|
- /**
- * Copyright 2019-2020 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_OP_ROIPOOLING_OPS_H_
- #define GE_OP_ROIPOOLING_OPS_H_
-
- #include "graph/operator_reg.h"
-
- namespace ge {
-
- REG_OP(RoiPooling)
- .INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16}))
- .INPUT(rois, TensorType({DT_FLOAT, DT_FLOAT16}))
- .INPUT(roi_actual_num, TensorType({DT_INT32}))
- .ATTR(roi_max_num, Int,3008)
- .REQUIRED_ATTR(pooled_h, Int)
- .REQUIRED_ATTR(pooled_w, Int)
- .ATTR(spatial_scale, Float, 0.0625)
- .OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16}))
- .OP_END_FACTORY_REG(RoiPooling)
-
- } // namespace ge
-
- #endif // GE_OP_BITWISE_OPS_H_
|
