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;
722 virtual int64_t
read(
void* destination, int64_t nbBytes, cudaStream_t stream)
noexcept = 0;
821 virtual
AsciiChar const* getPluginVersion() const noexcept = 0;
832 virtual
AsciiChar const* getPluginNamespace() const noexcept = 0;
843 static constexpr int32_t kDEFAULT_FORMAT_COMBINATION_LIMIT = 100;
892 DataType* outputTypes, int32_t nbOutputs,
const DataType* inputTypes, int32_t nbInputs)
const noexcept = 0;
916 int32_t nbShapeInputs,
DimsExprs* outputs, int32_t nbOutputs,
IExprBuilder& exprBuilder)
noexcept = 0;
1042 return kDEFAULT_FORMAT_COMBINATION_LIMIT;
1115 void const*
const* inputs,
void*
const* outputs,
void* workspace, cudaStream_t stream)
noexcept = 0;
1498 static constexpr int32_t kVALUE = 13;
1520 static constexpr int32_t kVALUE = 1;
1602 static constexpr int32_t kVALUE = 5;
1637 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags)
noexcept = 0;
1679 virtual void*
reallocate(
void*
const , uint64_t , uint64_t )
noexcept
1733 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags, cudaStream_t )
noexcept
1735 return allocate(size, alignment, flags);
1767 return deallocate(memory);
1775 return {
"IGpuAllocator", 1, 0};
1834 void setDLACore(int32_t dlaCore) noexcept
1836 mImpl->setDLACore(dlaCore);
1846 return mImpl->getDLACore();
1854 return mImpl->getNbDLACores();
1870 mImpl->setGpuAllocator(allocator);
1889 mImpl->setErrorRecorder(recorder);
1904 return mImpl->getErrorRecorder();
1922 return mImpl->deserializeCudaEngine(blob, size);
1946 return mImpl->deserializeCudaEngine(streamReader);
1969 return mImpl->deserializeCudaEngineV2(streamReader);
1979 return mImpl->getLogger();
1994 return mImpl->setMaxThreads(maxThreads);
2008 return mImpl->getMaxThreads();
2043 return mImpl->setTemporaryDirectory(path);
2054 return mImpl->getTemporaryDirectory();
2070 return mImpl->setTempfileControlFlags(flags);
2082 return mImpl->getTempfileControlFlags();
2092 return mImpl->getPluginRegistry();
2122 return mImpl->setEngineHostCodeAllowed(allowed);
2132 return mImpl->getEngineHostCodeAllowed();
2168 return mImpl->setWeights(layerName, role, weights);
2185 return mImpl->refitCudaEngine();
2206 return mImpl->getMissing(size, layerNames, roles);
2223 return mImpl->getAll(size, layerNames, roles);
2245 return mImpl->setDynamicRange(tensorName, min, max);
2261 return mImpl->getDynamicRangeMin(tensorName);
2277 return mImpl->getDynamicRangeMax(tensorName);
2295 return mImpl->getTensorsWithDynamicRange(size, tensorNames);
2314 mImpl->setErrorRecorder(recorder);
2329 return mImpl->getErrorRecorder();
2354 return mImpl->setNamedWeights(name, weights);
2374 return mImpl->getMissingWeights(size, weightsNames);
2390 return mImpl->getAllWeights(size, weightsNames);
2400 return mImpl->getLogger();
2416 return mImpl->setMaxThreads(maxThreads);
2430 return mImpl->getMaxThreads();
2457 return mImpl->setNamedWeightsWithLocation(name, weights, location);
2473 return mImpl->getNamedWeights(weightsName);
2489 return mImpl->getWeightsLocation(weightsName);
2505 return mImpl->unsetNamedWeights(weightsName);
2521 return mImpl->setWeightsValidation(weightsValidation);
2529 return mImpl->getWeightsValidation();
2551 return mImpl->refitCudaEngineAsync(stream);
2569 return mImpl->getWeightsPrototype(weightsName);
2658 return mImpl->setDimensions(inputName, select, dims);
2670 return mImpl->getDimensions(inputName, select);
2721 char const* inputName,
OptProfileSelector select, int32_t
const* values, int32_t nbValues)
noexcept
2723 return mImpl->setShapeValues(inputName, select, values, nbValues);
2736 return mImpl->getNbShapeValues(inputName);
2750 return mImpl->getShapeValues(inputName, select);
2768 return mImpl->setExtraMemoryTarget(target);
2780 return mImpl->getExtraMemoryTarget();
2797 return mImpl->isValid();
2846 char const* inputName,
OptProfileSelector select, int64_t
const* values, int32_t nbValues)
noexcept
2848 return mImpl->setShapeValuesV2(inputName, select, values, nbValues);
2860 return mImpl->getShapeValuesV2(inputName, select);
2991 return mImpl->setFlags(serializationFlags);
3003 return mImpl->getFlags();
3015 return mImpl->clearFlag(serializationFlag);
3027 return mImpl->setFlag(serializationFlag);
3039 return mImpl->getFlag(serializationFlag);
3094 return mImpl->setExecutionContextAllocationStrategy(strategy);
3104 return mImpl->getExecutionContextAllocationStrategy();
3134 Dims getTensorShape(
char const* tensorName) const noexcept
3136 return mImpl->getTensorShape(tensorName);
3151 return mImpl->getTensorDataType(tensorName);
3165 return mImpl->getNbLayers();
3179 return mImpl->serialize();
3197 return mImpl->createExecutionContext(strategy);
3214 return mImpl->getTensorLocation(tensorName);
3234 return mImpl->isShapeInferenceIO(tensorName);
3248 return mImpl->getTensorIOMode(tensorName);
3260 return mImpl->createExecutionContextWithoutDeviceMemory();
3272 return mImpl->createExecutionContextWithRuntimeConfig(runtimeConfig);
3285 return mImpl->createRuntimeConfig();
3297 return mImpl->getDeviceMemorySize();
3309 return mImpl->getDeviceMemorySizeForProfile(profileIndex);
3325 return mImpl->getDeviceMemorySizeV2();
3341 return mImpl->getDeviceMemorySizeForProfileV2(profileIndex);
3351 return mImpl->isRefittable();
3372 return mImpl->getTensorBytesPerComponent(tensorName);
3390 return mImpl->getTensorBytesPerComponentV2(tensorName, profileIndex);
3411 return mImpl->getTensorComponentsPerElement(tensorName);
3429 return mImpl->getTensorComponentsPerElementV2(tensorName, profileIndex);
3444 return mImpl->getTensorFormat(tensorName);
3458 return mImpl->getTensorFormatV2(tensorName, profileIndex);
3482 return mImpl->getTensorFormatDesc(tensorName);
3505 return mImpl->getTensorFormatDescV2(tensorName, profileIndex);
3522 return mImpl->getTensorVectorizedDim(tensorName);
3538 return mImpl->getTensorVectorizedDimV2(tensorName, profileIndex);
3553 return mImpl->getName();
3564 return mImpl->getNbOptimizationProfiles();
3584 return mImpl->getProfileShape(tensorName, profileIndex, select);
3608 char const* tensorName, int32_t profileIndex,
OptProfileSelector select)
const noexcept
3610 return mImpl->getProfileTensorValues(tensorName, profileIndex, select);
3625 return mImpl->getEngineCapability();
3644 return mImpl->setErrorRecorder(recorder);
3659 return mImpl->getErrorRecorder();
3673 return mImpl->hasImplicitBatchDimension();
3689 return mImpl->getTacticSources();
3701 return mImpl->getProfilingVerbosity();
3711 return mImpl->createEngineInspector();
3724 return mImpl->getNbIOTensors();
3736 return mImpl->getIOTensorName(index);
3747 return mImpl->getHardwareCompatibilityLevel();
3762 return mImpl->getNbAuxStreams();
3772 return mImpl->createSerializationConfig();
3788 return mImpl->serializeWithConfig(config);
3833 return mImpl->setWeightStreamingBudget(gpuMemoryBudget);
3853 return mImpl->getWeightStreamingBudget();
3876 return mImpl->getMinimumWeightStreamingBudget();
3892 return mImpl->getStreamableWeightsSize();
3934 return mImpl->setWeightStreamingBudgetV2(gpuMemoryBudget);
3952 return mImpl->getWeightStreamingBudgetV2();
3977 return mImpl->getWeightStreamingAutomaticBudget();
4005 return mImpl->getWeightStreamingScratchMemorySize();
4019 return mImpl->isDebugTensor(name);
4042 char const* tensorName, int32_t profileIndex,
OptProfileSelector select)
const noexcept
4044 return mImpl->getProfileTensorValuesV2(tensorName, profileIndex, select);
4061 return {
"IOutputAllocator", 1, 0};
4084 char const* tensorName,
void* currentMemory, uint64_t size, uint64_t alignment)
noexcept
4112 char const* tensorName,
void* currentMemory, uint64_t size, uint64_t alignment, cudaStream_t )
4114 return reallocateOutput(tensorName, currentMemory, size, alignment);
4148 return {
"IDebugListener", 1, 0};
4165 char const* name, cudaStream_t stream)
4202 void setDebugSync(
bool sync) noexcept
4204 mImpl->setDebugSync(sync);
4214 return mImpl->getDebugSync();
4224 mImpl->setProfiler(profiler);
4234 return mImpl->getProfiler();
4244 return mImpl->getEngine();
4258 mImpl->setName(name);
4268 return mImpl->getName();
4295 mImpl->setDeviceMemory(memory);
4317 return mImpl->setDeviceMemoryV2(memory, size);
4338 return mImpl->getTensorStrides(tensorName);
4353 return mImpl->getOptimizationProfile();
4371 return mImpl->setInputShape(tensorName, dims);
4408 return mImpl->getTensorShape(tensorName);
4424 return mImpl->allInputDimensionsSpecified();
4441 return mImpl->allInputShapesSpecified();
4460 mImpl->setErrorRecorder(recorder);
4475 return mImpl->getErrorRecorder();
4492 return mImpl->executeV2(bindings);
4536 return mImpl->setOptimizationProfileAsync(profileIndex, stream);
4552 mImpl->setEnqueueEmitsProfile(enqueueEmitsProfile);
4564 return mImpl->getEnqueueEmitsProfile();
4594 return mImpl->reportToProfiler();
4638 return mImpl->setTensorAddress(tensorName, data);
4655 return mImpl->getTensorAddress(tensorName);
4678 return mImpl->setOutputTensorAddress(tensorName, data);
4700 return mImpl->setInputTensorAddress(tensorName, data);
4719 return mImpl->getOutputTensorAddress(tensorName);
4750 int32_t
inferShapes(int32_t nbMaxNames,
char const** tensorNames)
noexcept
4752 return mImpl->inferShapes(nbMaxNames, tensorNames);
4769 return mImpl->updateDeviceMemorySizeForShapes();
4785 return mImpl->setInputConsumedEvent(event);
4795 return mImpl->getInputConsumedEvent();
4814 return mImpl->setOutputAllocator(tensorName, outputAllocator);
4827 return mImpl->getOutputAllocator(tensorName);
4845 return mImpl->getMaxOutputSize(tensorName);
4865 return mImpl->setTemporaryStorageAllocator(allocator);
4875 return mImpl->getTemporaryStorageAllocator();
4899 return mImpl->enqueueV3(stream);
4915 mImpl->setPersistentCacheLimit(size);
4926 return mImpl->getPersistentCacheLimit();
4950 return mImpl->setNvtxVerbosity(verbosity);
4962 return mImpl->getNvtxVerbosity();
4993 mImpl->setAuxStreams(auxStreams, nbStreams);
5005 return mImpl->setDebugListener(listener);
5015 return mImpl->getDebugListener();
5034 return mImpl->setTensorDebugState(name, flag);
5046 return mImpl->getDebugState(name);
5056 return mImpl->getRuntimeConfig();
5069 return mImpl->setAllTensorsDebugState(flag);
5085 return mImpl->setUnfusedTensorsDebugState(flag);
5095 return mImpl->getUnfusedTensorsDebugState();
5157 return mImpl->setExecutionContext(context);
5169 return mImpl->getExecutionContext();
5194 return mImpl->getLayerInformation(layerIndex, format);
5217 return mImpl->getEngineInformation(format);
5236 mImpl->setErrorRecorder(recorder);
5251 return mImpl->getErrorRecorder();
5264extern "C" TENSORRTAPI void* createInferRuntime_INTERNAL(
void* logger, int32_t version)
noexcept;
5270extern "C" TENSORRTAPI void* createInferRefitter_INTERNAL(
void* engine,
void* logger, int32_t version)
noexcept;
5323template <
typename T>
5339#define REGISTER_TENSORRT_PLUGIN(name) \
5340 static nvinfer1::PluginRegistrar<name> pluginRegistrar##name {}
5409 cudaStream_t )
noexcept override = 0;
5462 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags)
noexcept override
5464 return allocateAsync(size, alignment, flags,
nullptr);
5487 return deallocateAsync(memory,
nullptr);
5495 return {
"IGpuAllocator", 1, 0};
5543 virtual
AsciiChar const* getPluginName() const noexcept = 0;
5551 virtual
AsciiChar const* getPluginVersion() const noexcept = 0;
5559 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:3120
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:3370
ISerializationConfig * createSerializationConfig() noexcept
Create a serialization configuration object.
Definition: NvInferRuntime.h:3770
TRT_DEPRECATED int64_t getWeightStreamingBudget() const noexcept
Returns the current weight streaming device memory budget in bytes.
Definition: NvInferRuntime.h:3851
char const * getIOTensorName(int32_t index) const noexcept
Return name of an IO tensor.
Definition: NvInferRuntime.h:3734
int64_t getWeightStreamingBudgetV2() const noexcept
Returns the current weight streaming device memory budget in bytes.
Definition: NvInferRuntime.h:3950
EngineCapability getEngineCapability() const noexcept
Determine what execution capability this engine has.
Definition: NvInferRuntime.h:3623
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:3657
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:3456
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:4041
TRT_DEPRECATED bool hasImplicitBatchDimension() const noexcept
Query whether the engine was built with an implicit batch dimension.
Definition: NvInferRuntime.h:3671
apiv::VCudaEngine * mImpl
Definition: NvInferRuntime.h:4048
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:3307
IExecutionContext * createExecutionContext(ExecutionContextAllocationStrategy strategy=ExecutionContextAllocationStrategy::kSTATIC) noexcept
Create an execution context and specify the strategy for allocating internal activation memory.
Definition: NvInferRuntime.h:3194
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:3480
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:3582
bool setWeightStreamingBudgetV2(int64_t gpuMemoryBudget) noexcept
Limit the maximum amount of GPU memory usable for network weights in bytes.
Definition: NvInferRuntime.h:3932
IExecutionContext * createExecutionContext(IRuntimeConfig *runtimeConfig) noexcept
Create an execution context with TensorRT JIT runtime config.
Definition: NvInferRuntime.h:3270
int32_t getNbAuxStreams() const noexcept
Return the number of auxiliary streams used by this engine.
Definition: NvInferRuntime.h:3760
int64_t getStreamableWeightsSize() const noexcept
Get the total size in bytes of all streamable weights.
Definition: NvInferRuntime.h:3890
DataType getTensorDataType(char const *tensorName) const noexcept
Determine the required data type for a buffer from its tensor name.
Definition: NvInferRuntime.h:3149
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:3642
TacticSources getTacticSources() const noexcept
return the tactic sources required by this engine.
Definition: NvInferRuntime.h:3687
IHostMemory * serializeWithConfig(ISerializationConfig &config) const noexcept
Serialize the network to a stream with the provided SerializationConfig.
Definition: NvInferRuntime.h:3786
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:3975
bool isDebugTensor(char const *name) const noexcept
Check if a tensor is marked as a debug tensor.
Definition: NvInferRuntime.h:4017
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:3536
char const * getName() const noexcept
Returns the name of the network associated with the engine.
Definition: NvInferRuntime.h:3551
ProfilingVerbosity getProfilingVerbosity() const noexcept
Return the ProfilingVerbosity the builder config was set to when the engine was built.
Definition: NvInferRuntime.h:3699
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:3232
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:3607
int64_t getWeightStreamingScratchMemorySize() const noexcept
Returns the size of the scratch memory required by the current weight streaming budget.
Definition: NvInferRuntime.h:4003
TRT_DEPRECATED bool setWeightStreamingBudget(int64_t gpuMemoryBudget) noexcept
Limit the maximum amount of GPU memory usable for network weights in bytes.
Definition: NvInferRuntime.h:3831
int64_t getDeviceMemorySizeV2() const noexcept
Return the maximum device memory required by the context over all profiles.
Definition: NvInferRuntime.h:3323
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:3520
TRT_DEPRECATED size_t getDeviceMemorySize() const noexcept
Return the maximum device memory required by the context over all profiles.
Definition: NvInferRuntime.h:3295
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:3427
int64_t getDeviceMemorySizeForProfileV2(int32_t profileIndex) const noexcept
Return the maximum device memory required by the context for a profile.
Definition: NvInferRuntime.h:3339
IRuntimeConfig * createRuntimeConfig() noexcept
Create a runtime config for TensorRT JIT. The caller is responsible for ownership of the returned IRu...
Definition: NvInferRuntime.h:3283
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:3442
IHostMemory * serialize() const noexcept
Serialize the network to a stream.
Definition: NvInferRuntime.h:3177
TensorLocation getTensorLocation(char const *tensorName) const noexcept
Get whether an input or output tensor must be on GPU or CPU.
Definition: NvInferRuntime.h:3212
IEngineInspector * createEngineInspector() const noexcept
Create a new engine inspector which prints the layer information in an engine or an execution context...
Definition: NvInferRuntime.h:3709
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:3388
HardwareCompatibilityLevel getHardwareCompatibilityLevel() const noexcept
Return the hardware compatibility level of this engine.
Definition: NvInferRuntime.h:3745
int32_t getNbOptimizationProfiles() const noexcept
Get the number of optimization profiles defined for this engine.
Definition: NvInferRuntime.h:3562
TRT_DEPRECATED IExecutionContext * createExecutionContextWithoutDeviceMemory() noexcept
create an execution context without any device memory allocated
Definition: NvInferRuntime.h:3258
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:3503
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:3874
TensorIOMode getTensorIOMode(char const *tensorName) const noexcept
Determine whether a tensor is an input or output tensor.
Definition: NvInferRuntime.h:3246
int32_t getNbLayers() const noexcept
Get the number of layers in the network.
Definition: NvInferRuntime.h:3163
int32_t getNbIOTensors() const noexcept
Return number of IO tensors.
Definition: NvInferRuntime.h:3722
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:3409
bool isRefittable() const noexcept
Return true if an engine can be refit.
Definition: NvInferRuntime.h:3349
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:5139
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:5192
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:5249
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:5234
IExecutionContext const * getExecutionContext() const noexcept
Get the context currently being inspected.
Definition: NvInferRuntime.h:5167
apiv::VEngineInspector * mImpl
Definition: NvInferRuntime.h:5255
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:5215
Context for executing inference using an engine, with functionally unsafe features.
Definition: NvInferRuntime.h:4190
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:4825
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:4473
bool reportToProfiler() const noexcept
Calculate layer timing info for the current optimization profile in IExecutionContext and update the ...
Definition: NvInferRuntime.h:4592
virtual ~IExecutionContext() noexcept=default
void setDeviceMemory(void *memory) noexcept
Set the device memory for use by this execution context.
Definition: NvInferRuntime.h:4293
TRT_DEPRECATED bool allInputShapesSpecified() const noexcept
Whether all input shape bindings have been specified.
Definition: NvInferRuntime.h:4439
bool setTensorDebugState(char const *name, bool flag) noexcept
Set debug state of tensor given the tensor name.
Definition: NvInferRuntime.h:5032
char const * getName() const noexcept
Return the name of the execution context.
Definition: NvInferRuntime.h:4266
IGpuAllocator * getTemporaryStorageAllocator() const noexcept
Get allocator set by setTemporaryStorageAllocator.
Definition: NvInferRuntime.h:4873
void setEnqueueEmitsProfile(bool enqueueEmitsProfile) noexcept
Set whether enqueue emits layer timing to the profiler.
Definition: NvInferRuntime.h:4550
bool setUnfusedTensorsDebugState(bool flag) noexcept
Turn the debug state of unfused tensors on or off.
Definition: NvInferRuntime.h:5083
Dims getTensorShape(char const *tensorName) const noexcept
Return the shape of the given input or output.
Definition: NvInferRuntime.h:4406
bool getDebugState(char const *name) const noexcept
Get the debug state.
Definition: NvInferRuntime.h:5044
bool setInputShape(char const *tensorName, Dims const &dims) noexcept
Set shape of given input.
Definition: NvInferRuntime.h:4369
bool executeV2(void *const *bindings) noexcept
Synchronously execute a network.
Definition: NvInferRuntime.h:4490
bool getEnqueueEmitsProfile() const noexcept
Get the enqueueEmitsProfile state.
Definition: NvInferRuntime.h:4562
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:4653
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:4812
bool setOptimizationProfileAsync(int32_t profileIndex, cudaStream_t stream) noexcept
Select an optimization profile for the current context with async semantics.
Definition: NvInferRuntime.h:4534
apiv::VExecutionContext * mImpl
Definition: NvInferRuntime.h:5099
bool setOutputTensorAddress(char const *tensorName, void *data) noexcept
Set the memory address for a given output tensor.
Definition: NvInferRuntime.h:4676
void setPersistentCacheLimit(size_t size) noexcept
Set the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:4913
size_t getPersistentCacheLimit() const noexcept
Get the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:4924
bool setAllTensorsDebugState(bool flag) noexcept
Turn the debug state of all debug tensors on or off.
Definition: NvInferRuntime.h:5067
ICudaEngine const & getEngine() const noexcept
Get the associated engine.
Definition: NvInferRuntime.h:4242
ProfilingVerbosity getNvtxVerbosity() const noexcept
Get the NVTX verbosity of the execution context.
Definition: NvInferRuntime.h:4960
size_t updateDeviceMemorySizeForShapes() noexcept
Recompute the internal activation buffer sizes based on the current input shapes, and return the tota...
Definition: NvInferRuntime.h:4767
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:4991
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:4843
int32_t inferShapes(int32_t nbMaxNames, char const **tensorNames) noexcept
Run shape calculations.
Definition: NvInferRuntime.h:4750
bool setDebugListener(IDebugListener *listener) noexcept
Set DebugListener for this execution context.
Definition: NvInferRuntime.h:5003
bool setTensorAddress(char const *tensorName, void *data) noexcept
Set memory address for given input or output tensor.
Definition: NvInferRuntime.h:4636
bool setTemporaryStorageAllocator(IGpuAllocator *allocator) noexcept
Specify allocator to use for internal temporary storage.
Definition: NvInferRuntime.h:4863
void * getOutputTensorAddress(char const *tensorName) const noexcept
Get memory address for given output.
Definition: NvInferRuntime.h:4717
bool enqueueV3(cudaStream_t stream) noexcept
Enqueue inference on a stream.
Definition: NvInferRuntime.h:4897
IDebugListener * getDebugListener() noexcept
Get the DebugListener of this execution context.
Definition: NvInferRuntime.h:5013
int32_t getOptimizationProfile() const noexcept
Get the index of the currently selected optimization profile.
Definition: NvInferRuntime.h:4351
bool setInputTensorAddress(char const *tensorName, void const *data) noexcept
Set memory address for given input.
Definition: NvInferRuntime.h:4698
bool getDebugSync() const noexcept
Get the debug sync flag.
Definition: NvInferRuntime.h:4212
bool setInputConsumedEvent(cudaEvent_t event) noexcept
Mark input as consumed.
Definition: NvInferRuntime.h:4783
Dims getTensorStrides(char const *tensorName) const noexcept
Return the strides of the buffer for the given tensor name.
Definition: NvInferRuntime.h:4336
bool setNvtxVerbosity(ProfilingVerbosity verbosity) noexcept
Set the verbosity of the NVTX markers in the execution context.
Definition: NvInferRuntime.h:4948
IProfiler * getProfiler() const noexcept
Get the profiler.
Definition: NvInferRuntime.h:4232
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:4458
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:4315
bool allInputDimensionsSpecified() const noexcept
Whether all dynamic dimensions of input tensors have been specified.
Definition: NvInferRuntime.h:4422
bool getUnfusedTensorsDebugState() const noexcept
Get the debug state of unfused tensors.
Definition: NvInferRuntime.h:5093
void setProfiler(IProfiler *profiler) noexcept
Set the profiler.
Definition: NvInferRuntime.h:4222
void setName(char const *name) noexcept
Set the name of the execution context.
Definition: NvInferRuntime.h:4256
cudaEvent_t getInputConsumedEvent() const noexcept
The event associated with consuming the input.
Definition: NvInferRuntime.h:4793
IRuntimeConfig * getRuntimeConfig() const noexcept
Get the runtime config object used during execution context creation.
Definition: NvInferRuntime.h:5054
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:5353
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:1542
virtual ~ILogger()=default
Severity
The severity corresponding to a log message.
Definition: NvInferRuntime.h:1550
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:2627
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:2748
apiv::VOptimizationProfile * mImpl
Definition: NvInferRuntime.h:2864
Dims getDimensions(char const *inputName, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum dimensions for a dynamic input tensor.
Definition: NvInferRuntime.h:2668
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:2720
virtual ~IOptimizationProfile() noexcept=default
float getExtraMemoryTarget() const noexcept
Get the extra memory target that has been defined for this profile.
Definition: NvInferRuntime.h:2778
bool setExtraMemoryTarget(float target) noexcept
Set a target for extra GPU memory that may be used by this profile.
Definition: NvInferRuntime.h:2766
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:2656
bool isValid() const noexcept
Check whether the optimization profile can be passed to an IBuilderConfig object.
Definition: NvInferRuntime.h:2795
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:2858
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:2845
int32_t getNbShapeValues(char const *inputName) const noexcept
Get the number of values for an input shape tensor.
Definition: NvInferRuntime.h:2734
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:767
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:2147
bool refitCudaEngineAsync(cudaStream_t stream) noexcept
Enqueue weights refitting of the associated engine on the given stream.
Definition: NvInferRuntime.h:2549
int32_t getMaxThreads() const noexcept
get the maximum number of threads that can be used by the refitter.
Definition: NvInferRuntime.h:2428
TensorLocation getWeightsLocation(char const *weightsName) const noexcept
Get location for the weights associated with the given name.
Definition: NvInferRuntime.h:2487
bool setNamedWeights(char const *name, Weights weights) noexcept
Specify new weights of given name.
Definition: NvInferRuntime.h:2352
int32_t getAllWeights(int32_t size, char const **weightsNames) noexcept
Get names of all weights that could be refit.
Definition: NvInferRuntime.h:2388
ILogger * getLogger() const noexcept
get the logger with which the refitter was created
Definition: NvInferRuntime.h:2398
bool refitCudaEngine() noexcept
Refits associated engine.
Definition: NvInferRuntime.h:2183
int32_t getMissingWeights(int32_t size, char const **weightsNames) noexcept
Get names of missing weights.
Definition: NvInferRuntime.h:2372
TRT_DEPRECATED float getDynamicRangeMax(char const *tensorName) const noexcept
Get maximum of dynamic range.
Definition: NvInferRuntime.h:2275
int32_t getMissing(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of missing weights.
Definition: NvInferRuntime.h:2204
Weights getNamedWeights(char const *weightsName) const noexcept
Get weights associated with the given name.
Definition: NvInferRuntime.h:2471
bool unsetNamedWeights(char const *weightsName) noexcept
Unset weights associated with the given name.
Definition: NvInferRuntime.h:2503
Weights getWeightsPrototype(char const *weightsName) const noexcept
Get the Weights prototype associated with the given name.
Definition: NvInferRuntime.h:2567
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:2414
TRT_DEPRECATED float getDynamicRangeMin(char const *tensorName) const noexcept
Get minimum of dynamic range.
Definition: NvInferRuntime.h:2259
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:2293
bool setNamedWeights(char const *name, Weights weights, TensorLocation location) noexcept
Specify new weights on a specified device of given name.
Definition: NvInferRuntime.h:2455
void setWeightsValidation(bool weightsValidation) noexcept
Set whether to validate weights during refitting.
Definition: NvInferRuntime.h:2519
TRT_DEPRECATED bool setDynamicRange(char const *tensorName, float min, float max) noexcept
Definition: NvInferRuntime.h:2243
apiv::VRefitter * mImpl
Definition: NvInferRuntime.h:2573
int32_t getAll(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of all weights that could be refit.
Definition: NvInferRuntime.h:2221
virtual ~IRefitter() noexcept=default
bool getWeightsValidation() const noexcept
Get whether to validate weights values during refitting.
Definition: NvInferRuntime.h:2527
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:2312
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:2327
A class for runtime configuration. This class is used during execution context creation.
Definition: NvInferRuntime.h:3083
virtual ~IRuntimeConfig() noexcept=default
apiv::VRuntimeConfig * mImpl
Definition: NvInferRuntime.h:3109
ExecutionContextAllocationStrategy getExecutionContextAllocationStrategy() const noexcept
Get the execution context allocation strategy.
Definition: NvInferRuntime.h:3102
Allows a serialized functionally unsafe engine to be deserialized.
Definition: NvInferRuntime.h:1819
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:1992
IRuntime * loadRuntime(char const *path) noexcept
Load IRuntime from the file.
Definition: NvInferRuntime.h:2108
bool getEngineHostCodeAllowed() const noexcept
Get whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:2130
TempfileControlFlags getTempfileControlFlags() const noexcept
Get the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:2080
void setEngineHostCodeAllowed(bool allowed) noexcept
Set whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:2120
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:2041
IPluginRegistry & getPluginRegistry() noexcept
Get the local plugin registry that can be used by the runtime.
Definition: NvInferRuntime.h:2090
apiv::VRuntime * mImpl
Definition: NvInferRuntime.h:2136
int32_t getNbDLACores() const noexcept
Returns number of DLA hardware cores accessible or 0 if DLA is unavailable.
Definition: NvInferRuntime.h:1852
ICudaEngine * deserializeCudaEngine(void const *blob, std::size_t size) noexcept
Deserialize an engine from host memory.
Definition: NvInferRuntime.h:1920
void setTempfileControlFlags(TempfileControlFlags flags) noexcept
Set the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:2068
int32_t getDLACore() const noexcept
Get the DLA core that the engine executes on.
Definition: NvInferRuntime.h:1844
void setGpuAllocator(IGpuAllocator *allocator) noexcept
Set the GPU allocator.
Definition: NvInferRuntime.h:1868
IErrorRecorder * getErrorRecorder() const noexcept
get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:1902
ICudaEngine * deserializeCudaEngine(IStreamReaderV2 &streamReader)
Deserialize an engine from a stream. IStreamReaderV2 is expected to support reading to both host and ...
Definition: NvInferRuntime.h:1967
ILogger * getLogger() const noexcept
get the logger with which the runtime was created
Definition: NvInferRuntime.h:1977
int32_t getMaxThreads() const noexcept
Get the maximum number of threads that can be used by the runtime.
Definition: NvInferRuntime.h:2006
char const * getTemporaryDirectory() const noexcept
Get the directory that will be used by this runtime for temporary files.
Definition: NvInferRuntime.h:2052
TRT_DEPRECATED ICudaEngine * deserializeCudaEngine(IStreamReader &streamReader)
Deserialize an engine from a stream.
Definition: NvInferRuntime.h:1944
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:1887
Holds properties for configuring an engine to serialize the binary.
Definition: NvInferRuntime.h:2974
virtual ~ISerializationConfig() noexcept=default
bool clearFlag(SerializationFlag serializationFlag) noexcept
clear a serialization flag.
Definition: NvInferRuntime.h:3013
bool setFlag(SerializationFlag serializationFlag) noexcept
Set a serialization flag.
Definition: NvInferRuntime.h:3025
SerializationFlags getFlags() const noexcept
Get the serialization flags for this config.
Definition: NvInferRuntime.h:3001
bool getFlag(SerializationFlag serializationFlag) const noexcept
Returns true if the serialization flag is set.
Definition: NvInferRuntime.h:3037
apiv::VSerializationConfig * mImpl
Definition: NvInferRuntime.h:3043
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:5325
PluginRegistrar()
Definition: NvInferRuntime.h:5327
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:4141
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:4146
~IDebugListener() override=default
Definition: NvInferRuntimeBase.h:413
Definition: NvInferRuntime.h:1610
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:1732
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:1773
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:1679
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:1765
Definition: NvInferRuntime.h:5374
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:5461
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:5485
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:5493
~IGpuAsyncAllocator() override=default
Definition: NvInferRuntime.h:4054
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:4059
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:4111
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:4083
Definition: NvInferPluginBase.h:141
Definition: NvInferPluginBase.h:193
Definition: NvInferRuntime.h:5500
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:5505
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:836
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:1040
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:1016
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:1051
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:1032
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:848
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:1008
Definition: NvInferRuntime.h:793
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:798
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:1058
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:1063
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:1075
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:1246
virtual ~IProfiler() noexcept
Definition: NvInferRuntime.h:1257
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:695
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:707
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:1155
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:1191
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:1157
IRefitter * createInferRefitter(ICudaEngine &engine, ILogger &logger) noexcept
Create an instance of an IRefitter class.
Definition: NvInferRuntime.h:5305
IRuntime * createInferRuntime(ILogger &logger) noexcept
Create an instance of an IRuntime class.
Definition: NvInferRuntime.h:5294
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:2913
v_1_0::IOutputAllocator IOutputAllocator
Definition: NvInferRuntime.h:4136
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:1208
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:2954
@ kEXCLUDE_WEIGHTS
Exclude the weights that can be refitted.
v_1_0::IProfiler IProfiler
Definition: NvInferRuntime.h:1272
SeekPosition
Controls the seek mode of IStreamReaderV2.
Definition: NvInferRuntime.h:681
@ 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:751
uint32_t TempfileControlFlags
Represents a collection of one or more TempfileControlFlag values combined using bitwise-OR operation...
Definition: NvInferRuntime.h:1350
v_1_0::IGpuAllocator IGpuAllocator
Definition: NvInferRuntime.h:1809
constexpr int32_t EnumMax< WeightsRole >() noexcept
Maximum number of elements in WeightsRole enum.
Definition: NvInferRuntime.h:1293
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:5118
DataType
The type of weights and tensors.
Definition: NvInferRuntimeBase.h:143
DeviceType
The device that this layer/network will execute on.
Definition: NvInferRuntime.h:1304
@ kCONSTANT
Constant layer.
v_1_0::IDebugListener IDebugListener
Definition: NvInferRuntime.h:4177
TempfileControlFlag
Flags used to control TensorRT's behavior when creating executable temporary files.
Definition: NvInferRuntime.h:1327
@ 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:2599
WeightsRole
How a layer uses particular Weights.
Definition: NvInferRuntime.h:1282
@ 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:2933
ProfilingVerbosity
List of verbosity levels of layer information exposed in NVTX annotations and in IEngineInspector.
Definition: NvInferRuntime.h:2925
@ 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:2876
@ kEDGE_MASK_CONVOLUTIONS
TensorFormat PluginFormat
PluginFormat is reserved for backward compatibility.
Definition: NvInferRuntimePlugin.h:54
v_1_0::IPluginV3OneRuntime IPluginV3OneRuntime
Definition: NvInferRuntime.h:1232
@ kMIN
Minimum of the two elements.
constexpr int32_t EnumMax< TempfileControlFlag >() noexcept
Maximum number of elements in TempfileControlFlag enum.
Definition: NvInferRuntime.h:1339
uint32_t SerializationFlags
Represents one or more SerializationFlag values using binary OR operations, e.g., 1U << Serialization...
Definition: NvInferRuntime.h:2944
@ kLINEAR
Supports linear (1D), bilinear (2D), and trilinear (3D) interpolation.
v_1_0::IPluginV3OneBuild IPluginV3OneBuild
Definition: NvInferRuntime.h:1220
TensorFormat
Format of the input/output tensors.
Definition: NvInferRuntime.h:1384
ExecutionContextAllocationStrategy
Different memory allocation behaviors for IExecutionContext.
Definition: NvInferRuntime.h:3058
@ 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:2902
LayerInformationFormat
The format in which the IEngineInspector prints the layer information.
Definition: NvInferRuntime.h:5110
@ kJSON
Print layer information in JSON format.
@ kONELINE
Print layer information in one line per layer.
v_1_0::IStreamReader IStreamReader
Definition: NvInferRuntime.h:674
AllocatorFlag
Allowed type of memory allocation.
Definition: NvInferRuntime.h:1508
@ 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:1311
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:3070
constexpr int32_t EnumMax< SerializationFlag >() noexcept
Maximum number of serialization flags in SerializationFlag enum.
Definition: NvInferRuntime.h:2961
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:2587
@ kOPT
This is used to set or get the value that is used in the optimization (kernel selection).
uint32_t AllocatorFlags
Definition: NvInferRuntime.h:1524
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