^j{ jdZddlmZddlmZddlmZedeGdd eZd gZy ) zGLPN model configuration)strict)PreTrainedConfig)auto_docstringzvinvino02/glpn-kitti) checkpointceZdZUdZdZdZeed<dZeed<dZ e ee edfzed <d Z e ee edfzed <d Z e ee edfzed <dZe ee edfzed<dZe ee edfzed<dZe ee edfzed<dZe ee edfzed<dZeed<dZeezed<dZeezed<dZeed<dZeezed<dZeed <d!Zeed"<d#Zeed$<d%Zeed&<y')( GLPNConfiga num_encoder_blocks (`int`, *optional*, defaults to 4): The number of encoder blocks (i.e. stages in the Mix Transformer encoder). depths (`list[int]`, *optional*, defaults to `[2, 2, 2, 2]`): The number of layers in each encoder block. sr_ratios (`list[int]`, *optional*, defaults to `[8, 4, 2, 1]`): Sequence reduction ratios in each encoder block. patch_sizes (`list[int]`, *optional*, defaults to `[7, 3, 3, 3]`): Patch size before each encoder block. strides (`list[int]`, *optional*, defaults to `[4, 2, 2, 2]`): Stride before each encoder block. num_attention_heads (`list[int]`, *optional*, defaults to `[1, 2, 5, 8]`): Number of attention heads for each attention layer in each block of the Transformer encoder. mlp_ratios (`list[int]`, *optional*, defaults to `[4, 4, 4, 4]`): Ratio of the size of the hidden layer compared to the size of the input layer of the Mix FFNs in the encoder blocks. decoder_hidden_size (`int`, *optional*, defaults to 64): The dimension of the decoder. max_depth (`int`, *optional*, defaults to 10): The maximum depth of the decoder. head_in_index (`int`, *optional*, defaults to -1): The index of the features to use in the head. Example: ```python >>> from transformers import GLPNModel, GLPNConfig >>> # Initializing a GLPN vinvino02/glpn-kitti style configuration >>> configuration = GLPNConfig() >>> # Initializing a model from the vinvino02/glpn-kitti style configuration >>> model = GLPNModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```glpnr num_channelsnum_encoder_blocks)rrr.depths)r r sr_ratios) @ hidden_sizes)rrr patch_sizes)r rrrstrides)rrrnum_attention_heads)r r r r mlp_ratiosgelu hidden_actghidden_dropout_probattention_probs_dropout_probg{Gz?initializer_rangeg?drop_path_rategư>layer_norm_epsrdecoder_hidden_size max_depth head_in_indexN)__name__ __module__ __qualname____doc__ model_typer int__annotations__r rlisttuplerrrrrrrstrr floatr!r"r#r$r%r'r)v/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/transformers/models/glpn/configuration_glpn.pyr r sL$ LJL#*6FDIc3h '6-9ItCy5c?*90BL$s)eCHo-B/;KcU38_,;+7GT#YsCx (77CcU38_4C.:JS E#s(O+:J'**03 %#+3#u#"%NECK% NE !!IsM3r6r N) r-huggingface_hub.dataclassesrconfiguration_utilsrutilsrr __all__r5r6r7r<sG.3#12:!:3:z .r6