graphengine/third_party/fwkacllib/inc/ops/functional_ops.h

/**
 * 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_FUNCTIONAL_OPS_H_
#define GE_FUNCTIONAL_OPS_H_

#include "graph/operator_reg.h"
#include "graph/operator.h"

namespace ge {
REG_OP(SymbolicGradient)
    .DYNAMIC_INPUT(input, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(f)
    .OP_END_FACTORY_REG(SymbolicGradient)

REG_OP(RemoteCall)
    .INPUT(target, DT_STRING)
    .DYNAMIC_INPUT(args, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(f)
    .OP_END_FACTORY_REG(RemoteCall)

REG_OP(_If)
    .INPUT(cond, TensorType::ALL())
    .DYNAMIC_INPUT(input, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(then_branch)
    .GRAPH(else_branch)
    .OP_END_FACTORY_REG(_If)

REG_OP(StatelessIf)
    .INPUT(cond, TensorType::ALL())
    .DYNAMIC_INPUT(input, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(then_branch)
    .GRAPH(else_branch)
    .OP_END_FACTORY_REG(StatelessIf)

REG_OP(If)
    .INPUT(cond, TensorType::ALL())
    .DYNAMIC_INPUT(input, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(then_branch)
    .GRAPH(else_branch)
    .OP_END_FACTORY_REG(If)

REG_OP(Case)
    .INPUT(branch_index, DT_INT32)
    .DYNAMIC_INPUT(input, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .DYNAMIC_GRAPH(branches)
    .OP_END_FACTORY_REG(Case)

REG_OP(_While)
    .DYNAMIC_INPUT(input, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(cond)
    .GRAPH(body)
    .OP_END_FACTORY_REG(_While)

REG_OP(While)
    .DYNAMIC_INPUT(input, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(cond)
    .GRAPH(body)
    .ATTR(parallel_iterations, Int, 10)
    .OP_END_FACTORY_REG(While)

REG_OP(StatelessWhile)
    .DYNAMIC_INPUT(input, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(cond)
    .GRAPH(body)
    .ATTR(parallel_iterations, Int, 10)
    .OP_END_FACTORY_REG(StatelessWhile)

REG_OP(For)
    .INPUT(start, DT_INT32)
    .INPUT(limit, DT_INT32)
    .INPUT(delta, DT_INT32)
    .DYNAMIC_INPUT(input, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(body)
    .OP_END_FACTORY_REG(For)

REG_OP(PartitionedCall)
    .DYNAMIC_INPUT(args, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(f)
    .ATTR(config, String, "")
    .ATTR(config_proto, String, "")
    .ATTR(executor_type, String, "")
    .OP_END_FACTORY_REG(PartitionedCall)

REG_OP(StatefulPartitionedCall)
    .DYNAMIC_INPUT(args, TensorType::ALL())
    .DYNAMIC_OUTPUT(output, TensorType::ALL())
    .GRAPH(f)
    .ATTR(config, String, "")
    .ATTR(config_proto, String, "")
    .ATTR(executor_type, String, "")
    .OP_END_FACTORY_REG(StatefulPartitionedCall)

REG_OP(FakeParam)
    .OUTPUT(output, TensorType::ALL())
    .ATTR(shape, ListInt, {})
    .OP_END_FACTORY_REG(FakeParam)

}  // namespace ge

#endif  // GE_FUNCTIONAL_OPS_H_