Method initialize

src/models/vevo2/fm.cpp:948–967

        if (static_cast<int64_t>(timestep.size()) != config.hidden_size) {
            throw std::runtime_error("Vevo2 FM step timestep shape mismatch");
        }
        ggml_backend_tensor_set(timestep_input, timestep.data(), 0, timestep.size() * sizeof(float));
        const ggml_status status = engine::core::compute_backend_graph(backend, graph);
        ggml_backend_synchronize(backend);
        if (status != GGML_STATUS_SUCCESS) {
            throw std::runtime_error("Vevo2 FM step graph compute failed");
        }
        ggml_backend_tensor_copy(output, xt_input);
    }

    std::vector<float> read_output(const Vevo2FMConfig & config) const {
        std::vector<float> out(static_cast<size_t>(target_frames * config.mel_dim), 0.0F);
        ggml_backend_tensor_get(output, out.data(), 0, out.size() * sizeof(float));
        return out;
    }

    ggml_backend_t backend = nullptr;
    std::shared_ptr<const Vevo2FMWeights> weights;
    int64_t cond_frames = 0;
    int64_t prompt_frames = 0;
    int64_t target_frames = 0;
    std::unique_ptr<ggml_context, GgmlContextDeleter> ctx;
    ggml_tensor * prompt_input = nullptr;