summaryrefslogtreecommitdiff
path: root/runtimes/neurun/core/include/util/ShapeInference.h
blob: 54076199b4453b588375ef6e68df569d3b6262dc (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
/*
 * 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 __NEURUN_GRAPH_SHAPE_INFERENCE_H__
#define __NEURUN_GRAPH_SHAPE_INFERENCE_H__

#include "model/operation/AvgPool2DNode.h"
#include "model/operation/ConcatNode.h"
#include "model/operation/MaxPool2DNode.h"
#include "model/operation/Conv2DNode.h"
#include "model/operation/DepthwiseConv2DNode.h"
#include "model/Operands.h"
#include "model/Index.h"
#include "model/Layout.h"

namespace neurun
{
namespace shape_inference
{

using Shapes = std::vector<model::Shape>;

Shapes inferEltwiseShape(const model::Shape &lhs_shape, const model::Shape &rhs_shape);

Shapes inferAvgPoolShape(const model::Shape &in_shape,
                         const model::operation::AvgPool2DNode::Param &param,
                         model::Layout layout = model::Layout::NHWC);

Shapes inferConcatShape(const Shapes &in_shapes, const model::operation::ConcatNode::Param &param);

Shapes inferMaxPoolShape(const model::Shape &in_shape,
                         const model::operation::MaxPool2DNode::Param &param,
                         model::Layout layout = model::Layout::NHWC);

Shapes inferConv2DShape(const model::Shape &in_shape, const model::Shape &ker_shape,
                        const model::operation::Conv2DNode::Param &param,
                        model::Layout layout = model::Layout::NHWC);

Shapes inferDepthwiseConv2DShape(const model::Shape &in_shape, const model::Shape &ker_shape,
                                 const model::operation::DepthwiseConv2DNode::Param &param,
                                 model::Layout layout = model::Layout::NHWC);

Shapes inferFullyConnectedShape(const model::Shape &in_shape, const model::Shape &ker_shape);

} // namespace shape_inference
} // namespace neurun

#endif // __NEURUN_GRAPH_SHAPE_INFERENCE_H__