forked from NVIDIA/TensorRT
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathinstanceNormalizationPluginLegacy.h
194 lines (152 loc) · 7.42 KB
/
instanceNormalizationPluginLegacy.h
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
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* 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 TRT_INSTANCE_NORMALIZATION_PLUGIN_LEGACY_H
#define TRT_INSTANCE_NORMALIZATION_PLUGIN_LEGACY_H
#include "common/plugin.h"
#include "common/serialize.hpp"
#include "instanceNormalizationPlugin/instanceNormFwd.h"
#include <cuda_fp16.h>
#include <iostream>
#include <string>
#include <vector>
typedef uint16_t half_type;
namespace nvinfer1
{
namespace plugin
{
class InstanceNormalizationPlugin : public nvinfer1::IPluginV2DynamicExt
{
public:
InstanceNormalizationPlugin(float epsilon, nvinfer1::Weights const& scale, nvinfer1::Weights const& bias,
int32_t relu = 0, float alpha = 0.F);
InstanceNormalizationPlugin(float epsilon, std::vector<float> const& scale, std::vector<float> const& bias,
int32_t relu = 0, float alpha = 0.F);
InstanceNormalizationPlugin(void const* serialData, size_t serialLength);
InstanceNormalizationPlugin() = delete;
~InstanceNormalizationPlugin() override;
int32_t getNbOutputs() const noexcept override;
// DynamicExt plugins returns DimsExprs class instead of Dims
using nvinfer1::IPluginV2::getOutputDimensions;
DimsExprs getOutputDimensions(int32_t outputIndex, nvinfer1::DimsExprs const* inputs, int32_t nbInputs,
nvinfer1::IExprBuilder& exprBuilder) noexcept override;
int32_t initialize() noexcept override;
void terminate() noexcept override;
using nvinfer1::IPluginV2::getWorkspaceSize;
size_t getWorkspaceSize(nvinfer1::PluginTensorDesc const* inputs, int32_t nbInputs,
nvinfer1::PluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept override;
using nvinfer1::IPluginV2::enqueue;
int32_t enqueue(nvinfer1::PluginTensorDesc const* inputDesc, nvinfer1::PluginTensorDesc const* outputDesc,
void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept override;
size_t getSerializationSize() const noexcept override;
void serialize(void* buffer) const noexcept override;
// DynamicExt plugin supportsFormat update.
bool supportsFormatCombination(
int32_t pos, nvinfer1::PluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept override;
char const* getPluginType() const noexcept override;
char const* getPluginVersion() const noexcept override;
void destroy() noexcept override;
nvinfer1::IPluginV2DynamicExt* clone() const noexcept override;
void setPluginNamespace(char const* pluginNamespace) noexcept override;
char const* getPluginNamespace() const noexcept override;
DataType getOutputDataType(
int32_t index, nvinfer1::DataType const* inputTypes, int32_t nbInputs) const noexcept override;
void attachToContext(
cudnnContext* cudnn, cublasContext* cublas, nvinfer1::IGpuAllocator* allocator) noexcept override;
void detachFromContext() noexcept override;
using nvinfer1::IPluginV2Ext::configurePlugin;
void configurePlugin(nvinfer1::DynamicPluginTensorDesc const* in, int32_t nbInputs,
nvinfer1::DynamicPluginTensorDesc const* out, int32_t nbOutputs) noexcept override;
protected:
template <class PluginType>
nvinfer1::IPluginV2DynamicExt* cloneBase() const noexcept;
private:
float mEpsilon{};
float mAlpha{};
int32_t mRelu{};
int32_t mNchan{};
std::vector<float> mHostScale;
std::vector<float> mHostBias;
float* mDeviceScale{nullptr};
float* mDeviceBias{nullptr};
nvinfer1::pluginInternal::cudnnHandle_t mCudnnHandle{nullptr};
nvinfer1::pluginInternal::CudnnWrapper& mCudnnWrapper = nvinfer1::pluginInternal::getCudnnWrapper();
nvinfer1::pluginInternal::cudnnTensorDescriptor_t mXDescriptor{nullptr};
nvinfer1::pluginInternal::cudnnTensorDescriptor_t mYDescriptor{nullptr};
nvinfer1::pluginInternal::cudnnTensorDescriptor_t mBDescriptor{nullptr};
std::string mPluginNamespace;
std::string mNamespace;
bool mInitialized{false};
int32_t mCudaDriverVersion{-1};
// NDHWC implementation
instance_norm_impl::InstanceNormFwdContext mContext;
};
class InstanceNormalizationPluginCreator : public nvinfer1::pluginInternal::BaseCreator
{
public:
InstanceNormalizationPluginCreator();
~InstanceNormalizationPluginCreator() override = default;
char const* getPluginName() const noexcept override;
char const* getPluginVersion() const noexcept override;
PluginFieldCollection const* getFieldNames() noexcept override;
IPluginV2DynamicExt* createPlugin(char const* name, nvinfer1::PluginFieldCollection const* fc) noexcept override;
IPluginV2DynamicExt* deserializePlugin(
char const* name, void const* serialData, size_t serialLength) noexcept override;
protected:
template <class PluginType>
IPluginV2DynamicExt* createPluginBase(char const* name, nvinfer1::PluginFieldCollection const* fc) noexcept;
template <class PluginType>
IPluginV2DynamicExt* deserializePluginBase(char const* name, void const* serialData, size_t serialLength) noexcept;
private:
static PluginFieldCollection mFC;
static std::vector<PluginField> mPluginAttributes;
};
// For backward compatibility, create version "2" of the identical plugin.
// Background: in TRT 8.0, we added 3D InstanceNorm plugin as the version 2 of the "InstanceNormalization_TRT" plugin.
// However, in TRT 8.2, we have fused it into version 1, so a separate version 2 is no longer needed, but is only kept
// for backward compatibility.
class InstanceNormalizationPluginV2 final : public InstanceNormalizationPlugin
{
public:
InstanceNormalizationPluginV2(float epsilon, nvinfer1::Weights const& scale, nvinfer1::Weights const& bias,
int32_t relu = 0, float alpha = 0.F)
: InstanceNormalizationPlugin(epsilon, scale, bias, relu, alpha)
{
}
InstanceNormalizationPluginV2(float epsilon, std::vector<float> const& scale, std::vector<float> const& bias,
int32_t relu = 0, float alpha = 0.F)
: InstanceNormalizationPlugin(epsilon, scale, bias, relu, alpha)
{
}
InstanceNormalizationPluginV2(void const* serialData, size_t serialLength)
: InstanceNormalizationPlugin(serialData, serialLength)
{
}
InstanceNormalizationPluginV2() = delete;
char const* getPluginVersion() const noexcept override;
nvinfer1::IPluginV2DynamicExt* clone() const noexcept override;
};
class InstanceNormalizationPluginCreatorV2 final : public InstanceNormalizationPluginCreator
{
public:
char const* getPluginVersion() const noexcept override;
IPluginV2DynamicExt* createPlugin(char const* name, nvinfer1::PluginFieldCollection const* fc) noexcept override;
IPluginV2DynamicExt* deserializePlugin(
char const* name, void const* serialData, size_t serialLength) noexcept override;
};
} // namespace plugin
} // namespace nvinfer1
#endif // TRT_INSTANCE_NORMALIZATION_PLUGIN_LEGACY_H