Compute Library
 21.02
CLSpaceToBatchLayerKernel Class Reference

Interface for the space to batch kernel. More...

#include <CLSpaceToBatchLayerKernel.h>

Collaboration diagram for CLSpaceToBatchLayerKernel:
[legend]

Public Member Functions

 CLSpaceToBatchLayerKernel ()
 Default constructor. More...
 
 CLSpaceToBatchLayerKernel (const CLSpaceToBatchLayerKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
CLSpaceToBatchLayerKerneloperator= (const CLSpaceToBatchLayerKernel &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
 CLSpaceToBatchLayerKernel (CLSpaceToBatchLayerKernel &&)=default
 Allow instances of this class to be moved. More...
 
CLSpaceToBatchLayerKerneloperator= (CLSpaceToBatchLayerKernel &&)=default
 Allow instances of this class to be moved. More...
 
 ~CLSpaceToBatchLayerKernel ()=default
 Default destructor. More...
 
void configure (const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
 Initialise the kernel's inputs and output. More...
 
void configure (const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
 Initialise the kernel's inputs and output. More...
 
void configure (const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output)
 Initialise the kernel's input and output. More...
 
void configure (const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output)
 Initialise the kernel's input and output. 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...
 
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...
 
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 *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)
 Static function to check if given info will lead to a valid configuration of CLSpaceToBatchLayerKernel. More...
 
static Status validate (const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, const ITensorInfo *output)
 Static function to check if given info will lead to a valid configuration of CLSpaceToBatchLayerKernel (Static block shape and paddings) 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

Interface for the space to batch kernel.

Definition at line 35 of file CLSpaceToBatchLayerKernel.h.

Constructor & Destructor Documentation

◆ CLSpaceToBatchLayerKernel() [1/3]

Default constructor.

Definition at line 84 of file CLSpaceToBatchLayerKernel.cpp.

85  : _input(nullptr), _block_shape(nullptr), _paddings(nullptr), _output(nullptr)
86 {
87 }

◆ CLSpaceToBatchLayerKernel() [2/3]

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

◆ CLSpaceToBatchLayerKernel() [3/3]

Allow instances of this class to be moved.

◆ ~CLSpaceToBatchLayerKernel()

Default destructor.

Member Function Documentation

◆ configure() [1/4]

void configure ( const ICLTensor input,
const ICLTensor block_shape,
const ICLTensor paddings,
ICLTensor output 
)

Initialise the kernel's inputs and output.

Parameters
[in]inputTensor input. Supported tensor rank: 4. Data types supported: All.
[in]block_shape1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
[in]paddings2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
[out]outputTensor output. Data types supported: same as input

Definition at line 89 of file CLSpaceToBatchLayerKernel.cpp.

References CLKernelLibrary::get().

Referenced by CLSpaceToBatchLayerKernel::configure().

90 {
91  configure(CLKernelLibrary::get().get_compile_context(), input, block_shape, paddings, output);
92 }
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
void configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
Initialise the kernel&#39;s inputs and output.

◆ configure() [2/4]

void configure ( const CLCompileContext compile_context,
const ICLTensor input,
const ICLTensor block_shape,
const ICLTensor paddings,
ICLTensor output 
)

Initialise the kernel's inputs and output.

Parameters
[in]compile_contextThe compile context to be used.
[in]inputTensor input. Supported tensor rank: 4. Data types supported: All.
[in]block_shape1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
[in]paddings2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
[out]outputTensor output. Data types supported: same as input

Definition at line 94 of file CLSpaceToBatchLayerKernel.cpp.

References CLBuildOptions::add_option(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::BATCHES, arm_compute::calculate_max_window(), arm_compute::create_kernel(), ITensorInfo::data_layout(), arm_compute::data_size_from_type(), ITensorInfo::data_type(), ITensorInfo::dimension(), arm_compute::get_cl_unsigned_type_from_element_size(), arm_compute::get_data_layout_dimension_index(), arm_compute::get_padding_info(), arm_compute::has_padding_changed(), arm_compute::HEIGHT, arm_compute::test::validation::idx_height, arm_compute::test::validation::idx_width, ITensor::info(), arm_compute::test::validation::input, arm_compute::lower_string(), CLBuildOptions::options(), arm_compute::string_from_data_layout(), arm_compute::support::cpp11::to_string(), arm_compute::validate_arguments(), and arm_compute::WIDTH.

95 {
96  ARM_COMPUTE_ERROR_ON_NULLPTR(input, block_shape, paddings, output);
97  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), block_shape->info(), paddings->info(), output->info()));
98  auto padding_info = get_padding_info({ input, block_shape, paddings, output });
99 
100  _input = input;
101  _block_shape = block_shape;
102  _paddings = paddings;
103  _output = output;
104 
105  const DataLayout data_layout = input->info()->data_layout();
108  const int idx_batch = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES);
109 
110  // Create kernel
111  CLBuildOptions build_opts;
112  build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
113  build_opts.add_option("-DWIDTH_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_width)));
114  build_opts.add_option("-DHEIGHT_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_height)));
115  build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(idx_batch)));
116  build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_width)));
117  build_opts.add_option("-DHEIGHT_IN=" + support::cpp11::to_string(input->info()->dimension(idx_height)));
118  build_opts.add_option("-DBATCH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_batch)));
119  _kernel = create_kernel(compile_context, "space_to_batch_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options());
120 
121  // Configure kernel window
122  Window win = calculate_max_window(*output->info(), Steps());
123  ICLKernel::configure_internal(win);
125 }
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps, bool skip_border, BorderSize border_size)
std::string to_string(T &&value)
Convert integer and float values to string.
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
const DataLayout data_layout
Definition: Im2Col.cpp:151
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:455
std::string lower_string(const std::string &val)
Lower a given string.
Definition: Utils.cpp:350
cl::Kernel create_kernel(const CLCompileContext &ctx, const std::string &kernel_name, const std::set< std::string > &build_opts=std::set< std::string >())
Creates an opencl kernel using a compile context.
Definition: CLHelpers.cpp:403
size_t data_size_from_type(DataType data_type)
The size in bytes of the data type.
Definition: Utils.h:106
bool has_padding_changed(const std::unordered_map< const ITensorInfo *, PaddingSize > &padding_map)
Check if the previously stored padding info has changed after configuring a kernel.
Definition: Utils.cpp:528
const std::string & string_from_data_layout(DataLayout dl)
Convert a data layout identity into a string.
Definition: Utils.cpp:123
std::string get_cl_unsigned_type_from_element_size(size_t element_size)
Translates the element size to an unsigned integer data type.
Definition: CLHelpers.cpp:103
std::unordered_map< const ITensorInfo *, PaddingSize > get_padding_info(std::initializer_list< const ITensorInfo *> infos)
Stores padding information before configuring a kernel.
Definition: Utils.cpp:513
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const GEMMLowpOutputStageInfo *output_stage)
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)
Get the index of the given dimension.
Definition: Helpers.inl:193
DataLayout
[DataLayout enum definition]
Definition: Types.h:120

◆ configure() [3/4]

void configure ( const ICLTensor input,
const int  block_shape_x,
const int  block_shape_y,
const Size2D padding_left,
const Size2D padding_right,
ICLTensor output 
)

Initialise the kernel's input and output.

(Static block shape and paddings)

Parameters
[in]inputTensor input. Supported tensor rank: 4. Data types supported: All.
[in]block_shape_xBlock shape x value.
[in]block_shape_yBlock shape y value.
[in]padding_leftThe padding at the beginning of every dimension of the output tensor.
[in]padding_rightThe padding at the end of every dimension of the output tensor.
[out]outputTensor output. Data types supported: same as input

Definition at line 127 of file CLSpaceToBatchLayerKernel.cpp.

References CLSpaceToBatchLayerKernel::configure(), and CLKernelLibrary::get().

129 {
130  configure(CLKernelLibrary::get().get_compile_context(), input, block_shape_x, block_shape_y, padding_left, padding_right, output);
131 }
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
void configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
Initialise the kernel&#39;s inputs and output.

◆ configure() [4/4]

void configure ( const CLCompileContext compile_context,
const ICLTensor input,
const int  block_shape_x,
const int  block_shape_y,
const Size2D padding_left,
const Size2D padding_right,
ICLTensor output 
)

Initialise the kernel's input and output.

(Static block shape and paddings)

Parameters
[in]compile_contextThe compile context to be used.
[in]inputTensor input. Supported tensor rank: 4. Data types supported: All.
[in]block_shape_xBlock shape x value.
[in]block_shape_yBlock shape y value.
[in]padding_leftThe padding at the beginning of every dimension of the output tensor.
[in]padding_rightThe padding at the end of every dimension of the output tensor.
[out]outputTensor output. Data types supported: same as input

Definition at line 133 of file CLSpaceToBatchLayerKernel.cpp.

References CLBuildOptions::add_option(), ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::auto_init_if_empty(), arm_compute::BATCHES, arm_compute::calculate_max_window(), arm_compute::misc::shape_calculator::compute_space_to_batch_shape(), arm_compute::create_kernel(), ITensorInfo::data_layout(), arm_compute::data_size_from_type(), ITensorInfo::data_type(), ITensorInfo::dimension(), arm_compute::get_cl_unsigned_type_from_element_size(), arm_compute::get_data_layout_dimension_index(), arm_compute::HEIGHT, arm_compute::test::validation::idx_height, arm_compute::test::validation::idx_width, ITensor::info(), arm_compute::test::validation::input, arm_compute::lower_string(), CLBuildOptions::options(), arm_compute::test::validation::output_shape, ITensorInfo::quantization_info(), arm_compute::string_from_data_layout(), arm_compute::support::cpp11::to_string(), and arm_compute::WIDTH.

136 {
138 
139  TensorShape output_shape = misc::shape_calculator::compute_space_to_batch_shape(input->info(), block_shape_x, block_shape_y, padding_left, padding_right);
140  auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->quantization_info());
141 
142  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_static(input->info(), block_shape_x, block_shape_y, padding_left, padding_right, output->info()));
143 
144  _input = input;
145  _output = output;
146 
147  const DataLayout data_layout = input->info()->data_layout();
150  const int idx_batch = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES);
151 
152  // Create kernel
153  CLBuildOptions build_opts;
154  build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
155  build_opts.add_option("-DWIDTH_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_width)));
156  build_opts.add_option("-DHEIGHT_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_height)));
157  build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(idx_batch)));
158  build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_width)));
159  build_opts.add_option("-DHEIGHT_IN=" + support::cpp11::to_string(input->info()->dimension(idx_height)));
160  build_opts.add_option("-DBATCH_IN=" + support::cpp11::to_string(input->info()->dimension(idx_batch)));
161  build_opts.add_option("-DBLOCK_SHAPE_X=" + support::cpp11::to_string(block_shape_x));
162  build_opts.add_option("-DBLOCK_SHAPE_Y=" + support::cpp11::to_string(block_shape_y));
163  build_opts.add_option("-DPAD_LEFT_X=" + support::cpp11::to_string(padding_left.x()));
164  build_opts.add_option("-DPAD_RIGHT_X=" + support::cpp11::to_string(padding_right.x()));
165  build_opts.add_option("-DPAD_LEFT_Y=" + support::cpp11::to_string(padding_left.y()));
166  build_opts.add_option("-DPAD_RIGHT_Y=" + support::cpp11::to_string(padding_right.y()));
167  _kernel = create_kernel(compile_context, "space_to_batch_static_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options());
168 
169  // Configure kernel window
170  Window win = calculate_max_window(*output->info(), Steps());
171  ICLKernel::configure_internal(win);
172 }
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps, bool skip_border, BorderSize border_size)
std::string to_string(T &&value)
Convert integer and float values to string.
TensorShape compute_space_to_batch_shape(const ITensorInfo *input, const int block_x, const int block_y, const Size2D &padding_left, const Size2D &padding_right)
Calculate the space to batch output shape of a tensor.
const DataLayout data_layout
Definition: Im2Col.cpp:151
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:455
std::string lower_string(const std::string &val)
Lower a given string.
Definition: Utils.cpp:350
cl::Kernel create_kernel(const CLCompileContext &ctx, const std::string &kernel_name, const std::set< std::string > &build_opts=std::set< std::string >())
Creates an opencl kernel using a compile context.
Definition: CLHelpers.cpp:403
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...
size_t data_size_from_type(DataType data_type)
The size in bytes of the data type.
Definition: Utils.h:106
const std::string & string_from_data_layout(DataLayout dl)
Convert a data layout identity into a string.
Definition: Utils.cpp:123
std::string get_cl_unsigned_type_from_element_size(size_t element_size)
Translates the element size to an unsigned integer data type.
Definition: CLHelpers.cpp:103
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)
Get the index of the given dimension.
Definition: Helpers.inl:193
DataLayout
[DataLayout enum definition]
Definition: Types.h:120

◆ operator=() [1/2]

CLSpaceToBatchLayerKernel& operator= ( const CLSpaceToBatchLayerKernel )
delete

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

◆ operator=() [2/2]

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.

Reimplemented from ICLKernel.

Definition at line 186 of file CLSpaceToBatchLayerKernel.cpp.

References ICLKernel::add_1D_tensor_argument_if(), ICLKernel::add_2D_tensor_argument_if(), ICLKernel::add_3D_tensor_argument(), ICLKernel::add_4D_tensor_argument(), ICLKernel::add_argument(), 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_1D(), Window::first_slice_window_2D(), Window::first_slice_window_3D(), Window::first_slice_window_4D(), ICLKernel::lws_hint(), Window::set(), Window::slide_window_slice_3D(), and IKernel::window().

187 {
190 
191  Window slice_out = window.first_slice_window_3D();
192 
193  Window slice_in = window.first_slice_window_4D();
194  slice_in.set(Window::DimX, Window::Dimension(0, 0, 0));
195  slice_in.set(Window::DimY, Window::Dimension(0, 0, 0));
196  slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0));
197  slice_in.set(3, Window::Dimension(0, 0, 0));
198 
199  Window vector_slice = window.first_slice_window_1D();
200  vector_slice.set(Window::DimX, Window::Dimension(0, 0, 0));
201 
202  Window padding_slice = window.first_slice_window_2D();
203  padding_slice.set(Window::DimX, Window::Dimension(0, 0, 0));
204  padding_slice.set(Window::DimY, Window::Dimension(0, 0, 0));
205 
206  int batch_id = 0;
207  do
208  {
209  unsigned int idx = 0;
210  const bool cond = (_paddings != nullptr && _block_shape != nullptr);
211  add_4D_tensor_argument(idx, _input, slice_in);
212  add_2D_tensor_argument_if(cond, idx, _paddings, padding_slice);
213  add_1D_tensor_argument_if(cond, idx, _block_shape, vector_slice);
214 
215  add_argument(idx, batch_id);
216  add_3D_tensor_argument(idx, _output, slice_out);
217  enqueue(queue, *this, slice_out, lws_hint());
218  ++batch_id;
219  }
220  while(window.slide_window_slice_3D(slice_out));
221 }
Window first_slice_window_2D() const
First 2D slice of the window.
Definition: Window.h:283
void add_1D_tensor_argument_if(bool cond, unsigned int &idx, const ICLTensor *tensor, const Window &window)
Add the passed 1D tensor&#39;s parameters to the object&#39;s kernel&#39;s arguments starting from the index idx ...
Definition: ICLKernel.h:135
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
void add_2D_tensor_argument_if(bool cond, unsigned int &idx, const ICLTensor *tensor, const Window &window)
Add the passed 2D tensor&#39;s parameters to the object&#39;s kernel&#39;s arguments starting from the index idx ...
Definition: ICLKernel.h:159
void enqueue(IGCKernel &kernel, const Window &window, const gles::NDRange &lws=gles::NDRange(1U, 1U, 1U))
Add the kernel to the command queue with the given window.
Definition: IGCKernel.cpp:41
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
Definition: ICLKernel.h:276
void add_argument(unsigned int &idx, T value)
Add the passed parameters to the object&#39;s kernel&#39;s arguments starting from the index idx...
Definition: ICLKernel.h:255
void add_3D_tensor_argument(unsigned int &idx, const ICLTensor *tensor, const Window &window)
Add the passed 3D tensor&#39;s parameters to the object&#39;s kernel&#39;s arguments starting from the index idx...
Definition: ICLKernel.h:172
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
Definition: Window.h:43
void set(size_t dimension, const Dimension &dim)
Set the values of a given dimension.
Definition: Window.inl:49
bool slide_window_slice_3D(Window &slice) const
Slide the passed 3D window slice.
Definition: Window.h:335
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:941
static constexpr size_t DimY
Alias for dimension 1 also known as Y dimension.
Definition: Window.h:45
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
Window first_slice_window_4D() const
First 4D slice of the window.
Definition: Window.h:299
Window first_slice_window_3D() const
First 3D slice of the window.
Definition: Window.h:291
void add_4D_tensor_argument(unsigned int &idx, const ICLTensor *tensor, const Window &window)
Add the passed 4D tensor&#39;s parameters to the object&#39;s kernel&#39;s arguments starting from the index idx...
Definition: ICLKernel.h:182
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:205
Window first_slice_window_1D() const
First 1D slice of the window.
Definition: Window.h:275

◆ validate() [1/2]

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

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

Parameters
[in]inputTensor input. Supported tensor rank: 4. Data types supported: All.
[in]block_shape1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
[in]paddings2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
[in]outputTensor output. Data types supported: same as input
Returns
a status

Definition at line 174 of file CLSpaceToBatchLayerKernel.cpp.

References ARM_COMPUTE_RETURN_ON_ERROR, and arm_compute::validate_arguments().

Referenced by CLSpaceToBatchLayer::validate().

175 {
176  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, block_shape, paddings, output));
177  return Status{};
178 }
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const GEMMLowpOutputStageInfo *output_stage)

◆ validate() [2/2]

Status validate ( const ITensorInfo input,
const int  block_shape_x,
const int  block_shape_y,
const Size2D padding_left,
const Size2D padding_right,
const ITensorInfo output 
)
static

Static function to check if given info will lead to a valid configuration of CLSpaceToBatchLayerKernel (Static block shape and paddings)

Parameters
[in]inputTensor input. Supported tensor rank: 4. Data types supported: All.
[in]block_shape_xBlock shape x value.
[in]block_shape_yBlock shape y value.
[in]padding_leftThe padding at the beginning of every dimension of the output tensor.
[in]padding_rightThe padding at the end of every dimension of the output tensor.
[in]outputTensor output. Data types supported: same as input
Returns
a status

Definition at line 179 of file CLSpaceToBatchLayerKernel.cpp.

References ARM_COMPUTE_RETURN_ON_ERROR.

181 {
182  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_static(input, block_shape_x, block_shape_y, padding_left, padding_right, output));
183  return Status{};
184 }
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204

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