CLL2NormalizeLayerKernel Class Reference

Interface for performing a L2 normalize on a given axis given the square sum of it in this axis. More...

#include <CLL2NormalizeLayerKernel.h>

Collaboration diagram for CLL2NormalizeLayerKernel:

Public Member Functions
	CLL2NormalizeLayerKernel ()
	Default constructor. More...
	CLL2NormalizeLayerKernel (const CLL2NormalizeLayerKernel &)=delete
	Prevent instances of this class from being copied (As this class contains pointers) More...
CLL2NormalizeLayerKernel &	operator= (const CLL2NormalizeLayerKernel &)=delete
	Prevent instances of this class from being copied (As this class contains pointers) More...
	CLL2NormalizeLayerKernel (CLL2NormalizeLayerKernel &&)=default
	Allow instances of this class to be moved. More...
CLL2NormalizeLayerKernel &	operator= (CLL2NormalizeLayerKernel &&)=default
	Allow instances of this class to be moved. More...
	~CLL2NormalizeLayerKernel ()=default
	Default destructor. More...
void	configure (const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, int axis, float epsilon)
	Set the input and output tensors. More...
void	configure (const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, int axis, float epsilon)
	Set the input and output tensors. More...
void	run (const Window &window, cl::CommandQueue &queue) override
	Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. More...
Public Member Functions inherited from ICLKernel
	ICLKernel ()
	Constructor. More...
cl::Kernel &	kernel ()
	Returns a reference to the OpenCL kernel of this object. More...
CLKernelType	type () const
	Returns the CL kernel type. More...
template<typename T >
void	add_1D_array_argument (unsigned int &idx, const ICLArray< T > *array, const Strides &strides, unsigned int num_dimensions, const Window &window)
	Add the passed 1D array's parameters to the object's kernel's arguments starting from the index idx. More...
void	add_1D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
	Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
void	add_1D_tensor_argument_if (bool cond, unsigned int &idx, const ICLTensor *tensor, const Window &window)
	Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx if the condition is true. More...
void	add_2D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
	Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
void	add_2D_tensor_argument_if (bool cond, unsigned int &idx, const ICLTensor *tensor, const Window &window)
	Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx if the condition is true. More...
void	add_3D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
	Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
void	add_4D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
	Add the passed 4D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
void	add_5D_tensor_argument (unsigned int &idx, const ICLTensor *tensor, const Window &window)
	Add the passed 5D tensor's parameters to the object's kernel's arguments starting from the index idx. More...
void	add_3d_tensor_nhw_argument (unsigned int &idx, const ICLTensor *tensor)
	Add the passed NHW 3D tensor's parameters to the object's kernel's arguments by passing strides, dimensions and the offset to the first valid element in bytes. More...
void	add_4d_tensor_nhwc_argument (unsigned int &idx, const ICLTensor *tensor)
	Add the passed NHWC 4D tensor's parameters to the object's kernel's arguments by passing strides, dimensions and the offset to the first valid element in bytes. More...
virtual void	run_op (ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
	Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. More...
template<typename T >
void	add_argument (unsigned int &idx, T value)
	Add the passed parameters to the object's kernel's arguments starting from the index idx. More...
void	set_lws_hint (const cl::NDRange &lws_hint)
	Set the Local-Workgroup-Size hint. More...
cl::NDRange	lws_hint () const
	Return the Local-Workgroup-Size hint. More...
void	set_wbsm_hint (const cl_int &wbsm_hint)
	Set the workgroup batch size modifier hint. More...
cl_int	wbsm_hint () const
	Return the workgroup batch size modifier hint. More...
const std::string &	config_id () const
	Get the configuration ID. More...
void	set_target (GPUTarget target)
	Set the targeted GPU architecture. More...
void	set_target (cl::Device &device)
	Set the targeted GPU architecture according to the CL device. More...
GPUTarget	get_target () const
	Get the targeted GPU architecture. More...
size_t	get_max_workgroup_size ()
	Get the maximum workgroup size for the device the CLKernelLibrary uses. More...
cl::NDRange	get_cached_gws () const
	Get the cached gws used to enqueue this kernel. More...
void	cache_gws (const cl::NDRange &gws)
	Cache the latest gws used to enqueue this kernel. More...
template<unsigned int dimension_size>
void	add_tensor_argument (unsigned &idx, const ICLTensor *tensor, const Window &window)
template<typename T , unsigned int dimension_size>
void	add_array_argument (unsigned &idx, const ICLArray< T > *array, const Strides &strides, unsigned int num_dimensions, const Window &window)
	Add the passed array's parameters to the object's kernel's arguments starting from the index idx. 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 *sum, const ITensorInfo *output, int axis, float epsilon)
	Static function to check if given info will lead to a valid configuration of CLL2NormalizeLayerKernel. More...
Static Public Member Functions inherited from ICLKernel
constexpr static unsigned int	num_arguments_per_3d_tensor_nhw ()
	Returns the number of arguments enqueued per NHW 3D Tensor object. More...
constexpr static unsigned int	num_arguments_per_4d_tensor_nhwc ()
	Returns the number of arguments enqueued per NHWC 4D Tensor object. More...
constexpr static unsigned int	num_arguments_per_1D_array ()
	Returns the number of arguments enqueued per 1D array object. More...
constexpr static unsigned int	num_arguments_per_1D_tensor ()
	Returns the number of arguments enqueued per 1D tensor object. More...
constexpr static unsigned int	num_arguments_per_2D_tensor ()
	Returns the number of arguments enqueued per 2D tensor object. More...
constexpr static unsigned int	num_arguments_per_3D_tensor ()
	Returns the number of arguments enqueued per 3D tensor object. More...
constexpr static unsigned int	num_arguments_per_4D_tensor ()
	Returns the number of arguments enqueued per 4D tensor object. More...
static cl::NDRange	gws_from_window (const Window &window, bool use_dummy_work_items)
	Get the global work size given an execution window. More...

Detailed Description

Interface for performing a L2 normalize on a given axis given the square sum of it in this axis.

Definition at line 36 of file CLL2NormalizeLayerKernel.h.

Constructor & Destructor Documentation

CLL2NormalizeLayerKernel() [1/3]

CLL2NormalizeLayerKernel

(

)

Default constructor.

Definition at line 77 of file CLL2NormalizeLayerKernel.cpp.

    : _input(nullptr), _sum(nullptr), _output(nullptr), _actual_axis(0), _epsilon(1e-12)
{
    _type = CLKernelType::ELEMENTWISE;
}

References arm_compute::ELEMENTWISE.

CLL2NormalizeLayerKernel() [2/3]

CLL2NormalizeLayerKernel ( const CLL2NormalizeLayerKernel &  )

delete

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

CLL2NormalizeLayerKernel() [3/3]

CLL2NormalizeLayerKernel ( CLL2NormalizeLayerKernel &&  )

default

Allow instances of this class to be moved.

~CLL2NormalizeLayerKernel()

~CLL2NormalizeLayerKernel ( )

default

Default destructor.

Member Function Documentation

configure() [1/2]

void configure	(	const CLCompileContext &	compile_context,
		const ICLTensor *	input,
		const ICLTensor *	sum,
		ICLTensor *	output,
		int	axis,
		float	epsilon
	)

Set the input and output tensors.

Parameters

[in]	compile_context	The compile context to be used.
[in]	input	Source tensor. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC.
[in]	sum	Sum values tensor. Data types supported: same as input. Sum will have the same number of dimensions as input.
[out]	output	Destination tensor. Data types and data layouts supported: Same as input. Output will have the same number of dimensions as input.
[in]	axis	Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
[in]	epsilon	Lower bound value for the normalization.

Definition at line 89 of file CLL2NormalizeLayerKernel.cpp.

{
    ARM_COMPUTE_ERROR_ON_NULLPTR(input, sum, output);
    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), sum->info(), output->info(), axis, epsilon));
    auto padding_info = get_padding_info({input, sum, output});
 
    _input       = input;
    _sum         = sum;
    _output      = output;
    _actual_axis = wrap_around(axis, max_input_tensor_dim);
    _epsilon     = epsilon;
 
    const unsigned int vec_size_x =
        adjust_vec_size(max_cl_vector_width / input->info()->element_size(), input->info()->dimension(0));
    const int vec_size_x_leftovers = input->info()->dimension(0) % vec_size_x;
 
    // Set build options
    CLBuildOptions build_opts;
    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
    build_opts.add_option("-DVEC_SIZE_X=" + support::cpp11::to_string(vec_size_x));
    build_opts.add_option("-DVEC_SIZE_LEFTOVER_X=" + support::cpp11::to_string(vec_size_x_leftovers));
 
    // Create kernel
    std::string  kernel_name;
    unsigned int idx = 0;
    switch (_actual_axis)
    {
        case 0:
            kernel_name = "l2_normalize_x";
            idx         = num_arguments_per_2D_tensor() * 3;
            break;
        case 1:
            kernel_name = "l2_normalize_y";
            idx         = num_arguments_per_2D_tensor() * 3;
            break;
        case 2:
            kernel_name = "l2_normalize_z";
            idx         = num_arguments_per_3D_tensor() * 3;
            break;
        default:
            ARM_COMPUTE_ERROR("Axis not supported");
    }
    _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
 
    // Set epsilon argument
    if (input->info()->data_type() == DataType::F32)
    {
        _kernel.setArg<cl_float>(idx, _epsilon);
    }
    else
    {
        _kernel.setArg<cl_half>(idx, _epsilon);
    }
 
    // Configure kernel window
    Window win = calculate_max_window(*input->info(), Steps(vec_size_x));
 
    // Output tensor auto initialization if not yet initialized
    auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type());
 
    ICLKernel::configure_internal(win);
    ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
}

References CLBuildOptions::add_option(), arm_compute::adjust_vec_size(), ARM_COMPUTE_ERROR, ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), arm_compute::calculate_max_window(), arm_compute::create_kernel(), arm_compute::quantization::epsilon, arm_compute::F32, arm_compute::get_cl_type_from_data_type(), arm_compute::get_padding_info(), arm_compute::has_padding_changed(), ITensor::info(), arm_compute::test::validation::input, kernel_name, ICLKernel::num_arguments_per_2D_tensor(), ICLKernel::num_arguments_per_3D_tensor(), CLBuildOptions::options(), arm_compute::support::cpp11::to_string(), arm_compute::cpu::kernels::validate_arguments(), and arm_compute::wrap_around().

configure() [2/2]

void configure	(	const ICLTensor *	input,
		const ICLTensor *	sum,
		ICLTensor *	output,
		int	axis,
		float	epsilon
	)

Set the input and output tensors.

Parameters

[in]	input	Source tensor. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC.
[in]	sum	Sum values tensor. Data types supported: same as input. Sum will have the same number of dimensions as input.
[out]	output	Destination tensor. Data types and data layouts supported: Same as input. Output will have the same number of dimensions as input.
[in]	axis	Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
[in]	epsilon	Lower bound value for the normalization.

Definition at line 83 of file CLL2NormalizeLayerKernel.cpp.

{
    configure(CLKernelLibrary::get().get_compile_context(), input, sum, output, axis, epsilon);
}

References arm_compute::quantization::epsilon, CLKernelLibrary::get(), and arm_compute::test::validation::input.

operator=() [1/2]

CLL2NormalizeLayerKernel& operator= ( CLL2NormalizeLayerKernel &&  )

default

Allow instances of this class to be moved.

operator=() [2/2]

CLL2NormalizeLayerKernel& operator= ( const CLL2NormalizeLayerKernel &  )

delete

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

run()

void run ( const Window &  window, cl::CommandQueue &  queue  )

overridevirtual

Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.

Note

The queue is not flushed by this method, and therefore the kernel will not have been executed by the time this method returns.

Parameters

[in]	window	Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
[in,out]	queue	Command queue on which to enqueue the kernel.

Reimplemented from ICLKernel.

Definition at line 165 of file CLL2NormalizeLayerKernel.cpp.

{
    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
 
    Window window_sum(window);
 
    switch (_actual_axis)
    {
        case 0:
        {
            window_sum.set(Window::DimX, Window::Dimension(0, 0, 0));
            Window in_slice  = window.first_slice_window_2D();
            Window sum_slice = window_sum.first_slice_window_2D();
            do
            {
                unsigned int idx = 0;
                add_2D_tensor_argument(idx, _input, in_slice);
                add_2D_tensor_argument(idx, _sum, sum_slice);
                add_2D_tensor_argument(idx, _output, in_slice);
                enqueue(queue, *this, in_slice, lws_hint());
            } while (window.slide_window_slice_2D(in_slice) && window.slide_window_slice_2D(sum_slice));
        }
        break;
        case 1:
        {
            window_sum.set(Window::DimY, Window::Dimension(0, 0, 0));
            Window in_slice  = window.first_slice_window_2D();
            Window sum_slice = window_sum.first_slice_window_2D();
            do
            {
                unsigned int idx = 0;
                add_2D_tensor_argument(idx, _input, in_slice);
                add_2D_tensor_argument(idx, _sum, sum_slice);
                add_2D_tensor_argument(idx, _output, in_slice);
                enqueue(queue, *this, in_slice, lws_hint());
            } while (window.slide_window_slice_2D(in_slice) && window.slide_window_slice_2D(sum_slice));
        }
        break;
        case 2:
        {
            window_sum.set(Window::DimZ, Window::Dimension(0, 0, 0));
            Window in_slice  = window.first_slice_window_3D();
            Window sum_slice = window_sum.first_slice_window_3D();
            do
            {
                unsigned int idx = 0;
                add_3D_tensor_argument(idx, _input, in_slice);
                add_3D_tensor_argument(idx, _sum, sum_slice);
                add_3D_tensor_argument(idx, _output, in_slice);
                enqueue(queue, *this, in_slice, lws_hint());
            } while (window.slide_window_slice_3D(in_slice) && window.slide_window_slice_3D(sum_slice));
        }
        break;
        default:
            ARM_COMPUTE_ERROR("Not supported");
    }
}

References ICLKernel::add_2D_tensor_argument(), ICLKernel::add_3D_tensor_argument(), ARM_COMPUTE_ERROR, ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, Window::DimX, Window::DimY, Window::DimZ, arm_compute::enqueue(), Window::first_slice_window_2D(), Window::first_slice_window_3D(), ICLKernel::lws_hint(), Window::set(), Window::slide_window_slice_2D(), Window::slide_window_slice_3D(), and IKernel::window().

validate()

Status validate ( const ITensorInfo *  input, const ITensorInfo *  sum, const ITensorInfo *  output, int  axis, float  epsilon  )

static

Static function to check if given info will lead to a valid configuration of CLL2NormalizeLayerKernel.

Parameters

[in]	input	Source tensor info. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC.
[in]	sum	Sum values tensor info. Data types supported: same as input. Sum will have the same number of dimensions as input.
[in]	output	Destination tensor info. Data types and data layouts supported: Same as input. Output will have the same number of dimensions as input.
[in]	axis	Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
[in]	epsilon	Lower bound value for the normalization.

Returns

a status

Definition at line 158 of file CLL2NormalizeLayerKernel.cpp.

{
    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, sum, output, axis, epsilon));
    return Status{};
}

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

Referenced by CLL2NormalizeLayer::validate().

---

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

• src/core/CL/kernels/CLL2NormalizeLayerKernel.h
• src/core/CL/kernels/CLL2NormalizeLayerKernel.cpp