mapillary / inplace_abn
File Change Frequency

File change frequency (churn) shows the distribution of file updates (days with at least one commit).

File Change Frequency Overall
File Change Frequency Overall
The number of recorded file updates
  • There are 38 files with 3,412 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 4 files changed 6-20 times (698 lines of code)
    • 34 files changed 1-5 times (2,714 lines of code)
0% | 0% | 0% | 20% | 79%
Legend:
101+
51-100
21-50
6-20
1-5
explore: zoomable circles | data
File Change Frequency per File Extension
py, json, h, cpp, txt, md, cuh, pyi, in, cfg, svg, gitignore, cu
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 23% | 76%
cpp0% | 0% | 0% | 56% | 43%
cuh0% | 0% | 0% | 0% | 100%
cu0% | 0% | 0% | 0% | 100%
h0% | 0% | 0% | 0% | 100%
pyi0% | 0% | 0% | 0% | 100%
in0% | 0% | 0% | 0% | 100%
cfg0% | 0% | 0% | 0% | 100%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
inplace_abn0% | 0% | 0% | 85% | 14%
src0% | 0% | 0% | 23% | 76%
ROOT0% | 0% | 0% | 93% | 6%
scripts/models0% | 0% | 0% | 0% | 100%
scripts/modules0% | 0% | 0% | 0% | 100%
scripts/imagenet0% | 0% | 0% | 0% | 100%
include0% | 0% | 0% | 0% | 100%
scripts0% | 0% | 0% | 0% | 100%
scripts/dataset0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 38)

See data for all files...

File# lines# unitslast modified
(days ago)		created
(days ago)		# changes# contributors
setup.py
in root
 61 1 144 1428 8 2
functions.py
in inplace_abn
 220 8 144 1026 8 2
195 6 144 1026 6 2
abn.py
in inplace_abn
 222 13 144 1026 6 2
141 6 144 1026 5 3
222 - 144 1026 5 2
__init__.py
in inplace_abn
 6 - 598 1026 4 1
checks.h
in include
 43 3 144 1026 4 2
inplace_abn.h
in include
 124 6 144 1026 4 2
249 - 144 1026 4 2
group.py
in inplace_abn
 28 2 144 1006 3 2
pyi
_backend.pyi
in inplace_abn
 42 6 144 1026 3 2
dispatch.h
in include
 48 - 144 1017 3 2
deeplab.py
in scripts/modules
 102 4 144 1026 3 2
util.py
in scripts/models
 5 1 144 1026 2 2
utils.cpp
in src
 10 1 144 1026 2 2
misc.py
in scripts/modules
 13 4 144 1026 2 2
transform.py
in scripts/dataset
 16 2 144 1026 2 2
sampler.py
in scripts/dataset
 20 3 144 1026 2 2
utils.h
in include
 20 1 144 1026 2 2
dataset.py
in scripts/dataset
 33 4 144 1026 2 2
config.py
in scripts/imagenet
 52 2 144 1026 2 2
dense.py
in scripts/modules
 65 3 144 1026 2 2
transforms.py
in scripts/imagenet
 72 12 144 1026 2 2
resnet.py
in scripts/models
 96 3 144 1026 2 2
densenet.py
in scripts/models
 102 2 144 1026 2 2
resnext.py
in scripts/models
 104 3 144 1026 2 2
cuda_utils.cuh
in include
 137 - 144 1026 2 2
wider_resnet.py
in scripts/models
 162 4 144 1026 2 2
residual.py
in scripts/modules
 215 4 144 1026 2 2
utils.py
in scripts/imagenet
 267 11 144 1026 2 2
306 5 144 1026 2 2
__init__.py
in scripts/imagenet
 1 - 1026 1026 1 1
__init__.py
in scripts/dataset
 1 - 1026 1026 1 1
cfg
setup.cfg
in root
 2 - 1014 1014 1 1
in
 2 - 1014 1014 1 1
__init__.py
in scripts/modules
 4 - 1026 1026 1 1
__init__.py
in scripts/models
 4 - 1026 1026 1 1
Files With Most Contributors (Top 38)
Files sorted by the number of unique email addresses found in commits.

See data for all files...

File# lines# unitslast modified
(days ago)		created
(days ago)		# changes# contributors
setup.py
in root
 61 1 144 1428 8 2
functions.py
in inplace_abn
 220 8 144 1026 8 2
195 6 144 1026 6 2
abn.py
in inplace_abn
 222 13 144 1026 6 2
222 - 144 1026 5 2
141 6 144 1026 5 3
__init__.py
in inplace_abn
 6 - 598 1026 4 1
249 - 144 1026 4 2
checks.h
in include
 43 3 144 1026 4 2
inplace_abn.h
in include
 124 6 144 1026 4 2
deeplab.py
in scripts/modules
 102 4 144 1026 3 2
group.py
in inplace_abn
 28 2 144 1006 3 2
pyi
_backend.pyi
in inplace_abn
 42 6 144 1026 3 2
dispatch.h
in include
 48 - 144 1017 3 2
utils.cpp
in src
 10 1 144 1026 2 2
306 5 144 1026 2 2
dense.py
in scripts/modules
 65 3 144 1026 2 2
residual.py
in scripts/modules
 215 4 144 1026 2 2
misc.py
in scripts/modules
 13 4 144 1026 2 2
utils.py
in scripts/imagenet
 267 11 144 1026 2 2
config.py
in scripts/imagenet
 52 2 144 1026 2 2
transforms.py
in scripts/imagenet
 72 12 144 1026 2 2
resnet.py
in scripts/models
 96 3 144 1026 2 2
resnext.py
in scripts/models
 104 3 144 1026 2 2
densenet.py
in scripts/models
 102 2 144 1026 2 2
util.py
in scripts/models
 5 1 144 1026 2 2
wider_resnet.py
in scripts/models
 162 4 144 1026 2 2
sampler.py
in scripts/dataset
 20 3 144 1026 2 2
transform.py
in scripts/dataset
 16 2 144 1026 2 2
dataset.py
in scripts/dataset
 33 4 144 1026 2 2
cuda_utils.cuh
in include
 137 - 144 1026 2 2
utils.h
in include
 20 1 144 1026 2 2
cfg
setup.cfg
in root
 2 - 1014 1014 1 1
__init__.py
in scripts/modules
 4 - 1026 1026 1 1
__init__.py
in scripts/imagenet
 1 - 1026 1026 1 1
__init__.py
in scripts/models
 4 - 1026 1026 1 1
__init__.py
in scripts/dataset
 1 - 1026 1026 1 1
in
 2 - 1014 1014 1 1
Correlations

File Size vs. Number of Changes: 38 points

include/checks.h x: 43 lines of code y: 4 # changes include/cuda_utils.cuh x: 137 lines of code y: 2 # changes include/dispatch.h x: 48 lines of code y: 3 # changes include/inplace_abn.h x: 124 lines of code y: 4 # changes include/utils.h x: 20 lines of code y: 2 # changes inplace_abn/_backend.pyi x: 42 lines of code y: 3 # changes inplace_abn/abn.py x: 222 lines of code y: 6 # changes inplace_abn/functions.py x: 220 lines of code y: 8 # changes inplace_abn/group.py x: 28 lines of code y: 3 # changes scripts/dataset/dataset.py x: 33 lines of code y: 2 # changes scripts/dataset/transform.py x: 16 lines of code y: 2 # changes scripts/imagenet/config.py x: 52 lines of code y: 2 # changes scripts/imagenet/transforms.py x: 72 lines of code y: 2 # changes scripts/imagenet/utils.py x: 267 lines of code y: 2 # changes scripts/models/densenet.py x: 102 lines of code y: 2 # changes scripts/models/resnet.py x: 96 lines of code y: 2 # changes scripts/models/resnext.py x: 104 lines of code y: 2 # changes scripts/models/util.py x: 5 lines of code y: 2 # changes scripts/models/wider_resnet.py x: 162 lines of code y: 2 # changes scripts/modules/deeplab.py x: 102 lines of code y: 3 # changes scripts/modules/dense.py x: 65 lines of code y: 2 # changes scripts/modules/misc.py x: 13 lines of code y: 2 # changes scripts/modules/residual.py x: 215 lines of code y: 2 # changes scripts/train_imagenet.py x: 306 lines of code y: 2 # changes setup.py x: 61 lines of code y: 8 # changes src/inplace_abn.cpp x: 195 lines of code y: 6 # changes src/inplace_abn_cpu.cpp x: 141 lines of code y: 5 # changes src/inplace_abn_cuda.cu x: 249 lines of code y: 4 # changes src/inplace_abn_kernels.cuh x: 222 lines of code y: 5 # changes src/utils.cpp x: 10 lines of code y: 2 # changes inplace_abn/__init__.py x: 6 lines of code y: 4 # changes MANIFEST.in x: 2 lines of code y: 1 # changes scripts/dataset/__init__.py x: 1 lines of code y: 1 # changes scripts/models/__init__.py x: 4 lines of code y: 1 # changes
8.0
# changes
  min: 1.0
  average: 2.84
  25th percentile: 2.0
  median: 2.0
  75th percentile: 4.0
  max: 8.0
0 306.0
lines of code
min: 1.0 | average: 89.79 | 25th percentile: 12.25 | median: 56.5 | 75th percentile: 146.25 | max: 306.0

Number of Contributors vs. Number of Changes: 38 points

include/checks.h x: 2 # contributors y: 4 # changes include/cuda_utils.cuh x: 2 # contributors y: 2 # changes include/dispatch.h x: 2 # contributors y: 3 # changes inplace_abn/abn.py x: 2 # contributors y: 6 # changes inplace_abn/functions.py x: 2 # contributors y: 8 # changes src/inplace_abn_cpu.cpp x: 3 # contributors y: 5 # changes src/inplace_abn_kernels.cuh x: 2 # contributors y: 5 # changes inplace_abn/__init__.py x: 1 # contributors y: 4 # changes MANIFEST.in x: 1 # contributors y: 1 # changes
8.0
# changes
  min: 1.0
  average: 2.84
  25th percentile: 2.0
  median: 2.0
  75th percentile: 4.0
  max: 8.0
0 3.0
# contributors
min: 1.0 | average: 1.84 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 3.0