Compute Library
 21.02
CLStridedSliceKernel Class Reference

Interface for the kernel to perform tensor strided slicing. More...

#include <CLStridedSliceKernel.h>

Collaboration diagram for CLStridedSliceKernel:
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Public Member Functions

void configure (const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output, const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
 Configure kernel. More...
 
void run_op (ITensorPack &tensors, 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 (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 *output, const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
 Static function to check if given info will lead to a valid configuration of CLStridedSliceKernel. 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 kernel to perform tensor strided slicing.

Definition at line 35 of file CLStridedSliceKernel.h.

Member Function Documentation

◆ configure()

void configure ( const CLCompileContext compile_context,
const ITensorInfo input,
ITensorInfo output,
const Coordinates starts,
const Coordinates ends,
const BiStrides strides,
int32_t  begin_mask,
int32_t  end_mask,
int32_t  shrink_axis_mask 
)

Configure kernel.

Note
Supported tensor rank: up to 4
Parameters
[in]compile_contextThe compile context to be used.
[in]inputSource tensor info. Data type supported: All.
[out]outputDestination tensor info. Data type supported: Same as input
[in]startsThe starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
[in]endsThe ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
[in]stridesThe strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
[in]begin_maskIf the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
[in]end_maskIf the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
[in]shrink_axis_maskIf the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1. A slice of size 1 starting from starts[i] in the dimension must be preserved.

Definition at line 90 of file CLStridedSliceKernel.cpp.

References CLBuildOptions::add_option(), CLBuildOptions::add_option_if(), CLBuildOptions::add_option_if_else(), ARM_COMPUTE_ERROR_ON, ARM_COMPUTE_ERROR_ON_NULLPTR, ARM_COMPUTE_ERROR_THROW_ON, arm_compute::helpers::tensor_transform::calculate_strided_slice_coords(), arm_compute::ceil_to_multiple(), arm_compute::create_kernel(), arm_compute::data_size_from_type(), ITensorInfo::data_type(), ITensorInfo::dimension(), Window::DimX, ITensorInfo::element_size(), Window::Dimension::end(), arm_compute::get_cl_unsigned_type_from_element_size(), arm_compute::get_padding_info(), arm_compute::has_padding_changed(), arm_compute::test::validation::input, arm_compute::test::validation::input_shape, arm_compute::helpers::bit_ops::is_bit_set(), arm_compute::lower_string(), Dimensions< T >::num_dimensions(), ITensorInfo::num_dimensions(), CLBuildOptions::options(), Window::set(), Window::Dimension::start(), arm_compute::string_from_data_type(), ITensorInfo::tensor_shape(), arm_compute::support::cpp11::to_string(), arm_compute::validate_arguments(), Dimensions< T >::x(), Window::x(), and Dimensions< T >::z().

93 {
95  auto padding_info = get_padding_info({ input, output });
96  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
97 
98  const TensorShape &input_shape = input->tensor_shape();
99 
100  Coordinates starts_abs;
101  Coordinates ends_abs;
102  Coordinates final_strides;
103  std::tie(starts_abs, ends_abs, final_strides) = arm_compute::helpers::tensor_transform::calculate_strided_slice_coords(
104  input_shape,
105  starts, ends, strides,
106  begin_mask, end_mask, shrink_axis_mask);
107 
108  // Configure kernel window
109  auto win_config = validate_and_configure_window(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
110  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
111 
112  // Enable multiple elements processing along x if stride_x is 1 and output width greater than the access vector size
113  const int vec_size_x = 16 / input->element_size();
114  const int output_width_x = output->tensor_shape().x();
115  const bool is_shrink_on_x = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 0);
116  const bool multi_access_x = !is_shrink_on_x && (final_strides.x() == 1) && (output_width_x / vec_size_x > 0);
117 
118  // Update window if needed
119  if(multi_access_x)
120  {
121  Window &updated_window = std::get<1>(win_config);
122  updated_window.set(Window::DimX,
123  Window::Dimension(updated_window.x().start(), ceil_to_multiple(updated_window.x().end(), vec_size_x), vec_size_x));
124  }
125  ICLKernel::configure_internal(win_config.second);
126 
127  // Create build options
128  CLBuildOptions build_opts;
129  build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->data_type())));
130  for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
131  {
132  const bool is_shrink = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, i);
133  build_opts.add_option("-DSTART_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(starts_abs[i]));
134  build_opts.add_option("-DSTRIDE_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(final_strides[i]));
135  build_opts.add_option_if(is_shrink, "-DSHRINK_" + support::cpp11::to_string(i));
136  }
137  build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
138  build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
139  build_opts.add_option_if_else(input_shape.num_dimensions() > 2,
140  "-DSRC_DEPTH=" + support::cpp11::to_string(input_shape.z()),
141  "-DSRC_DEPTH=1");
142  build_opts.add_option_if_else(output->num_dimensions() > 2,
143  "-DDST_DEPTH=" + support::cpp11::to_string(output->tensor_shape().z()),
144  "-DDST_DEPTH=1");
145 
146  // Create kernel
147  _kernel = create_kernel(compile_context, "strided_slice", build_opts.options());
148 
149  // Set config_id for enabling LWS tuning
150  _config_id = "strided_slice";
151  _config_id += "_";
152  _config_id += lower_string(string_from_data_type(input->data_type()));
153  for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
154  {
155  _config_id += "_";
156  _config_id += support::cpp11::to_string(input->dimension(i));
157  _config_id += "_";
158  _config_id += support::cpp11::to_string(starts_abs[i]);
159  _config_id += "_";
160  _config_id += support::cpp11::to_string(ends_abs[i]);
161  _config_id += "_";
162  _config_id += support::cpp11::to_string(final_strides[i]);
163  }
165 }
std::tuple< Coordinates, Coordinates, Coordinates > calculate_strided_slice_coords(TensorShape input_shape, Coordinates starts, Coordinates ends, Coordinates strides, int32_t begin_mask=0, int32_t end_mask=0, int32_t shrink_axis_mask=0)
Calculate start, end and stride coordinates for a strided slice.
bool is_bit_set(T v, unsigned int idx)
Checks if the idx-th bit is set in an integral type.
Definition: bit_ops.h:45
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
#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
TensorShape input_shape
Validate test suite is to test ARM_COMPUTE_RETURN_ON_* macros we use to check the validity of given a...
const std::string & string_from_data_type(DataType dt)
Convert a data type identity into a string.
Definition: Utils.cpp:135
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
Definition: Window.h:43
auto ceil_to_multiple(S value, T divisor) -> decltype(((value+divisor - 1)/divisor) *divisor)
Computes the smallest number larger or equal to value that is a multiple of divisor.
Definition: Utils.h:71
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
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

◆ run_op()

void run_op ( ITensorPack tensors,
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]tensorsA vector containing the tensors to operato on.
[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 179 of file CLStridedSliceKernel.cpp.

References arm_compute::ACL_DST, arm_compute::ACL_SRC, ICLKernel::add_4D_tensor_argument(), ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW, ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL, Window::collapse_if_possible(), Window::DimZ, arm_compute::test::validation::dst, arm_compute::enqueue(), ITensorPack::get_const_tensor(), ITensorPack::get_tensor(), ICLKernel::lws_hint(), arm_compute::test::validation::reference::slice(), arm_compute::test::validation::src, and IKernel::window().

180 {
183 
184  const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
185  auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
186 
187  Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
188  Window slice = window_collapsed.first_slice_window_4D();
189 
190  do
191  {
192  unsigned int idx = 0;
193  add_4D_tensor_argument(idx, src, slice);
194  add_4D_tensor_argument(idx, dst, slice);
195  enqueue(queue, *this, slice, lws_hint());
196  }
197  while(window_collapsed.slide_window_slice_4D(slice));
198 }
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
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
SimpleTensor< float > src
Definition: DFT.cpp:155
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:68
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:941
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
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
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)

◆ validate()

Status validate ( const ITensorInfo input,
const ITensorInfo output,
const Coordinates starts,
const Coordinates ends,
const BiStrides strides,
int32_t  begin_mask,
int32_t  end_mask,
int32_t  shrink_axis_mask 
)
static

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

Note
Supported tensor rank: up to 4
Parameters
[in]inputSource tensor. Data type supported: All.
[in]outputDestination tensor. Data type supported: Same as input
[in]startsThe starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
[in]endsThe ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
[in]stridesThe strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
[in]begin_maskIf the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
[in]end_maskIf the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
[in]shrink_axis_maskIf the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1. A slice of size 1 starting from starts[i] in the dimension must be preserved.

Definition at line 167 of file CLStridedSliceKernel.cpp.

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

Referenced by CLSlice::validate(), and CLStridedSlice::validate().

170 {
171  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
172  ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(),
173  starts, ends, strides, begin_mask, end_mask, shrink_axis_mask)
174  .first);
175 
176  return Status{};
177 }
#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)

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