion is supported. * Conv and MaxPool implementations were ported from Changming's PR. * Added optional mutex in InferenceSession::Run as we only want to allow sequential calls if xnnpack is enabled |
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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 | ||
| upload_python_package_to_azure_storage_with_python.py | ||