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126 lines
3.5 KiB
126 lines
3.5 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_FUNCTIONAL_OPS_H_
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#define GE_FUNCTIONAL_OPS_H_
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#include "graph/operator_reg.h"
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#include "graph/operator.h"
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namespace ge {
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REG_OP(SymbolicGradient)
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.DYNAMIC_INPUT(input, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(f)
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.OP_END_FACTORY_REG(SymbolicGradient)
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REG_OP(RemoteCall)
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.INPUT(target, DT_STRING)
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.DYNAMIC_INPUT(args, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(f)
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.OP_END_FACTORY_REG(RemoteCall)
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REG_OP(_If)
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.INPUT(cond, TensorType::ALL())
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.DYNAMIC_INPUT(input, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(then_branch)
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.GRAPH(else_branch)
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.OP_END_FACTORY_REG(_If)
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REG_OP(StatelessIf)
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.INPUT(cond, TensorType::ALL())
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.DYNAMIC_INPUT(input, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(then_branch)
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.GRAPH(else_branch)
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.OP_END_FACTORY_REG(StatelessIf)
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REG_OP(If)
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.INPUT(cond, TensorType::ALL())
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.DYNAMIC_INPUT(input, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(then_branch)
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.GRAPH(else_branch)
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.OP_END_FACTORY_REG(If)
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REG_OP(Case)
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.INPUT(branch_index, DT_INT32)
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.DYNAMIC_INPUT(input, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.DYNAMIC_GRAPH(branches)
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.OP_END_FACTORY_REG(Case)
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REG_OP(_While)
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.DYNAMIC_INPUT(input, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(cond)
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.GRAPH(body)
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.OP_END_FACTORY_REG(_While)
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REG_OP(While)
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.DYNAMIC_INPUT(input, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(cond)
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.GRAPH(body)
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.ATTR(parallel_iterations, Int, 10)
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.OP_END_FACTORY_REG(While)
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REG_OP(StatelessWhile)
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.DYNAMIC_INPUT(input, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(cond)
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.GRAPH(body)
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.ATTR(parallel_iterations, Int, 10)
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.OP_END_FACTORY_REG(StatelessWhile)
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REG_OP(For)
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.INPUT(start, DT_INT32)
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.INPUT(limit, DT_INT32)
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.INPUT(delta, DT_INT32)
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.DYNAMIC_INPUT(input, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(body)
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.OP_END_FACTORY_REG(For)
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REG_OP(PartitionedCall)
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.DYNAMIC_INPUT(args, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(f)
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.ATTR(config, String, "")
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.ATTR(config_proto, String, "")
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.ATTR(executor_type, String, "")
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.OP_END_FACTORY_REG(PartitionedCall)
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REG_OP(StatefulPartitionedCall)
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.DYNAMIC_INPUT(args, TensorType::ALL())
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.DYNAMIC_OUTPUT(output, TensorType::ALL())
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.GRAPH(f)
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.ATTR(config, String, "")
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.ATTR(config_proto, String, "")
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.ATTR(executor_type, String, "")
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.OP_END_FACTORY_REG(StatefulPartitionedCall)
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REG_OP(FakeParam)
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.OUTPUT(output, TensorType::ALL())
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.ATTR(shape, ListInt, {})
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.OP_END_FACTORY_REG(FakeParam)
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} // namespace ge
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#endif // GE_FUNCTIONAL_OPS_H_
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