blob: c0f609d1113b8ba7a636a6d0bad1a9da5519102f (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
|
/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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 __ONERT_EXEC_EXECUTOR_BASE_H__
#define __ONERT_EXEC_EXECUTOR_BASE_H__
#include "IPermuteFunction.h"
#include "exec/IExecutor.h"
#include "exec/ExecTime.h"
#include "exec/ExecutionObservee.h"
#include "exec/IFunction.h"
#include "exec/IODescription.h"
#include "ir/Graph.h"
#include "ir/Index.h"
#include "compiler/GraphLowerInfo.h"
#include "ir/OperationIndexMap.h"
#include "compiler/LoweredGraph.h"
#include "compiler/TensorRegistries.h"
#include "backend/builtin/IOTensor.h"
#include "util/TracingCtx.h"
#include <cstdint>
#include <memory>
#include <mutex>
#include <vector>
namespace onert
{
namespace exec
{
class ExecutorBase : public IExecutor
{
public:
/**
* @brief Construct a new ExecutorBase object
* @param graph Graph object
* @param tensor_builders Tensor builders that are currently used
*/
ExecutorBase(std::unique_ptr<compiler::LoweredGraph> &&lowered_graph,
backend::BackendContexts &&backend_contexts,
const compiler::TensorRegistries &tensor_regs, const util::TracingCtx *tracing_ctx);
virtual ~ExecutorBase() = default;
const ir::Graph &graph() final { return _graph; }
const ir::Graph &parent_graph() final { return _parent_graph; }
void execute(const IODescription &desc) final;
void execute(const std::vector<backend::IPortableTensor *> &inputs,
const std::vector<backend::IPortableTensor *> &outputs) override;
// Used only in Dataflow and Parallel Executors
void setIndexedRanks(std::shared_ptr<ir::OperationIndexMap<int64_t>> ranks) final
{
_indexed_ranks = std::move(ranks);
};
virtual void executeImpl(void) = 0;
void addObserver(std::unique_ptr<IExecutionObserver> ref) { _subject.add(std::move(ref)); };
const std::vector<backend::builtin::IOTensor *> &getOutputTensors() const override
{
return _output_tensors;
}
protected:
/**
* @brief Returns @c true if any input tensor is dynamic; @c false if all are static tensors
*/
bool hasDynamicInput();
protected:
ExecutionObservee _subject;
std::shared_ptr<ir::OperationIndexMap<int64_t>> _indexed_ranks;
std::unique_ptr<compiler::LoweredGraph> _lowered_graph;
backend::BackendContexts _backend_contexts;
const ir::Graph &_graph;
const ir::Graph &_parent_graph;
std::vector<backend::builtin::IOTensor *> _input_tensors;
std::vector<backend::builtin::IOTensor *> _output_tensors;
std::mutex _mutex;
const util::TracingCtx *_tracing_ctx;
private:
void handleDynamicInputTensor(ir::IOIndex input_index, const IODescription &desc);
};
} // namespace exec
} // namespace onert
#endif // __ONERT_EXEC_EXECUTOR_BASE_H__
|
