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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_CONTROL_FLOW_OPS_H_
- #define GE_CONTROL_FLOW_OPS_H_
-
- #include "graph/operator_reg.h"
- #include "graph/operator.h"
-
- namespace ge {
-
- REG_OP(Merge)
- .DYNAMIC_INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(value_index, TensorType({DT_INT32}))
- .OP_END_FACTORY_REG(Merge)
-
- REG_OP(RefMerge)
- .DYNAMIC_INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(value_index, TensorType({DT_INT32}))
- .OP_END_FACTORY_REG(RefMerge)
-
- REG_OP(Switch)
- .INPUT(data, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .INPUT(pred, TensorType({DT_BOOL}))
- .OUTPUT(output_false, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(output_true, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OP_END_FACTORY_REG(Switch)
-
- REG_OP(RefSwitch)
- .INPUT(data, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .INPUT(pred, TensorType({DT_BOOL}))
- .OUTPUT(output_false, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(output_true, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OP_END_FACTORY_REG(RefSwitch)
-
- REG_OP(SwitchN)
- .INPUT(data, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .INPUT(pred_value, TensorType({DT_INT64}))
- .DYNAMIC_OUTPUT(output, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OP_END_FACTORY_REG(SwitchN)
-
- REG_OP(Enter)
- .INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .ATTR(frame_name, String, "")
- .ATTR(is_constant, Bool, false)
- .OP_END_FACTORY_REG(Enter)
-
- REG_OP(RefEnter)
- .INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .ATTR(frame_name, String, "")
- .ATTR(is_constant, Bool, false)
- .OP_END_FACTORY_REG(RefEnter)
-
- REG_OP(LoopCond)
- .INPUT(x, TensorType({DT_BOOL}))
- .OUTPUT(y, TensorType({DT_BOOL}))
- .OP_END_FACTORY_REG(LoopCond)
-
- REG_OP(NextIteration)
- .INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OP_END_FACTORY_REG(NextIteration)
-
- REG_OP(RefNextIteration)
- .INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OP_END_FACTORY_REG(RefNextIteration)
-
- REG_OP(Exit)
- .INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OP_END_FACTORY_REG(Exit)
-
- REG_OP(RefExit)
- .INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE,
- DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32,
- DT_UINT64, DT_BOOL}))
- .OP_END_FACTORY_REG(RefExit)
-
- REG_OP(ControlTrigger)
- .OP_END_FACTORY_REG(ControlTrigger)
- } // namespace ge
-
- #endif // GE_CONTROL_FLOW_OPS_H_
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