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#pragma once
#include <torch/csrc/jit/tensorexpr/kernel.h>
namespace torch::jit::tensorexpr {
TORCH_API Tensor computeSign(
const std::vector<ArgValue>& inputs,
const std::vector<ExprHandle>& outputShape,
const std::optional<std::vector<ExprHandle>>& outputStrides = std::nullopt);
Tensor computeOneOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const std::optional<ScalarType>& outputType,
const std::function<ExprHandle(const ExprHandle&)>& innerExpr,
const int checkParamTypes = kAllTypes);
Tensor computeTwoOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const std::optional<ScalarType>& outputType,
const std::function<ExprHandle(const ExprHandle&, const ExprHandle&)>&
innerExpr);
Tensor computeTwoOperandWithAlpha(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const std::optional<ScalarType>& outputType,
const std::function<ExprHandle(const ExprHandle&, const ExprHandle&)>&
innerExpr);
Tensor computeConditionWithTwoOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const std::optional<ScalarType>& outputType,
const std::function<
ExprHandle(const ExprHandle&, const ExprHandle&, const ExprHandle&)>&
innerExpr);
Tensor computeThreeOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const std::optional<ScalarType>& outputType,
const std::function<
ExprHandle(const ExprHandle&, const ExprHandle&, const ExprHandle&)>&
innerExpr,
bool promote_inputs = true);
Tensor computeFourOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const std::optional<ScalarType>& outputType,
const std::function<ExprHandle(
const ExprHandle&,
const ExprHandle&,
const ExprHandle&,
const ExprHandle&)>& innerExpr);
Tensor computeNoop(
const std::vector<ArgValue>& inputs,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const std::optional<ScalarType>& outputType,
at::Device device);
Tensor computeScalar(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const std::optional<ScalarType>& outputType,
const std::function<ExprHandle(const ExprHandle&, const ExprHandle&)>&
innerExpr);
} // namespace torch::jit::tensorexpr
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