Enum LinearQuantizeCodecError 

pub enum LinearQuantizeCodecError {
    MismatchedEncodeDType {
        configured: LinearQuantizeDType,
        provided: AnyArrayDType,
    },
    NonFiniteData,
    HeaderEncodeFailed {
        source: LinearQuantizeHeaderError,
    },
    EncodedDataNotOneDimensional {
        shape: Vec<usize>,
    },
    HeaderDecodeFailed {
        source: LinearQuantizeHeaderError,
    },
    DecodeInvalidShapeHeader {
        source: ShapeError,
    },
    InvalidEncodedDType {
        dtype: AnyArrayDType,
    },
    MismatchedDecodeIntoDtype {
        configured: LinearQuantizeDType,
        provided: AnyArrayDType,
    },
    MismatchedDecodeIntoShape {
        decoded: Vec<usize>,
        provided: Vec<usize>,
    },
}

Errors that may occur when applying the LinearQuantizeCodec.

Variants

MismatchedEncodeDType

LinearQuantizeCodec cannot encode the provided dtype which differs from the configured dtype

Fields

configured: LinearQuantizeDType

Dtype of the configured dtype

provided: AnyArrayDType

Dtype of the provided array from which the data is to be encoded

NonFiniteData

LinearQuantizeCodec does not support non-finite (infinite or NaN) floating point data

HeaderEncodeFailed

LinearQuantizeCodec failed to encode the header

Fields

source: LinearQuantizeHeaderError

Opaque source error

EncodedDataNotOneDimensional

LinearQuantizeCodec can only decode one-dimensional arrays but received an array of a different shape

Fields

shape: Vec<usize>

The unexpected shape of the encoded array

HeaderDecodeFailed

LinearQuantizeCodec failed to decode the header

Fields

source: LinearQuantizeHeaderError

Opaque source error

DecodeInvalidShapeHeader

LinearQuantizeCodec decoded an invalid array shape header which does not fit the decoded data

Fields

source: ShapeError

Source error

InvalidEncodedDType

LinearQuantizeCodec cannot decode the provided dtype

Fields

dtype: AnyArrayDType

Dtype of the provided array from which the data is to be decoded

MismatchedDecodeIntoDtype

LinearQuantizeCodec cannot decode the provided dtype which differs from the configured dtype

Fields

configured: LinearQuantizeDType

Dtype of the configured dtype

provided: AnyArrayDType

Dtype of the provided array into which the data is to be decoded

MismatchedDecodeIntoShape

LinearQuantizeCodec cannot decode the decoded array into the provided array of a different shape

Fields

decoded: Vec<usize>

Shape of the decoded data

provided: Vec<usize>

Shape of the provided array into which the data is to be decoded

Trait Implementations

impl Debug for LinearQuantizeCodecError

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

Formats the value using the given formatter.

impl Display for LinearQuantizeCodecError

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

Formats the value using the given formatter.

impl Error for LinearQuantizeCodecError

fn source(&self) -> Option<&(dyn Error + 'static)>

Returns the lower-level source of this error, if any.

fn description(&self) -> &str

👎Deprecated since 1.42.0: use the Display impl or to_string()

fn cause(&self) -> Option<&dyn Error>

👎Deprecated since 1.33.0: replaced by Error::source, which can support downcasting

fn provide<'a>(&'a self, request: &mut Request<'a>)

🔬This is a nightly-only experimental API. (error_generic_member_access)

Provides type-based access to context intended for error reports.

impl From<ShapeError> for LinearQuantizeCodecError

fn from(source: ShapeError) -> Self

Converts to this type from the input type.