TensorRT 10.13.2
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"
28#define NV_INFER_INTERNAL_INCLUDE 1
29#include "NvInferPluginBase.h" // IWYU pragma: exports
30#undef NV_INFER_INTERNAL_INCLUDE
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
1864class IRuntime : public INoCopy
1865{
1866public:
1867 virtual ~IRuntime() noexcept = default;
1868
1880 void setDLACore(int32_t dlaCore) noexcept
1881 {
1882 mImpl->setDLACore(dlaCore);
1883 }
1884
1890 int32_t getDLACore() const noexcept
1891 {
1892 return mImpl->getDLACore();
1893 }
1894
1898 int32_t getNbDLACores() const noexcept
1899 {
1900 return mImpl->getNbDLACores();
1901 }
1902
1914 void setGpuAllocator(IGpuAllocator* allocator) noexcept
1915 {
1916 mImpl->setGpuAllocator(allocator);
1917 }
1918
1930 //
1933 void setErrorRecorder(IErrorRecorder* recorder) noexcept
1934 {
1935 mImpl->setErrorRecorder(recorder);
1936 }
1937
1949 {
1950 return mImpl->getErrorRecorder();
1951 }
1952
1966 ICudaEngine* deserializeCudaEngine(void const* blob, std::size_t size) noexcept
1967 {
1968 return mImpl->deserializeCudaEngine(blob, size);
1969 }
1970
1991 {
1992 return mImpl->deserializeCudaEngine(streamReader);
1993 }
1994
2014 {
2015 return mImpl->deserializeCudaEngineV2(streamReader);
2016 }
2017
2023 ILogger* getLogger() const noexcept
2024 {
2025 return mImpl->getLogger();
2026 }
2027
2038 bool setMaxThreads(int32_t maxThreads) noexcept
2039 {
2040 return mImpl->setMaxThreads(maxThreads);
2041 }
2042
2052 int32_t getMaxThreads() const noexcept
2053 {
2054 return mImpl->getMaxThreads();
2055 }
2056
2087 void setTemporaryDirectory(char const* path) noexcept
2088 {
2089 return mImpl->setTemporaryDirectory(path);
2090 }
2091
2098 char const* getTemporaryDirectory() const noexcept
2099 {
2100 return mImpl->getTemporaryDirectory();
2101 }
2102
2115 {
2116 return mImpl->setTempfileControlFlags(flags);
2117 }
2118
2127 {
2128 return mImpl->getTempfileControlFlags();
2129 }
2130
2137 {
2138 return mImpl->getPluginRegistry();
2139 }
2140
2154 IRuntime* loadRuntime(char const* path) noexcept
2155 {
2156 return mImpl->loadRuntime(path);
2157 }
2158
2166 void setEngineHostCodeAllowed(bool allowed) noexcept
2167 {
2168 return mImpl->setEngineHostCodeAllowed(allowed);
2169 }
2170
2176 bool getEngineHostCodeAllowed() const noexcept
2177 {
2178 return mImpl->getEngineHostCodeAllowed();
2179 }
2180
2181protected:
2182 apiv::VRuntime* mImpl;
2183};
2184
2192class IRefitter : public INoCopy
2193{
2194public:
2195 virtual ~IRefitter() noexcept = default;
2196
2212 bool setWeights(char const* layerName, WeightsRole role, Weights weights) noexcept
2213 {
2214 return mImpl->setWeights(layerName, role, weights);
2215 }
2216
2229 bool refitCudaEngine() noexcept
2230 {
2231 return mImpl->refitCudaEngine();
2232 }
2233
2250 int32_t getMissing(int32_t size, char const** layerNames, WeightsRole* roles) noexcept
2251 {
2252 return mImpl->getMissing(size, layerNames, roles);
2253 }
2254
2267 int32_t getAll(int32_t size, char const** layerNames, WeightsRole* roles) noexcept
2268 {
2269 return mImpl->getAll(size, layerNames, roles);
2270 }
2271
2289 TRT_DEPRECATED bool setDynamicRange(char const* tensorName, float min, float max) noexcept
2290 {
2291 return mImpl->setDynamicRange(tensorName, min, max);
2292 }
2293
2305 TRT_DEPRECATED float getDynamicRangeMin(char const* tensorName) const noexcept
2306 {
2307 return mImpl->getDynamicRangeMin(tensorName);
2308 }
2309
2321 TRT_DEPRECATED float getDynamicRangeMax(char const* tensorName) const noexcept
2322 {
2323 return mImpl->getDynamicRangeMax(tensorName);
2324 }
2325
2339 TRT_DEPRECATED int32_t getTensorsWithDynamicRange(int32_t size, char const** tensorNames) const noexcept
2340 {
2341 return mImpl->getTensorsWithDynamicRange(size, tensorNames);
2342 }
2343
2355 //
2358 void setErrorRecorder(IErrorRecorder* recorder) noexcept
2359 {
2360 mImpl->setErrorRecorder(recorder);
2361 }
2362
2374 {
2375 return mImpl->getErrorRecorder();
2376 }
2377
2398 bool setNamedWeights(char const* name, Weights weights) noexcept
2399 {
2400 return mImpl->setNamedWeights(name, weights);
2401 }
2402
2418 int32_t getMissingWeights(int32_t size, char const** weightsNames) noexcept
2419 {
2420 return mImpl->getMissingWeights(size, weightsNames);
2421 }
2422
2434 int32_t getAllWeights(int32_t size, char const** weightsNames) noexcept
2435 {
2436 return mImpl->getAllWeights(size, weightsNames);
2437 }
2438
2444 ILogger* getLogger() const noexcept
2445 {
2446 return mImpl->getLogger();
2447 }
2448
2460 bool setMaxThreads(int32_t maxThreads) noexcept
2461 {
2462 return mImpl->setMaxThreads(maxThreads);
2463 }
2464
2474 int32_t getMaxThreads() const noexcept
2475 {
2476 return mImpl->getMaxThreads();
2477 }
2478
2501 bool setNamedWeights(char const* name, Weights weights, TensorLocation location) noexcept
2502 {
2503 return mImpl->setNamedWeightsWithLocation(name, weights, location);
2504 }
2505
2517 Weights getNamedWeights(char const* weightsName) const noexcept
2518 {
2519 return mImpl->getNamedWeights(weightsName);
2520 }
2521
2533 TensorLocation getWeightsLocation(char const* weightsName) const noexcept
2534 {
2535 return mImpl->getWeightsLocation(weightsName);
2536 }
2537
2549 bool unsetNamedWeights(char const* weightsName) noexcept
2550 {
2551 return mImpl->unsetNamedWeights(weightsName);
2552 }
2553
2565 void setWeightsValidation(bool weightsValidation) noexcept
2566 {
2567 return mImpl->setWeightsValidation(weightsValidation);
2568 }
2569
2573 bool getWeightsValidation() const noexcept
2574 {
2575 return mImpl->getWeightsValidation();
2576 }
2577
2595 bool refitCudaEngineAsync(cudaStream_t stream) noexcept
2596 {
2597 return mImpl->refitCudaEngineAsync(stream);
2598 }
2599
2613 Weights getWeightsPrototype(char const* weightsName) const noexcept
2614 {
2615 return mImpl->getWeightsPrototype(weightsName);
2616 }
2617
2618protected:
2619 apiv::VRefitter* mImpl;
2620};
2621
2632enum class OptProfileSelector : int32_t
2633{
2634 kMIN = 0,
2635 kOPT = 1,
2636 kMAX = 2
2637};
2638
2644template <>
2645constexpr inline int32_t EnumMax<OptProfileSelector>() noexcept
2646{
2647 return 3;
2648}
2649
2673{
2674public:
2702 bool setDimensions(char const* inputName, OptProfileSelector select, Dims const& dims) noexcept
2703 {
2704 return mImpl->setDimensions(inputName, select, dims);
2705 }
2706
2714 Dims getDimensions(char const* inputName, OptProfileSelector select) const noexcept
2715 {
2716 return mImpl->getDimensions(inputName, select);
2717 }
2718
2767 char const* inputName, OptProfileSelector select, int32_t const* values, int32_t nbValues) noexcept
2768 {
2769 return mImpl->setShapeValues(inputName, select, values, nbValues);
2770 }
2771
2780 int32_t getNbShapeValues(char const* inputName) const noexcept
2781 {
2782 return mImpl->getNbShapeValues(inputName);
2783 }
2784
2794 TRT_DEPRECATED int32_t const* getShapeValues(char const* inputName, OptProfileSelector select) const noexcept
2795 {
2796 return mImpl->getShapeValues(inputName, select);
2797 }
2798
2812 bool setExtraMemoryTarget(float target) noexcept
2813 {
2814 return mImpl->setExtraMemoryTarget(target);
2815 }
2816
2824 float getExtraMemoryTarget() const noexcept
2825 {
2826 return mImpl->getExtraMemoryTarget();
2827 }
2828
2841 bool isValid() const noexcept
2842 {
2843 return mImpl->isValid();
2844 }
2845
2892 char const* inputName, OptProfileSelector select, int64_t const* values, int32_t nbValues) noexcept
2893 {
2894 return mImpl->setShapeValuesV2(inputName, select, values, nbValues);
2895 }
2896
2904 int64_t const* getShapeValuesV2(char const* inputName, OptProfileSelector select) const noexcept
2905 {
2906 return mImpl->getShapeValuesV2(inputName, select);
2907 }
2908
2909protected:
2910 apiv::VOptimizationProfile* mImpl;
2911 virtual ~IOptimizationProfile() noexcept = default;
2912};
2913
2921enum class TacticSource : int32_t
2922{
2927
2931
2936
2941
2945};
2946
2947template <>
2948constexpr inline int32_t EnumMax<TacticSource>() noexcept
2949{
2950 return 5;
2951}
2952
2959using TacticSources = uint32_t;
2960
2970enum class ProfilingVerbosity : int32_t
2971{
2972 kLAYER_NAMES_ONLY = 0,
2973 kNONE = 1,
2974 kDETAILED = 2,
2975};
2976
2978template <>
2979constexpr inline int32_t EnumMax<ProfilingVerbosity>() noexcept
2980{
2981 return 3;
2982}
2983
2990using SerializationFlags = uint32_t;
2991
2999enum class SerializationFlag : int32_t
3000{
3001 kEXCLUDE_WEIGHTS = 0,
3003};
3004
3006template <>
3007constexpr inline int32_t EnumMax<SerializationFlag>() noexcept
3008{
3009 return 2;
3010}
3011
3020{
3021public:
3022 virtual ~ISerializationConfig() noexcept = default;
3023
3035 bool setFlags(SerializationFlags serializationFlags) noexcept
3036 {
3037 return mImpl->setFlags(serializationFlags);
3038 }
3039
3048 {
3049 return mImpl->getFlags();
3050 }
3051
3059 bool clearFlag(SerializationFlag serializationFlag) noexcept
3060 {
3061 return mImpl->clearFlag(serializationFlag);
3062 }
3063
3071 bool setFlag(SerializationFlag serializationFlag) noexcept
3072 {
3073 return mImpl->setFlag(serializationFlag);
3074 }
3075
3083 bool getFlag(SerializationFlag serializationFlag) const noexcept
3084 {
3085 return mImpl->getFlag(serializationFlag);
3086 }
3087
3088protected:
3089 apiv::VSerializationConfig* mImpl;
3090};
3091
3104{
3105 kSTATIC = 0,
3106 kON_PROFILE_CHANGE = 1,
3107 kUSER_MANAGED = 2,
3108};
3109
3115template <>
3116constexpr inline int32_t EnumMax<ExecutionContextAllocationStrategy>() noexcept
3117{
3118 return 3;
3119}
3120
3121
3129{
3130public:
3131 virtual ~IRuntimeConfig() noexcept = default;
3132
3138 void setExecutionContextAllocationStrategy(ExecutionContextAllocationStrategy strategy) noexcept
3139 {
3140 return mImpl->setExecutionContextAllocationStrategy(strategy);
3141 }
3142
3149 {
3150 return mImpl->getExecutionContextAllocationStrategy();
3151 }
3152
3153
3154protected:
3155 apiv::VRuntimeConfig* mImpl;
3156}; // class IRuntimeConfig
3157
3165class ICudaEngine : public INoCopy
3166{
3167public:
3168 virtual ~ICudaEngine() noexcept = default;
3169
3180 Dims getTensorShape(char const* tensorName) const noexcept
3181 {
3182 return mImpl->getTensorShape(tensorName);
3183 }
3184
3195 DataType getTensorDataType(char const* tensorName) const noexcept
3196 {
3197 return mImpl->getTensorDataType(tensorName);
3198 }
3199
3209 int32_t getNbLayers() const noexcept
3210 {
3211 return mImpl->getNbLayers();
3212 }
3213
3223 IHostMemory* serialize() const noexcept
3224 {
3225 return mImpl->serialize();
3226 }
3227
3242 {
3243 return mImpl->createExecutionContext(strategy);
3244 }
3245
3258 TensorLocation getTensorLocation(char const* tensorName) const noexcept
3259 {
3260 return mImpl->getTensorLocation(tensorName);
3261 }
3262
3278 bool isShapeInferenceIO(char const* tensorName) const noexcept
3279 {
3280 return mImpl->isShapeInferenceIO(tensorName);
3281 }
3282
3292 TensorIOMode getTensorIOMode(char const* tensorName) const noexcept
3293 {
3294 return mImpl->getTensorIOMode(tensorName);
3295 }
3296
3305 {
3306 return mImpl->createExecutionContextWithoutDeviceMemory();
3307 }
3308
3317 {
3318 return mImpl->createExecutionContextWithRuntimeConfig(runtimeConfig);
3319 }
3320
3330 {
3331 return mImpl->createRuntimeConfig();
3332 }
3333
3341 TRT_DEPRECATED size_t getDeviceMemorySize() const noexcept
3342 {
3343 return mImpl->getDeviceMemorySize();
3344 }
3345
3353 TRT_DEPRECATED size_t getDeviceMemorySizeForProfile(int32_t profileIndex) const noexcept
3354 {
3355 return mImpl->getDeviceMemorySizeForProfile(profileIndex);
3356 }
3357
3369 int64_t getDeviceMemorySizeV2() const noexcept
3370 {
3371 return mImpl->getDeviceMemorySizeV2();
3372 }
3373
3385 int64_t getDeviceMemorySizeForProfileV2(int32_t profileIndex) const noexcept
3386 {
3387 return mImpl->getDeviceMemorySizeForProfileV2(profileIndex);
3388 }
3389
3395 bool isRefittable() const noexcept
3396 {
3397 return mImpl->isRefittable();
3398 }
3399
3416 int32_t getTensorBytesPerComponent(char const* tensorName) const noexcept
3417 {
3418 return mImpl->getTensorBytesPerComponent(tensorName);
3419 }
3420
3434 int32_t getTensorBytesPerComponent(char const* tensorName, int32_t profileIndex) const noexcept
3435 {
3436 return mImpl->getTensorBytesPerComponentV2(tensorName, profileIndex);
3437 }
3438
3455 int32_t getTensorComponentsPerElement(char const* tensorName) const noexcept
3456 {
3457 return mImpl->getTensorComponentsPerElement(tensorName);
3458 }
3459
3473 int32_t getTensorComponentsPerElement(char const* tensorName, int32_t profileIndex) const noexcept
3474 {
3475 return mImpl->getTensorComponentsPerElementV2(tensorName, profileIndex);
3476 }
3477
3488 TensorFormat getTensorFormat(char const* tensorName) const noexcept
3489 {
3490 return mImpl->getTensorFormat(tensorName);
3491 }
3492
3502 TensorFormat getTensorFormat(char const* tensorName, int32_t profileIndex) const noexcept
3503 {
3504 return mImpl->getTensorFormatV2(tensorName, profileIndex);
3505 }
3506
3526 char const* getTensorFormatDesc(char const* tensorName) const noexcept
3527 {
3528 return mImpl->getTensorFormatDesc(tensorName);
3529 }
3530
3549 char const* getTensorFormatDesc(char const* tensorName, int32_t profileIndex) const noexcept
3550 {
3551 return mImpl->getTensorFormatDescV2(tensorName, profileIndex);
3552 }
3553
3566 int32_t getTensorVectorizedDim(char const* tensorName) const noexcept
3567 {
3568 return mImpl->getTensorVectorizedDim(tensorName);
3569 }
3570
3582 int32_t getTensorVectorizedDim(char const* tensorName, int32_t profileIndex) const noexcept
3583 {
3584 return mImpl->getTensorVectorizedDimV2(tensorName, profileIndex);
3585 }
3586
3597 char const* getName() const noexcept
3598 {
3599 return mImpl->getName();
3600 }
3601
3608 int32_t getNbOptimizationProfiles() const noexcept
3609 {
3610 return mImpl->getNbOptimizationProfiles();
3611 }
3612
3628 Dims getProfileShape(char const* tensorName, int32_t profileIndex, OptProfileSelector select) const noexcept
3629 {
3630 return mImpl->getProfileShape(tensorName, profileIndex, select);
3631 }
3632
3654 char const* tensorName, int32_t profileIndex, OptProfileSelector select) const noexcept
3655 {
3656 return mImpl->getProfileTensorValues(tensorName, profileIndex, select);
3657 }
3658
3670 {
3671 return mImpl->getEngineCapability();
3672 }
3673
3688 void setErrorRecorder(IErrorRecorder* recorder) noexcept
3689 {
3690 return mImpl->setErrorRecorder(recorder);
3691 }
3692
3704 {
3705 return mImpl->getErrorRecorder();
3706 }
3707
3718 {
3719 return mImpl->hasImplicitBatchDimension();
3720 }
3721
3734 {
3735 return mImpl->getTacticSources();
3736 }
3737
3746 {
3747 return mImpl->getProfilingVerbosity();
3748 }
3749
3756 {
3757 return mImpl->createEngineInspector();
3758 }
3759
3768 int32_t getNbIOTensors() const noexcept
3769 {
3770 return mImpl->getNbIOTensors();
3771 }
3772
3780 char const* getIOTensorName(int32_t index) const noexcept
3781 {
3782 return mImpl->getIOTensorName(index);
3783 }
3784
3792 {
3793 return mImpl->getHardwareCompatibilityLevel();
3794 }
3795
3806 int32_t getNbAuxStreams() const noexcept
3807 {
3808 return mImpl->getNbAuxStreams();
3809 }
3810
3817 {
3818 return mImpl->createSerializationConfig();
3819 }
3820
3833 {
3834 return mImpl->serializeWithConfig(config);
3835 }
3836
3877 TRT_DEPRECATED bool setWeightStreamingBudget(int64_t gpuMemoryBudget) noexcept
3878 {
3879 return mImpl->setWeightStreamingBudget(gpuMemoryBudget);
3880 }
3881
3898 {
3899 return mImpl->getWeightStreamingBudget();
3900 }
3901
3921 {
3922 return mImpl->getMinimumWeightStreamingBudget();
3923 }
3924
3936 int64_t getStreamableWeightsSize() const noexcept
3937 {
3938 return mImpl->getStreamableWeightsSize();
3939 }
3940
3978 bool setWeightStreamingBudgetV2(int64_t gpuMemoryBudget) noexcept
3979 {
3980 return mImpl->setWeightStreamingBudgetV2(gpuMemoryBudget);
3981 }
3982
3996 int64_t getWeightStreamingBudgetV2() const noexcept
3997 {
3998 return mImpl->getWeightStreamingBudgetV2();
3999 }
4000
4021 int64_t getWeightStreamingAutomaticBudget() const noexcept
4022 {
4023 return mImpl->getWeightStreamingAutomaticBudget();
4024 }
4025
4050 {
4051 return mImpl->getWeightStreamingScratchMemorySize();
4052 }
4053
4063 bool isDebugTensor(char const* name) const noexcept
4064 {
4065 return mImpl->isDebugTensor(name);
4066 }
4067
4088 char const* tensorName, int32_t profileIndex, OptProfileSelector select) const noexcept
4089 {
4090 return mImpl->getProfileTensorValuesV2(tensorName, profileIndex, select);
4091 }
4092
4093protected:
4094 apiv::VCudaEngine* mImpl;
4095};
4096
4097namespace v_1_0
4098{
4100{
4101public:
4105 InterfaceInfo getInterfaceInfo() const noexcept override
4106 {
4107 return {"IOutputAllocator", 1, 0};
4108 }
4109
4130 char const* tensorName, void* currentMemory, uint64_t size, uint64_t alignment) noexcept
4131 {
4132 return nullptr;
4133 }
4134
4158 char const* tensorName, void* currentMemory, uint64_t size, uint64_t alignment, cudaStream_t /*stream*/)
4159 {
4160 return reallocateOutput(tensorName, currentMemory, size, alignment);
4161 }
4162
4171 virtual void notifyShape(char const* tensorName, Dims const& dims) noexcept = 0;
4172};
4173} // namespace v_1_0
4174
4183
4184namespace v_1_0
4185{
4187{
4188public:
4192 InterfaceInfo getInterfaceInfo() const noexcept override
4193 {
4194 return {"IDebugListener", 1, 0};
4195 }
4196
4210 virtual bool processDebugTensor(void const* addr, TensorLocation location, DataType type, Dims const& shape,
4211 char const* name, cudaStream_t stream)
4212 = 0;
4213
4214 ~IDebugListener() override = default;
4215};
4216} // namespace v_1_0
4217
4224
4236{
4237public:
4238 virtual ~IExecutionContext() noexcept = default;
4239
4248 void setDebugSync(bool sync) noexcept
4249 {
4250 mImpl->setDebugSync(sync);
4251 }
4252
4258 bool getDebugSync() const noexcept
4259 {
4260 return mImpl->getDebugSync();
4261 }
4262
4268 void setProfiler(IProfiler* profiler) noexcept
4269 {
4270 mImpl->setProfiler(profiler);
4271 }
4272
4278 IProfiler* getProfiler() const noexcept
4279 {
4280 return mImpl->getProfiler();
4281 }
4282
4288 ICudaEngine const& getEngine() const noexcept
4289 {
4290 return mImpl->getEngine();
4291 }
4292
4302 void setName(char const* name) noexcept
4303 {
4304 mImpl->setName(name);
4305 }
4306
4312 char const* getName() const noexcept
4313 {
4314 return mImpl->getName();
4315 }
4316
4339 void setDeviceMemory(void* memory) noexcept
4340 {
4341 mImpl->setDeviceMemory(memory);
4342 }
4343
4361 void setDeviceMemoryV2(void* memory, int64_t size) noexcept
4362 {
4363 return mImpl->setDeviceMemoryV2(memory, size);
4364 }
4365
4382 Dims getTensorStrides(char const* tensorName) const noexcept
4383 {
4384 return mImpl->getTensorStrides(tensorName);
4385 }
4386
4387public:
4397 int32_t getOptimizationProfile() const noexcept
4398 {
4399 return mImpl->getOptimizationProfile();
4400 }
4401
4415 bool setInputShape(char const* tensorName, Dims const& dims) noexcept
4416 {
4417 return mImpl->setInputShape(tensorName, dims);
4418 }
4419
4452 Dims getTensorShape(char const* tensorName) const noexcept
4453 {
4454 return mImpl->getTensorShape(tensorName);
4455 }
4456
4468 bool allInputDimensionsSpecified() const noexcept
4469 {
4470 return mImpl->allInputDimensionsSpecified();
4471 }
4472
4486 {
4487 return mImpl->allInputShapesSpecified();
4488 }
4489
4504 void setErrorRecorder(IErrorRecorder* recorder) noexcept
4505 {
4506 mImpl->setErrorRecorder(recorder);
4507 }
4508
4520 {
4521 return mImpl->getErrorRecorder();
4522 }
4523
4536 bool executeV2(void* const* bindings) noexcept
4537 {
4538 return mImpl->executeV2(bindings);
4539 }
4540
4580 bool setOptimizationProfileAsync(int32_t profileIndex, cudaStream_t stream) noexcept
4581 {
4582 return mImpl->setOptimizationProfileAsync(profileIndex, stream);
4583 }
4584
4596 void setEnqueueEmitsProfile(bool enqueueEmitsProfile) noexcept
4597 {
4598 mImpl->setEnqueueEmitsProfile(enqueueEmitsProfile);
4599 }
4600
4608 bool getEnqueueEmitsProfile() const noexcept
4609 {
4610 return mImpl->getEnqueueEmitsProfile();
4611 }
4612
4638 bool reportToProfiler() const noexcept
4639 {
4640 return mImpl->reportToProfiler();
4641 }
4642
4682 bool setTensorAddress(char const* tensorName, void* data) noexcept
4683 {
4684 return mImpl->setTensorAddress(tensorName, data);
4685 }
4686
4699 void const* getTensorAddress(char const* tensorName) const noexcept
4700 {
4701 return mImpl->getTensorAddress(tensorName);
4702 }
4703
4722 bool setOutputTensorAddress(char const* tensorName, void* data) noexcept
4723 {
4724 return mImpl->setOutputTensorAddress(tensorName, data);
4725 }
4726
4744 bool setInputTensorAddress(char const* tensorName, void const* data) noexcept
4745 {
4746 return mImpl->setInputTensorAddress(tensorName, data);
4747 }
4748
4763 void* getOutputTensorAddress(char const* tensorName) const noexcept
4764 {
4765 return mImpl->getOutputTensorAddress(tensorName);
4766 }
4767
4796 int32_t inferShapes(int32_t nbMaxNames, char const** tensorNames) noexcept
4797 {
4798 return mImpl->inferShapes(nbMaxNames, tensorNames);
4799 }
4800
4814 {
4815 return mImpl->updateDeviceMemorySizeForShapes();
4816 }
4817
4829 bool setInputConsumedEvent(cudaEvent_t event) noexcept
4830 {
4831 return mImpl->setInputConsumedEvent(event);
4832 }
4833
4839 cudaEvent_t getInputConsumedEvent() const noexcept
4840 {
4841 return mImpl->getInputConsumedEvent();
4842 }
4843
4858 bool setOutputAllocator(char const* tensorName, IOutputAllocator* outputAllocator) noexcept
4859 {
4860 return mImpl->setOutputAllocator(tensorName, outputAllocator);
4861 }
4862
4871 IOutputAllocator* getOutputAllocator(char const* tensorName) const noexcept
4872 {
4873 return mImpl->getOutputAllocator(tensorName);
4874 }
4875
4889 int64_t getMaxOutputSize(char const* tensorName) const noexcept
4890 {
4891 return mImpl->getMaxOutputSize(tensorName);
4892 }
4893
4910 {
4911 return mImpl->setTemporaryStorageAllocator(allocator);
4912 }
4913
4920 {
4921 return mImpl->getTemporaryStorageAllocator();
4922 }
4923
4943 bool enqueueV3(cudaStream_t stream) noexcept
4944 {
4945 return mImpl->enqueueV3(stream);
4946 }
4947
4959 void setPersistentCacheLimit(size_t size) noexcept
4960 {
4961 mImpl->setPersistentCacheLimit(size);
4962 }
4963
4970 size_t getPersistentCacheLimit() const noexcept
4971 {
4972 return mImpl->getPersistentCacheLimit();
4973 }
4974
4994 bool setNvtxVerbosity(ProfilingVerbosity verbosity) noexcept
4995 {
4996 return mImpl->setNvtxVerbosity(verbosity);
4997 }
4998
5007 {
5008 return mImpl->getNvtxVerbosity();
5009 }
5010
5037 void setAuxStreams(cudaStream_t* auxStreams, int32_t nbStreams) noexcept
5038 {
5039 mImpl->setAuxStreams(auxStreams, nbStreams);
5040 }
5041
5049 bool setDebugListener(IDebugListener* listener) noexcept
5050 {
5051 return mImpl->setDebugListener(listener);
5052 }
5053
5060 {
5061 return mImpl->getDebugListener();
5062 }
5063
5078 bool setTensorDebugState(char const* name, bool flag) noexcept
5079 {
5080 return mImpl->setTensorDebugState(name, flag);
5081 }
5082
5090 bool getDebugState(char const* name) const noexcept
5091 {
5092 return mImpl->getDebugState(name);
5093 }
5094
5101 {
5102 return mImpl->getRuntimeConfig();
5103 }
5104
5113 bool setAllTensorsDebugState(bool flag) noexcept
5114 {
5115 return mImpl->setAllTensorsDebugState(flag);
5116 }
5117
5129 bool setUnfusedTensorsDebugState(bool flag) noexcept
5130 {
5131 return mImpl->setUnfusedTensorsDebugState(flag);
5132 }
5133
5139 bool getUnfusedTensorsDebugState() const noexcept
5140 {
5141 return mImpl->getUnfusedTensorsDebugState();
5142 }
5143
5144protected:
5145 apiv::VExecutionContext* mImpl;
5146}; // class IExecutionContext
5147
5155enum class LayerInformationFormat : int32_t
5156{
5157 kONELINE = 0,
5158 kJSON = 1,
5159};
5160
5163template <>
5164constexpr inline int32_t EnumMax<LayerInformationFormat>() noexcept
5165{
5166 return 2;
5167}
5168
5185{
5186public:
5187 virtual ~IEngineInspector() noexcept = default;
5188
5201 bool setExecutionContext(IExecutionContext const* context) noexcept
5202 {
5203 return mImpl->setExecutionContext(context);
5204 }
5205
5214 {
5215 return mImpl->getExecutionContext();
5216 }
5217
5238 char const* getLayerInformation(int32_t layerIndex, LayerInformationFormat format) const noexcept
5239 {
5240 return mImpl->getLayerInformation(layerIndex, format);
5241 }
5242
5261 char const* getEngineInformation(LayerInformationFormat format) const noexcept
5262 {
5263 return mImpl->getEngineInformation(format);
5264 }
5265
5280 void setErrorRecorder(IErrorRecorder* recorder) noexcept
5281 {
5282 mImpl->setErrorRecorder(recorder);
5283 }
5284
5296 {
5297 return mImpl->getErrorRecorder();
5298 }
5299
5300protected:
5301 apiv::VEngineInspector* mImpl;
5302}; // class IEngineInspector
5303
5304} // namespace nvinfer1
5305
5310extern "C" TENSORRTAPI void* createInferRuntime_INTERNAL(void* logger, int32_t version) noexcept;
5311
5316extern "C" TENSORRTAPI void* createInferRefitter_INTERNAL(void* engine, void* logger, int32_t version) noexcept;
5317
5322
5328extern "C" TENSORRTAPI nvinfer1::ILogger* getLogger() noexcept;
5329
5330namespace nvinfer1
5331{
5332namespace // unnamed namespace avoids linkage surprises when linking objects built with different versions of this
5333 // header.
5334{
5340inline IRuntime* createInferRuntime(ILogger& logger) noexcept
5341{
5342 return static_cast<IRuntime*>(createInferRuntime_INTERNAL(&logger, NV_TENSORRT_VERSION));
5343}
5344
5351inline IRefitter* createInferRefitter(ICudaEngine& engine, ILogger& logger) noexcept
5352{
5353 return static_cast<IRefitter*>(createInferRefitter_INTERNAL(&engine, &logger, NV_TENSORRT_VERSION));
5354}
5355
5356} // namespace
5357
5369template <typename T>
5371{
5372public:
5374 {
5375 getPluginRegistry()->registerCreator(instance, "");
5376 }
5377
5378private:
5380 T instance{};
5381};
5382
5383} // namespace nvinfer1
5384
5385#define REGISTER_TENSORRT_PLUGIN(name) \
5386 static nvinfer1::PluginRegistrar<name> pluginRegistrar##name {}
5387
5388namespace nvinfer1
5389{
5399{
5400public:
5408 virtual ILogger* findLogger() = 0;
5409
5410protected:
5411 virtual ~ILoggerFinder() = default;
5412};
5413
5416namespace v_1_0
5417{
5418
5420{
5421public:
5423 ~IGpuAsyncAllocator() override = default;
5424
5454 void* allocateAsync(uint64_t const size, uint64_t const alignment, AllocatorFlags const flags,
5455 cudaStream_t /*stream*/) noexcept override = 0;
5456
5482 bool deallocateAsync(void* const memory, cudaStream_t /*stream*/) noexcept override = 0;
5483
5508 uint64_t const size, uint64_t const alignment, AllocatorFlags const flags) noexcept override
5509 {
5510 return allocateAsync(size, alignment, flags, nullptr);
5511 }
5512
5531 TRT_DEPRECATED bool deallocate(void* const memory) noexcept override
5532 {
5533 return deallocateAsync(memory, nullptr);
5534 }
5535
5539 InterfaceInfo getInterfaceInfo() const noexcept override
5540 {
5541 return {"IGpuAllocator", 1, 0};
5542 }
5543};
5544
5546{
5547public:
5551 InterfaceInfo getInterfaceInfo() const noexcept override
5552 {
5553 return InterfaceInfo{"PLUGIN CREATOR_V3ONE", 1, 0};
5554 }
5555
5573 AsciiChar const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept = 0;
5574
5581 virtual PluginFieldCollection const* getFieldNames() noexcept = 0;
5582
5589 virtual AsciiChar const* getPluginName() const noexcept = 0;
5590
5597 virtual AsciiChar const* getPluginVersion() const noexcept = 0;
5598
5605 virtual AsciiChar const* getPluginNamespace() const noexcept = 0;
5606
5608 virtual ~IPluginCreatorV3One() = default;
5609
5610protected:
5613 IPluginCreatorV3One& operator=(IPluginCreatorV3One const&) & = default;
5614 IPluginCreatorV3One& operator=(IPluginCreatorV3One&&) & = default;
5615};
5616
5617} // namespace v_1_0
5618
5633
5643
5644} // namespace nvinfer1
5645
5649extern "C" TENSORRTAPI int32_t getInferLibMajorVersion() noexcept;
5653extern "C" TENSORRTAPI int32_t getInferLibMinorVersion() noexcept;
5657extern "C" TENSORRTAPI int32_t getInferLibPatchVersion() noexcept;
5661extern "C" TENSORRTAPI int32_t getInferLibBuildVersion() noexcept;
5662
5663#endif // NV_INFER_RUNTIME_H
nvinfer1::ILogger * getLogger() noexcept
Return the logger object.
int32_t getInferLibMajorVersion() noexcept
Return the library major version number.
nvinfer1::IPluginRegistry * getPluginRegistry() noexcept
Return the plugin registry.
int32_t getInferLibPatchVersion() noexcept
Return the library patch version number.
int32_t getInferLibMinorVersion() noexcept
Return the library minor version number.
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:216
static constexpr int32_t MAX_DIMS
The maximum rank (number of dimensions) supported for a tensor.
Definition: NvInferRuntimeBase.h:219
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:3166
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:3416
ISerializationConfig * createSerializationConfig() noexcept
Create a serialization configuration object.
Definition: NvInferRuntime.h:3816
TRT_DEPRECATED int64_t getWeightStreamingBudget() const noexcept
Returns the current weight streaming device memory budget in bytes.
Definition: NvInferRuntime.h:3897
char const * getIOTensorName(int32_t index) const noexcept
Return name of an IO tensor.
Definition: NvInferRuntime.h:3780
int64_t getWeightStreamingBudgetV2() const noexcept
Returns the current weight streaming device memory budget in bytes.
Definition: NvInferRuntime.h:3996
EngineCapability getEngineCapability() const noexcept
Determine what execution capability this engine has.
Definition: NvInferRuntime.h:3669
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:3703
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:3502
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:4087
TRT_DEPRECATED bool hasImplicitBatchDimension() const noexcept
Query whether the engine was built with an implicit batch dimension.
Definition: NvInferRuntime.h:3717
apiv::VCudaEngine * mImpl
Definition: NvInferRuntime.h:4094
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:3353
IExecutionContext * createExecutionContext(ExecutionContextAllocationStrategy strategy=ExecutionContextAllocationStrategy::kSTATIC) noexcept
Create an execution context and specify the strategy for allocating internal activation memory.
Definition: NvInferRuntime.h:3240
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:3526
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:3628
bool setWeightStreamingBudgetV2(int64_t gpuMemoryBudget) noexcept
Limit the maximum amount of GPU memory usable for network weights in bytes.
Definition: NvInferRuntime.h:3978
IExecutionContext * createExecutionContext(IRuntimeConfig *runtimeConfig) noexcept
Create an execution context with TensorRT JIT runtime config.
Definition: NvInferRuntime.h:3316
int32_t getNbAuxStreams() const noexcept
Return the number of auxiliary streams used by this engine.
Definition: NvInferRuntime.h:3806
int64_t getStreamableWeightsSize() const noexcept
Get the total size in bytes of all streamable weights.
Definition: NvInferRuntime.h:3936
DataType getTensorDataType(char const *tensorName) const noexcept
Determine the required data type for a buffer from its tensor name.
Definition: NvInferRuntime.h:3195
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:3688
TacticSources getTacticSources() const noexcept
return the tactic sources required by this engine.
Definition: NvInferRuntime.h:3733
IHostMemory * serializeWithConfig(ISerializationConfig &config) const noexcept
Serialize the network to a stream with the provided SerializationConfig.
Definition: NvInferRuntime.h:3832
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:4021
bool isDebugTensor(char const *name) const noexcept
Check if a tensor is marked as a debug tensor.
Definition: NvInferRuntime.h:4063
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:3582
char const * getName() const noexcept
Returns the name of the network associated with the engine.
Definition: NvInferRuntime.h:3597
ProfilingVerbosity getProfilingVerbosity() const noexcept
Return the ProfilingVerbosity the builder config was set to when the engine was built.
Definition: NvInferRuntime.h:3745
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:3278
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:3653
int64_t getWeightStreamingScratchMemorySize() const noexcept
Returns the size of the scratch memory required by the current weight streaming budget.
Definition: NvInferRuntime.h:4049
TRT_DEPRECATED bool setWeightStreamingBudget(int64_t gpuMemoryBudget) noexcept
Limit the maximum amount of GPU memory usable for network weights in bytes.
Definition: NvInferRuntime.h:3877
int64_t getDeviceMemorySizeV2() const noexcept
Return the maximum device memory required by the context over all profiles.
Definition: NvInferRuntime.h:3369
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:3566
TRT_DEPRECATED size_t getDeviceMemorySize() const noexcept
Return the maximum device memory required by the context over all profiles.
Definition: NvInferRuntime.h:3341
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:3473
int64_t getDeviceMemorySizeForProfileV2(int32_t profileIndex) const noexcept
Return the maximum device memory required by the context for a profile.
Definition: NvInferRuntime.h:3385
IRuntimeConfig * createRuntimeConfig() noexcept
Create a runtime config for TensorRT JIT. The caller is responsible for ownership of the returned IRu...
Definition: NvInferRuntime.h:3329
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:3488
IHostMemory * serialize() const noexcept
Serialize the network to a stream.
Definition: NvInferRuntime.h:3223
TensorLocation getTensorLocation(char const *tensorName) const noexcept
Get whether an input or output tensor must be on GPU or CPU.
Definition: NvInferRuntime.h:3258
IEngineInspector * createEngineInspector() const noexcept
Create a new engine inspector which prints the layer information in an engine or an execution context...
Definition: NvInferRuntime.h:3755
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:3434
HardwareCompatibilityLevel getHardwareCompatibilityLevel() const noexcept
Return the hardware compatibility level of this engine.
Definition: NvInferRuntime.h:3791
int32_t getNbOptimizationProfiles() const noexcept
Get the number of optimization profiles defined for this engine.
Definition: NvInferRuntime.h:3608
TRT_DEPRECATED IExecutionContext * createExecutionContextWithoutDeviceMemory() noexcept
create an execution context without any device memory allocated
Definition: NvInferRuntime.h:3304
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:3549
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:3920
TensorIOMode getTensorIOMode(char const *tensorName) const noexcept
Determine whether a tensor is an input or output tensor.
Definition: NvInferRuntime.h:3292
int32_t getNbLayers() const noexcept
Get the number of layers in the network.
Definition: NvInferRuntime.h:3209
int32_t getNbIOTensors() const noexcept
Return number of IO tensors.
Definition: NvInferRuntime.h:3768
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:3455
bool isRefittable() const noexcept
Return true if an engine can be refit.
Definition: NvInferRuntime.h:3395
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:5185
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:5238
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:5295
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:5280
IExecutionContext const * getExecutionContext() const noexcept
Get the context currently being inspected.
Definition: NvInferRuntime.h:5213
apiv::VEngineInspector * mImpl
Definition: NvInferRuntime.h:5301
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:5261
Context for executing inference using an engine, with functionally unsafe features.
Definition: NvInferRuntime.h:4236
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:4871
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:4519
bool reportToProfiler() const noexcept
Calculate layer timing info for the current optimization profile in IExecutionContext and update the ...
Definition: NvInferRuntime.h:4638
virtual ~IExecutionContext() noexcept=default
void setDeviceMemory(void *memory) noexcept
Set the device memory for use by this execution context.
Definition: NvInferRuntime.h:4339
TRT_DEPRECATED bool allInputShapesSpecified() const noexcept
Whether all input shape bindings have been specified.
Definition: NvInferRuntime.h:4485
bool setTensorDebugState(char const *name, bool flag) noexcept
Set debug state of tensor given the tensor name.
Definition: NvInferRuntime.h:5078
char const * getName() const noexcept
Return the name of the execution context.
Definition: NvInferRuntime.h:4312
IGpuAllocator * getTemporaryStorageAllocator() const noexcept
Get allocator set by setTemporaryStorageAllocator.
Definition: NvInferRuntime.h:4919
void setEnqueueEmitsProfile(bool enqueueEmitsProfile) noexcept
Set whether enqueue emits layer timing to the profiler.
Definition: NvInferRuntime.h:4596
bool setUnfusedTensorsDebugState(bool flag) noexcept
Turn the debug state of unfused tensors on or off.
Definition: NvInferRuntime.h:5129
Dims getTensorShape(char const *tensorName) const noexcept
Return the shape of the given input or output.
Definition: NvInferRuntime.h:4452
bool getDebugState(char const *name) const noexcept
Get the debug state.
Definition: NvInferRuntime.h:5090
bool setInputShape(char const *tensorName, Dims const &dims) noexcept
Set shape of given input.
Definition: NvInferRuntime.h:4415
bool executeV2(void *const *bindings) noexcept
Synchronously execute a network.
Definition: NvInferRuntime.h:4536
bool getEnqueueEmitsProfile() const noexcept
Get the enqueueEmitsProfile state.
Definition: NvInferRuntime.h:4608
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:4699
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:4858
bool setOptimizationProfileAsync(int32_t profileIndex, cudaStream_t stream) noexcept
Select an optimization profile for the current context with async semantics.
Definition: NvInferRuntime.h:4580
apiv::VExecutionContext * mImpl
Definition: NvInferRuntime.h:5145
bool setOutputTensorAddress(char const *tensorName, void *data) noexcept
Set the memory address for a given output tensor.
Definition: NvInferRuntime.h:4722
void setPersistentCacheLimit(size_t size) noexcept
Set the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:4959
size_t getPersistentCacheLimit() const noexcept
Get the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:4970
bool setAllTensorsDebugState(bool flag) noexcept
Turn the debug state of all debug tensors on or off.
Definition: NvInferRuntime.h:5113
ICudaEngine const & getEngine() const noexcept
Get the associated engine.
Definition: NvInferRuntime.h:4288
ProfilingVerbosity getNvtxVerbosity() const noexcept
Get the NVTX verbosity of the execution context.
Definition: NvInferRuntime.h:5006
size_t updateDeviceMemorySizeForShapes() noexcept
Recompute the internal activation buffer sizes based on the current input shapes, and return the tota...
Definition: NvInferRuntime.h:4813
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:5037
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:4889
int32_t inferShapes(int32_t nbMaxNames, char const **tensorNames) noexcept
Run shape calculations.
Definition: NvInferRuntime.h:4796
bool setDebugListener(IDebugListener *listener) noexcept
Set DebugListener for this execution context.
Definition: NvInferRuntime.h:5049
bool setTensorAddress(char const *tensorName, void *data) noexcept
Set memory address for given input or output tensor.
Definition: NvInferRuntime.h:4682
bool setTemporaryStorageAllocator(IGpuAllocator *allocator) noexcept
Specify allocator to use for internal temporary storage.
Definition: NvInferRuntime.h:4909
void * getOutputTensorAddress(char const *tensorName) const noexcept
Get memory address for given output.
Definition: NvInferRuntime.h:4763
bool enqueueV3(cudaStream_t stream) noexcept
Enqueue inference on a stream.
Definition: NvInferRuntime.h:4943
IDebugListener * getDebugListener() noexcept
Get the DebugListener of this execution context.
Definition: NvInferRuntime.h:5059
int32_t getOptimizationProfile() const noexcept
Get the index of the currently selected optimization profile.
Definition: NvInferRuntime.h:4397
bool setInputTensorAddress(char const *tensorName, void const *data) noexcept
Set memory address for given input.
Definition: NvInferRuntime.h:4744
bool getDebugSync() const noexcept
Get the debug sync flag.
Definition: NvInferRuntime.h:4258
bool setInputConsumedEvent(cudaEvent_t event) noexcept
Mark input as consumed.
Definition: NvInferRuntime.h:4829
Dims getTensorStrides(char const *tensorName) const noexcept
Return the strides of the buffer for the given tensor name.
Definition: NvInferRuntime.h:4382
bool setNvtxVerbosity(ProfilingVerbosity verbosity) noexcept
Set the verbosity of the NVTX markers in the execution context.
Definition: NvInferRuntime.h:4994
IProfiler * getProfiler() const noexcept
Get the profiler.
Definition: NvInferRuntime.h:4278
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:4504
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:4361
bool allInputDimensionsSpecified() const noexcept
Whether all dynamic dimensions of input tensors have been specified.
Definition: NvInferRuntime.h:4468
bool getUnfusedTensorsDebugState() const noexcept
Get the debug state of unfused tensors.
Definition: NvInferRuntime.h:5139
void setProfiler(IProfiler *profiler) noexcept
Set the profiler.
Definition: NvInferRuntime.h:4268
void setName(char const *name) noexcept
Set the name of the execution context.
Definition: NvInferRuntime.h:4302
cudaEvent_t getInputConsumedEvent() const noexcept
The event associated with consuming the input.
Definition: NvInferRuntime.h:4839
IRuntimeConfig * getRuntimeConfig() const noexcept
Get the runtime config object used during execution context creation.
Definition: NvInferRuntime.h:5100
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:5399
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:2673
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:2794
apiv::VOptimizationProfile * mImpl
Definition: NvInferRuntime.h:2910
Dims getDimensions(char const *inputName, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum dimensions for a dynamic input tensor.
Definition: NvInferRuntime.h:2714
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:2766
virtual ~IOptimizationProfile() noexcept=default
float getExtraMemoryTarget() const noexcept
Get the extra memory target that has been defined for this profile.
Definition: NvInferRuntime.h:2824
bool setExtraMemoryTarget(float target) noexcept
Set a target for extra GPU memory that may be used by this profile.
Definition: NvInferRuntime.h:2812
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:2702
bool isValid() const noexcept
Check whether the optimization profile can be passed to an IBuilderConfig object.
Definition: NvInferRuntime.h:2841
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:2904
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:2891
int32_t getNbShapeValues(char const *inputName) const noexcept
Get the number of values for an input shape tensor.
Definition: NvInferRuntime.h:2780
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:2193
bool refitCudaEngineAsync(cudaStream_t stream) noexcept
Enqueue weights refitting of the associated engine on the given stream.
Definition: NvInferRuntime.h:2595
int32_t getMaxThreads() const noexcept
get the maximum number of threads that can be used by the refitter.
Definition: NvInferRuntime.h:2474
TensorLocation getWeightsLocation(char const *weightsName) const noexcept
Get location for the weights associated with the given name.
Definition: NvInferRuntime.h:2533
bool setNamedWeights(char const *name, Weights weights) noexcept
Specify new weights of given name.
Definition: NvInferRuntime.h:2398
int32_t getAllWeights(int32_t size, char const **weightsNames) noexcept
Get names of all weights that could be refit.
Definition: NvInferRuntime.h:2434
ILogger * getLogger() const noexcept
get the logger with which the refitter was created
Definition: NvInferRuntime.h:2444
bool refitCudaEngine() noexcept
Refits associated engine.
Definition: NvInferRuntime.h:2229
int32_t getMissingWeights(int32_t size, char const **weightsNames) noexcept
Get names of missing weights.
Definition: NvInferRuntime.h:2418
TRT_DEPRECATED float getDynamicRangeMax(char const *tensorName) const noexcept
Get maximum of dynamic range.
Definition: NvInferRuntime.h:2321
int32_t getMissing(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of missing weights.
Definition: NvInferRuntime.h:2250
Weights getNamedWeights(char const *weightsName) const noexcept
Get weights associated with the given name.
Definition: NvInferRuntime.h:2517
bool unsetNamedWeights(char const *weightsName) noexcept
Unset weights associated with the given name.
Definition: NvInferRuntime.h:2549
Weights getWeightsPrototype(char const *weightsName) const noexcept
Get the Weights prototype associated with the given name.
Definition: NvInferRuntime.h:2613
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:2460
TRT_DEPRECATED float getDynamicRangeMin(char const *tensorName) const noexcept
Get minimum of dynamic range.
Definition: NvInferRuntime.h:2305
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:2339
bool setNamedWeights(char const *name, Weights weights, TensorLocation location) noexcept
Specify new weights on a specified device of given name.
Definition: NvInferRuntime.h:2501
void setWeightsValidation(bool weightsValidation) noexcept
Set whether to validate weights during refitting.
Definition: NvInferRuntime.h:2565
TRT_DEPRECATED bool setDynamicRange(char const *tensorName, float min, float max) noexcept
Definition: NvInferRuntime.h:2289
apiv::VRefitter * mImpl
Definition: NvInferRuntime.h:2619
int32_t getAll(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of all weights that could be refit.
Definition: NvInferRuntime.h:2267
virtual ~IRefitter() noexcept=default
bool getWeightsValidation() const noexcept
Get whether to validate weights values during refitting.
Definition: NvInferRuntime.h:2573
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:2358
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:2373
A class for runtime configuration. This class is used during execution context creation.
Definition: NvInferRuntime.h:3129
virtual ~IRuntimeConfig() noexcept=default
apiv::VRuntimeConfig * mImpl
Definition: NvInferRuntime.h:3155
ExecutionContextAllocationStrategy getExecutionContextAllocationStrategy() const noexcept
Get the execution context allocation strategy.
Definition: NvInferRuntime.h:3148
Allows a serialized functionally unsafe engine to be deserialized.
Definition: NvInferRuntime.h:1865
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:2038
IRuntime * loadRuntime(char const *path) noexcept
Load IRuntime from the file.
Definition: NvInferRuntime.h:2154
bool getEngineHostCodeAllowed() const noexcept
Get whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:2176
TempfileControlFlags getTempfileControlFlags() const noexcept
Get the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:2126
void setEngineHostCodeAllowed(bool allowed) noexcept
Set whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:2166
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:2087
IPluginRegistry & getPluginRegistry() noexcept
Get the local plugin registry that can be used by the runtime.
Definition: NvInferRuntime.h:2136
apiv::VRuntime * mImpl
Definition: NvInferRuntime.h:2182
int32_t getNbDLACores() const noexcept
Returns number of DLA hardware cores accessible or 0 if DLA is unavailable.
Definition: NvInferRuntime.h:1898
ICudaEngine * deserializeCudaEngine(void const *blob, std::size_t size) noexcept
Deserialize an engine from host memory.
Definition: NvInferRuntime.h:1966
void setTempfileControlFlags(TempfileControlFlags flags) noexcept
Set the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:2114
int32_t getDLACore() const noexcept
Get the DLA core that the engine executes on.
Definition: NvInferRuntime.h:1890
void setGpuAllocator(IGpuAllocator *allocator) noexcept
Set the GPU allocator.
Definition: NvInferRuntime.h:1914
IErrorRecorder * getErrorRecorder() const noexcept
get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:1948
ICudaEngine * deserializeCudaEngine(IStreamReaderV2 &streamReader)
Deserialize an engine from a stream. IStreamReaderV2 is expected to support reading to both host and ...
Definition: NvInferRuntime.h:2013
ILogger * getLogger() const noexcept
get the logger with which the runtime was created
Definition: NvInferRuntime.h:2023
int32_t getMaxThreads() const noexcept
Get the maximum number of threads that can be used by the runtime.
Definition: NvInferRuntime.h:2052
char const * getTemporaryDirectory() const noexcept
Get the directory that will be used by this runtime for temporary files.
Definition: NvInferRuntime.h:2098
TRT_DEPRECATED ICudaEngine * deserializeCudaEngine(IStreamReader &streamReader)
Deserialize an engine from a stream.
Definition: NvInferRuntime.h:1990
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:1933
Holds properties for configuring an engine to serialize the binary.
Definition: NvInferRuntime.h:3020
virtual ~ISerializationConfig() noexcept=default
bool clearFlag(SerializationFlag serializationFlag) noexcept
clear a serialization flag.
Definition: NvInferRuntime.h:3059
bool setFlag(SerializationFlag serializationFlag) noexcept
Set a serialization flag.
Definition: NvInferRuntime.h:3071
SerializationFlags getFlags() const noexcept
Get the serialization flags for this config.
Definition: NvInferRuntime.h:3047
bool getFlag(SerializationFlag serializationFlag) const noexcept
Returns true if the serialization flag is set.
Definition: NvInferRuntime.h:3083
apiv::VSerializationConfig * mImpl
Definition: NvInferRuntime.h:3089
An Interface class for version control.
Definition: NvInferRuntimeBase.h:276
Version information associated with a TRT interface.
Definition: NvInferRuntimeBase.h:241
Register the plugin creator to the registry The static registry object will be instantiated when the ...
Definition: NvInferRuntime.h:5371
PluginRegistrar()
Definition: NvInferRuntime.h:5373
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:4187
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:4192
~IDebugListener() override=default
Definition: NvInferRuntimeBase.h:413
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:5420
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:5507
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:5531
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:5539
~IGpuAsyncAllocator() override=default
Definition: NvInferRuntime.h:4100
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:4105
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:4157
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:4129
Definition: NvInferPluginBase.h:141
Definition: NvInferPluginBase.h:193
Definition: NvInferRuntime.h:5546
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:5551
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:5351
IRuntime * createInferRuntime(ILogger &logger) noexcept
Create an instance of an IRuntime class.
Definition: NvInferRuntime.h:5340
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:2959
v_1_0::IOutputAllocator IOutputAllocator
Definition: NvInferRuntime.h:4182
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:656
HardwareCompatibilityLevel
Describes requirements of compatibility with GPU architectures other than that of the GPU on which th...
Definition: NvInfer.h:9324
SerializationFlag
List of valid flags that the engine can enable when serializing the bytes.
Definition: NvInferRuntime.h:3000
@ kEXCLUDE_WEIGHTS
Exclude the weights that can be refitted.
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
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< LayerInformationFormat >() noexcept
Definition: NvInferRuntime.h:5164
DataType
The type of weights and tensors.
Definition: NvInferRuntimeBase.h:143
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:4223
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:2645
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:2979
ProfilingVerbosity
List of verbosity levels of layer information exposed in NVTX annotations and in IEngineInspector.
Definition: NvInferRuntime.h:2971
@ 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:2922
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:2990
@ 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:3104
@ 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:2948
LayerInformationFormat
The format in which the IEngineInspector prints the layer information.
Definition: NvInferRuntime.h:5156
@ 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:3116
constexpr int32_t EnumMax< SerializationFlag >() noexcept
Maximum number of serialization flags in SerializationFlag enum.
Definition: NvInferRuntime.h:3007
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:2633
@ 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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