huggingface / pytorch-image-models File Size

Intro

File size measurements show the distribution of size of files.
Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.

Learn more...

File Size Overall

There are 283 files with 79,805 lines of code.

10 very long files (16,713 lines of code)
35 long files (24,844 lines of code)
77 medium size files (26,803 lines of codeclsfd_ftr_w_mp_ins)
40 small files (5,698 lines of code)
121 very small files (5,747 lines of code)

Legend:

1001+

501-1000

201-500

101-200

1-100

explore: grouped by folders | grouped by size | sunburst | 3D view

File Size per Extension

1001+

501-1000

201-500

101-200

1-100

File Size per Logical Decomposition

primary

1001+

501-1000

201-500

101-200

1-100

Longest Files (Top 50)

File	# lines	# units
vision_transformer.py in timm/models	3361	193
byobnet.py in timm/models	2148	115
efficientnet.py in timm/models	2024	153
maxxvit.py in timm/models	1926	129
resnet.py in timm/models	1520	110
eva.py in timm/models	1286	52
fastvit.py in timm/models	1191	58
train.py in root	1155	6
naflexvit.py in timm/models	1076	47
mobilenetv3.py in timm/models	1026	54
convnext.py in timm/models	980	53
efficientvit_mit.py in timm/models	974	59
mvitv2.py in timm/models	923	39
_optim_factory.py in timm/optim	916	24
cspnet.py in timm/models	904	57
regnet.py in timm/models	900	67
metaformer.py in timm/models	863	57
hrnet.py in timm/models	830	42
levit.py in timm/models	773	68
xcit.py in timm/models	768	57
swin_transformer_v2_cr.py in timm/models	766	56
volo.py in timm/models	763	48
resnetv2.py in timm/models	760	54
swin_transformer_v2.py in timm/models	753	46
swin_transformer.py in timm/models	747	43
ghostnet.py in timm/models	745	44
nfnet.py in timm/models	710	58
auto_augment.py in timm/data	707	64
hiera.py in timm/models	702	38
hgnet.py in timm/models	670	41
efficientformer_v2.py in timm/models	658	42
davit.py in timm/models	657	44
mobilenetv5.py in timm/models	647	25
nextvit.py in timm/models	617	36
coat.py in timm/models	611	36
tiny_vit.py in timm/models	601	43
benchmark.py in root	596	19
mambaout.py in timm/models	564	38
_efficientnet_blocks.py in timm/models	555	25
beit.py in timm/models	551	31
efficientvit_msra.py in timm/models	542	40
vision_transformer_sam.py in timm/models	540	28
gcvit.py in timm/models	527	38
vision_transformer_relpos.py in timm/models	515	37
edgenext.py in timm/models	509	30
efficientformer.py in timm/models	499	42
vitamin.py in timm/models	498	29
naflex_transforms.py in timm/data	495	23
mlp_mixer.py in timm/models	493	41
crossvit.py in timm/models	491	33

Files With Most Units (Top 50)

File	# lines	# units
vision_transformer.py in timm/models	3361	193
efficientnet.py in timm/models	2024	153
maxxvit.py in timm/models	1926	129
byobnet.py in timm/models	2148	115
resnet.py in timm/models	1520	110
levit.py in timm/models	773	68
regnet.py in timm/models	900	67
auto_augment.py in timm/data	707	64
efficientvit_mit.py in timm/models	974	59
fastvit.py in timm/models	1191	58
nfnet.py in timm/models	710	58
xcit.py in timm/models	768	57
metaformer.py in timm/models	863	57
cspnet.py in timm/models	904	57
swin_transformer_v2_cr.py in timm/models	766	56
resnetv2.py in timm/models	760	54
mobilenetv3.py in timm/models	1026	54
convnext.py in timm/models	980	53
eva.py in timm/models	1286	52
volo.py in timm/models	763	48
naflexvit.py in timm/models	1076	47
swin_transformer_v2.py in timm/models	753	46
davit.py in timm/models	657	44
ghostnet.py in timm/models	745	44
swin_transformer.py in timm/models	747	43
tiny_vit.py in timm/models	601	43
hrnet.py in timm/models	830	42
efficientformer_v2.py in timm/models	658	42
repvit.py in timm/models	431	42
efficientformer.py in timm/models	499	42
hgnet.py in timm/models	670	41
mlp_mixer.py in timm/models	493	41
efficientvit_msra.py in timm/models	542	40
mvitv2.py in timm/models	923	39
mambaout.py in timm/models	564	38
hiera.py in timm/models	702	38
gcvit.py in timm/models	527	38
vision_transformer_relpos.py in timm/models	515	37
activations_me.py in timm/layers	120	37
swiftformer.py in timm/models	472	36
nextvit.py in timm/models	617	36
shvit.py in timm/models	395	36
coat.py in timm/models	611	36
transforms.py in timm/data	376	35
nest.py in timm/models	438	33
pvt_v2.py in timm/models	445	33
dla.py in timm/models	415	33
cait.py in timm/models	469	33
crossvit.py in timm/models	491	33
fasternet.py in timm/models	351	32

Files With Long Lines (Top 33)

There are 33 files with lines longer than 120 characters. In total, there are 438 long lines.

File	# lines	# units	# long lines
resnet.py in timm/models	1520	110	111
efficientnet.py in timm/models	2024	153	89
vision_transformer.py in timm/models	3361	193	34
byobnet.py in timm/models	2148	115	21
maxxvit.py in timm/models	1926	129	17
nfnet.py in timm/models	710	58	17
mobilenetv3.py in timm/models	1026	54	16
regnet.py in timm/models	900	67	14
byoanet.py in timm/models	359	17	14
cspnet.py in timm/models	904	57	14
convnext.py in timm/models	980	53	12
vision_transformer_hybrid.py in timm/models	303	20	10
vision_transformer_relpos.py in timm/models	515	37	9
naflex_dataset.py in timm/data	311	10	8
mlp_mixer.py in timm/models	493	41	8
swin_transformer.py in timm/models	747	43	7
senet.py in timm/models	320	29	6
swin_transformer_v2.py in timm/models	753	46	6
gcvit.py in timm/models	527	38	5
sequencer.py in timm/models	462	29	4
swin_transformer_v2_cr.py in timm/models	766	56	3
patch_embed.py in timm/layers	384	22	2
adopt.py in timm/optim	398	11	1
naflex_transforms.py in timm/data	495	23	1
nasnet.py in timm/models	448	28	1
swiftformer.py in timm/models	472	36	1
efficientvit_msra.py in timm/models	542	40	1
volo.py in timm/models	763	48	1
beit.py in timm/models	551	31	1
activations_me.py in timm/layers	120	37	1
attention2d.py in timm/layers	256	11	1
convert_nest_flax.py in convert	66	1	1
validate.py in root	449	4	1