未验证 提交 830debc2 编写于 作者: N niuliling123 提交者: GitHub

Add functor_primitives.h for kernel primtive api (#36203)

* Add functor_primitives.h for kernel primtive api

* update

* move namespace kps

* subFunctor init_data

* delete InvalidArgumentError
上级 eaeeb884
// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
//
// 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
//
// http://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.
#pragma once
namespace paddle {
namespace operators {
namespace kernel_primitives {
namespace details {
static __device__ __forceinline__ platform::float16 Exp(platform::float16 x) {
return ::Eigen::numext::exp(x);
}
static __device__ __forceinline__ float Exp(float x) { return expf(x); }
static __device__ __forceinline__ double Exp(double x) { return exp(x); }
static __device__ __forceinline__ platform::float16 Log(platform::float16 x) {
return ::Eigen::numext::log(x);
}
static __device__ __forceinline__ float Log(float x) { return logf(x); }
static __device__ __forceinline__ double Log(double x) { return log(x); }
} // namespace details
/******************************** Unary Functor *******************************/
/**
* @brief Default unary exp functor
*/
template <typename Tx, typename Ty = Tx>
struct ExpFunctor {
HOSTDEVICE inline ExpFunctor() {}
HOSTDEVICE explicit inline ExpFunctor(int n) {}
HOSTDEVICE inline Ty operator()(const Tx& x) const {
return static_cast<Ty>(details::Exp(x));
}
};
/**
* @brief Default unary identity functor
*/
template <typename Tx, typename Ty = Tx>
struct IdentityFunctor {
HOSTDEVICE inline IdentityFunctor() {}
HOSTDEVICE explicit inline IdentityFunctor(int n) {}
HOSTDEVICE inline Ty operator()(const Tx& x) const {
return static_cast<Ty>(x);
}
};
/**
* @brief Default unary div functor. Divide by a constant
*/
template <typename Tx, typename Ty = Tx>
struct DivideFunctor {
HOSTDEVICE inline DivideFunctor() { n_inv = static_cast<Tx>(1.0f); }
HOSTDEVICE explicit inline DivideFunctor(int n) : n_inv((Tx)(1.0 / n)) {}
HOSTDEVICE inline Ty operator()(const Tx& x) const {
return static_cast<Ty>(x * n_inv);
}
private:
Tx n_inv;
};
/**
* @brief Default unary square functor
*/
template <typename Tx, typename Ty = Tx>
struct SquareFunctor {
HOSTDEVICE inline SquareFunctor() {}
HOSTDEVICE explicit inline SquareFunctor(int n) {}
HOSTDEVICE inline Ty operator()(const Tx& x) const {
return static_cast<Ty>(x) * static_cast<Ty>(x);
}
};
/****************************** Binary Functor ********************************/
/**
* @brief Default binary min functor
*/
template <typename T>
struct MinFunctor {
inline T initial() { return static_cast<T>(std::numeric_limits<T>::max()); }
__device__ __forceinline__ T operator()(const T& a, const T& b) const {
return (b < a) ? b : a;
}
};
/**
* @brief Default binary max functor
*/
template <typename T>
struct MaxFunctor {
inline T initial() {
return static_cast<T>(std::numeric_limits<T>::lowest());
}
__device__ __forceinline__ T operator()(const T& a, const T& b) const {
return (b > a) ? b : a;
}
};
/**
* @brief Default binary add functor
*/
template <typename T>
struct AddFunctor {
inline T initial() { return static_cast<T>(0.0f); }
__device__ __forceinline__ T operator()(const T& a, const T& b) const {
return b + a;
}
};
/**
* @brief Default binary add functor
*/
template <typename T>
struct MulFunctor {
inline T initial() { return static_cast<T>(1.0f); }
__device__ __forceinline__ T operator()(const T& a, const T& b) const {
return b * a;
}
};
/**
* @brief Default binary logic or functor
*/
template <typename T>
struct LogicalOrFunctor {
inline T initial() { return static_cast<T>(false); }
__device__ __forceinline__ T operator()(const T& a, const T& b) const {
return b || a;
}
};
/**
* @brief Default binary logic and functor
*/
template <typename T>
struct LogicalAndFunctor {
inline T initial() { return static_cast<T>(true); }
__device__ __forceinline__ T operator()(const T& a, const T& b) const {
return b && a;
}
};
/**
* @brief Default binary sub functor
*/
template <typename T>
struct SubFunctor {
inline T initial() { return static_cast<T>(0.0f); }
inline HOSTDEVICE T operator()(const T& a, const T& b) const { return a - b; }
};
/**
* @brief Default binary div functor
*/
template <typename T, typename Enable = void>
struct DivFunctor {
inline T initial() { return static_cast<T>(1.0f); }
inline HOSTDEVICE T operator()(const T& a, const T& b) const { return a / b; }
};
template <typename T>
struct DivFunctor<T,
typename std::enable_if<std::is_integral<T>::value>::type> {
inline T initial() { return static_cast<T>(1.0f); }
inline HOSTDEVICE T operator()(const T& a, const T& b) const {
// For int32/int64, need to check whether the divison is zero.
PADDLE_ENFORCE_NE(b, 0,
platform::errors::InvalidArgument(
"Integer division by zero encountered "
"in (floor) divide. Please check the input value."));
return a / b;
}
};
/**
* @brief Default binary floor divide functor
*/
template <typename T>
struct FloorDivFunctor {
inline T initial() { return static_cast<T>(1.0f); }
inline HOSTDEVICE T operator()(const T& a, const T& b) const {
PADDLE_ENFORCE_NE(b, 0,
platform::errors::InvalidArgument(
"Integer division by zero encountered "
"in (floor) divide. Please check the input value."));
return static_cast<T>(std::trunc(a / b));
}
};
} // namespace kernel_primitives
} // namespace operators
} // namespace paddle
......@@ -16,6 +16,7 @@
#include "paddle/fluid/operators/kernel_primitives/compute_primitives.h"
#include "paddle/fluid/operators/kernel_primitives/datamover_primitives.h"
#include "paddle/fluid/operators/kernel_primitives/functor_primitives.h"
#include "paddle/fluid/operators/kernel_primitives/helper_primitives.h"
namespace paddle {
......
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