# idkhowtocodefr/tensorflow architecture

> Architecture diagram of the GitHub repository idkhowtocodefr/tensorflow, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-26). It is an AI-made overview: check details against the source.

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

## Overview

TensorFlow is an end-to-end machine-learning platform with Python and C++ APIs, graph and eager execution, automatic differentiation, distributed training, model persistence, and accelerator/compiler integrations. A typical workflow starts with a user building and executing tensor operations, optionally distributing training, then saving or deploying a model. The tree and sampled code support several distinct deployment paths, including TensorRT engine execution and StableHLO-to-TFLite conversion. Some broad subsystems are represented by their enclosing source directories because their implementation was not sampled; edges are limited to documented capabilities and visible calls.

Main entry points: [`tensorflow/core/common_runtime`](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/core/common_runtime) (Core Runtime), [`tensorflow/__init__.py`](https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/__init__.py) (Python API), [`tensorflow/cc/ops`](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc/ops) (Tensor Ops), [`tensorflow/cc`](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc) (C++ API)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_api["User APIs"]
  node_python["Python API<br/>[__init__.py]"]
  node_cpp["C++ API"]
  node_capi["C API<br/>[c_api.cc]"]
end

subgraph group_execution["Execution and Training"]
  node_ops["Tensor Ops"]
  node_autodiff["Gradients"]
  node_distribution["Central Storage"]
  node_runtime["Core Runtime"]
  node_kernels["Device Kernels"]
end

subgraph group_lifecycle["Model Lifecycle"]
  node_savedmodel["SavedModel"]
  node_filesystem["Filesystem"]
end

subgraph group_deployment["Compilation and Deployment"]
  node_compiler["XLA Compiler"]
  node_tfrt["TFRT Pipeline"]
  node_tflite["TFLite Conversion"]
  node_quantization["StableHLO Quantization<br/>[pass_pipeline.cc]"]
  node_trt_op["TensorRT Op<br/>[trt_engine_op.cc]"]
  node_trt_kernel["TensorRT Execution<br/>[trt_engine_op.cc]"]
  node_tpu_state["TPU Engine State"]
end

node_user(("Developer"))
node_trt_engine["TensorRT Engine"]

node_user -->|"calls"| node_python
node_user -->|"calls"| node_cpp
node_user -->|"calls"| node_capi
node_python -->|"builds operations"| node_ops
node_cpp -->|"builds operations"| node_ops
node_capi -->|"accesses runtime"| node_runtime
node_ops -->|"executes"| node_runtime
node_runtime -->|"dispatches"| node_kernels
node_ops -->|"differentiates"| node_autodiff
node_python -->|"distributes training"| node_distribution
node_distribution -->|"runs replicas"| node_runtime
node_python -->|"saves or loads"| node_savedmodel
node_savedmodel -->|"accesses files"| node_filesystem
node_runtime -.->|"compiles graphs"| node_compiler
node_compiler -.->|"lowers execution"| node_tfrt
node_python -->|"converts models"| node_tflite
node_quantization -->|"supports conversion"| node_tflite
node_ops -.->|"invokes segment"| node_trt_op
node_trt_op -->|"runs kernel"| node_trt_kernel
node_trt_kernel -.->|"builds and executes"| node_trt_engine
node_runtime -.->|"manages state"| node_tpu_state

click node_python "https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/__init__.py"
click node_cpp "https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc"
click node_capi "https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/c/c_api.cc"
click node_ops "https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc/ops"
click node_autodiff "https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc/gradients"
click node_distribution "https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/python/distribute/central_storage_strategy.py"
click node_runtime "https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/core/common_runtime"
click node_kernels "https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/c/kernels"
click node_savedmodel "https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc/saved_model"
click node_filesystem "https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/c/experimental/filesystem"
click node_compiler "https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/compiler/jit"
click node_tfrt "https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/compiler/mlir/tfrt/transforms"
click node_tflite "https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/compiler/mlir/lite/python/stablehlo_tfl_pipeline.cc"
click node_quantization "https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/compiler/mlir/quantization/stablehlo/cc/pass_pipeline.cc"
click node_trt_op "https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc"
click node_trt_kernel "https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc"
click node_tpu_state "https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/core/tpu/kernels/tpu_embedding_engine_state_interface.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,node_cpp,node_capi toneBlue
class node_ops,node_autodiff,node_distribution,node_runtime,node_kernels toneAmber
class node_savedmodel,node_filesystem toneMint
class node_compiler,node_tfrt,node_tflite,node_quantization,node_trt_op,node_trt_kernel,node_tpu_state toneRose
class node_user,node_trt_engine toneIndigo
```

## Components

### User APIs

- [Python API](https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/__init__.py): `tensorflow/__init__.py`
- [C++ API](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc): `tensorflow/cc`
- [C API](https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/c/c_api.cc): `tensorflow/c/c_api.cc`

### Execution and Training

- [Tensor Ops](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc/ops): `tensorflow/cc/ops`
- [Gradients](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc/gradients): `tensorflow/cc/gradients`
- [Central Storage](https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/python/distribute/central_storage_strategy.py): `tensorflow/python/distribute/central_storage_strategy.py`
- [Core Runtime](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/core/common_runtime): `tensorflow/core/common_runtime`
- [Device Kernels](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/c/kernels): `tensorflow/c/kernels`

### Model Lifecycle

- [SavedModel](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/cc/saved_model): `tensorflow/cc/saved_model`
- [Filesystem](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/c/experimental/filesystem): `tensorflow/c/experimental/filesystem`

### Compilation and Deployment

- [XLA Compiler](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/compiler/jit): `tensorflow/compiler/jit`
- [TFRT Pipeline](https://github.com/idkhowtocodefr/tensorflow/tree/master/tensorflow/compiler/mlir/tfrt/transforms): `tensorflow/compiler/mlir/tfrt/transforms`
- [TFLite Conversion](https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/compiler/mlir/lite/python/stablehlo_tfl_pipeline.cc): `tensorflow/compiler/mlir/lite/python/stablehlo_tfl_pipeline.cc`
- [StableHLO Quantization](https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/compiler/mlir/quantization/stablehlo/cc/pass_pipeline.cc): `tensorflow/compiler/mlir/quantization/stablehlo/cc/pass_pipeline.cc`
- [TensorRT Op](https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc): `tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc`
- [TensorRT Execution](https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc): `tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc`
- [TPU Engine State](https://github.com/idkhowtocodefr/tensorflow/blob/master/tensorflow/core/tpu/kernels/tpu_embedding_engine_state_interface.h): `tensorflow/core/tpu/kernels/tpu_embedding_engine_state_interface.h`

### Other components

- **Developer**
- **TensorRT Engine**

## Connections

- Developer → Python API: calls
- Developer → C++ API: calls
- Developer → C API: calls
- Python API → Tensor Ops: builds operations
- C++ API → Tensor Ops: builds operations
- C API → Core Runtime: accesses runtime
- Tensor Ops → Core Runtime: executes
- Core Runtime → Device Kernels: dispatches
- Tensor Ops → Gradients: differentiates
- Python API → Central Storage: distributes training
- Central Storage → Core Runtime: runs replicas
- Python API → SavedModel: saves or loads
- SavedModel → Filesystem: accesses files
- Core Runtime → XLA Compiler: compiles graphs
- XLA Compiler → TFRT Pipeline: lowers execution
- Python API → TFLite Conversion: converts models
- StableHLO Quantization → TFLite Conversion: supports conversion
- Tensor Ops → TensorRT Op: invokes segment
- TensorRT Op → TensorRT Execution: runs kernel
- TensorRT Execution → TensorRT Engine: builds and executes
- Core Runtime → TPU Engine State: manages state