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/*
* Copyright (c) 2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef SRC_CORE_HELPERS_POOLINGHELPERS_H
#define SRC_CORE_HELPERS_POOLINGHELPERS_H
#include "src/core/NEON/NEAsymm.h"
namespace arm_compute
{
namespace cpu
{
namespace
{
inline float calculate_avg_scale_pool3d(bool exclude_padding,
const Coordinates &id,
const int pool_size_x,
const int pool_size_y,
const int pool_size_z,
const int upper_bound_w,
const int upper_bound_h,
const int upper_bound_d,
const int pad_x,
const int pad_y,
const int pad_z,
const int stride_x,
const int stride_y,
const int stride_z)
{
// Based on NDHWC
int start_x = id[1] * stride_x - pad_x;
int start_y = id[2] * stride_y - pad_y;
int start_z = id[3] * stride_z - pad_z;
const int end_x = std::min(start_x + pool_size_x, upper_bound_w);
const int end_y = std::min(start_y + pool_size_y, upper_bound_h);
const int end_z = std::min(start_z + pool_size_z, upper_bound_d);
if (exclude_padding)
{
start_x = std::max(0, start_x);
start_y = std::max(0, start_y);
start_z = std::max(0, start_z);
}
return 1.f / ((end_y - start_y) * (end_x - start_x) * (end_z - start_z));
}
inline float calculate_avg_scale_pool2d(bool exclude_padding,
DataLayout data_layout,
const Coordinates &id,
const int pool_size_x,
const int pool_size_y,
const int upper_bound_w,
const int upper_bound_h,
const int pad_x,
const int pad_y,
const int stride_x,
const int stride_y)
{
const unsigned int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const unsigned int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
int start_x = id[idx_width] * stride_x - pad_x;
int start_y = id[idx_height] * stride_y - pad_y;
const int end_x = std::min(start_x + pool_size_x, upper_bound_w);
const int end_y = std::min(start_y + pool_size_y, upper_bound_h);
if (exclude_padding)
{
start_x = std::max(0, start_x);
start_y = std::max(0, start_y);
}
return 1.f / ((end_y - start_y) * (end_x - start_x));
}
template <typename T>
inline typename std::enable_if<std::is_same<T, int8_t>::value, int8_t>::type
quantize(float val, const UniformQuantizationInfo &info)
{
return quantize_qasymm8_signed(val, info);
}
template <typename T>
inline typename std::enable_if<std::is_same<T, uint8_t>::value, uint8_t>::type
quantize(float val, const UniformQuantizationInfo &info)
{
return quantize_qasymm8(val, info);
}
template <typename T>
inline T vcvtq_q32_f32(float32x4_t values);
template <>
inline uint32x4_t vcvtq_q32_f32(float32x4_t values)
{
return vcvtq_u32_f32(values);
}
template <>
inline int32x4_t vcvtq_q32_f32(float32x4_t values)
{
return vcvtq_s32_f32(values);
}
template <typename T>
inline float32x4_t vcvtq_f32_q32(T values);
template <>
inline float32x4_t vcvtq_f32_q32(uint32x4_t values)
{
return vcvtq_f32_u32(values);
}
template <>
inline float32x4_t vcvtq_f32_q32(int32x4_t values)
{
return vcvtq_f32_s32(values);
}
template <typename Tout>
inline Tout vrequantize_pooling_with_scale(const float32x4x4_t &acc,
const float quant_rescale,
const float scale_pooling,
const int32_t new_offset);
template <>
inline uint8x16_t vrequantize_pooling_with_scale(const float32x4x4_t &acc,
const float quant_rescale,
const float scale_pooling,
const int32_t new_offset)
{
const float new_scale = quant_rescale / scale_pooling;
return vquantize(acc, UniformQuantizationInfo(new_scale, new_offset));
}
template <>
inline int8x16_t vrequantize_pooling_with_scale(const float32x4x4_t &acc,
const float quant_rescale,
const float scale_pooling,
const int32_t new_offset)
{
const float new_scale = quant_rescale / scale_pooling;
return vquantize_signed(acc, UniformQuantizationInfo(new_scale, new_offset));
}
template <typename Tin, typename Tout>
inline Tout vrequantize_pooling(Tin vec1, Tin vec2, const UniformQuantizationInfo &requant_qinfo);
template <>
inline uint8x16_t vrequantize_pooling(uint8x8_t vec1, uint8x8_t vec2, const UniformQuantizationInfo &requant_qinfo)
{
const float32x4x4_t acc = {{
vcvtq_f32_u32(vmovl_u16(vget_low_u16(vmovl_u8((vec1))))),
vcvtq_f32_u32(vmovl_u16(vget_high_u16(vmovl_u8((vec1))))),
vcvtq_f32_u32(vmovl_u16(vget_low_u16(vmovl_u8((vec2))))),
vcvtq_f32_u32(vmovl_u16(vget_high_u16(vmovl_u8((vec2))))),
}};
return vquantize(acc, requant_qinfo);
}
template <>
inline int8x16_t vrequantize_pooling(int8x8_t vec1, int8x8_t vec2, const UniformQuantizationInfo &requant_qinfo)
{
const float32x4x4_t acc = {{
vcvtq_f32_s32(vmovl_s16(vget_low_s16(vmovl_s8((vec1))))),
vcvtq_f32_s32(vmovl_s16(vget_high_s16(vmovl_s8((vec1))))),
vcvtq_f32_s32(vmovl_s16(vget_low_s16(vmovl_s8((vec2))))),
vcvtq_f32_s32(vmovl_s16(vget_high_s16(vmovl_s8((vec2))))),
}};
return vquantize_signed(acc, requant_qinfo);
}
template <typename T>
inline T vrequantize_pooling(T &vec, const UniformQuantizationInfo &requant_qinfo);
template <>
inline uint8x8_t vrequantize_pooling(uint8x8_t &vec, const UniformQuantizationInfo &requant_qinfo)
{
const float32x4x2_t acc = {{
vcvtq_f32_u32(vmovl_u16(vget_low_u16(vmovl_u8((vec))))),
vcvtq_f32_u32(vmovl_u16(vget_high_u16(vmovl_u8((vec))))),
}};
return vquantize(acc, requant_qinfo);
}
template <>
inline int8x8_t vrequantize_pooling(int8x8_t &vec, const UniformQuantizationInfo &requant_qinfo)
{
const float32x4x2_t acc = {{
vcvtq_f32_s32(vmovl_s16(vget_low_s16(vmovl_s8((vec))))),
vcvtq_f32_s32(vmovl_s16(vget_high_s16(vmovl_s8((vec))))),
}};
return vquantize_signed(acc, requant_qinfo);
}
} // namespace
} // namespace cpu
} // namespace arm_compute
#endif /* SRC_CORE_HELPERS_POOLINGHELPERS_H */
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