Compute Library
 22.11
impl.cpp
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25 
30 
31 namespace arm_compute
32 {
33 namespace cpu
34 {
35 template <typename T>
36 void neon_range_function(ITensor *output, float start, float step, const Window &window)
37 {
38  /** SIMD vector tag type. */
40 
41  const auto step_vec = wrapper::vdup_n(static_cast<T>(step), ExactTagType{});
42  const auto start_vec = wrapper::vdup_n(static_cast<T>(start), ExactTagType{});
43  auto id_vec = wrapper::vdup_n(static_cast<T>(0.f), ExactTagType{});
44 
45  const auto window_start_x = static_cast<int>(window.x().start());
46  const auto window_end_x = static_cast<int>(window.x().end());
47  const int window_step_x = 16 / sizeof(T);
48 
49  Window win{ window };
50  win.set(Window::DimX, Window::Dimension(0, 1, 1));
51  Iterator output_it(output, win);
52 
53  execute_window_loop(win, [&](const Coordinates &)
54  {
55  int x = window_start_x;
56  const auto out_ptr = reinterpret_cast<T *>(output_it.ptr());
57  for(; x <= (window_end_x - window_step_x); x += window_step_x)
58  {
59  for(int count = 0; count < window_step_x; ++count)
60  {
61  id_vec = wrapper::vsetlane(static_cast<T>(x + count), id_vec, count);
62  }
63 
64  // start + step * id
65  const auto res_vec = wrapper::vmla(start_vec, id_vec, step_vec);
66  wrapper::vstore(out_ptr + x, res_vec);
67  }
68 
69  // Compute left-over elements
70  for(; x < window_end_x; ++x)
71  {
72  const auto res = start + x * step;
73  *(out_ptr + x) = res;
74  }
75 
76  },
77  output_it);
78 }
79 
80 template void neon_range_function<uint8_t>(ITensor *output, float start, float step, const Window &window);
81 template void neon_range_function<uint16_t>(ITensor *output, float start, float step, const Window &window);
82 template void neon_range_function<uint32_t>(ITensor *output, float start, float step, const Window &window);
83 template void neon_range_function<int8_t>(ITensor *output, float start, float step, const Window &window);
84 template void neon_range_function<int16_t>(ITensor *output, float start, float step, const Window &window);
85 template void neon_range_function<int32_t>(ITensor *output, float start, float step, const Window &window);
86 template void neon_range_function<float32_t>(ITensor *output, float start, float step, const Window &window);
87 
88 #if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS)
89 template void neon_range_function<float16_t>(ITensor *output, float start, float step, const Window &window);
90 #endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */
91 
92 } // namespace cpu
93 } // namespace arm_compute
template void neon_range_function< float32_t >(ITensor *output, float start, float step, const Window &window)
template void neon_range_function< int32_t >(ITensor *output, float start, float step, const Window &window)
Describe one of the image&#39;s dimensions with a start, end and step.
Definition: Window.h:79
void neon_range_function(ITensor *output, float start, float step, const Window &window)
Definition: impl.cpp:36
Interface for CPU tensor.
Definition: ITensor.h:36
Copyright (c) 2017-2022 Arm Limited.
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
Definition: Window.h:43
Coordinates of an item.
Definition: Coordinates.h:37
Create the appropriate SIMD vector given its type and size in terms of bits.
Definition: traits.h:92
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
uint8x8_t vsetlane(const uint8_t value, const uint8x8_t vector, const unsigned int lane)
Definition: setlane.h:91
template void neon_range_function< int16_t >(ITensor *output, float start, float step, const Window &window)
template void neon_range_function< uint32_t >(ITensor *output, float start, float step, const Window &window)
template void neon_range_function< int8_t >(ITensor *output, float start, float step, const Window &window)
constexpr int step
Definition: fp32.cpp:35
void vstore(uint8_t *ptr, uint8x8_t val)
Definition: store.h:39
uint8x8_t vdup_n(uint8_t value, traits::vector_64_tag)
Definition: dup_n.h:41
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
Includes all wrapper headers at once.
uint8x8_t vmla(const uint8x8_t &a, const uint8x8_t &b, const uint8x8_t &c)
Definition: mla.h:46
constexpr int end() const
Return the end of the dimension.
Definition: Window.h:102
Iterator updated by execute_window_loop for each window element.
Definition: Helpers.h:46
template void neon_range_function< uint8_t >(ITensor *output, float start, float step, const Window &window)
constexpr int start() const
Return the start of the dimension.
Definition: Window.h:97
Describe a multidimensional execution window.
Definition: Window.h:39
template void neon_range_function< uint16_t >(ITensor *output, float start, float step, const Window &window)
constexpr const Dimension & x() const
Alias to access the first dimension of the window.
Definition: Window.h:159