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 static constexpr int32_t kVALUE = 3;
1936 void setDLACore(int32_t dlaCore) noexcept
1938 mImpl->setDLACore(dlaCore);
1948 return mImpl->getDLACore();
1956 return mImpl->getNbDLACores();
1972 mImpl->setGpuAllocator(allocator);
1991 mImpl->setErrorRecorder(recorder);
2006 return mImpl->getErrorRecorder();
2024 return mImpl->deserializeCudaEngine(blob, size);
2047 return mImpl->deserializeCudaEngineV2(streamReader);
2057 return mImpl->getLogger();
2072 return mImpl->setMaxThreads(maxThreads);
2086 return mImpl->getMaxThreads();
2121 return mImpl->setTemporaryDirectory(path);
2132 return mImpl->getTemporaryDirectory();
2148 return mImpl->setTempfileControlFlags(flags);
2160 return mImpl->getTempfileControlFlags();
2170 return mImpl->getPluginRegistry();
2200 return mImpl->setEngineHostCodeAllowed(allowed);
2210 return mImpl->getEngineHostCodeAllowed();
2221 return mImpl->getEngineHeaderSize();
2248 return mImpl->getEngineValidity(blob, blobSize, diagnostics);
2285 return mImpl->setWeights(layerName, role, weights);
2302 return mImpl->refitCudaEngine();
2323 return mImpl->getMissing(size, layerNames, roles);
2340 return mImpl->getAll(size, layerNames, roles);
2359 mImpl->setErrorRecorder(recorder);
2374 return mImpl->getErrorRecorder();
2399 return mImpl->setNamedWeights(name, weights);
2419 return mImpl->getMissingWeights(size, weightsNames);
2435 return mImpl->getAllWeights(size, weightsNames);
2445 return mImpl->getLogger();
2461 return mImpl->setMaxThreads(maxThreads);
2475 return mImpl->getMaxThreads();
2502 return mImpl->setNamedWeightsWithLocation(name, weights, location);
2518 return mImpl->getNamedWeights(weightsName);
2534 return mImpl->getWeightsLocation(weightsName);
2550 return mImpl->unsetNamedWeights(weightsName);
2566 return mImpl->setWeightsValidation(weightsValidation);
2574 return mImpl->getWeightsValidation();
2596 return mImpl->refitCudaEngineAsync(stream);
2614 return mImpl->getWeightsPrototype(weightsName);
2703 return mImpl->setDimensions(inputName, select, dims);
2715 return mImpl->getDimensions(inputName, select);
2766 char const* inputName,
OptProfileSelector select, int32_t
const* values, int32_t nbValues)
noexcept
2768 return mImpl->setShapeValues(inputName, select, values, nbValues);
2781 return mImpl->getNbShapeValues(inputName);
2795 return mImpl->getShapeValues(inputName, select);
2813 return mImpl->setExtraMemoryTarget(target);
2825 return mImpl->getExtraMemoryTarget();
2842 return mImpl->isValid();
2891 char const* inputName,
OptProfileSelector select, int64_t
const* values, int32_t nbValues)
noexcept
2893 return mImpl->setShapeValuesV2(inputName, select, values, nbValues);
2905 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->serialize();
3151 return mImpl->deserialize(blob, size);
3159 return mImpl->reset();
3263 return mImpl->setExecutionContextAllocationStrategy(strategy);
3273 return mImpl->getExecutionContextAllocationStrategy();
3283 return mImpl->createRuntimeCache();
3293 return mImpl->setRuntimeCache(cache);
3303 return mImpl->getRuntimeCache();
3314 return mImpl->setDynamicShapesKernelSpecializationStrategy(dynamicShapesKernelSpecializationStrategy);
3324 return mImpl->getDynamicShapesKernelSpecializationStrategy();
3348 return mImpl->setCudaGraphStrategy(strategy);
3358 return mImpl->getCudaGraphStrategy();
3415 Dims getTensorShape(
char const* tensorName) const noexcept
3417 return mImpl->getTensorShape(tensorName);
3432 return mImpl->getTensorDataType(tensorName);
3446 return mImpl->getNbLayers();
3460 return mImpl->serialize();
3478 return mImpl->createExecutionContext(strategy);
3495 return mImpl->getTensorLocation(tensorName);
3515 return mImpl->isShapeInferenceIO(tensorName);
3529 return mImpl->getTensorIOMode(tensorName);
3541 return mImpl->createExecutionContextWithRuntimeConfig(runtimeConfig);
3554 return mImpl->createRuntimeConfig();
3570 return mImpl->getDeviceMemorySizeV2();
3586 return mImpl->getDeviceMemorySizeForProfileV2(profileIndex);
3596 return mImpl->isRefittable();
3617 return mImpl->getTensorBytesPerComponent(tensorName);
3635 return mImpl->getTensorBytesPerComponentV2(tensorName, profileIndex);
3656 return mImpl->getTensorComponentsPerElement(tensorName);
3674 return mImpl->getTensorComponentsPerElementV2(tensorName, profileIndex);
3689 return mImpl->getTensorFormat(tensorName);
3703 return mImpl->getTensorFormatV2(tensorName, profileIndex);
3727 return mImpl->getTensorFormatDesc(tensorName);
3750 return mImpl->getTensorFormatDescV2(tensorName, profileIndex);
3767 return mImpl->getTensorVectorizedDim(tensorName);
3783 return mImpl->getTensorVectorizedDimV2(tensorName, profileIndex);
3798 return mImpl->getName();
3809 return mImpl->getNbOptimizationProfiles();
3829 return mImpl->getProfileShape(tensorName, profileIndex, select);
3844 return mImpl->getEngineCapability();
3863 return mImpl->setErrorRecorder(recorder);
3878 return mImpl->getErrorRecorder();
3892 return mImpl->hasImplicitBatchDimension();
3908 return mImpl->getTacticSources();
3920 return mImpl->getProfilingVerbosity();
3930 return mImpl->createEngineInspector();
3943 return mImpl->getNbIOTensors();
3955 return mImpl->getIOTensorName(index);
3966 return mImpl->getHardwareCompatibilityLevel();
3981 return mImpl->getNbAuxStreams();
3991 return mImpl->createSerializationConfig();
4011 return mImpl->serializeWithConfig(config);
4027 return mImpl->getStreamableWeightsSize();
4069 return mImpl->setWeightStreamingBudgetV2(gpuMemoryBudget);
4087 return mImpl->getWeightStreamingBudgetV2();
4112 return mImpl->getWeightStreamingAutomaticBudget();
4140 return mImpl->getWeightStreamingScratchMemorySize();
4154 return mImpl->isDebugTensor(name);
4177 char const* tensorName, int32_t profileIndex,
OptProfileSelector select)
const noexcept
4179 return mImpl->getProfileTensorValuesV2(tensorName, profileIndex, select);
4207 return mImpl->getEngineStat(stat);
4224 return {
"IOutputAllocator", 1, 0};
4250 char const* tensorName,
void* currentMemory, uint64_t size, uint64_t alignment, cudaStream_t )
4286 return {
"IDebugListener", 1, 0};
4303 char const* name, cudaStream_t stream)
4340 void setDebugSync(
bool sync) noexcept
4342 mImpl->setDebugSync(sync);
4352 return mImpl->getDebugSync();
4362 mImpl->setProfiler(profiler);
4372 return mImpl->getProfiler();
4382 return mImpl->getEngine();
4396 mImpl->setName(name);
4406 return mImpl->getName();
4433 mImpl->setDeviceMemory(memory);
4455 return mImpl->setDeviceMemoryV2(memory, size);
4476 return mImpl->getTensorStrides(tensorName);
4491 return mImpl->getOptimizationProfile();
4509 return mImpl->setInputShape(tensorName, dims);
4546 return mImpl->getTensorShape(tensorName);
4562 return mImpl->allInputDimensionsSpecified();
4581 mImpl->setErrorRecorder(recorder);
4596 return mImpl->getErrorRecorder();
4613 return mImpl->executeV2(bindings);
4657 return mImpl->setOptimizationProfileAsync(profileIndex, stream);
4673 mImpl->setEnqueueEmitsProfile(enqueueEmitsProfile);
4685 return mImpl->getEnqueueEmitsProfile();
4715 return mImpl->reportToProfiler();
4759 return mImpl->setTensorAddress(tensorName, data);
4776 return mImpl->getTensorAddress(tensorName);
4799 return mImpl->setOutputTensorAddress(tensorName, data);
4821 return mImpl->setInputTensorAddress(tensorName, data);
4840 return mImpl->getOutputTensorAddress(tensorName);
4871 int32_t
inferShapes(int32_t nbMaxNames,
char const** tensorNames)
noexcept
4873 return mImpl->inferShapes(nbMaxNames, tensorNames);
4890 return mImpl->updateDeviceMemorySizeForShapes();
4906 return mImpl->setInputConsumedEvent(event);
4916 return mImpl->getInputConsumedEvent();
4935 return mImpl->setOutputAllocator(tensorName, outputAllocator);
4948 return mImpl->getOutputAllocator(tensorName);
4966 return mImpl->getMaxOutputSize(tensorName);
4986 return mImpl->setTemporaryStorageAllocator(allocator);
4996 return mImpl->getTemporaryStorageAllocator();
5020 return mImpl->enqueueV3(stream);
5036 mImpl->setPersistentCacheLimit(size);
5047 return mImpl->getPersistentCacheLimit();
5071 return mImpl->setNvtxVerbosity(verbosity);
5083 return mImpl->getNvtxVerbosity();
5114 mImpl->setAuxStreams(auxStreams, nbStreams);
5126 return mImpl->setDebugListener(listener);
5136 return mImpl->getDebugListener();
5155 return mImpl->setTensorDebugState(name, flag);
5167 return mImpl->getDebugState(name);
5177 return mImpl->getRuntimeConfig();
5190 return mImpl->setAllTensorsDebugState(flag);
5206 return mImpl->setUnfusedTensorsDebugState(flag);
5216 return mImpl->getUnfusedTensorsDebugState();
5218#if ENABLE_FEATURE_DISABLE_RUNTIME_ALLOCATION
5237 bool isStreamCapturable(cudaStream_t stream)
const noexcept {
5238 return mImpl->isStreamCapturable(stream);
5301 return mImpl->setExecutionContext(context);
5313 return mImpl->getExecutionContext();
5338 return mImpl->getLayerInformation(layerIndex, format);
5361 return mImpl->getEngineInformation(format);
5380 mImpl->setErrorRecorder(recorder);
5395 return mImpl->getErrorRecorder();
5408extern "C" TENSORRTAPI void* createInferRuntime_INTERNAL(
void* logger, int32_t version)
noexcept;
5414extern "C" TENSORRTAPI void* createInferRefitter_INTERNAL(
void* engine,
void* logger, int32_t version)
noexcept;
5467template <
typename T>
5483#define REGISTER_TENSORRT_PLUGIN(name) \
5484 static nvinfer1::PluginRegistrar<name> pluginRegistrar##name {}
5553 cudaStream_t )
noexcept override = 0;
5606 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags)
noexcept override
5608 return allocateAsync(size, alignment, flags,
nullptr);
5631 return deallocateAsync(memory,
nullptr);
5639 return {
"IGpuAllocator", 1, 0};
5687 virtual
AsciiChar const* getPluginName() const noexcept = 0;
5695 virtual
AsciiChar const* getPluginVersion() const noexcept = 0;
5703 virtual
AsciiChar const* getPluginNamespace() const noexcept = 0;
TENSORRTAPI nvinfer1::IPluginRegistry * getPluginRegistry() noexcept
Return the plugin registry.
TENSORRTAPI nvinfer1::ILogger * getLogger() noexcept
Return the logger object.
TENSORRTAPI int32_t getInferLibMinorVersion() noexcept
Return the library minor version number.
TENSORRTAPI int32_t getInferLibMajorVersion() noexcept
Return the library major version number.
TENSORRTAPI int32_t getInferLibPatchVersion() noexcept
Return the library patch version number.
TENSORRTAPI int32_t getInferLibBuildVersion() noexcept
Return the library build version number.
#define TENSORRTAPI
Definition: NvInferRuntimeBase.h:69
#define NV_TENSORRT_VERSION
Definition: NvInferRuntimeBase.h:101
#define TRT_DEPRECATED
Definition: NvInferRuntimeBase.h:42
#define TRT_DEPRECATED_ENUM
Definition: NvInferRuntimeBase.h:43
Structure to define the dimensions of a tensor.
Definition: NvInferRuntimeBase.h:218
static constexpr int32_t MAX_DIMS
The maximum rank (number of dimensions) supported for a tensor.
Definition: NvInferRuntimeBase.h:221
Analog of class Dims with expressions instead of constants for the dimensions.
Definition: NvInferRuntime.h:350
IDimensionExpr const * d[Dims::MAX_DIMS]
The extent of each dimension.
Definition: NvInferRuntime.h:353
int32_t nbDims
The number of dimensions.
Definition: NvInferRuntime.h:352
An engine for executing inference on a built network, with functionally unsafe features.
Definition: NvInferRuntime.h:3401
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:3615
ISerializationConfig * createSerializationConfig() noexcept
Create a serialization configuration object.
Definition: NvInferRuntime.h:3989
char const * getIOTensorName(int32_t index) const noexcept
Return name of an IO tensor.
Definition: NvInferRuntime.h:3953
int64_t getWeightStreamingBudgetV2() const noexcept
Returns the current weight streaming device memory budget in bytes.
Definition: NvInferRuntime.h:4085
EngineCapability getEngineCapability() const noexcept
Determine what execution capability this engine has.
Definition: NvInferRuntime.h:3842
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:3876
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:3701
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:4176
TRT_DEPRECATED bool hasImplicitBatchDimension() const noexcept
Query whether the engine was built with an implicit batch dimension.
Definition: NvInferRuntime.h:3890
apiv::VCudaEngine * mImpl
Definition: NvInferRuntime.h:4211
IExecutionContext * createExecutionContext(ExecutionContextAllocationStrategy strategy=ExecutionContextAllocationStrategy::kSTATIC) noexcept
Create an execution context and specify the strategy for allocating internal activation memory.
Definition: NvInferRuntime.h:3475
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:3725
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:3827
bool setWeightStreamingBudgetV2(int64_t gpuMemoryBudget) noexcept
Limit the maximum amount of GPU memory usable for network weights in bytes.
Definition: NvInferRuntime.h:4067
IExecutionContext * createExecutionContext(IRuntimeConfig *runtimeConfig) noexcept
Create an execution context with TensorRT JIT runtime config.
Definition: NvInferRuntime.h:3539
int32_t getNbAuxStreams() const noexcept
Return the number of auxiliary streams used by this engine.
Definition: NvInferRuntime.h:3979
int64_t getStreamableWeightsSize() const noexcept
Get the total size in bytes of all streamable weights.
Definition: NvInferRuntime.h:4025
DataType getTensorDataType(char const *tensorName) const noexcept
Determine the required data type for a buffer from its tensor name.
Definition: NvInferRuntime.h:3430
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:3861
TacticSources getTacticSources() const noexcept
return the tactic sources required by this engine.
Definition: NvInferRuntime.h:3906
IHostMemory * serializeWithConfig(ISerializationConfig &config) const noexcept
Serialize the network to a stream with the provided SerializationConfig.
Definition: NvInferRuntime.h:4009
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:4110
bool isDebugTensor(char const *name) const noexcept
Check if a tensor is marked as a debug tensor.
Definition: NvInferRuntime.h:4152
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:3781
char const * getName() const noexcept
Returns the name of the network associated with the engine.
Definition: NvInferRuntime.h:3796
ProfilingVerbosity getProfilingVerbosity() const noexcept
Return the ProfilingVerbosity the builder config was set to when the engine was built.
Definition: NvInferRuntime.h:3918
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:3513
int64_t getWeightStreamingScratchMemorySize() const noexcept
Returns the size of the scratch memory required by the current weight streaming budget.
Definition: NvInferRuntime.h:4138
int64_t getDeviceMemorySizeV2() const noexcept
Return the maximum device memory required by the context over all profiles.
Definition: NvInferRuntime.h:3568
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:3765
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:3672
int64_t getDeviceMemorySizeForProfileV2(int32_t profileIndex) const noexcept
Return the maximum device memory required by the context for a profile.
Definition: NvInferRuntime.h:3584
IRuntimeConfig * createRuntimeConfig() noexcept
Create a runtime config for TensorRT JIT. The caller is responsible for ownership of the returned IRu...
Definition: NvInferRuntime.h:3552
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:3687
IHostMemory * serialize() const noexcept
Serialize the network to a stream.
Definition: NvInferRuntime.h:3458
int64_t getEngineStat(EngineStat stat) const noexcept
Get engine statistics according to the given enum value.
Definition: NvInferRuntime.h:4205
TensorLocation getTensorLocation(char const *tensorName) const noexcept
Get whether an input or output tensor must be on GPU or CPU.
Definition: NvInferRuntime.h:3493
IEngineInspector * createEngineInspector() const noexcept
Create a new engine inspector which prints the layer information in an engine or an execution context...
Definition: NvInferRuntime.h:3928
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:3633
HardwareCompatibilityLevel getHardwareCompatibilityLevel() const noexcept
Return the hardware compatibility level of this engine.
Definition: NvInferRuntime.h:3964
int32_t getNbOptimizationProfiles() const noexcept
Get the number of optimization profiles defined for this engine.
Definition: NvInferRuntime.h:3807
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:3748
TensorIOMode getTensorIOMode(char const *tensorName) const noexcept
Determine whether a tensor is an input or output tensor.
Definition: NvInferRuntime.h:3527
int32_t getNbLayers() const noexcept
Get the number of layers in the network.
Definition: NvInferRuntime.h:3444
int32_t getNbIOTensors() const noexcept
Return number of IO tensors.
Definition: NvInferRuntime.h:3941
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:3654
bool isRefittable() const noexcept
Return true if an engine can be refit.
Definition: NvInferRuntime.h:3594
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:5283
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:5336
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:5393
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:5378
IExecutionContext const * getExecutionContext() const noexcept
Get the context currently being inspected.
Definition: NvInferRuntime.h:5311
apiv::VEngineInspector * mImpl
Definition: NvInferRuntime.h:5399
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:5359
Context for executing inference using an engine, with functionally unsafe features.
Definition: NvInferRuntime.h:4328
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:4946
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:4594
bool reportToProfiler() const noexcept
Calculate layer timing info for the current optimization profile in IExecutionContext and update the ...
Definition: NvInferRuntime.h:4713
virtual ~IExecutionContext() noexcept=default
void setDeviceMemory(void *memory) noexcept
Set the device memory for use by this execution context.
Definition: NvInferRuntime.h:4431
bool setTensorDebugState(char const *name, bool flag) noexcept
Set debug state of tensor given the tensor name.
Definition: NvInferRuntime.h:5153
char const * getName() const noexcept
Return the name of the execution context.
Definition: NvInferRuntime.h:4404
IGpuAllocator * getTemporaryStorageAllocator() const noexcept
Get allocator set by setTemporaryStorageAllocator.
Definition: NvInferRuntime.h:4994
void setEnqueueEmitsProfile(bool enqueueEmitsProfile) noexcept
Set whether enqueue emits layer timing to the profiler.
Definition: NvInferRuntime.h:4671
bool setUnfusedTensorsDebugState(bool flag) noexcept
Turn the debug state of unfused tensors on or off.
Definition: NvInferRuntime.h:5204
Dims getTensorShape(char const *tensorName) const noexcept
Return the shape of the given input or output.
Definition: NvInferRuntime.h:4544
bool getDebugState(char const *name) const noexcept
Get the debug state.
Definition: NvInferRuntime.h:5165
bool setInputShape(char const *tensorName, Dims const &dims) noexcept
Set shape of given input.
Definition: NvInferRuntime.h:4507
bool executeV2(void *const *bindings) noexcept
Synchronously execute a network.
Definition: NvInferRuntime.h:4611
bool getEnqueueEmitsProfile() const noexcept
Get the enqueueEmitsProfile state.
Definition: NvInferRuntime.h:4683
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:4774
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:4933
bool setOptimizationProfileAsync(int32_t profileIndex, cudaStream_t stream) noexcept
Select an optimization profile for the current context with async semantics.
Definition: NvInferRuntime.h:4655
apiv::VExecutionContext * mImpl
Definition: NvInferRuntime.h:5243
bool setOutputTensorAddress(char const *tensorName, void *data) noexcept
Set the memory address for a given output tensor.
Definition: NvInferRuntime.h:4797
void setPersistentCacheLimit(size_t size) noexcept
Set the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:5034
size_t getPersistentCacheLimit() const noexcept
Get the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:5045
bool setAllTensorsDebugState(bool flag) noexcept
Turn the debug state of all debug tensors on or off.
Definition: NvInferRuntime.h:5188
ICudaEngine const & getEngine() const noexcept
Get the associated engine.
Definition: NvInferRuntime.h:4380
ProfilingVerbosity getNvtxVerbosity() const noexcept
Get the NVTX verbosity of the execution context.
Definition: NvInferRuntime.h:5081
size_t updateDeviceMemorySizeForShapes() noexcept
Recompute the internal activation buffer sizes based on the current input shapes, and return the tota...
Definition: NvInferRuntime.h:4888
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:5112
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:4964
int32_t inferShapes(int32_t nbMaxNames, char const **tensorNames) noexcept
Run shape calculations.
Definition: NvInferRuntime.h:4871
bool setDebugListener(IDebugListener *listener) noexcept
Set DebugListener for this execution context.
Definition: NvInferRuntime.h:5124
bool setTensorAddress(char const *tensorName, void *data) noexcept
Set memory address for given input or output tensor.
Definition: NvInferRuntime.h:4757
bool setTemporaryStorageAllocator(IGpuAllocator *allocator) noexcept
Specify allocator to use for internal temporary storage.
Definition: NvInferRuntime.h:4984
void * getOutputTensorAddress(char const *tensorName) const noexcept
Get memory address for given output.
Definition: NvInferRuntime.h:4838
bool enqueueV3(cudaStream_t stream) noexcept
Enqueue inference on a stream.
Definition: NvInferRuntime.h:5018
IDebugListener * getDebugListener() noexcept
Get the DebugListener of this execution context.
Definition: NvInferRuntime.h:5134
int32_t getOptimizationProfile() const noexcept
Get the index of the currently selected optimization profile.
Definition: NvInferRuntime.h:4489
bool setInputTensorAddress(char const *tensorName, void const *data) noexcept
Set memory address for given input.
Definition: NvInferRuntime.h:4819
bool getDebugSync() const noexcept
Get the debug sync flag.
Definition: NvInferRuntime.h:4350
bool setInputConsumedEvent(cudaEvent_t event) noexcept
Mark input as consumed.
Definition: NvInferRuntime.h:4904
Dims getTensorStrides(char const *tensorName) const noexcept
Return the strides of the buffer for the given tensor name.
Definition: NvInferRuntime.h:4474
bool setNvtxVerbosity(ProfilingVerbosity verbosity) noexcept
Set the verbosity of the NVTX markers in the execution context.
Definition: NvInferRuntime.h:5069
IProfiler * getProfiler() const noexcept
Get the profiler.
Definition: NvInferRuntime.h:4370
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:4579
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:4453
bool allInputDimensionsSpecified() const noexcept
Whether all dynamic dimensions of input tensors have been specified.
Definition: NvInferRuntime.h:4560
bool getUnfusedTensorsDebugState() const noexcept
Get the debug state of unfused tensors.
Definition: NvInferRuntime.h:5214
void setProfiler(IProfiler *profiler) noexcept
Set the profiler.
Definition: NvInferRuntime.h:4360
void setName(char const *name) noexcept
Set the name of the execution context.
Definition: NvInferRuntime.h:4394
cudaEvent_t getInputConsumedEvent() const noexcept
The event associated with consuming the input.
Definition: NvInferRuntime.h:4914
IRuntimeConfig * getRuntimeConfig() const noexcept
Get the runtime config object used during execution context creation.
Definition: NvInferRuntime.h:5175
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:5497
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:2672
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:2793
apiv::VOptimizationProfile * mImpl
Definition: NvInferRuntime.h:2909
Dims getDimensions(char const *inputName, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum dimensions for a dynamic input tensor.
Definition: NvInferRuntime.h:2713
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:2765
virtual ~IOptimizationProfile() noexcept=default
float getExtraMemoryTarget() const noexcept
Get the extra memory target that has been defined for this profile.
Definition: NvInferRuntime.h:2823
bool setExtraMemoryTarget(float target) noexcept
Set a target for extra GPU memory that may be used by this profile.
Definition: NvInferRuntime.h:2811
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:2701
bool isValid() const noexcept
Check whether the optimization profile can be passed to an IBuilderConfig object.
Definition: NvInferRuntime.h:2840
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:2903
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:2890
int32_t getNbShapeValues(char const *inputName) const noexcept
Get the number of values for an input shape tensor.
Definition: NvInferRuntime.h:2779
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:2264
bool refitCudaEngineAsync(cudaStream_t stream) noexcept
Enqueue weights refitting of the associated engine on the given stream.
Definition: NvInferRuntime.h:2594
int32_t getMaxThreads() const noexcept
get the maximum number of threads that can be used by the refitter.
Definition: NvInferRuntime.h:2473
TensorLocation getWeightsLocation(char const *weightsName) const noexcept
Get location for the weights associated with the given name.
Definition: NvInferRuntime.h:2532
bool setNamedWeights(char const *name, Weights weights) noexcept
Specify new weights of given name.
Definition: NvInferRuntime.h:2397
int32_t getAllWeights(int32_t size, char const **weightsNames) noexcept
Get names of all weights that could be refit.
Definition: NvInferRuntime.h:2433
ILogger * getLogger() const noexcept
get the logger with which the refitter was created
Definition: NvInferRuntime.h:2443
bool refitCudaEngine() noexcept
Refits associated engine.
Definition: NvInferRuntime.h:2300
int32_t getMissingWeights(int32_t size, char const **weightsNames) noexcept
Get names of missing weights.
Definition: NvInferRuntime.h:2417
int32_t getMissing(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of missing weights.
Definition: NvInferRuntime.h:2321
Weights getNamedWeights(char const *weightsName) const noexcept
Get weights associated with the given name.
Definition: NvInferRuntime.h:2516
bool unsetNamedWeights(char const *weightsName) noexcept
Unset weights associated with the given name.
Definition: NvInferRuntime.h:2548
Weights getWeightsPrototype(char const *weightsName) const noexcept
Get the Weights prototype associated with the given name.
Definition: NvInferRuntime.h:2612
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:2459
bool setNamedWeights(char const *name, Weights weights, TensorLocation location) noexcept
Specify new weights on a specified device of given name.
Definition: NvInferRuntime.h:2500
void setWeightsValidation(bool weightsValidation) noexcept
Set whether to validate weights during refitting.
Definition: NvInferRuntime.h:2564
apiv::VRefitter * mImpl
Definition: NvInferRuntime.h:2618
int32_t getAll(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of all weights that could be refit.
Definition: NvInferRuntime.h:2338
virtual ~IRefitter() noexcept=default
bool getWeightsValidation() const noexcept
Get whether to validate weights values during refitting.
Definition: NvInferRuntime.h:2572
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:2357
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:2372
A class for Runtime cache currently used for TensorRT JIT compilation. This cache can be serialized a...
Definition: NvInferRuntime.h:3129
virtual ~IRuntimeCache() noexcept=default
bool deserialize(void const *blob, size_t size) noexcept
Deserialize the Runtime cache from a stream that contains serialized Runtime cache.
Definition: NvInferRuntime.h:3149
bool reset() noexcept
Reset the Runtime cache. Clears all content within the cache.
Definition: NvInferRuntime.h:3157
apiv::VRuntimeCache * mImpl
Definition: NvInferRuntime.h:3163
A class for runtime configuration. This class is used during execution context creation.
Definition: NvInferRuntime.h:3252
bool setCudaGraphStrategy(CudaGraphStrategy strategy) noexcept
Set the strategy used for CUDA graphs for JIT (Just-In-Time) inference. Default is kDISABLED.
Definition: NvInferRuntime.h:3346
DynamicShapesKernelSpecializationStrategy getDynamicShapesKernelSpecializationStrategy() const noexcept
Return the dynamic shape specialization strategy of this config.
Definition: NvInferRuntime.h:3322
virtual ~IRuntimeConfig() noexcept=default
apiv::VRuntimeConfig * mImpl
Definition: NvInferRuntime.h:3362
IRuntimeCache * createRuntimeCache() const noexcept
Create an empty Runtime cache.
Definition: NvInferRuntime.h:3281
ExecutionContextAllocationStrategy getExecutionContextAllocationStrategy() const noexcept
Get the execution context allocation strategy.
Definition: NvInferRuntime.h:3271
bool setRuntimeCache(IRuntimeCache const &cache) noexcept
Set Runtime cache to the runtime config. Enables Runtime caching.
Definition: NvInferRuntime.h:3291
void setDynamicShapesKernelSpecializationStrategy(DynamicShapesKernelSpecializationStrategy dynamicShapesKernelSpecializationStrategy) noexcept
Set the dynamic shape kernel specialization strategy for this config.
Definition: NvInferRuntime.h:3311
IRuntimeCache * getRuntimeCache() const noexcept
Get the Runtime cache from the runtime config.
Definition: NvInferRuntime.h:3301
CudaGraphStrategy getCudaGraphStrategy() const noexcept
Return the strategy used for CUDA graphs for JIT (Just-In-Time) inference.
Definition: NvInferRuntime.h:3356
Allows a serialized functionally unsafe engine to be deserialized.
Definition: NvInferRuntime.h:1921
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:2070
IRuntime * loadRuntime(char const *path) noexcept
Load IRuntime from the file.
Definition: NvInferRuntime.h:2186
bool getEngineHostCodeAllowed() const noexcept
Get whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:2208
int64_t getEngineHeaderSize() const noexcept
Get size of engine header in bytes.
Definition: NvInferRuntime.h:2220
TempfileControlFlags getTempfileControlFlags() const noexcept
Get the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:2158
void setEngineHostCodeAllowed(bool allowed) noexcept
Set whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:2198
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:2119
IPluginRegistry & getPluginRegistry() noexcept
Get the local plugin registry that can be used by the runtime.
Definition: NvInferRuntime.h:2168
apiv::VRuntime * mImpl
Definition: NvInferRuntime.h:2253
int32_t getNbDLACores() const noexcept
Returns number of DLA hardware cores accessible or 0 if DLA is unavailable.
Definition: NvInferRuntime.h:1954
EngineValidity getEngineValidity(void const *blob, int64_t blobSize, uint64_t *diagnostics) const noexcept
Check for engine validity by inspecting the serialized engine header.
Definition: NvInferRuntime.h:2247
ICudaEngine * deserializeCudaEngine(void const *blob, std::size_t size) noexcept
Deserialize an engine from host memory.
Definition: NvInferRuntime.h:2022
void setTempfileControlFlags(TempfileControlFlags flags) noexcept
Set the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:2146
int32_t getDLACore() const noexcept
Get the DLA core that the engine executes on.
Definition: NvInferRuntime.h:1946
void setGpuAllocator(IGpuAllocator *allocator) noexcept
Set the GPU allocator.
Definition: NvInferRuntime.h:1970
IErrorRecorder * getErrorRecorder() const noexcept
get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:2004
ICudaEngine * deserializeCudaEngine(IStreamReaderV2 &streamReader)
Deserialize an engine from a stream. IStreamReaderV2 is expected to support reading to both host and ...
Definition: NvInferRuntime.h:2045
ILogger * getLogger() const noexcept
get the logger with which the runtime was created
Definition: NvInferRuntime.h:2055
int32_t getMaxThreads() const noexcept
Get the maximum number of threads that can be used by the runtime.
Definition: NvInferRuntime.h:2084
char const * getTemporaryDirectory() const noexcept
Get the directory that will be used by this runtime for temporary files.
Definition: NvInferRuntime.h:2130
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:1989
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:278
Version information associated with a TRT interface.
Definition: NvInferRuntimeBase.h:243
Register the plugin creator to the registry The static registry object will be instantiated when the ...
Definition: NvInferRuntime.h:5469
PluginRegistrar()
Definition: NvInferRuntime.h:5471
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:4279
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:4284
~IDebugListener() override=default
Definition: NvInferRuntimeBase.h:415
Definition: NvInferRuntime.h:1656
virtual void * allocateAsync(uint64_t const size, uint64_t const alignment, AllocatorFlags const flags, cudaStream_t) noexcept
A thread-safe callback implemented by the application to handle stream-ordered acquisition of GPU mem...
Definition: NvInferRuntime.h:1778
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:1819
virtual TRT_DEPRECATED bool deallocate(void *const memory) noexcept=0
A thread-safe callback implemented by the application to handle release of GPU memory.
~IGpuAllocator() override=default
virtual void * reallocate(void *const, uint64_t, uint64_t) noexcept
A thread-safe callback implemented by the application to resize an existing allocation.
Definition: NvInferRuntime.h:1725
virtual TRT_DEPRECATED void * allocate(uint64_t const size, uint64_t const alignment, AllocatorFlags const flags) noexcept=0
A thread-safe callback implemented by the application to handle acquisition of GPU memory.
virtual bool deallocateAsync(void *const memory, cudaStream_t) noexcept
A thread-safe callback implemented by the application to handle stream-ordered release of GPU memory.
Definition: NvInferRuntime.h:1811
Definition: NvInferRuntime.h:5518
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:5605
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:5629
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:5637
~IGpuAsyncAllocator() override=default
Definition: NvInferRuntime.h:4217
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:4222
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:4249
virtual void notifyShape(char const *tensorName, Dims const &dims) noexcept=0
Called by TensorRT when the shape of the output tensor is known.
Definition: NvInferPluginBase.h:141
Definition: NvInferPluginBase.h:193
Definition: NvInferRuntime.h:5644
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:5649
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:5449
IRuntime * createInferRuntime(ILogger &logger) noexcept
Create an instance of an IRuntime class.
Definition: NvInferRuntime.h:5438
The TensorRT-RTX API version 1 namespace.
uint32_t TacticSources
Represents a collection of one or more TacticSource values combine using bitwise-OR operations.
Definition: NvInferRuntime.h:2958
v_1_0::IOutputAllocator IOutputAllocator
Definition: NvInferRuntime.h:4274
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
EngineInvalidityDiagnostics
Bitmask indicating the reason(s) why an engine is invalid.
Definition: NvInferRuntime.h:1889
@ kUNSUPPORTED_CC
Unsupported compute capability on current system.
@ kMALFORMED_ENGINE
Serialized engine does not conform to the expected format.
@ kINSUFFICIENT_GPU_MEMORY
Insufficient GPU memory to hold all engine weights.
@ kCUDA_ERROR
Incorrect installation of the CUDA driver or runtime.
@ kOLD_CUDA_DRIVER
CUDA driver too old (driver downgrade compared to when engine was built).
@ kOLD_CUDA_RUNTIME
CUDA runtime too old (runtime downgrade compared to when engine was built).
@ kVERSION_MISMATCH
TensorRT-RTX version mismatch to when engine was built.
TensorIOMode
Definition of tensor IO Mode.
Definition: NvInferRuntimeBase.h:658
HardwareCompatibilityLevel
Describes requirements of compatibility with GPU architectures other than that of the GPU on which th...
Definition: NvInfer.h:9096
SerializationFlag
List of valid flags that the engine can enable when serializing the bytes.
Definition: NvInferRuntime.h:2999
@ kEXCLUDE_WEIGHTS
Exclude the weights that can be refitted.
@ kINCLUDE_REFIT
Remain refittable if originally so.
constexpr int32_t EnumMax< DynamicShapesKernelSpecializationStrategy >() noexcept
Maximum number of dynamic shape specialization strategies in DynamicShapesKernelSpecializationStrateg...
Definition: NvInferRuntime.h:3204
v_1_0::IStreamWriter IStreamWriter
Definition: NvInferRuntime.h:720
v_1_0::IProfiler IProfiler
Definition: NvInferRuntime.h:1318
DynamicShapesKernelSpecializationStrategy
Different kernel specialization strategies for dynamic shapes.
Definition: NvInferRuntime.h:3178
SeekPosition
Controls the seek mode of IStreamReaderV2.
Definition: NvInferRuntime.h:727
@ kSET
From the beginning of the file.
@ kCUR
From the current position of the file.
@ kEND
From the tail of the file.
v_1_0::IStreamReaderV2 IStreamReaderV2
Definition: NvInferRuntime.h:797
uint32_t TempfileControlFlags
Represents a collection of one or more TempfileControlFlag values combined using bitwise-OR operation...
Definition: NvInferRuntime.h:1396
EngineStat
The kind of engine statistics that queried from the ICudaEngine.
Definition: NvInferRuntime.h:3374
@ kTOTAL_WEIGHTS_SIZE
Return the total weight size in bytes.
@ kSTRIPPED_WEIGHTS_SIZE
Return the stripped weight size in bytes for engines built with BuilderFlag::kSTRIP_PLAN.
CudaGraphStrategy
Strategies available for CUDA graphs optimizations for JIT (Just-In-Time) inference.
Definition: NvInferRuntime.h:3217
v_1_0::IGpuAllocator IGpuAllocator
Definition: NvInferRuntime.h:1855
EngineValidity
Whether a TensorRT-RTX engine is likely to be valid on the current system.
Definition: NvInferRuntime.h:1863
@ kINVALID
Engine is invalid on the current system.
@ kSUBOPTIMAL
Engine is likely to be valid on the current system, but may show reduced performance.
@ kVALID
Engine is likely to be valid on the current system, based on the information in the header.
constexpr int32_t EnumMax< WeightsRole >() noexcept
Maximum number of elements in WeightsRole enum.
Definition: NvInferRuntime.h:1339
char_t AsciiChar
Definition: NvInferRuntimeBase.h:115
TensorRTPhase
Indicates a phase of operation of TensorRT.
Definition: NvInferPluginBase.h:116
@ kV2_DYNAMICEXT
IPluginV2DynamicExt.
constexpr int32_t EnumMax< EngineStat >() noexcept
Maximum number of engine statistic kinds in EngineStat enum.
Definition: NvInferRuntime.h:3388
constexpr int32_t EnumMax< LayerInformationFormat >() noexcept
Definition: NvInferRuntime.h:5262
DataType
The type of weights and tensors. The datatypes other than kBOOL, kINT32, and kINT64 are "activation d...
Definition: NvInferRuntimeBase.h:145
DeviceType
The device that this layer/network will execute on.
Definition: NvInferRuntime.h:1350
@ kCONSTANT
Constant layer.
v_1_0::IDebugListener IDebugListener
Definition: NvInferRuntime.h:4315
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:2644
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:2978
ProfilingVerbosity
List of verbosity levels of layer information exposed in NVTX annotations and in IEngineInspector.
Definition: NvInferRuntime.h:2970
@ 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:2921
@ 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:2989
@ 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< CudaGraphStrategy >() noexcept
Maximum number of CUDA graph strategies in CudaGraphStrategy enum.
Definition: NvInferRuntime.h:3239
constexpr int32_t EnumMax< TacticSource >() noexcept
Maximum number of tactic sources in TacticSource enum.
Definition: NvInferRuntime.h:2947
LayerInformationFormat
The format in which the IEngineInspector prints the layer information.
Definition: NvInferRuntime.h:5254
@ 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:2632
@ 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