Make Add kernel and operator stateless

- Rename NEArithmeticAdditionKernel to CpuAddKernel Cpu and move files appropriately

- Add CpuAdd under src/runtime/cpu/operators

Partially resolves: COMPMID-4005

Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: I1d8d406df9773fea198899f50327407d7125c38d
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4867
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/src/core/cpu/kernels/add/sve/list.h b/src/core/cpu/kernels/add/sve/list.h
new file mode 100644
index 0000000..71dd875
--- /dev/null
+++ b/src/core/cpu/kernels/add/sve/list.h
@@ -0,0 +1,145 @@
+/*
+ * 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.
+ */
+#ifndef SRC_CORE_SVE_KERNELS_ADD_LIST_H
+#define SRC_CORE_SVE_KERNELS_ADD_LIST_H
+
+#if defined(__ARM_FEATURE_SVE)
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/Traits.h"
+#include "src/core/NEON/SVEMath.h"
+#include "src/core/NEON/wrapper/intrinsics/intrinsics.h"
+#include <arm_sve.h>
+
+namespace arm_compute
+{
+namespace cpu
+{
+#define DECLARE_ADD_KERNEL(func_name) \
+    void func_name(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window)
+
+DECLARE_ADD_KERNEL(add_qasymm8_sve);
+DECLARE_ADD_KERNEL(add_qasymm8_signed_sve);
+DECLARE_ADD_KERNEL(add_qsymm16_sve);
+DECLARE_ADD_KERNEL(add_s16_u8_s16_sve);
+DECLARE_ADD_KERNEL(add_u8_s16_s16_sve);
+DECLARE_ADD_KERNEL(add_u8_u8_s16_sve);
+
+#undef DECLARE_ADD_KERNEL
+
+template <typename ScalarType>
+void add_same_sve(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window)
+{
+    const auto all_true_pg           = wrapper::svptrue<ScalarType>();
+    const auto window_start_x        = static_cast<int>(window.x().start());
+    const auto window_end_x          = static_cast<int>(window.x().end());
+    const bool is_broadcast_across_x = src0->info()->tensor_shape().x() != src1->info()->tensor_shape().x();
+    const bool is_sat                = (policy == ConvertPolicy::SATURATE);
+
+    // Clear X Dimension on execution window as we handle manually
+    Window win = window;
+    win.set(Window::DimX, Window::Dimension(0, 1, 1));
+
+    // Create input windows
+    Window input1_win = window.broadcast_if_dimension_le_one(src0->info()->tensor_shape());
+    Window input2_win = window.broadcast_if_dimension_le_one(src1->info()->tensor_shape());
+
+    Iterator input1(src0, window.broadcast_if_dimension_le_one(src0->info()->tensor_shape()));
+    Iterator input2(src1, window.broadcast_if_dimension_le_one(src1->info()->tensor_shape()));
+    Iterator output(dst, window);
+
+    if(is_broadcast_across_x)
+    {
+        const bool     is_broadcast_input_2 = input2_win.x().step() == 0;
+        Window         broadcast_win        = is_broadcast_input_2 ? input2_win : input1_win;
+        Window         non_broadcast_win    = !is_broadcast_input_2 ? input2_win : input1_win;
+        const ITensor *broadcast_tensor     = is_broadcast_input_2 ? src1 : src0;
+        const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? src1 : src0;
+
+        // Clear X Dimension on execution window as we handle manually
+        non_broadcast_win.set(Window::DimX, Window::Dimension(0, 1, 1));
+
+        Iterator broadcast_input(broadcast_tensor, broadcast_win);
+        Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win);
+        Iterator output(dst, win);
+
+        execute_window_loop(win, [&](const Coordinates &)
+        {
+            const auto non_broadcast_input_ptr = reinterpret_cast<const ScalarType *>(non_broadcast_input.ptr());
+            const auto output_ptr              = reinterpret_cast<ScalarType *>(output.ptr());
+
+            const ScalarType broadcast_value     = *reinterpret_cast<const ScalarType *>(broadcast_input.ptr());
+            const auto       broadcast_value_vec = wrapper::svdup_n(broadcast_value);
+
+            int      x  = window_start_x;
+            svbool_t pg = wrapper::svwhilelt<ScalarType>(x, window_end_x);
+            do
+            {
+                const auto non_broadcast_v = svld1(pg, non_broadcast_input_ptr + x);
+                auto       res             = is_sat ? wrapper::svqadd(broadcast_value_vec, non_broadcast_v) : svadd_z(pg, broadcast_value_vec, non_broadcast_v);
+                svst1(pg, output_ptr + x, res);
+
+                x += wrapper::svcnt<ScalarType>();
+                pg = wrapper::svwhilelt<ScalarType>(x, window_end_x);
+            }
+            while(svptest_any(all_true_pg, pg));
+        },
+        broadcast_input, non_broadcast_input, output);
+    }
+    else
+    {
+        // Clear X Dimension on execution window as we handle manually
+        input1_win.set(Window::DimX, Window::Dimension(0, 1, 1));
+        input2_win.set(Window::DimX, Window::Dimension(0, 1, 1));
+
+        Iterator input1(src0, input1_win);
+        Iterator input2(src1, input2_win);
+        Iterator output(dst, win);
+
+        execute_window_loop(win, [&](const Coordinates &)
+        {
+            const auto input1_ptr = reinterpret_cast<const ScalarType *>(input1.ptr());
+            const auto input2_ptr = reinterpret_cast<const ScalarType *>(input2.ptr());
+            const auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr());
+
+            int      x  = window_start_x;
+            svbool_t pg = wrapper::svwhilelt<ScalarType>(x, window_end_x);
+            do
+            {
+                const auto val1 = svld1(pg, input1_ptr + x);
+                const auto val2 = svld1(pg, input2_ptr + x);
+                const auto res  = is_sat ? wrapper::svqadd(val1, val2) : svadd_z(pg, val1, val2);
+                svst1(pg, output_ptr + x, res);
+
+                x += wrapper::svcnt<ScalarType>();
+                pg = wrapper::svwhilelt<ScalarType>(x, window_end_x);
+            }
+            while(svptest_any(all_true_pg, pg));
+        },
+        input1, input2, output);
+    }
+}
+} // namespace cpu
+} // namespace arm_compute
+#endif // defined(__ARM_FEATURE_SVE)
+#endif // SRC_CORE_SVE_KERNELS_ADD_LIST_H
\ No newline at end of file