i6SrSSKrSSKJrJr SSKJr SSKJrJ r SSK J r J r S\ S\\ S \4S jrS S\ S \4S jjrSS\ S \4S jjrg)z Target-specific recipe functions for simplified multi-backend deployment. This module provides platform-specific functions that abstract away backend selection and combine multiple backends optimally for target hardware. N)DictList)XNNPackRecipeType) ExportRecipe RecipeType))is_supported_platform_for_coreml_lowering&is_supported_platform_for_qnn_lowering target_configrecipesreturnc FU(d[SU35e/nUH,n[R"U40UD6nURU5 M. [ U5S:XaUS$[R"X0S9$![a$n[SUR SUSU35UeSnAff=f) a/ Create a combined recipe for a target. Args: target_config: Human-readable hardware configuration name recipes: List of backend recipe types to combine **kwargs: Additional parameters - each backend will use what it needs Returns: Combined ExportRecipe for the hardware configuration zNo backends configured for: zFailed to create z recipe for z: Nr) recipe_name) ValueErrorr get_recipeappend Exceptionvaluelencombine)r r kwargsbackend_recipes recipe_typebackend_recipees _/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/executorch/export/target_recipes.py_create_target_recipers 7 GHHO  )44[KFKN  " "> 2 ?q q!!    KK #K$5$5#6l=/QSTUSVW  s(A22 B <BB c [5(d [S5eSSKnSSKJn UR [ R /UR[ R /UR/S.nX;a*[UR55n[SUSU35eU=(d 0nUS:XaS U;aURRUS 'X@n[X40UD6$) aY Get iOS-optimized recipe for specified hardware configuration. Supported configurations: - 'ios-arm64-coreml-fp32': CoreML + XNNPACK fallback (FP32) - 'ios-arm64-coreml-fp16': CoreML fp16 recipe - 'ios-arm64-coreml-int8': CoreML INT8 quantization recipe Args: target_config: iOS configuration string **kwargs: Additional parameters for backend recipes Returns: ExportRecipe configured for iOS deployment Raises: ValueError: If target configuration is not supported Example: recipe = get_ios_recipe('ios-arm64-coreml-int8') session = export(model, recipe, example_inputs) z(CoreML is not supported on this platformrN)CoreMLRecipeType)zios-arm64-coreml-fp32ios-arm64-coreml-fp16ios-arm64-coreml-int8z Unsupported iOS configuration: ''. Supported: r!minimum_deployment_target)rr coremltools(executorch.backends.apple.coreml.recipesrFP32rFP16PT2E_INT8_STATIClistkeystargetiOS17r)r rctr ios_configs supportedrs rget_ios_reciper0<s4 5 6 6CDDI#3"7"79J9O9O!P"2"7"79J9O9O!P"2"C"C!D 0K'))+, .}o># &  \rF// &f 424))//F. /!0O  J6 JJc [5(d [S5eSSKJn [R "SS5c [S5eSUR[R/0nX;a*[UR55n[S US U35eU=(d 0nUS:Xa S U;aS US 'X@n[X40UD6$![ an[S5UeSnAff=f) a Get Android-optimized recipe for specified hardware configuration. Supported configurations: - 'android-arm64-snapdragon-fp16': QNN fp16 recipe Args: target_config: Android configuration string **kwargs: Additional parameters for backend recipes Returns: ExportRecipe configured for Android deployment Raises: ValueError: If target configuration is not supported Example: recipe = get_android_recipe('android-arm64-snapdragon-fp16') session = export(model, recipe, example_inputs) z@QNN is not supported or not properly configured on this platformr) QNNRecipeType QNN_SDK_ROOTNztQNN SDK not found, cannot use QNN recipes. First run `./backends/qualcomm/scripts/build.sh`, if building from sourcezgQNN backend is not available. Please ensure the Qualcomm backend is properly installed and configured, android-arm64-snapdragon-fp16z$Unsupported Android configuration: 'r" soc_modelSM8650) r r$executorch.backends.qualcomm.recipesr3osgetenvrr'rr&r)r*r)r rr3randroid_configsr/rs rget_android_reciper<ws0 2 3 3 N   G 99^T * 2G  3 (-*<*<>O>T>T)U4O +--/0 2=/B# &  \rF77 f $"*F; %4O  J6 JJ3  5  s)B?? C CC)r )r5)__doc__r9typingrr#executorch.backends.xnnpack.recipesrexecutorch.export.reciperrexecutorch.export.utilsrr strrr0r<r1rrDs A= LL!%j!1LLH17K7K7Kx9BKBKBKr1