18#ifndef NV_INFER_RUNTIME_H
19#define NV_INFER_RUNTIME_H
28#define NV_INFER_INTERNAL_INCLUDE 1
30#undef NV_INFER_INTERNAL_INCLUDE
36class IExecutionContext;
39class IEngineInspector;
105 static constexpr int32_t kVALUE = 3;
149 return mImpl->data();
153 std::size_t
size() const noexcept
155 return mImpl->size();
161 return mImpl->type();
215 static constexpr int32_t kVALUE = 2;
239 return mImpl->isConstant();
250 return mImpl->getConstantValue();
265 return mImpl->isSizeTensor();
294 return mImpl->constant(value);
306 return mImpl->operation(op, first, second);
340 return mImpl->declareSizeTensor(outputIndex, opt, upper);
436 int32_t outputIndex,
DimsExprs const* inputs, int32_t nbInputs,
IExprBuilder& exprBuilder) noexcept = 0;
441 static constexpr int32_t kFORMAT_COMBINATION_LIMIT = 100;
475 virtual
bool supportsFormatCombination(
476 int32_t pos,
PluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept = 0;
528 int32_t nbOutputs) const noexcept = 0;
543 void const* const* inputs,
void* const* outputs,
void* workspace, cudaStream_t stream) noexcept = 0;
553 int32_t getTensorRTVersion() const noexcept
override
567 bool const*,
PluginFormat, int32_t)
noexcept override final
582 Dims getOutputDimensions(int32_t,
Dims const*, int32_t)
noexcept override final
594 TRT_DEPRECATED bool isOutputBroadcastAcrossBatch(int32_t,
bool const*, int32_t)
const noexcept override final
606 TRT_DEPRECATED bool canBroadcastInputAcrossBatch(int32_t)
const noexcept override final
614 size_t getWorkspaceSize(int32_t)
const noexcept override final
622 int32_t enqueue(int32_t,
void const*
const*,
void*
const*,
void*, cudaStream_t)
noexcept override final
656 virtual int64_t
read(
void* destination, int64_t nbBytes) = 0;
692 virtual int64_t
write(
void const* data, int64_t nbBytes) = 0;
768 virtual int64_t
read(
void* destination, int64_t nbBytes, cudaStream_t stream)
noexcept = 0;
867 virtual
AsciiChar const* getPluginVersion() const noexcept = 0;
878 virtual
AsciiChar const* getPluginNamespace() const noexcept = 0;
889 static constexpr int32_t kDEFAULT_FORMAT_COMBINATION_LIMIT = 100;
938 DataType* outputTypes, int32_t nbOutputs,
const DataType* inputTypes, int32_t nbInputs)
const noexcept = 0;
962 int32_t nbShapeInputs,
DimsExprs* outputs, int32_t nbOutputs,
IExprBuilder& exprBuilder)
noexcept = 0;
1088 return kDEFAULT_FORMAT_COMBINATION_LIMIT;
1161 void const*
const* inputs,
void*
const* outputs,
void* workspace, cudaStream_t stream)
noexcept = 0;
1544 static constexpr int32_t kVALUE = 13;
1566 static constexpr int32_t kVALUE = 1;
1648 static constexpr int32_t kVALUE = 5;
1683 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags)
noexcept = 0;
1725 virtual void*
reallocate(
void*
const , uint64_t , uint64_t )
noexcept
1779 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags, cudaStream_t )
noexcept
1781 return allocate(size, alignment, flags);
1813 return deallocate(memory);
1821 return {
"IGpuAllocator", 1, 0};
1880 void setDLACore(int32_t dlaCore) noexcept
1882 mImpl->setDLACore(dlaCore);
1892 return mImpl->getDLACore();
1900 return mImpl->getNbDLACores();
1916 mImpl->setGpuAllocator(allocator);
1935 mImpl->setErrorRecorder(recorder);
1950 return mImpl->getErrorRecorder();
1968 return mImpl->deserializeCudaEngine(blob, size);
1992 return mImpl->deserializeCudaEngine(streamReader);
2015 return mImpl->deserializeCudaEngineV2(streamReader);
2025 return mImpl->getLogger();
2040 return mImpl->setMaxThreads(maxThreads);
2054 return mImpl->getMaxThreads();
2089 return mImpl->setTemporaryDirectory(path);
2100 return mImpl->getTemporaryDirectory();
2116 return mImpl->setTempfileControlFlags(flags);
2128 return mImpl->getTempfileControlFlags();
2138 return mImpl->getPluginRegistry();
2168 return mImpl->setEngineHostCodeAllowed(allowed);
2178 return mImpl->getEngineHostCodeAllowed();
2214 return mImpl->setWeights(layerName, role, weights);
2231 return mImpl->refitCudaEngine();
2252 return mImpl->getMissing(size, layerNames, roles);
2269 return mImpl->getAll(size, layerNames, roles);
2291 return mImpl->setDynamicRange(tensorName, min, max);
2307 return mImpl->getDynamicRangeMin(tensorName);
2323 return mImpl->getDynamicRangeMax(tensorName);
2341 return mImpl->getTensorsWithDynamicRange(size, tensorNames);
2360 mImpl->setErrorRecorder(recorder);
2375 return mImpl->getErrorRecorder();
2400 return mImpl->setNamedWeights(name, weights);
2420 return mImpl->getMissingWeights(size, weightsNames);
2436 return mImpl->getAllWeights(size, weightsNames);
2446 return mImpl->getLogger();
2462 return mImpl->setMaxThreads(maxThreads);
2476 return mImpl->getMaxThreads();
2503 return mImpl->setNamedWeightsWithLocation(name, weights, location);
2519 return mImpl->getNamedWeights(weightsName);
2535 return mImpl->getWeightsLocation(weightsName);
2551 return mImpl->unsetNamedWeights(weightsName);
2567 return mImpl->setWeightsValidation(weightsValidation);
2575 return mImpl->getWeightsValidation();
2597 return mImpl->refitCudaEngineAsync(stream);
2615 return mImpl->getWeightsPrototype(weightsName);
2704 return mImpl->setDimensions(inputName, select, dims);
2716 return mImpl->getDimensions(inputName, select);
2767 char const* inputName,
OptProfileSelector select, int32_t
const* values, int32_t nbValues)
noexcept
2769 return mImpl->setShapeValues(inputName, select, values, nbValues);
2782 return mImpl->getNbShapeValues(inputName);
2796 return mImpl->getShapeValues(inputName, select);
2814 return mImpl->setExtraMemoryTarget(target);
2826 return mImpl->getExtraMemoryTarget();
2843 return mImpl->isValid();
2892 char const* inputName,
OptProfileSelector select, int64_t
const* values, int32_t nbValues)
noexcept
2894 return mImpl->setShapeValuesV2(inputName, select, values, nbValues);
2906 return mImpl->getShapeValuesV2(inputName, select);
3037 return mImpl->setFlags(serializationFlags);
3049 return mImpl->getFlags();
3061 return mImpl->clearFlag(serializationFlag);
3073 return mImpl->setFlag(serializationFlag);
3085 return mImpl->getFlag(serializationFlag);
3140 return mImpl->setExecutionContextAllocationStrategy(strategy);
3150 return mImpl->getExecutionContextAllocationStrategy();
3180 Dims getTensorShape(
char const* tensorName) const noexcept
3182 return mImpl->getTensorShape(tensorName);
3197 return mImpl->getTensorDataType(tensorName);
3211 return mImpl->getNbLayers();
3225 return mImpl->serialize();
3243 return mImpl->createExecutionContext(strategy);
3260 return mImpl->getTensorLocation(tensorName);
3280 return mImpl->isShapeInferenceIO(tensorName);
3294 return mImpl->getTensorIOMode(tensorName);
3306 return mImpl->createExecutionContextWithoutDeviceMemory();
3318 return mImpl->createExecutionContextWithRuntimeConfig(runtimeConfig);
3331 return mImpl->createRuntimeConfig();
3343 return mImpl->getDeviceMemorySize();
3355 return mImpl->getDeviceMemorySizeForProfile(profileIndex);
3371 return mImpl->getDeviceMemorySizeV2();
3387 return mImpl->getDeviceMemorySizeForProfileV2(profileIndex);
3397 return mImpl->isRefittable();
3418 return mImpl->getTensorBytesPerComponent(tensorName);
3436 return mImpl->getTensorBytesPerComponentV2(tensorName, profileIndex);
3457 return mImpl->getTensorComponentsPerElement(tensorName);
3475 return mImpl->getTensorComponentsPerElementV2(tensorName, profileIndex);
3490 return mImpl->getTensorFormat(tensorName);
3504 return mImpl->getTensorFormatV2(tensorName, profileIndex);
3528 return mImpl->getTensorFormatDesc(tensorName);
3551 return mImpl->getTensorFormatDescV2(tensorName, profileIndex);
3568 return mImpl->getTensorVectorizedDim(tensorName);
3584 return mImpl->getTensorVectorizedDimV2(tensorName, profileIndex);
3599 return mImpl->getName();
3610 return mImpl->getNbOptimizationProfiles();
3630 return mImpl->getProfileShape(tensorName, profileIndex, select);
3654 char const* tensorName, int32_t profileIndex,
OptProfileSelector select)
const noexcept
3656 return mImpl->getProfileTensorValues(tensorName, profileIndex, select);
3671 return mImpl->getEngineCapability();
3690 return mImpl->setErrorRecorder(recorder);
3705 return mImpl->getErrorRecorder();
3719 return mImpl->hasImplicitBatchDimension();
3735 return mImpl->getTacticSources();
3747 return mImpl->getProfilingVerbosity();
3757 return mImpl->createEngineInspector();
3770 return mImpl->getNbIOTensors();
3782 return mImpl->getIOTensorName(index);
3793 return mImpl->getHardwareCompatibilityLevel();
3808 return mImpl->getNbAuxStreams();
3818 return mImpl->createSerializationConfig();
3834 return mImpl->serializeWithConfig(config);
3879 return mImpl->setWeightStreamingBudget(gpuMemoryBudget);
3899 return mImpl->getWeightStreamingBudget();
3922 return mImpl->getMinimumWeightStreamingBudget();
3938 return mImpl->getStreamableWeightsSize();
3980 return mImpl->setWeightStreamingBudgetV2(gpuMemoryBudget);
3998 return mImpl->getWeightStreamingBudgetV2();
4023 return mImpl->getWeightStreamingAutomaticBudget();
4051 return mImpl->getWeightStreamingScratchMemorySize();
4065 return mImpl->isDebugTensor(name);
4088 char const* tensorName, int32_t profileIndex,
OptProfileSelector select)
const noexcept
4090 return mImpl->getProfileTensorValuesV2(tensorName, profileIndex, select);
4107 return {
"IOutputAllocator", 1, 0};
4130 char const* tensorName,
void* currentMemory, uint64_t size, uint64_t alignment)
noexcept
4158 char const* tensorName,
void* currentMemory, uint64_t size, uint64_t alignment, cudaStream_t )
4160 return reallocateOutput(tensorName, currentMemory, size, alignment);
4194 return {
"IDebugListener", 1, 0};
4211 char const* name, cudaStream_t stream)
4248 void setDebugSync(
bool sync) noexcept
4250 mImpl->setDebugSync(sync);
4260 return mImpl->getDebugSync();
4270 mImpl->setProfiler(profiler);
4280 return mImpl->getProfiler();
4290 return mImpl->getEngine();
4304 mImpl->setName(name);
4314 return mImpl->getName();
4341 mImpl->setDeviceMemory(memory);
4363 return mImpl->setDeviceMemoryV2(memory, size);
4384 return mImpl->getTensorStrides(tensorName);
4399 return mImpl->getOptimizationProfile();
4417 return mImpl->setInputShape(tensorName, dims);
4454 return mImpl->getTensorShape(tensorName);
4470 return mImpl->allInputDimensionsSpecified();
4487 return mImpl->allInputShapesSpecified();
4506 mImpl->setErrorRecorder(recorder);
4521 return mImpl->getErrorRecorder();
4538 return mImpl->executeV2(bindings);
4582 return mImpl->setOptimizationProfileAsync(profileIndex, stream);
4598 mImpl->setEnqueueEmitsProfile(enqueueEmitsProfile);
4610 return mImpl->getEnqueueEmitsProfile();
4640 return mImpl->reportToProfiler();
4684 return mImpl->setTensorAddress(tensorName, data);
4701 return mImpl->getTensorAddress(tensorName);
4724 return mImpl->setOutputTensorAddress(tensorName, data);
4746 return mImpl->setInputTensorAddress(tensorName, data);
4765 return mImpl->getOutputTensorAddress(tensorName);
4796 int32_t
inferShapes(int32_t nbMaxNames,
char const** tensorNames)
noexcept
4798 return mImpl->inferShapes(nbMaxNames, tensorNames);
4815 return mImpl->updateDeviceMemorySizeForShapes();
4831 return mImpl->setInputConsumedEvent(event);
4841 return mImpl->getInputConsumedEvent();
4860 return mImpl->setOutputAllocator(tensorName, outputAllocator);
4873 return mImpl->getOutputAllocator(tensorName);
4891 return mImpl->getMaxOutputSize(tensorName);
4911 return mImpl->setTemporaryStorageAllocator(allocator);
4921 return mImpl->getTemporaryStorageAllocator();
4945 return mImpl->enqueueV3(stream);
4961 mImpl->setPersistentCacheLimit(size);
4972 return mImpl->getPersistentCacheLimit();
4996 return mImpl->setNvtxVerbosity(verbosity);
5008 return mImpl->getNvtxVerbosity();
5039 mImpl->setAuxStreams(auxStreams, nbStreams);
5051 return mImpl->setDebugListener(listener);
5061 return mImpl->getDebugListener();
5080 return mImpl->setTensorDebugState(name, flag);
5092 return mImpl->getDebugState(name);
5102 return mImpl->getRuntimeConfig();
5115 return mImpl->setAllTensorsDebugState(flag);
5131 return mImpl->setUnfusedTensorsDebugState(flag);
5141 return mImpl->getUnfusedTensorsDebugState();
5203 return mImpl->setExecutionContext(context);
5215 return mImpl->getExecutionContext();
5240 return mImpl->getLayerInformation(layerIndex, format);
5263 return mImpl->getEngineInformation(format);
5282 mImpl->setErrorRecorder(recorder);
5297 return mImpl->getErrorRecorder();
5310extern "C" TENSORRTAPI void* createInferRuntime_INTERNAL(
void* logger, int32_t version)
noexcept;
5316extern "C" TENSORRTAPI void* createInferRefitter_INTERNAL(
void* engine,
void* logger, int32_t version)
noexcept;
5369template <
typename T>
5385#define REGISTER_TENSORRT_PLUGIN(name) \
5386 static nvinfer1::PluginRegistrar<name> pluginRegistrar##name {}
5455 cudaStream_t )
noexcept override = 0;
5508 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags)
noexcept override
5510 return allocateAsync(size, alignment, flags,
nullptr);
5533 return deallocateAsync(memory,
nullptr);
5541 return {
"IGpuAllocator", 1, 0};
5589 virtual
AsciiChar const* getPluginName() const noexcept = 0;
5597 virtual
AsciiChar const* getPluginVersion() const noexcept = 0;
5605 virtual
AsciiChar const* getPluginNamespace() const noexcept = 0;
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...
IGpuAsyncAllocator()=default
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()=default
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
@ 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
@ kEDGE_MASK_CONVOLUTIONS
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