From aea14c63e2efeda9d5f7492099389d439c65204f Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Thu, 3 Jan 2019 11:10:25 +0000 Subject: COMPMID-1764 NEON: Implement ArgMax/ArgMin Change-Id: Ibe23aa90b36ffd8553d1d1c35fada5d300fab829 Reviewed-on: https://review.mlplatform.org/475 Reviewed-by: Isabella Gottardi Tested-by: Arm Jenkins Reviewed-by: Giuseppe Rossini --- .../NEON/kernels/NEReductionOperationKernel.cpp | 765 ++++++++++++++------- 1 file changed, 498 insertions(+), 267 deletions(-) (limited to 'src/core/NEON/kernels/NEReductionOperationKernel.cpp') diff --git a/src/core/NEON/kernels/NEReductionOperationKernel.cpp b/src/core/NEON/kernels/NEReductionOperationKernel.cpp index 9306e0303d..64e3cfe404 100644 --- a/src/core/NEON/kernels/NEReductionOperationKernel.cpp +++ b/src/core/NEON/kernels/NEReductionOperationKernel.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2018 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -31,6 +31,7 @@ #include "arm_compute/core/NEON/NEMath.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Validate.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/core/NEON/wrapper/wrapper.h" #include @@ -39,11 +40,225 @@ namespace arm_compute { namespace { +uint32x4x4_t calculate_index(uint32_t idx, float32x4_t a, float32x4_t b, uint32x4x4_t c, ReductionOperation op, int axis) +{ + uint32x4_t mask{ 0 }; + if(op == ReductionOperation::ARG_IDX_MIN) + { + mask = wrapper::vcgt(b, a); + } + else + { + mask = wrapper::vclt(b, a); + } + + uint32x4_t vec_idx = { idx, idx + 1, idx + 2, idx + 3 }; + if(axis != 0) + { + vec_idx = wrapper::vdup_n(idx, wrapper::traits::vector_128_tag{}); + } + uint32x4x4_t res = { wrapper::vbsl(mask, vec_idx, c.val[0]), 0, 0, 0 }; + + return res; +} + +uint32x4x4_t calculate_index(uint32_t idx, uint8x16_t a, uint8x16_t b, uint32x4x4_t c, ReductionOperation op, int axis) +{ + uint32x4x4_t mask{ 0 }; + uint8x16_t mask_u8{ 0 }; + if(op == ReductionOperation::ARG_IDX_MIN) + { + mask_u8 = wrapper::vcgt(b, a); + } + else + { + mask_u8 = wrapper::vclt(b, a); + } + mask.val[0] = wrapper::vmovl(wrapper::vgetlow(wrapper::vmovl(wrapper::vgetlow(mask_u8)))); + mask.val[1] = wrapper::vmovl(wrapper::vgethigh(wrapper::vmovl(wrapper::vgetlow(mask_u8)))); + mask.val[2] = wrapper::vmovl(wrapper::vgetlow(wrapper::vmovl(wrapper::vgethigh(mask_u8)))); + mask.val[3] = wrapper::vmovl(wrapper::vgethigh(wrapper::vmovl(wrapper::vgethigh(mask_u8)))); + uint32x4x4_t vec_idx = { { { idx + 0, idx + 1, idx + 2, idx + 3 }, + { idx + 4, idx + 5, idx + 6, idx + 7 }, + { idx + 8, idx + 9, idx + 10, idx + 11 }, + { idx + 12, idx + 13, idx + 14, idx + 15 } + } + }; + if(axis != 0) + { + vec_idx.val[0] = wrapper::vdup_n(idx, wrapper::traits::vector_128_tag{}); + vec_idx.val[1] = wrapper::vdup_n(idx, wrapper::traits::vector_128_tag{}); + vec_idx.val[2] = wrapper::vdup_n(idx, wrapper::traits::vector_128_tag{}); + vec_idx.val[3] = wrapper::vdup_n(idx, wrapper::traits::vector_128_tag{}); + } + uint32x4x4_t res = { vbslq_u32(mask.val[0], vec_idx.val[0], c.val[0]), + vbslq_u32(mask.val[1], vec_idx.val[1], c.val[1]), + vbslq_u32(mask.val[2], vec_idx.val[2], c.val[2]), + vbslq_u32(mask.val[3], vec_idx.val[3], c.val[3]) + }; + + return res; +} + +uint32_t calculate_vector_index(uint32x4x4_t vec_res_idx, float32x4_t vec_res_value, ReductionOperation op) +{ + uint32x4_t res_idx_mask{ 0 }; + uint32x4_t mask_ones = vdupq_n_u32(0xFFFFFFFF); + + if(op == ReductionOperation::ARG_IDX_MIN) + { + auto pmin = wrapper::vpmin(wrapper::vgethigh(vec_res_value), wrapper::vgetlow(vec_res_value)); + pmin = wrapper::vpmin(pmin, pmin); + auto mask = wrapper::vceq(vec_res_value, wrapper::vcombine(pmin, pmin)); + res_idx_mask = wrapper::vand(vec_res_idx.val[0], mask); + } + else + { + auto pmax = wrapper::vpmax(wrapper::vgethigh(vec_res_value), wrapper::vgetlow(vec_res_value)); + pmax = wrapper::vpmax(pmax, pmax); + auto mask = vceqq_f32(vec_res_value, wrapper::vcombine(pmax, pmax)); + res_idx_mask = wrapper::vand(vec_res_idx.val[0], mask); + } + + res_idx_mask = wrapper::vadd(res_idx_mask, mask_ones); + auto pmin = wrapper::vpmin(wrapper::vgethigh(res_idx_mask), wrapper::vgetlow(res_idx_mask)); + pmin = wrapper::vpmin(pmin, pmin); + uint32_t res = wrapper::vgetlane(pmin, 0); + + return (res - 0xFFFFFFFF); +} + +uint32_t calculate_vector_index(uint32x4x4_t vec_res_idx, uint8x16_t vec_res_value, ReductionOperation op) +{ + uint32x4x4_t res_idx_mask{ 0 }; + uint32x4_t mask_ones = vdupq_n_u32(0xFFFFFFFF); + uint8x16_t mask_u8{ 0 }; + if(op == ReductionOperation::ARG_IDX_MIN) + { + auto pmin = wrapper::vpmin(wrapper::vgethigh(vec_res_value), wrapper::vgetlow(vec_res_value)); + pmin = wrapper::vpmin(pmin, pmin); + pmin = wrapper::vpmin(pmin, pmin); + pmin = wrapper::vpmin(pmin, pmin); + mask_u8 = wrapper::vceq(vec_res_value, wrapper::vcombine(pmin, pmin)); + } + else + { + auto pmax = wrapper::vpmax(wrapper::vgethigh(vec_res_value), wrapper::vgetlow(vec_res_value)); + pmax = wrapper::vpmax(pmax, pmax); + pmax = wrapper::vpmax(pmax, pmax); + pmax = wrapper::vpmax(pmax, pmax); + mask_u8 = wrapper::vceq(vec_res_value, wrapper::vcombine(pmax, pmax)); + } + + // Widen vectors + auto wide_u16_1 = wrapper::vorr(vshll_n_u8(wrapper::vgetlow(mask_u8), 8), wrapper::vmovl(wrapper::vgetlow(mask_u8))); + auto wide_u16_2 = wrapper::vorr(vshll_n_u8(wrapper::vgethigh(mask_u8), 8), wrapper::vmovl(wrapper::vgethigh(mask_u8))); + auto wide_u32_1 = wrapper::vorr(vshll_n_u16(wrapper::vgetlow(wide_u16_1), 16), wrapper::vmovl(wrapper::vgetlow(wide_u16_1))); + auto wide_u32_2 = wrapper::vorr(vshll_n_u16(wrapper::vgethigh(wide_u16_1), 16), wrapper::vmovl(wrapper::vgethigh(wide_u16_1))); + auto wide_u32_3 = wrapper::vorr(vshll_n_u16(wrapper::vgetlow(wide_u16_2), 16), wrapper::vmovl(wrapper::vgetlow(wide_u16_2))); + auto wide_u32_4 = wrapper::vorr(vshll_n_u16(wrapper::vgethigh(wide_u16_2), 16), wrapper::vmovl(wrapper::vgethigh(wide_u16_2))); + res_idx_mask.val[0] = wrapper::vand(vec_res_idx.val[0], wide_u32_1); + res_idx_mask.val[1] = wrapper::vand(vec_res_idx.val[1], wide_u32_2); + res_idx_mask.val[2] = wrapper::vand(vec_res_idx.val[2], wide_u32_3); + res_idx_mask.val[3] = wrapper::vand(vec_res_idx.val[3], wide_u32_4); + res_idx_mask.val[0] = wrapper::vadd(res_idx_mask.val[0], mask_ones); + res_idx_mask.val[1] = wrapper::vadd(res_idx_mask.val[1], mask_ones); + res_idx_mask.val[2] = wrapper::vadd(res_idx_mask.val[2], mask_ones); + res_idx_mask.val[3] = wrapper::vadd(res_idx_mask.val[3], mask_ones); + + uint32_t res = 0xFFFFFFFF; + int iter = 0; + do + { + auto pmin = wrapper::vpmin(wrapper::vgethigh(res_idx_mask.val[iter]), wrapper::vgetlow(res_idx_mask.val[iter])); + pmin = wrapper::vpmin(pmin, pmin); + res = std::min(wrapper::vgetlane(pmin, 0), res); + iter++; + } + while(iter < 4); + + return (res - 0xFFFFFFFF); +} +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +uint32x4x4_t calculate_index(uint32_t idx, float16x8_t a, float16x8_t b, uint32x4x4_t c, ReductionOperation op, int axis) +{ + uint32x4x2_t mask{ 0 }; + uint16x8_t mask_u16{ 0 }; + if(op == ReductionOperation::ARG_IDX_MIN) + { + mask_u16 = wrapper::vcgt(b, a); + } + else + { + mask_u16 = wrapper::vclt(b, a); + } + mask.val[0] = wrapper::vmovl(wrapper::vgetlow(mask_u16)); + mask.val[1] = wrapper::vmovl(wrapper::vgethigh(mask_u16)); + uint32x4x2_t vec_idx = { { { idx + 0, idx + 1, idx + 2, idx + 3 }, + { idx + 4, idx + 5, idx + 6, idx + 7 } + } + }; + if(axis != 0) + { + vec_idx.val[0] = wrapper::vdup_n(idx, wrapper::traits::vector_128_tag{}); + vec_idx.val[1] = wrapper::vdup_n(idx, wrapper::traits::vector_128_tag{}); + } + uint32x4x4_t res = { wrapper::vbsl(mask.val[0], vec_idx.val[0], c.val[0]), + wrapper::vbsl(mask.val[1], vec_idx.val[1], c.val[1]), + 0, 0 + }; + + return res; +} + +uint32_t calculate_vector_index(uint32x4x4_t vec_res_idx, float16x8_t vec_res_value, ReductionOperation op) +{ + uint32x4x2_t res_idx_mask{ 0 }; + uint32x4_t mask_ones = vdupq_n_u32(0xFFFFFFFF); + uint16x8_t mask_u16; + if(op == ReductionOperation::ARG_IDX_MIN) + { + auto pmin = wrapper::vpmin(wrapper::vgethigh(vec_res_value), wrapper::vgetlow(vec_res_value)); + pmin = wrapper::vpmin(pmin, pmin); + pmin = wrapper::vpmin(pmin, pmin); + mask_u16 = wrapper::vceq(vec_res_value, wrapper::vcombine(pmin, pmin)); + } + else + { + auto pmax = wrapper::vpmax(wrapper::vgethigh(vec_res_value), wrapper::vgetlow(vec_res_value)); + pmax = wrapper::vpmax(pmax, pmax); + pmax = wrapper::vpmax(pmax, pmax); + mask_u16 = wrapper::vceq(vec_res_value, wrapper::vcombine(pmax, pmax)); + } + + // Widen vectors + auto wide_u32_1 = wrapper::vorr(vshll_n_u16(wrapper::vgetlow(mask_u16), 8), wrapper::vmovl(wrapper::vgetlow(mask_u16))); + auto wide_u32_2 = wrapper::vorr(vshll_n_u16(wrapper::vgethigh(mask_u16), 8), wrapper::vmovl(wrapper::vgethigh(mask_u16))); + res_idx_mask.val[0] = wrapper::vand(vec_res_idx.val[0], wide_u32_1); + res_idx_mask.val[1] = wrapper::vand(vec_res_idx.val[1], wide_u32_2); + res_idx_mask.val[0] = wrapper::vadd(res_idx_mask.val[0], mask_ones); + res_idx_mask.val[1] = wrapper::vadd(res_idx_mask.val[1], mask_ones); + + uint32_t res = 0xFFFFFFFF; + int iter = 0; + do + { + auto pmin = wrapper::vpmin(wrapper::vgethigh(res_idx_mask.val[iter]), wrapper::vgetlow(res_idx_mask.val[iter])); + pmin = wrapper::vpmin(pmin, pmin); + res = std::min(wrapper::vgetlane(pmin, 0), res); + iter++; + } + while(iter < 2); + + return (res - 0xFFFFFFFF); +} +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + template class Reducer { public: - static void reduceX(const Window &window, const ITensor *input, ITensor *output, F f) + static void reduceX(const Window &window, const ITensor *input, ITensor *output, F f, const ReductionOperation op) { // Set out window Window out_window(window); @@ -58,11 +273,11 @@ public: Iterator in(input, in_slice); Iterator out(output, out_slice); - f(in, out, in_slice, out_slice, *input->info()); + f(in, out, in_slice, out_slice, *input->info(), op); } while(window.slide_window_slice_1D(in_slice) && out_window.slide_window_slice_1D(out_slice)); } - static void reduceY(const Window &window, const ITensor *input, ITensor *output, F f) + static void reduceY(const Window &window, const ITensor *input, ITensor *output, F f, const ReductionOperation op) { // Set in window Window in_window(window); @@ -80,11 +295,11 @@ public: Iterator in(input, in_slice); Iterator out(output, out_slice); - f(in, out, in_slice, out_slice, *input->info(), 1); + f(in, out, in_slice, out_slice, *input->info(), 1, op); } while(in_window.slide_window_slice_2D(in_slice) && out_window.slide_window_slice_2D(out_slice)); } - static void reduceZ(const Window &window, const ITensor *input, ITensor *output, F f) + static void reduceZ(const Window &window, const ITensor *input, ITensor *output, F f, const ReductionOperation op) { // Set in window Window in_window(window); @@ -102,11 +317,11 @@ public: Iterator in(input, in_slice); Iterator out(output, out_slice); - f(in, out, in_slice, out_slice, *input->info(), 2); + f(in, out, in_slice, out_slice, *input->info(), 2, op); } while(in_window.slide_window_slice_3D(in_slice) && out_window.slide_window_slice_3D(out_slice)); } - static void reduceW(const Window &window, const ITensor *input, ITensor *output, F f) + static void reduceW(const Window &window, const ITensor *input, ITensor *output, F f, const ReductionOperation op) { // Set in/out window Window in_window(window); @@ -124,115 +339,205 @@ public: Iterator in(input, in_slice); Iterator out(output, out_slice); - f(in, out, in_slice, out_slice, *input->info(), 3); + f(in, out, in_slice, out_slice, *input->info(), 3, op); } while(in_window.slide_window_slice_4D(in_slice) && out_window.slide_window_slice_4D(out_slice)); } }; -template +template struct RedOpX { /** NEON vector tag type. */ using ExactTagType = typename wrapper::traits::neon_vector::tag_type; - inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice, const TensorInfo &in_info) + inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice, const TensorInfo &in_info, const ReductionOperation op) { ARM_COMPUTE_UNUSED(out_slice); - auto vec_sum_value = wrapper::vdup_n(static_cast(0.f), ExactTagType{}); + auto init_res_value = static_cast(0.f); + if(op == ReductionOperation::ARG_IDX_MAX || op == ReductionOperation::ARG_IDX_MIN) + { + init_res_value = *reinterpret_cast(input.ptr()); + } + auto vec_res_value = wrapper::vdup_n(init_res_value, ExactTagType{}); + uint32x4x4_t vec_res_idx{ 0 }; execute_window_loop(in_slice, [&](const Coordinates & id) { const auto in_ptr = reinterpret_cast(input.ptr()); const auto vec_elements = wrapper::vloadq(in_ptr); - if(op == ReductionOperation::SUM_SQUARE) - { - vec_sum_value = wrapper::vadd(wrapper::vmul(vec_elements, vec_elements), vec_sum_value); - } - else + switch(op) { - vec_sum_value = wrapper::vadd(vec_elements, vec_sum_value); + case ReductionOperation::SUM_SQUARE: + vec_res_value = wrapper::vadd(wrapper::vmul(vec_elements, vec_elements), vec_res_value); + break; + case ReductionOperation::MEAN_SUM: + case ReductionOperation::SUM: + vec_res_value = wrapper::vadd(vec_elements, vec_res_value); + break; + case ReductionOperation::ARG_IDX_MIN: + { + auto temp_vec_res_value = wrapper::vmin(vec_elements, vec_res_value); + vec_res_idx = calculate_index(id.x(), temp_vec_res_value, vec_res_value, vec_res_idx, op, 0); + vec_res_value = temp_vec_res_value; + break; + } + case ReductionOperation::ARG_IDX_MAX: + { + auto temp_vec_res_value = wrapper::vmax(vec_elements, vec_res_value); + vec_res_idx = calculate_index(id.x(), temp_vec_res_value, vec_res_value, vec_res_idx, op, 0); + vec_res_value = temp_vec_res_value; + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); } }, input); - auto carry_addition = wrapper::vpadd(wrapper::vgethigh(vec_sum_value), wrapper::vgetlow(vec_sum_value)); - for(int i = 0; i < S / 4; ++i) + switch(op) { - carry_addition = wrapper::vpadd(carry_addition, carry_addition); - } + case ReductionOperation::SUM: + case ReductionOperation::SUM_SQUARE: + case ReductionOperation::MEAN_SUM: + { + auto carry_res = wrapper::vpadd(wrapper::vgethigh(vec_res_value), wrapper::vgetlow(vec_res_value)); + for(int i = 0; i < S / 4; ++i) + { + carry_res = wrapper::vpadd(carry_res, carry_res); + } + auto res = wrapper::vgetlane(carry_res, 0); - auto res = wrapper::vgetlane(carry_addition, 0); - if(op == ReductionOperation::MEAN_SUM) - { - res /= in_info.dimension(0); - } + if(op == ReductionOperation::MEAN_SUM) + { + res /= in_info.dimension(0); + } - *(reinterpret_cast(output.ptr())) = res; + *(reinterpret_cast(output.ptr())) = res; + break; + } + case ReductionOperation::ARG_IDX_MIN: + case ReductionOperation::ARG_IDX_MAX: + { + auto res = calculate_vector_index(vec_res_idx, vec_res_value, op); + *(reinterpret_cast(output.ptr())) = res; + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); + } } }; -template struct RedOpX_qasymm8 { - inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice, const TensorInfo &in_info) + inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice, const TensorInfo &in_info, const ReductionOperation op) { ARM_COMPUTE_UNUSED(out_slice); - auto vec_sum_value1 = vdupq_n_u32(static_cast(0.f)); - auto vec_sum_value2 = vdupq_n_u32(static_cast(0.f)); - auto vec_sum_value3 = vdupq_n_u32(static_cast(0.f)); - auto vec_sum_value4 = vdupq_n_u32(static_cast(0.f)); + auto vec_res_value1 = vdupq_n_u32(static_cast(0.f)); + auto vec_res_value2 = vdupq_n_u32(static_cast(0.f)); + auto vec_res_value3 = vdupq_n_u32(static_cast(0.f)); + auto vec_res_value4 = vdupq_n_u32(static_cast(0.f)); + + uint8x16_t vec_res_value; + if(op == ReductionOperation::ARG_IDX_MAX || op == ReductionOperation::ARG_IDX_MIN) + { + vec_res_value = wrapper::vdup_n(*input.ptr(), wrapper::traits::vector_128_tag{}); + } + uint32x4x4_t vec_res_idx{ 0 }; execute_window_loop(in_slice, [&](const Coordinates & id) { const auto vec_elements = wrapper::vloadq(input.ptr()); - - const auto temp16x8t_1 = wrapper::vmovl(wrapper::vgetlow(vec_elements)); - const auto temp16x8t_2 = wrapper::vmovl(wrapper::vgethigh(vec_elements)); - - const auto temp32x4t_1 = wrapper::vmovl(wrapper::vgetlow(temp16x8t_1)); - const auto temp32x4t_2 = wrapper::vmovl(wrapper::vgethigh(temp16x8t_1)); - const auto temp32x4t_3 = wrapper::vmovl(wrapper::vgetlow(temp16x8t_2)); - const auto temp32x4t_4 = wrapper::vmovl(wrapper::vgethigh(temp16x8t_2)); - - vec_sum_value1 = wrapper::vadd(temp32x4t_1, vec_sum_value1); - vec_sum_value2 = wrapper::vadd(temp32x4t_2, vec_sum_value2); - vec_sum_value3 = wrapper::vadd(temp32x4t_3, vec_sum_value3); - vec_sum_value4 = wrapper::vadd(temp32x4t_4, vec_sum_value4); + switch(op) + { + case ReductionOperation::SUM: + case ReductionOperation::MEAN_SUM: + { + const auto temp16x8t_1 = wrapper::vmovl(wrapper::vgetlow(vec_elements)); + const auto temp16x8t_2 = wrapper::vmovl(wrapper::vgethigh(vec_elements)); + + const auto temp32x4t_1 = wrapper::vmovl(wrapper::vgetlow(temp16x8t_1)); + const auto temp32x4t_2 = wrapper::vmovl(wrapper::vgethigh(temp16x8t_1)); + const auto temp32x4t_3 = wrapper::vmovl(wrapper::vgetlow(temp16x8t_2)); + const auto temp32x4t_4 = wrapper::vmovl(wrapper::vgethigh(temp16x8t_2)); + + vec_res_value1 = wrapper::vadd(temp32x4t_1, vec_res_value1); + vec_res_value2 = wrapper::vadd(temp32x4t_2, vec_res_value2); + vec_res_value3 = wrapper::vadd(temp32x4t_3, vec_res_value3); + vec_res_value4 = wrapper::vadd(temp32x4t_4, vec_res_value4); + break; + } + case ReductionOperation::ARG_IDX_MIN: + { + auto temp_vec_res_value = wrapper::vmin(vec_elements, vec_res_value); + vec_res_idx = calculate_index(id.x(), temp_vec_res_value, vec_res_value, vec_res_idx, op, 0); + vec_res_value = temp_vec_res_value; + break; + } + case ReductionOperation::ARG_IDX_MAX: + { + auto temp_vec_res_value = wrapper::vmax(vec_elements, vec_res_value); + vec_res_idx = calculate_index(id.x(), temp_vec_res_value, vec_res_value, vec_res_idx, op, 0); + vec_res_value = temp_vec_res_value; + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); + } }, input); - auto carry_addition = wrapper::vadd(vec_sum_value1, vec_sum_value2); - carry_addition = wrapper::vadd(carry_addition, vec_sum_value3); - carry_addition = wrapper::vadd(carry_addition, vec_sum_value4); - - auto carry_paddition = wrapper::vpadd(wrapper::vgethigh(carry_addition), wrapper::vgetlow(carry_addition)); - carry_paddition = wrapper::vpadd(carry_paddition, carry_paddition); - auto res = wrapper::vgetlane(carry_paddition, 0); - - if(op == ReductionOperation::MEAN_SUM) + if(op == ReductionOperation::ARG_IDX_MIN || op == ReductionOperation::ARG_IDX_MAX) { - res /= in_info.dimension(0); + auto res = calculate_vector_index(vec_res_idx, vec_res_value, op); + *(reinterpret_cast(output.ptr())) = res; } + else + { + auto carry_res = wrapper::vadd(vec_res_value1, vec_res_value2); + carry_res = wrapper::vadd(carry_res, vec_res_value3); + carry_res = wrapper::vadd(carry_res, vec_res_value4); - *(output.ptr()) = static_cast(res); + auto carry_paddition = wrapper::vpadd(wrapper::vgethigh(carry_res), wrapper::vgetlow(carry_res)); + carry_paddition = wrapper::vpadd(carry_paddition, carry_paddition); + auto res = wrapper::vgetlane(carry_paddition, 0); + + if(op == ReductionOperation::MEAN_SUM) + { + res /= in_info.dimension(0); + } + + *(output.ptr()) = static_cast(res); + } } }; -template +template struct RedOpYZW { /** NEON vector tag type. */ using ExactTagType = typename wrapper::traits::neon_vector::tag_type; + using neon_vector = typename wrapper::traits::neon_vector::type; - inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice, const TensorInfo &in_info, int axis) + inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice, const TensorInfo &in_info, int axis, const ReductionOperation op) { ARM_COMPUTE_UNUSED(out_slice); execute_window_loop(in_slice, [&](const Coordinates & id) { - auto vec_sum_value = wrapper::vdup_n(static_cast(0.f), ExactTagType{}); + neon_vector vec_res_value; + if(op == ReductionOperation::ARG_IDX_MAX || op == ReductionOperation::ARG_IDX_MIN) + { + vec_res_value = wrapper::vloadq(reinterpret_cast(input.ptr())); + } + else + { + vec_res_value = wrapper::vdup_n(static_cast(0.f), ExactTagType{}); + } + uint32x4x4_t vec_res_idx{ 0 }; + for(unsigned int dim = 0; dim < in_info.dimension(axis); ++dim) { T *in_ptr; @@ -252,41 +557,68 @@ struct RedOpYZW } const auto vec_elements = wrapper::vloadq(in_ptr); - if(op == ReductionOperation::SUM_SQUARE) + switch(op) { - vec_sum_value = wrapper::vadd(wrapper::vmul(vec_elements, vec_elements), vec_sum_value); - } - else - { - vec_sum_value = wrapper::vadd(vec_elements, vec_sum_value); + case ReductionOperation::SUM: + case ReductionOperation::MEAN_SUM: + vec_res_value = wrapper::vadd(vec_elements, vec_res_value); + break; + case ReductionOperation::SUM_SQUARE: + vec_res_value = wrapper::vadd(wrapper::vmul(vec_elements, vec_elements), vec_res_value); + break; + case ReductionOperation::ARG_IDX_MIN: + { + auto temp_vec_res_value = wrapper::vmin(vec_elements, vec_res_value); + vec_res_idx = calculate_index(dim, temp_vec_res_value, vec_res_value, vec_res_idx, op, axis); + vec_res_value = temp_vec_res_value; + break; + } + case ReductionOperation::ARG_IDX_MAX: + { + auto temp_vec_res_value = wrapper::vmax(vec_elements, vec_res_value); + vec_res_idx = calculate_index(dim, temp_vec_res_value, vec_res_value, vec_res_idx, op, axis); + vec_res_value = temp_vec_res_value; + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); } } if(op == ReductionOperation::MEAN_SUM) { auto vec_width_inv = wrapper::vinv(wrapper::vdup_n(static_cast(in_info.dimension(axis)), ExactTagType{})); - vec_sum_value = wrapper::vmul(vec_sum_value, vec_width_inv); + vec_res_value = wrapper::vmul(vec_res_value, vec_width_inv); } - wrapper::vstore(reinterpret_cast(output.ptr()), vec_sum_value); + if(op == ReductionOperation::ARG_IDX_MIN || op == ReductionOperation::ARG_IDX_MAX) + { + wrapper::vstore(reinterpret_cast(output.ptr()), vec_res_idx.val[0]); + } + else + { + wrapper::vstore(reinterpret_cast(output.ptr()), vec_res_value); + } }, input, output); } }; -template struct RedOpYZW_qasymm8 { - inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice, const TensorInfo &in_info, int axis) + inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice, const TensorInfo &in_info, int axis, const ReductionOperation op) { ARM_COMPUTE_UNUSED(out_slice); execute_window_loop(in_slice, [&](const Coordinates & id) { - auto vec_sum_value1 = vdupq_n_u32(static_cast(0.f)); - auto vec_sum_value2 = vdupq_n_u32(static_cast(0.f)); - auto vec_sum_value3 = vdupq_n_u32(static_cast(0.f)); - auto vec_sum_value4 = vdupq_n_u32(static_cast(0.f)); + uint32x4x4_t vec_res_idx{ 0 }; + auto vec_res_value1 = vdupq_n_u32(0); + auto vec_res_value2 = vdupq_n_u32(0); + auto vec_res_value3 = vdupq_n_u32(0); + auto vec_res_value4 = vdupq_n_u32(0); + auto vec_res_value = wrapper::vloadq(input.ptr()); + for(unsigned int dim = 0; dim < in_info.dimension(axis); ++dim) { uint8_t *in_ptr; @@ -306,169 +638,78 @@ struct RedOpYZW_qasymm8 } const auto vec_elements = wrapper::vloadq(in_ptr); - const auto temp16x8t_1 = wrapper::vmovl(wrapper::vgetlow(vec_elements)); - const auto temp16x8t_2 = wrapper::vmovl(wrapper::vgethigh(vec_elements)); - - const auto temp32x4t_1 = wrapper::vmovl(wrapper::vgetlow(temp16x8t_1)); - const auto temp32x4t_2 = wrapper::vmovl(wrapper::vgethigh(temp16x8t_1)); - const auto temp32x4t_3 = wrapper::vmovl(wrapper::vgetlow(temp16x8t_2)); - const auto temp32x4t_4 = wrapper::vmovl(wrapper::vgethigh(temp16x8t_2)); - - vec_sum_value1 = wrapper::vadd(temp32x4t_1, vec_sum_value1); - vec_sum_value2 = wrapper::vadd(temp32x4t_2, vec_sum_value2); - vec_sum_value3 = wrapper::vadd(temp32x4t_3, vec_sum_value3); - vec_sum_value4 = wrapper::vadd(temp32x4t_4, vec_sum_value4); + switch(op) + { + case ReductionOperation::SUM: + case ReductionOperation::MEAN_SUM: + { + const auto temp16x8t_1 = wrapper::vmovl(wrapper::vgetlow(vec_elements)); + const auto temp16x8t_2 = wrapper::vmovl(wrapper::vgethigh(vec_elements)); + + const auto temp32x4t_1 = wrapper::vmovl(wrapper::vgetlow(temp16x8t_1)); + const auto temp32x4t_2 = wrapper::vmovl(wrapper::vgethigh(temp16x8t_1)); + const auto temp32x4t_3 = wrapper::vmovl(wrapper::vgetlow(temp16x8t_2)); + const auto temp32x4t_4 = wrapper::vmovl(wrapper::vgethigh(temp16x8t_2)); + + vec_res_value1 = wrapper::vadd(temp32x4t_1, vec_res_value1); + vec_res_value2 = wrapper::vadd(temp32x4t_2, vec_res_value2); + vec_res_value3 = wrapper::vadd(temp32x4t_3, vec_res_value3); + vec_res_value4 = wrapper::vadd(temp32x4t_4, vec_res_value4); + break; + } + case ReductionOperation::ARG_IDX_MIN: + { + auto temp_vec_res_value = wrapper::vmin(vec_elements, vec_res_value); + vec_res_idx = calculate_index(dim, temp_vec_res_value, vec_res_value, vec_res_idx, op, axis); + vec_res_value = temp_vec_res_value; + break; + } + case ReductionOperation::ARG_IDX_MAX: + { + auto temp_vec_res_value = wrapper::vmax(vec_elements, vec_res_value); + vec_res_idx = calculate_index(dim, temp_vec_res_value, vec_res_value, vec_res_idx, op, axis); + vec_res_value = temp_vec_res_value; + break; + } + default: + ARM_COMPUTE_ERROR("Not supported"); + } } if(op == ReductionOperation::MEAN_SUM) { const auto vec_width_inv = wrapper::vinv(vdupq_n_f32(in_info.dimension(axis))); - const auto vec_sum_value1_f = wrapper::vmul(vcvtq_f32_u32(vec_sum_value1), vec_width_inv); - const auto vec_sum_value2_f = wrapper::vmul(vcvtq_f32_u32(vec_sum_value2), vec_width_inv); - const auto vec_sum_value3_f = wrapper::vmul(vcvtq_f32_u32(vec_sum_value3), vec_width_inv); - const auto vec_sum_value4_f = wrapper::vmul(vcvtq_f32_u32(vec_sum_value4), vec_width_inv); - - vec_sum_value1 = vcvtq_u32_f32(vec_sum_value1_f); - vec_sum_value2 = vcvtq_u32_f32(vec_sum_value2_f); - vec_sum_value3 = vcvtq_u32_f32(vec_sum_value3_f); - vec_sum_value4 = vcvtq_u32_f32(vec_sum_value4_f); - } - - const auto temp16x8t_1 = vcombine_u16(wrapper::vqmovn(vec_sum_value1), wrapper::vqmovn(vec_sum_value2)); - const auto temp16x8t_2 = vcombine_u16(wrapper::vqmovn(vec_sum_value3), wrapper::vqmovn(vec_sum_value4)); - auto res = vcombine_u8(wrapper::vqmovn(temp16x8t_1), wrapper::vqmovn(temp16x8t_2)); - wrapper::vstore(output.ptr(), res); - }, - input, output); - } -}; - -void reduce_sumsq(const Window &window, const ITensor *input, ITensor *output, unsigned int axis) -{ - switch(axis) - { - case 0: - switch(input->info()->data_type()) - { -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - return Reducer>::reduceX(window, input, output, RedOpX()); -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F32: - return Reducer>::reduceX(window, input, output, RedOpX()); - case DataType::QASYMM8: - default: - ARM_COMPUTE_ERROR("Not supported"); - } - case 1: - switch(input->info()->data_type()) - { -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - return Reducer>::reduceY(window, input, output, RedOpYZW()); -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F32: - return Reducer>::reduceY(window, input, output, RedOpYZW()); - case DataType::QASYMM8: - default: - ARM_COMPUTE_ERROR("Not supported"); + const auto vec_res_value1_f = wrapper::vmul(vcvtq_f32_u32(vec_res_value1), vec_width_inv); + const auto vec_res_value2_f = wrapper::vmul(vcvtq_f32_u32(vec_res_value2), vec_width_inv); + const auto vec_res_value3_f = wrapper::vmul(vcvtq_f32_u32(vec_res_value3), vec_width_inv); + const auto vec_res_value4_f = wrapper::vmul(vcvtq_f32_u32(vec_res_value4), vec_width_inv); + + vec_res_value1 = vcvtq_u32_f32(vec_res_value1_f); + vec_res_value2 = vcvtq_u32_f32(vec_res_value2_f); + vec_res_value3 = vcvtq_u32_f32(vec_res_value3_f); + vec_res_value4 = vcvtq_u32_f32(vec_res_value4_f); } - case 2: - switch(input->info()->data_type()) + if(op == ReductionOperation::ARG_IDX_MIN || op == ReductionOperation::ARG_IDX_MAX) { -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - return Reducer>::reduceZ(window, input, output, RedOpYZW()); -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F32: - return Reducer>::reduceZ(window, input, output, RedOpYZW()); - case DataType::QASYMM8: - default: - ARM_COMPUTE_ERROR("Not supported"); + wrapper::vstore(reinterpret_cast(output.ptr()), vec_res_idx.val[0]); + wrapper::vstore(reinterpret_cast(output.ptr()) + 4, vec_res_idx.val[1]); + wrapper::vstore(reinterpret_cast(output.ptr()) + 8, vec_res_idx.val[2]); + wrapper::vstore(reinterpret_cast(output.ptr()) + 12, vec_res_idx.val[3]); } - case 3: - switch(input->info()->data_type()) + else { -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - return Reducer>::reduceW(window, input, output, RedOpYZW()); -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F32: - return Reducer>::reduceW(window, input, output, RedOpYZW()); - case DataType::QASYMM8: - default: - ARM_COMPUTE_ERROR("Not supported"); + const auto temp16x8t_1 = vcombine_u16(wrapper::vqmovn(vec_res_value1), wrapper::vqmovn(vec_res_value2)); + const auto temp16x8t_2 = vcombine_u16(wrapper::vqmovn(vec_res_value3), wrapper::vqmovn(vec_res_value4)); + auto res = vcombine_u8(wrapper::vqmovn(temp16x8t_1), wrapper::vqmovn(temp16x8t_2)); + wrapper::vstore(output.ptr(), res); } - default: - ARM_COMPUTE_ERROR("Unsupported reduction axis"); - } -} -void reduce_sum(const Window &window, const ITensor *input, ITensor *output, unsigned int axis) -{ - switch(axis) - { - case 0: - switch(input->info()->data_type()) - { - case DataType::QASYMM8: - return Reducer>::reduceX(window, input, output, RedOpX_qasymm8()); -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - return Reducer>::reduceX(window, input, output, RedOpX()); -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F32: - return Reducer>::reduceX(window, input, output, RedOpX()); - default: - ARM_COMPUTE_ERROR("Not supported"); - } - case 1: - switch(input->info()->data_type()) - { - case DataType::QASYMM8: - return Reducer>::reduceY(window, input, output, RedOpYZW_qasymm8()); -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - return Reducer>::reduceY(window, input, output, RedOpYZW()); -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F32: - return Reducer>::reduceY(window, input, output, RedOpYZW()); - default: - ARM_COMPUTE_ERROR("Not supported"); - } - case 2: - switch(input->info()->data_type()) - { - case DataType::QASYMM8: - return Reducer>::reduceZ(window, input, output, RedOpYZW_qasymm8()); -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - return Reducer>::reduceZ(window, input, output, RedOpYZW()); -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F32: - return Reducer>::reduceZ(window, input, output, RedOpYZW()); - default: - ARM_COMPUTE_ERROR("Not supported"); - } - case 3: - switch(input->info()->data_type()) - { - case DataType::QASYMM8: - return Reducer>::reduceW(window, input, output, RedOpYZW_qasymm8()); -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - return Reducer>::reduceW(window, input, output, RedOpYZW()); -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F32: - return Reducer>::reduceW(window, input, output, RedOpYZW()); - default: - ARM_COMPUTE_ERROR("Not supported"); - } - default: - ARM_COMPUTE_ERROR("Unsupported reduction axis"); + }, + input, output); } -} -void reduce_mean_sum(const Window &window, const ITensor *input, ITensor *output, unsigned int axis) +}; + +void reduce_op(const Window &window, const ITensor *input, ITensor *output, unsigned int axis, const ReductionOperation op) { switch(axis) { @@ -476,13 +717,13 @@ void reduce_mean_sum(const Window &window, const ITensor *input, ITensor *output switch(input->info()->data_type()) { case DataType::QASYMM8: - return Reducer>::reduceX(window, input, output, RedOpX_qasymm8()); + return Reducer::reduceX(window, input, output, RedOpX_qasymm8(), op); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC case DataType::F16: - return Reducer>::reduceX(window, input, output, RedOpX()); + return Reducer>::reduceX(window, input, output, RedOpX(), op); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC case DataType::F32: - return Reducer>::reduceX(window, input, output, RedOpX()); + return Reducer>::reduceX(window, input, output, RedOpX(), op); default: ARM_COMPUTE_ERROR("Not supported"); } @@ -490,13 +731,13 @@ void reduce_mean_sum(const Window &window, const ITensor *input, ITensor *output switch(input->info()->data_type()) { case DataType::QASYMM8: - return Reducer>::reduceY(window, input, output, RedOpYZW_qasymm8()); + return Reducer::reduceY(window, input, output, RedOpYZW_qasymm8(), op); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC case DataType::F16: - return Reducer>::reduceY(window, input, output, RedOpYZW()); + return Reducer>::reduceY(window, input, output, RedOpYZW(), op); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC case DataType::F32: - return Reducer>::reduceY(window, input, output, RedOpYZW()); + return Reducer>::reduceY(window, input, output, RedOpYZW(), op); default: ARM_COMPUTE_ERROR("Not supported"); } @@ -504,13 +745,13 @@ void reduce_mean_sum(const Window &window, const ITensor *input, ITensor *output switch(input->info()->data_type()) { case DataType::QASYMM8: - return Reducer>::reduceZ(window, input, output, RedOpYZW_qasymm8()); + return Reducer::reduceZ(window, input, output, RedOpYZW_qasymm8(), op); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC case DataType::F16: - return Reducer>::reduceZ(window, input, output, RedOpYZW()); + return Reducer>::reduceZ(window, input, output, RedOpYZW(), op); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC case DataType::F32: - return Reducer>::reduceZ(window, input, output, RedOpYZW()); + return Reducer>::reduceZ(window, input, output, RedOpYZW(), op); default: ARM_COMPUTE_ERROR("Not supported"); } @@ -518,13 +759,13 @@ void reduce_mean_sum(const Window &window, const ITensor *input, ITensor *output switch(input->info()->data_type()) { case DataType::QASYMM8: - return Reducer>::reduceW(window, input, output, RedOpYZW_qasymm8()); + return Reducer::reduceW(window, input, output, RedOpYZW_qasymm8(), op); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC case DataType::F16: - return Reducer>::reduceW(window, input, output, RedOpYZW()); + return Reducer>::reduceW(window, input, output, RedOpYZW(), op); #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC case DataType::F32: - return Reducer>::reduceW(window, input, output, RedOpYZW()); + return Reducer>::reduceW(window, input, output, RedOpYZW(), op); default: ARM_COMPUTE_ERROR("Not supported"); } @@ -533,14 +774,6 @@ void reduce_mean_sum(const Window &window, const ITensor *input, ITensor *output } } -TensorShape calculate_output_shape(const TensorShape &input_shape, unsigned int axis) -{ - TensorShape output_shape{ input_shape }; - output_shape.set(axis, 1); - - return output_shape; -} - Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op) { ARM_COMPUTE_UNUSED(op); @@ -553,10 +786,19 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, u if(output->total_size() != 0) { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + bool is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX || op == ReductionOperation::ARG_IDX_MIN); + if(!is_arg_min_max) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + } + else + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U32); + } + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); - const TensorShape output_shape = calculate_output_shape(input->tensor_shape(), axis); + const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(input->tensor_shape(), axis); const TensorInfo tensor_info_reshaped = input->clone()->set_tensor_shape(output_shape); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_reshaped); } @@ -564,13 +806,15 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, u return Status{}; } -std::tuple validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, unsigned int axis) +std::tuple validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, unsigned int axis, ReductionOperation op) { // Calculate output shape and set if empty - const TensorShape output_shape = calculate_output_shape(input->tensor_shape(), axis); + const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(input->tensor_shape(), axis); // Output auto initialization if not yet initialized - auto_init_if_empty(*output, output_shape, 1, input->data_type()); + const bool is_arg_min_max = (op == ReductionOperation::ARG_IDX_MIN || op == ReductionOperation::ARG_IDX_MAX); + DataType output_data_type = is_arg_min_max ? DataType::U32 : input->data_type(); + auto_init_if_empty(*output, output_shape, 1, output_data_type); unsigned int num_elems_processed_per_iteration = 16 / data_size_from_type(input->data_type()); @@ -613,7 +857,7 @@ void NEReductionOperationKernel::configure(const ITensor *input, ITensor *output _reduction_axis = axis; // Configure kernel window - auto win_config = validate_and_configure_window(_input->info(), _output->info(), axis); + auto win_config = validate_and_configure_window(_input->info(), _output->info(), axis, op); ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config)); @@ -623,7 +867,7 @@ void NEReductionOperationKernel::configure(const ITensor *input, ITensor *output Status NEReductionOperationKernel::validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, axis, op)); - ARM_COMPUTE_RETURN_ON_ERROR(std::get<0>(validate_and_configure_window(input->clone().get(), output->clone().get(), axis))); + ARM_COMPUTE_RETURN_ON_ERROR(std::get<0>(validate_and_configure_window(input->clone().get(), output->clone().get(), axis, op))); return Status{}; } @@ -634,19 +878,6 @@ void NEReductionOperationKernel::run(const Window &window, const ThreadInfo &inf ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - switch(_op) - { - case ReductionOperation::SUM_SQUARE: - reduce_sumsq(window, _input, _output, _reduction_axis); - break; - case ReductionOperation::MEAN_SUM: - reduce_mean_sum(window, _input, _output, _reduction_axis); - break; - case ReductionOperation::SUM: - reduce_sum(window, _input, _output, _reduction_axis); - break; - default: - ARM_COMPUTE_ERROR("Unsupported reduction operation."); - } + reduce_op(window, _input, _output, _reduction_axis, _op); } } // namespace arm_compute -- cgit v1.2.1