# joeyye-work/tensorflow architecture

> Architecture diagram of the GitHub repository joeyye-work/tensorflow, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-29). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/joeyye-work/tensorflow
- Repository: https://github.com/joeyye-work/tensorflow

## Overview

TensorFlow is an end-to-end machine-learning platform with Python and C++ APIs and execution across hardware devices. Its principal workflow is to submit tensor operations through an API, execute them in eager or graph-oriented runtime paths, and return tensor results; training, distribution, model loading, compilation, and accelerator integrations are major branches. The README establishes the broad product scope; source excerpts are partial, so links for unsampled subsystems are limited to relationships supported by the tree and documented capabilities.

Main entry points: [`tensorflow/c/kernels.cc`](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/kernels.cc) (Operation Kernels), [`tensorflow/c/eager/c_api.cc`](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/eager/c_api.cc) (Eager Runtime), [`tensorflow/__init__.py`](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/__init__.py) (Python API), [`tensorflow/cc/client/client_session.cc`](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/cc/client/client_session.cc) (Client Session)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_interfaces["User Interfaces"]
  node_python_api["Python API<br/>[__init__.py]"]
  node_c_api["C API<br/>[c_api.cc]"]
  node_cpp_ops["C++ Operations<br/>[ops.cc]"]
end

subgraph group_runtime["Execution Runtime"]
  node_eager["Eager Runtime<br/>[c_api.cc]"]
  node_session["Client Session<br/>[client_session.cc]"]
  node_kernels["Operation Kernels<br/>[kernels.cc]"]
end

subgraph group_training["Training and Distribution"]
  node_gradients["Gradient Computation<br/>[gradients.cc]"]
  node_distribution["Central Distribution"]
end

subgraph group_models["Models and Compilation"]
  node_saved_model["SavedModel Load<br/>[loader.cc]"]
  node_xla["XLA Compilation"]
  node_quantization["StableHLO Quantization"]
end

subgraph group_integration["Device Integrations"]
  node_trt_op["TensorRT Operation<br/>[trt_engine_op.cc]"]
  node_trt_kernel["TensorRT Execution<br/>[trt_engine_op.cc]"]
  node_pluggable_device["Pluggable Device API<br/>[c_api.cc]"]
  node_tpu_state["TPU Embedding State"]
  node_lite_storage[("Lite Benchmark Storage<br/>[fb_storage.h]")]
end

node_user(("Developer"))

node_user -->|"calls"| node_python_api
node_user -->|"calls"| node_c_api
node_user -->|"calls"| node_cpp_ops
node_python_api -->|"submits operations"| node_eager
node_c_api -->|"creates operations"| node_eager
node_cpp_ops -->|"builds graph"| node_session
node_session -->|"executes operations"| node_kernels
node_eager -->|"dispatches operations"| node_kernels
node_gradients -->|"defines derivatives"| node_kernels
node_distribution -->|"distributes training"| node_python_api
node_saved_model -->|"restores graph"| node_session
node_xla -.->|"compiles operations"| node_kernels
node_quantization -->|"transforms graphs"| node_xla
node_trt_op -->|"registers operation"| node_trt_kernel
node_trt_kernel -->|"falls back"| node_kernels
node_pluggable_device -.->|"extends execution"| node_eager
node_tpu_state -.->|"provides TPU state"| node_kernels
node_lite_storage -->|"stores benchmark records"| node_user

click node_python_api "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/__init__.py"
click node_c_api "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/c_api.cc"
click node_cpp_ops "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/cc/framework/ops.cc"
click node_eager "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/eager/c_api.cc"
click node_session "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/cc/client/client_session.cc"
click node_kernels "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/kernels.cc"
click node_gradients "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/cc/framework/gradients.cc"
click node_distribution "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/python/distribute/central_storage_strategy.py"
click node_saved_model "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/cc/saved_model/loader.cc"
click node_xla "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/compiler/jit/mark_for_compilation_pass.cc"
click node_quantization "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/compiler/mlir/quantization/stablehlo/cc/tf_pass_pipeline.cc"
click node_trt_op "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc"
click node_trt_kernel "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc"
click node_pluggable_device "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/experimental/next_pluggable_device/c_api.cc"
click node_tpu_state "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/core/tpu/kernels/tpu_embedding_engine_state_interface.h"
click node_lite_storage "https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/lite/experimental/acceleration/mini_benchmark/fb_storage.h"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_python_api,node_c_api,node_cpp_ops toneBlue
class node_eager,node_session,node_kernels toneAmber
class node_gradients,node_distribution toneMint
class node_saved_model,node_xla,node_quantization toneRose
class node_trt_op,node_trt_kernel,node_pluggable_device,node_tpu_state,node_lite_storage,node_user toneIndigo
```

## Components

### User Interfaces

- [Python API](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/__init__.py): `tensorflow/__init__.py`
- [C API](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/c_api.cc): `tensorflow/c/c_api.cc`
- [C++ Operations](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/cc/framework/ops.cc): `tensorflow/cc/framework/ops.cc`

### Execution Runtime

- [Eager Runtime](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/eager/c_api.cc): `tensorflow/c/eager/c_api.cc`
- [Client Session](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/cc/client/client_session.cc): `tensorflow/cc/client/client_session.cc`
- [Operation Kernels](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/kernels.cc): `tensorflow/c/kernels.cc`

### Training and Distribution

- [Gradient Computation](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/cc/framework/gradients.cc): `tensorflow/cc/framework/gradients.cc`
- [Central Distribution](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/python/distribute/central_storage_strategy.py): `tensorflow/python/distribute/central_storage_strategy.py`

### Models and Compilation

- [SavedModel Load](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/cc/saved_model/loader.cc): `tensorflow/cc/saved_model/loader.cc`
- [XLA Compilation](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/compiler/jit/mark_for_compilation_pass.cc): `tensorflow/compiler/jit/mark_for_compilation_pass.cc`
- [StableHLO Quantization](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/compiler/mlir/quantization/stablehlo/cc/tf_pass_pipeline.cc): `tensorflow/compiler/mlir/quantization/stablehlo/cc/tf_pass_pipeline.cc`

### Device Integrations

- [TensorRT Operation](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc): `tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc`
- [TensorRT Execution](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc): `tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc`
- [Pluggable Device API](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/c/experimental/next_pluggable_device/c_api.cc): `tensorflow/c/experimental/next_pluggable_device/c_api.cc`
- [TPU Embedding State](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/core/tpu/kernels/tpu_embedding_engine_state_interface.h): `tensorflow/core/tpu/kernels/tpu_embedding_engine_state_interface.h`
- [Lite Benchmark Storage](https://github.com/joeyye-work/tensorflow/blob/for-serving-2.20/tensorflow/lite/experimental/acceleration/mini_benchmark/fb_storage.h): `tensorflow/lite/experimental/acceleration/mini_benchmark/fb_storage.h`

### Other components

- **Developer**

## Connections

- Developer → Python API: calls
- Developer → C API: calls
- Developer → C++ Operations: calls
- Python API → Eager Runtime: submits operations
- C API → Eager Runtime: creates operations
- C++ Operations → Client Session: builds graph
- Client Session → Operation Kernels: executes operations
- Eager Runtime → Operation Kernels: dispatches operations
- Gradient Computation → Operation Kernels: defines derivatives
- Central Distribution → Python API: distributes training
- SavedModel Load → Client Session: restores graph
- XLA Compilation → Operation Kernels: compiles operations
- StableHLO Quantization → XLA Compilation: transforms graphs
- TensorRT Operation → TensorRT Execution: registers operation
- TensorRT Execution → Operation Kernels: falls back
- Pluggable Device API → Eager Runtime: extends execution
- TPU Embedding State → Operation Kernels: provides TPU state
- Lite Benchmark Storage → Developer: stores benchmark records