diff options
Diffstat (limited to 'src/cpu/kernels/activation/generic/neon/qsymm16.cpp')
| -rw-r--r-- | src/cpu/kernels/activation/generic/neon/qsymm16.cpp | 156 |
1 files changed, 156 insertions, 0 deletions
diff --git a/src/cpu/kernels/activation/generic/neon/qsymm16.cpp b/src/cpu/kernels/activation/generic/neon/qsymm16.cpp new file mode 100644 index 0000000000..891646ea00 --- /dev/null +++ b/src/cpu/kernels/activation/generic/neon/qsymm16.cpp @@ -0,0 +1,156 @@ +/* + * Copyright (c) 2020-2023 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 "arm_compute/core/experimental/Types.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "arm_compute/function_info/ActivationLayerInfo.h" + +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/NESymm.h" +#include "src/core/NEON/wrapper/wrapper.h" + +#include <arm_neon.h> +#include <cmath> +#include <cstddef> + +namespace arm_compute +{ +namespace cpu +{ +void neon_qsymm16_activation(const ITensor *src, + ITensor *dst, + const ActivationLayerInfo &act_info, + const Window &window) +{ + constexpr 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()); + const ActivationLayerInfo::ActivationFunction act = act_info.activation(); + + Window win_collapsed = window.collapse_if_possible(window, Window::DimZ); + win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator input(src, win_collapsed); + Iterator output(dst, win_collapsed); + + const UniformQuantizationInfo qi_in = src->info()->quantization_info().uniform(); + const UniformQuantizationInfo qi_out = dst->info()->quantization_info().uniform(); + const auto vconst_1 = vdupq_n_f32(1.f); + const float32x4_t va_f32 = vdupq_n_f32(act_info.a()); + const float32x4_t vb_f32 = vdupq_n_f32(act_info.b()); + const float a_f32 = act_info.a(); + const float b_f32 = act_info.b(); + + execute_window_loop( + win_collapsed, + [&](const Coordinates &) + { + const auto input_ptr = reinterpret_cast<const qsymm16_t *>(input.ptr()); + const auto output_ptr = reinterpret_cast<qsymm16_t *>(output.ptr()); + + wrapper::traits::neon_bitvector_t<qsymm16_t, wrapper::traits::BitWidth::W128> tmp; + ARM_COMPUTE_UNUSED(tmp); + + // Compute S elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const auto vin = wrapper::vloadq(input_ptr + x); + if (act == ActivationLayerInfo::ActivationFunction::LOGISTIC) + { + // De-quantize + const auto vin_deq = vdequantize_int16(vin, qi_in.scale); + // Perform activation + const float32x4x2_t tmp_dep = {{ + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[0])))), + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[1])))), + }}; + // Re-quantize to new output space + tmp = vquantize_int16(tmp_dep, qi_out.scale); + } + else if (act == ActivationLayerInfo::ActivationFunction::TANH) + { + // De-quantize + const auto vin_deq = vdequantize_int16(vin, qi_in.scale); + // Perform activation + const float32x4x2_t tmp_dep = {{ + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[0], vb_f32))), + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[1], vb_f32))), + }}; + // Re-quantize to new output space + tmp = vquantize_int16(tmp_dep, qi_out.scale); + } + + else if (act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) + { + // De-quantize + const auto vin_deq = vdequantize_int16(vin, qi_in.scale); + // Perform activation + const float32x4x2_t tmp_dep = {{wrapper::vmin(va_f32, wrapper::vmax(vb_f32, vin_deq.val[0])), + wrapper::vmin(va_f32, wrapper::vmax(vb_f32, vin_deq.val[1]))}}; + // Re-quantize to new output space + tmp = vquantize_int16(tmp_dep, qi_out.scale); + } + else + { + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + wrapper::vstore(output_ptr + x, tmp); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + qsymm16_t in = *(reinterpret_cast<const qsymm16_t *>(input_ptr + x)); + qsymm16_t tmp = 0; + if (act == ActivationLayerInfo::ActivationFunction::LOGISTIC) + { + float tmp_f = dequantize_qsymm16(in, qi_in.scale); + tmp_f = 1.f / (1.f + std::exp(-tmp_f)); + tmp = quantize_qsymm16(tmp_f, qi_out); + } + else if (act == ActivationLayerInfo::ActivationFunction::TANH) + { + float tmp_f = dequantize_qsymm16(in, qi_in.scale); + tmp_f = a_f32 * std::tanh(b_f32 * tmp_f); + tmp = quantize_qsymm16(tmp_f, qi_out); + } + else if (act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) + { + float tmp_f = dequantize_qsymm16(in, qi_in.scale); + tmp_f = std::min<float>(a_f32, std::max<float>(b_f32, tmp_f)); + tmp = quantize_qsymm16(tmp_f, qi_out); + } + else + { + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + *(output_ptr + x) = tmp; + } + }, + input, output); +} +} // namespace cpu +} // namespace arm_compute |