7 files changed, 0 insertions, 271 deletions
diff --git a/training/conf/criterion/ctc.yaml b/training/conf/criterion/ctc.yaml
deleted file mode 100644
index 0677c06..0000000
--- a/training/conf/criterion/ctc.yaml
+++ /dev/null
@@ -1,2 +0,0 @@
-_target_: torch.nn.CTCLoss
-zero_infinity: true
diff --git a/training/conf/experiment/conv_perceiver_lines.yaml b/training/conf/experiment/conv_perceiver_lines.yaml
deleted file mode 100644
index 26fe232..0000000
--- a/training/conf/experiment/conv_perceiver_lines.yaml
+++ /dev/null
@@ -1,76 +0,0 @@
-# @package _global_
-
-defaults:
-  - override /criterion: cross_entropy
-  - override /callbacks: htr
-  - override /datamodule: iam_lines
-  - override /network: conv_perceiver
-  - override /model: lit_perceiver
-  - override /lr_scheduler: null
-  - override /optimizer: null
-
-tags: [lines, perceiver]
-epochs: &epochs 260
-ignore_index: &ignore_index 3
-num_classes: &num_classes 57
-max_output_len: &max_output_len 89
-summary: [[1, 1, 56, 1024]]
-
-logger:
-  wandb:
-    tags: ${tags}
-
-criterion:
-  ignore_index: *ignore_index
-  # label_smoothing: 0.1
-
-callbacks:
-  stochastic_weight_averaging:
-    _target_: pytorch_lightning.callbacks.StochasticWeightAveraging
-    swa_epoch_start: 0.75
-    swa_lrs: 1.0e-5
-    annealing_epochs: 10
-    annealing_strategy: cos
-    device: null
-
-optimizer:
-  _target_: adan_pytorch.Adan
-  lr: 1.0e-4
-  betas: [0.02, 0.08, 0.01]
-  weight_decay: 0.02
-
-lr_scheduler:
-  _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
-  mode: min
-  factor: 0.8
-  patience: 10
-  threshold: 1.0e-4
-  threshold_mode: rel
-  cooldown: 0
-  min_lr: 1.0e-5
-  eps: 1.0e-8
-  verbose: false
-  interval: epoch
-  monitor: val/cer
-
-datamodule:
-  batch_size: 8
-  train_fraction: 0.95
-
-network:
-  input_dims: [1, 1, 56, 1024]
-  num_classes: *num_classes
-  pad_index: *ignore_index
-  encoder:
-    depth: 5
-  decoder:
-    depth: 6
-
-model:
-  max_output_len: *max_output_len
-
-trainer:
-  gradient_clip_val: 1.0
-  stochastic_weight_avg: true
-  max_epochs: *epochs
-  accumulate_grad_batches: 1
diff --git a/training/conf/experiment/vq_transformer_lines.yaml b/training/conf/experiment/vq_transformer_lines.yaml
deleted file mode 100644
index dbd8a3b..0000000
--- a/training/conf/experiment/vq_transformer_lines.yaml
+++ /dev/null
@@ -1,81 +0,0 @@
-# @package _global_
-
-defaults:
-  - override /criterion: cross_entropy
-  - override /callbacks: htr
-  - override /datamodule: iam_lines
-  - override /network: vq_transformer
-  - override /model: lit_vq_transformer
-  - override /lr_scheduler: null
-  - override /optimizer: null
-
-tags: [lines]
-epochs: &epochs 200
-ignore_index: &ignore_index 3
-num_classes: &num_classes 57
-max_output_len: &max_output_len 89
-summary: [[1, 1, 56, 1024], [1, 89]]
-
-logger:
-  wandb:
-    tags: ${tags}
-    # id: 342qvr1p
-
-criterion:
-  ignore_index: *ignore_index
-  label_smoothing: 0.05
-
-callbacks:
-  stochastic_weight_averaging:
-    _target_: pytorch_lightning.callbacks.StochasticWeightAveraging
-    swa_epoch_start: 0.75
-    swa_lrs: 1.0e-5
-    annealing_epochs: 10
-    annealing_strategy: cos
-    device: null
-
-optimizer:
-  _target_: torch.optim.RAdam
-  lr: 3.0e-4
-  betas: [0.9, 0.999]
-  weight_decay: 0
-  eps: 1.0e-8
-
-lr_scheduler:
-  _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
-  mode: min
-  factor: 0.8
-  patience: 10
-  threshold: 1.0e-4
-  threshold_mode: rel
-  cooldown: 0
-  min_lr: 1.0e-5
-  eps: 1.0e-8
-  verbose: false
-  interval: epoch
-  monitor: val/cer
-
-datamodule:
-  batch_size: 8
-  train_fraction: 0.95
-
-network:
-  input_dims: [1, 1, 56, 1024]
-  num_classes: *num_classes
-  pad_index: *ignore_index
-  encoder:
-    depth: 5
-  decoder:
-    depth: 6
-  pixel_embedding:
-    shape: [1, 127]
-
-model:
-  max_output_len: *max_output_len
-  vq_loss_weight: 0.1
-
-trainer:
-  gradient_clip_val: 1.0
-  max_epochs: *epochs
-  accumulate_grad_batches: 1
-  # resume_from_checkpoint: /home/aktersnurra/projects/text-recognizer/training/logs/runs/2022-06-27/00-37-40/checkpoints/last.ckpt
diff --git a/training/conf/model/lit_perceiver.yaml b/training/conf/model/lit_perceiver.yaml
deleted file mode 100644
index 6d1ec82..0000000
--- a/training/conf/model/lit_perceiver.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-_target_: text_recognizer.models.LitPerceiver
-max_output_len: 682
-start_token: <s>
-end_token: <e>
-pad_token: <p>
diff --git a/training/conf/model/lit_vq_transformer.yaml b/training/conf/model/lit_vq_transformer.yaml
deleted file mode 100644
index 4173151..0000000
--- a/training/conf/model/lit_vq_transformer.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-_target_: text_recognizer.models.LitVqTransformer
-max_output_len: 682
-start_token: <s>
-end_token: <e>
-pad_token: <p>
diff --git a/training/conf/network/conv_perceiver.yaml b/training/conf/network/conv_perceiver.yaml
deleted file mode 100644
index 2e12db9..0000000
--- a/training/conf/network/conv_perceiver.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-_target_: text_recognizer.networks.ConvPerceiver
-input_dims: [1, 1, 576, 640]
-hidden_dim: &hidden_dim 128
-num_classes: &num_classes 58
-max_length: &max_length 89
-num_queries: *max_length
-queries_dim: &queries_dim 64
-pad_index: 3
-encoder:
-  _target_: text_recognizer.networks.EfficientNet
-  arch: b0
-  stochastic_dropout_rate: 0.2
-  bn_momentum: 0.99
-  bn_eps: 1.0e-3
-  depth: 5
-  out_channels: *hidden_dim
-decoder:
-  _target_: text_recognizer.networks.perceiver.PerceiverIO
-  dim: 192
-  cross_heads: 1
-  cross_head_dim: 64
-  num_latents: 256
-  latent_dim: 512
-  latent_heads: 8
-  depth: 6
-  queries_dim: 128
-  logits_dim: *num_classes
-pixel_embedding:
-  _target_: text_recognizer.networks.transformer.embeddings.axial.AxialPositionalEmbeddingImage
-  dim: 64
-  axial_shape: [3, 64]
-  axial_dims: [32, 32]
-query_pos_emb:
-  _target_: text_recognizer.networks.transformer.embeddings.absolute.AbsolutePositionalEmbedding
-  dim: 64
-  max_seq_len: *max_length
-  l2norm_embed: true
diff --git a/training/conf/network/vq_transformer.yaml b/training/conf/network/vq_transformer.yaml
deleted file mode 100644
index d62a4b7..0000000
--- a/training/conf/network/vq_transformer.yaml
+++ /dev/null
@@ -1,65 +0,0 @@
-_target_: text_recognizer.networks.VqTransformer
-input_dims: [1, 1, 576, 640]
-hidden_dim: &hidden_dim 144
-num_classes: 58
-pad_index: 3
-encoder:
-  _target_: text_recognizer.networks.EfficientNet
-  arch: b0
-  stochastic_dropout_rate: 0.2
-  bn_momentum: 0.99
-  bn_eps: 1.0e-3
-  depth: 5
-  out_channels: *hidden_dim
-decoder:
-  _target_: text_recognizer.networks.transformer.Decoder
-  depth: 6
-  block:
-    _target_: text_recognizer.networks.transformer.DecoderBlock
-    self_attn:
-      _target_: text_recognizer.networks.transformer.Attention
-      dim: *hidden_dim
-      num_heads: 8
-      dim_head: 64
-      dropout_rate: &dropout_rate 0.4
-      causal: true
-      rotary_embedding:
-        _target_: text_recognizer.networks.transformer.RotaryEmbedding
-        dim: 64
-    cross_attn:
-      _target_: text_recognizer.networks.transformer.Attention
-      dim: *hidden_dim
-      num_heads: 8
-      dim_head: 64
-      dropout_rate: *dropout_rate
-      causal: false
-    norm:
-      _target_: text_recognizer.networks.transformer.RMSNorm
-      dim: *hidden_dim
-    ff:
-      _target_: text_recognizer.networks.transformer.FeedForward
-      dim: *hidden_dim
-      dim_out: null
-      expansion_factor: 2
-      glu: true
-      dropout_rate: *dropout_rate
-pixel_embedding:
-  _target_: text_recognizer.networks.transformer.AxialPositionalEmbedding
-  dim: *hidden_dim
-  shape: [18, 79]
-quantizer:
-  _target_: text_recognizer.networks.quantizer.VectorQuantizer
-  input_dim: *hidden_dim
-  codebook:
-    _target_: text_recognizer.networks.quantizer.CosineSimilarityCodebook
-    dim: 16
-    codebook_size: 64
-    kmeans_init: true
-    kmeans_iters: 10
-    decay: 0.8
-    eps: 1.0e-5
-    threshold_dead: 2
-    temperature: 0.0
-  commitment: 0.25
-  ort_reg_weight: 10
-  ort_reg_max_codes: 64