T^(h2dZddlmZddlmZmZmZddlmZddl m Z ddl m Z ddl mZejeZGd d e ZGd d e Zd d gZy )zPvt model configuration OrderedDict)CallableListMapping)version)PretrainedConfig) OnnxConfig)loggingc%eZdZdZdZdddgdgdgdgd gd gd gd d d d dd dddfdedededeedeedeedeedeedeedeedeee fde de de d e d!e d"e d#ef$fd$ Z xZ S)% PvtConfigaM This is the configuration class to store the configuration of a [`PvtModel`]. It is used to instantiate an Pvt model according to the specified arguments, defining the model architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of the Pvt [Xrenya/pvt-tiny-224](https://huggingface.co/Xrenya/pvt-tiny-224) architecture. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: image_size (`int`, *optional*, defaults to 224): The input image size num_channels (`int`, *optional*, defaults to 3): The number of input channels. num_encoder_blocks (`int`, *optional*, defaults to 4): The number of encoder blocks (i.e. stages in the Mix Transformer encoder). depths (`List[int]`, *optional*, defaults to `[2, 2, 2, 2]`): The number of layers in each encoder block. sequence_reduction_ratios (`List[int]`, *optional*, defaults to `[8, 4, 2, 1]`): Sequence reduction ratios in each encoder block. hidden_sizes (`List[int]`, *optional*, defaults to `[64, 128, 320, 512]`): Dimension of each of the encoder blocks. patch_sizes (`List[int]`, *optional*, defaults to `[4, 2, 2, 2]`): Patch size before each encoder block. strides (`List[int]`, *optional*, defaults to `[4, 2, 2, 2]`): Stride before each encoder block. num_attention_heads (`List[int]`, *optional*, defaults to `[1, 2, 5, 8]`): Number of attention heads for each attention layer in each block of the Transformer encoder. mlp_ratios (`List[int]`, *optional*, defaults to `[8, 8, 4, 4]`): Ratio of the size of the hidden layer compared to the size of the input layer of the Mix FFNs in the encoder blocks. hidden_act (`str` or `function`, *optional*, defaults to `"gelu"`): The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`, `"relu"`, `"selu"` and `"gelu_new"` are supported. hidden_dropout_prob (`float`, *optional*, defaults to 0.0): The dropout probability for all fully connected layers in the embeddings, encoder, and pooler. attention_probs_dropout_prob (`float`, *optional*, defaults to 0.0): The dropout ratio for the attention probabilities. initializer_range (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. drop_path_rate (`float`, *optional*, defaults to 0.0): The dropout probability for stochastic depth, used in the blocks of the Transformer encoder. layer_norm_eps (`float`, *optional*, defaults to 1e-06): The epsilon used by the layer normalization layers. qkv_bias (`bool`, *optional*, defaults to `True`): Whether or not a learnable bias should be added to the queries, keys and values. num_labels ('int', *optional*, defaults to 1000): The number of classes. Example: ```python >>> from transformers import PvtModel, PvtConfig >>> # Initializing a PVT Xrenya/pvt-tiny-224 style configuration >>> configuration = PvtConfig() >>> # Initializing a model from the Xrenya/pvt-tiny-224 style configuration >>> model = PvtModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```pvtr )rrr)rr)@i@i)rrrr)rrr)rrrrgelugg{Gz?gư>Ti image_size num_channelsnum_encoder_blocksdepthssequence_reduction_ratios hidden_sizes patch_sizesstridesnum_attention_heads mlp_ratios hidden_acthidden_dropout_probattention_probs_dropout_probinitializer_rangedrop_path_ratelayer_norm_epsqkv_bias num_labelsc t|di|||_||_||_||_||_||_||_||_ | |_ | |_ | |_ | |_ | |_||_||_||_||_||_y)N)super__init__rrrrrrrr r"r!r#r$r%r&r'r(r*r))selfrrrrrrrr r!r"r#r$r%r&r'r(r)r*kwargs __class__s g/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/transformers/models/pvt/configuration_pvt.pyr.zPvtConfig.__init__bs, "6"$("4 )B&(& $#6 $#6 ,H)!2,,$  )__name__ __module__ __qualname____doc__ model_typeintrrstrrfloatboolr. __classcell__)r1s@r2rr s)= ~J"#(/;"5!-))5 ,-3%(.1#' # $')!)!)! )! S )! $(9 )!3i)!#Y)!c)!"#Y)!I)!CM*)!#)!',)!!)! !)!"#)!$%)!&')!)!r3rceZdZejdZedeeee efffdZ ede fdZ ede fdZ y) PvtOnnxConfigz1.11returnc(tddddddfgS)N pixel_valuesbatchrheightwidth)rrrr rr/s r2inputszPvtOnnxConfig.inputss&WHQX!YZ   r3cy)Ng-C6?r,rFs r2atol_for_validationz!PvtOnnxConfig.atol_for_validationsr3cy)N r,rFs r2default_onnx_opsetz PvtOnnxConfig.default_onnx_opsetsr3N)r4r5r6rparsetorch_onnx_minimum_versionpropertyrr:r9rGr;rIrLr,r3r2r?r?su!.v!6  WS#X%6 67  UCr3r?N)r7 collectionsrtypingrrr packagingrconfiguration_utilsr onnxr utilsr get_loggerr4loggerrr?__all__r,r3r2rYs["#**3   H %k! k!\J(  (r3