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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 "OneHotLayer.h"
#include "OperationUtils.h"
#include <cker/operation/OneHot.h>
namespace onert
{
namespace backend
{
namespace cpu
{
namespace kernel
{
void OneHotLayer::oneHotFloat32()
{
nnfw::cker::OneHot<float, int32_t>(
_depth, _on_value, _off_value, _axis, convertTensorToCkerShape(_indices),
reinterpret_cast<const int32_t *>(_indices->buffer()), convertTensorToCkerShape(_output),
reinterpret_cast<float *>(_output->buffer()));
}
void OneHotLayer::oneHotQuant8() { throw std::runtime_error{"OneHot NYI for quantized"}; }
void OneHotLayer::configure(const operand::Tensor *indices, operand::Tensor *output, int32_t depth,
float on_value, float off_value, int32_t axis)
{
_indices = indices;
_output = output;
_depth = depth;
_on_value = on_value;
_off_value = off_value;
_axis = axis;
if (_axis == -1)
_axis = _indices->num_dimensions();
}
void OneHotLayer::run()
{
if (_output->data_type() == OperandType::FLOAT32)
{
oneHotFloat32();
}
else if (_output->data_type() == OperandType::QUANT8_ASYMM)
{
oneHotQuant8();
}
}
} // namespace kernel
} // namespace cpu
} // namespace backend
} // namespace onert
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