Compute Library
 22.02
CpuFloorKernel.cpp
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2  * Copyright (c) 2017-2022 Arm Limited.
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25 
30 #include "src/core/CPP/Validate.h"
33 
36 
37 namespace arm_compute
38 {
39 namespace cpu
40 {
41 namespace kernels
42 {
43 namespace
44 {
45 static const std::vector<CpuFloorKernel::FloorKernel> available_kernels =
46 {
47  {
48  "neon_fp16_floor",
49  [](const DataTypeISASelectorData & data) { return data.dt == DataType::F16 && data.isa.fp16; },
51  },
52  {
53  "neon_fp32_floor",
54  [](const DataTypeISASelectorData & data) { return data.dt == DataType::F32; },
56  }
57 };
58 
59 Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst)
60 {
62 
63  const auto *uk = CpuFloorKernel::get_implementation(DataTypeISASelectorData{ src->data_type(), CPUInfo::get().get_isa() });
64  ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr);
65 
66  // Validate in case of configured output
67  if(dst->total_size() > 0)
68  {
71  }
72 
73  return Status{};
74 }
75 } // namespace
76 
78 {
80  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst));
81 
82  auto_init_if_empty(*dst, src->tensor_shape(), 1, src->data_type());
83 
86 
87  _run_method = uk->ukernel;
88  _name = std::string("CpuFloorKernel").append("/").append(uk->name);
89 
90  // Configure kernel window
91  const Window win = calculate_max_window(*src, Steps());
92 
93  ICPPKernel::configure(win);
94 }
95 
97 {
98  ARM_COMPUTE_UNUSED(dst);
99  ARM_COMPUTE_ERROR_ON(!bool(validate_arguments(src, dst)));
100 
101  Window win;
103  return win;
104 }
105 
107 {
108  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
109  return Status{};
110 }
111 
113 {
114  ARM_COMPUTE_UNUSED(info);
117 
118  ARM_COMPUTE_ERROR_ON(tensors.empty());
119  ARM_COMPUTE_ERROR_ON(_run_method == nullptr);
120 
121  const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC);
122  ITensor *dst = tensors.get_tensor(TensorType::ACL_DST);
123  const auto len = static_cast<int>(window.x().end()) - static_cast<int>(window.x().start());
124 
125  Window win{ window };
126  win.set(Window::DimX, Window::Dimension(0, 1, 1));
127 
128  Iterator src_it(src, win);
129  Iterator dst_it(dst, win);
130 
131  execute_window_loop(win, [&](const Coordinates &)
132  {
133  _run_method(src_it.ptr(), dst_it.ptr(), len);
134  },
135  src_it, dst_it);
136 }
137 
138 const char *CpuFloorKernel::name() const
139 {
140  return _name.c_str();
141 }
142 
143 const std::vector<CpuFloorKernel::FloorKernel> &CpuFloorKernel::get_available_kernels()
144 {
145  return available_kernels;
146 }
147 
148 } // namespace kernels
149 } // namespace cpu
150 } // namespace arm_compute
Window infer_window(const ITensorInfo *src, const ITensorInfo *dst)
Infer execution window.
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps, bool skip_border, BorderSize border_size)
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
static const auto * get_implementation(const SelectorType &selector, KernelSelectionType selection_type=KernelSelectionType::Supported)
Micro-kernel selector.
Definition: ICpuKernel.h:53
#define REGISTER_FP16_NEON(func_name)
Definition: Registrars.h:48
static Status validate(const ITensorInfo *src, const ITensorInfo *dst)
Static function to check if given info will lead to a valid configuration.
bool empty() const
Checks if pack is empty.
Definition: ITensorPack.cpp:80
static const std::vector< FloorKernel > & get_available_kernels()
#define REGISTER_FP32_NEON(func_name)
Definition: Registrars.h:74
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
virtual DataType data_type() const =0
Data type used for each element of the tensor.
1 channel, 1 F32 per channel
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
Store the tensor&#39;s metadata.
Definition: ITensorInfo.h:40
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:455
Describe one of the image&#39;s dimensions with a start, end and step.
Definition: Window.h:77
Status class.
Definition: Error.h:52
#define ARM_COMPUTE_RETURN_ERROR_ON(cond)
If the condition is true, an error is returned.
Definition: Error.h:296
Interface for CPU tensor.
Definition: ITensor.h:36
void use_tensor_dimensions(const TensorShape &shape, size_t first_dimension=Window::DimX)
Use the tensor&#39;s dimensions to fill the window dimensions.
Definition: Window.inl:276
SimpleTensor< float > src
Definition: DFT.cpp:155
Copyright (c) 2017-2021 Arm Limited.
1 channel, 1 F16 per channel
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Definition: Validate.h:159
const ITensor * get_const_tensor(int id) const
Get constant tensor of a given id.
Definition: ITensorPack.cpp:54
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
Definition: Window.h:43
#define ARM_COMPUTE_UNUSED(...)
To avoid unused variables warnings.
Definition: Error.h:152
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
Class to describe a number of elements in each dimension.
Definition: Steps.h:40
Coordinates of an item.
Definition: Coordinates.h:37
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...
constexpr uint8_t * ptr() const
Return a pointer to the current pixel.
Definition: Helpers.inl:139
void set(size_t dimension, const Dimension &dim)
Set the values of a given dimension.
Definition: Window.inl:49
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:915
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
ITensor * get_tensor(int id)
Get tensor of a given id from the pac.
Definition: ITensorPack.cpp:64
Information about executing thread and CPU.
Definition: CPPTypes.h:169
void fp16_neon_floor(const void *src, void *dst, int len)
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(...)
Definition: Validate.h:439
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)
Definition: Validate.h:541
Tensor packing service.
Definition: ITensorPack.h:39
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:157
void fp32_neon_floor(const void *src, void *dst, int len)
Definition: fp32.cpp:37
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override
Execute the kernel on the passed window.
void execute_window_loop(const Window &w, L &&lambda_function, Ts &&... iterators)
Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...
Definition: Helpers.inl:77
static CPUInfo & get()
Access the KernelLibrary singleton.
Definition: CPPTypes.cpp:40
const char * name() const override
Name of the kernel.
void configure(const ITensorInfo *src, ITensorInfo *dst)
Configure kernel for a given list of arguments.
constexpr int end() const
Return the end of the dimension.
Definition: Window.h:99
Iterator updated by execute_window_loop for each window element.
Definition: Helpers.h:46
constexpr int start() const
Return the start of the dimension.
Definition: Window.h:94
Describe a multidimensional execution window.
Definition: Window.h:39
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:201
cpuinfo::CpuIsaInfo get_isa() const
Gets the current cpu&#39;s ISA information.
Definition: CPPTypes.cpp:114
constexpr const Dimension & x() const
Alias to access the first dimension of the window.
Definition: Window.h:145