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+/*
+ * Copyright (c) 2016-2022 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.
+ */
+#include "src/cpu/operators/CpuMul.h"
+
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+
+#include "src/common/utils/Log.h"
+#include "src/cpu/kernels/CpuMulKernel.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+Status CpuMul::validate(const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ float scale,
+ ConvertPolicy overflow_policy,
+ RoundingPolicy rounding_policy,
+ const ActivationLayerInfo &act_info)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
+ return kernels::CpuMulKernel::validate(src1, src2, dst, scale, overflow_policy, rounding_policy);
+}
+
+void CpuMul::configure(ITensorInfo *src1,
+ ITensorInfo *src2,
+ ITensorInfo *dst,
+ float scale,
+ ConvertPolicy overflow_policy,
+ RoundingPolicy rounding_policy,
+ const ActivationLayerInfo &act_info)
+{
+ ARM_COMPUTE_UNUSED(act_info);
+ ARM_COMPUTE_LOG_PARAMS(src1, src2, dst, scale, overflow_policy, rounding_policy, act_info);
+
+ auto k = std::make_unique<kernels::CpuMulKernel>();
+ k->configure(src1, src2, dst, scale, overflow_policy, rounding_policy);
+ _kernel = std::move(k);
+}
+
+void CpuMul::run(ITensorPack &tensors)
+{
+ ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided");
+ auto split_dimension = static_cast<kernels::CpuMulKernel *>(_kernel.get())->get_split_dimension_hint();
+ NEScheduler::get().schedule_op(_kernel.get(), split_dimension, _kernel->window(), tensors);
+}
+
+Status CpuComplexMul::validate(const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ const ActivationLayerInfo &act_info)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
+ return kernels::CpuComplexMulKernel::validate(src1, src2, dst);
+}
+
+void CpuComplexMul::configure(ITensorInfo *src1,
+ ITensorInfo *src2,
+ ITensorInfo *dst,
+ const ActivationLayerInfo &act_info)
+{
+ ARM_COMPUTE_UNUSED(act_info);
+ ARM_COMPUTE_LOG_PARAMS(src1, src2, dst, act_info);
+
+ auto k = std::make_unique<kernels::CpuComplexMulKernel>();
+ k->configure(src1, src2, dst);
+ _kernel = std::move(k);
+}
+
+void CpuComplexMul::run(ITensorPack &tensors)
+{
+ ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided");
+ NEScheduler::get().schedule_op(_kernel.get(), Window::DimY, _kernel->window(), tensors);
+}
+} // namespace cpu
+} // namespace arm_compute