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/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef GE_GRAPH_PASSES_FOLDING_KERNEL_PACK_KERNEL_H_
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#define GE_GRAPH_PASSES_FOLDING_KERNEL_PACK_KERNEL_H_
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#include <vector>
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#include "inc/kernel.h"
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namespace ge {
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/**
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* @ingroup ge
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* @brief Pack operator processing
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* @author
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*/
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class PackKernel : public Kernel {
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public:
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Status Compute(const ge::OpDescPtr op_desc_ptr, const std::vector<ge::ConstGeTensorPtr> &input,
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std::vector<ge::GeTensorPtr> &v_output) override;
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private:
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Status ValidateKernelParams(const ge::OpDescPtr &op_desc_ptr, const std::vector<ge::ConstGeTensorPtr> &input);
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Status ValidateInputs(const ge::OpDescPtr &op_desc_ptr, const std::vector<ge::ConstGeTensorPtr> &input);
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void ExpandDims(const int64_t axis, const std::vector<ge::ConstGeTensorPtr> &input, GeShape &final_shape);
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Status CopyOutputData(const GeShape &final_shape, const std::vector<ge::ConstGeTensorPtr> &input,
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ge::GeTensorPtr &output_ptr);
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int64_t n_ = 0; // count of inputs
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int64_t axis_ = 0; // axis to stack along.
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DataType data_type_; // data type of inputs
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};
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} // namespace ge
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#endif // GE_GRAPH_PASSES_FOLDING_KERNEL_PACK_KERNEL_H_
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