CpuMaxUnpoolingLayerKernel Class Reference

Interface for the pooling layer kernel. More...

#include <CpuMaxUnpoolingLayerKernel.h>

Collaboration diagram for CpuMaxUnpoolingLayerKernel:

Data Structures
struct	MaxUnpoolingKernel

Public Member Functions
	CpuMaxUnpoolingLayerKernel ()=default
	Default constructor. More...
	ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE (CpuMaxUnpoolingLayerKernel)
void	configure (const ITensorInfo *src, const ITensorInfo *indices, ITensorInfo *dst, const PoolingLayerInfo &pool_info)
	Configure kernel for a given list of arguments. More...
void	run_op (ITensorPack &tensors, const Window &window, const ThreadInfo &info) override
	Execute the kernel on the passed window. More...
const char *	name () const override
	Name of the kernel. More...
Public Member Functions inherited from ICPPKernel
virtual	~ICPPKernel ()=default
	Default destructor. More...
virtual void	run (const Window &window, const ThreadInfo &info)
	Execute the kernel on the passed window. 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 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 *src, const ITensorInfo *indices, const ITensorInfo *dst, const PoolingLayerInfo &pool_info)
	Static function to check if given info will lead to a valid configuration of CpuMaxUnpoolingLayerKernel. More...
static const std::vector< MaxUnpoolingKernel > &	get_available_kernels ()
Static Public Member Functions inherited from ICpuKernel< CpuMaxUnpoolingLayerKernel >
static const auto *	get_implementation (const SelectorType &selector, KernelSelectionType selection_type=KernelSelectionType::Supported)
	Micro-kernel selector. More...

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

Detailed Description

Interface for the pooling layer kernel.

Definition at line 37 of file CpuMaxUnpoolingLayerKernel.h.

Constructor & Destructor Documentation

CpuMaxUnpoolingLayerKernel()

CpuMaxUnpoolingLayerKernel ( )

default

Default constructor.

Member Function Documentation

ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE()

ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE

(

CpuMaxUnpoolingLayerKernel

)

configure()

void configure	(	const ITensorInfo *	src,
		const ITensorInfo *	indices,
		ITensorInfo *	dst,
		const PoolingLayerInfo &	pool_info
	)

Configure kernel for a given list of arguments.

Note

Dst shape must be equal to the shape of the original src to pool.

Parameters

[in]	src	Source tensor to permute. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
[in]	indices	Tensor containing the offset to store the src elements in the dst tensor. CpuMaxUnpooling with indices should precede this function in order to properly reconstruct the output tensor. The tensor shape of this tensor has to be equal to the src tensor shape. Data type supported: U32.
[out]	dst	Destination tensor. Data types supported: Same as src
[in]	pool_info	Contains pooling operation information described in PoolingLayerInfo.

Definition at line 93 of file CpuMaxUnpoolingLayerKernel.cpp.

{
    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst, indices);
    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, indices, dst, pool_info));
    ARM_COMPUTE_UNUSED(indices);
 
    const auto uk = CpuMaxUnpoolingLayerKernel::get_implementation(
        DataTypeISASelectorData{src->data_type(), CPUInfo::get().get_isa()});
    ARM_COMPUTE_ERROR_ON_NULLPTR(uk);
    _run_method = uk->ukernel;
 
    const TensorShape output_shape = compute_unpool_shape(*src, pool_info);
    auto_init_if_empty(*dst, src->clone()->set_tensor_shape(output_shape));
 
    auto window = calculate_max_window(*src, Steps());
    ICpuKernel::configure(window);
}

References ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, ARM_COMPUTE_UNUSED, arm_compute::auto_init_if_empty(), arm_compute::calculate_max_window(), arm_compute::misc::shape_calculator::compute_unpool_shape(), arm_compute::test::validation::dst, CPUInfo::get(), ICpuKernel< CpuMaxUnpoolingLayerKernel >::get_implementation(), arm_compute::test::validation::output_shape, arm_compute::test::validation::src, and arm_compute::cpu::kernels::validate_arguments().

get_available_kernels()

const std::vector< CpuMaxUnpoolingLayerKernel::MaxUnpoolingKernel > & get_available_kernels ( )

static

Definition at line 142 of file CpuMaxUnpoolingLayerKernel.cpp.

{
    return available_kernels;
}

name()

const char * name ( ) const

overridevirtual

Name of the kernel.

Returns

Kernel name

Implements ICPPKernel.

Definition at line 137 of file CpuMaxUnpoolingLayerKernel.cpp.

{
    return "CpuMaxUnpoolingLayerKernel";
}

run_op()

void run_op ( ITensorPack &  tensors, 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]	tensors	A vector containing the tensors to operate on.
[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 124 of file CpuMaxUnpoolingLayerKernel.cpp.

{
    ARM_COMPUTE_UNUSED(info);
    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window);
 
    const auto src     = tensors.get_const_tensor(TensorType::ACL_SRC_0);
    const auto indices = tensors.get_const_tensor(TensorType::ACL_SRC_1);
    const auto dst     = tensors.get_tensor(TensorType::ACL_DST);
 
    _run_method(src, indices, dst, window);
}

References arm_compute::ACL_DST, arm_compute::ACL_SRC_0, arm_compute::ACL_SRC_1, ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, ARM_COMPUTE_UNUSED, arm_compute::test::validation::dst, ITensorPack::get_const_tensor(), ITensorPack::get_tensor(), arm_compute::test::validation::info, arm_compute::test::validation::src, and IKernel::window().

validate()

Status validate ( const ITensorInfo *  src, const ITensorInfo *  indices, const ITensorInfo *  dst, const PoolingLayerInfo &  pool_info  )

static

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

Parameters

[in]	src	Source tensor to permute. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
[in]	indices	Tensor info of the indices of the maximal values. Data type supported: U32.
[out]	dst	Destination tensor. Data types supported: Same as src
[in]	pool_info	Contains pooling operation information described in PoolingLayerInfo.

Returns

a status

Definition at line 114 of file CpuMaxUnpoolingLayerKernel.cpp.

{
    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, indices, dst);
    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, indices, dst, pool_info));
    return Status{};
}

References ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR, ARM_COMPUTE_RETURN_ON_ERROR, arm_compute::test::validation::dst, arm_compute::test::validation::src, and arm_compute::cpu::kernels::validate_arguments().

Referenced by CpuMaxUnpooling::validate().

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

• src/cpu/kernels/CpuMaxUnpoolingLayerKernel.h
• src/cpu/kernels/CpuMaxUnpoolingLayerKernel.cpp