qyidSrSSKJr SSKJr SSKJr \"SS9\"SS \555rS /rg ) z'Swin2SR Transformer model configuration)strict)PreTrainedConfig)auto_docstringz caidas/swin2sr-classicalsr-x2-64) checkpointc^\rSrSr%SrSrSSSS.rSr\\ \-\ \\4-\ S 'S r \\ \-\ \\4-\ S 'S r \\ S 'Sr\S-\ S'Sr\\ S'Sr\ \\ \S4-\ S'Sr\ \\ \S4-\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\-\ S'Sr\\-\ S'Sr\\-\ S'Sr\\ S 'S!r\\ S"'S#r\\ S$'S%r\\ S&'S'r\\ S('S)r \\ S*'S+r!\\ S,'S-r"\\ S.'U4S/jr#S0r$U=r%$)1 Swin2SRConfiga num_channels_out (`int`, *optional*, defaults to `num_channels`): The number of output channels. If not set, it will be set to `num_channels`. depths (`list(int)`, *optional*, defaults to `[6, 6, 6, 6, 6, 6]`): Depth of each layer in the Transformer encoder. num_heads (`list(int)`, *optional*, defaults to `[6, 6, 6, 6, 6, 6]`): Number of attention heads in each layer of the Transformer encoder. window_size (`int`, *optional*, defaults to 8): Size of windows. upscale (`int`, *optional*, defaults to 2): The upscale factor for the image. 2/3/4/8 for image super resolution, 1 for denoising and compress artifact reduction img_range (`float`, *optional*, defaults to 1.0): The range of the values of the input image. resi_connection (`str`, *optional*, defaults to `"1conv"`): The convolutional block to use before the residual connection in each stage. upsampler (`str`, *optional*, defaults to `"pixelshuffle"`): The reconstruction reconstruction module. Can be 'pixelshuffle'/'pixelshuffledirect'/'nearest+conv'/None. Example: ```python >>> from transformers import Swin2SRConfig, Swin2SRModel >>> # Initializing a Swin2SR caidas/swin2sr-classicalsr-x2-64 style configuration >>> configuration = Swin2SRConfig() >>> # Initializing a model (with random weights) from the caidas/swin2sr-classicalsr-x2-64 style configuration >>> model = Swin2SRModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```swin2sr embed_dim num_heads num_layers) hidden_sizenum_attention_headsnum_hidden_layers@ image_size patch_sizer num_channelsNnum_channels_out)rrrrr.depths window_sizeg@ mlp_ratioTqkv_biasghidden_dropout_probattention_probs_dropout_probg?drop_path_rategelu hidden_actFuse_absolute_embeddingsg{Gz?initializer_rangegh㈵>layer_norm_epsupscaleg? img_range1convresi_connection pixelshuffle upsamplerc >URc URO URUl[UR5Ul[ TU]"S0UD6 g)N)rrlenrrsuper __post_init__)selfkwargs __class__s n/home/mande/repo/quber/.venv/lib/python3.13/site-packages/transformers/models/swin2sr/configuration_swin2sr.pyr2Swin2SRConfig.__post_init__YsE595J5J5R 1 1X\XmXmdkk* '')rr)&__name__ __module__ __qualname____firstlineno____doc__ model_type attribute_maprintlisttuple__annotations__rrrr rr rrfloatrboolrr r!r#strr$r%r&r(r)r+r-r2__static_attributes__ __classcell__)r5s@r6r r sa  DJ#*)M 57Jd3i%S/1645Jd3i%S/15L##'cDj'Is*rMsK..3#=>D($D(?D(N  r8