24.02.1
|
Go to the documentation of this file.
44 const ITensorInfo *output,
45 const InstanceNormalizationLayerKernelInfo &
info)
50 if (output !=
nullptr && output->total_size() != 0)
56 "Input and output have different number of channels");
62 Status validate_arguments_meanvar(
const ITensorInfo *
input,
const ITensorInfo *output)
66 if (output !=
nullptr && output->total_size() != 0)
71 "Input and output have different number of channels");
86 bool use_mixed_precision)
92 _output = output ==
nullptr ?
input : output;
98 build_opts.
add_option(
"-DINTERNAL_DATA_TYPE=" +
115 const unsigned int input_batches =
input->info()->dimension(batches_idx);
116 const TensorShape out_shape(input_channel, 2u, input_batches);
119 if (use_mixed_precision)
127 ICLKernel::configure_internal(win);
155 unsigned int idx = 0;
163 : _input(nullptr), _output(nullptr), _mean(nullptr), _run_in_place(false)
178 _output = output ==
nullptr ?
input : output;
181 _run_in_place = (output ==
nullptr) || (output ==
input);
187 build_opts.
add_option(
"-DINTERNAL_DATA_TYPE=" + (
info.use_mixed_precision
205 if (output !=
nullptr)
210 ICLKernel::configure_internal(win);
241 unsigned int idx = 0;
@ NCHW
Num samples, channels, height, width.
Class to describe a number of elements in each dimension.
std::string to_string(T &&value)
Convert integer and float values to string.
virtual DataLayout data_layout() const =0
Get the data layout 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)
@ NHWC
Num samples, height, width, channels.
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.
Interface for OpenCL tensor.
void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, bool use_mixed_precision)
Set the input and output tensors.
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)
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.
virtual size_t dimension(size_t index) const =0
Return the size of the requested dimension.
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *mean_var, ICLTensor *output, const InstanceNormalizationLayerKernelInfo &info)
Set the input and output tensors.
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)
#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(t,...)
void add_option(std::string option)
Adds option to the existing build option list.
void run(const Window &window, cl::CommandQueue &queue) override
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.
Window collapse(const Window &full_window, size_t first, size_t last=Coordinates::num_max_dimensions) const
Collapse the dimensions between first and last.
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.
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.
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(...)
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const InstanceNormalizationLayerKernelInfo &info)
Static function to check if given info will lead to a valid configuration of CLInstanceNormalizationL...
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.
static constexpr size_t DimY
Alias for dimension 1 also known as Y dimension.
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.
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.
size_t get_data_layout_dimension_index(const DataLayout &data_layout, const DataLayoutDimension &data_layout_dimension)
Get the index of the given dimension.
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.
CLComputeMeanVariance()
Constructor.
@ F16
16-bit floating-point number
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.
void run(const Window &window, cl::CommandQueue &queue) override
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
Store the tensor's metadata.
@ F32
32-bit floating-point number
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
CLInstanceNormalizationLayerKernel()
Constructor.
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.
static Status validate(const ITensorInfo *input, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of CLInstanceNormalizationL...
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.