Enum intricate::loss_functions::LossToModelOutputsDerivativesComputationError

pub enum LossToModelOutputsDerivativesComputationError {
    NotInitialized,
    NoCommandQueue,
    OpenCL(ClError),
    SumOutputsPerSmaple(ReduceOutputsPerSampleError),
    OutputsAndExpectedOutputsDoNotMatch,
    TrainingDataDoesNotHaveExpectedSamplesAmount,
    KernelNotFound(KernelNotFoundError),
    ProgramNotFound(ProgramNotFoundError),
    BufferOperation(BufferOperationError),
}

An enum containing all of the possible errors that can happen when trying to compute the derivatives of the loss of a Model with respect to its outputs to do gradient descent on it.

Variants

NotInitialized

Happens when the LossFunction trait object was not initialized.

NoCommandQueue

Happens when there is no command queue in the OpenCLState.

OpenCL(ClError)

Happens when something goes wrong with OpenCL.

SumOutputsPerSmaple(ReduceOutputsPerSampleError)

Happens when something goes wrong whle trying to sum the outputs for each sample separetly (used in the Categorical Cross Entropy loss fn)

OutputsAndExpectedOutputsDoNotMatch

Happens when the expected outputs and the actual outputs do not match in size.

TrainingDataDoesNotHaveExpectedSamplesAmount

Happens when the given training data does not have the amount of samples specified inside of it.

KernelNotFound(KernelNotFoundError)

Happens when a required kernel was not found

ProgramNotFound(ProgramNotFoundError)

Happens when a required program was not found

BufferOperation(BufferOperationError)

Happens when a buffer operation goes wrong

Trait Implementations

impl Debug for LossToModelOutputsDerivativesComputationError

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

Formats the value using the given formatter.

impl From<BufferOperationError> for LossToModelOutputsDerivativesComputationError

fn from(v: BufferOperationError) -> Self

Converts to this type from the input type.

impl From<ClError> for LossToModelOutputsDerivativesComputationError

fn from(v: ClError) -> Self

Converts to this type from the input type.

impl From<KernelNotFoundError> for LossToModelOutputsDerivativesComputationError

fn from(v: KernelNotFoundError) -> Self

Converts to this type from the input type.

impl From<LossToModelOutputsDerivativesComputationError> for ModelGradientComputationError

fn from(v: LossToModelOutputsDerivativesComputationError) -> Self

Converts to this type from the input type.

impl From<ProgramNotFoundError> for LossToModelOutputsDerivativesComputationError

fn from(v: ProgramNotFoundError) -> Self

Converts to this type from the input type.

impl From<ReduceOutputsPerSampleError> for LossToModelOutputsDerivativesComputationError

fn from(v: ReduceOutputsPerSampleError) -> Self

Converts to this type from the input type.