fTh'SrSSKJr SSKJr SSKJr SSKJr SSK J r SSK J r SS K JrJr \ R "\5r"S S \\5r"S S \ 5rS S /rg)zConvNeXT model configuration OrderedDict)Mapping)version)PretrainedConfig) OnnxConfig)logging)BackboneConfigMixin*get_aligned_output_features_output_indicescN^\rSrSrSrSrSU4SjjrSrU=r$)ConvNextConfiga. This is the configuration class to store the configuration of a [`ConvNextModel`]. It is used to instantiate an ConvNeXT 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 ConvNeXT [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-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: num_channels (`int`, *optional*, defaults to 3): The number of input channels. patch_size (`int`, *optional*, defaults to 4): Patch size to use in the patch embedding layer. num_stages (`int`, *optional*, defaults to 4): The number of stages in the model. hidden_sizes (`List[int]`, *optional*, defaults to [96, 192, 384, 768]): Dimensionality (hidden size) at each stage. depths (`List[int]`, *optional*, defaults to [3, 3, 9, 3]): Depth (number of blocks) for each stage. hidden_act (`str` or `function`, *optional*, defaults to `"gelu"`): The non-linear activation function (function or string) in each block. If string, `"gelu"`, `"relu"`, `"selu"` and `"gelu_new"` are supported. initializer_range (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. layer_norm_eps (`float`, *optional*, defaults to 1e-12): The epsilon used by the layer normalization layers. layer_scale_init_value (`float`, *optional*, defaults to 1e-6): The initial value for the layer scale. drop_path_rate (`float`, *optional*, defaults to 0.0): The drop rate for stochastic depth. out_features (`List[str]`, *optional*): If used as backbone, list of features to output. Can be any of `"stem"`, `"stage1"`, `"stage2"`, etc. (depending on how many stages the model has). If unset and `out_indices` is set, will default to the corresponding stages. If unset and `out_indices` is unset, will default to the last stage. Must be in the same order as defined in the `stage_names` attribute. out_indices (`List[int]`, *optional*): If used as backbone, list of indices of features to output. Can be any of 0, 1, 2, etc. (depending on how many stages the model has). If unset and `out_features` is set, will default to the corresponding stages. If unset and `out_features` is unset, will default to the last stage. Must be in the same order as defined in the `stage_names` attribute. Example: ```python >>> from transformers import ConvNextConfig, ConvNextModel >>> # Initializing a ConvNext convnext-tiny-224 style configuration >>> configuration = ConvNextConfig() >>> # Initializing a model (with random weights) from the convnext-tiny-224 style configuration >>> model = ConvNextModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```convnextc >[TU]"S0UD6 XlX lX0lUc/SQOUUlUc/SQOUUlX`lXplXl Xl Xl Xl S/[S[UR 5S-5Vs/sHnSU3PM sn-Ul[!XURS9uUlUlgs snf)N)`ii)rr rstemstage) out_features out_indices stage_names)super__init__ num_channels patch_size num_stages hidden_sizesdepths hidden_actinitializer_rangelayer_norm_epslayer_scale_init_valuedrop_path_rate image_sizerangelenrr _out_features _out_indices)selfrrr r!r"r#r$r%r&r'r(rrkwargsidx __class__s k/var/www/auris/envauris/lib/python3.13/site-packages/transformers/models/convnext/configuration_convnext.pyrConvNextConfig.__init__Zs" "6"($$3?3G/\&,nl& $!2,&<#,$"8aT[[IY\]I]@^&_@^se}@^&__0Z%DL\L\1 -D-'`s C)r+r,r"r'r#r!r(r$r%r&rr rr) rr3NNgelug{Gz?g-q=gư>gNN) __name__ __module__ __qualname____firstlineno____doc__ model_typer__static_attributes__ __classcell__)r0s@r1rrsC6 pJ#! ! rc|\rSrSr\R "S5r\S\\ \\ \ 444Sj5r \S\ 4Sj5r Srg)ConvNextOnnxConfig~z1.11returnc([SSSSSS.4/5$)N pixel_valuesbatchrheightwidth)rrrrr-s r1inputsConvNextOnnxConfig.inputss&WHQX!YZ   r>cg)Ngh㈵>rrIs r1atol_for_validation&ConvNextOnnxConfig.atol_for_validationsr>rN)r6r7r8r9rparsetorch_onnx_minimum_versionpropertyrstrintrJfloatrMr<rr>r1r@r@~sX!(v!6  WS#X%6 67  Ur>r@N)r: collectionsrtypingr packagingrconfiguration_utilsronnxr utilsr utils.backbone_utilsr r get_loggerr6loggerrr@__all__rr>r1r_s]##3c   H %\ (*:\ ~   1 2r>