pytorch / vision
Features of Interest
Aspects in the source code identified through RegEx patterns.
Intro
Features of interest are any aspects of a software system that can be identified through patterns in code.
Features of interest provide you with a way to focus your attention on relevant parts of the codebase.
Typical examples include, security, TODOs, logging.
A feature of interest may be present in multiple files. Any source code file may be in zero or multiple features of interest.
Overview
GENERAL
TODOs
11,395 LOC (22%)
51 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
11,395 LOC (22%)
51 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
51
files match defined criteria (
11,395
lines of code,
22.2%
vs. main code):
40
*.py files (
9,241
lines of code)
9
*.cpp files (
1,566
lines of code)
1
*.cu files (
554
lines of code)
1
*.h files (
34
lines of code)
90
lines match the content pattern.
details...
per component - primary logical decomposition
torchvision/csrc
in 11 files, 2,154 LOC (13%)
torchvision/prototype
in 7 files, 1,589 LOC (15%)
torchvision/models
in 15 files, 2,825 LOC (33%)
torchvision/datasets
in 4 files, 686 LOC (13%)
torchvision/transforms
in 3 files, 1,579 LOC (54%)
references/detection
in 1 file 87 LOC (6%)
torchvision/ops
in 3 files, 309 LOC (26%)
references/classification
in 1 file 438 LOC (38%)
torchvision/io
in 1 file 267 LOC (33%)
references/optical_flow
in 2 files, 469 LOC (68%)
references/video_classification
in 1 file 321 LOC (56%)
ROOT
in 1 file 430 LOC (81%)
torchvision
in 1 file 241 LOC (62%)