TensorRT 10.14.1
NvInferRuntime.h
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1/*
2 * SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
3 * SPDX-License-Identifier: Apache-2.0
4 *
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18#ifndef NV_INFER_RUNTIME_H
19#define NV_INFER_RUNTIME_H
20
26
27#include "NvInferImpl.h" // IWYU pragma: export
28#define NV_INFER_INTERNAL_INCLUDE 1
29#include "NvInferPluginBase.h" // IWYU pragma: export
30#undef NV_INFER_INTERNAL_INCLUDE
31#include "NvInferRuntimeCommon.h" // IWYU pragma: export
32
33namespace nvinfer1
34{
35
36class IExecutionContext;
37class ICudaEngine;
38class IPluginFactory;
39class IEngineInspector;
40
49
51{
52protected:
53 INoCopy() = default;
54 virtual ~INoCopy() = default;
55 INoCopy(INoCopy const& other) = delete;
56 INoCopy& operator=(INoCopy const& other) = delete;
57 INoCopy(INoCopy&& other) = delete;
58 INoCopy& operator=(INoCopy&& other) = delete;
59};
60
75enum class EngineCapability : int32_t
76{
81 kSTANDARD = 0,
82
89 kSAFETY = 1,
90
97};
98
99namespace impl
100{
102template <>
104{
105 static constexpr int32_t kVALUE = 3;
106};
107} // namespace impl
108
124{
125public:
127 void const* values;
128 int64_t count;
129};
130
141class IHostMemory : public INoCopy
142{
143public:
144 virtual ~IHostMemory() noexcept = default;
145
147 void* data() const noexcept
148 {
149 return mImpl->data();
150 }
151
153 std::size_t size() const noexcept
154 {
155 return mImpl->size();
156 }
157
159 DataType type() const noexcept
160 {
161 return mImpl->type();
162 }
163
164protected:
165 apiv::VHostMemory* mImpl;
166};
167
178enum class DimensionOperation : int32_t
179{
180 kSUM = 0,
181 kPROD = 1,
182 kMAX = 2,
183 kMIN = 3,
184 kSUB = 4,
185 kEQUAL = 5,
186 kLESS = 6,
187 kFLOOR_DIV = 7,
188 kCEIL_DIV = 8
189};
190
192template <>
193constexpr inline int32_t EnumMax<DimensionOperation>() noexcept
194{
195 return 9;
196}
197
203enum class TensorLocation : int32_t
204{
205 kDEVICE = 0,
206 kHOST = 1,
207};
208
209namespace impl
210{
212template <>
214{
215 static constexpr int32_t kVALUE = 2;
216};
217} // namespace impl
218
232{
233public:
237 bool isConstant() const noexcept
238 {
239 return mImpl->isConstant();
240 }
241
248 int64_t getConstantValue() const noexcept
249 {
250 return mImpl->getConstantValue();
251 }
252
253protected:
254 apiv::VDimensionExpr* mImpl;
255 virtual ~IDimensionExpr() noexcept = default;
256
257public:
263 bool isSizeTensor() const noexcept
264 {
265 return mImpl->isSizeTensor();
266 }
267};
268
286class IExprBuilder : public INoCopy
287{
288public:
292 IDimensionExpr const* constant(int64_t value) noexcept
293 {
294 return mImpl->constant(value);
295 }
296
304 DimensionOperation op, IDimensionExpr const& first, IDimensionExpr const& second) noexcept
305 {
306 return mImpl->operation(op, first, second);
307 }
308
309protected:
310 apiv::VExprBuilder* mImpl;
311 virtual ~IExprBuilder() noexcept = default;
312
313public:
338 IDimensionExpr const* declareSizeTensor(int32_t outputIndex, IDimensionExpr const& opt, IDimensionExpr const& upper)
339 {
340 return mImpl->declareSizeTensor(outputIndex, opt, upper);
341 }
342};
343
350{
351public:
352 int32_t nbDims;
354};
355
362{
365
368
371
374};
375
407{
408public:
409 IPluginV2DynamicExt* clone() const noexcept override = 0;
410
435 virtual DimsExprs getOutputDimensions(
436 int32_t outputIndex, DimsExprs const* inputs, int32_t nbInputs, IExprBuilder& exprBuilder) noexcept = 0;
437
441 static constexpr int32_t kFORMAT_COMBINATION_LIMIT = 100;
442
475 virtual bool supportsFormatCombination(
476 int32_t pos, PluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept = 0;
477
515 virtual void configurePlugin(DynamicPluginTensorDesc const* in, int32_t nbInputs,
516 DynamicPluginTensorDesc const* out, int32_t nbOutputs) noexcept = 0;
517
527 virtual size_t getWorkspaceSize(PluginTensorDesc const* inputs, int32_t nbInputs, PluginTensorDesc const* outputs,
528 int32_t nbOutputs) const noexcept = 0;
529
542 virtual int32_t enqueue(PluginTensorDesc const* inputDesc, PluginTensorDesc const* outputDesc,
543 void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept = 0;
544
545protected:
553 int32_t getTensorRTVersion() const noexcept override
554 {
555 return (static_cast<int32_t>(PluginVersion::kV2_DYNAMICEXT) << 24 | (NV_TENSORRT_VERSION & 0xFFFFFF));
556 }
557
558 virtual ~IPluginV2DynamicExt() noexcept {}
559
560private:
561 // Following are obsolete base class methods, and must not be implemented or used.
562
566 void configurePlugin(Dims const*, int32_t, Dims const*, int32_t, DataType const*, DataType const*, bool const*,
567 bool const*, PluginFormat, int32_t) noexcept override final
568 {
569 }
570
574 bool supportsFormat(DataType, PluginFormat) const noexcept override final
575 {
576 return false;
577 }
578
582 Dims getOutputDimensions(int32_t, Dims const*, int32_t) noexcept override final
583 {
584 return Dims{-1, {}};
585 }
586
594 TRT_DEPRECATED bool isOutputBroadcastAcrossBatch(int32_t, bool const*, int32_t) const noexcept override final
595 {
596 return false;
597 }
598
606 TRT_DEPRECATED bool canBroadcastInputAcrossBatch(int32_t) const noexcept override final
607 {
608 return true;
609 }
610
614 size_t getWorkspaceSize(int32_t) const noexcept override final
615 {
616 return 0;
617 }
618
622 int32_t enqueue(int32_t, void const* const*, void* const*, void*, cudaStream_t) noexcept override final
623 {
624 return 1;
625 }
626};
627
628namespace v_1_0
629{
631{
632public:
637 ~IStreamReader() override = default;
638 IStreamReader() = default;
639
643 InterfaceInfo getInterfaceInfo() const noexcept override
644 {
645 return InterfaceInfo{"IStreamReader", 1, 0};
646 }
647
656 virtual int64_t read(void* destination, int64_t nbBytes) = 0;
657
658protected:
659 IStreamReader(IStreamReader const&) = default;
663};
664
666{
667public:
672 ~IStreamWriter() override = default;
673 IStreamWriter() = default;
674
678 InterfaceInfo getInterfaceInfo() const noexcept final
679 {
680 return InterfaceInfo{"IStreamWriter", 1, 0};
681 }
682
692 virtual int64_t write(void const* data, int64_t nbBytes) = 0;
693
694protected:
695 IStreamWriter(IStreamWriter const&) = default;
699};
700} // namespace v_1_0
701
711
721
726enum class SeekPosition : int32_t
727{
729 kSET = 0,
730
732 kCUR = 1,
733
735 kEND = 2,
736};
737
738namespace v_1_0
739{
741{
742public:
747 ~IStreamReaderV2() override = default;
748 IStreamReaderV2() = default;
749
753 InterfaceInfo getInterfaceInfo() const noexcept override
754 {
755 return InterfaceInfo{"IStreamReaderV2", 1, 0};
756 }
757
768 virtual int64_t read(void* destination, int64_t nbBytes, cudaStream_t stream) noexcept = 0;
769
778 virtual bool seek(int64_t offset, SeekPosition where) noexcept = 0;
779
780protected:
785};
786} // namespace v_1_0
787
798
813{
814public:
819 virtual IGpuAllocator* getGpuAllocator() const noexcept = 0;
820
825 virtual IErrorRecorder* getErrorRecorder() const noexcept = 0;
826 virtual ~IPluginResourceContext() noexcept = default;
827
828protected:
832 IPluginResourceContext& operator=(IPluginResourceContext const&) & = default;
834};
835
836namespace v_1_0
837{
839{
840public:
844 InterfaceInfo getInterfaceInfo() const noexcept override
845 {
846 return InterfaceInfo{"PLUGIN_V3ONE_CORE", 1, 0};
847 }
848
857 virtual AsciiChar const* getPluginName() const noexcept = 0;
858
867 virtual AsciiChar const* getPluginVersion() const noexcept = 0;
868
878 virtual AsciiChar const* getPluginNamespace() const noexcept = 0;
879};
880
882{
883public:
889 static constexpr int32_t kDEFAULT_FORMAT_COMBINATION_LIMIT = 100;
890
894 InterfaceInfo getInterfaceInfo() const noexcept override
895 {
896 return InterfaceInfo{"PLUGIN_V3ONE_BUILD", 1, 0};
897 }
898
918 virtual int32_t configurePlugin(DynamicPluginTensorDesc const* in, int32_t nbInputs,
919 DynamicPluginTensorDesc const* out, int32_t nbOutputs) noexcept = 0;
920
937 virtual int32_t getOutputDataTypes(
938 DataType* outputTypes, int32_t nbOutputs, const DataType* inputTypes, int32_t nbInputs) const noexcept = 0;
939
961 virtual int32_t getOutputShapes(DimsExprs const* inputs, int32_t nbInputs, DimsExprs const* shapeInputs,
962 int32_t nbShapeInputs, DimsExprs* outputs, int32_t nbOutputs, IExprBuilder& exprBuilder) noexcept = 0;
963
999 int32_t pos, DynamicPluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept = 0;
1000
1006 virtual int32_t getNbOutputs() const noexcept = 0;
1007
1017 virtual size_t getWorkspaceSize(DynamicPluginTensorDesc const* inputs, int32_t nbInputs,
1018 DynamicPluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept
1019 {
1020 return 0;
1021 }
1022
1054 virtual int32_t getValidTactics(int32_t* tactics, int32_t nbTactics) noexcept
1055 {
1056 return 0;
1057 }
1058
1062 virtual int32_t getNbTactics() noexcept
1063 {
1064 return 0;
1065 }
1066
1078 virtual char const* getTimingCacheID() noexcept
1079 {
1080 return nullptr;
1081 }
1082
1086 virtual int32_t getFormatCombinationLimit() noexcept
1087 {
1088 return kDEFAULT_FORMAT_COMBINATION_LIMIT;
1089 }
1090
1097 virtual char const* getMetadataString() noexcept
1098 {
1099 return nullptr;
1100 }
1101};
1102
1104{
1105public:
1109 InterfaceInfo getInterfaceInfo() const noexcept override
1110 {
1111 return InterfaceInfo{"PLUGIN_V3ONE_RUNTIME", 1, 0};
1112 }
1113
1121 virtual int32_t setTactic(int32_t tactic) noexcept
1122 {
1123 return 0;
1124 }
1125
1144 virtual int32_t onShapeChange(
1145 PluginTensorDesc const* in, int32_t nbInputs, PluginTensorDesc const* out, int32_t nbOutputs) noexcept = 0;
1146
1160 virtual int32_t enqueue(PluginTensorDesc const* inputDesc, PluginTensorDesc const* outputDesc,
1161 void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept = 0;
1162
1182 virtual IPluginV3* attachToContext(IPluginResourceContext* context) noexcept = 0;
1183
1189
1193 virtual PluginFieldCollection const* getFieldsToSerialize() noexcept = 0;
1194};
1195} // namespace v_1_0
1196
1197namespace v_2_0
1198{
1199
1201{
1202public:
1203 InterfaceInfo getInterfaceInfo() const noexcept override
1204 {
1205 return InterfaceInfo{"PLUGIN_V3ONE_BUILD", 2, 0};
1206 }
1207
1237 virtual int32_t getAliasedInput(int32_t outputIndex) noexcept
1238 {
1239 return -1;
1240 }
1241};
1242
1243} // namespace v_2_0
1244
1255
1267
1279
1288
1289namespace v_1_0
1290{
1292{
1293public:
1301 virtual void reportLayerTime(char const* layerName, float ms) noexcept = 0;
1302
1303 virtual ~IProfiler() noexcept {}
1304};
1305} // namespace v_1_0
1306
1319
1327enum class WeightsRole : int32_t
1328{
1329 kKERNEL = 0,
1330 kBIAS = 1,
1331 kSHIFT = 2,
1332 kSCALE = 3,
1333 kCONSTANT = 4,
1334 kANY = 5,
1335};
1336
1338template <>
1339constexpr inline int32_t EnumMax<WeightsRole>() noexcept
1340{
1341 return 6;
1342}
1343
1349enum class DeviceType : int32_t
1350{
1351 kGPU = 0,
1352 kDLA = 1,
1353};
1354
1356template <>
1357constexpr inline int32_t EnumMax<DeviceType>() noexcept
1358{
1359 return 2;
1360}
1361
1372enum class TempfileControlFlag : int32_t
1373{
1376
1381};
1382
1384template <>
1385constexpr inline int32_t EnumMax<TempfileControlFlag>() noexcept
1386{
1387 return 2;
1388}
1389
1396using TempfileControlFlags = uint32_t;
1397
1429enum class TensorFormat : int32_t
1430{
1437 kLINEAR = 0,
1438
1443 kCHW2 = 1,
1444
1448 kHWC8 = 2,
1449
1463 kCHW4 = 3,
1464
1471 kCHW16 = 4,
1472
1480 kCHW32 = 5,
1481
1486 kDHWC8 = 6,
1487
1492 kCDHW32 = 7,
1493
1497 kHWC = 8,
1498
1507 kDLA_LINEAR = 9,
1508
1522 kDLA_HWC4 = 10,
1523
1528 kHWC16 = 11,
1529
1534 kDHWC = 12
1535};
1536
1537namespace impl
1538{
1540template <>
1542{
1544 static constexpr int32_t kVALUE = 13;
1545};
1546} // namespace impl
1547
1553enum class AllocatorFlag : int32_t
1554{
1556 kRESIZABLE = 0,
1557};
1558
1559namespace impl
1560{
1562template <>
1564{
1566 static constexpr int32_t kVALUE = 1;
1567};
1568} // namespace impl
1569
1570using AllocatorFlags = uint32_t;
1571
1574
1588{
1589public:
1595 enum class Severity : int32_t
1596 {
1598 kINTERNAL_ERROR = 0,
1600 kERROR = 1,
1602 kWARNING = 2,
1604 kINFO = 3,
1606 kVERBOSE = 4,
1607 };
1608
1627 virtual void log(Severity severity, AsciiChar const* msg) noexcept = 0;
1628
1629 ILogger() = default;
1630 virtual ~ILogger() = default;
1631
1632protected:
1633 // @cond SuppressDoxyWarnings
1634 ILogger(ILogger const&) = default;
1635 ILogger(ILogger&&) = default;
1636 ILogger& operator=(ILogger const&) & = default;
1637 ILogger& operator=(ILogger&&) & = default;
1638 // @endcond
1639};
1640
1641namespace impl
1642{
1644template <>
1645struct EnumMaxImpl<ILogger::Severity>
1646{
1648 static constexpr int32_t kVALUE = 5;
1649};
1650} // namespace impl
1651
1652namespace v_1_0
1653{
1654
1656{
1657public:
1683 uint64_t const size, uint64_t const alignment, AllocatorFlags const flags) noexcept = 0;
1684
1685 ~IGpuAllocator() override = default;
1686 IGpuAllocator() = default;
1687
1725 virtual void* reallocate(void* const /*baseAddr*/, uint64_t /*alignment*/, uint64_t /*newSize*/) noexcept
1726 {
1727 return nullptr;
1728 }
1729
1748 TRT_DEPRECATED virtual bool deallocate(void* const memory) noexcept = 0;
1749
1778 virtual void* allocateAsync(
1779 uint64_t const size, uint64_t const alignment, AllocatorFlags const flags, cudaStream_t /*stream*/) noexcept
1780 {
1781 return allocate(size, alignment, flags);
1782 }
1811 virtual bool deallocateAsync(void* const memory, cudaStream_t /*stream*/) noexcept
1812 {
1813 return deallocate(memory);
1814 }
1815
1819 InterfaceInfo getInterfaceInfo() const noexcept override
1820 {
1821 return {"IGpuAllocator", 1, 0};
1822 }
1823
1824protected:
1825 // @cond SuppressDoxyWarnings
1826 IGpuAllocator(IGpuAllocator const&) = default;
1827 IGpuAllocator(IGpuAllocator&&) = default;
1828 IGpuAllocator& operator=(IGpuAllocator const&) & = default;
1829 IGpuAllocator& operator=(IGpuAllocator&&) & = default;
1830 // @endcond
1831};
1832
1833} // namespace v_1_0
1834
1856
1857
1865class IRuntime : public INoCopy
1866{
1867public:
1868 virtual ~IRuntime() noexcept = default;
1869
1881 void setDLACore(int32_t dlaCore) noexcept
1882 {
1883 mImpl->setDLACore(dlaCore);
1884 }
1885
1891 int32_t getDLACore() const noexcept
1892 {
1893 return mImpl->getDLACore();
1894 }
1895
1899 int32_t getNbDLACores() const noexcept
1900 {
1901 return mImpl->getNbDLACores();
1902 }
1903
1915 void setGpuAllocator(IGpuAllocator* allocator) noexcept
1916 {
1917 mImpl->setGpuAllocator(allocator);
1918 }
1919
1931 //
1934 void setErrorRecorder(IErrorRecorder* recorder) noexcept
1935 {
1936 mImpl->setErrorRecorder(recorder);
1937 }
1938
1950 {
1951 return mImpl->getErrorRecorder();
1952 }
1953
1967 ICudaEngine* deserializeCudaEngine(void const* blob, std::size_t size) noexcept
1968 {
1969 return mImpl->deserializeCudaEngine(blob, size);
1970 }
1971
1992 {
1993 return mImpl->deserializeCudaEngine(streamReader);
1994 }
1995
2015 {
2016 return mImpl->deserializeCudaEngineV2(streamReader);
2017 }
2018
2024 ILogger* getLogger() const noexcept
2025 {
2026 return mImpl->getLogger();
2027 }
2028
2039 bool setMaxThreads(int32_t maxThreads) noexcept
2040 {
2041 return mImpl->setMaxThreads(maxThreads);
2042 }
2043
2053 int32_t getMaxThreads() const noexcept
2054 {
2055 return mImpl->getMaxThreads();
2056 }
2057
2088 void setTemporaryDirectory(char const* path) noexcept
2089 {
2090 return mImpl->setTemporaryDirectory(path);
2091 }
2092
2099 char const* getTemporaryDirectory() const noexcept
2100 {
2101 return mImpl->getTemporaryDirectory();
2102 }
2103
2116 {
2117 return mImpl->setTempfileControlFlags(flags);
2118 }
2119
2128 {
2129 return mImpl->getTempfileControlFlags();
2130 }
2131
2138 {
2139 return mImpl->getPluginRegistry();
2140 }
2141
2155 IRuntime* loadRuntime(char const* path) noexcept
2156 {
2157 return mImpl->loadRuntime(path);
2158 }
2159
2167 void setEngineHostCodeAllowed(bool allowed) noexcept
2168 {
2169 return mImpl->setEngineHostCodeAllowed(allowed);
2170 }
2171
2177 bool getEngineHostCodeAllowed() const noexcept
2178 {
2179 return mImpl->getEngineHostCodeAllowed();
2180 }
2181
2182
2183protected:
2184 apiv::VRuntime* mImpl;
2185};
2186
2194class IRefitter : public INoCopy
2195{
2196public:
2197 virtual ~IRefitter() noexcept = default;
2198
2214 bool setWeights(char const* layerName, WeightsRole role, Weights weights) noexcept
2215 {
2216 return mImpl->setWeights(layerName, role, weights);
2217 }
2218
2231 bool refitCudaEngine() noexcept
2232 {
2233 return mImpl->refitCudaEngine();
2234 }
2235
2252 int32_t getMissing(int32_t size, char const** layerNames, WeightsRole* roles) noexcept
2253 {
2254 return mImpl->getMissing(size, layerNames, roles);
2255 }
2256
2269 int32_t getAll(int32_t size, char const** layerNames, WeightsRole* roles) noexcept
2270 {
2271 return mImpl->getAll(size, layerNames, roles);
2272 }
2273
2291 TRT_DEPRECATED bool setDynamicRange(char const* tensorName, float min, float max) noexcept
2292 {
2293 return mImpl->setDynamicRange(tensorName, min, max);
2294 }
2295
2307 TRT_DEPRECATED float getDynamicRangeMin(char const* tensorName) const noexcept
2308 {
2309 return mImpl->getDynamicRangeMin(tensorName);
2310 }
2311
2323 TRT_DEPRECATED float getDynamicRangeMax(char const* tensorName) const noexcept
2324 {
2325 return mImpl->getDynamicRangeMax(tensorName);
2326 }
2327
2341 TRT_DEPRECATED int32_t getTensorsWithDynamicRange(int32_t size, char const** tensorNames) const noexcept
2342 {
2343 return mImpl->getTensorsWithDynamicRange(size, tensorNames);
2344 }
2345
2357 //
2360 void setErrorRecorder(IErrorRecorder* recorder) noexcept
2361 {
2362 mImpl->setErrorRecorder(recorder);
2363 }
2364
2376 {
2377 return mImpl->getErrorRecorder();
2378 }
2379
2400 bool setNamedWeights(char const* name, Weights weights) noexcept
2401 {
2402 return mImpl->setNamedWeights(name, weights);
2403 }
2404
2420 int32_t getMissingWeights(int32_t size, char const** weightsNames) noexcept
2421 {
2422 return mImpl->getMissingWeights(size, weightsNames);
2423 }
2424
2436 int32_t getAllWeights(int32_t size, char const** weightsNames) noexcept
2437 {
2438 return mImpl->getAllWeights(size, weightsNames);
2439 }
2440
2446 ILogger* getLogger() const noexcept
2447 {
2448 return mImpl->getLogger();
2449 }
2450
2462 bool setMaxThreads(int32_t maxThreads) noexcept
2463 {
2464 return mImpl->setMaxThreads(maxThreads);
2465 }
2466
2476 int32_t getMaxThreads() const noexcept
2477 {
2478 return mImpl->getMaxThreads();
2479 }
2480
2503 bool setNamedWeights(char const* name, Weights weights, TensorLocation location) noexcept
2504 {
2505 return mImpl->setNamedWeightsWithLocation(name, weights, location);
2506 }
2507
2519 Weights getNamedWeights(char const* weightsName) const noexcept
2520 {
2521 return mImpl->getNamedWeights(weightsName);
2522 }
2523
2535 TensorLocation getWeightsLocation(char const* weightsName) const noexcept
2536 {
2537 return mImpl->getWeightsLocation(weightsName);
2538 }
2539
2551 bool unsetNamedWeights(char const* weightsName) noexcept
2552 {
2553 return mImpl->unsetNamedWeights(weightsName);
2554 }
2555
2567 void setWeightsValidation(bool weightsValidation) noexcept
2568 {
2569 return mImpl->setWeightsValidation(weightsValidation);
2570 }
2571
2575 bool getWeightsValidation() const noexcept
2576 {
2577 return mImpl->getWeightsValidation();
2578 }
2579
2597 bool refitCudaEngineAsync(cudaStream_t stream) noexcept
2598 {
2599 return mImpl->refitCudaEngineAsync(stream);
2600 }
2601
2615 Weights getWeightsPrototype(char const* weightsName) const noexcept
2616 {
2617 return mImpl->getWeightsPrototype(weightsName);
2618 }
2619
2620protected:
2621 apiv::VRefitter* mImpl;
2622};
2623
2634enum class OptProfileSelector : int32_t
2635{
2636 kMIN = 0,
2637 kOPT = 1,
2638 kMAX = 2
2639};
2640
2646template <>
2647constexpr inline int32_t EnumMax<OptProfileSelector>() noexcept
2648{
2649 return 3;
2650}
2651
2675{
2676public:
2704 bool setDimensions(char const* inputName, OptProfileSelector select, Dims const& dims) noexcept
2705 {
2706 return mImpl->setDimensions(inputName, select, dims);
2707 }
2708
2716 Dims getDimensions(char const* inputName, OptProfileSelector select) const noexcept
2717 {
2718 return mImpl->getDimensions(inputName, select);
2719 }
2720
2769 char const* inputName, OptProfileSelector select, int32_t const* values, int32_t nbValues) noexcept
2770 {
2771 return mImpl->setShapeValues(inputName, select, values, nbValues);
2772 }
2773
2782 int32_t getNbShapeValues(char const* inputName) const noexcept
2783 {
2784 return mImpl->getNbShapeValues(inputName);
2785 }
2786
2796 TRT_DEPRECATED int32_t const* getShapeValues(char const* inputName, OptProfileSelector select) const noexcept
2797 {
2798 return mImpl->getShapeValues(inputName, select);
2799 }
2800
2814 bool setExtraMemoryTarget(float target) noexcept
2815 {
2816 return mImpl->setExtraMemoryTarget(target);
2817 }
2818
2826 float getExtraMemoryTarget() const noexcept
2827 {
2828 return mImpl->getExtraMemoryTarget();
2829 }
2830
2843 bool isValid() const noexcept
2844 {
2845 return mImpl->isValid();
2846 }
2847
2894 char const* inputName, OptProfileSelector select, int64_t const* values, int32_t nbValues) noexcept
2895 {
2896 return mImpl->setShapeValuesV2(inputName, select, values, nbValues);
2897 }
2898
2906 int64_t const* getShapeValuesV2(char const* inputName, OptProfileSelector select) const noexcept
2907 {
2908 return mImpl->getShapeValuesV2(inputName, select);
2909 }
2910
2911protected:
2912 apiv::VOptimizationProfile* mImpl;
2913 virtual ~IOptimizationProfile() noexcept = default;
2914};
2915
2923enum class TacticSource : int32_t
2924{
2929
2933
2938
2943
2947};
2948
2949template <>
2950constexpr inline int32_t EnumMax<TacticSource>() noexcept
2951{
2952 return 5;
2953}
2954
2961using TacticSources = uint32_t;
2962
2972enum class ProfilingVerbosity : int32_t
2973{
2974 kLAYER_NAMES_ONLY = 0,
2975 kNONE = 1,
2976 kDETAILED = 2,
2977};
2978
2980template <>
2981constexpr inline int32_t EnumMax<ProfilingVerbosity>() noexcept
2982{
2983 return 3;
2984}
2985
2992using SerializationFlags = uint32_t;
2993
3001enum class SerializationFlag : int32_t
3002{
3003 kEXCLUDE_WEIGHTS = 0,
3005 kINCLUDE_REFIT = 2,
3006};
3007
3009template <>
3010constexpr inline int32_t EnumMax<SerializationFlag>() noexcept
3011{
3012 return 3;
3013}
3014
3023{
3024public:
3025 virtual ~ISerializationConfig() noexcept = default;
3026
3038 bool setFlags(SerializationFlags serializationFlags) noexcept
3039 {
3040 return mImpl->setFlags(serializationFlags);
3041 }
3042
3051 {
3052 return mImpl->getFlags();
3053 }
3054
3062 bool clearFlag(SerializationFlag serializationFlag) noexcept
3063 {
3064 return mImpl->clearFlag(serializationFlag);
3065 }
3066
3074 bool setFlag(SerializationFlag serializationFlag) noexcept
3075 {
3076 return mImpl->setFlag(serializationFlag);
3077 }
3078
3086 bool getFlag(SerializationFlag serializationFlag) const noexcept
3087 {
3088 return mImpl->getFlag(serializationFlag);
3089 }
3090
3091protected:
3092 apiv::VSerializationConfig* mImpl;
3093};
3094
3107{
3108 kSTATIC = 0,
3109 kON_PROFILE_CHANGE = 1,
3110 kUSER_MANAGED = 2,
3111};
3112
3118template <>
3119constexpr inline int32_t EnumMax<ExecutionContextAllocationStrategy>() noexcept
3120{
3121 return 3;
3122}
3123
3124
3132{
3133public:
3134 virtual ~IRuntimeConfig() noexcept = default;
3135
3141 void setExecutionContextAllocationStrategy(ExecutionContextAllocationStrategy strategy) noexcept
3142 {
3143 return mImpl->setExecutionContextAllocationStrategy(strategy);
3144 }
3145
3152 {
3153 return mImpl->getExecutionContextAllocationStrategy();
3154 }
3155
3156
3157protected:
3158 apiv::VRuntimeConfig* mImpl;
3159}; // class IRuntimeConfig
3160
3169enum class EngineStat : int32_t
3170{
3173
3176};
3177
3183template <>
3184constexpr inline int32_t EnumMax<EngineStat>() noexcept
3185{
3186 return 2;
3187}
3188
3196class ICudaEngine : public INoCopy
3197{
3198public:
3199 virtual ~ICudaEngine() noexcept = default;
3200
3211 Dims getTensorShape(char const* tensorName) const noexcept
3212 {
3213 return mImpl->getTensorShape(tensorName);
3214 }
3215
3226 DataType getTensorDataType(char const* tensorName) const noexcept
3227 {
3228 return mImpl->getTensorDataType(tensorName);
3229 }
3230
3240 int32_t getNbLayers() const noexcept
3241 {
3242 return mImpl->getNbLayers();
3243 }
3244
3254 IHostMemory* serialize() const noexcept
3255 {
3256 return mImpl->serialize();
3257 }
3258
3273 {
3274 return mImpl->createExecutionContext(strategy);
3275 }
3276
3289 TensorLocation getTensorLocation(char const* tensorName) const noexcept
3290 {
3291 return mImpl->getTensorLocation(tensorName);
3292 }
3293
3309 bool isShapeInferenceIO(char const* tensorName) const noexcept
3310 {
3311 return mImpl->isShapeInferenceIO(tensorName);
3312 }
3313
3323 TensorIOMode getTensorIOMode(char const* tensorName) const noexcept
3324 {
3325 return mImpl->getTensorIOMode(tensorName);
3326 }
3327
3336 {
3337 return mImpl->createExecutionContextWithoutDeviceMemory();
3338 }
3339
3348 {
3349 return mImpl->createExecutionContextWithRuntimeConfig(runtimeConfig);
3350 }
3351
3361 {
3362 return mImpl->createRuntimeConfig();
3363 }
3364
3372 TRT_DEPRECATED size_t getDeviceMemorySize() const noexcept
3373 {
3374 return mImpl->getDeviceMemorySize();
3375 }
3376
3384 TRT_DEPRECATED size_t getDeviceMemorySizeForProfile(int32_t profileIndex) const noexcept
3385 {
3386 return mImpl->getDeviceMemorySizeForProfile(profileIndex);
3387 }
3388
3400 int64_t getDeviceMemorySizeV2() const noexcept
3401 {
3402 return mImpl->getDeviceMemorySizeV2();
3403 }
3404
3416 int64_t getDeviceMemorySizeForProfileV2(int32_t profileIndex) const noexcept
3417 {
3418 return mImpl->getDeviceMemorySizeForProfileV2(profileIndex);
3419 }
3420
3426 bool isRefittable() const noexcept
3427 {
3428 return mImpl->isRefittable();
3429 }
3430
3447 int32_t getTensorBytesPerComponent(char const* tensorName) const noexcept
3448 {
3449 return mImpl->getTensorBytesPerComponent(tensorName);
3450 }
3451
3465 int32_t getTensorBytesPerComponent(char const* tensorName, int32_t profileIndex) const noexcept
3466 {
3467 return mImpl->getTensorBytesPerComponentV2(tensorName, profileIndex);
3468 }
3469
3486 int32_t getTensorComponentsPerElement(char const* tensorName) const noexcept
3487 {
3488 return mImpl->getTensorComponentsPerElement(tensorName);
3489 }
3490
3504 int32_t getTensorComponentsPerElement(char const* tensorName, int32_t profileIndex) const noexcept
3505 {
3506 return mImpl->getTensorComponentsPerElementV2(tensorName, profileIndex);
3507 }
3508
3519 TensorFormat getTensorFormat(char const* tensorName) const noexcept
3520 {
3521 return mImpl->getTensorFormat(tensorName);
3522 }
3523
3533 TensorFormat getTensorFormat(char const* tensorName, int32_t profileIndex) const noexcept
3534 {
3535 return mImpl->getTensorFormatV2(tensorName, profileIndex);
3536 }
3537
3557 char const* getTensorFormatDesc(char const* tensorName) const noexcept
3558 {
3559 return mImpl->getTensorFormatDesc(tensorName);
3560 }
3561
3580 char const* getTensorFormatDesc(char const* tensorName, int32_t profileIndex) const noexcept
3581 {
3582 return mImpl->getTensorFormatDescV2(tensorName, profileIndex);
3583 }
3584
3597 int32_t getTensorVectorizedDim(char const* tensorName) const noexcept
3598 {
3599 return mImpl->getTensorVectorizedDim(tensorName);
3600 }
3601
3613 int32_t getTensorVectorizedDim(char const* tensorName, int32_t profileIndex) const noexcept
3614 {
3615 return mImpl->getTensorVectorizedDimV2(tensorName, profileIndex);
3616 }
3617
3628 char const* getName() const noexcept
3629 {
3630 return mImpl->getName();
3631 }
3632
3639 int32_t getNbOptimizationProfiles() const noexcept
3640 {
3641 return mImpl->getNbOptimizationProfiles();
3642 }
3643
3659 Dims getProfileShape(char const* tensorName, int32_t profileIndex, OptProfileSelector select) const noexcept
3660 {
3661 return mImpl->getProfileShape(tensorName, profileIndex, select);
3662 }
3663
3685 char const* tensorName, int32_t profileIndex, OptProfileSelector select) const noexcept
3686 {
3687 return mImpl->getProfileTensorValues(tensorName, profileIndex, select);
3688 }
3689
3701 {
3702 return mImpl->getEngineCapability();
3703 }
3704
3719 void setErrorRecorder(IErrorRecorder* recorder) noexcept
3720 {
3721 return mImpl->setErrorRecorder(recorder);
3722 }
3723
3735 {
3736 return mImpl->getErrorRecorder();
3737 }
3738
3749 {
3750 return mImpl->hasImplicitBatchDimension();
3751 }
3752
3765 {
3766 return mImpl->getTacticSources();
3767 }
3768
3777 {
3778 return mImpl->getProfilingVerbosity();
3779 }
3780
3787 {
3788 return mImpl->createEngineInspector();
3789 }
3790
3799 int32_t getNbIOTensors() const noexcept
3800 {
3801 return mImpl->getNbIOTensors();
3802 }
3803
3811 char const* getIOTensorName(int32_t index) const noexcept
3812 {
3813 return mImpl->getIOTensorName(index);
3814 }
3815
3823 {
3824 return mImpl->getHardwareCompatibilityLevel();
3825 }
3826
3837 int32_t getNbAuxStreams() const noexcept
3838 {
3839 return mImpl->getNbAuxStreams();
3840 }
3841
3848 {
3849 return mImpl->createSerializationConfig();
3850 }
3851
3868 {
3869 return mImpl->serializeWithConfig(config);
3870 }
3871
3912 TRT_DEPRECATED bool setWeightStreamingBudget(int64_t gpuMemoryBudget) noexcept
3913 {
3914 return mImpl->setWeightStreamingBudget(gpuMemoryBudget);
3915 }
3916
3933 {
3934 return mImpl->getWeightStreamingBudget();
3935 }
3936
3956 {
3957 return mImpl->getMinimumWeightStreamingBudget();
3958 }
3959
3971 int64_t getStreamableWeightsSize() const noexcept
3972 {
3973 return mImpl->getStreamableWeightsSize();
3974 }
3975
4013 bool setWeightStreamingBudgetV2(int64_t gpuMemoryBudget) noexcept
4014 {
4015 return mImpl->setWeightStreamingBudgetV2(gpuMemoryBudget);
4016 }
4017
4031 int64_t getWeightStreamingBudgetV2() const noexcept
4032 {
4033 return mImpl->getWeightStreamingBudgetV2();
4034 }
4035
4056 int64_t getWeightStreamingAutomaticBudget() const noexcept
4057 {
4058 return mImpl->getWeightStreamingAutomaticBudget();
4059 }
4060
4085 {
4086 return mImpl->getWeightStreamingScratchMemorySize();
4087 }
4088
4098 bool isDebugTensor(char const* name) const noexcept
4099 {
4100 return mImpl->isDebugTensor(name);
4101 }
4102
4123 char const* tensorName, int32_t profileIndex, OptProfileSelector select) const noexcept
4124 {
4125 return mImpl->getProfileTensorValuesV2(tensorName, profileIndex, select);
4126 }
4127
4151 int64_t getEngineStat(EngineStat stat) const noexcept
4152 {
4153 return mImpl->getEngineStat(stat);
4154 }
4155
4156protected:
4157 apiv::VCudaEngine* mImpl;
4158};
4159
4160namespace v_1_0
4161{
4163{
4164public:
4168 InterfaceInfo getInterfaceInfo() const noexcept override
4169 {
4170 return {"IOutputAllocator", 1, 0};
4171 }
4172
4193 char const* tensorName, void* currentMemory, uint64_t size, uint64_t alignment) noexcept
4194 {
4195 return nullptr;
4196 }
4197
4221 char const* tensorName, void* currentMemory, uint64_t size, uint64_t alignment, cudaStream_t /*stream*/)
4222 {
4223 return reallocateOutput(tensorName, currentMemory, size, alignment);
4224 }
4225
4234 virtual void notifyShape(char const* tensorName, Dims const& dims) noexcept = 0;
4235};
4236} // namespace v_1_0
4237
4246
4247namespace v_1_0
4248{
4250{
4251public:
4255 InterfaceInfo getInterfaceInfo() const noexcept override
4256 {
4257 return {"IDebugListener", 1, 0};
4258 }
4259
4273 virtual bool processDebugTensor(void const* addr, TensorLocation location, DataType type, Dims const& shape,
4274 char const* name, cudaStream_t stream)
4275 = 0;
4276
4277 ~IDebugListener() override = default;
4278};
4279} // namespace v_1_0
4280
4287
4299{
4300public:
4301 virtual ~IExecutionContext() noexcept = default;
4302
4311 void setDebugSync(bool sync) noexcept
4312 {
4313 mImpl->setDebugSync(sync);
4314 }
4315
4321 bool getDebugSync() const noexcept
4322 {
4323 return mImpl->getDebugSync();
4324 }
4325
4331 void setProfiler(IProfiler* profiler) noexcept
4332 {
4333 mImpl->setProfiler(profiler);
4334 }
4335
4341 IProfiler* getProfiler() const noexcept
4342 {
4343 return mImpl->getProfiler();
4344 }
4345
4351 ICudaEngine const& getEngine() const noexcept
4352 {
4353 return mImpl->getEngine();
4354 }
4355
4365 void setName(char const* name) noexcept
4366 {
4367 mImpl->setName(name);
4368 }
4369
4375 char const* getName() const noexcept
4376 {
4377 return mImpl->getName();
4378 }
4379
4402 void setDeviceMemory(void* memory) noexcept
4403 {
4404 mImpl->setDeviceMemory(memory);
4405 }
4406
4424 void setDeviceMemoryV2(void* memory, int64_t size) noexcept
4425 {
4426 return mImpl->setDeviceMemoryV2(memory, size);
4427 }
4428
4445 Dims getTensorStrides(char const* tensorName) const noexcept
4446 {
4447 return mImpl->getTensorStrides(tensorName);
4448 }
4449
4450public:
4460 int32_t getOptimizationProfile() const noexcept
4461 {
4462 return mImpl->getOptimizationProfile();
4463 }
4464
4478 bool setInputShape(char const* tensorName, Dims const& dims) noexcept
4479 {
4480 return mImpl->setInputShape(tensorName, dims);
4481 }
4482
4515 Dims getTensorShape(char const* tensorName) const noexcept
4516 {
4517 return mImpl->getTensorShape(tensorName);
4518 }
4519
4531 bool allInputDimensionsSpecified() const noexcept
4532 {
4533 return mImpl->allInputDimensionsSpecified();
4534 }
4535
4549 {
4550 return mImpl->allInputShapesSpecified();
4551 }
4552
4567 void setErrorRecorder(IErrorRecorder* recorder) noexcept
4568 {
4569 mImpl->setErrorRecorder(recorder);
4570 }
4571
4583 {
4584 return mImpl->getErrorRecorder();
4585 }
4586
4599 bool executeV2(void* const* bindings) noexcept
4600 {
4601 return mImpl->executeV2(bindings);
4602 }
4603
4643 bool setOptimizationProfileAsync(int32_t profileIndex, cudaStream_t stream) noexcept
4644 {
4645 return mImpl->setOptimizationProfileAsync(profileIndex, stream);
4646 }
4647
4659 void setEnqueueEmitsProfile(bool enqueueEmitsProfile) noexcept
4660 {
4661 mImpl->setEnqueueEmitsProfile(enqueueEmitsProfile);
4662 }
4663
4671 bool getEnqueueEmitsProfile() const noexcept
4672 {
4673 return mImpl->getEnqueueEmitsProfile();
4674 }
4675
4701 bool reportToProfiler() const noexcept
4702 {
4703 return mImpl->reportToProfiler();
4704 }
4705
4745 bool setTensorAddress(char const* tensorName, void* data) noexcept
4746 {
4747 return mImpl->setTensorAddress(tensorName, data);
4748 }
4749
4762 void const* getTensorAddress(char const* tensorName) const noexcept
4763 {
4764 return mImpl->getTensorAddress(tensorName);
4765 }
4766
4785 bool setOutputTensorAddress(char const* tensorName, void* data) noexcept
4786 {
4787 return mImpl->setOutputTensorAddress(tensorName, data);
4788 }
4789
4807 bool setInputTensorAddress(char const* tensorName, void const* data) noexcept
4808 {
4809 return mImpl->setInputTensorAddress(tensorName, data);
4810 }
4811
4826 void* getOutputTensorAddress(char const* tensorName) const noexcept
4827 {
4828 return mImpl->getOutputTensorAddress(tensorName);
4829 }
4830
4859 int32_t inferShapes(int32_t nbMaxNames, char const** tensorNames) noexcept
4860 {
4861 return mImpl->inferShapes(nbMaxNames, tensorNames);
4862 }
4863
4877 {
4878 return mImpl->updateDeviceMemorySizeForShapes();
4879 }
4880
4892 bool setInputConsumedEvent(cudaEvent_t event) noexcept
4893 {
4894 return mImpl->setInputConsumedEvent(event);
4895 }
4896
4902 cudaEvent_t getInputConsumedEvent() const noexcept
4903 {
4904 return mImpl->getInputConsumedEvent();
4905 }
4906
4921 bool setOutputAllocator(char const* tensorName, IOutputAllocator* outputAllocator) noexcept
4922 {
4923 return mImpl->setOutputAllocator(tensorName, outputAllocator);
4924 }
4925
4934 IOutputAllocator* getOutputAllocator(char const* tensorName) const noexcept
4935 {
4936 return mImpl->getOutputAllocator(tensorName);
4937 }
4938
4952 int64_t getMaxOutputSize(char const* tensorName) const noexcept
4953 {
4954 return mImpl->getMaxOutputSize(tensorName);
4955 }
4956
4973 {
4974 return mImpl->setTemporaryStorageAllocator(allocator);
4975 }
4976
4983 {
4984 return mImpl->getTemporaryStorageAllocator();
4985 }
4986
5006 bool enqueueV3(cudaStream_t stream) noexcept
5007 {
5008 return mImpl->enqueueV3(stream);
5009 }
5010
5022 void setPersistentCacheLimit(size_t size) noexcept
5023 {
5024 mImpl->setPersistentCacheLimit(size);
5025 }
5026
5033 size_t getPersistentCacheLimit() const noexcept
5034 {
5035 return mImpl->getPersistentCacheLimit();
5036 }
5037
5057 bool setNvtxVerbosity(ProfilingVerbosity verbosity) noexcept
5058 {
5059 return mImpl->setNvtxVerbosity(verbosity);
5060 }
5061
5070 {
5071 return mImpl->getNvtxVerbosity();
5072 }
5073
5100 void setAuxStreams(cudaStream_t* auxStreams, int32_t nbStreams) noexcept
5101 {
5102 mImpl->setAuxStreams(auxStreams, nbStreams);
5103 }
5104
5112 bool setDebugListener(IDebugListener* listener) noexcept
5113 {
5114 return mImpl->setDebugListener(listener);
5115 }
5116
5123 {
5124 return mImpl->getDebugListener();
5125 }
5126
5141 bool setTensorDebugState(char const* name, bool flag) noexcept
5142 {
5143 return mImpl->setTensorDebugState(name, flag);
5144 }
5145
5153 bool getDebugState(char const* name) const noexcept
5154 {
5155 return mImpl->getDebugState(name);
5156 }
5157
5164 {
5165 return mImpl->getRuntimeConfig();
5166 }
5167
5176 bool setAllTensorsDebugState(bool flag) noexcept
5177 {
5178 return mImpl->setAllTensorsDebugState(flag);
5179 }
5180
5192 bool setUnfusedTensorsDebugState(bool flag) noexcept
5193 {
5194 return mImpl->setUnfusedTensorsDebugState(flag);
5195 }
5196
5202 bool getUnfusedTensorsDebugState() const noexcept
5203 {
5204 return mImpl->getUnfusedTensorsDebugState();
5205 }
5206#if ENABLE_FEATURE_DISABLE_RUNTIME_ALLOCATION
5225 bool isStreamCapturable(cudaStream_t stream) const noexcept {
5226 return mImpl->isStreamCapturable(stream);
5227 }
5228#endif // ENABLE_FEATURE_DISABLE_RUNTIME_ALLOCATION
5229
5230protected:
5231 apiv::VExecutionContext* mImpl;
5232}; // class IExecutionContext
5233
5241enum class LayerInformationFormat : int32_t
5242{
5243 kONELINE = 0,
5244 kJSON = 1,
5245};
5246
5249template <>
5250constexpr inline int32_t EnumMax<LayerInformationFormat>() noexcept
5251{
5252 return 2;
5253}
5254
5271{
5272public:
5273 virtual ~IEngineInspector() noexcept = default;
5274
5287 bool setExecutionContext(IExecutionContext const* context) noexcept
5288 {
5289 return mImpl->setExecutionContext(context);
5290 }
5291
5300 {
5301 return mImpl->getExecutionContext();
5302 }
5303
5324 char const* getLayerInformation(int32_t layerIndex, LayerInformationFormat format) const noexcept
5325 {
5326 return mImpl->getLayerInformation(layerIndex, format);
5327 }
5328
5347 char const* getEngineInformation(LayerInformationFormat format) const noexcept
5348 {
5349 return mImpl->getEngineInformation(format);
5350 }
5351
5366 void setErrorRecorder(IErrorRecorder* recorder) noexcept
5367 {
5368 mImpl->setErrorRecorder(recorder);
5369 }
5370
5382 {
5383 return mImpl->getErrorRecorder();
5384 }
5385
5386protected:
5387 apiv::VEngineInspector* mImpl;
5388}; // class IEngineInspector
5389
5390} // namespace nvinfer1
5391
5396extern "C" TENSORRTAPI void* createInferRuntime_INTERNAL(void* logger, int32_t version) noexcept;
5397
5402extern "C" TENSORRTAPI void* createInferRefitter_INTERNAL(void* engine, void* logger, int32_t version) noexcept;
5403
5408
5414extern "C" TENSORRTAPI nvinfer1::ILogger* getLogger() noexcept;
5415
5416namespace nvinfer1
5417{
5418namespace // unnamed namespace avoids linkage surprises when linking objects built with different versions of this
5419 // header.
5420{
5426inline IRuntime* createInferRuntime(ILogger& logger) noexcept
5427{
5428 return static_cast<IRuntime*>(createInferRuntime_INTERNAL(&logger, NV_TENSORRT_VERSION));
5429}
5430
5437inline IRefitter* createInferRefitter(ICudaEngine& engine, ILogger& logger) noexcept
5438{
5439 return static_cast<IRefitter*>(createInferRefitter_INTERNAL(&engine, &logger, NV_TENSORRT_VERSION));
5440}
5441
5442} // namespace
5443
5455template <typename T>
5457{
5458public:
5460 {
5461 getPluginRegistry()->registerCreator(instance, "");
5462 }
5463
5464private:
5466 T instance{};
5467};
5468
5469} // namespace nvinfer1
5470
5471#define REGISTER_TENSORRT_PLUGIN(name) \
5472 static nvinfer1::PluginRegistrar<name> pluginRegistrar##name {}
5473
5474namespace nvinfer1
5475{
5485{
5486public:
5494 virtual ILogger* findLogger() = 0;
5495
5496protected:
5497 virtual ~ILoggerFinder() = default;
5498};
5499
5502namespace v_1_0
5503{
5504
5506{
5507public:
5509 ~IGpuAsyncAllocator() override = default;
5510
5540 void* allocateAsync(uint64_t const size, uint64_t const alignment, AllocatorFlags const flags,
5541 cudaStream_t /*stream*/) noexcept override = 0;
5542
5568 bool deallocateAsync(void* const memory, cudaStream_t /*stream*/) noexcept override = 0;
5569
5594 uint64_t const size, uint64_t const alignment, AllocatorFlags const flags) noexcept override
5595 {
5596 return allocateAsync(size, alignment, flags, nullptr);
5597 }
5598
5617 TRT_DEPRECATED bool deallocate(void* const memory) noexcept override
5618 {
5619 return deallocateAsync(memory, nullptr);
5620 }
5621
5625 InterfaceInfo getInterfaceInfo() const noexcept override
5626 {
5627 return {"IGpuAllocator", 1, 0};
5628 }
5629};
5630
5632{
5633public:
5637 InterfaceInfo getInterfaceInfo() const noexcept override
5638 {
5639 return InterfaceInfo{"PLUGIN CREATOR_V3ONE", 1, 0};
5640 }
5641
5659 AsciiChar const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept = 0;
5660
5667 virtual PluginFieldCollection const* getFieldNames() noexcept = 0;
5668
5675 virtual AsciiChar const* getPluginName() const noexcept = 0;
5676
5683 virtual AsciiChar const* getPluginVersion() const noexcept = 0;
5684
5691 virtual AsciiChar const* getPluginNamespace() const noexcept = 0;
5692
5694 virtual ~IPluginCreatorV3One() = default;
5695
5696protected:
5699 IPluginCreatorV3One& operator=(IPluginCreatorV3One const&) & = default;
5700 IPluginCreatorV3One& operator=(IPluginCreatorV3One&&) & = default;
5701};
5702
5703} // namespace v_1_0
5704
5719
5729
5730} // namespace nvinfer1
5731
5735extern "C" TENSORRTAPI int32_t getInferLibMajorVersion() noexcept;
5739extern "C" TENSORRTAPI int32_t getInferLibMinorVersion() noexcept;
5743extern "C" TENSORRTAPI int32_t getInferLibPatchVersion() noexcept;
5747extern "C" TENSORRTAPI int32_t getInferLibBuildVersion() noexcept;
5748
5749#endif // NV_INFER_RUNTIME_H
TENSORRTAPI nvinfer1::IPluginRegistry * getPluginRegistry() noexcept
Return the plugin registry.
TENSORRTAPI nvinfer1::ILogger * getLogger() noexcept
Return the logger object.
TENSORRTAPI int32_t getInferLibMinorVersion() noexcept
Return the library minor version number.
TENSORRTAPI int32_t getInferLibMajorVersion() noexcept
Return the library major version number.
TENSORRTAPI int32_t getInferLibPatchVersion() noexcept
Return the library patch version number.
TENSORRTAPI int32_t getInferLibBuildVersion() noexcept
Return the library build version number.
#define TENSORRTAPI
Definition: NvInferRuntimeBase.h:69
#define NV_TENSORRT_VERSION
Definition: NvInferRuntimeBase.h:101
#define TRT_DEPRECATED
Definition: NvInferRuntimeBase.h:42
#define TRT_DEPRECATED_ENUM
Definition: NvInferRuntimeBase.h:43
Structure to define the dimensions of a tensor.
Definition: NvInferRuntimeBase.h:218
static constexpr int32_t MAX_DIMS
The maximum rank (number of dimensions) supported for a tensor.
Definition: NvInferRuntimeBase.h:221
Analog of class Dims with expressions instead of constants for the dimensions.
Definition: NvInferRuntime.h:350
IDimensionExpr const * d[Dims::MAX_DIMS]
The extent of each dimension.
Definition: NvInferRuntime.h:353
int32_t nbDims
The number of dimensions.
Definition: NvInferRuntime.h:352
An engine for executing inference on a built network, with functionally unsafe features.
Definition: NvInferRuntime.h:3197
int32_t getTensorBytesPerComponent(char const *tensorName) const noexcept
Return the number of bytes per component of an element, or -1 if the tensor is not vectorized or prov...
Definition: NvInferRuntime.h:3447
ISerializationConfig * createSerializationConfig() noexcept
Create a serialization configuration object.
Definition: NvInferRuntime.h:3847
TRT_DEPRECATED int64_t getWeightStreamingBudget() const noexcept
Returns the current weight streaming device memory budget in bytes.
Definition: NvInferRuntime.h:3932
char const * getIOTensorName(int32_t index) const noexcept
Return name of an IO tensor.
Definition: NvInferRuntime.h:3811
int64_t getWeightStreamingBudgetV2() const noexcept
Returns the current weight streaming device memory budget in bytes.
Definition: NvInferRuntime.h:4031
EngineCapability getEngineCapability() const noexcept
Determine what execution capability this engine has.
Definition: NvInferRuntime.h:3700
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:3734
TensorFormat getTensorFormat(char const *tensorName, int32_t profileIndex) const noexcept
Return the tensor format of given profile, or TensorFormat::kLINEAR if the provided name does not map...
Definition: NvInferRuntime.h:3533
int64_t const * getProfileTensorValuesV2(char const *tensorName, int32_t profileIndex, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum values (not dimensions) for an input tensor given its name under ...
Definition: NvInferRuntime.h:4122
TRT_DEPRECATED bool hasImplicitBatchDimension() const noexcept
Query whether the engine was built with an implicit batch dimension.
Definition: NvInferRuntime.h:3748
apiv::VCudaEngine * mImpl
Definition: NvInferRuntime.h:4157
TRT_DEPRECATED size_t getDeviceMemorySizeForProfile(int32_t profileIndex) const noexcept
Return the maximum device memory required by the context for a profile.
Definition: NvInferRuntime.h:3384
IExecutionContext * createExecutionContext(ExecutionContextAllocationStrategy strategy=ExecutionContextAllocationStrategy::kSTATIC) noexcept
Create an execution context and specify the strategy for allocating internal activation memory.
Definition: NvInferRuntime.h:3271
char const * getTensorFormatDesc(char const *tensorName) const noexcept
Return the human readable description of the tensor format, or empty string if the provided name does...
Definition: NvInferRuntime.h:3557
Dims getProfileShape(char const *tensorName, int32_t profileIndex, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum dimensions for an input tensor given its name under an optimizati...
Definition: NvInferRuntime.h:3659
bool setWeightStreamingBudgetV2(int64_t gpuMemoryBudget) noexcept
Limit the maximum amount of GPU memory usable for network weights in bytes.
Definition: NvInferRuntime.h:4013
IExecutionContext * createExecutionContext(IRuntimeConfig *runtimeConfig) noexcept
Create an execution context with TensorRT JIT runtime config.
Definition: NvInferRuntime.h:3347
int32_t getNbAuxStreams() const noexcept
Return the number of auxiliary streams used by this engine.
Definition: NvInferRuntime.h:3837
int64_t getStreamableWeightsSize() const noexcept
Get the total size in bytes of all streamable weights.
Definition: NvInferRuntime.h:3971
DataType getTensorDataType(char const *tensorName) const noexcept
Determine the required data type for a buffer from its tensor name.
Definition: NvInferRuntime.h:3226
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:3719
TacticSources getTacticSources() const noexcept
return the tactic sources required by this engine.
Definition: NvInferRuntime.h:3764
IHostMemory * serializeWithConfig(ISerializationConfig &config) const noexcept
Serialize the network to a stream with the provided SerializationConfig.
Definition: NvInferRuntime.h:3867
virtual ~ICudaEngine() noexcept=default
int64_t getWeightStreamingAutomaticBudget() const noexcept
TensorRT automatically determines a device memory budget for the model to run. The budget is close to...
Definition: NvInferRuntime.h:4056
bool isDebugTensor(char const *name) const noexcept
Check if a tensor is marked as a debug tensor.
Definition: NvInferRuntime.h:4098
int32_t getTensorVectorizedDim(char const *tensorName, int32_t profileIndex) const noexcept
Return the dimension index that the buffer is vectorized of given profile, or -1 if the provided name...
Definition: NvInferRuntime.h:3613
char const * getName() const noexcept
Returns the name of the network associated with the engine.
Definition: NvInferRuntime.h:3628
ProfilingVerbosity getProfilingVerbosity() const noexcept
Return the ProfilingVerbosity the builder config was set to when the engine was built.
Definition: NvInferRuntime.h:3776
bool isShapeInferenceIO(char const *tensorName) const noexcept
True if tensor is required as input for shape calculations or is output from shape calculations.
Definition: NvInferRuntime.h:3309
TRT_DEPRECATED int32_t const * getProfileTensorValues(char const *tensorName, int32_t profileIndex, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum values (not dimensions) for an input tensor given its name under ...
Definition: NvInferRuntime.h:3684
int64_t getWeightStreamingScratchMemorySize() const noexcept
Returns the size of the scratch memory required by the current weight streaming budget.
Definition: NvInferRuntime.h:4084
TRT_DEPRECATED bool setWeightStreamingBudget(int64_t gpuMemoryBudget) noexcept
Limit the maximum amount of GPU memory usable for network weights in bytes.
Definition: NvInferRuntime.h:3912
int64_t getDeviceMemorySizeV2() const noexcept
Return the maximum device memory required by the context over all profiles.
Definition: NvInferRuntime.h:3400
int32_t getTensorVectorizedDim(char const *tensorName) const noexcept
Return the dimension index that the buffer is vectorized, or -1 if the provided name does not map to ...
Definition: NvInferRuntime.h:3597
TRT_DEPRECATED size_t getDeviceMemorySize() const noexcept
Return the maximum device memory required by the context over all profiles.
Definition: NvInferRuntime.h:3372
int32_t getTensorComponentsPerElement(char const *tensorName, int32_t profileIndex) const noexcept
Return the number of components included in one element of given profile, or -1 if tensor is not vect...
Definition: NvInferRuntime.h:3504
int64_t getDeviceMemorySizeForProfileV2(int32_t profileIndex) const noexcept
Return the maximum device memory required by the context for a profile.
Definition: NvInferRuntime.h:3416
IRuntimeConfig * createRuntimeConfig() noexcept
Create a runtime config for TensorRT JIT. The caller is responsible for ownership of the returned IRu...
Definition: NvInferRuntime.h:3360
TensorFormat getTensorFormat(char const *tensorName) const noexcept
Return the tensor format, or TensorFormat::kLINEAR if the provided name does not map to an input or o...
Definition: NvInferRuntime.h:3519
IHostMemory * serialize() const noexcept
Serialize the network to a stream.
Definition: NvInferRuntime.h:3254
int64_t getEngineStat(EngineStat stat) const noexcept
Get engine statistics according to the given enum value.
Definition: NvInferRuntime.h:4151
TensorLocation getTensorLocation(char const *tensorName) const noexcept
Get whether an input or output tensor must be on GPU or CPU.
Definition: NvInferRuntime.h:3289
IEngineInspector * createEngineInspector() const noexcept
Create a new engine inspector which prints the layer information in an engine or an execution context...
Definition: NvInferRuntime.h:3786
int32_t getTensorBytesPerComponent(char const *tensorName, int32_t profileIndex) const noexcept
Return the number of bytes per component of an element given of given profile, or -1 if the tensor is...
Definition: NvInferRuntime.h:3465
HardwareCompatibilityLevel getHardwareCompatibilityLevel() const noexcept
Return the hardware compatibility level of this engine.
Definition: NvInferRuntime.h:3822
int32_t getNbOptimizationProfiles() const noexcept
Get the number of optimization profiles defined for this engine.
Definition: NvInferRuntime.h:3639
TRT_DEPRECATED IExecutionContext * createExecutionContextWithoutDeviceMemory() noexcept
create an execution context without any device memory allocated
Definition: NvInferRuntime.h:3335
char const * getTensorFormatDesc(char const *tensorName, int32_t profileIndex) const noexcept
Return the human readable description of the tensor format of given profile, or empty string if the p...
Definition: NvInferRuntime.h:3580
TRT_DEPRECATED int64_t getMinimumWeightStreamingBudget() const noexcept
The minimum number of bytes of GPU memory required by network weights for successful weight streaming...
Definition: NvInferRuntime.h:3955
TensorIOMode getTensorIOMode(char const *tensorName) const noexcept
Determine whether a tensor is an input or output tensor.
Definition: NvInferRuntime.h:3323
int32_t getNbLayers() const noexcept
Get the number of layers in the network.
Definition: NvInferRuntime.h:3240
int32_t getNbIOTensors() const noexcept
Return number of IO tensors.
Definition: NvInferRuntime.h:3799
int32_t getTensorComponentsPerElement(char const *tensorName) const noexcept
Return the number of components included in one element, or -1 if tensor is not vectorized or if the ...
Definition: NvInferRuntime.h:3486
bool isRefittable() const noexcept
Return true if an engine can be refit.
Definition: NvInferRuntime.h:3426
An IDimensionExpr represents an integer expression constructed from constants, input dimensions,...
Definition: NvInferRuntime.h:232
bool isConstant() const noexcept
Return true if expression is a build-time constant.
Definition: NvInferRuntime.h:237
bool isSizeTensor() const noexcept
Return true if this denotes the value of a size tensor.
Definition: NvInferRuntime.h:263
virtual ~IDimensionExpr() noexcept=default
apiv::VDimensionExpr * mImpl
Definition: NvInferRuntime.h:254
int64_t getConstantValue() const noexcept
Get the value of the constant.
Definition: NvInferRuntime.h:248
An engine inspector which prints out the layer information of an engine or an execution context.
Definition: NvInferRuntime.h:5271
char const * getLayerInformation(int32_t layerIndex, LayerInformationFormat format) const noexcept
Get a string describing the information about a specific layer in the current engine or the execution...
Definition: NvInferRuntime.h:5324
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:5381
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:5366
IExecutionContext const * getExecutionContext() const noexcept
Get the context currently being inspected.
Definition: NvInferRuntime.h:5299
apiv::VEngineInspector * mImpl
Definition: NvInferRuntime.h:5387
virtual ~IEngineInspector() noexcept=default
char const * getEngineInformation(LayerInformationFormat format) const noexcept
Get a string describing the information about all the layers in the current engine or the execution c...
Definition: NvInferRuntime.h:5347
Context for executing inference using an engine, with functionally unsafe features.
Definition: NvInferRuntime.h:4299
IOutputAllocator * getOutputAllocator(char const *tensorName) const noexcept
Get output allocator associated with output tensor of given name, or nullptr if the provided name doe...
Definition: NvInferRuntime.h:4934
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:4582
bool reportToProfiler() const noexcept
Calculate layer timing info for the current optimization profile in IExecutionContext and update the ...
Definition: NvInferRuntime.h:4701
virtual ~IExecutionContext() noexcept=default
void setDeviceMemory(void *memory) noexcept
Set the device memory for use by this execution context.
Definition: NvInferRuntime.h:4402
TRT_DEPRECATED bool allInputShapesSpecified() const noexcept
Whether all input shape bindings have been specified.
Definition: NvInferRuntime.h:4548
bool setTensorDebugState(char const *name, bool flag) noexcept
Set debug state of tensor given the tensor name.
Definition: NvInferRuntime.h:5141
char const * getName() const noexcept
Return the name of the execution context.
Definition: NvInferRuntime.h:4375
IGpuAllocator * getTemporaryStorageAllocator() const noexcept
Get allocator set by setTemporaryStorageAllocator.
Definition: NvInferRuntime.h:4982
void setEnqueueEmitsProfile(bool enqueueEmitsProfile) noexcept
Set whether enqueue emits layer timing to the profiler.
Definition: NvInferRuntime.h:4659
bool setUnfusedTensorsDebugState(bool flag) noexcept
Turn the debug state of unfused tensors on or off.
Definition: NvInferRuntime.h:5192
Dims getTensorShape(char const *tensorName) const noexcept
Return the shape of the given input or output.
Definition: NvInferRuntime.h:4515
bool getDebugState(char const *name) const noexcept
Get the debug state.
Definition: NvInferRuntime.h:5153
bool setInputShape(char const *tensorName, Dims const &dims) noexcept
Set shape of given input.
Definition: NvInferRuntime.h:4478
bool executeV2(void *const *bindings) noexcept
Synchronously execute a network.
Definition: NvInferRuntime.h:4599
bool getEnqueueEmitsProfile() const noexcept
Get the enqueueEmitsProfile state.
Definition: NvInferRuntime.h:4671
void const * getTensorAddress(char const *tensorName) const noexcept
Get memory address bound to given input or output tensor, or nullptr if the provided name does not ma...
Definition: NvInferRuntime.h:4762
bool setOutputAllocator(char const *tensorName, IOutputAllocator *outputAllocator) noexcept
Set output allocator to use for output tensor of given name. Pass nullptr to outputAllocator to unset...
Definition: NvInferRuntime.h:4921
bool setOptimizationProfileAsync(int32_t profileIndex, cudaStream_t stream) noexcept
Select an optimization profile for the current context with async semantics.
Definition: NvInferRuntime.h:4643
apiv::VExecutionContext * mImpl
Definition: NvInferRuntime.h:5231
bool setOutputTensorAddress(char const *tensorName, void *data) noexcept
Set the memory address for a given output tensor.
Definition: NvInferRuntime.h:4785
void setPersistentCacheLimit(size_t size) noexcept
Set the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:5022
size_t getPersistentCacheLimit() const noexcept
Get the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:5033
bool setAllTensorsDebugState(bool flag) noexcept
Turn the debug state of all debug tensors on or off.
Definition: NvInferRuntime.h:5176
ICudaEngine const & getEngine() const noexcept
Get the associated engine.
Definition: NvInferRuntime.h:4351
ProfilingVerbosity getNvtxVerbosity() const noexcept
Get the NVTX verbosity of the execution context.
Definition: NvInferRuntime.h:5069
size_t updateDeviceMemorySizeForShapes() noexcept
Recompute the internal activation buffer sizes based on the current input shapes, and return the tota...
Definition: NvInferRuntime.h:4876
void setAuxStreams(cudaStream_t *auxStreams, int32_t nbStreams) noexcept
Set the auxiliary streams that TensorRT should launch kernels on in the next enqueueV3() call.
Definition: NvInferRuntime.h:5100
int64_t getMaxOutputSize(char const *tensorName) const noexcept
Get upper bound on an output tensor's size, in bytes, based on the current optimization profile and i...
Definition: NvInferRuntime.h:4952
int32_t inferShapes(int32_t nbMaxNames, char const **tensorNames) noexcept
Run shape calculations.
Definition: NvInferRuntime.h:4859
bool setDebugListener(IDebugListener *listener) noexcept
Set DebugListener for this execution context.
Definition: NvInferRuntime.h:5112
bool setTensorAddress(char const *tensorName, void *data) noexcept
Set memory address for given input or output tensor.
Definition: NvInferRuntime.h:4745
bool setTemporaryStorageAllocator(IGpuAllocator *allocator) noexcept
Specify allocator to use for internal temporary storage.
Definition: NvInferRuntime.h:4972
void * getOutputTensorAddress(char const *tensorName) const noexcept
Get memory address for given output.
Definition: NvInferRuntime.h:4826
bool enqueueV3(cudaStream_t stream) noexcept
Enqueue inference on a stream.
Definition: NvInferRuntime.h:5006
IDebugListener * getDebugListener() noexcept
Get the DebugListener of this execution context.
Definition: NvInferRuntime.h:5122
int32_t getOptimizationProfile() const noexcept
Get the index of the currently selected optimization profile.
Definition: NvInferRuntime.h:4460
bool setInputTensorAddress(char const *tensorName, void const *data) noexcept
Set memory address for given input.
Definition: NvInferRuntime.h:4807
bool getDebugSync() const noexcept
Get the debug sync flag.
Definition: NvInferRuntime.h:4321
bool setInputConsumedEvent(cudaEvent_t event) noexcept
Mark input as consumed.
Definition: NvInferRuntime.h:4892
Dims getTensorStrides(char const *tensorName) const noexcept
Return the strides of the buffer for the given tensor name.
Definition: NvInferRuntime.h:4445
bool setNvtxVerbosity(ProfilingVerbosity verbosity) noexcept
Set the verbosity of the NVTX markers in the execution context.
Definition: NvInferRuntime.h:5057
IProfiler * getProfiler() const noexcept
Get the profiler.
Definition: NvInferRuntime.h:4341
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:4567
void setDeviceMemoryV2(void *memory, int64_t size) noexcept
Set the device memory and its corresponding size for use by this execution context.
Definition: NvInferRuntime.h:4424
bool allInputDimensionsSpecified() const noexcept
Whether all dynamic dimensions of input tensors have been specified.
Definition: NvInferRuntime.h:4531
bool getUnfusedTensorsDebugState() const noexcept
Get the debug state of unfused tensors.
Definition: NvInferRuntime.h:5202
void setProfiler(IProfiler *profiler) noexcept
Set the profiler.
Definition: NvInferRuntime.h:4331
void setName(char const *name) noexcept
Set the name of the execution context.
Definition: NvInferRuntime.h:4365
cudaEvent_t getInputConsumedEvent() const noexcept
The event associated with consuming the input.
Definition: NvInferRuntime.h:4902
IRuntimeConfig * getRuntimeConfig() const noexcept
Get the runtime config object used during execution context creation.
Definition: NvInferRuntime.h:5163
Object for constructing IDimensionExpr.
Definition: NvInferRuntime.h:287
IDimensionExpr const * operation(DimensionOperation op, IDimensionExpr const &first, IDimensionExpr const &second) noexcept
Get the operation.
Definition: NvInferRuntime.h:303
virtual ~IExprBuilder() noexcept=default
IDimensionExpr const * constant(int64_t value) noexcept
Return pointer to IDimensionExpr for given value.
Definition: NvInferRuntime.h:292
apiv::VExprBuilder * mImpl
Definition: NvInferRuntime.h:310
IDimensionExpr const * declareSizeTensor(int32_t outputIndex, IDimensionExpr const &opt, IDimensionExpr const &upper)
Declare a size tensor at the given output index, with the specified auto-tuning formula and upper bou...
Definition: NvInferRuntime.h:338
Class to handle library allocated memory that is accessible to the user.
Definition: NvInferRuntime.h:142
void * data() const noexcept
A pointer to the raw data that is owned by the library.
Definition: NvInferRuntime.h:147
DataType type() const noexcept
The type of the memory that was allocated.
Definition: NvInferRuntime.h:159
std::size_t size() const noexcept
The size in bytes of the data that was allocated.
Definition: NvInferRuntime.h:153
apiv::VHostMemory * mImpl
Definition: NvInferRuntime.h:165
virtual ~IHostMemory() noexcept=default
A virtual base class to find a logger. Allows a plugin to find an instance of a logger if it needs to...
Definition: NvInferRuntime.h:5485
virtual ILogger * findLogger()=0
Get the logger used by the engine or execution context which called the plugin method.
virtual ~ILoggerFinder()=default
Application-implemented logging interface for the builder, refitter and runtime.
Definition: NvInferRuntime.h:1588
virtual ~ILogger()=default
Severity
The severity corresponding to a log message.
Definition: NvInferRuntime.h:1596
virtual void log(Severity severity, AsciiChar const *msg) noexcept=0
A callback implemented by the application to handle logging messages;.
Forward declaration of IEngineInspector for use by other interfaces.
Definition: NvInferRuntime.h:51
INoCopy & operator=(INoCopy &&other)=delete
INoCopy(INoCopy const &other)=delete
INoCopy(INoCopy &&other)=delete
virtual ~INoCopy()=default
INoCopy & operator=(INoCopy const &other)=delete
Optimization profile for dynamic input dimensions and shape tensors.
Definition: NvInferRuntime.h:2675
TRT_DEPRECATED int32_t const * getShapeValues(char const *inputName, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum values for an input shape tensor.
Definition: NvInferRuntime.h:2796
apiv::VOptimizationProfile * mImpl
Definition: NvInferRuntime.h:2912
Dims getDimensions(char const *inputName, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum dimensions for a dynamic input tensor.
Definition: NvInferRuntime.h:2716
TRT_DEPRECATED bool setShapeValues(char const *inputName, OptProfileSelector select, int32_t const *values, int32_t nbValues) noexcept
Set the minimum / optimum / maximum values for an input shape tensor.
Definition: NvInferRuntime.h:2768
virtual ~IOptimizationProfile() noexcept=default
float getExtraMemoryTarget() const noexcept
Get the extra memory target that has been defined for this profile.
Definition: NvInferRuntime.h:2826
bool setExtraMemoryTarget(float target) noexcept
Set a target for extra GPU memory that may be used by this profile.
Definition: NvInferRuntime.h:2814
bool setDimensions(char const *inputName, OptProfileSelector select, Dims const &dims) noexcept
Set the minimum / optimum / maximum dimensions for a dynamic input tensor.
Definition: NvInferRuntime.h:2704
bool isValid() const noexcept
Check whether the optimization profile can be passed to an IBuilderConfig object.
Definition: NvInferRuntime.h:2843
int64_t const * getShapeValuesV2(char const *inputName, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum values for an input shape tensor.
Definition: NvInferRuntime.h:2906
bool setShapeValuesV2(char const *inputName, OptProfileSelector select, int64_t const *values, int32_t nbValues) noexcept
Set the minimum / optimum / maximum values for an input shape tensor.
Definition: NvInferRuntime.h:2893
int32_t getNbShapeValues(char const *inputName) const noexcept
Get the number of values for an input shape tensor.
Definition: NvInferRuntime.h:2782
Single registration point for all plugins in an application. It is used to find plugin implementation...
Definition: NvInferRuntimeCommon.h:56
virtual TRT_DEPRECATED bool registerCreator(IPluginCreator &creator, AsciiChar const *const pluginNamespace) noexcept=0
Register a plugin creator implementing IPluginCreator. Returns false if any plugin creator with the s...
Interface for plugins to access per context resources provided by TensorRT.
Definition: NvInferRuntime.h:813
virtual IErrorRecorder * getErrorRecorder() const noexcept=0
Get the error recorder associated with the resource context.
IPluginResourceContext & operator=(IPluginResourceContext const &) &=default
virtual IGpuAllocator * getGpuAllocator() const noexcept=0
Get the GPU allocator associated with the resource context.
Similar to IPluginV2Ext, but with support for dynamic shapes.
Definition: NvInferRuntime.h:407
IPluginV2DynamicExt * clone() const noexcept override=0
Clone the plugin object. This copies over internal plugin parameters as well and returns a new plugin...
virtual ~IPluginV2DynamicExt() noexcept
Definition: NvInferRuntime.h:558
Plugin class for user-implemented layers.
Definition: NvInferRuntimePlugin.h:474
Updates weights in an engine.
Definition: NvInferRuntime.h:2195
bool refitCudaEngineAsync(cudaStream_t stream) noexcept
Enqueue weights refitting of the associated engine on the given stream.
Definition: NvInferRuntime.h:2597
int32_t getMaxThreads() const noexcept
get the maximum number of threads that can be used by the refitter.
Definition: NvInferRuntime.h:2476
TensorLocation getWeightsLocation(char const *weightsName) const noexcept
Get location for the weights associated with the given name.
Definition: NvInferRuntime.h:2535
bool setNamedWeights(char const *name, Weights weights) noexcept
Specify new weights of given name.
Definition: NvInferRuntime.h:2400
int32_t getAllWeights(int32_t size, char const **weightsNames) noexcept
Get names of all weights that could be refit.
Definition: NvInferRuntime.h:2436
ILogger * getLogger() const noexcept
get the logger with which the refitter was created
Definition: NvInferRuntime.h:2446
bool refitCudaEngine() noexcept
Refits associated engine.
Definition: NvInferRuntime.h:2231
int32_t getMissingWeights(int32_t size, char const **weightsNames) noexcept
Get names of missing weights.
Definition: NvInferRuntime.h:2420
TRT_DEPRECATED float getDynamicRangeMax(char const *tensorName) const noexcept
Get maximum of dynamic range.
Definition: NvInferRuntime.h:2323
int32_t getMissing(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of missing weights.
Definition: NvInferRuntime.h:2252
Weights getNamedWeights(char const *weightsName) const noexcept
Get weights associated with the given name.
Definition: NvInferRuntime.h:2519
bool unsetNamedWeights(char const *weightsName) noexcept
Unset weights associated with the given name.
Definition: NvInferRuntime.h:2551
Weights getWeightsPrototype(char const *weightsName) const noexcept
Get the Weights prototype associated with the given name.
Definition: NvInferRuntime.h:2615
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:2462
TRT_DEPRECATED float getDynamicRangeMin(char const *tensorName) const noexcept
Get minimum of dynamic range.
Definition: NvInferRuntime.h:2307
TRT_DEPRECATED int32_t getTensorsWithDynamicRange(int32_t size, char const **tensorNames) const noexcept
Get names of all tensors that have refittable dynamic ranges.
Definition: NvInferRuntime.h:2341
bool setNamedWeights(char const *name, Weights weights, TensorLocation location) noexcept
Specify new weights on a specified device of given name.
Definition: NvInferRuntime.h:2503
void setWeightsValidation(bool weightsValidation) noexcept
Set whether to validate weights during refitting.
Definition: NvInferRuntime.h:2567
TRT_DEPRECATED bool setDynamicRange(char const *tensorName, float min, float max) noexcept
Definition: NvInferRuntime.h:2291
apiv::VRefitter * mImpl
Definition: NvInferRuntime.h:2621
int32_t getAll(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of all weights that could be refit.
Definition: NvInferRuntime.h:2269
virtual ~IRefitter() noexcept=default
bool getWeightsValidation() const noexcept
Get whether to validate weights values during refitting.
Definition: NvInferRuntime.h:2575
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:2360
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:2375
A class for runtime configuration. This class is used during execution context creation.
Definition: NvInferRuntime.h:3132
virtual ~IRuntimeConfig() noexcept=default
apiv::VRuntimeConfig * mImpl
Definition: NvInferRuntime.h:3158
ExecutionContextAllocationStrategy getExecutionContextAllocationStrategy() const noexcept
Get the execution context allocation strategy.
Definition: NvInferRuntime.h:3151
Allows a serialized functionally unsafe engine to be deserialized.
Definition: NvInferRuntime.h:1866
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:2039
IRuntime * loadRuntime(char const *path) noexcept
Load IRuntime from the file.
Definition: NvInferRuntime.h:2155
bool getEngineHostCodeAllowed() const noexcept
Get whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:2177
TempfileControlFlags getTempfileControlFlags() const noexcept
Get the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:2127
void setEngineHostCodeAllowed(bool allowed) noexcept
Set whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:2167
virtual ~IRuntime() noexcept=default
void setTemporaryDirectory(char const *path) noexcept
Set the directory that will be used by this runtime for temporary files.
Definition: NvInferRuntime.h:2088
IPluginRegistry & getPluginRegistry() noexcept
Get the local plugin registry that can be used by the runtime.
Definition: NvInferRuntime.h:2137
apiv::VRuntime * mImpl
Definition: NvInferRuntime.h:2184
int32_t getNbDLACores() const noexcept
Returns number of DLA hardware cores accessible or 0 if DLA is unavailable.
Definition: NvInferRuntime.h:1899
ICudaEngine * deserializeCudaEngine(void const *blob, std::size_t size) noexcept
Deserialize an engine from host memory.
Definition: NvInferRuntime.h:1967
void setTempfileControlFlags(TempfileControlFlags flags) noexcept
Set the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:2115
int32_t getDLACore() const noexcept
Get the DLA core that the engine executes on.
Definition: NvInferRuntime.h:1891
void setGpuAllocator(IGpuAllocator *allocator) noexcept
Set the GPU allocator.
Definition: NvInferRuntime.h:1915
IErrorRecorder * getErrorRecorder() const noexcept
get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:1949
ICudaEngine * deserializeCudaEngine(IStreamReaderV2 &streamReader)
Deserialize an engine from a stream. IStreamReaderV2 is expected to support reading to both host and ...
Definition: NvInferRuntime.h:2014
ILogger * getLogger() const noexcept
get the logger with which the runtime was created
Definition: NvInferRuntime.h:2024
int32_t getMaxThreads() const noexcept
Get the maximum number of threads that can be used by the runtime.
Definition: NvInferRuntime.h:2053
char const * getTemporaryDirectory() const noexcept
Get the directory that will be used by this runtime for temporary files.
Definition: NvInferRuntime.h:2099
TRT_DEPRECATED ICudaEngine * deserializeCudaEngine(IStreamReader &streamReader)
Deserialize an engine from a stream.
Definition: NvInferRuntime.h:1991
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:1934
Holds properties for configuring an engine to serialize the binary.
Definition: NvInferRuntime.h:3023
virtual ~ISerializationConfig() noexcept=default
bool clearFlag(SerializationFlag serializationFlag) noexcept
clear a serialization flag.
Definition: NvInferRuntime.h:3062
bool setFlag(SerializationFlag serializationFlag) noexcept
Set a serialization flag.
Definition: NvInferRuntime.h:3074
SerializationFlags getFlags() const noexcept
Get the serialization flags for this config.
Definition: NvInferRuntime.h:3050
bool getFlag(SerializationFlag serializationFlag) const noexcept
Returns true if the serialization flag is set.
Definition: NvInferRuntime.h:3086
apiv::VSerializationConfig * mImpl
Definition: NvInferRuntime.h:3092
An Interface class for version control.
Definition: NvInferRuntimeBase.h:278
Version information associated with a TRT interface.
Definition: NvInferRuntimeBase.h:243
Register the plugin creator to the registry The static registry object will be instantiated when the ...
Definition: NvInferRuntime.h:5457
PluginRegistrar()
Definition: NvInferRuntime.h:5459
An array of weights used as a layer parameter.
Definition: NvInferRuntime.h:124
DataType type
The type of the weights.
Definition: NvInferRuntime.h:126
int64_t count
The number of weights in the array.
Definition: NvInferRuntime.h:128
void const * values
The weight values, in a contiguous array.
Definition: NvInferRuntime.h:127
Definition: NvInferRuntime.h:4250
virtual bool processDebugTensor(void const *addr, TensorLocation location, DataType type, Dims const &shape, char const *name, cudaStream_t stream)=0
Callback function that is called when a debug tensor’s value is updated and the debug state of the te...
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:4255
~IDebugListener() override=default
Definition: NvInferRuntimeBase.h:415
Definition: NvInferRuntime.h:1656
virtual void * allocateAsync(uint64_t const size, uint64_t const alignment, AllocatorFlags const flags, cudaStream_t) noexcept
A thread-safe callback implemented by the application to handle stream-ordered acquisition of GPU mem...
Definition: NvInferRuntime.h:1778
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:1819
virtual TRT_DEPRECATED bool deallocate(void *const memory) noexcept=0
A thread-safe callback implemented by the application to handle release of GPU memory.
~IGpuAllocator() override=default
virtual void * reallocate(void *const, uint64_t, uint64_t) noexcept
A thread-safe callback implemented by the application to resize an existing allocation.
Definition: NvInferRuntime.h:1725
virtual TRT_DEPRECATED void * allocate(uint64_t const size, uint64_t const alignment, AllocatorFlags const flags) noexcept=0
A thread-safe callback implemented by the application to handle acquisition of GPU memory.
virtual bool deallocateAsync(void *const memory, cudaStream_t) noexcept
A thread-safe callback implemented by the application to handle stream-ordered release of GPU memory.
Definition: NvInferRuntime.h:1811
Definition: NvInferRuntime.h:5506
bool deallocateAsync(void *const memory, cudaStream_t) noexcept override=0
A thread-safe callback implemented by the application to handle stream-ordered asynchronous release o...
void * allocateAsync(uint64_t const size, uint64_t const alignment, AllocatorFlags const flags, cudaStream_t) noexcept override=0
A thread-safe callback implemented by the application to handle stream-ordered asynchronous acquisiti...
TRT_DEPRECATED void * allocate(uint64_t const size, uint64_t const alignment, AllocatorFlags const flags) noexcept override
A thread-safe callback implemented by the application to handle acquisition of GPU memory.
Definition: NvInferRuntime.h:5593
TRT_DEPRECATED bool deallocate(void *const memory) noexcept override
A thread-safe callback implemented by the application to handle release of GPU memory.
Definition: NvInferRuntime.h:5617
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:5625
~IGpuAsyncAllocator() override=default
Definition: NvInferRuntime.h:4163
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:4168
virtual void * reallocateOutputAsync(char const *tensorName, void *currentMemory, uint64_t size, uint64_t alignment, cudaStream_t)
Return a pointer to memory for an output tensor, or nullptr if memory cannot be allocated....
Definition: NvInferRuntime.h:4220
virtual void notifyShape(char const *tensorName, Dims const &dims) noexcept=0
Called by TensorRT when the shape of the output tensor is known.
virtual TRT_DEPRECATED void * reallocateOutput(char const *tensorName, void *currentMemory, uint64_t size, uint64_t alignment) noexcept
Return a pointer to memory for an output tensor, or nullptr if memory cannot be allocated....
Definition: NvInferRuntime.h:4192
Definition: NvInferPluginBase.h:141
Definition: NvInferPluginBase.h:193
Definition: NvInferRuntime.h:5632
virtual PluginFieldCollection const * getFieldNames() noexcept=0
Return a list of fields that need to be passed to createPlugin() when creating a plugin for use in th...
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:5637
virtual IPluginV3 * createPlugin(AsciiChar const *name, PluginFieldCollection const *fc, TensorRTPhase phase) noexcept=0
Return a plugin object. Return nullptr in case of error.
Definition: NvInferPluginBase.h:206
Definition: NvInferRuntime.h:882
virtual int32_t getFormatCombinationLimit() noexcept
Return the maximum number of format combinations that will be timed by TensorRT during the build phas...
Definition: NvInferRuntime.h:1086
virtual int32_t getNbOutputs() const noexcept=0
Get the number of outputs from the plugin.
virtual int32_t configurePlugin(DynamicPluginTensorDesc const *in, int32_t nbInputs, DynamicPluginTensorDesc const *out, int32_t nbOutputs) noexcept=0
Configure the plugin.
virtual int32_t getNbTactics() noexcept
Query for the number of custom tactics the plugin intends to use.
Definition: NvInferRuntime.h:1062
virtual char const * getMetadataString() noexcept
Query for a string representing the configuration of the plugin. May be called anytime after plugin c...
Definition: NvInferRuntime.h:1097
virtual char const * getTimingCacheID() noexcept
Called to query the suffix to use for the timing cache ID. May be called anytime after plugin creatio...
Definition: NvInferRuntime.h:1078
virtual bool supportsFormatCombination(int32_t pos, DynamicPluginTensorDesc const *inOut, int32_t nbInputs, int32_t nbOutputs) noexcept=0
Return true if plugin supports the format and datatype for the input/output indexed by pos.
virtual int32_t getOutputDataTypes(DataType *outputTypes, int32_t nbOutputs, const DataType *inputTypes, int32_t nbInputs) const noexcept=0
Provide the data types of the plugin outputs if the input tensors have the data types provided.
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:894
virtual int32_t getOutputShapes(DimsExprs const *inputs, int32_t nbInputs, DimsExprs const *shapeInputs, int32_t nbShapeInputs, DimsExprs *outputs, int32_t nbOutputs, IExprBuilder &exprBuilder) noexcept=0
Provide expressions for computing dimensions of the output tensors from dimensions of the input tenso...
virtual int32_t getValidTactics(int32_t *tactics, int32_t nbTactics) noexcept
Query for any custom tactics that the plugin intends to use.
Definition: NvInferRuntime.h:1054
Definition: NvInferRuntime.h:839
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:844
virtual AsciiChar const * getPluginName() const noexcept=0
Return the plugin name. Should match the plugin name returned by the corresponding plugin creator.
Definition: NvInferRuntime.h:1104
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:1109
virtual int32_t onShapeChange(PluginTensorDesc const *in, int32_t nbInputs, PluginTensorDesc const *out, int32_t nbOutputs) noexcept=0
Called when a plugin is being prepared for execution for specific dimensions. This could happen multi...
virtual PluginFieldCollection const * getFieldsToSerialize() noexcept=0
Get the plugin fields which should be serialized.
virtual int32_t setTactic(int32_t tactic) noexcept
Set the tactic to be used in the subsequent call to enqueue(). If no custom tactics were advertised,...
Definition: NvInferRuntime.h:1121
virtual int32_t enqueue(PluginTensorDesc const *inputDesc, PluginTensorDesc const *outputDesc, void const *const *inputs, void *const *outputs, void *workspace, cudaStream_t stream) noexcept=0
Execute the layer.
virtual IPluginV3 * attachToContext(IPluginResourceContext *context) noexcept=0
Clone the plugin, attach the cloned plugin object to a execution context and grant the cloned plugin ...
Definition: NvInferRuntime.h:1292
virtual ~IProfiler() noexcept
Definition: NvInferRuntime.h:1303
virtual void reportLayerTime(char const *layerName, float ms) noexcept=0
Layer time reporting callback.
Definition: NvInferRuntime.h:631
~IStreamReader() override=default
IStreamReader & operator=(IStreamReader const &) &=default
IStreamReader & operator=(IStreamReader &&) &=default
virtual int64_t read(void *destination, int64_t nbBytes)=0
Read the next number of bytes in the stream.
IStreamReader(IStreamReader &&)=default
IStreamReader(IStreamReader const &)=default
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:643
Definition: NvInferRuntime.h:741
IStreamReaderV2 & operator=(IStreamReaderV2 const &) &=default
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:753
IStreamReaderV2(IStreamReaderV2 &&)=default
~IStreamReaderV2() override=default
virtual int64_t read(void *destination, int64_t nbBytes, cudaStream_t stream) noexcept=0
Read the next number of bytes in the stream asynchronously.
IStreamReaderV2(IStreamReaderV2 const &)=default
virtual bool seek(int64_t offset, SeekPosition where) noexcept=0
Sets the position of the stream to the given offset.
IStreamReaderV2 & operator=(IStreamReaderV2 &&) &=default
Definition: NvInferRuntime.h:666
IStreamWriter & operator=(IStreamWriter const &) &=default
IStreamWriter(IStreamWriter &&)=default
virtual int64_t write(void const *data, int64_t nbBytes)=0
write nbBytes of data into the stream.
IStreamWriter(IStreamWriter const &)=default
InterfaceInfo getInterfaceInfo() const noexcept final
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:678
IStreamWriter & operator=(IStreamWriter &&) &=default
~IStreamWriter() override=default
Definition: NvInferRuntime.h:1201
virtual int32_t getAliasedInput(int32_t outputIndex) noexcept
Communicates to TensorRT that the output at the specified output index is aliased to the input at the...
Definition: NvInferRuntime.h:1237
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:1203
IRefitter * createInferRefitter(ICudaEngine &engine, ILogger &logger) noexcept
Create an instance of an IRefitter class.
Definition: NvInferRuntime.h:5437
IRuntime * createInferRuntime(ILogger &logger) noexcept
Create an instance of an IRuntime class.
Definition: NvInferRuntime.h:5426
The TensorRT API version 1 namespace.
uint32_t TacticSources
Represents a collection of one or more TacticSource values combine using bitwise-OR operations.
Definition: NvInferRuntime.h:2961
v_1_0::IOutputAllocator IOutputAllocator
Definition: NvInferRuntime.h:4245
EngineCapability
List of supported engine capability flows.
Definition: NvInferRuntime.h:76
DimensionOperation
An operation on two IDimensionExpr, which represent integer expressions used in dimension computation...
Definition: NvInferRuntime.h:179
@ kSUB
Substract the second element from the first.
@ kSUM
Sum of the two operands.
@ kPROD
Product of the two operands.
@ kFLOOR_DIV
Floor division of the first element by the second.
@ kEQUAL
1 if operands are equal, 0 otherwise.
@ kMIN
Minimum of the two operands.
@ kLESS
1 if first operand is less than second operand, 0 otherwise.
@ kMAX
Maximum of the two operands.
@ kCEIL_DIV
Division rounding up.
v_1_0::IPluginV3OneCore IPluginV3OneCore
Definition: NvInferRuntime.h:1254
TensorIOMode
Definition of tensor IO Mode.
Definition: NvInferRuntimeBase.h:658
HardwareCompatibilityLevel
Describes requirements of compatibility with GPU architectures other than that of the GPU on which th...
Definition: NvInfer.h:9943
SerializationFlag
List of valid flags that the engine can enable when serializing the bytes.
Definition: NvInferRuntime.h:3002
@ kEXCLUDE_WEIGHTS
Exclude the weights that can be refitted.
@ kINCLUDE_REFIT
Remain refittable if originally so.
v_1_0::IStreamWriter IStreamWriter
Definition: NvInferRuntime.h:720
v_1_0::IProfiler IProfiler
Definition: NvInferRuntime.h:1318
SeekPosition
Controls the seek mode of IStreamReaderV2.
Definition: NvInferRuntime.h:727
@ kSET
From the beginning of the file.
@ kCUR
From the current position of the file.
@ kEND
From the tail of the file.
v_1_0::IStreamReaderV2 IStreamReaderV2
Definition: NvInferRuntime.h:797
uint32_t TempfileControlFlags
Represents a collection of one or more TempfileControlFlag values combined using bitwise-OR operation...
Definition: NvInferRuntime.h:1396
EngineStat
The kind of engine statistics that queried from the ICudaEngine.
Definition: NvInferRuntime.h:3170
@ kTOTAL_WEIGHTS_SIZE
Return the total weight size in bytes.
@ kSTRIPPED_WEIGHTS_SIZE
Return the stripped weight size in bytes for engines built with BuilderFlag::kSTRIP_PLAN.
v_1_0::IGpuAllocator IGpuAllocator
Definition: NvInferRuntime.h:1855
constexpr int32_t EnumMax< WeightsRole >() noexcept
Maximum number of elements in WeightsRole enum.
Definition: NvInferRuntime.h:1339
char_t AsciiChar
Definition: NvInferRuntimeBase.h:115
TensorRTPhase
Indicates a phase of operation of TensorRT.
Definition: NvInferPluginBase.h:116
@ kV2_DYNAMICEXT
IPluginV2DynamicExt.
constexpr int32_t EnumMax< EngineStat >() noexcept
Maximum number of engine statistic kinds in EngineStat enum.
Definition: NvInferRuntime.h:3184
constexpr int32_t EnumMax< LayerInformationFormat >() noexcept
Definition: NvInferRuntime.h:5250
DataType
The type of weights and tensors. The datatypes other than kBOOL, kINT32, and kINT64 are "activation d...
Definition: NvInferRuntimeBase.h:145
DeviceType
The device that this layer/network will execute on.
Definition: NvInferRuntime.h:1350
@ kSCALE
Scale layer.
@ kCONSTANT
Constant layer.
v_1_0::IDebugListener IDebugListener
Definition: NvInferRuntime.h:4286
TempfileControlFlag
Flags used to control TensorRT's behavior when creating executable temporary files.
Definition: NvInferRuntime.h:1373
@ kALLOW_IN_MEMORY_FILES
Allow creating and loading files in-memory (or unnamed files).
constexpr int32_t EnumMax< OptProfileSelector >() noexcept
Number of different values of OptProfileSelector enum.
Definition: NvInferRuntime.h:2647
WeightsRole
How a layer uses particular Weights.
Definition: NvInferRuntime.h:1328
@ kSHIFT
shift part of IScaleLayer
@ kANY
Any other weights role.
@ kBIAS
bias for IConvolutionLayer or IDeconvolutionLayer
@ kKERNEL
kernel for IConvolutionLayer or IDeconvolutionLayer
constexpr int32_t EnumMax< ProfilingVerbosity >() noexcept
Maximum number of profile verbosity levels in ProfilingVerbosity enum.
Definition: NvInferRuntime.h:2981
ProfilingVerbosity
List of verbosity levels of layer information exposed in NVTX annotations and in IEngineInspector.
Definition: NvInferRuntime.h:2973
@ kLAYER_NAMES_ONLY
Print only the layer names. This is the default setting.
@ kDETAILED
Print detailed layer information including layer names and layer parameters.
TacticSource
List of tactic sources for TensorRT.
Definition: NvInferRuntime.h:2924
TensorFormat PluginFormat
PluginFormat is reserved for backward compatibility.
Definition: NvInferRuntimePlugin.h:54
v_1_0::IPluginV3OneRuntime IPluginV3OneRuntime
Definition: NvInferRuntime.h:1278
@ kMIN
Minimum of the two elements.
constexpr int32_t EnumMax< TempfileControlFlag >() noexcept
Maximum number of elements in TempfileControlFlag enum.
Definition: NvInferRuntime.h:1385
uint32_t SerializationFlags
Represents one or more SerializationFlag values using binary OR operations, e.g., 1U << Serialization...
Definition: NvInferRuntime.h:2992
@ kLINEAR
Supports linear (1D), bilinear (2D), and trilinear (3D) interpolation.
v_1_0::IPluginV3OneBuild IPluginV3OneBuild
Definition: NvInferRuntime.h:1266
TensorFormat
Format of the input/output tensors.
Definition: NvInferRuntime.h:1430
ExecutionContextAllocationStrategy
Different memory allocation behaviors for IExecutionContext.
Definition: NvInferRuntime.h:3107
@ kSTATIC
Default static allocation with the maximum size across all profiles.
@ kUSER_MANAGED
The user supplies custom allocation to the execution context.
@ kON_PROFILE_CHANGE
Reallocate for a profile when it's selected.
constexpr int32_t EnumMax< TacticSource >() noexcept
Maximum number of tactic sources in TacticSource enum.
Definition: NvInferRuntime.h:2950
LayerInformationFormat
The format in which the IEngineInspector prints the layer information.
Definition: NvInferRuntime.h:5242
@ kJSON
Print layer information in JSON format.
@ kONELINE
Print layer information in one line per layer.
v_1_0::IStreamReader IStreamReader
Definition: NvInferRuntime.h:710
AllocatorFlag
Allowed type of memory allocation.
Definition: NvInferRuntime.h:1554
@ kRESIZABLE
TensorRT may call realloc() on this allocation.
@ kMAX
Maximum over elements.
constexpr int32_t EnumMax< DeviceType >() noexcept
Maximum number of elements in DeviceType enum.
Definition: NvInferRuntime.h:1357
constexpr int32_t EnumMax< DimensionOperation >() noexcept
Maximum number of elements in DimensionOperation enum.
Definition: NvInferRuntime.h:193
constexpr int32_t EnumMax< ExecutionContextAllocationStrategy >() noexcept
Maximum number of memory allocation strategies in ExecutionContextAllocationStrategy enum.
Definition: NvInferRuntime.h:3119
constexpr int32_t EnumMax< SerializationFlag >() noexcept
Maximum number of serialization flags in SerializationFlag enum.
Definition: NvInferRuntime.h:3010
TensorLocation
The location for tensor data storage, device or host.
Definition: NvInferRuntime.h:204
@ kHOST
Data stored on host.
@ kDEVICE
Data stored on device.
OptProfileSelector
When setting or querying optimization profile parameters (such as shape tensor inputs or dynamic dime...
Definition: NvInferRuntime.h:2635
@ kOPT
This is used to set or get the value that is used in the optimization (kernel selection).
uint32_t AllocatorFlags
Definition: NvInferRuntime.h:1570
Summarizes tensors that a plugin might see for an input or output.
Definition: NvInferRuntime.h:362
Dims min
Lower bounds on tensor’s dimensions.
Definition: NvInferRuntime.h:367
Dims max
Upper bounds on tensor’s dimensions.
Definition: NvInferRuntime.h:370
Dims opt
Optimum value of tensor’s dimensions specified for auto-tuning.
Definition: NvInferRuntime.h:373
PluginTensorDesc desc
Information required to interpret a pointer to tensor data, except that desc.dims has -1 in place of ...
Definition: NvInferRuntime.h:364
Plugin field collection struct.
Definition: NvInferPluginBase.h:103
Fields that a plugin might see for an input or output.
Definition: NvInferRuntimePlugin.h:73
Declaration of EnumMaxImpl struct to store maximum number of elements in an enumeration type.
Definition: NvInferRuntimeBase.h:128

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