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/*
* Copyright (c) 2020 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 "ArgMinMaxLayer.h"
#include "OperationUtils.h"
#include <cker/operation/ArgMinMax.h>
#include <assert.h>
namespace onert
{
namespace backend
{
namespace cpu
{
namespace ops
{
namespace
{
template <typename T> std::function<bool(T, T)> GetComparefunction(bool is_arg_max)
{
if (is_arg_max)
{
return std::greater<T>();
}
else
{
return std::less<T>();
}
}
} // namespace
void ArgMinMaxLayer::configure(const IPortableTensor *input, IPortableTensor *output,
const IPortableTensor *axis, bool is_arg_max)
{
_input = input;
_output = output;
_axis = axis;
_is_arg_max = is_arg_max;
}
void ArgMinMaxLayer::run()
{
if (_axis->total_size() != sizeof(int32_t))
{
throw std::runtime_error("ArgMinMax: wrong shape of axis");
}
auto axis = *getBuffer<int32_t>(_axis);
if (axis < 0)
{
axis += _input->getShape().rank();
}
#define TF_LITE_ARG_MIN_MAX(input_type, axis_type, output_type) \
ArgMinMax(getShape(_input), getBuffer<input_type>(_input), getShape(_output), \
getBuffer<output_type>(_output), axis, GetComparefunction<input_type>(_is_arg_max));
if (_output->data_type() == ir::DataType::INT32)
{
switch (_input->data_type())
{
case ir::DataType::FLOAT32:
TF_LITE_ARG_MIN_MAX(float, int32_t, int32_t);
break;
case ir::DataType::QUANT_UINT8_ASYMM:
case ir::DataType::UINT8:
TF_LITE_ARG_MIN_MAX(uint8_t, int32_t, int32_t);
break;
case ir::DataType::QUANT_INT8_ASYMM:
TF_LITE_ARG_MIN_MAX(uint8_t, int32_t, int32_t);
break;
case ir::DataType::INT32:
TF_LITE_ARG_MIN_MAX(int32_t, int32_t, int32_t);
break;
default:
throw std::runtime_error("ArgMinMax: unsupported data type");
}
}
else if (_output->data_type() == ir::DataType::INT64)
{
switch (_input->data_type())
{
case ir::DataType::FLOAT32:
TF_LITE_ARG_MIN_MAX(float, int32_t, int64_t);
break;
case ir::DataType::QUANT_UINT8_ASYMM:
case ir::DataType::UINT8:
TF_LITE_ARG_MIN_MAX(uint8_t, int32_t, int64_t);
break;
case ir::DataType::QUANT_INT8_ASYMM:
TF_LITE_ARG_MIN_MAX(uint8_t, int32_t, int64_t);
break;
case ir::DataType::INT32:
TF_LITE_ARG_MIN_MAX(int32_t, int32_t, int64_t);
break;
default:
throw std::runtime_error("ArgMinMax: unsupported data type");
}
}
else
{
throw std::runtime_error("ArgMinMax: unsupported data type");
}
#undef TF_LITE_ARG_MIN_MAX
}
} // namespace ops
} // namespace cpu
} // namespace backend
} // namespace onert
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