pytorch/torch/csrc/jit/runtime/decomposition_registry.h
Nikita Shulga ad8aef0f98 [BE] [3/N] Use nested namespaces (#110314)
Mostly in torch/csrc/jit/runtime and in `ATen/cuda/`

Pull Request resolved: https://github.com/pytorch/pytorch/pull/110314
Approved by: https://github.com/seemethere
2023-09-30 02:23:48 +00:00

34 lines
1.0 KiB
C++

#pragma once
// This file is temporary until native_functions.yaml and derivatives.yaml are
// merged. Ideally this should all go into native_functions.yaml
#include <torch/csrc/Export.h>
#include <torch/csrc/jit/ir/ir.h>
namespace torch::jit {
TORCH_API c10::optional<std::shared_ptr<Graph>> GetDecomposition(
const FunctionSchema& schema);
TORCH_API void RegisterDecomposition(
const FunctionSchema& schema,
std::shared_ptr<Graph> g);
TORCH_API void RunDecompositions(std::shared_ptr<Graph> g);
TORCH_API c10::optional<GraphFunction*> GetDecompositionFunction(
const FunctionSchema& schema);
// For invocation in C++, recommended is to assign to static local variable
TORCH_API Function* GetDecompositionExecutor(const char* schema_literal);
TORCH_API Function* GetDecompositionExecutor(const FunctionSchema& schema);
TORCH_API void run_jit_decomposition(
const c10::OperatorHandle& op,
torch::jit::Stack* stack);
TORCH_API bool has_jit_decomposition(const FunctionSchema& schema);
} // namespace torch::jit