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/*
* Copyright (c) 2019 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 __NEURUN_BACKEND_CUSTOM_KERNEL_BUILDER_H__
#define __NEURUN_BACKEND_CUSTOM_KERNEL_BUILDER_H__
#include "exec/IFunction.h"
#include "misc/tensor/Shape.h"
#include "ir/DataType.h"
#include <vector>
#include <memory>
namespace neurun
{
namespace backend
{
namespace custom
{
using Shape = nnfw::misc::tensor::Shape;
struct TypeInfo
{
Shape shape;
ir::DataType dtype;
};
struct CustomKernelConfigParams
{
std::vector<void *> input_allocations;
std::vector<TypeInfo> input_types;
std::vector<void *> output_allocations;
std::vector<TypeInfo> output_types;
char *userdata;
size_t userdata_size;
};
class IKernelBuilder
{
public:
virtual ~IKernelBuilder() = default;
virtual std::unique_ptr<exec::IFunction> buildKernel(const std::string &id,
CustomKernelConfigParams &¶ms) const = 0;
};
} // namespace custom
} // namespace backend
} // namespace neurun
#endif // __NEURUN_BACKEND_CUSTOM_KERNEL_BUILDER_H__
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