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// This file defines classes for registering standard lowerings from JIT to TE
// IR.
#pragma once
#include <c10/util/variant.h>
#include <torch/csrc/jit/ir/ir.h>
#include <torch/csrc/jit/runtime/interpreter.h>
#include <torch/csrc/jit/tensorexpr/analysis.h>
#include <torch/csrc/jit/tensorexpr/codegen.h>
#include <torch/csrc/jit/tensorexpr/tensor.h>
namespace torch {
namespace jit {
namespace tensorexpr {
using ArgNone = c10::monostate;
using BufList = std::vector<tensorexpr::BufHandle>;
using DoubleList = std::vector<double>;
using IntList = std::vector<int64_t>;
using ArgValue = c10::variant<
tensorexpr::BufHandle,
tensorexpr::VarHandle,
double,
int64_t,
bool,
BufList,
DoubleList,
IntList,
std::string,
ArgNone>;
using NNCLoweringFunction = std::function<Tensor(
const std::vector<ArgValue>&,
const std::vector<ExprHandle>&,
const std::vector<ExprHandle>&,
const c10::optional<ScalarType>&,
at::Device)>;
TORCH_API FunctionSchemaMap<NNCLoweringFunction>& getNNCLoweringRegistry();
TORCH_API NNCLoweringFunction getStandardLoweringFor(const std::string& op);
struct RegisterNNCLoweringsFunction {
RegisterNNCLoweringsFunction(
const std::vector<std::string>& schemas,
NNCLoweringFunction fn);
};
} // namespace tensorexpr
} // namespace jit
} // namespace torch
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