Hector Li 4324d2173b [QNN EP] Enable Qnn context cache to save model initialization time (#15815) ... ### Description Enable Qnn Context cache feature to save model initialization time Provider options: qnn_context_cache_enable|1 to enable the cache feature qnn_context_cache_path to set the cache path. It is set to model_file.onnx.bin by default. ### Motivation and Context Model initialization time takes long because the cost of conversion from Onnx model to Qnn model. Qnn have feature to serialize the Qnn context to file, then next time user can load it from the cache context and execute the graph to save the cost. --------- Co-authored-by: Adrian Lizarraga <adlizarraga@microsoft.com>		2023-05-19 10:52:17 -07:00
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github	[QNN EP] Enable Qnn context cache to save model initialization time (#15815)	2023-05-19 10:52:17 -07:00
__init__.py
amd_hipify.py
build.py	Implement mutex-free spin lock for task queue (#14834)	2023-05-19 10:12:10 -07:00
clean_docker_image_cache.py
compile_triton.py	integrate triton into ort (#15862)	2023-05-17 09:35:28 +08:00
coverage.py
gen_def.py	Basic CSharp packaging support for ROCm EP (#15535)	2023-05-16 07:27:38 +08:00
get_docker_image.py	Bump ruff in CI (#15533)	2023-04-17 10:11:44 -07:00
logger.py
op_registration_utils.py	Support additional op domains in op reduction script. (#15424)	2023-04-11 08:57:51 -07:00
op_registration_validator.py	Update kernel registration validation to allow kernel registrations to appear in arbitrary order. (#15705)	2023-04-27 18:49:31 -07:00
patch_manylinux.py
policheck_exclusions.xml
reduce_op_kernels.py	Bump ruff in CI (#15533)	2023-04-17 10:11:44 -07:00
replace_urls_in_deps.py
requirements.txt
update_tsaoptions.py
upload_python_package_to_azure_storage.py