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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 "PermuteLayer.h"
namespace neurun
{
namespace backend
{
namespace cpu
{
namespace kernel
{
using Type = model::operation::PermuteNode::Type;
void PermuteLayer::configure(std::shared_ptr<::neurun::backend::operand::IObject> input,
std::shared_ptr<::neurun::backend::operand::IObject> output,
const model::Shape &output_shape, Type type, model::DataType dataType)
{
_input = input;
_output = output;
_output_shape = output_shape;
_type = type;
_dataType = dataType;
}
void PermuteLayer::run()
{
using ::neurun::model::DataType;
switch (_dataType)
{
case DataType::FLOAT32:
runTempl<float>();
break;
case DataType::INT32:
runTempl<int32_t>();
break;
case DataType::UINT32:
runTempl<uint32_t>();
break;
case DataType::BOOL8:
case DataType::QUANT8_ASYMM:
runTempl<uint8_t>();
break;
default:
throw std::runtime_error("NYI");
break;
}
}
} // namespace kernel
} // namespace cpu
} // namespace backend
} // namespace neurun
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