kernel_base.h 3.9 KB
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/* 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
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#include "paddle/fluid/operators/jit/macro.h"
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#include "paddle/fluid/platform/macros.h"

namespace paddle {
namespace operators {
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namespace jit {
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typedef enum {
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  non_kernel = 0,
  vmul = 1,
  vadd = 2,
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  vaddrelu,
  vsub,
  vscal,
  vaddbias,
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  vrelu,
  videntity,
  vexp,
  vsigmoid,
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  vtanh,
  lstmctht,
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  lstmc1h1,
  gruh1,
  gruhtpart1,
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  gruhtpart2,
  crfdecoding,
  layernorm
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} KernelType;
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template <typename T>
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struct XYZNTuples {
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  typedef T data_type;
  typedef int attr_type;
  typedef void (*func_type)(const T*, const T*, T*, int);
};

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template <typename T>
struct AXYNTuples : public XYZNTuples<T> {};

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template <typename T>
struct XYNTuples {
  typedef T data_type;
  typedef int attr_type;
  typedef void (*func_type)(const T*, T*, int);
};

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typedef struct {
  void* gates;  // gates: x_ch, x_ih, x_fh, x_oh
  const void* ct_1;
  void* ct;
  void* ht;
  /* weight_peephole and checked data are only used in peephole*/
  const void* wp{nullptr};  //  W_ic, W_fc, W_oc
  void* checked{nullptr};   // size: 2 * d
} lstm_t;

typedef struct {
  void* gates;  // gates: {x_update, x_reset; x_state}
  const void* ht_1;
  void* ht;
} gru_t;

struct rnn_attr_s {
  int d;
  KernelType act_gate, act_cand;
  rnn_attr_s() = default;
  rnn_attr_s(int _d, KernelType _act_gate, KernelType _act_cand)
      : d(_d), act_gate(_act_gate), act_cand(_act_cand) {}
};

struct lstm_attr_s : public rnn_attr_s {
  bool use_peephole;
  KernelType act_cell;
  lstm_attr_s() = default;
  lstm_attr_s(int _d, KernelType _act_gate, KernelType _act_cand,
              KernelType _act_cell, bool _use_peephole = false)
      : rnn_attr_s(_d, _act_gate, _act_cand),
        use_peephole(_use_peephole),
        act_cell(_act_cell) {}
};

typedef struct rnn_attr_s gru_attr_t;
typedef struct lstm_attr_s lstm_attr_t;

template <typename T>
struct LSTMTuples {
  typedef T data_type;
  typedef lstm_attr_t attr_type;
  typedef void (*func_type)(lstm_t*, const lstm_attr_t*);
};

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template <typename T>
struct GRUTuples {
  typedef T data_type;
  typedef gru_attr_t attr_type;
  typedef void (*func_type)(gru_t*, const gru_attr_t*);
};

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template <typename T>
struct CRFDecodingTuples {
  typedef T data_type;
  typedef int attr_type;
  typedef void (*func_type)(const int, const T*, const T*, T*, int*, int);
};

template <typename T>
struct LayerNormTuples {
  typedef T data_type;
  typedef int attr_type;
  typedef void (*func_type)(T*, T*, T*, T*, const T*, const T*, int,
                            const float, int);
};

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// Just for adding to kernel pool without template
class Kernel {
 public:
  Kernel() = default;
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  virtual ~Kernel() = default;
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  DISABLE_COPY_AND_ASSIGN(Kernel);
};

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template <typename KernelTuples>
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class KernelImpl : public Kernel {
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  using T = typename KernelTuples::data_type;
  using Func = typename KernelTuples::func_type;
  using Attr = typename KernelTuples::attr_type;

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 public:
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  virtual Func GetFunc() const { return func; }
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  virtual bool UseMe(Attr attr) const = 0;

 protected:
  Func func{nullptr};
};

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template <typename KernelTuples>
class ReferKernel : public KernelImpl<KernelTuples> {
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 public:
  // Refer code can always be used
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  bool UseMe(typename KernelTuples::attr_type attr) const override {
    return true;
  }
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};

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}  // namespace jit
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}  // namespace operators
}  // namespace paddle