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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.
*/
#ifndef _NNC_CORE_BACKEND_INTERPRETER_COMMON_
#define _NNC_CORE_BACKEND_INTERPRETER_COMMON_
#include "mir/Tensor.h"
#include "mir/TensorVariant.h"
#include "mir/DataType.h"
#include "mir/Shape.h"
#include "mir/Index.h"
namespace mir_interpreter
{
template <template <typename> class F, typename... Args>
void dispatch(mir::DataType dt, Args &&... args)
{
switch (dt)
{
case mir::DataType::FLOAT32:
return F<float>::run(std::forward<Args>(args)...);
case mir::DataType::FLOAT64:
return F<double>::run(std::forward<Args>(args)...);
case mir::DataType::INT32:
return F<int32_t>::run(std::forward<Args>(args)...);
case mir::DataType::INT64:
return F<int64_t>::run(std::forward<Args>(args)...);
case mir::DataType::UINT8:
return F<uint8_t>::run(std::forward<Args>(args)...);
case mir::DataType::UNKNOWN:
throw std::runtime_error{"Unknown datatype met during operation execution"};
default:
throw std::runtime_error{"mir::DataType enum mismatch"};
}
}
template <typename T> void erase(mir::TensorVariant &tv)
{
size_t element_count = tv.getShape().numElements();
for (size_t i = 0; i < element_count; ++i)
{
auto ptr = tv.atOffset(i);
*reinterpret_cast<T *>(ptr) = 0;
}
}
mir::Index shift(const mir::Index &in_index, const mir::Shape &shift_from);
} // namespace mir_interpreter
#endif // _NNC_CORE_BACKEND_INTERPRETER_COMMON_
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