Compute Library
 19.08
CLFloorKernel Class Reference

OpenCL kernel to perform a floor operation. More...

#include <CLFloorKernel.h>

Collaboration diagram for CLFloorKernel:
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Public Member Functions

 CLFloorKernel ()
 Default constructor. More...
 
 CLFloorKernel (const CLFloorKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
CLFloorKerneloperator= (const CLFloorKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
 CLFloorKernel (CLFloorKernel &&)=default
 Allow instances of this class to be moved. More...
 
CLFloorKerneloperator= (CLFloorKernel &&)=default
 Allow instances of this class to be moved. More...
 
 ~CLFloorKernel ()=default
 Default destructor. More...
 
void configure (const ICLTensor *input, ICLTensor *output)
 Set the source, destination of the kernel. 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...
 
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...
 
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...
 
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<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...
 
template<unsigned int dimension_size>
void add_tensor_argument (unsigned &idx, const ICLTensor *tensor, const Window &window)
 
- 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 Windowwindow () const
 The maximum window the kernel can be executed on. More...
 

Static Public Member Functions

static Status validate (const ITensorInfo *input, const ITensorInfo *output)
 Static function to check if given info will lead to a valid configuration of CLFloorKernel. 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...
 

Detailed Description

OpenCL kernel to perform a floor operation.

Definition at line 34 of file CLFloorKernel.h.

Constructor & Destructor Documentation

◆ CLFloorKernel() [1/3]

Default constructor.

Definition at line 74 of file CLFloorKernel.cpp.

75  : _input(nullptr), _output(nullptr)
76 {
77 }

◆ CLFloorKernel() [2/3]

CLFloorKernel ( const CLFloorKernel )
delete

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

◆ CLFloorKernel() [3/3]

CLFloorKernel ( CLFloorKernel &&  )
default

Allow instances of this class to be moved.

◆ ~CLFloorKernel()

~CLFloorKernel ( )
default

Default destructor.

Member Function Documentation

◆ configure()

void configure ( const ICLTensor input,
ICLTensor output 
)

Set the source, destination of the kernel.

Parameters
[in]inputSource tensor. Data type supported: F16/F32.
[out]outputDestination tensor. Same as input

Definition at line 79 of file CLFloorKernel.cpp.

80 {
81  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
82 
83  // Auto initialize output
84  auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type());
85 
86  // Validate
87  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
88 
89  _input = input;
90  _output = output;
91 
92  const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size();
93 
94  // Create kernel
95  std::set<std::string> build_opts;
96  build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
97  build_opts.emplace(("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)));
98  _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("floor_layer", build_opts));
99 
100  // Configure kernel window
101  auto win_config = validate_and_configure_window(input->info(), output->info());
102  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
103  ICLKernel::configure_internal(win_config.second);
104 }
std::pair< Status, Window > validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const Size2D &dilation)
std::string to_string(T &&value)
Convert integer and float values to string.
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:327
bool auto_init_if_empty(ITensorInfo &info, const TensorShape &shape, int num_channels, DataType data_type, QuantizationInfo quantization_info=QuantizationInfo())
Auto initialize the tensor info (shape, number of channels and data type) if the current assignment i...
Definition: Helpers.inl:201
std::string get_cl_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL type.
Definition: CLHelpers.cpp:35
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
virtual size_t element_size() const =0
Element size in bytes calculated as data_size() * num_channels()
std::unique_ptr< Kernel > create_kernel()
Helper function to create and return a unique_ptr pointed to a CL/GLES kernel object.
Definition: Helpers.h:86
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161

References ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), arm_compute::create_kernel(), ITensorInfo::data_type(), ITensorInfo::element_size(), CLKernelLibrary::get(), arm_compute::get_cl_type_from_data_type(), ITensor::info(), ITensorInfo::tensor_shape(), arm_compute::support::cpp11::to_string(), and arm_compute::validate_and_configure_window().

◆ operator=() [1/2]

CLFloorKernel& operator= ( const CLFloorKernel )
delete

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

◆ operator=() [2/2]

CLFloorKernel& operator= ( CLFloorKernel &&  )
default

Allow instances of this class to be moved.

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

Implements ICLKernel.

Definition at line 114 of file CLFloorKernel.cpp.

115 {
118 
120  Window slice = collapsed.first_slice_window_3D();
121 
122  do
123  {
124  unsigned int idx = 0;
125  add_3D_tensor_argument(idx, _input, slice);
126  add_3D_tensor_argument(idx, _output, slice);
127  enqueue(queue, *this, slice);
128  }
129  while(collapsed.slide_window_slice_3D(slice));
130 }
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
void enqueue(cl::CommandQueue &queue, ICLKernel &kernel, const Window &window, const cl::NDRange &lws_hint=CLKernelLibrary::get().default_ndrange(), bool use_dummy_work_items=false)
Add the kernel to the command queue with the given window.
Definition: ICLKernel.cpp:39
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.
Definition: ICLKernel.h:158
Window collapse_if_possible(const Window &full_window, size_t first, size_t last, bool *has_collapsed=nullptr) const
Collapse the dimensions between first and last if possible.
Definition: Window.inl:54
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:205
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:940
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)

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(), arm_compute::test::validation::reference::slice(), Window::slide_window_slice_3D(), and IKernel::window().

◆ validate()

Status validate ( const ITensorInfo input,
const ITensorInfo output 
)
static

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

Parameters
[in]inputSource tensor info. Data type supported: F16/F32.
[in]outputDestination tensor info. Same as input
Returns
a status

Definition at line 106 of file CLFloorKernel.cpp.

107 {
108  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
109  ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
110 
111  return Status{};
112 }
std::pair< Status, Window > validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const Size2D &dilation)
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:193

References ARM_COMPUTE_RETURN_ON_ERROR, ICloneable< T >::clone(), and arm_compute::validate_and_configure_window().

Referenced by CLFloor::validate().


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