mirror of https://github.com/llvm/torch-mlir
38 lines
1.2 KiB
C++
38 lines
1.2 KiB
C++
//===- graph_importer.h -----------------------------------------*- C++ -*-===//
|
|
//
|
|
// This file is licensed under a pytorch-style license
|
|
// See frontends/pytorch/LICENSE for license information.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_GRAPH_IMPORTER_H
|
|
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_GRAPH_IMPORTER_H
|
|
|
|
#include <memory>
|
|
|
|
#include "../pybind.h"
|
|
#include "func_builder.h"
|
|
#include "node_importer.h"
|
|
|
|
#include "mlir-c/IR.h"
|
|
|
|
#include <torch/csrc/jit/api/compilation_unit.h>
|
|
#include <torch/csrc/jit/ir/ir.h>
|
|
|
|
namespace torch_mlir {
|
|
|
|
/// Main entry-point for importing torch::jit::Graph instances.
|
|
///
|
|
/// This code doesn't handle importing of torch::jit::Module's. See
|
|
/// IValueImporter for that.
|
|
///
|
|
/// A Graph is a combination of an MLIR context, function, and builder.
|
|
/// See NodeImporter for importing of the core IR Node/Block
|
|
/// structure that is analogous to MLIR's Operation/Region/Block core structure.
|
|
MlirOperation importGraphAsFuncOp(MlirContext context, torch::jit::Graph *graph,
|
|
const std::string &name);
|
|
|
|
} // namespace torch_mlir
|
|
|
|
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_GRAPH_IMPORTER_H
|