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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_GREATER_KERNEL_H_
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#define GE_GRAPH_PASSES_FOLDING_KERNEL_GREATER_KERNEL_H_
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#include <set>
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#include <vector>
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#include "common/fp16_t.h"
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#include "graph/ge_tensor.h"
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#include "inc/kernel.h"
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namespace ge {
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class GreaterKernel : public Kernel {
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public:
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Status Compute(const OpDescPtr op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
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std::vector<GeTensorPtr> &v_output) override;
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private:
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Status ComputeOutData(ConstGeTensorPtr input_x1, ConstGeTensorPtr input_x2, std::vector<int64_t> &x1_indexes,
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std::vector<int64_t> &x2_indexes, std::vector<uint8_t> &y_data);
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Status GreaterCheck(const std::vector<ConstGeTensorPtr> &input);
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const std::set<DataType> greater_supported_type = {
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DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8,
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DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_BOOL, DT_DOUBLE,
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};
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};
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} // namespace ge
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#endif // GE_GRAPH_PASSES_FOLDING_KERNEL_GREATER_KERNEL_H_
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