Enum cusparseStatus_t 

#[repr(u32)]
pub enum cusparseStatus_t {
    CUSPARSE_STATUS_SUCCESS = 0,
    CUSPARSE_STATUS_NOT_INITIALIZED = 1,
    CUSPARSE_STATUS_ALLOC_FAILED = 2,
    CUSPARSE_STATUS_INVALID_VALUE = 3,
    CUSPARSE_STATUS_ARCH_MISMATCH = 4,
    CUSPARSE_STATUS_MAPPING_ERROR = 5,
    CUSPARSE_STATUS_EXECUTION_FAILED = 6,
    CUSPARSE_STATUS_INTERNAL_ERROR = 7,
    CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED = 8,
    CUSPARSE_STATUS_ZERO_PIVOT = 9,
    CUSPARSE_STATUS_NOT_SUPPORTED = 10,
    CUSPARSE_STATUS_INSUFFICIENT_RESOURCES = 11,
}

This data type represents the status returned by the library functions and it can have the following values.

Variants

CUSPARSE_STATUS_SUCCESS = 0

The operation completed successfully.

CUSPARSE_STATUS_NOT_INITIALIZED = 1

The cuSPARSE library was not initialized. This is usually caused by the lack of a prior call, an error in the CUDA Runtime API called by the cuSPARSE routine, or an error in the hardware setup To correct: call cusparseCreate prior to the function call; and check that the hardware, an appropriate version of the driver, and the cuSPARSE library are correctly installed The error also applies to generic APIs (cuSPARSE Generic APIs) for indicating a matrix/vector descriptor not initialized.

CUSPARSE_STATUS_ALLOC_FAILED = 2

Resource allocation failed inside the cuSPARSE library. This is usually caused by a device memory allocation (cudaMalloc()) or by a host memory allocation failure To correct: prior to the function call, deallocate previously allocated memory as much as possible.

CUSPARSE_STATUS_INVALID_VALUE = 3

An unsupported value or parameter was passed to the function (a negative vector size, for example) To correct: ensure that all the parameters being passed have valid values.

CUSPARSE_STATUS_ARCH_MISMATCH = 4

The function requires a feature absent from the device architecture To correct: compile and run the application on a device with appropriate compute capability.

CUSPARSE_STATUS_MAPPING_ERROR = 5

CUSPARSE_STATUS_EXECUTION_FAILED = 6

The GPU program failed to execute. This is often caused by a launch failure of the kernel on the GPU, which can be caused by multiple reasons To correct: check that the hardware, an appropriate version of the driver, and the cuSPARSE library are correctly installed.

CUSPARSE_STATUS_INTERNAL_ERROR = 7

An internal cuSPARSE operation failed To correct: check that the hardware, an appropriate version of the driver, and the cuSPARSE library are correctly installed. Also, check that the memory passed as a parameter to the routine is not being deallocated prior to the routine completion.

CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED = 8

The matrix type is not supported by this function. This is usually caused by passing an invalid matrix descriptor to the function To correct: check that the fields in cusparseMatDescr_t descrA were set correctly.

CUSPARSE_STATUS_ZERO_PIVOT = 9

CUSPARSE_STATUS_NOT_SUPPORTED = 10

The operation or data type combination is currently not supported by the function.

CUSPARSE_STATUS_INSUFFICIENT_RESOURCES = 11

The resources for the computation, such as GPU global or shared memory, are not sufficient to complete the operation. The error can also indicate that the current computation mode (e.g. bit size of sparse matrix indices) does not allow to handle the given input.

Trait Implementations

impl Clone for cusparseStatus_t

fn clone(&self) -> cusparseStatus_t

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for cusparseStatus_t

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

Formats the value using the given formatter.

impl From<cusparseStatus_t> for u32

fn from(enum_value: cusparseStatus_t) -> Self

Converts to this type from the input type.

impl Hash for cusparseStatus_t

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 cusparseStatus_t

fn cmp(&self, other: &cusparseStatus_t) -> 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 cusparseStatus_t

fn eq(&self, other: &cusparseStatus_t) -> 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 cusparseStatus_t

fn partial_cmp(&self, other: &cusparseStatus_t) -> 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 TryFrom<u32> for cusparseStatus_t

type Error = TryFromPrimitiveError<cusparseStatus_t>

The type returned in the event of a conversion error.

fn try_from(number: u32) -> Result<Self, TryFromPrimitiveError<Self>>

Performs the conversion.

impl TryFromPrimitive for cusparseStatus_t

const NAME: &'static str = "cusparseStatus_t"

type Primitive = u32

type Error = TryFromPrimitiveError<cusparseStatus_t>

fn try_from_primitive( number: Self::Primitive, ) -> Result<Self, TryFromPrimitiveError<Self>>

impl Copy for cusparseStatus_t

impl Eq for cusparseStatus_t

impl StructuralPartialEq for cusparseStatus_t