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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
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