diff options
author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-01-30 18:13:46 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:46:07 +0000 |
commit | 4074c995d2a88684fd4a9d1aa36d51de56bb8dab (patch) | |
tree | 280a15ca10ff88c5eb432be011ccb721660a3349 /arm_compute/core/NEON/kernels/convolution/NEDirectConvolutionDetail.h | |
parent | c5694afca3f937f8c9b3ec328da9394f11f9af2d (diff) | |
download | ComputeLibrary-4074c995d2a88684fd4a9d1aa36d51de56bb8dab.tar.gz |
COMPMID-873: Integrate RSH NEON Depthwise Convolution routine
Change-Id: Ida1e9a836bc518bfe5563e16bf7f92bde5fc13f7
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/118472
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/convolution/NEDirectConvolutionDetail.h')
-rw-r--r-- | arm_compute/core/NEON/kernels/convolution/NEDirectConvolutionDetail.h | 721 |
1 files changed, 0 insertions, 721 deletions
diff --git a/arm_compute/core/NEON/kernels/convolution/NEDirectConvolutionDetail.h b/arm_compute/core/NEON/kernels/convolution/NEDirectConvolutionDetail.h deleted file mode 100644 index 908fa13876..0000000000 --- a/arm_compute/core/NEON/kernels/convolution/NEDirectConvolutionDetail.h +++ /dev/null @@ -1,721 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_NEDIRECTCONVOLUTIONDETAIL_H__ -#define __ARM_COMPUTE_NEDIRECTCONVOLUTIONDETAIL_H__ - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/NEON/NEFixedPoint.h" - -#include <arm_neon.h> - -namespace arm_compute -{ -namespace detail -{ -/** Loads a 3x3 matrix as a row (float). - * - * @param[in] ptr Pointer to a float 3x3 matrix. - * @param[in] weights_offset (Optional) Weights quantization offset. - * - * @return The loaded matrix. - */ -inline float32x4x3_t load_matrix_row(const float *ptr, int weights_offset = 0) -{ - ARM_COMPUTE_UNUSED(weights_offset); - const float32x4x3_t r = - { - { - vld1q_dup_f32(ptr), - vld1q_dup_f32(1 + ptr), - vld1q_dup_f32(2 + ptr) - } - }; - return r; -} - -/** Loads a 3x3 matrix as a row (qint8_t). - * - * @param[in] ptr Pointer to a qint8 3x3 matrix. - * @param[in] weights_offset (Optional) Weights quantization offset. - * - * @return The loaded matrix. - */ -inline qint8x8x3_t load_matrix_row(const qint8_t *ptr, int weights_offset = 0) -{ - ARM_COMPUTE_UNUSED(weights_offset); - /* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes: - r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */ - const qint8x8x3_t r = - { - { - vld1_dup_qs8(ptr), - vld1_dup_qs8(1 + ptr), - vld1_dup_qs8(2 + ptr) - } - }; - return r; -} - -/** Loads a 3x3 matrix as a row (uint8_t). - * - * @param[in] ptr Pointer to a uint8_t 3x3 matrix. - * @param[in] weights_offset (Optional) Weights quantization offset. - * - * @return The loaded matrix. - */ -inline int32x4x3_t load_matrix_row(const uint8_t *ptr, int weights_offset = 0) -{ - const int32x4_t v_weights_offset = vdupq_n_s32(weights_offset); - - /* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes: - r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */ - int32x4x3_t r = - { - { - vaddq_s32(v_weights_offset, vdupq_n_s32(*ptr)), - vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 1))), - vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 2))) - } - }; - return r; -} - -/** Perform a convolve3x3 on float32. - * - * @param[in] in_top Pointer to the first row of the input. - * @param[in] in_mid Pointer to the second row of the input. - * @param[in] in_low Pointer to the third row of the input. - * @param[in] m0 First row of the filter. - * @param[in] m1 Second row of the filter. - * @param[in] m2 Third row of the filter. - * @param[in] fixed_point_position (Optional) Fixed point position. - * @param[in] input_offset (Optional) Input quantization offset. - * - */ -template <unsigned int stridex> -float32x4x2_t convolve_3x3(const float *in_top, const float *in_mid, const float *in_low, - const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, - int fixed_point_position, int input_offset = 0); - -template <> -inline float32x4x2_t convolve_3x3<1>(const float *in_top, const float *in_mid, const float *in_low, - const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, - int fixed_point_position, int input_offset) -{ - ARM_COMPUTE_UNUSED(fixed_point_position); - ARM_COMPUTE_UNUSED(input_offset); - - const float32x4x3_t vtop = - { - { - vld1q_f32(in_top), - vld1q_f32(in_top + 4), - vld1q_f32(in_top + 8) - } - }; - const float32x4x3_t vmid = - { - { - vld1q_f32(in_mid), - vld1q_f32(in_mid + 4), - vld1q_f32(in_mid + 8) - } - }; - const float32x4x3_t vlow = - { - { - vld1q_f32(in_low), - vld1q_f32(in_low + 4), - vld1q_f32(in_low + 8) - } - }; - float32x4x2_t out = - { - { - vmulq_f32(vtop.val[0], m0.val[0]), - vmulq_f32(vtop.val[1], m0.val[0]) - } - }; - out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 1), m0.val[1]); - out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 2), m0.val[2]); - - out.val[0] = vmlaq_f32(out.val[0], vmid.val[0], m1.val[0]); - out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 1), m1.val[1]); - out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 2), m1.val[2]); - - out.val[0] = vmlaq_f32(out.val[0], vlow.val[0], m2.val[0]); - out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 1), m2.val[1]); - out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 2), m2.val[2]); - - out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 1), m0.val[1]); - out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 2), m0.val[2]); - - out.val[1] = vmlaq_f32(out.val[1], vmid.val[1], m1.val[0]); - out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 1), m1.val[1]); - out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 2), m1.val[2]); - - out.val[1] = vmlaq_f32(out.val[1], vlow.val[1], m2.val[0]); - out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 1), m2.val[1]); - out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 2), m2.val[2]); - return out; -} - -template <> -inline float32x4x2_t convolve_3x3<2>(const float *in_top, const float *in_mid, const float *in_low, - const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, - int fixed_point_position, int input_offset) -{ - ARM_COMPUTE_UNUSED(input_offset); - - float32x4x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset); - out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 2), out.val[0], 1); - out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 0), out.val[0], 2); - out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 2), out.val[0], 3); - return out; -} - -template <> -inline float32x4x2_t convolve_3x3<3>(const float *in_top, const float *in_mid, const float *in_low, - const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, - int fixed_point_position, int input_offset) -{ - ARM_COMPUTE_UNUSED(input_offset); - - float32x4x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset); - out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1); - return out; -} - -/** Perform a convolve3x3 on qint16. - * - * @param[in] in_top Pointer to the first row of the input. - * @param[in] in_mid Pointer to the second row of the input. - * @param[in] in_low Pointer to the third row of the input. - * @param[in] m0 First row of the filter. - * @param[in] m1 Second row of the filter. - * @param[in] m2 Third row of the filter. - * @param[in] fixed_point_position (Optional) Fixed point position. - * @param[in] input_offset (Optional) Input quantization offset. - * - */ -template <unsigned int stridex> -qint16x8x2_t convolve_3x3(const qint8_t *in_top, const qint8_t *in_mid, const qint8_t *in_low, - const qint8x8x3_t &m0, const qint8x8x3_t &m1, const qint8x8x3_t &m2, - int fixed_point_position, int input_offset = 0); - -template <> -inline qint16x8x2_t convolve_3x3<1>(const qint8_t *in_top, const qint8_t *in_mid, const qint8_t *in_low, - const qint8x8x3_t &m0, const qint8x8x3_t &m1, const qint8x8x3_t &m2, - int fixed_point_position, int input_offset) -{ - ARM_COMPUTE_UNUSED(fixed_point_position); - ARM_COMPUTE_UNUSED(input_offset); - - const qint8x8x3_t vtop = - { - { - vld1_qs8(in_top), - vld1_qs8(in_top + 8), - vld1_qs8(in_top + 16) - } - }; - const qint8x8x3_t vmid = - { - { - vld1_qs8(in_mid), - vld1_qs8(in_mid + 8), - vld1_qs8(in_mid + 16) - } - }; - const qint8x8x3_t vlow = - { - { - vld1_qs8(in_low), - vld1_qs8(in_low + 8), - vld1_qs8(in_low + 16) - } - }; - qint16x8x2_t out = - { - { - vmull_qs8(vtop.val[0], m0.val[0], fixed_point_position), - vmull_qs8(vtop.val[1], m0.val[0], fixed_point_position) - } - }; - out.val[0] = vqmlal_qs8(out.val[0], vext_s8(vtop.val[0], vtop.val[1], 1), m0.val[1], fixed_point_position); - out.val[0] = vqmlal_qs8(out.val[0], vext_s8(vtop.val[0], vtop.val[1], 2), m0.val[2], fixed_point_position); - out.val[0] = vqmlal_qs8(out.val[0], vmid.val[0], m1.val[0], fixed_point_position); - out.val[0] = vqmlal_qs8(out.val[0], vext_s8(vmid.val[0], vmid.val[1], 1), m1.val[1], fixed_point_position); - out.val[0] = vqmlal_qs8(out.val[0], vext_s8(vmid.val[0], vmid.val[1], 2), m1.val[2], fixed_point_position); - out.val[0] = vqmlal_qs8(out.val[0], vlow.val[0], m2.val[0], fixed_point_position); - out.val[0] = vqmlal_qs8(out.val[0], vext_s8(vlow.val[0], vlow.val[1], 1), m2.val[1], fixed_point_position); - out.val[0] = vqmlal_qs8(out.val[0], vext_s8(vlow.val[0], vlow.val[1], 2), m2.val[2], fixed_point_position); - out.val[1] = vqmlal_qs8(out.val[1], vext_s8(vtop.val[1], vtop.val[2], 1), m0.val[1], fixed_point_position); - out.val[1] = vqmlal_qs8(out.val[1], vext_s8(vtop.val[1], vtop.val[2], 2), m0.val[2], fixed_point_position); - out.val[1] = vqmlal_qs8(out.val[1], vmid.val[1], m1.val[0], fixed_point_position); - out.val[1] = vqmlal_qs8(out.val[1], vext_s8(vmid.val[1], vmid.val[2], 1), m1.val[1], fixed_point_position); - out.val[1] = vqmlal_qs8(out.val[1], vext_s8(vmid.val[1], vmid.val[2], 2), m1.val[2], fixed_point_position); - out.val[1] = vqmlal_qs8(out.val[1], vlow.val[1], m2.val[0], fixed_point_position); - out.val[1] = vqmlal_qs8(out.val[1], vext_s8(vlow.val[1], vlow.val[2], 1), m2.val[1], fixed_point_position); - out.val[1] = vqmlal_qs8(out.val[1], vext_s8(vlow.val[1], vlow.val[2], 2), m2.val[2], fixed_point_position); - return out; -} - -template <> -inline qint16x8x2_t convolve_3x3<2>(const qint8_t *in_top, const qint8_t *in_mid, const qint8_t *in_low, - const qint8x8x3_t &m0, const qint8x8x3_t &m1, const qint8x8x3_t &m2, - int fixed_point_position, int input_offset) -{ - ARM_COMPUTE_UNUSED(input_offset); - - qint16x8x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 2), out.val[0], 1); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 4), out.val[0], 2); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 6), out.val[0], 3); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 0), out.val[0], 4); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 2), out.val[0], 5); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 4), out.val[0], 6); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 6), out.val[0], 7); - return out; -} - -template <> -inline qint16x8x2_t convolve_3x3<3>(const qint8_t *in_top, const qint8_t *in_mid, const qint8_t *in_low, - const qint8x8x3_t &m0, const qint8x8x3_t &m1, const qint8x8x3_t &m2, - int fixed_point_position, int input_offset) -{ - ARM_COMPUTE_UNUSED(input_offset); - - qint16x8x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 3), out.val[0], 1); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[0], 6), out.val[0], 2); - out.val[0] = vsetq_lane_s16(vgetq_lane_s16(out.val[1], 1), out.val[0], 3); - return out; -} - -/** Perform a convolve3x3 on uint8_t - * - * @param[in] in_top Pointer to the first row of the input. - * @param[in] in_mid Pointer to the second row of the input. - * @param[in] in_low Pointer to the third row of the input. - * @param[in] m0 First row of the filter. - * @param[in] m1 Second row of the filter. - * @param[in] m2 Third row of the filter. - * @param[in] fixed_point_position (Optional) Fixed point position. - * @param[in] input_offset (Optional) Input quantization offset. - * - */ -template <unsigned int stridex> -int32x4x2_t convolve_3x3(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, - const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, - int fixed_point_position, int input_offset); - -template <> -inline int32x4x2_t convolve_3x3<1>(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, - int fixed_point_position, int input_offset) -{ - ARM_COMPUTE_UNUSED(fixed_point_position); - - const int32x4_t v_input_offset = vdupq_n_s32(input_offset); - - const uint8x8x2_t vtop = - { - { - vld1_u8(in_top), - vld1_u8(in_top + 8) - } - }; - const uint8x8x2_t vmid = - { - { - vld1_u8(in_mid), - vld1_u8(in_mid + 8) - } - }; - const uint8x8x2_t vlow = - { - { - vld1_u8(in_low), - vld1_u8(in_low + 8) - } - }; - - const int32x4x3_t vtop_s32 = - { - { - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[0])))), - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vtop.val[0])))), - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[1])))), - } - }; - const int32x4x3_t vmid_s32 = - { - { - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[0])))), - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vmid.val[0])))), - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[1])))), - } - }; - const int32x4x3_t vlow_s32 = - { - { - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[0])))), - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vlow.val[0])))), - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[1])))), - } - }; - - int32x4x2_t out - { - { - vdupq_n_s32(0), - vdupq_n_s32(0), - } - }; - - // 0 - out.val[0] = vmlaq_s32(out.val[0], vtop_s32.val[0], m0.val[0]); - out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vtop_s32.val[0], vtop_s32.val[1], 1), m0.val[1]); - out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vtop_s32.val[0], vtop_s32.val[1], 2), m0.val[2]); - - out.val[0] = vmlaq_s32(out.val[0], vmid_s32.val[0], m1.val[0]); - out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vmid_s32.val[0], vmid_s32.val[1], 1), m1.val[1]); - out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vmid_s32.val[0], vmid_s32.val[1], 2), m1.val[2]); - - out.val[0] = vmlaq_s32(out.val[0], vlow_s32.val[0], m2.val[0]); - out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vlow_s32.val[0], vlow_s32.val[1], 1), m2.val[1]); - out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vlow_s32.val[0], vlow_s32.val[1], 2), m2.val[2]); - - // 1 - out.val[1] = vmlaq_s32(out.val[1], vtop_s32.val[1], m0.val[0]); - out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vtop_s32.val[1], vtop_s32.val[2], 1), m0.val[1]); - out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vtop_s32.val[1], vtop_s32.val[2], 2), m0.val[2]); - - out.val[1] = vmlaq_s32(out.val[1], vmid_s32.val[1], m1.val[0]); - out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vmid_s32.val[1], vmid_s32.val[2], 1), m1.val[1]); - out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vmid_s32.val[1], vmid_s32.val[2], 2), m1.val[2]); - - out.val[1] = vmlaq_s32(out.val[1], vlow_s32.val[1], m2.val[0]); - out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vlow_s32.val[1], vlow_s32.val[2], 1), m2.val[1]); - out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vlow_s32.val[1], vlow_s32.val[2], 2), m2.val[2]); - - return out; -} - -template <> -inline int32x4x2_t convolve_3x3<2>(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, - const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, - int fixed_point_position, int input_offset) -{ - ARM_COMPUTE_UNUSED(fixed_point_position); - - int32x4x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset); - out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 2), out.val[0], 1); - out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 0), out.val[0], 2); - out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 2), out.val[0], 3); - return out; -} - -template <> -inline int32x4x2_t convolve_3x3<3>(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, - const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, - int fixed_point_position, int input_offset) -{ - ARM_COMPUTE_UNUSED(fixed_point_position); - int32x4x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position, input_offset); - out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 3), out.val[0], 1); - return out; -} - -/** Stores a float32x4x2_t array into a memory location. - * - * @param[in] buffer Pointer to the memory location where the values will be stored. - * @param[in] values Values that will be stored. - * - */ -template <unsigned int stridex> -void store_results(float *buffer, const float32x4x2_t &values); - -template <> -inline void store_results<1>(float *buffer, const float32x4x2_t &values) -{ - vst1q_f32(buffer, values.val[0]); - vst1q_f32(buffer + 4, values.val[1]); -} - -template <> -inline void store_results<2>(float *buffer, const float32x4x2_t &values) -{ - vst1q_f32(buffer, values.val[0]); -} - -template <> -inline void store_results<3>(float *buffer, const float32x4x2_t &values) -{ - vst1_f32(buffer, vget_low_f32(values.val[0])); -} - -/** Stores a qint16_t array into a memory location. - * - * @param[in] buffer Pointer to the memory location where the values will be stored. - * @param[in] values Values that will be stored. - * - */ -template <unsigned int stridex> -void store_results(qint16_t *buffer, const qint16x8x2_t &values); - -template <> -inline void store_results<1>(qint16_t *buffer, const qint16x8x2_t &values) -{ - vst1q_qs16(buffer, values.val[0]); - vst1q_qs16(buffer + 8, values.val[1]); -} - -template <> -inline void store_results<2>(qint16_t *buffer, const qint16x8x2_t &values) -{ - vst1q_qs16(buffer, values.val[0]); -} - -template <> -inline void store_results<3>(qint16_t *buffer, const qint16x8x2_t &values) -{ - vst1_qs16(buffer, vget_low_s16(values.val[0])); -} - -/** Stores a uint32_t array into a memory location. - * - * @param[in] buffer Pointer to the memory location where the values will be stored. - * @param[in] values Values that will be stored. - * - */ -template <unsigned int stridex> -void store_results(int32_t *buffer, const int32x4x2_t &values); - -template <> -inline void store_results<1>(int32_t *buffer, const int32x4x2_t &values) -{ - vst1q_s32(buffer, values.val[0]); - vst1q_s32(buffer + 4, values.val[1]); -} - -template <> -inline void store_results<2>(int32_t *buffer, const int32x4x2_t &values) -{ - vst1q_s32(buffer, values.val[0]); -} - -template <> -inline void store_results<3>(int32_t *buffer, const int32x4x2_t &values) -{ - vst1_s32(buffer, vget_low_s32(values.val[0])); -} - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -/** Loads a 3x3 matrix as a row (float16_t). - * - * @param[in] ptr Pointer to a float 3x3 matrix. - * - * @return The loaded matrix. - */ -inline float16x8x3_t load_matrix_row(const float16_t *ptr) -{ - /* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes: - r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */ - const float16x8x3_t r = - { - { - vld1q_dup_f16(ptr), - vld1q_dup_f16(1 + ptr), - vld1q_dup_f16(2 + ptr) - } - }; - return r; -} - -/** Perform a convolve3x3 on float16. - * - * @param[in] in_top Pointer to the first row of the input. - * @param[in] in_mid Pointer to the second row of the input. - * @param[in] in_low Pointer to the third row of the input. - * @param[in] m0 First row of the filter. - * @param[in] m1 Second row of the filter. - * @param[in] m2 Third row of the filter. - * @param[in] fixed_point_position (Optional) Fixed point position. - * - */ -template <unsigned int stridex> -float16x8x2_t convolve_3x3(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, - int fixed_point_position); - -template <> -inline float16x8x2_t convolve_3x3<1>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, - int fixed_point_position) -{ - ARM_COMPUTE_UNUSED(fixed_point_position); - - const float16x8x3_t vtop = - { - { - vld1q_f16(in_top), - vld1q_f16(in_top + 8), - vld1q_f16(in_top + 16) - } - }; - const float16x8x3_t vmid = - { - { - vld1q_f16(in_mid), - vld1q_f16(in_mid + 8), - vld1q_f16(in_mid + 16) - } - }; - const float16x8x3_t vlow = - { - { - vld1q_f16(in_low), - vld1q_f16(in_low + 8), - vld1q_f16(in_low + 16) - } - }; - float16x8x2_t out = - { - { - vmulq_f16(vtop.val[0], m0.val[0]), - vmulq_f16(vtop.val[1], m0.val[0]) - } - }; - out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vtop.val[0], vtop.val[1], 1), m0.val[1])); - out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vtop.val[0], vtop.val[1], 2), m0.val[2])); - out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vmid.val[0], m1.val[0])); - out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vmid.val[0], vmid.val[1], 1), m1.val[1])); - out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vmid.val[0], vmid.val[1], 2), m1.val[2])); - out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vlow.val[0], m2.val[0])); - out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vlow.val[0], vlow.val[1], 1), m2.val[1])); - out.val[0] = vaddq_f16(out.val[0], vmulq_f16(vextq_f16(vlow.val[0], vlow.val[1], 2), m2.val[2])); - out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vtop.val[1], vtop.val[2], 1), m0.val[1])); - out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vtop.val[1], vtop.val[2], 2), m0.val[2])); - out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vmid.val[1], m1.val[0])); - out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vmid.val[1], vmid.val[2], 1), m1.val[1])); - out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vmid.val[1], vmid.val[2], 2), m1.val[2])); - out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vlow.val[1], m2.val[0])); - out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vlow.val[1], vlow.val[2], 1), m2.val[1])); - out.val[1] = vaddq_f16(out.val[1], vmulq_f16(vextq_f16(vlow.val[1], vlow.val[2], 2), m2.val[2])); - return out; -} - -template <> -inline float16x8x2_t convolve_3x3<2>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, - int fixed_point_position) -{ - float16x8x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position); - out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 2), out.val[0], 1); - out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 0), out.val[0], 2); - out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 2), out.val[0], 3); - return out; -} - -template <> -inline float16x8x2_t convolve_3x3<3>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, - int fixed_point_position) -{ - float16x8x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2, fixed_point_position); - out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 3), out.val[0], 1); - return out; -} - -/** Stores a float16x8x2_t array into a memory location. - * - * @param[in] buffer Pointer to the memory location where the values will be stored. - * @param[in] values Values that will be stored. - * - */ -template <unsigned int stridex> -void store_results(float16_t *buffer, const float16x8x2_t &values); - -template <> -inline void store_results<1>(float16_t *buffer, const float16x8x2_t &values) -{ - vst1q_f16(buffer, values.val[0]); - vst1q_f16(buffer + 8, values.val[1]); -} - -template <> -inline void store_results<2>(float16_t *buffer, const float16x8x2_t &values) -{ - vst1q_f16(buffer, values.val[0]); -} - -template <> -inline void store_results<3>(float16_t *buffer, const float16x8x2_t &values) -{ - vst1_f16(buffer, vget_low_f16(values.val[0])); -} -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - -/** Get the number of elements processed on 3x3 convolution. - * - * @param[in] num_elems_written_per_iteration Number of elements written per iteration on 3x3 convolution. - * - * @return The number of elements processed. - */ -template <unsigned int stridex> -int get_input_num_elems_processed(unsigned int num_elems_written_per_iteration); - -template <> -inline int get_input_num_elems_processed<1>(unsigned int num_elems_written_per_iteration) -{ - return num_elems_written_per_iteration; -} - -template <> -inline int get_input_num_elems_processed<2>(unsigned int num_elems_written_per_iteration) -{ - return num_elems_written_per_iteration << 1; -} - -template <> -inline int get_input_num_elems_processed<3>(unsigned int num_elems_written_per_iteration) -{ - return num_elems_written_per_iteration * 3; -} -inline int get_input_num_elems_processed(unsigned int num_elems_written_per_iteration, unsigned int stridex) -{ - switch(stridex) - { - case 1: - return get_input_num_elems_processed<1>(num_elems_written_per_iteration); - case 2: - return get_input_num_elems_processed<2>(num_elems_written_per_iteration); - case 3: - return get_input_num_elems_processed<3>(num_elems_written_per_iteration); - default: - ARM_COMPUTE_ERROR("stridex not supported"); - return 0; - } -} -} -} // namespace arm_compute -#endif /* __ARM_COMPUTE_NEDIRECTCONVOLUTIONDETAIL_H__ */ |