# dharmik7878/tensorflow architecture

> Architecture diagram of the GitHub repository dharmik7878/tensorflow, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-28). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/dharmik7878/tensorflow
- Repository: https://github.com/dharmik7878/tensorflow

## Overview

TensorFlow is an end-to-end machine-learning framework with Python and C++ APIs. A typical user workflow builds a computation from tensor operations, runs it on available devices, and uses results in training or inference; models can also be saved, restored, or converted for deployment. The tree additionally shows distributed execution, gradients, and accelerator-specific paths. The excerpts are selective, so the graph represents documented capabilities and visible subsystems without claiming uninspected modules are directly wired together.

Main entry points: [`tensorflow/cc/ops/standard_ops.h`](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/ops/standard_ops.h) (Tensor operations), [`tensorflow/__init__.py`](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/__init__.py) (Python API), [`tensorflow/cc/framework/ops.cc`](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/framework/ops.cc) (C++ API), [`tensorflow/python/distribute/central_storage_strategy.py`](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/python/distribute/central_storage_strategy.py) (Distributed strategy)

## Diagram (Mermaid)

```mermaid
flowchart TD

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

subgraph group_runtime["Execution and training"]
  node_ops["Tensor operations<br/>[standard_ops.h]"]
  node_gradients["Gradient computation<br/>[gradients.cc]"]
  node_distribution["Distributed strategy"]
  node_session["Session execution<br/>[client_session.cc]"]
end

subgraph group_models["Model lifecycle"]
  node_saved["SavedModel loading<br/>[loader.cc]"]
  node_savedapi["SavedModel API"]
end

subgraph group_accelerators["Compilation and devices"]
  node_xla["XLA compilation"]
  node_tfrt["TFRT execution"]
  node_trt_op["TensorRT operation<br/>[trt_engine_op.cc]"]
  node_trt_kernel["TensorRT execution<br/>[trt_engine_op.cc]"]
  node_tflite["StableHLO conversion"]
  node_tpu["TPU embedding state"]
end

subgraph group_interop["Interop and storage"]
  node_filesystem["Filesystem plugins"]
  node_benchmark[("Benchmark result storage<br/>[fb_storage.h]")]
end

node_user(("Application developer"))
node_tensor_rt["TensorRT"]

node_user -->|"uses"| node_python
node_user -->|"uses"| node_capi
node_user -->|"uses"| node_cpp
node_python -->|"builds computations"| node_ops
node_cpp -->|"builds computations"| node_ops
node_ops -->|"executes graph"| node_session
node_ops -->|"computes gradients"| node_gradients
node_user -->|"trains across devices"| node_distribution
node_distribution -->|"runs computation"| node_session
node_user -->|"loads model"| node_saved
node_savedapi -->|"loads model"| node_saved
node_ops -->|"compiles eligible graphs"| node_xla
node_ops -->|"lowers for execution"| node_tfrt
node_trt_op -->|"dispatches execution"| node_trt_kernel
node_trt_kernel -->|"builds and runs engine"| node_tensor_rt
node_user -->|"converts model"| node_tflite
node_user -->|"accesses files"| node_filesystem
node_user -->|"records benchmark results"| node_benchmark
node_tpu --> node_tensor_rt

click node_python "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/__init__.py"
click node_capi "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/c/c_api.cc"
click node_cpp "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/framework/ops.cc"
click node_ops "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/ops/standard_ops.h"
click node_gradients "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/framework/gradients.cc"
click node_distribution "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/python/distribute/central_storage_strategy.py"
click node_session "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/client/client_session.cc"
click node_saved "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/saved_model/loader.cc"
click node_savedapi "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/c/experimental/saved_model/core/tf_saved_model_api.cc"
click node_xla "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/jit/mark_for_compilation_pass.cc"
click node_tfrt "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/mlir/tfrt/transforms/tfrt_pipeline_options.h"
click node_trt_op "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc"
click node_trt_kernel "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc"
click node_tflite "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/mlir/lite/python/stablehlo_tfl_pipeline.cc"
click node_tpu "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/core/tpu/kernels/tpu_embedding_engine_state_interface.h"
click node_filesystem "https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/c/experimental/filesystem/modular_filesystem.cc"
click node_benchmark "https://github.com/dharmik7878/tensorflow/blob/master/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,node_capi,node_cpp toneBlue
class node_ops,node_gradients,node_distribution,node_session toneAmber
class node_saved,node_savedapi toneMint
class node_xla,node_tfrt,node_trt_op,node_trt_kernel,node_tflite,node_tpu toneRose
class node_filesystem,node_benchmark,node_user,node_tensor_rt toneIndigo
```

## Components

### User APIs

- [Python API](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/__init__.py): `tensorflow/__init__.py`
- [C API](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/c/c_api.cc): `tensorflow/c/c_api.cc`
- [C++ API](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/framework/ops.cc): `tensorflow/cc/framework/ops.cc`

### Execution and training

- [Tensor operations](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/ops/standard_ops.h): `tensorflow/cc/ops/standard_ops.h`
- [Gradient computation](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/framework/gradients.cc): `tensorflow/cc/framework/gradients.cc`
- [Distributed strategy](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/python/distribute/central_storage_strategy.py): `tensorflow/python/distribute/central_storage_strategy.py`
- [Session execution](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/client/client_session.cc): `tensorflow/cc/client/client_session.cc`

### Model lifecycle

- [SavedModel loading](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/cc/saved_model/loader.cc): `tensorflow/cc/saved_model/loader.cc`
- [SavedModel API](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/c/experimental/saved_model/core/tf_saved_model_api.cc): `tensorflow/c/experimental/saved_model/core/tf_saved_model_api.cc`

### Compilation and devices

- [XLA compilation](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/jit/mark_for_compilation_pass.cc): `tensorflow/compiler/jit/mark_for_compilation_pass.cc`
- [TFRT execution](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/mlir/tfrt/transforms/tfrt_pipeline_options.h): `tensorflow/compiler/mlir/tfrt/transforms/tfrt_pipeline_options.h`
- [TensorRT operation](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc): `tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc`
- [TensorRT execution](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc): `tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc`
- [StableHLO conversion](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/compiler/mlir/lite/python/stablehlo_tfl_pipeline.cc): `tensorflow/compiler/mlir/lite/python/stablehlo_tfl_pipeline.cc`
- [TPU embedding state](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/core/tpu/kernels/tpu_embedding_engine_state_interface.h): `tensorflow/core/tpu/kernels/tpu_embedding_engine_state_interface.h`

### Interop and storage

- [Filesystem plugins](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/c/experimental/filesystem/modular_filesystem.cc): `tensorflow/c/experimental/filesystem/modular_filesystem.cc`
- [Benchmark result storage](https://github.com/dharmik7878/tensorflow/blob/master/tensorflow/lite/experimental/acceleration/mini_benchmark/fb_storage.h): `tensorflow/lite/experimental/acceleration/mini_benchmark/fb_storage.h`

### Other components

- **Application developer**
- **TensorRT**

## Connections

- Application developer → Python API: uses
- Application developer → C API: uses
- Application developer → C++ API: uses
- Python API → Tensor operations: builds computations
- C++ API → Tensor operations: builds computations
- Tensor operations → Session execution: executes graph
- Tensor operations → Gradient computation: computes gradients
- Application developer → Distributed strategy: trains across devices
- Distributed strategy → Session execution: runs computation
- Application developer → SavedModel loading: loads model
- SavedModel API → SavedModel loading: loads model
- Tensor operations → XLA compilation: compiles eligible graphs
- Tensor operations → TFRT execution: lowers for execution
- TensorRT operation → TensorRT execution: dispatches execution
- TensorRT execution → TensorRT: builds and runs engine
- Application developer → StableHLO conversion: converts model
- Application developer → Filesystem plugins: accesses files
- Application developer → Benchmark result storage: records benchmark results
- TPU embedding state → TensorRT