Compute Library
 22.05
NETileKernel.h
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2  * Copyright (c) 2018-2021 Arm Limited.
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4  * SPDX-License-Identifier: MIT
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24 #ifndef ARM_COMPUTE_NETILEKERNEL_H
25 #define ARM_COMPUTE_NETILEKERNEL_H
26 
28 
29 namespace arm_compute
30 {
31 class ITensor;
32 
33 /** Basic kernel to perform a tile operation */
34 class NETileKernel : public INEKernel
35 {
36 public:
37  /** Default constructor */
38  NETileKernel();
39  /** Prevent instances of this class from being copied (As this class contains pointers). */
40  NETileKernel(const NETileKernel &) = delete;
41  /** Prevent instances of this class from being copied (As this class contains pointers). */
42  NETileKernel &operator=(const NETileKernel &) = delete;
43  /** Allow instances of this class to be moved */
44  NETileKernel(NETileKernel &&) = default;
45  /** Allow instances of this class to be moved */
46  NETileKernel &operator=(NETileKernel &&) = default;
47  /** Default destructor */
48  ~NETileKernel() = default;
49  const char *name() const override
50  {
51  return "NETileKernel";
52  }
53  /** Set the source, destination of the kernel
54  *
55  * @param[in] input Source tensor. Data type supported: All.
56  * @param[out] output Destination tensor. Same as @p input
57  * @param[in] multiples Contains the number of times the input tensor should be replicated on the given dimension.
58  */
59  void configure(const ITensor *input, ITensor *output, const Multiples &multiples);
60  /** Static function to check if given info will lead to a valid configuration of @ref NETileKernel
61  *
62  * @param[in] input Source tensor info. Data type supported: All.
63  * @param[in] output Destination tensor info. Same as @p input
64  * @param[in] multiples Contains the number of times the input tensor should be replicated on the given dimension.
65  *
66  * @return a status
67  */
68  static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Multiples &multiples);
69 
70  // Inherited methods overridden:
71  void run(const Window &window, const ThreadInfo &info) override;
72 
73 private:
74  const ITensor *_input;
75  ITensor *_output;
76 };
77 } // namespace arm_compute
78 #endif /*ARM_COMPUTE_NETILEKERNEL_H */
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
Common interface for all kernels implemented in C++.
Definition: ICPPKernel.h:38
Store the tensor's metadata.
Definition: ITensorInfo.h:40
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Multiples &multiples)
Static function to check if given info will lead to a valid configuration of NETileKernel.
NETileKernel & operator=(const NETileKernel &)=delete
Prevent instances of this class from being copied (As this class contains pointers).
void configure(const ITensor *input, ITensor *output, const Multiples &multiples)
Set the source, destination of the kernel.
Status class.
Definition: Error.h:52
Interface for CPU tensor.
Definition: ITensor.h:36
Copyright (c) 2017-2022 Arm Limited.
const char * name() const override
Name of the kernel.
Definition: NETileKernel.h:49
Basic kernel to perform a tile operation.
Definition: NETileKernel.h:34
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
Information about executing thread and CPU.
Definition: CPPTypes.h:169
void run(const Window &window, const ThreadInfo &info) override
Execute the kernel on the passed window.
~NETileKernel()=default
Default destructor.
NETileKernel()
Default constructor.
std::vector< uint32_t > Multiples
Information to produce a tiled version of a Tensor.
Definition: Types.h:456
Describe a multidimensional execution window.
Definition: Window.h:39