?pjhSSKJrJr SSKJrJrJrJrJrJ r J r J r SSK J r /SQrSrSrSrS rg ) )get_default_device parse_device)DEFAULT_CPU_THREADSDEFAULT_DEVICEDEFAULT_ENABLE_MKLDNNDEFAULT_MKLDNN_CACHE_CAPACITYDEFAULT_PRECISIONDEFAULT_USE_TENSORRTSUPPORTED_PRECISION_LISTDEFAULT_USE_CINN)str2bool)paddle paddle_staticpaddle_dynamic transformers onnxruntimec [SSU[[[[[ [ S. nUR5UR5- nUHn[SU35e 0UEUEnUSb&US[;a[SUSS[S35eUS[;a[SUSS[S35eURS 5US 'URS5US 'U$) N) deviceengine engine_config enable_hpi use_tensorrt precision enable_mkldnnmkldnn_cache_capacity cpu_threads enable_cinnzUnknown argument: rzInvalid engine: z. Supported values are: .rzInvalid precision: r use_pptrtpptrt_precision) rr r rr rr keys ValueErrorSUPPORTED_INFERENCE_ENGINE_LISTr pop)kwargsdefault_enable_hpi default_vals unknown_namesnames R/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/paddleocr/_common_args.pyparse_common_argsr,&s (,&.!>*' LKKML$5$5$77M-dV455( ' 'F x$ 8 $C Cvh/00HIhHiij k  k"::!&"5!66NOgNhhi j  !**^4F; & ; 7F  Mc0nUS:Xa8US(a(USS:XaSUS'OKUSS:Xd US5eSUS'O2S US'O,US :Xa!US (a US US 'OS US'US US 'OS US'USUS'U$)Ngpur r!fp32trt_fp32run_modefp16trt_fp16rcpurrrr) common_args device_typecfgs r+"_build_paddle_static_engine_configr:Ms Ce { #,-7",J"#45?%B?#-J&C O    '+67N+OC' (&C O(7M"J$]3C  Jr-cUSnUc [5n[U5up40nX%S'USUS'USUS'USnUSn[X5nUbXeS'U$US:XaXS'U$US;a SU0US'U$SUS'U$)Nrrruse_hpiprr)Nr)rrr:) model_namer7rr8_ init_kwargsuser_engine_configrbuilts r+prepare_common_init_argsrBfs  "F ~#%!&)NKK"'1K),7K $_5  "F .{ HE%'9O$  ? "',O$  # #(7'? O$ (, O$ r-cU(aSnOSnURS[[US9 URS[[SS9 URS[US S9 URS [[ S S9 URS [[ [S S9 URS[[SS9 URS[[SS9 URS[[SS9 URS[[SS9 g)NaDevice(s) to use for inference, e.g., `cpu`, `gpu`, `npu`, `gpu:0`, `gpu:0,1`. If multiple devices are specified, inference will be performed in parallel. Note that parallel inference is not always supported. By default, GPU 0 will be used if available; otherwise, the CPU will be used.zDevice to use for inference, e.g., `cpu`, `gpu`, `npu`, `gpu:0`. By default, GPU 0 will be used if available; otherwise, the CPU will be used.z--device)typedefaulthelpz--engineznInference engine to use. For CLI, engine-specific configuration should be set in the PaddleX YAML config file.)rDchoicesrFz --enable_hpiz&Enable the high performance inference.z--use_tensorrtzWhether to use the Paddle Inference TensorRT subgraph engine. If the model does not support TensorRT acceleration, even if this flag is set, acceleration will not be used.z --precisionzPPrecision for TensorRT when using the Paddle Inference TensorRT subgraph engine.)rDrErGrFz--enable_mkldnnzEnable MKL-DNN acceleration for inference. If MKL-DNN is unavailable or the model does not support it, acceleration will not be used even if this flag is set.z--mkldnn_cache_capacityzMKL-DNN cache capacity.z --cpu_threadsz/Number of threads to use for inference on CPUs.z --enable_cinnz!Whether to use the CINN compiler.) add_argumentstrrr$rr r r rintr rr )parserr'allow_multiple_deviceshelp_s r+add_common_cli_optsrNsEqa       / }    " 5    ${    !( _   %n   ! - &    # >     0 r-N)paddlex.utils.devicerr _constantsrrrr r r r r _utils.clirr$r,r:rBrNr6r-r+rRs<B   !#$N26;r-