kernel_base.h 1.6 KB
Newer Older
T
tensor-tang 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
/* Copyright (c) 2018 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
#include "paddle/fluid/platform/macros.h"

namespace paddle {
namespace operators {
T
tensor-tang 已提交
20
namespace jit {
T
tensor-tang 已提交
21 22 23

typedef enum { vmul = 0, vadd = 1, vsub, vexp } KernelType;

T
tensor-tang 已提交
24
template <typename T>
T
tensor-tang 已提交
25
struct VMulTuples {
T
tensor-tang 已提交
26 27 28 29 30
  typedef T data_type;
  typedef int attr_type;
  typedef void (*func_type)(const T*, const T*, T*, int);
};

T
tensor-tang 已提交
31 32 33 34
// Just for adding to kernel pool without template
class Kernel {
 public:
  Kernel() = default;
T
tensor-tang 已提交
35
  virtual ~Kernel() = default;
T
tensor-tang 已提交
36 37 38
  DISABLE_COPY_AND_ASSIGN(Kernel);
};

T
tensor-tang 已提交
39
template <typename T, typename Func, typename Attr>
T
tensor-tang 已提交
40 41
class KernelImpl : public Kernel {
 public:
T
tensor-tang 已提交
42
  using ELEMENT_TYPE = T;
T
tensor-tang 已提交
43
  virtual Func GetFunc() const { return func; }
T
tensor-tang 已提交
44 45 46 47 48 49
  virtual bool UseMe(Attr attr) const = 0;

 protected:
  Func func{nullptr};
};

T
tensor-tang 已提交
50
template <typename T, typename Func, typename Attr>
T
tensor-tang 已提交
51 52 53 54 55 56
class ReferKernel : public KernelImpl<T, Func, Attr> {
 public:
  // Refer code can always be used
  bool UseMe(Attr attr) const override { return true; }
};

T
tensor-tang 已提交
57
}  // namespace jit
T
tensor-tang 已提交
58 59
}  // namespace operators
}  // namespace paddle