diff options
Diffstat (limited to 'src/cpu/kernels/meanstddevnorm/generic/neon')
| -rw-r--r-- | src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp | 110 | ||||
| -rw-r--r-- | src/cpu/kernels/meanstddevnorm/generic/neon/fp32.cpp | 35 | ||||
| -rw-r--r-- | src/cpu/kernels/meanstddevnorm/generic/neon/impl.cpp | 108 | ||||
| -rw-r--r-- | src/cpu/kernels/meanstddevnorm/generic/neon/impl.h | 38 | ||||
| -rw-r--r-- | src/cpu/kernels/meanstddevnorm/generic/neon/qasymm8.cpp | 145 |
5 files changed, 436 insertions, 0 deletions
diff --git a/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp b/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp new file mode 100644 index 0000000000..344b9df0c8 --- /dev/null +++ b/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp @@ -0,0 +1,110 @@ +/* + * Copyright (c) 2022-2024 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) + +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/cpu/CpuTypes.h" +#include "src/cpu/kernels/meanstddevnorm/generic/neon/impl.h" + +namespace arm_compute +{ +namespace cpu +{ +template <> +void mean_stddev_normalization<float16_t, 8>(ITensor *input, ITensor *output, float epsilon, const Window &window) +{ + // Set build options + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + const int window_step_x = 8; + const auto window_start_x = static_cast<int>(window.x().start()); + const auto window_end_x = static_cast<int>(window.x().end()); + + Iterator input_itr(input, win); + Iterator output_itr(output, win); + + execute_window_loop( + win, + [&](const Coordinates &) + { + int x = window_start_x; + auto in_ptr = reinterpret_cast<const float16_t *>(input_itr.ptr()); + auto out_ptr = reinterpret_cast<float16_t *>(output_itr.ptr()); + + float16x8_t sum_vec = vdupq_n_f16(static_cast<float16_t>(0.0f)); + float32x4_t sum_sq_vec = vdupq_n_f32(0.0f); + + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + float16x8_t data = vld1q_f16(in_ptr + x); + sum_vec = vaddq_f16(sum_vec, data); + float32x4_t dl = vcvt_f32_f16(vget_low_f16(data)); + float32x4_t dh = vcvt_f32_f16(vget_high_f16(data)); + sum_sq_vec = vaddq_f32(sum_sq_vec, vmulq_f32(dl, dl)); + sum_sq_vec = vaddq_f32(sum_sq_vec, vmulq_f32(dh, dh)); + } + + float32x4_t sum_carry_res = + vpaddq_f32(vcvt_f32_f16(vget_high_f16(sum_vec)), vcvt_f32_f16(vget_low_f16(sum_vec))); + float sum = vaddvq_f32(sum_carry_res); + float sum_sq = vaddvq_f32(sum_sq_vec); + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const float fdata = static_cast<float>(*(in_ptr + x)); + sum += fdata; + sum_sq += fdata * fdata; + } + + float16_t mean = static_cast<float16_t>(sum / input->info()->dimension(0)); + float var = (sum_sq / input->info()->dimension(0)) - (mean * mean); + float16_t stddev_inv = static_cast<float16_t>(1.f / sqrt(var + epsilon)); + + float16x8_t mean_vec = vdupq_n_f16(mean); + float16x8_t stddev_inv_vec = vdupq_n_f16(stddev_inv); + + for (x = window_start_x; x <= (window_end_x - window_step_x); x += window_step_x) + { + float16x8_t data = vld1q_f16(in_ptr + x); + float16x8_t res = vmulq_f16(vsubq_f16(data, mean_vec), stddev_inv_vec); + // Store results + vst1q_f16(out_ptr + x, res); + } + for (; x < window_end_x; ++x) + { + *(out_ptr + x) = (*(in_ptr + x) - mean) * stddev_inv; + } + }, + input_itr, output_itr); +} + +void neon_fp16_meanstddevnorm(ITensor *input, ITensor *output, float epsilon, const Window &window) +{ + return mean_stddev_normalization<float16_t, 8>(input, output, epsilon, window); +} +} // namespace cpu +} // namespace arm_compute +#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */ diff --git a/src/cpu/kernels/meanstddevnorm/generic/neon/fp32.cpp b/src/cpu/kernels/meanstddevnorm/generic/neon/fp32.cpp new file mode 100644 index 0000000000..4bff26b036 --- /dev/null +++ b/src/cpu/kernels/meanstddevnorm/generic/neon/fp32.cpp @@ -0,0 +1,35 @@ +/* + * Copyright (c) 2022 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "src/cpu/kernels/meanstddevnorm/generic/neon/impl.h" + +namespace arm_compute +{ +namespace cpu +{ +void neon_fp32_meanstddevnorm(ITensor *input, ITensor *output, float epsilon, const Window &window) +{ + return mean_stddev_normalization<float, 4>(input, output, epsilon, window); +} +} // namespace cpu +} // namespace arm_compute diff --git a/src/cpu/kernels/meanstddevnorm/generic/neon/impl.cpp b/src/cpu/kernels/meanstddevnorm/generic/neon/impl.cpp new file mode 100644 index 0000000000..11f6294a35 --- /dev/null +++ b/src/cpu/kernels/meanstddevnorm/generic/neon/impl.cpp @@ -0,0 +1,108 @@ +/* + * Copyright (c) 2019-2023 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ + +#include "src/cpu/kernels/meanstddevnorm/generic/neon/impl.h" + +#include "src/core/NEON/wrapper/wrapper.h" + +namespace arm_compute +{ +namespace cpu +{ +template <typename ScalarType, int size> +void mean_stddev_normalization(ITensor *input, ITensor *output, float epsilon, const Window &window) +{ + using ExactTagType = typename wrapper::traits::neon_vector<ScalarType, size>::tag_type; + + // Set build options + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + const int window_step_x = size; + const auto window_start_x = static_cast<int>(window.x().start()); + const auto window_end_x = static_cast<int>(window.x().end()); + + Iterator input_itr(input, win); + Iterator output_itr(output, win); + + execute_window_loop( + win, + [&](const Coordinates &) + { + int x = window_start_x; + auto in_ptr = reinterpret_cast<const ScalarType *>(input_itr.ptr()); + auto out_ptr = reinterpret_cast<ScalarType *>(output_itr.ptr()); + + auto sum_vec = wrapper::vdup_n(static_cast<ScalarType>(0.f), ExactTagType{}); + auto sum_sq_vec = wrapper::vdup_n(static_cast<ScalarType>(0.f), ExactTagType{}); + + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + auto data = wrapper::vloadq(in_ptr + x); + sum_vec = wrapper::vadd(sum_vec, data); + sum_sq_vec = wrapper::vadd(sum_sq_vec, wrapper::vmul(data, data)); + } + + auto sum_carry_res = wrapper::vpadd(wrapper::vgethigh(sum_vec), wrapper::vgetlow(sum_vec)); + auto sum_sq_carry_res = wrapper::vpadd(wrapper::vgethigh(sum_sq_vec), wrapper::vgetlow(sum_sq_vec)); + for (int i = 0; i < size / 4; ++i) + { + sum_carry_res = wrapper::vpadd(sum_carry_res, sum_carry_res); + sum_sq_carry_res = wrapper::vpadd(sum_sq_carry_res, sum_sq_carry_res); + } + + auto sum = wrapper::vgetlane(sum_carry_res, 0); + auto sum_sq = wrapper::vgetlane(sum_sq_carry_res, 0); + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + ScalarType data = *(in_ptr + x); + sum += data; + sum_sq += data * data; + } + + ScalarType mean = sum / input->info()->dimension(0); + ScalarType var = (sum_sq / input->info()->dimension(0)) - (mean * mean); + ScalarType stddev_inv = 1.f / sqrt(var + epsilon); + + auto mean_vec = wrapper::vdup_n(mean, ExactTagType{}); + auto stddev_inv_vec = wrapper::vdup_n(stddev_inv, ExactTagType{}); + for (x = window_start_x; x <= (window_end_x - window_step_x); x += window_step_x) + { + auto data = wrapper::vloadq(in_ptr + x); + auto res = wrapper::vmul(wrapper::vsub(data, mean_vec), stddev_inv_vec); + // Store results + wrapper::vstore(out_ptr + x, res); + } + for (; x < window_end_x; ++x) + { + *(out_ptr + x) = (*(in_ptr + x) - mean) * stddev_inv; + } + }, + input_itr, output_itr); +} +template void mean_stddev_normalization<float, 4>(ITensor *input, ITensor *output, float epsilon, const Window &window); +} // namespace cpu +} // namespace arm_compute diff --git a/src/cpu/kernels/meanstddevnorm/generic/neon/impl.h b/src/cpu/kernels/meanstddevnorm/generic/neon/impl.h new file mode 100644 index 0000000000..6466506f06 --- /dev/null +++ b/src/cpu/kernels/meanstddevnorm/generic/neon/impl.h @@ -0,0 +1,38 @@ +/* + * Copyright (c) 2022 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#ifndef SRC_CORE_SVE_KERNELS_MEANSTDDEVNORM_IMPL_H +#define SRC_CORE_SVE_KERNELS_MEANSTDDEVNORM_IMPL_H +#include "arm_compute/core/Helpers.h" + +namespace arm_compute +{ +namespace cpu +{ +template <typename ScalarType, int size> +void mean_stddev_normalization(ITensor *_input, ITensor *_output, float _epsilon, const Window &window); + +} // namespace cpu +} // namespace arm_compute + +#endif //define SRC_CORE_SVE_KERNELS_MEANSTDDEVNORM_IMPL_H diff --git a/src/cpu/kernels/meanstddevnorm/generic/neon/qasymm8.cpp b/src/cpu/kernels/meanstddevnorm/generic/neon/qasymm8.cpp new file mode 100644 index 0000000000..32654df5dc --- /dev/null +++ b/src/cpu/kernels/meanstddevnorm/generic/neon/qasymm8.cpp @@ -0,0 +1,145 @@ +/* + * Copyright (c) 2022 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/Window.h" + +#include "src/core/NEON/NEAsymm.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" + +#include <arm_neon.h> +namespace +{ +inline float32x4_t clamp_v4f32(float32x4_t block, float32x4_t quant_min_vec, float32x4_t quant_max_vec) +{ + return vminq_f32(vmaxq_f32(block, quant_min_vec), quant_max_vec); +} +inline uint16x8_t fuse_words_f32(float32x4_t fb1, float32x4_t fb2) +{ + return vcombine_u16(vmovn_u32(vcvtq_u32_f32(fb1)), vmovn_u32(vcvtq_u32_f32(fb2))); +} +inline uint8x16_t fuse_shorts_u16(uint16x8_t sb1, uint16x8_t sb2) +{ + return vcombine_u8(vmovn_u16(sb1), vmovn_u16(sb2)); +} +} // namespace + +namespace arm_compute +{ +namespace cpu +{ +void neon_qasymm8_meanstddevnorm(ITensor *input, ITensor *output, float epsilon, const Window &window) +{ + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + const int window_step_x = 16; + const int window_start_x = static_cast<int>(window.x().start()); + const int window_end_x = static_cast<int>(window.x().end()); + + const UniformQuantizationInfo qi_out = output->info()->quantization_info().uniform(); + const float output_scale = qi_out.scale; + const int output_offset = qi_out.offset; + + Iterator input_itr(input, win); + Iterator output_itr(output, win); + + const float output_inv_scale = 1.0f / output_scale; + const float32x4_t quant_max_vec = vdupq_n_f32(255.0f); + const float32x4_t quant_min_vec = vdupq_n_f32(0.0f); + + execute_window_loop( + win, + [&](const Coordinates &) + { + int x = window_start_x; + auto in_ptr = reinterpret_cast<const uint8_t *>(input_itr.ptr()); + auto out_ptr = reinterpret_cast<uint8_t *>(output_itr.ptr()); + + uint32x4_t sum_vec = vdupq_n_u32(0); + uint32x4_t sum_sq_vec = vdupq_n_u32(0); + + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const uint8x16_t data = vld1q_u8(in_ptr + x); + sum_vec = vaddq_u32(sum_vec, vpaddlq_u16(vpaddlq_u8(data))); + const uint16x8_t squares_low = vmull_u8(vget_low_u8(data), vget_low_u8(data)); + const uint16x8_t squares_high = vmull_u8(vget_high_u8(data), vget_high_u8(data)); + sum_sq_vec = vaddq_u32(sum_sq_vec, vaddq_u32(vpaddlq_u16(squares_low), vpaddlq_u16(squares_high))); + } + +#ifdef __aarch64__ + sum_vec = vpaddq_u32(sum_vec, sum_vec); + sum_vec = vpaddq_u32(sum_vec, sum_vec); + uint32_t sum = vgetq_lane_u32(sum_vec, 0); + sum_sq_vec = vpaddq_u32(sum_sq_vec, sum_sq_vec); + sum_sq_vec = vpaddq_u32(sum_sq_vec, sum_sq_vec); + uint32_t sum_sq = vgetq_lane_u32(sum_sq_vec, 0); +#elif __arm__ // #ifdef __aarch64__ + uint32_t sum = vgetq_lane_u32(sum_vec, 0) + vgetq_lane_u32(sum_vec, 1) + vgetq_lane_u32(sum_vec, 2) + + vgetq_lane_u32(sum_vec, 3); + + uint32_t sum_sq = vgetq_lane_u32(sum_sq_vec, 0) + vgetq_lane_u32(sum_sq_vec, 1) + + vgetq_lane_u32(sum_sq_vec, 2) + vgetq_lane_u32(sum_sq_vec, 3); +#endif // #ifdef __aarch64__ + for (; x < window_end_x; ++x) + { + auto data = static_cast<uint32_t>(*(in_ptr + x)); + sum += data; + sum_sq += (data * data); + } + + const float mean = (static_cast<float>(sum) / static_cast<float>(input->info()->dimension(0))); + const float var = + (static_cast<float>(sum_sq) / static_cast<float>(input->info()->dimension(0))) - (mean * mean); + const float stdev_inv = 1.0f / sqrtf(var + epsilon); + const float32x4_t v_scale = vdupq_n_f32(stdev_inv * output_inv_scale); + const float32x4_t v_offset = vdupq_n_f32(-mean * stdev_inv * output_inv_scale + output_offset); + for (x = window_start_x; x <= (window_end_x - window_step_x); x += window_step_x) + { + const uint8x16_t data = vld1q_u8(in_ptr + x); + float32x4_t db1 = vcvtq_f32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_low_u8(data))))); + float32x4_t db2 = vcvtq_f32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_low_u8(data))))); + float32x4_t db3 = vcvtq_f32_u32(vmovl_u16(vget_low_u16(vmovl_u8(vget_high_u8(data))))); + float32x4_t db4 = vcvtq_f32_u32(vmovl_u16(vget_high_u16(vmovl_u8(vget_high_u8(data))))); + db1 = clamp_v4f32(vaddq_f32(vmulq_f32(db1, v_scale), v_offset), quant_min_vec, quant_max_vec); + db2 = clamp_v4f32(vaddq_f32(vmulq_f32(db2, v_scale), v_offset), quant_min_vec, quant_max_vec); + db3 = clamp_v4f32(vaddq_f32(vmulq_f32(db3, v_scale), v_offset), quant_min_vec, quant_max_vec); + db4 = clamp_v4f32(vaddq_f32(vmulq_f32(db4, v_scale), v_offset), quant_min_vec, quant_max_vec); + const uint8x16_t out = fuse_shorts_u16(fuse_words_f32(db1, db2), fuse_words_f32(db3, db4)); + vst1q_u8(out_ptr + x, out); + } + + for (; x < window_end_x; ++x) + { + auto data = static_cast<float32_t>(*(in_ptr + x)); + const uint8_t res = + data * (stdev_inv * output_inv_scale) + (-mean * stdev_inv * output_inv_scale + output_offset); + *(out_ptr + x) = res; + } + }, + input_itr, output_itr); +} +} // namespace cpu +} // namespace arm_compute |