Struct MseLoss 

pub struct MseLoss;

Calculate the mean squared error loss from the input logits and the targets.

Implementations

impl MseLoss

pub fn new() -> Self

Create the criterion.

pub fn forward( &self, logits: Tensor<2>, targets: Tensor<2>, reduction: Reduction, ) -> Tensor<1>

Compute the criterion on the input tensor.

Shapes

• logits: [batch_size, num_targets]
• targets: [batch_size, num_targets]

pub fn forward_no_reduction<const D: usize>( &self, logits: Tensor<D>, targets: Tensor<D>, ) -> Tensor<D>

Compute the criterion on the input tensor without reducing.

Trait Implementations

impl AutodiffModule for MseLoss

fn valid(&self) -> Self

Returns the same module, but on the inner backend without auto-differentiation.

fn from_inner(module: Self) -> Self

Wraps an inner module back into an auto-diff module.

impl Clone for MseLoss

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MseLoss

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

Formats the value using the given formatter.

impl Default for MseLoss

fn default() -> Self

Returns the “default value” for a type.

impl Display for MseLoss

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

Formats the value using the given formatter.

impl Module for MseLoss

type Record = EmptyRecord

Type to save and load the module.

fn visit<V: ModuleVisitor>(&self, _visitor: &mut V)

Visit each tensor parameter in the module with a visitor.

fn map<M: ModuleMapper>(self, _mapper: &mut M) -> Self

Map each tensor parameter in the module with a mapper.

fn load_record(self, _record: Self::Record) -> Self

Load the module state from a record.

fn into_record(self) -> Self::Record

Convert the module into a record containing the state.

fn to_device(self, _: &Device) -> Self

Move the module and all of its sub-modules to the given device.

fn fork(self, _: &Device) -> Self

Fork the module and all of its sub-modules to the given device.

fn collect_devices(&self, devices: Devices) -> Devices

Return all the devices found in the underneath module tree added to the given vector without duplicates.

fn devices(&self) -> Vec<Device>

Return all the devices found in the underneath module tree without duplicates.

fn no_grad(self) -> Self

Each tensor in the module tree will not require grad.

fn train(self) -> Self

where Self: AutodiffModule,

Move the module and all of its sub-modules to the autodiff backend.

fn num_params(&self) -> usize

Get the number of parameters the module has, including all of its sub-modules.

fn quantize_weights(self, quantizer: &mut Quantizer) -> Self

Quantize the weights of the module.

impl ModuleDisplay for MseLoss

fn format(&self, passed_settings: DisplaySettings) -> String

Formats the module with provided display settings.

fn custom_settings(&self) -> Option<DisplaySettings>

Custom display settings for the module.

fn custom_content(&self, _content: Content) -> Option<Content>

Custom attributes for the module.

impl ModuleDisplayDefault for MseLoss

fn content(&self, content: Content) -> Option<Content>

Attributes of the module used for display purposes.

fn num_params(&self) -> usize

Gets the number of the parameters of the module.