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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* Copyright (c) 2017-2018 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 "arm_compute/runtime/CL/functions/CLTransposeConvLayerUpsample.h"
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include <cmath>
#include <memory>
#include <tuple>
using namespace arm_compute;
CLTransposeConvLayerUpsample::CLTransposeConvLayerUpsample() // NOLINT
: _upsample(),
_output(nullptr)
{
}
Status CLTransposeConvLayerUpsample::validate(const ITensorInfo *input, const ITensorInfo *output,
const BorderSize &inner_border,
const PadStrideInfo &info)
{
return CLTransposeConvLayerUpsampleKernel::validate(input, output, inner_border, info);
}
void CLTransposeConvLayerUpsample::configure(ICLTensor *input, ICLTensor *output,
const BorderSize &inner_border,
const PadStrideInfo &info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
_output = output;
_upsample.configure(input, _output, inner_border, info);
}
void CLTransposeConvLayerUpsample::run()
{
_output->map(CLScheduler::get().queue(), true);
if (is_data_type_quantized_asymmetric(_output->info()->data_type()))
{
const uint8_t quantized_zero = _output->info()->quantization_info().uniform().offset;
std::fill_n(_output->buffer(), _output->info()->total_size(), quantized_zero);
}
else
{
memset(_output->buffer(), 0, _output->info()->total_size());
}
_output->unmap(CLScheduler::get().queue());
CLScheduler::get().enqueue(_upsample, false);
}
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