NETileKernel Class Reference

Basic kernel to perform a tile operation. More...

#include <NETileKernel.h>

Collaboration diagram for NETileKernel:

Public Member Functions
	NETileKernel ()
	Default constructor. More...
	NETileKernel (const NETileKernel &)=delete
	Prevent instances of this class from being copied (As this class contains pointers). More...
NETileKernel &	operator= (const NETileKernel &)=delete
	Prevent instances of this class from being copied (As this class contains pointers). More...
	NETileKernel (NETileKernel &&)=default
	Allow instances of this class to be moved. More...
NETileKernel &	operator= (NETileKernel &&)=default
	Allow instances of this class to be moved. More...
	~NETileKernel ()=default
	Default destructor. More...
const char *	name () const override
	Name of the kernel. More...
void	configure (const ITensor *input, ITensor *output, const Multiples &multiples)
	Set the source, destination of the kernel. More...
void	run (const Window &window, const ThreadInfo &info) override
	Execute the kernel on the passed window. More...
Public Member Functions inherited from ICPPKernel
virtual	~ICPPKernel ()=default
	Default destructor. More...
virtual void	run_nd (const Window &window, const ThreadInfo &info, const Window &thread_locator)
	legacy compatibility layer for implemantions which do not support thread_locator In these cases we simply narrow the interface down the legacy version More...
virtual void	run_op (ITensorPack &tensors, const Window &window, const ThreadInfo &info)
	Execute the kernel on the passed window. More...
virtual size_t	get_mws (const CPUInfo &platform, size_t thread_count) const
	Return minimum workload size of the relevant kernel. More...
Public Member Functions inherited from IKernel
	IKernel ()
	Constructor. More...
virtual	~IKernel ()=default
	Destructor. More...
virtual bool	is_parallelisable () const
	Indicates whether or not the kernel is parallelisable. More...
virtual BorderSize	border_size () const
	The size of the border for that kernel. More...
const Window &	window () const
	The maximum window the kernel can be executed on. More...
bool	is_window_configured () const
	Function to check if the embedded window of this kernel has been configured. More...

Static Public Member Functions
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. More...

Additional Inherited Members
Static Public Attributes inherited from ICPPKernel
static constexpr size_t	default_mws = 1

Detailed Description

Basic kernel to perform a tile operation.

Definition at line 34 of file NETileKernel.h.

Constructor & Destructor Documentation

NETileKernel() [1/3]

NETileKernel

(

)

Default constructor.

Definition at line 61 of file NETileKernel.cpp.

                           : _input(nullptr), _output(nullptr)
{
}

NETileKernel() [2/3]

NETileKernel ( const NETileKernel &  )

delete

Prevent instances of this class from being copied (As this class contains pointers).

NETileKernel() [3/3]

NETileKernel ( NETileKernel &&  )

default

Allow instances of this class to be moved.

~NETileKernel()

~NETileKernel ( )

default

Default destructor.

Member Function Documentation

configure()

void configure	(	const ITensor *	input,
		ITensor *	output,
		const Multiples &	multiples
	)

Set the source, destination of the kernel.

Parameters

[in]	input	Source tensor. Data type supported: All.
[out]	output	Destination tensor. Same as input
[in]	multiples	Contains the number of times the input tensor should be replicated on the given dimension.

Definition at line 65 of file NETileKernel.cpp.

{
    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
    // Auto initialize output
    TensorShape tiled_shape = misc::shape_calculator::compute_tiled_shape(input->info()->tensor_shape(), multiples);
    auto_init_if_empty(*output->info(), tiled_shape, 1, input->info()->data_type());
 
    // Validate
    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), multiples));
 
    _input  = input;
    _output = output;
 
    // Configure window without padding
    Window win = calculate_max_window(*output->info());
    INEKernel::configure(win);
}

References ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), arm_compute::calculate_max_window(), arm_compute::misc::shape_calculator::compute_tiled_shape(), ITensor::info(), arm_compute::test::validation::input, and arm_compute::cpu::kernels::validate_arguments().

name()

const char* name ( ) const

inlineoverridevirtual

Name of the kernel.

Returns

Kernel name

Implements ICPPKernel.

Definition at line 49 of file NETileKernel.h.

    {
        return "NETileKernel";
    }

operator=() [1/2]

NETileKernel& operator= ( const NETileKernel &  )

delete

Prevent instances of this class from being copied (As this class contains pointers).

operator=() [2/2]

NETileKernel& operator= ( NETileKernel &&  )

default

Allow instances of this class to be moved.

run()

void run ( const Window &  window, const ThreadInfo &  info  )

overridevirtual

Execute the kernel on the passed window.

Warning

If is_parallelisable() returns false then the passed window must be equal to window()

Note

The window has to be a region within the window returned by the window() method

The width of the window has to be a multiple of num_elems_processed_per_iteration().

Parameters

[in]	window	Region on which to execute the kernel. (Must be a region of the window returned by window())
[in]	info	Info about executing thread and CPU.

Reimplemented from ICPPKernel.

Definition at line 90 of file NETileKernel.cpp.

{
    ARM_COMPUTE_UNUSED(info);
    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
 
    Window output_window{window};
    output_window.set(Window::DimX, Window::Dimension(output_window.x().start(), output_window.x().end(),
                                                      _input->info()->dimension(0)));
    Window out_slice = output_window.first_slice_window_1D();
 
    const auto src_shape = _input->info()->tensor_shape();
    do
    {
        Iterator output_it(_output, out_slice);
 
        execute_window_loop(
            out_slice,
            [&](const Coordinates &id)
            {
                const size_t x = id.x();
                const size_t y = id.y();
                const size_t z = id.z();
                const size_t w = id[3];
                Coordinates  input_coords{x % src_shape[0], y % src_shape[1], z % src_shape[2], w % src_shape[3]};
                memcpy(output_it.ptr(), _input->ptr_to_element(input_coords),
                       _input->info()->dimension(0) * _input->info()->element_size());
            },
            output_it);
    } while (output_window.slide_window_slice_1D(out_slice));
}

References ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, ARM_COMPUTE_UNUSED, ITensorInfo::dimension(), Window::DimX, ITensorInfo::element_size(), arm_compute::execute_window_loop(), Window::first_slice_window_1D(), ITensor::info(), arm_compute::test::validation::info, Iterator::ptr(), ITensor::ptr_to_element(), Window::set(), ITensorInfo::tensor_shape(), arm_compute::test::validation::w, IKernel::window(), and Window::x().

validate()

Status validate ( const ITensorInfo *  input, const ITensorInfo *  output, const Multiples &  multiples  )

static

Static function to check if given info will lead to a valid configuration of NETileKernel.

Parameters

[in]	input	Source tensor info. Data type supported: All.
[in]	output	Destination tensor info. Same as input
[in]	multiples	Contains the number of times the input tensor should be replicated on the given dimension.

Returns

a status

Definition at line 84 of file NETileKernel.cpp.

{
    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, multiples));
    return Status{};
}

References ARM_COMPUTE_RETURN_ON_ERROR, arm_compute::test::validation::input, and arm_compute::cpu::kernels::validate_arguments().

Referenced by NETile::validate().

---

The documentation for this class was generated from the following files:

• src/core/NEON/kernels/NETileKernel.h
• src/core/NEON/kernels/NETileKernel.cpp