/**
 * Activation functions
 */
import type { WebInferContext } from '../core/context.ts';
import type { Tensor } from '../core/tensor.ts';
/**
 * SiLU (Swish) activation with gating
 *
 * Input tensor has shape [..., 2 * hidden_size]
 * Splits into gate[..., :hidden_size] and up[..., hidden_size:]
 * Computes: output = silu(gate) * up
 * Where silu(x) = x * sigmoid(x) = x / (1 + exp(-x))
 *
 * @param ctx WebInfer context
 * @param input Input tensor of shape [..., 2 * hidden_size]
 * @returns Activated tensor of shape [..., hidden_size]
 */
export declare function silu_and_mul(ctx: WebInferContext, input: Tensor): Promise<Tensor>;
/**
 * GELU activation with gating
 *
 * Input tensor has shape [..., 2 * hidden_size]
 * Computes: output = gelu(gate) * up
 * Where gelu(x) ≈ 0.5 * x * (1 + tanh(sqrt(2/π) * (x + 0.044715 * x^3)))
 *
 * @param ctx WebInfer context
 * @param input Input tensor of shape [..., 2 * hidden_size]
 * @returns Activated tensor of shape [..., hidden_size]
 */
export declare function gelu_and_mul(ctx: WebInferContext, input: Tensor): Promise<Tensor>;