diff options
Diffstat (limited to 'src/cpu/kernels/pool2d/neon/fp16.cpp')
| -rw-r--r-- | src/cpu/kernels/pool2d/neon/fp16.cpp | 295 |
1 files changed, 294 insertions, 1 deletions
diff --git a/src/cpu/kernels/pool2d/neon/fp16.cpp b/src/cpu/kernels/pool2d/neon/fp16.cpp index 4af59c2ad4..95ff7b7d69 100644 --- a/src/cpu/kernels/pool2d/neon/fp16.cpp +++ b/src/cpu/kernels/pool2d/neon/fp16.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" #if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) @@ -38,6 +39,116 @@ namespace cpu { namespace { +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); +} +} // namespace + +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); +} + void pooling2_f16_maxpool_indices(const ITensor *src, ITensor *dst0, ITensor *dst1, @@ -167,7 +278,189 @@ void pooling2_f16_maxpool_indices(const ITensor *src, }, in, out, indices); } -} // namespace + +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); +} void poolingMxN_fp16_neon_nhwc(const ITensor *src, ITensor *dst0, |