Compute Library
 21.11
CpuConcatenateHeightKernel.cpp
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25 
26 #include "arm_compute/core/Error.h"
30 #include "arm_compute/core/Utils.h"
33 #include "src/core/NEON/NEAsymm.h"
37 
38 #include <cstdint>
39 
40 namespace arm_compute
41 {
42 namespace cpu
43 {
44 namespace kernels
45 {
46 namespace
47 {
48 Status validate_arguments(const ITensorInfo *src, unsigned int height_offset, const ITensorInfo *dst)
49 {
51  // Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use CPU FP16 instructions.
54  ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(Window::DimX) != dst->dimension(Window::DimX));
55  ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(Window::DimY) + height_offset > dst->dimension(Window::DimY));
56  for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i)
57  {
58  ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(i) != dst->dimension(i));
59  }
60 
61  return Status{};
62 }
63 } // namespace
64 
65 void CpuConcatenateHeightKernel::configure(const ITensorInfo *src, unsigned int height_offset, ITensorInfo *dst)
66 {
67  ARM_COMPUTE_UNUSED(src);
69  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, height_offset, dst));
70 
71  _height_offset = height_offset;
72 
73  // Configure kernel window
74  Window win = calculate_max_window(*dst, Steps());
75  ICpuKernel::configure(win);
76 }
77 
78 Status CpuConcatenateHeightKernel::validate(const ITensorInfo *src, unsigned int height_offset, const ITensorInfo *dst)
79 {
80  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, height_offset, dst));
81  return Status{};
82 }
83 
85 {
86  ARM_COMPUTE_UNUSED(info);
89 
90  const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
91  auto dst = tensors.get_tensor(TensorType::ACL_DST);
92 
93  // Offset destination pointer to the correct position
94  uint8_t *dst_ptr = dst->buffer() + dst->info()->offset_first_element_in_bytes() + _height_offset * dst->info()->strides_in_bytes()[Window::DimY];
95 
96  const auto window_start_x = static_cast<int>(window.x().start());
97  const auto window_end_x = static_cast<int>(window.x().end()) * static_cast<int>(dst->info()->element_size());
98  const int window_step_x = 16;
99 
100  Window win{ window };
101  win.set(Window::DimX, Window::Dimension(0, 1, 1));
102  win.set(Window::DimY, Window::Dimension(0, src->info()->tensor_shape().y(), 1));
103 
104  // Create iterators
105  Iterator src_it(src, win);
106  Iterator dst_it(dst, win);
107 
108  const DataType dt = src->info()->data_type();
109  const UniformQuantizationInfo &src_qinfo = src->info()->quantization_info().uniform();
110  const UniformQuantizationInfo &dst_qinfo = dst->info()->quantization_info().uniform();
111  if(dt == DataType::QASYMM8 && src_qinfo != dst_qinfo)
112  {
113  execute_window_loop(win, [&](const Coordinates &)
114  {
115  int x = window_start_x;
116  for(; x <= (window_end_x - window_step_x); x += window_step_x)
117  {
118  vst1q_u8(dst_ptr + dst_it.offset() + x, vquantize(vdequantize(vld1q_u8(src_it.ptr() + x), src_qinfo), dst_qinfo));
119  }
120 
121  // Compute left-over elements
122  for(; x < window_end_x; ++x)
123  {
124  *(dst_ptr + dst_it.offset() + x) = quantize_qasymm8(dequantize_qasymm8(*(src_it.ptr() + x), src_qinfo), dst_qinfo);
125  }
126 
127  },
128  src_it, dst_it);
129  }
130  else if(dt == DataType::QASYMM8_SIGNED && src_qinfo != dst_qinfo)
131  {
132  execute_window_loop(win, [&](const Coordinates &)
133  {
134  int x = window_start_x;
135  for(; x <= (window_end_x - window_step_x); x += window_step_x)
136  {
137  vst1q_s8(reinterpret_cast<int8_t *>(dst_ptr + dst_it.offset() + x),
138  vquantize_signed(vdequantize(vld1q_s8(reinterpret_cast<int8_t *>(src_it.ptr()) + x), src_qinfo), dst_qinfo));
139  }
140 
141  // Compute left-over elements
142  for(; x < window_end_x; ++x)
143  {
144  *(dst_ptr + dst_it.offset() + x) = quantize_qasymm8_signed(dequantize_qasymm8_signed(*(src_it.ptr() + x), src_qinfo), dst_qinfo);
145  }
146  },
147  src_it, dst_it);
148  }
149  else
150  {
151  execute_window_loop(win, [&](const Coordinates &)
152  {
153  const auto in_ptr = src_it.ptr();
154  const auto out_ptr = dst_ptr + dst_it.offset();
155 
156  int x = window_start_x;
157  for(; x <= (window_end_x - window_step_x); x += window_step_x)
158  {
159  wrapper::vstore(out_ptr + x, wrapper::vloadq(in_ptr + x));
160  }
161 
162  // Compute left-over elements
163  for(; x < window_end_x; ++x)
164  {
165  *(out_ptr + x) = *(in_ptr + x);
166  }
167  },
168  src_it, dst_it);
169  }
170 }
171 
173 {
174  return "CpuConcatenateHeightKernel";
175 }
176 } // namespace kernels
177 } // namespace cpu
178 } // namespace arm_compute
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
float dequantize_qasymm8(uint8_t value, const INFO_TYPE &qinfo)
Dequantize a value given an unsigned 8-bit asymmetric quantization scheme.
uint8_t quantize_qasymm8(float value, const INFO_TYPE &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)
Quantize a value given an unsigned 8-bit asymmetric quantization scheme.
float32x4x2_t vdequantize(const uint8x8_t &qv, const UniformQuantizationInfo &qi)
Dequantize a neon vector holding 8 quantized values.
Definition: NEAsymm.h:415
uint8x16_t vloadq(const uint8_t *ptr)
Definition: load.h:58
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override
Execute the kernel on the passed window.
Store the tensor&#39;s metadata.
Definition: ITensorInfo.h:40
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:455
Quantization info when assuming per layer quantization.
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
SimpleTensor< float > src
Definition: DFT.cpp:155
Copyright (c) 2017-2021 Arm Limited.
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Definition: Validate.h:159
const char * name() const override
Name of the kernel.
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
int8_t quantize_qasymm8_signed(float value, const INFO_TYPE &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)
Quantize a value given a signed 8-bit asymmetric quantization scheme.
quantized, asymmetric fixed-point 8-bit number unsigned
Class to describe a number of elements in each dimension.
Definition: Steps.h:40
Coordinates of an item.
Definition: Coordinates.h:37
virtual uint8_t * buffer() const =0
Interface to be implemented by the child class to return a pointer to CPU memory. ...
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
static constexpr size_t DimY
Alias for dimension 1 also known as Y dimension.
Definition: Window.h:45
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:158
static Status validate(const ITensorInfo *src, unsigned int height_offset, const ITensorInfo *dst)
Static function to check if given info will lead to a valid configuration.
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)
Definition: Validate.h:541
void configure(const ITensorInfo *src, unsigned int height_offset, ITensorInfo *dst)
Configure kernel for a given list of arguments.
uint8x8_t vquantize(const float32x4x2_t &qv, const UniformQuantizationInfo &qi)
Quantize a neon vector holding 8 floating point values.
Definition: NEAsymm.h:602
void vstore(uint8_t *ptr, uint8x8_t val)
Definition: store.h:39
float dequantize_qasymm8_signed(int8_t value, const INFO_TYPE &qinfo)
Dequantize a value given a signed 8-bit asymmetric quantization scheme.
Tensor packing service.
Definition: ITensorPack.h:39
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:157
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
quantized, asymmetric fixed-point 8-bit number signed
Includes all wrapper headers at once.
int8x8_t vquantize_signed(const float32x4x2_t &qv, const UniformQuantizationInfo &qi)
Quantize a neon vector holding 8 floating point values.
Definition: NEAsymm.h:630
constexpr size_t offset() const
Return the offset in bytes from the first element to the current position of the iterator.
Definition: Helpers.inl:134
constexpr int end() const
Return the end of the dimension.
Definition: Window.h:99
static constexpr size_t num_max_dimensions
Number of dimensions the tensor has.
Definition: Dimensions.h:46
Iterator updated by execute_window_loop for each window element.
Definition: Helpers.h:46
DataType
Available data types.
Definition: Types.h:79
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
constexpr const Dimension & x() const
Alias to access the first dimension of the window.
Definition: Window.h:145