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;
1008 static constexpr int32_t kVALUE = 13;
1030 static constexpr int32_t kVALUE = 1;
1112 static constexpr int32_t kVALUE = 5;
1147 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags)
noexcept = 0;
1189 virtual void*
reallocate(
void*
const , uint64_t , uint64_t )
noexcept
1243 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags, cudaStream_t )
noexcept
1245 return allocate(size, alignment, flags);
1285 return {
"IGpuAllocator", 1, 0};
1346 mImpl->setDLACore(dlaCore);
1356 return mImpl->getDLACore();
1364 return mImpl->getNbDLACores();
1380 mImpl->setGpuAllocator(allocator);
1399 mImpl->setErrorRecorder(recorder);
1414 return mImpl->getErrorRecorder();
1432 return mImpl->deserializeCudaEngine(blob, size);
1455 return mImpl->deserializeCudaEngineV2(streamReader);
1465 return mImpl->getLogger();
1480 return mImpl->setMaxThreads(maxThreads);
1494 return mImpl->getMaxThreads();
1529 return mImpl->setTemporaryDirectory(path);
1540 return mImpl->getTemporaryDirectory();
1556 return mImpl->setTempfileControlFlags(flags);
1568 return mImpl->getTempfileControlFlags();
1578 return mImpl->getPluginRegistry();
1596 return mImpl->loadRuntime(path);
1608 return mImpl->setEngineHostCodeAllowed(allowed);
1618 return mImpl->getEngineHostCodeAllowed();
1654 return mImpl->setWeights(layerName, role, weights);
1671 return mImpl->refitCudaEngine();
1692 return mImpl->getMissing(size, layerNames, roles);
1709 return mImpl->getAll(size, layerNames, roles);
1728 mImpl->setErrorRecorder(recorder);
1743 return mImpl->getErrorRecorder();
1768 return mImpl->setNamedWeights(name, weights);
1788 return mImpl->getMissingWeights(size, weightsNames);
1804 return mImpl->getAllWeights(size, weightsNames);
1814 return mImpl->getLogger();
1830 return mImpl->setMaxThreads(maxThreads);
1844 return mImpl->getMaxThreads();
1871 return mImpl->setNamedWeightsWithLocation(name, weights, location);
1887 return mImpl->getNamedWeights(weightsName);
1903 return mImpl->getWeightsLocation(weightsName);
1919 return mImpl->unsetNamedWeights(weightsName);
1935 return mImpl->setWeightsValidation(weightsValidation);
1943 return mImpl->getWeightsValidation();
1965 return mImpl->refitCudaEngineAsync(stream);
1983 return mImpl->getWeightsPrototype(weightsName);
2072 return mImpl->setDimensions(inputName, select, dims);
2084 return mImpl->getDimensions(inputName, select);
2135 char const* inputName,
OptProfileSelector select, int32_t
const* values, int32_t nbValues)
noexcept
2137 return mImpl->setShapeValues(inputName, select, values, nbValues);
2150 return mImpl->getNbShapeValues(inputName);
2164 return mImpl->getShapeValues(inputName, select);
2182 return mImpl->setExtraMemoryTarget(target);
2194 return mImpl->getExtraMemoryTarget();
2211 return mImpl->isValid();
2260 char const* inputName,
OptProfileSelector select, int64_t
const* values, int32_t nbValues)
noexcept
2262 return mImpl->setShapeValuesV2(inputName, select, values, nbValues);
2274 return mImpl->getShapeValuesV2(inputName, select);
2405 return mImpl->setFlags(serializationFlags);
2417 return mImpl->getFlags();
2429 return mImpl->clearFlag(serializationFlag);
2441 return mImpl->setFlag(serializationFlag);
2453 return mImpl->getFlag(serializationFlag);
2508 return mImpl->serialize();
2519 return mImpl->deserialize(blob, size);
2527 return mImpl->reset();
2595 return mImpl->setExecutionContextAllocationStrategy(strategy);
2605 return mImpl->getExecutionContextAllocationStrategy();
2615 return mImpl->createRuntimeCache();
2625 return mImpl->setRuntimeCache(cache);
2635 return mImpl->getRuntimeCache();
2646 return mImpl->setDynamicShapesKernelSpecializationStrategy(dynamicShapesKernelSpecializationStrategy);
2656 return mImpl->getDynamicShapesKernelSpecializationStrategy();
2686 Dims getTensorShape(
char const* tensorName) const noexcept
2688 return mImpl->getTensorShape(tensorName);
2703 return mImpl->getTensorDataType(tensorName);
2717 return mImpl->getNbLayers();
2731 return mImpl->serialize();
2749 return mImpl->createExecutionContext(strategy);
2766 return mImpl->getTensorLocation(tensorName);
2786 return mImpl->isShapeInferenceIO(tensorName);
2800 return mImpl->getTensorIOMode(tensorName);
2812 return mImpl->createExecutionContextWithRuntimeConfig(runtimeConfig);
2825 return mImpl->createRuntimeConfig();
2841 return mImpl->getDeviceMemorySizeV2();
2857 return mImpl->getDeviceMemorySizeForProfileV2(profileIndex);
2867 return mImpl->isRefittable();
2888 return mImpl->getTensorBytesPerComponent(tensorName);
2906 return mImpl->getTensorBytesPerComponentV2(tensorName, profileIndex);
2927 return mImpl->getTensorComponentsPerElement(tensorName);
2945 return mImpl->getTensorComponentsPerElementV2(tensorName, profileIndex);
2960 return mImpl->getTensorFormat(tensorName);
2974 return mImpl->getTensorFormatV2(tensorName, profileIndex);
2998 return mImpl->getTensorFormatDesc(tensorName);
3021 return mImpl->getTensorFormatDescV2(tensorName, profileIndex);
3038 return mImpl->getTensorVectorizedDim(tensorName);
3054 return mImpl->getTensorVectorizedDimV2(tensorName, profileIndex);
3069 return mImpl->getName();
3080 return mImpl->getNbOptimizationProfiles();
3100 return mImpl->getProfileShape(tensorName, profileIndex, select);
3115 return mImpl->getEngineCapability();
3134 return mImpl->setErrorRecorder(recorder);
3149 return mImpl->getErrorRecorder();
3163 return mImpl->hasImplicitBatchDimension();
3179 return mImpl->getTacticSources();
3191 return mImpl->getProfilingVerbosity();
3201 return mImpl->createEngineInspector();
3214 return mImpl->getNbIOTensors();
3226 return mImpl->getIOTensorName(index);
3237 return mImpl->getHardwareCompatibilityLevel();
3252 return mImpl->getNbAuxStreams();
3262 return mImpl->createSerializationConfig();
3278 return mImpl->serializeWithConfig(config);
3294 return mImpl->getStreamableWeightsSize();
3336 return mImpl->setWeightStreamingBudgetV2(gpuMemoryBudget);
3354 return mImpl->getWeightStreamingBudgetV2();
3379 return mImpl->getWeightStreamingAutomaticBudget();
3407 return mImpl->getWeightStreamingScratchMemorySize();
3421 return mImpl->isDebugTensor(name);
3444 char const* tensorName, int32_t profileIndex,
OptProfileSelector select)
const noexcept
3446 return mImpl->getProfileTensorValuesV2(tensorName, profileIndex, select);
3463 return {
"IOutputAllocator", 1, 0};
3489 char const* tensorName,
void* currentMemory, uint64_t size, uint64_t alignment, cudaStream_t )
3525 return {
"IDebugListener", 1, 0};
3542 char const* name, cudaStream_t stream)
3579 void setDebugSync(
bool sync) noexcept
3581 mImpl->setDebugSync(sync);
3591 return mImpl->getDebugSync();
3601 mImpl->setProfiler(profiler);
3611 return mImpl->getProfiler();
3621 return mImpl->getEngine();
3635 mImpl->setName(name);
3645 return mImpl->getName();
3672 mImpl->setDeviceMemory(memory);
3694 return mImpl->setDeviceMemoryV2(memory, size);
3715 return mImpl->getTensorStrides(tensorName);
3730 return mImpl->getOptimizationProfile();
3748 return mImpl->setInputShape(tensorName, dims);
3785 return mImpl->getTensorShape(tensorName);
3801 return mImpl->allInputDimensionsSpecified();
3820 mImpl->setErrorRecorder(recorder);
3835 return mImpl->getErrorRecorder();
3852 return mImpl->executeV2(bindings);
3896 return mImpl->setOptimizationProfileAsync(profileIndex, stream);
3912 mImpl->setEnqueueEmitsProfile(enqueueEmitsProfile);
3924 return mImpl->getEnqueueEmitsProfile();
3954 return mImpl->reportToProfiler();
3998 return mImpl->setTensorAddress(tensorName, data);
4015 return mImpl->getTensorAddress(tensorName);
4038 return mImpl->setOutputTensorAddress(tensorName, data);
4060 return mImpl->setInputTensorAddress(tensorName, data);
4079 return mImpl->getOutputTensorAddress(tensorName);
4110 int32_t
inferShapes(int32_t nbMaxNames,
char const** tensorNames)
noexcept
4112 return mImpl->inferShapes(nbMaxNames, tensorNames);
4129 return mImpl->updateDeviceMemorySizeForShapes();
4145 return mImpl->setInputConsumedEvent(event);
4155 return mImpl->getInputConsumedEvent();
4174 return mImpl->setOutputAllocator(tensorName, outputAllocator);
4187 return mImpl->getOutputAllocator(tensorName);
4205 return mImpl->getMaxOutputSize(tensorName);
4225 return mImpl->setTemporaryStorageAllocator(allocator);
4235 return mImpl->getTemporaryStorageAllocator();
4259 return mImpl->enqueueV3(stream);
4275 mImpl->setPersistentCacheLimit(size);
4286 return mImpl->getPersistentCacheLimit();
4310 return mImpl->setNvtxVerbosity(verbosity);
4322 return mImpl->getNvtxVerbosity();
4353 mImpl->setAuxStreams(auxStreams, nbStreams);
4365 return mImpl->setDebugListener(listener);
4375 return mImpl->getDebugListener();
4394 return mImpl->setTensorDebugState(name, flag);
4406 return mImpl->getDebugState(name);
4416 return mImpl->getRuntimeConfig();
4429 return mImpl->setAllTensorsDebugState(flag);
4445 return mImpl->setUnfusedTensorsDebugState(flag);
4455 return mImpl->getUnfusedTensorsDebugState();
4517 return mImpl->setExecutionContext(context);
4529 return mImpl->getExecutionContext();
4554 return mImpl->getLayerInformation(layerIndex, format);
4577 return mImpl->getEngineInformation(format);
4596 mImpl->setErrorRecorder(recorder);
4611 return mImpl->getErrorRecorder();
4624extern "C" TENSORRTAPI void* createInferRuntime_INTERNAL(
void* logger, int32_t version)
noexcept;
4630extern "C" TENSORRTAPI void* createInferRefitter_INTERNAL(
void* engine,
void* logger, int32_t version)
noexcept;
4683template <
typename T>
4766 cudaStream_t )
noexcept override = 0;
4819 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags)
noexcept override
4852 return {
"IGpuAllocator", 1, 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:2672
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:2886
ISerializationConfig * createSerializationConfig() noexcept
Create a serialization configuration object.
Definition: NvInferRuntime.h:3260
char const * getIOTensorName(int32_t index) const noexcept
Return name of an IO tensor.
Definition: NvInferRuntime.h:3224
int64_t getWeightStreamingBudgetV2() const noexcept
Returns the current weight streaming device memory budget in bytes.
Definition: NvInferRuntime.h:3352
EngineCapability getEngineCapability() const noexcept
Determine what execution capability this engine has.
Definition: NvInferRuntime.h:3113
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:3147
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:2972
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:3443
TRT_DEPRECATED bool hasImplicitBatchDimension() const noexcept
Query whether the engine was built with an implicit batch dimension.
Definition: NvInferRuntime.h:3161
apiv::VCudaEngine * mImpl
Definition: NvInferRuntime.h:3450
IExecutionContext * createExecutionContext(ExecutionContextAllocationStrategy strategy=ExecutionContextAllocationStrategy::kSTATIC) noexcept
Create an execution context and specify the strategy for allocating internal activation memory.
Definition: NvInferRuntime.h:2746
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:2996
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:3098
bool setWeightStreamingBudgetV2(int64_t gpuMemoryBudget) noexcept
Limit the maximum amount of GPU memory usable for network weights in bytes.
Definition: NvInferRuntime.h:3334
IExecutionContext * createExecutionContext(IRuntimeConfig *runtimeConfig) noexcept
Create an execution context with TensorRT JIT runtime config.
Definition: NvInferRuntime.h:2810
int32_t getNbAuxStreams() const noexcept
Return the number of auxiliary streams used by this engine.
Definition: NvInferRuntime.h:3250
int64_t getStreamableWeightsSize() const noexcept
Get the total size in bytes of all streamable weights.
Definition: NvInferRuntime.h:3292
DataType getTensorDataType(char const *tensorName) const noexcept
Determine the required data type for a buffer from its tensor name.
Definition: NvInferRuntime.h:2701
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:3132
TacticSources getTacticSources() const noexcept
return the tactic sources required by this engine.
Definition: NvInferRuntime.h:3177
IHostMemory * serializeWithConfig(ISerializationConfig &config) const noexcept
Serialize the network to a stream with the provided SerializationConfig.
Definition: NvInferRuntime.h:3276
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:3377
bool isDebugTensor(char const *name) const noexcept
Check if a tensor is marked as a debug tensor.
Definition: NvInferRuntime.h:3419
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:3052
char const * getName() const noexcept
Returns the name of the network associated with the engine.
Definition: NvInferRuntime.h:3067
ProfilingVerbosity getProfilingVerbosity() const noexcept
Return the ProfilingVerbosity the builder config was set to when the engine was built.
Definition: NvInferRuntime.h:3189
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:2784
int64_t getWeightStreamingScratchMemorySize() const noexcept
Returns the size of the scratch memory required by the current weight streaming budget.
Definition: NvInferRuntime.h:3405
int64_t getDeviceMemorySizeV2() const noexcept
Return the maximum device memory required by the context over all profiles.
Definition: NvInferRuntime.h:2839
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:3036
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:2943
int64_t getDeviceMemorySizeForProfileV2(int32_t profileIndex) const noexcept
Return the maximum device memory required by the context for a profile.
Definition: NvInferRuntime.h:2855
IRuntimeConfig * createRuntimeConfig() noexcept
Create a runtime config for TensorRT JIT. The caller is responsible for ownership of the returned IRu...
Definition: NvInferRuntime.h:2823
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:2958
IHostMemory * serialize() const noexcept
Serialize the network to a stream.
Definition: NvInferRuntime.h:2729
TensorLocation getTensorLocation(char const *tensorName) const noexcept
Get whether an input or output tensor must be on GPU or CPU.
Definition: NvInferRuntime.h:2764
IEngineInspector * createEngineInspector() const noexcept
Create a new engine inspector which prints the layer information in an engine or an execution context...
Definition: NvInferRuntime.h:3199
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:2904
HardwareCompatibilityLevel getHardwareCompatibilityLevel() const noexcept
Return the hardware compatibility level of this engine.
Definition: NvInferRuntime.h:3235
int32_t getNbOptimizationProfiles() const noexcept
Get the number of optimization profiles defined for this engine.
Definition: NvInferRuntime.h:3078
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:3019
TensorIOMode getTensorIOMode(char const *tensorName) const noexcept
Determine whether a tensor is an input or output tensor.
Definition: NvInferRuntime.h:2798
int32_t getNbLayers() const noexcept
Get the number of layers in the network.
Definition: NvInferRuntime.h:2715
int32_t getNbIOTensors() const noexcept
Return number of IO tensors.
Definition: NvInferRuntime.h:3212
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:2925
bool isRefittable() const noexcept
Return true if an engine can be refit.
Definition: NvInferRuntime.h:2865
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:4499
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:4552
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:4609
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:4594
IExecutionContext const * getExecutionContext() const noexcept
Get the context currently being inspected.
Definition: NvInferRuntime.h:4527
apiv::VEngineInspector * mImpl
Definition: NvInferRuntime.h:4615
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:4575
Context for executing inference using an engine, with functionally unsafe features.
Definition: NvInferRuntime.h:3567
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:4185
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:3833
bool reportToProfiler() const noexcept
Calculate layer timing info for the current optimization profile in IExecutionContext and update the ...
Definition: NvInferRuntime.h:3952
virtual ~IExecutionContext() noexcept=default
void setDeviceMemory(void *memory) noexcept
Set the device memory for use by this execution context.
Definition: NvInferRuntime.h:3670
bool setTensorDebugState(char const *name, bool flag) noexcept
Set debug state of tensor given the tensor name.
Definition: NvInferRuntime.h:4392
char const * getName() const noexcept
Return the name of the execution context.
Definition: NvInferRuntime.h:3643
IGpuAllocator * getTemporaryStorageAllocator() const noexcept
Get allocator set by setTemporaryStorageAllocator.
Definition: NvInferRuntime.h:4233
void setEnqueueEmitsProfile(bool enqueueEmitsProfile) noexcept
Set whether enqueue emits layer timing to the profiler.
Definition: NvInferRuntime.h:3910
bool setUnfusedTensorsDebugState(bool flag) noexcept
Turn the debug state of unfused tensors on or off.
Definition: NvInferRuntime.h:4443
Dims getTensorShape(char const *tensorName) const noexcept
Return the shape of the given input or output.
Definition: NvInferRuntime.h:3783
bool getDebugState(char const *name) const noexcept
Get the debug state.
Definition: NvInferRuntime.h:4404
bool setInputShape(char const *tensorName, Dims const &dims) noexcept
Set shape of given input.
Definition: NvInferRuntime.h:3746
bool executeV2(void *const *bindings) noexcept
Synchronously execute a network.
Definition: NvInferRuntime.h:3850
bool getEnqueueEmitsProfile() const noexcept
Get the enqueueEmitsProfile state.
Definition: NvInferRuntime.h:3922
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:4013
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:4172
bool setOptimizationProfileAsync(int32_t profileIndex, cudaStream_t stream) noexcept
Select an optimization profile for the current context with async semantics.
Definition: NvInferRuntime.h:3894
apiv::VExecutionContext * mImpl
Definition: NvInferRuntime.h:4459
bool setOutputTensorAddress(char const *tensorName, void *data) noexcept
Set the memory address for a given output tensor.
Definition: NvInferRuntime.h:4036
void setPersistentCacheLimit(size_t size) noexcept
Set the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:4273
size_t getPersistentCacheLimit() const noexcept
Get the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:4284
bool setAllTensorsDebugState(bool flag) noexcept
Turn the debug state of all debug tensors on or off.
Definition: NvInferRuntime.h:4427
ICudaEngine const & getEngine() const noexcept
Get the associated engine.
Definition: NvInferRuntime.h:3619
ProfilingVerbosity getNvtxVerbosity() const noexcept
Get the NVTX verbosity of the execution context.
Definition: NvInferRuntime.h:4320
size_t updateDeviceMemorySizeForShapes() noexcept
Recompute the internal activation buffer sizes based on the current input shapes, and return the tota...
Definition: NvInferRuntime.h:4127
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:4351
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:4203
int32_t inferShapes(int32_t nbMaxNames, char const **tensorNames) noexcept
Run shape calculations.
Definition: NvInferRuntime.h:4110
bool setDebugListener(IDebugListener *listener) noexcept
Set DebugListener for this execution context.
Definition: NvInferRuntime.h:4363
bool setTensorAddress(char const *tensorName, void *data) noexcept
Set memory address for given input or output tensor.
Definition: NvInferRuntime.h:3996
bool setTemporaryStorageAllocator(IGpuAllocator *allocator) noexcept
Specify allocator to use for internal temporary storage.
Definition: NvInferRuntime.h:4223
void * getOutputTensorAddress(char const *tensorName) const noexcept
Get memory address for given output.
Definition: NvInferRuntime.h:4077
bool enqueueV3(cudaStream_t stream) noexcept
Enqueue inference on a stream.
Definition: NvInferRuntime.h:4257
IDebugListener * getDebugListener() noexcept
Get the DebugListener of this execution context.
Definition: NvInferRuntime.h:4373
int32_t getOptimizationProfile() const noexcept
Get the index of the currently selected optimization profile.
Definition: NvInferRuntime.h:3728
bool setInputTensorAddress(char const *tensorName, void const *data) noexcept
Set memory address for given input.
Definition: NvInferRuntime.h:4058
bool getDebugSync() const noexcept
Get the debug sync flag.
Definition: NvInferRuntime.h:3589
bool setInputConsumedEvent(cudaEvent_t event) noexcept
Mark input as consumed.
Definition: NvInferRuntime.h:4143
Dims getTensorStrides(char const *tensorName) const noexcept
Return the strides of the buffer for the given tensor name.
Definition: NvInferRuntime.h:3713
bool setNvtxVerbosity(ProfilingVerbosity verbosity) noexcept
Set the verbosity of the NVTX markers in the execution context.
Definition: NvInferRuntime.h:4308
IProfiler * getProfiler() const noexcept
Get the profiler.
Definition: NvInferRuntime.h:3609
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:3818
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:3692
bool allInputDimensionsSpecified() const noexcept
Whether all dynamic dimensions of input tensors have been specified.
Definition: NvInferRuntime.h:3799
bool getUnfusedTensorsDebugState() const noexcept
Get the debug state of unfused tensors.
Definition: NvInferRuntime.h:4453
void setProfiler(IProfiler *profiler) noexcept
Set the profiler.
Definition: NvInferRuntime.h:3599
void setName(char const *name) noexcept
Set the name of the execution context.
Definition: NvInferRuntime.h:3633
cudaEvent_t getInputConsumedEvent() const noexcept
The event associated with consuming the input.
Definition: NvInferRuntime.h:4153
IRuntimeConfig * getRuntimeConfig() const noexcept
Get the runtime config object used during execution context creation.
Definition: NvInferRuntime.h:4414
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:4710
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:1052
virtual ~ILogger()=default
Severity
The severity corresponding to a log message.
Definition: NvInferRuntime.h:1060
@ kWARNING
An application error has been discovered, but TensorRT has recovered or fallen back to a default.
@ kERROR
An application error has occurred.
@ kINFO
Informational messages with instructional information.
@ kINTERNAL_ERROR
An internal error has occurred. Execution is unrecoverable.
@ kVERBOSE
Verbose messages with debugging information.
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:2041
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:2162
apiv::VOptimizationProfile * mImpl
Definition: NvInferRuntime.h:2278
Dims getDimensions(char const *inputName, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum dimensions for a dynamic input tensor.
Definition: NvInferRuntime.h:2082
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:2134
virtual ~IOptimizationProfile() noexcept=default
float getExtraMemoryTarget() const noexcept
Get the extra memory target that has been defined for this profile.
Definition: NvInferRuntime.h:2192
bool setExtraMemoryTarget(float target) noexcept
Set a target for extra GPU memory that may be used by this profile.
Definition: NvInferRuntime.h:2180
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:2070
bool isValid() const noexcept
Check whether the optimization profile can be passed to an IBuilderConfig object.
Definition: NvInferRuntime.h:2209
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:2272
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:2259
int32_t getNbShapeValues(char const *inputName) const noexcept
Get the number of values for an input shape tensor.
Definition: NvInferRuntime.h:2148
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...
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:1633
bool setWeights(char const *layerName, WeightsRole role, Weights weights) noexcept
Specify new weights for a layer of given name. Returns true on success, or false if new weights are r...
Definition: NvInferRuntime.h:1652
bool refitCudaEngineAsync(cudaStream_t stream) noexcept
Enqueue weights refitting of the associated engine on the given stream.
Definition: NvInferRuntime.h:1963
int32_t getMaxThreads() const noexcept
get the maximum number of threads that can be used by the refitter.
Definition: NvInferRuntime.h:1842
TensorLocation getWeightsLocation(char const *weightsName) const noexcept
Get location for the weights associated with the given name.
Definition: NvInferRuntime.h:1901
bool setNamedWeights(char const *name, Weights weights) noexcept
Specify new weights of given name.
Definition: NvInferRuntime.h:1766
int32_t getAllWeights(int32_t size, char const **weightsNames) noexcept
Get names of all weights that could be refit.
Definition: NvInferRuntime.h:1802
ILogger * getLogger() const noexcept
get the logger with which the refitter was created
Definition: NvInferRuntime.h:1812
bool refitCudaEngine() noexcept
Refits associated engine.
Definition: NvInferRuntime.h:1669
int32_t getMissingWeights(int32_t size, char const **weightsNames) noexcept
Get names of missing weights.
Definition: NvInferRuntime.h:1786
int32_t getMissing(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of missing weights.
Definition: NvInferRuntime.h:1690
Weights getNamedWeights(char const *weightsName) const noexcept
Get weights associated with the given name.
Definition: NvInferRuntime.h:1885
bool unsetNamedWeights(char const *weightsName) noexcept
Unset weights associated with the given name.
Definition: NvInferRuntime.h:1917
Weights getWeightsPrototype(char const *weightsName) const noexcept
Get the Weights prototype associated with the given name.
Definition: NvInferRuntime.h:1981
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:1828
bool setNamedWeights(char const *name, Weights weights, TensorLocation location) noexcept
Specify new weights on a specified device of given name.
Definition: NvInferRuntime.h:1869
void setWeightsValidation(bool weightsValidation) noexcept
Set whether to validate weights during refitting.
Definition: NvInferRuntime.h:1933
apiv::VRefitter * mImpl
Definition: NvInferRuntime.h:1987
int32_t getAll(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of all weights that could be refit.
Definition: NvInferRuntime.h:1707
virtual ~IRefitter() noexcept=default
bool getWeightsValidation() const noexcept
Get whether to validate weights values during refitting.
Definition: NvInferRuntime.h:1941
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:1726
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:1741
A class for Runtime cache currently used for TensorRT JIT compilation. This cache can be serialized a...
Definition: NvInferRuntime.h:2497
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:2517
bool reset() noexcept
Reset the Runtime cache. Clears all content within the cache.
Definition: NvInferRuntime.h:2525
apiv::VRuntimeCache * mImpl
Definition: NvInferRuntime.h:2531
A class for runtime configuration. This class is used during execution context creation.
Definition: NvInferRuntime.h:2584
DynamicShapesKernelSpecializationStrategy getDynamicShapesKernelSpecializationStrategy() const noexcept
Return the dynamic shape specialization strategy of this config.
Definition: NvInferRuntime.h:2654
virtual ~IRuntimeConfig() noexcept=default
apiv::VRuntimeConfig * mImpl
Definition: NvInferRuntime.h:2661
IRuntimeCache * createRuntimeCache() const noexcept
Create an empty Runtime cache.
Definition: NvInferRuntime.h:2613
ExecutionContextAllocationStrategy getExecutionContextAllocationStrategy() const noexcept
Get the execution context allocation strategy.
Definition: NvInferRuntime.h:2603
bool setRuntimeCache(IRuntimeCache const &cache) noexcept
Set Runtime cache to the runtime config. Enables Runtime caching.
Definition: NvInferRuntime.h:2623
void setDynamicShapesKernelSpecializationStrategy(DynamicShapesKernelSpecializationStrategy dynamicShapesKernelSpecializationStrategy) noexcept
Set the dynamic shape kernel specialization strategy for this config.
Definition: NvInferRuntime.h:2643
IRuntimeCache * getRuntimeCache() const noexcept
Get the Runtime cache from the runtime config.
Definition: NvInferRuntime.h:2633
Allows a serialized functionally unsafe engine to be deserialized.
Definition: NvInferRuntime.h:1329
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:1478
IRuntime * loadRuntime(char const *path) noexcept
Load IRuntime from the file.
Definition: NvInferRuntime.h:1594
bool getEngineHostCodeAllowed() const noexcept
Get whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:1616
TempfileControlFlags getTempfileControlFlags() const noexcept
Get the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:1566
void setEngineHostCodeAllowed(bool allowed) noexcept
Set whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:1606
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:1527
IPluginRegistry & getPluginRegistry() noexcept
Get the local plugin registry that can be used by the runtime.
Definition: NvInferRuntime.h:1576
apiv::VRuntime * mImpl
Definition: NvInferRuntime.h:1622
void setDLACore(int32_t dlaCore) noexcept
Sets the DLA core used by the network. Defaults to -1.
Definition: NvInferRuntime.h:1344
int32_t getNbDLACores() const noexcept
Returns number of DLA hardware cores accessible or 0 if DLA is unavailable.
Definition: NvInferRuntime.h:1362
ICudaEngine * deserializeCudaEngine(void const *blob, std::size_t size) noexcept
Deserialize an engine from host memory.
Definition: NvInferRuntime.h:1430
void setTempfileControlFlags(TempfileControlFlags flags) noexcept
Set the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:1554
int32_t getDLACore() const noexcept
Get the DLA core that the engine executes on.
Definition: NvInferRuntime.h:1354
void setGpuAllocator(IGpuAllocator *allocator) noexcept
Set the GPU allocator.
Definition: NvInferRuntime.h:1378
IErrorRecorder * getErrorRecorder() const noexcept
get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:1412
ICudaEngine * deserializeCudaEngine(IStreamReaderV2 &streamReader)
Deserialize an engine from a stream. IStreamReaderV2 is expected to support reading to both host and ...
Definition: NvInferRuntime.h:1453
ILogger * getLogger() const noexcept
get the logger with which the runtime was created
Definition: NvInferRuntime.h:1463
int32_t getMaxThreads() const noexcept
Get the maximum number of threads that can be used by the runtime.
Definition: NvInferRuntime.h:1492
char const * getTemporaryDirectory() const noexcept
Get the directory that will be used by this runtime for temporary files.
Definition: NvInferRuntime.h:1538
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:1397
Holds properties for configuring an engine to serialize the binary.
Definition: NvInferRuntime.h:2388
virtual ~ISerializationConfig() noexcept=default
bool clearFlag(SerializationFlag serializationFlag) noexcept
clear a serialization flag.
Definition: NvInferRuntime.h:2427
bool setFlag(SerializationFlag serializationFlag) noexcept
Set a serialization flag.
Definition: NvInferRuntime.h:2439
SerializationFlags getFlags() const noexcept
Get the serialization flags for this config.
Definition: NvInferRuntime.h:2415
bool getFlag(SerializationFlag serializationFlag) const noexcept
Returns true if the serialization flag is set.
Definition: NvInferRuntime.h:2451
apiv::VSerializationConfig * mImpl
Definition: NvInferRuntime.h:2457
An Interface class for version control.
Definition: NvInferRuntimeBase.h:276
IVersionedInterface & operator=(IVersionedInterface const &) &=default
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:4685
PluginRegistrar()
Definition: NvInferRuntime.h:4687
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:3518
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:3523
~IDebugListener() override=default
Definition: NvInferRuntimeBase.h:413
Definition: NvInferRuntime.h:1120
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:1242
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:1283
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:1189
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:1275
Definition: NvInferRuntime.h:4731
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:4818
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:4842
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:4850
~IGpuAsyncAllocator() override=default
Definition: NvInferRuntime.h:3456
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:3461
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:3488
virtual void notifyShape(char const *tensorName, Dims const &dims) noexcept=0
Called by TensorRT when the shape of the output tensor is known.
Definition: NvInferRuntime.h:756
virtual ~IProfiler() noexcept
Definition: NvInferRuntime.h:767
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
IRefitter * createInferRefitter(ICudaEngine &engine, ILogger &logger) noexcept
Create an instance of an IRefitter class.
Definition: NvInferRuntime.h:4665
IRuntime * createInferRuntime(ILogger &logger) noexcept
Create an instance of an IRuntime class.
Definition: NvInferRuntime.h:4654
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:2327
v_1_0::IOutputAllocator IOutputAllocator
Definition: NvInferRuntime.h:3513
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.
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:8416
SerializationFlag
List of valid flags that the engine can enable when serializing the bytes.
Definition: NvInferRuntime.h:2368
@ kEXCLUDE_WEIGHTS
Exclude the weights that can be refitted.
constexpr int32_t EnumMax< DynamicShapesKernelSpecializationStrategy >() noexcept
Maximum number of dynamic shape specialization strategies in DynamicShapesKernelSpecializationStrateg...
Definition: NvInferRuntime.h:2572
v_1_0::IProfiler IProfiler
Definition: NvInferRuntime.h:782
DynamicShapesKernelSpecializationStrategy
Different kernel specialization strategies for dynamic shapes.
Definition: NvInferRuntime.h:2546
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:860
v_1_0::IGpuAllocator IGpuAllocator
Definition: NvInferRuntime.h:1319
constexpr int32_t EnumMax< WeightsRole >() noexcept
Maximum number of elements in WeightsRole enum.
Definition: NvInferRuntime.h:803
char_t AsciiChar
Definition: NvInferRuntimeBase.h:115
@ kV2_DYNAMICEXT
IPluginV2DynamicExt.
constexpr int32_t EnumMax< LayerInformationFormat >() noexcept
Definition: NvInferRuntime.h:4478
DataType
The type of weights and tensors.
Definition: NvInferRuntimeBase.h:143
DeviceType
The device that this layer/network will execute on.
Definition: NvInferRuntime.h:814
v_1_0::IDebugListener IDebugListener
Definition: NvInferRuntime.h:3554
TempfileControlFlag
Flags used to control TensorRT's behavior when creating executable temporary files.
Definition: NvInferRuntime.h:837
@ 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:2013
WeightsRole
How a layer uses particular Weights.
Definition: NvInferRuntime.h:792
@ kSHIFT
shift part of IScaleLayer
@ kANY
Any other weights role.
@ kBIAS
bias for IConvolutionLayer or IDeconvolutionLayer
@ kSCALE
scale part of IScaleLayer
@ kCONSTANT
weights for IConstantLayer
@ kKERNEL
kernel for IConvolutionLayer or IDeconvolutionLayer
constexpr int32_t EnumMax< ProfilingVerbosity >() noexcept
Maximum number of profile verbosity levels in ProfilingVerbosity enum.
Definition: NvInferRuntime.h:2347
ProfilingVerbosity
List of verbosity levels of layer information exposed in NVTX annotations and in IEngineInspector.
Definition: NvInferRuntime.h:2339
@ 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:2290
@ kEDGE_MASK_CONVOLUTIONS
TensorFormat PluginFormat
PluginFormat is reserved for backward compatibility.
Definition: NvInferRuntimePlugin.h:54
constexpr int32_t EnumMax< TempfileControlFlag >() noexcept
Maximum number of elements in TempfileControlFlag enum.
Definition: NvInferRuntime.h:849
uint32_t SerializationFlags
Represents one or more SerializationFlag values using binary OR operations, e.g., 1U << Serialization...
Definition: NvInferRuntime.h:2358
TensorFormat
Format of the input/output tensors.
Definition: NvInferRuntime.h:894
ExecutionContextAllocationStrategy
Different memory allocation behaviors for IExecutionContext.
Definition: NvInferRuntime.h:2472
@ 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:2316
LayerInformationFormat
The format in which the IEngineInspector prints the layer information.
Definition: NvInferRuntime.h:4470
@ kJSON
Print layer information in JSON format.
@ kONELINE
Print layer information in one line per layer.
v_1_0::IGpuAsyncAllocator IGpuAsyncAllocator
Definition: NvInferRuntime.h:4871
v_1_0::IStreamReader IStreamReader
Definition: NvInferRuntime.h:674
AllocatorFlag
Allowed type of memory allocation.
Definition: NvInferRuntime.h:1018
@ kRESIZABLE
TensorRT may call realloc() on this allocation.
constexpr int32_t EnumMax< DeviceType >() noexcept
Maximum number of elements in DeviceType enum.
Definition: NvInferRuntime.h:821
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:2484
constexpr int32_t EnumMax< SerializationFlag >() noexcept
Maximum number of serialization flags in SerializationFlag enum.
Definition: NvInferRuntime.h:2375
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:2001
@ kOPT
This is used to set or get the value that is used in the optimization (kernel selection).
@ kMIN
This is used to set or get the minimum permitted value for dynamic dimensions etc.
@ kMAX
This is used to set or get the maximum permitted value for dynamic dimensions etc.
uint32_t AllocatorFlags
Definition: NvInferRuntime.h:1034
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
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