org.bytedeco.tensorrt.global

Enum nvinfer.ErrorCode

java.lang.Object

java.lang.Enum<nvinfer.ErrorCode>

org.bytedeco.tensorrt.global.nvinfer.ErrorCode

All Implemented Interfaces:

Serializable, Comparable<nvinfer.ErrorCode>

Enclosing class:

nvinfer

@Namespace(value="nvinfer1")
public static enum nvinfer.ErrorCode
extends Enum<nvinfer.ErrorCode>

\enum ErrorCode \brief Error codes that can be returned by TensorRT during execution.

Enum Constant Summary

Enum Constants

Enum Constant and Description
kFAILED_ALLOCATION An error occurred when performing an allocation of memory on the host or the device.
kFAILED_COMPUTATION An error occurred during execution that caused the data to become corrupted, but execution finished.
kFAILED_EXECUTION An error occurred during execution that caused TensorRT to end prematurely, either an asynchronous error, user cancellation, or other execution errors reported by CUDA/DLA.
kFAILED_INITIALIZATION One, or more, of the components that TensorRT relies on did not initialize correctly.
kINTERNAL_ERROR A non-recoverable TensorRT error occurred.
kINVALID_ARGUMENT An argument passed to the function is invalid in isolation.
kINVALID_CONFIG An error occurred when comparing the state of an argument relative to other arguments.
kINVALID_STATE TensorRT was put into a bad state by incorrect sequence of function calls.
kSUCCESS Execution completed successfully.
kUNSPECIFIED_ERROR An error that does not fall into any other category.
kUNSUPPORTED_STATE An error occurred due to the network not being supported on the device due to constraints of the hardware or system.

Field Summary

Fields

Modifier and Type	Field and Description
int	value

Method Summary

Modifier and Type	Method and Description
nvinfer.ErrorCode	intern()
String	toString()
static nvinfer.ErrorCode	valueOf(String name) Returns the enum constant of this type with the specified name.
static nvinfer.ErrorCode[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

kSUCCESS

public static final nvinfer.ErrorCode kSUCCESS

Execution completed successfully.

kUNSPECIFIED_ERROR

public static final nvinfer.ErrorCode kUNSPECIFIED_ERROR

An error that does not fall into any other category. This error is included for forward compatibility.

kINTERNAL_ERROR

public static final nvinfer.ErrorCode kINTERNAL_ERROR

A non-recoverable TensorRT error occurred. TensorRT is in an invalid internal state when this error is emitted and any further calls to TensorRT will result in undefined behavior.

kINVALID_ARGUMENT

public static final nvinfer.ErrorCode kINVALID_ARGUMENT

An argument passed to the function is invalid in isolation. This is a violation of the API contract.

kINVALID_CONFIG

public static final nvinfer.ErrorCode kINVALID_CONFIG

An error occurred when comparing the state of an argument relative to other arguments. For example, the dimensions for concat differ between two tensors outside of the channel dimension. This error is triggered when an argument is correct in isolation, but not relative to other arguments. This is to help to distinguish from the simple errors from the more complex errors. This is a violation of the API contract.

kFAILED_ALLOCATION

public static final nvinfer.ErrorCode kFAILED_ALLOCATION

An error occurred when performing an allocation of memory on the host or the device. A memory allocation error is normally fatal, but in the case where the application provided its own memory allocation routine, it is possible to increase the pool of available memory and resume execution.

kFAILED_INITIALIZATION

public static final nvinfer.ErrorCode kFAILED_INITIALIZATION

One, or more, of the components that TensorRT relies on did not initialize correctly. This is a system setup issue.

kFAILED_EXECUTION

public static final nvinfer.ErrorCode kFAILED_EXECUTION

An error occurred during execution that caused TensorRT to end prematurely, either an asynchronous error, user cancellation, or other execution errors reported by CUDA/DLA. In a dynamic system, the data can be thrown away and the next frame can be processed or execution can be retried. This is either an execution error or a memory error.

kFAILED_COMPUTATION

public static final nvinfer.ErrorCode kFAILED_COMPUTATION

An error occurred during execution that caused the data to become corrupted, but execution finished. Examples of this error are NaN squashing or integer overflow. In a dynamic system, the data can be thrown away and the next frame can be processed or execution can be retried. This is either a data corruption error, an input error, or a range error. This is not used in safety but may be used in standard.

kINVALID_STATE

public static final nvinfer.ErrorCode kINVALID_STATE

TensorRT was put into a bad state by incorrect sequence of function calls. An example of an invalid state is specifying a layer to be DLA only without GPU fallback, and that layer is not supported by DLA. This can occur in situations where a service is optimistically executing networks for multiple different configurations without checking proper error configurations, and instead throwing away bad configurations caught by TensorRT. This is a violation of the API contract, but can be recoverable. Example of a recovery: GPU fallback is disabled and conv layer with large filter(63x63) is specified to run on DLA. This will fail due to DLA not supporting the large kernel size. This can be recovered by either turning on GPU fallback or setting the layer to run on the GPU.

kUNSUPPORTED_STATE

public static final nvinfer.ErrorCode kUNSUPPORTED_STATE

An error occurred due to the network not being supported on the device due to constraints of the hardware or system. An example is running an unsafe layer in a safety certified context, or a resource requirement for the current network is greater than the capabilities of the target device. The network is otherwise correct, but the network and hardware combination is problematic. This can be recoverable. Examples: * Scratch space requests larger than available device memory and can be recovered by increasing allowed workspace size. * Tensor size exceeds the maximum element count and can be recovered by reducing the maximum batch size.

Field Detail

value

public final int value

Method Detail

values

public static nvinfer.ErrorCode[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (nvinfer.ErrorCode c : nvinfer.ErrorCode.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static nvinfer.ErrorCode valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null

intern

public nvinfer.ErrorCode intern()

toString

public String toString()

Overrides:

toString in class Enum<nvinfer.ErrorCode>