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Interface for the normalization layer kernel. More...
#include <CLNormalizationLayerKernel.h>
Public Member Functions | |
CLNormalizationLayerKernel () | |
Constructor. More... | |
CLNormalizationLayerKernel (const CLNormalizationLayerKernel &)=delete | |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
CLNormalizationLayerKernel & | operator= (const CLNormalizationLayerKernel &)=delete |
Prevent instances of this class from being copied (As this class contains pointers) More... | |
CLNormalizationLayerKernel (CLNormalizationLayerKernel &&)=default | |
Default Move Constructor. More... | |
CLNormalizationLayerKernel & | operator= (CLNormalizationLayerKernel &&)=default |
Default move assignment operator. More... | |
void | configure (const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info) |
Set the input and output tensors. More... | |
void | configure (const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info) |
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... | |
BorderSize | border_size () const override |
The size of the border for that kernel. More... | |
Public Member Functions inherited from ICLKernel | |
ICLKernel () | |
Constructor. More... | |
cl::Kernel & | kernel () |
Returns a reference to the OpenCL kernel of this object. 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... | |
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... | |
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... | |
const Window & | window () const |
The maximum window the kernel can be executed on. More... | |
Static Public Member Functions | |
static Status | validate (const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info) |
Static function to check if given info will lead to a valid configuration of CLNormalizationLayerKernel. More... | |
Static Public Member Functions inherited from ICLKernel | |
static constexpr unsigned int | num_arguments_per_1D_array () |
Returns the number of arguments enqueued per 1D array object. More... | |
static constexpr unsigned int | num_arguments_per_1D_tensor () |
Returns the number of arguments enqueued per 1D tensor object. More... | |
static constexpr unsigned int | num_arguments_per_2D_tensor () |
Returns the number of arguments enqueued per 2D tensor object. More... | |
static constexpr unsigned int | num_arguments_per_3D_tensor () |
Returns the number of arguments enqueued per 3D tensor object. More... | |
static constexpr 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) |
Get the global work size given an execution window. More... | |
Interface for the normalization layer kernel.
Definition at line 35 of file CLNormalizationLayerKernel.h.
Constructor.
Definition at line 101 of file CLNormalizationLayerKernel.cpp.
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delete |
Prevent instances of this class from being copied (As this class contains pointers)
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default |
Default Move Constructor.
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overridevirtual |
The size of the border for that kernel.
Reimplemented from IKernel.
Definition at line 106 of file CLNormalizationLayerKernel.cpp.
void configure | ( | const ICLTensor * | input, |
ICLTensor * | output, | ||
NormalizationLayerInfo | norm_info | ||
) |
Set the input and output tensors.
[in] | input | Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. |
[out] | output | Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as input . Data layouts supported: same as input . |
[in] | norm_info | Normalization layer information like the normalization type, normalization size and other parameters. |
Definition at line 111 of file CLNormalizationLayerKernel.cpp.
References CLKernelLibrary::get().
void configure | ( | const CLCompileContext & | compile_context, |
const ICLTensor * | input, | ||
ICLTensor * | output, | ||
NormalizationLayerInfo | norm_info | ||
) |
Set the input and output tensors.
[in] | compile_context | The compile context to be used. |
[in] | input | Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. |
[out] | output | Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as input . Data layouts supported: same as input . |
[in] | norm_info | Normalization layer information like the normalization type, normalization size and other parameters. |
Definition at line 116 of file CLNormalizationLayerKernel.cpp.
References CLBuildOptions::add_option(), CLBuildOptions::add_option_if(), ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), NormalizationLayerInfo::beta(), ICloneable< T >::clone(), arm_compute::create_kernel(), arm_compute::test::validation::data_layout, ITensorInfo::data_layout(), ITensorInfo::data_type(), ITensorInfo::dimension(), arm_compute::float_to_string_with_full_precision(), arm_compute::get_cl_type_from_data_type(), arm_compute::get_normalization_dimension_index(), arm_compute::IN_MAP_2D, ITensor::info(), arm_compute::test::validation::input, NormalizationLayerInfo::is_cross_map(), NormalizationLayerInfo::is_in_map(), NormalizationLayerInfo::kappa(), kernel_name, arm_compute::lower_string(), arm_compute::NCHW, arm_compute::NHWC, NormalizationLayerInfo::norm_size(), CLBuildOptions::options(), NormalizationLayerInfo::scale_coeff(), arm_compute::string_from_data_layout(), arm_compute::string_from_data_type(), arm_compute::support::cpp11::to_string(), type, NormalizationLayerInfo::type(), and arm_compute::validate_arguments().
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delete |
Prevent instances of this class from being copied (As this class contains pointers)
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default |
Default move assignment operator.
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overridevirtual |
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.
[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 195 of file CLNormalizationLayerKernel.cpp.
References ICLKernel::add_3D_tensor_argument(), ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, Window::collapse_if_possible(), Window::DimZ, arm_compute::enqueue(), Window::first_slice_window_3D(), ICLKernel::lws_hint(), arm_compute::test::validation::reference::slice(), Window::slide_window_slice_3D(), and IKernel::window().
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static |
Static function to check if given info will lead to a valid configuration of CLNormalizationLayerKernel.
[in] | input | Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. |
[in] | output | Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as input . Data layouts supported: same as input . |
[in] | norm_info | Normalization layer information like the normalization type, normalization size and other parameters. |
Definition at line 187 of file CLNormalizationLayerKernel.cpp.
References ARM_COMPUTE_RETURN_ON_ERROR, ICloneable< T >::clone(), and arm_compute::validate_arguments().
Referenced by CLNormalizationLayer::validate().