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+/*
+ * Copyright (c) 2018-2023 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.
+ */
+#ifndef SRC_CORE_NEON_KERNELS_ELEMENTWISE_UNARY_LIST_H
+#define SRC_CORE_NEON_KERNELS_ELEMENTWISE_UNARY_LIST_H
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Types.h"
+
+#include "src/core/NEON/NEAsymm.h"
+#include "src/core/NEON/wrapper/intrinsics/intrinsics.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+template <typename ScalarType>
+inline ScalarType elementwise_op_scalar_imp(ElementWiseUnary op, const ScalarType &a)
+{
+ switch (op)
+ {
+ case ElementWiseUnary::RSQRT:
+ return 1 / sqrt(a);
+ case ElementWiseUnary::EXP:
+ return std::exp(a);
+ case ElementWiseUnary::NEG:
+ return -a;
+ case ElementWiseUnary::LOG:
+ return std::log(a);
+ case ElementWiseUnary::ABS:
+ return std::abs(a);
+ case ElementWiseUnary::ROUND:
+ return support::cpp11::nearbyint(a);
+ case ElementWiseUnary::SIN:
+ return std::sin(a);
+ default:
+ ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
+ }
+}
+
+template <typename ScalarType, typename VectorType>
+inline VectorType elementwise_op_imp(ElementWiseUnary op, const VectorType &a)
+{
+ switch (op)
+ {
+ case ElementWiseUnary::RSQRT:
+ return wrapper::vinvsqrt(a);
+ case ElementWiseUnary::EXP:
+ return wrapper::vexpq(a);
+ case ElementWiseUnary::NEG:
+ return wrapper::vneg(a);
+ case ElementWiseUnary::LOG:
+ return wrapper::vlog(a);
+ case ElementWiseUnary::ABS:
+ return wrapper::vabs(a);
+ case ElementWiseUnary::ROUND:
+ return wrapper::vround(a);
+ case ElementWiseUnary::SIN:
+ return wrapper::vsin(a);
+ default:
+ ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
+ }
+}
+
+template <typename ScalarType>
+inline void elementwise_op(const ITensor *in, ITensor *out, const Window &window, ElementWiseUnary op)
+{
+ const int window_step_x = 16 / sizeof(ScalarType);
+ const auto window_start_x = static_cast<int>(window.x().start());
+ const auto window_end_x = static_cast<int>(window.x().end());
+
+ Window win = window;
+ win.set(Window::DimX, Window::Dimension(0, 1, 1));
+
+ Iterator input(in, win);
+ Iterator output(out, win);
+
+ execute_window_loop(
+ win,
+ [&](const Coordinates &)
+ {
+ auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr());
+ const auto input_ptr = reinterpret_cast<const ScalarType *>(input.ptr());
+
+ int x = window_start_x;
+ for (; x <= window_end_x - window_step_x; x += window_step_x)
+ {
+ wrapper::vstore(output_ptr + x, elementwise_op_imp<ScalarType>(op, wrapper::vloadq(input_ptr + x)));
+ }
+ for (; x < window_end_x; ++x)
+ {
+ *(output_ptr + x) = elementwise_op_scalar_imp(op, *(input_ptr + x));
+ }
+ },
+ input, output);
+}
+
+template <>
+inline void elementwise_op<int8_t>(const ITensor *in, ITensor *out, const Window &window, ElementWiseUnary op)
+{
+ const int window_step_x = 16;
+ const auto window_start_x = static_cast<int>(window.x().start());
+ const auto window_end_x = static_cast<int>(window.x().end());
+ const UniformQuantizationInfo qi_in = in->info()->quantization_info().uniform();
+ const UniformQuantizationInfo qi_out = out->info()->quantization_info().uniform();
+ const auto min_clamped_value = vdupq_n_f32((-128 - qi_out.offset) * qi_out.scale);
+ const auto max_clamped_value = vdupq_n_f32((127 - qi_out.offset) * qi_out.scale);
+ Window win = window;
+ win.set(Window::DimX, Window::Dimension(0, 1, 1));
+
+ Iterator input(in, win);
+ Iterator output(out, win);
+
+ execute_window_loop(
+ win,
+ [&](const Coordinates &)
+ {
+ int8x16_t vout;
+ auto output_ptr = reinterpret_cast<int8_t *>(output.ptr());
+ const auto input_ptr = reinterpret_cast<const int8_t *>(input.ptr());
+ const auto vconst_0_f32 = vdupq_n_f32(0);
+ auto clamped_value = (op == ElementWiseUnary::LOG) ? min_clamped_value : max_clamped_value;
+
+ 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);
+
+ // De-quantize
+ const auto vin_deq = vdequantize(vin, qi_in);
+
+ // Perform activation
+ float32x4x4_t vtmp_deq = {{
+ elementwise_op_imp<float>(op, vin_deq.val[0]),
+ elementwise_op_imp<float>(op, vin_deq.val[1]),
+ elementwise_op_imp<float>(op, vin_deq.val[2]),
+ elementwise_op_imp<float>(op, vin_deq.val[3]),
+ }};
+
+ if ((op == ElementWiseUnary::LOG) || (op == ElementWiseUnary::RSQRT))
+ {
+ vtmp_deq.val[0] =
+ vbslq_f32(vcleq_f32(vin_deq.val[0], vconst_0_f32), clamped_value, vtmp_deq.val[0]);
+ vtmp_deq.val[1] =
+ vbslq_f32(vcleq_f32(vin_deq.val[1], vconst_0_f32), clamped_value, vtmp_deq.val[1]);
+ vtmp_deq.val[2] =
+ vbslq_f32(vcleq_f32(vin_deq.val[2], vconst_0_f32), clamped_value, vtmp_deq.val[2]);
+ vtmp_deq.val[3] =
+ vbslq_f32(vcleq_f32(vin_deq.val[3], vconst_0_f32), clamped_value, vtmp_deq.val[3]);
+ }
+
+ // Re-quantize to new output space
+ vout = vquantize_signed(vtmp_deq, qi_out);
+ wrapper::vstore(output_ptr + x, vout);
+ }
+ for (; x < window_end_x; ++x)
+ {
+ qasymm8_signed_t in = *(reinterpret_cast<const qasymm8_signed_t *>(input_ptr + x));
+ qasymm8_signed_t tmp = 0;
+ float tmp_f = dequantize_qasymm8_signed(in, qi_in);
+ if (tmp_f <= 0.0)
+ {
+ if (op == ElementWiseUnary::LOG)
+ {
+ tmp_f = (-128 - qi_out.offset) * qi_out.scale;
+ }
+ else if (op == ElementWiseUnary::RSQRT)
+ {
+ tmp_f = (127 - qi_out.offset) * qi_out.scale;
+ }
+ else
+ {
+ tmp_f = elementwise_op_scalar_imp<float>(op, tmp_f);
+ }
+ }
+ else
+ {
+ tmp_f = elementwise_op_scalar_imp<float>(op, tmp_f);
+ }
+ tmp = quantize_qasymm8_signed(
+ tmp_f, qi_out,
+ RoundingPolicy::
+ TO_ZERO); // Set rounding policy TO_ZERO to be compatible with vquantize_signed() used above that follow same policy for armv7a.
+ // For aarch64 LUT is used and rounding to nearest is used
+ *(output_ptr + x) = tmp;
+ }
+ },
+ input, output);
+}
+template <>
+inline void elementwise_op<uint8_t>(const ITensor *in, ITensor *out, const Window &window, ElementWiseUnary op)
+{
+ const int window_step_x = 16;
+ const auto window_start_x = static_cast<int>(window.x().start());
+ const auto window_end_x = static_cast<int>(window.x().end());
+ const UniformQuantizationInfo qi_in = in->info()->quantization_info().uniform();
+ const UniformQuantizationInfo qi_out = out->info()->quantization_info().uniform();
+ const auto vconst_0_f32 = vdupq_n_f32(0);
+ const auto min_clamped_value = vdupq_n_f32((0 - qi_out.offset) * qi_out.scale);
+ const auto max_clamped_value = vdupq_n_f32((255 - qi_out.offset) * qi_out.scale);
+ Window win = window;
+ win.set(Window::DimX, Window::Dimension(0, 1, 1));
+
+ Iterator input(in, win);
+ Iterator output(out, win);
+
+ execute_window_loop(
+ win,
+ [&](const Coordinates &)
+ {
+ uint8x16_t vout;
+ auto clamped_value = (op == ElementWiseUnary::LOG) ? min_clamped_value : max_clamped_value;
+ auto output_ptr = reinterpret_cast<uint8_t *>(output.ptr());
+ const auto input_ptr = reinterpret_cast<const uint8_t *>(input.ptr());
+ 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);
+
+ // De-quantize
+ const auto vin_deq = vdequantize(vin, qi_in);
+
+ // Perform activation
+ float32x4x4_t vtmp_deq = {{
+ elementwise_op_imp<float>(op, vin_deq.val[0]),
+ elementwise_op_imp<float>(op, vin_deq.val[1]),
+ elementwise_op_imp<float>(op, vin_deq.val[2]),
+ elementwise_op_imp<float>(op, vin_deq.val[3]),
+ }};
+ if ((op == ElementWiseUnary::LOG) || (op == ElementWiseUnary::RSQRT))
+ {
+ vtmp_deq.val[0] =
+ vbslq_f32(vcleq_f32(vin_deq.val[0], vconst_0_f32), clamped_value, vtmp_deq.val[0]);
+ vtmp_deq.val[1] =
+ vbslq_f32(vcleq_f32(vin_deq.val[1], vconst_0_f32), clamped_value, vtmp_deq.val[1]);
+ vtmp_deq.val[2] =
+ vbslq_f32(vcleq_f32(vin_deq.val[2], vconst_0_f32), clamped_value, vtmp_deq.val[2]);
+ vtmp_deq.val[3] =
+ vbslq_f32(vcleq_f32(vin_deq.val[3], vconst_0_f32), clamped_value, vtmp_deq.val[3]);
+ }
+
+ // Re-quantize to new output space
+ vout = vquantize(vtmp_deq, qi_out);
+ wrapper::vstore(output_ptr + x, vout);
+ }
+ for (; x < window_end_x; ++x)
+ {
+ qasymm8_t in = *(reinterpret_cast<const qasymm8_t *>(input_ptr + x));
+ qasymm8_t tmp = 0;
+ float tmp_f = dequantize_qasymm8(in, qi_in);
+ if (tmp_f <= 0.0)
+ {
+ if (op == ElementWiseUnary::LOG)
+ {
+ tmp_f = (0 - qi_out.offset) * qi_out.scale;
+ }
+ else if (op == ElementWiseUnary::RSQRT)
+ {
+ tmp_f = (255 - qi_out.offset) * qi_out.scale;
+ }
+ else
+ {
+ tmp_f = elementwise_op_scalar_imp<float>(op, tmp_f);
+ }
+ }
+ else
+ {
+ tmp_f = elementwise_op_scalar_imp<float>(op, tmp_f);
+ }
+ tmp = quantize_qasymm8(tmp_f, qi_out, RoundingPolicy::TO_ZERO);
+ *(output_ptr + x) = tmp;
+ }
+ },
+ input, output);
+}
+
+} // namespace cpu
+} // namespace arm_compute
+
+#endif // SRC_CORE_NEON_KERNELS_ELEMENTWISE_UNARY_LIST_H
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