Enum ErrorCode 

#[repr(i32)]
pub enum ErrorCode {
    kSUCCESS = 0,
    kUNSPECIFIED_ERROR = 1,
    kINTERNAL_ERROR = 2,
    kINVALID_ARGUMENT = 3,
    kINVALID_CONFIG = 4,
    kFAILED_ALLOCATION = 5,
    kFAILED_INITIALIZATION = 6,
    kFAILED_EXECUTION = 7,
    kFAILED_COMPUTATION = 8,
    kINVALID_STATE = 9,
    kUNSUPPORTED_STATE = 10,
}

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

Variants

kSUCCESS = 0

! ! Execution completed successfully. !

kUNSPECIFIED_ERROR = 1

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

kINTERNAL_ERROR = 2

! ! 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 = 3

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

kINVALID_CONFIG = 4

! ! 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 = 5

! ! 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 = 6

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

kFAILED_EXECUTION = 7

! ! 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 = 8

! ! 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 = 9

! ! 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 = 10

! ! 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. !

Trait Implementations

impl Clone for ErrorCode

fn clone(&self) -> ErrorCode

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ErrorCode

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Hash for ErrorCode

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Ord for ErrorCode

fn cmp(&self, other: &ErrorCode) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for ErrorCode

fn eq(&self, other: &ErrorCode) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PartialOrd for ErrorCode

fn partial_cmp(&self, other: &ErrorCode) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

fn lt(&self, other: &Rhs) -> bool

Tests less than (for self and other) and is used by the < operator.

fn le(&self, other: &Rhs) -> bool

Tests less than or equal to (for self and other) and is used by the <= operator.

fn gt(&self, other: &Rhs) -> bool

Tests greater than (for self and other) and is used by the > operator.

fn ge(&self, other: &Rhs) -> bool

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl Copy for ErrorCode

impl Eq for ErrorCode

impl StructuralPartialEq for ErrorCode