Trait AutodiffModel 

pub trait AutodiffModel: Model {
    // Provided methods
    fn forward_autodiff(
        &self,
        input: &ArrayView<'_, f64, Ix2>,
    ) -> TrainResult<()> { ... }
    fn compute_gradients(&self) -> TrainResult<HashMap<String, Array<f64, Ix2>>> { ... }
}

Trait for models that support automatic differentiation via scirs2-autograd.

This trait extends the base Model trait with support for training using SciRS2’s automatic differentiation system.

Note: This trait is currently a placeholder for future scirs2-autograd integration. The actual Variable type will be specified once scirs2-autograd is fully integrated.

Provided Methods

fn forward_autodiff(&self, input: &ArrayView<'_, f64, Ix2>) -> TrainResult<()>

Forward pass with autodiff tracking (placeholder).

Arguments

• input - Input data array

Returns

Success indicator (actual implementation will return autodiff Variable)

fn compute_gradients(&self) -> TrainResult<HashMap<String, Array<f64, Ix2>>>

Compute gradients automatically using backward pass (placeholder).

Returns

Gradients for all parameters

Implementors