o ߥi@szddlmZmZddlZddlmZddlmZddlm Z ddl m Z ddl m Z e je j ej d Gd d d eZdS) )AnyDictN)Models) TorchModel)MODELS)Tasks)VisionEfficientTuning) module_namecsHeZdZdZdeffdd ZdeeefdeeeffddZZ S) VisionEfficientTuningModela The implementation of vision efficient tuning model based on TorchModel. This model is constructed with the following parts: - 'backbone': pre-trained backbone model with parameters. - 'head': classification head with fine-tuning. model_dirc sVt|tdd|i||_|jj|_ttjrdnd|_|j |jdS)a Initialize a vision efficient tuning model. Args: model_dir: model id or path, where model_dir/pytorch_model.pt contains: - 'backbone_weight': parameters of backbone. - 'head_weight': parameters of head. r cudacpuN) super__init__r modelCLASSEStorchdevicer is_availableto)selfr kwargs __class__rf/home/ubuntu/.local/lib/python3.10/site-packages/modelscope/models/cv/vision_efficient_tuning/model.pyrs  z#VisionEfficientTuningModel.__init__inputreturncCs|jdi|}|S)z Dynamic forward function of vision efficient tuning model. Args: input: the input data dict contanis: - imgs: (B, 3, H, W). - labels: (B), when training stage. Nr)r)rroutputrrrforward(sz"VisionEfficientTuningModel.forward) __name__ __module__ __qualname____doc__strrrrr __classcell__rrrrr s*r )typingrrrmodelscope.metainfor'modelscope.models.base.base_torch_modelrmodelscope.models.builderrmodelscope.utils.constantrvision_efficient_tuningr register_moduler rrrrs