openai / jukebox
File Size

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

Intro
Learn more...
File Size Overall
6% | 20% | 29% | 20% | 21%
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
cu44% | 29% | 0% | 19% | 6%
py0% | 15% | 38% | 22% | 22%
ipynb0% | 100% | 0% | 0% | 0%
proto0% | 0% | 29% | 9% | 61%
cpp0% | 0% | 62% | 0% | 37%
cuh0% | 0% | 0% | 100% | 0%
h0% | 0% | 0% | 100% | 0%
in0% | 0% | 0% | 0% | 100%
cfg0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
apex16% | 11% | 27% | 21% | 23%
jukebox0% | 34% | 34% | 18% | 12%
tensorboardX0% | 16% | 27% | 21% | 34%
ROOT0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
welford.cu
in apex/csrc
1182 -
961 -
782 -
lyricdict.py
in jukebox
669 -
caffe2_graph.py
in tensorboardX/tensorboardX
646 26
hparams.py
in jukebox
522 3
factored_attention.py
in jukebox/transformer
443 30
summary.py
in tensorboardX/tensorboardX
370 21
writer.py
in tensorboardX/tensorboardX
367 49
autoregressive.py
in jukebox/prior
350 14
proto
api.proto
in tensorboardX/tensorboardX/proto
337 -
distributed.py
in apex/apex/parallel
323 22
_process_optimizer.py
in apex/apex/amp
306 9
prior.py
in jukebox/prior
273 14
train.py
in jukebox
263 12
fp16.py
in jukebox/utils
238 13
fp16_optimizer.py
in apex/apex/fp16_utils
233 20
224 8
sample.py
in jukebox
216 12
RNNBackend.py
in apex/apex/RNN
212 24
make_models.py
in jukebox
212 9
wrap.py
in apex/apex/amp
211 11
_initialize.py
in apex/apex/amp
207 7
transformer.py
in jukebox/transformer
204 12
frontend.py
in apex/apex/amp
201 9
vqvae.py
in jukebox/vqvae
187 13
pytorch_graph.py
in tensorboardX/tensorboardX
187 13
bottleneck.py
in jukebox/vqvae
186 22
handle.py
in apex/apex/amp
166 22
scaler.py
in apex/apex/amp
162 10
visdom_writer.py
in tensorboardX/tensorboardX
161 18
utils.py
in apex/apex/amp
154 18
147 -
video_writing.py
in tensorboardX/tensorboardX/beholder
137 18
132 -
fp16_optimizer.py
in apex/apex/optimizers
131 12
beholder.py
in tensorboardX/tensorboardX/beholder
130 9
129 -
io.py
in jukebox/utils
121 4
logger.py
in jukebox/utils
121 23
conditioners.py
in jukebox/prior
121 11
event_file_writer.py
in tensorboardX/tensorboardX
120 14
amp.py
in apex/apex/amp
119 8
audio_utils.py
in jukebox/utils
119 15
encdec.py
in jukebox/vqvae
112 8
labels.py
in jukebox/data
107 9
proto
summary.proto
in tensorboardX/tensorboardX/proto
107 -
106 -
ops.py
in jukebox/transformer
104 19
103 -
Files With Most Units (Top 50)
File# lines# units
writer.py
in tensorboardX/tensorboardX
367 49
factored_attention.py
in jukebox/transformer
443 30
caffe2_graph.py
in tensorboardX/tensorboardX
646 26
RNNBackend.py
in apex/apex/RNN
212 24
logger.py
in jukebox/utils
121 23
handle.py
in apex/apex/amp
166 22
distributed.py
in apex/apex/parallel
323 22
bottleneck.py
in jukebox/vqvae
186 22
summary.py
in tensorboardX/tensorboardX
370 21
fp16_optimizer.py
in apex/apex/fp16_utils
233 20
ops.py
in jukebox/transformer
104 19
utils.py
in apex/apex/amp
154 18
dist_adapter.py
in jukebox/utils
62 18
video_writing.py
in tensorboardX/tensorboardX/beholder
137 18
record_writer.py
in tensorboardX/tensorboardX
94 18
visdom_writer.py
in tensorboardX/tensorboardX
161 18
loss_scaler.py
in apex/apex/fp16_utils
65 15
audio_utils.py
in jukebox/utils
119 15
autoregressive.py
in jukebox/prior
350 14
prior.py
in jukebox/prior
273 14
event_file_writer.py
in tensorboardX/tensorboardX
120 14
fp16util.py
in apex/apex/fp16_utils
94 13
fp16.py
in jukebox/utils
238 13
vqvae.py
in jukebox/vqvae
187 13
pytorch_graph.py
in tensorboardX/tensorboardX
187 13
opt.py
in apex/apex/amp
76 12
fused_layer_norm.py
in apex/apex/normalization
88 12
fp16_optimizer.py
in apex/apex/optimizers
131 12
ema.py
in jukebox/utils
70 12
train.py
in jukebox
263 12
sample.py
in jukebox
216 12
transformer.py
in jukebox/transformer
204 12
wrap.py
in apex/apex/amp
211 11
conditioners.py
in jukebox/prior
121 11
scaler.py
in apex/apex/amp
162 10
frontend.py
in apex/apex/amp
201 9
_process_optimizer.py
in apex/apex/amp
306 9
reparameterization.py
in apex/apex/reparameterization
80 9
LARC.py
in apex/apex/parallel
46 9
77 9
labels.py
in jukebox/data
107 9
files_dataset.py
in jukebox/data
76 9
data_processor.py
in jukebox/data
58 9
make_models.py
in jukebox
212 9
beholder.py
in tensorboardX/tensorboardX/beholder
130 9
amp.py
in apex/apex/amp
119 8
224 8
encdec.py
in jukebox/vqvae
112 8
resnet.py
in jukebox/vqvae
67 8
_initialize.py
in apex/apex/amp
207 7
Files With Long Lines (Top 38)

There are 38 files with lines longer than 120 characters. In total, there are 156 long lines.

File# lines# units# long lines
961 - 23
factored_attention.py
in jukebox/transformer
443 30 21
prior.py
in jukebox/prior
273 14 11
sample.py
in jukebox
216 12 9
autoregressive.py
in jukebox/prior
350 14 8
conditioners.py
in jukebox/prior
121 11 7
87 2 6
make_models.py
in jukebox
212 9 6
sync_batchnorm.py
in apex/apex/parallel
73 3 5
models.py
in apex/apex/RNN
24 6 5
optimized_sync_batchnorm.py
in apex/apex/parallel
27 4 4
782 - 4
save_html.py
in jukebox
79 2 4
fp16.py
in jukebox/utils
238 13 4
encdec.py
in jukebox/vqvae
112 8 4
welford.cu
in apex/csrc
1182 - 3
21 1 3
files_dataset.py
in jukebox/data
76 9 3
fused_adam.py
in apex/apex/optimizers
81 2 2
224 8 2
77 9 2
audio_utils.py
in jukebox/utils
119 15 2
train.py
in jukebox
263 12 2
transformer.py
in jukebox/transformer
204 12 2
__init__.py
in apex/apex/parallel
56 2 1
LARC.py
in apex/apex/parallel
46 9 1
distributed.py
in apex/apex/parallel
323 22 1
cells.py
in apex/apex/RNN
49 4 1
RNNBackend.py
in apex/apex/RNN
212 24 1
132 - 1
setup.py
in apex
102 1 1
io.py
in jukebox/utils
121 4 1
logger.py
in jukebox/utils
121 23 1
checkpoint.py
in jukebox/utils
28 3 1
bottleneck.py
in jukebox/vqvae
186 22 1
resnet.py
in jukebox/vqvae
67 8 1
ops.py
in jukebox/transformer
104 19 1
proto
types.proto
in tensorboardX/tensorboardX/proto
59 - 1
Correlations

File Size vs. Commits (all time): 28 points

jukebox/hparams.py x: 20 commits (all time) y: 522 lines of code jukebox/make_models.py x: 20 commits (all time) y: 212 lines of code jukebox/utils/remote_utils.py x: 1 commits (all time) y: 33 lines of code jukebox/data/labels.py x: 6 commits (all time) y: 107 lines of code jukebox/prior/prior.py x: 11 commits (all time) y: 273 lines of code jukebox/sample.py x: 32 commits (all time) y: 216 lines of code jukebox/train.py x: 18 commits (all time) y: 263 lines of code jukebox/vqvae/vqvae.py x: 12 commits (all time) y: 187 lines of code jukebox/data/files_dataset.py x: 13 commits (all time) y: 76 lines of code jukebox/prior/conditioners.py x: 2 commits (all time) y: 121 lines of code jukebox/data/data_processor.py x: 6 commits (all time) y: 58 lines of code jukebox/prior/autoregressive.py x: 4 commits (all time) y: 350 lines of code jukebox/data/artist_genre_processor.py x: 8 commits (all time) y: 77 lines of code jukebox/transformer/transformer.py x: 5 commits (all time) y: 204 lines of code jukebox/utils/audio_utils.py x: 9 commits (all time) y: 119 lines of code jukebox/utils/dist_adapter.py x: 4 commits (all time) y: 62 lines of code jukebox/utils/dist_utils.py x: 3 commits (all time) y: 77 lines of code jukebox/utils/fp16.py x: 3 commits (all time) y: 238 lines of code jukebox/utils/logger.py x: 3 commits (all time) y: 121 lines of code jukebox/vqvae/bottleneck.py x: 3 commits (all time) y: 186 lines of code jukebox/vqvae/resnet.py x: 3 commits (all time) y: 67 lines of code jukebox/Interacting_with_Jukebox.ipynb x: 3 commits (all time) y: 961 lines of code jukebox/save_html.py x: 1 commits (all time) y: 79 lines of code MANIFEST.in x: 1 commits (all time) y: 2 lines of code setup.py x: 1 commits (all time) y: 18 lines of code jukebox/align.py x: 2 commits (all time) y: 85 lines of code jukebox/utils/sample_utils.py x: 2 commits (all time) y: 18 lines of code
961.0
lines of code
  min: 2.0
  average: 173.32
  25th percentile: 69.25
  median: 120.0
  75th percentile: 215.0
  max: 961.0
0 32.0
commits (all time)
min: 1.0 | average: 7.32 | 25th percentile: 2.25 | median: 4.0 | 75th percentile: 10.5 | max: 32.0

File Size vs. Contributors (all time): 28 points

jukebox/hparams.py x: 3 contributors (all time) y: 522 lines of code jukebox/make_models.py x: 5 contributors (all time) y: 212 lines of code jukebox/utils/remote_utils.py x: 1 contributors (all time) y: 33 lines of code jukebox/data/labels.py x: 3 contributors (all time) y: 107 lines of code jukebox/prior/prior.py x: 4 contributors (all time) y: 273 lines of code jukebox/sample.py x: 4 contributors (all time) y: 216 lines of code jukebox/train.py x: 4 contributors (all time) y: 263 lines of code jukebox/vqvae/vqvae.py x: 3 contributors (all time) y: 187 lines of code jukebox/data/files_dataset.py x: 4 contributors (all time) y: 76 lines of code jukebox/prior/conditioners.py x: 1 contributors (all time) y: 121 lines of code jukebox/data/data_processor.py x: 4 contributors (all time) y: 58 lines of code jukebox/prior/autoregressive.py x: 3 contributors (all time) y: 350 lines of code jukebox/data/artist_genre_processor.py x: 5 contributors (all time) y: 77 lines of code jukebox/transformer/transformer.py x: 3 contributors (all time) y: 204 lines of code jukebox/utils/audio_utils.py x: 4 contributors (all time) y: 119 lines of code jukebox/utils/dist_adapter.py x: 3 contributors (all time) y: 62 lines of code jukebox/utils/dist_utils.py x: 3 contributors (all time) y: 77 lines of code jukebox/utils/fp16.py x: 3 contributors (all time) y: 238 lines of code jukebox/utils/logger.py x: 3 contributors (all time) y: 121 lines of code jukebox/vqvae/resnet.py x: 3 contributors (all time) y: 67 lines of code jukebox/Interacting_with_Jukebox.ipynb x: 2 contributors (all time) y: 961 lines of code jukebox/save_html.py x: 1 contributors (all time) y: 79 lines of code MANIFEST.in x: 1 contributors (all time) y: 2 lines of code setup.py x: 1 contributors (all time) y: 18 lines of code jukebox/align.py x: 1 contributors (all time) y: 85 lines of code
961.0
lines of code
  min: 2.0
  average: 173.32
  25th percentile: 69.25
  median: 120.0
  75th percentile: 215.0
  max: 961.0
0 5.0
contributors (all time)
min: 1.0 | average: 2.86 | 25th percentile: 1.25 | median: 3.0 | 75th percentile: 4.0 | max: 5.0

File Size vs. Commits (30 days): 0 points

No data for "commits (30d)" vs. "lines of code".

File Size vs. Contributors (30 days): 0 points

No data for "contributors (30d)" vs. "lines of code".


File Size vs. Commits (90 days): 0 points

No data for "commits (90d)" vs. "lines of code".

File Size vs. Contributors (90 days): 0 points

No data for "contributors (90d)" vs. "lines of code".