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Diffstat (limited to 'arm_compute/core/NEON/NEAsymm.h')
| -rw-r--r-- | arm_compute/core/NEON/NEAsymm.h | 760 |
1 files changed, 0 insertions, 760 deletions
diff --git a/arm_compute/core/NEON/NEAsymm.h b/arm_compute/core/NEON/NEAsymm.h deleted file mode 100644 index e4f4250d16..0000000000 --- a/arm_compute/core/NEON/NEAsymm.h +++ /dev/null @@ -1,760 +0,0 @@ -/* - * Copyright (c) 2017-2019 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 ARM_COMPUTE_NEASYMM_H -#define ARM_COMPUTE_NEASYMM_H - -#include "arm_compute/core/NEON/NEMath.h" -#include <arm_neon.h> - -namespace arm_compute -{ -using qasymm8x8_t = uint8x8_t; /**< 8 bit quantized asymmetric vector with 8 elements */ -using qasymm8x8x2_t = uint8x8x2_t; /**< 8 bit quantized asymmetric vector with 16 elements */ -using qasymm8x8x3_t = uint8x8x3_t; /**< 8 bit quantized asymmetric vector with 24 elements */ -using qasymm8x8x4_t = uint8x8x4_t; /**< 8 bit quantized asymmetric vector with 32 elements */ -using qasymm8x16_t = uint8x16_t; /**< 8 bit quantized asymmetric vector with 16 elements */ - -using qasymm8x8_signed_t = int8x8_t; /**< 8 bit quantized signed asymmetric vector with 8 elements */ -using qasymm8x8x2_signed_t = int8x8x2_t; /**< 8 bit quantized signed asymmetric vector with 16 elements */ -using qasymm8x8x3_signed_t = int8x8x3_t; /**< 8 bit quantized signed asymmetric vector with 24 elements */ -using qasymm8x8x4_signed_t = int8x8x4_t; /**< 8 bit quantized signed asymmetric vector with 32 elements */ -using qasymm8x16_signed_t = int8x16_t; /**< 8 bit quantized signed asymmetric vector with 16 elements */ - -/** Perform a multiply-accumulate on all 16 components of a QASYMM8 vector - * - * vd*vs + vo - * - * @param[in] vd Input vector value in QASYMM8 format - * @param[in] vs Vector multiplier in F32 format. The multiplier value must be duplicated across all four lanes. - * @param[in] vo Vector addend in F32 format. The addend value must be duplicated across all four lanes. - * - * @return A 16-component vector in QASYMM8 format, saturated to fit - */ -uint8x16_t vmlaq_qasymm8(qasymm8x16_t vd, float32x4_t vs, float32x4_t vo); - -/** Perform a multiply-accumulate on all 16 components of a QASYMM8_SIGNED vector - * - * vd*vs + vo - * - * @param[in] vd Input vector value in QASYMM8_SIGNED format - * @param[in] vs Vector multiplier in F32 format. The multiplier value must be duplicated across all four lanes. - * @param[in] vo Vector addend in F32 format. The addend value must be duplicated across all four lanes. - * - * @return A 16-component vector in QASYMM8_SIGNED format, saturated to fit - */ -int8x16_t vmlaq_qasymm8_signed(qasymm8x16_signed_t vd, float32x4_t vs, float32x4_t vo); - -/** Performs final quantization step on 16 elements - * - * @tparam is_bounded_relu Specified if a fused bounded relu should be applied - * - * @param in_s32 Input to be quantized. - * @param result_fixedpoint_multiplier Result multiplier parameter - * @param result_shift Result shift parameter - * @param result_offset_after_shift_s32 Result offset parameter - * @param min_u8 Relu lower bound - * @param max_u8 Relu upper bound - * - * @return Quantized values - */ -template <bool is_bounded_relu> -uint8x16_t finalize_quantization(int32x4x4_t &in_s32, - int result_fixedpoint_multiplier, - int32_t result_shift, - int32x4_t result_offset_after_shift_s32, - uint8x16_t min_u8, - uint8x16_t max_u8) -{ - const static int32x4_t zero_s32 = vdupq_n_s32(0); - - if(result_shift < 0) - { - in_s32.val[0] = vmulq_n_s32(in_s32.val[0], (1 << (-result_shift))); - in_s32.val[1] = vmulq_n_s32(in_s32.val[1], (1 << (-result_shift))); - in_s32.val[2] = vmulq_n_s32(in_s32.val[2], (1 << (-result_shift))); - in_s32.val[3] = vmulq_n_s32(in_s32.val[3], (1 << (-result_shift))); - - in_s32.val[0] = vqrdmulhq_n_s32(in_s32.val[0], result_fixedpoint_multiplier); - in_s32.val[1] = vqrdmulhq_n_s32(in_s32.val[1], result_fixedpoint_multiplier); - in_s32.val[2] = vqrdmulhq_n_s32(in_s32.val[2], result_fixedpoint_multiplier); - in_s32.val[3] = vqrdmulhq_n_s32(in_s32.val[3], result_fixedpoint_multiplier); - } - else - { - // Fixed point multiplication with vector saturating rounding doubling multiply high with scalar - in_s32.val[0] = vqrdmulhq_n_s32(in_s32.val[0], result_fixedpoint_multiplier); - in_s32.val[1] = vqrdmulhq_n_s32(in_s32.val[1], result_fixedpoint_multiplier); - in_s32.val[2] = vqrdmulhq_n_s32(in_s32.val[2], result_fixedpoint_multiplier); - in_s32.val[3] = vqrdmulhq_n_s32(in_s32.val[3], result_fixedpoint_multiplier); - - // Round to the nearest division by a power-of-two using result_shift_s32 - in_s32.val[0] = rounding_divide_by_pow2(in_s32.val[0], result_shift); - in_s32.val[1] = rounding_divide_by_pow2(in_s32.val[1], result_shift); - in_s32.val[2] = rounding_divide_by_pow2(in_s32.val[2], result_shift); - in_s32.val[3] = rounding_divide_by_pow2(in_s32.val[3], result_shift); - } - - // Add the offset terms - in_s32.val[0] = vaddq_s32(in_s32.val[0], result_offset_after_shift_s32); - in_s32.val[1] = vaddq_s32(in_s32.val[1], result_offset_after_shift_s32); - in_s32.val[2] = vaddq_s32(in_s32.val[2], result_offset_after_shift_s32); - in_s32.val[3] = vaddq_s32(in_s32.val[3], result_offset_after_shift_s32); - - // Saturate negative values - in_s32.val[0] = vmaxq_s32(in_s32.val[0], zero_s32); - in_s32.val[1] = vmaxq_s32(in_s32.val[1], zero_s32); - in_s32.val[2] = vmaxq_s32(in_s32.val[2], zero_s32); - in_s32.val[3] = vmaxq_s32(in_s32.val[3], zero_s32); - - // Convert S32 to S16 - const int16x8x2_t in_s16 = - { - { - vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])), - vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3])) - } - }; - - // Convert S16 to U8 - uint8x16_t out_u8 = vcombine_u8(vqmovun_s16(in_s16.val[0]), vqmovun_s16(in_s16.val[1])); - - if(is_bounded_relu) - { - out_u8 = vmaxq_u8(out_u8, min_u8); - out_u8 = vminq_u8(out_u8, max_u8); - } - - return out_u8; -} - -/** Performs final quantization step on 16 elements - * - * @tparam is_bounded_relu Specified if a fused bounded relu should be applied - * - * @param in_s32 Input to be quantized. - * @param result_fixedpoint_multiplier Result multiplier parameter - * @param result_shift Result shift parameter - * @param result_offset_after_shift_s32 Result offset parameter - * @param min_s8 Relu lower bound - * @param max_s8 Relu upper bound - * - * @return Quantized values - */ -template <bool is_bounded_relu> -int8x16_t finalize_quantization(int32x4x4_t &in_s32, - int result_fixedpoint_multiplier, - int32_t result_shift, - int32x4_t result_offset_after_shift_s32, - int8x16_t min_s8, - int8x16_t max_s8) -{ - if(result_shift < 0) - { - in_s32.val[0] = vmulq_n_s32(in_s32.val[0], (1 << (-result_shift))); - in_s32.val[1] = vmulq_n_s32(in_s32.val[1], (1 << (-result_shift))); - in_s32.val[2] = vmulq_n_s32(in_s32.val[2], (1 << (-result_shift))); - in_s32.val[3] = vmulq_n_s32(in_s32.val[3], (1 << (-result_shift))); - - in_s32.val[0] = vqrdmulhq_n_s32(in_s32.val[0], result_fixedpoint_multiplier); - in_s32.val[1] = vqrdmulhq_n_s32(in_s32.val[1], result_fixedpoint_multiplier); - in_s32.val[2] = vqrdmulhq_n_s32(in_s32.val[2], result_fixedpoint_multiplier); - in_s32.val[3] = vqrdmulhq_n_s32(in_s32.val[3], result_fixedpoint_multiplier); - } - else - { - // Fixed point multiplication with vector saturating rounding doubling multiply high with scalar - in_s32.val[0] = vqrdmulhq_n_s32(in_s32.val[0], result_fixedpoint_multiplier); - in_s32.val[1] = vqrdmulhq_n_s32(in_s32.val[1], result_fixedpoint_multiplier); - in_s32.val[2] = vqrdmulhq_n_s32(in_s32.val[2], result_fixedpoint_multiplier); - in_s32.val[3] = vqrdmulhq_n_s32(in_s32.val[3], result_fixedpoint_multiplier); - - // Round to the nearest division by a power-of-two using result_shift_s32 - in_s32.val[0] = rounding_divide_by_pow2(in_s32.val[0], result_shift); - in_s32.val[1] = rounding_divide_by_pow2(in_s32.val[1], result_shift); - in_s32.val[2] = rounding_divide_by_pow2(in_s32.val[2], result_shift); - in_s32.val[3] = rounding_divide_by_pow2(in_s32.val[3], result_shift); - } - - // Add the offset terms - in_s32.val[0] = vaddq_s32(in_s32.val[0], result_offset_after_shift_s32); - in_s32.val[1] = vaddq_s32(in_s32.val[1], result_offset_after_shift_s32); - in_s32.val[2] = vaddq_s32(in_s32.val[2], result_offset_after_shift_s32); - in_s32.val[3] = vaddq_s32(in_s32.val[3], result_offset_after_shift_s32); - - // Convert S32 to S16 - const int16x8x2_t in_s16 = - { - { - vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])), - vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3])) - } - }; - - // Convert S16 to S8 - int8x16_t out_s8 = vcombine_s8(vqmovn_s16(in_s16.val[0]), vqmovn_s16(in_s16.val[1])); - - if(is_bounded_relu) - { - out_s8 = vmaxq_s8(out_s8, min_s8); - out_s8 = vminq_s8(out_s8, max_s8); - } - - return out_s8; -} - -/** Performs final quantization step on 16 elements for symmetric quantization - * - * @tparam is_bounded_relu Specified if a fused bounded relu should be applied - * - * @param in_s32 Input to be quantized. - * @param result_fixedpoint_multiplier Result multiplier parameter - * @param result_shift Result shift parameter - * @param result_offset_after_shift_s32 Result offset parameter - * @param min_s8 Relu lower bound - * @param max_s8 Relu upper bound - * - * @return Quantized values - */ -template <bool is_bounded_relu> -inline int8x16_t finalize_quantization_symm(int32x4x4_t &in_s32, - const int32x4x4_t &result_fixedpoint_multiplier, - const int32x4x4_t &result_shift, - const int32x4_t &result_offset_after_shift_s32, - const int8x16_t &min_s8, - const int8x16_t &max_s8) -{ - const static int32x4_t one_s32 = vdupq_n_s32(1); - - // Fixed point multiplication with vector saturating rounding doubling multiply high with scalar - int32x4x4_t res_shift_gt0 = - { - vqrdmulhq_s32(in_s32.val[0], result_fixedpoint_multiplier.val[0]), - vqrdmulhq_s32(in_s32.val[1], result_fixedpoint_multiplier.val[1]), - vqrdmulhq_s32(in_s32.val[2], result_fixedpoint_multiplier.val[2]), - vqrdmulhq_s32(in_s32.val[3], result_fixedpoint_multiplier.val[3]), - }; - // Round to the nearest division by a power-of-two using result_shift_s32 - res_shift_gt0.val[0] = rounding_divide_by_pow2(res_shift_gt0.val[0], result_shift.val[0]); - res_shift_gt0.val[1] = rounding_divide_by_pow2(res_shift_gt0.val[1], result_shift.val[1]); - res_shift_gt0.val[2] = rounding_divide_by_pow2(res_shift_gt0.val[2], result_shift.val[2]); - res_shift_gt0.val[3] = rounding_divide_by_pow2(res_shift_gt0.val[3], result_shift.val[3]); - - int32x4x4_t res_shift_lt0 = - { - vmulq_s32(in_s32.val[0], vshlq_s32(one_s32, vnegq_s32(result_shift.val[0]))), - vmulq_s32(in_s32.val[1], vshlq_s32(one_s32, vnegq_s32(result_shift.val[1]))), - vmulq_s32(in_s32.val[2], vshlq_s32(one_s32, vnegq_s32(result_shift.val[2]))), - vmulq_s32(in_s32.val[3], vshlq_s32(one_s32, vnegq_s32(result_shift.val[3]))), - }; - res_shift_lt0.val[0] = vqrdmulhq_s32(res_shift_lt0.val[0], result_fixedpoint_multiplier.val[0]); - res_shift_lt0.val[1] = vqrdmulhq_s32(res_shift_lt0.val[1], result_fixedpoint_multiplier.val[1]); - res_shift_lt0.val[2] = vqrdmulhq_s32(res_shift_lt0.val[2], result_fixedpoint_multiplier.val[2]); - res_shift_lt0.val[3] = vqrdmulhq_s32(res_shift_lt0.val[3], result_fixedpoint_multiplier.val[3]); - - // Select result depending on shift value - const uint32x4x4_t mask_lt0 = - { -#ifdef __aarch64__ - vcltzq_s32(result_shift.val[0]), - vcltzq_s32(result_shift.val[1]), - vcltzq_s32(result_shift.val[2]), - vcltzq_s32(result_shift.val[3]), -#else //__aarch64__ - vcltq_s32(result_shift.val[0], vdupq_n_s32(0)), - vcltq_s32(result_shift.val[1], vdupq_n_s32(0)), - vcltq_s32(result_shift.val[2], vdupq_n_s32(0)), - vcltq_s32(result_shift.val[3], vdupq_n_s32(0)), -#endif //__aarch64__ - }; - - in_s32.val[0] = vbslq_s32(mask_lt0.val[0], res_shift_lt0.val[0], res_shift_gt0.val[0]); - in_s32.val[1] = vbslq_s32(mask_lt0.val[1], res_shift_lt0.val[1], res_shift_gt0.val[1]); - in_s32.val[2] = vbslq_s32(mask_lt0.val[2], res_shift_lt0.val[2], res_shift_gt0.val[2]); - in_s32.val[3] = vbslq_s32(mask_lt0.val[3], res_shift_lt0.val[3], res_shift_gt0.val[3]); - - // Add the offset terms - in_s32.val[0] = vaddq_s32(in_s32.val[0], result_offset_after_shift_s32); - in_s32.val[1] = vaddq_s32(in_s32.val[1], result_offset_after_shift_s32); - in_s32.val[2] = vaddq_s32(in_s32.val[2], result_offset_after_shift_s32); - in_s32.val[3] = vaddq_s32(in_s32.val[3], result_offset_after_shift_s32); - - // Convert S32 to S16 - const int16x8x2_t in_s16 = - { - { - vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])), - vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3])) - } - }; - - // Convert S16 to S8 - int8x16_t out_s8 = vcombine_s8(vqmovn_s16(in_s16.val[0]), vqmovn_s16(in_s16.val[1])); - - if(is_bounded_relu) - { - out_s8 = vmaxq_s8(out_s8, min_s8); - out_s8 = vminq_s8(out_s8, max_s8); - } - - return out_s8; -} - -/** Performs final quantization step on single element - * - * @tparam is_bounded_relu Specified if a fused bounded relu should be applied - * - * @param[in] in_value Input to be quantized. - * @param[in] result_fixedpoint_multiplier Result multiplier parameter - * @param[in] result_shift Result shift parameter - * @param[in] result_offset_after_shift_s32 Result offset parameter - * @param[in] min_u8 Relu lower bound - * @param[in] max_u8 Relu upper bound - * - * @return Quantized value - */ -template <bool is_bounded_relu> -inline uint8_t finalize_quantization(int32_t in_value, int result_fixedpoint_multiplier, - int32_t result_shift, int32_t result_offset_after_shift_s32, - uint8_t min_u8, uint8_t max_u8) -{ - int32x4_t in_s32 = vdupq_n_s32(in_value); - - if(result_shift < 0) - { - in_value = vgetq_lane_s32(vqrdmulhq_n_s32(vmulq_n_s32(in_s32, (1 << (-result_shift))), result_fixedpoint_multiplier), 0); - } - else - { - // Fixed point multiplication with vector saturating rounding doubling multiply high with scalar - in_value = vgetq_lane_s32(vqrdmulhq_n_s32(in_s32, result_fixedpoint_multiplier), 0); - // Shift value by result_shift_s32 - in_value = rounding_divide_by_pow2(in_value, result_shift); - } - - // Add the offset term - in_value += result_offset_after_shift_s32; - - // Bound the result - uint8_t out_u8 = static_cast<uint8_t>(std::max<int32_t>(0, std::min<int32_t>(255, in_value))); - if(is_bounded_relu) - { - out_u8 = static_cast<uint8_t>(std::max(min_u8, std::min(max_u8, out_u8))); - } - - return out_u8; -} - -/** Performs final quantization step on single element - * - * @tparam is_bounded_relu Specified if a fused bounded relu should be applied - * - * @param[in] in_value Input to be quantized. - * @param[in] result_fixedpoint_multiplier Result multiplier parameter - * @param[in] result_shift Result shift parameter - * @param[in] result_offset_after_shift_s32 Result offset parameter - * @param[in] min_s8 Relu lower bound - * @param[in] max_s8 Relu upper bound - * - * @return Quantized value - */ -template <bool is_bounded_relu> -inline int8_t finalize_quantization(int32_t in_value, int result_fixedpoint_multiplier, - int32_t result_shift, int32_t result_offset_after_shift_s32, - int8_t min_s8, int8_t max_s8) -{ - int32x4_t in_s32 = vdupq_n_s32(in_value); - - if(result_shift < 0) - { - in_value = vgetq_lane_s32(vqrdmulhq_n_s32(vmulq_n_s32(in_s32, (1 << (-result_shift))), result_fixedpoint_multiplier), 0); - } - else - { - // Fixed point multiplication with vector saturating rounding doubling multiply high with scalar - in_value = vgetq_lane_s32(vqrdmulhq_n_s32(in_s32, result_fixedpoint_multiplier), 0); - - // Shift value by result_shift_s32 - in_value = rounding_divide_by_pow2(in_value, result_shift); - } - - // Add the offset term - in_value += result_offset_after_shift_s32; - - // Bound the result - int8_t out_s8 = static_cast<int8_t>(std::max<int32_t>(-128, std::min<int32_t>(127, in_value))); - if(is_bounded_relu) - { - out_s8 = static_cast<int8_t>(std::max(min_s8, std::min(max_s8, out_s8))); - } - - return out_s8; -} - -/** Dequantize a neon vector holding 8 quantized values. - * - * @param[in] qv Input values to be dequantized. - * @param[in] qi Quantization information to be used in the computation. - * - * @return Dequantized values in a neon vector - */ -inline float32x4x2_t vdequantize(const uint8x8_t &qv, const UniformQuantizationInfo &qi) -{ - const float scale = qi.scale; - const int offset = qi.offset; - const int32x4_t voffset = vdupq_n_s32(offset); - const float32x4_t vscale = vdupq_n_f32(scale); - const float32x4x2_t vdequantized_input = - { - { - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(qv)))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(qv)))), voffset)), vscale), - } - }; - return vdequantized_input; -} - -/** Dequantize a neon vector holding 8 singed quantized values. - * - * @param[in] qv Input values to be dequantized. - * @param[in] qi Quantization information to be used in the computation. - * - * @return Dequantized values in a neon vector - */ -inline float32x4x2_t vdequantize(const int8x8_t &qv, const UniformQuantizationInfo &qi) -{ - const float scale = qi.scale; - const int offset = qi.offset; - const int32x4_t voffset = vdupq_n_s32(offset); - const float32x4_t vscale = vdupq_n_f32(scale); - const float32x4x2_t vdequantized_input = - { - { - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_low_s16(vmovl_s8(qv))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_high_s16(vmovl_s8(qv))), voffset)), vscale), - } - }; - return vdequantized_input; -} - -/** Dequantize a neon vector holding 16 quantized values. - * - * @param[in] qv Input values to be dequantized. - * @param[in] qi Quantization information to be used in the computation. - * - * @return Dequantized values in a neon vector - */ -inline float32x4x4_t vdequantize(const uint8x16_t &qv, const UniformQuantizationInfo &qi) -{ - const float scale = qi.scale; - const int offset = qi.offset; - const int32x4_t voffset = vdupq_n_s32(offset); - const float32x4_t vscale = vdupq_n_f32(scale); - const float32x4x4_t vdequantized_input = - { - { - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(qv))))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(qv))))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(qv))))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(qv))))), voffset)), vscale), - } - }; - return vdequantized_input; -} - -/** Dequantize a neon vector holding 16 signed quantized values. - * - * @param[in] qv Input values to be dequantized. - * @param[in] qi Quantization information to be used in the computation. - * - * @return Dequantized values in a neon vector - */ -inline float32x4x4_t vdequantize(const int8x16_t &qv, const UniformQuantizationInfo &qi) -{ - const float scale = qi.scale; - const int offset = qi.offset; - const int32x4_t voffset = vdupq_n_s32(offset); - const float32x4_t vscale = vdupq_n_f32(scale); - const float32x4x4_t vdequantized_input = - { - { - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_low_s8(qv)))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_low_s8(qv)))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_high_s8(qv)))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_high_s8(qv)))), voffset)), vscale), - } - }; - return vdequantized_input; -} - -/** Dequantize following an asymmetric quantization scheme a neon vector holding 16 quantized values. - * - * @param[in] qv Input values to be dequantized. - * @param[in] scale Quantization scaling factor. - * @param[in] offset Zero quantization offset. - * - * @return Dequantized values in a neon vector - */ -inline float32x4x4_t vdequantize(const uint8x16_t &qv, float scale, int32_t offset) -{ - const int32x4_t voffset = vdupq_n_s32(offset); - const float32x4_t vscale = vdupq_n_f32(scale); - const float32x4x4_t vdequantized_input = - { - { - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(qv))))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(qv))))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(qv))))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(qv))))), voffset)), vscale), - } - }; - return vdequantized_input; -} - -/** Dequantize a vector of 16 values stored as signed asymmetric. - * - * @param[in] qv Input values to be dequantized. - * @param[in] scale Quantization scaling factor. - * @param[in] offset Zero quantization offset. - * - * @return Dequantized values in a neon vector - */ -inline float32x4x4_t vdequantize(const int8x16_t &qv, float scale, int32_t offset) -{ - const int32x4_t voffset = vdupq_n_s32(offset); - const float32x4_t vscale = vdupq_n_f32(scale); - const float32x4x4_t vdequantized_input = - { - { - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_low_s8(qv)))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_low_s8(qv)))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_high_s8(qv)))), voffset)), vscale), - vmulq_f32(vcvtq_f32_s32(vsubq_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_high_s8(qv)))), voffset)), vscale), - } - }; - return vdequantized_input; -} - -/** Dequantize following symmetric quantization scheme a neon vector holding 16 quantized values. - * - * @param[in] qv Input values to be dequantized. - * @param[in] vscale Vector containing quantization scaling factors. - * - * @return Dequantized values in a neon vector - */ -inline float32x4x4_t vdequantize(const int8x16_t &qv, const float32x4x4_t vscale) -{ - const float32x4x4_t vdequantized_input = - { - { - vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_low_s8(qv))))), vscale.val[0]), - vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_low_s8(qv))))), vscale.val[1]), - vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_high_s8(qv))))), vscale.val[2]), - vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_high_s8(qv))))), vscale.val[3]), - } - }; - return vdequantized_input; -} - -/** Dequantize following a symmetric quantization scheme a neon vector holding 16 quantized values. - * - * @param[in] qv Input values to be dequantized. - * @param[in] scale Quantization scaling factor. - * - * @return Dequantized values in a neon vector - */ -inline float32x4x4_t vdequantize(const int8x16_t &qv, float scale) -{ - const float32x4_t vscale = vdupq_n_f32(scale); - const float32x4x4_t vdequantized_input = - { - { - vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_low_s8(qv))))), vscale), - vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_low_s8(qv))))), vscale), - vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(vmovl_s8(vget_high_s8(qv))))), vscale), - vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(vmovl_s8(vget_high_s8(qv))))), vscale), - } - }; - return vdequantized_input; -} - -/** Quantize a neon vector holding 8 floating point values. - * - * @param[in] qv Input values to be quantized. - * @param[in] qi Quantization information to be used in the computation. - * - * @return A neon vector holding the quantized values - */ -inline uint8x8_t vquantize(const float32x4x2_t &qv, const UniformQuantizationInfo &qi) -{ - const float scale = qi.scale; - const int offset = qi.offset; - const float32x4_t voffset = vdupq_n_f32(offset); - const float32x4_t vinvscale = vdupq_n_f32(1.f / scale); - const int32x4x4_t rf = - { - { -#ifdef __aarch64__ - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), -#else //__aarch64__ - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), -#endif //__aarch64__ - } - }; - return vqmovun_s16(vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1]))); -} - -/** Quantize a neon vector holding 8 floating point values. - * - * @param[in] qv Input values to be quantized. - * @param[in] qi Quantization information to be used in the computation. - * - * @return A neon vector holding the singed quantized values - */ -inline int8x8_t vquantize_signed(const float32x4x2_t &qv, const UniformQuantizationInfo &qi) -{ - const float scale = qi.scale; - const int offset = qi.offset; - const float32x4_t voffset = vdupq_n_f32(offset); - const float32x4_t vinvscale = vdupq_n_f32(1.f / scale); - const int32x4x4_t rf = - { - { -#ifdef __aarch64__ - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), -#else //__aarch64__ - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), -#endif //__aarch64__ - } - }; - return vqmovn_s16(vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1]))); -} - -/** Quantize a neon vector holding 16 floating point values. - * - * @param[in] qv Input values to be quantized. - * @param[in] qi Quantization information to be used in the computation. - * - * @return A neon vector holding the quantized values - */ -inline uint8x16_t vquantize(const float32x4x4_t &qv, const UniformQuantizationInfo &qi) -{ - const float scale = qi.scale; - const int offset = qi.offset; - const float32x4_t voffset = vdupq_n_f32(offset); - const float32x4_t vinvscale = vdupq_n_f32(1.f / scale); - const int32x4x4_t rf = - { - { -#ifdef __aarch64__ - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[2], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[3], vinvscale)), -#else //__aarch64__ - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[2], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[3], vinvscale)), -#endif //__aarch64__ - } - }; - const uint8x8_t pa = vqmovun_s16(vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1]))); - const uint8x8_t pb = vqmovun_s16(vcombine_s16(vqmovn_s32(rf.val[2]), vqmovn_s32(rf.val[3]))); - return vcombine_u8(pa, pb); -} - -/** Signed quantize a neon vector holding 16 floating point values. - * - * @param[in] qv Input values to be quantized. - * @param[in] qi Quantization information to be used in the computation. - * - * @return A neon vector holding the quantized values - */ -inline int8x16_t vquantize_signed(const float32x4x4_t &qv, const UniformQuantizationInfo &qi) -{ - const float scale = qi.scale; - const int offset = qi.offset; - const float32x4_t voffset = vdupq_n_f32(offset); - const float32x4_t vinvscale = vdupq_n_f32(1.f / scale); - const int32x4x4_t rf = - { - { -#ifdef __aarch64__ - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[2], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[3], vinvscale)), -#else //__aarch64__ - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[2], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[3], vinvscale)), -#endif //__aarch64__ - } - }; - const int8x8_t pa = vqmovn_s16(vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1]))); - const int8x8_t pb = vqmovn_s16(vcombine_s16(vqmovn_s32(rf.val[2]), vqmovn_s32(rf.val[3]))); - return vcombine_s8(pa, pb); -} - -/** Quantize to QASYMM16 a neon vector holding 16 floating point values. - * - * @param[in] qv Input values to be quantized. - * @param[in] qi Quantization information to be used in the computation. - * - * @return A neon vector holding the quantized values - */ -inline uint16x8x2_t vquantize_qasymm16(const float32x4x4_t &qv, const UniformQuantizationInfo &qi) -{ - const float scale = qi.scale; - const int offset = qi.offset; - const float32x4_t voffset = vdupq_n_f32(offset); - const float32x4_t vinvscale = vdupq_n_f32(1.f / scale); - const int32x4x4_t rf = - { - { -#ifdef __aarch64__ - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[2], vinvscale)), - vcvtnq_s32_f32(vmlaq_f32(voffset, qv.val[3], vinvscale)), -#else //__aarch64__ - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[0], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[1], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[2], vinvscale)), - vcvtq_s32_f32(vmlaq_f32(voffset, qv.val[3], vinvscale)), -#endif //__aarch64__ - } - }; - const uint16x8_t pa = vcombine_u16(vqmovun_s32(rf.val[0]), vqmovun_s32(rf.val[1])); - const uint16x8_t pb = vcombine_u16(vqmovun_s32(rf.val[2]), vqmovun_s32(rf.val[3])); - return { pa, pb }; -} -} // namespace arm_compute -#include "arm_compute/core/NEON/NEAsymm.inl" -#endif // ARM_COMPUTE_NEASYMM_H |