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- /**
- * 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_OUTFEED_OPS_H
- #define GE_OP_OUTFEED_OPS_H
-
- #include "graph/operator.h"
- #include "graph/operator_reg.h"
-
- namespace ge {
-
- /**
- *@brief Enqueue a Tensor on the computation outfeed.
-
- *@par Inputs:
- *Inputs include: \n
- *x: A Tensor. Must be one of the following types: float16, float32, \n
- float64, int8, int16, uint16, uint8, int32, int64, uint32, uint64, \n
- bool, double, string.
-
- *@par Attributes:
- *channel_name: name of operator channel, default "".
-
- *@attention Constraints:\n
- *-The implementation for OutfeedEnqueueOp on Ascend uses AICPU, with bad performance.\n
-
- */
- REG_OP(OutfeedEnqueueOp)
- .DYNAMIC_INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8,
- DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_UINT32,
- DT_UINT64, DT_BOOL, DT_DOUBLE, DT_STRING}))
- .ATTR(channel_name, String, "")
- .OP_END_FACTORY_REG(OutfeedEnqueueOp)
-
- } // namespace ge
-
- #endif // GE_OP_OUTFEED_OPS_H
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