ipu_executor.h 2.5 KB
Newer Older
J
jianghaicheng 已提交
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
/* 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

#include <popart/dataflow.hpp>
#include <popart/names.hpp>
#include <popart/session.hpp>

#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/platform/ipu/common.h"
#include "paddle/fluid/platform/ipu/ipu_optimizer.h"
#include "paddle/fluid/platform/ipu/ipu_strategy.h"
#include "paddle/fluid/platform/ipu/ipu_utils.h"

namespace paddle {
namespace platform {
namespace ipu {

class Executor {
 public:
  Executor();
  ~Executor();

  void Prepare(const std::string &proto,
               const std::map<std::string, popart::TensorId> &tensors,
               const std::vector<popart::TensorId> &outputs,
               std::shared_ptr<popart::DeviceInfo> device);

  void Run(const std::vector<popart::TensorId> &inputs_id,
           const std::vector<const framework::Tensor *> &inputs,
           const std::vector<popart::TensorId> &outputs_id,
           const std::vector<framework::Tensor *> &outputs,
           const framework::ExecutionContext &ctx);

  // Optimizer
  void SetOptimizerType(const std::string &type);
  void SetOptimizerAttr(const std::string &attr, float value);
  void SetLoss(const std::string &loss);
  void SetLR(float lr_rate);
  void SetLRVarName(const std::string &name);

  void SetWeights(const std::vector<popart::TensorId> &info);

  void SetWeightsIO();
  void WeightsFromPaddle();
  void WeightsToPaddle();

  // Scope
  void SetScope(const framework::Scope *scope) { scope_ = scope; }

  // Strategy
  void SetIpuStrategy(const IpuStrategy &strategy);

 private:
  float GetLRFromScope();

 public:
  OptmizerMetaInfo opt_info;
  std::unique_ptr<popart::Session> session_;

 private:
  const framework::Scope *scope_ = nullptr;
  const IpuStrategy *ipu_strategy_ = nullptr;
  popart::WeightsIO weights_io_;
  std::vector<popart::TensorId> weights_;
};

}  // namespace ipu
}  // namespace platform
}  // namespace paddle