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graphengine/ge/host_kernels/floordiv_kernel.h

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1.8 KiB

/**
* Copyright 2020 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 GE_GRAPH_PASSES_FOLDING_KERNEL_FLOORDIV_KERNEL_H_
#define GE_GRAPH_PASSES_FOLDING_KERNEL_FLOORDIV_KERNEL_H_
#include <vector>
#include "inc/kernel.h"
namespace ge {
class FloorDivKernel : public Kernel {
public:
Status Compute(const OpDescPtr op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
std::vector<GeTensorPtr> &v_output) override;
private:
Status FloorDivCheck(const OpDescPtr &op_desc_ptr, const std::vector<ConstGeTensorPtr> &input) const;
void ShapeCal(const std::vector<ConstGeTensorPtr> &input, GeTensorPtr output_ptr);
template <typename T>
T DivCal(const T &x_i, const T &y_i);
template <typename T>
bool ZeroCheck(const T &element, DataType data_type);
template <typename T>
Status DataCalBroadcast(const T &x, const T &y, size_t num_x, size_t num_y, DataType data_type,
GeTensorPtr output_ptr);
template <typename T>
Status DataCal(const std::vector<ConstGeTensorPtr> &input, ge::GeTensorPtr output_ptr);
Status ComputeByDataType(DataType data_type, const std::vector<ConstGeTensorPtr> &input, GeTensorPtr output_ptr);
};
} // namespace ge
#endif // GE_GRAPH_PASSES_FOLDING_KERNEL_FLOORDIV_KERNEL_H_