Function repeat_channels

src/framework/modules/norm_modules.cpp:154–163

    const core::TensorValue & normalized,
    const NormConfig & config,
    const NormWeights & weights) {
    core::TensorValue result = normalized;
    if (config.use_weight) {
        if (!weights.weight.has_value()) {
            throw std::runtime_error("weight is required when NormConfig.use_weight is true");
        }
        core::validate_shape(*weights.weight, core::TensorShape::from_dims({config.hidden_size}), "weight");
        const auto weight = ensure_f32(ctx, *weights.weight);
        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");