# tensorplay.compiler

Source: https://www.tensorplay.cn/docs/compiler.html

# tensorplay.compiler

TensorPlay ships an in-process graph compiler used by tensorplay.stax
and the CUDA graphs workflow. This module is TensorPlay-specific and has no
direct upstream torch counterpart (it is conceptually closest to
torch.compile internals plus torch.cuda.graphs).

The reference below is a static listing: the underlying extension modules are
under active development, so this page intentionally does not use autodoc.

## Graph IR

- Graph , Node , GraphModule — graph representation and module wrapper

- PassBase , DecomposePass , ConstFold , DeadCodeElimination , NormalizeOperators — compiler passes

- NodePathTracer — attribution helper

## CUDA graphs

- CudaGraphManager , CudaGraphError — capture/replay management

- Guard , GuardChain — shape/guard caching for replay validation

## Caching and errors

- CodeCache — compiled artifact cache

- AOTError , GraphCaptureError — error types

## Related modules

- tensorplay.jit — tracing/scripting entry points ( script , trace , export , ignore , is_tracing )

- tensorplay.export — ExportedProgram / GraphSignature export format

- tensorplay.cuda.CUDAGraph — low-level stream capture API