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diff --git a/src/cpu/kernels/CpuElementwiseUnaryKernel.cpp b/src/cpu/kernels/CpuElementwiseUnaryKernel.cpp
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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.
+ */
+#include "src/cpu/kernels/CpuElementwiseUnaryKernel.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+
+#include "src/core/common/Registrars.h"
+#include "src/core/CPP/Validate.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "src/cpu/kernels/elementwise_unary/list.h"
+#include "support/ToolchainSupport.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+namespace
+{
+#ifdef __aarch64__
+
+std::unique_ptr<uint8_t[]> q8_prepare_lut(ElementWiseUnary op, const ITensorInfo *src, const ITensorInfo *dst)
+{
+ ARM_COMPUTE_ERROR_ON(src->data_type() != dst->data_type());
+ ARM_COMPUTE_ERROR_ON(!is_data_type_quantized(src->data_type()));
+ ARM_COMPUTE_ERROR_ON(src->element_size() != 1);
+
+ auto lut = std::unique_ptr<uint8_t[]>(new uint8_t[256]);
+ const auto is_signed = src->data_type() == DataType::QASYMM8_SIGNED;
+ const auto src_qi = src->quantization_info().uniform();
+ const auto dst_qi = dst->quantization_info().uniform();
+
+ const auto dst_min_fp = (((is_signed) ? -128 : 0) - dst_qi.offset) * dst_qi.scale;
+ const auto dst_max_fp = (((is_signed) ? 127 : 255) - dst_qi.offset) * dst_qi.scale;
+
+ for (int i = 0; i < 256; ++i)
+ {
+ const auto in =
+ (is_signed) ? dequantize_qasymm8_signed(static_cast<int8_t>(i), src_qi) : dequantize_qasymm8(i, src_qi);
+ float result = 0;
+
+ switch (op)
+ {
+ case ElementWiseUnary::RSQRT:
+ result = 1 / sqrt(in);
+ break;
+
+ case ElementWiseUnary::EXP:
+ result = std::exp(in);
+ break;
+
+ case ElementWiseUnary::NEG:
+ result = -in;
+ break;
+
+ case ElementWiseUnary::LOG:
+ result = std::log(in);
+ break;
+
+ case ElementWiseUnary::ABS:
+ result = std::abs(in);
+ break;
+
+ case ElementWiseUnary::ROUND:
+ result = support::cpp11::nearbyint(in);
+ break;
+
+ case ElementWiseUnary::SIN:
+ result = std::sin(in);
+ break;
+
+ default:
+ ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
+ }
+
+ result = utility::clamp(result, dst_min_fp, dst_max_fp);
+
+ const auto out = (is_signed) ? static_cast<uint8_t>(quantize_qasymm8_signed(result, dst_qi))
+ : quantize_qasymm8(result, dst_qi);
+ lut[i] = out;
+ }
+
+ return lut;
+}
+
+#endif // __aarch64__
+
+static const std::vector<CpuElementwiseUnaryKernel::ElementwiseUnaryKernel> available_kernels = {
+ {
+ "sve_fp32_elementwise_unary",
+ [](const DataTypeISASelectorData &data) { return (data.dt == DataType::F32 && data.isa.sve); },
+ REGISTER_FP32_SVE(sve_fp32_elementwise_unary),
+ nullptr,
+ },
+ {
+ "sve_fp16_elementwise_unary",
+ [](const DataTypeISASelectorData &data) { return (data.dt == DataType::F16 && data.isa.sve && data.isa.fp16); },
+ REGISTER_FP16_SVE(sve_fp16_elementwise_unary),
+ nullptr,
+ },
+ {
+ "sve_s32_elementwise_unary",
+ [](const DataTypeISASelectorData &data) { return (data.dt == DataType::S32 && data.isa.sve); },
+ REGISTER_INTEGER_SVE(sve_s32_elementwise_unary),
+ nullptr,
+ },
+ {
+ "neon_fp32_elementwise_unary",
+ [](const DataTypeISASelectorData &data) { return data.dt == DataType::F32; },
+ REGISTER_FP32_NEON(neon_fp32_elementwise_unary),
+ nullptr,
+ },
+ {
+ "neon_fp16_elementwise_unary",
+ [](const DataTypeISASelectorData &data) { return data.dt == DataType::F16 && data.isa.fp16; },
+ REGISTER_FP16_NEON(neon_fp16_elementwise_unary),
+ nullptr,
+ },
+ {
+ "neon_s32_elementwise_unary",
+ [](const DataTypeISASelectorData &data) { return data.dt == DataType::S32; },
+ REGISTER_INTEGER_NEON(neon_s32_elementwise_unary),
+ nullptr,
+ },
+#ifdef __aarch64__
+ {
+ "sve2_q8_elementwise_unary",
+ [](const DataTypeISASelectorData &data)
+ { return (data.dt == DataType::QASYMM8 || data.dt == DataType::QASYMM8_SIGNED) && data.isa.sve2; },
+ REGISTER_QASYMM8_SVE2(sve2_q8_elementwise_unary),
+ &q8_prepare_lut,
+ },
+ {
+ "neon_q8_elementwise_unary",
+ [](const DataTypeISASelectorData &data)
+ { return data.dt == DataType::QASYMM8 || data.dt == DataType::QASYMM8_SIGNED; },
+ REGISTER_QASYMM8_NEON(neon_q8_elementwise_unary),
+ &q8_prepare_lut,
+ },
+#else // __aarch64__
+ {
+ "neon_qasymm8_signed_elementwise_unary",
+ [](const DataTypeISASelectorData &data) { return data.dt == DataType::QASYMM8_SIGNED; },
+ REGISTER_QASYMM8_SIGNED_NEON(neon_qasymm8_signed_elementwise_unary),
+ nullptr,
+ },
+ {
+ "neon_qasymm8_elementwise_unary",
+ [](const DataTypeISASelectorData &data) { return data.dt == DataType::QASYMM8; },
+ REGISTER_QASYMM8_NEON(neon_qasymm8_elementwise_unary),
+ nullptr,
+ },
+#endif // __aarch64__
+};
+
+} // namespace
+
+void CpuElementwiseUnaryKernel::configure(ElementWiseUnary op, const ITensorInfo &src, ITensorInfo &dst)
+{
+ ARM_COMPUTE_ERROR_THROW_ON(validate(op, src, dst));
+ const auto uk = CpuElementwiseUnaryKernel::get_implementation(
+ DataTypeISASelectorData{src.data_type(), CPUInfo::get().get_isa()});
+ ARM_COMPUTE_ERROR_ON(uk == nullptr || uk->ukernel == nullptr);
+
+ _op = op;
+ _run_method = uk->ukernel;
+ _name = std::string("CpuElementwiseUnaryKernel").append("/").append(uk->name);
+
+ // If input shape is dynamic, expect a configured window and dst at run-time.
+ if (src.is_dynamic())
+ {
+ return;
+ }
+
+ if (uk->prepare_func != nullptr)
+ {
+ _lut = uk->prepare_func(op, &src, &dst);
+ }
+
+ auto shape_and_window = compute_output_shape_and_window(src.tensor_shape());
+ auto_init_if_empty(dst, shape_and_window.first, 1, src.data_type());
+ ICpuKernel::configure(shape_and_window.second);
+}
+
+Status CpuElementwiseUnaryKernel::validate(ElementWiseUnary op, const ITensorInfo &src, const ITensorInfo &dst)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(&src);
+
+ const auto *uk = CpuElementwiseUnaryKernel::get_implementation(
+ DataTypeISASelectorData{src.data_type(), CPUInfo::get().get_isa()});
+
+ ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr);
+
+ switch (op)
+ {
+ case ElementWiseUnary::EXP:
+ case ElementWiseUnary::RSQRT:
+ case ElementWiseUnary::LOG:
+ case ElementWiseUnary::ROUND:
+ case ElementWiseUnary::SIN:
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::F16, DataType::F32,
+ DataType::QASYMM8, DataType::QASYMM8_SIGNED);
+ break;
+ case ElementWiseUnary::NEG:
+ case ElementWiseUnary::ABS:
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::F16, DataType::F32, DataType::S32,
+ DataType::QASYMM8, DataType::QASYMM8_SIGNED);
+ break;
+ default:
+ ARM_COMPUTE_ERROR("ElementWiseUnary operation not supported");
+ }
+ // Validate in case of configured dst
+ if (dst.total_size() > 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src, &dst);
+ }
+
+ return Status{};
+}
+
+void CpuElementwiseUnaryKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
+{
+ ARM_COMPUTE_UNUSED(info);
+
+ auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
+ auto dst = tensors.get_tensor(TensorType::ACL_DST);
+
+ _run_method(src, dst, window, _op, _lut.get());
+}
+
+const char *CpuElementwiseUnaryKernel::name() const
+{
+ return _name.c_str();
+}
+
+const std::vector<CpuElementwiseUnaryKernel::ElementwiseUnaryKernel> &CpuElementwiseUnaryKernel::get_available_kernels()
+{
+ return available_kernels;
+}
+
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute