24.02.1
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47 Status
validate_arguments(
const ITensorInfo *
input,
const ITensorInfo *output, NormalizationLayerInfo norm_info)
57 if (output->total_size() != 0)
67 std::pair<Status, Window>
73 bool window_changed =
false;
78 const unsigned int vec_size_x =
81 const bool is_norm_across_width = norm_idx == 0;
83 const unsigned int norm_radius = norm_info.norm_size() / 2;
93 const unsigned int border_width_left = is_norm_across_width ? norm_radius : 0;
94 const unsigned int border_width_right =
95 is_norm_across_width ? norm_radius + (vec_size_x -
input->dimension(0) % vec_size_x) : 0;
96 const BorderSize border_size = BorderSize(0, border_width_right, 0, border_width_left);
102 if (is_norm_across_width)
104 AccessWindowStatic input_access(
input, -border_size.left, 0,
input->dimension(0) + border_size.right, 0);
109 AccessWindowHorizontal input_access(
input, -border_size.left, vec_size_x);
113 AccessWindowHorizontal output_access(output, 0, vec_size_x);
119 if (norm_info.is_cross_map())
127 return std::make_pair(err, win);
132 : _input(nullptr), _output(nullptr), _border_size(0), _is_norm_across_width(false)
164 unsigned int vec_size_x =
166 int vec_size_x_leftovers =
input->info()->dimension(0) % vec_size_x;
170 vec_size_x_leftovers = 0;
176 _is_norm_across_width = norm_idx == 0;
177 const unsigned int norm_radius = norm_info.
norm_size() / 2;
187 const unsigned int border_width_left = _is_norm_across_width ? norm_radius : 0;
188 const unsigned int border_width_right =
189 _is_norm_across_width ? norm_radius + (vec_size_x -
input->info()->dimension(0) % vec_size_x) : 0;
190 _border_size =
BorderSize(0, border_width_right, 0, border_width_left);
224 ICLKernel::configure_internal(win_config.second);
227 _config_id =
"normalization_layer_";
259 const int collapsed_dimension = _is_norm_across_width ?
Window::DimZ : 4;
265 unsigned int idx = 0;
@ NCHW
Num samples, channels, height, width.
std::string to_string(T &&value)
Convert integer and float values to string.
static Status validate(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info)
Static function to check if given info will lead to a valid configuration of CLNormalizationLayerKern...
decltype(strategy::transforms) typedef type
float kappa() const
Get the kappa value.
DataLayout
[DataLayout enum definition]
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)
Container for 2D border size.
@ NHWC
Num samples, height, width, channels.
void configure(const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info)
Set the input and output tensors.
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(...)
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.
Interface for OpenCL tensor.
bool update_window_and_padding(Window &win, Ts &&...patterns)
Update window and padding size for each of the access patterns.
float scale_coeff() const
Return the scaling factor of the normalization function.
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_MISMATCHING_DATA_TYPES(...)
#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)
Manages all the OpenCL kernels compilation and caching, provides accessors for the OpenCL Context.
constexpr auto data_layout
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
@ RUNTIME_ERROR
Generic runtime error.
#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)
void add_option(std::string option)
Adds option to the existing build option list.
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...
#define ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(tensor)
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.
uint32_t norm_size() const
Get the normalization size.
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)
std::string float_to_string_with_full_precision(float val)
Create a string with the float in full precision.
bool slide_window_slice_3D(Window &slice) const
Slide the passed 3D window slice.
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(...)
std::pair< Status, Window > validate_and_configure_window(ITensorInfo *src, ITensorInfo *dst)
CLNormalizationLayerKernel()
Constructor.
@ IN_MAP_2D
Normalization applied within the same map in 2D region.
bool is_cross_map() const
Check if normalization is cross map.
#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(t,...)
Window first_slice_window_3D() const
First 3D slice of the window.
const Window & window() const
The maximum window the kernel can be executed on.
const std::string & string_from_data_layout(DataLayout dl)
Convert a data layout identity into a string.
std::string get_cl_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL type.
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.
virtual std::unique_ptr< T > clone() const =0
Provide a clone of the current object of class T.
Describe a multidimensional execution window.
Normalization Layer Information class.
@ 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.
BorderSize border_size() const override
The size of the border for that kernel.
@ F16
16-bit floating-point number
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.
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.
float beta() const
Get the beta value.
@ F32
32-bit floating-point number
#define ARM_COMPUTE_CREATE_ERROR(error_code, msg)
Creates an error with a given message.
unsigned int get_normalization_dimension_index(DataLayout layout, const NormalizationLayerInfo &info)
Calculate the normalization dimension index for a given normalization type.
void run(const Window &window, cl::CommandQueue &queue) override
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.
bool is_in_map() const
Check if normalization is not cross map.
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)
NormType type() const
Get the normalization type.
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.