import { Variable } from '../../autograd/variable';
import { Module } from '../module';
/**
 * Base class for all gradient based model optimizers.
 */
export declare abstract class Optimizer {
    model: Module;
    parameters: Variable<any>[];
    /**
     * Construct a new optimizer for a particular model
     */
    constructor(model: Module);
    /**
     * Make one optimization step. This assumes that gradients where
     * computed previously by calling backward on a scalar variable before.
     */
    abstract step(): void;
    /**
     * Zeros all gradients of the model parameters. This should be called
     * after each optimization step, when the gradients are no longer needed.
     */
    zeroGrads(): void;
}