Method run

src/framework/modules/hift_vocoder.cpp:592–606

    }

    std::vector<float> run(const std::vector<float> & mel, int64_t frames) {
        if (frames != capacity_frames_) {
            throw std::runtime_error("HiFT F0 graph frame mismatch");
        }
        ggml_backend_tensor_set(input_, mel.data(), 0, mel.size() * sizeof(float));
        if (engine::core::compute_backend_graph(weights_->execution_context->backend(), graph_) != GGML_STATUS_SUCCESS) {
            throw std::runtime_error("ggml_backend_graph_compute failed for HiFT F0 predictor");
        }
        auto raw = core::read_tensor_f32(output_);
        std::vector<float> f0(static_cast<size_t>(frames), 0.0F);
        for (int64_t t = 0; t < frames; ++t) {
            f0[static_cast<size_t>(t)] = raw[static_cast<size_t>(t)];
        }
        return f0;
    }

private:
    const HiftVocoderWeights * weights_ = nullptr;