Enum TrainError 

pub enum TrainError {
    LossError(String),
    OptimizerError(String),
    BatchError(String),
    CallbackError(String),
    MetricsError(String),
    CheckpointError(String),
    InvalidParameter(String),
    ModelError(String),
    ConfigError(String),
    ExecutorError(ExecutorError),
    Other(String),
}

Errors that can occur during training.

Variants

LossError(String)

Error in loss computation.

OptimizerError(String)

Error in optimizer operation.

BatchError(String)

Error in batch processing.

CallbackError(String)

Error in callback execution.

MetricsError(String)

Error in metrics computation.

CheckpointError(String)

Error in checkpoint save/load.

InvalidParameter(String)

Error with invalid parameter.

ModelError(String)

Error in model operations.

ConfigError(String)

Error in configuration.

ExecutorError(ExecutorError)

Error from tensorlogic-infer.

Other(String)

Generic error.

Trait Implementations

impl Debug for TrainError

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

Formats the value using the given formatter.

impl Display for TrainError

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

Formats the value using the given formatter.

impl Error for TrainError

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<ExecutorError> for TrainError

fn from(source: ExecutorError) -> Self

Converts to this type from the input type.