o oiP@sddlmZddlmZmZddlmZddlZddlm Z ddl m Z ddl mZddddZeGdddZGddde eZdS)) annotations) dataclassfield)LiteralN) ModelBasebackbone)Tensorb1 model_typeLiteral['b1', 'b2', 'b3'] resolutionLiteral[224, 256, 288]returnstrc Csd|d|d|d|d S)z)Return the base URL of the model weights.z4https://huggingface.co/kornia/efficientvit_imagenet__rz/resolve/main/z-rz.ptr rrr]/home/ubuntu/.local/lib/python3.10/site-packages/kornia/contrib/models/efficient_vit/model.py _get_base_urlsrc@s2eZdZUdZeedZded<ed d d Z d S)EfficientViTConfigaConfiguration to construct EfficientViT model. Model weights can be loaded from a checkpoint URL or local path. The model weights are hosted on HuggingFace's model hub: https://huggingface.co/kornia. Args: checkpoint: URL or local path of model weights. )default_factoryr checkpointr r rrrcCs|t||ddS)zReturn a configuration object from a pre-trained model. Args: model_type: model type, one of :obj:`"b1"`, :obj:`"b2"`, :obj:`"b3"`. resolution: input resolution, one of :obj:`224`, :obj:`256`, :obj:`288`. r)r)r)clsr rrrrfrom_pretrained1s z"EfficientViTConfig.from_pretrainedN)r r rrrr) __name__ __module__ __qualname____doc__rrr__annotations__ classmethodrrrrrr#s  rcs:eZdZdZdfdd Zedd d ZdddZZS) EfficientViTzEfficientViT backbone model.r8vit.EfficientViTBackbone | vit.EfficientViTLargeBackbonerNonecst||_dS)N)super__init__r)selfr __class__rrr&Bs  zEfficientViT.__init__configrcCsztjj|jdd}d|vr|dn|}Wnty&td|jddw|jdd}|d d }|d vrBtd |dttd |}|j |ddt |dS)zBuild the EfficientViT model from a configuration object. Args: config: EfficientViT configuration object. See :class:`EfficientViTConfig`. Returns: EfficientViT: the EfficientViT model. cpu) map_location state_dictzUnable to load the model from .N/-r)b0r b2b3l0l1l2l3zUnknown model type: efficientvit_backbone_F)strictr) torchhubload_state_dict_from_urlr RuntimeErrorsplit ValueErrorgetattrvitload_state_dictr")r* model_file file_namer modelrrr from_configFs   zEfficientViT.from_configimagesr cCs||}|S)zExtract features from the input images. Args: images: input images tensor of shape :math:`(B, C, H, W)`. Returns: Dict[str, Tensor]: a dictionary containing the features. r)r'rHfeatsrrrforwardds zEfficientViT.forward)rr#rr$)r*rrr")rHr rr ) rrrrr& staticmethodrGrJ __classcell__rrr(rr"?s  r")r r )r r rrrr) __future__r dataclassesrrtypingrr;kornia.contrib.models.baser#kornia.contrib.models.efficient_vitrrB kornia.corer rrr"rrrrs