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-rw-r--r--src/cpu/kernels/activation/generic/sve/fp16.cpp173
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diff --git a/src/cpu/kernels/activation/generic/sve/fp16.cpp b/src/cpu/kernels/activation/generic/sve/fp16.cpp
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+++ b/src/cpu/kernels/activation/generic/sve/fp16.cpp
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+/*
+ * Copyright (c) 2020-2024 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 "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/SVEMath.h"
+#include "src/cpu/kernels/lut/list.h"
+
+#include <arm_sve.h>
+#include <cmath>
+#include <cstddef>
+
+namespace arm_compute
+{
+namespace cpu
+{
+void sve_fp16_activation(const ITensor *src, ITensor *dst, const ActivationLayerInfo &act_info, const Window &window)
+{
+ 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 auto const_1 = svdup_n_f16(1.f);
+ const auto const_0 = svdup_n_f16(0.f);
+ const auto const_6 = svdup_n_f16(6.f);
+ const auto const_3 = svdup_n_f16(3.f);
+ const auto const_inv_6 = svdup_n_f16(0.166666667f);
+
+ const auto va = svdup_n_f16(act_info.a());
+ const auto vb = svdup_n_f16(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());
+
+ svfloat16_t tmp;
+
+ int x = window_start_x;
+ svbool_t pg = svwhilelt_b16(x, window_end_x);
+ do
+ {
+ const auto vin = svld1_f16(pg, input_ptr + x);
+ switch (act)
+ {
+ case ActivationLayerInfo::ActivationFunction::ABS:
+ tmp = svabs_f16_z(pg, vin);
+ break;
+ case ActivationLayerInfo::ActivationFunction::LINEAR:
+ tmp = svmla_f16_z(pg, vb, va, vin);
+ break;
+ case ActivationLayerInfo::ActivationFunction::LOGISTIC:
+ tmp = svinv_f16_z(pg, svadd_f16_z(pg, const_1, svexp_f16_z(pg, svneg_f16_z(pg, vin))));
+ break;
+ case ActivationLayerInfo::ActivationFunction::RELU:
+ tmp = svmax_f16_z(pg, const_0, vin);
+ break;
+ case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU:
+ tmp = svmin_f16_z(pg, va, svmax_f16_z(pg, const_0, vin));
+ break;
+ case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU:
+ tmp = svmin_f16_z(pg, va, svmax_f16_z(pg, vb, vin));
+ break;
+ case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
+ tmp = svadd_f16_z(pg, svmul_f16_z(pg, svmin_f16_z(pg, vin, const_0), va),
+ svmax_f16_z(pg, vin, const_0));
+ break;
+ case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
+ tmp = svlog_f16_z(pg, svadd_f16_z(pg, const_1, svexp_f16_z(pg, vin)));
+ break;
+ case ActivationLayerInfo::ActivationFunction::ELU:
+ tmp = svsel_f16(svcmpgt_f16(pg, vin, const_0), vin,
+ svmul_f16_z(pg, va, svsub_f16_z(pg, svexp_f16_z(pg, vin), const_1)));
+ break;
+ case ActivationLayerInfo::ActivationFunction::SQRT:
+ tmp = svsqrt_f16_z(pg, vin);
+ break;
+ case ActivationLayerInfo::ActivationFunction::SQUARE:
+ tmp = svmul_f16_z(pg, vin, vin);
+ break;
+ case ActivationLayerInfo::ActivationFunction::TANH:
+ tmp = svmul_f16_z(pg, va, svtanh_f16_z(pg, svmul_f16_z(pg, vb, vin)));
+ break;
+ case ActivationLayerInfo::ActivationFunction::IDENTITY:
+ tmp = vin;
+ break;
+ case ActivationLayerInfo::ActivationFunction::HARD_SWISH:
+ tmp = svmul_f16_z(
+ pg, vin,
+ svmul_f16_z(
+ pg, const_inv_6,
+ svmin_f16_z(pg, const_6, svmax_f16_z(pg, const_0, svadd_f16_z(pg, vin, const_3)))));
+ break;
+ case ActivationLayerInfo::ActivationFunction::SWISH:
+ tmp = svmul_f16_z(
+ pg, vin,
+ svinv_f16_z(pg, svadd_f16_z(pg, const_1,
+ svexp_f16_z(pg, svneg_f16_z(pg, svmul_f16_z(pg, va, vin))))));
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Unsupported activation function");
+ }
+ svst1_f16(pg, output_ptr + x, tmp);
+
+ x += svcnth();
+ pg = svwhilelt_b16(x, window_end_x);
+
+ } while (svptest_any(svptrue_b16(), pg));
+ },
+ input, output);
+}
+
+void sve_fp16_activation_lut(const ITensor *src,
+ ITensor *dst,
+ const ActivationLayerInfo &act_info,
+ const Window &window)
+{
+ ARM_COMPUTE_ERROR_ON(src->info()->data_type() != DataType::F16);
+ const auto window_start_x = window.x().start();
+ const auto window_end_x = window.x().end();
+ const auto size = window_end_x - window_start_x;
+ 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);
+ execute_window_loop(
+ win_collapsed,
+ [&](const Coordinates &)
+ {
+ const auto input_ptr = reinterpret_cast<const uint16_t *>(input.ptr());
+ auto output_ptr = reinterpret_cast<uint16_t *>(output.ptr());
+ lut_u16_sve(reinterpret_cast<const uint16_t *>(act_info.lut_fp16().data()), 1U /* num_strings (UNUSED) */,
+ size, input_ptr + window_start_x, output_ptr + window_start_x);
+ },
+ input, output);
+}
+} // namespace cpu
+} // namespace arm_compute
+#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */