forked from onnx/onnx-tensorrt
-
Notifications
You must be signed in to change notification settings - Fork 0
/
onnx2trt_common.hpp
74 lines (62 loc) · 1.56 KB
/
onnx2trt_common.hpp
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
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include <NvInfer.h>
#include <memory>
#if NV_TENSORRT_MAJOR < 4
namespace nvinfer1
{
enum class PluginFormat : uint8_t
{
kNCHW = 0, //!< NCHW
kNC2HW2 = 1, //!< NCHW with 2-element packed channels
kNHWC8 = 2 //!< NHWC with 8-element packed channels (C
//! must be a multiple of 8)
};
// from NvInfer.h
class IPluginExt : public IPlugin
{
public:
virtual int getTensorRTVersion() const
{
return NV_TENSORRT_VERSION;
}
virtual bool supportsFormat(DataType type, PluginFormat format) const = 0;
virtual void configureWithFormat(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs,
DataType type, PluginFormat format, int maxBatchSize)
= 0;
protected:
void configure(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs, int maxBatchSize) final
{
DataType type = nvinfer1::DataType::kFLOAT;
PluginFormat format = nvinfer1::PluginFormat::kNCHW;
return this->configureWithFormat(inputDims, nbInputs, outputDims, nbOutputs, type, format, maxBatchSize);
}
virtual ~IPluginExt()
{
}
};
} // namespace nvinfer1
#endif
namespace onnx2trt
{
struct IOwnable
{
virtual void destroy() = 0;
protected:
virtual ~IOwnable()
{
}
};
struct OwnableDeleter
{
void operator()(IOwnable* obj) const
{
obj->destroy();
}
};
using UniqueOwnable = std::unique_ptr<IOwnable, OwnableDeleter>;
class Plugin;
class PluginV2;
} // namespace onnx2trt