blob: 4a3f1827c78965a44fdba7fa62e9c9e77fca60c7 [file] [log] [blame]
/*
* Copyright (c) 2021, 2024 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/CpuQuantize.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "src/common/utils/Log.h"
#include "src/cpu/kernels/CpuQuantizeKernel.h"
namespace arm_compute
{
namespace cpu
{
Status CpuQuantize::validate(const ITensorInfo *src, const ITensorInfo *dst)
{
ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuQuantizeKernel::validate(src, dst));
return Status{};
}
void CpuQuantize::configure(const ITensorInfo *src, ITensorInfo *dst)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
ARM_COMPUTE_LOG_PARAMS(src, dst);
// Configure quantize kernel
auto k = std::make_unique<kernels::CpuQuantizeKernel>();
k->configure(src, dst);
_kernel = std::move(k);
}
void CpuQuantize::run(ITensorPack &tensors)
{
ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided");
auto split_dimension = static_cast<kernels::CpuQuantizeKernel *>(_kernel.get())->get_split_dimension_hint();
NEScheduler::get().schedule_op(_kernel.get(), split_dimension, _kernel->window(), tensors);
}
} // namespace cpu
} // namespace arm_compute