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/**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* 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 MINDSPORE_LITE_INCLUDE_KERNEL_H
#define MINDSPORE_LITE_INCLUDE_KERNEL_H
#include <vector>
#include <string>
#include <utility>
#include <map>
#include "schema/model_generated.h"
#include "include/api/types.h"
#include "include/api/context.h"
#include "include/api/kernel_api.h"
namespace mindspore::kernel {
class MS_API Kernel : public IKernel<schema::Primitive> {
public:
Kernel() = default;
Kernel(const std::vector<mindspore::MSTensor> &inputs, const std::vector<mindspore::MSTensor> &outputs,
const schema::Primitive *primitive, const mindspore::Context *ctx)
: IKernel<schema::Primitive>(inputs, outputs, primitive, ctx) {
Initialize();
}
virtual ~Kernel() = default;
int InferShape() override;
/// \brief obtain kernel's type.
///
/// \return kernel's type.
virtual schema::PrimitiveType type() const { return type_; }
/// \brief obtain kernel's quant type.
///
/// \return kernel's quant type.
virtual schema::QuantType quant_type() const { return quant_type_; }
/// \brief obtain the primitive of kernel generated by flatbuffers.
protected:
void Initialize();
protected:
schema::PrimitiveType type_ = schema::PrimitiveType_NONE;
schema::QuantType quant_type_ = schema::QuantType_QUANT_NONE;
};
} // namespace mindspore::kernel
#endif // MINDSPORE_LITE_INCLUDE_KERNEL_H
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