| /* |
| * 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 */ |