Function build_norm

src/framework/modules/norm_modules.cpp:128–142

        result = core::wrap_tensor(ggml_mul(ctx.ggml, result.tensor, weight.tensor), result.shape, GGML_TYPE_F32);
    }
    if (config.use_bias) {
        if (!weights.bias.has_value()) {
            throw std::runtime_error("bias is required when NormConfig.use_bias is true");
        }
        core::validate_shape(*weights.bias, core::TensorShape::from_dims({config.hidden_size}), "bias");
        const auto bias = ensure_f32(ctx, *weights.bias);
        result = core::wrap_tensor(ggml_add(ctx.ggml, result.tensor, bias.tensor), result.shape, GGML_TYPE_F32);
    }
    return result;
}

void validate_norm_config(const NormConfig & config) {
    if (config.hidden_size <= 0) {
        throw std::runtime_error("NormConfig.hidden_size must be positive");
    }
    if (!(config.eps > 0.0f)) {
        throw std::runtime_error("NormConfig.eps must be positive");
    }