o h @sdZddlZddlmZddlmZddlmZm Z m Z m Z GdddeZ   dd ej jd ee ed ee e d ed ej jf ddZd ej jfddZd ej jd e ed e efddZdS)zM This module contains utility method for mobile model optimization and lint. N)Enum)_MobileOptimizerType)OptionalSetListAnyStrc@seZdZdZdZdZdZdS)LintCodeN)__name__ __module__ __qualname__ BUNDLED_INPUT REQUIRES_GRADDROPOUT BATCHNORMrrR/var/www/html/ai/venv/lib/python3.10/site-packages/torch/utils/mobile_optimizer.pyr s rCPU script_moduleoptimization_blocklistpreserved_methodsbackendreturnc s$ttjjstdtd|durt}|durg}dd|D}t|}tfdd|Dr=t t||}g}|D] }t |sM| |qA|rZt dd ||}|d krltjj||}n|d krztjj||}n|d krtjj|}ntd tjj|S)a Args: script_module: An instance of torch script module with type of ScriptModule. optimization_blocklist: A set with type of MobileOptimizerType. When set is not passed, optimization method will run all the optimizer pass; otherwise, optimizer method will run the optimization pass that is not included inside optimization_blocklist. preserved_methods: A list of methods that needed to be preserved when freeze_module pass is invoked backend: Device type to use for running the result model ('CPU'(default), 'Vulkan' or 'Metal'). Returns: A new optimized torch script module Got , but ScriptModule is expected.NcSsg|]}t|qSr)str.0methodrrr -sz'optimize_for_mobile..c3s|]}t|VqdS)N)hasattrrrrr 0sz&optimize_for_mobile..zAThe following methods to preserve do not exist in script_module: z, cpuvulkanmetalz:Unknown backend, must be one of 'CPU', 'Vulkan' or 'Metal') isinstancetorchjit ScriptModule TypeErrortypeset(_get_bundled_inputs_preserved_attributesalllistr#appendAttributeErrorjoinlower_C_jit_pass_optimize_for_mobile_c$_jit_pass_vulkan_optimize_for_mobile#_jit_pass_metal_optimize_for_mobile _recursivewrap_cpp_module) rrrrpreserved_methods_strbundled_inputs_attributesnon_exist_methodsr!optimized_cpp_modulerr$roptimize_for_mobilesL   rBcCst|tjjstdt|dg}t|ds"|tj j dd| D]\}}|j r;|tj j d|ddq&tj|}|D]$}d|vrW|tjj d |dd |vrh|tjj d |dqD|S) z Args: script_module: An instance of torch script module with type of ScriptModule Returns: lint_map: A list of dictionary that contains modules lints rr$_generate_bundled_inputs_for_forwardzNo bundled input for forward, please add bundled inputs before saving the module using torch.utils.bundled_inputs.augment_model_with_bundled_inputs.)namemessagezParam zw requires grad, please set torch.no_grad() to reduce memory usage and improve computation speed during inference phase.dropoutzOperator {} exists, remember to call eval() before saving the module.and call torch.utils.mobile_optimizer.optimize_for_mobile to drop dropout operator. batch_normzOperator {} exists, remember to call eval() before saving the module and call torch.utils.mobile_optimizer.optimize_for_mobile to drop batch_norm operator.)r)r*r+r,r-r.r#r3rrrDnamed_parameters requires_gradrexport_opnamesrformatr)r lint_listrDparamop_namesop_namerrrgenerate_mobile_module_lintsNs.    rPcCszg}t|dr|d|dt|dr;|d|}|D]}||vr,|||d||d|q!|S)Nget_all_bundled_inputsget_num_bundled_inputs%get_bundled_inputs_functions_and_infoget_all_bundled_inputs_for__bundled_inputs_deflated_)r#r3rS)rrr?all_info function_namerrrr0ss      r0)NNr)__doc__r*enumrtorch._CrMobileOptimizerTypetypingrrrrrr+r,rRecursiveScriptModulerBrPr0rrrrs,     >&%