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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2018-2019 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/NEON/functions/NEArgMinMax.h"
#include "arm_compute/core/CPP/Validate.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
namespace arm_compute
{
template <ReductionOperation OP>
NEArgMinMaxStatic<OP>::NEArgMinMaxStatic(std::shared_ptr<IMemoryManager> memory_manager)
: _memory_group(std::move(memory_manager)), _reduction_kernel(), _reduced_out(), _reshape()
{
}
template <ReductionOperation OP>
Status NEArgMinMaxStatic<OP>::validate(const ITensorInfo *input, int axis,
const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16,
DataType::F32);
TensorShape out_shape = input->tensor_shape();
const int input_dims = input->num_dimensions();
int axis_local = axis;
// Convert negative axis
axis_local = wrap_around(axis_local, input_dims);
ARM_COMPUTE_RETURN_ERROR_ON(axis_local > 3);
ARM_COMPUTE_RETURN_ERROR_ON(static_cast<unsigned int>(axis_local) > input->num_dimensions() - 1);
out_shape.remove_dimension(axis_local);
const TensorInfo out_info = output->clone()->set_tensor_shape(out_shape);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &out_info);
return Status{};
}
template <ReductionOperation OP>
void NEArgMinMaxStatic<OP>::configure(ITensor *input, int axis, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input);
int axis_local = axis;
const int input_dims = input->info()->num_dimensions();
// Convert negative axis
axis_local = wrap_around(axis_local, input_dims);
// Perform reduction for axis
TensorShape intermediate_shape = input->info()->tensor_shape();
intermediate_shape.set(axis_local, 1);
auto in = input;
_reduced_out.allocator()->init(TensorInfo(intermediate_shape, output->info()->num_channels(),
output->info()->data_type(),
output->info()->quantization_info()));
_memory_group.manage(&_reduced_out);
_reduction_kernel.configure(in, axis_local, &_reduced_out, OP);
// Allocate intermediate tensor
_reduced_out.allocator()->allocate();
// Configure reshape layer if we want to drop the dimensions
TensorShape out_shape = input->info()->tensor_shape();
out_shape.remove_dimension(axis_local);
auto_init_if_empty(*output->info(), output->info()->clone()->set_tensor_shape(out_shape));
_reshape.configure(&_reduced_out, output);
}
template <ReductionOperation OP> void NEArgMinMaxStatic<OP>::run()
{
MemoryGroupResourceScope scope_mg(_memory_group);
_reduction_kernel.run();
_reshape.run();
}
// Supported Specializations
template class NEArgMinMaxStatic<ReductionOperation::ARG_IDX_MAX>;
template class NEArgMinMaxStatic<ReductionOperation::ARG_IDX_MIN>;
} // namespace arm_compute
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