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Functions207 in github.com/RuslanKhalitov/ChordMixer

⨍ Functions 207◇ Types & classes 32

↓ 10 callersMethod__init__

(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)

models/chordmixer.py:32

↓ 3 callersMethod__init__

(self, backbone, dim, linear_decoder=False, n_class=2)

↓ 3 callersMethod_calculate_loss

(self, batch, mode)

↓ 3 callersMethod_calculate_loss

(self, batch, mode)

↓ 3 callersMethod_calculate_loss

(self, batch, mode)

↓ 3 callersMethodget_bucket_boundaries

dataloaders/genbank.py:133

↓ 3 callersMethodget_bucket_boundaries

dataloaders/lra_listops_var.py:149

↓ 3 callersMethodget_bucket_boundaries

dataloaders/longdoc.py:129

↓ 3 callersMethodget_bucket_boundaries

dataloaders/adding.py:87

↓ 3 callersFunctionmap_scheduler

( scheduler_name, optimizer, num_warmup_steps, num_training_steps )

optim/register.py:3

↓ 3 callersFunctionpolynomial_warmup_polynomial_decay

Adapted from https://github.com/huggingface/transformers/blob/v4.26.1/src/transformers/optimization.py#L173

optim/schedulers.py:122

↓ 3 callersMethodtrain_dataloader

dataloaders/lra_image.py:84

↓ 2 callersFunctionlinear_warmup_polynomial_decay

https://github.com/huggingface/transformers/blob/v4.26.1/src/transformers/optimization.py#L173

optim/schedulers.py:92

↓ 2 callersFunctionmap_norm

Maps the given normalization type to the corresponding PyTorch module. Args: norm_type (str): The normalization type ('LN', 'BN', 'G

models/chordmixer.py:87

↓ 2 callersFunctionmin_max_scale

(min_val, max_val, value)

optim/schedulers.py:4

↓ 2 callersMethodprocess_dataset

dataloaders/genbank.py:60

↓ 2 callersMethodprocess_dataset

dataloaders/lra_listops_var.py:61

↓ 2 callersMethodprocess_dataset

dataloaders/lra_text.py:32

↓ 2 callersMethodprocess_dataset

dataloaders/lra_retrieval.py:78

↓ 2 callersMethodprocess_dataset

dataloaders/longdoc.py:55

↓ 2 callersMethodprocess_dataset

dataloaders/lra_listops.py:69

↓ 1 callersFunctionPrepareGenbank

(data_path, taskname)

dataloaders/utils/preprocess_genbank.py:32

↓ 1 callersFunctionPrepareLongdoc

Adapted from https://github.com/wiedersehne/Paramixer/blob/main/long-document-clf/articles_preprocessing.py

dataloaders/utils/preprocess_longdoc.py:6

↓ 1 callersMethod__init__

dataloaders/adding.py:20

↓ 1 callersMethod_create_data_buckets

dataloaders/utils/bucket_sampler.py:36

↓ 1 callersMethod_create_iter_list

(self, data_buckets)

dataloaders/utils/bucket_sampler.py:45

↓ 1 callersMethod_get_bucket_id

(self, seq_length)

dataloaders/utils/bucket_sampler.py:75

↓ 1 callersMethod_load_from_cache

dataloaders/genbank.py:115

↓ 1 callersMethod_load_from_cache

dataloaders/lra_listops_var.py:127

↓ 1 callersMethod_load_from_cache

dataloaders/lra_text.py:89

↓ 1 callersMethod_load_from_cache

dataloaders/lra_retrieval.py:155

↓ 1 callersMethod_load_from_cache

dataloaders/longdoc.py:111

↓ 1 callersMethod_load_from_cache

dataloaders/lra_listops.py:135

↓ 1 callersMethod_save_to_cache

(self, dataset)

dataloaders/genbank.py:108

↓ 1 callersMethod_save_to_cache

(self, dataset, tokenizer, vocab)

dataloaders/lra_listops_var.py:116

↓ 1 callersMethod_save_to_cache

(self, dataset, tokenizer, vocab)

dataloaders/lra_text.py:78

↓ 1 callersMethod_save_to_cache

(self, dataset, tokenizer, vocab)

dataloaders/lra_retrieval.py:144

↓ 1 callersMethod_save_to_cache

(self, dataset)

dataloaders/longdoc.py:104

↓ 1 callersMethod_save_to_cache

(self, dataset, tokenizer, vocab)

dataloaders/lra_listops.py:124

↓ 1 callersFunctionadding

(sequences, base_length, min_len, max_len)

data/generate_adding.py:23

↓ 1 callersFunctioncli_main

(cfg: OmegaConf)

↓ 1 callersFunctiongenerator

data/generate_adding.py:54

↓ 1 callersMethodget_cache_dir

dataloaders/genbank.py:126

↓ 1 callersMethodget_cache_dir

dataloaders/lra_listops_var.py:142

↓ 1 callersMethodget_cache_dir

dataloaders/lra_text.py:104

↓ 1 callersMethodget_cache_dir

dataloaders/lra_retrieval.py:170

↓ 1 callersMethodget_cache_dir

dataloaders/longdoc.py:122

↓ 1 callersMethodget_cache_dir

dataloaders/adding.py:80

↓ 1 callersMethodget_cache_dir

dataloaders/lra_listops.py:150

↓ 1 callersFunctionlinear_warmup_cosine_decay

https://github.com/huggingface/transformers/blob/v4.26.1/src/transformers/optimization.py#L104

optim/schedulers.py:7

↓ 1 callersFunctionlinear_warmup_linear_decay

https://github.com/huggingface/transformers/blob/v4.26.1/src/transformers/optimization.py#L75

optim/schedulers.py:74

↓ 1 callersFunctionmap_dataset

( data_dir, taskname, num_workers, batch_size, diff_lengths )

dataloaders/register.py:13

↓ 1 callersFunctionsampler

Function to sample length values

data/generate_adding.py:13

↓ 1 callersMethodtotal_steps

↓ 1 callersMethodtotal_steps

↓ 1 callersMethodtotal_steps

FunctionLoadGrayscale

dataloaders/lra_pathfinder.py:13

FunctionLoadGrayscale

dataloaders/lra_pathfinderx.py:17

Method__getitem__

dataloaders/lra_pathfinder.py:45

Method__getitem__

dataloaders/lra_pathfinderx.py:49

Method__getitem__

dataloaders/adding.py:23

Method__getitem__

Returns: tuple (sample, target)

dataloaders/utils/masking_var_lengths.py:22

(self, backbone, cfg, args)

(self, backbone, cfg, args)

(self, backbone, cfg, args)

(self, threshold=0.04, dist_sync_on_step=False)

optim/custom_metrics.py:5

( self, data_dir, taskname, num_workers, batch_size, **kwargs,

dataloaders/genbank.py:24

( self, data_dir, batch_size, num_workers, max_length=2048, **

dataloaders/lra_listops_var.py:28

( self, data_dir, num_workers, batch_size )

dataloaders/lra_image.py:11

(self, data_dir, transform=None)

dataloaders/lra_pathfinder.py:21

( self, data_dir, num_workers, batch_size, )

dataloaders/lra_pathfinder.py:54

(self, data_dir, transform=None)

dataloaders/lra_pathfinderx.py:25

( self, data_dir, num_workers, batch_size )

dataloaders/lra_pathfinderx.py:58

( self, data_dir, num_workers, batch_size )

dataloaders/lra_text.py:15

( self, data_dir, num_workers, batch_size, **kwargs, )

dataloaders/lra_retrieval.py:17

( self, data_dir, taskname, num_workers, batch_size, **kwargs,

dataloaders/longdoc.py:24

( self, data_dir, taskname, num_workers, batch_size, **kwargs,

dataloaders/adding.py:31

( self, data_dir, batch_size, num_workers, max_length=2048, ap

dataloaders/lra_listops.py:26

(self, df, mask_ratio=0.2, mask_value=-1)

dataloaders/utils/masking_var_lengths.py:17

(self, lengths, bucket_boundaries, batch_size=4)

dataloaders/utils/bucket_sampler.py:19

(self, track_size)

models/chordmixer_circular_pad.py:19

(self, embedding_size)

models/chordmixer.py:57

(self, embedding_size, n_groups)

models/chordmixer.py:76

(self, track_size)

models/chordmixer.py:120

(self, track_size)

models/chordmixer.py:155

( self, embedding_size, track_size, hidden_size, mlp_dropout,

models/chordmixer.py:204

( self, max_seq_len, track_size, hidden_size, mlp_dropout, lay

models/chordmixer.py:260

(self, embedding_size, output_size)

models/chordmixer.py:315

(self, embedding_size, output_size)

models/chordmixer.py:336

(self, input_size, output_size, embedding_type, decoder, max_seq_len,

models/chordmixer.py:363

(self, input_size, output_size, embedding_type, decoder, max_seq_len,

models/chordmixer.py:435

dataloaders/utils/bucket_sampler.py:25

dataloaders/lra_pathfinder.py:42

dataloaders/lra_pathfinderx.py:46

dataloaders/adding.py:27

dataloaders/utils/masking_var_lengths.py:49

dataloaders/utils/bucket_sampler.py:33

Method_cache_dir_name

dataloaders/genbank.py:123

Method_cache_dir_name

dataloaders/lra_listops_var.py:139

Method_cache_dir_name

dataloaders/lra_text.py:101

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