Remove unused configs

1 files changed, 0 insertions, 88 deletions

diff --git a/training/conf/experiment/vqgan_htr_char_iam_lines.yaml b/training/conf/experiment/vqgan_htr_char_iam_lines.yaml
deleted file mode 100644
index 27fdfda..0000000
--- a/training/conf/experiment/vqgan_htr_char_iam_lines.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-defaults:
-  - override /mapping: null
-  - override /criterion: null
-  - override /datamodule: null
-  - override /network: null
-  - override /model: null
-  - override /lr_schedulers: null
-  # - override /optimizers: null
-
-
-criterion:
-  _target_: text_recognizer.criterions.label_smoothing.LabelSmoothingLoss
-  smoothing: 0.1 
-  ignore_index: 3
-    
-mapping:
-  _target_: text_recognizer.data.emnist_mapping.EmnistMapping
-  # extra_symbols: [ "\n" ]
-
-lr_schedulers:
-  network:
-    _target_: torch.optim.lr_scheduler.CosineAnnealingLR
-    T_max: 512
-    eta_min: 4.5e-6
-    last_epoch: -1
-    interval: epoch
-    monitor: val/loss
-
-datamodule:
-  _target_: text_recognizer.data.iam_lines.IAMLines
-  batch_size: 4
-  num_workers: 12
-  train_fraction: 0.8
-  augment: false
-  pin_memory: false
-
-
-# optimizers:
-#   - _target_: madgrad.MADGRAD
-#     lr: 2.0e-4
-#     momentum: 0.9
-#     weight_decay: 0
-#     eps: 1.0e-7
-#     parameters: network
-
-network:
-  _target_: text_recognizer.networks.vq_transformer.VqTransformer
-  input_dims: [1, 56, 1024]
-  encoder_dim: 32
-  hidden_dim: 32
-  dropout_rate: 0.1
-  num_classes: 58
-  pad_index: 3
-  no_grad: true
-  decoder:
-    _target_: text_recognizer.networks.transformer.Decoder
-    dim: 32
-    depth: 4
-    num_heads: 8
-    attn_fn: text_recognizer.networks.transformer.attention.Attention
-    attn_kwargs:
-      dim_head: 32
-      dropout_rate: 0.2
-    norm_fn: torch.nn.LayerNorm
-    ff_fn: text_recognizer.networks.transformer.mlp.FeedForward
-    ff_kwargs:
-      dim_out: null
-      expansion_factor: 4
-      glu: true
-      dropout_rate: 0.2
-    cross_attend: true
-    pre_norm: true
-    rotary_emb: null
-  pretrained_encoder_path: "training/logs/runs/2021-09-26/23-27-57"
-
-model:
-  _target_: text_recognizer.models.vq_transformer.VqTransformerLitModel
-  start_token: <s>
-  end_token: <e>
-  pad_token: <p>
-  max_output_len: 89  # 451
-  alpha: 0.0
-
-trainer:
-  max_epochs: 512
-  # limit_train_batches: 0.1
-  # limit_val_batches: 0.1
-  # gradient_clip_val: 0.5