Method run

src/framework/audio/deepfilternet2.cpp:851–865

    }

    DeepFilterNet2GraphOutput run(const Tensor4 & feat_erb, const Tensor4 & feat_spec) const {
        ggml_backend_tensor_set(feat_erb_, feat_erb.v.data(), 0, feat_erb.v.size() * sizeof(float));
        ggml_backend_tensor_set(feat_spec_, feat_spec.v.data(), 0, feat_spec.v.size() * sizeof(float));
        const auto status = core::compute_backend_graph(backend_, graph_, plan_, "DeepFilterNet2 forward");
        ggml_backend_synchronize(backend_);
        if (status != GGML_STATUS_SUCCESS) {
            throw std::runtime_error("DeepFilterNet2 forward graph compute failed");
        }
        return {
            read_tensor(mask_, mask_shape_),
            read_tensor(coefs_, coefs_shape_),
            read_tensor(lsnr_, lsnr_shape_),
            read_tensor(alpha_, alpha_shape_),
        };
    }

private:
    DeepFilterNet2Tensor read_tensor(ggml_tensor * tensor, const core::TensorShape & shape) const {