tensorflow / tensor2tensor
File Size

The distribution of size of files (measured in lines of code).

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 338 files with 73,673 lines of code.
    • 6 very long files (11,300 lines of code)
    • 31 long files (20,304 lines of code)
    • 75 medium size files (23,038 lines of codeclsfd_ftr_w_mp_ins)
    • 84 small files (11,974 lines of code)
    • 142 very small files (7,057 lines of code)
15% | 27% | 31% | 16% | 9%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: zoomable circles | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py16% | 27% | 31% | 16% | 8%
js0% | 34% | 32% | 18% | 14%
cc0% | 77% | 0% | 15% | 7%
html0% | 0% | 0% | 33% | 66%
proto0% | 0% | 0% | 0% | 100%
h0% | 0% | 0% | 0% | 100%
yml0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
tensor2tensor/layers58% | 12% | 24% | 3% | <1%
tensor2tensor/models12% | 40% | 34% | 8% | 3%
tensor2tensor/utils16% | 28% | 25% | 20% | 8%
tensor2tensor/data_generators0% | 19% | 33% | 28% | 17%
tensor2tensor/rl0% | 40% | 35% | 12% | 11%
tensor2tensor/insights0% | 22% | 8% | 34% | 35%
tensor2tensor/envs0% | 0% | 48% | 34% | 17%
tensor2tensor/visualization0% | 0% | 64% | 0% | 35%
tensor2tensor/serving0% | 0% | 0% | 77% | 22%
ROOT0% | 0% | 0% | 0% | 100%
tensor2tensor0% | 0% | 0% | 0% | 100%
tensor2tensor/metrics0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
common_attention.py
in tensor2tensor/layers
 3314 126
common_layers.py
in tensor2tensor/layers
 2320 172
transformer.py
in tensor2tensor/models
 1978 129
t2t_model.py
in tensor2tensor/utils
 1527 72
modalities.py
in tensor2tensor/layers
 1088 70
autoencoders.py
in tensor2tensor/models/research
 1073 63
discretization.py
in tensor2tensor/layers
 951 29
mtf_transformer.py
in tensor2tensor/models
 903 58
image_transformer.py
in tensor2tensor/models
 835 82
transformer_vae_flow_prior.py
in tensor2tensor/models/research
 826 67
transformer_vae.py
in tensor2tensor/models/research
 826 35
text_problems.py
in tensor2tensor/data_generators
 752 108
decoding.py
in tensor2tensor/utils
 748 21
universal_transformer_util.py
in tensor2tensor/models/research
 745 21
glow_ops.py
in tensor2tensor/models/research
 713 42
image_transformer_2d.py
in tensor2tensor/models
 692 51
trainer_lib.py
in tensor2tensor/utils
 681 31
generator_utils.py
in tensor2tensor/data_generators
 665 51
trainer_model_based_params.py
in tensor2tensor/rl
 655 95
expert_utils.py
in tensor2tensor/utils
 655 47
nas_model.py
in tensor2tensor/models/neural_architecture_search
 644 26
rl.py
in tensor2tensor/models/research
 625 55
rl_utils.py
in tensor2tensor/rl
 609 49
mtf_transformer2.py
in tensor2tensor/models
 607 64
gym_env.py
in tensor2tensor/data_generators
 605 53
vqa_self_attention.py
in tensor2tensor/models/research
 603 21
problem.py
in tensor2tensor/data_generators
 593 50
evolved_transformer.py
in tensor2tensor/models
 586 14
sv2p.py
in tensor2tensor/models/video
 575 25
resnet.py
in tensor2tensor/models
 542 32
graph-visualization.js
in tensor2tensor/insights/polymer/graph_visualization
 536 23
common_image_attention.py
in tensor2tensor/layers
 529 22
pack_sequences_ops.cc
in tensor2tensor/data_generators/ops
 525 14
text_encoder.py
in tensor2tensor/data_generators
 525 67
dopamine_connector.py
in tensor2tensor/rl
 519 64
attention_lm_moe.py
in tensor2tensor/models/research
 518 30
metrics.py
in tensor2tensor/utils
 516 37
epva.py
in tensor2tensor/models/video
 493 13
common_video.py
in tensor2tensor/layers
 491 40
video_utils.py
in tensor2tensor/data_generators
 487 49
mtf_image_transformer.py
in tensor2tensor/models
 479 37
universal_transformer.py
in tensor2tensor/models/research
 456 53
nas_layers.py
in tensor2tensor/models/neural_architecture_search
 447 40
cifar.py
in tensor2tensor/data_generators
 442 46
evaluator.py
in tensor2tensor/rl
 433 25
latent_layers.py
in tensor2tensor/layers
 416 19
ppo_learner.py
in tensor2tensor/rl
 410 10
vqa_attention.py
in tensor2tensor/models/research
 400 34
wikisum.py
in tensor2tensor/data_generators/wikisum
 397 33
base.py
in tensor2tensor/models/video
 394 25
Files With Most Units (Top 20)
File# lines# units
common_layers.py
in tensor2tensor/layers
 2320 172
transformer.py
in tensor2tensor/models
 1978 129
common_attention.py
in tensor2tensor/layers
 3314 126
text_problems.py
in tensor2tensor/data_generators
 752 108
trainer_model_based_params.py
in tensor2tensor/rl
 655 95
image_transformer.py
in tensor2tensor/models
 835 82
t2t_model.py
in tensor2tensor/utils
 1527 72
modalities.py
in tensor2tensor/layers
 1088 70
text_encoder.py
in tensor2tensor/data_generators
 525 67
transformer_vae_flow_prior.py
in tensor2tensor/models/research
 826 67
dopamine_connector.py
in tensor2tensor/rl
 519 64
mtf_transformer2.py
in tensor2tensor/models
 607 64
autoencoders.py
in tensor2tensor/models/research
 1073 63
mtf_transformer.py
in tensor2tensor/models
 903 58
rl.py
in tensor2tensor/models/research
 625 55
imagenet.py
in tensor2tensor/data_generators
 356 54
gym_env.py
in tensor2tensor/data_generators
 605 53
algorithmic.py
in tensor2tensor/data_generators
 278 53
universal_transformer.py
in tensor2tensor/models/research
 456 53
generator_utils.py
in tensor2tensor/data_generators
 665 51
Files With Long Lines (Top 4)

There are 4 files with lines longer than 120 characters. In total, there are 5 long lines.

File# lines# units# long lines
language-selector-content.html
in tensor2tensor/insights/polymer/language_selector
 40 - 2
translate_enet.py
in tensor2tensor/data_generators
 44 4 1
translate_enes.py
in tensor2tensor/data_generators
 79 11 1
neural_assistant.py
in tensor2tensor/models
 333 15 1