# yao62995/tensorflow

图解tensorflow 源码

Repository: https://github.com/yao62995/tensorflow
Canonical: https://ross.abutalabs.com/products/yao62995-tensorflow
Homepage: http://www.cnblogs.com/yao62995/p/5773578.html
License Family: other
Last push: 2016-11-11T12:34:39+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3684, "days_push": 3582, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2171, forks 590 (observed 2026-08-28T04:06:21.806700+00:00)

## What it is
A curated collection of illustrated articles analyzing TensorFlow's internal source code, covering Session, Graph, Kernels, and Devices with UML diagrams and flowcharts. The repository serves as an index linking to blog posts written in Chinese.

## Use cases
- understand how tensorflow session run works internally
- learn tensorflow graph construction and optimization internals
- study tensorflow device placement and memory allocation algorithms
- understand matmul and conv2d forward and backward kernel implementation
- learn tensorflow architecture from source code diagrams

## When to choose
- you want to deeply understand TensorFlow's internal architecture and execution flow
- you prefer visual, diagram-driven explanations of complex C++ source code
- you are studying how Session::Run, graph optimization, or BFC memory allocation work

## When to avoid
- you need up-to-date coverage of modern TensorFlow 2.x or Keras internals
- you want a beginner tutorial on using TensorFlow rather than reading its source
- you cannot read Chinese, since all content is in Chinese

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, developer-tools, documentation
- domain: deep-learning, machine-learning, tutorials, developer-tools
- platform: python, cpp, cross-platform
- tags: tensorflow-internals, source-code-analysis, diagrams, session, graph, kernels, chinese-language

## Member repositories
- yao62995/tensorflow (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:21.806700+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:49:18.834919+00:00, confidence not recorded.
  - readme: https://github.com/yao62995/tensorflow (fetched 2026-08-28T04:06:21.806700+00:00, sha 45ec6fbd699d)
  - homepage: http://www.cnblogs.com/yao62995/p/5773578.html (fetched 2026-08-29T10:29:48.657769+00:00, sha 8d1c815ffdf6)
- Data as of 2026-08-30T08:39:29.467469+00:00.