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-rw-r--r--training/conf/criterion/ctc.yaml2
-rw-r--r--training/conf/experiment/conv_perceiver_lines.yaml76
-rw-r--r--training/conf/experiment/vq_transformer_lines.yaml81
-rw-r--r--training/conf/model/lit_perceiver.yaml5
-rw-r--r--training/conf/model/lit_vq_transformer.yaml5
-rw-r--r--training/conf/network/conv_perceiver.yaml37
-rw-r--r--training/conf/network/vq_transformer.yaml65
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