aboutsummaryrefslogtreecommitdiff
path: root/src/cpu/kernels/elementwise_binary/generic/sve/impl.h
diff options
context:
space:
mode:
Diffstat (limited to 'src/cpu/kernels/elementwise_binary/generic/sve/impl.h')
-rw-r--r--src/cpu/kernels/elementwise_binary/generic/sve/impl.h167
1 files changed, 167 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..4c61b9f315
--- /dev/null
+++ b/src/cpu/kernels/elementwise_binary/generic/sve/impl.h
@@ -0,0 +1,167 @@
+/*
+ * 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
+
+#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 <typename ScalarType>
+void elementwise_arithmetic_op(
+ const ITensor *in1, const ITensor *in2, ITensor *out, ArithmeticOperation op, const Window &window);
+
+template <typename ScalarType, typename OutputScalarType = uint8_t>
+void elementwise_comparison_op(
+ const ITensor *in1, const ITensor *in2, ITensor *out, ComparisonOperation op, const Window &window);
+} // namespace cpu
+} // namespace arm_compute
+#endif /* SRC_CORE_SVE_KERNELS_ELEMENTWISE_LIST_H */