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Diffstat (limited to 'arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h | 721 |
1 files changed, 721 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h b/arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h new file mode 100644 index 0000000000..908fa13876 --- /dev/null +++ b/arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h @@ -0,0 +1,721 @@ +/* + * 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__ */ |