Added yaml config files from the Wayback Machine into config directory

segm/config/20240604211922-ade20k-seg_base_deit_linear-variant.yml

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+algorithm_kwargs:
+  batch_size: 1
+  eval_freq: 1
+  num_epochs: 64
+  start_epoch: 0
+amp: false
+dataset_kwargs:
+  batch_size: 1
+  crop_size: 512
+  dataset: ade20k
+  image_size: 512
+  normalization: deit
+  num_workers: 10
+  re_mode: pixel
+  split: train
+debug: false
+inference_kwargs:
+  im_size: 512
+  window_size: 512
+  window_stride: 512
+net_kwargs:
+  backbone: vit_deit_base_distilled_patch16_384
+  d_model: 768
+  decoder:
+    n_cls: 150
+    name: linear
+  distilled: true
+  drop_path_rate: 0.1
+  dropout: 0.0
+  image_size: !!python/tuple
+  - 512
+  - 512
+  mlp_ratio: 4
+  n_cls: 150
+  n_heads: 12
+  n_layers: 12
+  normalization: deit
+  patch_size: 16
+optimizer_kwargs:
+  clip_grad: null
+  cooldown_epochs: 10
+  decay_rate: 0.1
+  epochs: 64
+  iter_max: 161728
+  lr: 0.001
+  min_lr: 1.0e-05
+  momentum: 0.9
+  opt: sgd
+  poly_power: 0.9
+  poly_step_size: 1
+  sched: polynomial
+  warmup_epochs: 0
+  warmup_lr: 1.0e-06
+  weight_decay: 0.0
+resume: true
+seed: 2
+version: normal
+world_batch_size: 8

segm/config/20240604211922-ade20k-seg_base_deit_mask-variant.yml

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+algorithm_kwargs:
+  batch_size: 1
+  eval_freq: 2
+  num_epochs: 64
+  start_epoch: 18
+amp: false
+dataset_kwargs:
+  batch_size: 1
+  crop_size: 512
+  dataset: ade20k
+  image_size: 512
+  normalization: deit
+  num_workers: 10
+  re_mode: pixel
+  split: train
+debug: false
+inference_kwargs:
+  im_size: 512
+  window_size: 512
+  window_stride: 512
+net_kwargs:
+  backbone: vit_deit_base_distilled_patch16_384
+  d_model: 768
+  decoder:
+    drop_path_rate: 0.0
+    dropout: 0.1
+    n_cls: 150
+    n_layers: 2
+    name: mask_transformer_l2.u1.d768
+  distilled: true
+  drop_path_rate: 0.1
+  dropout: 0.0
+  image_size: !!python/tuple
+  - 512
+  - 512
+  mlp_ratio: 4
+  n_cls: 150
+  n_heads: 12
+  n_layers: 12
+  normalization: deit
+  patch_size: 16
+optimizer_kwargs:
+  clip_grad: null
+  epochs: 64
+  iter_max: 161728
+  iter_warmup: 0.0
+  lr: 0.001
+  min_lr: 1.0e-05
+  momentum: 0.9
+  opt: sgd
+  poly_power: 0.9
+  poly_step_size: 1
+  sched: polynomial
+  weight_decay: 0.0
+resume: true
+seed: 3
+version: normal
+world_batch_size: 8

segm/config/20240604211922-ade20k-seg_base_mask-variant.yml

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+algorithm_kwargs:
+  batch_size: 1
+  eval_freq: 2
+  num_epochs: 64
+  start_epoch: 0
+amp: false
+dataset_kwargs:
+  batch_size: 1
+  crop_size: 512
+  dataset: ade20k
+  image_size: 512
+  normalization: vit
+  num_workers: 10
+  split: train
+debug: false
+inference_kwargs:
+  im_size: 512
+  window_size: 512
+  window_stride: 512
+net_kwargs:
+  backbone: vit_base_patch16_384
+  d_model: 768
+  decoder:
+    drop_path_rate: 0.0
+    dropout: 0.1
+    n_cls: 150
+    n_layers: 2
+    name: mask_transformer
+  distilled: false
+  drop_path_rate: 0.1
+  dropout: 0.0
+  image_size: !!python/tuple
+  - 512
+  - 512
+  n_cls: 150
+  n_heads: 12
+  n_layers: 12
+  normalization: vit
+  patch_size: 16
+optimizer_kwargs:
+  clip_grad: null
+  epochs: 64
+  iter_max: 161728
+  iter_warmup: 0.0
+  lr: 0.001
+  min_lr: 1.0e-05
+  momentum: 0.9
+  opt: sgd
+  poly_power: 0.9
+  poly_step_size: 1
+  sched: polynomial
+  weight_decay: 0.0
+resume: true
+version: normal
+world_batch_size: 8

segm/config/20240604211922-ade20k-seg_small_mask-variant.yml

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+algorithm_kwargs:
+  batch_size: 2
+  eval_freq: 2
+  num_epochs: 64
+  start_epoch: 0
+amp: false
+dataset_kwargs:
+  batch_size: 2
+  crop_size: 512
+  dataset: ade20k
+  image_size: 512
+  normalization: vit
+  num_workers: 10
+  split: train
+debug: false
+inference_kwargs:
+  im_size: 512
+  window_size: 512
+  window_stride: 512
+net_kwargs:
+  backbone: vit_small_patch16_384
+  d_model: 384
+  decoder:
+    drop_path_rate: 0.0
+    dropout: 0.1
+    n_cls: 150
+    n_layers: 2
+    name: mask_transformer
+  distilled: false
+  drop_path_rate: 0.1
+  dropout: 0.0
+  image_size: !!python/tuple
+  - 512
+  - 512
+  n_cls: 150
+  n_heads: 6
+  n_layers: 12
+  normalization: vit
+  patch_size: 16
+optimizer_kwargs:
+  clip_grad: null
+  epochs: 64
+  iter_max: 161728
+  iter_warmup: 0.0
+  lr: 0.001
+  min_lr: 1.0e-05
+  momentum: 0.9
+  opt: sgd
+  poly_power: 0.9
+  poly_step_size: 1
+  sched: polynomial
+  weight_decay: 0.0
+resume: true
+version: normal
+world_batch_size: 8

segm/config/20240604211922-ade20k-seg_tiny_mask-variant.yml

@@ -0,0 +1,55 @@
+algorithm_kwargs:
+  batch_size: 2
+  eval_freq: 2
+  num_epochs: 64
+  start_epoch: 0
+amp: false
+dataset_kwargs:
+  batch_size: 2
+  crop_size: 512
+  dataset: ade20k
+  image_size: 512
+  normalization: vit
+  num_workers: 10
+  split: train
+debug: false
+inference_kwargs:
+  im_size: 512
+  window_size: 512
+  window_stride: 512
+net_kwargs:
+  backbone: vit_tiny_patch16_384
+  d_model: 192
+  decoder:
+    drop_path_rate: 0.0
+    dropout: 0.1
+    n_cls: 150
+    n_layers: 2
+    name: mask_transformer
+  distilled: false
+  drop_path_rate: 0.1
+  dropout: 0.0
+  image_size: !!python/tuple
+  - 512
+  - 512
+  n_cls: 150
+  n_heads: 3
+  n_layers: 12
+  normalization: vit
+  patch_size: 16
+optimizer_kwargs:
+  clip_grad: null
+  epochs: 64
+  iter_max: 161728
+  iter_warmup: 0.0
+  lr: 0.001
+  min_lr: 1.0e-05
+  momentum: 0.9
+  opt: sgd
+  poly_power: 0.9
+  poly_step_size: 1
+  sched: polynomial
+  weight_decay: 0.0
+resume: true
+version: normal
+world_batch_size: 8

segm/config/20240604211922-cityscapes-seg_large_mask.yml

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+algorithm_kwargs:
+  batch_size: 1
+  eval_freq: 8
+  num_epochs: 216
+  start_epoch: 214
+amp: false
+dataset_kwargs:
+  batch_size: 1
+  crop_size: 768
+  dataset: cityscapes
+  image_size: 1024
+  normalization: vit
+  num_workers: 10
+  split: train
+inference_kwargs:
+  im_size: 1024
+  window_size: 768
+  window_stride: 512
+net_kwargs:
+  backbone: vit_large_patch16_384
+  d_model: 1024
+  decoder:
+    drop_path_rate: 0.0
+    dropout: 0.1
+    n_cls: 19
+    n_layers: 1
+    name: mask_transformer
+  drop_path_rate: 0.1
+  dropout: 0.0
+  image_size: !!python/tuple
+  - 768
+  - 768
+  n_cls: 19
+  n_heads: 16
+  n_layers: 24
+  normalization: vit
+  patch_size: 16
+optimizer_kwargs:
+  clip_grad: null
+  epochs: 216
+  iter_max: 80352
+  iter_warmup: 0.0
+  lr: 0.01
+  min_lr: 1.0e-05
+  momentum: 0.9
+  opt: sgd
+  poly_power: 0.9
+  poly_step_size: 1
+  sched: polynomial
+  weight_decay: 0.0
+resume: true
+version: normal
+world_batch_size: 8