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-rw-r--r--src/core/cpu/kernels/activation/neon/fp16.cpp217
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diff --git a/src/core/cpu/kernels/activation/neon/fp16.cpp b/src/core/cpu/kernels/activation/neon/fp16.cpp
deleted file mode 100644
index 6f2d5d8533..0000000000
--- a/src/core/cpu/kernels/activation/neon/fp16.cpp
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@@ -1,217 +0,0 @@
-/*
- * Copyright (c) 2020-2021 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/core/NEON/NEMath.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Validate.h"
-#include "src/core/NEON/wrapper/wrapper.h"
-
-#include <arm_neon.h>
-#include <cmath>
-#include <cstddef>
-
-#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS)
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace
-{
-#ifndef __aarch64__
-inline float16x8_t mask_float_vector(const float16x8_t &in, const uint16x8_t &mask)
-{
- auto int_in = vreinterpretq_u16_f16(in);
- return vreinterpretq_f16_u16(wrapper::vand(int_in, mask));
-}
-#endif /* __aarch64__ */
-} // namespace
-
-void fp16_neon_activation(const ITensor *src, ITensor *dst, const ActivationLayerInfo &act_info, const Window &window)
-{
- /** SIMD vector tag type. */
- using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t<float16_t, wrapper::traits::BitWidth::W128>;
- const ActivationLayerInfo::ActivationFunction act = act_info.activation();
-
- 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());
-
- 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);
-
- // In case of non-aarch64, a small delta value is added to the input
- // to prevent NAN values caused by zeros in inputs to SQRT.
- // In case of aarh64, we call vsqrt directly, so we don't use delta.
-#ifndef __aarch64__
- const auto delta = wrapper::vdup_n(static_cast<float16_t>((1e-7), ExactTagType {}));
-#endif /* __aarch64__ */
-
- const auto const_1 = wrapper::vdup_n(static_cast<float16_t>(1.f), ExactTagType{});
- const auto const_0 = wrapper::vdup_n(static_cast<float16_t>(0.f), ExactTagType{});
- const auto const_6 = wrapper::vdup_n(static_cast<float16_t>(6.f), ExactTagType{});
- const auto const_3 = wrapper::vdup_n(static_cast<float16_t>(3.f), ExactTagType{});
- const auto const_inv_6 = wrapper::vdup_n(static_cast<float16_t>(0.166666667f), ExactTagType{});
-
- constexpr float soft_relu_thresh = 12.f;
- const auto vsoft_relu_thresh = wrapper::vdup_n(static_cast<float16_t>(soft_relu_thresh), ExactTagType{});
-
- const auto va = wrapper::vdup_n(static_cast<float16_t>(act_info.a()), ExactTagType{});
- const auto vb = wrapper::vdup_n(static_cast<float16_t>(act_info.b()), ExactTagType{});
- const auto a = static_cast<float16_t>(act_info.a());
- const auto b = static_cast<float16_t>(act_info.b());
- execute_window_loop(win_collapsed, [&](const Coordinates &)
- {
- const auto input_ptr = reinterpret_cast<const float16_t *>(input.ptr());
- const auto output_ptr = reinterpret_cast<float16_t *>(output.ptr());
-
- wrapper::traits::neon_bitvector_t<float16_t, wrapper::traits::BitWidth::W128> 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);
- switch(act)
- {
- case ActivationLayerInfo::ActivationFunction::ABS:
- tmp = wrapper::vabs(vin);
- break;
- case ActivationLayerInfo::ActivationFunction::LINEAR:
- tmp = wrapper::vmla(vb, va, vin);
- break;
- case ActivationLayerInfo::ActivationFunction::LOGISTIC:
- tmp = wrapper::vinv(wrapper::vadd(const_1, wrapper::vexpq(wrapper::vneg(vin))));
- break;
- case ActivationLayerInfo::ActivationFunction::RELU:
- tmp = wrapper::vmax(const_0, vin);
- break;
- case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU:
- tmp = wrapper::vmin(va, wrapper::vmax(const_0, vin));
- break;
- case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU:
- tmp = wrapper::vmin(va, wrapper::vmax(vb, vin));
- break;
- case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
- tmp = wrapper::vbsl(wrapper::vcgt(vin, const_0), vin, wrapper::vmul(va, vin));
- break;
- case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
- tmp = wrapper::vbsl(wrapper::vcgt(vin, vsoft_relu_thresh), vin, wrapper::vlog(wrapper::vadd(const_1, wrapper::vexpq(vin))));
- break;
- case ActivationLayerInfo::ActivationFunction::ELU:
- tmp = wrapper::vbsl(wrapper::vcge(vin, const_0), vin, wrapper::vmul(va, wrapper::vsub(wrapper::vexpq(vin), const_1)));
- break;
- case ActivationLayerInfo::ActivationFunction::SQRT:
-#ifdef __aarch64__
- tmp = wrapper::vsqrt(vin);
-#else /* __aarch64__ */
- {
- const auto bitmask = wrapper::vceq(vin, wrapper::vdup_n(0, ExactTagType{}));
- tmp = wrapper::vinv(wrapper::vinvsqrt(wrapper::vadd(vin, mask_float_vector(delta, bitmask))));
- tmp = mask_float_vector(tmp, wrapper::vnot(bitmask));
- }
-#endif /* __aarch64__ */
- break;
- case ActivationLayerInfo::ActivationFunction::SQUARE:
- tmp = wrapper::vmul(vin, vin);
- break;
- case ActivationLayerInfo::ActivationFunction::TANH:
- tmp = wrapper::vmul(va, wrapper::vtanh(wrapper::vmul(vb, vin)));
- break;
- case ActivationLayerInfo::ActivationFunction::IDENTITY:
- tmp = vin;
- break;
- case ActivationLayerInfo::ActivationFunction::HARD_SWISH:
- tmp = wrapper::vmul(vin, wrapper::vmul(const_inv_6, wrapper::vmin(const_6, wrapper::vmax(const_0, wrapper::vadd(vin, const_3)))));
- break;
- default:
- ARM_COMPUTE_ERROR("Unsupported activation function");
- }
- wrapper::vstore(output_ptr + x, tmp);
- }
-
- // Compute left-over elements
- for(; x < window_end_x; ++x)
- {
- const float16_t in = *(reinterpret_cast<const float16_t *>(input_ptr + x));
- float16_t tmp;
- switch(act)
- {
- case ActivationLayerInfo::ActivationFunction::ABS:
- tmp = std::abs(in);
- break;
- case ActivationLayerInfo::ActivationFunction::LINEAR:
- tmp = a * in + b;
- break;
- case ActivationLayerInfo::ActivationFunction::LOGISTIC:
- tmp = static_cast<float16_t>(1) / (static_cast<float16_t>(1) + std::exp(-in));
- break;
- case ActivationLayerInfo::ActivationFunction::RELU:
- tmp = std::max<float16_t>(static_cast<float16_t>(0), in);
- break;
- case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU:
- tmp = std::min<float16_t>(a, std::max(static_cast<float16_t>(0), in));
- break;
- case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU:
- tmp = std::min<float16_t>(a, std::max<float16_t>(b, in));
- break;
- case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
- tmp = (in > 0) ? in : a * in;
- break;
- case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
- tmp = (in > soft_relu_thresh) ? in : std::log(static_cast<float16_t>(1) + std::exp(in));
- break;
- case ActivationLayerInfo::ActivationFunction::ELU:
- tmp = (in >= 0) ? in : a * (std::exp(in) - 1);
- break;
- case ActivationLayerInfo::ActivationFunction::SQRT:
- tmp = std::sqrt(in);
- break;
- case ActivationLayerInfo::ActivationFunction::SQUARE:
- tmp = in * in;
- break;
- case ActivationLayerInfo::ActivationFunction::TANH:
- tmp = a * std::tanh(b * in);
- break;
- case ActivationLayerInfo::ActivationFunction::IDENTITY:
- tmp = in;
- break;
- case ActivationLayerInfo::ActivationFunction::HARD_SWISH:
- tmp = in * ((std::min(std::max((in + 3), 0.0f), 6.0f)) * 0.166666667f);
- break;
- default:
- ARM_COMPUTE_ERROR("Unsupported activation function");
- }
- *(output_ptr + x) = tmp;
- }
- },
- input, output);
-}
-} // namespace cpu
-} // namespace arm_compute
-
-#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-03 17:04:04 +0000