/usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/jit/tensorexpr
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/jit/tensorexpr/cpp_codegen.h (2278B)
#pragma once
#include
#include
namespace torch {
namespace jit {
namespace tensorexpr {
class CppVarNameRewriter;
// Generates C++ code from the IR.
//
// Vector operations are unrolled.
// For example:
// C[Ramp(0, 1, 3)] = A[Ramp(0, 2, 3)] + B[Ramp(0, 3, 3)];
// is unrolled into:
// C[0] = A[0] + B[0];
// C[1] = A[2] + B[3];
// C[2] = A[4] + B[6];
class TORCH_API CppPrinter : public IRPrinter {
public:
explicit CppPrinter(std::ostream* os);
~CppPrinter() override;
void printPrologue();
using IRPrinter::visit;
// Binary expressions.
void visit(ModPtr) override;
void visit(MaxPtr) override;
void visit(MinPtr) override;
// Conditional expressions.
void visit(CompareSelectPtr) override;
void visit(IfThenElsePtr) override;
// Tensor operations.
void visit(AllocatePtr) override;
void visit(FreePtr) override;
void visit(LoadPtr) override;
void visit(StorePtr) override;
// Casts.
void visit(CastPtr) override;
void visit(BitCastPtr) override;
// Calls.
void visit(IntrinsicsPtr) override;
void visit(ExternalCallPtr) override;
// Vars.
void visit(LetPtr) override;
void visit(VarPtr) override;
// Vector data types.
void visit(RampPtr) override;
void visit(BroadcastPtr) override;
private:
int lane_;
std::unordered_map vector_vars_;
};
class TORCH_API CppCodeGen : public CodeGen {
public:
CppCodeGen(
StmtPtr stmt,
const std::vector& buffer_args,
at::Device device = at::kCPU,
const std::string& kernel_func_name = "func");
~CppCodeGen() override;
void call(const std::vector& args) override;
void call_raw(const std::vector& args) override;
template
void operator()(const Ts&... ts) {
call(std::vector({CallArg(ts)...}));
}
std::string getCodeText(const std::string& attr = "") override {
return oss_.str();
}
private:
void init();
std::ostream& os() {
return printer_->os();
}
std::ostringstream oss_;
std::unique_ptr printer_;
std::unique_ptr var_name_rewriter_;
};
} // namespace tensorexpr
} // namespace jit
} // namespace torch