base_function.h 2.6 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96
// Copyright (c) 2022 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 <ostream>
#include <string>

#include "paddle/fluid/framework/executor.h"
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/utils/none.h"
#include "paddle/utils/optional.h"

namespace paddle {
namespace jit {

using Variable = paddle::framework::Variable;
using VariableNameMap = std::map<std::string, Variable>;
using DenseTensor = phi::DenseTensor;

class Argument {
 public:
  explicit Argument(const std::string &name, bool is_out = false);

  const std::string &Name() const;

 private:
  std::string name_;
  // paddle::optional<Variable> default_val_;
  bool is_output_;
};

class FunctionSchema {
 public:
  FunctionSchema() = default;

  std::vector<std::string> GetInputArgNames();

  std::vector<std::string> GetOutputArgNames();

  void AddInputArg(std::string name, bool is_output);

  void AddOutputArg(std::string name, bool is_output);

 private:
  std::vector<Argument> input_args;
  std::vector<Argument> output_args;
};

// TODO(dev): make it as abstract class
class BaseFunction {
 public:
  BaseFunction(const framework::ProgramDesc &program_desc,
               const std::vector<std::string> param_names_for_program,
               const VariableNameMap &params_dict);

  virtual ~BaseFunction() {}

  virtual std::vector<Variable> operator()(const VariableNameMap &inputs) = 0;

 protected:
  void FetchOutput(std::vector<Variable> *outs);

  void ShareIntoScope(const VariableNameMap &ivals);

  void SharePartialIntoScope(
      const std::vector<std::string> param_names_for_program,
      const VariableNameMap &params_dict);

  void RemoveFeedFetch();

 protected:
  framework::ProgramDesc program_desc_;
  // TODO(dev): need a better way to share params
  // std::vector<Variable> &param_for_program_;
  // std::vector<std::string> skip_var_name_;
  FunctionSchema schema_;
  // global_scope place params
  framework::Scope scope_;
  //   framework::Executor inner_exe_;
};

}  // namespace jit
}  // namespace paddle