24.02.1
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43 const ITensorInfo *output,
44 const Coordinates &starts,
45 const Coordinates &ends,
49 int32_t shrink_axis_mask)
59 std::any_of(strides.cbegin(), strides.cbegin() + strides.num_dimensions(), [](
int i) { return i == 0; }));
63 *
input, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
67 if (output->total_size() != 0)
69 const TensorInfo exp_output_info = output->clone()->set_tensor_shape(exp_output_shape);
91 int32_t shrink_axis_mask)
103 std::tie(starts_abs, ends_abs, final_strides) =
105 begin_mask, end_mask, shrink_axis_mask);
109 *
input, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
114 const int vec_size_x = 16 /
input->element_size();
117 const bool multi_access_x = !is_shrink_on_x && (final_strides.
x() == 1) && (output_width_x / vec_size_x > 0);
122 Window &updated_window = win;
127 ICLKernel::configure_internal(win);
143 std::max<int>(output_width_x - vec_size_x, 0)));
153 _config_id =
"strided_slice";
177 int32_t shrink_axis_mask)
199 unsigned int idx = 0;
Class to describe a number of elements in each dimension.
std::string to_string(T &&value)
Convert integer and float values to string.
constexpr int start() const
Return the start of the dimension.
void add_option_if_else(bool cond, std::string option_true, std::string option_false)
Adds first option if condition is true else the second one.
SimpleTensor< float > src
TensorShape compute_strided_slice_shape(const ITensorInfo &input, const Coordinates &starts, const Coordinates &ends, const Coordinates &strides, int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
Calculate the strided slice output shape of a tensor.
Coordinates BiStrides
Bidirectional strides.
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
const StringSet & options() const
Gets the current options list set.
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps, bool skip_border, BorderSize border_size)
std::string lower_string(const std::string &val)
Lower a given string.
Status validate_arguments(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *dst, const PadStrideInfo &conv_info)
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(...)
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
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.
ITensor * get_tensor(int id)
Get tensor of a given id from the pac.
const std::string & string_from_data_type(DataType dt)
Convert a data type identity into a string.
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)
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.
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
T z() const
Alias to access the size of the third dimension.
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
size_t data_size_from_type(DataType data_type)
The size in bytes of the data type.
const ITensor * get_const_tensor(int id) const
Get constant tensor of a given id.
#define ARM_COMPUTE_ERROR_THROW_ON(status)
void add_option(std::string option)
Adds option to the existing build option list.
#define ARM_COMPUTE_RETURN_ERROR_ON(cond)
If the condition is true, an error is returned.
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...
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.
bool is_bit_set(T v, unsigned int idx)
Checks if the idx-th bit is set in an integral type.
void add_option_if(bool cond, std::string option)
Adds option if a given condition is true;.
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
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.
T x() const
Alias to access the size of the first dimension.
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.
Describe one of the image's dimensions with a start, end and step.
void set(size_t dimension, const Dimension &dim)
Set the values of a given dimension.
CLStridedSliceKernel()
Default constructor.
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.
TensorShape input_shape
Validate test suite is to test ARM_COMPUTE_RETURN_ON_* macros we use to check the validity of given a...
const Window & window() const
The maximum window the kernel can be executed on.
std::string get_cl_unsigned_type_from_element_size(size_t element_size)
Translates the element size to an unsigned integer data type.
Describe a multidimensional execution window.
@ ELEMENTWISE
Elementwise CL kernel type.
Copyright (c) 2017-2024 Arm Limited.
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.
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Store the tensor's metadata.
Window first_slice_window_4D() const
First 4D slice of the window.
@ UNKNOWN
Unknown data type.
constexpr int end() const
Return the end of the dimension.
bool slide_window_slice_4D(Window &slice) const
Slide the passed 4D window slice.
unsigned int num_dimensions() const
Returns the effective dimensionality of the tensor.
constexpr const Dimension & x() const
Alias to access the first dimension of the window.
std::unordered_map< const ITensorInfo *, PaddingSize > get_padding_info(std::initializer_list< const ITensorInfo * > infos)
Stores padding information before configuring a kernel.
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)
virtual size_t num_dimensions() const =0
The number of dimensions of the tensor (rank)
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.
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.