How saikumarchalla/tensorflow works
TensorFlow is an end-to-end machine-learning platform with Python and C++ APIs. The principal workflow is to submit tensor operations, execute them on available devices, and receive tensor results; training can add distribution and gradient computation, while compilation and model export support deployment. The graph also includes profiling, SavedModel, and filesystem capabilities visible in the tree. The README documents the APIs and product scope, but most implementation files were not sampled, so the subsystem links are architectural rather than verified call-by-call traces.
Main entry points: ops.cc C++ operations · __init__.py Python API · kernels.cc Kernel interface · modular_filesystem.cc Filesystem plugins
Components 18
User APIs
- Python API
tensorflow/__init__.py - C API
tensorflow/c/c_api.cc - C++ operations
tensorflow/cc/framework/ops.cc
Execution and training
- Eager execution
tensorflow/c/eager/c_api.cc - Gradient computation
tensorflow/cc/framework/gradients.cc - Distributed training
tensorflow/python/distribute/central_storage_strategy.py - Kernel interface
tensorflow/c/kernels.cc
Compilation
- TensorRT operation
tensorflow/compiler/tf2tensorrt/ops/trt_engine_op.cc - TensorRT execution
tensorflow/compiler/tf2tensorrt/kernels/trt_engine_op.cc - XLA optimization
tensorflow/compiler/xla/service/hlo_pass_pipeline.cc
Models and data
- SavedModel loading
tensorflow/cc/saved_model/loader.cc - Model export
tensorflow/cc/experimental/libexport/save.cc - Filesystem plugins
tensorflow/c/experimental/filesystem/modular_filesystem.cc
Profiling
- Input analysis
tensorflow/core/profiler/convert/op_stats_to_input_pipeline_analysis.cc - Pipeline report
tensorflow/core/profiler/protobuf/input_pipeline.proto
Other components
- Python user
- C++ user
- External storage
Connections 17
- Python user → Python API: calls API
- C++ user → C API: calls API
- C++ user → C++ operations: builds operations
- Python API → Eager execution: submits operations
- Python API → C++ operations: builds operations
- C API → Kernel interface: registers kernels
- C++ operations → Kernel interface: dispatches operations
- Eager execution → Kernel interface: dispatches operations
- C++ operations → Gradient computation: computes gradients
- Distributed training → Python API: runs training
- C++ operations → XLA optimization: compiles operations
- TensorRT operation → TensorRT execution: dispatches segment
- TensorRT execution → Kernel interface: executes fallback
- SavedModel loading → Filesystem plugins: reads model
- Model export → Filesystem plugins: writes model
- Filesystem plugins → External storage: reads and writes
- Input analysis → Pipeline report: produces report