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57 lines
1.8 KiB
57 lines
1.8 KiB
5 years ago
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/**
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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_SWAP_CO_OPS_H_
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#define GE_OP_SWAP_CO_OPS_H_
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#include "graph/operator_reg.h"
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namespace ge {
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/**
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*@brief Folds the convolution input weight constant of the preceding layer \n
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* of PSROIPooling to convert the N dimension of the weight from \n
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* (output_dim, group_size*group_size) to \n
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* (group_size*group_size, int((output_dim+15)/C0)*C0).
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*@see PSROIPooling
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*@par Inputs:
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* One input:
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*x: An NCHW tensor of type float16 or float32, describing the weight of\n
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* convolution. Dim N must equal output_dim*group_size*group_size.
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*@par Attributes:
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*@li output_dim: A required int32, specifying the number of output channels.\n
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* Must be greater than "0".
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*@li group_size: A required int32, specifying the number of groups to encode\n
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* position-sensitive score maps. Must be within the range (0, 128).
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*@par Outputs:
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*y: An NCHW tensor of type float16 or float32, describing the result weight\n
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* of convolution.
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*/
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REG_OP(SwapCo)
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.INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16}))
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.ATTR(output_dim, Int, 0)
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.ATTR(group_size, Int, 0)
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.OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16}))
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.OP_END_FACTORY_REG(SwapCo)
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} // namespace ge
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#endif // GE_OP_SWAP_CO_OPS_H_
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