18#ifndef NV_INFER_RUNTIME_H
19#define NV_INFER_RUNTIME_H
28#define NV_INFER_INTERNAL_INCLUDE 1
30#undef NV_INFER_INTERNAL_INCLUDE
36class IExecutionContext;
39class IEngineInspector;
105 static constexpr int32_t kVALUE = 3;
149 return mImpl->data();
153 std::size_t
size() const noexcept
155 return mImpl->size();
161 return mImpl->type();
215 static constexpr int32_t kVALUE = 2;
239 return mImpl->isConstant();
250 return mImpl->getConstantValue();
265 return mImpl->isSizeTensor();
294 return mImpl->constant(value);
306 return mImpl->operation(op, first, second);
340 return mImpl->declareSizeTensor(outputIndex, opt, upper);
436 int32_t outputIndex,
DimsExprs const* inputs, int32_t nbInputs,
IExprBuilder& exprBuilder) noexcept = 0;
441 static constexpr int32_t kFORMAT_COMBINATION_LIMIT = 100;
475 virtual
bool supportsFormatCombination(
476 int32_t pos,
PluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept = 0;
528 int32_t nbOutputs) const noexcept = 0;
543 void const* const* inputs,
void* const* outputs,
void* workspace, cudaStream_t stream) noexcept = 0;
553 int32_t getTensorRTVersion() const noexcept
override
567 bool const*,
PluginFormat, int32_t)
noexcept override final
582 Dims getOutputDimensions(int32_t,
Dims const*, int32_t)
noexcept override final
594 TRT_DEPRECATED bool isOutputBroadcastAcrossBatch(int32_t,
bool const*, int32_t)
const noexcept override final
606 TRT_DEPRECATED bool canBroadcastInputAcrossBatch(int32_t)
const noexcept override final
614 size_t getWorkspaceSize(int32_t)
const noexcept override final
622 int32_t enqueue(int32_t,
void const*
const*,
void*
const*,
void*, cudaStream_t)
noexcept override final
656 virtual int64_t
read(
void* destination, int64_t nbBytes) = 0;
692 virtual int64_t
write(
void const* data, int64_t nbBytes) = 0;
768 virtual int64_t
read(
void* destination, int64_t nbBytes, cudaStream_t stream)
noexcept = 0;
1054 static constexpr int32_t kVALUE = 13;
1076 static constexpr int32_t kVALUE = 1;
1158 static constexpr int32_t kVALUE = 5;
1193 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags)
noexcept = 0;
1235 virtual void*
reallocate(
void*
const , uint64_t , uint64_t )
noexcept
1289 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags, cudaStream_t )
noexcept
1291 return allocate(size, alignment, flags);
1331 return {
"IGpuAllocator", 1, 0};
1390 static constexpr int32_t kVALUE = 3;
1448 mImpl->setDLACore(dlaCore);
1458 return mImpl->getDLACore();
1466 return mImpl->getNbDLACores();
1482 mImpl->setGpuAllocator(allocator);
1501 mImpl->setErrorRecorder(recorder);
1516 return mImpl->getErrorRecorder();
1534 return mImpl->deserializeCudaEngine(blob, size);
1557 return mImpl->deserializeCudaEngineV2(streamReader);
1567 return mImpl->getLogger();
1582 return mImpl->setMaxThreads(maxThreads);
1596 return mImpl->getMaxThreads();
1631 return mImpl->setTemporaryDirectory(path);
1642 return mImpl->getTemporaryDirectory();
1658 return mImpl->setTempfileControlFlags(flags);
1670 return mImpl->getTempfileControlFlags();
1680 return mImpl->getPluginRegistry();
1698 return mImpl->loadRuntime(path);
1710 return mImpl->setEngineHostCodeAllowed(allowed);
1720 return mImpl->getEngineHostCodeAllowed();
1731 return mImpl->getEngineHeaderSize();
1758 return mImpl->getEngineValidity(blob, blobSize, diagnostics);
1795 return mImpl->setWeights(layerName, role, weights);
1812 return mImpl->refitCudaEngine();
1833 return mImpl->getMissing(size, layerNames, roles);
1850 return mImpl->getAll(size, layerNames, roles);
1869 mImpl->setErrorRecorder(recorder);
1884 return mImpl->getErrorRecorder();
1909 return mImpl->setNamedWeights(name, weights);
1929 return mImpl->getMissingWeights(size, weightsNames);
1945 return mImpl->getAllWeights(size, weightsNames);
1955 return mImpl->getLogger();
1971 return mImpl->setMaxThreads(maxThreads);
1985 return mImpl->getMaxThreads();
2012 return mImpl->setNamedWeightsWithLocation(name, weights, location);
2028 return mImpl->getNamedWeights(weightsName);
2044 return mImpl->getWeightsLocation(weightsName);
2060 return mImpl->unsetNamedWeights(weightsName);
2076 return mImpl->setWeightsValidation(weightsValidation);
2084 return mImpl->getWeightsValidation();
2106 return mImpl->refitCudaEngineAsync(stream);
2124 return mImpl->getWeightsPrototype(weightsName);
2213 return mImpl->setDimensions(inputName, select, dims);
2225 return mImpl->getDimensions(inputName, select);
2276 char const* inputName,
OptProfileSelector select, int32_t
const* values, int32_t nbValues)
noexcept
2278 return mImpl->setShapeValues(inputName, select, values, nbValues);
2291 return mImpl->getNbShapeValues(inputName);
2305 return mImpl->getShapeValues(inputName, select);
2323 return mImpl->setExtraMemoryTarget(target);
2335 return mImpl->getExtraMemoryTarget();
2352 return mImpl->isValid();
2401 char const* inputName,
OptProfileSelector select, int64_t
const* values, int32_t nbValues)
noexcept
2403 return mImpl->setShapeValuesV2(inputName, select, values, nbValues);
2415 return mImpl->getShapeValuesV2(inputName, select);
2546 return mImpl->setFlags(serializationFlags);
2558 return mImpl->getFlags();
2570 return mImpl->clearFlag(serializationFlag);
2582 return mImpl->setFlag(serializationFlag);
2594 return mImpl->getFlag(serializationFlag);
2649 return mImpl->serialize();
2660 return mImpl->deserialize(blob, size);
2668 return mImpl->reset();
2736 return mImpl->setExecutionContextAllocationStrategy(strategy);
2746 return mImpl->getExecutionContextAllocationStrategy();
2756 return mImpl->createRuntimeCache();
2766 return mImpl->setRuntimeCache(cache);
2776 return mImpl->getRuntimeCache();
2787 return mImpl->setDynamicShapesKernelSpecializationStrategy(dynamicShapesKernelSpecializationStrategy);
2797 return mImpl->getDynamicShapesKernelSpecializationStrategy();
2855 Dims getTensorShape(
char const* tensorName) const noexcept
2857 return mImpl->getTensorShape(tensorName);
2872 return mImpl->getTensorDataType(tensorName);
2886 return mImpl->getNbLayers();
2900 return mImpl->serialize();
2918 return mImpl->createExecutionContext(strategy);
2935 return mImpl->getTensorLocation(tensorName);
2955 return mImpl->isShapeInferenceIO(tensorName);
2969 return mImpl->getTensorIOMode(tensorName);
2981 return mImpl->createExecutionContextWithRuntimeConfig(runtimeConfig);
2994 return mImpl->createRuntimeConfig();
3010 return mImpl->getDeviceMemorySizeV2();
3026 return mImpl->getDeviceMemorySizeForProfileV2(profileIndex);
3036 return mImpl->isRefittable();
3057 return mImpl->getTensorBytesPerComponent(tensorName);
3075 return mImpl->getTensorBytesPerComponentV2(tensorName, profileIndex);
3096 return mImpl->getTensorComponentsPerElement(tensorName);
3114 return mImpl->getTensorComponentsPerElementV2(tensorName, profileIndex);
3129 return mImpl->getTensorFormat(tensorName);
3143 return mImpl->getTensorFormatV2(tensorName, profileIndex);
3167 return mImpl->getTensorFormatDesc(tensorName);
3190 return mImpl->getTensorFormatDescV2(tensorName, profileIndex);
3207 return mImpl->getTensorVectorizedDim(tensorName);
3223 return mImpl->getTensorVectorizedDimV2(tensorName, profileIndex);
3238 return mImpl->getName();
3249 return mImpl->getNbOptimizationProfiles();
3269 return mImpl->getProfileShape(tensorName, profileIndex, select);
3284 return mImpl->getEngineCapability();
3303 return mImpl->setErrorRecorder(recorder);
3318 return mImpl->getErrorRecorder();
3332 return mImpl->hasImplicitBatchDimension();
3348 return mImpl->getTacticSources();
3360 return mImpl->getProfilingVerbosity();
3370 return mImpl->createEngineInspector();
3383 return mImpl->getNbIOTensors();
3395 return mImpl->getIOTensorName(index);
3406 return mImpl->getHardwareCompatibilityLevel();
3421 return mImpl->getNbAuxStreams();
3431 return mImpl->createSerializationConfig();
3447 return mImpl->serializeWithConfig(config);
3463 return mImpl->getStreamableWeightsSize();
3505 return mImpl->setWeightStreamingBudgetV2(gpuMemoryBudget);
3523 return mImpl->getWeightStreamingBudgetV2();
3548 return mImpl->getWeightStreamingAutomaticBudget();
3576 return mImpl->getWeightStreamingScratchMemorySize();
3590 return mImpl->isDebugTensor(name);
3613 char const* tensorName, int32_t profileIndex,
OptProfileSelector select)
const noexcept
3615 return mImpl->getProfileTensorValuesV2(tensorName, profileIndex, select);
3643 return mImpl->getEngineStat(stat);
3660 return {
"IOutputAllocator", 1, 0};
3686 char const* tensorName,
void* currentMemory, uint64_t size, uint64_t alignment, cudaStream_t )
3722 return {
"IDebugListener", 1, 0};
3739 char const* name, cudaStream_t stream)
3776 void setDebugSync(
bool sync) noexcept
3778 mImpl->setDebugSync(sync);
3788 return mImpl->getDebugSync();
3798 mImpl->setProfiler(profiler);
3808 return mImpl->getProfiler();
3818 return mImpl->getEngine();
3832 mImpl->setName(name);
3842 return mImpl->getName();
3869 mImpl->setDeviceMemory(memory);
3891 return mImpl->setDeviceMemoryV2(memory, size);
3912 return mImpl->getTensorStrides(tensorName);
3927 return mImpl->getOptimizationProfile();
3945 return mImpl->setInputShape(tensorName, dims);
3982 return mImpl->getTensorShape(tensorName);
3998 return mImpl->allInputDimensionsSpecified();
4017 mImpl->setErrorRecorder(recorder);
4032 return mImpl->getErrorRecorder();
4049 return mImpl->executeV2(bindings);
4093 return mImpl->setOptimizationProfileAsync(profileIndex, stream);
4109 mImpl->setEnqueueEmitsProfile(enqueueEmitsProfile);
4121 return mImpl->getEnqueueEmitsProfile();
4151 return mImpl->reportToProfiler();
4195 return mImpl->setTensorAddress(tensorName, data);
4212 return mImpl->getTensorAddress(tensorName);
4235 return mImpl->setOutputTensorAddress(tensorName, data);
4257 return mImpl->setInputTensorAddress(tensorName, data);
4276 return mImpl->getOutputTensorAddress(tensorName);
4307 int32_t
inferShapes(int32_t nbMaxNames,
char const** tensorNames)
noexcept
4309 return mImpl->inferShapes(nbMaxNames, tensorNames);
4326 return mImpl->updateDeviceMemorySizeForShapes();
4342 return mImpl->setInputConsumedEvent(event);
4352 return mImpl->getInputConsumedEvent();
4371 return mImpl->setOutputAllocator(tensorName, outputAllocator);
4384 return mImpl->getOutputAllocator(tensorName);
4402 return mImpl->getMaxOutputSize(tensorName);
4422 return mImpl->setTemporaryStorageAllocator(allocator);
4432 return mImpl->getTemporaryStorageAllocator();
4456 return mImpl->enqueueV3(stream);
4472 mImpl->setPersistentCacheLimit(size);
4483 return mImpl->getPersistentCacheLimit();
4507 return mImpl->setNvtxVerbosity(verbosity);
4519 return mImpl->getNvtxVerbosity();
4550 mImpl->setAuxStreams(auxStreams, nbStreams);
4562 return mImpl->setDebugListener(listener);
4572 return mImpl->getDebugListener();
4591 return mImpl->setTensorDebugState(name, flag);
4603 return mImpl->getDebugState(name);
4613 return mImpl->getRuntimeConfig();
4626 return mImpl->setAllTensorsDebugState(flag);
4642 return mImpl->setUnfusedTensorsDebugState(flag);
4652 return mImpl->getUnfusedTensorsDebugState();
4714 return mImpl->setExecutionContext(context);
4726 return mImpl->getExecutionContext();
4751 return mImpl->getLayerInformation(layerIndex, format);
4774 return mImpl->getEngineInformation(format);
4793 mImpl->setErrorRecorder(recorder);
4808 return mImpl->getErrorRecorder();
4821extern "C" TENSORRTAPI void* createInferRuntime_INTERNAL(
void* logger, int32_t version)
noexcept;
4827extern "C" TENSORRTAPI void* createInferRefitter_INTERNAL(
void* engine,
void* logger, int32_t version)
noexcept;
4880template <
typename T>
4963 cudaStream_t )
noexcept override = 0;
5016 uint64_t
const size, uint64_t
const alignment,
AllocatorFlags const flags)
noexcept override
5049 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:2841
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:3055
ISerializationConfig * createSerializationConfig() noexcept
Create a serialization configuration object.
Definition: NvInferRuntime.h:3429
char const * getIOTensorName(int32_t index) const noexcept
Return name of an IO tensor.
Definition: NvInferRuntime.h:3393
int64_t getWeightStreamingBudgetV2() const noexcept
Returns the current weight streaming device memory budget in bytes.
Definition: NvInferRuntime.h:3521
EngineCapability getEngineCapability() const noexcept
Determine what execution capability this engine has.
Definition: NvInferRuntime.h:3282
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:3316
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:3141
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:3612
TRT_DEPRECATED bool hasImplicitBatchDimension() const noexcept
Query whether the engine was built with an implicit batch dimension.
Definition: NvInferRuntime.h:3330
apiv::VCudaEngine * mImpl
Definition: NvInferRuntime.h:3647
IExecutionContext * createExecutionContext(ExecutionContextAllocationStrategy strategy=ExecutionContextAllocationStrategy::kSTATIC) noexcept
Create an execution context and specify the strategy for allocating internal activation memory.
Definition: NvInferRuntime.h:2915
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:3165
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:3267
bool setWeightStreamingBudgetV2(int64_t gpuMemoryBudget) noexcept
Limit the maximum amount of GPU memory usable for network weights in bytes.
Definition: NvInferRuntime.h:3503
IExecutionContext * createExecutionContext(IRuntimeConfig *runtimeConfig) noexcept
Create an execution context with TensorRT JIT runtime config.
Definition: NvInferRuntime.h:2979
int32_t getNbAuxStreams() const noexcept
Return the number of auxiliary streams used by this engine.
Definition: NvInferRuntime.h:3419
int64_t getStreamableWeightsSize() const noexcept
Get the total size in bytes of all streamable weights.
Definition: NvInferRuntime.h:3461
DataType getTensorDataType(char const *tensorName) const noexcept
Determine the required data type for a buffer from its tensor name.
Definition: NvInferRuntime.h:2870
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:3301
TacticSources getTacticSources() const noexcept
return the tactic sources required by this engine.
Definition: NvInferRuntime.h:3346
IHostMemory * serializeWithConfig(ISerializationConfig &config) const noexcept
Serialize the network to a stream with the provided SerializationConfig.
Definition: NvInferRuntime.h:3445
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:3546
bool isDebugTensor(char const *name) const noexcept
Check if a tensor is marked as a debug tensor.
Definition: NvInferRuntime.h:3588
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:3221
char const * getName() const noexcept
Returns the name of the network associated with the engine.
Definition: NvInferRuntime.h:3236
ProfilingVerbosity getProfilingVerbosity() const noexcept
Return the ProfilingVerbosity the builder config was set to when the engine was built.
Definition: NvInferRuntime.h:3358
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:2953
int64_t getWeightStreamingScratchMemorySize() const noexcept
Returns the size of the scratch memory required by the current weight streaming budget.
Definition: NvInferRuntime.h:3574
int64_t getDeviceMemorySizeV2() const noexcept
Return the maximum device memory required by the context over all profiles.
Definition: NvInferRuntime.h:3008
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:3205
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:3112
int64_t getDeviceMemorySizeForProfileV2(int32_t profileIndex) const noexcept
Return the maximum device memory required by the context for a profile.
Definition: NvInferRuntime.h:3024
IRuntimeConfig * createRuntimeConfig() noexcept
Create a runtime config for TensorRT JIT. The caller is responsible for ownership of the returned IRu...
Definition: NvInferRuntime.h:2992
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:3127
IHostMemory * serialize() const noexcept
Serialize the network to a stream.
Definition: NvInferRuntime.h:2898
int64_t getEngineStat(EngineStat stat) const noexcept
Get engine statistics according to the given enum value.
Definition: NvInferRuntime.h:3641
TensorLocation getTensorLocation(char const *tensorName) const noexcept
Get whether an input or output tensor must be on GPU or CPU.
Definition: NvInferRuntime.h:2933
IEngineInspector * createEngineInspector() const noexcept
Create a new engine inspector which prints the layer information in an engine or an execution context...
Definition: NvInferRuntime.h:3368
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:3073
HardwareCompatibilityLevel getHardwareCompatibilityLevel() const noexcept
Return the hardware compatibility level of this engine.
Definition: NvInferRuntime.h:3404
int32_t getNbOptimizationProfiles() const noexcept
Get the number of optimization profiles defined for this engine.
Definition: NvInferRuntime.h:3247
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:3188
TensorIOMode getTensorIOMode(char const *tensorName) const noexcept
Determine whether a tensor is an input or output tensor.
Definition: NvInferRuntime.h:2967
int32_t getNbLayers() const noexcept
Get the number of layers in the network.
Definition: NvInferRuntime.h:2884
int32_t getNbIOTensors() const noexcept
Return number of IO tensors.
Definition: NvInferRuntime.h:3381
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:3094
bool isRefittable() const noexcept
Return true if an engine can be refit.
Definition: NvInferRuntime.h:3034
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:4696
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:4749
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:4806
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:4791
IExecutionContext const * getExecutionContext() const noexcept
Get the context currently being inspected.
Definition: NvInferRuntime.h:4724
apiv::VEngineInspector * mImpl
Definition: NvInferRuntime.h:4812
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:4772
Context for executing inference using an engine, with functionally unsafe features.
Definition: NvInferRuntime.h:3764
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:4382
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:4030
bool reportToProfiler() const noexcept
Calculate layer timing info for the current optimization profile in IExecutionContext and update the ...
Definition: NvInferRuntime.h:4149
virtual ~IExecutionContext() noexcept=default
void setDeviceMemory(void *memory) noexcept
Set the device memory for use by this execution context.
Definition: NvInferRuntime.h:3867
bool setTensorDebugState(char const *name, bool flag) noexcept
Set debug state of tensor given the tensor name.
Definition: NvInferRuntime.h:4589
char const * getName() const noexcept
Return the name of the execution context.
Definition: NvInferRuntime.h:3840
IGpuAllocator * getTemporaryStorageAllocator() const noexcept
Get allocator set by setTemporaryStorageAllocator.
Definition: NvInferRuntime.h:4430
void setEnqueueEmitsProfile(bool enqueueEmitsProfile) noexcept
Set whether enqueue emits layer timing to the profiler.
Definition: NvInferRuntime.h:4107
bool setUnfusedTensorsDebugState(bool flag) noexcept
Turn the debug state of unfused tensors on or off.
Definition: NvInferRuntime.h:4640
Dims getTensorShape(char const *tensorName) const noexcept
Return the shape of the given input or output.
Definition: NvInferRuntime.h:3980
bool getDebugState(char const *name) const noexcept
Get the debug state.
Definition: NvInferRuntime.h:4601
bool setInputShape(char const *tensorName, Dims const &dims) noexcept
Set shape of given input.
Definition: NvInferRuntime.h:3943
bool executeV2(void *const *bindings) noexcept
Synchronously execute a network.
Definition: NvInferRuntime.h:4047
bool getEnqueueEmitsProfile() const noexcept
Get the enqueueEmitsProfile state.
Definition: NvInferRuntime.h:4119
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:4210
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:4369
bool setOptimizationProfileAsync(int32_t profileIndex, cudaStream_t stream) noexcept
Select an optimization profile for the current context with async semantics.
Definition: NvInferRuntime.h:4091
apiv::VExecutionContext * mImpl
Definition: NvInferRuntime.h:4656
bool setOutputTensorAddress(char const *tensorName, void *data) noexcept
Set the memory address for a given output tensor.
Definition: NvInferRuntime.h:4233
void setPersistentCacheLimit(size_t size) noexcept
Set the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:4470
size_t getPersistentCacheLimit() const noexcept
Get the maximum size for persistent cache usage.
Definition: NvInferRuntime.h:4481
bool setAllTensorsDebugState(bool flag) noexcept
Turn the debug state of all debug tensors on or off.
Definition: NvInferRuntime.h:4624
ICudaEngine const & getEngine() const noexcept
Get the associated engine.
Definition: NvInferRuntime.h:3816
ProfilingVerbosity getNvtxVerbosity() const noexcept
Get the NVTX verbosity of the execution context.
Definition: NvInferRuntime.h:4517
size_t updateDeviceMemorySizeForShapes() noexcept
Recompute the internal activation buffer sizes based on the current input shapes, and return the tota...
Definition: NvInferRuntime.h:4324
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:4548
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:4400
int32_t inferShapes(int32_t nbMaxNames, char const **tensorNames) noexcept
Run shape calculations.
Definition: NvInferRuntime.h:4307
bool setDebugListener(IDebugListener *listener) noexcept
Set DebugListener for this execution context.
Definition: NvInferRuntime.h:4560
bool setTensorAddress(char const *tensorName, void *data) noexcept
Set memory address for given input or output tensor.
Definition: NvInferRuntime.h:4193
bool setTemporaryStorageAllocator(IGpuAllocator *allocator) noexcept
Specify allocator to use for internal temporary storage.
Definition: NvInferRuntime.h:4420
void * getOutputTensorAddress(char const *tensorName) const noexcept
Get memory address for given output.
Definition: NvInferRuntime.h:4274
bool enqueueV3(cudaStream_t stream) noexcept
Enqueue inference on a stream.
Definition: NvInferRuntime.h:4454
IDebugListener * getDebugListener() noexcept
Get the DebugListener of this execution context.
Definition: NvInferRuntime.h:4570
int32_t getOptimizationProfile() const noexcept
Get the index of the currently selected optimization profile.
Definition: NvInferRuntime.h:3925
bool setInputTensorAddress(char const *tensorName, void const *data) noexcept
Set memory address for given input.
Definition: NvInferRuntime.h:4255
bool getDebugSync() const noexcept
Get the debug sync flag.
Definition: NvInferRuntime.h:3786
bool setInputConsumedEvent(cudaEvent_t event) noexcept
Mark input as consumed.
Definition: NvInferRuntime.h:4340
Dims getTensorStrides(char const *tensorName) const noexcept
Return the strides of the buffer for the given tensor name.
Definition: NvInferRuntime.h:3910
bool setNvtxVerbosity(ProfilingVerbosity verbosity) noexcept
Set the verbosity of the NVTX markers in the execution context.
Definition: NvInferRuntime.h:4505
IProfiler * getProfiler() const noexcept
Get the profiler.
Definition: NvInferRuntime.h:3806
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:4015
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:3889
bool allInputDimensionsSpecified() const noexcept
Whether all dynamic dimensions of input tensors have been specified.
Definition: NvInferRuntime.h:3996
bool getUnfusedTensorsDebugState() const noexcept
Get the debug state of unfused tensors.
Definition: NvInferRuntime.h:4650
void setProfiler(IProfiler *profiler) noexcept
Set the profiler.
Definition: NvInferRuntime.h:3796
void setName(char const *name) noexcept
Set the name of the execution context.
Definition: NvInferRuntime.h:3830
cudaEvent_t getInputConsumedEvent() const noexcept
The event associated with consuming the input.
Definition: NvInferRuntime.h:4350
IRuntimeConfig * getRuntimeConfig() const noexcept
Get the runtime config object used during execution context creation.
Definition: NvInferRuntime.h:4611
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:4907
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:1098
virtual ~ILogger()=default
Severity
The severity corresponding to a log message.
Definition: NvInferRuntime.h:1106
@ 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:2182
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:2303
apiv::VOptimizationProfile * mImpl
Definition: NvInferRuntime.h:2419
Dims getDimensions(char const *inputName, OptProfileSelector select) const noexcept
Get the minimum / optimum / maximum dimensions for a dynamic input tensor.
Definition: NvInferRuntime.h:2223
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:2275
virtual ~IOptimizationProfile() noexcept=default
float getExtraMemoryTarget() const noexcept
Get the extra memory target that has been defined for this profile.
Definition: NvInferRuntime.h:2333
bool setExtraMemoryTarget(float target) noexcept
Set a target for extra GPU memory that may be used by this profile.
Definition: NvInferRuntime.h:2321
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:2211
bool isValid() const noexcept
Check whether the optimization profile can be passed to an IBuilderConfig object.
Definition: NvInferRuntime.h:2350
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:2413
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:2400
int32_t getNbShapeValues(char const *inputName) const noexcept
Get the number of values for an input shape tensor.
Definition: NvInferRuntime.h:2289
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:1774
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:1793
bool refitCudaEngineAsync(cudaStream_t stream) noexcept
Enqueue weights refitting of the associated engine on the given stream.
Definition: NvInferRuntime.h:2104
int32_t getMaxThreads() const noexcept
get the maximum number of threads that can be used by the refitter.
Definition: NvInferRuntime.h:1983
TensorLocation getWeightsLocation(char const *weightsName) const noexcept
Get location for the weights associated with the given name.
Definition: NvInferRuntime.h:2042
bool setNamedWeights(char const *name, Weights weights) noexcept
Specify new weights of given name.
Definition: NvInferRuntime.h:1907
int32_t getAllWeights(int32_t size, char const **weightsNames) noexcept
Get names of all weights that could be refit.
Definition: NvInferRuntime.h:1943
ILogger * getLogger() const noexcept
get the logger with which the refitter was created
Definition: NvInferRuntime.h:1953
bool refitCudaEngine() noexcept
Refits associated engine.
Definition: NvInferRuntime.h:1810
int32_t getMissingWeights(int32_t size, char const **weightsNames) noexcept
Get names of missing weights.
Definition: NvInferRuntime.h:1927
int32_t getMissing(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of missing weights.
Definition: NvInferRuntime.h:1831
Weights getNamedWeights(char const *weightsName) const noexcept
Get weights associated with the given name.
Definition: NvInferRuntime.h:2026
bool unsetNamedWeights(char const *weightsName) noexcept
Unset weights associated with the given name.
Definition: NvInferRuntime.h:2058
Weights getWeightsPrototype(char const *weightsName) const noexcept
Get the Weights prototype associated with the given name.
Definition: NvInferRuntime.h:2122
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:1969
bool setNamedWeights(char const *name, Weights weights, TensorLocation location) noexcept
Specify new weights on a specified device of given name.
Definition: NvInferRuntime.h:2010
void setWeightsValidation(bool weightsValidation) noexcept
Set whether to validate weights during refitting.
Definition: NvInferRuntime.h:2074
apiv::VRefitter * mImpl
Definition: NvInferRuntime.h:2128
int32_t getAll(int32_t size, char const **layerNames, WeightsRole *roles) noexcept
Get description of all weights that could be refit.
Definition: NvInferRuntime.h:1848
virtual ~IRefitter() noexcept=default
bool getWeightsValidation() const noexcept
Get whether to validate weights values during refitting.
Definition: NvInferRuntime.h:2082
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:1867
IErrorRecorder * getErrorRecorder() const noexcept
Get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:1882
A class for Runtime cache currently used for TensorRT JIT compilation. This cache can be serialized a...
Definition: NvInferRuntime.h:2638
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:2658
bool reset() noexcept
Reset the Runtime cache. Clears all content within the cache.
Definition: NvInferRuntime.h:2666
apiv::VRuntimeCache * mImpl
Definition: NvInferRuntime.h:2672
A class for runtime configuration. This class is used during execution context creation.
Definition: NvInferRuntime.h:2725
DynamicShapesKernelSpecializationStrategy getDynamicShapesKernelSpecializationStrategy() const noexcept
Return the dynamic shape specialization strategy of this config.
Definition: NvInferRuntime.h:2795
virtual ~IRuntimeConfig() noexcept=default
apiv::VRuntimeConfig * mImpl
Definition: NvInferRuntime.h:2802
IRuntimeCache * createRuntimeCache() const noexcept
Create an empty Runtime cache.
Definition: NvInferRuntime.h:2754
ExecutionContextAllocationStrategy getExecutionContextAllocationStrategy() const noexcept
Get the execution context allocation strategy.
Definition: NvInferRuntime.h:2744
bool setRuntimeCache(IRuntimeCache const &cache) noexcept
Set Runtime cache to the runtime config. Enables Runtime caching.
Definition: NvInferRuntime.h:2764
void setDynamicShapesKernelSpecializationStrategy(DynamicShapesKernelSpecializationStrategy dynamicShapesKernelSpecializationStrategy) noexcept
Set the dynamic shape kernel specialization strategy for this config.
Definition: NvInferRuntime.h:2784
IRuntimeCache * getRuntimeCache() const noexcept
Get the Runtime cache from the runtime config.
Definition: NvInferRuntime.h:2774
Allows a serialized functionally unsafe engine to be deserialized.
Definition: NvInferRuntime.h:1431
bool setMaxThreads(int32_t maxThreads) noexcept
Set the maximum number of threads.
Definition: NvInferRuntime.h:1580
IRuntime * loadRuntime(char const *path) noexcept
Load IRuntime from the file.
Definition: NvInferRuntime.h:1696
bool getEngineHostCodeAllowed() const noexcept
Get whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:1718
int64_t getEngineHeaderSize() const noexcept
Get size of engine header in bytes.
Definition: NvInferRuntime.h:1730
TempfileControlFlags getTempfileControlFlags() const noexcept
Get the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:1668
void setEngineHostCodeAllowed(bool allowed) noexcept
Set whether the runtime is allowed to deserialize engines with host executable code.
Definition: NvInferRuntime.h:1708
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:1629
IPluginRegistry & getPluginRegistry() noexcept
Get the local plugin registry that can be used by the runtime.
Definition: NvInferRuntime.h:1678
apiv::VRuntime * mImpl
Definition: NvInferRuntime.h:1763
void setDLACore(int32_t dlaCore) noexcept
Sets the DLA core used by the network. Defaults to -1.
Definition: NvInferRuntime.h:1446
int32_t getNbDLACores() const noexcept
Returns number of DLA hardware cores accessible or 0 if DLA is unavailable.
Definition: NvInferRuntime.h:1464
EngineValidity getEngineValidity(void const *blob, int64_t blobSize, uint64_t *diagnostics) const noexcept
Check for engine validity by inspecting the serialized engine header.
Definition: NvInferRuntime.h:1757
ICudaEngine * deserializeCudaEngine(void const *blob, std::size_t size) noexcept
Deserialize an engine from host memory.
Definition: NvInferRuntime.h:1532
void setTempfileControlFlags(TempfileControlFlags flags) noexcept
Set the tempfile control flags for this runtime.
Definition: NvInferRuntime.h:1656
int32_t getDLACore() const noexcept
Get the DLA core that the engine executes on.
Definition: NvInferRuntime.h:1456
void setGpuAllocator(IGpuAllocator *allocator) noexcept
Set the GPU allocator.
Definition: NvInferRuntime.h:1480
IErrorRecorder * getErrorRecorder() const noexcept
get the ErrorRecorder assigned to this interface.
Definition: NvInferRuntime.h:1514
ICudaEngine * deserializeCudaEngine(IStreamReaderV2 &streamReader)
Deserialize an engine from a stream. IStreamReaderV2 is expected to support reading to both host and ...
Definition: NvInferRuntime.h:1555
ILogger * getLogger() const noexcept
get the logger with which the runtime was created
Definition: NvInferRuntime.h:1565
int32_t getMaxThreads() const noexcept
Get the maximum number of threads that can be used by the runtime.
Definition: NvInferRuntime.h:1594
char const * getTemporaryDirectory() const noexcept
Get the directory that will be used by this runtime for temporary files.
Definition: NvInferRuntime.h:1640
void setErrorRecorder(IErrorRecorder *recorder) noexcept
Set the ErrorRecorder for this interface.
Definition: NvInferRuntime.h:1499
Holds properties for configuring an engine to serialize the binary.
Definition: NvInferRuntime.h:2529
virtual ~ISerializationConfig() noexcept=default
bool clearFlag(SerializationFlag serializationFlag) noexcept
clear a serialization flag.
Definition: NvInferRuntime.h:2568
bool setFlag(SerializationFlag serializationFlag) noexcept
Set a serialization flag.
Definition: NvInferRuntime.h:2580
SerializationFlags getFlags() const noexcept
Get the serialization flags for this config.
Definition: NvInferRuntime.h:2556
bool getFlag(SerializationFlag serializationFlag) const noexcept
Returns true if the serialization flag is set.
Definition: NvInferRuntime.h:2592
apiv::VSerializationConfig * mImpl
Definition: NvInferRuntime.h:2598
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:4882
PluginRegistrar()
Definition: NvInferRuntime.h:4884
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:3715
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:3720
~IDebugListener() override=default
Definition: NvInferRuntimeBase.h:413
Definition: NvInferRuntime.h:1166
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:1288
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:1329
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:1235
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:1321
Definition: NvInferRuntime.h:4928
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:5015
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:5039
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:5047
~IGpuAsyncAllocator() override=default
Definition: NvInferRuntime.h:3653
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:3658
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:3685
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:802
virtual ~IProfiler() noexcept
Definition: NvInferRuntime.h:813
virtual void reportLayerTime(char const *layerName, float ms) noexcept=0
Layer time reporting callback.
Definition: NvInferRuntime.h:631
~IStreamReader() override=default
IStreamReader & operator=(IStreamReader const &) &=default
IStreamReader & operator=(IStreamReader &&) &=default
virtual int64_t read(void *destination, int64_t nbBytes)=0
Read the next number of bytes in the stream.
IStreamReader(IStreamReader &&)=default
IStreamReader(IStreamReader const &)=default
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:643
Definition: NvInferRuntime.h:741
IStreamReaderV2 & operator=(IStreamReaderV2 const &) &=default
InterfaceInfo getInterfaceInfo() const noexcept override
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:753
IStreamReaderV2(IStreamReaderV2 &&)=default
~IStreamReaderV2() override=default
virtual int64_t read(void *destination, int64_t nbBytes, cudaStream_t stream) noexcept=0
Read the next number of bytes in the stream asynchronously.
IStreamReaderV2()=default
IStreamReaderV2(IStreamReaderV2 const &)=default
virtual bool seek(int64_t offset, SeekPosition where) noexcept=0
Sets the position of the stream to the given offset.
IStreamReaderV2 & operator=(IStreamReaderV2 &&) &=default
Definition: NvInferRuntime.h:666
IStreamWriter & operator=(IStreamWriter const &) &=default
IStreamWriter(IStreamWriter &&)=default
virtual int64_t write(void const *data, int64_t nbBytes)=0
write nbBytes of data into the stream.
IStreamWriter(IStreamWriter const &)=default
InterfaceInfo getInterfaceInfo() const noexcept final
Return version information associated with this interface. Applications must not override this method...
Definition: NvInferRuntime.h:678
IStreamWriter & operator=(IStreamWriter &&) &=default
~IStreamWriter() override=default
IRefitter * createInferRefitter(ICudaEngine &engine, ILogger &logger) noexcept
Create an instance of an IRefitter class.
Definition: NvInferRuntime.h:4862
IRuntime * createInferRuntime(ILogger &logger) noexcept
Create an instance of an IRuntime class.
Definition: NvInferRuntime.h:4851
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:2468
v_1_0::IOutputAllocator IOutputAllocator
Definition: NvInferRuntime.h:3710
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.
EngineInvalidityDiagnostics
Bitmask indicating the reason(s) why an engine is invalid.
Definition: NvInferRuntime.h:1399
@ kUNSUPPORTED_CC
Unsupported compute capability on current system.
@ kMALFORMED_ENGINE
Serialized engine does not conform to the expected format.
@ kINSUFFICIENT_GPU_MEMORY
Insufficient GPU memory to hold all engine weights.
@ kCUDA_ERROR
Incorrect installation of the CUDA driver or runtime.
@ kOLD_CUDA_DRIVER
CUDA driver too old (driver downgrade compared to when engine was built).
@ kOLD_CUDA_RUNTIME
CUDA runtime too old (runtime downgrade compared to when engine was built).
@ kVERSION_MISMATCH
TensorRT-RTX version mismatch to when engine was built.
TensorIOMode
Definition of tensor IO Mode.
Definition: NvInferRuntimeBase.h:656
HardwareCompatibilityLevel
Describes requirements of compatibility with GPU architectures other than that of the GPU on which th...
Definition: NvInfer.h:8957
SerializationFlag
List of valid flags that the engine can enable when serializing the bytes.
Definition: NvInferRuntime.h:2509
@ 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:2713
v_1_0::IStreamWriter IStreamWriter
Definition: NvInferRuntime.h:720
v_1_0::IProfiler IProfiler
Definition: NvInferRuntime.h:828
DynamicShapesKernelSpecializationStrategy
Different kernel specialization strategies for dynamic shapes.
Definition: NvInferRuntime.h:2687
SeekPosition
Controls the seek mode of IStreamReaderV2.
Definition: NvInferRuntime.h:727
@ kSET
From the beginning of the file.
@ kCUR
From the current position of the file.
@ kEND
From the tail of the file.
v_1_0::IStreamReaderV2 IStreamReaderV2
Definition: NvInferRuntime.h:797
uint32_t TempfileControlFlags
Represents a collection of one or more TempfileControlFlag values combined using bitwise-OR operation...
Definition: NvInferRuntime.h:906
EngineStat
The kind of engine statistics that queried from the ICudaEngine.
Definition: NvInferRuntime.h:2814
@ kTOTAL_WEIGHTS_SIZE
Return the total weight size in bytes.
@ kSTRIPPED_WEIGHTS_SIZE
Return the stripped weight size in bytes for engines built with BuilderFlag::kSTRIP_PLAN.
v_1_0::IGpuAllocator IGpuAllocator
Definition: NvInferRuntime.h:1365
EngineValidity
Whether a TensorRT-RTX engine is likely to be valid on the current system.
Definition: NvInferRuntime.h:1373
@ kINVALID
Engine is invalid on the current system.
@ kSUBOPTIMAL
Engine is likely to be valid on the current system, but may show reduced performance.
@ kVALID
Engine is likely to be valid on the current system, based on the information in the header.
constexpr int32_t EnumMax< WeightsRole >() noexcept
Maximum number of elements in WeightsRole enum.
Definition: NvInferRuntime.h:849
char_t AsciiChar
Definition: NvInferRuntimeBase.h:115
@ kV2_DYNAMICEXT
IPluginV2DynamicExt.
constexpr int32_t EnumMax< EngineStat >() noexcept
Maximum number of engine statistic kinds in EngineStat enum.
Definition: NvInferRuntime.h:2828
constexpr int32_t EnumMax< LayerInformationFormat >() noexcept
Definition: NvInferRuntime.h:4675
DataType
The type of weights and tensors.
Definition: NvInferRuntimeBase.h:143
DeviceType
The device that this layer/network will execute on.
Definition: NvInferRuntime.h:860
v_1_0::IDebugListener IDebugListener
Definition: NvInferRuntime.h:3751
TempfileControlFlag
Flags used to control TensorRT's behavior when creating executable temporary files.
Definition: NvInferRuntime.h:883
@ 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:2154
WeightsRole
How a layer uses particular Weights.
Definition: NvInferRuntime.h:838
@ 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:2488
ProfilingVerbosity
List of verbosity levels of layer information exposed in NVTX annotations and in IEngineInspector.
Definition: NvInferRuntime.h:2480
@ 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:2431
@ 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:895
uint32_t SerializationFlags
Represents one or more SerializationFlag values using binary OR operations, e.g., 1U << Serialization...
Definition: NvInferRuntime.h:2499
TensorFormat
Format of the input/output tensors.
Definition: NvInferRuntime.h:940
ExecutionContextAllocationStrategy
Different memory allocation behaviors for IExecutionContext.
Definition: NvInferRuntime.h:2613
@ 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:2457
LayerInformationFormat
The format in which the IEngineInspector prints the layer information.
Definition: NvInferRuntime.h:4667
@ kJSON
Print layer information in JSON format.
@ kONELINE
Print layer information in one line per layer.
v_1_0::IGpuAsyncAllocator IGpuAsyncAllocator
Definition: NvInferRuntime.h:5068
v_1_0::IStreamReader IStreamReader
Definition: NvInferRuntime.h:710
AllocatorFlag
Allowed type of memory allocation.
Definition: NvInferRuntime.h:1064
@ kRESIZABLE
TensorRT may call realloc() on this allocation.
constexpr int32_t EnumMax< DeviceType >() noexcept
Maximum number of elements in DeviceType enum.
Definition: NvInferRuntime.h:867
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:2625
constexpr int32_t EnumMax< SerializationFlag >() noexcept
Maximum number of serialization flags in SerializationFlag enum.
Definition: NvInferRuntime.h:2516
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:2142
@ 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:1080
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