diff options
Diffstat (limited to 'src/cpu/kernels/pool2d/neon/nchw/all.cpp')
-rw-r--r-- | src/cpu/kernels/pool2d/neon/nchw/all.cpp | 396 |
1 files changed, 1 insertions, 395 deletions
diff --git a/src/cpu/kernels/pool2d/neon/nchw/all.cpp b/src/cpu/kernels/pool2d/neon/nchw/all.cpp index ee4a67b0fb..0602bea667 100644 --- a/src/cpu/kernels/pool2d/neon/nchw/all.cpp +++ b/src/cpu/kernels/pool2d/neon/nchw/all.cpp @@ -28,6 +28,7 @@ #include "src/core/helpers/WindowHelpers.h" #include "src/core/NEON/wrapper/intrinsics/intrinsics.h" +#include "src/cpu/kernels/pool2d/neon/impl.h" #include "src/cpu/kernels/pool2d/neon/list.h" #include <limits> @@ -60,401 +61,6 @@ read_8_boundary_aware(int height, int width, int pad_left, int pad_top, int x, i return vec; } -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - -float16x4_t -read_4_boundary_aware_fp16(int srcw, int srch, int pad_l, int pad_t, int x, int y, const float16_t *ptr, float16_t fval) -{ - float16_t vec[4]; - const bool row_in_bounds((y >= pad_t) && (y < (srch + pad_t))); - for (int i = 0; i < 4; i++) - { - if (row_in_bounds && (x + i >= pad_l) && (x + i < (srcw + pad_l))) - { - vec[i] = *(ptr + i); - } - else - { - vec[i] = fval; - } - } - return wrapper::vload(vec); -} - -void pooling3_fp16_neon_nchw(const ITensor *src, - ITensor *dst0, - ITensor *dst1, - PoolingLayerInfo &pool_info, - const Window &window_src, - const Window &window) -{ - ARM_COMPUTE_UNUSED(dst1); - - Iterator in(src, window_src); - Iterator out(dst0, window); - - constexpr const int pool_size = 3; - const int pool_pad_right = pool_info.pad_stride_info.pad_right(); - const int pool_pad_top = pool_info.pad_stride_info.pad_top(); - const int pool_pad_left = pool_info.pad_stride_info.pad_left(); - const int pool_pad_bottom = pool_info.pad_stride_info.pad_bottom(); - int pool_stride_x = 0; - int pool_stride_y = 0; - std::tie(pool_stride_x, pool_stride_y) = pool_info.pad_stride_info.stride(); - const int src_w = src->info()->dimension(0); - const int src_h = src->info()->dimension(1); - const int upper_bound_w = src_w + (pool_info.exclude_padding ? 0 : pool_pad_right); - const int upper_bound_h = src_h + (pool_info.exclude_padding ? 0 : pool_pad_bottom); - const float16_t fp16_min = get_initial_min<half_float::half>(pool_info.use_inf_as_limit); - const float16_t fill_value = (pool_info.pool_type == PoolingType::MAX) ? fp16_min : 0.f; - const unsigned char *const src_top_ptr = - src->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); - const unsigned char *const src_middle_ptr = - src->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); - const unsigned char *const src_bottom_ptr = - src->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 2)); - - execute_window_loop( - window, - [&](const Coordinates &id) - { - const auto x_val = id.x() * pool_stride_x; - const auto y_val_0 = id.y() * pool_stride_y; - const auto y_val_1 = (id.y() * pool_stride_y) + 1; - const auto y_val_2 = (id.y() * pool_stride_y) + 2; - float16x4_t top_data = - read_4_boundary_aware_fp16(src_w, src_h, pool_pad_left, pool_pad_top, x_val, y_val_0, - reinterpret_cast<const float16_t *>(src_top_ptr + in.offset()), fill_value); - float16x4_t middle_data = read_4_boundary_aware_fp16( - src_w, src_h, pool_pad_left, pool_pad_top, x_val, y_val_1, - reinterpret_cast<const float16_t *>(src_middle_ptr + in.offset()), fill_value); - float16x4_t bottom_data = read_4_boundary_aware_fp16( - src_w, src_h, pool_pad_left, pool_pad_top, x_val, y_val_2, - reinterpret_cast<const float16_t *>(src_bottom_ptr + in.offset()), fill_value); - float16x4_t res = {}; - - // Get power of 2 in case of l2 pooling - if (pool_info.pool_type == PoolingType::L2) - { - top_data = vmul_f16(top_data, top_data); - middle_data = vmul_f16(middle_data, middle_data); - bottom_data = vmul_f16(bottom_data, bottom_data); - } - - if (pool_info.pool_type != PoolingType::MAX) - { - // Calculate scale - const float scale = calculate_avg_scale_pool2d( - pool_info.exclude_padding, DataLayout::NCHW, id, pool_size, pool_size, upper_bound_w, upper_bound_h, - pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); - const float16x4_t scale_v = vdup_n_f16(scale); - // Perform pooling - const float16x4_t sum_data = vadd_f16(vadd_f16(top_data, bottom_data), middle_data); - res = vpadd_f16(vset_lane_f16(0.f, sum_data, 3), sum_data); - res = vmul_f16(vpadd_f16(res, res), scale_v); - } - else - { - const float16x4_t max_data = vmax_f16(vmax_f16(top_data, bottom_data), middle_data); - res = vpmax_f16(vset_lane_f16(fp16_min, max_data, 3), max_data); - res = vpmax_f16(res, res); - } - - // Calculate square-root in case of l2 pooling - if (pool_info.pool_type == PoolingType::L2) - { - res = vsqrt_f16(res); - } - - *(reinterpret_cast<float16_t *>(out.ptr())) = vget_lane_f16(res, 0); - }, - in, out); -} - -template <typename T> -inline typename std::enable_if<std::is_same<T, float16_t>::value, float32x2_t>::type f16_to_f32(float16x4_t in) -{ - float32x2_t out = {static_cast<float>(vget_lane_f16(in, 0)), static_cast<float>(vget_lane_f16(in, 1))}; - return out; -} -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - -template <typename T> -inline typename std::enable_if<std::is_same<T, float>::value, float32x2_t>::type f16_to_f32(float32x2_t in) -{ - return in; -} - -template <typename T> -auto read_2_boundary_aware(int srcw, int srch, int pad_l, int pad_t, int x, int y, const T *ptr, T fval) -{ - T vec[2]; - const bool row_in_bounds((y >= pad_t) && (y < (srch + pad_t))); - for (int i = 0; i < 2; i++) - { - if (row_in_bounds && (x + i >= pad_l) && (x + i < (srcw + pad_l))) - { - vec[i] = *(ptr + i); - } - else - { - vec[i] = fval; - } - } - return wrapper::vload(vec); -} - -template <typename T> -void pooling2_nchw_maxpool_indices(const ITensor *src, - ITensor *dst0, - ITensor *dst1, - PoolingLayerInfo &pool_info, - const Window &window_src, - const Window &window) -{ - Iterator in(src, window_src); - Iterator out(dst0, window); - Iterator indices(dst1, window); - const int pool_pad_top = pool_info.pad_stride_info.pad_top(); - const int pool_pad_left = pool_info.pad_stride_info.pad_left(); - int pool_stride_x = 0; - int pool_stride_y = 0; - std::tie(pool_stride_x, pool_stride_y) = pool_info.pad_stride_info.stride(); - const int src_w = src->info()->dimension(0); - const int src_h = src->info()->dimension(1); - const uint8_t *const src_top_ptr = - src->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); - const uint8_t *const src_bottom_ptr = - src->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); - const int pad_left = src->info()->padding().left; - const int pad_right = src->info()->padding().right; - const int in_stride_y = static_cast<int>(src->info()->strides_in_bytes().y()); - const T float_min = get_initial_min<T>(pool_info.use_inf_as_limit); - const T fill_value = (pool_info.pool_type == PoolingType::MAX) ? float_min : 0.f; - - execute_window_loop( - window, - [&](const Coordinates &id) - { - const auto x_val = id.x() * pool_stride_x; - const auto y_val_0 = id.y() * pool_stride_y; - const auto y_val_1 = (id.y() * pool_stride_y) + 1; - auto top_data = read_2_boundary_aware(src_w, src_h, pool_pad_left, pool_pad_top, x_val, y_val_0, - reinterpret_cast<const T *>(src_top_ptr + in.offset()), fill_value); - auto bottom_data = - read_2_boundary_aware(src_w, src_h, pool_pad_left, pool_pad_top, x_val, y_val_1, - reinterpret_cast<const T *>(src_bottom_ptr + in.offset()), fill_value); - float32x2_t top_data_f32 = f16_to_f32<T>(top_data); - float32x2_t bottom_data_f32 = f16_to_f32<T>(bottom_data); - - // Calculate max data, compare top first, then bottom, to make sue the first max is recorded. - const float32x2_t max_data_top = vpmax_f32(top_data_f32, top_data_f32); - const float32x2_t max_data_bottom = vpmax_f32(bottom_data_f32, bottom_data_f32); - const float32x2_t max_data = vmax_f32(max_data_top, max_data_bottom); - *(reinterpret_cast<T *>(out.ptr())) = static_cast<T>(vget_lane_f32(max_data, 0)); - - // Calculate max data indice, which will be used in max unpool. - const uint32_t offset_base = - offset_no_padding<T>(in.offset(), id, *src->info(), pool_stride_x, pool_stride_y, DataLayout::NCHW); - const uint32_t offset_top = (uint32_t)(offset_base / sizeof(T)); - const uint32_t offset_bottom = offset_top + in_stride_y / sizeof(T) - pad_right - pad_left; - const uint32x2_t voffset_top = {offset_top, offset_top + 1u}; - const uint32x2_t voffset_bottom = {offset_bottom, offset_bottom + 1u}; - const uint32x2_t tmp_indices_top = - vbsl_u32(vcge_f32(top_data_f32, vrev64_f32(top_data_f32)), voffset_top, vrev64_u32(voffset_top)); - const uint32x2_t tmp_indices_bottom = vbsl_u32(vcge_f32(bottom_data_f32, vrev64_f32(bottom_data_f32)), - voffset_bottom, vrev64_u32(voffset_bottom)); - *(reinterpret_cast<int *>(indices.ptr())) = vget_lane_u32( - vbsl_u32(vcge_f32(max_data_top, max_data_bottom), tmp_indices_top, tmp_indices_bottom), 0); - }, - in, out, indices); -} - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -void pooling2_fp16_neon_nchw(const ITensor *src, - ITensor *dst0, - ITensor *dst1, - PoolingLayerInfo &pool_info, - const Window &window_src, - const Window &window) -{ - if (pool_info.pool_type == PoolingType::MAX && dst1) - { - pooling2_nchw_maxpool_indices<float16_t>(src, dst0, dst1, pool_info, window_src, window); - } - else - { - Iterator in(src, window_src); - Iterator out(dst0, window); - constexpr int pool_size = 2; - const int pool_pad_right = pool_info.pad_stride_info.pad_right(); - const int pool_pad_top = pool_info.pad_stride_info.pad_top(); - const int pool_pad_left = pool_info.pad_stride_info.pad_left(); - const int pool_pad_bottom = pool_info.pad_stride_info.pad_bottom(); - int pool_stride_x, pool_stride_y = 0; - std::tie(pool_stride_x, pool_stride_y) = pool_info.pad_stride_info.stride(); - const int src_w = src->info()->dimension(0); - const int src_h = src->info()->dimension(1); - const int upper_bound_w = src_w + (pool_info.exclude_padding ? 0 : pool_pad_right); - const int upper_bound_h = src_h + (pool_info.exclude_padding ? 0 : pool_pad_bottom); - const float16_t fp16_min = get_initial_min<half_float::half>(pool_info.use_inf_as_limit); - const float16_t fill_value = (pool_info.pool_type == PoolingType::MAX) ? fp16_min : 0.0f; - - const unsigned char *const src_top_ptr = - src->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); - const unsigned char *const src_bottom_ptr = - src->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); - - execute_window_loop( - window, - [&](const Coordinates &id) - { - const auto in_top_ptr = reinterpret_cast<const float16_t *>(src_top_ptr + in.offset()); - const auto in_bottom_ptr = reinterpret_cast<const float16_t *>(src_bottom_ptr + in.offset()); - - const auto x_val = id.x() * pool_stride_x; - const auto y_val_0 = id.y() * pool_stride_y; - const auto y_val_1 = (id.y() * pool_stride_y) + 1; - float16x4_t top_data = read_4_boundary_aware_fp16(src_w, src_h, pool_pad_left, pool_pad_top, x_val, - y_val_0, in_top_ptr, fill_value); - float16x4_t bottom_data = read_4_boundary_aware_fp16(src_w, src_h, pool_pad_left, pool_pad_top, x_val, - y_val_1, in_bottom_ptr, fill_value); - float16x4_t res = {}; - - // Get power of 2 in case of l2 pooling - if (pool_info.pool_type == PoolingType::L2) - { - top_data = vmul_f16(top_data, top_data); - bottom_data = vmul_f16(bottom_data, bottom_data); - } - - if (pool_info.pool_type != PoolingType::MAX) - { - const float scale = calculate_avg_scale_pool2d( - pool_info.exclude_padding, DataLayout::NCHW, id, pool_size, pool_size, upper_bound_w, - upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); - const float16x4_t scale_v = vdup_n_f16(scale); - - const float16x4_t sum_data = vadd_f16(top_data, bottom_data); - res = vmul_f16(vpadd_f16(sum_data, sum_data), scale_v); - } - else - { - const float16x4_t max_data = vmax_f16(top_data, bottom_data); - res = vpmax_f16(max_data, max_data); - } - - // Calculate square-root in case of l2 pooling - if (pool_info.pool_type == PoolingType::L2) - { - res = vsqrt_f16(res); - } - - // Store result - *(reinterpret_cast<float16_t *>(out.ptr())) = vget_lane_f16(res, 0); - }, - in, out); - } -} - -void poolingMxN_fp16_neon_nchw(const ITensor *src, - ITensor *dst0, - ITensor *dst1, - PoolingLayerInfo &pool_info, - const Window &window_src, - const Window &window) -{ - ARM_COMPUTE_UNUSED(dst1); - Iterator in(src, window_src); - Iterator out(dst0, window); - - const int pool_size_x = pool_info.is_global_pooling ? src->info()->tensor_shape().x() : pool_info.pool_size.width; - const int pool_size_y = pool_info.is_global_pooling ? src->info()->tensor_shape().y() : pool_info.pool_size.height; - const int pool_pad_right = pool_info.pad_stride_info.pad_right(); - const int pool_pad_top = pool_info.pad_stride_info.pad_top(); - const int pool_pad_left = pool_info.pad_stride_info.pad_left(); - const int pool_pad_bottom = pool_info.pad_stride_info.pad_bottom(); - int pool_stride_x = 0; - int pool_stride_y = 0; - std::tie(pool_stride_x, pool_stride_y) = pool_info.pad_stride_info.stride(); - const int src_w = src->info()->dimension(0); - const int src_h = src->info()->dimension(1); - const int upper_bound_w = src_w + (pool_info.exclude_padding ? 0 : pool_pad_right); - const int upper_bound_h = src_h + (pool_info.exclude_padding ? 0 : pool_pad_bottom); - const float16_t fp16_min = get_initial_min<half_float::half>(pool_info.use_inf_as_limit); - const float16_t fill_value = (pool_info.pool_type == PoolingType::MAX) ? fp16_min : 0.0f; - - execute_window_loop( - window, - [&](const Coordinates &id) - { - float16_t res = 0.0f; - - if (pool_info.pool_type != PoolingType::MAX) - { - // Calculate scale - const float16_t scale = calculate_avg_scale_pool2d( - pool_info.exclude_padding, DataLayout::NCHW, id, pool_size_x, pool_size_y, upper_bound_w, - upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); - - // Perform pooling - for (int y = 0; y < pool_size_y; ++y) - { - for (int x = 0; x < pool_size_x; ++x) - { - const auto ptr = reinterpret_cast<const float16_t *>( - in.ptr() + (x - pool_pad_left) * static_cast<int>(src->info()->strides_in_bytes().x()) + - (y - pool_pad_top) * static_cast<int>(src->info()->strides_in_bytes().y())); - - const int idx = x + id.x() * pool_stride_x - pool_pad_left; - const int idy = y + id.y() * pool_stride_y - pool_pad_top; - float16_t data = (idx < 0 || idy < 0 || idx >= src_w || idy >= src_h) ? fill_value : *ptr; - - if (pool_info.pool_type == PoolingType::L2) - { - data *= data; - } - - res += data; - } - } - - // Divide by scale - res *= scale; - } - else // if max pooling - { - res = fp16_min; - - for (int y = 0; y < pool_size_y; ++y) - { - for (int x = 0; x < pool_size_x; ++x) - { - const auto ptr = reinterpret_cast<const float16_t *>( - in.ptr() + (x - pool_pad_left) * static_cast<int>(src->info()->strides_in_bytes().x()) + - (y - pool_pad_top) * static_cast<int>(src->info()->strides_in_bytes().y())); - - const int idx = x + id.x() * pool_stride_x - pool_pad_left; - const int idy = y + id.y() * pool_stride_y - pool_pad_top; - float16_t data = (idx < 0 || idy < 0 || idx >= src_w || idy >= src_h) ? fill_value : *ptr; - res = std::max(res, data); - } - } - } - - // Calculate square-root in case of l2 pooling - if (pool_info.pool_type == PoolingType::L2) - { - res = std::sqrt(res); - } - - // Store result - *(reinterpret_cast<float16_t *>(out.ptr())) = res; - }, - in, out); -} -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - void poolingMxN_fp32_neon_nchw(const ITensor *src, ITensor *dst0, ITensor *dst1, |