geopm  3.1.1.dev296+g5916b956
GEOPM - Global Extensible Open Power Manager
NNFactory.hpp
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1 /*
2  * Copyright (c) 2015 - 2024 Intel Corporation
3  * SPDX-License-Identifier: BSD-3-Clause
4  */
5 
6 #ifndef NNFACTORY_HPP_INCLUDE
7 #define NNFACTORY_HPP_INCLUDE
8 
9 #include <memory>
10 #include <vector>
11 
12 #include "DenseLayer.hpp"
13 #include "LocalNeuralNet.hpp"
14 #include "TensorOneD.hpp"
15 #include "TensorTwoD.hpp"
16 
17 namespace geopm
18 {
21  class NNFactory {
22  public:
25  static std::unique_ptr<NNFactory> make_unique();
28  static std::shared_ptr<NNFactory> make_shared();
29  virtual ~NNFactory() = default;
35  virtual std::shared_ptr<LocalNeuralNet> createLocalNeuralNet(const std::vector<std::shared_ptr<DenseLayer> > &layers) const = 0;
43  virtual std::shared_ptr<DenseLayer> createDenseLayer(const TensorTwoD &weights, const TensorOneD &biases) const = 0;
49  virtual TensorTwoD createTensorTwoD(const std::vector<std::vector<double> > &vals) const = 0;
55  virtual TensorOneD createTensorOneD(const std::vector<double> &vals) const = 0;
56  };
57 }
58 
59 #endif // NNFACTORY_HPP_INCLUDE
Class to generate objects related to feed-forward neural nets, i.e. TensorOneD, TensorTwoD,...
Definition: NNFactory.hpp:21
virtual std::shared_ptr< DenseLayer > createDenseLayer(const TensorTwoD &weights, const TensorOneD &biases) const =0
Create a Dense Layer.
virtual ~NNFactory()=default
virtual TensorOneD createTensorOneD(const std::vector< double > &vals) const =0
Create a TensorOneD object.
virtual std::shared_ptr< LocalNeuralNet > createLocalNeuralNet(const std::vector< std::shared_ptr< DenseLayer > > &layers) const =0
Create a LocalNeuralNet.
static std::unique_ptr< NNFactory > make_unique()
Returns a unique pointer to a concrete object constructed using the underlying implementation.
Definition: NNFactory.cpp:14
virtual TensorTwoD createTensorTwoD(const std::vector< std::vector< double > > &vals) const =0
Create a TensorTwoD object.
static std::shared_ptr< NNFactory > make_shared()
Returns a shared pointer to a concrete object constructed using the underlying implementation.
Definition: NNFactory.cpp:19
Class to store and perform operations on 1D Tensors, aka vectors, suitable for use in feed-forward ne...
Definition: TensorOneD.hpp:21
Class to manage data and operations related to 2D Tensors required for neural net inference.
Definition: TensorTwoD.hpp:22
Definition: Accumulator.cpp:12