Decouple CpuElementwiseKernel

1- reorganize the folders struct according the new definition
2- separate between unary and binary implementations
3- decuple kernels - unary , binary op and binary comparision

Resolves COMPMID-4634
Change-Id: I0195846cc372e74a63c659069a4508de53a22110
Signed-off-by: Dana Zlotnik <dana.zlotnik@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6860
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 165 insertions, 0 deletions

diff --git a/src/cpu/kernels/elementwise_binary/generic/sve/impl.h b/src/cpu/kernels/elementwise_binary/generic/sve/impl.h
new file mode 100644
index 0000000000..b7425c8626
--- /dev/null
+++ b/src/cpu/kernels/elementwise_binary/generic/sve/impl.h
@@ -0,0 +1,165 @@
+/*
+ * Copyright (c) 2021-2022 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_ELEMENTWISE_LIST_H
+#define SRC_CORE_SVE_KERNELS_ELEMENTWISE_LIST_H
+#if defined(ARM_COMPUTE_ENABLE_SVE)
+
+#include "arm_compute/core/Helpers.h"
+#include "src/core/NEON/wrapper/intrinsics/intrinsics.h"
+#include "src/core/NEON/wrapper/svtraits.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+using namespace arm_compute::wrapper;
+
+template <typename VectorType>
+VectorType elementwise_pow(svbool_t &pg, const VectorType &a, const VectorType &b)
+{
+    return svpow_z(pg, a, b);
+}
+
+template <typename VectorType>
+VectorType elementwise_div(svbool_t &pg, const VectorType &a, const VectorType &b)
+{
+    return svdiv_z(pg, a, b);
+}
+
+template <uint32_t bytewidth>
+svbool_t narrow_to_byte_predicate(svbool_t pg)
+{
+    const auto all_false = svpfalse();
+
+    switch(bytewidth)
+    {
+        case 8:
+            pg = svuzp1_b32(pg, all_false);
+        /* fall through */
+        case 4:
+            pg = svuzp1_b16(pg, all_false);
+        /* fall through */
+        case 2:
+            pg = svuzp1_b8(pg, all_false);
+        /* fall through */
+        default:
+            break;
+    }
+    return pg;
+}
+
+template <typename VectorType>
+VectorType elementwise_arithmetic_op(svbool_t &pg, const VectorType &a, const VectorType &b, ArithmeticOperation op)
+{
+    using ScalarType = typename wrapper::sve_scalar<VectorType>::type;
+    VectorType res{};
+
+    switch(op)
+    {
+        case ArithmeticOperation::MAX:
+            res = svmax_z(pg, a, b);
+            break;
+        case ArithmeticOperation::MIN:
+            res = svmin_z(pg, a, b);
+            break;
+        case ArithmeticOperation::SQUARED_DIFF:
+        {
+            const auto tmp = svsub_z(pg, a, b);
+            res            = svmul_z(pg, tmp, tmp);
+            break;
+        }
+        case ArithmeticOperation::PRELU:
+        {
+            const auto zero = svdup_n(ScalarType(0));
+            const auto tmp  = svmul_z(pg, a, b);
+            const auto gt   = svcmpgt(pg, a, zero);
+            res             = svsel(gt, a, tmp);
+            break;
+        }
+        case ArithmeticOperation::DIV:
+        {
+            res = elementwise_div(pg, a, b);
+            break;
+        }
+        case ArithmeticOperation::POWER:
+        {
+            res = elementwise_pow(pg, a, b);
+            break;
+        }
+        default:
+            ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
+    }
+
+    return res;
+}
+
+template <typename InputVectorType, typename OutputVectorType>
+OutputVectorType elementwise_comparison_op(svbool_t &pg, const InputVectorType &a, const InputVectorType &b, ComparisonOperation op)
+{
+    svbool_t selection_vector{};
+
+    switch(op)
+    {
+        case ComparisonOperation::Equal:
+            selection_vector = svcmpeq(pg, a, b);
+            break;
+        case ComparisonOperation::NotEqual:
+            selection_vector = svcmpne(pg, a, b);
+            break;
+        case ComparisonOperation::Greater:
+            selection_vector = svcmpgt(pg, a, b);
+            break;
+        case ComparisonOperation::GreaterEqual:
+            selection_vector = svcmpge(pg, a, b);
+            break;
+        case ComparisonOperation::Less:
+            selection_vector = svcmplt(pg, a, b);
+            break;
+        case ComparisonOperation::LessEqual:
+            selection_vector = svcmple(pg, a, b);
+            break;
+        default:
+            ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
+    }
+
+    using InputScalarType = typename wrapper::sve_scalar<InputVectorType>::type;
+    selection_vector      = narrow_to_byte_predicate<sizeof(InputScalarType)>(selection_vector);
+
+    using OutputScalarType  = typename wrapper::sve_scalar<OutputVectorType>::type;
+    const auto false_vector = svdup_n(static_cast<OutputScalarType>((uint32_t)0));
+    const auto true_vector  = svdup_n(static_cast<OutputScalarType>(~(uint32_t)0));
+    auto       ret          = svsel(selection_vector, true_vector, false_vector);
+
+    return ret;
+}
+
+template <ArithmeticOperation op, typename ScalarType>
+void elementwise_arithmetic_op(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window);
+
+template <ComparisonOperation op, typename ScalarType, typename OutputScalarType = uint8_t>
+void elementwise_comparison_op(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window);
+} // namespace cpu
+} // namespace arm_compute
+#endif // defined(ARM_COMPUTE_ENABLE_SVE)
+#endif /* SRC_CORE_SVE_KERNELS_ELEMENTWISE_LIST_H */