o ZŽhÈã@s@dZddlmZddlmZe e¡ZGdd„deƒZdgZ dS)zVideoMAE model configurationé)ÚPretrainedConfig)ÚloggingcsPeZdZdZdZ               d‡fdd„ Z‡ZS)ÚVideoMAEConfigad This is the configuration class to store the configuration of a [`VideoMAEModel`]. It is used to instantiate a VideoMAE 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 VideoMAE [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) 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 size (resolution) of each image. patch_size (`int`, *optional*, defaults to 16): The size (resolution) of each patch. num_channels (`int`, *optional*, defaults to 3): The number of input channels. num_frames (`int`, *optional*, defaults to 16): The number of frames in each video. tubelet_size (`int`, *optional*, defaults to 2): The number of tubelets. hidden_size (`int`, *optional*, defaults to 768): Dimensionality of the encoder layers and the pooler layer. num_hidden_layers (`int`, *optional*, defaults to 12): Number of hidden layers in the Transformer encoder. num_attention_heads (`int`, *optional*, defaults to 12): Number of attention heads for each attention layer in the Transformer encoder. intermediate_size (`int`, *optional*, defaults to 3072): Dimensionality of the "intermediate" (i.e., feed-forward) layer in the Transformer encoder. 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. layer_norm_eps (`float`, *optional*, defaults to 1e-12): The epsilon used by the layer normalization layers. qkv_bias (`bool`, *optional*, defaults to `True`): Whether to add a bias to the queries, keys and values. use_mean_pooling (`bool`, *optional*, defaults to `True`): Whether to mean pool the final hidden states instead of using the final hidden state of the [CLS] token. decoder_num_attention_heads (`int`, *optional*, defaults to 6): Number of attention heads for each attention layer in the decoder. decoder_hidden_size (`int`, *optional*, defaults to 384): Dimensionality of the decoder. decoder_num_hidden_layers (`int`, *optional*, defaults to 4): Number of hidden layers in the decoder. decoder_intermediate_size (`int`, *optional*, defaults to 1536): Dimensionality of the "intermediate" (i.e., feed-forward) layer in the decoder. norm_pix_loss (`bool`, *optional*, defaults to `True`): Whether to normalize the target patch pixels. Example: ```python >>> from transformers import VideoMAEConfig, VideoMAEModel >>> # Initializing a VideoMAE videomae-base style configuration >>> configuration = VideoMAEConfig() >>> # Randomly initializing a model from the configuration >>> model = VideoMAEModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```Zvideomaeéàérééé é Úgeluçç{®Gáz”?çê-™—q=Téé€ééc s”tƒjdi|¤Ž||_||_||_||_||_||_||_||_ | |_ | |_ | |_ | |_ | |_||_||_||_||_||_||_||_||_dS)N©)ÚsuperÚ__init__Ú image_sizeÚ patch_sizeÚ num_channelsÚ num_framesÚ tubelet_sizeÚ hidden_sizeÚnum_hidden_layersÚnum_attention_headsÚintermediate_sizeÚ hidden_actÚhidden_dropout_probÚattention_probs_dropout_probÚinitializer_rangeÚlayer_norm_epsÚqkv_biasÚuse_mean_poolingÚdecoder_num_attention_headsÚdecoder_hidden_sizeÚdecoder_num_hidden_layersÚdecoder_intermediate_sizeÚ norm_pix_loss)Úselfrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*Úkwargs©Ú __class__rúb/var/www/auris/lib/python3.10/site-packages/transformers/models/videomae/configuration_videomae.pyr`s, zVideoMAEConfig.__init__)rrrrrrr r r r r r r rTTrrrrT)Ú__name__Ú __module__Ú __qualname__Ú__doc__Z model_typerÚ __classcell__rrr-r/rs2EêrN) r3Zconfiguration_utilsrÚutilsrZ get_loggerr0ÚloggerrÚ__all__rrrr/Ús     |