diff options
Diffstat (limited to 'src/core/NEON/kernels/detail/NEDirectConvolutionDetail.h')
| -rw-r--r-- | src/core/NEON/kernels/detail/NEDirectConvolutionDetail.h | 511 |
1 files changed, 197 insertions, 314 deletions
diff --git a/src/core/NEON/kernels/detail/NEDirectConvolutionDetail.h b/src/core/NEON/kernels/detail/NEDirectConvolutionDetail.h index 779db6030d..fd1ee54597 100644 --- a/src/core/NEON/kernels/detail/NEDirectConvolutionDetail.h +++ b/src/core/NEON/kernels/detail/NEDirectConvolutionDetail.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2021 Arm Limited. + * Copyright (c) 2017-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -27,7 +27,7 @@ #include "src/core/NEON/NEFixedPoint.h" #include "src/core/NEON/wrapper/wrapper.h" -#include "support/Requires.h" +#include "support/AclRequires.h" #include <arm_neon.h> @@ -45,14 +45,7 @@ namespace detail 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) - } - }; + const float32x4x3_t r = {{vld1q_dup_f32(ptr), vld1q_dup_f32(1 + ptr), vld1q_dup_f32(2 + ptr)}}; return r; } @@ -63,21 +56,16 @@ inline float32x4x3_t load_matrix_row(const float *ptr, int weights_offset = 0) * * @return The loaded matrix. */ -template < typename T, ARM_COMPUTE_REQUIRES_TA(std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value) > +template <typename T, ARM_COMPUTE_REQUIRES_TA(std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value)> inline int32x4x3_t load_matrix_row(const 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))) - } - }; + 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; } @@ -245,36 +233,23 @@ inline void accumulate_results<3>(float16_t *buffer, const float16x8x2_t &values * @param[in] input_offset (Optional) Input quantization offset. * */ -inline float32x4_t single_convolve_3x3_dilation(const float *in_top, const float *in_mid, const float *in_low, - const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, - const size_t dilation_x, int input_offset) +inline float32x4_t single_convolve_3x3_dilation(const float *in_top, + const float *in_mid, + const float *in_low, + const float32x4x3_t &m0, + const float32x4x3_t &m1, + const float32x4x3_t &m2, + const size_t dilation_x, + int input_offset) { ARM_COMPUTE_UNUSED(input_offset); - const float32x4x3_t vtop = - { - { - vld1q_f32(in_top), - vld1q_f32(in_top + dilation_x), - vld1q_f32(in_top + 2 * dilation_x) - } - }; - const float32x4x3_t vmid = - { - { - vld1q_f32(in_mid), - vld1q_f32(in_mid + dilation_x), - vld1q_f32(in_mid + 2 * dilation_x) - } - }; - const float32x4x3_t vlow = - { - { - vld1q_f32(in_low), - vld1q_f32(in_low + dilation_x), - vld1q_f32(in_low + 2 * dilation_x) - } - }; + const float32x4x3_t vtop = { + {vld1q_f32(in_top), vld1q_f32(in_top + dilation_x), vld1q_f32(in_top + 2 * dilation_x)}}; + const float32x4x3_t vmid = { + {vld1q_f32(in_mid), vld1q_f32(in_mid + dilation_x), vld1q_f32(in_mid + 2 * dilation_x)}}; + const float32x4x3_t vlow = { + {vld1q_f32(in_low), vld1q_f32(in_low + dilation_x), vld1q_f32(in_low + 2 * dilation_x)}}; float32x4_t out = vmulq_f32(vtop.val[0], m0.val[0]); out = vmlaq_f32(out, vtop.val[1], m0.val[1]); out = vmlaq_f32(out, vtop.val[2], m0.val[2]); @@ -303,26 +278,28 @@ inline float32x4_t single_convolve_3x3_dilation(const float *in_top, const float * @param[in] input_offset (Optional) Input quantization offset. * */ -inline float32x4x2_t convolve_3x3_dilation(const float *in_top, const float *in_mid, const float *in_low, - const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, - const size_t dilation_x, unsigned int stridex, int input_offset = 0) +inline float32x4x2_t convolve_3x3_dilation(const float *in_top, + const float *in_mid, + const float *in_low, + const float32x4x3_t &m0, + const float32x4x3_t &m1, + const float32x4x3_t &m2, + const size_t dilation_x, + unsigned int stridex, + int input_offset = 0) { ARM_COMPUTE_ERROR_ON(stridex > 3); - float32x4x2_t out = - { - { - single_convolve_3x3_dilation(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset), - single_convolve_3x3_dilation(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset) - } - }; + float32x4x2_t out = { + {single_convolve_3x3_dilation(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset), + single_convolve_3x3_dilation(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset)}}; - if(stridex == 2) + if (stridex == 2) { 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); } - else if(stridex == 3) + else if (stridex == 3) { out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1); } @@ -344,26 +321,32 @@ inline float32x4x2_t convolve_3x3_dilation(const float *in_top, const float *in_ * */ template <bool accumulate> -void convolve_3x3(const float *in_top, const float *in_mid, const float *in_low, float *out_ptr, - const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, - unsigned int stridex, int input_offset = 0); +void convolve_3x3(const float *in_top, + const float *in_mid, + const float *in_low, + float *out_ptr, + const float32x4x3_t &m0, + const float32x4x3_t &m1, + const float32x4x3_t &m2, + unsigned int stridex, + int input_offset = 0); template <bool accumulate> -inline void convolve_3x3(const float *in_top, const float *in_mid, const float *in_low, float *out_ptr, - const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, - unsigned int stridex, int input_offset) +inline void convolve_3x3(const float *in_top, + const float *in_mid, + const float *in_low, + float *out_ptr, + const float32x4x3_t &m0, + const float32x4x3_t &m1, + const float32x4x3_t &m2, + unsigned int stridex, + int input_offset) { ARM_COMPUTE_UNUSED(input_offset); ARM_COMPUTE_ERROR_ON(stridex > 3); - float32x4x2_t out = - { - { - vdupq_n_f32(0.f), - vdupq_n_f32(0.f) - } - }; - if(stridex == 2) + float32x4x2_t out = {{vdupq_n_f32(0.f), vdupq_n_f32(0.f)}}; + if (stridex == 2) { const float32x4x2_t vtop = vld2q_f32(in_top); const float32x4x2_t vmid = vld2q_f32(in_mid); @@ -389,32 +372,11 @@ inline void convolve_3x3(const float *in_top, const float *in_mid, const float * } else { - 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) - } - }; - out.val[0] = vmulq_f32(vtop.val[0], m0.val[0]); - out.val[1] = vmulq_f32(vtop.val[1], m0.val[0]); + 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)}}; + out.val[0] = vmulq_f32(vtop.val[0], m0.val[0]); + out.val[1] = 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]); @@ -438,7 +400,7 @@ inline void convolve_3x3(const float *in_top, const float *in_mid, const float * 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]); - if(stridex == 3) + if (stridex == 3) { out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1); accumulate ? accumulate_results<3>(out_ptr, out) : store_results<3>(out_ptr, out); @@ -462,65 +424,43 @@ inline void convolve_3x3(const float *in_top, const float *in_mid, const float * * @param[in] input_offset Input quantization offset. * */ -template < typename T, ARM_COMPUTE_REQUIRES_TA(std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value) > -inline int32x4_t single_convolve_3x3_dilation(const T *in_top, const T *in_mid, const T *in_low, - const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, - size_t dilation_x, int32_t input_offset) +template <typename T, ARM_COMPUTE_REQUIRES_TA(std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value)> +inline int32x4_t single_convolve_3x3_dilation(const T *in_top, + const T *in_mid, + const T *in_low, + const int32x4x3_t &m0, + const int32x4x3_t &m1, + const int32x4x3_t &m2, + size_t dilation_x, + int32_t input_offset) { using VectorType = typename std::conditional<std::is_same<T, uint8_t>::value, uint8x8x3_t, int8x8x3_t>::type; using OutputTagType = typename wrapper::traits::neon_bitvector_tag_t<int32_t, wrapper::traits::BitWidth::W128>; const int32x4_t v_input_offset = wrapper::vdup_n(input_offset, OutputTagType{}); - const VectorType vtop = - { - { - wrapper::vload(in_top), - wrapper::vload(in_top + dilation_x), - wrapper::vload(in_top + 2 * dilation_x) - } - }; - const VectorType vmid = - { - { - wrapper::vload(in_mid), - wrapper::vload(in_mid + dilation_x), - wrapper::vload(in_mid + 2 * dilation_x) - } - }; - const VectorType vlow = - { - { - wrapper::vload(in_low), - wrapper::vload(in_low + dilation_x), - wrapper::vload(in_low + 2 * dilation_x) - } - }; - - const int32x4x3_t vtop_s32 = - { - { - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[0])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[1])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[2])))), - } - }; - const int32x4x3_t vmid_s32 = - { - { - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[0])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[1])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[2])))), - } - }; - const int32x4x3_t vlow_s32 = - { - { - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[0])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[1])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[2])))), - } - }; + const VectorType vtop = { + {wrapper::vload(in_top), wrapper::vload(in_top + dilation_x), wrapper::vload(in_top + 2 * dilation_x)}}; + const VectorType vmid = { + {wrapper::vload(in_mid), wrapper::vload(in_mid + dilation_x), wrapper::vload(in_mid + 2 * dilation_x)}}; + const VectorType vlow = { + {wrapper::vload(in_low), wrapper::vload(in_low + dilation_x), wrapper::vload(in_low + 2 * dilation_x)}}; + + const int32x4x3_t vtop_s32 = {{ + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[0])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[1])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[2])))), + }}; + const int32x4x3_t vmid_s32 = {{ + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[0])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[1])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[2])))), + }}; + const int32x4x3_t vlow_s32 = {{ + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[0])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[1])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[2])))), + }}; int32x4_t out = wrapper::vmul(vtop_s32.val[0], m0.val[0]); out = wrapper::vmla(out, vtop_s32.val[1], m0.val[1]); @@ -550,26 +490,29 @@ inline int32x4_t single_convolve_3x3_dilation(const T *in_top, const T *in_mid, * @param[in] input_offset Input quantization offset. * */ -template < typename T, ARM_COMPUTE_REQUIRES_TA(std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value) > -inline int32x4x2_t convolve_3x3_dilation(const T *in_top, const T *in_mid, const T *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, - const size_t dilation_x, unsigned int stridex, int input_offset) +template <typename T, ARM_COMPUTE_REQUIRES_TA(std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value)> +inline int32x4x2_t convolve_3x3_dilation(const T *in_top, + const T *in_mid, + const T *in_low, + const int32x4x3_t &m0, + const int32x4x3_t &m1, + const int32x4x3_t &m2, + const size_t dilation_x, + unsigned int stridex, + int input_offset) { ARM_COMPUTE_ERROR_ON(stridex > 3); - int32x4x2_t out = - { - { - single_convolve_3x3_dilation(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset), - single_convolve_3x3_dilation(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset) - } - }; + int32x4x2_t out = { + {single_convolve_3x3_dilation(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset), + single_convolve_3x3_dilation(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset)}}; - if(stridex == 2) + if (stridex == 2) { out.val[0] = wrapper::vsetlane(wrapper::vgetlane(out.val[0], 2), out.val[0], 1); out.val[0] = wrapper::vsetlane(wrapper::vgetlane(out.val[1], 0), out.val[0], 2); out.val[0] = wrapper::vsetlane(wrapper::vgetlane(out.val[1], 2), out.val[0], 3); } - else if(stridex == 3) + else if (stridex == 3) { out.val[0] = wrapper::vsetlane(wrapper::vgetlane(out.val[0], 3), out.val[0], 1); } @@ -589,10 +532,19 @@ inline int32x4x2_t convolve_3x3_dilation(const T *in_top, const T *in_mid, const * @param[in] input_offset Input quantization offset. * */ -template < bool accumulate, typename T1, typename T2, ARM_COMPUTE_REQUIRES_TA(std::is_same<T1, uint8_t>::value || std::is_same<T1, int8_t>::value) > -void convolve_3x3(const T1 *in_top, const T1 *in_mid, const T1 *in_low, T2 *out_ptr, - const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, - unsigned int stridex, int32_t input_offset) +template <bool accumulate, + typename T1, + typename T2, + ARM_COMPUTE_REQUIRES_TA(std::is_same<T1, uint8_t>::value || std::is_same<T1, int8_t>::value)> +void convolve_3x3(const T1 *in_top, + const T1 *in_mid, + const T1 *in_low, + T2 *out_ptr, + const int32x4x3_t &m0, + const int32x4x3_t &m1, + const int32x4x3_t &m2, + unsigned int stridex, + int32_t input_offset) { ARM_COMPUTE_ERROR_ON(stridex > 3); using VectorType = typename std::conditional<std::is_same<T1, uint8_t>::value, uint8x8x2_t, int8x8x2_t>::type; @@ -600,60 +552,30 @@ void convolve_3x3(const T1 *in_top, const T1 *in_mid, const T1 *in_low, T2 *out_ const int32x4_t v_input_offset = wrapper::vdup_n(input_offset, OutputTagType{}); - const VectorType vtop = - { - { - wrapper::vload(in_top), - wrapper::vload(in_top + 8) - } - }; - const VectorType vmid = - { - { - wrapper::vload(in_mid), - wrapper::vload(in_mid + 8) - } - }; - const VectorType vlow = - { - { - wrapper::vload(in_low), - wrapper::vload(in_low + 8) - } - }; - - const int32x4x3_t vtop_s32 = - { - { - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[0])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgethigh(wrapper::vmovl(vtop.val[0])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[1])))), - } - }; - const int32x4x3_t vmid_s32 = - { - { - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[0])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgethigh(wrapper::vmovl(vmid.val[0])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[1])))), - } - }; - const int32x4x3_t vlow_s32 = - { - { - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[0])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgethigh(wrapper::vmovl(vlow.val[0])))), - wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[1])))), - } - }; - - int32x4x2_t out - { - { - wrapper::vdup_n(static_cast<int32_t>(0), OutputTagType{}), - wrapper::vdup_n(static_cast<int32_t>(0), OutputTagType{}), - } - }; + const VectorType vtop = {{wrapper::vload(in_top), wrapper::vload(in_top + 8)}}; + const VectorType vmid = {{wrapper::vload(in_mid), wrapper::vload(in_mid + 8)}}; + const VectorType vlow = {{wrapper::vload(in_low), wrapper::vload(in_low + 8)}}; + + const int32x4x3_t vtop_s32 = {{ + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[0])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgethigh(wrapper::vmovl(vtop.val[0])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vtop.val[1])))), + }}; + const int32x4x3_t vmid_s32 = {{ + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[0])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgethigh(wrapper::vmovl(vmid.val[0])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vmid.val[1])))), + }}; + const int32x4x3_t vlow_s32 = {{ + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[0])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgethigh(wrapper::vmovl(vlow.val[0])))), + wrapper::vaddw(v_input_offset, wrapper::vreinterpret(wrapper::vgetlow(wrapper::vmovl(vlow.val[1])))), + }}; + + int32x4x2_t out{{ + wrapper::vdup_n(static_cast<int32_t>(0), OutputTagType{}), + wrapper::vdup_n(static_cast<int32_t>(0), OutputTagType{}), + }}; // 0 out.val[0] = wrapper::vmla(out.val[0], vtop_s32.val[0], m0.val[0]); @@ -681,11 +603,11 @@ void convolve_3x3(const T1 *in_top, const T1 *in_mid, const T1 *in_low, T2 *out_ out.val[1] = wrapper::vmla(out.val[1], wrapper::vext_1(vlow_s32.val[1], vlow_s32.val[2]), m2.val[1]); out.val[1] = wrapper::vmla(out.val[1], wrapper::vext_2(vlow_s32.val[1], vlow_s32.val[2]), m2.val[2]); - if(stridex == 1) + if (stridex == 1) { accumulate ? accumulate_results<1>(out_ptr, out) : store_results<1>(out_ptr, out); } - else if(stridex == 2) + else if (stridex == 2) { out.val[0] = wrapper::vsetlane(wrapper::vgetlane(out.val[0], 2), out.val[0], 1); out.val[0] = wrapper::vsetlane(wrapper::vgetlane(out.val[1], 0), out.val[0], 2); @@ -693,7 +615,7 @@ void convolve_3x3(const T1 *in_top, const T1 *in_mid, const T1 *in_low, T2 *out_ accumulate ? accumulate_results<2>(out_ptr, out) : store_results<2>(out_ptr, out); } - else if(stridex == 3) + else if (stridex == 3) { out.val[0] = wrapper::vsetlane(wrapper::vgetlane(out.val[0], 3), out.val[0], 1); accumulate ? accumulate_results<3>(out_ptr, out) : store_results<3>(out_ptr, out); @@ -712,14 +634,7 @@ inline float16x8x3_t load_matrix_row(const float16_t *ptr, int weights_offset = 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 float16x8x3_t r = - { - { - vld1q_dup_f16(ptr), - vld1q_dup_f16(1 + ptr), - vld1q_dup_f16(2 + ptr) - } - }; + const float16x8x3_t r = {{vld1q_dup_f16(ptr), vld1q_dup_f16(1 + ptr), vld1q_dup_f16(2 + ptr)}}; return r; } @@ -735,35 +650,22 @@ inline float16x8x3_t load_matrix_row(const float16_t *ptr, int weights_offset = * @param[in] input_offset (Optional)Input quantization offset. * */ -inline float16x8_t single_convolve_3x3_dilation(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, - const size_t dilation_x, int input_offset = 0) +inline float16x8_t single_convolve_3x3_dilation(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, + const size_t dilation_x, + int input_offset = 0) { ARM_COMPUTE_UNUSED(input_offset); - const float16x8x3_t vtop = - { - { - vld1q_f16(in_top), - vld1q_f16(in_top + dilation_x), - vld1q_f16(in_top + 2 * dilation_x) - } - }; - const float16x8x3_t vmid = - { - { - vld1q_f16(in_mid), - vld1q_f16(in_mid + dilation_x), - vld1q_f16(in_mid + 2 * dilation_x) - } - }; - const float16x8x3_t vlow = - { - { - vld1q_f16(in_low), - vld1q_f16(in_low + dilation_x), - vld1q_f16(in_low + 2 * dilation_x) - } - }; + const float16x8x3_t vtop = { + {vld1q_f16(in_top), vld1q_f16(in_top + dilation_x), vld1q_f16(in_top + 2 * dilation_x)}}; + const float16x8x3_t vmid = { + {vld1q_f16(in_mid), vld1q_f16(in_mid + dilation_x), vld1q_f16(in_mid + 2 * dilation_x)}}; + const float16x8x3_t vlow = { + {vld1q_f16(in_low), vld1q_f16(in_low + dilation_x), vld1q_f16(in_low + 2 * dilation_x)}}; float16x8_t out = vmulq_f16(vtop.val[0], m0.val[0]); out = vaddq_f16(out, vmulq_f16(vtop.val[1], m0.val[1])); out = vaddq_f16(out, vmulq_f16(vtop.val[2], m0.val[2])); @@ -792,19 +694,21 @@ inline float16x8_t single_convolve_3x3_dilation(const float16_t *in_top, const f * @param[in] input_offset (Optional) Input quantization offset. * */ -inline float16x8x2_t convolve_3x3_dilation(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, - const size_t dilation_x, unsigned int stridex, int input_offset = 0) -{ - float16x8x2_t out = - { - { - single_convolve_3x3_dilation(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset), - single_convolve_3x3_dilation(in_top + 8, in_mid + 8, in_low + 8, m0, m1, m2, dilation_x, input_offset) - } - }; - - if(stridex == 2) +inline float16x8x2_t convolve_3x3_dilation(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, + const size_t dilation_x, + unsigned int stridex, + int input_offset = 0) +{ + float16x8x2_t out = { + {single_convolve_3x3_dilation(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset), + single_convolve_3x3_dilation(in_top + 8, in_mid + 8, in_low + 8, m0, m1, m2, dilation_x, input_offset)}}; + + if (stridex == 2) { 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[0], 4), out.val[0], 2); @@ -814,7 +718,7 @@ inline float16x8x2_t convolve_3x3_dilation(const float16_t *in_top, const float1 out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 4), out.val[0], 6); out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[1], 6), out.val[0], 7); } - else if(stridex == 3) + else if (stridex == 3) { out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 3), out.val[0], 1); out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 2); @@ -838,20 +742,20 @@ inline float16x8x2_t convolve_3x3_dilation(const float16_t *in_top, const float1 * */ template <bool accumulate> -inline void convolve_3x3(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, float16_t *out_ptr, - const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2, - unsigned int stridex, int input_offset = 0) +inline void convolve_3x3(const float16_t *in_top, + const float16_t *in_mid, + const float16_t *in_low, + float16_t *out_ptr, + const float16x8x3_t &m0, + const float16x8x3_t &m1, + const float16x8x3_t &m2, + unsigned int stridex, + int input_offset = 0) { ARM_COMPUTE_UNUSED(input_offset); - float16x8x2_t out = - { - { - vdupq_n_f16(0), - vdupq_n_f16(0) - } - }; - if(stridex == 2) + float16x8x2_t out = {{vdupq_n_f16(0), vdupq_n_f16(0)}}; + if (stridex == 2) { const float16x8x2_t vtop = vld2q_f16(in_top); const float16x8x2_t vmid = vld2q_f16(in_mid); @@ -877,32 +781,11 @@ inline void convolve_3x3(const float16_t *in_top, const float16_t *in_mid, const } else { - 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) - } - }; - out.val[0] = vmulq_f16(vtop.val[0], m0.val[0]); - out.val[1] = vmulq_f16(vtop.val[1], m0.val[0]); + 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)}}; + out.val[0] = vmulq_f16(vtop.val[0], m0.val[0]); + out.val[1] = 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])); @@ -921,7 +804,7 @@ inline void convolve_3x3(const float16_t *in_top, const float16_t *in_mid, const 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])); - if(stridex == 3) + if (stridex == 3) { out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 3), out.val[0], 1); out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 2); @@ -946,7 +829,7 @@ inline void convolve_3x3(const float16_t *in_top, const float16_t *in_mid, const */ inline int get_input_num_elems_processed(unsigned int num_elems_written_per_iteration, unsigned int stridex) { - switch(stridex) + switch (stridex) { case 1: return num_elems_written_per_iteration; @@ -959,6 +842,6 @@ inline int get_input_num_elems_processed(unsigned int num_elems_written_per_iter return 0; } } -} +} // namespace detail } // namespace arm_compute #endif /* ARM_COMPUTE_NEDIRECTCONVOLUTIONDETAIL_H */ |