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32 lines
1.1 KiB
32 lines
1.1 KiB
/**
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* Copyright 2019-2020 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_OP_RPN_OPS_H
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#define GE_OP_RPN_OPS_H
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#include "../graph/operator_reg.h"
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namespace ge {
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REG_OP(NMSWithMask)
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.INPUT(box_scores, TensorType({DT_FLOAT, DT_FLOAT16}))
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.OUTPUT(selected_boxes, TensorType({DT_FLOAT, DT_FLOAT16}))
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.OUTPUT(selected_idx, TensorType({DT_INT32}))
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.OUTPUT(selected_mask, TensorType({DT_UINT8}))
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.ATTR(iou_threshold, Float, 0.5)
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.OP_END_FACTORY_REG(NMSWithMask)
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} // namespace ge
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#endif // GE_OP_TRAINING_OPS_H
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