/* * 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 inline typename std::enable_if::value, int8_t>::type quantize(float val, const UniformQuantizationInfo &info) { return quantize_qasymm8_signed(val, info); } template inline typename std::enable_if::value, uint8_t>::type quantize(float val, const UniformQuantizationInfo &info) { return quantize_qasymm8(val, info); } template 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 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 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 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 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 */