Compute Library
 21.02
NEConvertFullyConnectedWeights.h
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24 #ifndef ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H
25 #define ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H
26 
31 #include <memory>
32 
33 namespace arm_compute
34 {
35 // Forward declarations
36 class ITensor;
37 class NEConvertFullyConnectedWeightsKernel;
38 
39 /** Basic function to run @ref NEConvertFullyConnectedWeightsKernel. */
41 {
42 public:
43  /** Default constructor */
45  /** Prevent instances of this class from being copied (As this class contains pointers) */
47  /** Prevent instances of this class from being copied (As this class contains pointers) */
49  /** Prevent instances of this class from being moved (As this class contains non movable objects) */
51  /** Prevent instances of this class from being moved (As this class contains non movable objects) */
53  /** Default destructor */
55  /** Initialize the function.
56  *
57  * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All.
58  * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input.
59  * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
60  * @param[in] data_layout The data layout the weights have been trained in.
61  */
62  void configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
63  /** Static function to check if given info will lead to a valid configuration of @ref NEConvertFullyConnectedWeights
64  *
65  * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All.
66  * @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input.
67  * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
68  * @param[in] data_layout The data layout the weights have been trained in.
69  *
70  * @return A Status
71  */
72  static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout);
73 
74  // Inherited methods overriden:
75  void run() override;
76 
77 private:
78  std::unique_ptr<NEConvertFullyConnectedWeightsKernel> _kernel;
79 };
80 
81 namespace weights_transformations
82 {
83 /** Basic function to run @ref NEConvertFullyConnectedWeightsKernel. */
85 {
86 public:
87  void run() override
88  {
89  _output.allocator()->allocate();
90  _func.run();
91  _reshape_run = true;
92  }
93 
94  void release() override
95  {
96  _output.allocator()->free();
97  }
98 
99  ITensor *get_weights() override
100  {
101  return &_output;
102  }
103 
104  uint32_t uid() override
105  {
106  return _uid;
107  }
108 
109  void configure(const ITensor *input, const TensorShape &original_input_shape, DataLayout data_layout)
110  {
111  _func.configure(input, &_output, original_input_shape, data_layout);
112  }
113 
114 private:
115  static constexpr uint32_t _uid = 0x4;
116  Tensor _output{};
118 };
119 } // namespace weights_transformations
120 } // namespace arm_compute
121 #endif /* ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H */
NEConvertFullyConnectedWeights & operator=(const NEConvertFullyConnectedWeights &)=delete
Prevent instances of this class from being copied (As this class contains pointers) ...
Shape of a tensor.
Definition: TensorShape.h:39
Base class for all functions.
Definition: IFunction.h:30
const DataLayout data_layout
Definition: Im2Col.cpp:151
Store the tensor&#39;s metadata.
Definition: ITensorInfo.h:40
Status class.
Definition: Error.h:52
Interface for Neon tensor.
Definition: ITensor.h:36
Copyright (c) 2017-2021 Arm Limited.
Basic function to run NEConvertFullyConnectedWeightsKernel.
ITensor * get_weights() override
Get a pointer to the transformed weights.
void configure(const ITensor *input, const TensorShape &original_input_shape, DataLayout data_layout)
Basic implementation of the tensor interface.
Definition: Tensor.h:37
void configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, DataLayout data_layout)
Initialize the function.
~NEConvertFullyConnectedWeights()
Default destructor.
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout)
Static function to check if given info will lead to a valid configuration of NEConvertFullyConnectedW...
Weights tensor transform interface In order to identify the different reshape functions, each reshape function has to generate a unique id.
uint32_t uid() override
Function that returns a unique id of the reshape function.
DataLayout
[DataLayout enum definition]
Definition: Types.h:120
void run() override
Run the kernels contained in the function.