aws / sagemaker-pytorch-training-toolkit
Components

An overview of source code logical components.

Intro

Logical decomposition is a representation of the organization of the main source code, where every and each file is put in exactly one logical component.

Logical Decompositions Overview

Analyzed system has 1 logical decomposition:

Logical Decomposition #1: PRIMARY

The decompositions is based on the folder structure at level 1 (relative to the source code root).

Bubble Chart | Tree Map
Component Sizes (Lines of Code)
The "primary" logical decomposition has 4 components.
  • 7 files, 164 LOC (11.1% vs. main code).
  • "src" is biggest, containing 60.37% of LOC.
  • "docker" is smallest, containing 4.88% of LOC.


src99 LOC (6%) 2 files
ROOT49 LOC (3%) 3 files
lib8 LOC (<1%) 1 file
docker8 LOC (<1%) 1 file
Component Commits
Components ordered by number of commits
Total Commits per Component
All commits, some commits may include files from multiple components.
ROOT60 commits (22%)
src18 commits (6%)
lib2 commits (<1%)
docker1 commits (<1%)
Yearly File Updates Trend per Components
The number of file changes in commits
animated commit history: all time cumulative | 12 months window
2025 2024 2023 2022 2021 2020 2019 2018
ROOT
1
2
17
17
27
lib
1
1
src
2
6
6
1
5
docker
1


Dependencies between components in same commits (past 180 days)
The number on the lines shows the number of shared commits.
See detailed temporal dependencies report...

No temporal dependencies found.



2025-05-03 23:53