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/*
* Copyright (c) 2018 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.
*/
#include "internal/layers/SimpleNeg.h"
#include <arm_compute/runtime/CL/CLScheduler.h>
void SimpleNeg::configure(::arm_compute::ITensor *input, ::arm_compute::ITensor *output)
{
_input = input;
_output = output;
}
void SimpleNeg::run()
{
auto &queue = ::arm_compute::CLScheduler::get().queue();
if (::internal::arm_compute::isGpuMode())
{
CAST_CL(_input)->map(queue);
CAST_CL(_output)->map(queue);
}
arm_compute::Window window;
window.use_tensor_dimensions(_output->info()->tensor_shape());
execute_window_loop(window, [this](const arm_compute::Coordinates &id) {
// NOTE Must be two input tensors of identical type
// Must be output tensor of the same type as input0.
assert(_input->info()->data_type() == _output->info()->data_type());
switch (_input->info()->data_type())
{
case ::arm_compute::DataType::F32:
{
const auto input_value = *reinterpret_cast<float *>(_input->ptr_to_element(id));
*reinterpret_cast<float *>(_output->ptr_to_element(id)) = -input_value;
break;
}
case ::arm_compute::DataType::S32:
{
const auto input_value = *reinterpret_cast<int32_t *>(_input->ptr_to_element(id));
*reinterpret_cast<int32_t *>(_output->ptr_to_element(id)) = -input_value;
break;
}
case ::arm_compute::DataType::U32:
{
const auto input_value = *reinterpret_cast<uint32_t *>(_input->ptr_to_element(id));
*reinterpret_cast<uint32_t *>(_output->ptr_to_element(id)) = -input_value;
break;
}
default:
throw std::runtime_error("Not supported, yet");
break;
}
});
if (::internal::arm_compute::isGpuMode())
{
CAST_CL(_input)->unmap(queue);
CAST_CL(_output)->unmap(queue);
}
}
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