include/tenzr/frontend/ufunc.h
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// Copyright 2026 The Tenzr Project Authors
//
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef TENZR_FRONTEND_UFUNC_H_
#define TENZR_FRONTEND_UFUNC_H_
#include <functional>
#include <memory>
#include <string>
#include <unordered_map>
#include <vector>
#include "tenzr/common/error.h"
#include "tenzr/frontend/dtype.h"
#include "tenzr/frontend/shape.h"
#include "tenzr/frontend/tensor.h"
namespace tenzr {
enum class UFuncOp {
kAdd,
kSubtract,
kMultiply,
kDivide,
kMaximum,
kMinimum,
kNegative,
kAbsolute,
kExponential,
kLogarithm,
kSquareRoot,
kSin,
kCos,
kTanh,
kSigmoid
};
class UFunc {
public:
using BinaryFn = std::function<Tensor(const Tensor&, const Tensor&)>;
using UnaryFn = std::function<Tensor(const Tensor&)>;
UFunc(std::string name, UFuncOp op, BinaryFn binary_impl);
UFunc(std::string name, UFuncOp op, UnaryFn unary_impl);
const std::string& Name() const { return name_; }
UFuncOp Op() const { return op_; }
bool IsBinary() const { return is_binary_; }
Tensor operator()(const Tensor& a, const Tensor& b) const;
Tensor operator()(const Tensor& a) const;
private:
std::string name_;
UFuncOp op_;
bool is_binary_{true};
BinaryFn binary_impl_;
UnaryFn unary_impl_;
};
class UFuncRegistry {
public:
static UFuncRegistry& Instance();
void RegisterUfunc(std::shared_ptr<UFunc> ufunc);
std::shared_ptr<UFunc> Find(const std::string& name) const;
bool Has(const std::string& name) const;
// Common standard ufuncs
Tensor Add(const Tensor& a, const Tensor& b);
Tensor Subtract(const Tensor& a, const Tensor& b);
Tensor Multiply(const Tensor& a, const Tensor& b);
Tensor Divide(const Tensor& a, const Tensor& b);
Tensor Negative(const Tensor& a);
Tensor Absolute(const Tensor& a);
Tensor Exponential(const Tensor& a);
Tensor Logarithm(const Tensor& a);
Tensor SquareRoot(const Tensor& a);
Tensor Sin(const Tensor& a);
Tensor Cos(const Tensor& a);
Tensor tanh(const Tensor& a);
Tensor sigmoid(const Tensor& a);
private:
UFuncRegistry();
void RegisterBuiltins();
std::unordered_map<std::string, std::shared_ptr<UFunc>> ufuncs_;
};
namespace ufunc {
inline Tensor Add(const Tensor& a, const Tensor& b) { return UFuncRegistry::Instance().Add(a, b); }
inline Tensor Subtract(const Tensor& a, const Tensor& b) { return UFuncRegistry::Instance().Subtract(a, b); }
inline Tensor Multiply(const Tensor& a, const Tensor& b) { return UFuncRegistry::Instance().Multiply(a, b); }
inline Tensor Divide(const Tensor& a, const Tensor& b) { return UFuncRegistry::Instance().Divide(a, b); }
} // namespace ufunc
} // namespace tenzr
#endif // TENZR_FRONTEND_UFUNC_H_