24.02.1
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58 "start value is outside the range of the data type");
60 "end value is outside the range of the data type");
62 "step value is outside the range of the data type");
66 "Output tensor size is incorrect");
106 build_opts.
add_option(
"-DVEC_SIZE_LEFTOVER=" +
119 ICLKernel::configure_internal(win);
140 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 unsigned int vector_size_byte_opencl
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.
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)
@ QASYMM8
quantized, asymmetric fixed-point 8-bit number unsigned
@ U16
unsigned 16-bit number
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)
virtual size_t element_size() const =0
Element size in bytes calculated as data_size() * num_channels()
Interface for OpenCL tensor.
const std::string & string_from_data_type(DataType dt)
Convert a data type identity into a string.
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
virtual size_t dimension(size_t index) const =0
Return the size of the requested dimension.
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
#define ARM_COMPUTE_ERROR_THROW_ON(status)
@ U32
unsigned 32-bit number
void add_option(std::string option)
Adds option to the existing build option list.
bool check_value_range(T val, DataType dt, QuantizationInfo qinfo=QuantizationInfo())
Returns true if the value can be represented by the given data type.
@ U8
unsigned 8-bit number
#define ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(tensor)
@ S16
signed 16-bit number
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.
const std::vector< float > & scale() const
Scale vector accessor.
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
std::string float_to_string_with_full_precision(float val)
Create a string with the float in full precision.
virtual DataType data_type() const =0
Data type used for each element of the tensor.
UniformQuantizationInfo uniform() const
Return per layer quantization info.
CLRangeKernel()
Default constructor.
virtual QuantizationInfo quantization_info() const =0
Get the quantization settings (scale and offset) of the tensor.
const Window & window() const
The maximum window the kernel can be executed on.
std::string get_cl_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL type.
Describe a multidimensional execution window.
@ ELEMENTWISE
Elementwise CL kernel type.
#define ARM_COMPUTE_RETURN_ERROR_ON_MSG(cond, msg)
If the condition is true, an error is returned.
Copyright (c) 2017-2024 Arm Limited.
void run(const Window &window, cl::CommandQueue &queue) override
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.
@ F16
16-bit floating-point number
size_t num_of_elements_in_range(const float start, const float end, const float step)
Returns the number of elements required to go from start to end with the wanted step.
unsigned int adjust_vec_size(unsigned int vec_size, size_t dim0)
Returns the adjusted vector size in case it is less than the input's first dimension,...
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.
@ S32
signed 32-bit number
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
void configure(ICLTensor *output, float start, float end, float step)
Initialize the kernel's output tensor, start, end and step of the sequence.
void end(TokenStream &in, bool &valid)
bool is_data_type_quantized_asymmetric(DataType dt)
Check if a given data type is of asymmetric quantized type.
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Store the tensor's metadata.
@ F32
32-bit floating-point number
static Status validate(const ITensorInfo *output, float start, float end, float step)
Static function to check if given info will lead to a valid configuration of CLRangeKernel.
unsigned int num_elems_processed_per_iteration
std::unordered_map< const ITensorInfo *, PaddingSize > get_padding_info(std::initializer_list< const ITensorInfo * > infos)
Stores padding information before configuring a kernel.
const QuantizationInfo qinfo
const std::vector< int32_t > & offset() const
Offset vector accessor.
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.