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const std::string & string_from_interpolation_policy(InterpolationPolicy policy)
Translates a given interpolation policy to a string.
@ QSYMM8_PER_CHANNEL
quantized, symmetric per channel fixed-point 8-bit number
Basic function to run cpu::CpuComplexMul.
Definition: NEPixelWiseMultiplication.h:147
Basic function to run cpu::CpuComplexMul.
Definition: NEPixelWiseMultiplication.h:148
Basic function to compute a normalization layer.
Definition: NENormalizationLayer.h:48
@ Custom
Custom precision specified by the user using the precision parameter.
ITransformWeights & operator=(ITransformWeights &&other)
Allow instances of this class to be moved.
Definition: ITransformWeights.h:73
static Status validate(const ITensorInfo *input, const ITensorInfo *input_to_forget_weights, const ITensorInfo *input_to_cell_weights, const ITensorInfo *input_to_output_weights, const ITensorInfo *recurrent_to_forget_weights, const ITensorInfo *recurrent_to_cell_weights, const ITensorInfo *recurrent_to_output_weights, const ITensorInfo *forget_gate_bias, const ITensorInfo *cell_bias, const ITensorInfo *output_gate_bias, const ITensorInfo *cell_state_in, const ITensorInfo *output_state_in, const ITensorInfo *cell_state_out, const ITensorInfo *output_state_out, const ITensorInfo *output, const LSTMParams< ITensorInfo > &lstm_params)
Static function to check if given info will lead to a valid configuration of CLQLSTMLayer.
void run() override
Run the kernels contained in the function.
void init_sgemm_output(T &dst, T &src0, T &src1, arm_compute::DataType dt)
Definition: Utils.h:807
void init_sgemm_output(T &dst, T &src0, T &src1, arm_compute::DataType dt)
Definition: Utils.h:823
Definition: QuantizationInfo.h:216
std::unique_ptr< graph::ITensorAccessor > get_input_accessor(const arm_compute::utils::CommonGraphParams &graph_parameters, std::unique_ptr< IPreprocessor > preprocessor=nullptr, bool bgr=true)
Generates appropriate input accessor according to the specified graph parameters.
Definition: GraphUtils.h:505
bool is_open()
Return true if a NPY file is currently open.
Definition: Utils.h:319
bool is_open()
Return true if a NPY file is currently open.
Definition: Utils.h:335
void configure(const ITensor *src, const ITensor *updates, const ITensor *indices, ITensor *output, const ScatterInfo &info)
Initialise the kernel's inputs and outputs.
void configure(const ITensor *input, const ITensor *bias, ITensor *output, const GEMMLowpOutputStageInfo &info)
Initialise the kernel's inputs, output.
T safe_integer_div(T val_a, T val_b)
Safe integer division between two integers.
Definition: SafeOps.h:165
Basic function to run opencl::kernels::ClArithmeticKernel for min.
Definition: CLElementwiseOperations.h:451
virtual bool do_setup(int argc, char **argv)
Setup the example.
Definition: Utils.h:84
virtual bool do_setup(int argc, char **argv)
Setup the example.
Definition: Utils.h:85
@ OHWIo8i4
ToggleOption * help
Show help option.
Definition: CommonGraphOptions.h:153
std::function< void(const ThreadInfo &)> Workload
Signature for the workloads to execute.
Definition: IScheduler.h:135
void fill_random_tensor(TensorType &tensor, std::random_device::result_type seed, T lower_bound=std::numeric_limits< T >::lowest(), T upper_bound=std::numeric_limits< T >::max())
Definition: Utils.h:770
void fill_random_tensor(TensorType &tensor, std::random_device::result_type seed, T lower_bound=std::numeric_limits< T >::lowest(), T upper_bound=std::numeric_limits< T >::max())
Definition: Utils.h:786
std::unique_ptr< ICLTuningParametersList > get_tuning_parameters_list(CLTuningInfo tuning_info, const cl::NDRange &gws)
Construct an ICLTuningParametersList object for the given tuner mode and gws configuration.
void accept(INodeVisitor &v) override
Accepts a node visitor.
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of NELogicalAnd.
NEActivationLayer(IRuntimeContext *ctx=nullptr)
Constructor.
int32_t shrink_axis_mask() const
Definition: Types.h:1640
void prepare(ITensorPack &constants) override
Prepare the function for executing.
CLConvertFullyConnectedWeights & operator=(const CLConvertFullyConnectedWeights &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
void unmap(cl::CommandQueue &q) final
Enqueue an unmap operation of the allocated buffer on the given queue.
TensorShape compute_pool_shape(const ITensorInfo &input, PoolingLayerInfo pool_info)
Calculate the output pool shape of a tensor.
Definition: ShapeCalculator.h:881
Definition: CpuSoftmax.h:46
CLTensorAllocator * allocator()
Return a pointer to the tensor's allocator.
static constexpr size_t DimV
Alias for dimension 4 also known as V dimension.
Definition: Window.h:51
void load_trained_data(T &tensor, const std::string &filename)
Load the tensor with pre-trained data from a binary file.
Definition: Utils.h:681
void load_trained_data(T &tensor, const std::string &filename)
Load the tensor with pre-trained data from a binary file.
Definition: Utils.h:697
CLLSTMLayerQuantized & operator=(const CLLSTMLayerQuantized &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
const std::map< Target, std::unique_ptr< IDeviceBackend > > & backends() const
Backends accessor.
void set_activation_info(const ActivationLayerInfo &activation_info)
Set activation layer info.
Definition: GEMMInfo.h:289
Coordinates2D img_size() const
Get the image size coordinates.
Definition: Types.h:733
AclStatus AclRunOperator(AclOperator op, AclQueue queue, AclTensorPack tensors)
Eager execution of a given operator on a list of inputs and outputs.
virtual bool is_allocated() const =0
Return whether the tensor is currently allocated.
cl::CommandQueue & queue()
Accessor for the associated CL command queue.
bool extend_padding(const PaddingSize &padding) override
Update the offset to the first element, the strides and the total size.
Conv2dAttributes & dilation(const Size2D &dilation)
Set dilation.
Device backend interface.
Definition: IDeviceBackend.h:48
const std::string & string_from_border_mode(BorderMode border_mode)
Translates a given border mode policy to a string.
int compare_tensor(ITensor &tensor1, ITensor &tensor2, T tolerance)
Compare two tensors.
Definition: Utils.h:827
int compare_tensor(ITensor &tensor1, ITensor &tensor2, T tolerance)
Compare two tensors.
Definition: Utils.h:843
static Status validate(const ITensorInfo *input, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of CLTranspose.
Basic function to perform inverse square root on an input tensor.
Definition: CLElementwiseUnaryLayer.h:39
INEOperator(IRuntimeContext *ctx=nullptr)
Constructor.
void fill_tensor(T &tensor)
Fill a tensor with the content of the currently open NPY file.
Definition: Utils.h:365
void fill_tensor(T &tensor)
Fill a tensor with the content of the currently open NPY file.
Definition: Utils.h:381
ConcatenateLayerNode(unsigned int total_nodes, descriptors::ConcatLayerDescriptor concat_descriptor)
Constructor.
CLSubTensor & operator=(const CLSubTensor &)=delete
Restrict instances of this class to be copied.
size_t height
Height of the image region or rectangle.
Definition: Size2D.h:89
void run(ITensorPack &tensors) override
Run the kernels contained in the function.
NEAddMulAdd & operator=(const NEAddMulAdd &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const Conv2dInfo &info)
Set the input and output tensors.
inline ::std::ostream & operator<<(::std::ostream &os, const Target &target)
Formatted output of the Target.
Definition: TypePrinter.h:38
uniform_real_distribution_16bit(float min=0.f, float max=1.0)
Constructor.
Definition: Utils.h:267
std::string error_description() const
Gets error description if any.
Definition: Error.h:96
compare_dimension(const Dimensions< T > &dim, const char *function, const char *file, int line)
Construct a comparison function.
Definition: Validate.h:82
Status create_error_msg(ErrorCode error_code, const char *func, const char *file, int line, const char *msg)
Creates an error and the error message.
TensorShape compute_indirect_buffer_shape(const TensorShape &input_shape, DataLayout input_data_layout, const TensorShape &weights_shape, const PadStrideInfo &conv_info, const DirectConvComputeKernelInfo &desc)
Calculate the indirect buffer output shape used by the indirect convolution function.
Definition: ShapeCalculator.h:835
bool is_data_type_quantized_symmetric(DataType dt)
Check if a given data type is of symmetric quantized type.
Definition: DataTypeUtils.h:400
bool is_data_type_quantized_symmetric(DataType dt)
Check if a given data type is of symmetric quantized type.
Definition: DataTypeUtils.h:403
std::pair< result_type, result_type > range_pair
Definition: Random.h:56
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm)
Static function to check if given info will lead to a valid configuration of CPPPermute.
float a
Factor &alpha used by some activations.
Definition: AclDescriptors.h:56
T * cell_layer_norm_weights() const
Definition: LSTMParams.h:253
const Strides & strides_in_bytes() const override
The strides in bytes for accessing each dimension of the tensor.
Definition: TensorInfo.h:224
T wrap_around(T x, T m)
Wrap-around a number within the range 0 <= x < m.
Definition: Helpers.h:277
TensorDescriptor configure_output(size_t idx) const override
Calculates output configuration.
MemoryManagerContext * memory_management_ctx(Target target)
Gets a memory manager context for a given target.
TensorShape compute_transposed_shape(const ITensorInfo &input)
Calculate the transposed shape of a tensor.
Definition: ShapeCalculator.h:422
static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor, int stride)
Computes reorg output descriptor.
std::string get_typestring(DataType data_type)
Obtain numpy type string from DataType.
Definition: Utils.h:155
std::string get_typestring(DataType data_type)
Obtain numpy type string from DataType.
Definition: Utils.h:156
std::string to_string() const
void close() override
Closes an image file.
Definition: ImageLoader.h:403
static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst, ConvertPolicy policy, const ActivationLayerInfo &act_info=ActivationLayerInfo())
Static function to check if given info will lead to a valid configuration.
bool has_dotprod() const
Checks if the cpu model supports dot product.
bfloat16(float v, bool portable)
Constructor.
Definition: Bfloat16.h:113
Basic function to run opencl::kernels::ClArithmeticKernel for max.
Definition: CLElementwiseOperations.h:365
Descriptor used by the FFT core kernels.
Definition: KernelDescriptors.h:48
Kernel create_kernel(const std::string &kernel_name, const std::set< std::string > &build_options_set={}) const
Creates a kernel from the kernel library.
CpuGemmDirectConv2d & operator=(const CpuGemmDirectConv2d &)=delete
Prevent copy assignment.
const ROIPoolingLayerInfo & pooling_info() const
ROIPoolingLayerInfo accessor.
std::unique_ptr< IFunction > create_detection_post_process_layer(DetectionPostProcessLayerNode &node)
Create a backend detection post process layer function.
Definition: FunctionHelpers.h:721
void configure(const std::vector< ITensor * > &input, int axis, ITensor *output)
Initialise the kernel's inputs vector and output.
bool fast_math() const
Flag which specifies if a shorter accumulator to be used.
Definition: GEMMInfo.h:223
bool is_data_type_quantized_asymmetric_char(DataType dt)
Check if a given data type is of 8-bit asymmetric quantized signed type.
Definition: DataTypeUtils.h:382
bool is_data_type_quantized_asymmetric_char(DataType dt)
Check if a given data type is of 8-bit asymmetric quantized signed type.
Definition: DataTypeUtils.h:385
std::string name() const
Returns program name.
Definition: CLCompileContext.h:119
void prepare() override
Prepare the function for executing.
MutationType type() const override
Returns mutation type.
TensorShape compute_im2col_conv_shape(const ITensorInfo *input, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation, bool batch_size_on_z, unsigned int num_groups=1, unsigned int input_pad_right=0)
Calculate the im2col output shape of a tensor.
Definition: ShapeCalculator.h:585
arm_compute::Status error_on_mismatching_dimensions(const char *function, const char *file, int line, const Dimensions< T > &dim1, const Dimensions< T > &dim2, Ts &&...dims)
Return an error if the passed dimension objects differ.
Definition: Validate.h:280
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value=PixelValue(), PaddingMode mode=PaddingMode::CONSTANT)
Static function to check if given info will lead to a valid configuration of CLPadLayer.
MappingType mapping_type() const override
Returns the mapping types that this pool accepts.
virtual bool has_padding() const =0
Checks if the tensor has been allocated with padding or not.
int k0
Number of inner accumulations.
Definition: KernelDescriptors.h:249
DataType get_promoted_data_type(DataType dt)
Return the promoted data type of a given data type.
Definition: DataTypeUtils.h:159
DataType get_promoted_data_type(DataType dt)
Return the promoted data type of a given data type.
Definition: DataTypeUtils.h:162
virtual void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
Execute the kernel on the passed window.
Definition: ICPPKernel.h:88
~CLFuseBatchNormalization()
Default destructor.
CLL2NormalizeLayer & operator=(const CLL2NormalizeLayer &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
@ OHWIo4i8
bool is_fortran()
Return true if a NPY file is in fortran order.
Definition: Utils.h:325
bool is_fortran()
Return true if a NPY file is in fortran order.
Definition: Utils.h:341
CLMatMul & operator=(const CLMatMul &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
ValidRegion valid_region() const override
Valid region of the tensor.
Definition: SubTensorInfo.h:221
TensorAllocator * allocator()
Return a pointer to the tensor's allocator.
const std::vector< T > & value() const
Get the values of the option.
Definition: EnumListOption.h:147
GraphContext * ctx
Graph execution context.
Definition: Workload.h:103
static bfloat16 max()
Largest representative value.
Definition: Bfloat16.h:127
static bfloat16 max()
Largest representative value.
Definition: Bfloat16.h:150
NodeID create_layer(IStream &s) override
Create layer and add to the given stream.
Definition: Layers.h:1335
static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info=WeightsInfo(), const Size2D &dilation=Size2D(1U, 1U), const ActivationLayerInfo &act_info=ActivationLayerInfo(), bool enable_fast_math=false, unsigned int num_groups=1)
Static function to check if given info will lead to a valid configuration of NEConvolutionLayer.
TopNPredictionsAccessor(const std::string &labels_path, size_t top_n=5, std::ostream &output_stream=std::cout)
Constructor.
Definition: GraphUtils.cpp:600
TensorShape compute_deconvolution_output_shape(const std::pair< unsigned int, unsigned int > &out_dims, const ITensorInfo &input, const ITensorInfo &weights)
Calculate the output shape of the deconvolution layer.
Definition: ShapeCalculator.h:552
Common command line options used to configure the graph examples.
Definition: CommonGraphOptions.h:134
unsigned int max_classes_per_detection() const
Get max_classes per detection.
Definition: Types.h:971
float confidence_threshold() const
Get confidence threshold.
Definition: Types.h:887
std::function< int(int, int)> BindFunc
Function to be used and map a given thread id to a logical core id.
Definition: IScheduler.h:56
virtual std::unique_ptr< IMemoryRegion > extract_subregion(size_t offset, size_t size)=0
Extract a sub-region from the memory.
bool check_value_range(T val, DataType dt, QuantizationInfo qinfo=QuantizationInfo())
Returns true if the value can be represented by the given data type.
Definition: DataTypeUtils.h:439
bool check_value_range(T val, DataType dt, QuantizationInfo qinfo=QuantizationInfo())
Returns true if the value can be represented by the given data type.
Definition: DataTypeUtils.h:442
DummyLayer(TensorShape shape)
Construct a dummy layer.
Definition: Layers.h:653
void set_device(cl::Device device)
Sets the CL device for which the programs are created.
NESoftmaxLayerGeneric(std::shared_ptr< IMemoryManager > memory_manager=nullptr)
Constructor.
void init_tensor(T &tensor, arm_compute::DataType dt)
Initialise the tensor's metadata with the dimensions of the NPY file currently open.
Definition: Utils.h:336
void init_tensor(T &tensor, arm_compute::DataType dt)
Initialise the tensor's metadata with the dimensions of the NPY file currently open.
Definition: Utils.h:352
@ Normal
Basic function to simulate a pooling layer with the specified pooling operation.
Definition: NEPoolingLayer.h:44
@ AclCpuCapabilitiesFp16
Enable float16 data-type support.
Definition: AclTypes.h:87
NodeID create_layer(IStream &s) override
Create layer and add to the given stream.
Definition: Layers.h:835
PReluLayer(SubStream &&sub_stream0, SubStream &&sub_stream1)
Construct an PRelu operation layer.
Definition: Layers.h:1013
bool is_data_type_quantized_asymmetric_signed(DataType dt)
Check if a given data type is of asymmetric quantized signed type.
Definition: DataTypeUtils.h:365
bool is_data_type_quantized_asymmetric_signed(DataType dt)
Check if a given data type is of asymmetric quantized signed type.
Definition: DataTypeUtils.h:368
virtual void register_pool(std::unique_ptr< IMemoryPool > pool)=0
Register pool to be managed by the pool.
static Status validate_op(const GpuWorkloadSketch &sketch, const ITensorInfo *src, const ITensorInfo *dst, const Attributes &attributes)
Validate the operator and check if the its configuration is supported and if it can be fused into the...
ITensorAllocator & operator=(const ITensorAllocator &)=default
Allow instances of this class to be copied.
std::string cpu_impl_dt(const DataType &data_type)
Returns the suffix string of CPU kernel implementation names based on the given data type.
Definition: DataTypeUtils.h:505
std::string cpu_impl_dt(const DataType &data_type)
Returns the suffix string of CPU kernel implementation names based on the given data type.
Definition: DataTypeUtils.h:508
MemoryGroup & operator=(const MemoryGroup &)=delete
Prevent instances of this class from being copy assigned (As this class contains pointers)
void get(int64_t &v) const
Interpret the pixel value as a S64.
Definition: PixelValue.h:284
SliceLayerNode(const Coordinates &starts, const Coordinates &ends)
Default Constructor.
GEMMKernelInfo()=default
T result_type
Definition: Utils.h:261
T result_type
Definition: Utils.h:262
void configure(const ITensor *input, ITensor *output, const PermutationVector &perm)
Configure the permute function.
TensorShape shape() const
Return the shape of the window in number of steps.
Definition: Window.inl:298
TargetInfo::TensorType * get_backing_tensor(arm_compute::graph::Tensor *tensor)
Returns backing tensor of a given tensor.
Definition: FunctionHelpers.h:59
AccessWindowRectangle(ITensorInfo *info, int x, int y, int width, int height, float scale_x, float scale_y)
Constructor for a rectangular access pattern.
Definition: IAccessWindow.h:140
void save_to_npy(T &tensor, const std::string &npy_filename, bool fortran_order)
Template helper function to save a tensor image to a NPY file.
Definition: Utils.h:626
void save_to_npy(T &tensor, const std::string &npy_filename, bool fortran_order)
Template helper function to save a tensor image to a NPY file.
Definition: Utils.h:642
void set_depthwise_convolution_method(DepthwiseConvolutionMethod method)
Sets the depthwise convolution layer method to use.
GraphManager & operator=(const GraphManager &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
DataType data_type_from_format(Format format)
Return the data type used by a given single-planar pixel format.
Definition: DataTypeUtils.h:115
DataType data_type_from_format(Format format)
Return the data type used by a given single-planar pixel format.
Definition: DataTypeUtils.h:118
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info=ActivationLayerInfo())
Static function to check if given info will lead to a valid configuration of CLComplexPixelWiseMultip...
unsigned int num_groups() const
Number of groups accessor.
#define ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(t,...)
Definition: Validate.h:786
NodeID tail_node()
Returns the tail node of the Stream.
Definition: IStream.h:65
arm_compute::Status error_on_window_dimensions_gte(const char *function, const char *file, const int line, const Window &win, unsigned int max_dim)
Return an error if the passed window has too many dimensions.
DetectionPostProcess Layer node.
Definition: DetectionPostProcessLayerNode.h:34
constexpr const Dimension & y() const
Alias to access the second dimension of the window.
Definition: Window.h:167
CLTuner(bool tune_new_kernels=true, CLTuningInfo tuning_info=CLTuningInfo())
Constructor.
void release_if_unused() override
Releases backend tensor if is marked as unused.
static ITensorInfo * create_op(GpuWorkloadSketch &sketch, ITensorInfo *src, const Attributes &attributes)
Create an operator and fuse it into the workload sketch.
virtual void do_teardown()
Teardown the example.
Definition: Utils.h:92
virtual void do_teardown()
Teardown the example.
Definition: Utils.h:93
TensorDescriptor configure_output(size_t idx) const override
Calculates output configuration.
static Status is_supported_op(const GpuWorkloadContext &context, const ITensorInfo *lhs, const ITensorInfo *rhs)
Check if the operator configuration is supported, irrespective of fusion.
int background_label_id() const
Get background label ID.
Definition: Types.h:882
BorderSize & operator*=(float scale)
Scale this border size.
Definition: Types.h:281
virtual void mutate(Graph &g) override
Walk the graph and perform a specific mutation.
bool is_data_type_quantized_per_channel(DataType dt)
Check if a given data type is of per channel type.
Definition: DataTypeUtils.h:419
bool is_data_type_quantized_per_channel(DataType dt)
Check if a given data type is of per channel type.
Definition: DataTypeUtils.h:422
void configure(const CLCompileContext &compile_context, const ICLTensor *src, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *dst, const Conv3dInfo &conv3d_info)
Set the src and dst tensors.
int start(unsigned int d) const
Return the start of the valid region for the given dimension d.
Definition: Types.h:187
Basic function to run cpu::kernels::CpuArithmeticKernel for power.
Definition: NEElementwiseOperations.h:302
void set_weight_format(arm_compute::WeightFormat weight_format)
Definition: Types.h:1738
T x() const
Alias to access the size of the first dimension.
Definition: Dimensions.h:86
void fill_tensor_vector(TensorType &tensor, std::vector< T > vec)
Definition: Utils.h:752
void fill_tensor_vector(TensorType &tensor, std::vector< T > vec)
Definition: Utils.h:768
MemoryType
Type of memory used by a workload tensor.
Definition: MemoryDescriptor.h:53
void run() override
Run the kernels contained in the function.
void configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info)
Set the input and output tensors.
@ SoftmaxLayer
void save_to_ppm(T &tensor, const std::string &ppm_filename)
Template helper function to save a tensor image to a PPM file.
Definition: Utils.h:543
void save_to_ppm(T &tensor, const std::string &ppm_filename)
Template helper function to save a tensor image to a PPM file.
Definition: Utils.h:559
bool is_allocated() const override
Return whether the tensor is currently allocated.
bool broadcast_bias() const
Flag which specifies whether to broadcast the shape of the bias tensor.
Definition: Types.h:1879
@ UnsupportedTarget
void configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, DataLayout data_layout)
Initialize the function.
size_t dimension(DataLayoutDimension dimension) const override
Return the size of the requested data layout dimension.
Definition: SubTensorInfo.h:129
INESimpleFunction & operator=(const INESimpleFunction &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
void configure(const ICLTensor *input, ICLTensor *output)
Initialise the kernel's input and output.
EnumOption< arm_compute::graph::Target > * target
Graph execution target.
Definition: CommonGraphOptions.h:156
void configure(const ITensorInfo *src, ITensorInfo *dst, float beta=1.0f, int32_t axis=0, bool is_log=false)
Set the input and output tensors.
Describe one of the image's dimensions with a start, end and step.
Definition: Window.h:79
uint8_t * buffer() const override
Interface to be implemented by the child class to return a pointer to CPU memory.
Pooling3dLayerInfo() noexcept
Default Constructor.
Definition: Types.h:1159
LSTMParams & set_cifg_params(const T *input_to_input_weights, const T *recurrent_to_input_weights, T *cell_to_input_weights, const T *input_gate_bias)
Set CIFG tensor parameters.
Definition: LSTMParams.h:82
T make_array(Iterator first, index_sequence< S... >)
Definition: Utility.h:80
void map(T &tensor, bool blocking)
Maps a tensor if needed.
Definition: Utils.h:213
void map(T &tensor, bool blocking)
Maps a tensor if needed.
Definition: Utils.h:214
FastMathHint fast_math_hint
Fast math hint.
Definition: Types.h:67
ITensorInfo & set_is_resizable(bool is_resizable) override
Set the flag whether the tensor size can be changed.
Definition: TensorInfo.h:286
void allocate_const_tensors(Graph &g)
Allocates const tensor of a given graph.
AuxMemoryInfo()=default
static Status validate(const ITensorInfo *input, const ITensorInfo *indices, const ITensorInfo *output, const PoolingLayerInfo &pool_info)
Static function to check if given info will lead to a valid configuration of CLMaxUnpoolingLayer.
Configurable scheduler which supports multiple multithreading APIs and choosing between different sch...
Definition: Scheduler.h:35
CLBackendType backend_type
CL backend type to use.
Definition: Types.h:100
void open(const std::string &npy_filename, DataLayout file_layout=DataLayout::NCHW)
Open a NPY file and reads its metadata.
Definition: Utils.h:298
void open(const std::string &npy_filename, DataLayout file_layout=DataLayout::NCHW)
Open a NPY file and reads its metadata.
Definition: Utils.h:314
Program & operator=(const Program &)=default
Default copy assignment operator.
CLLogLayer & operator=(const CLLogLayer &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *axis, bool use_inverted_axis)
Initialize the function.
const char * name() const override
Name of the kernel.
Definition: CPPPermuteKernel.h:40
T operator()(std::mt19937 &gen)
() operator to generate next value
Definition: Utils.h:275
T operator()(std::mt19937 &gen)
() operator to generate next value
Definition: Utils.h:278
int32_t construct_slice_end_mask(Coordinates ends)
Constructs end mask in case we want to perform a slice operation using the strided slice interface.
Definition: TopologicalSort.h:33
~CpuDepthwiseConv2d() override
Default destructor.
CPP Function to perform non maximum suppression on the bounding boxes and scores.
Definition: CPPNonMaximumSuppressionKernel.h:37
static constexpr Id invalid_tensor_id
An invalid tensor id within a domain.
Definition: ITensorInfo.h:52
bool is_allocated() const override
Return whether the tensor is currently allocated.
CLArithmeticSubtraction & operator=(const CLArithmeticSubtraction &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
static NodeID add_depthwise_convolution_node(Graph &g, NodeParams params, NodeIdxPair input, Size2D kernel_spatial_extend, PadStrideInfo conv_info, int depth_multiplier=1, DepthwiseConvolutionMethod method=DepthwiseConvolutionMethod::Default, ITensorAccessorUPtr weights_accessor=nullptr, ITensorAccessorUPtr bias_accessor=nullptr, const QuantizationInfo &quant_info=QuantizationInfo(), const QuantizationInfo &out_quant_info=QuantizationInfo())
Adds a depth-wise convolution layer node to the graph.
std::unique_ptr< ITensorInfo > clone() const override
Generate Proposals Layer node.
Definition: GenerateProposalsLayerNode.h:35
~CLGEMMLowpMatrixMultiplyCore()
Default destructor.
FastMathHint fast_math_hint() const
Fast math hint accessor.
void free() override
Allocates backend memory for the handle.
void fill_tensor_value(TensorType &tensor, T value)
Definition: Utils.h:731
void fill_tensor_value(TensorType &tensor, T value)
Definition: Utils.h:747
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.
Definition: Utils.h:295
Attributes are backend-agnostic parameters (in addition to the input/output tensors) of an operator.
Definition: ReshapeAttributes.h:38
CpuElementwiseDivision & operator=(CpuElementwiseDivision &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
DepthwiseConv2dAttributes & dimension_rounding_type(const DimensionRoundingType &dimension_rounding_type)
Set Dimension rounding type.
bool is_data_type_float(DataType dt)
Check if a given data type is of floating point type.
Definition: DataTypeUtils.h:304
bool is_data_type_float(DataType dt)
Check if a given data type is of floating point type.
Definition: DataTypeUtils.h:307
void run() override
Run the kernels contained in the function.
bool use_transition_memory_manager
Use a memory manager to manager transition buffer memory.
Definition: Types.h:91
NEElementwiseDivision()
Default Constructor.
bool is_data_type_quantized_asymmetric(DataType dt)
Check if a given data type is of asymmetric quantized type.
Definition: DataTypeUtils.h:346
bool is_data_type_quantized_asymmetric(DataType dt)
Check if a given data type is of asymmetric quantized type.
Definition: DataTypeUtils.h:349
union arm_compute::PixelValue::@0 value
Union which describes the value of a pixel for any image format.
std::string angle_wrap_value(const T &val)
Wraps a value with angles and returns the string.
Definition: Helpers.h:63
NEFullyConnectedLayer & operator=(const NEFullyConnectedLayer &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
virtual void set_owned_region(std::unique_ptr< IMemoryRegion > region)=0
Sets a memory region.
@ Int32
NodeType type() const override
Returns node's type.
uniform_real_distribution_16bit(float min=0.f, float max=1.0, bool portable=false)
Constructor.
Definition: Utils.h:269
size_t num_iterations_total() const
Return the total number of iterations needed to iterate through the entire window.
Definition: Window.inl:308
size_t right
Padding across the width dimenstion on the right, in elements.
Definition: Types.h:639
CLElementwisePower & operator=(const CLElementwisePower &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
void visit(ConvolutionLayerNode &n) override
Visit ConvolutionLayerNode.
bool is_data_type_quantized(DataType dt)
Check if a given data type is of quantized type.
Definition: DataTypeUtils.h:324
bool is_data_type_quantized(DataType dt)
Check if a given data type is of quantized type.
Definition: DataTypeUtils.h:327
experimental::MemoryRequirements workspace() const override
Return the memory requirements required by the workspace.
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info=ActivationLayerInfo())
Initialise the kernel's inputs, output.
bool is_subtensor() const override
Checks if a backing tensor is a sub-tensor object or not.
arm_compute::graph::FastMathHint fast_math_hint
Definition: CommonGraphOptions.h:104
void configure(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, ITensorInfo *d, float alpha, float beta, const GEMMInfo &gemm_info=GEMMInfo())
Configure operator for a given list of arguments.
experimental::MemoryRequirements workspace() const override
Return the memory requirements required by the workspace.
virtual ITensorInfo & set_data_layout(const DataLayout &data_layout)=0
Set the data layout of the tensor.
Status create_error(ErrorCode error_code, std::string msg)
Creates an error containing the error message.
void configure(ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op, bool keep_dims=true)
Set the input and output tensors.
static Status validate(const ITensorInfo *src, const ITensorInfo *dst, float beta=1.0f, int32_t axis=0, bool is_log=false)
Static function to check if given info will lead to a valid configuration.
Abstract class of the simple lifetime manager interface.
Definition: ISimpleLifetimeManager.h:43
CpuSoftmax & operator=(const CpuSoftmax &)=delete
Prevent copy assignment.
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info=ActivationLayerInfo())
Static function to check if given info will lead to a valid configuration of opencl::kernels::ClArith...
NormType
The normalization type used for the normalization layer.
Definition: Types.h:456
void configure(const CLCompileContext &compile_context, ICLTensor *rhs, ICLTensor *lhs, ICLTensor *dst, const MatMulInfo &matmul_info, const GpuMatMulSettings &settings=GpuMatMulSettings{}, const ActivationLayerInfo &act_info=ActivationLayerInfo{})
Initialise the kernel's inputs and output.
static bfloat16 lowest()
Lowest representative value.
Definition: Bfloat16.h:117
static bfloat16 lowest()
Lowest representative value.
Definition: Bfloat16.h:140
int mult_interleave4x4_height() const
Multiplication factor for the height of the 4x4 interleaved block.
Definition: Types.h:1852
void unlock_pool(IMemoryPool *pool) override
Releases memory pool.
const char * name() const override
Name of the kernel.
Definition: CPPUpsampleKernel.h:39
std::tuple< PixelValue, PixelValue > get_min_max(DataType dt)
Compute the mininum and maximum values a data type can take.
Definition: DataTypeUtils.h:195
std::tuple< PixelValue, PixelValue > get_min_max(DataType dt)
Compute the mininum and maximum values a data type can take.
Definition: DataTypeUtils.h:198
T safe_integer_mul(T val_a, T val_b)
Safe integer multiplication between two integers.
Definition: SafeOps.h:115
Detection output accessor class.
Definition: GraphUtils.h:351
std::vector< NodeIdxPair > get_driving_nodes(const INode &node)
Get the list of driving nodes of a given node.
virtual bool lock_paddings() const =0
Get the lock paddings flag value.
inline ::std::istream & operator>>(::std::istream &stream, DataType &data_type)
Input Stream operator for DataType.
Definition: DataTypeUtils.h:290
inline ::std::istream & operator>>(::std::istream &stream, DataType &data_type)
Input Stream operator for DataType.
Definition: DataTypeUtils.h:293
NodeID create_layer(IStream &s) override
Create layer and add to the given stream.
Definition: Layers.h:888
CLFFT1D(std::shared_ptr< IMemoryManager > memory_manager=nullptr)
Default Constructor.
Factory for generating CPU backend functions.
Definition: NEFunctionFactory.h:42
LSTMParams & set_hidden_state_params(int32_t hidden_state_zero, float hidden_state_scale)
Set hidden state zero and scale parameters.
Definition: LSTMParams.h:196
ClampAttributes & max_val(const float &max_val)
Set the maximum clip value.
ImageAccessor(std::string filename, bool bgr=true, std::unique_ptr< IPreprocessor > preprocessor=nullptr)
Constructor.
Definition: GraphUtils.cpp:264
void run() override final
Run the kernels contained in the function.
void manage(IMemoryGroup *mg) override
Set backend tensor to be managed by a memory group.
bfloat16 & operator=(float v)
Assignment operator.
Definition: Bfloat16.h:100
bfloat16 & operator=(float v)
Assignment operator.
Definition: Bfloat16.h:123
TensorDescriptor configure_output(size_t idx) const override
Calculates output configuration.
void accept(INodeVisitor &v) override
Accepts a node visitor.
bool is_configured() const
Was the function successfully configured ?
Fused Depthwise Convolution Batch Normalization node.
Definition: FusedDepthwiseConvolutionBatchNormalizationNode.h:34
virtual T & at(size_t index) const
Reference to the element of the array located at the given index.
Definition: IArray.h:111
bool use_synthetic_type
Convert graph to a synthetic graph for a data type.
Definition: Types.h:93
void fill_tensor_zero(TensorType &tensor)
Definition: Utils.h:746
void fill_tensor_zero(TensorType &tensor)
Definition: Utils.h:762
StrategyHint
Strategies available to split a workload.
Definition: IScheduler.h:45
GenerateProposalsLayerNode(GenerateProposalsInfo &info)
Constructor.
Stream & operator=(const Stream &)=delete
Prevent instances of this class from being copied (As this class contains pointers)
long lround(T value)
Round floating-point value with half value rounding away from zero and cast to long.
Definition: ToolchainSupport.h:200
Specialized class to generate random non-zero FP16 values.
Definition: Utils.h:255
Specialized class to generate random non-zero FP16 values.
Definition: Utils.h:256
static Status validate(const ITensorInfo *input, const ITensorInfo *input_to_input_weights, const ITensorInfo *input_to_forget_weights, const ITensorInfo *input_to_cell_weights, const ITensorInfo *input_to_output_weights, const ITensorInfo *recurrent_to_input_weights, const ITensorInfo *recurrent_to_forget_weights, const ITensorInfo *recurrent_to_cell_weights, const ITensorInfo *recurrent_to_output_weights, const ITensorInfo *input_gate_bias, const ITensorInfo *forget_gate_bias, const ITensorInfo *cell_bias, const ITensorInfo *output_gate_bias, const ITensorInfo *cell_state_in, const ITensorInfo *output_state_in, const ITensorInfo *cell_state_out, const ITensorInfo *output_state_out)
Static function to check if given info will lead to a valid configuration of CLLSTMLayerQuantized.
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- Generated on Wed Sep 25 2024 16:13:19 for Compute Library by
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- 24.08.1
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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-
- Generated on Wed Sep 25 2024 16:13:19 for Compute Library by
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-
- Generated on Wed Sep 25 2024 16:13:19 for Compute Library by
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-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- 24.08.1
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-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- 24.08.1
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-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- 24.08.1
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-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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-
-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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- 24.08.1
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- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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-
- Generated on Wed Sep 25 2024 16:13:20 for Compute Library by
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+
+
+
+
+
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+
+
+
+
+
+
+
+
+|
+
+ 24.09
+
+ |
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+CpuSoftmax.h File Reference
+
+
+
+
+
+
+
+#include "arm_compute/core/TensorInfo.h"+
#include "arm_compute/runtime/IOperator.h"+
#include <memory>+
+Data Structures | |
| class | CpuSoftmax |
+Namespaces | |
| arm_compute | |
| Copyright (c) 2017-2024 Arm Limited. | |
| arm_compute::experimental | |
| arm_compute::experimental::op | |
+
+
+
diff --git a/latest/_cpu_sub_8h.xhtml b/latest/_cpu_sub_8h.xhtml
index c914ada6e88a17fdfc628f22334ca7f115f1ac83..38f4f917c3337cf56650b2ca2f7ab543030af7a0 100644
--- a/latest/_cpu_sub_8h.xhtml
+++ b/latest/_cpu_sub_8h.xhtml
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